diff --git a/.gitmodules b/.gitmodules index 3eb51e3..f37a0ab 100644 --- a/.gitmodules +++ b/.gitmodules @@ -10,3 +10,6 @@ [submodule "scripts/solvers/matlab/sdpt3"] path = scripts/solvers/matlab/sdpt3 url = https://github.com/sqlp/sdpt3 +[submodule "problems/NETLIB"] + path = problems/NETLIB + url = https://github.com/ozy4dm/lp-data-netlib.git diff --git a/config/problem_registry.yaml b/config/problem_registry.yaml index 4e4922b..2f4e850 100644 --- a/config/problem_registry.yaml +++ b/config/problem_registry.yaml @@ -1174,3 +1174,856 @@ problem_libraries: library_name: "SDPLIB" for_test_flag: false known_objective_value: 1.33115e+02 + + # ============================================================================ + # NETLIB Library - LP Benchmark Problems (94 problems) + # Source: https://github.com/ozy4dm/lp-data-netlib + # Format: MPS (Mathematical Programming System) + # ============================================================================ + + # Small test problems (for_test_flag: true) + afiro: + display_name: "AFIRO (NETLIB)" + file_path: "problems/NETLIB/mps_files/afiro.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: true + known_objective_value: -464.7531429 + + sc50a: + display_name: "SC50A (NETLIB)" + file_path: "problems/NETLIB/mps_files/sc50a.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: true + known_objective_value: -64.57507706 + + sc50b: + display_name: "SC50B (NETLIB)" + file_path: "problems/NETLIB/mps_files/sc50b.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: true + known_objective_value: -70 + + blend: + display_name: "BLEND (NETLIB)" + file_path: "problems/NETLIB/mps_files/blend.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: true + known_objective_value: -30.81214985 + + kb2: + display_name: "KB2 (NETLIB)" + file_path: "problems/NETLIB/mps_files/kb2.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: true + known_objective_value: -1749.90013 + + # Remaining NETLIB problems (alphabetical order) + netlib_25fv47: + display_name: "25FV47 (NETLIB)" + file_path: "problems/NETLIB/mps_files/25fv47.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 5501.845888 + + netlib_80bau3b: + display_name: "80BAU3B (NETLIB)" + file_path: "problems/NETLIB/mps_files/80bau3b.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 987232.1607 + + adlittle: + display_name: "ADLITTLE (NETLIB)" + file_path: "problems/NETLIB/mps_files/adlittle.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 225494.9632 + + agg: + display_name: "AGG (NETLIB)" + file_path: "problems/NETLIB/mps_files/agg.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -35991767.29 + + agg2: + display_name: "AGG2 (NETLIB)" + file_path: "problems/NETLIB/mps_files/agg2.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -20239252.36 + + agg3: + display_name: "AGG3 (NETLIB)" + file_path: "problems/NETLIB/mps_files/agg3.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 10312115.94 + + bandm: + display_name: "BANDM (NETLIB)" + file_path: "problems/NETLIB/mps_files/bandm.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -158.6280185 + + beaconfd: + display_name: "BEACONFD (NETLIB)" + file_path: "problems/NETLIB/mps_files/beaconfd.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 33592.48581 + + bnl1: + display_name: "BNL1 (NETLIB)" + file_path: "problems/NETLIB/mps_files/bnl1.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1977.629286 + + bnl2: + display_name: "BNL2 (NETLIB)" + file_path: "problems/NETLIB/mps_files/bnl2.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1811.23654 + + boeing1: + display_name: "BOEING1 (NETLIB)" + file_path: "problems/NETLIB/mps_files/boeing1.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -335.2135675 + + boeing2: + display_name: "BOEING2 (NETLIB)" + file_path: "problems/NETLIB/mps_files/boeing2.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -315.018728 + + bore3d: + display_name: "BORE3D (NETLIB)" + file_path: "problems/NETLIB/mps_files/bore3d.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1373.080394 + + brandy: + display_name: "BRANDY (NETLIB)" + file_path: "problems/NETLIB/mps_files/brandy.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1518.509896 + + capri: + display_name: "CAPRI (NETLIB)" + file_path: "problems/NETLIB/mps_files/capri.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 2690.012914 + + cycle: + display_name: "CYCLE (NETLIB)" + file_path: "problems/NETLIB/mps_files/cycle.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -5.226393025 + + czprob: + display_name: "CZPROB (NETLIB)" + file_path: "problems/NETLIB/mps_files/czprob.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 2185196.699 + + d2q06c: + display_name: "D2Q06C (NETLIB)" + file_path: "problems/NETLIB/mps_files/d2q06c.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 122784.2361 + + d6cube: + display_name: "D6CUBE (NETLIB)" + file_path: "problems/NETLIB/mps_files/d6cube.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 315.4916667 + + degen2: + display_name: "DEGEN2 (NETLIB)" + file_path: "problems/NETLIB/mps_files/degen2.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -1435.178 + + degen3: + display_name: "DEGEN3 (NETLIB)" + file_path: "problems/NETLIB/mps_files/degen3.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -987.294 + + dfl001: + display_name: "DFL001 (NETLIB)" + file_path: "problems/NETLIB/mps_files/dfl001.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 11266400 + + e226: + display_name: "E226 (NETLIB)" + file_path: "problems/NETLIB/mps_files/e226.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -18.75192907 + + etamacro: + display_name: "ETAMACRO (NETLIB)" + file_path: "problems/NETLIB/mps_files/etamacro.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -755.7152177 + + fffff800: + display_name: "FFFFF800 (NETLIB)" + file_path: "problems/NETLIB/mps_files/fffff800.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 555679.6116 + + finnis: + display_name: "FINNIS (NETLIB)" + file_path: "problems/NETLIB/mps_files/finnis.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 172790.9655 + + fit1d: + display_name: "FIT1D (NETLIB)" + file_path: "problems/NETLIB/mps_files/fit1d.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -9146.378092 + + fit1p: + display_name: "FIT1P (NETLIB)" + file_path: "problems/NETLIB/mps_files/fit1p.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 9146.378092 + + fit2d: + display_name: "FIT2D (NETLIB)" + file_path: "problems/NETLIB/mps_files/fit2d.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -68464.29329 + + fit2p: + display_name: "FIT2P (NETLIB)" + file_path: "problems/NETLIB/mps_files/fit2p.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 68464.29323 + + forplan: + display_name: "FORPLAN (NETLIB)" + file_path: "problems/NETLIB/mps_files/forplan.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -664.2187395 + + ganges: + display_name: "GANGES (NETLIB)" + file_path: "problems/NETLIB/mps_files/ganges.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -109586.3636 + + gfrd_pnc: + display_name: "GFRD-PNC (NETLIB)" + file_path: "problems/NETLIB/mps_files/gfrd-pnc.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 6902235.999 + + greenbea: + display_name: "GREENBEA (NETLIB)" + file_path: "problems/NETLIB/mps_files/greenbea.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -72462405.91 + + greenbeb: + display_name: "GREENBEB (NETLIB)" + file_path: "problems/NETLIB/mps_files/greenbeb.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -4302147.606 + + grow15: + display_name: "GROW15 (NETLIB)" + file_path: "problems/NETLIB/mps_files/grow15.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -106870941.3 + + grow22: + display_name: "GROW22 (NETLIB)" + file_path: "problems/NETLIB/mps_files/grow22.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -160834336.5 + + grow7: + display_name: "GROW7 (NETLIB)" + file_path: "problems/NETLIB/mps_files/grow7.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -47787811.81 + + israel: + display_name: "ISRAEL (NETLIB)" + file_path: "problems/NETLIB/mps_files/israel.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -896644.8219 + + lotfi: + display_name: "LOTFI (NETLIB)" + file_path: "problems/NETLIB/mps_files/lotfi.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -25.26470606 + + maros: + display_name: "MAROS (NETLIB)" + file_path: "problems/NETLIB/mps_files/maros.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -58063.7437 + + maros_r7: + display_name: "MAROS-R7 (NETLIB)" + file_path: "problems/NETLIB/mps_files/maros-r7.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1497185.167 + + modszk1: + display_name: "MODSZK1 (NETLIB)" + file_path: "problems/NETLIB/mps_files/modszk1.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 320.6197291 + + nesm: + display_name: "NESM (NETLIB)" + file_path: "problems/NETLIB/mps_files/nesm.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 14076073.04 + + perold: + display_name: "PEROLD (NETLIB)" + file_path: "problems/NETLIB/mps_files/perold.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -9380.758077 + + pilot: + display_name: "PILOT (NETLIB)" + file_path: "problems/NETLIB/mps_files/pilot.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -557.4043001 + + pilot_ja: + display_name: "PILOT.JA (NETLIB)" + file_path: "problems/NETLIB/mps_files/pilot.ja.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -6113.134411 + + pilot_we: + display_name: "PILOT.WE (NETLIB)" + file_path: "problems/NETLIB/mps_files/pilot.we.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -2720102.744 + + pilot4: + display_name: "PILOT4 (NETLIB)" + file_path: "problems/NETLIB/mps_files/pilot4.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -2581.139264 + + pilot87: + display_name: "PILOT87 (NETLIB)" + file_path: "problems/NETLIB/mps_files/pilot87.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 301.7107283 + + pilotnov: + display_name: "PILOTNOV (NETLIB)" + file_path: "problems/NETLIB/mps_files/pilotnov.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -4497.276188 + + recipe: + display_name: "RECIPE (NETLIB)" + file_path: "problems/NETLIB/mps_files/recipe.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -266.616 + + sc105: + display_name: "SC105 (NETLIB)" + file_path: "problems/NETLIB/mps_files/sc105.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -52.20206121 + + sc205: + display_name: "SC205 (NETLIB)" + file_path: "problems/NETLIB/mps_files/sc205.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -52.20206121 + + scagr25: + display_name: "SCAGR25 (NETLIB)" + file_path: "problems/NETLIB/mps_files/scagr25.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -14753433.06 + + scagr7: + display_name: "SCAGR7 (NETLIB)" + file_path: "problems/NETLIB/mps_files/scagr7.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -2331389.255 + + scfxm1: + display_name: "SCFXM1 (NETLIB)" + file_path: "problems/NETLIB/mps_files/scfxm1.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 18416.75903 + + scfxm2: + display_name: "SCFXM2 (NETLIB)" + file_path: "problems/NETLIB/mps_files/scfxm2.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 36660.26157 + + scfxm3: + display_name: "SCFXM3 (NETLIB)" + file_path: "problems/NETLIB/mps_files/scfxm3.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 54901.25455 + + scorpion: + display_name: "SCORPION (NETLIB)" + file_path: "problems/NETLIB/mps_files/scorpion.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1878.124823 + + scrs8: + display_name: "SCRS8 (NETLIB)" + file_path: "problems/NETLIB/mps_files/scrs8.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 904.2999862 + + scsd1: + display_name: "SCSD1 (NETLIB)" + file_path: "problems/NETLIB/mps_files/scsd1.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 8.666666674 + + scsd6: + display_name: "SCSD6 (NETLIB)" + file_path: "problems/NETLIB/mps_files/scsd6.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 50.50000008 + + scsd8: + display_name: "SCSD8 (NETLIB)" + file_path: "problems/NETLIB/mps_files/scsd8.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 904.9999999 + + sctap1: + display_name: "SCTAP1 (NETLIB)" + file_path: "problems/NETLIB/mps_files/sctap1.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1412.25 + + sctap2: + display_name: "SCTAP2 (NETLIB)" + file_path: "problems/NETLIB/mps_files/sctap2.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1724.807143 + + sctap3: + display_name: "SCTAP3 (NETLIB)" + file_path: "problems/NETLIB/mps_files/sctap3.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1424 + + seba: + display_name: "SEBA (NETLIB)" + file_path: "problems/NETLIB/mps_files/seba.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 15711.6 + + share1b: + display_name: "SHARE1B (NETLIB)" + file_path: "problems/NETLIB/mps_files/share1b.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -76589.31858 + + share2b: + display_name: "SHARE2B (NETLIB)" + file_path: "problems/NETLIB/mps_files/share2b.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -415.7322407 + + shell: + display_name: "SHELL (NETLIB)" + file_path: "problems/NETLIB/mps_files/shell.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1208825346 + + ship04l: + display_name: "SHIP04L (NETLIB)" + file_path: "problems/NETLIB/mps_files/ship04l.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1793324.538 + + ship04s: + display_name: "SHIP04S (NETLIB)" + file_path: "problems/NETLIB/mps_files/ship04s.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1798714.7 + + ship08l: + display_name: "SHIP08L (NETLIB)" + file_path: "problems/NETLIB/mps_files/ship08l.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1909055.211 + + ship08s: + display_name: "SHIP08S (NETLIB)" + file_path: "problems/NETLIB/mps_files/ship08s.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1920098.211 + + ship12l: + display_name: "SHIP12L (NETLIB)" + file_path: "problems/NETLIB/mps_files/ship12l.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1470187.919 + + ship12s: + display_name: "SHIP12S (NETLIB)" + file_path: "problems/NETLIB/mps_files/ship12s.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1489236.134 + + sierra: + display_name: "SIERRA (NETLIB)" + file_path: "problems/NETLIB/mps_files/sierra.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 15394362.18 + + stair: + display_name: "STAIR (NETLIB)" + file_path: "problems/NETLIB/mps_files/stair.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -251.2669512 + + standata: + display_name: "STANDATA (NETLIB)" + file_path: "problems/NETLIB/mps_files/standata.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1257.6995 + + standgub: + display_name: "STANDGUB (NETLIB)" + file_path: "problems/NETLIB/mps_files/standgub.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + + standmps: + display_name: "STANDMPS (NETLIB)" + file_path: "problems/NETLIB/mps_files/standmps.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1406.0175 + + stocfor1: + display_name: "STOCFOR1 (NETLIB)" + file_path: "problems/NETLIB/mps_files/stocfor1.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -41131.97622 + + stocfor2: + display_name: "STOCFOR2 (NETLIB)" + file_path: "problems/NETLIB/mps_files/stocfor2.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: -39024.40854 + + netlib_truss: + display_name: "TRUSS (NETLIB)" + file_path: "problems/NETLIB/mps_files/truss.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 458815.8472 + + tuff: + display_name: "TUFF (NETLIB)" + file_path: "problems/NETLIB/mps_files/tuff.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 0.2921477651 + + vtp_base: + display_name: "VTP.BASE (NETLIB)" + file_path: "problems/NETLIB/mps_files/vtp.base.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 129831.4625 + + wood1p: + display_name: "WOOD1P (NETLIB)" + file_path: "problems/NETLIB/mps_files/wood1p.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1.442902412 + + woodw: + display_name: "WOODW (NETLIB)" + file_path: "problems/NETLIB/mps_files/woodw.mps" + file_type: "mps" + library_name: "NETLIB" + problem_type: "LP" + for_test_flag: false + known_objective_value: 1.304476333 diff --git a/docs/development/basic_design.md b/docs/development/basic_design.md index 5dc49a9..6c6eb46 100644 --- a/docs/development/basic_design.md +++ b/docs/development/basic_design.md @@ -142,6 +142,7 @@ python main.py --all --timeout 600 # 10-minute timeout for large SDP problems - **Consistent Environments**: Standardized execution via GitHub Actions - **Complete Metadata**: Environment info saved with all results - **Version Control**: Git commit tracking for all benchmark runs +- **Original Status Preservation**: Complete solver-specific status codes and statistics preserved for research reproducibility --- diff --git a/docs/development/detail_design.md b/docs/development/detail_design.md index 5e5a67d..56ba198 100644 --- a/docs/development/detail_design.md +++ b/docs/development/detail_design.md @@ -220,11 +220,22 @@ Standardized dataclass returned by every solver: `solve_time`, `status`, primal/ | Status | Meaning | |--------|---------| | `OPTIMAL` | Solver found an optimal solution | +| `OPTIMAL (INACCURATE)` | Solution found but with numerical warnings | | `ERROR` | Solver-level error (convergence failure, numerical issues) | +| `NUM_ERROR` | Numerical difficulties (matrix singularity, divergence) | +| `STALLED` | Algorithm progress stagnated (can retry with different params) | +| `MAX_ITER` | Maximum iteration limit reached | +| `INFEASIBLE` | Problem has no feasible solution | +| `UNBOUNDED` | Problem is unbounded | | `UNSUPPORTED` | Problem type not supported by the solver | | `TIMEOUT` | Execution time limit exceeded | | `SIGKILL` | Process forcibly terminated (typically OOM) | | `SUBPROCESS_ERROR` | Subprocess execution error (crash, library issues) | +| `UNKNOWN` | Unclear solver state | + +**`additional_info['original_status']`** preserves complete solver-specific status information for reproducibility: +- MATLAB solvers (SDPT3/SEDUMI): `termcode`/`pinf`/`dinf`/`numerr` (original solver status codes), `iter` (iteration count), `full_info` (complete solver info structure) +- Python solvers (CVXPY/SciPy): `cvxpy_status`/`scipy_status` (original solver status), `solver_stats` (complete backend statistics), backend-specific metrics (`solve_time`, `num_iters`, etc.) --- diff --git a/docs/guides/NETLIB_KNOWN_OBJECTIVES.md b/docs/guides/NETLIB_KNOWN_OBJECTIVES.md new file mode 100644 index 0000000..831efc1 --- /dev/null +++ b/docs/guides/NETLIB_KNOWN_OBJECTIVES.md @@ -0,0 +1,84 @@ +# NETLIB Known Objective Values + +This note documents the source and caveats of the `known_objective_value` +entries for NETLIB problems in `config/problem_registry.yaml`, and a data +quality issue discovered while validating them. + +## Source + +The values come from the official NETLIB LP problem summary table published +at [`netlib.org/lp/data/readme`](https://www.netlib.org/lp/data/readme), +compiled by Bob Bixby. Per that document: + +> "The optimal values are from MINOS version 5.3 (of Sept. 1988) running on +> a VAX with default options." + +### Caveats from the source + +- **Solver/platform sensitivity**: MINOS control parameters (SCALE, PARTIAL + PRICE, FEASIBILITY TOLERANCE, OPTIMALITY TOLERANCE, CRASH OPTION), the + MINOS version, the computer, and even the compiler used can all affect the + reported value. +- **Known solver discrepancies**: Bob Bixby reports that CPLEX (on a Sparc + station) finds slightly different optimal values for some problems. +- **`standgub` has no reported value**: `STANDGUB` includes GUB (generalized + upper bound) markers that MINOS does not understand. Per the source + readme, removing those marker rows (`EGROUP`/`ENDX`) makes `STANDGUB` + identical to `STANDATA`. `config/problem_registry.yaml` intentionally + leaves `standgub` without a `known_objective_value`. + +### Name mapping + +A few registry keys differ from the NETLIB table's names (dots/hyphens +aren't valid YAML keys, and a couple of names collide with existing +DIMACS/SDPLIB problems): + +| Registry key | NETLIB name | +|---|---| +| `netlib_25fv47` | `25FV47` | +| `netlib_80bau3b` | `80BAU3B` | +| `netlib_truss` | `TRUSS` | +| `gfrd_pnc` | `GFRD-PNC` | +| `maros_r7` | `MAROS-R7` | +| `pilot_ja` | `PILOT.JA` | +| `pilot_we` | `PILOT.WE` | +| `vtp_base` | `VTP.BASE` | + +All other registry keys match the NETLIB name case-insensitively. + +## Data quality finding: free-variable problems + +While cross-checking benchmark results against these known values, a +pre-existing bug was found in `scripts/data_loaders/python/mps_loader.py` +(and, by inheritance, in `scripts/solvers/python/scipy_runner.py`'s and +CVXPY's bounds/cone reconstruction): variables are **not reordered** so that +free variables (MPS `FR`/`MI` bounds) come first, even though the +`cone_structure` the loader emits (`free_vars` / `nonneg_vars` counts) is +consumed downstream *assuming* that ordering. As a result, whichever +variables happen to occupy the first `free_vars` positions in the original +MPS column order are treated as free, and the rest as nonnegative — +frequently the wrong assignment. + +This was confirmed by comparing benchmark results against the known +objective values above. The 11 affected NETLIB problems (those with `FR` or +`MI` bounds) are: `capri`, `cycle`, `greenbeb`, `modszk1`, `pilot_ja`, +`pilot_we`, `perold`, `pilot4`, `tuff`, `stair`, `vtp_base`. + +For most of these, Python solvers (CVXPY backends and `scipy_linprog` alike) +report `OPTIMAL`/`INFEASIBLE`/`UNBOUNDED` with objective values that do not +match the known value — e.g. `capri`'s known optimum is `2690.0129`, but +CVXPY backends report values from `-1668.57` to `-86.8`. + +`scripts/data_loaders/matlab/mps_loader.m` (added alongside this check) +performs the reordering correctly and matches the known values closely for +10 of the 11 problems (`modszk1` remains unexplained and needs further +investigation). + +**This bug has not been fixed** — fixing `mps_loader.py` (and verifying the +downstream CVXPY/SciPy bounds reconstruction) is a separate task. + +## Related files + +- [`config/problem_registry.yaml`](../../config/problem_registry.yaml) — the `known_objective_value` fields themselves +- [`scripts/data_loaders/python/mps_loader.py`](../../scripts/data_loaders/python/mps_loader.py) — Python MPS loader (has the ordering bug) +- [`scripts/data_loaders/matlab/mps_loader.m`](../../scripts/data_loaders/matlab/mps_loader.m) — MATLAB MPS loader (reorders correctly) diff --git a/docs/guides/README.md b/docs/guides/README.md index 53cb8c1..bbf2bb7 100644 --- a/docs/guides/README.md +++ b/docs/guides/README.md @@ -8,5 +8,6 @@ | [PR_PREVIEW_GUIDE.md](PR_PREVIEW_GUIDE.md) | Pull request preview deployments | | [EXTERNAL_LIBRARIES.md](EXTERNAL_LIBRARIES.md) | DIMACS / SDPLIB problem library setup | | [EXPORT_GUIDE.md](EXPORT_GUIDE.md) | Accessing exported benchmark data (JSON/CSV) | +| [NETLIB_KNOWN_OBJECTIVES.md](NETLIB_KNOWN_OBJECTIVES.md) | Source and caveats for NETLIB `known_objective_value` entries | For design documents, see [docs/development/](../development/). When updating guides, verify commands and file paths against the current implementation (`python main.py --help`). diff --git a/docs/pages/data/benchmark_results_all.csv b/docs/pages/data/benchmark_results_all.csv index 7c84f65..85c0e25 100644 --- a/docs/pages/data/benchmark_results_all.csv +++ b/docs/pages/data/benchmark_results_all.csv @@ -2116,3 +2116,1050 @@ id,solver_name,solver_version,problem_library,problem_name,problem_type,environm 2436,cvxpy_ecos,unknown,DIMACS,qssp60,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1754399488.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-05T13:55:06,120.0,TIMEOUT,,,,,,,"{""timeout_duration"": 120.0, ""problem_class"": ""SOCP""}" 2437,cvxpy_ecos,unknown,DIMACS,sched_100_100_scaled,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1754399488.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-05T13:55:08,1.6577939987182617,ERROR,,,,,,,"{""error_message"": ""Solver 'ECOS' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""SOCP""}" 2438,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,DIMACS,sched_200_100_scaled,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1754399488.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-05T13:55:15,5.086763620376587,OPTIMAL (INACCURATE),93.815155585729,93.8151556507703,-6.504129146378546e-08,3.347342476175021e-07,3.756812771549544,60,"{""solver_solve_time"": 2.264175291, ""problem_class"": ""SOCP""}" +2439,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f189660e32ef420b9209c9da0badb26e2901dbb6""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1754399488.0}",f189660e32ef420b9209c9da0badb26e2901dbb6,2025-08-15T15:50:26,0.852217875,STALLED,5.992654461591593,5.981017465497352,0.01163699609424107,2.6102968408925996e-08,0.0,27,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""stalled"", ""solve_time"": 0.852217875, ""setup_time"": [], ""iterations"": 27, ""primal_objective_value"": 5.992654461591593, ""dual_objective_value"": 5.981017465497352, ""duality_gap"": 0.01163699609424107, ""primal_infeasibility"": 2.6102968408925996e-08, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": """", ""error_message"": """", ""timestamp"": ""2025-08-16 00:50:24"", ""matlab_version"": ""24.1.0.2537033 (R2024a)""}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""problem_class"": ""SDP""}" +2440,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""267b73ccd2a20bd31009f5931a3b048a8caf8b59""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1754399488.0}",267b73ccd2a20bd31009f5931a3b048a8caf8b59,2025-08-15T16:04:24,0.781502875,OPTIMAL_INACCURATE,5.981957450464189,5.982166011101507,0.00020856063731766739,7.963841922701557e-09,0.0,34,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal_inaccurate"", ""solve_time"": 0.781502875, ""setup_time"": [], ""iterations"": 34, ""primal_objective_value"": 5.981957450464189, ""dual_objective_value"": 5.982166011101507, ""duality_gap"": 0.00020856063731766739, ""primal_infeasibility"": 7.963841922701557e-09, ""dual_infeasibility"": 0, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": """", ""error_message"": """", ""timestamp"": ""2025-08-16 01:04:21"", ""matlab_version"": ""24.1.0.2537033 (R2024a)""}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""problem_class"": ""SDP""}" +2441,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""48ce3d614c32cc7a47885e2ffd2fce2464568b09""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1754399488.0}",48ce3d614c32cc7a47885e2ffd2fce2464568b09,2025-08-15T16:07:50,0.6211951666666666,OPTIMAL (INACCURATE),5.981957450464189,5.982166011101507,0.00020856063731766739,7.963841922701557e-09,0.0,34,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal (inaccurate)"", ""solve_time"": 0.6211951666666666, ""setup_time"": [], ""iterations"": 34, ""primal_objective_value"": 5.981957450464189, ""dual_objective_value"": 5.982166011101507, ""duality_gap"": 0.00020856063731766739, ""primal_infeasibility"": 7.963841922701557e-09, ""dual_infeasibility"": 0, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": """", ""error_message"": """", ""timestamp"": ""2025-08-16 01:07:47"", ""matlab_version"": ""24.1.0.2537033 (R2024a)""}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""problem_class"": ""SDP""}" +2442,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""48ce3d614c32cc7a47885e2ffd2fce2464568b09""}, ""timezone"": {""timezone_name"": ""UTC"", 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-5.57275335 -3.31815952\n -2.82286903 -5.41239093 -0.8945001 -0.25656674 -0.33443587 0.1544742\n -0.00953334 -0.20362435 -0.21557887 -0.24281135 -0.10528302 -0.50346247\n -0.51980851 -0.22752398 -0.24844478 -0.26351823 -0.12657644 -0.55011917\n -0.56219497 -0.19093996 -0.20693303 -0.21616274 -0.12550363 -0.55421542\n -0.55019929 -0.21170739 -0.2070957 -0.26340323 -2.100443 -0.76161578\n -1.2163564 -1.57700336 -2.73414044 -1.10442304 -1.56016021 -4.10728091\n -0.50940103 -0.53513111]"", ""y"": ""[]"", ""z"": ""[1.05388000e-12 1.20782588e-12 9.95616182e-13 1.00968793e-12\n 1.04795273e-12 9.46587732e-13 9.15095594e-13 9.73134113e-13\n 8.82277786e-13 1.21396374e-12 7.71387365e-13 1.12809849e-12\n 6.14630725e-13 1.41759708e-12 3.79842988e-13 3.84731467e-13\n 2.84404028e-13 3.25398798e-13 9.39553419e-13 9.71201243e-13\n 1.05996437e-12 1.07348489e-12 6.34152912e-13 9.88474857e-13\n 1.14333279e-12 9.37449371e-13 7.88067225e-12 2.99911597e-13\n 3.15190434e-13 2.48566625e-13 3.44592260e-13 3.06477521e-13\n 3.44848661e-13 6.49961678e-13 1.64732961e-13 1.70954458e-12\n 7.14357958e-13 3.37287531e-13 3.63645486e-13 2.64219993e-13\n 5.06079282e-13 4.03394118e-13 1.43902124e-13 1.70917690e-12\n 6.64665206e-13 3.32707818e-13 3.54256998e-13 2.39110375e-13\n 5.03965183e-13 3.85598519e-13 1.41272578e-13 1.58339535e-12\n 6.20670154e-13 9.36835971e-13 1.45512675e-12 1.49539700e-11\n 1.54833083e-11 2.42909869e-13 9.94000960e-13 8.71032287e-13\n 7.85400068e-13 8.29378172e-13 6.85383856e-13 3.21650714e-13\n 3.11262716e-13 2.82905463e-13 3.33433128e-13 3.87036971e-13\n 6.27097280e-13 1.80082794e-13 4.32185631e-13 2.03972228e-13\n 2.05383213e-13 2.48408827e-13 2.84181395e-13 2.53645196e-13\n 1.30001590e-12 1.28643685e-12 1.54401305e-11 6.25029847e-12\n 6.89402655e-13 2.78714410e-12 1.37725440e-11 2.30976051e-12\n 2.31333399e-12 1.99720337e-12 3.95604337e-12 9.92576812e-13\n 9.96097835e-13 2.15625855e-12 2.10691289e-12 1.83480668e-12\n 3.73952443e-12 9.29508018e-13 9.60628663e-13 2.30842986e-12\n 2.28497758e-12 1.79344648e-12 3.71257434e-12 9.26889493e-13\n 9.56860123e-13 1.83126406e-12 2.35332481e-12 2.69063835e-12\n 6.54730202e-13 8.45115122e-13 7.98433507e-13 6.46478494e-13\n 7.90860474e-13 5.27240416e-13 5.89991632e-13 5.25742044e-13\n 9.01987712e-13 8.52758329e-13]"", ""s"": ""[3.88116193e-01 3.36450641e-01 4.43860395e-01 4.72286326e-01\n 5.20042794e-01 5.59338094e-01 5.76006494e-01 3.74200084e-01\n 6.02671258e-01 4.53190791e-01 5.30479087e-01 3.80998620e-01\n 6.05954662e-01 3.19657910e-01 1.52557952e+00 1.47560878e+00\n 1.73069481e+00 1.74849280e+00 5.30277599e-01 4.80306854e-01\n 4.76928946e-01 4.47481433e-01 6.25971367e-01 4.17669859e-01\n 4.26454990e-01 5.73535461e-01 1.06918652e-01 1.89951857e+00\n 1.96366413e+00 2.16913034e+00 1.57130094e+00 1.78363275e+00\n 8.68344599e-01 4.73580890e-01 2.79736793e+00 1.99254036e-01\n 5.44567928e-01 1.48404114e+00 1.45967975e+00 1.45753361e+00\n 8.77233815e-01 1.09994656e+00 3.40692894e+00 2.05268785e-01\n 7.02021623e-01 1.33460311e+00 1.37608094e+00 1.39877660e+00\n 7.93050665e-01 1.02006649e+00 3.31700437e+00 1.85007981e-01\n 6.83397924e-01 5.64449714e-01 3.30115269e-01 6.67945792e-02\n 7.28690316e-02 2.21926343e+00 7.07924149e-01 8.36372632e-01\n 6.69852032e-01 6.40404519e-01 1.06335846e+00 1.58585525e+00\n 1.38541726e+00 1.61234138e+00 1.41884862e+00 1.37466119e+00\n 7.09767658e-01 1.43450868e+00 7.85808439e-01 1.60767010e+00\n 1.44623840e+00 1.87744590e+00 2.30590750e+00 1.97830381e+00\n 2.58332198e-01 2.56566736e-01 5.68770632e-02 6.55641311e-02\n 3.34435869e-01 1.67674202e-01 4.66661137e-04 2.03624352e-01\n 2.15578869e-01 2.42811355e-01 1.05283017e-01 5.03462469e-01\n 5.19808512e-01 2.27523982e-01 2.48444782e-01 2.63518232e-01\n 1.26576438e-01 5.50119171e-01 5.62194972e-01 1.90939958e-01\n 2.06933030e-01 2.16162742e-01 1.25503629e-01 5.54215424e-01\n 5.50199287e-01 2.11707393e-01 2.07095701e-01 2.63403233e-01\n 2.10044300e+00 7.61615775e-01 1.21635640e+00 1.57700336e+00\n 2.73414044e+00 1.10442304e+00 1.56016021e+00 4.10728091e+00\n 5.09401034e-01 5.35131111e-01]"", ""info"": {""exitFlag"": 0, ""pcost"": 0.0, ""dcost"": 1.9962968043817345e-12, ""pres"": 1.4636013786161255e-13, ""dres"": 2.0865133111242014e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": NaN, ""gap"": 2.8133428490907787e-10, ""relgap"": 140.9280845872059, ""r0"": 1e-08, ""iter"": 8, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.000357041, ""tsetup"": 7.8583e-05, ""tsolve"": 0.000278458}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2479,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,blend,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": 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-4.29145031, -6.26238273, -1.76382604, -6.0932875 ,\n -6.69186183, -2.85005266, -5.28409493, -0.56942804, -0.46024454,\n -0.30291111, 0.0291327 , 0.03578882, -0.09623802, -0.06269977,\n -0.20648154, -0.06792471, -0.01494548, -0.05998027, -0.0293623 ,\n -0.02702263, -0.13051092, -0.0872734 , -0.08426388, -0.03409337,\n -0.01492544, -0.00840803, -0.09328639, -0.08999522, -0.07933227,\n -0.03916924, -0.20347548, -0.06543357, -0.09264159, -2.79232286,\n -0.7290294 , -1.90020363, -2.06247224, -0.70930704, -0.41112533,\n -0.77217673, -2.93296065, -1.34144632, -0.93116958]), y=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.30104261e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 2.51933188e-35, -1.38777878e-18, 2.31111593e-33,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.60208521e-19, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -2.72922646e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.15842239e-19, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n -2.24062101e-18, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n -1.18794859e-18, 0.00000000e+00, 0.00000000e+00, 5.20417043e-19,\n 1.30104261e-17, 5.56349221e-19, 0.00000000e+00, 3.32709764e-17,\n 0.00000000e+00, 0.00000000e+00, -1.38777878e-17, -2.44104476e-19,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n -5.67739800e-19, 0.00000000e+00, 2.56355985e-18, 2.11223731e-18,\n 4.23446255e-19, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.64687215e-17, -3.64997198e-18,\n 0.00000000e+00, 0.00000000e+00, -2.64531870e-18, 0.00000000e+00,\n 3.30036073e-18, -1.82641959e-18, 0.00000000e+00, -4.33680869e-20,\n 0.00000000e+00, -5.89918938e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.30104261e-19, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -2.58961379e-18, -5.17922758e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 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""dcost"": -5501.8458891739, ""pres"": 8.641722979755528e-13, ""dres"": 1.428244833083577e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.5679973734044028, ""gap"": 3.96508931625109e-05, ""relgap"": 7.206834571871926e-09, ""r0"": 1e-08, ""iter"": 23, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.06362683300000001, ""tsetup"": 0.002057708, ""tsolve"": 0.061569125}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2497,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:03,0.9446730613708496,OPTIMAL (INACCURATE),5502.393992402469,5502.135581378342,0.2584110241268718,2.7720806627361654e-05,6.353775132912784e-08,10000,"{""solver_solve_time"": 0.9259839160000001, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 5502.135581378342, ""solver_stats"": {""solve_time"": 0.9259839160000001, ""num_iters"": 10000, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([ 0.00000000e+00, 2.82779569e+00, 2.89841334e+00, 2.76012082e+00,\n 9.53339324e+00, 8.81335158e+00, 8.33406369e+00, 7.34357326e+00,\n 7.08994052e+00, 6.21673653e+00, 6.21672955e+00, 6.17346636e+00,\n 6.03217717e+00, 5.80567162e+00, 6.03348607e+00, 4.05890981e+00,\n 4.05895958e+00, 2.92028324e+00, 2.92028324e+00, 2.23492407e+00,\n 2.18212605e+00, 2.10035429e+00, 2.04246313e+00, -1.99990612e-01,\n 1.00500344e-01, 7.59963779e-02, 1.01000150e-01, 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-1.96315976e+01, -1.55722839e+01, -6.76835991e+00,\n -5.97614495e+00, -5.15259102e+00, -4.83411321e+00, -3.48859371e+00,\n -9.23461907e-01, -7.76273972e-01, -2.63215045e+00, -2.27498059e+00,\n -1.00000000e-03, 1.08038764e-07, 1.43253565e-05, 2.55661284e-05,\n -6.94295691e-07, -2.33792221e-07, -4.13479358e-01, -4.50570990e-07,\n -4.10090643e-06, 2.49053603e-09, 2.75663754e-06, -3.12313531e-02,\n -7.21540631e-02, -2.10582208e-03, -1.90472242e-02, -1.05739558e-08,\n -1.89711945e-02, -3.32927334e-02, -8.63095177e-08, -1.62754102e-02,\n -5.49201150e-08, 2.43463910e-06, -1.75433501e-07, 1.34279904e-06,\n 7.97289392e-08, -1.46921805e-06, -6.58836600e-03, -1.53810388e-03,\n -2.02513114e-07, -7.67222886e-04, -2.08244118e-03, -1.47292326e-02,\n -3.39771550e-02, 7.76494828e-08, 5.68622313e-08, -4.08273310e-08,\n 4.18068321e-08, -8.36402364e-04, -5.28924530e-03, -4.33266233e-03,\n -2.32747606e-02, 1.68088930e-08, 3.74982230e-07, 3.50623579e-07,\n -2.32748569e-02, -8.35869938e-08, 1.98155425e-07, 1.71043493e-07,\n 1.02788925e-05, -7.24631485e-01, -2.83965194e-01, -5.51567769e-07,\n 7.98030278e-05, -7.37404790e-01, -2.56052312e-01, -4.46452369e-01,\n -5.06968262e-01, 1.47339923e-06, -2.55719216e-02, 3.78868341e-07,\n 4.03255585e-07, -2.48252320e-02, 2.70352714e-08, 4.81775596e-06,\n 6.41740875e-09, -3.56060666e-04, 2.60255738e-06, -9.52067251e-03,\n 2.32184424e-06, 1.35059978e-05, 1.62891421e-07, -7.52548116e-07,\n -2.11401452e-06, -9.15420193e-03, -2.70935705e-04, 2.93694131e-06,\n 1.52476686e-06, 1.96466984e-06, -9.07600203e-02, -6.75298469e-08,\n -1.93297388e-03, -1.09370823e-01, -7.29124511e-04, -1.58782786e-02,\n -6.99940803e-02, 3.85583404e-06, -3.17610915e-03, -2.08755165e-05,\n -4.95154236e-06, -9.27552315e-02, -2.08583601e-09, -7.12317468e-03,\n -6.37427528e-03, -9.02376217e-01, -4.78687731e-07, -1.57846084e-05,\n -3.32036969e-01, -1.11945302e-01, -1.29250543e-06, -3.68960220e-03,\n -3.19222894e-06, -1.33312737e-06, -7.77119011e-08, -1.18095596e-05,\n 3.27827438e-05, -3.27827438e-05, -9.43410098e-07, -4.10271181e-07,\n 5.13302841e-11, -1.42703405e-07, -3.20686365e-02, -3.16782107e-02,\n -2.61144412e-07, -3.56459464e-02, -1.67930847e-02, -2.70111533e-02,\n 7.50960282e-07, -2.35031971e-06, 3.32245240e-06, -4.85265082e-03,\n 3.37003305e-06, 8.63577598e-06, -4.48767507e-07, 9.73320991e-07,\n 8.93709150e-07, -1.26279883e-03, -3.49867826e-06, 7.07326548e-07,\n -5.76099530e-07, -4.73538990e-03, -4.63272871e-07, 8.44054966e-07,\n -1.21780072e-05, -5.18854145e-01, -7.82530511e-08, 5.34759142e-06,\n 3.98493800e-07, -1.32773002e-01, 1.27573903e-05, 5.29070543e-10,\n -5.67870349e-07, -2.46417334e-01, -2.46413295e-01, -3.86013451e+00,\n 1.53354031e-08, -6.21816663e-03, -2.18561451e-02, -1.69373273e-07,\n 3.83122198e-05, -3.24235493e-03, -2.15484635e-02, -1.10553517e-09,\n -2.15874090e-01, -1.39873086e-02, -2.18162200e-02, -5.16469113e-06,\n -2.54897787e-07, -1.00132807e-02, -1.32154854e-06, 1.39528233e-06,\n 4.45333903e-07, 2.56841434e-07, -4.39124853e-03, -2.31879500e-02,\n -4.06891262e-07, 6.09764760e-06, -3.39519263e-06, -1.34423280e-02,\n -8.34454204e-03, -8.85648101e-02, -2.74752802e-02, 9.83441135e-07,\n 2.76961402e-07, -3.19235077e-02, -1.00041638e-03, -5.55145017e-03,\n -1.52557667e-01, -1.01987663e-05, -4.41790151e-07, 4.10325038e-05,\n -2.14741918e-06, 7.75001017e-06, -1.76785234e-05, 7.26959591e-06,\n 1.06415844e-05, 9.42835328e-06, -1.14941431e-01, 2.05594561e-07,\n 1.15121107e-06, -3.28154832e-02, -1.77543845e-06, -1.36736586e-03,\n -6.07634686e-03, -8.26598407e-07, -2.15120203e-08, -1.22960828e+01,\n -1.46722327e-07, -3.55930809e+00, -7.20148942e-01, -4.61863985e-01,\n -6.87075414e-01, 1.22595775e-07, 1.09805314e-07, -3.82633254e-01,\n -8.77974737e-01, -5.02287499e-01, -4.49634939e-08, -4.08793993e-04,\n -1.52714165e-02, -3.55097165e-02, -2.87050975e-07, -1.30088004e-02,\n -5.39524334e-06, 1.50574105e-06, -9.24043202e-03, -3.86449457e-06,\n -2.61834550e-03, 4.77559449e-06, -1.17548489e-02, -7.76841371e-03,\n 1.66964575e-06, 2.18780053e-06, 8.70414974e-06, 4.14973785e-07,\n -4.95214367e-03, -8.46459144e-03, -2.16725781e-08, 2.08379946e-07,\n -9.65029449e-02, -7.95349675e-07, -6.58113086e-03, -1.18903613e-01,\n -1.65939386e-06, -9.41035086e-02, -5.45390337e-08, -6.69859096e-03,\n -3.64107164e-07, -8.41551075e-07, -8.81817248e-02, 7.94741085e-07,\n -6.54766658e-03, 7.04207190e-07, 2.97841497e-06, 1.82950632e-06,\n 6.14218677e-12, -3.03254561e-05, -9.89142880e-07, -2.43776678e-06,\n -2.83943699e-06, -2.64255790e-08, 3.12761557e-08, -2.79093427e-02,\n -1.15224778e-02, -3.29402754e-02, -2.79140963e-06, -3.41373680e-02,\n -5.16934009e-03, -7.40077885e-02, -2.44392079e-06, -1.05281021e-06,\n -6.94535172e-06, -2.18334227e-07, -4.11427168e-02, -1.89716129e-06,\n -3.56214447e-07, 7.55876800e-06, -8.73396585e-02, 1.68751431e-07,\n 2.95454241e-07, -1.04354503e-06, 8.81665213e-06, -8.73429064e-02,\n 1.15567492e-06, 1.98334816e-06, 2.92449173e-07, -1.31202739e-05,\n -4.07624895e-07, 5.19718253e-07, 5.36688789e-08, 3.43345835e-07,\n -5.80844652e-02, -4.88029973e-02, -1.28641881e-02, -1.97512808e-02,\n -1.89118472e-02, -2.63257074e-02, 6.98523457e-05, 3.90216891e-06,\n -3.96339371e-06, 1.32213261e-05, -2.27402741e-01, -9.07672310e-01,\n -7.41764542e-01, -3.15369058e-01, 1.73866444e-07, -1.80107895e-07,\n -2.95088537e+00, -2.36322654e+00, -3.39389663e+00, -3.23385529e+00,\n -2.96036115e+00, -3.10586498e+00, -3.07924484e+00, -3.15016324e+00,\n -2.67574565e+00]), y=array([3.10545651e+02, 2.57462060e+02, 2.01170325e-16, ...,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00], shape=(1876,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1876,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved inaccurate', status_val=2, status_polish=0, obj_val=-5502.135581378337, prim_res=0.0011013170577312843, dual_res=0.04548035790967973, iter=10000, rho_updates=1, rho_estimate=0.0230593853671933, setup_time=0.003516041, solve_time=0.922467875, update_time=0.0, polish_time=0.0, run_time=0.9259839160000001))""}}, ""problem_class"": ""LP""}" +2498,cvxpy_cvxopt,unknown,NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:04,0.07880210876464844,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2499,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:05,0.16762495040893555,OPTIMAL,5501.847406006198,5501.847406006194,3.637978807091713e-12,1.9534899517464263e-13,1.752228082047126e-11,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 5501.847406006194, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2500,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:06,0.36043500900268555,OPTIMAL,2133.723915141644,5501.845888286744,-3368.1219731451006,1.8569581565931383,5.3039516528731725e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 5501.845888286744, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2501,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:06,0.1085357666015625,OPTIMAL,5501.845888286744,5501.845888286744,0.0,2.254126126734576e-15,2.2144267165805387e-18,2122,"{""solver_solve_time"": 0.0996789988130331, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 5501.845888286744, ""solver_stats"": {""solve_time"": 0.0996789988130331, ""num_iters"": 2122, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2502,scipy_linprog,scipy-1.15.3,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:09,0.9095947742462158,OPTIMAL,510826.34287365514,,,0.0,,3050,"{""solver_solve_time"": 0.9095947742462158, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 510826.34287365514, ""scipy_nit"": 3050, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2503,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:12,0.8040890693664551,OPTIMAL,510826.3436900792,510826.3421952144,0.0014948647585697472,8.380670472415997e-12,4.7738654918668976e-18,40,"{""solver_solve_time"": 0.192140339, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 510826.3421952144, ""solver_stats"": {""solve_time"": 0.192140339, ""num_iters"": 40, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2504,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:52,38.08684587478638,OPTIMAL (INACCURATE),602050.1282749325,601594.1778213199,455.9504536126042,4.751558423260902e-06,7.621884440964235e-09,100000,"{""solver_solve_time"": 37.481792708, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 601594.1778213199, ""solver_stats"": {""solve_time"": 37.481792708, ""setup_time"": 0.010059708, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 1.29419469e-05 1.04236236e-05 5.42103843e-06 ... -8.22487305e+01\n -1.57337372e+02 -1.53116017e+02]"", ""y"": ""[531.12354931 286.79221925 545.81084266 ... 0. 0.\n 0. ]"", ""s"": ""[ 0. 0. 0. ... 82.24873048 157.3373719\n 153.11601673]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 3, ""scale"": 4.348246228728347, ""pobj"": -601594.17782132, ""dobj"": -602050.1282749326, ""res_pri"": 0.2328785678177111, ""res_dual"": 3.107957098581845, ""gap"": 455.9504536126753, ""res_infeas"": NaN, ""res_unbdd_a"": 0.005565878333673821, ""res_unbdd_p"": 0.0, ""comp_slack"": 5.629589517160467e-06, ""solve_time"": 37481.792708, ""setup_time"": 10.059708, ""lin_sys_time"": 29875.4630430007, ""cone_time"": 2525.964192999637, ""accel_time"": 811.66366200015, ""rejected_accel_steps"": 905, ""accepted_accel_steps"": 0, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2505,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:55,0.9250438213348389,OPTIMAL,510826.3429255348,510826.3428443195,8.121534483507276e-05,4.526636607557751e-13,1.1342809336920577e-17,40,"{""solver_solve_time"": 0.1571205, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 510826.3428443195, ""solver_stats"": {""solve_time"": 0.1571205, ""setup_time"": 0.004860458, ""num_iters"": 40, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-7.43302367e-11 -7.51863129e-11 -1.52035751e-10 ... -1.30239321e+01\n -1.14704826e+01 -1.10181519e+01]"", ""y"": ""[]"", ""z"": ""[5.31124504e+02 2.86801321e+02 5.44741602e+02 ... 7.07625294e-10\n 8.03539091e-10 8.36551977e-10]"", ""s"": ""[1.73402637e-11 3.21122613e-11 1.69068021e-11 ... 1.30239321e+01\n 1.14704826e+01 1.10181519e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": -510826.3428443703, ""dcost"": -510826.3429255323, ""pres"": 1.559500110287635e-14, ""dres"": 6.520622275330992e-14, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.7612835057020536, ""gap"": 0.002864881223464177, ""relgap"": 5.6083271029289875e-09, ""r0"": 1e-08, ""iter"": 40, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.161980958, ""tsetup"": 0.004860458, ""tsolve"": 0.1571205}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2506,cvxpy_osqp,unknown,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:00,3.144896984100342,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2507,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:09,6.556016206741333,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2508,cvxpy_sdpa,unknown,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:13,2.1382529735565186,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2509,cvxpy_scip,unknown,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:17,1.8055663108825684,ERROR,,,,,,,"{""error_message"": ""cannot reshape array of size 15525 into shape (15545,)"", ""problem_class"": ""LP""}" +2510,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:21,1.0827338695526123,OPTIMAL,510826.3428736541,510826.34287365404,5.820766091346741e-11,3.1206131819956855e-18,3.2655995324188632e-21,5583,"{""solver_solve_time"": 0.28956858441233635, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 510826.34287365404, ""solver_stats"": {""solve_time"": 0.28956858441233635, ""num_iters"": 5583, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2511,scipy_linprog,scipy-1.15.3,NETLIB,adlittle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:21,0.002105712890625,OPTIMAL,225494.9631623802,,,0.0,,92,"{""solver_solve_time"": 0.002105712890625, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 225494.9631623802, ""scipy_nit"": 92, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2512,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,adlittle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:22,0.0024290084838867188,OPTIMAL,225494.96464890876,225494.96536437396,-0.0007154651975724846,8.531755966651507e-10,1.3077904085767593e-13,11,"{""solver_solve_time"": 0.000530832, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 225494.96536437396, ""solver_stats"": {""solve_time"": 0.000530832, ""num_iters"": 11, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2513,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,adlittle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:22,0.01512598991394043,OPTIMAL,225493.20044296706,225494.82069509698,-1.620252129912842,1.1751327158079745e-06,2.7316491318852315e-10,4300,"{""solver_solve_time"": 0.013364458000000001, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 225494.82069509698, ""solver_stats"": {""solve_time"": 0.013364458000000001, ""setup_time"": 0.000123958, ""num_iters"": 4300, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 7.75341441e+02 -8.63862127e-06 -8.57117324e+02 -2.20481686e+02\n -4.46468563e+02 -4.46468906e+02 -4.46473218e+02 7.48258450e+02\n 7.64133721e+02 -5.09376738e+02 -5.09377682e+02 -5.09380530e+02\n 6.37456501e-04 -3.59005357e+02 -1.05640542e+02 -3.30999944e+03\n -5.91475085e+01 -7.63851477e+02 -3.30991590e+03 -7.65635123e+02\n -4.70251948e-01 8.96079246e-05 -6.83872369e-01 1.86995960e-02\n -6.23289124e+00 -1.59569108e-02 -7.65633017e+02 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failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2516,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,adlittle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:24,0.05131793022155762,OPTIMAL,225494.96476410507,225494.96523472475,-0.0004706196777988225,4.349077580028073e-09,5.936084040940794e-14,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 225494.96523472475, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2517,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,adlittle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:25,0.007980585098266602,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2518,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,adlittle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:25,0.00602412223815918,OPTIMAL,210179.8007999207,225494.9631623804,-15315.162362459698,0.10103857195375975,4.3140806698242205e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 225494.9631623804, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2519,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,adlittle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:26,0.003368854522705078,OPTIMAL,225494.96316238033,225494.9631623804,-5.820766091346741e-11,4.164263921072885e-17,6.470699855458698e-21,87,"{""solver_solve_time"": 0.0008263308554887772, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 225494.9631623804, ""solver_stats"": {""solve_time"": 0.0008263308554887772, ""num_iters"": 87, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2520,scipy_linprog,scipy-1.15.3,NETLIB,agg,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:26,0.008285284042358398,OPTIMAL,-35991767.286576495,,,0.0,,374,"{""solver_solve_time"": 0.008285284042358398, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -35991767.286576495, ""scipy_nit"": 374, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2521,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,agg,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:27,0.020787954330444336,OPTIMAL,-35991767.34881224,-35991767.35727866,0.00846642255783081,2.4319902938952643e-12,4.373903746640633e-14,38,"{""solver_solve_time"": 0.016798045, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -35991767.35727866, ""solver_stats"": {""solve_time"": 0.016798045, ""num_iters"": 38, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2522,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,agg,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:28,0.004291057586669922,UNBOUNDED,,,,,,0,"{""solver_solve_time"": 7.162499999999999e-05, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 7.162499999999999e-05, ""setup_time"": 0.0008546249999999999, ""num_iters"": 0, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 2.18830964e-08 3.73790134e-10 3.14418580e-09 1.67099381e-08\n 8.20943446e-09 1.96188096e-10 1.55408936e-08 3.07048906e-10\n 2.65874763e-09 1.39560522e-08 6.27343951e-09 1.52824132e-10\n 8.85866959e-11 9.84417142e-12 5.64234648e-11 1.17702998e-10\n 2.87623198e-11 1.15452634e-11 6.22234488e-11 7.27839845e-12\n 4.67156288e-11 1.00701800e-10 2.24201280e-11 8.29163734e-12\n 4.67816921e-11 5.06623362e-12 4.20386108e-11 1.14915019e-10\n 1.82044788e-11 5.93581781e-12 2.81507834e-11 2.96575383e-12\n 6.21713445e-11 1.97726426e-10 1.16795143e-11 2.86543048e-11\n 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1.02812858e+03 9.14312864e+02 1.02043268e+03\n 6.75883269e+02 3.50129437e+03 3.50406240e+03 1.24742618e-08\n 3.13922115e+03 1.87616200e+03 1.39701968e+03 1.84803091e+04\n 5.57706239e+02 6.39889999e+03 9.02638284e-08 1.94871001e+04\n 1.29351241e-06 1.13253871e+04 1.06301302e+03 3.87695866e+04\n 2.56058070e+04 1.29347826e-06 2.62421320e+03 1.48669330e+03\n 3.55354332e-07 5.16668316e+02 8.16316334e+01 8.54741639e-08\n 3.86538999e+02 5.57785323e+02 8.95319641e+02 7.82386125e+02\n 4.58977601e+00 6.21420875e+02 5.72727915e+02 4.54514123e+02\n 1.50519784e+03 1.74770800e+03 1.32731844e+03 4.11013691e+02\n 4.71004800e+02 3.87025453e+02 1.22394482e+03 1.20480744e+03\n 1.83180061e+03 8.57013062e+01 1.32607362e+03 2.83925284e+03\n 1.00439342e+03 3.20437221e+02 4.45248625e+00 7.05298141e+02\n 7.98092410e+02 1.05060606e+03 2.05567174e+02 8.75216588e+02\n 1.43727418e+03 1.27740074e+03 7.37289880e+02 6.64471698e+02\n 6.31199859e+02 6.53900766e+02 1.85760072e+03 5.21014101e+02\n 6.36702852e+02 1.75346316e+03 1.03728727e+03 9.65740975e+02\n 1.04538337e+03 7.05909699e+02 3.66442652e+03 3.51052593e+03\n 1.53743037e-08 2.75531137e+03 1.87692400e+03 1.35567179e+03\n 2.22183000e+04 5.15690300e+02 5.92489999e+03 6.41464660e+03\n 2.56404264e+04 1.02552139e-06 1.06465380e+04 1.48120000e+03\n 3.52630189e+04 2.37122769e+04 1.02549547e-06 2.42332797e+03\n 1.31726508e+03 1.48817426e+03 1.25294475e+02 2.35258775e+01\n 1.29530066e-07 2.82459881e+02 5.30761063e+02 8.54600650e+02\n 7.42985668e+02 1.89205047e-06 5.93383712e+02 5.45395542e+02\n 4.33849488e+02 1.43287324e+03 1.66779259e+03 1.26712063e+03\n 3.91199679e+02 4.47996252e+02 3.70177593e+02 1.16541973e+03\n 1.14954055e+03 2.08846731e+03 7.22389660e+01 1.20610254e+03\n 2.68168515e+03 1.14646000e+03 2.94993591e+02 3.24320508e+02\n 6.64142828e+02 1.03205955e+03 1.04833067e+03 3.33715913e+02\n 1.02732363e+03 1.34967229e+03 1.38105454e+03 6.76913748e+02\n 6.69013260e+02 6.68025126e+02 6.55867304e+02 1.68497858e+03\n 5.55905720e+02 7.11352495e+02 1.62361368e+03 9.46966097e+02\n 8.62433129e+02 9.48389721e+02 6.26732189e+02 3.91485796e+03\n 3.28253332e+03 1.16338980e+03 3.42552026e+03 1.81440000e+03\n 1.32610602e+03 5.62000000e+04 2.45714000e+05 1.20160000e+06\n 7.80000000e+04 1.80000000e+05 1.39119900e+06 4.50000000e+05\n 9.82000000e+04 3.77143000e+05 1.42824000e+05 1.60000000e+04\n 1.98479900e+06 3.42000000e+04 1.55200000e+05 2.58000000e+05\n 2.41499900e+06 7.06000000e+05 1.03467131e-05 4.91404546e+05\n 2.75066000e+05 2.04000000e+04 2.23564675e+06 5.42000000e+04\n 1.14510000e+05 1.85977294e+05 3.56726200e+06 8.47928999e+05\n 1.34000000e+05 3.41780000e+05 2.85565000e+05 1.08965451e-06\n 2.35726363e+06 5.66975299e-05 1.48413000e+05 2.34018000e+05\n 2.94919100e+06 8.91592000e+05 2.66630769e+05 3.42776130e+05\n 4.69639000e+05 5.40000000e+03 2.51605219e+06 3.01940513e-06\n 2.20013000e+05 2.81616057e+05 4.22843885e+06 8.41068000e+05\n 8.47800628e-08 4.16876240e-08 1.57523106e-07 1.03214854e-07\n 1.30282416e-07 9.27658170e-08 1.25310382e-07 6.70354073e-08\n 2.15811843e-07 6.40220919e-08 1.45349013e-07 4.48567097e-07\n 1.11467462e-07 6.47372050e-07 4.02918758e-07 1.29882761e-06\n 5.37675009e-07 1.43109000e+05 2.34537213e+01 2.04421437e-06\n 8.82691672e-07 4.42478123e+01 2.26820094e-06 3.40564864e-05\n 3.77056504e+01 3.31892691e-05 1.06019305e-03 1.03113000e+05\n 9.68066884e-07 5.22236423e-06 1.37010000e+04 8.93668618e+01\n 4.41039999e+04 3.99084549e-06 3.34897471e-06 3.67474665e-06\n 3.33850585e-06 6.44862307e+04 1.46869636e+02 2.11265051e-06\n 1.37010000e+04 1.31810411e+02 5.01040000e+04 2.03578320e-04\n 4.04943036e+02 6.35501493e+04 5.85882517e-05]"", ""s"": ""[6.47414931e+02 3.17603211e+02 6.91704170e+00 2.56504550e+01\n 5.93112001e-08 6.58611330e+02 6.56340517e+02 3.68288857e-10\n 2.45666472e+01 2.12346698e-01 1.17438200e+03 4.28562488e+02\n 8.84758292e-06 5.88037283e-10 5.80381186e-07 1.16003825e+03\n 2.18533901e+02 1.80622076e-05 1.60097823e-08 3.70888879e+01\n 6.87819154e+02 2.60332287e+01 4.88489295e-10 3.02434115e-09\n 6.05527865e+02 6.26960403e-09 7.07580674e-09 2.07562795e-08\n 5.98696865e+02 8.17337862e+01 3.36678692e-09 3.01769054e+01\n 4.32851261e+02 2.25200690e+02 3.61695895e-10 3.48511844e-10\n 3.76216294e-10 4.32851261e+02 2.25200690e+02 4.32937891e-10\n 4.17144829e-10 4.50313575e-10 5.72364789e+02 5.97094833e+01\n 2.71284688e-09 1.45550768e-08 5.72364789e+02 5.97094833e+01\n 2.33193799e-09 1.39512342e-08 5.16201555e+02 1.62954315e+02\n 1.99999126e-02 1.99999086e-02 8.55866185e-01 5.16181555e+02\n 1.62934315e+02 8.58697360e-10 3.41615262e-09 8.35866185e-01\n 4.70739380e+02 2.30882527e+02 1.32111022e-09 5.85015603e-09\n 5.85155085e-09 4.70739380e+02 2.30882527e+02 1.00188987e-09\n 5.59674916e-09 5.40465215e-09 4.90949122e+02 2.22241258e+02\n 1.25923041e-09 1.13407773e-10 2.59495354e+00 4.90969122e+02\n 2.22261258e+02 9.99980304e-03 9.98174928e-03 2.61495354e+00\n 4.60281489e+02 6.75937088e+01 4.49491533e+00 8.95475015e-11\n 1.52816191e-09 4.94190830e+02 2.78410590e+02 7.26601190e-10\n 3.95197554e-10 2.75402974e-10 4.63813044e+02 1.43831303e+02\n 1.99999251e-02 1.42903327e+00 5.11720803e-01 1.10374270e-07\n 4.67090119e-08 4.49855630e-08 4.85714849e-08 8.71587565e-07\n 6.92020528e-08 3.39584113e-07 3.66751355e-07 2.55758545e+02\n 9.37574749e+01 5.72595534e+01 8.56931275e-08 3.93825454e-08\n 2.71054671e-08 3.84857898e-08 4.01874224e-07 2.55758545e+02\n 2.51559086e-08 3.19200565e-08 5.44613925e-08 2.72448107e-07\n 3.55075778e-08 7.46444425e-09 4.01874224e-07 2.92540188e-07\n 1.17684892e-07 1.03462109e-07 8.84378638e-08 3.66110020e-07\n 6.36737863e-08 2.17337343e+02 8.07282844e-08 3.62545506e+02\n 8.95560713e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 1.00080000e+02 3.61937480e+02 9.43624038e+02 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.47256863e+02\n 1.63827435e+03 6.89001886e+01 1.12217681e+02 1.18958829e+02\n 1.00243302e+02 3.12868507e+02 1.26119941e+03 6.67197822e+01\n 1.13066470e+02 1.20290446e+02 1.00243302e+02 3.02391972e+02\n 1.07037688e+03 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 1.00080000e+02 3.63868331e+02 7.89283494e+02 1.00080000e+02\n 1.08439129e+02 1.78251982e+01 1.73975673e+02 3.56378560e-09\n 4.00914888e-08 1.33641232e-08 1.06913386e-08 2.91583497e-09\n 1.14550959e-08 7.28954263e-09 5.34568197e-08 2.09474614e-09\n 3.14211843e-09 1.37110280e-08 3.01641437e-08 5.02733329e-08\n 1.31974768e-08 1.58356904e-07 1.58356919e-07 1.58356919e-07\n 7.91799550e-08 8.61200998e-08 1.93641404e-07 1.55638679e-07\n 3.35733913e-08 1.17781544e-07 6.60088700e-08 2.83891982e-08\n 1.14062357e-07 6.98268891e-08 5.69435029e-08 4.83591581e-08\n 2.21313435e-08 5.90163981e-08 2.29098226e-08 3.22747981e-08\n 4.00925837e-09 4.51028740e-08 1.50346618e-08 1.20276969e-08\n 3.28030418e-09 1.28868278e-08 8.20075123e-09 6.01369471e-08\n 2.35658927e-09 3.53488292e-09 1.54249007e-08 3.39346323e-08\n 5.65574150e-08 1.48469843e-08 1.78150717e-07 1.78150590e-07\n 1.78150561e-07 8.90772411e-08 1.33383397e-07 1.00286134e-07\n 1.00049418e-07 2.22690457e-07 1.49608423e-07 1.48460193e-07\n 1.87632041e-07 5.75597176e-08 4.04907464e-08 6.38116064e-08\n 1.97944772e-07 1.78150950e-07 1.53299466e-07 7.02816149e-08\n 7.74643207e-08 4.21323798e-08 7.70809629e-07 7.11290436e-08\n 3.32074524e-08 7.88738625e-08 2.88235718e-07 2.96895768e-07\n 1.35234616e-07 8.50078658e-08 8.51434134e-08 2.46240505e-07\n 9.03733893e-08 6.63717427e-08 6.52112610e-08 1.28563052e-07\n 1.35650431e-07 1.36777321e-07 1.33796206e-07 5.13348260e-08\n 1.57731078e-07 1.21624333e-07 5.45378366e-08 8.81169298e-08\n 9.58087486e-08 8.78652760e-08 1.28521813e-07 2.15948283e-08\n 2.54510249e-08 6.78687153e-08 2.57739643e-08 4.94878212e-08\n 3.71159752e-08 4.61420011e-09 5.73824123e-08 4.88618567e-08\n 1.14383396e-08 3.08331885e-09 1.93357661e-08 7.89104244e-09\n 5.58808226e-08 2.19182760e-09 3.35054229e-09 2.31438199e-08\n 3.40903392e-08 5.33211001e-08 1.37063817e-08 1.64453999e-07\n 1.24381762e-06 3.61109756e+03 8.22303597e-08 1.46535929e-07\n 1.01541902e-07 1.05285628e-07 1.01774192e+04 1.47061534e-07\n 1.52545823e-07 2.06235898e-07 5.77759800e-08 5.25108426e-08\n 6.76087071e-08 2.12754300e-07 1.81323040e-07 2.26050525e-07\n 7.18748498e-08 7.65093675e-08 4.23546174e-08 8.22073510e-07\n 6.76758598e-08 3.27715888e-08 8.23054741e-08 2.71333133e-07\n 4.23315029e-07 1.36209195e-07 8.66541513e-08 9.04505346e-08\n 2.71774599e-07 9.30955298e-08 6.47379392e-08 6.32270138e-08\n 1.21279784e-07 1.38771718e-07 1.42413463e-07 1.39648102e-07\n 4.81568627e-08 1.62439939e-07 1.22861308e-07 5.05226279e-08\n 8.55652596e-08 9.14119671e-08 8.46958325e-08 1.25009247e-07\n 2.07194519e-08 2.43501024e-08 7.65871314e-08 2.59991019e-08\n 4.71312868e-08 3.73589793e-08 4.66465281e-09 3.78761519e-07\n 2.40616354e-08 1.26494798e+03 5.10745415e-09 1.95512972e+02\n 8.93055955e-09 6.19089721e-08 2.24748710e-09 3.58197529e-09\n 1.95512972e+02 4.39013346e-08 5.68444954e-08 1.53019300e-08\n 1.64457712e-07 1.20391859e-06 3.23181224e+02 8.87612722e-08\n 1.61304462e-07 9.55431521e-08 1.12743832e-07 7.38614928e+03\n 1.42441842e-07 1.50502746e-07 1.87686740e-07 5.83992798e-08\n 4.97077847e-08 6.48065134e-08 2.09800552e-07 1.84164824e-07\n 2.49011561e-07 7.15583365e-08 8.49692644e-08 5.02203119e-08\n 9.72788810e-07 6.65781285e-08 3.53520653e-08 1.11448376e-07\n 2.74910798e-07 1.86639716e+05 1.55456914e-07 1.04760653e-07\n 1.13521781e-07 3.84832249e-07 1.23004934e-07 7.02291201e-08\n 6.96734957e-08 1.19238293e-07 1.67570312e-07 1.85323289e-07\n 1.65097749e-07 4.84169557e-08 2.08075772e-07 1.44147076e-07\n 5.05547822e-08 8.31749323e-08 9.35285352e-08 8.38022155e-08\n 1.26521510e-07 2.44237706e-08 2.44046859e-08 6.75626744e+03\n 2.72411747e-08 4.55797695e-08 6.12124886e-08 4.53389292e-09\n 1.53326266e-07 1.33680860e-08 9.43756330e+02 4.38774364e-09\n 6.67637151e+01 7.54956284e-09 7.77988898e-08 2.22925479e-09\n 3.34001106e-09 6.67637150e+01 3.26083010e-08 5.91582872e-08\n 2.40860386e+02 1.66034266e-07 1.04746663e-06 9.93555974e+02\n 2.21121707e-07 1.53306647e-07 9.55115129e-08 1.09297130e-07\n 1.82692300e-05 1.37609960e-07 1.49305679e-07 1.88135338e-07\n 5.68128536e-08 4.89276144e-08 6.44260907e-08 2.08045128e-07\n 1.81550447e-07 2.20948569e-07 6.98675665e-08 7.09786697e-08\n 4.66856645e-08 9.97649835e-07 6.44851084e-08 3.01189168e-08\n 8.51461948e-08 2.66857373e-07 1.93386665e-05 1.21246098e-07\n 1.07153467e-07 8.13968142e-08 4.15988395e-07 9.77124762e-08\n 5.94983958e-08 6.69458894e-08 1.15981000e-07 1.28696256e-07\n 1.35482400e-07 1.30774443e-07 4.60345843e-08 1.64136981e-07\n 1.34309805e-07 4.87692486e-08 8.24370819e-08 8.85464395e-08\n 8.17994677e-08 1.21135901e-07 2.33367531e-08 2.43597299e-08\n 5.55000024e+03 3.10392390e-08 4.55612691e-08 6.30785501e-08\n 3.84932412e-09 1.65819458e-07 1.44398795e-08 1.33316633e-08\n 3.33527720e-09 8.17982913e+01 8.03249283e-09 5.77335232e-08\n 2.42508206e-09 3.60645511e-09 8.17982913e+01 3.52927048e-08\n 6.49179334e-08 5.74933904e-08 6.97570939e-07 3.63301074e-06\n 6.64339338e+02 3.02489037e-07 1.61106687e-07 1.00062145e-07\n 1.15088797e-07 4.70042564e+01 1.44111741e-07 1.56785532e-07\n 1.97095973e-07 5.96793962e-08 5.12713980e-08 6.74865520e-08\n 2.18578016e-07 1.90870010e-07 2.30997362e-07 7.33749142e-08\n 7.43910422e-08 4.09487080e-08 1.18357962e-06 7.08977305e-08\n 3.18885752e-08 7.45958318e-08 2.89873454e-07 2.63725027e-07\n 1.28759261e-07 8.28636088e-08 8.15734214e-08 2.56248642e-07\n 8.32458787e-08 6.33601658e-08 6.19220473e-08 1.26324074e-07\n 1.27822295e-07 1.28013406e-07 1.30381597e-07 5.07493559e-08\n 1.53836713e-07 1.20215047e-07 5.26695498e-08 9.02985250e-08\n 9.91493133e-08 9.01633227e-08 1.36433229e-07 2.18441527e-08\n 2.60519432e-08 7.35276110e-08 2.49666138e-08 4.71312960e-08\n 6.44851428e-08 1.52163544e-09 3.48030419e-10 7.11684067e-11\n 1.09635803e-09 4.75088590e-10 6.14692487e-11 1.90035453e-10\n 8.70834320e-10 2.26746767e-10 5.98750483e-10 5.34473911e-09\n 4.30854508e-11 2.50046454e-09 5.51004990e-10 3.31457208e-10\n 3.54103511e-11 1.21127423e-10 8.25649955e+00 1.74023577e-10\n 3.10893149e-10 4.19196980e-09 3.82511574e-11 1.57779105e-09\n 7.46823508e-10 4.59973382e-10 2.39723688e-11 1.00845929e-10\n 6.38406362e-10 2.50207676e-10 2.99462650e-10 7.84800000e+01\n 3.62776017e-11 1.50999999e+00 5.76200776e-10 3.65424974e-10\n 2.89954041e-11 9.59138025e-11 3.20992348e-10 2.49482672e-10\n 1.82088777e-10 1.58366796e-08 3.39880764e-11 2.83200000e+01\n 3.88709909e-10 3.03713639e-10 2.02222198e-11 1.01675774e-10\n 1.03914862e+03 2.08007114e+03 4.76572076e+02 7.39290208e+02\n 5.79182919e+02 8.23909585e+02 6.03359532e+02 1.28049815e+03\n 4.16165169e+02 1.33744954e+03 5.18025225e+02 1.68608071e+02\n 6.78629499e+02 1.16577903e+02 1.87245328e+02 5.73409603e+01\n 1.39797266e+02 5.97561029e-10 3.70830842e-06 5.57725351e+01\n 8.52016572e+01 1.85125574e-06 3.32196261e+01 2.51383712e+00\n 1.86501242e-06 2.59382849e+00 8.00019107e-02 8.29229035e-10\n 8.77266898e+01 1.52055619e+01 6.24160923e-09 9.94723373e-07\n 1.93920847e-09 2.16199568e+01 2.54156388e+01 2.34490534e+01\n 2.54956389e+01 1.32318305e-09 5.79717746e-07 4.03736642e+01\n 6.24150633e-09 6.82427645e-07 1.70677646e-09 4.29086873e-01\n 2.01438884e-07 1.36758118e-09 1.45000024e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": 35991767.41927606, ""dcost"": 35991767.41670629, ""pres"": 4.007855683493595e-11, ""dres"": 6.69772729258451e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 1.347461897267021, ""dinfres"": NaN, ""gap"": 0.0466458226660825, ""relgap"": 1.296013672405288e-09, ""r0"": 1e-08, ""iter"": 41, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.009422416, ""tsetup"": 0.000405375, ""tsolve"": 0.009017041}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2524,cvxpy_osqp,unknown,NETLIB,agg,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:29,0.16093897819519043,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2525,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,agg,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:30,0.11629104614257812,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2526,cvxpy_sdpa,unknown,NETLIB,agg,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:30,0.040786027908325195,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2527,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,agg,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:31,0.017258882522583008,OPTIMAL,-35991767.28657652,-35991767.286576495,-2.2351741790771484e-08,0.7311903940243024,1.7361763453697193e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -35991767.286576495, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2528,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,agg,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:31,0.005454063415527344,OPTIMAL,-35991767.286576495,-35991767.28657652,2.2351741790771484e-08,6.096687712299953e-17,7.020852169401375e-19,81,"{""solver_solve_time"": 0.0014771651476621628, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -35991767.28657652, ""solver_stats"": {""solve_time"": 0.0014771651476621628, ""num_iters"": 81, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2529,scipy_linprog,scipy-1.15.3,NETLIB,agg2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:32,0.011315107345581055,OPTIMAL,-20239252.355977114,,,0.0,,545,"{""solver_solve_time"": 0.011315107345581055, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -20239252.355977114, ""scipy_nit"": 545, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2530,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,agg2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:33,0.024631977081298828,OPTIMAL,-20239252.35490356,-20239252.3597257,0.004822138696908951,3.5741727271195985e-12,1.0953789463068992e-15,19,"{""solver_solve_time"": 0.020582625, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -20239252.3597257, ""solver_stats"": {""solve_time"": 0.020582625, ""num_iters"": 19, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2531,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,agg2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:33,0.3360559940338135,OPTIMAL,-20130100.739042453,-20129971.157448627,-129.58159382641315,2.078320114534855e-06,2.100151322846947e-06,5575,"{""solver_solve_time"": 0.330643625, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -20129971.157448627, ""solver_stats"": {""solve_time"": 0.330643625, ""setup_time"": 0.001545208, ""num_iters"": 5575, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 2.62729072e+01 -1.00079806e+02 1.82745241e-04 2.66106469e-04\n -1.85310017e-04 -4.71644781e-04 5.07812955e+02 -1.00076570e+02\n -1.95974204e-07 1.05663667e-06 2.41264877e-06 1.05577028e-05\n -6.72165050e+00 6.98751074e-05 -3.74137582e-05 7.69265498e-07\n 9.46293860e-06 1.27593088e+01 1.22037624e+00 2.60456362e-04\n -9.03534326e-05 5.80309326e-06 7.96052261e-03 1.27846001e+01\n 5.16113536e+02 -1.00079816e+02 6.80859921e-06 1.00683571e-06\n -1.40055731e-05 3.58595029e+00 5.16176651e+02 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8.36143781e+02 4.83474404e+01\n 6.25942438e+02 5.85508338e+02 4.71031921e+02 1.55165632e+03\n 1.91821756e+03 1.40325956e+03 4.22258757e+02 4.86955450e+02\n 5.19637991e+02 1.25960522e+03 1.17451227e+03 2.03804054e+03\n 1.10585808e+02 1.32279241e+03 2.74301992e+03 1.05744491e+03\n 3.30112190e+02 1.54138421e+02 6.65548491e+02 9.71913146e+02\n 1.00150520e+03 3.01791141e+02 9.24523647e+02 1.38862964e+03\n 1.37008352e+03 7.35908301e+02 6.41290297e+02 6.19787872e+02\n 6.41463592e+02 1.85555886e+03 5.43649136e+02 7.04808387e+02\n 1.76311558e+03 1.05360433e+03 9.81775491e+02 1.06249968e+03\n 7.22433633e+02 4.02461827e+03 3.60110000e+03 6.94400000e+02\n 3.46776911e+03 1.89901401e+03 1.52560535e+03 2.18578536e+04\n 1.32837651e+03 5.59043357e+03 5.09630285e+03 2.39979967e+04\n 3.84964883e+03 1.06393311e+04 1.48121900e+03 3.69830000e+04\n 2.43390722e+04 2.75570617e+03 2.45714185e+03 1.49200000e+03\n 1.99992000e+03 1.66659999e+02 2.35202323e+01 2.34658694e-09\n 3.33320000e+02 5.65710662e+02 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2.12533709e-08 4.93302396e+02\n 4.00537403e-08 3.99043187e-08 3.26219197e-06 3.20818489e-06\n 5.08493652e-06 3.96724064e-08 3.96843263e-08 5.00273188e-06\n 4.99328768e-06 8.79851400e-06 7.35581385e-07 7.71889827e-07\n 7.18823987e-07 2.47047280e-07 2.06349208e+05 8.58008497e-08\n 4.76990097e-06 4.71960639e-06 3.44559469e-06 3.41643267e-06\n 4.20714118e-06 6.30745132e-06 6.29728946e-06 5.26679887e-06\n 5.26060858e-06 6.21959379e-06 3.98566122e-08 3.99476987e-08\n 5.31408848e-08 1.35564352e-08 5.92316980e-06 6.91372130e-07\n 2.58702388e-07 2.58995117e-07 2.28831720e-07 2.24225628e-07\n 4.40628481e-06 3.37170170e-07 3.36066943e-07 2.85044741e-07\n 2.83188088e-07 6.56564411e-06 2.89404287e+04 5.70940000e+02\n 1.43310724e-07 2.00000000e+03 3.19987994e-07 3.70508326e-08\n 1.33000000e+04 6.69998999e+03 1.04377487e-06 1.04354417e-06\n 2.36200651e-07 1.33300000e+05 6.66999300e+04 2.00000000e+05\n 1.00000000e+05 3.51733246e-07]"", ""s"": ""[7.50320837e-11 5.39999996e-02 5.09999996e-02 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2.15200316e-09\n 2.01732709e-09 8.34355743e-10 8.89907899e-10 5.13370527e-10\n 9.43121128e-09 7.89161131e-10 3.81329667e-10 9.89173358e-10\n 3.16048509e-09 6.73098449e-09 1.56865924e-09 1.07371318e-09\n 1.04187667e-09 3.43735764e-09 1.13068654e-09 7.53094809e-10\n 7.63519748e-10 1.41731038e-09 1.62685175e-09 1.68414364e-09\n 1.62337001e-09 5.64517551e-10 1.92266259e-09 1.47945163e-09\n 5.95226996e-10 9.88865747e-10 1.06406235e-09 9.81741716e-10\n 1.44212158e-09 2.61748431e-10 2.92342713e-10 1.50518864e-09\n 3.03649612e-10 5.52813927e-10 6.86888367e-10 4.85966463e-11\n 7.89498461e-10 1.89477084e-10 2.06929196e-10 4.41793670e-11\n 2.73795624e-10 9.94173001e-11 7.08140476e-10 2.86910372e-11\n 4.35377566e-11 3.82146347e-10 4.27566962e-10 7.02771604e-10\n 5.28683671e-10 6.20679548e-09 4.51148498e-08 4.60073095e+02\n 3.13880867e-09 1.84813070e-09 1.20804445e-09 1.38535491e-09\n 3.81618519e+03 1.74879955e-09 1.91627152e-09 2.32294921e-09\n 7.29584570e-10 5.78193151e-10 7.82883986e-10 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2.07999997e-01\n 2.07999992e-01 1.18086241e-01 1.42100000e+00 1.44299999e+00\n 1.45400000e+00 4.18300000e+00 5.27768301e-12 1.28039640e+01\n 2.16000000e-01 2.16000000e-01 2.97000000e-01 2.97000000e-01\n 2.49000000e-01 1.66000000e-01 1.66000000e-01 1.98000000e-01\n 1.98000000e-01 1.68000000e-01 2.66560000e+01 2.70790000e+01\n 1.99955574e+01 7.84820000e+01 1.76000000e-01 1.51000000e+00\n 4.05400000e+00 4.05400000e+00 4.58476383e+00 4.58476383e+00\n 2.37000000e-01 3.11200000e+00 3.11200000e+00 3.71300000e+00\n 3.71300000e+00 1.59000000e-01 3.61689394e-11 1.81523830e-09\n 7.28644257e+00 5.26586550e-10 3.30100000e+00 2.83230000e+01\n 8.02770787e-11 1.62567816e-10 9.88236165e-01 9.88236165e-01\n 4.43500000e+00 8.46271291e-12 1.63062587e-11 5.94948679e-12\n 1.08466939e-11 2.98500000e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": 20239252.35635463, ""dcost"": 20239252.355922025, ""pres"": 5.924604219294979e-13, ""dres"": 2.128990086117784e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 3.206706190791011, ""dinfres"": NaN, ""gap"": 0.007209687389192023, ""relgap"": 3.562230097438585e-10, ""r0"": 1e-08, ""iter"": 21, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.018534332, ""tsetup"": 0.000601666, ""tsolve"": 0.017932666}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2533,cvxpy_osqp,unknown,NETLIB,agg2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:35,0.3975710868835449,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2534,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,agg2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:36,0.3885319232940674,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2535,cvxpy_sdpa,unknown,NETLIB,agg2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:37,0.048336029052734375,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2536,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,agg2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:37,0.026875019073486328,OPTIMAL,-20239252.355977118,-20239252.355977125,7.450580596923828e-09,0.15937448841593893,5.783855239397532e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -20239252.355977125, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2537,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,agg2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:38,0.007158041000366211,OPTIMAL,-20239252.35597711,-20239252.355977125,1.4901161193847656e-08,3.594973103125786e-17,2.981215095370083e-20,203,"{""solver_solve_time"": 0.0027625393122434616, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -20239252.355977125, ""solver_stats"": {""solve_time"": 0.0027625393122434616, ""num_iters"": 203, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2538,scipy_linprog,scipy-1.15.3,NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:38,0.011799097061157227,OPTIMAL,10312115.93508921,,,0.0,,547,"{""solver_solve_time"": 0.011799097061157227, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 10312115.93508921, ""scipy_nit"": 547, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2539,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:39,0.024259090423583984,OPTIMAL,10312115.937639968,10312115.92741293,0.010227037593722343,7.788923145499102e-12,2.5053984488812398e-15,18,"{""solver_solve_time"": 0.019807001, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 10312115.92741293, ""solver_stats"": {""solve_time"": 0.019807001, ""num_iters"": 18, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2540,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:42,2.1319940090179443,OPTIMAL,10376975.578142196,10376900.846152082,74.73199011385441,2.367890834443812e-06,9.006304081025837e-07,36475,"{""solver_solve_time"": 2.126736625, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 10376900.846152082, ""solver_stats"": {""solve_time"": 2.126736625, ""setup_time"": 0.001584125, ""num_iters"": 36475, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 2.61806182e+01 -1.00068486e+02 6.78549757e-05 2.61957335e-04\n -1.76449411e-04 -5.29056573e-04 5.07872597e+02 -1.00079991e+02\n -3.97439255e-05 -1.47847680e-05 -1.11442741e-05 -2.51321533e-05\n -6.69782585e+00 -1.62773897e-04 -2.78317635e-05 -2.49263277e-05\n 3.54032761e-05 1.30054967e+01 1.48028949e-01 3.56395638e-05\n -3.22320833e-06 -3.04030920e-05 -6.11636583e-03 1.36050452e+01\n -2.00159993e+02 -8.89960782e+01 -1.00079761e+02 1.11191450e+01\n 8.94154527e-05 -4.27988033e-04 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4.44266736e-06 2.05874574e-04 1.32701566e-06 5.56697637e-04\n 2.73765441e-04 4.36350991e-06 1.98039895e-04 1.32033297e-06\n 2.71130971e-04 2.42459098e-04 4.32529373e-06 2.52929616e-07\n 2.75017065e-06 7.35326697e-05 7.54898757e-05 4.16005470e-06\n 6.76999298e+04 1.32898875e-06 2.06699940e+05 9.99999997e+04\n 4.40331119e-06 6.98522538e+04 1.92705404e-07 2.17218845e+05\n 1.60928901e+05 9.99999999e+04 2.43960265e-07 2.76685440e-07\n 1.49731280e-04 1.59313983e-04 1.60322631e-04 1.59738149e+03\n 9.26618763e+02 1.38754207e+03 8.44000000e+02 1.39677707e+02\n 1.30550533e+02 1.25860000e+02 1.16536800e+02 6.14165671e+02\n 3.18374220e+02 1.21787443e+01 6.61223296e-08 3.89768665e+03\n 1.50931371e+03 5.93327040e+02 1.22065020e+01 7.89679324e+02\n 7.30958095e+02 5.61794794e+02 5.25661881e+02 2.65704591e+03\n 2.10507772e+03 2.71902872e+03 3.39590265e+03 2.92036856e+03\n 7.89679324e+02 2.23280113e+02 2.21722716e+02 2.13517501e+02\n 5.98550296e-08 3.28057484e+02 6.06412462e+02 3.87488874e+02\n 2.76737514e+01 2.62962755e-10 3.03635336e+02 3.38982150e+02\n 3.41071137e+02 7.89679324e+02 2.94194307e+02 5.19875597e+02\n 2.66005616e+03 1.01335413e+03 7.89679324e+02 1.18744113e+02\n 1.22583309e+02 1.19460391e+02 8.01384237e-08 1.83175504e+02\n 4.60032383e+02 2.53194986e+02 1.42561750e+01 2.65865471e-10\n 1.43557261e+02 1.57369639e+02 1.57329522e+02 7.89679324e+02\n 1.47445339e+02 2.39451957e+02 1.16203519e+03 4.42478946e+02\n 7.89679324e+02 3.02364686e+02 6.84324502e+02 4.88375810e+02\n 3.68663444e+02 2.96024615e+01 1.12010639e+02 1.00462702e+02\n 2.58658330e-08 1.23747639e+03 1.63011280e-08 4.01410262e+04\n 3.73469003e-08 3.73773448e-08 3.73609248e-08 3.72494988e-08\n 6.29374777e-09 3.55416000e+02 3.71406131e-08 3.70937528e-08\n 3.70612707e-08 3.70471637e-08 3.86551154e-08 3.69904262e-08\n 3.70025643e-08 3.69999465e-08 4.20154286e-08 3.30380367e-08\n 3.71938018e-08 3.70333290e-08 3.70174032e-08 3.70074928e-08\n 4.25756917e-08 3.26645784e-08 9.82209872e+04 1.12185815e+04\n 3.72140581e-08 3.72221435e-08 3.84819786e-08 3.59170010e-08\n 7.99213499e+04 3.35038140e-08 3.71941825e-08 3.71870009e-08\n 3.86018245e-08 3.57657192e-08 4.91698830e+04 5.71693187e+03\n 3.72147578e-08 3.72239033e-08 3.84688365e-08 3.59417534e-08\n 3.99158072e+04 3.35221281e-08 3.71968551e-08 3.71904320e-08\n 3.86077645e-08 3.57714635e-08 7.42447708e+04 2.59392060e-08\n 3.75165785e-08 3.75370909e-08 3.75242837e-08 3.74022164e-08\n 1.66351200e+03 3.72272429e-08 3.70074689e-08 3.51323907e-08\n 1.50396530e-07 2.17530168e-08 2.08567908e+04 1.04617249e+03\n 6.25538009e+03 3.76720877e+03 2.41167722e+04 2.66552692e+03\n 1.16232107e+04 1.29795702e+03 4.06340019e+04 2.63901689e+04\n 5.86795198e+03 2.28501357e+03 1.67934580e+03 5.55440624e+03\n 1.84967616e+02 5.27123662e+02 5.29951616e+02 1.01981600e+03\n 9.73721819e+02 4.39907247e+02 5.18706867e+02 2.33064352e+03\n 5.54812467e+02 1.17174287e+03 2.02779812e+03 1.35978996e+03\n 2.75640885e+03 1.02438320e+03 1.29843266e+02 6.61778797e+02\n 9.70167271e+02 9.99368390e+02 3.08579199e+02 8.84688542e+02\n 1.38332003e+03 1.35506233e+03 7.51261125e+02 6.30667715e+02\n 6.01362945e+02 6.48194091e+02 1.87857113e+03 5.37209614e+02\n 7.07420248e+02 1.76834758e+03 1.10699359e+03 1.01046024e+03\n 1.10724255e+03 7.57571503e+02 4.44516800e+03 3.75647886e+03\n 6.78622629e+02 3.44183027e+03 2.08573308e+03 1.87322412e+04\n 9.89506405e+02 5.22163440e+03 2.11506584e+03 1.93558840e+04\n 2.05060604e+03 1.00900598e+04 1.21758109e+03 3.59080037e+04\n 2.32520461e+04 1.61503858e+03 2.39424146e+03 1.47567683e+03\n 5.56420966e+03 2.92391212e+02 6.76138235e+01 3.44878738e-06\n 9.59961000e+02 5.71912465e+02 8.23029571e+02 7.95424410e+02\n 1.12521933e+02 5.69168599e+02 5.46036067e+02 4.25526515e+02\n 1.44750048e+03 1.72756607e+03 1.23767234e+03 3.96979791e+02\n 4.58060158e+02 4.20594610e+02 1.17422172e+03 1.05130421e+03\n 1.76193240e+03 1.10776405e+02 1.20557813e+03 2.47887727e+03\n 9.08095921e+02 2.96590086e+02 8.42018563e+01 5.99166903e+02\n 8.24489472e+02 9.04710658e+02 2.51999608e+02 7.83116390e+02\n 1.24409477e+03 1.18515136e+03 6.66582052e+02 5.70524314e+02\n 5.42695479e+02 5.81467210e+02 1.66729792e+03 4.76134449e+02\n 6.14392211e+02 1.56789310e+03 9.74130145e+02 8.93296876e+02\n 9.75826577e+02 6.66899792e+02 3.81294418e+03 3.29013751e+03\n 7.92133038e+02 2.99134574e+03 1.72508700e+03 1.98664192e+03\n 2.05025731e+04 4.35311499e+02 5.16604100e+03 3.47573419e+03\n 2.24271074e+04 2.25907038e-07 1.08857834e+04 1.36646901e+03\n 3.87667807e+04 2.47138672e+04 2.26073752e-07 2.59552610e+03\n 1.57500653e+03 6.23974600e+03 5.19978998e+02 3.65526467e+02\n 3.36781166e+02 1.03995800e+03 5.65152014e+02 8.70650340e+02\n 7.75441613e+02 7.62286786e+01 5.96965186e+02 5.56594684e+02\n 4.56877292e+02 1.45970889e+03 1.84910693e+03 1.33840121e+03\n 4.02971659e+02 4.58490970e+02 4.72150481e+02 1.18925488e+03\n 1.08807733e+03 1.85551178e+03 1.04275112e+02 1.30506914e+03\n 2.58228571e+03 9.14298756e+02 3.15460215e+02 8.20975358e+01\n 6.09902282e+02 8.85527950e+02 8.95191353e+02 2.70647460e+02\n 8.06930728e+02 1.29632487e+03 1.27823709e+03 7.21973620e+02\n 5.82812140e+02 5.49148678e+02 5.92240548e+02 1.80401500e+03\n 4.78061736e+02 6.52305127e+02 1.69358017e+03 1.04347111e+03\n 9.54984521e+02 1.04451503e+03 7.09755214e+02 3.91291522e+03\n 3.51136687e+03 1.10954149e+03 3.37406753e+03 1.81115900e+03\n 8.91638976e+02 1.61722325e+04 1.37556102e+03 4.98067100e+03\n 4.45420549e+03 2.34296412e+04 3.90004817e+03 1.07579566e+04\n 9.72469040e+02 3.76952656e+04 2.56607735e+04 2.96616892e+03\n 2.47157452e+03 1.47564173e+03 6.23974599e+03 5.19978998e+02\n 3.87211398e+02 3.65323502e+02 1.03995800e+03 6.12061207e+02\n 9.16267408e+02 8.30664416e+02 1.72606189e+02 6.25785982e+02\n 5.93339984e+02 4.81518749e+02 1.54197161e+03 2.01109603e+03\n 1.39473119e+03 4.34103988e+02 4.87891261e+02 4.91579957e+02\n 1.26011464e+03 1.14121996e+03 1.84407036e+03 9.41248220e+01\n 1.30845605e+03 2.70264713e+03 9.59208849e+02 3.14517290e+02\n 6.70527974e+01 6.56252295e+02 8.50125364e+02 9.85464001e+02\n 2.49237655e+02 8.39531600e+02 1.35592585e+03 1.26891410e+03\n 7.23343714e+02 6.22046728e+02 5.89381802e+02 6.29300746e+02\n 1.80635505e+03 4.98753458e+02 6.46537126e+02 1.69656898e+03\n 1.04721484e+03 9.49480700e+02 1.04504102e+03 7.07102441e+02\n 4.05463003e+03 3.50071693e+03 7.90193499e-08 3.12171467e+03\n 1.89733701e+03 2.19928789e+03 2.02072517e+04 9.84547082e+02\n 5.70459635e+03 5.47677944e+03 2.57002848e+04 2.14248944e+03\n 1.13537153e+04 1.30721700e+03 3.96376588e+04 2.59303154e+04\n 1.34426724e+03 2.65992283e+03 1.58087981e+03 6.47973799e+03\n 5.39977998e+02 3.86802480e+02 3.61812969e+02 1.07995700e+03\n 6.08481339e+02 9.07837490e+02 8.28355035e+02 4.05282093e+01\n 6.25942438e+02 5.83224553e+02 4.71031921e+02 1.54435786e+03\n 1.91209784e+03 1.40207321e+03 4.20249331e+02 4.84105165e+02\n 5.16526049e+02 1.25411804e+03 1.17412323e+03 2.04221712e+03\n 1.06744393e+02 1.32027265e+03 2.74061403e+03 1.06057604e+03\n 3.29213575e+02 1.61637122e+02 6.65143604e+02 9.76080844e+02\n 1.00102470e+03 3.03588885e+02 9.29960010e+02 1.38820182e+03\n 1.37472718e+03 7.34862696e+02 6.41921959e+02 6.21458118e+02\n 6.40760355e+02 1.85399161e+03 5.43476432e+02 7.06119456e+02\n 1.76311558e+03 1.04948818e+03 9.78039031e+02 1.05850725e+03\n 7.18671227e+02 4.02461827e+03 3.56027764e+03 4.19001366e+02\n 3.46788552e+03 1.89901401e+03 1.52560535e+03 2.18609319e+04\n 1.32913474e+03 5.59328995e+03 5.09630285e+03 2.39912837e+04\n 3.85324040e+03 1.06342907e+04 1.48121900e+03 3.69830000e+04\n 2.43384270e+04 2.75211460e+03 2.45722670e+03 1.49200000e+03\n 1.99992000e+03 1.66659998e+02 2.35202323e+01 8.18111881e-09\n 3.33320000e+02 5.65710662e+02 8.66334650e+02 7.55587656e+02\n 1.20023459e-09 5.97567856e+02 5.45395542e+02 4.49617735e+02\n 1.43815019e+03 1.81989653e+03 1.33938150e+03 3.91199679e+02\n 4.47996251e+02 4.98132450e+02 1.17003088e+03 1.08279524e+03\n 1.88807816e+03 1.01788026e+02 1.19709808e+03 2.52904388e+03\n 9.80136645e+02 3.05515210e+02 1.44090568e+02 6.15068213e+02\n 9.00665191e+02 9.18347136e+02 2.63220757e+02 8.57318808e+02\n 1.28380814e+03 1.26947236e+03 6.73725425e+02 5.87092549e+02\n 5.64973429e+02 5.83147588e+02 1.67578635e+03 5.03551954e+02\n 6.37907494e+02 1.63251329e+03 9.60153394e+02 8.76413137e+02\n 9.62870765e+02 6.40823083e+02 3.84660409e+03 3.43440000e+03\n 6.40500000e+02 3.42401956e+03 1.81439900e+03 1.89520000e+03\n 2.84722446e-06 1.01752548e+02 5.13421137e-08 2.96321460e+05\n 3.12947906e-08 3.17303498e-08 2.16850325e-07 2.18254374e-07\n 2.09146673e-05 3.16720770e-08 3.16404268e-08 2.22452740e-07\n 2.22257269e-07 5.81477462e+04 2.40358274e-06 2.54140709e-06\n 8.22926563e-07 8.79063622e-08 7.38356102e-08 4.93302396e+02\n 1.37955938e-07 1.38481396e-07 3.70000000e+03 1.89999000e+03\n 3.00000000e+04 1.38113821e-07 1.37708189e-07 2.00000000e+05\n 1.00000000e+05 1.78147746e+05 2.54808132e-06 2.50757284e-06\n 2.49137649e-06 8.58711078e-07 2.06349208e+05 3.01308279e-07\n 1.64332098e-05 1.62591796e-05 1.16534866e-05 1.20641437e-05\n 4.52054233e-05 2.17921938e-05 2.17302773e-05 1.82012208e-05\n 1.80800793e-05 6.09289014e+04 1.40169838e-07 1.42047083e-07\n 1.84764533e-07 4.70743970e-08 2.04314844e-05 2.39342441e-06\n 9.01359296e-07 9.00546470e-07 7.80248942e-07 7.52314821e-07\n 1.79114157e-05 1.16808755e-06 1.16580403e-06 9.87659208e-07\n 9.82730043e-07 2.90443727e-05 2.90348859e+04 5.70939999e+02\n 5.02103632e-07 2.00000000e+03 1.11600625e-06 1.28712270e-07\n 1.29333335e+04 6.51110121e+03 3.76923467e-06 3.77025477e-06\n 8.22451868e-07 1.33300000e+05 6.66999300e+04 2.00000000e+05\n 1.00000000e+05 1.22617166e-06]"", ""s"": ""[2.63629320e-10 5.39999986e-02 5.09999985e-02 4.89999985e-02\n 4.59999986e-02 5.21437839e-10 1.80775157e-10 9.41527982e-11\n 9.27591963e-11 3.34936351e-10 2.17074961e+00 5.38823086e-02\n 4.29999987e-02 4.10000031e-02 3.58084595e+01 4.63650159e-11\n 9.02039746e-11 1.66541514e-10 6.64753249e-09 3.43652240e+00\n 1.70938515e-10 6.83520330e-11 5.54391933e-11 5.58266619e-11\n 6.64325950e+01 2.95885333e-10 9.11099621e-10 9.26481219e-10\n 8.74002798e-10 2.28703794e-09 2.05127667e-09 1.91132042e-09\n 2.91784739e+01 1.26608033e-10 1.26675060e-11 7.80831501e-11\n 1.94717812e-11 3.70540775e-11 1.49920782e-10 1.04315268e-11\n 7.76445755e-11 1.76053332e-11 3.66561783e-11 1.62314388e-09\n 1.01187105e-09 1.05052426e-09 1.22484922e-09 1.61078380e-09\n 1.00035928e-09 1.03839966e-09 1.19955055e-09 2.70543677e-10\n 1.90341196e-10 2.91546421e-10 2.83024856e-10 1.51655002e-08\n 1.79999943e-02 1.79999942e-02 1.69999936e-02 1.59999937e-02\n 1.50000098e-02 1.79999947e-02 1.79999943e-02 1.69999941e-02\n 1.59999941e-02 1.50000149e-02 5.42863923e-10 3.79743345e-10\n 5.85320347e-10 5.70533416e-10 1.88178032e-08 1.89999994e-02\n 2.66825599e+00 1.69999938e-02 1.59999946e-02 1.49999943e-02\n 5.16021512e-09 2.65025599e+00 5.48179127e-10 1.07761434e-09\n 1.17084971e-09 1.90000118e-02 2.66825599e+00 1.69999948e-02\n 1.59999960e-02 1.49999951e-02 1.61314586e-08 2.65025599e+00\n 1.11920639e-09 2.24499933e-09 2.29141819e-09 2.02766578e-10\n 1.90380262e+01 1.22244828e-10 2.36827800e-10 2.35735080e-10\n 2.12927332e-10 1.90380262e+01 1.31498556e-10 2.48107876e-10\n 2.52696831e-10 1.45045488e+01 1.33886592e+01 5.19999953e-02\n 4.89999956e-02 9.41000013e-01 5.73822506e-11 6.38446146e-11\n 4.02040212e-11 3.93639627e-11 8.95000013e-01 1.89999947e-02\n 1.79999942e-02 1.79999932e-02 1.69999932e-02 9.10000013e-01\n 1.89999945e-02 1.79999941e-02 1.79999929e-02 1.69999929e-02\n 9.10000017e-01 1.45045488e+01 1.33886592e+01 5.19999950e-02\n 4.89999952e-02 9.41000017e-01 1.13832784e-10 1.26652169e-10\n 8.00822351e-11 7.73635794e-11 8.95000017e-01 1.45034368e+01\n 1.32762799e+00 5.19999916e-02 4.89999955e-02 8.74182950e-01\n 2.84918373e-11 2.75525598e+00 1.04920087e-11 1.96288773e-11\n 8.28182950e-01 1.89999950e-02 2.77325598e+00 1.69999827e-02\n 1.59999923e-02 8.43182950e-01 1.89999946e-02 2.77325599e+00\n 1.69999917e-02 1.59999926e-02 8.43182947e-01 1.45034368e+01\n 1.32762799e+00 5.19999951e-02 4.89999952e-02 8.74182947e-01\n 5.66327795e-11 2.75525599e+00 2.00107619e-11 3.96345048e-11\n 8.28182947e-01 5.29988344e-11 1.91240262e+01 1.76749721e-11\n 2.31573288e-11 3.72549805e-11 1.50704457e+01 1.33010101e+01\n 2.59999980e-02 2.39999955e-02 2.29999964e-02 2.30744533e-09\n 3.97855592e-09 2.67388698e-09 4.35189230e-09 2.66184035e-08\n 2.77933131e-08 2.87737870e-08 3.10615862e-08 5.96610898e-09\n 1.09067833e-08 2.99376744e-07 5.63000107e+01 9.53761267e-10\n 2.50466063e-09 6.11209460e-09 2.95212599e-07 4.37659353e-09\n 4.93507820e-09 6.17700730e-09 6.35578708e-09 1.38098891e-09\n 1.76823721e-09 1.38386913e-09 1.10166975e-09 1.28676622e-09\n 4.37659353e-09 1.62997876e-08 1.62578514e-08 1.63857404e-08\n 6.01219873e+01 1.09786635e-08 6.01310786e-09 8.94294979e-09\n 1.27430577e-07 1.43114400e+04 1.21988972e-08 1.09718774e-08\n 1.09994969e-08 4.37659353e-09 1.24264716e-08 7.12154279e-09\n 1.42208911e-09 3.70421594e-09 4.37659353e-09 3.06333097e-08\n 2.95203953e-08 2.95399988e-08 6.01219868e+01 1.96442527e-08\n 7.94102745e-09 1.37788016e-08 2.46446668e-07 1.43114400e+04\n 2.56561104e-08 2.35060256e-08 2.36152328e-08 4.37659353e-09\n 2.47282277e-08 1.53216165e-08 3.23707372e-09 8.49479038e-09\n 4.37659353e-09 1.23227703e-08 5.42268987e-09 7.48685298e-09\n 9.90590122e-09 1.21765007e-07 3.23941086e-08 3.59031572e-08\n 1.35270329e+02 3.46780637e-09 2.26983514e+02 9.17750372e-11\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 7.08034008e+02 1.12093075e-08 1.00080000e+02 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 9.33250174e+01 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 8.81311652e+01 1.12028835e+02\n 1.00318894e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 8.68218626e+01 1.13338137e+02 3.76028608e-11 3.31273987e-10\n 1.00080000e+02 1.00080000e+02 9.67468110e+01 1.03413189e+02\n 4.61705688e-11 1.11199994e+02 1.00080000e+02 1.00080000e+02\n 9.63101945e+01 1.03849806e+02 7.50097319e-11 6.48908714e-10\n 1.00080000e+02 1.00080000e+02 9.67468110e+01 1.03413189e+02\n 9.23027545e-11 1.11199994e+02 1.00080000e+02 1.00080000e+02\n 9.63101945e+01 1.03849806e+02 4.96864290e-11 1.42248357e+02\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 2.19092478e-09 1.00080000e+02 1.00080000e+02 1.05282705e+02\n 2.50092277e+01 1.69948067e+02 1.76641385e-10 3.47631764e-09\n 5.87299943e-10 9.72283464e-10 1.52801624e-10 1.37233511e-09\n 3.16558072e-10 2.80435750e-09 9.08076878e-11 1.39692504e-10\n 6.25619671e-10 1.59896445e-09 2.17336245e-09 6.60577212e-10\n 1.93115473e-08 6.86557828e-09 6.82951478e-09 3.56552617e-09\n 3.73312523e-09 8.21632432e-09 6.97678151e-09 1.56832948e-09\n 6.52532798e-09 3.10541353e-09 1.80055044e-09 2.67911027e-09\n 1.32677415e-09 3.54831760e-09 2.77046063e-08 5.47627862e-09\n 3.74603165e-09 3.63638006e-09 1.16845389e-08 4.10459623e-09\n 2.63332821e-09 2.68813770e-09 4.82953812e-09 5.74432857e-09\n 6.02190623e-09 5.59015739e-09 1.94317734e-09 6.73610907e-09\n 5.12597129e-09 2.06357682e-09 3.28642363e-09 3.59821352e-09\n 3.28571405e-09 4.78957166e-09 8.24906672e-10 9.75383770e-10\n 5.34250227e-09 1.06409338e-09 1.75127970e-09 1.96304999e-10\n 3.67366804e-09 7.02324961e-10 1.71978806e-09 1.90025880e-10\n 1.78085471e-09 3.64476776e-10 2.98347994e-09 1.02817758e-10\n 1.58501242e-10 2.25849923e-09 1.52653116e-09 2.47578933e-09\n 6.59897746e-10 1.24317085e-08 5.10227066e-08 1.03644211e+00\n 3.78670479e-09 6.33403630e-09 4.41250855e-09 4.56562588e-09\n 3.24199947e-08 6.36174130e-09 6.63239176e-09 8.49774321e-09\n 2.51842099e-09 2.11541382e-09 2.94263813e-09 9.10405896e-09\n 7.89565426e-09 8.59290779e-09 3.10054933e-09 3.45713112e-09\n 2.06895292e-09 3.24960982e-08 3.01943014e-09 1.47388460e-09\n 3.99534221e-09 1.21552158e-08 4.26047399e-08 6.04151084e-09\n 4.39981436e-09 4.01063520e-09 1.42843692e-08 4.62866671e-09\n 2.92496549e-09 3.06954112e-09 5.43837382e-09 6.34146951e-09\n 6.66289067e-09 6.22313084e-09 2.18779865e-09 7.58868553e-09\n 5.89323482e-09 2.32564581e-09 3.73128712e-09 4.06651529e-09\n 3.72485949e-09 5.43553525e-09 9.60983990e-10 1.11290994e-09\n 4.58191180e-09 1.22334949e-09 2.11500866e-09 1.83812909e-09\n 1.79255321e-10 8.30900534e-09 7.09038100e-10 1.04523218e-09\n 1.63837472e-10 1.58974355e+01 3.37807616e-10 2.65663428e-09\n 9.52535628e-11 1.49158100e-10 1.58974355e+01 1.40904977e-09\n 2.32145169e-09 5.90460546e-10 7.04399357e-09 9.96587647e-09\n 1.08450411e-08 3.50058847e-09 6.41788450e-09 4.17452286e-09\n 4.69010623e-09 5.06830748e-08 6.06761411e-09 6.51414730e-09\n 7.92605537e-09 2.49959811e-09 1.98235564e-09 2.72379221e-09\n 8.98268138e-09 7.89663514e-09 7.66687433e-09 3.06448160e-09\n 3.34013232e-09 1.96370562e-09 3.45234618e-08 2.79080675e-09\n 1.41483274e-09 3.96452797e-09 1.14318811e-08 4.33253705e-08\n 5.93404820e-09 4.09492628e-09 4.05037068e-09 1.32901619e-08\n 4.48886837e-09 2.80728435e-09 2.84614135e-09 5.02411217e-09\n 6.20562560e-09 6.58057705e-09 6.10777924e-09 2.02302575e-09\n 7.55333475e-09 5.54993934e-09 2.15407570e-09 3.48502298e-09\n 3.80553639e-09 3.48153564e-09 5.10954995e-09 9.36262097e-10\n 1.04313684e-09 3.27778946e-09 1.08519317e-09 2.01507868e-09\n 4.07474038e-09 2.24830656e-10 2.64843458e-09 7.35692752e-10\n 8.25444364e-10 1.57389443e-10 9.39004954e-10 3.41819376e-10\n 3.67671505e-09 9.83132465e-11 1.43666360e-10 1.23420008e-09\n 1.47890971e-09 2.50100080e-09 5.94911946e-10 7.09800745e-09\n 9.40655011e-09 9.99881182e-09 3.51179223e-09 5.94068399e-09\n 3.97012345e-09 4.39060180e-09 2.23338014e-08 5.79040695e-09\n 6.12231361e-09 7.53052881e-09 2.36997804e-09 1.82903620e-09\n 2.61604236e-09 8.35945371e-09 7.43557678e-09 7.37388081e-09\n 2.89707145e-09 3.18493663e-09 1.97489450e-09 3.82613773e-08\n 2.78375356e-09 1.35213806e-09 3.77691638e-09 1.14665532e-08\n 5.21195858e-08 5.51534412e-09 4.26079533e-09 3.67994671e-09\n 1.44018950e-08 4.31155025e-09 2.68428499e-09 2.86586902e-09\n 5.01475562e-09 5.81273408e-09 6.12852210e-09 5.74694530e-09\n 2.02050194e-09 7.23587949e-09 5.59578619e-09 2.15037824e-09\n 3.47303578e-09 3.82769353e-09 3.48013293e-09 5.12906029e-09\n 9.03958276e-10 1.04594808e-09 4.48000007e+01 1.17223070e-09\n 1.92410630e-09 1.66238341e-09 1.81839966e-10 3.68432216e-09\n 6.43942340e-10 6.70904374e-10 1.43531233e-10 1.69492384e-09\n 3.24170950e-10 2.77418831e-09 9.31811752e-11 1.42169324e-10\n 2.69835964e-09 1.37722561e-09 2.31221003e-09 5.73651181e-10\n 6.78134792e-09 9.41042525e-09 1.00912408e-08 3.38395317e-09\n 5.97660262e-09 4.00414834e-09 4.40367630e-09 9.76941148e-08\n 5.78899747e-09 6.22277757e-09 7.68278447e-09 2.36710435e-09\n 1.91961549e-09 2.60147818e-09 8.61926950e-09 7.49080155e-09\n 7.02370572e-09 2.91077211e-09 3.08492853e-09 1.78107243e-09\n 3.37323522e-08 2.74052752e-09 1.32345406e-09 3.42115716e-09\n 1.09581445e-08 2.24338330e-08 5.42694509e-09 3.71328818e-09\n 3.60229239e-09 1.18181500e-08 3.89884583e-09 2.61191094e-09\n 2.64425110e-09 4.91459781e-09 5.61888077e-09 5.80935743e-09\n 5.61180398e-09 1.96243059e-09 6.66115046e-09 5.11695814e-09\n 2.06972125e-09 3.43608569e-09 3.70374456e-09 3.41365014e-09\n 5.01555532e-09 9.10897303e-10 1.02891449e-09 8.61252986e-09\n 1.05673261e-09 1.92243975e-09 2.38551961e-09 1.68983161e-10\n 2.74412155e-09 6.57355945e-10 7.19577130e-10 1.53709225e-10\n 9.53690892e-10 3.46184152e-10 2.46326776e-09 9.98248360e-11\n 1.51500479e-10 1.33446358e-09 1.48962213e-09 2.44474208e-09\n 1.86420478e-09 2.20301343e-08 1.54114714e-07 4.60073095e+02\n 1.08621945e-08 6.41092245e-09 4.19431831e-09 4.81300337e-09\n 3.81618519e+03 6.06181778e-09 6.64397841e-09 8.04578434e-09\n 2.53789695e-09 2.01506655e-09 2.72194931e-09 9.24222806e-09\n 8.07690129e-09 7.27047606e-09 3.11512305e-09 3.34248968e-09\n 1.92867479e-09 3.53886182e-08 3.00761729e-09 1.43331127e-09\n 3.71251833e-09 1.18028752e-08 2.64623041e-08 5.86737236e-09\n 4.03604135e-09 3.92632327e-09 1.36756848e-08 4.24284556e-09\n 2.82308354e-09 2.86339412e-09 5.34732259e-09 6.14008932e-09\n 6.38918752e-09 6.15723877e-09 2.15810099e-09 7.20345099e-09\n 5.65390334e-09 2.23424702e-09 3.74406237e-09 4.10129430e-09\n 3.73607396e-09 5.57776004e-09 9.52835465e-10 1.06664592e-09\n 5.69882588e-09 1.07087408e-09 2.01154358e-09 1.92766993e-09\n 1.24754192e+00 3.79777550e-08 7.00637871e+01 1.24716728e-11\n 1.18029157e+02 1.18029157e+02 1.66942822e+01 1.66942822e+01\n 1.76000000e-01 1.17974157e+02 1.17974157e+02 1.64792822e+01\n 1.64792822e+01 6.38168567e-11 1.49600000e+00 1.52000000e+00\n 4.41839900e+00 4.16787944e+01 5.01143928e+01 1.02834137e-08\n 2.68973184e+01 2.68973184e+01 9.92317926e-10 1.92318682e-09\n 1.22362459e-10 2.68433184e+01 2.68433184e+01 1.90707524e-11\n 3.79323218e-11 2.08714087e-11 1.42100000e+00 1.44299998e+00\n 1.45400000e+00 4.18300000e+00 1.83483235e-11 1.28039640e+01\n 2.16000000e-01 2.16000000e-01 2.96999999e-01 2.96999999e-01\n 8.09999965e-02 1.65999999e-01 1.65999999e-01 1.97999996e-01\n 1.98000000e-01 5.74811941e-11 2.66560000e+01 2.70790000e+01\n 1.99955574e+01 7.84820000e+01 1.76000001e-01 1.51000000e+00\n 4.05400000e+00 4.05400000e+00 4.63518295e+00 4.63518295e+00\n 2.03847999e-01 3.11200000e+00 3.11200000e+00 3.71299999e+00\n 3.71300000e+00 1.25847998e-01 1.30241167e-10 6.28455546e-09\n 7.28644258e+00 1.83787530e-09 3.30100000e+00 2.83230000e+01\n 2.82598308e-10 5.90886859e-10 9.37817050e-01 9.37817052e-01\n 4.43500000e+00 2.86544972e-11 5.92988442e-11 1.95860570e-11\n 3.90471595e-11 2.98500000e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": -10312115.933810076, ""dcost"": -10312115.935347669, ""pres"": 8.573152651867906e-13, ""dres"": 7.186332349951038e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.4153989365825483, ""gap"": 0.025469779890396713, ""relgap"": 2.469888823387796e-09, ""r0"": 1e-08, ""iter"": 20, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.017583999, ""tsetup"": 0.000620583, ""tsolve"": 0.016963416}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2542,cvxpy_osqp,unknown,NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:43,0.3852531909942627,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2543,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:46,1.6559538841247559,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2544,cvxpy_sdpa,unknown,NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:46,0.048150062561035156,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2545,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:47,0.02378225326538086,OPTIMAL,10312115.935089216,10312115.93508922,-3.725290298461914e-09,0.18557340660277583,2.751429228248597e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 10312115.93508922, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2546,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:47,0.007427215576171875,OPTIMAL,10312115.93508922,10312115.93508922,0.0,3.423924845738743e-17,3.66173682985548e-20,216,"{""solver_solve_time"": 0.003056999295949936, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 10312115.93508922, ""solver_stats"": {""solve_time"": 0.003056999295949936, ""num_iters"": 216, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2547,scipy_linprog,scipy-1.15.3,NETLIB,bandm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:48,0.009038209915161133,OPTIMAL,-158.62801845012075,,,0.0,,482,"{""solver_solve_time"": 0.009038209915161133, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -158.62801845012075, ""scipy_nit"": 482, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2548,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,bandm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:48,0.007206916809082031,OPTIMAL,-158.62801843374493,-158.62801841429078,-1.9454148514341796e-08,2.739071498384571e-10,8.706101686545169e-13,17,"{""solver_solve_time"": 0.004471042, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -158.62801841429078, ""solver_stats"": {""solve_time"": 0.004471042, ""num_iters"": 17, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2549,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,bandm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:50,0.9895508289337158,OPTIMAL,-158.59405187656807,-158.59455535321916,0.0005034766510902955,9.936099313839666e-06,4.199131139254706e-06,42250,"{""solver_solve_time"": 0.986087375, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -158.59455535321916, ""solver_stats"": {""solve_time"": 0.986087375, ""setup_time"": 0.000732875, ""num_iters"": 42250, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-5.26525233e+02 -2.17745968e-01 -3.19057824e-01 -2.89010918e-01\n 9.17580156e-02 -3.82362745e-02 -5.91279464e-01 -4.97829413e-01\n 1.67983800e+00 -6.02530607e+02 -9.73634738e-01 -9.80043928e-01\n -6.69459809e-01 5.22635939e-02 -9.70293330e-01 -3.13627092e-01\n -2.63093601e-01 -1.01313440e-01 -4.99612434e-01 -5.38949856e-01\n -4.23108368e-01 -4.15846779e-01 -4.13047688e-01 -4.15492148e-02\n -4.06618747e-02 -4.23001236e-02 -3.81932572e-02 -5.08849414e-02\n 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6.86537221e-01 8.38432081e-11 2.32770984e-01\n 9.33420545e-11 4.41491866e-10 1.35897833e-09 8.42975031e-11\n 3.39060428e-02 2.16730123e-10 3.08199777e-10 7.47773065e-10\n 5.12746341e-10 3.97836769e-10 1.13733986e-11 8.53427420e-11\n 1.05098495e-10 2.40471652e-11 2.31024429e-11 7.19180401e-11\n 1.33863905e+00 7.51153026e-11 2.95292869e-01 1.59725609e-11\n 1.48096395e-02 1.94248489e-02 1.68469060e-09 1.89762030e-01\n 2.99722946e-11 6.64342724e-01 9.52157197e-10 1.16432465e-10\n 1.41174421e-10 7.85221217e-11 3.53701075e-10 5.61200232e-10\n 1.28921238e-09 4.31839443e-11 6.18770830e-12 5.63201054e-11\n 3.72127371e-09 4.62773861e-11 9.99999640e-03 3.10367013e-10\n 4.41370493e-11 6.66989979e-10 4.31590039e-10 5.35272034e-11\n 1.65934396e-11 2.48932924e-11 8.57641444e-11 7.41010557e-10\n 7.52226620e-10 3.12424264e-11 6.41591064e-09 1.68761911e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": 158.62801843381354, ""dcost"": 158.62801844082094, ""pres"": 1.9983106923669746e-12, ""dres"": 1.870470574449022e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.37776534608940615, ""dinfres"": NaN, ""gap"": 5.121896545222202e-07, ""relgap"": 3.2288725507423634e-09, ""r0"": 1e-08, ""iter"": 18, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.004237124, ""tsetup"": 0.000381458, ""tsolve"": 0.003855666}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2551,cvxpy_osqp,unknown,NETLIB,bandm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:51,0.14691495895385742,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2552,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,bandm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:52,0.5577459335327148,OPTIMAL,-158.62801845779015,-158.62801839743076,-6.0359383269315e-08,3.5225661446455732e-09,1.0075621213499358e-13,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -158.62801839743076, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2553,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,bandm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:53,0.04053997993469238,OPTIMAL,-158.62790996752204,-158.62790996752227,2.2737367544323206e-13,3.282515868935082e-12,1.4182848669223156e-10,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count 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4.48489999e-02 1.69001285e-11\n 8.18799955e-03 5.03539996e-02 2.08729998e-02 1.70567830e-10\n 6.90542468e+00 6.86084268e+00 8.36316369e+00 6.43665448e+00\n 3.48260572e+00 3.50541772e+00 3.50367745e+00 3.49690545e+00\n 2.23195313e-10 9.01248633e+00 1.21171717e-10 1.12090365e-10\n 8.08026774e-12 1.25176708e-08 1.00000000e+01 7.32175628e-12\n 1.00000000e+00 1.28451351e+00 1.07819545e-09 1.00000000e+00\n 1.28451238e+00 4.16076882e-10 1.00000000e+00 2.45802280e-10\n 1.06944569e-11 1.01193063e-11 5.39292715e-09 6.31753716e-12\n 4.19953716e-11 1.15113929e-08 4.96290125e-11 9.36891771e-11\n 5.01900094e+00 4.85778894e+00 4.83767894e+00 8.39190001e-02\n 4.10110002e-02 1.56209853e-11 5.75489998e-02 8.11030009e-02\n 5.75489998e-02 8.56050288e-11 7.62930000e-02 1.50690000e-01\n 4.59218705e-10 3.23190000e-02 1.37393001e-01 3.33749999e-02\n 9.14990000e-02 2.80377158e-11 8.60919156e-02 1.48144003e-01\n 9.17370019e-02 2.47447584e-09 3.92719965e+00 3.83656165e+00\n 3.90489665e+00 5.57204334e+00 4.74454637e+00 4.67624637e+00\n 4.67572937e+00 1.19380375e+01 6.24443708e+00 1.44226994e+01\n 1.02586629e+01 8.53020007e-02 9.69999913e-03 9.56910272e-12\n 4.66336459e-11 1.42202808e-10 3.37329959e-02 1.28451165e+00\n 1.28451389e+00 2.00169416e-10 7.14940016e-02 2.00169416e-10\n 4.78689913e-02 4.28497263e-11 1.23898331e-03 5.59199866e-03\n 7.46779990e-02 5.59199866e-03 5.95988102e-11 6.21315667e+00\n 6.22140867e+00 5.28577667e+00 5.37987068e+00 5.28577667e+00\n 2.20543240e+01 5.04656424e+00 5.05303523e+00 5.01300824e+00\n 3.53032366e+00 3.49441666e+00 1.40955999e-01 1.38889001e-01\n 5.79430115e-11 3.51423117e+00 3.51041217e+00 3.76441469e-10\n 2.69725000e-01 2.06780001e-02 1.77759143e-09 5.79140002e-02\n 1.66603717e-10 7.85920000e-02 6.52698777e-12 9.46109875e-02\n 3.49974865e-04 2.96279873e-02 9.89999996e-03 2.57361000e-01\n 5.67938487e-11 2.06779998e-02 2.09236000e-01 9.89999996e-03\n 2.42036775e-11 2.06779998e-02 2.55750000e-02 1.18310000e-02\n 2.12267070e-11 2.06539998e-02 9.89999996e-03 7.93073999e-02\n 2.45025152e-11 2.06779998e-02 2.51850003e-02 1.78210003e-02\n 1.56365804e-11 1.56365804e-11 4.23500001e-02 7.86000000e-02\n 2.14826673e-11 2.06779998e-02 4.33099000e-02 1.52317685e-10\n 2.21189999e-02 2.08459835e-10 4.27729997e-02 2.24293311e+00\n 2.32643311e+00 2.24617302e+00 2.35950902e+00 2.26685102e+00\n 2.61919803e+00 2.85203203e+00 3.15569236e+00 3.31614236e+00\n 2.24761370e-10 3.15000002e-02 3.73594108e+00 3.73594108e+00\n 3.22199139e+00 3.24841639e+00 6.70857347e-11 1.98999992e-02\n 7.33095069e-09 1.25261007e-01 1.49904014e+01 4.98950384e+00\n 5.00751284e+00 2.24977354e+00 2.09777354e+00 2.92980360e-09\n 9.16133661e+00 9.35156561e+00 3.51421433e+00 3.50503933e+00\n 4.92224349e-10 5.03515202e+00 1.28451424e+00 8.22869374e-11\n 1.28451408e+00 1.28451363e+00 3.21310207e-10 1.53585936e-10\n 2.49371626e-12 2.04666245e-11 2.59588879e-10 7.48116351e-10\n 9.41132985e-11 1.41322341e-10 2.96053340e-10 3.22295527e-10\n 2.32012773e-09 3.63326743e-08 9.69807603e-11 1.68752967e-10\n 9.51571725e-11 2.62321867e-10 1.98148940e-10 3.91249177e-10\n 9.49783406e-11 2.28496024e-10 3.60450946e-11 7.85296628e-10\n 2.23213360e-10 2.05567103e-11 3.08635851e-10 7.15545167e-12\n 2.45538285e-12 2.84178641e-10 4.67922068e-10 2.33568144e-09\n 3.77492220e-11 1.76380930e-10 2.37778955e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": -33592.48580609641, ""dcost"": -33592.48581018193, ""pres"": 1.5444850421676836e-11, ""dres"": 7.958892729062167e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.7106232576459807, ""gap"": 5.242079109365112e-06, ""relgap"": 1.5604915752956195e-10, ""r0"": 1e-08, ""iter"": 11, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.0031831660000000003, ""tsetup"": 0.000359541, ""tsolve"": 0.002823625}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2560,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,beaconfd,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:57,0.07142210006713867,OPTIMAL,33592.485763032746,33592.4859134179,-0.00015038515266496688,4.132129023049231e-06,7.587370585700214e-12,5850,"{""solver_solve_time"": 0.06814199900000001, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 33592.4859134179, ""solver_stats"": {""solve_time"": 0.06814199900000001, ""num_iters"": 5850, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([-2.40000000e+00, -2.90000000e+00, -4.11323856e-03, -7.92556674e-07,\n -2.07000000e-03, -7.05000000e+00, -1.30000000e-03, -6.39000000e-03,\n -3.62000000e-03, -2.50000000e+00, 4.58737041e-21, -1.82000000e+00,\n -3.06000000e+00, -5.66000000e+00, -2.55000000e+00, -2.48000000e+00,\n -3.60000000e-01, -2.57000000e+00, -3.19999895e-04, 2.20799539e-02,\n -2.89000000e+00, -2.75000000e+00, -4.87573182e-20, 0.00000000e+00,\n -3.40000000e+00, -1.70100000e+01, -3.80000000e-04, -8.63000000e+00,\n -2.16000000e+00, -2.88000000e+00, -5.27000000e+00, -2.85000000e+00,\n 8.63935930e-07, -3.59000000e+00, -5.34000000e+00, 0.00000000e+00,\n -5.45000000e+00, -5.40000000e+00, -2.11000121e-03, -2.63000000e+00,\n 6.53880922e-07, -9.30000000e-04, -1.54000000e+00, 7.73829394e-07,\n -2.83000000e+00, 4.12112722e-06, -6.40000000e-03, 8.81530252e-09,\n -3.63000000e+00, 7.05224201e-09, -1.77500000e+01, -4.73000000e+00,\n -8.20000000e-01, -1.68000000e+00, -1.01000000e-03, -1.63500000e+01,\n -5.39000000e+00, 0.00000000e+00, -2.59000000e+00, 3.86681303e-08,\n -4.65000000e+00, -1.29999997e-03, -9.40000025e-04, -1.00000002e-03,\n -4.80000001e-04, -2.90000010e-04, -1.85999123e-03, -8.22000000e+00,\n -1.88000002e-03, -5.39999948e-04, 3.05996940e+00, 2.89000000e+00,\n 2.82997170e+00, 5.38994610e+00, -5.43301130e+00, 3.09117100e+00,\n 2.85986403e+00, 3.18933500e+00, 3.20276204e+00, 3.36872301e+00,\n 3.49757104e+00, -2.22463752e+00, 3.89675480e+00, 3.33382123e+00,\n -3.47984283e-01, 2.26489233e-01, 4.50480990e+00, 4.51278234e+00,\n 4.10457999e+00, 3.89696699e+00, 9.87996086e-01, 2.28986862e+00,\n 2.39731349e+00, 3.14663452e+00, 3.49617622e+00, -2.95006525e+00,\n 5.55909204e+00, 4.63776292e+00, 4.58120402e+00, 2.35497573e+00,\n 2.79512205e+00, 4.35550290e+00, 3.72726698e+00, 3.53183099e+00,\n -1.75628797e+01, -9.13121864e-02, 5.19898040e+00, -4.15254343e+00,\n 3.14185573e+00, 2.82556397e+00, 3.17020988e+00, 2.98567604e+00,\n 6.05069102e+00, 2.89932004e+00, 2.77913505e+00, 2.90099206e+00,\n 2.77111706e+00, 2.82812106e+00, 2.63594166e+00, 2.60207487e+00,\n 2.57031205e+00, 3.32772760e+00, 2.50054804e+00, 2.26426762e+00,\n 2.44420038e+00, 8.30748935e-01, 2.20279530e+00, 3.14668100e+00,\n 4.30719205e+00, 2.89240510e+00, 2.78924400e+00, 2.68362600e+00,\n 4.75437653e+00, 2.65122599e+00, 2.40874788e+00, 5.03495200e+00,\n 2.16087273e+00, 2.73067759e+00, 4.12035030e+00, 3.29180966e+00,\n 7.67426755e-11, 9.16926007e-13, -2.38977209e-13, -1.32740605e-10,\n 9.07260969e-20, 4.21052825e-17, -3.65621565e-11, 9.73948796e-12,\n 4.03075394e-11, -2.35417536e-10, -3.24137066e-11, -5.47956927e-12,\n 1.82586471e-10, -9.76653117e-19, -2.77156372e-11, -7.07740592e-18,\n 1.31679473e-11, -5.43482450e-15, -1.32095429e-10, 9.81114680e-12,\n 8.12541576e-11, 1.32928565e-11, 2.08292166e-12, 8.80612416e-11,\n -7.53261030e-17, 9.89493272e-13, 1.12447600e-11, -3.85003563e-19,\n -8.91098010e-13, -1.72780301e-18, 3.08739935e-11, 3.48413337e-11,\n -1.58987275e-12]), y=array([ 3.93998999e+00, 0.00000000e+00, 8.85224997e+01, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.13500000e+00, 7.15325000e+01,\n 2.64547367e+02, 1.44320000e+02, 1.08840000e+01, 1.26225000e+02,\n 4.60417505e+02, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 2.11050000e+01, 0.00000000e+00, 1.09800048e+01, 0.00000000e+00,\n 5.95974987e+01, 0.00000000e+00, 2.54387495e+02, 0.00000000e+00,\n 2.00128730e+02, 0.00000000e+00, 1.83043501e+02, 3.58480004e+02,\n 0.00000000e+00, 2.19022761e+03, 0.00000000e+00, 1.25484970e+03,\n 0.00000000e+00, 9.05124387e+02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.27582504e+02, 0.00000000e+00,\n 1.39110000e+01, 0.00000000e+00, 3.99520000e+02, 8.52800018e+01,\n 0.00000000e+00, 1.56350000e+01, 0.00000000e+00, 2.47488522e+02,\n 0.00000000e+00, 1.06552502e+02, 0.00000000e+00, 4.77971995e+02,\n 0.00000000e+00, 0.00000000e+00, 3.31448996e+01, 1.73814983e+01,\n 0.00000000e+00, 0.00000000e+00, 6.29999924e-01, 3.70939998e+02,\n 0.00000000e+00, 7.67001979e+02, 2.44349538e+03, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.25304000e+02, 3.28695000e+02,\n 0.00000000e+00, 0.00000000e+00, 2.57524997e+02, 1.00203013e+03,\n 0.00000000e+00, 0.00000000e+00, 1.03500000e+01, 0.00000000e+00,\n 7.25500056e+00, 0.00000000e+00, 0.00000000e+00, 4.00800000e-01,\n 7.50000000e-02, 1.11999999e+03, 0.00000000e+00, 6.40000001e+02,\n 6.00566247e-18, -2.23743243e-17, -1.26665196e-17, 5.59999984e+01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 4.00000000e+01, 6.55220430e-19, 7.34735007e+01, 7.90500004e+01,\n 1.11957300e+03, 6.90000000e-01, 0.00000000e+00, 1.22275749e+03,\n 0.00000000e+00, 0.00000000e+00, 8.12249606e+00, 0.00000000e+00,\n 0.00000000e+00, 2.11350002e+01, 0.00000000e+00, 3.63199979e+01,\n 8.43147000e+02, 8.87740500e+02, 2.04299998e+00, 1.43436700e+03,\n 2.12378888e+02, 7.50000000e-01, 1.80127000e+02, 9.76309988e+01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -6.55333900e-17,\n 0.00000000e+00, 5.99999999e+02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.19999997e+02, -6.55333900e-17, -1.62039516e-16,\n 2.00000077e+01, -2.26062621e-17, 0.00000000e+00, 2.58542327e-17,\n 3.40253688e-17, 3.60000003e+02, 2.01705489e-17, 7.45579525e-32,\n -2.32082601e-17, 4.00000468e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.84901388e-16, 0.00000000e+00,\n 0.00000000e+00, -3.05393896e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 9.99999997e+02,\n 1.92000000e+02, 6.50000012e+01, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 4.49999770e+01, -3.36018119e-18, 4.50000190e+01,\n 0.00000000e+00, 2.15000015e+02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.40000001e+02, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.57494001e-15, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 3.86793988e-17, 0.00000000e+00,\n 1.59999960e+02, 1.44891042e-16, -1.44891042e-16, 2.40000723e+01,\n -3.13836747e-16, 0.00000000e+00, 5.00000000e+00, 0.00000000e+00,\n 6.00000936e+01, 0.00000000e+00, 1.89300014e+03, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.25835288e-18, 0.00000000e+00,\n 1.65000144e+02, 3.93323077e-17, 0.00000000e+00, 0.00000000e+00,\n 4.10000144e+02, 0.00000000e+00, -1.75186620e-17, 1.75186620e-17,\n 4.45000151e+02, 0.00000000e+00, 5.49164659e-18, 1.61718098e-16,\n 4.15000157e+02, 5.49098667e-18, 5.06197054e-17, -3.37464703e-17,\n 5.79999932e+02, 5.79999932e+02, 0.00000000e+00, 0.00000000e+00,\n 4.20000247e+02, 0.00000000e+00, 0.00000000e+00, 6.00000001e+01,\n 0.00000000e+00, 4.70000954e+01, -1.23254603e-16, 0.00000000e+00,\n 0.00000000e+00, 5.45263807e-16, -7.97664746e-16, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.18798328e-16, 0.00000000e+00,\n 4.00000005e+01, 0.00000000e+00, -9.39520560e-20, 9.39520560e-20,\n -1.18798328e-16, 0.00000000e+00, 1.37000000e+02, 0.00000000e+00,\n 1.00000001e+00, 0.00000000e+00, 4.68280933e-20, 0.00000000e+00,\n -3.10526281e-16, 0.00000000e+00, 9.37280230e-16, 3.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.03418257e-16, 1.62039516e-16,\n 1.80000000e+01, 0.00000000e+00, 0.00000000e+00, 1.08000000e+02,\n 0.00000000e+00, 0.00000000e+00, 2.98030006e+01, 6.15738750e+01,\n 4.66507434e+01, 4.63979125e+02, 3.50000000e+01, 1.19447500e+01,\n 1.02451000e+02, 6.70201251e+01, 3.22806253e+01, 2.79935631e+01,\n 4.07599976e+00, 2.57515121e-01, 9.87437809e+01, 5.60000000e+01,\n 1.01620875e+02, 3.63044500e+01, 4.57359999e+01, 2.32182500e+01,\n 1.01625574e+02, 4.16723749e+01, 2.72101400e+02, 1.21309251e+01,\n 4.04530001e+01, 4.50825231e+02, 3.10000000e+01, 1.26656525e+03,\n 1.85225257e+02, 3.20000000e+01, 2.06372500e+01, 6.96550000e+00,\n 2.59862126e+02, 5.35938752e+01, 3.99432500e+01]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-33592.48591341789, prim_res=8.767101643317161e-07, dual_res=0.009758195052175303, iter=5850, rho_updates=4, rho_estimate=0.06561194548140314, setup_time=0.000551458, solve_time=0.067429208, update_time=0.0, polish_time=0.000161333, run_time=0.06814199900000001))""}}, ""problem_class"": ""LP""}" +2561,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,beaconfd,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:58,0.13623404502868652,OPTIMAL,33592.48581695072,33592.48580716784,9.782881534192711e-06,3.1323683793194314e-08,3.9814054275042005e-15,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 33592.48580716784, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2562,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,beaconfd,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:58,0.03990793228149414,OPTIMAL,33592.48724879502,33592.48724879502,0.0,3.5490486981518645e-13,1.4377717949048001e-11,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 33592.48724879502, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2563,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,beaconfd,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:59,0.0160062313079834,OPTIMAL,32454.290135999996,33592.4858072,-1138.1956712000028,95.28680102889979,1.2816839610226098e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 33592.4858072, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2564,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,beaconfd,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:59,0.004038095474243164,OPTIMAL,33592.4858072,33592.4858072,0.0,1.0874906845492018e-14,1.0664255170169559e-19,24,"{""solver_solve_time"": 0.0010148733854293823, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 33592.4858072, ""solver_stats"": {""solve_time"": 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3.76056049e-10 7.04511413e-02 1.20892834e-09\n 2.53419036e-09 1.05617047e-08 9.86262536e-10]"", ""y"": ""[]"", ""z"": ""[82.41759731 82.41759731 23.35589872 ... 3.18680874 0.76699999\n 8.04729548]"", ""s"": ""[9.83812326e-11 9.83812340e-11 3.47194569e-10 ... 2.54794485e-09\n 1.05847065e-08 1.00223126e-09]"", ""info"": {""exitFlag"": 0, ""pcost"": -1977.6295532917063, ""dcost"": -1977.6295535990914, ""pres"": 9.20778452066299e-13, ""dres"": 2.440782354354242e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.006298037196747892, ""gap"": 9.075914990025957e-07, ""relgap"": 4.589289725631053e-10, ""r0"": 1e-08, ""iter"": 58, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.035869999, ""tsetup"": 0.000980083, ""tsolve"": 0.034889916}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2569,cvxpy_osqp,unknown,NETLIB,bnl1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:44:05,0.37183308601379395,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2570,cvxpy_cvxopt,unknown,NETLIB,bnl1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:44:06,0.058264970779418945,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2571,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,bnl1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:44:07,0.11761999130249023,OPTIMAL,1977.630490335133,1977.6304903351402,-7.275957614183426e-12,2.7149702744512645e-12,9.63924174016947e-11,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1977.6304903351402, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2572,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,bnl1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:44:07,0.0905158519744873,OPTIMAL,1977.629561522887,1977.6295615228892,-2.2737367544323206e-12,1.4740123237894942,8.866050086634852e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1977.6295615228892, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2573,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,bnl1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:44:08,0.02298903465270996,OPTIMAL,1977.6295615228848,1977.6295615228896,-4.774847184307873e-12,3.3960309519138404e-16,1.95450704628458e-16,660,"{""solver_solve_time"": 0.016400501132011414, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1977.6295615228896, ""solver_stats"": {""solve_time"": 0.016400501132011414, ""num_iters"": 660, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2574,scipy_linprog,scipy-1.15.3,NETLIB,bnl2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:44:09,0.0951988697052002,OPTIMAL,1811.2365403585472,,,0.0,,1261,"{""solver_solve_time"": 0.0951988697052002, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1811.2365403585472, ""scipy_nit"": 1261, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2575,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,bnl2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:44:11,0.6045918464660645,OPTIMAL,1811.2365466338465,1811.2365448418097,1.7920367554324912e-06,1.4292521722455223e-10,1.0570614507011459e-13,36,"{""solver_solve_time"": 0.562384878, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1811.2365448418097, ""solver_stats"": {""solve_time"": 0.562384878, ""num_iters"": 36, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2576,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,bnl2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:44:32,20.324417114257812,OPTIMAL,1833.9034197103938,1833.9208709441587,-0.017451233764859353,5.5286816942631486e-06,9.004422438989305e-07,90125,"{""solver_solve_time"": 20.276035208, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1833.9208709441587, ""solver_stats"": {""solve_time"": 20.276035208, ""setup_time"": 0.007591041, ""num_iters"": 90125, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 1.48313172e-02 2.02992298e+00 -5.69527564e-03 ... 3.11964954e-06\n -8.68313365e-06 -5.67432732e-07]"", ""y"": ""[40.95359615 40.95359615 34.04640252 ... 0. 12.85210371\n 1.28257633]"", ""s"": ""[0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 3.11964954e-06\n 0.00000000e+00 0.00000000e+00]"", ""info"": {""status_val"": 1, ""iter"": 90125, ""scale_updates"": 2, ""scale"": 1.1574360740363967, ""pobj"": -1833.9208709441582, ""dobj"": -1833.9034197103936, ""res_pri"": 0.003066436561223596, ""res_dual"": 0.028456365605664537, ""gap"": 0.01745123376465836, ""res_infeas"": NaN, ""res_unbdd_a"": 0.032749504600533434, ""res_unbdd_p"": 0.0, ""comp_slack"": 3.726111009757168e-07, ""solve_time"": 20276.035208, ""setup_time"": 7.591041, ""lin_sys_time"": 17648.857210999668, ""cone_time"": 947.2448820000568, ""accel_time"": 267.8815090000772, ""rejected_accel_steps"": 817, ""accepted_accel_steps"": 0, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2577,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,bnl2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:44:34,0.2574131488800049,OPTIMAL,1811.2365404302848,1811.2365404255331,4.7516550694126636e-09,3.7157400032825443e-13,3.2426957201958314e-12,40,"{""solver_solve_time"": 0.208222625, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1811.2365404255331, ""solver_stats"": {""solve_time"": 0.208222625, ""setup_time"": 0.002850458, ""num_iters"": 40, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-2.74041765e-09 1.99301927e+00 -1.57824106e-09 ... 1.40397236e-10\n 1.32942236e-13 2.55146566e-13]"", ""y"": ""[]"", ""z"": ""[41.93333333 41.93333333 33.06666667 ... 44.96738116 49.330947\n 82.94578767]"", ""s"": ""[2.53998317e-13 2.53998317e-13 3.22106726e-13 ... 2.35982261e-13\n 2.16015276e-13 1.28472097e-13]"", ""info"": {""exitFlag"": 0, ""pcost"": -1811.2365404255358, ""dcost"": -1811.236540430281, ""pres"": 7.060308667282241e-12, ""dres"": 1.0544378335172372e-14, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.24141975796971538, ""gap"": 7.231339045090423e-06, ""relgap"": 3.9924873884177916e-09, ""r0"": 1e-08, ""iter"": 40, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.211073083, ""tsetup"": 0.002850458, ""tsolve"": 0.208222625}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2578,cvxpy_osqp,unknown,NETLIB,bnl2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:44:36,1.8323488235473633,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2579,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,bnl2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:02,24.669421911239624,OPTIMAL,1811.2366394593823,1811.2366074733213,3.1986061003408395e-05,7.93170996461326e-09,1.4054058821551852e-12,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1811.2366074733213, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2580,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,bnl2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:04,0.4688718318939209,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2581,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,bnl2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:06,0.41263794898986816,OPTIMAL,1811.2365403585454,1811.2365403585454,0.0,0.8468463280014761,5.715053494972265e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1811.2365403585454, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2582,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,bnl2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:07,0.1349029541015625,OPTIMAL,1811.236540358545,1811.236540358545,0.0,4.985425193278197e-17,3.814561579912728e-18,1884,"{""solver_solve_time"": 0.09060787409543991, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1811.236540358545, ""solver_stats"": {""solve_time"": 0.09060787409543991, ""num_iters"": 1884, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2583,scipy_linprog,scipy-1.15.3,NETLIB,boeing1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:08,0.013499975204467773,OPTIMAL,-358.9429375071266,,,0.0,,480,"{""solver_solve_time"": 0.013499975204467773, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -358.9429375071266, ""scipy_nit"": 480, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2584,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,boeing1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 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2.53982711e+01\n 2.56354346e-08 1.06769859e-08 1.44847212e-08 6.26173831e-09\n 3.03302863e-08 1.24041449e-08 2.56699568e-08 1.33378777e-08\n 9.16060354e-09 2.56179285e-08 3.06800383e-08 2.56238152e-08\n 3.06718506e-08 6.02971269e-09 4.33282151e+01 7.28197749e+01\n 1.03000000e+02 5.26488477e-09 2.06280674e-08 3.16717849e+01\n 9.92400939e-09 4.55466895e-08 2.06249259e-08 1.46461244e-10\n 2.00000000e+00 8.54304905e-10 6.39446731e-10 3.96847538e-11\n 6.49755068e+00 2.98430703e+00 2.87597369e+00 7.34070842e+00\n 9.99999961e-01 4.91406246e+00 1.34774800e-09 1.77857726e-10\n 3.55140188e-01 2.80000003e-01 3.55140187e-01 1.18061157e-01\n 1.12055369e-09 5.34819134e-09 1.44954125e+01 1.87906343e+01\n 8.35134380e-12 4.17809953e+00 3.09831701e-10 1.53156014e-10\n 3.67917322e-08 2.49080941e-09 1.02854253e-09 1.99736021e+00\n 6.19957989e-01 1.96428580e-01 1.08587241e+01 1.00000000e+00\n 1.00000000e+00 1.35571331e+01 1.81270778e-01 1.00000000e+00\n 1.59090912e-01 9.53679712e-01 1.83723935e+01 5.38662007e-01\n 6.64936987e-01 3.24886679e-09 3.01050452e-11 1.82482091e-10\n 1.25326569e-11 6.32821509e+00 6.67178485e+00 5.64708377e+01\n 2.99344660e+01 1.21333335e+01 7.67803494e+02 1.21577329e-06\n 6.18566269e+01 6.02103589e+02 4.60000001e+01 5.91651324e-08\n 3.29758588e-07 3.07058486e+01 2.00000003e+01 3.42684380e-09\n 3.65815308e-09 4.37708398e-09 3.65730434e-09 2.68887383e-09\n 6.11457791e+01 9.57821260e-08 4.80957228e+00 4.37061951e+00\n 4.81977486e+00 6.47464080e+02 2.77559197e+02 1.06716602e+03\n 9.62066019e-08 1.87647069e+01 9.93104348e-09 1.74900798e-08\n 7.27325581e+01 7.07865264e+01 4.75717813e+00 1.40000005e+01\n 5.21697676e+02 4.49848892e+02 7.28366317e-08 3.34659540e-08\n 7.00000003e+01 2.67727999e+03 1.73889335e-08 9.41860463e+00\n 1.12134736e+01 3.58667152e+02 3.72170252e-07 1.04651168e+00\n 1.84834375e+00 5.15165615e+00 1.99979813e-07 3.00000001e+01\n 1.07512168e-07 5.01043206e+01 1.82968446e+00 1.01696429e+02\n 4.73487941e-07 7.91862543e+02 4.65203799e+02 3.63319086e+02\n 4.43400000e+02 9.22499231e-09 3.81976743e+01 1.60226842e+01\n 9.18504673e+01 5.07723630e+02 2.17654334e+02 3.70999998e+02\n 1.30410715e+02 6.01457791e+01 9.50568116e-09 6.27906973e+00\n 4.30281688e+01 6.98702249e+01 2.73610740e-07 8.26487674e-08\n 2.14941704e-08 5.11819894e-09 1.38001693e-08 8.19190140e+01\n 5.76088934e+01 1.16205746e-05 2.70101767e+01 9.70166122e+01\n 1.46040059e+02 5.68854919e-06 8.15369712e+02 1.83798477e+03\n 5.89647886e+01 6.85434370e-08 9.97612993e+00 5.85352110e+01\n 5.45851901e-09 4.83962470e-08 5.40000000e+01 5.03047026e-08\n 1.13940416e-07 7.03201936e-08 4.90128629e+01 1.89392703e-09\n 4.70000000e+01 3.22940588e-09 4.72435371e+01 8.10000000e+01\n 3.00000000e+00 3.00000000e+00 3.00000000e+00 3.00000000e+00\n 3.00000000e+00 6.44859815e-01 4.00000000e+00 3.83967915e+00\n 3.27855614e+00 3.72000001e+00 3.99999999e+00 4.00000000e+00\n 1.91406250e+00 1.61764714e-01 1.92417279e+00 2.00000000e+00\n 2.00000000e+00 2.00000000e+00 7.00000000e+00 7.00000000e+00\n 7.00000000e+00 7.00000000e+00 7.00000000e+00 2.34198505e+00\n 6.99999876e+00 6.92512159e+00 6.99999990e+00 7.00000000e+00\n 5.07805100e+00 7.00000000e+00 7.00000000e+00 7.00000000e+00\n 7.00000000e+00 7.00000000e+00 3.97929886e-08 6.99999989e+00\n 3.91493141e+00 6.30482727e+00 7.00000000e+00 3.10278808e+00\n 7.00000000e+00 5.48916796e+00 6.99999996e+00 6.99999999e+00\n 6.99999999e+00 4.58266875e+00 4.00000000e+00 3.99999994e+00\n 3.99999992e+00 3.07582732e+00 4.00000000e+00 3.99999998e+00\n 2.30875466e+00 3.77718291e+00 4.00000000e+00 3.29518074e+00\n 3.84045700e+00 1.86436226e+00 4.00000000e+00 3.99999996e+00\n 3.30000001e+00 7.00000036e-01 4.00000000e+00 3.99999997e+00\n 3.99999999e+00 3.83823532e+00 7.00000000e+00 7.00000000e+00\n 7.00000000e+00 7.00000000e+00 7.00000000e+00 5.80357143e+00\n 7.00000000e+00 7.00000000e+00 7.00000000e+00 6.76548663e+00\n 6.23451338e+00 6.77716723e+00 6.99999898e+00 6.99999989e+00\n 6.99999999e+00 3.79930451e+00 6.99999999e+00 6.33579765e+00\n 6.99999995e+00 6.99999999e+00 6.99999999e+00 4.54614127e+00\n 1.00000000e+00 1.00000000e+00 1.30066723e-09 5.23255815e-01\n 1.00000000e+00 4.76744187e-01 6.74896175e-10 1.00000000e+00\n 1.00000000e+00 1.00000000e+00 1.72535222e-01 9.99999992e-01\n 4.51396407e+00 4.49952336e+00 5.00000000e+00 4.99999999e+00\n 2.93800368e+00 5.00000000e+00 5.00000000e+00 1.82521612e+00\n 4.31723262e+00 4.99999992e+00 5.00000000e+00 4.27306832e+00\n 4.74701083e+00 4.89166667e+00 5.00000000e+00 5.00000000e+00\n 4.99999998e+00 4.99999990e+00 9.76160314e+00 8.72855008e+00\n 7.00000000e+00 4.92229410e+00 1.00000000e+01 1.00000000e+01\n 4.86756375e-01 1.11430989e+01 2.00000000e+01 6.21578574e-09\n 2.00000000e+01 2.00000000e+01 2.00000000e+01 2.82746479e+00\n 3.00000000e+00 3.00000000e+00 3.00000000e+00 3.00000000e+00\n 2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00\n 1.26283771e-09 4.99999995e+00 5.00000000e+00 4.92681268e+00\n 2.00000000e+01 2.00000000e+01 2.00000000e+01 1.99999744e+01\n 1.53481155e+01 7.50022347e-09]"", ""s"": ""[5.49463068e-03 2.35849566e-11 5.51560299e-02 6.87917300e-02\n 1.98845233e-11 1.33008561e-02 1.33108561e-02 5.59199963e-03\n 2.99405885e-02 5.64371393e-12 4.11125030e-12 4.14709826e-12\n 2.80001394e-10 8.16241493e-03 9.38405657e-11 8.15241474e-03\n 6.97326500e-12 8.54952554e-13 8.12049076e-10 8.59127293e-13\n 2.29925923e-04 1.62948884e-02 6.85831123e-03 1.05879615e-11\n 5.21860915e-03 1.02039753e-11 2.77031306e-11 3.16513696e-11\n 1.33449670e-12 5.42145624e-11 1.25415580e-11 3.33111083e-12\n 2.30106628e-03 9.87732138e-13 2.69475343e-12 7.98986704e-12\n 4.06139595e-12 2.80343324e-12 1.68519378e-02 6.55217293e-11\n 3.55303791e-02 2.86280531e-10 1.46836769e-02 1.74477188e-12\n 6.86011841e-03 7.90953104e-12 8.07323547e-04 8.17323573e-04\n 2.92261092e-12 6.08401439e-02 6.87424187e-12 5.52941933e-12\n 8.03642151e-13 1.29361932e-11 1.74394230e-11 8.36831983e-12\n 8.87633607e-11 6.80311803e-12 8.74792931e-03 1.70021191e-03\n 8.26614664e-03 5.06848413e-13 7.23081384e-11 1.98592253e-12\n 4.18504871e-12 4.49908794e-03 4.05800002e-12 4.88134461e-11\n 7.99126917e-12 1.04445939e-12 3.28019108e-13 3.10884616e-12\n 1.64991525e-12 2.80848101e-12 1.87650811e-13 3.26990550e-11\n 9.98237343e-03 4.03993426e-11 1.75464244e-11 6.74635329e-12\n 2.56473175e-02 1.56649441e-02 1.56649441e-02 4.74672939e-03\n 1.78755728e-12 7.01153047e-12 1.86684412e-02 2.03929273e-02\n 1.44322013e-10 3.33151134e-02 1.82675367e-12 5.35257284e-02\n 4.66460436e-02 5.40017056e-12 6.92157993e-11 3.04816521e-11\n 7.28002932e-12 3.67579481e-12 3.70224708e-11 1.55187282e-12\n 1.19138362e-11 1.10914164e-11 2.79311879e-03 5.37080406e-02\n 4.04776400e-12 7.22041695e-02 6.70489708e-02 1.14753298e-11\n 4.29056464e-04 9.54762030e-13 4.10085012e-12 4.81782712e-04\n 3.27984061e-13 1.86857267e-12 1.16022630e-12 4.19984328e-02\n 5.36721424e-12 1.79702871e-12 1.25278938e-11 7.62864184e-02\n 5.48328545e-03 5.37262663e-12 7.21847841e-12 4.63890385e-02\n 5.48328544e-03 2.59638394e-12 1.67437392e-12 4.97888221e-04\n 2.07248771e-03 7.27758804e-13 4.65617567e-04 5.53809732e-12\n 4.43411436e-02 5.41431428e-12 5.70248656e-12 8.80876711e-02\n 5.48328554e-03 8.53756132e-11 1.01482003e-10 5.81902912e-02\n 5.48328548e-03 2.56909108e-11 4.46624425e-11 1.05224543e-12\n 7.40966369e-12 8.25144696e-12 2.98973799e-02 8.82073841e-12\n 5.89958105e-12 4.81508221e-12 3.01545972e-12 7.46166311e-12\n 2.04079619e-12 1.97853777e-12 5.67224304e-11 5.21860913e-03\n 1.12247116e-12 2.74371570e-03 1.54475949e-12 2.52594175e-11\n 1.03640687e-12 2.93711272e-05 6.63471301e-13 1.43185632e-13\n 1.85044022e-11 1.01116063e-12 1.99569180e-12 5.98333651e-11\n 1.14547339e-12 2.17472418e-12 1.86357023e-11 1.99592280e-12\n 2.91940680e-05 2.32961553e-12 2.49600988e-11 3.99718597e-01\n 3.92907240e-11 4.73149042e-01 7.08157801e-11 1.10592653e-02\n 1.05742211e-11 1.37127444e-10 2.73763223e-10 2.49740885e-11\n 4.63407273e-01 5.24210612e-03 1.15596544e-11 6.73238058e-03\n 9.99875976e-06 2.86352299e-11 4.28877163e-11 9.17427779e-11\n 1.14417660e-11 6.86422833e-12 5.48809775e-11 2.73751268e-10\n 2.12554641e-11 2.76428631e-02 4.30985222e-02 3.46709799e-11\n 2.76328631e-02 4.30985222e-02 2.74303464e-10 2.74232755e-10\n 2.74287224e-10 2.74319335e-10 1.37220552e-10 3.92068120e-11\n 1.37074332e-10 1.37211730e-10 1.37120998e-10 2.73750338e-10\n 1.37215354e-10 5.48830864e-11 1.37066160e-10 1.30691041e-11\n 2.11098795e-11 4.57298255e-11 3.92048586e-11 1.61446114e-11\n 1.09788116e-11 4.26733510e-11 5.90330000e-01 4.89632326e-12\n 2.79410328e-01 3.01645152e-12 2.76640496e-01 7.06404959e-02\n 1.63627933e-01 6.31673751e-12 1.63000000e-01 6.92654703e-12\n 1.32308618e-01 3.73086184e-02 6.25056371e+00 2.73460351e+00\n 1.06169016e+00 7.58825516e+00 2.47705832e+00 1.16897496e-10\n 1.13893871e-01 1.79621994e-09 3.87443019e-10 1.03616211e-09\n 2.83958704e-02 9.46578082e-02 3.15398709e-09 3.29467332e-10\n 3.60256039e-09 2.66552685e+00 1.25953871e+00 7.20116478e-01\n 1.03387148e+00 5.22503367e-01 2.60949893e-01 8.32065365e-02\n 7.71345316e-02 5.87546369e-11 1.95087078e-04 3.79913037e-09\n 2.77553645e-03 6.16506382e-02 1.45108350e-10 1.26964738e+00\n 6.73372710e-01 3.68703723e-01 7.63011890e-02 1.49640218e-01\n 4.27911039e-11 2.27415334e-03 9.66295804e-11 4.13740071e-10\n 6.27466231e-02 7.22642816e-11 6.24686218e-02 1.85090816e-10\n 6.35606033e-03 2.22518788e-02 2.23358477e-02 1.16627509e-10\n 8.32042348e-02 4.21883026e-03 3.37681547e-03 2.95794701e-10\n 5.82829803e-02 1.09037029e-02 1.81201360e-10 1.17739617e-09\n 1.17214455e-01 3.92275966e-10 1.70468790e-09 1.29651208e-10\n 1.02420126e-01 7.01055858e-03 3.88602311e-10 8.33892444e-11\n 1.57180728e-01 1.00437292e-02 3.02868692e-02 1.55016330e-09\n 9.62734351e-01 4.96809762e-01 2.58646710e-01 7.15358098e-02\n 8.96658507e-02 2.27152066e-10 6.30869214e-01 2.97179564e-01\n 1.32685072e-01 1.16833042e-09 3.32475223e-10 1.12227457e-09\n 3.05457181e-04 2.51967128e-03 3.03690040e-02 9.07205816e-11\n 4.12702249e-02 4.21178176e-10 4.99166123e-03 1.78166315e-02\n 2.41358044e-02 1.13542598e-10 2.04753917e+00 2.23134821e+00\n 2.75757653e-10 5.80268574e-10 3.33016099e+00 5.21213058e-10\n 2.76167856e-10 1.31200199e+00 6.22453475e-01 3.26630347e-01\n 3.45555577e-10 3.22106678e-02 5.58577970e-10 5.68414746e-10\n 5.95044359e-02 2.63821566e-02 1.32864278e-10 5.83473581e+00\n 1.90026597e+00 8.70654930e-11 4.03023988e-10 3.33350124e-03\n 6.14957818e-02 3.57359765e-10 1.20951282e-09 2.69427760e-09\n 2.01361097e-01 3.69720177e-01 1.25521741e-02 2.79480321e-03\n 1.15144331e-09 2.37432484e-10 1.22615114e-01 1.33326244e-10\n 1.00193016e-01 1.66276821e-01 2.93336559e-11 3.30470331e-11\n 1.61490455e-02 1.37420745e-11 7.43716293e-02 1.24125248e-01\n 1.77901179e-02 1.61594952e-09 4.72300713e-01 7.86951852e-01\n 6.72963865e+00 2.18601754e+00 2.74282234e-10 2.75691186e-10\n 6.31124666e+00 1.86785188e+00 2.75356658e-10 5.25448534e-03\n 5.45977980e-02 3.58992615e-09 3.47241766e-01 1.61200050e-01\n 6.51458470e-02 4.82208230e-05 5.81805485e-11 1.37749298e-11\n 1.36846561e-10 1.33376328e-01 1.69812845e-01 1.30920000e-01\n 8.04404575e-02 1.34810000e-01 2.99880458e-01 2.58020458e-01\n 1.90203303e-02 7.30580428e-02 3.50913379e-02 1.45148151e-02\n 3.03200000e-02 2.61717183e-02 2.15388055e-02 7.66337006e-02\n 2.50026357e-01 2.59296357e-01 5.89063572e-02 5.71701681e-02\n 5.46130717e-02 2.57117801e-02 2.59184946e-02 3.07200001e-02\n 2.84271369e-02 1.74191439e-02 2.78447137e-01 2.39622081e-01\n 2.41847633e-02 2.62200001e-02 2.22550000e-01 2.13866714e-01\n 3.14800000e-02 1.40117182e-02 2.25560277e-02 2.45678742e-02\n 2.32050000e-01 2.23376714e-01 1.88355159e-02 1.81975564e-02\n 2.08618464e-02 2.75730000e-01 2.22830000e-01 1.37967145e-02\n 2.69571847e-01 2.15191846e-01 1.99088900e-02 7.18800000e-02\n 2.71460000e-01 2.18870000e-01 5.24509055e-02 3.39610077e-02\n 1.92544849e-02 3.95204256e-02 5.69183394e-02 3.05279137e-02\n 1.34320000e-01 1.21658806e-01 1.20116028e-01 2.64384328e-02\n 2.22141718e-01 2.76611718e-01 7.16415937e-02 7.01736998e-02\n 7.18213193e-02 7.52034975e-02 8.56814111e-02 8.27739772e-02\n 2.27781780e-01 2.81881780e-01 2.50190000e-01 2.59430000e-01\n 2.20381718e-01 2.29631718e-01 2.17277874e-01 2.16861718e-01\n 2.26261718e-01 2.08841718e-01 2.63201718e-01 2.26497874e-01\n 2.21347874e-01 2.75787874e-01 2.33231846e-01 2.20345516e-01\n 2.74365516e-01 2.78790426e-01 2.86298339e-01 2.70990905e-01\n 2.28620905e-01 2.41268339e-01 2.30360426e-01 2.74155618e-10\n 2.15001319e-01 3.29483328e-13 5.50585446e-13 3.99556659e-01\n 2.12539913e-12 1.10646741e-14 1.88553219e-14 1.93339166e-14\n 8.67435913e-14 3.99718760e-01 3.99718760e-01 3.99718760e-01\n 9.60549972e-03 5.48328546e-03 5.55598535e-12 4.75799815e-02\n 1.33008561e-02 5.12689758e-02 4.61102839e-11 5.73184063e-02\n 5.54348142e-12 5.20762998e-02 4.85996376e-11 5.88086808e-02\n 5.11115422e-02 1.97602439e-02 5.98117369e-03 2.30899363e-02\n 1.33008561e-02 7.55577317e-03 2.93430750e-02 5.48328545e-03\n 2.26081536e-02 1.33008561e-02 2.47894558e-02 2.90982817e-02\n 9.51848451e-12 2.90982817e-02 5.27460773e-12 2.26081536e-02\n 8.96397224e-03 2.26081536e-02 8.79119446e-03 2.76428631e-02\n 6.41164773e-11 5.94890304e-03 1.97935406e-02 5.48328547e-03\n 2.63382199e-02 1.87979827e-02 2.34439126e-02 3.28565667e-02\n 5.90090140e-02 1.86684411e-02 1.88142157e-02 3.33151135e-02\n 2.03929272e-02 3.31568118e-12 1.05862408e-10 1.33892599e-12\n 1.19779190e-02 1.80570655e-11 3.88024114e-12 3.44094062e-02\n 4.63890385e-02 2.98973799e-02 9.53379743e-03 2.26081536e-02\n 5.48328543e-03 2.43093987e-11 4.49143480e-12 5.03470951e-03\n 2.26081536e-02 3.46792381e-12 1.57314990e-12 5.48328547e-03\n 2.57695744e-02 2.45420863e-02 1.06955152e-02 8.96966975e-03\n 2.15516063e-02 3.00189923e-02 8.96966974e-03 1.08197033e-11\n 1.06955151e-02 2.57695743e-02 1.88998211e-02 4.47122866e-02\n 8.96967054e-03 2.20580289e-02 1.06810171e-02 2.06805617e-02\n 3.00189923e-02 1.06955151e-02 8.96966974e-03 1.06955151e-02\n 8.98037588e-03 4.55195425e-02 6.32693673e-12 3.75811671e-12\n 2.67404282e-12 5.20762994e-02 1.33008561e-02 8.64152116e-12\n 2.76428631e-02 6.72238141e-03 1.33008559e-02 1.12405175e+00\n 1.37371369e-10 3.17487893e-01 5.49857300e-01 7.71259545e+00\n 4.22940443e-11 9.12143942e-11 9.46848610e-11 3.78773985e-11\n 2.79798329e-10 5.60009520e-11 2.04070593e-01 1.56805877e+00\n 7.70911440e-10 9.43242231e-10 7.74489960e-10 2.27580968e-09\n 2.53835279e-01 5.74861221e-02 1.88586737e-11 1.46303555e-11\n 3.34179475e+01 6.50945962e-11 1.21301801e+00 2.40202165e+00\n 7.26708037e-03 1.13384449e-01 2.63371702e-01 1.36460369e-10\n 4.35619923e-10 1.34853668e-09 2.52175123e-11 2.74314113e-10\n 2.74314113e-10 2.03036949e-11 1.46418661e-09 2.74314113e-10\n 1.68216153e-09 2.84972949e-10 1.49812306e-11 4.98024965e-10\n 4.10871718e-10 8.76085001e-02 9.15306533e+00 1.50677793e+00\n 2.42427501e+01 4.30849556e-11 4.08915812e-11 4.80223900e-12\n 9.04445485e-12 2.23075399e-11 3.61039836e-13 2.19219806e-04\n 4.38765900e-12 4.63470832e-13 5.93549023e-12 4.49631789e-03\n 8.07323570e-04 8.97943136e-12 1.38207322e-11 8.00818199e-02\n 7.50036428e-02 6.21035173e-02 7.50036428e-02 1.08470506e-01\n 4.50805078e-12 2.89430734e-03 5.37949829e-11 5.80771748e-11\n 5.38951809e-11 4.21072444e-13 9.91233623e-13 2.58038370e-13\n 2.85340729e-03 1.38373081e-11 2.76428631e-02 1.56649441e-02\n 3.76199201e-12 3.89232852e-12 5.47729933e-11 1.89010982e-11\n 5.22657517e-13 6.11461444e-13 3.76705865e-03 8.26614657e-03\n 3.92498085e-12 1.03034844e-13 1.56649441e-02 2.91696467e-11\n 2.46989645e-11 7.60341027e-13 7.26388536e-04 2.54494628e-10\n 1.52703162e-10 5.31604444e-11 1.45541879e-03 9.12318256e-12\n 2.47384411e-03 5.46699588e-12 1.44182594e-10 2.68740780e-12\n 5.66501438e-04 3.45005797e-13 5.91383444e-13 7.56064653e-13\n 6.18425613e-13 3.01971802e-02 7.15013911e-12 1.71455986e-11\n 2.98726646e-12 5.38750267e-13 1.26429531e-12 7.71948757e-13\n 2.08613382e-12 4.56614004e-12 3.10102134e-02 4.28999243e-11\n 6.34799967e-12 3.85198571e-12 9.79670986e-04 3.31191871e-03\n 1.27484959e-02 5.36235794e-02 1.96068079e-02 3.30491677e-12\n 4.72201809e-12 2.36620218e-05 1.01380603e-11 2.79713620e-12\n 1.89091050e-12 4.38692589e-05 3.40093163e-13 1.49533407e-13\n 4.58327061e-12 4.21796802e-03 2.70303273e-11 4.69454797e-12\n 5.03116606e-02 5.64226518e-03 4.99702466e-12 5.64226518e-03\n 2.51325154e-03 3.86152451e-03 5.60818580e-12 1.45509672e-01\n 5.84050712e-12 8.63720674e-02 5.79562139e-12 3.39157195e-12\n 9.13826406e-11 9.13889414e-11 9.14065812e-11 9.13816946e-11\n 9.13917732e-11 4.21378836e-10 6.85524810e-11 7.13730773e-11\n 8.33301742e-11 7.35798133e-11 6.88712962e-11 6.86934806e-11\n 1.43233969e-10 1.66638435e-09 1.42415049e-10 1.37016422e-10\n 1.37038659e-10 1.37050152e-10 3.91951054e-11 3.91993248e-11\n 3.92033021e-11 3.92270208e-11 3.92541364e-11 1.18045586e-10\n 3.91590250e-11 3.97446081e-11 3.91800708e-11 3.92528408e-11\n 5.37839804e-11 3.91931305e-11 3.91966603e-11 3.92026213e-11\n 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1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:14,0.27176713943481445,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2588,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,boeing1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:16,1.365792989730835,OPTIMAL,-358.94293635477436,-358.9429374197464,1.0649720252331463e-06,1.6691481094994445e-08,9.257022619278264e-16,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, 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4.75183441e-13 1.59073697e-12\n 1.59115148e-12 5.27675759e-13 4.79637556e-13 1.88819067e-12\n 1.56549384e-12 4.90190427e-13 5.46401781e-02 6.21943013e-13\n 5.09363899e-12 4.77672074e-13 5.56528777e-01 5.60492964e-13\n 1.63088160e-12 4.80695123e-13 5.85296114e-13 1.60209669e-12\n 1.57774120e-12 4.85976511e-13 7.40445017e-13 1.64786782e-12\n 1.55895537e-12 5.93803351e-13 6.89478424e-01 5.19406060e-13\n 4.76002468e-13 2.40264203e-12 1.58948783e-12 8.40781617e-13\n 3.02710648e-02 2.88631072e-13 1.63139680e-12 5.19930301e-13\n 5.00987027e-12 2.86621194e-13 1.61736646e-12 7.65461946e-13\n 4.82614514e-13 4.96612276e-13 4.79939910e-13 2.03533476e+00\n 4.93805185e-13 7.28906928e-12 4.82691199e-13]"", ""info"": {""exitFlag"": 0, ""pcost"": 324.8436280153264, ""dcost"": 324.84362801540317, ""pres"": 2.789069467670771e-15, ""dres"": 2.5561011185846937e-15, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 1.0157299458176834, ""dinfres"": NaN, ""gap"": 5.02760001913654e-08, ""relgap"": 1.5476985187772085e-10, ""r0"": 1e-08, ""iter"": 20, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.0025412499999999997, ""tsetup"": 0.000240125, ""tsolve"": 0.002301125}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2596,cvxpy_osqp,unknown,NETLIB,boeing2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:22,0.09058618545532227,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2597,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,boeing2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:23,0.5275931358337402,OPTIMAL,-324.8436288062453,-324.84363058652394,1.7802786373977142e-06,1.329262462274203e-09,6.87245963936681e-15,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -324.84363058652394, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2598,cvxpy_sdpa,unknown,NETLIB,boeing2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:24,0.02117776870727539,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2599,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,boeing2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:24,0.014008760452270508,OPTIMAL,-324.8436280152029,-324.84362801520285,-5.684341886080802e-14,0.9951224607726539,4.8273449295642785e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -324.84362801520285, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2600,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,boeing2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:25,0.0047740936279296875,OPTIMAL,-324.8436280152029,-324.84362801520285,-5.684341886080802e-14,4.3431867495320903e-16,2.96225006077286e-18,132,"{""solver_solve_time"": 0.0016517527401447296, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -324.84362801520285, ""solver_stats"": {""solve_time"": 0.0016517527401447296, ""num_iters"": 132, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2601,scipy_linprog,scipy-1.15.3,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:25,0.003108978271484375,OPTIMAL,730.0388779884927,,,0.0,,33,"{""solver_solve_time"": 0.003108978271484375, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 730.0388779884927, ""scipy_nit"": 33, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2602,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:26,0.007255077362060547,OPTIMAL,730.0389002811955,730.0388963502697,3.930925799977558e-06,1.3223721997225109e-08,3.006589594794165e-14,19,"{""solver_solve_time"": 0.004412085, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 730.0388963502697, ""solver_stats"": {""solve_time"": 0.004412085, ""num_iters"": 19, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2603,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:28,1.300018072128296,OPTIMAL,1301.736754097031,1301.7466623122182,-0.00990821518712437,1.3921757115328975e-06,4.158236498495316e-06,81100,"{""solver_solve_time"": 1.2968574160000002, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1301.7466623122182, ""solver_stats"": {""solve_time"": 1.2968574160000002, ""setup_time"": 0.000498541, ""num_iters"": 81100, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 5.36826106e-01 7.33144044e+04 -4.77692410e+01\n 7.95194203e+04 9.33751074e+03 7.32759230e+04 2.62205236e+04\n 2.52539068e+04 -4.87989344e+01 6.62593503e+03 -2.82814780e+01\n 4.43717551e+00 2.73930335e+03 -1.71363929e+01 2.72355717e+03\n 8.14365014e+04 -3.68521992e+01 -6.70425752e+01 -3.70755389e+01\n 1.05633879e+00 8.59834718e+03 2.96085003e+00 9.81438701e-01\n 1.08120497e+01 1.08125973e+01 9.97755127e-01 1.08113966e+01\n -2.99794168e+04 4.21533415e+00 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1.26532176e-07 1.88119330e-08\n 4.46149602e-08 3.82280076e-08 2.33777694e+02 1.44853318e+02\n 8.25661433e+01 2.09373193e+02 1.08259027e+01 1.38166025e+01\n 4.79052859e+02 1.12018118e-07 1.33014692e+02 5.20095531e+02\n 1.65235625e-07 1.65435492e-08 2.42740447e-06 6.88335011e-08\n 7.67203978e+01 1.03230965e+02 1.37884329e+02 1.28828288e-07\n 2.08152142e+00 1.52125344e+00 1.56764999e-08 1.09767283e-05\n 5.74593610e-08 1.53068057e-07 3.82276165e-08 1.01669474e-01\n 3.60689906e-11 9.58305298e-02 6.76658492e-07 7.88302734e-09\n 2.65982048e-01 2.44825011e-07 3.81424702e-07 5.17847110e-09\n 1.75738677e-08 6.27545858e-10 1.44049092e-08 3.67650846e-01\n 1.70152194e-01 1.26880990e-10 7.28184567e-09 1.45495269e-01\n 7.59361978e-08 1.37018686e-07 9.71853234e+01 4.20023427e-08\n 7.21672307e-10 3.61182167e-08 4.10442966e-11 1.13849833e+02\n 2.19845015e-08 5.62476690e-07 5.62284366e-11 5.30931827e+01\n 5.30931823e+01 9.74050482e+01 9.74108872e+01 9.75067170e+01\n 1.23338641e-03 2.84087731e-03 3.57472459e-03 2.81796082e-10\n 8.33318534e-03 2.35676441e-03 3.57705900e-03 4.62670386e-03\n 1.01225041e+02 8.06036249e-08 1.00297459e-07 5.35778139e+01\n 3.73203657e+01 3.20014482e+02 1.01211683e+02 7.41246692e-08\n 7.59295578e-08 8.97561574e+01 9.15443838e+01 8.51931431e+01\n 8.77433330e+01 1.26579815e+02 7.00577622e+01 8.76476341e-09\n 3.34291581e-07 6.18297036e+00 1.41306185e+02 4.22699925e+01\n 4.26668573e+01 1.01202522e+02 8.21421905e-09 9.57523223e+01\n 6.00756414e-07 1.04393769e+01 1.01859648e+02 9.96641190e+00\n 9.87310652e+00 8.94602059e+01 9.58243160e+00 1.49655182e+01\n 1.03369294e+02 9.31398837e+01 3.06582336e-09 2.96671257e-09\n 3.09037344e-09 2.96671900e-09 2.96671890e-09 2.96671347e-09\n 3.02627414e-09 2.98227004e-09 2.97777341e-09 2.97035225e-09\n 2.99055844e-09 9.88666588e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": -730.0388934219395, ""dcost"": -730.0388964302605, ""pres"": 2.939254208566491e-11, ""dres"": 7.856876058436105e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.1207129710703424, ""gap"": 1.9466017935726266e-06, ""relgap"": 2.666435735291095e-09, ""r0"": 1e-08, ""iter"": 21, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.003156832, ""tsetup"": 0.000247416, ""tsolve"": 0.002909416}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2605,cvxpy_osqp,unknown,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:29,0.08608174324035645,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2606,cvxpy_cvxopt,unknown,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:30,0.016616106033325195,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2607,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:31,0.035765886306762695,OPTIMAL (INACCURATE),730.085240577329,729.9457880814488,0.13945249588027764,1.6906256915092322e-09,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 729.9457880814488, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2608,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:31,0.011766910552978516,OPTIMAL,-10.948650659140247,730.0388779884929,-740.9875286476332,34.411649903812155,1.0977550128940245e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 730.0388779884929, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2609,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:32,0.004776954650878906,OPTIMAL,730.0388779884927,730.0388779884928,-1.1368683772161603e-13,7.576701253427782e-15,8.081696684435528e-20,44,"{""solver_solve_time"": 0.0011997073888778687, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 730.0388779884928, ""solver_stats"": {""solve_time"": 0.0011997073888778687, ""num_iters"": 44, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2610,scipy_linprog,scipy-1.15.3,NETLIB,brandy,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:33,0.005464792251586914,OPTIMAL,1518.5098964881286,,,0.0,,215,"{""solver_solve_time"": 0.005464792251586914, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1518.5098964881286, ""scipy_nit"": 215, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2611,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,brandy,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:33,0.0064470767974853516,OPTIMAL,1518.50989640699,1518.5098963874927,1.949729266925715e-08,3.255224455677193e-09,2.037065101904834e-10,14,"{""solver_solve_time"": 0.003719921, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1518.5098963874927, ""solver_stats"": {""solve_time"": 0.003719921, ""num_iters"": 14, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2612,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,brandy,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:35,0.9778540134429932,OPTIMAL,1518.519377865837,1518.519923617419,-0.0005457515819671244,1.0604569317198343e-05,0.0006363630622304591,49175,"{""solver_solve_time"": 0.974341208, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1518.519923617419, ""solver_stats"": {""solve_time"": 0.974341208, ""setup_time"": 0.000643, ""num_iters"": 49175, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-1.25728055e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n -3.60349973e-01 -4.46095655e-01 -1.00000008e+00 9.85080987e+00\n 9.20454048e+00 1.15116250e+01 8.43242293e+00 8.29433685e+00\n 8.03124564e+00 7.95250737e+00 7.28852721e+00 6.14070061e+00\n 6.18531752e+00 5.84497072e+00 6.49045435e+00 5.81697793e+00\n 8.25088827e+00 4.72508331e-01 1.09237151e+00 6.16859690e+00\n 7.71385051e+00 7.61277746e+00 7.64584401e+00 8.11721907e+00\n 8.01479037e+00 8.09537376e+00 8.19445390e+00 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7.75998965e-01 7.75998965e-01 7.75998965e-01 7.75998923e-01\n 7.75998965e-01 7.75998965e-01 7.75998965e-01 7.75998965e-01\n 7.75998965e-01 7.75998965e-01 7.75998946e-01 7.75998927e-01\n 7.75998940e-01 7.75998933e-01 2.48451676e-08]"", ""info"": {""exitFlag"": 0, ""pcost"": -1518.5098964269007, ""dcost"": -1518.5098964343042, ""pres"": 3.871812600215707e-12, ""dres"": 5.778973757249118e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.049298506049050485, ""gap"": 9.395105533539872e-07, ""relgap"": 6.187055847081956e-10, ""r0"": 1e-08, ""iter"": 14, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.0031053739999999997, ""tsetup"": 0.000319833, ""tsolve"": 0.002785541}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2614,cvxpy_osqp,unknown,NETLIB,brandy,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:36,0.14215588569641113,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2615,cvxpy_cvxopt,unknown,NETLIB,brandy,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:37,0.02856588363647461,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2616,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,brandy,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:38,0.040537118911743164,OPTIMAL,1518.510077329674,1518.5100773296742,-2.2737367544323206e-13,1.6987076348864e-11,5.507089614984283e-08,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1518.5100773296742, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2617,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,brandy,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:38,0.01810479164123535,OPTIMAL,0.0,1518.509896488124,-1518.509896488124,11.212645101271804,1.6296257048494826e-14,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1518.509896488124, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2618,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,brandy,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:39,0.006824970245361328,OPTIMAL,1518.5098964881279,1518.5098964881277,2.2737367544323206e-13,4.968215499081715e-15,6.624734809360032e-15,211,"{""solver_solve_time"": 0.003770750015974045, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1518.5098964881277, ""solver_stats"": {""solve_time"": 0.003770750015974045, ""num_iters"": 211, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2619,scipy_linprog,scipy-1.15.3,NETLIB,capri,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:40,0.007051944732666016,OPTIMAL,2690.012913768161,,,0.0,,206,"{""solver_solve_time"": 0.007051944732666016, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 2690.012913768161, ""scipy_nit"": 206, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2620,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,capri,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:40,0.013056039810180664,OPTIMAL,-1668.574949713911,2690.0129076282733,-4358.587857342184,1.887611137453117,1.2916371998892785e-11,29,"{""solver_solve_time"": 0.008937963, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 2690.0129076282733, ""solver_stats"": {""solve_time"": 0.008937963, ""num_iters"": 29, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2621,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,capri,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:42,0.9983839988708496,OPTIMAL,-1595.5677014052667,2707.927871488122,-4303.495572893389,1.9550875350215924,0.001487351254953623,28450,"{""solver_solve_time"": 0.992723958, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 2707.927871488122, ""solver_stats"": {""solve_time"": 0.992723958, ""setup_time"": 0.00088225, ""num_iters"": 28450, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-4.24090017e-01 9.99999285e-01 3.19408232e-02 -2.20949402e-01\n -1.88366458e-01 -9.67416384e-01 9.99357177e-01 -1.00015826e+00\n 2.79997489e-02 9.09090470e-01 -1.60693385e-01 -8.81417620e-01\n 9.09417126e-01 -9.09130186e-01 2.42739901e-02 8.26616268e-01\n -1.36824009e-01 -8.03236026e-01 8.26957000e-01 -8.27136147e-01\n 2.13803610e-02 7.51510304e-01 -1.15877452e-01 -7.31161813e-01\n 7.51818011e-01 -7.52168972e-01 1.94706990e-02 6.83214475e-01\n -9.68140865e-02 -6.64768791e-01 6.83441604e-01 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3.85450104e+00\n 3.91985136e-09 7.67454185e-09 7.33658191e-01 1.63098348e+00\n 5.95693704e+00 2.05217432e-10 2.52912883e-09 4.14300665e-09\n 5.94498050e-09 8.05937304e+00 1.63580899e-10 2.82193281e-10\n 3.78079765e+00 1.01618090e+01 7.35174706e-08 4.71921178e-09\n 5.19036268e-09 1.52552665e+03 7.93336608e-08 5.71128800e-09\n 1.85710126e+03 8.79905929e-08 6.28002594e-09 2.20147060e+03\n 9.53357799e-08 6.90542130e-09 2.58090167e+03 1.03777103e-07\n 7.59916171e-09 3.01840246e+03 1.12814956e-07 8.36264204e-09\n 3.34001218e+03 1.22570073e-07 9.20746934e-09 3.74751312e+03\n 1.33662053e-07 1.01359517e-08 4.22957914e+03 1.46379938e-07\n 1.11597705e-08 4.74564821e+03 1.62543833e-07 5.29634682e+03\n 1.24032604e-09 1.24605795e-08 4.14802963e-08 5.23986088e-01\n 7.14340279e-01 9.09521549e-09 6.95382464e-10 1.70871358e-08\n 2.88358123e-08 7.57432430e-01 1.29340373e+00 9.13322440e-09\n 1.38415754e-09 1.81115306e-08 5.64161071e-09 6.68625246e-01\n 1.37189390e+00 1.01741190e-08 4.53685534e-11 1.72747343e-08\n 1.14051067e+00 6.87324368e-01 4.80700510e-10 1.09766900e-08\n 2.76794174e-06 2.64453507e-09 5.26183779e-09 1.30886762e+00\n 1.51985000e+00 9.28404113e-09 2.16515159e-08 4.58840610e-01\n 1.51984999e+00 7.91732770e-02 1.17318261e-01 2.24610051e-01\n 9.53026895e-01 9.90007220e-02 1.37085171e-01 2.28208363e-01\n 6.67781631e-01 1.05449051e-09 1.42016655e-09 2.11365140e-09\n 4.65464673e-09 1.83316778e-09 1.91671047e-09 2.07227537e-09\n 2.10243008e-09 1.68029569e-07 6.19033644e-09 5.11671537e-01\n 1.70408000e+00 1.63966000e+00 6.08468109e-09 1.31621106e-08\n 1.36572453e+00 1.63965999e+00 1.45303405e-01 2.38408290e-01\n 6.30058286e-01 1.33843046e+00 2.03733425e-01 2.75126904e-01\n 4.65101912e-01 9.91250621e-01 1.06422364e-09 1.43572961e-09\n 2.13822624e-09 4.71522265e-09 1.84690919e-09 1.93398177e-09\n 2.09407544e-09 2.12808338e-09 2.04107890e+02 6.66247164e-09\n 9.51441571e-01 1.83784999e+00 1.76837000e+00 1.86707113e-09\n 1.01414566e-01 1.83785000e+00 1.76837000e+00 1.45815219e-01\n 2.71090380e-01 1.03523782e+00 1.55448964e+00 2.47798285e-01\n 3.48410355e-01 6.52339218e-01 1.25321943e+00 1.19212911e-09\n 1.61328659e-09 2.40579996e-09 5.31493318e-09 2.03672997e-09\n 2.17596420e-09 2.40715395e-09 2.52249776e-09 2.04107890e+02\n 5.44782135e-09 1.76274356e+00 1.98294999e+00 1.90798000e+00\n 3.57488283e-01 1.13828789e+00 1.72728096e+00 1.74120991e+00\n 1.88260964e-01 3.61195070e-01 1.73322662e+00 1.78143498e+00\n 8.75320197e-11 1.60082420e-10 1.27353829e+00 1.90798000e+00\n 1.29187174e-09 1.75591319e-09 2.62378321e-09 5.82191931e-09\n 2.18642027e-09 2.38358425e-09 2.70986596e-09 3.10886789e-09\n 9.99999999e+00 8.96919213e+00 8.64174288e+00 8.68347778e+00\n 1.00000000e+01 9.80000400e+00 1.00000000e+01 8.64951187e+00\n 5.49901974e+00 1.00000000e+01 9.19999601e+00 1.00000000e+01\n 8.96931047e+00 7.73862494e+00 1.00000000e+01 1.00000000e+01\n 1.00000000e+01 8.58006303e+00 7.16012606e+00 1.00000000e+01\n 9.99999998e-01 9.99999995e-01 1.00513532e-08 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""info"": {""exitFlag"": 0, ""pcost"": -2690.0129123436395, ""dcost"": -2690.012912349446, ""pres"": 2.3069791994984514e-13, ""dres"": 5.532258809080895e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.004326683592205295, ""gap"": 1.1712330399360337e-06, ""relgap"": 4.3540052709844123e-10, ""r0"": 1e-08, ""iter"": 27, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.007032375, ""tsetup"": 0.000401875, ""tsolve"": 0.0066305}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2623,cvxpy_osqp,unknown,NETLIB,capri,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:44,0.1989731788635254,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2624,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,capri,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:45,1.1329660415649414,OPTIMAL,-1668.5746492347303,2690.012673582414,-4358.587322817144,1.8876110484367359,6.948313056448121e-10,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 2690.012673582414, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2625,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,capri,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:47,0.09108304977416992,OPTIMAL,-1668.5734688621449,2690.013979434958,-4358.587448297103,1.8876110522455485,2.9604262370535237e-08,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", 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""optimal"", ""cvxpy_value"": 2690.0129137681606, ""solver_stats"": {""solve_time"": 0.0058605000376701355, ""num_iters"": 319, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2628,scipy_linprog,scipy-1.15.3,NETLIB,cycle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:50,0.1452951431274414,OPTIMAL,-5.226393024894103,,,0.0,,2465,"{""solver_solve_time"": 0.1452951431274414, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2633,cvxpy_cvxopt,unknown,NETLIB,cycle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:30,0.4676940441131592,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. 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""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:39,1.54160475730896,OPTIMAL,2185092.9420653596,2185075.237951545,17.70411381451413,1.2029048171984779e-05,9.895562102289736e-09,16075,"{""solver_solve_time"": 1.513284375, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 2185075.237951545, ""solver_stats"": {""solve_time"": 1.513284375, ""setup_time"": 0.005108458, ""num_iters"": 16075, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 1.02166588e+00 1.00255915e+02 1.23583759e-02 ... -1.12115225e+02\n -1.11839943e+02 -1.31366510e+02]"", ""y"": ""[ 0. 0. 80.99995409 ... 0. 0.\n 0. ]"", ""s"": ""[2.16658811e-02 8.79918533e-01 0.00000000e+00 ... 1.12115225e+02\n 1.11839943e+02 1.31366510e+02]"", ""info"": {""status_val"": 1, ""iter"": 16075, ""scale_updates"": 0, ""scale"": 0.1, ""pobj"": -2185075.2379515455, ""dobj"": -2185092.942065359, ""res_pri"": 0.3829501719894735, ""res_dual"": 0.029603643786025823, ""gap"": 17.704113813683023, ""res_infeas"": NaN, ""res_unbdd_a"": 0.00014062674354830824, ""res_unbdd_p"": 0.0, ""comp_slack"": 1.521034367114897e-07, ""solve_time"": 1513.284375, ""setup_time"": 5.108458, ""lin_sys_time"": 1169.3544909999996, ""cone_time"": 98.63412199999948, ""accel_time"": 36.9058380000001, ""rejected_accel_steps"": 145, ""accepted_accel_steps"": 3, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2640,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,czprob,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:40,0.06274890899658203,OPTIMAL,2185196.6991403187,2185196.69884002,0.00030029844492673874,4.4270729907644254e-10,2.7227072498628807e-17,42,"{""solver_solve_time"": 0.035465958, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 2185196.69884002, ""solver_stats"": {""solve_time"": 0.035465958, ""setup_time"": 0.003446333, ""num_iters"": 42, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 1.01324984e+00 1.42480973e-06 -1.92494542e-10 ... -3.92619700e+01\n -3.92038049e+01 -3.96401968e+01]"", ""y"": ""[]"", ""z"": ""[3.95335707e-06 4.77766872e-08 8.10000000e+01 ... 1.32383410e-09\n 1.32613431e-09 1.31132893e-09]"", ""s"": ""[1.32498432e-02 1.07630844e+00 6.44033984e-10 ... 3.92619700e+01\n 3.92038049e+01 3.96401968e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": -2185196.698840018, ""dcost"": -2185196.6991403177, ""pres"": 4.13474687566728e-14, ""dres"": 1.5081217276020473e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.14009037701700058, ""gap"": 0.0032681881168615664, ""relgap"": 1.4956036308294077e-09, ""r0"": 1e-08, ""iter"": 42, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.038912291, ""tsetup"": 0.003446333, ""tsolve"": 0.035465958}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2641,cvxpy_osqp,unknown,NETLIB,czprob,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:41,0.6164300441741943,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2642,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,czprob,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:53,11.250818967819214,OPTIMAL,2185196.700659052,2185196.6986043295,0.0020547225140035152,2.2243063098700223e-08,4.155497042960183e-17,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 2185196.6986043295, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2643,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,czprob,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:55,0.3109130859375,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2644,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,czprob,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:56,0.10990691184997559,OPTIMAL,2185196.6988565773,2185196.6988565773,0.0,3.43573985046646,4.489398914005869e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 2185196.6988565773, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2645,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,czprob,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:57,0.07273221015930176,OPTIMAL,2185196.6988565773,2185196.6988565773,0.0,1.0623612582448857e-16,1.4299215364647909e-21,1058,"{""solver_solve_time"": 0.03915233165025711, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 2185196.6988565773, ""solver_stats"": {""solve_time"": 0.03915233165025711, ""num_iters"": 1058, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2646,scipy_linprog,scipy-1.15.3,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:47:01,1.2655320167541504,OPTIMAL,122784.21081418936,,,0.0,,5696,"{""solver_solve_time"": 1.2655320167541504, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 122784.21081418936, ""scipy_nit"": 5696, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2647,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:47:03,0.9904937744140625,OPTIMAL,122784.21084970619,122784.21082144929,2.8256894438527524e-05,3.104375925270556e-10,2.5013512239527817e-14,29,"{""solver_solve_time"": 0.903016581, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 122784.21082144929, ""solver_stats"": {""solve_time"": 0.903016581, ""num_iters"": 29, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2648,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:48:02,56.792842864990234,OPTIMAL (INACCURATE),122878.99182502563,122915.12910172241,-36.137276696783374,1.7150751533022947e-06,8.880457206557663e-07,100000,"{""solver_solve_time"": 56.696093, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 122915.12910172241, ""solver_stats"": {""solve_time"": 56.696093, ""setup_time"": 0.01682725, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-4.26097450e-01 -1.07262402e+00 6.95192665e-04 ... -1.19505944e-04\n -1.76024092e-01 -5.17444307e-04]"", ""y"": ""[0.00000000e+00 0.00000000e+00 1.36017334e+05 ... 3.91468392e+02\n 0.00000000e+00 6.40405310e+01]"", ""s"": ""[0.35063507 0.50099939 0. ... 0. 0.17602409 0. ]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 2, ""scale"": 1.1430079577683727, ""pobj"": -122915.12910172241, ""dobj"": -122878.99182502563, ""res_pri"": 0.11465819114649636, ""res_dual"": 0.009014469840703749, ""gap"": 36.137276696785165, ""res_infeas"": NaN, ""res_unbdd_a"": 0.0005498198652095697, ""res_unbdd_p"": 0.0, ""comp_slack"": 4.9459718653604595e-11, ""solve_time"": 56696.093, ""setup_time"": 16.82725, ""lin_sys_time"": 51805.34828300001, ""cone_time"": 1938.06143700008, ""accel_time"": 441.1049890001491, ""rejected_accel_steps"": 907, ""accepted_accel_steps"": 0, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2649,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:48:04,0.4611849784851074,OPTIMAL,122784.21105338947,122784.21103157868,2.1810788894072175e-05,2.106354658180935e-10,3.1418873914921413e-11,29,"{""solver_solve_time"": 0.354014458, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 122784.21103157868, ""solver_stats"": {""solve_time"": 0.354014458, ""setup_time"": 0.0054235, ""num_iters"": 29, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-4.17447992e-01 -1.02766704e+00 -1.29572292e-09 ... 1.34286505e-10\n -1.51786643e-01 -5.41921640e-02]"", ""y"": ""[]"", ""z"": ""[1.47099608e-08 1.02937800e-08 1.33344526e+05 ... 4.02638147e+02\n 3.38581205e-08 9.45902452e-08]"", ""s"": ""[3.50450000e-01 5.00950000e-01 3.95709877e-14 ... 1.28283746e-11\n 1.51786643e-01 5.41921640e-02]"", ""info"": {""exitFlag"": 0, ""pcost"": -122784.21103157882, ""dcost"": -122784.2110533895, ""pres"": 2.381652407296783e-10, ""dres"": 1.920503571655522e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.6719395668927524, ""gap"": 0.0009480923827937189, ""relgap"": 7.721614813731053e-09, ""r0"": 1e-08, ""iter"": 29, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.359437958, ""tsetup"": 0.0054235, ""tsolve"": 0.354014458}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2650,cvxpy_osqp,unknown,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:48:10,4.5232157707214355,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2651,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:12,60.1233069896698,OPTIMAL,122784.21083311932,122784.21084043573,-7.316411938518286e-06,1.7867031374140482e-08,5.6113042303175815e-15,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 122784.21084043573, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2652,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:16,1.1396369934082031,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2653,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:22,3.9410288333892822,OPTIMAL,122087.27749379392,122784.21081418956,-696.9333203956339,1.8311578524867687,7.2963014661543715e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 122784.21081418956, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2654,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:26,1.371077060699463,OPTIMAL,122784.21081418949,122784.21081418947,1.4551915228366852e-11,1.6366435887025938e-14,1.699412194322411e-18,5801,"{""solver_solve_time"": 1.2522062510252, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 122784.21081418947, ""solver_stats"": {""solve_time"": 1.2522062510252, ""num_iters"": 5801, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2655,scipy_linprog,scipy-1.15.3,NETLIB,d6cube,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:28,0.20762991905212402,OPTIMAL,314.4916666666666,,,4.509362795388101e-13,,441,"{""solver_solve_time"": 0.20762991905212402, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 314.4916666666666, ""scipy_nit"": 441, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2656,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,d6cube,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:31,1.5070621967315674,OPTIMAL (INACCURATE),314.4916782710763,314.4916683734365,9.897639813516435e-06,1.8288604051931577e-09,7.739219204708392e-12,20,"{""solver_solve_time"": 1.465675749, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 314.4916683734365, ""solver_stats"": {""solve_time"": 1.465675749, ""num_iters"": 20, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2657,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,d6cube,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:43,10.916590929031372,OPTIMAL,314.490472959322,314.48789782592826,0.0025751333937478194,3.830465976858626e-06,7.763087083219077e-09,30075,"{""solver_solve_time"": 10.864000707999999, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 314.48789782592826, ""solver_stats"": {""solve_time"": 10.864000707999999, ""setup_time"": 0.018946416, ""num_iters"": 30075, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 2.67258322e-01 3.62576492e-01 1.86545634e-01 3.01496936e-01\n -1.65410624e-02 2.33185926e-01 1.39044476e-01 3.83875005e-01\n 3.78898216e-01 3.21801266e-01 2.41388686e-02 1.85727682e-01\n -2.93567487e-02 6.13465473e-01 1.97761642e-01 6.13611839e-01\n 3.32210144e-01 2.83426267e-01 2.77812213e-01 2.35047688e-01\n 9.20807216e-03 2.28801136e-01 4.58535539e-02 3.70804448e-01\n 3.51532667e-01 3.65102608e-01 3.45714301e-01 2.59021945e-01\n 3.68866932e-01 4.11819478e-01 2.35008569e-01 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0.9374859261876691, ""gap"": 6.240375219797453e-05, ""relgap"": 1.9842736172244662e-07, ""r0"": 1e-08, ""iter"": 20, ""mi_iter"": -1, ""infostring"": ""Close to optimal solution found"", ""timing"": {""runtime"": 0.144690333, ""tsetup"": 0.0050905, ""tsolve"": 0.139599833}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2659,cvxpy_osqp,unknown,NETLIB,d6cube,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:48,2.404860258102417,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2660,cvxpy_cvxopt,unknown,NETLIB,d6cube,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:49,0.3341350555419922,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2661,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,d6cube,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:51,0.47537708282470703,OPTIMAL (INACCURATE),314.4943371086832,314.4915872920882,0.0027498165950419207,3.767994795627059e-09,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 314.4915872920882, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2662,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,d6cube,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:55,3.332066059112549,OPTIMAL,314.49166666666633,314.4916666666666,-2.8421709430404007e-13,1.5767643411109137e-16,5.93537800165012e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 314.4916666666666, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2663,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,d6cube,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:58,1.758065938949585,OPTIMAL,314.4916666666646,314.4916666666668,-2.1600499167107046e-12,7.390221222193928e-16,2.871616054718561e-17,10829,"{""solver_solve_time"": 1.7364383339881897, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 314.4916666666668, ""solver_stats"": {""solve_time"": 1.7364383339881897, ""num_iters"": 10829, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2664,scipy_linprog,scipy-1.15.3,NETLIB,degen2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:58,0.018481731414794922,OPTIMAL,-1435.1779999999997,,,0.0,,595,"{""solver_solve_time"": 0.018481731414794922, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -1435.1779999999997, ""scipy_nit"": 595, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2665,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,degen2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:59,0.01826310157775879,OPTIMAL,-1435.1780009401546,-1435.1779999988144,-9.413402040081564e-07,7.419815498181331e-10,2.8794946049641933e-14,12,"{""solver_solve_time"": 0.013127415, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -1435.1779999988144, ""solver_stats"": {""solve_time"": 0.013127415, ""num_iters"": 12, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2666,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,degen2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:00,0.19362878799438477,OPTIMAL,-1435.1841470885424,-1435.1777528504094,-0.006394238132997998,1.2118770490138398e-05,1.5087391526033264e-09,3100,"{""solver_solve_time"": 0.18772125, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -1435.1777528504094, ""solver_stats"": {""solve_time"": 0.18772125, ""setup_time"": 0.002068833, ""num_iters"": 3100, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 7.70283867e+00 6.00426180e+00 4.16717553e+00 -2.27646789e+00\n 9.32596404e+00 -1.07613447e+01 -3.57254116e+00 5.21232596e+00\n -2.41726986e+00 -1.34312375e+01 -1.04301995e+01 -1.29200558e+00\n -1.66848557e+00 3.05421061e-01 -7.69367987e+00 3.57870021e+00\n -7.52193723e+00 -2.85931033e-01 -6.92148058e+00 -1.48670345e+01\n -6.74955000e+00 -7.52744699e+00 2.23667736e+00 5.53224228e+00\n -5.84548459e+00 1.10626076e+00 -8.04554816e+00 -6.34103183e+00\n 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9.99999999e-01 1.16340193e-09 3.12284584e-10 7.06649182e-10\n 3.26560947e-09 9.99999996e-01 2.26891856e-09 5.92193691e-09\n 9.99999992e-01 7.64155351e-10 2.45934053e-09 9.99999997e-01\n 2.55977049e-09 1.01745848e-09 9.99999997e-01 3.97550266e-10\n 5.58333257e-10 9.99999999e-01 9.99999999e-01 2.22752101e-10\n 6.80127221e-10 1.21013928e-10 1.00000000e+00 1.20124314e-08\n 1.08764176e-09 9.99999987e-01 1.00000000e+00 2.10617339e-10\n 2.08816222e-10 7.99999998e-01 2.00000002e-01 5.10503259e-10\n 1.65679354e-08 1.43755768e-07 9.99999840e-01 3.82871934e-09\n 1.91275206e-10 9.99999996e-01 7.99999998e-01 1.99999997e-01\n 5.25071704e-09 3.80987955e-09 1.24655643e-10 9.99999996e-01\n 2.97431716e-10 1.33109569e-09 9.99999999e-01 1.00000000e+00\n 2.47831428e-10 1.00325232e-10 1.72498635e-10 3.72891835e-10\n 1.00000000e+00 9.99999999e-01 4.01387696e-10 4.78213341e-10\n 7.91616491e-10 2.46694238e-09 9.99999997e-01 7.99999998e-01\n 2.00000002e-01 4.45002612e-10 1.00000000e+00 2.97338620e-10\n 3.93408118e-10 1.00000000e+00 9.50260054e-11 8.84906652e-11\n 9.99999995e-01 3.05838099e-10 4.64011442e-09 1.15085174e-10\n 1.00000000e+00 1.34663738e-10 1.90313294e-10 1.99999993e-01\n 8.00000007e-01 2.21511971e-09 5.20448608e-10 9.99999998e-01\n 9.99999992e-01 8.08277095e-09 4.57184269e-10 3.49306848e-09\n 1.17001269e-10 9.99999997e-01 8.77257066e-10 9.99999979e-01\n 2.01983059e-08 9.99999980e-01 2.62744578e-10 2.02039865e-08\n 7.21806898e-10 9.99999979e-01 2.01914893e-08 8.48793370e-10\n 9.99999979e-01 2.00763327e-08 1.00000000e+00 2.43474115e-10\n 2.81818886e-10 2.36480573e-10 9.99999844e-01 1.56522398e-07\n 1.00000000e+00 1.60939594e-10 1.82167084e-10 3.30906335e-09\n 1.65285064e-10 9.99999997e-01 9.99999999e-01 7.53041084e-10\n 3.31033910e-10 8.00000003e-01 1.99999996e-01 1.96845084e-09\n 9.99999998e-01 1.88674630e-10 1.74578810e-09 3.06881060e-10\n 9.99999843e-01 1.56555883e-07 9.99999995e-01 2.78619301e-10\n 4.62913043e-09 1.02761046e-10 6.21658100e-09 9.99999994e-01\n 1.99999993e-01 4.00865680e-10 8.00000007e-01 5.67137526e-09\n 3.01056866e-10 9.99999994e-01 2.99226417e-09 1.50365943e-09\n 9.99999996e-01 2.88048090e-09 1.50003181e-09 9.99999996e-01\n 5.34399604e-09 9.99999995e-01 1.24960343e-10 1.00000000e+00\n 9.99999999e-01 1.16323300e-09 1.20154322e-10 6.86658350e-10\n 9.99999999e-01 2.58198000e-10 1.74708662e-08 1.47017983e-07\n 9.99999836e-01 7.07306462e-10 9.99999999e-01 2.04047025e-10\n 1.74069648e-08 1.47027563e-07 9.99999836e-01 9.99999999e-01\n 6.89664894e-10 2.25189630e-10 9.99999999e-01 1.59783373e-10\n 1.68729042e-09 9.99999999e-01 1.12915234e-09 2.94847832e-10\n 1.00000000e+00 3.71996906e-10 1.97816059e-10 1.28271893e-08\n 9.99999987e-01 3.31982114e-10 9.99999996e-01 2.58000727e-10\n 3.82800356e-09 9.99999998e-01 4.41125845e-10 2.38532054e-09\n 3.11988548e-10 1.32075115e-09 9.99999999e-01 1.00000000e+00\n 5.89277685e-11 1.00207636e-10 3.35930527e-10 4.97613783e-11\n 5.28418953e-11 6.01871106e-11 4.28211558e-11 3.99009901e-11\n 1.78347786e-10 6.72190527e-11 4.52435655e-11 1.00000000e+00\n 1.30426661e-10 2.88905289e-10 2.15065473e-10 4.76378628e-11\n 4.89523124e-11 1.80000000e+00 1.99999996e-01 6.72827646e-11\n 5.95487735e-11 4.08375170e-11 1.27144700e-10 6.41433867e-11\n 2.36712242e-11 2.83299814e-10 8.51548556e-11 1.68989176e-10\n 1.65301315e-10 1.12789913e-10 1.66765055e-10 1.12993914e-10\n 3.72633786e-11 5.99212221e-11 7.43443556e-11 7.86736750e-11\n 9.07256550e-11 4.00000001e+00 9.99999994e-01 2.00000000e+00\n 1.00000000e+00 4.22398065e-11 4.43670150e-11 3.02446673e-10\n 5.83645468e-11 1.37541963e-10 3.62343290e-11 8.27348305e-11\n 5.53715482e-11 5.38337784e-11 3.92733064e-11 1.07246598e-10\n 3.96763090e-11 9.05393873e-11 1.18143362e-10 4.11385535e-11\n 5.43332389e-11 2.00000000e+00 7.61030700e-11 3.47981322e-09\n 3.30137947e-11 4.60889064e-11 4.26192744e-11 4.80531582e-11\n 4.31865171e-11 1.19842076e-10 7.15276622e-11 1.09638411e-10\n 7.06057898e-11 7.78891247e-11 5.07548733e-11 5.58410376e-11\n 9.69745631e-11 8.59597320e-11 2.84371573e-10 1.15221585e-10\n 7.64602017e-11 3.11130898e-10 1.13252455e-10 2.68582663e-10\n 3.34675172e-11 1.58721282e-10 4.22208325e-11 6.67581212e-11\n 3.16080145e-11 4.46362664e-11 1.05604260e-10 1.33641459e-10\n 1.11748773e-10 7.72880645e-11 5.28489859e-11 5.88911736e-11\n 1.07912496e-10 1.04315086e-10 1.20104314e-10 7.99999998e-01\n 1.29199114e-10 1.07817141e-10 2.45729525e-10 1.03708698e-10\n 9.70184182e-09 1.00507479e-08 9.99999997e-01 1.20000000e+00\n 7.56816754e-11 9.47538841e-11 5.66222468e-11 1.15499756e-10\n 1.68916009e-10 9.99999990e-01 3.19430094e-09 5.30448686e-10\n 1.59718166e-10 1.61984134e-10 6.20831635e-11 1.45333193e-10\n 9.99999990e-01 1.49298961e-10 4.97427683e-10 1.63387232e-10\n 9.50332810e-11 9.84314405e-11 8.19938428e-11 8.48842902e-11\n 5.31770714e-11 6.64476465e-11 1.31924643e-10 1.60197729e-10\n 6.01552961e-10 2.07327745e-10 4.95407989e-11 5.06174398e-10\n 6.08888148e-10 5.63201251e-11 3.32339551e-10 5.17048412e-11\n 1.64942630e-10 6.21664319e-11 1.85810744e-10 1.15841521e-10\n 6.24319594e-10 5.42567934e-11 6.75343937e-11 3.29220082e-11\n 5.94629482e-11 1.51081992e-10 1.80000001e+00 6.38375351e-11\n 3.25201152e-11 1.99999992e-01 9.26799765e-10 7.46637673e-11\n 2.49373292e-10 3.25244964e-10 1.96562326e-10 4.31943474e-10\n 9.63104198e-11 1.27485736e-10 1.20090412e-10 1.65877328e-10\n 5.03362429e-11 3.66565173e-10 1.60835846e-10 9.23201715e-11\n 1.75261026e-10 5.49489437e-11 2.24581744e-10 2.76998608e-10\n 1.00000000e+00 2.34328120e-10 2.81873271e-10 1.02974395e-10\n 1.00000000e+00 3.00000001e+00 4.00000001e+00 5.34632083e-11\n 1.00000000e+00 8.08388830e-11 1.06244201e-10 1.13019465e-10\n 1.91431954e-10 9.99999990e-01 1.17252158e-10 1.29705050e-10\n 5.66611875e-11 1.06558738e-10 1.00416880e-10 7.87803779e-11\n 4.60207756e-11 7.21287072e-11 6.38834821e-11 5.94072436e-11\n 5.53993859e-11 9.31820163e-11 2.67108159e-11 3.45587821e-11\n 1.19922390e-10 5.00000001e+00 9.99999996e-01 1.59333272e-09\n 3.96916724e-10 2.31721299e-10 1.71320795e-09 1.01734617e-10\n 1.23446498e-09 1.38528274e-09 7.75891523e-11 1.00000000e+00\n 2.00000000e+00 9.99999994e-01 9.99999995e-01 5.57880229e-09\n 5.28482168e-10 1.57491424e-10 1.17663261e-09 4.54761820e-11\n 5.85863886e-10 1.00312458e-10 1.77707132e-10 1.79810442e-10\n 1.12442029e-10 1.00000000e+00 1.00000000e+00 6.71761489e-10\n 1.68267385e-10 1.46410994e-10 1.39208818e-10 7.80347015e-11\n 4.12648336e-10 1.64326124e-09 8.07126093e-11 4.47987484e-09\n 5.77288531e-11 7.21497803e-11 3.19875521e-11 4.02259826e-11\n 1.58817618e-10 5.92838029e-11 2.28771074e-10 2.19978507e-10\n 7.66018438e-11 3.69134837e-11 7.36513882e-11 9.43787747e-11\n 4.58054683e-11 7.92957149e-11 2.86671513e-11 7.43843146e-11\n 2.84952726e-11 4.57014942e-11 6.83046328e-11 1.34943805e-10\n 1.18950457e-10 1.18950457e-10 4.74408263e-11 5.03575795e-11\n 5.51806646e-11 9.20971447e-11 8.33732654e-11 1.00000000e+00\n 7.53403290e-11 8.40261762e-11 7.08851590e-11 4.62766056e-11\n 1.09337479e-10 1.54573307e-10 1.06793828e-10 1.99999993e-01\n 1.97127261e-10 1.58964147e-10 2.28115911e-10 4.80000000e+00\n 4.80000000e+00 7.20551708e-11 1.22393351e-10 8.00000007e-01\n 1.01505447e-10 1.49370495e-10 8.01925730e-11 2.20000000e+00\n 2.20000000e+00 1.06073657e-10 2.69714998e-11 4.03660609e-11\n 3.87820274e-11]"", ""s"": ""[2.85936582e-10 5.14367127e-01 2.95262104e-10 9.37430393e-01\n 4.37817037e-10 4.60097456e-10 1.57200000e+00 2.94225662e-10\n 4.59451671e-10 1.02452970e-09 2.90178197e-10 3.52363288e+00\n 2.33217383e-09 4.74752662e-10 3.01999997e-01 3.17604190e-10\n 2.92926456e-10 4.01223019e+00 2.92171298e-10 4.44576981e+00\n 3.72935625e-02 3.27194369e-10 9.30076924e-10 4.59760955e-10\n 1.21200000e+00 2.98879582e-10 3.70457251e-10 1.39143308e-09\n 5.12800000e+00 2.96633276e-10 4.73774713e-01 2.99677226e-10\n 3.47800000e+00 2.91835018e-10 6.91999997e-01 3.03385776e-10\n 2.95638256e-10 3.54000000e-01 2.55121435e+00 2.94055261e-10\n 6.61400000e+00 6.58878565e+00 2.45738005e-09 4.65507451e-10\n 5.48400000e+00 2.93800822e-10 2.75710768e+00 2.95568854e-10\n 2.77536370e-10 1.80876855e-02 9.79884307e-01 2.98256082e-10\n 4.29884308e-01 3.06261982e-10 2.92275741e-10 1.48800000e+00\n 4.66388555e-10 1.01093322e-09 5.72115689e-01 3.03797335e-10\n 6.82115689e-01 3.01645441e-10 4.21395799e-10 1.06643861e-09\n 5.04798375e+00 2.92816038e-10 3.66226334e-02 3.15982789e-10\n 1.25153756e+00 3.99586424e-02 3.24729320e-10 1.52608607e+00\n 2.96836418e-10 1.85800000e+00 2.94237123e-10 1.67400000e+00\n 2.95792031e-10 9.55913925e-01 2.96759531e-10 2.28274779e+00\n 2.94330640e-10 4.77330981e+00 2.94355201e-10 4.52469874e-10\n 1.01825522e-09 2.91944054e-10 1.70831906e+00 2.91232399e-10\n 1.93485319e+00 2.92101285e-10 2.95314682e+00 2.41225164e-02\n 2.81831275e-10 2.96126046e-10 7.52734914e-01 2.97914325e-10\n 7.02835402e+00 3.00065220e-10 6.69680946e-01 6.96993471e-01\n 2.92286247e-10 2.91950482e-10 2.72056372e+00 2.93496307e-10\n 2.44717677e+00 2.94660636e-10 3.72000000e+00 2.98734168e-10\n 1.29000000e+00 3.08277118e-10 1.79594309e-01 2.91938062e-10\n 3.52800000e+00 2.93084106e-10 1.61222352e+00 6.96990971e-01\n 2.92286290e-10 2.92866069e-10 3.58814848e+00 3.28583469e+00\n 2.90838172e-10 2.90309565e-10 2.32427945e+00 2.34996219e+00\n 3.08030635e-10 9.66791233e+00 1.64874987e+01 2.90606364e-10\n 3.49655735e+00 2.20377692e+00 2.90796345e-10 4.30418538e+00\n 1.12323204e+00 3.13319133e-10 5.23998394e-01 5.53586206e-01\n 2.94700707e-10 3.29063528e+00 4.08566823e+00 3.05230478e-10\n 1.11129141e+00 6.73020943e-01 2.91995503e-10 3.26210657e+00\n 4.83849915e+00 2.70800000e+00 2.88941344e-10 4.80867031e+00\n 1.86187950e+00 3.73037932e-01 2.97559524e-10 1.66498000e+00\n 2.91574919e-10 6.63231452e+00 6.99090647e-01 1.88650063e-01\n 3.15236648e-10 2.63643043e+00 3.87272001e-01 2.96489724e-10\n 1.52199680e+00 4.66073202e-01 3.06975879e-10 1.69281392e+00\n 4.94547897e-01 3.01442759e-10 1.01289169e+00 6.25604712e-01\n 3.04061812e-10 3.95824464e-10 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2.34496965e+00 4.44578598e-10\n 2.95546984e+00 1.88039648e+00 3.72836298e+00 1.53915798e-10\n 1.53785753e-10 2.60257197e+00 1.18952203e+01 8.19374802e+00\n 7.95521482e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": 1435.1780000001015, ""dcost"": 1435.1780004203565, ""pres"": 1.1829454697292576e-11, ""dres"": 1.8296423819560863e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 2.645454736434323, ""dinfres"": NaN, ""gap"": 1.1209335403887962e-06, ""relgap"": 7.810414736433253e-10, ""r0"": 1e-08, ""iter"": 12, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.011254374000000001, ""tsetup"": 0.001007791, ""tsolve"": 0.010246583}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2668,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,degen2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": 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9.99990486e-01,\n 0.00000000e+00, 9.99989859e-01, -8.23993651e-18, 9.99976403e-01,\n 1.00006644e+00, -6.17995238e-18, 0.00000000e+00, 9.99952596e-01,\n -9.88162980e-17, 9.88162980e-17, 1.99780660e-01, 8.00219341e-01,\n 0.00000000e+00, 9.99936541e-01, 0.00000000e+00, 1.00000050e+00,\n 1.00000351e+00, -1.57073790e-16, 9.88792381e-17, 1.00000519e+00,\n -4.11996826e-17, 9.99989417e-01, 9.99993021e-01, 0.00000000e+00,\n 8.00060523e-01, 1.99939478e-01, -2.47198095e-17, 1.00001790e+00,\n -3.62557206e-16, 9.99979633e-01, 7.99703033e-01, 2.00296967e-01,\n 0.00000000e+00, 9.99990713e-01, 1.49348849e-16, 1.00001336e+00,\n 0.00000000e+00, 9.81067441e-17, 1.00000107e+00, 2.80000491e-17,\n 9.99990968e-01, 0.00000000e+00, 9.99955696e-01, 3.29597460e-17,\n 1.00004649e+00, 2.05998413e-17, 9.99993860e-01, 0.00000000e+00,\n 1.00003102e+00, 0.00000000e+00, 9.99981702e-01, 7.99987978e-01,\n 2.00012022e-01, 1.00001216e+00, -2.96448894e-16, 9.99989673e-01,\n 0.00000000e+00, 1.00000768e+00, 0.00000000e+00, 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2.00000536e-01,\n 5.04696111e-17, -3.39897381e-17, 0.00000000e+00, 9.99984176e-01,\n 0.00000000e+00, -4.89246230e-17, 9.99981773e-01, 9.99991172e-01,\n 3.50197302e-17, 4.94081490e-17, 0.00000000e+00, -6.40526315e-18,\n 9.99985439e-01, 1.00000071e+00, 0.00000000e+00, -1.58618778e-16,\n 9.88792381e-17, 1.10209151e-16, 9.99987990e-01, 8.00477697e-01,\n 1.99530314e-01, 0.00000000e+00, 9.99992652e-01, 0.00000000e+00,\n 0.00000000e+00, 9.99999766e-01, 0.00000000e+00, 0.00000000e+00,\n 1.00000086e+00, 4.53196508e-17, -1.06089183e-16, 1.23520373e-17,\n 1.00000163e+00, 0.00000000e+00, 4.94081490e-17, 2.00339162e-01,\n 7.99645235e-01, 1.64798730e-17, 0.00000000e+00, 9.99989791e-01,\n 1.00002159e+00, -4.15215551e-17, 3.55347262e-17, -2.57176143e-17,\n 5.23196631e-17, 9.99991222e-01, 2.47040745e-17, 1.00000026e+00,\n -5.27870933e-18, 9.99976085e-01, 0.00000000e+00, -7.72494048e-18,\n 7.82793969e-17, 9.99977487e-01, -5.14996032e-18, 4.11996826e-17,\n 1.00001262e+00, 4.06203120e-17, 9.99977301e-01, 8.23993651e-18,\n 0.00000000e+00, 0.00000000e+00, 9.99995702e-01, 8.78068234e-17,\n 1.00000803e+00, 0.00000000e+00, 2.47040745e-17, -6.90094683e-17,\n -3.70561118e-17, 9.99987705e-01, 1.00000393e+00, -4.28476699e-16,\n 2.61682359e-17, 7.99764674e-01, 2.00238300e-01, 3.50197302e-17,\n 1.00000357e+00, 0.00000000e+00, -7.41594286e-17, 1.23520373e-17,\n 1.00000599e+00, -2.47157861e-17, 9.99998888e-01, 4.94081490e-17,\n -2.27628246e-16, 0.00000000e+00, -4.28927320e-16, 9.99988690e-01,\n 2.00316447e-01, -2.47040745e-17, 7.99650369e-01, -1.08986035e-16,\n 0.00000000e+00, 9.99991794e-01, 1.28749008e-18, 9.06393016e-17,\n 9.99984795e-01, 1.64798730e-17, 3.34747421e-17, 9.99988830e-01,\n -5.14996032e-17, 9.99996219e-01, 0.00000000e+00, 9.99998341e-01,\n 1.00001499e+00, -6.55332451e-17, 0.00000000e+00, 1.99560962e-18,\n 9.99997469e-01, 1.02999206e-17, 3.91396984e-17, -1.82481602e-16,\n 9.99990117e-01, 5.39458343e-17, 1.00001077e+00, 3.45998658e-17,\n -1.50185718e-16, 1.44647499e-16, 9.99994475e-01, 1.00000103e+00,\n 0.00000000e+00, -7.41122235e-17, 1.00000515e+00, 6.17601863e-18,\n 3.83028299e-18, 9.99998737e-01, 1.18449087e-16, -3.29597460e-17,\n 1.00000703e+00, 1.64798730e-17, 1.64798730e-17, 1.67373710e-17,\n 9.99995271e-01, 5.43467295e-21, 1.00000073e+00, -1.85280559e-17,\n -1.08149167e-17, 1.00000955e+00, -1.02999206e-16, 2.21448294e-17,\n -7.66392771e-17, 0.00000000e+00, 9.99979641e-01, 1.00001854e+00,\n 1.04639326e-16, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 9.92951687e-17, 0.00000000e+00, -1.15549375e-16, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -4.94396191e-17, 1.00003084e+00,\n 0.00000000e+00, 6.54044961e-18, -4.37500767e-19, 0.00000000e+00,\n 0.00000000e+00, 1.80016915e+00, 1.99873226e-01, -2.63677968e-17,\n 0.00000000e+00, 9.88792381e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -4.96475844e-17, 0.00000000e+00,\n 0.00000000e+00, 8.52794091e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 4.00003135e+00, 1.00000192e+00, 1.99996881e+00,\n 1.00000808e+00, 0.00000000e+00, -9.88792381e-17, 0.00000000e+00,\n 1.84021756e-18, 1.17096541e-31, 0.00000000e+00, 1.64798730e-17,\n 0.00000000e+00, -1.91998388e-16, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.05998413e-18, 0.00000000e+00,\n 0.00000000e+00, 2.00000245e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -6.17601863e-18, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.85482703e-32, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.45498672e-18, -1.33249077e-18,\n 1.06599261e-17, 0.00000000e+00, -1.29298424e-17, 0.00000000e+00,\n -2.02718173e-16, -2.32797875e-17, 3.58397901e-17, 0.00000000e+00,\n 0.00000000e+00, 8.52794091e-17, 0.00000000e+00, 0.00000000e+00,\n -1.54498810e-18, 0.00000000e+00, -8.23993651e-18, -1.15359111e-16,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 8.00401723e-01,\n -1.54400466e-18, 0.00000000e+00, -2.90997344e-18, 5.85482703e-32,\n 0.00000000e+00, 2.08201682e-20, 1.00001571e+00, 1.19961800e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n -6.02791217e-18, 9.99996062e-01, 0.00000000e+00, 0.00000000e+00,\n -1.28749008e-18, 3.86001164e-18, 0.00000000e+00, 0.00000000e+00,\n 9.99996329e-01, -3.13117587e-17, 0.00000000e+00, 0.00000000e+00,\n 3.08800931e-18, 1.46370676e-32, 0.00000000e+00, -5.76008804e-18,\n 0.00000000e+00, -4.65595750e-17, 0.00000000e+00, 0.00000000e+00,\n 2.05998413e-18, 0.00000000e+00, 4.63201397e-18, -2.57498016e-19,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 6.66245384e-19, -7.45596242e-17, -1.16398938e-17, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.54400466e-18, 0.00000000e+00,\n 6.17601863e-18, 3.63746680e-19, 1.79994404e+00, 4.96475844e-17,\n 0.00000000e+00, 2.00058876e-01, -1.54400466e-18, 3.08800931e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.33249077e-18,\n 4.11996826e-17, 0.00000000e+00, 5.08796411e-17, 5.76008804e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 3.08997619e-18, 0.00000000e+00,\n 9.99941715e-01, 0.00000000e+00, 8.36868552e-19, -5.14996032e-18,\n 9.99989319e-01, 2.99984827e+00, 3.99981983e+00, 0.00000000e+00,\n 1.00001935e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.00020529e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 2.05998413e-18, 1.02999206e-18, 0.00000000e+00,\n 0.00000000e+00, -5.23196631e-17, -1.93599170e-17, 2.32797875e-17,\n -1.54400466e-18, 8.52794091e-17, 0.00000000e+00, 0.00000000e+00,\n 1.54400466e-18, 5.00002514e+00, 1.00000388e+00, -8.74994875e-21,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.54400466e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.00000885e+00,\n 2.00000619e+00, 9.99999865e-01, 1.00000539e+00, -3.63746680e-19,\n 5.14996032e-19, 0.00000000e+00, 6.03126819e-20, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.82589261e-18,\n 0.00000000e+00, 9.99966539e-01, 9.99971551e-01, 0.00000000e+00,\n 0.00000000e+00, 2.32797875e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -9.65617560e-20, -5.27355937e-17, 0.00000000e+00,\n 6.17601863e-18, 0.00000000e+00, 1.41719040e-16, 8.52794091e-17,\n 3.08800931e-18, -4.63496429e-18, 0.00000000e+00, 1.54400466e-17,\n 0.00000000e+00, -7.83974096e-18, 0.00000000e+00, 5.85482703e-32,\n -1.07119175e-16, 0.00000000e+00, -1.64798730e-17, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.19556014e-32,\n -5.35595873e-17, -5.35595873e-17, 0.00000000e+00, 8.52794091e-17,\n -4.65595750e-17, -5.81994688e-18, 3.51289622e-31, 9.99995897e-01,\n 0.00000000e+00, 0.00000000e+00, 9.88792381e-17, -5.19037325e-17,\n -3.91987048e-18, -2.05998413e-18, 0.00000000e+00, 2.00230821e-01,\n 0.00000000e+00, 0.00000000e+00, 5.32996307e-18, 4.80060185e+00,\n 4.80060948e+00, 0.00000000e+00, 0.00000000e+00, 7.99774392e-01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.19943930e+00,\n 2.19944082e+00, 0.00000000e+00, 0.00000000e+00, -1.91998388e-16,\n 7.83974096e-18]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 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2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=1435.177158790581, prim_res=0.0001813926935732013, dual_res=0.0003044078087315119, iter=1600, rho_updates=1, rho_estimate=0.008876668917856139, setup_time=0.001846375, solve_time=0.08138075, update_time=0.0, polish_time=0.000499916, run_time=0.083727041))""}}, ""problem_class"": ""LP""}" +2669,cvxpy_cvxopt,unknown,NETLIB,degen2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:02,0.0881507396697998,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2670,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,degen2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:03,0.0890970230102539,OPTIMAL (INACCURATE),-1435.1774151876425,-1435.1783154213335,0.0009002336910270969,2.3181596246379406e-10,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -1435.1783154213335, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2671,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,degen2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:04,0.06089282035827637,OPTIMAL,-1424.548,-1435.1779999999999,10.629999999999882,0.233550714574669,2.7990329599171046e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -1435.1779999999999, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2672,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,degen2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:05,0.037222862243652344,OPTIMAL,-1435.1779999999999,-1435.178,2.2737367544323206e-13,1.9164609448879266e-17,2.6817599613899817e-19,809,"{""solver_solve_time"": 0.029272623360157013, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -1435.178, ""solver_stats"": {""solve_time"": 0.029272623360157013, ""num_iters"": 809, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2673,scipy_linprog,scipy-1.15.3,NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:07,0.2804558277130127,OPTIMAL,-987.2940000000001,,,0.0,,2494,"{""solver_solve_time"": 0.2804558277130127, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -987.2940000000001, ""scipy_nit"": 2494, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2674,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:08,0.22242474555969238,OPTIMAL,-987.2940022655187,-987.2939998174327,-2.448085979267489e-06,4.0608185723145106e-09,6.324546733938962e-13,14,"{""solver_solve_time"": 0.17917, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -987.2939998174327, ""solver_stats"": {""solve_time"": 0.17917, ""num_iters"": 14, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2675,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:11,2.116604804992676,OPTIMAL,-987.2916565002344,-987.2926499688974,0.0009934686630685974,1.2055954861952349e-05,7.581328506871583e-08,5950,"{""solver_solve_time"": 2.0717555, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -987.2926499688974, ""solver_stats"": {""solve_time"": 2.0717555, ""setup_time"": 0.019535083, ""num_iters"": 5950, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ -8.90999813 18.03269152 16.18206623 ... -17.25121757 -7.68683829\n -8.69535744]"", ""y"": ""[0. 1.00000708 0.99999699 ... 0. 0. 0. ]"", ""s"": ""[ 0.07671245 0. 0. ... 17.25121757 7.68683829\n 8.69535744]"", ""info"": {""status_val"": 1, ""iter"": 5950, ""scale_updates"": 1, ""scale"": 0.3997288666323946, ""pobj"": 987.2926499688971, ""dobj"": 987.2916565002345, ""res_pri"": 0.00025202531950569443, ""res_dual"": 0.0004221301937315423, ""gap"": 0.0009934686626792751, ""res_infeas"": 0.04760540800760082, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 1.9511428222625292e-13, ""solve_time"": 2071.7555, ""setup_time"": 19.535083, ""lin_sys_time"": 1943.2611860000006, ""cone_time"": 31.74551200000025, ""accel_time"": 14.024459999999847, ""rejected_accel_steps"": 52, ""accepted_accel_steps"": 6, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2676,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:12,0.1694629192352295,OPTIMAL,-987.2940002027087,-987.2939999827056,-2.2000313038006425e-07,3.6494609108534427e-10,5.919753309559691e-14,15,"{""solver_solve_time"": 0.140496958, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -987.2939999827056, ""solver_stats"": {""solve_time"": 0.140496958, ""setup_time"": 0.007260041, ""num_iters"": 15, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-8.91 0.80039977 -0.77366394 ... -5.75446668 -1.6922628\n -2.69593397]"", ""y"": ""[]"", ""z"": ""[7.86682231e-11 1.00000000e+00 9.99999998e-01 ... 1.38918861e-11\n 4.61735816e-11 2.94497944e-11]"", ""s"": ""[1.05305964e+00 8.00860885e-11 8.03692021e-11 ... 5.75446668e+00\n 1.69226280e+00 2.69593397e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": 987.2939999827054, ""dcost"": 987.2940002027088, ""pres"": 9.561174418474901e-12, ""dres"": 1.434013347639984e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 2.1023565156570148, ""dinfres"": NaN, ""gap"": 2.2710930830963315e-06, ""relgap"": 2.30032096075742e-09, ""r0"": 1e-08, ""iter"": 15, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.147756999, ""tsetup"": 0.007260041, ""tsolve"": 0.140496958}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2677,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:14,0.9829401969909668,OPTIMAL,-987.2963037692543,-987.2926071982401,-0.003696571014188521,1.8651413672508796e-05,4.558923013974802e-08,3125,"{""solver_solve_time"": 0.959258583, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -987.2926071982401, ""solver_stats"": {""solve_time"": 0.959258583, ""num_iters"": 3125, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([-8.90999744, -0.39849442, -1.591716 , ..., -4.69308776,\n -0.59757392, -2.34134178], shape=(1503,)), y=array([-2.96162991e-16, 9.99997320e-01, 1.00000519e+00, ...,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00], shape=(2604,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2604,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1503,)), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=987.2926071982403, prim_res=0.00011761768340412537, dual_res=0.00044886779982289404, iter=3125, rho_updates=1, rho_estimate=0.014550191659726213, setup_time=0.015195458, solve_time=0.94157975, update_time=0.0, polish_time=0.002483375, run_time=0.959258583))""}}, ""problem_class"": ""LP""}" +2678,cvxpy_cvxopt,unknown,NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:16,0.6601860523223877,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2679,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:17,0.46016788482666016,OPTIMAL (INACCURATE),-987.2890549786291,-987.2972888058284,0.008233827199319421,9.568518543363165e-10,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -987.2972888058284, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2680,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:19,0.5999760627746582,OPTIMAL,-983.4860000000001,-987.2939999999999,3.8079999999997654,0.32196167510608487,1.3781880252872275e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -987.2939999999999, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2681,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:20,0.22198796272277832,OPTIMAL,-987.2940000000001,-987.294,-1.1368683772161603e-13,2.1266578245384196e-16,1.2123681903868999e-18,3053,"{""solver_solve_time"": 0.19701499864459038, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -987.294, ""solver_stats"": {""solve_time"": 0.19701499864459038, ""num_iters"": 3053, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2682,scipy_linprog,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:21,0.6787209510803223,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:21 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:21 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:21 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:21 - python_solver_runner - INFO - Subprocess solving dfl001 with scipy_linprog\n2026-07-05 17:50:21 - python_solver_runner - INFO - Solving dfl001 with scipy_linprog\n2026-07-05 17:50:21 - solver_scipy_linprog - INFO - Initialized SciPy solver with method 'highs'\n2026-07-05 17:50:21 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:21 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2683,cvxpy_clarabel,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:22,0.7879502773284912,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:22 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_clarabel\n2026-07-05 17:50:22 - python_solver_runner - INFO - Solving dfl001 with cvxpy_clarabel\n2026-07-05 17:50:22 - solver_cvxpy_clarabel - INFO - Initialized CVXPY solver 'cvxpy_clarabel' with backend 'CLARABEL'\n2026-07-05 17:50:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2684,cvxpy_scs,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:22,0.6375408172607422,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:22 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_scs\n2026-07-05 17:50:22 - python_solver_runner - INFO - Solving dfl001 with cvxpy_scs\n2026-07-05 17:50:22 - solver_cvxpy_scs - INFO - Initialized CVXPY solver 'cvxpy_scs' with backend 'SCS'\n2026-07-05 17:50:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2685,cvxpy_ecos,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:23,0.7123849391937256,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:23 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:23 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:23 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:23 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_ecos\n2026-07-05 17:50:23 - python_solver_runner - INFO - Solving dfl001 with cvxpy_ecos\n2026-07-05 17:50:23 - solver_cvxpy_ecos - INFO - Initialized CVXPY solver 'cvxpy_ecos' with backend 'ECOS'\n2026-07-05 17:50:23 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:23 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2686,cvxpy_osqp,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:24,0.948065996170044,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:24 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:24 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:24 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:24 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_osqp\n2026-07-05 17:50:24 - python_solver_runner - INFO - Solving dfl001 with cvxpy_osqp\n2026-07-05 17:50:24 - solver_cvxpy_osqp - INFO - Initialized CVXPY solver 'cvxpy_osqp' with backend 'OSQP'\n2026-07-05 17:50:24 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:24 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2687,cvxpy_cvxopt,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:25,0.9437928199768066,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:25 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:25 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:25 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:25 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_cvxopt\n2026-07-05 17:50:25 - python_solver_runner - INFO - Solving dfl001 with cvxpy_cvxopt\n2026-07-05 17:50:25 - solver_cvxpy_cvxopt - INFO - Initialized CVXPY solver 'cvxpy_cvxopt' with backend 'CVXOPT'\n2026-07-05 17:50:25 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:25 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2688,cvxpy_sdpa,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:26,0.8969829082489014,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:26 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:26 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:26 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:26 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_sdpa\n2026-07-05 17:50:26 - python_solver_runner - INFO - Solving dfl001 with cvxpy_sdpa\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/cvxpy/problems/problem.py:1504: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n warnings.warn(\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/sdpap/sdpaputils.py:114: RuntimeWarning: k >= N - 1 for N * N square matrix. Attempting to use scipy.linalg.eig instead.\n eig = eigs(mat.toarray(), k=1, which='SM',\n2026-07-05 17:50:26 - solver_cvxpy_sdpa - INFO - Initialized CVXPY solver 'cvxpy_sdpa' with backend 'SDPA'\n2026-07-05 17:50:26 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:26 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2689,cvxpy_scip,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:27,0.6727578639984131,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:27 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:27 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:27 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:27 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_scip\n2026-07-05 17:50:27 - python_solver_runner - INFO - Solving dfl001 with cvxpy_scip\n2026-07-05 17:50:27 - solver_cvxpy_scip - INFO - Initialized CVXPY solver 'cvxpy_scip' with backend 'SCIP'\n2026-07-05 17:50:27 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:27 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2690,cvxpy_highs,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:27,0.6777410507202148,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:27 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:27 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:27 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:27 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_highs\n2026-07-05 17:50:27 - python_solver_runner - INFO - Solving dfl001 with cvxpy_highs\n2026-07-05 17:50:27 - solver_cvxpy_highs - INFO - Initialized CVXPY solver 'cvxpy_highs' with backend 'HIGHS'\n2026-07-05 17:50:27 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:27 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2691,scipy_linprog,scipy-1.15.3,NETLIB,e226,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:28,0.007423877716064453,OPTIMAL,-18.75192906637055,,,0.0,,329,"{""solver_solve_time"": 0.007423877716064453, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -18.75192906637055, ""scipy_nit"": 329, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2692,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,e226,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:29,0.009691238403320312,OPTIMAL,-18.75192791671704,-18.75192781704161,-9.967542879962821e-08,1.572134880784565e-08,6.17047227090499e-11,18,"{""solver_solve_time"": 0.00596471, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -18.75192781704161, ""solver_stats"": {""solve_time"": 0.00596471, ""num_iters"": 18, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2693,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,e226,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:31,0.81770920753479,OPTIMAL,-18.751128893904635,-18.7512633964412,0.00013450253656444033,9.169395940637513e-06,2.7495126991131746e-07,29375,"{""solver_solve_time"": 0.813011416, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -18.7512633964412, ""solver_stats"": {""solve_time"": 0.813011416, ""setup_time"": 0.000985916, ""num_iters"": 29375, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 7.55059652e-02 -1.92587729e-03 5.98688788e-02 7.38418138e-02\n -9.85414602e+00 1.07797149e+00 1.06754649e+00 7.88657071e-01\n -4.06092750e+00 -3.26055081e+00 -2.53526631e-02 -2.84291826e+00\n -2.84291761e+00 2.28617649e-01 -2.53521872e-02 -1.47411449e+00\n 2.19714633e-02 2.74023061e-03 -1.43069435e+00 4.80799004e-01\n 2.20321594e-03 -1.48175197e-02 -2.18278446e-01 -1.16574216e-03\n -2.29444063e+00 -6.36992578e-02 1.83349665e-02 -1.51021136e-03\n -3.44028795e-03 -2.32165618e-06 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2.24196365e+00 1.60772134e-12\n 4.63245150e-01 1.23912076e+00 3.80720982e-13 2.11663509e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": 18.751929066255176, ""dcost"": 18.751929066265703, ""pres"": 3.376402600681504e-14, ""dres"": 4.672105324776342e-14, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 1.0128598846622616, ""dinfres"": NaN, ""gap"": 5.799722098570939e-09, ""relgap"": 3.0928669141589856e-10, ""r0"": 1e-08, ""iter"": 20, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.009507249, ""tsetup"": 0.000420458, ""tsolve"": 0.009086791}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2695,cvxpy_osqp,unknown,NETLIB,e226,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2696,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,e226,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:34,0.7611911296844482,OPTIMAL,-18.751928332950317,-18.751928335624058,2.673740340242148e-09,2.550069832198194e-08,3.950529243695893e-12,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": 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1.8538910037428268e-09, ""r0"": 1e-08, ""iter"": 25, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.030885083, ""tsetup"": 0.000735125, ""tsolve"": 0.030149958}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2704,cvxpy_osqp,unknown,NETLIB,etamacro,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:46,0.46370601654052734,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2705,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,etamacro,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:49,2.255654811859131,OPTIMAL,444.6629153329743,444.6629065901751,8.742799195715634e-06,2.303609969975434e-09,5.867390406143073e-14,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": 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1.92723664e+00 6.14955349e+00\n 6.09976906e+00 6.46989050e+00 6.03872886e+00 2.31496678e-11\n 1.01644920e-10 1.37957347e-10 3.09699854e+01 2.41007400e-11\n 1.11422437e-10 1.52571829e-10 2.63819885e+01 4.56531608e-12\n 1.22367689e-11 1.08778021e-11 1.51309889e+01 1.01126103e-11\n 7.54544301e-12 5.11086226e-12 3.63871096e+02 3.58827651e-12\n 2.45811674e-09 2.47157457e-09 1.60677505e+02 2.66964432e-11\n 1.94862191e-11 1.23246215e-11 3.19253104e+02 1.07900956e-10]"", ""y"": ""[]"", ""z"": ""[1.16508911e-08 1.92942425e-12 1.96579023e-12 ... 4.88390050e+01\n 1.26979415e-12 4.35926814e+02]"", ""s"": ""[9.13717223e-04 6.05638500e+00 5.94434518e+00 ... 2.39263414e-13\n 3.19253104e+02 2.68058461e-14]"", ""info"": {""exitFlag"": 0, ""pcost"": -555679.5837709124, ""dcost"": -555679.5837709125, ""pres"": 4.7098710353853174e-09, ""dres"": 1.9082002916513902e-14, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.00032885529052137006, ""gap"": 6.636816971480292e-05, ""relgap"": 1.1943604129635298e-10, ""r0"": 1e-08, ""iter"": 75, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.081874583, ""tsetup"": 0.000983958, ""tsolve"": 0.080890625}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2713,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,fffff800,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:01,0.014882087707519531,UNBOUNDED,,,,,,,"{""solver_solve_time"": 0.0093315, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.0093315, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1028,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1028,)), dual_inf_cert=array([ 4.28088150e-06, -2.93419984e-06, -3.55276343e-05, -6.88362346e-04,\n -1.49190754e-05, -1.88346726e-05, -5.19817622e-06, 1.04227420e-05,\n -1.83551395e-04, -7.84931501e-05, -3.92781308e-06, -1.03999280e-06,\n -1.38080554e-03, -7.50954685e-04, -6.25069926e-04, -4.51684892e-04,\n -6.95405562e-04, -3.77596941e-04, -3.12201915e-04, -2.40589796e-04,\n -1.37759514e-03, -7.51662501e-04, -6.25985772e-04, -4.81422361e-04,\n -6.90612763e-04, -3.73720927e-04, -3.09733890e-04, -2.39989816e-04,\n -1.11513042e-05, -2.01009426e-06, -3.33499813e-06, -5.97263467e-06,\n -1.66480179e-05, -1.92773600e-06, -4.66346795e-06, -1.06176257e-05,\n -2.21172268e-05, -2.91450717e-06, -4.71195925e-06, -1.52010983e-05,\n -2.23248944e-05, -1.98344552e-06, -5.83946653e-06, -1.79001163e-05,\n -2.67541549e-05, -6.40664989e-06, -7.62017921e-06, -2.25431449e-05,\n -2.61209678e-05, -6.48268092e-06, -8.12976820e-06, -2.50039000e-05,\n -2.59562941e-05, -5.45987255e-06, -8.26148766e-06, -2.46303003e-05,\n 1.50097262e-04, 1.30310844e-04, 1.33409595e-04, 1.48069621e-04,\n 2.25320446e-04, 3.82442567e-04, 5.03859214e-05, 1.54255369e-04,\n 1.29700256e-04, 4.15241597e-05, -5.52838993e-05, -5.91195507e-05,\n -5.95175114e-05, -5.77183641e-05, -4.21117200e-05, -4.71894410e-05,\n -5.01821535e-05, -5.13600471e-05, 8.16683550e-03, 1.64662300e-03,\n 2.47508676e-03, 6.87700404e-03, -8.05196192e-03, -1.48072723e-03,\n -2.21522734e-03, -6.65799593e-03, 8.57160876e-05, -1.06264791e-05,\n 1.84488087e-06, -3.99423268e-06, -5.21047232e-06, -7.48658800e-06,\n -1.16246337e-06, -8.05801073e-07, -5.08275238e-07, -1.84839689e-07,\n -8.94315404e-06, -8.03796661e-06, -6.28690388e-06, -4.72678221e-06,\n -3.30036364e-06, -2.74650213e-06, -1.31798529e-06, -1.52136945e-06,\n -1.17716815e-06, -3.05475876e-06, -5.42875769e-06, -1.97261643e-06,\n 6.69416898e-06, 6.07949212e-06, 5.14801719e-06, 1.83857297e-06,\n -8.06012065e-06, -3.14901972e-06, -1.80599782e-06, -2.19605733e-06,\n -2.08672214e-06, -1.38081284e-06, -8.40242617e-07, -3.66229093e-07,\n 7.78529747e-06, 5.40443352e-06, -9.31076611e-06, 1.35455866e-06,\n 1.10650004e-05, 7.76680858e-06, -9.15075941e-06, 2.62852521e-06,\n 9.13476016e-06, 6.21812252e-06, -1.02656663e-05, 1.58592299e-06,\n 9.72075011e-06, 6.60538069e-06, -1.14223701e-05, 1.60554838e-06,\n 9.15788078e-06, 6.13384017e-06, -1.09507949e-05, 1.46383908e-06,\n 4.41118632e-06, 7.20932821e-06, 3.75692139e-07, 5.69703698e-06,\n 9.67497007e-06, 6.56469467e-06, -1.12808522e-05, 1.59368876e-06,\n 7.89414572e-06, 4.30851153e-06, -1.30229256e-05, -2.12250274e-06,\n 5.94292783e-05, 4.81877742e-05, 2.55763342e-05, 4.39281850e-05,\n 5.49150963e-06, -1.18359589e-06, -1.78553836e-05, 1.11108706e-05,\n 7.46677415e-06, 4.35140473e-06, -1.36763461e-05, -6.48427576e-07,\n 8.36483230e-06, 2.70272193e-06, -1.08600057e-05, 6.19432073e-06,\n 3.13385910e-04, -4.80383406e-06, -1.32807487e-05, -9.83351083e-06,\n 8.26723006e-06, 4.47073941e-06, -1.32488153e-05, -2.20824946e-06,\n -2.04674839e-07, -2.37021766e-07, -3.87973245e-07, -2.55978841e-07,\n 1.66840239e-05, -1.16876876e-05, 3.17760994e-05, 2.31986103e-05,\n -4.99079708e-06, -3.14782276e-06, 1.45595793e-05, 7.75927458e-06,\n -1.01863944e-05, -1.62945693e-05, -3.74569685e-05, -3.80806974e-05,\n -1.03516180e-05, -1.65093500e-05, -3.84074091e-05, -3.84506706e-05,\n 1.17323857e-05, 1.89087909e-05, 4.32975552e-05, 4.16746781e-05,\n -1.02138667e-05, -1.60304575e-05, -3.80982570e-05, -3.84764905e-05,\n 9.69035089e-06, 2.37982100e-05, 5.53515645e-05, 5.35313666e-05,\n -1.03591005e-05, -1.65458784e-05, -3.85819047e-05, -3.89924398e-05,\n 9.83667468e-06, 2.45655760e-05, 5.62804574e-05, 5.42184834e-05,\n -1.03104848e-05, -1.64277301e-05, -3.85297447e-05, -3.91122885e-05,\n 1.03833063e-05, 1.66754206e-05, 3.91117551e-05, 4.00185049e-05,\n -1.00889827e-05, -1.57600598e-05, -3.73345946e-05, -3.63881864e-05,\n 9.87607545e-06, -1.62450744e-05, 4.65660910e-06, -7.99146360e-06,\n -1.03113760e-05, -1.62451114e-05, -3.79132431e-05, -3.72855722e-05,\n -6.00483015e-06, -1.25597977e-05, -4.21969753e-05, -3.02363877e-05,\n -1.03525304e-05, -1.65094343e-05, -3.84793942e-05, -3.86942196e-05,\n 1.37240362e-05, 2.36044786e-05, 4.83082775e-05, 4.70749694e-05,\n -1.01572613e-05, -1.59900235e-05, -3.79551206e-05, -3.79750784e-05,\n 1.06179408e-05, 1.67892730e-05, 3.95855798e-05, 3.90517809e-05,\n -1.01113810e-05, -1.58305023e-05, -3.78523977e-05, -3.79832205e-05,\n 9.93690630e-06, 1.84190757e-05, 4.36038771e-05, 4.30040836e-05,\n -1.01596976e-05, -1.60022180e-05, -3.80134371e-05, -3.81558665e-05,\n 9.98564876e-06, 1.86754384e-05, 4.39130320e-05, 4.32323162e-05,\n -1.01449212e-05, -1.59619628e-05, -3.79927537e-05, -3.81983775e-05,\n 1.01696808e-05, 1.60453338e-05, 3.81874928e-05, 3.85019682e-05,\n -1.00696719e-05, -1.57402646e-05, -3.75975613e-05, -3.72875024e-05,\n 9.99782902e-06, 5.26552167e-06, 2.68990329e-05, 2.27254312e-05,\n -2.03067347e-05, -6.56698409e-06, -3.85315679e-05, -2.61248308e-05,\n -1.01575260e-05, -1.59900855e-05, -3.79792671e-05, -3.80565782e-05,\n 1.12810636e-05, 1.83546561e-05, 4.12551352e-05, 4.08522021e-05,\n -1.00600124e-05, -1.57303836e-05, -3.77291663e-05, -3.77372731e-05,\n 1.00600124e-05, 1.57303836e-05, 3.77291663e-05, 3.77372731e-05,\n -1.00629256e-05, -1.57359650e-05, -3.77361742e-05, -3.77519504e-05,\n 1.00401214e-05, 1.61670566e-05, 3.86830557e-05, 3.85933023e-05,\n -1.00701844e-05, -1.57581186e-05, -3.77581679e-05, -3.77799823e-05,\n 1.00496226e-05, 1.61459293e-05, 3.86017458e-05, 3.85136567e-05,\n -1.00601891e-05, -1.57301655e-05, -3.77225460e-05, -3.77155917e-05,\n 1.00873511e-05, 1.43741952e-05, 3.64060905e-05, 3.60296064e-05,\n -1.56230132e-05, 1.28313537e-05, -1.18363783e-05, -1.51134012e-05,\n -1.00609444e-05, -1.57328894e-05, -3.77315958e-05, -3.77403616e-05,\n 1.01042461e-05, 1.58264223e-05, 3.78581177e-05, 3.78534953e-05,\n 9.72084732e-06, 6.60544675e-06, -1.14224843e-05, 1.60556444e-06,\n -1.00601130e-05, -1.57305409e-05, -3.77295435e-05, -3.77376505e-05,\n -5.70726227e-01, 1.00000000e+00, -2.40448296e-11, 1.16467327e-07,\n 5.82089401e-07, 6.74962861e-07, -1.39400497e-06, -1.77418820e-06,\n -1.65102095e-06, 6.83808028e-07, 2.63627854e-06, 4.12579257e-06,\n 1.44464101e-07, 1.37297473e-07, 9.36099632e-08, -6.88674542e-07,\n -5.72249491e-07, -2.13100202e-07, 1.69958003e-06, -3.26006023e-06,\n -9.95132598e-07, -2.61736949e-05, -1.43362101e-05, -1.31166939e-05,\n 7.22134424e-07, -8.58161692e-11, -8.30807888e-06, -8.20545367e-06,\n -3.81803080e-06, -2.47781662e-06, -2.57820269e-06, -2.68319691e-06,\n -1.61286910e-06, -1.96865630e-07, 9.97370599e-08, -6.46401825e-10,\n -5.98422643e-07, -1.69786839e-10, 5.03247014e-08, -1.61528784e-11,\n 5.93580972e-08, -2.49617826e-09, 1.02447258e-05, 9.55667684e-07,\n 1.18406781e-05, 1.96051189e-07, -2.71343241e-05, -5.33487783e-06,\n -1.11106501e-06, -1.84274522e-06, -2.30944680e-06, 1.60267426e-06,\n 1.78531809e-06, 3.64226811e-07, -3.49267066e-10, -2.08578426e-06,\n -1.21046840e-05, -9.55855590e-07, -4.97314730e-09, -3.55959530e-06,\n -7.81499982e-06, -1.24947539e-06, 5.07592380e-11, -2.30803233e-07,\n -5.52837621e-05, -5.91204115e-05, -5.95175736e-05, -5.77166017e-05,\n -4.21116312e-05, -4.71899889e-05, -5.01822036e-05, -5.13586461e-05,\n -1.33681861e-05, -1.85494286e-05, -3.29962769e-05, -2.08021613e-05,\n -5.31343137e-06, -5.31343137e-06, -7.86339629e-06, -1.51439245e-05,\n -2.17546712e-05, -2.16042982e-05, -5.86130341e-06, -8.60430283e-06,\n -1.88099769e-05, -1.11174940e-05, -1.32321058e-05, -2.55740260e-05,\n -4.04525978e-05, -5.39717504e-05, -2.18175900e-07, -5.07479826e-06,\n -1.08210130e-05, -2.06062212e-05, -2.25399850e-06, 2.26670763e-07,\n 3.22349392e-07, 6.26873074e-07, 7.21982296e-08, 2.50144812e-06,\n -5.74153603e-06, -1.79964859e-06, 4.00925266e-06, 6.13861855e-06,\n 1.75562261e-06, 3.39700443e-06, 6.68789637e-06, 2.07314034e-06,\n -2.11336618e-06, -2.06448972e-07, 2.56130040e-06, 2.27718896e-06,\n -1.62218300e-06, 4.36154738e-07, 2.65941192e-06, 5.78606324e-05,\n -5.22719208e-07, 3.48615931e-06, -6.32859157e-07, 3.67050757e-06,\n -3.61320008e-06, -5.34834874e-06, 2.19184275e-06, -3.76629730e-06,\n 1.00921616e-06, -1.26791105e-06, -3.64528912e-06, -3.77165196e-06,\n 6.95719527e-07, -1.41186055e-06, -3.62285771e-06, -3.75718580e-06,\n 7.68862193e-07, -1.30880268e-06, -3.65480799e-06, -4.16761043e-06,\n 5.51776738e-07, -1.14480217e-06, -3.84990618e-06, -3.73904245e-06,\n 9.85057919e-07, -1.33739984e-06, -3.67561606e-06, -3.71796584e-06,\n 8.11929536e-07, -1.32313495e-06, -3.66313227e-06, -3.75917270e-06,\n 8.25371233e-07, -1.33750539e-06, -3.65647335e-06, -1.06736068e-06,\n -1.62727336e-06, 3.14884553e-06, 1.94527825e-06, 1.60466956e-06,\n 2.72918873e-06, 4.34214456e-06, 3.89859066e-06, 1.48919255e-06,\n 1.26759042e-06, 1.91771491e-06, -2.30751361e-07, 8.21124698e-06,\n 1.39717620e-05, 2.06652586e-05, 4.47175500e-05, -1.19243594e-05,\n -1.74781514e-06, -3.47006378e-07, 3.26487742e-05, 6.17074468e-05,\n 1.17817517e-04, 1.70771652e-04, 2.44671929e-04, -5.02901185e-07]), info=namespace(_pybind11_conduit_v1_=>, status='dual infeasible', status_val=5, status_polish=0, obj_val=-1e+30, prim_res=0.3551779211444211, dual_res=10141.770943711068, iter=150, rho_updates=0, rho_estimate=0.021236020870528803, setup_time=0.00189925, solve_time=0.00743225, update_time=0.0, polish_time=0.0, run_time=0.0093315))""}}, ""problem_class"": ""LP""}" +2714,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,fffff800,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:05,2.9650940895080566,OPTIMAL,555679.5637582489,555679.5647838956,-0.0010256466921418905,5.116526300265261e-09,0.0,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 555679.5647838956, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2715,cvxpy_sdpa,unknown,NETLIB,fffff800,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:06,0.06469202041625977,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2716,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,fffff800,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:06,0.04250001907348633,OPTIMAL,0.0,555679.5648174956,-555679.5648174956,1.633696068512883,1.18138532250782e-12,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 555679.5648174956, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2717,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,fffff800,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:07,0.011975765228271484,OPTIMAL,555679.5648174963,555679.5648174956,6.984919309616089e-10,2.2030637468642783e-16,2.3348258728322875e-14,293,"{""solver_solve_time"": 0.006421374157071114, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 555679.5648174956, ""solver_stats"": {""solve_time"": 0.006421374157071114, ""num_iters"": 293, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2718,scipy_linprog,scipy-1.15.3,NETLIB,finnis,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:08,0.00966191291809082,OPTIMAL,72756.43747440031,,,0.0,,356,"{""solver_solve_time"": 0.00966191291809082, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 72756.43747440031, ""scipy_nit"": 356, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2719,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,finnis,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:08,0.017681121826171875,OPTIMAL,72756.43804946233,72756.43737345253,0.0006760098040103912,1.06620716834204e-10,1.242712796464414e-16,28,"{""solver_solve_time"": 0.012314332, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 72756.43737345253, ""solver_stats"": {""solve_time"": 0.012314332, ""num_iters"": 28, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2720,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,finnis,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:11,1.6891849040985107,OPTIMAL,72692.69716475194,72693.09708446557,-0.3999197136290604,7.497301361795037e-06,1.8256209294617466e-10,41250,"{""solver_solve_time"": 1.683365166, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 72693.09708446557, ""solver_stats"": {""solve_time"": 1.683365166, ""setup_time"": 0.001133166, ""num_iters"": 41250, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-9.73962495e+02 -8.95443853e+02 7.28311260e+01 -6.76800189e+02\n -1.54073282e+03 1.44330819e+03 -1.85450952e+03 3.21599390e+02\n -1.10895458e+00 -2.42391846e+00 -2.61038356e-05 -2.28710233e+00\n -9.14855029e-01 -7.22133473e+02 -1.30347079e+03 -1.05038530e+03\n -4.44891944e+02 -1.31513707e+03 1.55889497e+03 -8.47530035e+03\n 7.42614186e+02 2.27426918e+02 -8.52946313e-01 -1.82254458e+00\n -1.88011752e+00 -1.70915605e+00 -1.19447001e+00 -5.42729248e+02\n 6.40313391e+01 4.06685013e+01 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-2.80467391e+02\n -1.54781087e-07 -7.31830436e-10 -1.54183992e-10 -2.43276203e+01\n -7.61442208e-07 -7.64138630e-07]"", ""y"": ""[]"", ""z"": ""[2.88514780e-11 3.08409985e+03 3.03900000e+03 ... 3.11037720e-11\n 1.00003177e-03 1.00003135e-03]"", ""s"": ""[2.62609912e+01 2.47547765e-13 2.51222477e-13 ... 2.43276203e+01\n 7.61443251e-07 7.64139673e-07]"", ""info"": {""exitFlag"": 0, ""pcost"": -72756.46661726305, ""dcost"": -72756.46661790462, ""pres"": 6.608258801103661e-10, ""dres"": 5.620990756691875e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 1.0557322926319266, ""gap"": 1.0738312639370662e-05, ""relgap"": 1.4759255278104397e-10, ""r0"": 1e-08, ""iter"": 29, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.009384291000000001, ""tsetup"": 0.000559791, ""tsolve"": 0.0088245}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2722,cvxpy_osqp,unknown,NETLIB,finnis,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:12,0.22959208488464355,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2723,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,finnis,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:15,1.9875078201293945,OPTIMAL,72756.44557271496,72756.43409114293,0.011481572029879317,6.311410016961135e-09,5.746036123867819e-16,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 72756.43409114293, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2724,cvxpy_sdpa,unknown,NETLIB,finnis,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:15,0.05924510955810547,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2725,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,finnis,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:16,0.02639007568359375,OPTIMAL,119489.04590761292,72756.4374744003,46732.60843321262,0.50246170265676,4.5331923157515746e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 72756.4374744003, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2726,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,finnis,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:17,0.014562845230102539,OPTIMAL,72756.4374744003,72756.43747440027,2.9103830456733704e-11,6.684244610164321e-17,1.0871800099511903e-20,627,"{""solver_solve_time"": 0.005677500739693642, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 72756.43747440027, ""solver_stats"": {""solve_time"": 0.005677500739693642, ""num_iters"": 627, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2727,scipy_linprog,scipy-1.15.3,NETLIB,fit1d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:17,0.024104833602905273,OPTIMAL,-9146.378092420928,,,0.0,,71,"{""solver_solve_time"": 0.024104833602905273, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -9146.378092420928, ""scipy_nit"": 71, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2728,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,fit1d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:18,0.04057025909423828,OPTIMAL,-9146.378084913116,-9146.378085835458,9.223422239301726e-07,1.3346062440290986e-08,1.1838988426511481e-14,28,"{""solver_solve_time"": 0.026543127, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -9146.378085835458, ""solver_stats"": {""solve_time"": 0.026543127, ""num_iters"": 28, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2729,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,fit1d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:26,7.356587886810303,OPTIMAL (INACCURATE),-9146.326715911502,-9146.32562852874,-0.0010873827613977483,7.895205188819125e-05,6.225441347737228e-09,100000,"{""solver_solve_time"": 7.339336040999999, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -9146.32562852874, ""solver_stats"": {""solve_time"": 7.339336040999999, ""setup_time"": 0.0031612909999999997, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-8.42092002e+00 2.31389808e-04 -2.78611920e+00 ... -1.59719816e-07\n -3.99981749e-07 -7.11049496e-08]"", ""y"": ""[0. 0.99999988 0. ... 3.0000004 3.00000064 3.00000021]"", ""s"": ""[267.82388673 0. 405.76387343 ... 0. 0.\n 0. ]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 2, ""scale"": 0.00941500379112303, ""pobj"": 9146.32562852874, ""dobj"": 9146.326715911504, ""res_pri"": 0.17790178543103632, ""res_dual"": 0.0037995498480152164, ""gap"": 0.0010873827624516782, ""res_infeas"": 0.0003280014336170867, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 3.1583220304292987e-12, ""solve_time"": 7339.336041, ""setup_time"": 3.161291, ""lin_sys_time"": 5911.303271000188, ""cone_time"": 494.49528099998696, ""accel_time"": 139.34289799999408, ""rejected_accel_steps"": 890, ""accepted_accel_steps"": 191, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2730,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,fit1d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:27,0.03271174430847168,OPTIMAL,-9146.37808630511,-9146.378087113737,8.086262823780999e-07,1.1644026169737429e-08,9.112802606732935e-15,30,"{""solver_solve_time"": 0.01909025, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -9146.378087113737, ""solver_stats"": {""solve_time"": 0.01909025, ""setup_time"": 0.001473833, ""num_iters"": 30, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-8.34436506e+00 1.36700532e-10 -2.67635548e+00 ... -5.42205601e-10\n -5.42161071e-10 -5.42133356e-10]"", ""y"": ""[]"", ""z"": ""[2.47773688e-11 1.00000000e+00 1.63870522e-11 ... 3.00000000e+00\n 3.00000000e+00 3.00000000e+00]"", ""s"": ""[2.67814471e+02 6.68501574e-09 4.05715026e+02 ... 2.21658022e-09\n 2.21653563e-09 2.21650789e-09]"", ""info"": {""exitFlag"": 0, ""pcost"": 9146.378087113733, ""dcost"": 9146.378086305098, ""pres"": 4.957299144688275e-11, ""dres"": 4.814765876944411e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.09613645766687198, ""dinfres"": NaN, ""gap"": 6.284412886693012e-06, ""relgap"": 6.870930577539413e-10, ""r0"": 1e-08, ""iter"": 30, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.020564083, ""tsetup"": 0.001473833, ""tsolve"": 0.01909025}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2731,cvxpy_osqp,unknown,NETLIB,fit1d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:28,0.45369434356689453,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2732,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,fit1d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:37,8.680837154388428,OPTIMAL,-9146.3780856813,-9146.378086147492,4.6619243221357465e-07,8.562692539789444e-09,8.703329171973811e-17,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2741,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,fit1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:52,7.052058935165405,OPTIMAL,9146.378048174125,9146.37802612799,2.204613520007115e-05,3.406760567600395e-08,5.034565256587263e-14,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": 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""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -68464.29329383207, ""scipy_nit"": 151, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2746,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,fit2d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:52:02,1.7057380676269531,OPTIMAL,-68464.29245412695,-68464.29249264472,3.8517770008184016e-05,4.383939954383729e-08,7.570279042603252e-14,37,"{""solver_solve_time"": 0.338761082, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -68464.29249264472, ""solver_stats"": {""solve_time"": 0.338761082, ""num_iters"": 37, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2747,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,fit2d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:53:13,69.2866621017456,OPTIMAL (INACCURATE),-68463.04245375839,-68462.36141530276,-0.681038455630187,6.2024130430988e-06,8.288642345111827e-09,100000,"{""solver_solve_time"": 67.744486916, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -68462.36141530276, ""solver_stats"": {""solve_time"": 67.744486916, ""setup_time"": 0.022249416, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-8.54274799e+00 -1.32636974e-02 -4.60654064e+00 ... -7.23133974e-06\n -7.23134726e-06 -1.44730653e+01]"", ""y"": ""[0. 1.00000022 0. ... 1.00000001 1.00000001 0. ]"", ""s"": ""[174.35428574 0. 4.64572397 ... 0. 0.\n 14.47306531]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 2, ""scale"": 0.002323055766098126, ""pobj"": 68462.36141530276, ""dobj"": 68463.04245375839, ""res_pri"": 1.2320530831347623, ""res_dual"": 0.0019201599046583513, ""gap"": 0.6810384556227005, ""res_infeas"": 0.00011685136901001346, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 4.1240305760015846e-10, ""solve_time"": 67744.486916, ""setup_time"": 22.249416, ""lin_sys_time"": 56089.535230000554, ""cone_time"": 3793.7959049999, ""accel_time"": 1335.5086190001434, ""rejected_accel_steps"": 882, ""accepted_accel_steps"": 274, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2748,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,fit2d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:53:17,2.18808913230896,OPTIMAL,-68464.29329232192,-68464.29329239577,7.385096978396177e-08,8.768180778369113e-11,1.4275679275801935e-16,39,"{""solver_solve_time"": 0.293639875, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -68464.29329239577, ""solver_stats"": {""solve_time"": 0.293639875, ""setup_time"": 0.007588541, ""num_iters"": 39, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-8.50053333e+00 -1.28456807e-02 -4.65360163e+00 ... -6.54347429e-11\n -6.54434758e-11 -1.46544786e+01]"", ""y"": ""[]"", ""z"": ""[8.64712687e-13 1.00000000e+00 3.27403747e-11 ... 1.00000000e+00\n 1.00000000e+00 1.02714240e-11]"", ""s"": ""[1.74414039e+02 1.51279230e-10 4.58596132e+00 ... 1.50919730e-10\n 1.50928483e-10 1.46544786e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": 68464.29329239075, ""dcost"": 68464.29329232188, ""pres"": 6.200095616206558e-13, ""dres"": 7.11759074075871e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.6636447161256476, ""dinfres"": NaN, ""gap"": 1.7110662195508975e-05, ""relgap"": 2.499209642382725e-10, ""r0"": 1e-08, ""iter"": 39, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.301228416, ""tsetup"": 0.007588541, ""tsolve"": 0.293639875}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2749,cvxpy_osqp,unknown,NETLIB,fit2d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:53:24,6.6463658809661865,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2750,cvxpy_cvxopt,unknown,NETLIB,fit2d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:55:25,120.0,TIMEOUT,,,,,,,"{""timeout_duration"": 120.0, ""problem_class"": ""LP""}" +2751,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,fit2d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:55:48,21.466903924942017,OPTIMAL,-68464.29122125392,-68464.29497297121,0.0037517172895604745,1.0947181458142865e-10,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -68464.29497297121, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2752,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,fit2d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:56:03,12.667510986328125,OPTIMAL,-68464.29329383207,-68464.29329383207,0.0,1.1728544974709925,1.8172744667892685e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -68464.29329383207, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2753,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,fit2d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:56:09,4.440495014190674,OPTIMAL,-68464.29329383207,-68464.29329383207,0.0,2.3026188368063357e-14,2.279036223848977e-21,5784,"{""solver_solve_time"": 2.4578951243311167, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -68464.29329383207, ""solver_stats"": {""solve_time"": 2.4578951243311167, ""num_iters"": 5784, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2754,scipy_linprog,scipy-1.15.3,NETLIB,fit2p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:56:14,2.663761854171753,OPTIMAL,68464.2932938321,,,0.0,,5028,"{""solver_solve_time"": 2.663761854171753, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 68464.2932938321, ""scipy_nit"": 5028, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2755,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,fit2p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:56:20,1.9155399799346924,OPTIMAL,68464.29339203276,68464.29327397178,0.0001180609833681956,5.881218476001914e-11,3.3412116784120985e-14,19,"{""solver_solve_time"": 0.151852789, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 68464.29327397178, ""solver_stats"": {""solve_time"": 0.151852789, ""num_iters"": 19, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2756,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,fit2p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:56:28,5.112726926803589,OPTIMAL,68464.0859837457,68463.6789852925,0.40699845319613814,1.0733581567598218e-05,2.349033250001905e-08,5925,"{""solver_solve_time"": 3.34692525, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 68463.6789852925, ""solver_stats"": {""solve_time"": 3.34692525, ""setup_time"": 0.025962875, ""num_iters"": 5925, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[9.99748268e-01 1.49999716e+00 9.99789581e-01 ... 1.20822896e-08\n 1.08173610e-08 1.02623469e-07]"", ""y"": ""[8.48579829e+00 1.28277095e-02 4.64136902e+00 ... 5.00000000e+00\n 4.50000000e+00 4.05000000e+01]"", ""s"": ""[0. 0. 0. ... 0. 0. 0.]"", ""info"": {""status_val"": 1, ""iter"": 5925, ""scale_updates"": 1, ""scale"": 0.8025539508967937, ""pobj"": -68463.67898529248, ""dobj"": -68464.08598374571, ""res_pri"": 0.0012203151971298678, ""res_dual"": 0.049357188781400524, ""gap"": 0.4069984532206221, ""res_infeas"": NaN, ""res_unbdd_a"": 0.00014606284891801143, ""res_unbdd_p"": 0.0, ""comp_slack"": 3.642442638594564e-09, ""solve_time"": 3346.92525, ""setup_time"": 25.962875, ""lin_sys_time"": 2674.2221389999927, ""cone_time"": 223.58330600000062, ""accel_time"": 77.07242400000071, ""rejected_accel_steps"": 52, ""accepted_accel_steps"": 2, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2757,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,fit2p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:56:33,1.7826461791992188,OPTIMAL,68464.29329462147,68464.29329361694,1.0045332601293921e-06,5.470633891163847e-13,2.386271944066116e-16,22,"{""solver_solve_time"": 0.085051625, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 68464.29329361694, ""solver_stats"": {""solve_time"": 0.085051625, ""setup_time"": 0.016291333, ""num_iters"": 22, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 1.00000000e+00 1.50000000e+00 1.00000000e+00 ... -1.37349139e-11\n -1.54503353e-11 -4.45432942e-13]"", ""y"": ""[]"", ""z"": ""[8.50053334e+00 1.28456807e-02 4.65360163e+00 ... 5.00000000e+00\n 4.50000000e+00 4.05000000e+01]"", ""s"": ""[9.35586169e-12 5.85830183e-09 1.62751891e-11 ... 1.51897487e-11\n 1.69046208e-11 1.89941546e-12]"", ""info"": {""exitFlag"": 0, ""pcost"": -68464.29329362165, ""dcost"": -68464.29329462124, ""pres"": 9.427107479310988e-15, ""dres"": 1.912366896366585e-14, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.8368857028275033, ""gap"": 0.00014359831718604692, ""relgap"": 2.0974191111591447e-09, ""r0"": 1e-08, ""iter"": 22, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.10134295800000001, ""tsetup"": 0.016291333, ""tsolve"": 0.085051625}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2758,cvxpy_osqp,unknown,NETLIB,fit2p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:56:42,5.701339960098267,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2759,cvxpy_cvxopt,unknown,NETLIB,fit2p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:58:44,120.0,TIMEOUT,,,,,,,"{""timeout_duration"": 120.0, ""problem_class"": ""LP""}" +2760,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,fit2p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:00:41,113.6813497543335,OPTIMAL,68464.299071921,68464.29907192133,-3.2014213502407074e-10,1.896951086848521e-12,8.361773308648789e-12,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 68464.29907192133, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2761,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,fit2p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:00:48,3.923588991165161,OPTIMAL,49275.15328057279,68464.29329383207,-19189.140013259283,0.9668617642500169,1.0707046840532644e-16,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 68464.29329383207, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2762,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,fit2p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:00:54,2.4629318714141846,OPTIMAL,68464.29329383207,68464.29329383207,0.0,3.1064239548534886e-17,1.4334994262964018e-16,7076,"{""solver_solve_time"": 0.7600375842303038, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 68464.29329383207, ""solver_stats"": {""solve_time"": 0.7600375842303038, ""num_iters"": 7076, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2763,scipy_linprog,scipy-1.15.3,NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:00:55,0.0011279582977294922,INFEASIBLE,,,,,,0,"{""solver_solve_time"": 0.0011279582977294922, ""original_status"": {""scipy_status"": 2, ""scipy_success"": false, ""scipy_message"": ""The problem is infeasible. 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3.93689234e+08 -8.19782972e-16\n 3.93689234e+08 -3.90503093e+08 -1.78370962e+07 -1.80839952e+07\n -1.80847730e+07 -1.80853077e+07 -1.80856480e+07 -1.80858911e+07\n -3.92558068e+08 -3.87946833e+08]"", ""y"": ""[]"", ""z"": ""[1.61919844e+04 1.66121643e+04 1.68459931e+04 1.55675643e+04\n 1.67254055e+04 1.55683888e+04 1.67245810e+04 1.55689554e+04\n 1.67240144e+04 1.55693159e+04 1.67236539e+04 1.55695734e+04\n 1.67233965e+04 1.61624844e+04 3.89517841e+13 1.61464844e+04\n 1.61464844e+04 1.61464844e+04 1.61464844e+04 1.61464844e+04\n 1.61464844e+04 1.61464844e+04 1.61464844e+04 1.61464844e+04\n 1.61464844e+04 1.61464844e+04 3.89517841e+13 3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 2.31250270e+02\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464844e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464844e+04 1.61464844e+04\n 1.61464844e+04 1.61464844e+04 1.61464844e+04 1.61464844e+04\n 1.61464844e+04 1.61464844e+04 1.61464844e+04 1.61464844e+04\n 3.89517841e+13 1.61464845e+04 1.61919844e+04 3.13680802e+05\n 3.14725402e+05 3.14724577e+05 3.14724011e+05 3.14723650e+05\n 3.14723393e+05 1.61624844e+04 1.62294848e+04]"", ""s"": ""[3.90503093e+08 3.87651102e+08 3.69814006e+08 3.94457140e+08\n 3.76373144e+08 3.94433551e+08 3.76348778e+08 3.94417335e+08\n 3.76332027e+08 3.94407017e+08 3.76321369e+08 3.94399647e+08\n 3.76313755e+08 3.92558067e+08 1.64154212e-01 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 4.00808005e+11\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 1.64154212e-01 3.93689234e+08 3.90503093e+08 1.78370898e+07\n 1.80839888e+07 1.80847666e+07 1.80853013e+07 1.80856416e+07\n 1.80858846e+07 3.92558067e+08 3.87946832e+08]"", ""info"": {""exitFlag"": 2, ""pcost"": -924479238215.9592, ""dcost"": -32.04395802918402, ""pres"": 0.4068278425068653, ""dres"": 0.1363092638424019, ""pinf"": 0.0, ""dinf"": 1.0, ""pinfres"": NaN, ""dinfres"": 1.0950988144939399e-09, ""gap"": 0.00769988658193687, ""relgap"": 8.328890756698821e-15, ""r0"": 1e-08, ""iter"": 6, ""mi_iter"": -1, ""infostring"": ""Dual infeasible"", ""timing"": {""runtime"": 0.000253666, ""tsetup"": 5.1291e-05, ""tsolve"": 0.000202375}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2767,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:00:58,0.003693103790283203,UNBOUNDED,,,,,,,"{""solver_solve_time"": 0.00026045800000000003, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.00026045800000000003, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([-3.81217337e-02, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -5.25815972e-05, -3.83023955e-05,\n -3.83023934e-05, -3.83023920e-05, -3.83023911e-05, -3.83023905e-05,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.00000000e+00, -1.00000000e+00,\n -1.00000000e+00, -1.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.13337213e-16, 2.18607528e-07, -8.23108393e-08,\n -8.23066401e-08, -8.23038467e-08, -8.23020774e-08, -8.23008526e-08,\n 4.04399265e-17, -5.59135051e-10]), info=namespace(_pybind11_conduit_v1_=>, status='dual infeasible', status_val=5, status_polish=0, obj_val=-1e+30, prim_res=2.687094878197107e-07, dual_res=219120.00000000003, iter=75, rho_updates=1, rho_estimate=1e-06, setup_time=7.9833e-05, solve_time=0.000180625, update_time=0.0, polish_time=0.0, run_time=0.00026045800000000003))""}}, ""problem_class"": ""LP""}" +2768,cvxpy_cvxopt,unknown,NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:00:59,0.0029587745666503906,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2769,cvxpy_sdpa,unknown,NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:00:59,0.014292001724243164,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2770,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:00,0.0049800872802734375,UNBOUNDED,,,,,,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2771,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:01,0.00251007080078125,UNBOUNDED,,,,,,,"{""solver_solve_time"": 0.0002699997276067734, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.0002699997276067734, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2772,scipy_linprog,scipy-1.15.3,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:01,0.034844160079956055,OPTIMAL,-109585.73612927791,,,9.094947017729282e-12,,564,"{""solver_solve_time"": 0.034844160079956055, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -109585.73612927791, ""scipy_nit"": 564, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2773,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:02,0.06042003631591797,OPTIMAL,-109585.73637490899,-109585.73633519321,-3.9715770981274545e-05,2.8527382877579403e-10,8.404021152307607e-12,33,"{""solver_solve_time"": 0.043209921, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109585.73633519321, ""solver_stats"": {""solve_time"": 0.043209921, ""num_iters"": 33, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2774,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:04,0.5600399971008301,OPTIMAL,-109586.45012783087,-109586.35686549707,-0.09326233380124904,2.4300019839257184e-07,9.518386559337735e-07,5200,"{""solver_solve_time"": 0.5393895, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109586.35686549707, ""solver_stats"": {""solve_time"": 0.5393895, ""setup_time"": 0.002366416, ""num_iters"": 5200, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 1.46031211e-07 -4.97555772e-08 -2.14122831e-07 ... -2.67467466e-06\n -2.58973050e-06 3.12198424e-06]"", ""y"": ""[15148.95054403 12525.84313751 15766.63287938 ... 44334.11456034\n 39734.48711519 11614.06755633]"", ""s"": ""[0. 0. 0. ... 0. 0. 0.]"", ""info"": {""status_val"": 1, ""iter"": 5200, ""scale_updates"": 3, ""scale"": 674.5442318037849, ""pobj"": 109586.35686549706, ""dobj"": 109586.45012783086, ""res_pri"": 1.3152335179750307e-05, ""res_dual"": 0.009578725324164922, ""gap"": 0.09326233379319815, ""res_infeas"": 0.9125124491518135, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 1.91888176047071e-11, ""solve_time"": 539.3895, ""setup_time"": 2.366416, ""lin_sys_time"": 459.2669830000011, ""cone_time"": 26.704262000000455, ""accel_time"": 8.604741000000148, ""rejected_accel_steps"": 45, ""accepted_accel_steps"": 4, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2775,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:04,0.05605292320251465,OPTIMAL,-109585.73613028837,-109585.73613012172,-1.666485331952572e-07,1.1965519443282648e-12,2.4451333009675557e-13,33,"{""solver_solve_time"": 0.038382583, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109585.73613012172, ""solver_stats"": {""solve_time"": 0.038382583, ""setup_time"": 0.000982583, ""num_iters"": 33, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 3.58298307e-13 3.95535940e-13 4.43138808e-13 ... -6.72581104e-13\n 7.82903085e-13 3.87316076e-14]"", ""y"": ""[]"", ""z"": ""[15888.94736566 12452.36729422 14452.83292394 ... 44437.48711623\n 39631.1480307 11614.06438852]"", ""s"": ""[7.04510690e-14 8.98928948e-14 7.74510640e-14 ... 2.51937630e-14\n 2.82487671e-14 9.63809447e-14]"", ""info"": {""exitFlag"": 0, ""pcost"": 109585.7361301218, ""dcost"": 109585.73613028837, ""pres"": 2.1698801641192155e-15, ""dres"": 1.0353556472608429e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.4527844625015827, ""dinfres"": NaN, ""gap"": 5.4689214738377766e-05, ""relgap"": 4.990541348680345e-10, ""r0"": 1e-08, ""iter"": 33, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.039365166, ""tsetup"": 0.000982583, ""tsolve"": 0.038382583}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2776,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:05,0.20675277709960938,OPTIMAL,-109580.66304570169,-109581.0256089913,0.36256328961462714,5.985533035502661e-06,6.98648333498056e-07,2900,"{""solver_solve_time"": 0.189841374, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109581.0256089913, ""solver_stats"": {""solve_time"": 0.189841374, ""num_iters"": 2900, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([6.19445063e-07, 6.21893035e-07, 6.20557836e-07, ...,\n 2.05540064e-06, 2.01399131e-06, 8.22422851e-07], shape=(1706,)), y=array([15027.25049534, 11854.3209278 , 13972.31694451, ...,\n 44506.56026412, 39563.9353335 , 11614.45105764], shape=(2103,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2103,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1706,)), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=109581.02560899126, prim_res=4.815844848469719e-06, dual_res=0.39578710462715455, iter=2900, rho_updates=0, rho_estimate=0.04900375144130281, setup_time=0.00156375, solve_time=0.187232291, update_time=0.0, polish_time=0.001045333, run_time=0.189841374))""}}, ""problem_class"": ""LP""}" +2777,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:14,8.22394609451294,OPTIMAL,-109585.7758379213,-109585.76914306471,-0.006694856594549492,4.8094940066562525e-08,1.2952949061913878e-09,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109585.76914306471, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2778,cvxpy_sdpa,unknown,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:15,0.13807916641235352,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2779,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:16,0.07585930824279785,OPTIMAL,-109585.73612927785,-109585.73612927811,2.6193447411060333e-10,1.2045918452277633,9.11822315196359e-15,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109585.73612927811, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2780,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:17,0.03281998634338379,OPTIMAL,-109585.73612927814,-109585.7361292782,5.820766091346741e-11,3.7648257104679316e-17,1.1403314017089986e-14,880,"{""solver_solve_time"": 0.012828124687075615, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109585.7361292782, ""solver_stats"": {""solve_time"": 0.012828124687075615, ""num_iters"": 880, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2781,scipy_linprog,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:18,0.5794591903686523,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:18 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:18 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:18 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:18 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with scipy_linprog\n2026-07-05 18:01:18 - python_solver_runner - INFO - Solving gfrd_pnc with scipy_linprog\n2026-07-05 18:01:18 - solver_scipy_linprog - INFO - Initialized SciPy solver with method 'highs'\n2026-07-05 18:01:18 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:18 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2782,cvxpy_clarabel,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:18,0.5798001289367676,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:18 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:18 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:18 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:18 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_clarabel\n2026-07-05 18:01:18 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_clarabel\n2026-07-05 18:01:18 - solver_cvxpy_clarabel - INFO - Initialized CVXPY solver 'cvxpy_clarabel' with backend 'CLARABEL'\n2026-07-05 18:01:18 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:18 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2783,cvxpy_scs,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:19,0.6517829895019531,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:19 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:19 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:19 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:19 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_scs\n2026-07-05 18:01:19 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_scs\n2026-07-05 18:01:19 - solver_cvxpy_scs - INFO - Initialized CVXPY solver 'cvxpy_scs' with backend 'SCS'\n2026-07-05 18:01:19 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:19 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2784,cvxpy_ecos,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:19,0.5855271816253662,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:19 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:19 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:19 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:19 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_ecos\n2026-07-05 18:01:19 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_ecos\n2026-07-05 18:01:19 - solver_cvxpy_ecos - INFO - Initialized CVXPY solver 'cvxpy_ecos' with backend 'ECOS'\n2026-07-05 18:01:19 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:19 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2785,cvxpy_osqp,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:20,0.5246739387512207,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:20 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:20 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:20 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:20 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_osqp\n2026-07-05 18:01:20 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_osqp\n2026-07-05 18:01:20 - solver_cvxpy_osqp - INFO - Initialized CVXPY solver 'cvxpy_osqp' with backend 'OSQP'\n2026-07-05 18:01:20 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:20 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2786,cvxpy_cvxopt,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:21,0.5682611465454102,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:20 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:20 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:20 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:20 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_cvxopt\n2026-07-05 18:01:20 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_cvxopt\n2026-07-05 18:01:20 - solver_cvxpy_cvxopt - INFO - Initialized CVXPY solver 'cvxpy_cvxopt' with backend 'CVXOPT'\n2026-07-05 18:01:20 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:20 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2787,cvxpy_sdpa,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:21,0.659430980682373,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:21 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:21 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:21 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:21 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_sdpa\n2026-07-05 18:01:21 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_sdpa\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/cvxpy/problems/problem.py:1504: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n warnings.warn(\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/sdpap/sdpaputils.py:114: RuntimeWarning: k >= N - 1 for N * N square matrix. Attempting to use scipy.linalg.eig instead.\n eig = eigs(mat.toarray(), k=1, which='SM',\n2026-07-05 18:01:21 - solver_cvxpy_sdpa - INFO - Initialized CVXPY solver 'cvxpy_sdpa' with backend 'SDPA'\n2026-07-05 18:01:21 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:21 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2788,cvxpy_scip,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:22,0.570828914642334,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:22 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_scip\n2026-07-05 18:01:22 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_scip\n2026-07-05 18:01:22 - solver_cvxpy_scip - INFO - Initialized CVXPY solver 'cvxpy_scip' with backend 'SCIP'\n2026-07-05 18:01:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2789,cvxpy_highs,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:22,0.5864620208740234,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:22 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_highs\n2026-07-05 18:01:22 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_highs\n2026-07-05 18:01:22 - solver_cvxpy_highs - INFO - Initialized CVXPY solver 'cvxpy_highs' with backend 'HIGHS'\n2026-07-05 18:01:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2790,scipy_linprog,scipy-1.15.3,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:24,0.27950096130371094,OPTIMAL,-72555539.72984597,,,0.0,,2942,"{""solver_solve_time"": 0.27950096130371094, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -72555539.72984597, ""scipy_nit"": 2942, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2791,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:27,1.006890058517456,OPTIMAL,-72462797.52317087,-72462797.37399621,-0.14917466044425964,2.9135073544201153e-07,1.360273825189103e-10,44,"{""solver_solve_time"": 0.923988379, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -72462797.37399621, ""solver_stats"": {""solve_time"": 0.923988379, ""num_iters"": 44, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2792,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:10,41.37846302986145,OPTIMAL (INACCURATE),-65259701.23942912,-65257384.55879246,-2316.680636666715,6.3759538290874915e-06,1.7139823106787383e-05,100000,"{""solver_solve_time"": 41.279718791, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -65257384.55879246, ""solver_stats"": {""solve_time"": 41.279718791, ""setup_time"": 0.016216583, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 3.21712119e+02 3.12669635e+02 1.18465562e+02 ... -1.48138455e-02\n -6.78117971e-04 -1.08786712e-02]"", ""y"": ""[2.00790922e-12 0.00000000e+00 7.56955247e+05 ... 5.99000252e+02\n 2.99999130e+01 4.66984097e+02]"", ""s"": ""[267926.89441097 329652.94284373 0. ... 0.\n 0. 0. ]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 4, ""scale"": 0.09294274055972013, ""pobj"": 65257384.55879245, ""dobj"": 65259701.2394291, ""res_pri"": 14.83280861811499, ""res_dual"": 0.0791093527250682, ""gap"": 2316.6806366492488, ""res_infeas"": 0.0001829306566421614, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 1.4830011066682256e-07, ""solve_time"": 41279.718791, ""setup_time"": 16.216583, ""lin_sys_time"": 37010.84347800043, ""cone_time"": 1709.4686100001488, ""accel_time"": 349.86848200011565, ""rejected_accel_steps"": 906, ""accepted_accel_steps"": 0, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2793,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:12,0.556617021560669,OPTIMAL,-72462740.61998469,-72462740.60145164,-0.018533051013946533,3.5232162714099106e-08,1.3427364443523437e-10,43,"{""solver_solve_time"": 0.468609291, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -72462740.60145164, ""solver_stats"": {""solve_time"": 0.468609291, ""setup_time"": 0.006584333, ""num_iters"": 43, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 2.48776878e+02 2.40515895e+02 1.00000002e+02 ... -9.21434404e-07\n -1.97463392e-05 -1.20170601e-06]"", ""y"": ""[]"", ""z"": ""[1.05984389e-06 1.16807256e-06 8.30207588e+05 ... 5.99000001e+02\n 3.00000013e+01 4.66986248e+02]"", ""s"": ""[5.61113573e+02 5.09113510e+02 7.16252048e-10 ... 9.92729903e-07\n 1.98185701e-05 1.27317552e-06]"", ""info"": {""exitFlag"": 0, ""pcost"": 72462740.60145162, ""dcost"": 72462740.61998464, ""pres"": 5.531353812007212e-09, ""dres"": 2.4103771070185514e-09, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.01044203126777328, ""dinfres"": NaN, ""gap"": 0.04704216735564116, ""relgap"": 6.491911146770414e-10, ""r0"": 1e-08, ""iter"": 43, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.475193624, ""tsetup"": 0.006584333, ""tsolve"": 0.468609291}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2794,cvxpy_osqp,unknown,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:17,3.6440210342407227,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2795,cvxpy_cvxopt,unknown,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:19,1.0067718029022217,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2796,cvxpy_sdpa,unknown,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:21,0.5677719116210938,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2797,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:23,0.5403242111206055,OPTIMAL,9922724.412516579,-72555539.72984597,82478264.14236255,31.312079271632566,2.623474614676416e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -72555539.72984597, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2798,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:25,0.7787389755249023,OPTIMAL,-72555539.72984585,-72555539.72984591,5.960464477539063e-08,1.0220186830248202e-12,2.7446727631688247e-17,7068,"{""solver_solve_time"": 0.6877890843898058, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -72555539.72984591, ""solver_stats"": {""solve_time"": 0.6877890843898058, ""num_iters"": 7068, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2799,scipy_linprog,scipy-1.15.3,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:27,0.43603992462158203,OPTIMAL,-4316050.50268883,,,0.0,,4849,"{""solver_solve_time"": 0.43603992462158203, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -4316050.50268883, ""scipy_nit"": 4849, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2800,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:30,1.2379369735717773,OPTIMAL,-4287665.46378946,-4316050.982433076,28385.518643615767,0.07600710114700288,5.860036329026364e-14,57,"{""solver_solve_time"": 1.140364419, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4316050.982433076, ""solver_stats"": {""solve_time"": 1.140364419, ""num_iters"": 57, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2801,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:12,40.30504393577576,OPTIMAL (INACCURATE),-4285660.668917581,-4313462.073521448,27801.40460386686,0.07600725658503665,2.528603898082728e-07,100000,"{""solver_solve_time"": 40.197895541, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -4313462.073521448, ""solver_stats"": {""solve_time"": 40.197895541, ""setup_time"": 0.016663458, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 1.30872622e-01 3.16711849e+00 1.57164083e+01 ... -1.34955073e-03\n -6.43562874e+00 -3.88195431e-03]"", ""y"": ""[-1.63841676e-05 -4.22489450e-05 9.04000070e+02 ... 2.30000012e+02\n 0.00000000e+00 6.64000000e+02]"", ""s"": ""[0. 0. 0. ... 0. 6.43562874 0. ]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 0, ""scale"": 0.1, ""pobj"": 4313462.073521448, ""dobj"": 4314046.271109075, ""res_pri"": 0.5066591175812842, ""res_dual"": 0.005007374748538409, ""gap"": 584.1975876263575, ""res_infeas"": 0.002755881430323742, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 4.6579982420028253e-07, ""solve_time"": 40197.895541, ""setup_time"": 16.663458, ""lin_sys_time"": 36159.35532200008, ""cone_time"": 1541.4509170000542, ""accel_time"": 336.32528400011984, ""rejected_accel_steps"": 909, ""accepted_accel_steps"": 0, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2802,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:14,0.738361120223999,OPTIMAL,-4287665.166577859,-4316050.729884949,28385.56330708973,0.07600718667915168,1.247942020734608e-12,67,"{""solver_solve_time"": 0.631596166, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4316050.729884949, ""solver_stats"": {""solve_time"": 0.631596166, ""setup_time"": 0.006585875, ""num_iters"": 67, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 1.31178100e-01 2.92294691e+00 1.57150720e+01 ... -5.98469403e-07\n -2.01124046e+02 -1.88622373e-07]"", ""y"": ""[5.88595897e-04 4.91903949e-05 9.03999093e+02 6.22750004e-05]"", ""z"": ""[4.76432547e-07 4.65139819e-07 4.64328759e-07 ... 2.30000001e+02\n 7.20753623e-07 6.63999569e+02]"", ""s"": ""[3.04021735e+02 3.11317084e+02 3.11838690e+02 ... 6.27795845e-07\n 2.01124046e+02 2.17476958e-07]"", ""info"": {""exitFlag"": 0, ""pcost"": 4316050.72988495, ""dcost"": 4316050.738108498, ""pres"": 1.6660479208088599e-09, ""dres"": 9.237303423319572e-09, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.4600901829216886, ""dinfres"": NaN, ""gap"": 0.04279000524698182, ""relgap"": 9.914157141195812e-09, ""r0"": 1e-08, ""iter"": 67, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.638182041, ""tsetup"": 0.006585875, ""tsolve"": 0.631596166}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2803,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:21,4.2566399574279785,OPTIMAL (INACCURATE),-4293537.182714458,-4322265.7361975135,28728.553483055905,0.07600366825088732,1.857310503342599e-07,10000,"{""solver_solve_time"": 4.099151791, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -4322265.7361975135, ""solver_stats"": {""solve_time"": 4.099151791, ""num_iters"": 10000, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([-4.25405966e-02, 2.69054690e+00, 1.57152347e+01, ...,\n -1.52795107e-05, -1.24228569e-05, -1.30254662e-05], shape=(2798,)), y=array([ 7.72331149e-06, -1.51486216e-04, 9.03996240e+02, ...,\n 2.30001764e+02, 1.52921771e-03, 6.63999958e+02], shape=(6004,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(6004,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2798,)), info=namespace(_pybind11_conduit_v1_=>, status='solved inaccurate', status_val=2, status_polish=0, obj_val=4322265.736197514, prim_res=0.2054966211309771, dual_res=0.3465509858961531, iter=10000, rho_updates=4, rho_estimate=9.858563451691573e-05, setup_time=0.019955916, solve_time=4.079195875, update_time=0.0, polish_time=0.0, run_time=4.099151791))""}}, ""problem_class"": ""LP""}" +2804,cvxpy_cvxopt,unknown,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:24,1.1373038291931152,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2805,cvxpy_sdpa,unknown,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:26,0.6281998157501221,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2806,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:28,1.2069509029388428,OPTIMAL,-4126733.1511527835,-4316050.502688831,189317.35153604718,3.089612744677008,1.792064108687187e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4316050.502688831, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2807,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:31,0.6263570785522461,OPTIMAL,-4287664.902688831,-4316050.502688831,28385.599999999627,0.07600725462324458,1.373218525755333e-18,5680,"{""solver_solve_time"": 0.5018408317118883, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4316050.502688831, ""solver_stats"": {""solve_time"": 0.5018408317118883, ""num_iters"": 5680, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2808,scipy_linprog,scipy-1.15.3,NETLIB,grow15,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:31,0.03685903549194336,OPTIMAL,-106870941.29357536,,,0.0,,937,"{""solver_solve_time"": 0.03685903549194336, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -106870941.29357536, ""scipy_nit"": 937, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2809,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,grow15,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:32,0.01896190643310547,OPTIMAL,-106870941.30711296,-106870941.30200192,-0.005111038684844971,1.8295598430259623e-10,1.8219603456288594e-11,13,"{""solver_solve_time"": 0.012049334, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -106870941.30200192, ""solver_stats"": {""solve_time"": 0.012049334, ""num_iters"": 13, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2810,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,grow15,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:33,0.009195089340209961,UNBOUNDED,,,,,,0,"{""solver_solve_time"": 0.00013700000000000002, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.00013700000000000002, ""setup_time"": 0.001647875, ""num_iters"": 0, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 6.43422666e-09 3.45129231e-09 8.33023187e-09 -2.56808879e-09\n -5.39624648e-09 8.60704130e-10 -2.59992469e-09 -2.44473984e-09\n -1.09661302e-10 2.85282952e-09 -2.19058935e-09 -3.49752443e-09\n -6.20066367e-09 -4.10403985e-09 -3.17970035e-09 -2.17488400e-09\n -2.00401464e-09 -3.26091301e-10 8.72804284e-10 -7.15439476e-09\n 4.20628813e-09 1.72157737e-09 5.69982082e-09 -3.25851154e-09\n -7.23421915e-09 -6.32045328e-10 -3.42086161e-09 -3.16629238e-09\n -1.02763798e-09 1.85494878e-09 -3.02413850e-09 -4.25737648e-09\n -7.61452646e-09 -6.68333198e-09 -4.12380448e-09 -2.86631116e-09\n -2.85250197e-09 -8.09306501e-10 3.55876419e-10 -1.29492619e-08\n 3.44601279e-09 1.06469553e-09 4.92089816e-09 -3.89214899e-09\n -8.47537826e-09 -1.62932522e-09 -4.06418738e-09 -3.80973008e-09\n -1.75303632e-09 1.13883524e-09 -3.72696173e-09 -4.97095690e-09\n -8.61456436e-09 -8.19573432e-09 -4.90226794e-09 -3.43466583e-09\n -3.49184117e-09 -1.17235465e-09 -5.69153438e-11 -1.56057160e-08\n 3.10895930e-09 7.59562359e-10 4.60896702e-09 -4.34874654e-09\n -9.24252866e-09 -2.23061026e-09 -4.51905907e-09 -4.28267542e-09\n -2.26072024e-09 6.99234550e-10 -4.22639249e-09 -5.51918160e-09\n -9.27672639e-09 -9.10054586e-09 -5.40359234e-09 -3.80992556e-09\n -3.91448968e-09 -1.41298036e-09 -3.38445415e-10 -1.69034161e-08\n 2.93642687e-09 6.00773594e-10 4.45701085e-09 -4.64651295e-09\n -9.69829013e-09 -2.57936816e-09 -4.82091846e-09 -4.59898767e-09\n -2.59344026e-09 4.41991786e-10 -4.55296304e-09 -5.89937387e-09\n -9.69527660e-09 -9.64195527e-09 -5.69938855e-09 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4.11129192e-09 2.08121690e-08]"", ""y"": ""[]"", ""z"": ""[323358.90115028 90792.72478186 314327.13562377 ... 16579.4995822\n 11319.49774917 552362.99863368]"", ""s"": ""[9.62989172e-10 3.42209010e-09 9.90429272e-10 ... 1.88415476e-08\n 2.82988750e-08 5.64575321e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": 106870941.29648253, ""dcost"": 106870941.30298789, ""pres"": 2.2960852913416225e-10, ""dres"": 1.0489491703960899e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.98032306804032, ""dinfres"": NaN, ""gap"": 0.5326214405701686, ""relgap"": 4.983781691041188e-09, ""r0"": 1e-08, ""iter"": 13, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.008741458, ""tsetup"": 0.0006405, ""tsolve"": 0.008100958}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2812,cvxpy_osqp,unknown,NETLIB,grow15,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:34,0.44054079055786133,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2813,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,grow15,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:35,0.0760197639465332,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2814,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,grow15,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:36,0.26857614517211914,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2815,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,grow15,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:37,0.1304941177368164,OPTIMAL,-106870941.29357535,-106870941.29357535,0.0,0.7077752235308163,3.635801449596207e-16,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -106870941.29357535, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2816,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,grow15,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:38,0.014799833297729492,OPTIMAL,-106870941.29357533,-106870941.29357533,0.0,1.0785442193890773e-15,6.762117241185102e-16,354,"{""solver_solve_time"": 0.007336415350437164, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -106870941.29357533, ""solver_stats"": {""solve_time"": 0.007336415350437164, ""num_iters"": 354, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2817,scipy_linprog,scipy-1.15.3,NETLIB,grow22,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:38,0.08617305755615234,OPTIMAL,-160834336.48256296,,,0.0,,1934,"{""solver_solve_time"": 0.08617305755615234, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -160834336.48256296, ""scipy_nit"": 1934, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2818,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,grow22,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:39,0.03456997871398926,OPTIMAL,-160834338.38490272,-160834337.94895858,-0.435944139957428,1.0532359410357496e-08,8.437033236917493e-10,13,"{""solver_solve_time"": 0.02060338, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -160834337.94895858, ""solver_stats"": {""solve_time"": 0.02060338, ""num_iters"": 13, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2819,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,grow22,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:40,0.014000177383422852,UNBOUNDED,,,,,,0,"{""solver_solve_time"": 0.000176708, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.000176708, ""setup_time"": 0.002293916, ""num_iters"": 0, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[4.36796622e-09 2.34195926e-09 5.65600896e-09 ... 3.39073200e-11\n 1.13313444e-10 2.69598310e-09]"", ""y"": ""[nan nan nan ... nan nan nan]"", ""s"": ""[0. 0. 0. ... 0. 0. 0.]"", ""info"": {""status_val"": -1, ""iter"": 0, ""scale_updates"": 0, ""scale"": 0.1, ""pobj"": -Infinity, ""dobj"": -Infinity, ""res_pri"": NaN, ""res_dual"": NaN, ""gap"": NaN, ""res_infeas"": 0.016116862391662146, ""res_unbdd_a"": 1.4233853022606295e-08, ""res_unbdd_p"": 0.0, ""comp_slack"": 6.889770584746668e-07, ""solve_time"": 0.176708, ""setup_time"": 2.293916, ""lin_sys_time"": 0.055458, ""cone_time"": 0.0065, 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""LP""}" +2822,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,grow22,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:43,0.2312929630279541,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2824,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,grow22,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:45,0.2643702030181885,OPTIMAL,-160834336.482563,-160834336.48256296,-2.9802322387695312e-08,0.7120311400035557,4.610139016528211e-16,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -160834336.48256296, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2825,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,grow22,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:45,0.02472996711730957,OPTIMAL,-160834336.48256296,-160834336.48256296,0.0,9.862740795181989e-16,6.279120665422676e-16,521,"{""solver_solve_time"": 0.011800289154052734, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -160834336.48256296, ""solver_stats"": {""solve_time"": 0.011800289154052734, ""num_iters"": 521, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2826,scipy_linprog,scipy-1.15.3,NETLIB,grow7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:46,0.010375022888183594,OPTIMAL,-47787811.814711556,,,0.0,,353,"{""solver_solve_time"": 0.010375022888183594, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -47787811.814711556, ""scipy_nit"": 353, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2827,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,grow7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:47,0.010517120361328125,OPTIMAL,-47787811.87925256,-47787811.846856184,-0.03239637613296509,2.4567207543673077e-09,3.9499677356390655e-10,12,"{""solver_solve_time"": 0.0065165, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -47787811.846856184, ""solver_stats"": {""solve_time"": 0.0065165, ""num_iters"": 12, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2828,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,grow7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 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5.72756633e+04 1.98900278e+04 6.05209876e-06 1.42796527e+04\n 1.66244640e+04 1.80271025e+04 1.42793466e+05 2.54257670e+05\n 5.66339253e+03 1.44656359e+04 3.69595042e+04 7.38274373e+03\n 1.23642633e+04 7.47805268e+05 7.50000000e+05 9.77245408e-05\n 9.20466738e-05 2.13888231e+05 2.38374023e+05 3.65218321e+05\n 2.58686245e+03 6.54570970e+04 3.13366999e+04 2.76177673e+04\n 1.03430631e+04 2.63239671e+04 9.26724760e+03 1.41855600e+04\n 1.03255036e+04 6.74790379e+04 1.66977655e+05 2.47480615e+03\n 5.44410410e+03 1.73876535e+04 1.13145973e+04 6.32511849e+03\n 4.12817053e+05 4.48404739e+03 1.44333454e+05 6.72951156e+04\n 6.07043769e+04 2.35072966e+04 5.97053792e-06 1.48600463e+04\n 2.51893623e+04 2.20633825e+04 1.44149633e+05 3.04585260e+05\n 5.74136962e+03 1.51422138e+04 3.83464038e+04 1.36136193e+04\n 1.37425060e+04 8.20604998e+05 2.15191853e-04 4.83473462e+05\n 5.67643992e-05 3.70069095e+05 2.38454693e+05 4.74602308e+05\n 2.80385768e+03 7.61722864e+04 5.40457169e+04 3.05999542e+04\n 1.21577807e+04 3.11685491e+04 1.23906647e+04 1.40223789e+04\n 1.03655867e+04 6.88437553e+04 1.85686093e+05 2.56452610e+03\n 5.72150312e+03 2.11699216e+04 9.16492956e+03 6.42935536e+03\n 4.86855865e+05 4.45767855e+03 1.24424720e+05 6.93632096e+04\n 5.47444570e+04 1.75953499e+04 5.86530662e-06 1.59640045e+04\n 1.87516757e+04 2.01851666e+04 1.44471637e+05 2.40806362e+05\n 5.78938437e+03 1.55993003e+04 3.90361412e+04 1.25156552e+04\n 1.46567926e+04 6.94993273e+05 7.50000000e+05 5.00000000e+05\n 9.21440619e-05 2.18576004e+05 1.67031795e+05 3.58235146e+05\n 2.93046208e+03 7.12356820e+04 3.62143640e+04 2.91057978e+04\n 1.19402349e+04 2.30949127e+04 9.63973756e+03 1.53769146e+04\n 1.22412606e+04 7.12201676e+04 1.71342377e+05 2.81213304e+03\n 7.32842330e+03 2.01812642e+04 1.00781254e+04 8.37845765e+03\n 4.47719325e+05 6.44630921e+03 1.48403961e+05 6.83510380e+04\n 6.13843487e+04 2.57378795e+04 6.17572455e-06 1.80928375e+04\n 2.95551884e+04 2.55620969e+04 1.46020483e+05 2.97894992e+05\n 5.82677862e+03 1.64254511e+04 4.58332935e+04 1.65347251e+04\n 1.86628474e+04 8.43958154e+05 1.60582196e-04 2.71611051e+05\n 2.29214529e-04 3.75000000e+05 2.50000000e+05 5.00000000e+05\n 4.54600001e+03 8.54725000e+04 5.94645000e+04 3.33285000e+04\n 1.53625000e+04 3.14540001e+04 1.70200000e+04 2.05905000e+04\n 1.47410000e+04 7.37725000e+04 1.90631000e+05 2.96049928e+03\n 8.66549973e+03 3.09654998e+04 1.38770838e+04 1.13194995e+04\n 5.52363000e+05 2.84601417e+03 1.29329819e+05 1.07284677e+05\n 5.27552149e+04 1.83817278e+04 2.42818148e-05 1.50520047e+04\n 7.68879126e+03 1.31226480e+04 1.40847918e+05 2.23971315e+05\n 5.54744907e+03 1.39132287e+04 3.80778551e+04 3.65736233e-04\n 1.10782627e+04 7.03084739e+05 7.14957593e+05 4.62339641e-05\n 7.06611939e-04 3.75000000e+05 2.50000000e+05 4.99999999e+05\n 4.54599985e+03 8.54724996e+04 5.94644997e+04 3.33284999e+04\n 1.53624999e+04 3.14540000e+04 1.70199997e+04 2.05904997e+04\n 1.47409998e+04 7.37724998e+04 1.90631000e+05 2.96049982e+03\n 8.66549883e+03 3.09654991e+04 1.65794998e+04 1.13194983e+04\n 5.52362998e+05]"", ""s"": ""[9.32740083e-10 3.16701805e-09 9.72508162e-10 3.52819002e-08\n 6.08606929e-09 4.19789331e-09 1.13816664e-08 1.32933419e-08\n 4.41170773e-09 1.13815701e-08 1.00725701e-08 1.38639890e-08\n 1.61845989e-08 2.10892336e-09 2.67823851e-07 4.13621492e-08\n 7.43651950e-09 1.16123501e-08 1.87517857e-08 7.49170564e-10\n 4.22978130e+00 3.00000007e+00 6.90552072e-01 1.50034436e-09\n 3.83886508e-09 1.00995317e-09 1.82592556e-07 1.08825966e-08\n 1.03777057e-08 3.32190442e-08 5.28923906e-08 1.93381052e-08\n 3.32940653e-08 3.74321313e-08 6.59700501e-08 3.80177379e-08\n 7.72177428e-09 4.47186417e-07 8.75557585e-08 2.09253417e-08\n 3.48279474e-08 6.08462350e-08 1.69087368e-09 3.44754125e-10\n 3.31728919e-09 3.62626123e-10 4.09428991e-08 6.98746589e-09\n 4.09060749e-09 2.18030429e-08 1.97588596e-08 4.42111461e-09\n 1.16298132e-08 1.17232947e-08 1.99308642e-08 3.66457617e-08\n 2.39592966e-09 5.99184967e-07 7.19197995e-08 8.69945375e-09\n 1.18811927e-08 2.38156090e-08 7.76970815e-10 4.17995485e-10\n 4.84703577e-08 3.34685090e-10 7.77596011e-09 2.04773465e-09\n 1.84666895e-09 1.48794023e-07 1.08179157e-08 1.83452950e-08\n 3.47025998e-08 4.71187954e-08 8.36365474e-08 3.99803463e-08\n 2.91334253e-08 4.88919397e-08 3.71048926e-08 8.14896276e-09\n 4.03182621e-07 7.78899172e-08 2.18711297e-08 2.79999874e-08\n 5.20136113e-08 1.79917249e-09 1.39956677e-09 6.80911156e-10\n 3.35540371e-10 4.91749896e-08 7.79976833e-09 6.85603090e-09\n 2.85728612e-08 2.48134206e-08 4.43353159e-09 1.38227506e-08\n 1.11489283e-08 2.35342909e-08 5.61940327e-08 2.23502547e-09\n 8.88206244e-07 9.29888129e-08 1.09462625e-08 1.06251543e-08\n 2.63806193e-08 8.46562867e-10 4.22978129e+00 6.10648790e-10\n 3.41474591e-10 1.80388329e-09 2.33437262e-08 2.17476207e-09\n 1.35421685e-07 1.31106037e-08 9.55251827e-09 4.50958853e-08\n 5.23560704e-08 5.34153632e-08 3.43362976e-08 4.11741262e-08\n 5.97192904e-08 4.24704316e-08 1.14437564e-08 4.35902257e-07\n 8.24286471e-08 1.96260247e-08 5.05968902e-08 5.36234155e-08\n 2.07903815e-09 3.50075932e-10 1.45117222e-08 3.65426867e-10\n 5.78703661e-08 1.01964486e-08 5.34903800e-09 4.41630425e-08\n 3.62616777e-08 4.42899863e-09 1.41424323e-08 1.67586375e-08\n 3.55585764e-08 7.81294453e-08 3.62727465e-09 1.21336211e-06\n 1.21117203e-07 1.15229433e-08 1.39330526e-08 3.03024111e-08\n 1.03761899e-09 4.25911177e-10 2.07132950e-08 3.35776391e-10\n 5.16035706e-08 2.20859230e-08 1.14541272e-08 1.52718144e-07\n 2.71351749e-08 4.47074363e-08 8.94557594e-08 7.87155552e-08\n 8.25513896e-07 5.56057424e-08 3.94452233e-08 5.95103997e-08\n 5.50438834e-08 4.90511590e-08 4.88072145e-07 8.98845413e-08\n 2.66638979e-08 3.60779301e-08 5.47565793e-08 4.43008732e-09\n 1.19430345e-09 3.19172100e-09 2.99328889e-10 5.84946833e-08\n 6.14328852e-09 5.68497860e-09 2.35925735e-08 2.12208082e-08\n 4.45512047e-09 1.52524443e-08 1.23374931e-08 2.93785889e-08\n 8.34092745e-08 2.05436565e-09 1.58419016e-06 1.53182450e-07\n 1.20736135e-08 1.32766439e-08 3.36880536e-08 7.35519923e-10\n 4.22978123e+00 3.00000002e+00 3.39835701e-10 1.83782366e-09\n 3.32513129e-09 2.06801773e-09 1.66891768e-07 1.89503239e-08\n 1.16145719e-08 6.21281158e-08 7.80641717e-08 3.19273893e-08\n 3.61255342e-08 5.02146283e-08 1.04386617e-07 1.10639613e-07\n 1.41711548e-08 1.84877333e-07 1.83912851e-07 2.44936279e-08\n 4.13003558e-08 8.84769393e-08 2.77641874e-09 3.57131711e-10\n 1.57001510e-09 3.79641346e-10 1.01316984e-07 1.20717021e-08\n 5.58593077e-09 5.04803731e-08 5.20286275e-08 4.46288166e-09\n 1.68870503e-08 2.26197111e-08 6.72205796e-08 1.52730507e-07\n 3.40763910e-09 1.66691595e-06 2.87818828e-07 1.67855707e-08\n 1.60851763e-08 6.54708947e-08 1.09500971e-09 4.25483189e-10\n 1.25104261e-09 3.40031872e-10 4.22978131e+00 3.20787768e+00\n 1.35894319e+00 4.93680949e+00 2.65070989e+00 3.35848719e+00\n 1.00439466e+01 7.05424770e+00 6.93938355e+01 2.71238150e+00\n 2.65445509e+00 3.92027580e+00 4.13538318e+00 4.49389222e+00\n 9.96954689e-01 8.50948513e-01 1.14676962e+00 9.23194672e-08\n 5.25440454e-01 8.91201732e-01 4.77848913e-09 5.21770306e-10\n 3.06368221e-10 4.24521774e-08 6.68625318e-09 2.28163267e-08\n 1.92152005e-08 2.17580465e-08 4.42546940e-09 1.42383209e-08\n 8.38747546e-09 1.68646865e-08 3.83250566e-08 1.81834819e-09\n 4.46876564e-07 7.12459891e-08 1.13393815e-08 8.34929136e-09\n 2.27146972e-08 7.84996835e-10 1.02047276e-08 6.02827680e-10\n 3.32527707e-10 9.99999913e-01 7.92122327e-01 3.31608847e-01\n 1.21035131e+00 6.32823508e-01 7.99329754e-01 2.37174416e+00\n 1.67691406e+00 1.62800537e+01 6.51232168e-01 6.57647231e-01\n 9.61998799e-01 9.86804778e-01 1.07056866e+00 2.42671854e-01\n 2.05479136e-01 2.77779389e-01 1.07627412e+00 1.31702400e-01\n 2.21585248e-01 1.81541525e-07 2.27844139e-09 5.30013518e-09\n 6.51789598e-09 2.67109722e-08 6.15328372e+01 2.71663182e-08\n 1.96102357e-08 2.77544783e-08 2.18815627e-09 1.20250539e-09\n 5.44635602e-08 2.51200095e-08 1.10649398e-08 2.83490543e-08\n 3.33052923e-08 4.82368627e-10 4.30401704e-10 6.14665542e-10\n 3.43858324e-10 1.60099652e-09 1.63876670e-09 1.43563715e-09\n 8.60553995e-08 4.65067229e-09 8.38086832e-09 1.09171648e-08\n 2.63798885e-08 1.57587796e-08 3.04396503e-08 2.03689130e-08\n 2.54077667e-08 4.20875924e-09 1.85852019e-09 1.12153908e-07\n 4.78507115e-08 1.52302313e-08 3.06897509e-08 3.90112483e-08\n 8.05631438e-10 1.05758392e-07 2.17149471e-09 5.46786615e-09\n 5.13865400e-09 1.61342765e-08 6.15328373e+01 2.59447276e-08\n 1.53836216e-08 1.72726577e-08 2.04027707e-09 1.12536697e-09\n 4.90453551e-08 2.00150821e-08 9.10059199e-09 2.68731724e-08\n 2.41843992e-08 4.75989073e-10 1.77021870e+00 6.55384650e-10\n 1.30944791e+00 8.71255592e-10 2.57297774e-09 8.72400576e-10\n 9.62186923e-08 4.65840300e-09 6.22785552e-09 1.07751667e-08\n 2.80880940e-08 9.74094949e-09 2.64226636e-08 2.40720282e-08\n 2.93283429e-08 4.22981173e-09 1.82965172e-09 1.15783785e-07\n 5.12883906e-08 1.47655947e-08 3.91088012e-08 4.37485839e-08\n 7.75278441e-10 7.36480813e-08 2.10482155e-09 3.56081754e-09\n 4.87522664e-09 1.38605971e-08 6.15328372e+01 1.91351535e-08\n 1.64913079e-08 1.52640207e-08 2.00401828e-09 1.16341380e-09\n 4.78166422e-08 1.88472359e-08 7.49823933e-09 3.68549715e-08\n 2.20185340e-08 4.57285701e-10 4.23331425e-10 2.99999993e+00\n 3.30944792e+00 1.36051282e-09 1.22066079e-09 8.19418433e-10\n 1.02718266e-07 4.34507352e-09 8.99165103e-09 1.00899328e-08\n 2.65661193e-08 1.04412158e-08 2.96152310e-08 1.94347642e-08\n 2.65256529e-08 4.18314683e-09 1.72761373e-09 1.15267827e-07\n 4.94587440e-08 1.59998577e-08 2.41012095e-08 4.26777228e-08\n 7.37291424e-10 6.01871779e-08 1.98504174e-09 4.15612336e-09\n 4.61044305e-09 1.18599441e-08 6.15328372e+01 1.85799968e-08\n 1.10956268e-08 1.25973088e-08 1.98521608e-09 9.81883222e-10\n 4.72055335e-08 1.80239732e-08 7.26280801e-09 2.01966503e-08\n 1.99001963e-08 4.22303001e-10 1.77021871e+00 7.11446193e-10\n 5.30944792e+00 8.04027647e-10 1.21576507e-09 6.39599315e-10\n 9.46402202e-08 3.74951696e-09 5.24082446e-09 9.14528097e-09\n 2.29515675e-08 8.87651082e-09 2.24180228e-08 1.99759712e-08\n 2.66801597e-08 4.10375698e-09 1.56217385e-09 1.16513636e-07\n 4.69971254e-08 1.32460590e-08 2.96830771e-08 4.19685483e-08\n 6.34211282e-10 5.94855169e-08 2.25297587e-09 3.97886966e-09\n 5.01118297e-09 1.50894545e-08 6.15328366e+01 1.69065075e-08\n 1.44015504e-08 1.35205561e-08 1.97342574e-09 1.21012342e-09\n 4.68741740e-08 1.74897598e-08 7.04216481e-09 2.17279790e-08\n 1.86641203e-08 4.79852407e-10 4.20570867e-10 6.08768784e-10\n 3.30944793e+00 1.35330636e-09 1.71595795e-09 8.31822996e-10\n 8.99606381e-08 3.90858917e-09 7.72358285e-09 9.49142922e-09\n 2.28471994e-08 1.20000437e-08 2.84654567e-08 1.80314268e-08\n 2.26743737e-08 3.95152755e-09 1.68595988e-09 1.12743613e-07\n 3.73694690e-08 1.38833783e-08 2.69250924e-08 3.25734275e-08\n 6.81387589e-10 4.22146447e-08 1.90586146e-09 4.04268672e-09\n 4.54025001e-09 1.07335053e-08 6.15328366e+01 1.54221679e-08\n 9.55160624e-09 1.09245716e-08 1.95256905e-09 9.97139518e-10\n 4.66158066e-08 1.66383068e-08 6.12009236e-09 1.69255834e-08\n 1.48348727e-08 3.97020695e-10 1.77021876e+00 1.68562240e-09\n 1.30944793e+00 7.93798181e-10 1.17645708e-09 6.06078266e-10\n 5.82559109e-08 3.25323939e-09 4.70123886e-09 8.29451286e-09\n 1.79481346e-08 8.75089618e-09 1.64148574e-08 1.40553068e-08\n 1.93677083e-08 3.83368166e-09 1.51258572e-09 1.16004719e-07\n 3.14872895e-08 9.26653733e-09 1.89566549e-08 2.44465350e-08\n 5.47204694e-10 1.02144138e-07 2.18986580e-09 2.72436063e-09\n 5.33399999e-09 1.49920183e-08 1.16761447e+01 1.84300212e-08\n 3.58408886e-08 2.08224121e-08 2.02418080e-09 1.31143846e-09\n 5.19423404e-08 2.05070180e-08 7.35163591e-09 7.62418202e-01\n 2.66539178e-08 4.61385421e-10 4.60296237e-10 6.20787767e+00\n 6.68391109e-01 8.05592668e-10 1.17472072e-09 6.24410078e-10\n 5.97254560e-08 3.35977594e-09 4.80596758e-09 8.36150218e-09\n 1.80418279e-08 8.71823124e-09 1.65470925e-08 1.35940987e-08\n 1.90119720e-08 4.01815099e-09 1.51261033e-09 1.76433831e-07\n 3.48861157e-08 9.41798988e-09 1.66143109e-08 2.58527888e-08\n 5.68079814e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": 47787811.812321424, ""dcost"": 47787811.81483628, ""pres"": 2.6621062105340104e-10, ""dres"": 8.556416392524518e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.9719155121657885, ""dinfres"": NaN, ""gap"": 0.21206172767269416, ""relgap"": 4.437569321951191e-09, ""r0"": 1e-08, ""iter"": 12, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.003713374, ""tsetup"": 0.000377666, ""tsolve"": 0.003335708}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2830,cvxpy_osqp,unknown,NETLIB,grow7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:49,0.2163834571838379,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2831,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,grow7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:49,0.033721208572387695,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2832,cvxpy_sdpa,unknown,NETLIB,grow7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:50,0.10722827911376953,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2833,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,grow7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:51,0.028727054595947266,OPTIMAL,-47787811.81471151,-47787811.81471151,0.0,0.7143098184044587,3.017415097508369e-16,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -47787811.81471151, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2834,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,grow7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:52,0.0075528621673583984,OPTIMAL,-47787811.81471152,-47787811.81471151,-7.450580596923828e-09,1.523950285633313e-15,1.6691703628595265e-15,159,"{""solver_solve_time"": 0.0036219600588083267, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -47787811.81471151, ""solver_stats"": {""solve_time"": 0.0036219600588083267, ""num_iters"": 159, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2835,scipy_linprog,scipy-1.15.3,NETLIB,israel,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:52,0.005759000778198242,OPTIMAL,-896644.8218630461,,,0.0,,238,"{""solver_solve_time"": 0.005759000778198242, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -896644.8218630461, ""scipy_nit"": 238, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2836,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,israel,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:53,0.006911039352416992,OPTIMAL,-896644.8209740794,-896644.8212680367,0.0002939573023468256,2.9693506540203544e-11,1.000162179253643e-14,17,"{""solver_solve_time"": 0.00413487, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -896644.8212680367, ""solver_stats"": {""solve_time"": 0.00413487, ""num_iters"": 17, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2837,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,israel,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:54,0.17086172103881836,OPTIMAL,-896673.4290127896,-896669.7838062881,-3.645206501474604,1.1158492563689272e-06,7.470279684678691e-10,14000,"{""solver_solve_time"": 0.167754291, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -896669.7838062881, ""solver_stats"": {""solve_time"": 0.167754291, ""setup_time"": 0.000552041, ""num_iters"": 14000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-2.68049701e+01 5.48096162e-05 2.08455355e-06 -3.47191234e-06\n 3.77227625e-07 -2.68073915e+01 -1.43893509e+01 -2.33088312e+01\n -1.57270292e+01 -5.33308332e-07 -1.19759643e+01 -1.89566230e+01\n 2.69039935e-05 3.29111924e-05 -2.74339392e+02 -5.53381880e-06\n -5.22155229e+01 7.53636936e-05 -2.62090645e+01 -4.15091902e-07\n 1.58877809e-06 -2.69337077e+01 1.17999464e-05 -2.32528068e+02\n -4.37979783e-06 5.38561648e-08 7.80173624e-06 -1.10001016e+01\n 7.80191223e-06 4.82562014e-06 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1.58523819e-12 1.58470194e-12 1.58392794e-12\n 1.09508575e-11 7.22286790e-12 2.70786855e-02 3.81565565e-12\n 4.48173527e-12 3.61173369e-12 4.17635548e-12 1.31932475e-12\n 1.12884430e-11 1.29884166e-12 1.29659487e-12 1.29236028e-12\n 2.33323206e-02 9.06846933e-12 1.78773434e-02 1.78773434e-02\n 1.78773434e-02 1.78773434e-02 1.78773434e-02 1.78773434e-02\n 4.02699294e-01 1.61501314e-01 1.61501314e-01 1.61501314e-01\n 1.28506463e-12 1.54045931e-12 1.45677000e-12 1.16731939e-11\n 8.19402851e-02 2.21271573e-01 2.81274051e-12 2.45268992e-12\n 1.79978445e-12 1.32919379e-12 1.45180733e-12 1.53636891e-12\n 2.32748082e-12 2.64981779e-12 4.35605783e-12 2.92118658e-01\n 2.74241314e-01 2.74241314e-01 2.83921355e-01 2.63550628e-14]"", ""info"": {""exitFlag"": 0, ""pcost"": 896644.821861633, ""dcost"": 896644.8218603923, ""pres"": 8.028884793513271e-15, ""dres"": 1.0862165948744897e-14, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.7773340853018195, ""dinfres"": NaN, ""gap"": 0.00018560351339814564, ""relgap"": 2.0699780880131388e-10, ""r0"": 1e-08, ""iter"": 19, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.00333, ""tsetup"": 0.00035225, ""tsolve"": 0.00297775}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2839,cvxpy_osqp,unknown,NETLIB,israel,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:55,0.10925483703613281,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2840,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,israel,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:56,0.2925879955291748,OPTIMAL,-896644.8098370424,-896644.8151543809,0.0053173385094851255,1.6519762416536464e-08,1.2987126958032036e-15,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -896644.8151543809, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2841,cvxpy_sdpa,unknown,NETLIB,israel,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:57,0.028448820114135742,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2842,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,israel,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:57,0.016661882400512695,OPTIMAL,-896644.8218630457,-896644.8218630459,2.3283064365386963e-10,0.8924437952491212,1.4110543479267131e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -896644.8218630459, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2843,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,israel,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:58,0.0051059722900390625,OPTIMAL,-896644.8218630457,-896644.8218630458,1.1641532182693481e-10,4.04843692692384e-16,3.250607072716257e-21,136,"{""solver_solve_time"": 0.002096584066748619, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -896644.8218630458, ""solver_stats"": {""solve_time"": 0.002096584066748619, ""num_iters"": 136, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2844,scipy_linprog,scipy-1.15.3,NETLIB,lotfi,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:59,0.0038661956787109375,OPTIMAL,-25.26470606188001,,,0.0,,147,"{""solver_solve_time"": 0.0038661956787109375, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. 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1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:59,0.006349086761474609,OPTIMAL,-25.264705497124652,-25.264705530562786,3.343813403944296e-08,6.248922452455848e-10,1.293998592801527e-11,18,"{""solver_solve_time"": 0.003541748, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -25.264705530562786, ""solver_stats"": {""solve_time"": 0.003541748, ""num_iters"": 18, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2846,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,lotfi,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 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9.99999982e-04 9.99999980e-04\n 2.86316556e-13 8.49275569e-03 1.09143721e-13 9.99999974e-04\n 4.14776505e-13 7.09979892e-14 7.49275571e-03 4.71550590e-14\n 9.99999790e-04 1.11338527e-12 2.15151079e-14 7.26995569e-03\n 4.78910735e-14 1.00000002e-03 1.78177446e-13 3.42291620e-14\n 7.31125574e-03 1.69697141e-14 1.00000013e-03 7.49688956e-12\n 4.27594716e-14 7.26872487e-03 9.99999912e-04 8.68318999e-11\n 9.99999981e-04 1.76098395e-11 2.63612517e-13 9.99999998e-04\n 1.37524709e-13 1.22280002e-03 9.57129321e-14 1.18149997e-03\n 2.55764256e-14 1.22403083e-03 3.14277647e-13 9.99999999e-04\n 9.10809000e-14 9.99999999e-04 4.11074546e-14 1.99999997e-03\n 1.59974143e-14 2.22279981e-03 1.59560866e-14 2.18149998e-03\n 2.12705102e-14 2.22403097e-03 6.19278534e-12 9.99999992e-04\n 1.75620710e-12 9.99999996e-04 5.87917615e-14 9.99999998e-04\n 2.14859890e-14 1.22280003e-03 2.37943798e-14 1.18149997e-03\n 2.16872039e-14 1.22403085e-03 9.99999914e-04 8.48710042e-11\n 9.99999982e-04 1.61416021e-11 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6.88059690e-12 6.88137690e-12\n 6.88185900e-12 6.88196175e-12 8.60240866e-12 8.60518667e-12\n 8.60489103e-12 8.60465833e-12 5.73455595e-12 5.73334409e-12\n 5.73333990e-12 5.73335654e-12]"", ""info"": {""exitFlag"": 0, ""pcost"": 25.264706054475255, ""dcost"": 25.264706054449622, ""pres"": 2.3098486054879797e-11, ""dres"": 3.1574990999329684e-15, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.20681807842810668, ""dinfres"": NaN, ""gap"": 1.3754521826686912e-08, ""relgap"": 5.444164597460046e-10, ""r0"": 1e-08, ""iter"": 22, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.0027234579999999998, ""tsetup"": 0.00024825, ""tsolve"": 0.002475208}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2848,cvxpy_osqp,unknown,NETLIB,lotfi,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:02,0.06500816345214844,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2849,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,lotfi,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:03,0.1791670322418213,OPTIMAL,-25.264705683166312,-25.264705703348255,2.018194322772615e-08,7.060410050005944e-10,2.2575057566230895e-12,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -25.264705703348255, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2850,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,lotfi,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:04,0.03220009803771973,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2851,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,lotfi,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:05,0.010101079940795898,OPTIMAL,0.0,-25.264706061880005,25.264706061880005,0.1617014656397609,8.216406677349918e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -25.264706061880005, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2852,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,lotfi,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:05,0.0039370059967041016,OPTIMAL,-25.264706061879995,-25.26470606188001,1.4210854715202004e-14,4.5804201778251937e-14,1.811832619511933e-17,109,"{""solver_solve_time"": 0.001096375286579132, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -25.26470606188001, ""solver_stats"": {""solve_time"": 0.001096375286579132, ""num_iters"": 109, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2853,scipy_linprog,scipy-1.15.3,NETLIB,maros,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:06,0.05880379676818848,OPTIMAL,-71394.3147011259,,,0.0,,1525,"{""solver_solve_time"": 0.05880379676818848, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -71394.3147011259, ""scipy_nit"": 1525, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2854,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,maros,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:07,0.07611298561096191,OPTIMAL,-71394.31419767649,-71394.31401982755,-0.00017784893861971796,2.7730459209573305e-07,8.054512730739747e-12,23,"{""solver_solve_time"": 0.057214457, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -71394.31401982755, ""solver_stats"": {""solve_time"": 0.057214457, ""num_iters"": 23, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2855,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,maros,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 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-2.65145869e+01 -1.13298307e+01 -1.82857186e+01\n -1.15693489e+01 -8.50298900e+00 -2.09013033e+02 -9.65667856e+00\n -1.11477094e+02 -1.10300595e+01 -9.52356653e+00 -8.43067503e+00\n -6.84209612e+00 -9.05765770e+00 -9.00916943e+00 -7.20641532e+01\n -5.19849630e+01 -9.28923416e+00 -9.11868611e+00 -7.57055870e+00\n -1.76969039e+01]"", ""y"": ""[]"", ""z"": ""[6.05781420e+03 3.85521964e-09 3.54095553e-09 ... 2.86562442e-09\n 3.44905842e-09 1.47719576e-09]"", ""s"": ""[4.32066416e-12 6.76997765e+00 7.37580418e+00 ... 9.11868611e+00\n 7.57055870e+00 1.76969039e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": 71394.31468811899, ""dcost"": 71394.31469022315, ""pres"": 2.244661435226956e-12, ""dres"": 2.1715060848359163e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.08090453520513274, ""dinfres"": NaN, ""gap"": 0.00036631428573368, ""relgap"": 5.130860732021896e-09, ""r0"": 1e-08, ""iter"": 26, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.054793332, ""tsetup"": 0.001717791, ""tsolve"": 0.053075541}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2857,cvxpy_osqp,unknown,NETLIB,maros,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:23,1.1149921417236328,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2858,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,maros,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:28,4.049349784851074,OPTIMAL,-71394.31469613346,-71394.31469612203,-1.1423253454267979e-08,4.135467140562471e-08,3.078600547050292e-16,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -71394.31469612203, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2859,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,maros,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:29,0.20919299125671387,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2860,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,maros,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:30,0.08244919776916504,OPTIMAL,-60882.162877856885,-71394.31470112588,10512.151823269,39.47914145791522,4.0288479649178233e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -71394.31470112588, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2861,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,maros,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:31,0.037232160568237305,OPTIMAL,-71394.3147011259,-71394.3147011259,0.0,1.2186909013248033e-13,1.6446944299390705e-18,856,"{""solver_solve_time"": 0.024260083213448524, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -71394.3147011259, ""solver_stats"": {""solve_time"": 0.024260083213448524, ""num_iters"": 856, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2862,scipy_linprog,scipy-1.15.3,NETLIB,maros_r7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:35,0.8016209602355957,OPTIMAL,1497185.1664796441,,,0.0,,2498,"{""solver_solve_time"": 0.8016209602355957, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1497185.1664796441, ""scipy_nit"": 2498, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2863,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,maros_r7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:39,1.3566670417785645,OPTIMAL,1497185.166788613,1497185.1663204392,0.00046817376278340816,3.085606710533061e-11,2.2564031907315922e-14,15,"{""solver_solve_time"": 1.163578376, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1497185.1663204392, ""solver_stats"": {""solve_time"": 1.163578376, ""num_iters"": 15, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2864,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,maros_r7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:05:25,42.624971866607666,OPTIMAL,1497185.21013824,1497185.2205396532,-0.010401413310319185,3.895238960142119e-07,1.212144479440222e-08,16425,"{""solver_solve_time"": 42.169668166, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1497185.2205396532, ""solver_stats"": {""solve_time"": 42.169668166, ""setup_time"": 0.214025375, ""num_iters"": 16425, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-1. 0.693487 -1. ... -1. -1. -1. ]"", ""y"": ""[0.00000000e+00 1.10999284e+03 8.62710918e-14 ... 0.00000000e+00\n 0.00000000e+00 0.00000000e+00]"", ""s"": ""[0.87445193 0. 1.05218391 ... 2. 2. 2. ]"", ""info"": {""status_val"": 1, ""iter"": 16425, ""scale_updates"": 2, ""scale"": 683.7896815495893, ""pobj"": -1497185.2205396534, ""dobj"": -1497185.2101382397, ""res_pri"": 3.398662011497562e-05, ""res_dual"": 0.07219078011973147, ""gap"": 0.010401413758076572, ""res_infeas"": NaN, ""res_unbdd_a"": 6.679338289110732e-07, ""res_unbdd_p"": 0.0, ""comp_slack"": 2.703716564315905e-10, ""solve_time"": 42169.668166, ""setup_time"": 214.025375, ""lin_sys_time"": 40711.267507, ""cone_time"": 522.4666750000005, ""accel_time"": 95.11654299999915, ""rejected_accel_steps"": 146, ""accepted_accel_steps"": 8, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2865,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,maros_r7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:05:31,3.0409128665924072,OPTIMAL,1497185.1668837254,1497185.166271461,0.0006122644990682602,4.035303910688718e-11,2.6601376471122684e-13,15,"{""solver_solve_time"": 2.769577958, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1497185.166271461, ""solver_stats"": {""solve_time"": 2.769577958, ""setup_time"": 0.052571333, ""num_iters"": 15, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-1. 0.693487 -1. ... -1. -1. -1. ]"", ""y"": ""[]"", ""z"": ""[1.17606760e-07 1.10999284e+03 9.91000297e-08 ... 5.51350043e-08\n 5.48510790e-08 5.53778777e-08]"", ""s"": ""[8.74451934e-01 9.16237783e-11 1.05218391e+00 ... 2.00000000e+00\n 2.00000000e+00 2.00000000e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": -1497185.1662714656, ""dcost"": -1497185.1668837245, ""pres"": 1.2264726337199045e-11, ""dres"": 2.5453995606344905e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.46543036810438837, ""gap"": 0.0025289199972225794, ""relgap"": 1.689116385998205e-09, ""r0"": 1e-08, ""iter"": 15, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 2.822149291, ""tsetup"": 0.052571333, ""tsolve"": 2.769577958}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2866,cvxpy_osqp,unknown,NETLIB,maros_r7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:05:58,24.42058300971985,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2867,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,maros_r7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:37,35.264569997787476,OPTIMAL,1497185.2032172878,1497185.1476282661,0.055589021649211645,3.6637185932054303e-09,2.4696141858428814e-12,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1497185.1476282661, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2868,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,maros_r7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:43,2.99692702293396,OPTIMAL,1497185.1809157822,1497185.1597041758,0.021211606450378895,5.8936649801944884e-15,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1497185.1597041758, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2869,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,maros_r7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:48,1.4817519187927246,OPTIMAL,0.0,1497185.166479644,-1497185.166479644,0.11075608287606471,1.3721726002036566e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1497185.166479644, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2870,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,maros_r7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:51,0.6268019676208496,OPTIMAL,1497185.166479644,1497185.166479644,0.0,2.017249140028357e-15,9.30000674050317e-18,1860,"{""solver_solve_time"": 0.3803101237863302, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1497185.166479644, ""solver_stats"": {""solve_time"": 0.3803101237863302, ""num_iters"": 1860, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2871,scipy_linprog,scipy-1.15.3,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:52,0.023966073989868164,UNBOUNDED,,,,,,683,"{""solver_solve_time"": 0.023966073989868164, ""original_status"": {""scipy_status"": 3, ""scipy_success"": false, ""scipy_message"": ""The problem is unbounded. (HiGHS Status 10: model_status is Unbounded; primal_status is Feasible)"", ""scipy_fun"": null, ""scipy_nit"": 683, ""scipy_crossover_nit"": 0}, ""problem_class"": ""LP""}" +2872,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:53,0.01157689094543457,INFEASIBLE,,,,,,8,"{""solver_solve_time"": 0.00412671, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solve_time"": 0.00412671, ""num_iters"": 8, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2873,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:54,0.05204010009765625,INFEASIBLE,,,,,,775,"{""solver_solve_time"": 0.043131208000000004, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solve_time"": 0.043131208000000004, ""setup_time"": 0.001240125, ""num_iters"": 775, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan 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nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan]"", ""y"": ""[2.01876326 2.01658182 0.03180542 ... 0.00226991 0.00967138 0.00223625]"", ""s"": ""[nan nan nan ... nan nan nan]"", ""info"": {""status_val"": -2, ""iter"": 775, ""scale_updates"": 3, ""scale"": 31.346578859628014, ""pobj"": Infinity, ""dobj"": Infinity, ""res_pri"": NaN, ""res_dual"": NaN, ""gap"": NaN, ""res_infeas"": 2.1744425130052284e-12, ""res_unbdd_a"": 6.16051444028642e-05, ""res_unbdd_p"": 0.0, ""comp_slack"": 0.0, ""solve_time"": 43.131208, ""setup_time"": 1.240125, ""lin_sys_time"": 34.10948600000008, ""cone_time"": 3.765165000000019, ""accel_time"": 0.6887649999999986, ""rejected_accel_steps"": 4, ""accepted_accel_steps"": 0, ""status"": ""infeasible""}}}}, ""problem_class"": ""LP""}" +2874,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": 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1.97300991e+00 1.62662330e+00 3.61413294e-01\n 2.31715782e+00 2.41408257e+00 3.61086737e-01 1.39130159e+00\n 1.30492181e+00 -1.53768936e+00 -8.34477481e-01 1.44773062e+00\n 2.98202776e-01 -1.33714870e-01 1.38863063e-01 1.99216345e-01\n 1.06282834e+00 9.85504494e-01 1.22012999e+00 -2.32622558e+01\n -6.09418493e+00 1.03056377e+00 -2.05153287e-01 1.48482846e+00\n 1.24961324e-01 -1.38576918e+01 -3.70263362e+00 -3.36953698e+00\n 1.32779261e+00 1.09897707e+00 2.34321511e+00 2.33103989e-01\n 1.71208077e+00 1.35959767e+00 1.83352787e-01 2.13868063e+00\n -6.65029258e-02 3.25999364e+00 4.84985857e-01 4.90409495e-02\n -2.74995322e+00 -1.91505360e+00 5.22726583e-01 5.38981967e-02\n -8.93354496e-01 -3.33360214e-02 1.40945144e-02 2.18298227e+00\n -1.54965087e-01 2.00117823e+00 2.94207358e+00 -3.83663715e+00\n 1.88251897e+00 -2.14914799e+01 -5.02330907e+00 3.89236140e+00\n 2.30273029e+00 -6.48741593e+00 9.91418913e-01 6.99310441e+00\n -1.16639853e+01 -1.07241545e+01 -5.12951620e+00 1.58274552e+01\n 2.07598096e+01 -2.42420715e+01 -6.94464259e+00 -3.46455608e+01\n -3.72337817e+00 9.20310837e-01 1.66376750e+00 1.19855319e+00\n 1.15197937e+00 1.95703581e+00 2.15523378e+00 1.15935970e+00\n 2.48386439e+00 2.68619300e+00 -1.49874774e-01 4.93241947e-01\n 1.82975337e+00 1.41297179e+00 3.28573763e-01 3.40449453e-02\n 1.15003888e+00 1.63934380e+00 1.24093506e+00 1.30722108e+00\n 1.95592962e+00 2.32162058e+00 1.53315435e+00 3.18613132e+00\n 2.78651271e+00 -1.56987669e-01 4.73127802e-01 1.88721751e+00\n 1.46105580e+00 4.27932982e-01 -1.64769907e-01 1.69074791e+00\n 1.26080897e+00 9.98226536e-01 2.03833152e+00 2.35466015e+00\n -9.62254163e-02 5.18126944e-01 1.88172208e+00 4.12313112e-01\n -2.39685691e-02 1.65429954e+00 2.38241870e+00 1.56278908e+00\n -1.49232600e-01 3.99684002e-01 1.89366104e+00 3.27259212e-01\n -6.07107599e-02 1.12342170e+00 1.36098167e+00 1.65594037e+00\n 9.57049283e-01 2.34190187e+00 1.03770626e+00 2.66864824e+00\n -1.52937502e-01 4.26544546e-01 1.87959063e+00 1.43521807e+00\n 3.54216011e-01 -1.70632303e-01 1.08209387e+00 1.38346600e+00\n 1.68741194e+00 1.29214744e+00 1.89335780e+00 2.39884416e+00\n 1.17031476e+00 3.20865363e+00 2.78594613e+00 -1.22191376e-01\n 4.88091911e-01 1.92081157e+00 4.48937239e-01 -4.40783143e-02\n 1.06757674e+00 1.69435993e+00 1.19550548e+00 2.00160405e+00\n 1.37222893e+00 3.26688405e+00 2.80179756e+00 -1.21947003e-01\n 5.08055913e-01 1.92248658e+00 1.50722277e+00 4.71997511e-01\n 4.10030091e-03 2.60697651e+00 1.89490132e+00]"", ""y"": ""[4.7676937e+13 4.6475534e+13]"", ""z"": ""[1.64310335e+10 1.68934191e+12 2.16074890e+10 ... 1.07608649e+10\n 5.29756340e+12 1.53072140e+10]"", ""s"": ""[2.10174508e+00 3.29212129e-03 1.61139061e+00 ... 2.59640187e+00\n 1.06631288e-03 1.87036266e+00]"", ""info"": {""exitFlag"": 1, ""pcost"": 1331864.874748808, ""dcost"": 34548195755.96919, ""pres"": 0.07585213774435107, ""dres"": 0.00014864453779556155, ""pinf"": 1.0, ""dinf"": 0.0, ""pinfres"": 3.270343060944906e-09, ""dinfres"": NaN, ""gap"": 66.5121597924032, ""relgap"": 1.925199227832652e-09, ""r0"": 1e-08, ""iter"": 11, ""mi_iter"": -1, ""infostring"": ""Primal infeasible"", ""timing"": {""runtime"": 0.0074287910000000006, ""tsetup"": 0.000722875, ""tsolve"": 0.006705916}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2875,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:55,0.009865045547485352,INFEASIBLE,,,,,,,"{""solver_solve_time"": 0.002215207, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solve_time"": 0.002215207, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1620,)), prim_inf_cert=array([1.00000000e+00, 9.99984193e-01, 0.00000000e+00, ...,\n 0.00000000e+00, 8.22796897e-05, 0.00000000e+00], shape=(1620,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='primal infeasible', status_val=3, status_polish=0, obj_val=1e+30, prim_res=1.210850358244173, dual_res=4991.81360927664, iter=50, rho_updates=0, rho_estimate=0.3871245611122735, setup_time=0.000773416, solve_time=0.001441791, update_time=0.0, polish_time=0.0, run_time=0.002215207))""}}, ""problem_class"": ""LP""}" +2876,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:56,0.011645078659057617,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2877,cvxpy_sdpa,unknown,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:57,0.09954714775085449,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2878,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:58,0.028506755828857422,INFEASIBLE,,,,,,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2879,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:58,0.00896000862121582,INFEASIBLE,,,,,,,"{""solver_solve_time"": 0.00016812607645988464, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solve_time"": 0.00016812607645988464, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2880,scipy_linprog,scipy-1.15.3,NETLIB,nesm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:59,0.21827292442321777,OPTIMAL,14076035.905808117,,,0.0,,2954,"{""solver_solve_time"": 0.21827292442321777, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 14076035.905808117, ""scipy_nit"": 2954, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2881,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,nesm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:01,0.14763188362121582,OPTIMAL,14076035.30452611,14076035.180108657,0.12441745214164257,9.092741649716947e-09,3.456713573672555e-13,50,"{""solver_solve_time"": 0.100745416, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 14076035.180108657, ""solver_stats"": {""solve_time"": 0.100745416, ""num_iters"": 50, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2882,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,nesm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, 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-2.31144355e+02\n -3.82480129e-07 1.25476612e-05 -5.81034240e-05 2.24144052e-05\n 1.57963256e-06 -7.70245990e-07 -2.31144311e+02 -3.83160675e-05\n -2.38133489e-07 -1.06806366e-07 -8.67252464e-07 -4.19499553e-07\n -2.31143825e+02 -1.12105251e-06 -1.82973168e-09]"", ""y"": ""[ 1.03521337e+02 1.40914672e+01 4.97972050e+02 4.42714584e+02\n -4.64529769e+02 -1.27641564e+01 3.89902435e+02 8.11497846e+01\n 8.94605372e+03 8.37877486e+03 3.10237249e+02 5.17606119e+02\n 1.32346527e+03 1.00035265e+01 9.86181138e+00 9.78255480e+00\n 2.19990933e+01 1.61536760e+03 2.06349424e+01 2.09185601e+01\n 2.64529274e+03 -8.58720717e+02 -5.87032149e+02 -4.00000000e+02\n -1.74666657e+01 -2.53238603e+02 -3.02893146e+01 1.08197915e+02\n 1.92605203e+02 -2.40000000e+01 5.68468660e+00 -1.16459946e+01\n 4.90844795e+00 -7.81525995e+00 2.52628413e+03 -2.86636583e+02\n -8.95873499e+02 -3.00000000e+02 -1.01100385e+02 -5.40171125e+02\n -2.18204811e+02 1.94253053e+00 1.44647956e+02 2.35703771e+02\n -1.64000000e+02 -1.97633166e+01 -1.99319397e+01 1.89032126e+05\n 2.02097026e+01 5.97853835e+04 7.65282088e+03 5.61376021e+04\n 5.65686926e+04 6.81553958e+02 -1.40819889e+03 -8.86902900e+02\n -9.81318672e+02 -4.68570047e+02 -1.62997947e+03 -1.48233364e+03\n 6.72977140e+03 -1.98672280e+02 -5.98026400e+02 -4.10877690e+02\n -6.47917622e+01 5.66702907e+01 2.57149449e+03 -7.07769763e+03\n 1.91035260e+03 1.59507260e+03 1.42644742e+02 6.07413189e+04\n 1.42720249e+04 5.37273016e+04 5.34941824e+04 -1.12784510e+00\n 1.18850804e+00 -9.46587710e-02 7.43248479e-01 9.37218425e-02\n 8.22085483e+01 2.58228968e+02 7.30931513e+02 1.15319825e+03\n 1.10480519e+04 -3.77586605e+01 4.00672231e+02 -2.62920238e+01]"", ""z"": ""[1.22589965e+02 3.47190408e+01 3.15072413e+01 ... 2.52603478e-11\n 2.05120430e+04 2.99999981e+01]"", ""s"": ""[4.75845358e-11 1.68674917e-10 1.84130620e-10 ... 2.31143825e+02\n 2.84330115e-13 1.94410352e-10]"", ""info"": {""exitFlag"": 10, ""pcost"": 9266.201556872971, ""dcost"": 9266.201556878805, ""pres"": 1.4428739307522903e-08, ""dres"": 1.1956200428964836e-14, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.2850813619424992, ""dinfres"": NaN, ""gap"": 8.624666935463674e-05, ""relgap"": 9.307661702071562e-09, ""r0"": 1e-08, ""iter"": 100, ""mi_iter"": -1, ""infostring"": ""Close to optimal solution found"", ""timing"": {""runtime"": 0.20868537499999998, ""tsetup"": 0.00122925, ""tsolve"": 0.207456125}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2893,cvxpy_osqp,unknown,NETLIB,perold,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:24,0.8819870948791504,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2894,cvxpy_cvxopt,unknown,NETLIB,perold,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:25,0.10582327842712402,ERROR,,,,,,,"{""error_message"": ""ARPACK error -1: No convergence (881 iterations, 0/1 eigenvectors converged)"", ""problem_class"": ""LP""}" +2895,cvxpy_sdpa,unknown,NETLIB,perold,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:26,0.10015606880187988,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2896,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,perold,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:27,0.2900569438934326,OPTIMAL,-9269.936486562128,-9269.93648656212,-9.094947017729282e-12,4.120162824677341,4.281571072755378e-08,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -9269.93648656212, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2897,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,perold,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:28,0.07237815856933594,OPTIMAL,-9269.936738554605,-9269.936738554605,0.0,0.6606875393355088,1.8604219840620733e-13,1340,"{""solver_solve_time"": 0.060406291857361794, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -9269.936738554605, ""solver_stats"": {""solve_time"": 0.060406291857361794, ""num_iters"": 1340, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2898,scipy_linprog,scipy-1.15.3,NETLIB,pilot,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:30,1.0463671684265137,OPTIMAL,-143.97904327966336,,,0.0,,5482,"{""solver_solve_time"": 1.0463671684265137, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -143.97904327966336, ""scipy_nit"": 5482, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2899,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,pilot,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:34,2.304678201675415,OPTIMAL,-143.97835870288657,-143.97835830086683,-4.0201973661169177e-07,1.230487270621542e-08,3.56207748906007e-07,59,"{""solver_solve_time"": 2.215450751, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -143.97835830086683, ""solver_stats"": {""solve_time"": 2.215450751, ""num_iters"": 59, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2900,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,pilot,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:08:30,55.14074206352234,OPTIMAL (INACCURATE),-131.18018862545614,-106.93677590003938,-24.24341272541676,4.488488171541679e-07,0.010784688049675266,100000,"{""solver_solve_time"": 55.015057, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -106.93677590003938, ""solver_stats"": {""solve_time"": 55.015057, ""setup_time"": 0.030411458, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-3.08037344e-03 -1.83793345e+02 -2.88971559e-02 ... 4.77852968e-05\n 5.38826772e-05 9.59761766e-05]"", ""y"": ""[ 0.00000000e+00 -9.81435210e-16 0.00000000e+00 ... 2.47044840e+01\n 5.52022941e+01 6.43307874e+01]"", ""s"": ""[0.01630462 0.05365328 0.02203254 ... 0. 0. 0. ]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 2, ""scale"": 1.536587450503052, ""pobj"": 106.93677590003931, ""dobj"": 131.18018862545614, ""res_pri"": 0.0033899361383223268, ""res_dual"": 0.0023263220768914724, ""gap"": 24.243412725416817, ""res_infeas"": 45.73861390744815, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 3.217454041065373e-08, ""solve_time"": 55015.057, ""setup_time"": 30.411458, ""lin_sys_time"": 50640.484121999885, ""cone_time"": 1683.8482940000556, ""accel_time"": 363.43606200012397, ""rejected_accel_steps"": 908, ""accepted_accel_steps"": 0, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2901,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,pilot,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:08:33,1.9115447998046875,OPTIMAL (INACCURATE),-143.96597273933588,-143.96597273607938,-3.2565026231168304e-09,8.117742226101919e-12,5.9680011417329606e-06,100,"{""solver_solve_time"": 1.819644541, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -143.96597273607938, ""solver_stats"": {""solve_time"": 1.819644541, ""setup_time"": 0.00828625, ""num_iters"": 100, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-3.33163965e-03 -2.86620310e+00 -3.25152170e-02 ... -8.48163805e-09\n -2.14390890e-08 -2.28501568e-08]"", ""y"": ""[]"", ""z"": ""[1.80587427e-07 5.76004451e-08 1.36548150e-07 ... 3.30749972e+01\n 8.44249867e+01 8.99999993e+01]"", ""s"": ""[1.80267921e-02 5.65155744e-02 2.38412349e-02 ... 9.84240599e-11\n 3.85593550e-11 3.61708084e-11]"", ""info"": {""exitFlag"": 10, ""pcost"": 143.96597273607696, ""dcost"": 143.96597273933585, ""pres"": 4.806012314562915e-09, ""dres"": 1.737062956387066e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.838664581364598, ""dinfres"": NaN, ""gap"": 0.00035415264883934683, ""relgap"": 2.459974687772742e-06, ""r0"": 1e-08, ""iter"": 100, ""mi_iter"": -1, ""infostring"": ""Close to optimal solution found"", ""timing"": {""runtime"": 1.827930791, ""tsetup"": 0.00828625, ""tsolve"": 1.819644541}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2902,cvxpy_osqp,unknown,NETLIB,pilot,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:08:39,4.5710039138793945,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2903,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,pilot,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:29,48.57567095756531,OPTIMAL,-143.979040454406,-143.97904007145905,-3.8294695059448713e-07,3.4600289287451894e-09,1.4286121996772097e-09,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -143.97904007145905, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2904,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,pilot,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:31,1.1382439136505127,OPTIMAL,-143.97132330541768,-143.9713233054173,-3.979039320256561e-13,1.6767817884823142e-13,1.365133846057452e-06,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -143.9713233054173, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2905,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,pilot,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:36,4.0352702140808105,OPTIMAL,-143.9779873851423,-143.97798738514246,1.4210854715202004e-13,0.489727086717076,5.42996771743213e-07,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -143.97798738514246, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2906,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,pilot,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:38,1.1370668411254883,OPTIMAL,-143.97904328416485,-143.97904328420748,4.263256414560601e-11,2.3128617607152043e-13,6.8429961203858226e-12,4918,"{""solver_solve_time"": 1.056631252169609, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -143.97904328420748, ""solver_stats"": {""solve_time"": 1.056631252169609, ""num_iters"": 4918, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2907,scipy_linprog,scipy-1.15.3,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:41,0.0954899787902832,OPTIMAL,-6117.932538570111,,,0.0,,1553,"{""solver_solve_time"": 0.0954899787902832, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -6117.932538570111, ""scipy_nit"": 1553, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2908,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:43,0.578869104385376,OPTIMAL,-6117.2366028387905,-6117.236597084007,-5.7547831602278166e-06,23.1808745310669,3.952019499266453e-06,51,"{""solver_solve_time"": 0.553839833, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -6117.236597084007, ""solver_stats"": {""solve_time"": 0.553839833, ""num_iters"": 51, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2909,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:56,12.51965618133545,OPTIMAL,-3168.7071270854385,-3168.715811918606,0.008684833167535544,2.777069261058352,43.36089332227986,72275,"{""solver_solve_time"": 12.488973958, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3168.715811918606, ""solver_stats"": {""solve_time"": 12.488973958, ""setup_time"": 0.006318, ""num_iters"": 72275, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-3.31550652e-02 1.57067557e+00 -1.13150135e-02 ... -3.39760626e+08\n -4.91074102e+08 -2.94011362e+08]"", ""y"": ""[ 4.76649494e-01 3.40714548e-10 -2.16454833e+00 ... 0.00000000e+00\n 0.00000000e+00 0.00000000e+00]"", ""s"": ""[0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 3.39760626e+08\n 4.91074102e+08 2.94011362e+08]"", ""info"": {""status_val"": 1, ""iter"": 72275, ""scale_updates"": 4, ""scale"": 1e-06, ""pobj"": 3168.715811917902, ""dobj"": 3168.7071270854394, ""res_pri"": 275.6558808856849, ""res_dual"": 0.040313905082076974, ""gap"": 0.008684832462701542, ""res_infeas"": 44.030122390081594, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 1.266889625073468e-13, ""solve_time"": 12488.973958, ""setup_time"": 6.318, ""lin_sys_time"": 11299.179946999782, ""cone_time"": 318.0136379999671, ""accel_time"": 133.44706599999023, ""rejected_accel_steps"": 650, ""accepted_accel_steps"": 31, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2910,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:57,0.42745399475097656,OPTIMAL (INACCURATE),-6104.277611451466,-6104.277606402623,-5.048843377153389e-06,6.082950120390969,3.0649257556035605e-05,100,"{""solver_solve_time"": 0.39712425, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -6104.277606402623, ""solver_stats"": {""solve_time"": 0.39712425, ""setup_time"": 0.00288175, ""num_iters"": 100, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-2.14705281e-02 -1.00296272e-06 -1.58271647e-06 ... -5.31209854e+01\n -5.41359132e+01 -5.40812063e+01]"", ""y"": ""[ 4.89993683e-01 6.27890587e-08 -1.60176649e+01 3.37042436e-03\n -1.08551129e+00 -1.29996339e+01 -3.48359355e-09 -9.65506389e-07\n 1.66556571e-07 6.31049584e-07 -1.00368660e-03 -1.29183917e-02\n 8.22087636e-01 -5.29949884e+01 7.99855063e+01 -9.65917606e-01\n -1.86726676e-01 -2.60928017e-01 1.63771076e-01 2.43512004e+00\n -1.27390558e-01 2.48424585e-02 2.35795479e-01 2.22920648e-01\n 2.08405986e-01 -6.45934394e-03 -6.45904773e-03 3.32102687e+03\n 1.84816209e+02 -6.92766980e+02 1.07765850e-03 -1.91431299e+01\n -8.11971494e+02 -5.31365423e+02 -2.88670373e+02 2.56090113e+02\n -2.62999880e+01 -2.19352311e-01 -5.74784007e+00 -2.23080753e-02\n -2.88515774e+00 3.07102059e+03 -2.56737028e+02 -9.85435073e+02\n 1.68303986e-04 -3.31611440e+01 -6.69558935e+02 -3.02731401e+02\n -5.87153585e+01 9.64787271e+01 2.95902272e+02 -1.68000000e+02\n -1.72179292e+01 -1.85739523e+01 4.88660632e+02 -2.99206867e+01\n 6.91495092e+02 -1.26080546e+02 1.18704168e+02 3.97044927e+01\n 6.23189008e+00 -2.06277719e-02 -2.50244866e+01 -1.57724791e+00\n 8.54306573e-07 -8.91133308e+01 -3.04796096e-05 6.43243620e+00\n -8.98595634e-06 5.35821333e+03 -4.94460691e+02 -9.21265590e+02\n -4.71401874e+02 4.53686214e+00 -1.98722499e+00 -1.98734432e+01\n 6.42118745e+01 -1.23064232e+02 2.43946008e+01 1.52237003e+01\n 4.95582822e+00 1.57767188e+02 1.58275120e+02 1.58346510e+02\n -4.60546972e+02 6.09086869e+01 6.17167400e+01 1.34605260e+02]"", ""z"": ""[9.08392025e-08 1.09830038e-07 1.10577892e-07 ... 9.17126822e-08\n 9.00493819e-08 9.01301673e-08]"", ""s"": ""[53.63653622 41.32092406 42.32172481 ... 53.12098538 54.13591323\n 54.08120626]"", ""info"": {""exitFlag"": 10, ""pcost"": 6104.277606402623, ""dcost"": 6104.277611451466, ""pres"": 1.1149569664584932e-07, ""dres"": 7.375628529475716e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.3603746256224731, ""dinfres"": NaN, ""gap"": 0.019416483168846133, ""relgap"": 3.1807994990957347e-06, ""r0"": 1e-08, ""iter"": 100, ""mi_iter"": -1, ""infostring"": ""Close to optimal solution found"", ""timing"": {""runtime"": 0.40000600000000003, ""tsetup"": 0.00288175, ""tsolve"": 0.39712425}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2911,cvxpy_osqp,unknown,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:59,1.3891499042510986,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2912,cvxpy_cvxopt,unknown,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:00,0.11889314651489258,ERROR,,,,,,,"{""error_message"": ""ARPACK error -1: No convergence (881 iterations, 0/1 eigenvectors converged)"", ""problem_class"": ""LP""}" +2913,cvxpy_sdpa,unknown,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:01,0.17641806602478027,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2914,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:02,0.7777700424194336,OPTIMAL,-6117.931843164731,-6117.931843164747,1.6370904631912708e-11,44.91814184710251,3.508752023189669e-08,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -6117.931843164747, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2915,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:03,0.11710000038146973,OPTIMAL,-6117.9325446419825,-6117.9325446420025,2.000888343900442e-11,0.25068725200126485,1.163613482458095e-08,1799,"{""solver_solve_time"": 0.08991020917892456, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -6117.9325446420025, ""solver_stats"": {""solve_time"": 0.08991020917892456, ""num_iters"": 1799, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2916,scipy_linprog,scipy-1.15.3,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:04,0.11569881439208984,OPTIMAL,-3146161.0186696965,,,0.0,,2483,"{""solver_solve_time"": 0.11569881439208984, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -3146161.0186696965, ""scipy_nit"": 2483, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2917,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:05,0.10023379325866699,OPTIMAL,-3146161.0299394256,-3146161.021855363,-0.008084062486886978,49.734100665916465,7.117336918363002e-19,59,"{""solver_solve_time"": 0.081172416, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3146161.021855363, ""solver_stats"": {""solve_time"": 0.081172416, ""num_iters"": 59, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2918,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:16,10.165258169174194,OPTIMAL (INACCURATE),-1544.921035403659,-3562.384084701538,2017.463049297879,3.924229516342421,6.246400636786093e-08,100000,"{""solver_solve_time"": 10.141209791, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -3562.384084701538, ""solver_stats"": {""solve_time"": 10.141209791, ""setup_time"": 0.002789625, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 1.76404436e+02 1.82354069e+02 -3.43276016e+01 ... 3.44813954e+02\n 1.19237067e+04 -2.73620186e+08]"", ""y"": ""[18019.51971048 99.89393653 365.73424861 ... 1819.78098453\n 90553.96132498 0. ]"", ""s"": ""[0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 0.00000000e+00\n 0.00000000e+00 2.73620186e+08]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 3, ""scale"": 1e-06, ""pobj"": 3562.3840886533, ""dobj"": 1544.9210354036588, ""res_pri"": 16838.6777978035, ""res_dual"": 2.04100125766817, ""gap"": 2017.463053249641, ""res_infeas"": 156.23185228877438, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 4.243710363870341e-14, ""solve_time"": 10141.209791, ""setup_time"": 2.789625, ""lin_sys_time"": 8590.677079999949, ""cone_time"": 465.4171199999937, ""accel_time"": 157.9244510000135, ""rejected_accel_steps"": 905, ""accepted_accel_steps"": 5, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2919,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:17,0.11606597900390625,OPTIMAL,-3146097.5019442686,-3146097.5013822066,-0.0005620620213449001,27.322670771886866,1.105009301886838e-15,78,"{""solver_solve_time"": 0.095648791, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3146097.5013822066, ""solver_stats"": {""solve_time"": 0.095648791, ""setup_time"": 0.001286333, ""num_iters"": 78, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-9.13755159e-07 -3.42469669e-06 -1.78465888e-07 ... -3.91245713e-06\n -5.95113880e-04 -1.08962728e+03]"", ""y"": ""[ 1.33913608e+05 3.04582416e+03 2.14893461e+03 1.17256753e+03\n 6.79503601e+02 -2.43613469e+03 3.51031823e+02 4.43653979e+02\n 3.47640921e+02 2.77703391e+02 -2.07509845e+03 9.22139043e+02\n -1.31013667e+02 2.65934345e+04 -2.58795933e+02 5.13569059e+02\n 6.11852923e+02 4.99709435e+02 -1.80129632e+03 3.34729165e+02\n 6.88428268e+00 2.16291914e+01 -6.59296303e+01 6.26027722e+01\n -1.37731417e+01 1.15590851e+02 1.15969923e+01 3.93924303e+01\n 8.81586178e+02 7.56352871e+02 1.56616363e+05 2.45657090e+02\n 2.34076476e+02 2.34569308e+02 2.30422755e+02 3.92487439e+03\n 4.26117621e+02 4.29967096e+02 2.53787945e+02 5.51261306e+00\n 6.90938886e+00 7.03842841e+00 4.49498138e+03 -5.34613849e+04\n 4.46814144e+03 4.42119683e+03 3.89873628e+03 5.33452315e+00\n 5.00809068e+00 4.38785740e+00 3.12214563e+00 4.96478938e-01\n 1.96054232e+04 4.09607521e+04 4.62861036e+03 3.24499450e+03\n 6.92492515e+03 -1.61103612e+04 -6.08729360e+01 -1.36221051e+02\n -2.00123749e+01 -2.90276148e+00 -7.89790754e-07 6.60097659e+00\n -1.01666344e-06 -1.42619331e+01 1.54414766e+04 9.39205540e+03\n 1.59469156e+03 2.21372585e+03 9.96076018e+03 -7.17801189e+02\n 1.67632182e+03 1.67632182e+03 1.67632182e+03 -2.03522225e+03\n 1.67632182e+03 1.67632182e+03 1.67632182e+03 1.67632182e+03]"", ""z"": ""[5.26201235e+03 5.26201235e+03 1.45069962e+02 ... 6.99924508e+03\n 6.83382146e+04 3.34332920e-09]"", ""s"": ""[6.92313384e-10 6.92313384e-10 2.51121452e-08 ... 5.15126041e-10\n 4.70008446e-11 1.08962728e+03]"", ""info"": {""exitFlag"": 0, ""pcost"": 3146097.5013822066, ""dcost"": 3146097.5019442677, ""pres"": 1.1294659000149678e-09, ""dres"": 3.77751811062478e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.27054294915235444, ""dinfres"": NaN, ""gap"": 0.029924848664405274, ""relgap"": 9.511735935047123e-09, ""r0"": 1e-08, ""iter"": 78, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.096935124, ""tsetup"": 0.001286333, ""tsolve"": 0.095648791}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2920,cvxpy_osqp,unknown,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:18,0.7248020172119141,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2921,cvxpy_cvxopt,unknown,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:19,0.10788798332214355,ERROR,,,,,,,"{""error_message"": ""ARPACK error -1: No convergence (801 iterations, 0/1 eigenvectors converged)"", ""problem_class"": ""LP""}" +2922,cvxpy_sdpa,unknown,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:20,0.13601303100585938,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2923,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:21,0.3378918170928955,OPTIMAL,-3146264.6734270267,-3146161.0186696793,-103.65475734742358,397.9210217451685,1.1141181172989785e-22,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3146161.0186696793, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2924,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:21,0.09371209144592285,OPTIMAL,-3146161.018669694,-3146161.0186696947,4.656612873077393e-10,146.87344937940986,1.6473497879150937e-21,1737,"{""solver_solve_time"": 0.07553162425756454, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3146161.0186696947, ""solver_stats"": {""solve_time"": 0.07553162425756454, ""num_iters"": 1737, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2925,scipy_linprog,scipy-1.15.3,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:22,0.02072596549987793,OPTIMAL,-3712.165146564907,,,0.0,,547,"{""solver_solve_time"": 0.02072596549987793, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -3712.165146564907, ""scipy_nit"": 547, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2926,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:23,0.03594088554382324,OPTIMAL,-3712.1648421731816,-3712.1648333332187,-8.839962902129628e-06,46.79943258099698,3.4621267138491716e-07,35,"{""solver_solve_time"": 0.028167172, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3712.1648333332187, ""solver_stats"": {""solve_time"": 0.028167172, ""num_iters"": 35, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2927,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:29,6.081061124801636,OPTIMAL (INACCURATE),-702.078810758264,-613.9916107601754,-88.08719999808864,1.5652108649224163,0.15733827741333092,100000,"{""solver_solve_time"": 6.072336750000001, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -613.9916107601754, ""solver_stats"": {""solve_time"": 6.072336750000001, ""setup_time"": 0.001578166, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 3.59214856e-04 7.77531864e-06 4.74715809e-05 -9.09350620e-06\n 1.26278501e-05 -2.14887051e-09 -2.58226885e-08 -5.81559404e-07\n -4.06335970e-07 -3.12295439e-06 8.41421767e-08 -4.82865599e-08\n -6.09639527e-09 2.58739111e-08 -1.31086807e-06 -6.52146971e-07\n -6.47669225e-07 -3.00102467e-06 -1.58564516e-09 1.98294822e-08\n 9.37334033e-08 -3.20237919e-05 6.98441475e-07 -7.80917496e-08\n -1.15139127e-06 -1.51135972e-05 -7.76563931e-07 -2.84478182e-07\n 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-3.75110371e-08\n -6.69155862e-06 -1.17897048e-03 -1.68300897e-03 -2.51138325e-08\n -2.09603622e-08 -1.34735466e-09 -6.21098736e-08 -3.77133515e-08\n -3.70267642e+01 -9.73852399e-10 -7.77491357e-08 -2.55719067e-08\n -4.55530532e-08 -1.76823862e-09 -9.79504711e-04 -9.55665323e-05\n -9.62642505e-07 -7.30435671e-04 -4.88758870e-05 -1.06084473e-08\n -3.74543487e-08 -8.13580262e-04 -7.52707594e-04 -6.03240040e-04\n -5.58234395e-04 -9.41749249e-04 -3.70277897e+01 -1.15747625e-03\n -9.70154460e-04 -6.17403476e-04 -5.55356924e-04 -7.24195718e-04\n -1.41303607e-04 -7.21093788e-09 -3.01282647e-08 -1.60560617e-08\n -6.48210518e-09 -2.54417916e-09 -3.38604390e-08 -1.03477975e-04\n -1.19458969e-04 -6.45999742e-10 -3.02957631e-08 -3.70270880e+01\n 1.35663269e-06 -4.35110647e-05 -1.11453938e-09]"", ""y"": ""[-2.92323145e+01 -2.37989493e+00 -6.84299587e+02 1.59044958e+02\n -3.47757136e-04 -5.53712866e+03 5.14071720e-10 -1.20010505e+01\n 5.93127163e+04 -5.88869630e+04 1.57491605e+02 -1.28723645e+03\n 2.17302548e+03 1.22069657e+02 1.16793765e+02 9.01436328e+01\n 1.11343165e+02 2.64270891e+03 2.02308895e+02 2.02157287e+02\n 4.42246253e+03 -2.83567264e+03 -1.64025877e+03 3.09959029e+03\n -1.62079246e+05 -5.79434556e+02 8.82561235e+01 4.90396972e+02\n 7.29350973e+02 -2.40000000e+01 1.59768121e+04 -1.65516103e+04\n -3.93008131e+05 3.92942020e+05 1.37823629e+04 -5.25400519e+03\n -7.98306198e+03 3.20414500e+03 -1.79180729e+06 -4.23542774e+03\n -1.28133153e+03 6.53391378e+02 1.87557232e+03 2.63822062e+03\n -1.64000000e+02 -7.70631294e+04 8.37991725e+04 1.25655868e+04\n -5.15675149e+03 6.08278653e+04 3.28088212e+02 -4.88808714e+04\n 1.12389560e+03 -1.64647952e+03 -1.97415933e+01 -7.34631349e-04\n -9.68064314e+00 -4.57566793e+03 -8.00299350e+01 3.85680323e+03\n -1.12581766e+02 -3.42076968e+02 -2.35561532e+02 -3.79796481e+01\n 3.17808115e+01 2.32449171e+03 -9.78417686e+03 2.03617415e+03\n 1.85991865e+03 3.69236544e+02 4.48360378e+00 4.84296362e+00\n 3.74257451e+00 3.92671940e+00 4.66098205e-01 1.32499567e+02\n 2.80647822e+03 -6.75347301e+02 -4.28007339e+04 1.49560295e+04\n 4.33912787e+03 4.24324797e+03 1.30550602e+04 4.34500717e+03\n 7.77981822e+03 3.48040370e+03 -6.12035146e+04 6.22879371e+04]"", ""z"": ""[4.31942147e+02 8.15995773e+02 1.85601641e+03 ... 2.31087009e+03\n 4.74647329e-04 9.60569234e+01]"", ""s"": ""[4.95361890e-11 2.62280487e-11 1.15333490e-11 ... 9.33940784e-12\n 4.35103802e-05 2.22904777e-10]"", ""info"": {""exitFlag"": 10, ""pcost"": 3711.7797385374583, ""dcost"": 3711.779738558852, ""pres"": 7.381952168191797e-08, ""dres"": 2.1090489995606558e-14, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.05914835236471209, ""dinfres"": NaN, ""gap"": 1.1615506351965597e-05, ""relgap"": 3.1293630468696596e-09, ""r0"": 1e-08, ""iter"": 100, ""mi_iter"": -1, ""infostring"": ""Close to optimal solution found"", ""timing"": {""runtime"": 0.07711162499999999, ""tsetup"": 0.00075225, ""tsolve"": 0.076359375}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2929,cvxpy_osqp,unknown,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:31,0.3615429401397705,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2930,cvxpy_cvxopt,unknown,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:32,0.10292482376098633,ERROR,,,,,,,"{""error_message"": ""ARPACK error -1: No convergence (881 iterations, 0/1 eigenvectors converged)"", ""problem_class"": ""LP""}" +2931,cvxpy_sdpa,unknown,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:32,0.06896400451660156,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2932,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:33,0.05733776092529297,OPTIMAL,-3712.1651465642517,-3712.1651465645996,3.4788172342814505e-10,137.75322818009923,6.400775000771978e-13,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3712.1651465645996, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2933,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:34,0.023590087890625,OPTIMAL,-3712.1651465649084,-3712.165146564911,2.7284841053187847e-12,156.1215194576481,3.7986363554784654e-14,591,"{""solver_solve_time"": 0.014509998261928558, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3712.165146564911, ""solver_stats"": {""solve_time"": 0.014509998261928558, ""num_iters"": 591, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2934,scipy_linprog,scipy-1.15.3,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:38,3.0696630477905273,OPTIMAL,301.71156513310814,,,0.0,,9695,"{""solver_solve_time"": 3.0696630477905273, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 301.71156513310814, ""scipy_nit"": 9695, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2935,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:45,5.070364236831665,OPTIMAL,301.7222245930567,301.7222245616472,3.14095132125658e-08,4.1670200596624645e-12,1.4378142457394452e-08,118,"{""solver_solve_time"": 4.860666916, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 301.7222245616472, ""solver_stats"": {""solve_time"": 4.860666916, ""num_iters"": 118, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2936,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:12:34,107.73370695114136,OPTIMAL (INACCURATE),311.7115524522709,315.9251748943826,-4.213622442111728,4.57609432431274e-08,1.706441293465937e-05,100000,"{""solver_solve_time"": 107.481592458, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 315.9251748943826, ""solver_stats"": {""solve_time"": 107.481592458, ""setup_time"": 0.072454458, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-6.52394642e-04 -8.59963575e-04 -5.61857059e-03 ... 9.23408930e-09\n 8.43427367e-09 6.75267969e-09]"", ""y"": ""[8.64020715 9.19721639 9.89371946 ... 1.4359361 2.37056898 4.56550281]"", ""s"": ""[0. 0. 0. ... 0. 0. 0.]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 3, ""scale"": 7.206258995123194, ""pobj"": -315.9251748943827, ""dobj"": -311.71155245227095, ""res_pri"": 0.0016852629820391298, ""res_dual"": 0.0010200331334188014, ""gap"": 4.213622442111693, ""res_infeas"": NaN, ""res_unbdd_a"": 0.010433673091374005, ""res_unbdd_p"": 0.0, ""comp_slack"": 2.8985945019510493e-07, ""solve_time"": 107481.592458, ""setup_time"": 72.454458, ""lin_sys_time"": 101534.52087199828, ""cone_time"": 2195.7697439999342, ""accel_time"": 526.1852860001361, ""rejected_accel_steps"": 907, ""accepted_accel_steps"": 0, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2937,cvxpy_ecos,unknown,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:12:42,6.691181898117065,ERROR,,,,,,,"{""error_message"": ""Solver 'ECOS' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2938,cvxpy_osqp,unknown,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:12:53,9.956794261932373,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2939,cvxpy_cvxopt,unknown,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:14:54,120.0,TIMEOUT,,,,,,,"{""timeout_duration"": 120.0, ""problem_class"": ""LP""}" +2940,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:14:59,3.554503917694092,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2941,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:08,8.07190489768982,OPTIMAL,301.7122088541155,301.71220885413516,-1.9667822925839573e-11,0.6157047312690169,5.302406361520924e-09,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 301.71220885413516, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2942,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:13,3.404390335083008,OPTIMAL,301.7115651331116,301.71156513310956,2.0463630789890885e-12,8.163918747491553e-15,5.945241996889685e-16,8410,"{""solver_solve_time"": 3.220902042463422, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 301.71156513310956, ""solver_stats"": {""solve_time"": 3.220902042463422, ""num_iters"": 8410, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2943,scipy_linprog,scipy-1.15.3,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:14,0.10629606246948242,OPTIMAL,-4497.2761882188715,,,0.0,,1831,"{""solver_solve_time"": 0.10629606246948242, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -4497.2761882188715, ""scipy_nit"": 1831, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2944,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:15,0.3111002445220947,OPTIMAL,-4497.276188388382,-4497.276188074829,-3.135528459097259e-07,3.9436255271420356e-10,1.5703304980263154e-10,22,"{""solver_solve_time"": 0.290845585, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4497.276188074829, ""solver_stats"": {""solve_time"": 0.290845585, ""num_iters"": 22, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2945,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:33,16.79501700401306,OPTIMAL (INACCURATE),-1934.996275755197,-1839.9010037183762,-95.09527203682092,0.00013600829322491079,9888.170078352814,100000,"{""solver_solve_time"": 16.767847208, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -1839.9010037183762, ""solver_stats"": {""solve_time"": 16.767847208, ""setup_time"": 0.0059278329999999995, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 2.11278028e+02 4.03870573e+02 1.00784907e+03 ... -1.33166041e+06\n -3.32468960e+06 -5.13595352e+01]"", ""y"": ""[0. 0. 2.94351756 ... 0. 0. 0.48269166]"", ""s"": ""[1.12859124e+08 1.83548790e+08 0.00000000e+00 ... 1.33166041e+06\n 3.32468960e+06 0.00000000e+00]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 3, ""scale"": 1e-06, ""pobj"": 1839.9010027340873, ""dobj"": 1934.996275755197, ""res_pri"": 29563.43076479533, ""res_dual"": 26.09902180301905, ""gap"": 95.09527302110985, ""res_infeas"": 52.32657263678606, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 8.757149657227734e-12, ""solve_time"": 16767.847208, ""setup_time"": 5.927833, ""lin_sys_time"": 15097.607554999719, ""cone_time"": 478.37157399995004, ""accel_time"": 177.16631100003633, ""rejected_accel_steps"": 906, ""accepted_accel_steps"": 0, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2946,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:33,0.10950183868408203,OPTIMAL,-4497.276188171906,-4497.276188108498,-6.340815161820501e-08,6.68060096658276e-11,4.66302176468688e-10,24,"{""solver_solve_time"": 0.087849083, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4497.276188108498, ""solver_stats"": {""solve_time"": 0.087849083, ""setup_time"": 0.00245975, ""num_iters"": 24, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-1.16064532e-10 -1.39554337e-11 3.43996139e-11 ... -1.54930336e+00\n -1.00721642e+00 -4.67080945e-09]"", ""y"": ""[]"", ""z"": ""[1.84761654e-09 1.06614198e-09 3.12822292e+00 ... 1.53378884e-09\n 2.31095520e-09 4.42287993e-01]"", ""s"": ""[1.88870154e+00 2.22202973e+00 7.28390700e-10 ... 1.54930336e+00\n 1.00721642e+00 4.67150896e-09]"", ""info"": {""exitFlag"": 0, ""pcost"": 4497.2761881085, ""dcost"": 4497.276188171907, ""pres"": 5.127410737456073e-12, ""dres"": 7.687481073728102e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.6178418063421476, ""dinfres"": NaN, ""gap"": 1.1788158290511794e-05, ""relgap"": 2.621177307614623e-09, ""r0"": 1e-08, ""iter"": 24, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.09030883299999999, ""tsetup"": 0.00245975, ""tsolve"": 0.087849083}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2947,cvxpy_osqp,unknown,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:35,1.3502469062805176,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2948,cvxpy_cvxopt,unknown,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:54,17.403785943984985,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2949,cvxpy_sdpa,unknown,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:55,0.15593910217285156,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2950,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:56,0.47675299644470215,OPTIMAL,-4497.2761882188715,-4497.2761882188715,0.0,3.7320713598777933,9.180091450489929e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4497.2761882188715, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2951,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:57,0.0999908447265625,OPTIMAL,-4497.276188218871,-4497.2761882188715,9.094947017729282e-13,3.546429160325506e-14,1.936343842776485e-17,1563,"{""solver_solve_time"": 0.08000920712947845, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4497.2761882188715, ""solver_stats"": {""solve_time"": 0.08000920712947845, ""num_iters"": 1563, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2952,scipy_linprog,scipy-1.15.3,NETLIB,recipe,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:57,0.002351999282836914,OPTIMAL,-266.292,,,0.0,,19,"{""solver_solve_time"": 0.002351999282836914, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -266.292, ""scipy_nit"": 19, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2953,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,recipe,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:58,0.0033919811248779297,OPTIMAL,-266.29200439687605,-266.2920021458493,-2.2510267285724694e-06,4.178277127418424e-09,7.219195726475606e-11,11,"{""solver_solve_time"": 0.001179458, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -266.2920021458493, ""solver_stats"": {""solve_time"": 0.001179458, ""num_iters"": 11, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2954,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,recipe,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:58,0.011420965194702148,OPTIMAL,-266.29173491928253,-266.29225188905303,0.0005169697705014187,1.127538314502658e-07,2.810403493900943e-07,1250,"{""solver_solve_time"": 0.009393916, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -266.29225188905303, ""solver_stats"": {""solve_time"": 0.009393916, ""setup_time"": 0.00019583300000000002, ""num_iters"": 1250, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.68551644e+02\n -2.00000031e+00 -2.00001227e+00 -1.99999967e+00 -2.00000261e+00\n 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7.12532570e-10 1.36204504e-07\n 2.00000000e+01 5.10000001e+01 1.96166747e-10 2.34873200e-10\n 2.80700462e-10 2.91130242e-10 7.51587598e-10 9.30424679e-10\n 8.24152785e-10 2.59637724e-10 5.27501802e-10 2.67789303e-10\n 1.34729484e-09 3.91420884e-10 1.99784749e-10 3.23017050e-10\n 2.62905242e-10 5.69464764e-10 5.05208932e-10 6.03183774e-10\n 2.26721836e-10 4.43979339e-10 2.87690065e-10]"", ""s"": ""[1.86663147e-11 3.54271581e-11 5.36635594e-11 2.46900298e-11\n 4.41336163e-11 3.50478671e-11 2.93755997e-11 4.70160842e-11\n 1.95915398e-10 9.86114040e-12 2.11029443e-11 3.30558033e-11\n 2.96529798e-11 1.96483449e-11 2.58237682e-11 2.79522756e-11\n 2.03823893e-11 2.90485912e-11 1.51352422e-10 1.81029063e-11\n 1.82905069e-11 3.43247526e-11 4.32764793e-11 2.29706863e-11\n 3.56471828e-11 3.14211892e-11 2.43731334e-11 3.94824023e-11\n 1.74151535e-10 1.12851225e-11 3.04733292e-12 3.89051315e-12\n 4.71170904e-12 2.88317592e-12 5.95927373e-12 1.12106297e-11\n 1.23611546e-11 7.07953592e-12 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5.49444479e-11 3.99114523e-01\n 9.88673459e-11 2.23252876e-01 1.62290415e-10 1.74382085e-01\n 4.38139264e-11 1.05621585e-11 9.93156368e-12 1.01638721e-11\n 1.44097464e-13 1.48204923e-13 1.39206746e-13 1.51271735e-13\n 1.39998646e-13 1.47915824e-13 2.37483419e-01 4.00000003e-03\n 2.48795658e-03 4.00000003e-03 9.30065871e-11 1.42751001e-01\n 3.99999999e-03 2.23653278e-01 3.44032759e-11 2.21971832e-01\n 4.00000003e-03 2.37483419e-01 4.37525889e-11 2.69557752e-11\n 4.45880933e-11 5.49444477e-11 3.99114482e-01 5.48308121e-11\n 2.23252845e-01 1.62290413e-10 2.17971832e-01 4.38139264e-11\n 1.05621585e-11 9.93156368e-12 1.01638721e-11 1.44097464e-13\n 1.48204923e-13 1.39206746e-13 1.51271735e-13 1.39998646e-13\n 1.47915824e-13 1.67881559e-01 1.42406558e-11 1.40994185e-11\n 1.39040420e-11 1.41067264e-11 2.24141526e-01 1.32241160e-11\n 2.44666139e-01 1.40095276e-11 1.88686910e-01 1.39865003e-11\n 4.19244826e-01 1.61932006e-01 1.51808754e-01 1.62923677e-01\n 1.55364041e-01 1.96193410e-01 1.88844255e-01 2.05021822e-01\n 1.54657201e-01 1.75917446e-01 1.64079535e-01 1.05621585e-11\n 9.93156368e-12 1.01638721e-11 1.44097464e-13 1.48204923e-13\n 1.39206746e-13 1.51271735e-13 1.39998646e-13 1.47915824e-13\n 5.96517660e-12 1.29731219e-13 4.82336631e-12 1.34254433e-13\n 5.45948789e-12 1.27739816e-13 2.65637463e-12 1.12855015e-12\n 4.63053597e-13 2.94543058e-13 7.09283094e-13 3.47019577e-13\n 1.23555419e-12 9.32558074e-13 4.34030987e-13 2.53176835e-13\n 5.44894538e-13 3.37247693e-13 2.42833052e-12 8.20799298e-13\n 4.52973187e-13 2.77375722e-13 6.23482458e-13 3.37901616e-13\n 1.06259854e+00 5.51361073e-12 1.37004866e-11 4.29565248e-12\n 2.72533683e-11 2.17764957e+00 1.49678628e+00 1.03855191e+00\n 2.88080603e-11 1.39939172e-11 5.28409873e-12 2.55388090e-12\n 7.02881285e-12 5.34943624e-12 5.84467530e-12 4.08008262e-12\n 2.83962967e-12 5.02567691e-01 5.19370084e-12 8.85977162e-13\n 2.09388903e-12 2.53580521e-12 9.20190333e-12 2.80027985e-11\n 5.28091833e-12 1.55506965e-03 2.60363439e-01 3.99999968e-03\n 5.04167257e-01 4.00000013e-03 1.17817550e-11 5.72710516e-12\n 2.55388089e-12 6.08680235e-12 3.34798099e-12 5.40505239e-12\n 4.08008261e-12 2.86902945e-12 5.02567874e-01 5.44721785e-12\n 8.85977169e-13 2.09388903e-12 2.53580521e-12 9.20190332e-12\n 1.51204346e-03 1.51546326e-11 3.99999996e-03 2.60363466e-01\n 3.99999999e-03 5.04167441e-01 4.00000012e-03 1.17817550e-11\n 5.72710515e-12 2.55388089e-12 6.08680230e-12 3.34798098e-12\n 5.40505237e-12 4.08008261e-12 2.94148037e-12 5.02567971e-01\n 5.44721782e-12 7.61501935e-14 2.09388902e-12 2.76069067e-12\n 9.20190331e-12 1.51204344e-03 1.51546326e-11 3.99999996e-03\n 2.60363482e-01 6.57964447e-11 5.04167538e-01 4.00000012e-03\n 1.13318975e-11 5.72710514e-12 1.90600000e+00 1.90297591e+00\n 1.90600000e+00 1.89644493e+00 5.21753586e-01 4.01213721e-01\n 4.34223093e-01 1.89400000e+00 7.88521278e-01 1.90600000e+00\n 2.51363268e-01 2.26793201e+00 2.25478467e+00 2.26892368e+00\n 2.25180897e+00 6.93805470e-01 7.90057976e-01 5.94578776e-01\n 2.24865720e+00 9.75751814e-01 2.27007954e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": 266.2920000160695, ""dcost"": 266.29200003650686, ""pres"": 3.2847936371722345e-13, ""dres"": 1.0812000701301106e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.852852674388207, ""dinfres"": NaN, ""gap"": 1.9643715680051724e-06, ""relgap"": 7.376757723611187e-09, ""r0"": 1e-08, ""iter"": 12, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.000847458, ""tsetup"": 7.4375e-05, ""tsolve"": 0.000773083}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2956,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,recipe,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:59,0.005832195281982422,OPTIMAL,-266.2929194510166,-266.2924300452022,-0.0004894058143918301,7.641065063317544e-08,2.1806826339916493e-07,575,"{""solver_solve_time"": 0.003206332, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -266.2924300452022, ""solver_stats"": {""solve_time"": 0.003206332, ""num_iters"": 575, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.70103203e-01,\n -1.99999961e+00, -2.00000000e+00, -1.99999978e+00, -2.00000000e+00,\n -5.10802838e-01, -6.01596593e-01, -1.13411625e+00, -1.99999319e+00,\n -1.08838219e-02, -2.00000050e+00, 1.27050821e-01, -2.00199915e+00,\n -2.00200000e+00, -2.00199951e+00, -2.00068909e+00, -5.60625868e-01,\n -5.99596593e-01, -8.62485659e-01, -1.99798517e+00, -2.06100218e-02,\n -2.00200108e+00, 8.39983751e-02, -2.00399870e+00, -2.00283000e+00,\n -2.00399925e+00, -1.99868909e+00, -6.10453617e-01, -5.97596593e-01,\n -5.90838736e-01, -1.99597716e+00, -3.03330055e-02, -2.00400166e+00,\n 4.20454947e-02, -2.00599824e+00, -2.00366000e+00, -2.00599899e+00,\n -1.99668909e+00, -6.60283609e-01, -5.99596593e-01, -3.19181508e-01,\n -1.99396914e+00, -1.92863609e+00, -2.00600225e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -2.05067307e-01,\n -1.94499481e-07, -6.38123375e-16, -1.11378030e-07, -2.18115190e-11,\n -1.54187518e+00, -1.39840341e+00, -1.14647514e+00, -3.40493119e-06,\n -3.24573800e-18, 2.48108380e-07, 3.44881469e-08, 3.20251228e-16,\n 1.97492648e-08, -1.09058905e-11, -2.32408899e-16, 6.39492944e-14,\n -5.72031903e-01, -4.00868960e-06, -8.40153978e-17, -4.39939399e-08,\n 1.13168596e-16, -2.28986940e-07, -3.63586977e-16, -1.31126902e-07,\n -1.31091185e-03, -3.96995202e-01, -4.00000000e-03, -5.74431898e-01,\n -4.00862114e-03, 2.15692739e-16, 2.92101443e-07, 3.44878813e-08,\n -2.08423096e-16, 1.97491123e-08, -3.15150446e-11, -1.49884416e-16,\n 6.35717400e-14, -5.72027591e-01, -4.00865872e-06, -8.43654946e-17,\n -4.39936003e-08, -6.66981661e-17, -2.28985176e-07, -1.17000165e-03,\n -1.31125892e-07, -4.00000007e-03, -3.96979826e-01, -4.00000000e-03,\n -5.74427585e-01, -4.00862108e-03, 2.14409497e-16, 2.92099193e-07,\n 3.44874731e-08, -5.20614905e-16, 1.97488782e-08, -3.15150460e-11,\n -9.12950509e-18, -2.28154125e-14, -5.72024637e-01, -4.00861114e-06,\n 6.12986401e-16, -4.39930778e-08, -2.22071074e-17, -2.28982458e-07,\n -1.16999878e-03, -1.31124336e-07, -4.00000007e-03, -3.96970470e-01,\n 6.39050148e-14, -5.74424631e-01, -4.00862097e-03, 7.69699331e-17,\n 2.92095726e-07, -1.90599810e+00, -1.90366000e+00, -1.90599891e+00,\n -1.89668909e+00, -6.38877952e-01, -4.99596593e-01, -4.53223318e-01,\n -1.89396681e+00, -1.83407793e+00, -1.90600242e+00, -8.67615330e-03,\n -2.16894868e+00, -2.12205887e+00, -2.16799171e+00, -2.10630570e+00,\n -9.02973809e-01, -8.98782831e-01, -6.93222758e-01, -2.10390733e+00,\n -2.03407709e+00, -2.15612873e+00]), y=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.00000260e+01, 2.00000000e+01,\n 2.00000138e+01, 2.00000000e+01, 1.61313661e-14, 2.00000000e+01,\n -2.13147199e-14, 2.00004727e+01, 0.00000000e+00, 1.99999654e+01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.00000000e+00, 0.00000000e+00,\n 1.50005566e+01, 1.61979805e-16, 0.00000000e+00, 0.00000000e+00,\n 1.00000306e+01, 1.50000000e+01, 1.00000162e+01, 1.50000000e+01,\n 0.00000000e+00, 8.00000000e+00, 0.00000000e+00, 2.99991617e+00,\n -1.39461607e-16, 9.99995929e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.00000001e+00,\n 5.03853159e-16, 5.00000000e+00, 0.00000000e+00, 1.20005566e+01,\n 1.61979805e-16, 0.00000000e+00, 7.19070131e-17, 1.00000306e+01,\n 1.50000000e+01, 1.00000162e+01, 1.00000000e+01, 4.03082527e-15,\n 5.00000000e+00, 4.03082527e-15, 2.99991617e+00, -1.34983170e-16,\n 9.99995929e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.00000001e+00, 0.00000000e+00,\n 7.49307119e-33, 0.00000000e+00, 1.20005565e+01, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.00000306e+01, 1.50000000e+01,\n 1.00000162e+01, 1.00000000e+01, 0.00000000e+00, 1.00000000e+01,\n 4.03082527e-15, 2.99991618e+00, 0.00000000e+00, 9.99995929e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.00000177e+01, 2.00000000e+01,\n 2.00000094e+01, 2.00000000e+01, 0.00000000e+00, 2.00000000e+01,\n 0.00000000e+00, 2.00003227e+01, -1.11569285e-15, 1.99999764e+01,\n 0.00000000e+00, -2.69966341e-15, -5.75760172e-16, 1.07986536e-15,\n 7.10743342e-16, 0.00000000e+00, 4.03082527e-15, 0.00000000e+00,\n -4.02867814e-16, 0.00000000e+00, 2.23138571e-15, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 7.19999740e+01, 1.90000000e+01, 6.69999862e+01,\n 8.99999999e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 7.99952727e+00, 2.00000000e+01, 5.10000346e+01, 1.30000005e+02,\n 4.50000000e+01, 5.30000024e+01, 5.50000000e+01, 7.50000000e+01,\n 1.10000000e+02, 0.00000000e+00, 5.79994434e+01, 4.80000000e+02,\n 1.53999994e+02, 1.21000000e+02, 2.99999694e+01, 1.00000000e+01,\n 5.69999838e+01, 0.00000000e+00, 0.00000000e+00, 3.62767271e-17,\n 0.00000000e+00, -1.34983170e-17, 2.00000000e+01, 5.10000407e+01,\n 1.30000005e+02, 5.50000000e+01, 9.30000024e+01, 5.50000000e+01,\n 7.50000000e+01, 1.10000000e+02, 0.00000000e+00, 5.49994434e+01,\n 4.80000000e+02, 1.53999994e+02, 1.21000000e+02, 2.99999694e+01,\n 0.00000000e+00, 1.69999838e+01, 6.74915852e-17, -3.88751531e-15,\n 8.43644815e-18, 0.00000000e+00, -2.02474756e-17, 2.00000000e+01,\n 5.10000407e+01, 1.30000005e+02, 5.50000000e+01, 9.30000024e+01,\n 5.50000000e+01, 7.50000000e+01, 1.05000000e+02, 0.00000000e+00,\n 5.49994435e+01, 4.98000000e+03, 1.53999994e+02, 1.10000000e+02,\n 2.99999694e+01, 1.57454112e-17, 1.69999838e+01, 6.74915852e-17,\n 1.43309959e-16, 5.00000000e+00, 0.00000000e+00, -2.02474756e-17,\n 2.00000000e+01, 5.10000407e+01, 0.00000000e+00, -9.71878827e-15,\n 0.00000000e+00, -4.85939414e-15, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.61979805e-15, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=266.2924300452022, prim_res=4.008689601225786e-06, dual_res=0.00032267554932493073, iter=575, rho_updates=2, rho_estimate=0.2061554426538381, setup_time=0.000135333, solve_time=0.003024208, update_time=0.0, polish_time=4.6791e-05, run_time=0.003206332))""}}, ""problem_class"": ""LP""}" +2957,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,recipe,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:00,0.16733503341674805,OPTIMAL,-266.2920039687795,-266.2920018768075,-2.0919720213896653e-06,6.124969750042253e-08,1.499884084938763e-11,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -266.2920018768075, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2958,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,recipe,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:01,0.020313024520874023,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +2959,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,recipe,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 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1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:02,0.0030829906463623047,OPTIMAL,-266.29200000000003,-266.292,-5.684341886080802e-14,0.0,2.021509786388096e-17,24,"{""solver_solve_time"": 0.0006524994969367981, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -266.292, ""solver_stats"": {""solve_time"": 0.0006524994969367981, ""num_iters"": 24, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2961,scipy_linprog,scipy-1.15.3,NETLIB,sc105,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, 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2.25494857e-03\n 5.86286647e-03 4.05890774e-03 2.14220121e-03 3.94616015e-03\n 3.04418079e-03 2.14220110e-03 3.94616009e-03 3.04418081e-03\n 1.83214574e-03 2.73412523e-03 2.28313559e-03 1.83214563e-03\n 2.73412516e-03 2.28313562e-03 1.48685670e-03 1.93784646e-03\n 1.71235170e-03 1.48685660e-03 1.93784638e-03 1.71235173e-03\n 1.17151620e-03 1.39701109e-03 1.28426377e-03 1.17151610e-03\n 1.39701101e-03 1.28426381e-03 9.06823955e-04 1.01957141e-03\n 9.63197820e-04 9.06823864e-04 1.01957133e-03 9.63197853e-04\n 6.94211330e-04 7.50585060e-04 7.22398343e-04 6.94211251e-04\n 7.50584992e-04 7.22398372e-04 5.27705124e-04 5.55891994e-04\n 5.41798734e-04 5.27705068e-04 5.55891950e-04 5.41798753e-04\n 3.99302089e-04 4.13395541e-04 4.06348853e-04 3.99302085e-04\n 4.13395546e-04 4.06348847e-04 3.01238166e-04 3.08284900e-04\n 3.04761131e-04 3.01238238e-04 3.08284977e-04 3.04761110e-04\n 9.10761388e-04 9.17808128e-04 9.14285236e-04 9.10761327e-04\n 9.17808068e-04 9.14285322e-04 3.91444813e-03 3.92227784e-03\n 3.91836305e-03]"", ""info"": {""exitFlag"": 0, ""pcost"": 52.20206089903236, ""dcost"": 52.20206090196664, ""pres"": 1.9279273612970093e-10, ""dres"": 3.7626171437322735e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.07781006071219514, ""dinfres"": NaN, ""gap"": 5.98881426071852e-08, ""relgap"": 1.1472371314928105e-09, ""r0"": 1e-08, ""iter"": 14, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.001158041, ""tsetup"": 9.1083e-05, ""tsolve"": 0.001066958}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2974,cvxpy_osqp,unknown,NETLIB,sc205,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:09,0.05945920944213867,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2975,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,sc205,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:10,0.3327157497406006,OPTIMAL,-52.2020609729081,-52.202060970243146,-2.664954479314474e-09,2.374408248402099e-11,2.3464818204587603e-11,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, 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1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:13,0.006021022796630859,OPTIMAL,-14753432.96219353,-14753432.927138615,-0.03505491465330124,1.7675862350397446e-09,4.911532024655033e-13,17,"{""solver_solve_time"": 0.003035333, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -14753432.927138615, ""solver_stats"": {""solve_time"": 0.003035333, ""num_iters"": 17, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2981,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,scagr25,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 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1.16225904e-07 2.99103972e-08 1.44119443e-08\n 8.78340467e-09 4.65241314e-09 2.25731773e-09 8.88883813e-10\n -3.88764489e-10 1.25974702e-08 1.02164078e-08 1.00432445e-08\n 9.90408377e-09 9.79869153e-09 9.67354466e-09 9.91924043e-09\n 9.93961231e-09 1.11764108e-08 9.53300643e-09 1.13408833e-08\n 1.10694488e-08 1.31999976e-01 2.63999975e-01]"", ""y"": ""[]"", ""z"": ""[1.33227645e-09 1.58000000e+02 1.58000000e+02 4.22351057e-07\n 1.58000000e+02 1.58000000e+02 1.31522678e+03 2.50437333e+03\n 1.42999995e+03 1.65039995e+03 2.53041433e-06 9.08293406e-07\n 6.79002023e-07 1.46401119e-09 1.58000000e+02 1.58000000e+02\n 3.75200000e+02 2.77745355e+02 2.39999993e+03 1.19999995e+03\n 1.49578872e-09 1.87600000e+02 1.87599999e+02 1.12873865e-06\n 1.87600000e+02 1.87599999e+02 3.30778333e+03 2.56667000e+03\n 3.12666684e+02 7.12879992e+02 5.86459000e+02 9.95345869e-07\n 6.38879004e-07 1.67678340e-09 1.87600000e+02 1.87599999e+02\n 4.20640000e+02 4.82426021e+02 2.39999995e+03 1.19999994e+03\n 1.86310257e-09 2.10320000e+02 2.10319997e+02 3.16681195e-06\n 2.10320000e+02 2.10319997e+02 3.18358066e+03 2.56667000e+03\n 3.50533329e+02 7.99216010e+02 1.13379980e+03 1.09724267e-06\n 6.01875234e-07 2.07844790e-09 2.10320000e+02 2.10319997e+02\n 4.82048000e+02 5.96678955e+02 2.39999995e+03 1.19999996e+03\n 2.37431386e-09 2.41024000e+02 1.14226411e-05 2.41023989e+02\n 2.41024000e+02 1.14206353e-05 3.47367772e+03 2.56667000e+03\n 4.01706667e+02 4.57945618e+02 1.35073999e+03 1.24673166e-06\n 5.67817614e-07 2.85334639e-09 2.41024000e+02 1.14226366e-05\n 5.47753600e+02 7.56303137e+02 2.39999995e+03 1.19999996e+03\n 3.23982318e-09 2.73876800e+02 3.58174754e-06 2.73876796e+02\n 2.73876800e+02 3.57974186e-06 3.35650276e+03 2.56667000e+03\n 4.56461327e+02 5.20365921e+02 1.94589137e+03 1.43357661e-06\n 5.36508653e-07 3.29249465e-09 2.73876800e+02 3.58174249e-06\n 6.24451520e+02 9.35660090e+02 2.39999994e+03 1.19999995e+03\n 3.92032901e-09 3.12225760e+02 2.13607642e-06 3.12225758e+02\n 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2.91114757e+02 4.36672136e+02 5.83224614e-08 7.27786892e+02\n 4.36672136e+02 5.63236914e-08 5.68702185e+03 7.60686976e-08\n 1.21297815e+03 7.79461300e-08 1.46925618e+04 8.29677058e+02\n 6.52097720e-08 7.20864897e-08 4.36672136e+02 5.83396443e-08\n 1.45557378e+03 1.79867098e+03 2.39999992e+03 1.29730253e-05\n 2.91114757e+02 4.36672136e+02 5.59531074e-08 7.27786892e+02\n 4.36672136e+02 5.39511854e-08 5.68702178e+03 7.61813671e-08\n 1.21297822e+03 7.80928772e-08 1.46925618e+04 8.29677058e+02\n 6.53048658e-08 6.22317326e-08 4.36672136e+02 5.59517403e-08\n 1.45557378e+03 1.80000000e+03 2.40000000e+03 1.29596561e-05\n 7.14725564e+01 6.56314336e+02 5.45613275e-08 7.27786892e+02\n 6.56314336e+02 5.25557860e-08 5.68702189e+03 7.11537723e-08\n 1.21297811e+03 7.28823847e-08 1.51538104e+04 1.24699724e+03\n 6.15796475e-08 5.69761666e-08 6.56314336e+02 5.45603329e-08\n 1.45557379e+03 1.74751670e+03 2.39999994e+03 1.28495948e-05\n 8.80301226e-07 7.27786892e+02 5.42100237e-08 7.27786893e+02\n 7.27786892e+02 5.22045268e-08 5.68702185e+03 7.06407505e-08\n 1.21297815e+03 7.23888775e-08 1.54093310e+04 1.38279509e+03\n 6.11997941e-08 5.10828490e-08 7.27786892e+02 5.42091351e-08\n 1.67521599e+03 1.56989794e+03 2.39999994e+03 1.30887255e-05\n 1.06087246e-07 8.37607993e+02 5.38871480e-08 8.37607993e+02\n 8.37607993e+02 5.18815225e-08 5.71369274e+03 7.02017973e-08\n 1.18630726e+03 7.20125841e-08 1.77213275e+04 1.59145519e+03\n 6.08630043e-08 3.65451918e-08 8.37607993e+02 5.38863031e-08\n 1.90043808e+03 1.21268600e+03 2.14835266e+03 1.29476957e-05\n 2.22149758e-07 9.50219041e+02 5.36185360e-08 9.50219041e+02\n 9.50219041e+02 5.16124509e-08 6.09999996e+03 6.98874683e-08\n 8.00000035e+02 7.19074066e-08 2.01095947e+04 1.80541618e+03\n 6.05696869e-08 4.35698146e-08 9.50219041e+02 5.36176953e-08\n 2.16791465e+03 7.25209083e+02 1.20791463e+03 1.28839821e-05\n 3.68115397e-08 1.08395732e+03 2.66935136e-07 1.08395732e+03\n 1.08395732e+03 2.64929361e-07 6.09999998e+03 7.00671333e-08\n 8.00000020e+02 7.22793054e-08 2.29373801e+04 2.05951891e+03\n 6.03437501e-08 1.08395732e+03 1.23866091e-08 2.66929339e-07\n 2.46775930e+03 1.10454094e-08 6.88339616e-08 2.71308458e-07\n 6.22966689e+01 1.60000000e+03 1.52225464e+03 6.54811514e-05\n 5.15382517e-05 1.91098268e-06 1.60000000e+03 4.54400000e+01\n 1.31757398e+03 4.52864554e-05 5.69236703e-05 2.35386226e-06\n 1.60000000e+03 6.14080000e+01 1.20332105e+03 4.99332280e-05\n 4.01183389e-05 3.04943837e-06 1.60000000e+03 6.57056000e+01\n 1.04369686e+03 4.97509265e-05 4.26733469e-05 4.39574285e-06\n 1.60000000e+03 7.66979200e+01 8.64339910e+02 5.68257331e-05\n 4.68399435e-05 9.15779990e-06 1.60000000e+03 8.65413440e+01\n 7.80782748e+02 5.61730342e-05 4.64341456e-05 7.83010673e+02\n 1.60000000e+03 9.89279008e+01 6.49345323e+02 5.35554005e-05\n 4.42298345e-05 2.56666999e+03 1.60000000e+03 1.12520203e+02\n 2.85181239e+02 5.38976478e-05 4.43219265e-05 2.56667000e+03\n 1.60000000e+03 1.28228092e+02 6.21817328e+01 5.52027418e-05\n 4.81683638e-05 2.56667000e+03 1.60000000e+03 1.46019766e+02\n 3.92277722e-05 4.34695425e-05 3.65636411e-05 2.56667000e+03\n 1.60000000e+03 1.66327882e+02 2.12591524e-08 1.12727101e-07\n 6.04865548e+02 2.56667000e+03 1.60000000e+03 9.25570769e+01\n 1.06322335e+01 5.61300085e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 7.79723440e-08 9.30320423e+00 4.93401633e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 7.31884622e-08\n 7.97417470e+00 4.42586378e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 7.23902197e-08 6.64514518e+00 3.94456062e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 7.43825036e-08\n 5.31611550e+00 3.59130305e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 7.92770896e-08 3.98708365e+00 4.58413860e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 8.80255570e-08\n 2.65804942e+00 7.04250797e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 1.02680328e-07 1.32901762e+00 8.10200135e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 1.27225074e-07\n 7.03204757e-07 3.03745368e-06 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 2.40902367e-07 5.24833012e+01 5.56430486e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 2.19642200e+02\n 2.30102065e+02 5.61971521e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 2.25222096e+02 5.87314003e+02 2.51647335e+02\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 2.67476568e+02\n 1.07479092e+03 1.19208537e+03 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 2.99844646e+02 2.28039989e+03 2.25546675e+02\n 3.49749339e+02 5.96522848e+01 1.76827249e+02 3.13605214e+02\n 4.67937279e+02 6.44358697e+02 8.45019719e+02 1.07369317e+03\n 7.29229585e+02 3.35847210e+02 4.12978159e+02 4.12978158e+02\n 4.12978158e+02 4.12978157e+02 4.12978146e+02 4.12978133e+02\n 4.12978145e+02 4.12978219e+02 4.12978110e+02 4.12978154e+02\n 3.86307256e+02 3.53613908e-05 2.03041796e-05]"", ""s"": ""[5.26727364e+03 3.97552793e-08 4.02839976e-08 1.35494999e+01\n 3.98144321e-08 4.03383807e-08 4.42330919e-09 2.71022571e-09\n 5.98059986e-09 4.39782027e-09 2.39999993e+00 6.47999998e+00\n 9.18000002e+00 5.01202414e+03 3.96844504e-08 4.02839979e-08\n 1.71128342e-08 2.01098342e-08 2.92306841e-09 6.48945906e-09\n 4.36776998e+03 3.35043349e-08 3.39034287e-08 5.16450007e+00\n 3.35403508e-08 3.39367625e-08 1.96382987e-09 2.66142447e-09\n 1.72913745e-08 8.81055711e-09 1.04067699e-08 5.88000001e+00\n 9.78000002e+00 4.12090548e+03 3.34083648e-08 3.39034289e-08\n 1.52406215e-08 1.27164414e-08 2.80032994e-09 5.98853990e-09\n 3.58527445e+03 2.98833875e-08 3.03860131e-08 1.81950003e+00\n 2.99192286e-08 3.04185172e-08 2.09053197e-09 2.65309983e-09\n 1.71633567e-08 7.32732849e-09 5.47606540e-09 5.28000000e+00\n 1.03800000e+01 3.34175495e+03 2.97836330e-08 3.03860132e-08\n 1.32984074e-08 1.06037225e-08 2.72455608e-09 5.60820689e-09\n 2.90002736e+03 2.60832105e-08 5.07333998e-01 3.27976808e-08\n 2.61129223e-08 5.10831857e-01 1.87699500e-09 2.66069867e-09\n 1.65300957e-08 1.44164574e-08 4.61052177e-09 4.68000012e+00\n 1.09800000e+01 2.65985286e+03 2.61118637e-08 5.07334007e-01\n 1.16807539e-08 8.31606669e-09 2.72569447e-09 5.66260565e-09\n 2.30074923e+03 2.29911623e-08 1.61772158e+00 3.20195033e-08\n 2.30183289e-08 1.63505679e+00 1.97426755e-09 2.67678604e-09\n 1.36851142e-08 1.24419586e-08 3.33258740e-09 4.08000003e+00\n 1.15800000e+01 2.06391973e+03 2.29608471e-08 1.61772166e+00\n 1.02735035e-08 6.79259663e-09 2.69092194e-09 5.45154863e-09\n 1.77561143e+03 2.01787567e-08 2.72799173e+00 2.37986976e-08\n 2.02034887e-08 2.75951639e+00 2.12205359e-09 2.56903154e-09\n 1.20404826e-08 1.08530762e-08 2.40898775e-09 3.48000002e+00\n 1.21800000e+01 1.54212693e+03 2.02457769e-08 2.72799194e+00\n 9.03147218e-09 6.32085807e-09 2.68139211e-09 5.49372354e-09\n 1.31861509e+03 1.77688353e-08 3.84007951e+00 1.90612279e-08\n 1.77922489e-08 3.88034068e+00 1.65346381e-09 4.57454916e-09\n 1.08121063e-08 9.71549738e-09 1.29005775e-09 2.88000001e+00\n 1.27800000e+01 1.08847559e+03 1.77711175e-08 3.84007988e+00\n 7.96504108e-09 5.48058978e-09 2.69864304e-09 5.58728667e-09\n 9.14501380e+02 1.56223547e-08 4.95348388e+00 1.61998356e-08\n 1.56441147e-08 4.99853179e+00 1.19109299e-09 6.00000010e-01\n 9.33451472e-09 8.61575901e-09 7.51230982e-10 2.28000000e+00\n 1.33800000e+01 6.87706880e+02 1.56526826e-08 4.95348443e+00\n 7.01009735e-09 4.16126159e-09 2.68816455e-09 5.63988517e-09\n 5.72634874e+02 1.37677221e-08 6.07030255e+00 1.40106723e-08\n 1.37885963e-08 6.10989468e+00 1.27228115e-09 1.20000002e+00\n 8.07452302e-09 8.15976273e-09 6.71248595e-10 1.67999999e+00\n 1.39800000e+01 3.49185374e+02 1.38303071e-08 6.07030297e+00\n 6.17316506e-09 3.66704082e-09 2.64729853e-09 5.53648884e-09\n 2.49387569e+02 1.21376698e-08 7.20662872e+00 1.22567312e-08\n 1.21575730e-08 7.20674235e+00 1.35085585e-09 1.80000005e+00\n 7.54845329e-09 8.72327681e-09 5.94672200e-10 1.07999996e+00\n 1.45800001e+01 2.93075689e+01 1.21890553e-08 7.20662900e+00\n 5.44983707e-09 3.58877775e-09 2.74548567e-09 5.83035439e-09\n 2.46061521e+01 1.06855986e-08 7.16631433e+01 1.07034236e-08\n 1.07026512e-08 7.37663213e+01 1.26391122e-09 2.40999996e+00\n 6.44808321e-09 1.12438054e-08 5.28304452e-10 4.70000051e-01\n 1.51900000e+01 5.63431760e-08 1.30831562e-08 7.16643834e+01\n 4.80979003e-09 3.62157646e-09 2.75374026e-09 1.33245037e-08\n 2.63865397e-08 1.44533615e-08 1.03921994e+02 9.42187011e-09\n 1.44743029e-08 1.08394735e+02 1.16572732e-09 8.14171829e+01\n 5.66528215e-09 7.85371829e+01 4.83829196e-10 4.20748853e-08\n 9.41971829e+01 7.45406473e+01 1.46415554e-08 1.03923918e+02\n 4.57294520e-09 3.65978325e-09 2.75969522e-09 4.69999968e-01\n 2.27680811e-08 1.44715154e-08 1.04636980e+02 8.92104411e-09\n 1.44924604e-08 1.09170174e+02 1.18046972e-09 8.20171830e+01\n 5.33300447e-09 7.91371830e+01 4.66001758e-10 7.64308557e-09\n 9.47971830e+01 7.67456478e+01 1.46510939e-08 1.04638493e+02\n 4.56688784e-09 3.65628361e-09 2.74845850e-09 4.70000005e-01\n 2.25343443e-08 1.44946676e-08 1.05353146e+02 8.90705570e-09\n 1.45159881e-08 1.09943250e+02 1.18069706e-09 8.26171831e+01\n 5.31375753e-09 7.97371831e+01 4.65386635e-10 7.64917289e-09\n 9.53971831e+01 7.89506483e+01 1.46502842e-08 1.05354252e+02\n 4.56409267e-09 3.65383953e-09 2.73591660e-09 4.70000005e-01\n 2.24324740e-08 1.45079830e-08 1.06070266e+02 8.89935081e-09\n 1.45295719e-08 1.10714444e+02 1.18058775e-09 8.32171832e+01\n 5.30001114e-09 8.03371832e+01 4.65127451e-10 7.65397058e-09\n 9.59971832e+01 8.11556488e+01 1.46455049e-08 1.06070939e+02\n 4.56192224e-09 3.65151620e-09 2.72257939e-09 4.70000005e-01\n 2.23765415e-08 1.45145517e-08 1.06787766e+02 8.89319106e-09\n 1.45363396e-08 1.11484940e+02 1.17993420e-09 8.38171834e+01\n 5.29316069e-09 8.09371834e+01 4.64971779e-10 7.65697600e-09\n 9.65971834e+01 8.33606494e+01 1.46380232e-08 1.06787943e+02\n 4.55964421e-09 3.64929264e-09 2.70987068e-09 4.70000005e-01\n 2.23436205e-08 1.45162236e-08 1.07505468e+02 8.88696956e-09\n 1.45381822e-08 1.12255113e+02 1.17851015e-09 8.44171836e+01\n 5.29840904e-09 8.15371836e+01 4.64921814e-10 7.65777627e-09\n 9.71971836e+01 8.55656501e+01 1.46278260e-08 1.07505069e+02\n 4.55695862e-09 3.64685805e-09 2.70021617e-09 4.70000005e-01\n 2.23254531e-08 1.45138145e-08 1.08223326e+02 8.87971371e-09\n 1.45359696e-08 1.13025187e+02 1.17474950e-09 8.50171837e+01\n 5.34783360e-09 8.21371837e+01 4.65061696e-10 7.65469028e-09\n 9.77971837e+01 8.77706508e+01 1.46143005e-08 1.08222137e+02\n 4.55359822e-09 3.64114740e-09 2.70630465e-09 4.70000005e-01\n 2.23153165e-08 1.45088992e-08 1.08941449e+02 8.87036293e-09\n 1.45314167e-08 1.13796463e+02 1.17384108e-09 8.56171839e+01\n 5.33260886e-09 8.27371839e+01 4.65497964e-10 7.64106779e-09\n 9.83971839e+01 8.99756526e+01 1.45979487e-08 1.08937741e+02\n 4.54935462e-09 3.63961135e-09 2.70880077e-09 4.70000005e-01\n 2.22608188e-08 1.45159838e-08 1.12734428e+02 8.85758533e-09\n 1.45397408e-08 1.17908361e+02 1.17080970e-09 8.62171846e+01\n 5.35213233e-09 8.33371846e+01 4.66411335e-10 7.59512574e-09\n 9.89971846e+01 1.01677403e+02 1.45961443e-08 1.12734614e+02\n 4.54521421e-09 3.64059272e-09 2.72426966e-09 4.70000003e-01\n 8.09331600e-08 8.66033860e-09 1.14985235e+02 8.84093335e-09\n 8.64182668e-09 1.20360189e+02 1.17096856e-09 9.06934090e+01\n 5.29700453e-09 8.78134090e+01 4.47012655e-10 4.82341586e-09\n 1.03473409e+02 1.08630778e+02 8.64178380e-09 1.14985355e+02\n 4.54755670e-09 3.79065414e-09 2.72139371e-09 4.70000005e-01\n 1.37456189e+01 9.22435796e-09 1.15689467e+02 8.82592195e-09\n 9.24279658e-09 1.21156746e+02 1.15803173e-09 9.12934090e+01\n 5.47355172e-09 8.84134090e+01 4.53305010e-10 4.84154590e-09\n 1.04073409e+02 1.24581397e+02 9.30452739e-09 1.15689565e+02\n 3.75301755e-09 4.22921340e-09 2.79423801e-09 4.70000005e-01\n 6.03597060e+01 7.45972304e-09 1.16372269e+02 7.42875928e-09\n 7.46630883e-09 1.21996149e+02 1.15986407e-09 9.18934090e+01\n 5.42049598e-09 8.90134090e+01 3.64205160e-10 3.99537215e-09\n 1.04673409e+02 1.73400484e+02 7.48741885e-09 1.16372360e+02\n 3.51296233e-09 5.49022971e-09 3.26929260e-09 4.70000005e-01\n 2.80542219e+01 6.94031763e-09 1.16996038e+02 6.89471615e-09\n 6.95652959e-09 1.22953605e+02 1.08373798e-09 9.24934090e+01\n 8.07930325e-09 8.94814090e+01 3.53372230e-10 3.63900927e-09\n 1.05273409e+02 1.43300000e+02 6.95652955e-09 1.16996135e+02\n 3.02262634e-09 9.09488454e-09 5.52267577e-09 4.70000005e-01\n 1.71973074e+02 5.98500823e-09 2.30823711e+01 6.13125828e-09\n 6.00180438e-09 2.35621653e+01 1.08539678e-09 9.30934090e+01\n 7.94019118e-09 8.99494090e+01 3.00816669e-10 3.15004178e-09\n 1.05873409e+02 5.98104242e-09 5.18700000e+02 2.30823897e+01\n 2.68194299e-09 5.75967045e+02 9.40145075e+01 2.29700000e+01\n 9.09024013e-08 4.09945710e-09 4.32939151e-09 1.09999969e-01\n 1.29999974e-01 2.99999998e+00 4.09827119e-09 1.34999169e-07\n 5.11898856e-09 1.10000013e-01 1.30000019e-01 2.39999999e+00\n 4.09267617e-09 1.00918038e-07 5.74967470e-09 1.09999906e-01\n 1.29999882e-01 1.79999999e+00 4.08149185e-09 9.41019581e-08\n 6.94368794e-09 1.10000076e-01 1.30000093e-01 1.19999999e+00\n 4.06904260e-09 8.16520488e-08 8.56062080e-09 1.10000016e-01\n 1.30000022e-01 5.99999993e-01 4.05772291e-09 7.20768578e-08\n 9.64362464e-09 1.10000005e-01 1.30000008e-01 6.87214769e-09\n 4.04809741e-09 6.37985957e-08 1.24946759e-08 1.10000009e-01\n 1.30000014e-01 2.47434443e-09 4.04032943e-09 5.55876791e-08\n 2.81809910e-08 1.10000009e-01 1.30000013e-01 2.49247776e-09\n 4.03353420e-09 4.99440991e-08 1.66485084e-07 1.10000030e-01\n 1.30000037e-01 2.49206128e-09 4.02796299e-09 4.51721045e-08\n 4.99995235e-02 1.18333259e-01 1.39999915e-01 2.50478343e-09\n 4.02897646e-09 4.24465102e-08 3.92035915e+02 6.54493191e+01\n 1.18182038e-08 2.50728373e-09 4.01639485e-09 6.66412563e-08\n 5.73653273e-07 1.10000097e-01 5.55440152e-09 2.50655727e-09\n 4.01532246e-09 7.93060216e+01 5.96060532e-07 1.10000100e-01\n 5.54781984e-09 2.50592308e-09 4.01442550e-09 8.34348957e+01\n 6.46031360e-07 1.10000109e-01 5.54675233e-09 2.50530183e-09\n 4.01362724e-09 8.47222692e+01 7.32836710e-07 1.10000123e-01\n 5.54706906e-09 2.50460590e-09 4.01285549e-09 8.31681421e+01\n 8.73015769e-07 1.10000147e-01 5.54729688e-09 2.50374426e-09\n 4.01204688e-09 7.87725142e+01 9.13701106e-07 1.10000153e-01\n 5.54719293e-09 2.50263975e-09 4.01113967e-09 7.15353856e+01\n 9.95200954e-07 1.10000166e-01 5.54790947e-09 2.50126526e-09\n 4.01007202e-09 6.14567561e+01 3.16112018e-06 1.10000524e-01\n 5.55885113e-09 2.49965897e-09 4.00880774e-09 4.85366248e+01\n 1.93811221e+01 3.34018702e+00 5.66628084e-09 2.49780540e-09\n 4.00742226e-09 2.53391018e+01 9.87571911e-08 1.10000014e-01\n 5.19271396e-09 2.49558023e-09 4.00615265e-09 4.27893468e-08\n 2.70436959e-08 1.10000006e-01 5.73059566e-09 2.49410456e-09\n 4.00506879e-09 2.70350825e-08 1.07399124e-08 2.81982140e-08\n 5.45000447e-09 2.49536783e-09 4.00494001e-09 1.87597196e-08\n 5.96586256e-09 5.37424844e-09 5.57625379e-09 2.50788409e-09\n 4.00894398e-09 2.28862228e-08 4.85812659e-09 2.24171694e-08\n 7.55379962e-09 1.21369700e-07 3.53937549e-08 1.97782750e-08\n 1.41205052e-08 1.00629539e-08 7.73694815e-09 6.04814435e-09\n 8.02560542e-09 1.86075122e-08 1.55537395e-08 1.53974595e-08\n 1.52603623e-08 1.51678679e-08 1.51890786e-08 1.56004830e-08\n 1.55042694e-08 1.57017124e-08 1.55125696e-08 1.67546075e-08\n 1.66042134e-08 1.31999981e-01 2.63999980e-01]"", ""info"": {""exitFlag"": 0, ""pcost"": 14753433.059801454, ""dcost"": 14753433.060014255, ""pres"": 4.66469521048079e-12, ""dres"": 4.832455691824493e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.846824438402975, ""dinfres"": NaN, ""gap"": 0.003168882477870512, ""relgap"": 2.1478949780570259e-10, ""r0"": 1e-08, ""iter"": 18, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.002780166, ""tsetup"": 0.000183583, ""tsolve"": 0.002596583}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2983,cvxpy_osqp,unknown,NETLIB,scagr25,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:16,0.1186530590057373,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2984,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,scagr25,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:16,0.04755592346191406,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2985,cvxpy_sdpa,unknown,NETLIB,scagr25,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:17,0.056201934814453125,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2986,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scagr25,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:18,0.01737499237060547,OPTIMAL,-18127937.273357697,-14753433.060768524,-3374504.2125891726,1.606836087702944,5.427753535572039e-20,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -14753433.060768524, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2987,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scagr25,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:18,0.007381916046142578,OPTIMAL,-14753433.060768524,-14753433.060768522,-1.862645149230957e-09,1.2388924243157523e-16,6.323776496363688e-20,316,"{""solver_solve_time"": 0.0036206673830747604, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -14753433.060768522, ""solver_stats"": {""solve_time"": 0.0036206673830747604, ""num_iters"": 316, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2988,scipy_linprog,scipy-1.15.3,NETLIB,scagr7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:19,0.0022640228271484375,OPTIMAL,-2331389.824330984,,,0.0,,106,"{""solver_solve_time"": 0.0022640228271484375, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -2331389.824330984, ""scipy_nit"": 106, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2989,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,scagr7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:19,0.0029129981994628906,OPTIMAL,-2331389.824428096,-2331389.8241566787,-0.00027141720056533813,4.3240130233532094e-11,1.936725764807127e-14,16,"{""solver_solve_time"": 0.000893087, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -2331389.8241566787, ""solver_stats"": {""solve_time"": 0.000893087, ""num_iters"": 16, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2990,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,scagr7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:20,0.2089691162109375,OPTIMAL,-2331390.653844058,-2331382.055918739,-8.597925318870693,5.25134190351433e-07,8.44978673034001e-09,43525,"{""solver_solve_time"": 0.206911, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -2331382.055918739, ""solver_stats"": {""solve_time"": 0.206911, ""setup_time"": 0.000145833, ""num_iters"": 43525, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-3.26725648e+03 -1.16895818e+02 3.32770664e+03 1.77346363e+02\n 6.06641080e+00 6.17564118e-01 3.38017511e+03 2.29815596e+02\n 4.21460898e+03 4.04448036e+01 5.12469887e+00 6.24848253e+00\n -2.55063940e+03 -9.55979192e+01 2.61490931e+03 1.59867790e+02\n 1.49998976e+01 4.33833533e-02 2.68398759e+03 2.28946005e+02\n 3.42735874e+03 4.34380542e+01 5.53604974e+00 6.74036770e+00\n -1.95504082e+03 -9.28410723e+01 2.01953564e+03 1.57335551e+02\n 1.49991574e+01 -3.32469294e-01 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5.04015752e-10 9.75983497e-10\n 1.36404591e+03 4.63584930e-09 4.65365367e-09 5.37227501e+01\n 4.63765170e-09 4.65496071e-09 3.25878181e-10 4.40931586e-10\n 1.31999951e-01 1.26877877e-09 5.95085011e-10 1.45900000e+01\n 1.06999999e+00 1.06862316e+03 4.63599346e-09 4.65365366e-09\n 2.04986702e-09 5.31287450e-09 6.15108189e-10 9.96716708e-10\n 9.56548667e+02 4.07932991e-09 4.09077376e-09 5.06247501e+01\n 4.08082541e-09 4.09105216e-09 3.19786150e-10 4.39984027e-10\n 1.33999976e-01 1.39496766e-09 4.20680108e-10 1.41200000e+01\n 1.66999999e+00 6.64223917e+02 4.07992594e-09 4.09077375e-09\n 1.79588663e-09 4.71070906e-09 8.47022541e-10 1.22400746e-09\n 4.32526750e+02 3.57967431e-09 3.58818993e-09 4.75267500e+01\n 3.58114677e-09 3.58773044e-09 3.20340505e-10 4.39514346e-10\n 1.35999978e-01 1.40770630e-09 3.14231248e-10 1.36500000e+01\n 2.26999999e+00 1.43300000e+02 3.58463091e-09 3.58818993e-09\n 1.57576624e-09 6.51899400e-09 1.54698558e-09 2.01283453e-09\n 3.23194250e+02 3.14522519e-09 3.14855422e-09 8.14942500e+01\n 3.14686975e-09 3.14968526e-09 3.21882073e-10 4.39284331e-10\n 1.37999979e-01 1.42960943e-09 2.44318200e-10 1.31800000e+01\n 2.86999999e+00 3.14480556e-09 5.18700000e+02 3.14855422e-09\n 1.38444619e-09 6.09499999e+01 7.95833336e+00 9.79000001e+00\n 1.75991855e-08 4.69999987e-01 6.20523219e-10 1.66663126e-03\n 2.15261997e-09 1.27800000e+01 1.50907197e-09 2.43453203e-08\n 6.26113413e-10 1.66663159e-03 1.47096018e-08 1.23100000e+01\n 6.92641213e-10 1.80887129e-08 6.76562458e-10 4.23318139e-08\n 1.29999981e-01 1.17100000e+01 7.27868895e-10 1.68902729e-08\n 7.15652750e-10 2.21296175e-09 2.95889373e-08 1.11100000e+01\n 7.27140179e-10 1.45041801e-08 7.25180139e-10 1.09279812e-09\n 4.22105266e-09 1.05100000e+01 7.25424176e-10 1.28534986e-08\n 6.94498554e-10 6.84506887e-10 1.81620930e-09 9.91000002e+00\n 7.29454822e-10 1.13174121e-08 9.00094779e-10 2.80386326e-09\n 3.79297099e-09 1.26390890e-08 1.29999984e-01 2.59999980e-01\n 3.89999979e-01]"", ""info"": {""exitFlag"": 0, ""pcost"": 2331389.824306036, ""dcost"": 2331389.8243213478, ""pres"": 1.4664835704452173e-12, ""dres"": 1.2373596652099633e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 1.4432359753664488, ""dinfres"": NaN, ""gap"": 0.0002748247196169434, ""relgap"": 1.1788020894229608e-10, ""r0"": 1e-08, ""iter"": 15, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.0006187079999999999, ""tsetup"": 6.925e-05, ""tsolve"": 0.000549458}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2992,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,scagr7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:21,0.03087902069091797,OPTIMAL,-2331247.4958588285,-2331243.4334578174,-4.062401011120528,1.0790297995187856e-06,1.037936202679792e-08,9400,"{""solver_solve_time"": 0.028575541, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -2331243.4334578174, ""solver_stats"": {""solve_time"": 0.028575541, ""num_iters"": 9400, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([-3.25221144e+03, -1.15825063e+02, 3.31283671e+03, 1.76450248e+02,\n 6.23104939e+00, 3.73945401e-01, 3.36599311e+03, 2.29606489e+02,\n 4.19785138e+03, 4.08642685e+01, 5.30471799e+00, 6.46547502e+00,\n -2.53876424e+03, -9.43143825e+01, 2.60313152e+03, 1.58681601e+02,\n 1.50000356e+01, -5.29248295e-02, 2.67258656e+03, 2.28136534e+02,\n 3.41338678e+03, 4.38642165e+01, 5.69457202e+00, 6.93435792e+00,\n -1.94590565e+03, -9.11581986e+01, 2.01052216e+03, 1.55774584e+02,\n 1.50002378e+01, -6.29526923e-01, 2.08140999e+03, 2.26662226e+02,\n 2.72145018e+03, 4.68639326e+01, 6.11244236e+00, 7.43252052e+00,\n -1.39528345e+03, -8.76549508e+01, 1.46024029e+03, 1.52611678e+02,\n 1.50004198e+01, -1.26059872e+00, 1.53281812e+03, 2.25189332e+02,\n 2.13174799e+03, 4.98725380e+01, 6.50721778e+00, 8.11280468e+00,\n -9.89129323e+02, -8.45326829e+01, 1.05432659e+03, 1.49729840e+02,\n 1.50006384e+01, -1.85556876e+00, 1.12831396e+03, 2.23717037e+02,\n 1.58462902e+03, 5.28779701e+01, 6.90136916e+00, 8.59330203e+00,\n -4.66414617e+02, -8.14158241e+01, 5.31851079e+02, 1.46852287e+02,\n 1.50009465e+01, -2.45639760e+00, 6.07244337e+02, 2.22245546e+02,\n 1.18159714e+03, 5.58821591e+01, 7.29460531e+00, 9.07134815e+00,\n -3.57531014e+02, -1.15831016e+02, 4.23205138e+02, 1.81505140e+02,\n 1.50012841e+01, -3.05686380e+00, 4.99999427e+02, 2.58299429e+02,\n 6.61998790e+02, 5.88845463e+01, 7.68645836e+00, 9.54607854e+00,\n -2.23528240e-04, -3.73896041e-01, 2.58749684e-05, 7.29988095e-05,\n 5.58558448e-04, -1.27271379e+01, 2.64624114e-02, 1.87724264e-04,\n 1.42169076e-04, -1.39351571e-02, -1.40812667e-02, -1.21508420e+01,\n 1.09903157e-05, 1.23415454e-04, -4.30280301e-03, -2.38771540e-03,\n -2.10307884e-01, -1.15200363e+01, 6.25430421e-06, 1.64177145e-04,\n -2.71605582e-03, -2.07568452e-03, -5.24868711e-03, -1.09253895e+01,\n 4.05405393e-06, 2.50356210e-04, -2.09453079e-03, -1.61807163e-03,\n -4.02307804e-03, -1.03250235e+01, 2.47268596e-06, 2.52500000e-04,\n -1.19357705e-03, -9.26523267e-04, -2.36521338e-03, -9.72506484e+00,\n -1.85621154e-06, 1.15812432e-04, 3.20178225e-04, -2.65533421e-02,\n 2.32363987e-02, -6.10267127e-03, 1.02231327e-01, 2.24990657e-01,\n 3.50700810e-01]), y=array([-8.54100873e-15, 1.57986412e+02, 1.57996523e+02, 3.79437159e-15,\n 1.57986330e+02, 1.57996505e+02, 4.82173505e-16, 2.50434883e+03,\n 1.35875594e+03, 1.43689597e+03, 0.00000000e+00, 3.77991956e-18,\n 1.59999944e+03, 0.00000000e+00, 1.57976161e+02, 1.57996499e+02,\n 3.75199991e+02, 1.47041806e+01, 2.31450713e+03, 9.86529224e+02,\n 0.00000000e+00, 1.87591988e+02, 1.87597688e+02, -6.94225404e-16,\n 1.87591940e+02, 1.87597675e+02, 2.21080939e+03, 2.56666969e+03,\n 3.74023402e+02, 8.98390188e+02, 5.86429325e+02, 0.00000000e+00,\n 8.50107339e+02, 2.96766387e-14, 1.87586214e+02, 1.87597669e+02,\n 4.20616091e+02, 1.06682317e-03, 2.38813523e+03, 1.17205971e+03,\n 8.02568173e-14, 2.10302311e+02, 2.10305519e+02, -2.29817259e-15,\n 2.10302277e+02, 2.10305505e+02, 3.17494956e+03, 2.56666960e+03,\n 3.31287407e+02, 8.27093872e+02, 1.13350492e+03, 3.54540530e-17,\n 1.49084034e-18, 0.00000000e+00, 2.10299000e+02, 2.10305499e+02,\n 4.82017442e+02, 1.12554185e+02, 2.36506403e+03, 1.19999945e+03,\n 4.98574028e-14, 2.41005937e+02, 2.41007438e+02, 1.49619900e-15,\n 2.41005919e+02, 2.41007430e+02, 3.43970677e+03, 2.56666977e+03,\n 4.03148538e-16, 8.93623423e+02, 1.85651767e+03, 7.20771603e-17,\n 0.00000000e+00, 0.00000000e+00, 2.41004403e+02, 2.41007425e+02,\n 5.47711189e+02, 2.06374715e+02, 1.88304691e+03, 1.17779749e+03,\n 0.00000000e+00, 2.73854590e+02, 2.73854784e+02, -2.29817259e-15,\n 2.73854583e+02, 2.73854779e+02, 3.53333124e+03, 2.56666966e+03,\n -4.05649460e-16, 7.99998936e+02, 2.63621985e+03, 0.00000000e+00,\n 2.38534454e-17, -4.61966885e-15, 2.73854388e+02, 2.73854774e+02,\n 6.24402226e+02, 2.35947383e+02, 1.33533633e+03, 9.37148343e+02,\n 1.63546245e-14, 3.12200744e+02, 3.12200727e+02, -3.68662340e-15,\n 3.12200740e+02, 3.12200723e+02, 3.53333146e+03, 2.56666964e+03,\n 1.92070768e-16, 7.99998640e+02, 3.54356785e+03, 0.00000000e+00,\n 8.17144934e-17, 0.00000000e+00, 3.12200763e+02, 3.12200718e+02,\n 7.10935945e+02, 1.71592498e+02, 7.10934835e+02, 5.50783679e+02,\n 1.71812219e-14, 3.55468635e+02, 3.55468635e+02, -5.98479599e-15,\n 3.55468637e+02, 3.55468638e+02, 3.53333157e+03, 2.56666963e+03,\n -3.98480152e-16, 7.99998458e+02, 4.56859953e+03, -1.07871280e-17,\n -1.40268656e-16, 3.55468650e+02, 0.00000000e+00, 3.55468638e+02,\n 8.09855925e+02, -2.99239800e-15, 0.00000000e+00, 0.00000000e+00,\n 6.23211737e+01, 0.00000000e+00, 1.78529582e+03, 8.54928652e+01,\n 2.13470776e+02, -7.48099499e-16, 7.49892660e+02, 4.54161004e+01,\n 1.79999893e+03, 1.18647710e+01, 2.79402890e+01, -6.53715947e-16,\n 1.60000044e+03, 6.14013507e+01, 1.68744581e+03, 3.49359703e+01,\n 1.82641479e-19, 0.00000000e+00, 1.60000023e+03, 6.56937466e+01,\n 1.59362528e+03, 5.16953087e+02, 2.22025143e+01, 0.00000000e+00,\n 1.60000034e+03, 7.66910372e+01, 1.56405262e+03, 1.06466367e+03,\n 2.62851656e+02, 0.00000000e+00, 1.60000034e+03, 8.65337190e+01,\n 1.62840750e+03, 1.68906516e+03, 6.49216320e+02, -1.62480690e-17,\n 1.60000034e+03, 9.89199800e+01, 1.99565192e+03, 4.72413589e+02,\n 3.58381279e+02, 9.36236928e+01, 0.00000000e+00, 0.00000000e+00,\n 1.30449637e-17]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 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1.03121209e-12 3.98262147e-13 7.91458414e-12 4.52624489e+00\n 1.84199716e-11 4.48000143e-01 1.35790804e+00 2.45786476e-12\n 3.92956403e-03 3.31369791e-03 9.29760862e-02 9.14347374e-02\n 4.29353718e-02 6.08562265e-02 9.49313683e-02 6.86783217e-02\n 2.21866842e-12 2.22058390e-01 8.91275719e-01 7.88507298e-12\n 3.32071784e-12 9.67115003e-12 5.61150278e-12 2.16368421e-12\n 2.43173782e-12 2.03745698e-12 2.86300000e-01 2.86300000e-01\n 4.01630000e+00 4.02130000e+00 1.31300000e-01 2.28000000e-01\n 4.18220000e+00 4.09610000e+00 3.50000000e-01 6.04377106e+00\n 1.89000000e+00 1.53694742e+01 3.25500000e+00 1.51375000e+00\n 4.58060081e-01 3.82760547e-01 1.68185398e-01 4.33476760e-13\n 1.09880040e-11 8.39666228e-02 7.76437128e-13 1.36733467e-12\n 1.49548132e-10 8.40000000e-01 1.69298134e-09 1.25155204e+00\n 1.13000000e+01 2.10804991e-13 1.37968747e-11 6.00000000e+00\n 7.74407315e+00 7.74407315e+00 7.74407315e+00 2.11523990e-11\n 4.20000000e+00 3.78000000e+00 2.94000000e+00 3.99515515e-12\n 2.66363711e+00 5.13206428e+00 3.75345000e+00 2.81234540e-11\n 1.10048839e+01 1.45000000e+01 4.17043622e+01 6.77941301e+00\n 1.02292122e+01 5.51520000e+00 2.98479430e+00 1.11668630e-10\n 3.98020864e+00 2.52000000e+00 1.69565356e-13 1.00500047e-12\n 1.39637704e-12 7.91843339e-13 2.55080957e-12 2.96768479e-12\n 2.99352195e-12 4.28394241e-01 5.07332270e-02 2.82615348e-01\n 4.73447118e-02 5.57953013e-01 9.04772665e-02 7.21392807e-02\n 2.93680510e-02 8.08912008e-02 6.04531854e-02 2.39808048e-02\n 2.52152020e-01 7.48911476e-12 6.73685750e-12 8.39295813e-01\n 4.18897299e-01 2.60104749e-02 7.46512377e-02 5.07726356e-02\n 3.78000000e+00 3.57757578e-13 1.60914981e-13 3.73217180e-13]"", ""info"": {""exitFlag"": 0, ""pcost"": -18416.759028342516, ""dcost"": -18416.759028357905, ""pres"": 5.2839958046857246e-14, ""dres"": 2.1124266986827462e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.2393980316476214, ""gap"": 2.4980632512528237e-06, ""relgap"": 1.3564076325310134e-10, ""r0"": 1e-08, ""iter"": 17, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.004483083, ""tsetup"": 0.000396708, ""tsolve"": 0.004086375}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3001,cvxpy_osqp,unknown,NETLIB,scfxm1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:27,0.15664386749267578,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3002,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,scfxm1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:29,0.894362211227417,OPTIMAL,18416.759032585374,18416.759029799643,2.78573133982718e-06,2.7744907616046528e-08,7.962078894126793e-13,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 18416.759029799643, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +3003,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,scfxm1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:29,0.04055190086364746,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3004,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scfxm1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:30,0.020607948303222656,OPTIMAL,0.0,18416.75902834894,-18416.75902834894,4.097818851087059,2.2938311214524865e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 18416.75902834894, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3005,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scfxm1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:30,0.008108139038085938,OPTIMAL,18416.759028348944,18416.75902834894,3.637978807091713e-12,2.2855041056221405e-15,6.007634519192053e-18,315,"{""solver_solve_time"": 0.004349499940872192, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 18416.75902834894, ""solver_stats"": {""solve_time"": 0.004349499940872192, ""num_iters"": 315, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3006,scipy_linprog,scipy-1.15.3,NETLIB,scfxm2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:31,0.01854729652404785,OPTIMAL,36660.26156499881,,,0.0,,869,"{""solver_solve_time"": 0.01854729652404785, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. 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7.21500000e+02\n 1.62670000e+03 6.92000000e+02]"", ""s"": ""[2.70082030e-11 3.87370000e+00 1.50902678e-11 ... 6.58019925e-13\n 3.21334518e-13 6.89757290e-13]"", ""info"": {""exitFlag"": 0, ""pcost"": -36660.26156497256, ""dcost"": -36660.26156502782, ""pres"": 9.824241128182723e-14, ""dres"": 3.7375759075281277e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.2426126260112491, ""gap"": 8.99047999674799e-06, ""relgap"": 2.4523774825813137e-10, ""r0"": 1e-08, ""iter"": 18, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.009545958, ""tsetup"": 0.000687833, ""tsolve"": 0.008858125}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3010,cvxpy_osqp,unknown,NETLIB,scfxm2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3011,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,scfxm2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:38,1.8859059810638428,OPTIMAL,36660.261566099056,36660.26156510743,9.916257113218307e-07,3.936123075536874e-09,7.763191929084328e-14,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 36660.26156510743, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +3012,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,scfxm2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:38,0.08319401741027832,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3013,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scfxm2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:39,0.04290318489074707,OPTIMAL,0.0,36660.261564998815,-36660.261564998815,4.088339113985454,1.3959042329684425e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 36660.261564998815, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3014,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scfxm2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:40,0.01711416244506836,OPTIMAL,36660.261564998815,36660.261564998815,0.0,1.98189114390341e-15,5.53516936678016e-18,724,"{""solver_solve_time"": 0.011523790657520294, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 36660.261564998815, ""solver_stats"": {""solve_time"": 0.011523790657520294, ""num_iters"": 724, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3015,scipy_linprog,scipy-1.15.3,NETLIB,scfxm3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:40,0.033345937728881836,OPTIMAL,54901.25454975146,,,0.0,,1270,"{""solver_solve_time"": 0.033345937728881836, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. 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1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:41,0.028705120086669922,OPTIMAL,54901.25455210168,54901.25454294054,9.161136404145509e-06,3.0918900674378116e-09,1.479574782312616e-12,19,"{""solver_solve_time"": 0.019031872, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 54901.25454294054, ""solver_stats"": {""solve_time"": 0.019031872, ""num_iters"": 19, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3017,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,scfxm3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 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-3.75345000e+00 -6.87250124e-11 -1.06774316e+01 -1.45000000e+01\n -4.17000490e+01 -6.77941301e+00 -1.02292122e+01 -5.51520000e+00\n -2.98479430e+00 -2.90374574e-10 -3.98020864e+00 -2.52000000e+00\n 2.92820481e-12 6.67746881e-13 -1.68740634e-13 1.31193856e-12\n -3.14978432e-12 -4.25325529e-12 -4.24306303e-12 -4.26127602e-01\n -4.97883861e-02 -2.79517066e-01 -4.61582299e-02 -5.53393799e-01\n -8.99819121e-02 -7.13275866e-02 -2.89892172e-02 -8.09063414e-02\n -5.98460467e-02 -2.35859330e-02 -2.52152020e-01 -1.94048602e-11\n -1.69200628e-11 -8.25122131e-01 -4.09195982e-01 -2.60547462e-02\n -7.43372721e-02 -5.07130514e-02 -3.78000000e+00 2.45892001e-12\n 2.82418389e-12 2.41788243e-12]"", ""y"": ""[]"", ""z"": ""[1.57372610e+01 1.74667023e-10 3.03043307e+01 ... 7.21500000e+02\n 1.62670000e+03 6.92000000e+02]"", ""s"": ""[3.97442303e-11 3.87370000e+00 2.20158309e-11 ... 9.60540620e-13\n 4.68256270e-13 1.00651293e-12]"", ""info"": {""exitFlag"": 0, ""pcost"": -54901.25454969123, ""dcost"": -54901.254549813086, ""pres"": 1.4507721678425723e-13, ""dres"": 5.473889512506659e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.2437353916446565, ""gap"": 1.9810858854688935e-05, ""relgap"": 3.608452851793776e-10, ""r0"": 1e-08, ""iter"": 18, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.014696791, ""tsetup"": 0.000867041, ""tsolve"": 0.01382975}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3019,cvxpy_osqp,unknown,NETLIB,scfxm3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:46,0.5274169445037842,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3020,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,scfxm3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:50,3.014312982559204,OPTIMAL,54901.25455217503,54901.25454984975,2.325279638171196e-06,7.521049283975522e-09,1.2274350917260578e-13,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 54901.25454984975, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +3021,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,scfxm3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:51,0.12270689010620117,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3022,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scfxm3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:51,0.06835794448852539,OPTIMAL,0.0,54901.254549751466,-54901.254549751466,4.070007635897068,2.51964071117211e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 54901.254549751466, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3023,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scfxm3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:52,0.03169727325439453,OPTIMAL,54901.25454975146,54901.25454975145,7.275957614183426e-12,1.766890994141972e-15,5.5546089241638074e-18,1047,"{""solver_solve_time"": 0.021042291074991226, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 54901.25454975145, ""solver_stats"": {""solve_time"": 0.021042291074991226, ""num_iters"": 1047, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3024,scipy_linprog,scipy-1.15.3,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:53,0.003998994827270508,OPTIMAL,1878.1248227381066,,,0.0,,89,"{""solver_solve_time"": 0.003998994827270508, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1878.1248227381066, ""scipy_nit"": 89, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3025,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:53,0.0052661895751953125,OPTIMAL,1878.1248220102716,1878.124819471118,2.5391536837560125e-06,3.956517621935994e-09,2.469224322462743e-14,12,"{""solver_solve_time"": 0.00262429, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1878.124819471118, ""solver_stats"": {""solve_time"": 0.00262429, ""num_iters"": 12, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3026,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 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2.45000000e-01 5.50000000e-01 5.00000000e-01\n 1.50000000e-01 2.25141626e-03 2.68686869e-01 6.77913160e-02\n 6.92754162e-01 7.63679034e-01 7.17701882e-12 6.94648192e-12\n 7.22659146e-12 8.43143134e-10 2.54332605e+00 5.03976952e-12\n 4.77461623e-12 7.41224424e-12 5.38772746e-12 7.96417540e-12\n 2.04493851e-11 3.11987032e-10 1.62318285e-10 3.12015505e-10\n 3.58608974e-02 8.36754272e-01 4.18377136e-01 1.09973419e+00\n 4.69052286e-12 4.75930890e-12 4.68696306e-12 4.84790619e-12\n 5.97177241e-01 3.51645115e-01 1.50911830e-01 1.31916453e-01\n 6.73615928e-02 1.82437647e-01 1.79630914e-01 4.68277227e-12\n 3.96655689e-02 4.67835133e-12 2.90880839e-01 1.02886737e-11\n 1.51734513e-11 2.80000000e-01 1.00900000e+00 8.80000000e-01\n 1.20000000e-01 2.89000000e-01 6.00000000e-01 6.80000000e-01\n 1.51354713e-11 2.00000000e-01 8.00000000e-02 1.42888059e-01\n 1.20000000e-01 2.89000000e-01 6.00000000e-01 6.80000000e-01\n 2.00000000e-01 1.20373897e-02 2.79040404e-01 5.51600180e-01\n 9.36748614e-01 2.67718532e+00 1.99325046e-01 1.78414266e-11\n 3.40000000e-03 5.23989123e-12 4.39269989e-11 9.64252470e-13\n 2.05179078e-12 1.17111445e-12 1.31884053e-01 1.59324478e-12\n 3.40000000e-03 6.48797912e-12 1.33281089e-11 1.02226525e-12\n 1.91609514e-12 1.21898571e-12 3.80303031e-02 6.23196388e-12\n 3.40000000e-03 4.03657622e-12 2.70793267e-11 1.12317944e-12\n 2.02801230e-12 1.34901003e-12 1.38097633e-11 5.50484298e-12\n 5.31736443e-12 8.21960227e-12 2.87430439e-11 1.11811913e-12\n 1.93140431e-12 1.15184165e-12 2.31490208e-11 9.32138547e-12\n 5.62551599e-12 8.52333449e-12 3.09470033e-11 1.24678309e-12\n 2.07719230e-12 1.28581025e-12 7.13814452e-11 3.03392634e-11\n 1.62706160e-11 2.51524544e-11 1.25079008e-10 2.11700756e-12\n 2.40875717e-12 2.16931380e-12 3.28948038e-12 1.65583084e-12\n 1.62520002e-12 1.64042516e-12 2.34799029e-02 5.24879154e-13\n 4.74458893e-13 5.03876137e-13 3.42017396e-12 3.78728198e-02\n 3.36349800e-12 1.73761251e-12 1.70422183e-12 1.71966168e-12\n 2.91001494e-02 5.44667676e-13 4.92720730e-13 5.18134329e-13\n 3.47417121e-12 1.19391490e-02 3.43209221e-12 1.81908507e-12\n 1.75470923e-12 1.76367286e-12 3.09514085e-02 6.89316509e-13\n 6.25573638e-13 6.59849895e-13 2.33426074e-12 8.69317096e-12\n 2.49537528e-12 1.31739986e-12 1.27618224e-12 1.27988830e-12\n 4.52247172e-02 8.55006111e-13 7.62550960e-13 8.06775817e-13\n 7.84957259e-13 9.09181563e-13 2.94931420e-12 1.56971673e-12\n 1.50165440e-12 1.51046000e-12 5.77388797e-02 9.73598499e-13\n 8.95212764e-13 9.21393413e-13 8.91258499e-13 1.04773670e-12\n 1.02619903e-11 1.51191534e-11 5.15538556e-12 5.21521748e-12\n 7.28880591e-02 3.44648291e-12 3.01031596e-12 3.13172204e-12\n 2.91420350e-12 3.32357572e-12]"", ""s"": ""[2.03297895e-08 9.94759940e-08 1.56728251e+01 2.65164014e-01\n 1.51176343e-10 3.56948344e+01 5.25347679e-06 4.36644935e-08\n 2.01504742e-07 3.61425347e-08 8.85974242e+00 6.65391467e-01\n 1.16778629e+00 6.65397863e-01 9.46719060e-09 4.47023392e-10\n 8.68321057e-10 3.43923331e-10 3.72201835e+01 3.67257179e+01\n 3.73019958e+01 3.63554607e+01 5.10047024e-10 6.95321216e+01\n 7.81925245e-10 2.25753041e-09 4.36618263e-09 1.64307561e-09\n 1.66826918e-09 3.73199421e+01 3.92341228e+01 3.71734937e+01\n 5.99808015e+01 5.93837361e+01 1.45570888e-09 9.57955655e-10\n 3.27850134e-10 5.54503624e-10 2.69977514e-09 1.60385566e-09\n 4.79549456e-10 7.68290087e-10 1.45570292e-09 1.26490475e-09\n 3.72803205e-09 2.95465956e-09 2.69966312e-09 1.60380698e-09\n 4.79545081e-10 7.68293859e-10 1.91808150e-09 2.82355115e-08\n 1.43438680e+01 5.12211675e+01 5.34554949e-10 8.85267852e-09\n 2.48022931e-08 3.02085438e-08 1.80221958e+01 2.53095546e-01\n 1.33093777e-10 3.55145345e+01 3.66370003e-06 3.55997623e-08\n 1.52595177e-07 2.96274359e-08 1.07565872e+01 7.77838085e-01\n 1.45493049e+00 7.77891104e-01 8.63033171e-09 4.06493857e-10\n 7.93005059e-10 3.11804280e-10 3.72662706e+01 3.65953324e+01\n 3.73519294e+01 3.62860853e+01 4.58343927e-10 6.73164964e+01\n 7.84141218e-10 2.03393019e-09 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3.74948303e+01 3.75275172e+01\n 3.62399237e+01 3.54453213e+01 4.95417325e+01 3.72385601e-09\n 7.98373607e-10 2.80933412e-10 4.61563629e-10 2.11324856e-09\n 1.30393854e-09 4.26768077e-10 5.81234242e-10 3.72384539e-09\n 1.05569470e-09 3.12322147e-09 2.34033276e-09 2.11319336e-09\n 1.30391520e-09 4.26765480e-10 5.81235440e-10 2.19560110e-09\n 2.35443019e-07 7.06010750e+00 6.48099999e+01 1.66751913e-09\n 4.07820941e-10 2.82267156e-08 2.24169521e-07 1.43401756e+01\n 1.14326448e+01 5.06915421e+01 5.22325864e+01 5.34554842e-10\n 2.48802994e-09 8.85275533e-09 8.60841820e-10 2.03803910e+01\n 6.06459307e-09 1.97684499e+01 1.08465122e+00 1.13799504e-10\n 3.65357385e+01 7.92129050e-07 1.56131790e-08 5.98063119e-08\n 1.30661463e-08 2.36468607e+01 2.84911382e+00 5.47970815e+00\n 2.84914711e+00 7.20393634e-09 3.35379015e-10 6.61624380e-10\n 2.55120793e-10 3.73381535e+01 3.70733945e+01 3.72205386e+01\n 3.68825633e+01 3.54277217e-10 2.55157898e-09 9.94553398e-10\n 1.58312675e-09 3.06372860e-09 1.15022689e-09 1.16796227e-09\n 3.72965321e+01 2.21264630e-08 3.72639224e+01 3.07597577e-09\n 7.85441626e+01 4.66521572e-09 7.23724740e-10 2.53270447e-10\n 3.71103112e-10 1.89904896e-09 1.13628649e-09 3.85198826e-10\n 4.69248407e-10 4.66516624e-09 9.51769802e-10 2.89558739e-09\n 1.97337311e-09 1.89903488e-09 1.13628091e-09 3.85198111e-10\n 4.69246769e-10 1.73187205e-09 1.39972399e-07 1.02726890e-09\n 2.27354701e-09 2.41624443e-09 1.87766422e-10 2.82260311e-08\n 2.27073609e-07 2.35441363e-07 3.73069330e+01 7.86301734e+00\n 7.05989249e+00 4.07821008e-10 2.07164240e+01 1.77831117e-08\n 2.05532540e+01 8.25096225e-01 9.41770821e-11 3.65453498e+01\n 5.68434975e-06 4.67944832e-08 2.15626678e-07 3.89899818e-08\n 2.12806661e+01 2.43258155e+00 4.39594853e+00 2.43252059e+00\n 6.04639195e-09 2.84045200e-10 5.56522711e-10 2.18766353e-10\n 3.73283897e+01 3.70930332e+01 3.72157749e+01 3.68861836e+01\n 3.00275973e-10 1.47075086e-09 1.11984454e-09 1.33102457e-09\n 2.57393913e-09 9.67467516e-10 9.82355601e-10 3.72967407e+01\n 1.27594469e-08 3.72992367e+01 1.77385005e-09 6.65614126e+01\n 4.63279830e-09 7.09347102e-10 2.17985717e-10 2.97888646e-10\n 1.72531867e-09 7.79750693e-10 3.51165876e-10 3.86617328e-10\n 4.63274686e-09 9.50903518e-10 2.68544096e-09 1.60001188e-09\n 1.72531343e-09 7.79749467e-10 3.51165547e-10 3.86616275e-10\n 1.27098552e-09 7.80181976e-08 7.00224569e-10 2.71756427e-09\n 2.87880154e-10 2.57142957e-10 2.30700764e+01 2.40706859e+01\n 2.28948990e+01 2.45906228e-01 8.06090291e-11 3.63918293e+01\n 3.64291415e+01 2.22724977e+01 3.17099491e+01 2.07172592e+01\n 8.41533494e+00 5.51198062e-01 1.02746020e+00 5.51199208e-01\n 5.29679216e-09 2.40109184e-10 4.75245929e-10 1.83403755e-10\n 3.72855165e+01 3.70420161e+01 3.72462874e+01 3.68089302e+01\n 3.29284734e-10 5.40713911e-10 1.20558950e-09 1.44710227e-09\n 2.79039425e-09 1.05433086e-09 1.07042949e-09 3.73087725e+01\n 4.65170496e-09 3.72929677e+01 6.51614840e-10 1.84511004e+01\n 1.23973447e+01 6.73344924e-10 1.94087285e-10 2.20142892e-10\n 1.54470364e-09 6.54484423e-10 3.19187065e-10 2.83099175e-10\n 1.23975101e+01 9.41738403e-10 2.31265213e-09 1.32176018e-09\n 1.54469953e-09 6.54483556e-10 3.19186833e-10 2.83099072e-10\n 9.41484312e-10 1.37359812e-08 6.61888127e-10 3.40756231e-10\n 2.04036395e-10 7.28523847e-11 9.24171608e-10 5.44200006e+01\n 5.07376304e-08 3.62823529e+01 9.82105261e+00 2.18763646e+02\n 1.00820821e+02 1.82450821e+02 1.38149053e-09 4.48299998e+01\n 5.17045921e-08 3.03882353e+01 1.43684211e+01 2.07960907e+02\n 1.02888711e+02 1.72368711e+02 4.46549280e-09 3.81099997e+01\n 8.22438204e-08 4.90117647e+01 7.12631579e+00 2.00441093e+02\n 1.04459050e+02 1.65849050e+02 1.51000000e+01 4.07499999e+01\n 3.72705882e+01 2.39647059e+01 6.48421053e+00 1.95085359e+02\n 1.03276909e+02 1.81157300e+02 8.46000000e+00 2.28499999e+01\n 3.52823529e+01 2.26823529e+01 6.13684211e+00 1.71245871e+02\n 9.72126167e+01 1.60619041e+02 2.61000000e+00 7.03999999e+00\n 1.17960784e+01 7.57647059e+00 1.53684211e+00 8.70699587e+01\n 7.49457456e+01 8.45651361e+01 5.92929294e+01 1.20946666e+02\n 1.23216666e+02 1.23216666e+02 7.97444226e-09 4.41194025e+02\n 4.93344025e+02 4.62274025e+02 5.66900000e+01 5.02405437e-09\n 5.90155809e+01 1.19936899e+02 1.21866899e+02 1.21866899e+02\n 6.39339711e-09 4.17153021e+02 4.61553021e+02 4.35103021e+02\n 4.82600000e+01 2.77248214e-08 4.96976571e+01 1.00949390e+02\n 1.02649390e+02 1.02649390e+02 6.16743025e-09 3.84046825e+02\n 4.23266825e+02 3.99906825e+02 8.82609628e+01 4.56309628e+01\n 7.84934018e+01 1.58637564e+02 1.60227564e+02 1.60227564e+02\n 4.12025583e-09 2.54581059e+02 2.91321059e+02 2.69441059e+02\n 2.79751808e+02 2.39821808e+02 6.65197954e+01 1.34271208e+02\n 1.35451208e+02 1.35451208e+02 3.23402922e-09 2.18516567e+02\n 2.45796567e+02 2.29546567e+02 2.36977086e+02 2.07327086e+02\n 1.84512810e+01 1.23975266e+01 3.74923814e+01 3.74923814e+01\n 2.57050446e-09 6.22791181e+01 6.90591181e+01 6.50191181e+01\n 6.72185224e+01 5.98485224e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": -1878.124822697994, ""dcost"": -1878.1248227242593, ""pres"": 3.608460158505947e-13, ""dres"": 1.3089518635366787e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.15083610727464994, ""gap"": 2.6127134450733516e-07, ""relgap"": 1.39112875432853e-10, ""r0"": 1e-08, ""iter"": 13, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.001722208, ""tsetup"": 0.000192625, ""tsolve"": 0.001529583}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3028,cvxpy_osqp,unknown,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:55,0.09587383270263672,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3029,cvxpy_cvxopt,unknown,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:56,0.03485989570617676,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3030,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:56,0.033132076263427734,OPTIMAL,1878.1248616924786,1878.124771069674,9.062280469152029e-05,2.185643963160554e-11,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1878.124771069674, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3031,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:57,0.014657020568847656,OPTIMAL,1844.8889537758735,1878.124822738107,-33.23586896223355,0.7283514486204262,6.17790613574247e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1878.124822738107, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3032,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:57,0.0042798519134521484,OPTIMAL,1878.124822738107,1878.124822738107,0.0,2.0748565747804833e-16,3.8343955304279964e-19,65,"{""solver_solve_time"": 0.0012742076069116592, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1878.124822738107, ""solver_stats"": {""solve_time"": 0.0012742076069116592, ""num_iters"": 65, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3033,scipy_linprog,scipy-1.15.3,NETLIB,scrs8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:58,0.011235713958740234,OPTIMAL,904.2969538007914,,,0.0,,413,"{""solver_solve_time"": 0.011235713958740234, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 904.2969538007914, ""scipy_nit"": 413, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3034,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,scrs8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:58,0.014555931091308594,OPTIMAL,904.2969585456176,904.2969552461572,3.299460445305158e-06,1.5927842147462516e-09,6.233773722461585e-16,27,"{""solver_solve_time"": 0.010183163, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 904.2969552461572, ""solver_stats"": {""solve_time"": 0.010183163, ""num_iters"": 27, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3035,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,scrs8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:03,3.8040168285369873,OPTIMAL (INACCURATE),904.4934281699245,904.98897612873,-0.4955479588054459,3.1909624261066947e-06,3.97920329471267e-10,100000,"{""solver_solve_time"": 3.798573166, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 904.98897612873, ""solver_stats"": {""solve_time"": 3.798573166, ""setup_time"": 0.000825208, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 9.35179749e+02 1.17077008e+03 1.44883358e+03 1.40518039e+03\n -4.50063363e+00 -8.23333317e+00 8.12081843e+01 -1.00695968e+03\n 2.28865756e-08 2.56846268e-03 -3.14537071e+02 1.13170198e+02\n -1.01537280e+00 3.86536002e+01 8.29080871e+01 1.23066202e+02\n 1.60547192e+02 1.95187070e+02 2.25725316e+02 2.53608093e+02\n 2.77507616e+02 2.98751640e+02 4.48975340e+02 9.83938680e+02\n 1.21767547e+03 1.13914128e+03 -1.05151871e-07 -1.27199168e+00\n 1.99561244e+02 -6.17828069e+02 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1.11264544e+00 1.41689101e-02]"", ""y"": ""[]"", ""z"": ""[1.52006169e-13 3.20801069e-12 3.22360643e-12 ... 3.56635279e-09\n 8.67463566e-11 6.11518380e-09]"", ""s"": ""[6.34942625e+02 3.01914143e+01 3.00890789e+01 ... 2.54909201e-02\n 1.11264544e+00 1.41689101e-02]"", ""info"": {""exitFlag"": 0, ""pcost"": -904.2969538453584, ""dcost"": -904.2969539444803, ""pres"": 9.424643566098932e-14, ""dres"": 1.1561664624786184e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.5646115589189149, ""gap"": 6.775256250513288e-07, ""relgap"": 7.492291355956406e-10, ""r0"": 1e-08, ""iter"": 29, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.008261625, ""tsetup"": 0.0003905, ""tsolve"": 0.007871125}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3037,cvxpy_osqp,unknown,NETLIB,scrs8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3038,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,scrs8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:07,2.016935110092163,OPTIMAL,904.2969667636619,904.2969550841672,1.1679494718919159e-05,2.855906381704951e-08,5.3742137461497205e-17,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": 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{""cvxpy_status"": ""optimal"", ""cvxpy_value"": 904.2969538007912, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3041,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scrs8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:09,0.010409116744995117,OPTIMAL,904.2969538007915,904.2969538007915,0.0,3.158798106347861e-16,2.8788994704906242e-21,242,"{""solver_solve_time"": 0.005467085167765617, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 904.2969538007915, ""solver_stats"": {""solve_time"": 0.005467085167765617, ""num_iters"": 242, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3042,scipy_linprog,scipy-1.15.3,NETLIB,scsd1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:09,0.0038919448852539062,OPTIMAL,8.666666674333365,,,0.0,,99,"{""solver_solve_time"": 0.0038919448852539062, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 8.666666674333365, ""scipy_nit"": 99, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3043,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,scsd1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:10,0.004500865936279297,OPTIMAL,8.666666676628388,8.666666674175268,2.4531203735023155e-09,1.2506944227602697e-15,0.0,11,"{""solver_solve_time"": 0.001988543, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 8.666666674175268, ""solver_stats"": {""solve_time"": 0.001988543, ""num_iters"": 11, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3044,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,scsd1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:10,0.0076329708099365234,OPTIMAL,8.66668599217274,8.666677883523896,8.1086488439297e-06,6.50635401919009e-06,6.975095208907728e-09,250,"{""solver_solve_time"": 0.004643875, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 8.666677883523896, ""solver_stats"": {""solve_time"": 0.004643875, ""setup_time"": 0.0005521660000000001, ""num_iters"": 250, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 2.3071307 -5.60894059 2.24490582 -6.12267508 2.00589319 -8.66667788\n 1.76786573 -6.1349751 1.70570184 -5.63367017 1.89099806 -5.64471995\n 1.69629992 -6.50125175 2.00024328 -7.66667316 2.30419451 -6.51288677\n 2.10947916 -5.66947309 1.61850061 -4.76560207 0.99424692 -5.66085955\n 1.99423115 -6.66667234 2.99423695 -5.67251329 2.36918425 -4.79197693\n 1.04352381 -3.78548073 1.94825508 -4.6608562 1.98169586 -5.95713651\n 2.02227075 -4.6725116 2.94094872 -3.79781159 0.20316007 -2.85890068\n 0.98252093 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7.58748214e-02 3.94981299e-12 3.80361029e-12\n 2.24748625e-12 2.50981197e-12 2.29500296e-12 1.43770674e-12\n 7.60262774e-12 4.11439227e-12 4.09236951e-12 2.01292931e-12\n 2.32734785e-12 2.60930187e-12 2.13379835e-12 1.22546951e-11\n 2.76701653e-12 1.18178790e-11 2.13390222e-12 1.22526850e-11\n 2.32751930e-12 2.60914476e-12 9.18429305e-12 3.77017608e-12\n 2.29480911e-12 1.43775678e-12 2.24731956e-12 2.50992029e-12\n 3.94949893e-12 3.80382613e-12 2.77395537e-12 7.58749184e-02\n 2.52284662e-12 8.17047861e-12 2.13109492e-12 1.01003060e-12\n 2.14547508e-12 1.43830060e-12 4.42210514e-12 1.72589463e-12\n 5.06373620e-12 2.49084154e-12 2.82778606e-12 4.00479409e-11\n 1.69714898e-11 2.27147574e-12 8.90535210e-12 1.74690515e-12\n 2.03548397e-11 1.36298476e-12 4.07554309e-12 9.23975225e-13\n 2.74411764e-12 1.11168459e-10 1.08694376e-11 2.35090700e-12\n 1.01135431e-11 1.52592483e-12 3.08219078e-12 1.27292102e-12\n 1.88235603e-12 1.09161534e-12 1.40811962e-12 4.51890918e-11\n 2.82647967e-12 2.07799165e-12 3.30905557e-12 1.41072834e-12\n 2.31242437e-12 1.19322226e-12 1.59005968e-12 1.06785239e-12\n 9.33239025e-13 3.76161457e-11 1.56559598e-12 1.88896775e-12\n 1.87374682e-12 1.29074328e-12 1.79725555e-12 1.07225511e-12\n 1.28076596e-12 1.03818425e-12 1.30743506e-02 4.57556336e-12\n 8.13329397e-03 2.35219099e-12 2.03587204e-11 1.36297264e-12\n 2.09345937e-12 2.17139991e-11 2.97853554e-12 2.26198678e-11\n 5.60696973e-12 3.77379483e-12 2.29393118e-12 2.57543668e-12\n 1.49041796e-12 1.84985658e-12 1.25186938e-12 1.12556463e-10\n 1.76309459e-12 5.50119256e-12 1.96312694e-12 2.98658206e-12\n 1.53269572e-12 2.26882789e-12 1.13458479e-12 1.89212848e-12\n 8.77208638e-13 5.27046275e-01 1.23252275e-12 3.49875428e-12\n 1.33030256e-12 2.42683793e-12 1.23700023e-12 1.90936182e-12\n 9.23497243e-13 1.90038508e-12 1.30743506e-02 4.57556798e-12\n 8.90694657e-12 1.74688071e-12 1.72433445e-12 3.79252331e-12\n 2.29245801e-12 1.15791469e-11 2.94162534e-12 3.51701434e-11\n 2.29245783e-12 1.15793970e-11 1.72433269e-12 3.79252393e-12\n 1.19000637e-12 4.66348533e-12 1.50714571e-12 6.67100164e-12\n 1.69146130e-12 7.94647937e-12 1.50716222e-12 6.67064460e-12\n 1.19002546e-12 4.66321594e-12 8.75254896e-13 6.10598181e-12\n 1.14168611e-12 3.95597800e-12 1.19895752e-12 4.65491982e-12\n 1.14170114e-12 3.95572322e-12 8.75268245e-13 6.10539936e-12\n 1.69748342e-11 2.27139910e-12 1.49040987e-12 1.84986565e-12\n 2.29393462e-12 2.57544495e-12 5.60691881e-12 3.77383261e-12\n 2.97852268e-12 2.26204753e-11 2.09343400e-12 2.17208451e-11\n 1.13454367e-12 1.89218967e-12 1.53263633e-12 2.26889489e-12\n 1.96308540e-12 2.98664892e-12 1.76307477e-12 5.50136931e-12\n 1.25186836e-12 1.12568535e-10 9.23463338e-13 1.90046751e-12\n 1.23694803e-12 1.90944788e-12 1.33026688e-12 2.42694275e-12\n 1.23251222e-12 3.49884048e-12 8.77209090e-13 5.27046275e-01\n 1.88241114e-12 1.09160842e-12 3.08237837e-12 1.27290465e-12\n 1.01157104e-11 1.52590222e-12 1.08717007e-11 2.35082327e-12\n 2.74410612e-12 1.11193806e-10 1.59003145e-12 1.06786455e-12\n 2.31240230e-12 1.19323049e-12 3.30911424e-12 1.41072422e-12\n 2.82648122e-12 2.07799380e-12 1.40811255e-12 4.51995536e-11\n 1.28072811e-12 1.03820598e-12 1.79718717e-12 1.07227960e-12\n 1.87369854e-12 1.29077048e-12 1.56557875e-12 1.88899768e-12\n 9.33235779e-13 3.76243898e-11 7.87276391e-12 4.23549337e-12\n 3.37722280e-12 2.31650200e-12 2.17273947e-12 1.61064563e-12\n 1.59919884e-12 1.22607461e-12 2.79884689e-12 7.69738320e-11\n 6.93214387e-12 2.60155185e-12 4.39834898e-12 1.74058456e-12\n 2.47908938e-12 1.38362117e-12 1.71483339e-12 1.11873737e-12\n 1.37987730e-12 5.73112489e-11 2.63722576e-12 2.19899372e-12\n 2.83410892e-12 1.48668727e-12 2.31078698e-12 1.16110987e-12\n 1.56106992e-12 1.03734974e-12 6.23709466e-12 4.76604159e-12\n 3.13941738e-12 2.42804266e-12 2.17277886e-12 1.61063086e-12\n 2.33130761e-12 8.41465879e-12 4.18713795e-12 7.11247064e-12\n 4.61246011e-12 3.23344203e-12 2.77919058e-12 2.17343011e-12\n 1.94539234e-12 1.58091990e-12 1.27577076e-12 1.43266633e-11\n 2.02736239e-12 4.06371244e-12 2.28083127e-12 2.55874736e-12\n 2.08844627e-12 1.81459183e-12 1.46241632e-12 1.58334004e-12\n 6.23694610e-12 4.76609866e-12 3.37727021e-12 2.31648448e-12\n 2.07810233e-12 2.85437703e-12 2.90766666e-12 5.31052411e-12\n 3.76210973e-12 1.09767898e-11 2.90778032e-12 5.31016948e-12\n 2.07820438e-12 2.85423140e-12 1.31325851e-12 3.56079602e-12\n 1.80755212e-12 3.83006831e-12 1.91893391e-12 5.61775884e-12\n 1.80760841e-12 3.82975114e-12 1.31330421e-12 3.56049609e-12\n 7.87337163e-12 4.23539903e-12 1.94526401e-12 1.58097890e-12\n 2.77899680e-12 2.17351909e-12 4.61219449e-12 3.23356069e-12\n 4.18705467e-12 7.11268938e-12 2.33138655e-12 8.41396493e-12\n 1.46232665e-12 1.58342366e-12 2.08828288e-12 1.81470463e-12\n 2.28070875e-12 2.55891542e-12 2.02734099e-12 4.06380013e-12\n 1.27578770e-12 1.43251714e-11 1.71475233e-12 1.11875801e-12\n 2.47898172e-12 1.38364191e-12 4.39828153e-12 1.74059292e-12\n 6.93177925e-12 2.60160071e-12 2.79882973e-12 7.69919271e-11\n 1.56097501e-12 1.03737820e-12 2.31059411e-12 1.16114694e-12\n 2.83390480e-12 1.48673979e-12 2.63713316e-12 2.19906446e-12\n 1.37987270e-12 5.73235851e-11 1.88486058e-11 3.20989463e-12\n 6.47910297e-12 1.85487910e-12 3.78413725e-12 1.31944009e-12\n 2.84800626e-12 9.80158153e-13 2.68051422e-12 2.46798303e-10\n 1.66765990e-11 2.16782019e-12 1.59482343e-11 1.39835847e-12\n 7.95144189e-12 1.05232709e-12 3.32736586e-12 8.66223639e-13\n 9.89192636e-12 4.11245677e-12 4.89508692e-12 2.08972204e-12\n 3.78427013e-12 1.31942841e-12 2.28791595e-12 1.01531746e-11\n 3.78047048e-12 9.22634763e-12 4.62266102e-12 3.21056638e-12\n 4.06516999e-12 1.76673071e-12 2.66975755e-12 1.29329910e-12\n 9.89306222e-12 4.11232646e-12 6.48011448e-12 1.85482913e-12\n 2.53217070e-12 2.27134424e-12 3.67130993e-12 3.87567406e-12\n 3.71023428e-12 1.19088218e-11 3.67162621e-12 3.87532863e-12\n 2.53236474e-12 2.27121985e-12 1.88542525e-11 3.20982672e-12\n 2.66956853e-12 1.29332947e-12 4.06474954e-12 1.76679084e-12\n 4.62229290e-12 3.21073424e-12 3.78046238e-12 9.22639580e-12\n 2.28798013e-12 1.01520684e-11 3.32710959e-12 8.66232047e-13\n 7.95030069e-12 1.05234058e-12 1.59445678e-11 1.39837966e-12\n 1.66743978e-11 2.16785547e-12 2.68051198e-12 2.46833242e-10\n 8.28987752e-02 2.74299897e-12 3.36160695e-02 1.42749551e-12\n 2.44685711e-02 9.75807378e-13 2.56832525e-02 7.33396312e-13\n 3.53781702e-02 2.89881445e-12 2.30520334e-02 1.47461810e-12\n 2.44685717e-02 9.75807662e-13 3.53781798e-02 2.89881089e-12\n 3.36160599e-02 1.42749517e-12 8.28987842e-02 2.74300046e-12]"", ""s"": ""[1.09672898e+00 9.03271025e-01 2.44903165e+00 1.55096835e+00\n 3.80135609e+00 2.19864391e+00 4.89809306e+00 3.10190694e+00\n 1.09425935e+00 9.05740646e-01 1.19214017e+00 1.63628695e+00\n 1.55329232e+00 2.91884364e+00 2.78920088e+00 3.53535444e+00\n 4.29823163e+00 3.94797963e+00 2.64208551e+00 1.35791449e+00\n 2.50413135e+00 1.96800461e+00 2.13844630e+00 3.51840794e+00\n 2.91147467e+00 4.29962789e+00 4.40161989e+00 4.54265201e+00\n 1.35230267e+00 6.47697328e-01 2.70462712e+00 1.29537288e+00\n 3.80136409e+00 2.19863591e+00 1.74367154e+00 1.08475558e+00\n 8.12025152e-01 1.18797485e+00 6.67201378e-01 2.16122574e+00\n 2.07272095e+00 2.39941501e+00 3.57052544e+00 2.75402988e+00\n 3.18195990e+00 1.29017606e+00 2.59125466e+00 1.40874534e+00\n 2.02802957e+00 2.44410639e+00 2.78851613e+00 2.86833811e+00\n 4.11212339e+00 3.09897917e+00 1.35232444e+00 6.47675555e-01\n 2.44906141e+00 1.55093859e+00 3.54858296e+00 9.23552998e-01\n 2.67273633e+00 1.55690794e-01 2.00000000e+00 1.29778612e-11\n 2.67274009e+00 1.55687026e-01 3.54860055e+00 9.23535407e-01\n 5.10387879e+00 5.52975448e-01 4.47213596e+00 9.45348598e-12\n 4.00000000e+00 2.61230504e-11 4.47213596e+00 9.45344601e-12\n 5.10388577e+00 5.52968471e-01 1.09673697e+00 9.03263031e-01\n 3.57052780e+00 2.75402752e+00 2.07273298e+00 2.39940298e+00\n 6.67204784e-01 2.16122234e+00 8.12019175e-01 1.18798083e+00\n 1.74367085e+00 1.08475627e+00 4.11213314e+00 3.09896942e+00\n 2.78853073e+00 2.86832351e+00 2.02803830e+00 2.44409766e+00\n 2.59125354e+00 1.40874646e+00 3.18195433e+00 1.29018163e+00\n 4.29824015e+00 3.94797111e+00 2.78921790e+00 3.53533742e+00\n 1.55330041e+00 2.91883555e+00 1.19214367e+00 1.63628345e+00\n 1.09425411e+00 9.05745894e-01 4.40163408e+00 4.54263782e+00\n 2.91149402e+00 4.29960854e+00 2.13846043e+00 3.51839381e+00\n 2.50413592e+00 1.96800004e+00 2.64207743e+00 1.35792257e+00\n 1.14885126e+00 8.51148742e-01 1.70790864e+00 2.29209136e+00\n 2.26696037e+00 3.73303963e+00 3.41581885e+00 4.58418115e+00\n 1.54782616e+00 4.52173844e-01 1.54773618e+00 1.28069094e+00\n 1.29545713e+00 3.17667883e+00 1.77233992e+00 4.55221540e+00\n 3.14902735e+00 5.09718391e+00 5.59057382e-01 1.44094262e+00\n 1.11810911e+00 2.88189089e+00 2.26696759e+00 3.73303241e+00\n 2.43114247e+00 3.97284654e-01 1.77922951e+00 2.20770491e-01\n 9.46306128e-01 1.88212099e+00 1.29572468e+00 3.17641128e+00\n 2.52240127e+00 3.80215405e+00 5.59051732e-01 1.44094827e+00\n 1.70791021e+00 2.29208979e+00 2.84833367e+00 1.62380229e+00\n 2.12132595e+00 7.07101174e-01 2.00000000e+00 1.32841189e-11\n 2.12131475e+00 7.07112370e-01 2.84832758e+00 1.62380838e+00\n 1.14885848e+00 8.51141522e-01 2.52240418e+00 3.80215114e+00\n 1.29573596e+00 3.17640000e+00 9.46316761e-01 1.88211036e+00\n 1.77923436e+00 2.20765637e-01 2.43114568e+00 3.97281445e-01\n 3.14903479e+00 5.09717647e+00 1.77235500e+00 4.55220032e+00\n 1.29547067e+00 3.17666529e+00 1.54774528e+00 1.28068184e+00\n 1.54782332e+00 4.52176677e-01 1.15107723e+00 8.48922775e-01\n 1.15107723e+00 2.84892277e+00 1.15107723e+00 4.84892277e+00\n 2.30216262e+00 5.69783738e+00 1.78375051e+00 2.16249491e-01\n 1.05769609e+00 1.77073103e+00 9.89630961e-01 3.48250500e+00\n 1.94526457e+00 4.37929075e+00 2.51568434e+00 5.73052692e+00\n 3.70684483e+00 2.93155168e-01 3.13822412e+00 1.33391184e+00\n 2.14141976e+00 3.51543448e+00 2.58474676e+00 4.62635580e+00\n 3.03027343e+00 5.91399847e+00 4.38945241e-10 2.00000000e+00\n 8.77898090e-10 4.00000000e+00 1.15108540e+00 4.84891460e+00\n 2.72005518e+00 1.08371935e-01 2.00000000e+00 4.38448161e-11\n 6.91282498e-01 2.13714462e+00 1.42068801e+00 3.05144795e+00\n 1.84643112e+00 4.47812420e+00 4.44125015e+00 3.08858055e-02\n 4.00000000e+00 8.70698639e-11 2.63341281e+00 1.83872315e+00\n 2.82842712e+00 2.82842712e+00 2.96704494e+00 4.24405762e+00\n 4.38995846e-10 2.00000000e+00 1.15108540e+00 2.84891460e+00\n 2.61299303e+00 1.85914293e+00 2.53736196e+00 2.91065164e-01\n 1.97761714e+00 2.23828566e-02 2.53736605e+00 2.91061074e-01\n 2.61299528e+00 1.85914068e+00 4.35379437e+00 1.30305987e+00\n 4.47213596e+00 2.72853963e-11 3.94424504e+00 5.57549574e-02\n 4.47213596e+00 2.72869134e-11 4.35379242e+00 1.30306182e+00\n 1.15108540e+00 8.48914603e-01 1.84642896e+00 4.47812636e+00\n 1.42068283e+00 3.05145313e+00 6.91276908e-01 2.13715021e+00\n 2.00000000e+00 4.38466067e-11 2.72005749e+00 1.08369632e-01\n 2.96704781e+00 4.24405475e+00 2.82842712e+00 2.82842712e+00\n 2.63341281e+00 1.83872315e+00 4.00000000e+00 8.70729855e-11\n 4.44124984e+00 3.08861186e-02 2.51568977e+00 5.73052149e+00\n 1.94526630e+00 4.37928902e+00 9.89630441e-01 3.48250552e+00\n 1.05769658e+00 1.77073054e+00 1.78375028e+00 2.16249716e-01\n 3.03028337e+00 5.91398853e+00 2.58475262e+00 4.62634994e+00\n 2.14142434e+00 3.51542990e+00 3.13822626e+00 1.33390970e+00\n 3.70684519e+00 2.93154807e-01 4.07719360e-01 1.59228064e+00\n 9.96094999e-01 3.00390500e+00 1.58446852e+00 4.41553148e+00\n 1.99218388e+00 6.00781612e+00 1.92309432e+00 7.69056773e-02\n 1.51705740e+00 1.31136972e+00 9.32788829e-01 3.53934713e+00\n 1.30843199e+00 5.01612333e+00 1.80476886e+00 6.44144240e+00\n 5.88375639e-01 1.41162436e+00 1.17674916e+00 2.82325084e+00\n 1.58446452e+00 4.41553548e+00 1.81643241e+00 1.01199471e+00\n 2.00000000e+00 4.33713200e-11 1.08372367e+00 1.74470345e+00\n 1.42068283e+00 3.05145313e+00 1.79908408e+00 4.52547124e+00\n 5.88373518e-01 1.41162648e+00 9.96088880e-01 3.00391112e+00\n 2.04065293e+00 2.43148303e+00 2.13715021e+00 6.91276907e-01\n 1.96662790e+00 3.33721009e-02 2.13714462e+00 6.91282497e-01\n 2.04064248e+00 2.43149348e+00 4.07715363e-01 1.59228464e+00\n 1.79909348e+00 4.52546184e+00 1.42068801e+00 3.05144795e+00\n 1.08372776e+00 1.74469936e+00 2.00000000e+00 4.33725247e-11\n 1.81642637e+00 1.01200075e+00 1.80477441e+00 6.44143685e+00\n 1.30843322e+00 5.01612210e+00 9.32789769e-01 3.53934619e+00\n 1.51705762e+00 1.31136950e+00 1.92309491e+00 7.69050912e-02\n 3.83452826e-01 1.61654717e+00 3.83452826e-01 3.61654717e+00\n 3.83452827e-01 5.61654717e+00 7.66900839e-01 7.23309916e+00\n 1.96011551e+00 3.98844932e-02 4.50220545e-01 2.37820658e+00\n 3.80763106e-01 4.09137285e+00 1.37052072e+00 4.95403460e+00\n 1.94067666e+00 6.30553460e+00 3.90660057e+00 9.33994330e-02\n 2.00417747e+00 2.46795849e+00 1.50580113e+00 4.15105311e+00\n 1.90395764e+00 5.30714492e+00 2.54449900e+00 6.39977290e+00\n 5.89292306e+00 1.07076936e-01 3.72080731e+00 2.60374801e+00\n 3.04448245e+00 4.16662011e+00 2.95408702e+00 5.53119436e+00\n 3.84251444e+00 6.15748556e+00 5.20949485e-10 2.00000000e+00\n 1.04187259e-09 4.00000000e+00 3.83448013e-01 5.61655199e+00\n 2.72998350e+00 9.84436170e-02 1.75958398e+00 2.40416016e-01\n 6.06873404e-01 2.22155372e+00 1.44215741e+00 3.02997855e+00\n 1.93361399e+00 4.39094133e+00 4.41345028e+00 5.86856834e-02\n 3.02480915e+00 9.75190853e-01 2.25379006e+00 2.21834590e+00\n 2.42461109e+00 3.23224315e+00 3.01893828e+00 4.19216428e+00\n 6.32455532e+00 3.21547158e-11 4.56800127e+00 1.43199873e+00\n 3.96276485e+00 2.36179047e+00 3.80080631e+00 3.41029625e+00\n 4.71404325e+00 3.77123813e+00 5.20956110e-10 2.00000000e+00\n 3.83448013e-01 3.61655199e+00 2.70271599e+00 1.76941997e+00\n 2.50876221e+00 3.19664912e-01 1.91400342e+00 8.59965822e-02\n 2.50876404e+00 3.19663083e-01 2.70271653e+00 1.76941943e+00\n 4.41530698e+00 1.24154726e+00 3.83049082e+00 6.41645144e-01\n 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2.28943215e+00 5.38994968e-01 9.74669168e-01 7.27154209e+00\n 4.46486352e-01 5.87806897e+00 2.29397696e-01 4.24273826e+00\n 2.79833245e-01 2.54859387e+00 1.98632253e+00 1.36774724e-02\n 7.48576813e-11 2.00000000e+00 1.92151138e-10 4.00000000e+00\n 3.09479041e-10 6.00000000e+00 3.84226442e-10 8.00000000e+00\n 1.17452589e-10 2.00000000e+00 2.34742407e-10 4.00000000e+00\n 3.09478103e-10 6.00000000e+00 1.17451150e-10 2.00000000e+00\n 1.92148435e-10 4.00000000e+00 7.48563135e-11 2.00000000e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": -8.666666674091992, ""dcost"": -8.666666678186095, ""pres"": 3.0101224596313452e-15, ""dres"": 3.1148479168745997e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.6576192890317895, ""gap"": 4.126233126317331e-09, ""relgap"": 4.761038218594737e-10, ""r0"": 1e-08, ""iter"": 11, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.0014624999999999998, ""tsetup"": 0.0002705, ""tsolve"": 0.001192}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3046,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,scsd1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:12,0.007135868072509766,OPTIMAL,8.666648751760219,8.666717597485187,-6.884572496801411e-05,1.1481668981557776e-05,1.4237310216974228e-08,500,"{""solver_solve_time"": 0.004653374, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 8.666717597485187, ""solver_stats"": {""solve_time"": 0.004653374, ""num_iters"": 500, 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0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -4.98732999e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -5.20417043e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 4.77048956e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 2.19970808e-02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 5.46437895e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.19972149e-02,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.03576608e-18,\n -2.60208521e-18, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.62630326e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.02999206e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -2.16840434e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.98235651e-02, 0.00000000e+00,\n 3.96471380e-02, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -2.68235548e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 6.78743975e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 5.27035346e-01, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.98235729e-02, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -3.37210404e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -6.13109825e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n -8.67361738e-19, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -1.73472348e-18, 0.00000000e+00, 6.13109825e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -2.42408563e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.27035351e-01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -3.25260652e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -9.29703363e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -1.90819582e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -4.33680869e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.03541307e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -1.68051337e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -5.20417043e-18, -8.67361738e-19, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -5.42101086e-18,\n -4.90487860e-18, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -4.01154804e-18, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 1.10359769e-17, 0.00000000e+00, 0.00000000e+00, 2.16840434e-18,\n 5.24528123e-02, 0.00000000e+00, 2.69830249e-02, 0.00000000e+00,\n 3.32693951e-02, 0.00000000e+00, 5.39662368e-02, 0.00000000e+00,\n 6.39470755e-03, 0.00000000e+00, 1.27892276e-02, 0.00000000e+00,\n 3.32690819e-02, 0.00000000e+00, 6.39452006e-03, 0.00000000e+00,\n 2.69832120e-02, 0.00000000e+00, 5.24529373e-02, 0.00000000e+00]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-8.666717597485187, prim_res=4.7146651817930874e-05, dual_res=1.1993897805804668e-05, iter=500, rho_updates=0, rho_estimate=0.09913232585551317, setup_time=0.0003825, solve_time=0.004229583, update_time=0.0, polish_time=4.1291e-05, run_time=0.004653374))""}}, ""problem_class"": ""LP""}" +3047,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,scsd1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:12,0.09522104263305664,OPTIMAL,8.666666852127705,8.666666661933808,1.9019389618790683e-07,2.0504092875825943e-16,0.0,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 8.666666661933808, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +3048,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,scsd1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:13,0.029803991317749023,OPTIMAL,8.666666865057257,8.666666644107133,2.2095012397471692e-07,2.318412624997081e-15,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 8.666666644107133, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3049,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scsd1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:13,0.014541864395141602,OPTIMAL,8.500000005909879,8.666666674333367,-0.16666666842348832,0.0833333342117438,8.342738486416841e-12,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 8.666666674333367, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3050,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scsd1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:14,0.004907131195068359,OPTIMAL,8.666666674333365,8.666666674333364,1.7763568394002505e-15,1.2303768929472265e-16,4.716558104787949e-19,150,"{""solver_solve_time"": 0.0020482074469327927, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 8.666666674333364, ""solver_stats"": {""solve_time"": 0.0020482074469327927, ""num_iters"": 150, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3051,scipy_linprog,scipy-1.15.3,NETLIB,scsd6,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:15,0.009097099304199219,OPTIMAL,50.50000007826239,,,0.0,,267,"{""solver_solve_time"": 0.009097099304199219, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. 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2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-50.500011240233874, prim_res=3.265424764499972e-05, dual_res=1.0024741499016025e-05, iter=1800, rho_updates=0, rho_estimate=0.0954131185505792, setup_time=0.000570291, solve_time=0.029116583, update_time=0.0, polish_time=0.000131333, run_time=0.029818207000000003))""}}, ""problem_class"": ""LP""}" +3056,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,scsd6,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": 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-8. , 3.2595935 , -6. ,\n 0.59292684, -5. , 1.59292684, -7. ,\n 1.92626017, -8.33333333, 2.2595935 , -7. ,\n 3.2595935 , -5. , 0.59292684, -4. ,\n 1.59292684, -6. , 1.92626017, -7.33333333,\n 2.2595935 , -6. , 3.2595935 , -4. ,\n 0.59292684, -3. , 1.59292684, -5. ,\n 1.92626017, -6.33333333, 2.2595935 , -5. ,\n 3.2595935 , -3. , 0.59292684, -2. ,\n 1.59292684, -4. , 1.92626017, -5.33333333,\n 2.2595935 , -4. , 3.2595935 , -2. ,\n 0.59292684, -1. , 1.36619397, -3.20270363,\n 1.92626017, -4.33333333, 2.48635771, -3.20274559,\n 3.2595935 , -1. , 0.95356887, -2.46948821,\n 1.92626017, -3.33333333, 2.8987789 , -2.4693176 ,\n 3.85240119]), y=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n 0.00000000e+00, -1.47959617e-18, 0.00000000e+00], shape=(2750,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2750,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 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2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved inaccurate', status_val=2, status_polish=0, obj_val=-905.0005575158375, prim_res=0.00042873583570468554, dual_res=4.366192091113957e-05, iter=10000, rho_updates=13, rho_estimate=0.10959078342319696, setup_time=0.000959416, solve_time=0.416861333, update_time=0.0, polish_time=0.0, run_time=0.417820749))""}}, ""problem_class"": ""LP""}" +3065,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,scsd8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:25,0.8381361961364746,OPTIMAL,905.0000472550905,904.9999873659572,5.9889133353863144e-05,2.132093622936081e-15,0.0,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 904.9999873659572, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +3066,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,scsd8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:26,0.11854100227355957,OPTIMAL,905.0000081537212,904.9999958100884,1.234363276125805e-05,9.81050237643447e-13,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 904.9999958100884, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3067,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scsd8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:26,0.07158184051513672,OPTIMAL,859.9999999254643,904.9999999254644,-45.000000000000114,2.2982499551815043,1.604763341682279e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 904.9999999254644, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3068,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scsd8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:27,0.03501296043395996,OPTIMAL,904.9999999254645,904.9999999254643,2.2737367544323206e-13,7.922035696756539e-16,3.9440594699078904e-17,935,"{""solver_solve_time"": 0.02631950005888939, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 904.9999999254643, ""solver_stats"": {""solve_time"": 0.02631950005888939, ""num_iters"": 935, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3069,scipy_linprog,scipy-1.15.3,NETLIB,sctap1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:28,0.006983280181884766,OPTIMAL,1412.2499999999998,,,0.0,,378,"{""solver_solve_time"": 0.006983280181884766, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. 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1.00000000e+00 1.09165495e-09 7.42619001e-10 2.23123920e-08\n 9.99999995e-01 5.37665463e-09 2.34244485e-09 3.41326051e-08\n 2.74537731e-08 9.99999971e-01 4.12082075e-09 9.93523312e-09\n 4.27970050e-09 9.16666703e-01 8.33332946e-02 8.94136990e-09\n 9.99999998e-01 3.07877961e-09 1.53450902e-09 3.06164046e-08\n 9.99999999e-01 1.90438491e-09 1.14087343e-09 2.84736819e-08\n 9.99999998e-01 2.78810153e-09 1.39015033e-09 2.77435778e-08\n 9.99999999e-01 2.12637307e-09 1.27358594e-09 3.17788441e-08\n 9.99999999e-01 1.92475080e-09 1.15305846e-09 2.87773486e-08\n 9.99999998e-01 2.83437204e-09 1.41274576e-09 2.81878869e-08\n 9.99999997e-01 3.81740216e-09 1.89900059e-09 3.78371554e-08\n 1.00000000e+00 1.45465074e-09 1.08989617e-09 4.35207481e-08\n 9.99999999e-01 1.77984635e-09 1.33124088e-09 5.30589974e-08\n 9.99999996e-01 4.34053561e-09 2.15738371e-09 4.29588232e-08\n 9.99999998e-01 2.98976627e-09 1.78755245e-09 4.45273592e-08\n 9.86473355e-01 8.31230758e-03 5.21433934e-03 4.17236978e-01\n 2.19143839e-09 3.29101852e-09 8.83852686e-09 1.36784901e-08\n 1.57075410e-08 2.01903435e-08 2.49785808e-09 5.53242385e-09\n 1.82844011e-09 5.00000000e+00 9.84998981e-09 5.00000000e+00\n 8.83852686e-09 6.50595520e-09 3.09729230e-09 1.21865226e-08\n 2.01903435e-08 1.91039177e-08 1.19646282e-09 1.19734512e-09\n 2.51435903e-09 3.28145738e-09 6.59724321e-09 1.45503509e-08\n 5.69364884e-09 5.99926261e-09 5.70107894e-09 1.00000000e+01\n 9.99999997e+00 2.00000000e+01 1.00000000e+01 4.17016066e+00\n 1.83178056e-09 5.82983936e+00 2.32838835e-08 5.00000002e+00\n 9.74210056e-10 9.74272864e-10 9.66765727e-10 1.46647705e-09\n 6.50910900e-09 6.57128823e-09 6.51001297e+00 2.87679348e+00\n 7.19824154e+00 1.34899870e+01 1.30618510e+01 1.68631140e+01\n 2.50000000e+01 1.00000000e+01 1.54047568e-09 1.99999999e+01\n 5.82983937e+00 4.41701607e+01 1.14073055e-09 1.13931215e-09\n 1.12893252e-09 1.14962669e-09 1.89162346e-09 5.84305070e-09\n 5.20275645e+00 2.31352781e+00 8.43324381e+00 9.26253637e+00\n 1.21307685e+01 1.06880822e+01 2.09875132e+01 2.30773837e+01\n 4.27265172e-09 1.64648857e+01 1.50000000e+01 8.00000001e+01\n 1.37915131e-09 1.37558244e-09 1.36379309e-09 1.38439440e-09\n 1.40372185e-09 1.81992514e-09 3.67227402e+00 1.95890815e+00\n 5.98621765e+00 6.54365757e+00 9.97537464e+00 1.15081367e+01\n 1.63583433e+01 3.00239061e+01 5.29619594e+00 3.91095407e+00\n 2.00000000e+01 6.99858899e+01 1.74112228e-09 1.73503350e-09\n 1.72509622e-09 1.74801824e-09 1.77421957e-09 1.76053906e-09\n 2.77982353e+00 1.84575343e+00 2.32637263e+00 4.52602384e+00\n 7.49006506e+00 1.25600941e+01 1.17706224e+01 2.86905201e+01\n 2.16979891e+00 2.23008085e+00 2.23799551e+01 7.16308285e+01\n 2.36078112e-09 2.35723966e-09 2.35165387e-09 2.35347884e-09\n 2.42952232e-09 2.33542428e-09 2.01343763e+00 1.10272096e+00\n 1.16905439e-07 2.94356600e+00 2.54154163e+00 1.04818663e+01\n 3.02943416e+00 2.64759101e+01 8.36318311e-01 1.83973157e+00\n 2.25881472e+01 6.47154256e+01 3.38472861e-09 3.68616221e-09\n 3.60807335e-09 3.58605635e-09 3.83627242e-09 3.59529589e-09\n 1.71341492e-07 3.96008286e-08 4.72527413e-08 6.43931642e-08\n 3.49052514e-08 3.83563089e+00 2.95179069e+00 1.64999649e+01\n 3.85133144e-08 1.05434762e+00 1.32688628e+01 5.43901304e+01\n 5.87168346e-09 6.08388563e-09 5.37286631e-09 5.08015755e-09\n 7.88315401e-09 7.70801968e-09 8.63140822e-08 4.90635007e-08\n 6.46291979e-08 4.25128650e-08 4.39745773e-08 4.89820215e-08\n 6.96877769e-08 8.76173302e-08 1.98507435e-08 9.75832536e-08\n 7.26303452e+00 3.67777247e+01 1.38518633e-08 1.74572461e-08\n 1.13023339e-08 1.06607037e-08 1.21473475e-08 1.04792733e-08\n 4.80913091e-08 3.64716742e-08 3.77587853e-08 4.54450192e-08\n 3.59800127e-08 3.68813658e-08 6.36844524e-08 7.45460356e-08\n 1.20237186e-07 7.65081380e-08 8.71972180e-08 5.95209870e-08]"", ""s"": ""[6.47128812e-09 9.79535080e+00 2.62524934e+01 2.31189344e+00\n 6.48195920e-09 7.31244106e+00 4.29240217e+01 4.87844178e+00\n 6.46895006e-09 1.02946124e+01 2.72191052e+01 2.35543732e+00\n 9.67970312e-09 1.93459861e-08 2.71563797e+01 3.87948281e+00\n 6.48711760e-09 5.44094211e+00 3.62246165e+01 4.24221228e+00\n 1.28897760e-08 1.28942286e-08 2.43974141e+01 4.87948281e+00\n 6.48859968e-09 5.55038905e+00 1.97295884e+01 2.28080097e+00\n 6.47400153e-09 1.71294364e+01 2.98392485e+01 1.57098121e+00\n 6.47261114e-09 1.56511952e+01 4.08476752e+01 3.37590864e+00\n 6.49520069e-09 4.72243171e+00 1.72339879e+01 2.03006807e+00\n 6.49390443e-09 5.63254757e+00 1.44128823e+01 1.09340360e+00\n 6.47930370e-09 1.33721818e+01 3.63954909e+01 1.26744364e+00\n 6.46773446e-09 1.28815869e+01 2.57631738e+01 1.28815869e+00\n 6.46233720e-09 2.07493816e+01 3.45823025e+01 1.38329209e+00\n 6.46692745e-09 1.29454097e+01 2.58908194e+01 1.29454097e+00\n 1.90154800e-08 9.83238673e-09 1.83436193e+01 2.62051705e+00\n 1.87751475e-08 1.00336619e-08 1.83436193e+01 2.62051705e+00\n 4.50896569e+01 6.29482880e+00 6.49327229e-09 2.62051705e+00\n 7.25762059e+00 6.49307065e-09 2.52423788e+01 5.77423781e+00\n 7.51485383e-09 4.60266517e-08 2.71563797e+01 3.87948281e+00\n 6.46457462e-09 3.07584204e+01 4.75907107e+01 1.96520690e+00\n 1.53718305e-08 1.11141725e-08 1.93974141e+01 3.87948281e+00\n 6.50284154e-09 4.23149360e+00 1.40524893e+01 1.28209957e+00\n 7.19176430e-09 6.40844216e-08 1.50000001e+01 1.00000000e+00\n 9.20023325e-09 3.36309456e-08 5.92156694e-08 2.71979204e-09\n 6.87402411e-09 1.82092840e-07 2.42624272e-07 3.75333516e-09\n 1.03231842e-08 2.62540959e-08 4.96800415e-08 3.13800981e-09\n 1.64437301e-08 1.55006124e-08 3.36223440e-08 2.69258729e-09\n 1.68445722e-08 1.45719959e-08 3.67260281e-08 3.30656772e-09\n 3.93077557e+01 1.31025852e+01 6.47465982e-09 3.50298815e-09\n 3.93077559e+01 1.31025853e+01 6.46814917e-09 1.48087515e-09\n 9.67545126e-09 1.95431187e-08 1.83436194e+01 2.62051705e+00\n 6.46181348e-09 5.04177247e+01 6.12215488e+01 8.23150232e-01\n 2.79840739e+01 5.92967804e-01 7.20971160e-09 2.62051705e+00\n 1.05255173e-08 1.67521197e-08 7.98260542e+00 1.14037220e+00\n 5.42281136e-08 7.34844874e-09 5.81922421e+01 3.87948281e+00\n 1.02413003e-08 2.75957426e-08 4.67117817e-08 2.13369628e-09\n 7.05313403e-09 1.32972321e-07 1.74659787e-07 2.46986007e-09\n 1.62500432e-08 1.70749654e-08 2.88607529e-08 2.32052926e-09\n 1.30674408e-08 2.01321935e-08 3.43676477e-08 1.90873551e-09\n 1.85626681e-08 1.50878575e-08 2.85865481e-08 2.10456905e-09\n 5.29239608e-08 1.91279189e-08 1.18775192e-08 1.97650710e-09\n 2.09499222e-07 7.29550608e-08 7.31044417e-09 5.72767179e-10\n 1.74425771e-08 1.44059700e-08 3.54426042e-08 3.12597597e-09\n 6.46725626e-09 2.57232178e+01 3.42976238e+01 8.57440592e-01\n 2.02499993e+01 6.74999975e+00 6.63446506e-09 4.53248595e-09\n 2.10558299e+00 6.57212401e-09 2.76462773e+01 4.00962770e+00\n 1.47858627e+02 3.88448640e+00 6.62644888e-09 2.62051705e+00\n 1.00398014e-08 2.80392222e-08 4.95640820e-08 2.55094389e-09\n 7.26733293e-09 1.00799405e-07 1.35233777e-07 2.35903635e-09\n 1.73842601e-08 1.48910656e-08 3.31639905e-08 3.94978458e-09\n 1.19191612e-08 2.16726877e-08 4.00232604e-08 2.41978847e-09\n 1.85097492e-08 1.47859654e-08 3.01499432e-08 2.37810676e-09\n 5.59338479e-08 1.94105439e-08 1.16860335e-08 2.15474691e-09\n 1.93082395e-07 6.78437469e-08 7.40264813e-09 4.82777625e-10\n 5.87056831e-08 1.13566414e-08 2.05126118e-08 2.06215423e-09\n 7.10930567e-09 1.24749302e-07 1.58155486e-07 3.16964221e-09\n 1.75036415e-08 1.50578128e-08 3.16593568e-08 3.61069090e-09\n 4.72499985e+01 1.26151192e-08 1.40355463e-08 1.34999996e+00\n 2.92499991e+02 6.74999978e+01 6.46286549e-09 1.60508987e-09\n 1.00070817e-08 2.58290344e-08 5.86677662e-08 5.03146388e-09\n 8.01037676e-09 5.18426380e-08 9.21409545e-08 4.61679982e-09\n 1.33291593e-08 1.23379032e-08 1.84436573e-01 3.68873123e-02\n 1.06437608e-08 2.28335254e-08 5.82028891e-08 4.78128602e-09\n 1.54950880e-08 1.48357860e-08 4.18988709e-08 3.96198076e-09\n 7.24165699e-08 2.29893236e-08 1.02676627e-08 2.44600506e-09\n 1.86894620e-07 6.54650042e-08 7.49472785e-09 5.96011132e-10\n 9.58680353e-08 1.09364845e-08 1.98221304e-08 2.56009211e-09\n 7.18244938e-09 1.06127546e-07 1.53601867e-07 5.44646646e-09\n 8.09655786e-09 4.89647158e-08 8.48498262e-08 3.13619949e-09\n 6.29999974e+01 1.04999995e+01 6.75652397e-09 7.92265864e-09\n 2.27499991e+02 5.24999979e+01 6.46226515e-09 7.75933596e-10\n 1.04708460e-08 1.64595665e-08 4.71480741e-01 9.42961443e-02\n 8.04470727e-09 3.15116377e-08 7.70739609e-01 1.10105653e-01\n 6.46668052e-09 3.12101989e-01 6.93470514e-01 4.50635070e-02\n 9.87054954e-09 1.98902354e-08 9.64815016e-01 1.37830713e-01\n 1.00871594e-08 1.95464480e-08 8.37637566e-01 1.19662506e-01\n 8.06965180e-08 1.83279025e-08 1.24543358e-08 5.10917948e-09\n 1.66305143e-07 5.04293653e-08 8.99366405e-09 3.34776104e-09\n 1.37973936e-07 9.15389664e-09 2.92237361e-08 4.78376339e-09\n 7.00896709e-09 8.05817041e-08 8.26901479e-01 1.18128770e-01\n 8.72099139e-09 3.04374383e-08 8.77412277e-08 9.33511160e-09\n 4.49999976e+01 7.49999960e+00 6.62398604e-09 1.41139621e-09\n 1.62499991e+02 3.74999979e+01 6.53548872e-09 1.07315448e-09\n 6.46382242e-09 3.43597447e-01 9.60477754e-01 8.90163173e-02\n 6.48660198e-09 1.53961452e+00 2.58647373e+00 1.05562330e-01\n 6.45471292e-09 5.17327549e-01 1.33562539e+00 1.11926814e-01\n 6.48264049e-09 1.50389122e+00 2.47693971e+00 9.60386076e-02\n 6.47978905e-09 1.77641432e+00 2.86517002e+00 1.04781834e-01\n 3.45243025e-08 9.69808745e-09 1.15914014e+00 2.31828029e-01\n 6.90819312e-08 8.36033857e-09 1.39603923e+00 2.79207850e-01\n 2.02101654e-08 1.21439226e-08 2.08065962e+00 2.97237087e-01\n 6.46611342e-09 3.59884078e+00 4.61650900e+00 9.39691634e-02\n 7.89043918e-09 3.67704205e-08 1.40154693e+00 2.80309376e-01\n 2.69999976e+01 4.49999954e+00 8.70322087e-09 1.04836934e-08\n 9.74999907e+01 2.24999978e+01 1.23901392e-08 8.85544995e-09\n 6.44387813e-09 4.91078864e-01 1.62202428e+00 1.77081198e-01\n 6.46423799e-09 1.62054615e+00 2.88527367e+00 1.34374041e-01\n 6.45421458e-09 7.81297134e-01 1.93117320e+00 1.51845501e-01\n 6.46872342e-09 1.68924950e+00 2.94850452e+00 1.31629302e-01\n 6.46674718e-09 1.83062421e+00 3.08579082e+00 1.27005968e-01\n 6.50360969e-09 1.74765949e+00 3.20950228e+00 1.17602610e-01\n 6.52369564e-09 1.27386123e+00 2.46418626e+00 1.10678883e-01\n 6.49744558e-09 3.28070677e+00 4.34903999e+00 1.05751791e-01\n 6.46860493e-09 4.03164067e+00 5.80560212e+00 1.95828198e-01\n 6.45663842e-09 7.61952640e-01 1.75202273e+00 1.21818755e-01\n 7.49999820e+00 7.21303546e-09 1.32500712e+00 4.03572393e-01\n 2.49999934e+01 8.98211507e-09 3.43088074e-06 5.00000096e-01\n 6.46843458e-09 1.39606474e+00 2.79212947e+00 1.39606473e-01\n 6.46578634e-09 2.24937159e+00 3.74895265e+00 1.49958106e-01\n 6.46648477e-09 1.54277003e+00 3.08554005e+00 1.54277002e-01\n 6.46737670e-09 2.01752266e+00 3.36253776e+00 1.34501510e-01\n 6.46591562e-09 2.22824739e+00 3.71374564e+00 1.48549825e-01\n 6.46529858e-09 1.50569493e+00 3.01138985e+00 1.50569493e-01\n 6.46679233e-09 1.10113394e+00 2.20226788e+00 1.10113394e-01\n 6.46354956e-09 2.91033764e+00 3.88045018e+00 9.70112544e-02\n 6.45984691e-09 2.76222013e+00 3.68296017e+00 9.20740043e-02\n 6.46303232e-09 9.78719951e-01 1.95743990e+00 9.78719946e-02\n 6.46125115e-09 1.44641592e+00 2.41069319e+00 9.64277276e-02\n 6.62579711e-09 1.84310526e-06 2.94503565e-06 3.67995370e-08\n 3.00000000e+00 2.00000000e+00 7.22480547e-01 4.44661593e-01\n 3.92324948e-01 3.12248415e-01 2.89994773e+00 1.23826599e+00\n 3.85002157e+00 1.30021054e-09 6.37270528e-01 1.29886067e-09\n 7.22480547e-01 9.84357193e-01 2.08596854e+00 5.25270334e-01\n 3.12248415e-01 3.40231417e-01 5.87948281e+00 5.87948281e+00\n 2.72576206e+00 2.00000000e+00 9.99999998e-01 4.42175097e-01\n 1.33235836e+00 1.23722496e+00 1.32597608e+00 6.54478887e-10\n 6.67217873e-10 3.23979957e-10 6.51162249e-10 1.54304086e-09\n 3.85420213e+00 1.11352775e-09 2.75725330e-01 1.27884401e-09\n 7.49999986e+00 7.49999986e+00 7.49999987e+00 4.87948281e+00\n 1.00000000e+00 9.99999999e-01 1.01628786e-09 2.27112884e-09\n 9.25708535e-10 4.81847683e-10 4.99466459e-10 3.84167815e-10\n 2.61832373e-10 6.49563054e-10 4.81940903e+00 3.34174973e-10\n 1.11201625e-09 1.47227643e-10 6.49999986e+00 6.49999986e+00\n 6.49999987e+00 6.49999986e+00 3.87948281e+00 1.14037220e+00\n 1.25220447e-09 2.76126886e-09 7.81261509e-10 7.09972293e-10\n 5.42969623e-10 6.04977372e-10 3.11964677e-10 2.84081610e-10\n 1.76307646e+00 3.93244746e-10 4.39806991e-10 8.14229844e-11\n 5.49999986e+00 5.49999986e+00 5.49999987e+00 5.49999986e+00\n 5.49999986e+00 4.14999990e+00 1.75848792e-09 3.23822490e-09\n 1.08967196e-09 1.01065162e-09 6.54801191e-10 5.69285253e-10\n 3.99510792e-10 2.19057064e-10 1.33050636e-09 1.68084663e-09\n 3.26669785e-10 9.28819698e-11 4.49999986e+00 4.49999986e+00\n 4.49999987e+00 4.49999986e+00 4.49999986e+00 4.49999986e+00\n 2.32067112e-09 3.41837521e-09 2.84134707e-09 1.46105759e-09\n 8.54301732e-10 5.25653666e-10 5.53069661e-10 2.29002657e-10\n 2.85127837e-09 3.18441266e-09 2.91978988e-10 9.14519539e-11\n 3.49999987e+00 3.49999987e+00 3.49999987e+00 3.49999986e+00\n 3.49999986e+00 3.49999987e+00 3.25250184e-09 5.72128714e-09\n 3.68873128e-02 2.16219077e-09 2.50227433e-09 6.38753092e-10\n 2.08493455e-09 2.43152195e-10 7.48825238e-09 3.71936175e-09\n 2.92019110e-10 1.01010727e-10 2.56809738e+00 2.49999987e+00\n 2.49999987e+00 2.49999987e+00 2.49999986e+00 2.49999987e+00\n 2.61986370e-02 1.10105655e-01 8.19508158e-02 6.97332050e-02\n 1.19662505e-01 1.70044771e-09 2.15444554e-09 4.26925242e-10\n 1.18128777e-01 8.39878974e-09 5.02343708e-10 1.20570847e-10\n 1.63368344e+00 1.62865576e+00 1.71274649e+00 1.73808999e+00\n 1.49999987e+00 1.49999988e+00 4.96288912e-02 8.70120972e-02\n 6.52217415e-02 1.00185750e-01 9.57884511e-02 1.03172142e-01\n 6.64612334e-02 5.91469603e-02 2.12097931e-01 4.22192571e-02\n 9.54364983e-10 2.10646932e-10 7.72007210e-01 7.32420215e-01\n 8.23704263e-01 8.46485821e-01 9.06593847e-01 8.56504515e-01\n 8.83863170e-02 1.17621680e-01 1.13302783e-01 9.34912798e-02\n 1.19029960e-01 1.17010293e-01 6.61823441e-02 5.65029253e-02\n 1.33214955e-03 5.56421853e-02 4.70677583e-02 9.34061169e-02]"", ""info"": {""exitFlag"": 0, ""pcost"": -1412.2499979128904, ""dcost"": -1412.2500006081953, ""pres"": 1.9971485030285623e-11, ""dres"": 6.525979316487296e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.0935918622367832, ""gap"": 3.876760277568249e-06, ""relgap"": 2.745094907627943e-09, ""r0"": 1e-08, ""iter"": 23, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.003048457, ""tsetup"": 0.000301291, ""tsolve"": 0.002747166}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3073,cvxpy_osqp,unknown,NETLIB,sctap1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:30,0.12191486358642578,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3074,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,sctap1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:31,0.581974983215332,OPTIMAL,1412.2500030022518,1412.2499994563343,3.5459174796415027e-06,3.886837269369564e-09,7.068051115700168e-15,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1412.2499994563343, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +3075,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,sctap1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:32,0.050492286682128906,OPTIMAL,1412.250012032338,1412.2499910018387,2.1030499283369863e-05,8.032887773245331e-11,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1412.2499910018387, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3076,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,sctap1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:33,0.015645980834960938,OPTIMAL,1412.25,1412.25,0.0,1.8275350513295967,3.5864079817894123e-20,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1412.25, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3077,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,sctap1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:33,0.00526118278503418,OPTIMAL,1412.25,1412.25,0.0,1.629135849116607e-16,5.820364555584331e-20,163,"{""solver_solve_time"": 0.002167126163840294, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1412.25, ""solver_stats"": {""solve_time"": 0.002167126163840294, ""num_iters"": 163, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3078,scipy_linprog,scipy-1.15.3,NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:34,0.03208184242248535,OPTIMAL,1724.807142857143,,,0.0,,921,"{""solver_solve_time"": 0.03208184242248535, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1724.807142857143, ""scipy_nit"": 921, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3079,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:35,0.021950960159301758,OPTIMAL,1724.8071514409482,1724.807140009027,1.143192116614955e-05,3.3621168288038167e-09,1.0695398868778576e-14,13,"{""solver_solve_time"": 0.010303666, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1724.807140009027, ""solver_stats"": {""solve_time"": 0.010303666, ""num_iters"": 13, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3080,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:36,0.06602597236633301,OPTIMAL,1724.806883057989,1724.8068176084,6.54495888738893e-05,2.3137950232083507e-06,1.8750731256559228e-09,600,"{""solver_solve_time"": 0.051545666, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1724.8068176084, ""solver_stats"": {""solve_time"": 0.051545666, ""setup_time"": 0.001947833, ""num_iters"": 600, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-5.57921673e-07 3.63766039e-08 2.82557607e-07 ... -3.83308421e-08\n 7.09935889e-08 6.33756204e-08]"", ""y"": ""[0.99999972 0. 0. ... 1.22225654 1.14176372 2.69142559]"", ""s"": ""[ 0. 6.19538838 18.68718345 ... 0. 0.\n 0. ]"", ""info"": {""status_val"": 1, ""iter"": 600, ""scale_updates"": 0, ""scale"": 0.1, ""pobj"": -1724.8068176084, ""dobj"": -1724.8068830579891, ""res_pri"": 0.0006819376123056522, ""res_dual"": 9.37759591640864e-05, ""gap"": 6.544958911223618e-05, ""res_infeas"": NaN, ""res_unbdd_a"": 0.0463820072923999, ""res_unbdd_p"": 0.0, ""comp_slack"": 8.071691039032859e-15, ""solve_time"": 51.545666, ""setup_time"": 1.947833, ""lin_sys_time"": 42.848624999999984, ""cone_time"": 2.2340429999999936, ""accel_time"": 1.3422809999999978, ""rejected_accel_steps"": 4, ""accepted_accel_steps"": 5, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +3081,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:36,0.020169973373413086,OPTIMAL,1724.8071444520078,1724.8071424516083,2.000399490498239e-06,6.623216687316197e-10,1.135312088819795e-15,14,"{""solver_solve_time"": 0.008464875, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1724.8071424516083, ""solver_stats"": {""solve_time"": 0.008464875, ""setup_time"": 0.000730791, ""num_iters"": 14, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-4.07420885e-10 -4.07512885e-10 -4.06980959e-10 ... 6.22753241e-10\n 7.30848768e-10 3.12687266e-10]"", ""y"": ""[]"", ""z"": ""[1.00000000e+00 1.71424816e-10 5.03689009e-11 ... 5.07344875e-01\n 3.99456449e-01 2.05350318e+00]"", ""s"": ""[5.91300336e-10 3.30737311e+00 1.23396631e+01 ... 6.58300274e-10\n 7.66394144e-10 3.48233310e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": -1724.8071424516088, ""dcost"": -1724.8071444520062, ""pres"": 1.08539354241393e-11, ""dres"": 1.1195367866397288e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.6017513458577534, ""gap"": 7.276536157255735e-06, ""relgap"": 4.218753493166199e-09, ""r0"": 1e-08, ""iter"": 14, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.009195666, ""tsetup"": 0.000730791, ""tsolve"": 0.008464875}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3082,cvxpy_osqp,unknown,NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:38,0.5748980045318604,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. 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{""exitFlag"": 0, ""pcost"": 76589.31857611632, ""dcost"": 76589.31857611821, ""pres"": 5.568708048365248e-10, ""dres"": 6.23537094582068e-17, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.06294496024409657, ""dinfres"": NaN, ""gap"": 1.029132923788213e-05, ""relgap"": 1.343702937852111e-10, ""r0"": 1e-08, ""iter"": 28, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.002713082, ""tsetup"": 0.000133041, ""tsolve"": 0.002580041}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3109,cvxpy_osqp,unknown,NETLIB,share1b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:10,0.057105302810668945,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3110,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,share1b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:11,0.2661898136138916,OPTIMAL,-76589.31843722261,-76589.31844529387,8.07126343715936e-06,4.118756686382952e-08,9.653516288368097e-15,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -76589.31844529387, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +3111,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,share1b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:12,0.03588294982910156,OPTIMAL (INACCURATE),-76589.31857939559,-76589.31853951575,-3.987984382547438e-05,1.3982690493926963e-10,1.6920155295684708e-12,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through 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""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -76589.31857918561, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3113,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,share1b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:13,0.004853010177612305,OPTIMAL,-76589.31857918567,-76589.31857918567,0.0,4.7377368775305103e-14,3.969825627278918e-19,227,"{""solver_solve_time"": 0.002422792837023735, ""original_status"": {""cvxpy_status"": 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1.05456650e+00 1.48852800e+01 2.50105783e+01 5.42550287e-08\n 1.61190661e+01 3.73044176e+01]"", ""s"": ""[5.80176826e-10 5.81817489e-10 6.00191693e+00 5.46372395e+00\n 4.27934312e+01 2.02367831e+01 1.97860982e-10 1.17743854e-10\n 1.95036330e-11 5.88333174e-11 2.46560417e-10 3.70000000e+00\n 6.91692339e-10 2.33057453e-10 2.83221710e-10 2.74024936e+01\n 2.13011271e-01 2.99605532e-10 8.21215602e-11 7.83115092e-11\n 9.81725751e-10 1.60545260e+01 3.97919788e+01 9.41269669e-10\n 4.92371450e+01 2.02520470e-10 2.52791265e+00 1.15343656e-09\n 1.23444980e+01 1.56266671e-10 2.30734092e-11 7.26832563e-11\n 1.79082498e-10 1.52494206e-02 6.53764528e-03 2.56257587e-03\n 3.40245523e-03 9.63851211e+00 2.22785736e-02 9.23035435e+00\n 1.94252067e-01 7.71638718e-04 1.03317143e-03 2.26185869e-10\n 1.13341357e-09 8.44307678e-10 2.47361569e-09 3.14677742e-10\n 8.30680131e+00 1.15653247e-09 9.90183571e+00 3.26113067e-01\n 1.95359140e-10 2.81993844e-11 8.37494587e-11 4.04603702e-10\n 2.43747824e-10 9.09776887e-11 1.18759231e-09 1.15819558e-10\n 9.66505868e-10 1.68422689e-09 1.14172580e-09 3.20777077e-10\n 5.77062214e-11 3.49135260e-11 2.80000000e+00 3.61281328e-11\n 1.74892586e-09 6.01256816e-10 5.11187000e-10 1.86606208e-09\n 6.28848497e-10 2.36964167e-09 3.03833980e-09 5.72024252e-10\n 2.50438313e-01 1.34815821e-10 1.18970554e-10 1.25642752e-01\n 9.31633077e-10 6.06298995e-10 7.04142394e-10 2.84949571e-11\n 3.32508412e-01 2.73298935e-11 1.91262240e+00 2.05537829e+00\n 3.75206159e-03 1.03838053e-09 7.56064429e-10 7.94092852e-10\n 1.74620427e-11 2.20375593e-11 2.64705882e-02 4.00707641e-11\n 4.15189732e-11 6.85999824e-01 1.04804068e-09 8.95545576e-10\n 1.35375429e-09 5.09345837e-11 1.42765610e+00 3.02534221e-11\n 2.17526181e+00 3.15262611e+00 5.10351256e-03 3.16997474e-01\n 4.91301860e-03 1.44526795e-02 6.04321963e-03 1.77431297e-03\n 1.78993240e-02 9.49185399e-04 7.05808440e-04 3.40607079e-01\n 5.33115341e-10 1.04985485e+01 1.91896294e-09 7.95883077e-11\n 1.92137049e-01 5.48121206e-11 5.65739033e-01 5.16300866e-01\n 6.40527951e-02 2.59501411e-10 4.17684464e-10 6.48121270e-10\n 6.83103917e-11 2.38134857e-11 2.14285714e-02 2.46625009e-11\n 1.28797351e-11 1.09424135e-01 4.81758840e-10 2.72410437e+01\n 1.45357340e-01 1.81063790e-10 8.03474504e-10 1.99081285e-09\n 9.07805289e+00 5.67193770e-01 1.05763799e-09 2.56728261e+00\n 3.05396739e+00 2.49677795e+00 2.81175890e+00 2.94065218e+00\n 2.88242236e+00 2.28321429e+00 2.66266305e+00 3.80622051e+01\n 2.74309269e+00 6.40527951e-02 6.30281132e-10 9.36858035e-10\n 1.57890769e-09 7.12917919e-11 5.43347889e-11 2.14285713e-02\n 1.04094269e-10 5.67048873e-11]"", ""info"": {""exitFlag"": 0, ""pcost"": 415.7322407326497, ""dcost"": 415.73224074133924, ""pres"": 3.840976379740079e-12, ""dres"": 2.448313292395755e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.10972524818059659, ""dinfres"": NaN, ""gap"": 2.640666168768352e-07, ""relgap"": 6.351843590623332e-10, ""r0"": 1e-08, ""iter"": 13, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.0008365, ""tsetup"": 9.075e-05, ""tsolve"": 0.00074575}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3118,cvxpy_osqp,unknown,NETLIB,share2b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:16,0.04273104667663574,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3119,cvxpy_cvxopt,unknown,NETLIB,share2b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:17,0.9354240894317627,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3120,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,share2b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:18,0.011718988418579102,OPTIMAL,-415.73223798932815,-415.7322488044574,1.0815129257935041e-05,1.1036509094162188e-11,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -415.7322488044574, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3121,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,share2b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:19,0.006911039352416992,OPTIMAL,-415.73224074141865,-415.7322407414202,1.5347723092418164e-12,2.799054532579205,5.183587698617961e-16,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -415.7322407414202, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3122,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,share2b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:19,0.003614187240600586,OPTIMAL,-415.73224074141837,-415.73224074141876,3.979039320256561e-13,1.5422136126018506e-14,4.2914498246278455e-16,97,"{""solver_solve_time"": 0.0010393336415290833, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -415.73224074141876, ""solver_stats"": {""solve_time"": 0.0010393336415290833, ""num_iters"": 97, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3123,scipy_linprog,scipy-1.15.3,NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:20,0.019741058349609375,OPTIMAL,1208825346.0,,,0.0,,299,"{""solver_solve_time"": 0.019741058349609375, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1208825346.0, ""scipy_nit"": 299, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3124,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:20,0.019858121871948242,OPTIMAL,1208825349.324287,1208825344.2642608,5.060026168823242,5.478426313405951e-09,3.2542225316389544e-14,20,"{""solver_solve_time"": 0.01062679, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1208825344.2642608, ""solver_stats"": {""solve_time"": 0.01062679, ""num_iters"": 20, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3125,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:21,0.28185510635375977,OPTIMAL,1208864092.0576096,1208863904.9615493,187.0960602760315,8.337178143001064e-06,1.5402034548411636e-08,4550,"{""solver_solve_time"": 0.271168166, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1208863904.9615493, ""solver_stats"": {""solve_time"": 0.271168166, ""setup_time"": 0.001537416, ""num_iters"": 4550, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-3.93421850e+03 2.56612628e+02 1.48702472e+02 4.56704600e+01\n 3.35684046e+02 -3.93346708e+03 3.35753522e+02 1.21671759e+02\n -1.95179962e+01 -3.05667632e+01 1.18848765e+02 2.46206697e+02\n 2.25251666e+02 -1.15018993e+01 8.31162073e+01 1.21726403e+02\n 1.85082269e+02 1.52397424e+02 3.34065066e+02 4.19884728e+01\n 7.22926007e+01 1.02659120e+02 -3.14129506e+02 -5.71263300e+00\n -9.18578233e+01 2.30161568e+01 -2.51803241e+01 -7.99954127e+01\n 4.72627133e+01 -1.44286253e+01 -1.73551720e+01 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2.91770020e+02 6.69200541e+01\n 8.08938955e+01 9.74251799e+01 8.42147499e+01 6.64021786e+01\n 5.79640768e+01 7.51203879e+02 3.21459569e+02 3.13874754e+02\n 3.34292046e+02 2.05293324e+02 9.74857349e+01 2.62799120e+02\n 2.16024024e+02 4.49556661e+02 2.88768955e+02 1.70943797e+02\n 1.93885331e+02 1.55026507e+02 1.09861691e+02 2.86803274e+02\n 3.67250121e+02 3.54858624e+02 9.67753311e+01 2.86152691e+02\n -2.71836028e+02 -2.65216057e+02 -5.43964170e+02 -4.75991963e+02\n -4.56628063e+02 -4.70022115e+02 -4.72037483e+02 -5.14105713e+02\n -5.00081700e+02 -4.76058915e+02 -4.60030363e+02 -4.51025449e+02\n -4.23022680e+02 -3.81019736e+02 -4.62023497e+02 -4.52010691e+02\n -3.91006623e+02 -3.52005808e+02 -3.68436624e+02 -5.30621173e+02\n -5.20473467e+02 -5.10326977e+02 -5.02183777e+02 -4.91042639e+02\n -4.51992607e+02 -4.48038693e+02 -1.23112347e+02 -3.86878394e+02\n -3.92037650e+02 -4.08967797e+02 -3.41899552e+02 -4.16944844e+02\n -1.52479312e+02 5.11309615e+01 1.60314187e+02 -3.38927935e+02\n 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4.18108247e+01 -4.93524241e+00\n 8.62053134e+01 6.40937605e+01 8.52477542e+01 -2.26334255e+02\n -4.52037769e+02 2.36453102e+01 -2.53137553e+01 1.91927593e+01\n -1.84664260e+01 7.35985402e+01 -3.18889216e+01 -2.70099296e+01\n -4.14950924e+02 8.47942624e+01 4.46799632e+02 -3.00917691e+02\n -7.70099286e+01 4.10949665e+02 -9.20562719e+00 -3.96033160e+02\n -1.26009963e+02 -3.43959550e+02 -3.27018231e+02 2.22154693e+02\n 1.21082198e+02 -3.58004984e+02 -3.04956651e+02 -2.92108250e+01\n 2.45992215e+01 -3.43959578e+02 -2.03061527e+01 5.00935640e+02\n -1.61208107e+02 -3.69961020e+02 -3.96952575e+02 1.71260023e+02\n -4.51960986e+02 -1.11208078e+02 -1.06207207e+02 8.47943318e+01\n 4.52799648e+02 1.21794274e+02 -1.22208286e+02 3.60974478e+02\n 4.83362350e+01 -1.72085136e+01 1.26794382e+02 1.51034935e+02\n -5.37957733e+02 6.93363082e+01 -4.62040343e+02 1.17992394e+02\n 2.08154678e+02 8.68559788e+01 1.07855975e+02 6.97900028e+01\n 4.50949671e+02 -5.43962243e+02 1.72208510e-01 -1.60349219e-01\n 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2.88153481e+02, 3.48269618e+02, 3.86400646e+02, 3.83671746e+02,\n 2.29956785e+02, 2.39957341e+02, 2.49957883e+02, 2.57958380e+02,\n 2.68958864e+02, 3.06527180e+02, 3.09003545e+02, 2.20832996e+02,\n 2.64900827e+02, 2.35823029e+02, 1.24822523e+02, 3.10228153e+02,\n 1.24823181e+02, 1.50951908e+02, 2.57009849e+02, 2.57009701e+02,\n 3.25903206e+02, 3.86884734e+02, 3.87560043e+02, 3.51404295e+02,\n 2.47266616e+02, 2.86885946e+02, 1.22762716e+02, 1.34954083e+02,\n 1.60953485e+02, 4.60953537e+02, 6.00953576e+02, 4.56388589e+02,\n 1.68260397e+02, 1.77708420e+02, 2.37252377e+02, 3.36713454e+02,\n 3.82223124e+02, -5.39077931e+01, 2.65730342e+00, -3.60413663e+01,\n 9.18200786e+01, 7.29590837e+01, 9.19595199e+01, 1.31959942e+02,\n 1.31960349e+02, 1.83960601e+02, 1.71960490e+02, 1.90960615e+02,\n 1.93960726e+02, 1.97960823e+02, 2.04960904e+02, 1.75117943e+02,\n 2.10950593e+02, 1.21950507e+02, 2.24950669e+02, 2.53699879e+02,\n 2.19600161e+02, 4.49502788e+01, 1.73776481e+02, 1.14949781e+02,\n 2.19510332e+01, 3.19516326e+01, 2.62951935e+02, 1.94989547e+01,\n 7.19504619e+01, 1.65020853e+01, -3.49461866e+00, 1.94960098e+01,\n 3.98906164e+01, 1.11618410e+01, -6.15542527e+00, -8.30309495e+00,\n 2.69503657e+01, -6.70503603e+01, 1.14949742e+02, -3.49131331e+00,\n -5.00078409e+01, 1.95005354e+02, 2.71644017e+02, 1.17643761e+02,\n 3.00391370e+01, 2.98480393e+01, 2.25369771e+01, 9.56789013e+00,\n -4.45936234e-01, 6.80953584e+02, 2.53822960e+02, 2.44950690e+02,\n 2.66832727e+02, 1.34954098e+02, 2.98480610e+01, 1.93960617e+02,\n 1.46957846e+02, 3.79950212e+02, 2.19960820e+02, 1.01953978e+02,\n 1.24949798e+02, 8.59576948e+01, 4.09502708e+01, 2.17960920e+02,\n 2.97958880e+02, 2.85951949e+02, 2.94987808e+01, 2.16959731e+02,\n -3.36831880e+02, -3.32737378e+02, -6.11753854e+02, -5.74277398e+02,\n -5.34449725e+02, -5.54872345e+02, -5.39786139e+02, -5.81772343e+02,\n -5.67777237e+02, -5.43781837e+02, -5.27787474e+02, -5.18788431e+02,\n -4.90789060e+02, -4.48789661e+02, -5.29789048e+02, -5.19791902e+02,\n -4.58792824e+02, -4.19793142e+02, -4.63157152e+02, -5.98763945e+02,\n -5.88770263e+02, -5.78776295e+02, -5.70782021e+02, -5.59787453e+02,\n -5.20788428e+02, -5.16788130e+02, -2.48700491e+02, -4.78352668e+02,\n -4.60788440e+02, -4.77789909e+02, -4.10791989e+02, -4.85789106e+02,\n -3.75846842e+02, -1.77935745e+01, 5.23043850e+01, -4.06756046e+02,\n -4.06755890e+02, -3.44756146e+02, -4.84692720e+02, -5.40014324e+02,\n -3.93493307e+02, -4.25143347e+02, -4.11754480e+02, -4.10934216e+02,\n -4.06755276e+02, -2.11832205e+02, -1.99835889e+02, -1.73839864e+02,\n 1.26156588e+02, 2.36155927e+02, 2.66155849e+02, 3.66155645e+02,\n -1.06756537e+02, 2.66154772e+02, 3.66154029e+02, -1.65832287e+02,\n -1.55832662e+02, -4.16251953e+02, -5.17754114e+02, -5.26298353e+02,\n -3.90711214e+02, -3.03837797e+02, -2.69843387e+02, -2.41817318e+02,\n -1.60848787e+02, -1.41854152e+02, -1.01859182e+02, -1.01863536e+02,\n -4.98643126e+01, -6.18670778e+01, -4.28702777e+01, -3.98731341e+01,\n 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-2.76445830e+00, -2.79732412e+00, -2.82614865e+00, 3.52197531e-04,\n -2.85911612e+00, -2.85720064e+00, -2.86841138e+00, -4.92562414e-05,\n -4.97276653e-05, -3.47010733e-05, -2.88576701e+00, -2.88110551e+00,\n -2.90486330e+00, -4.81207336e-05, -2.91641225e+00, -7.40526729e-05,\n -2.72552014e+00, -2.72439931e+00, -2.73548011e+00, -1.81601819e-05,\n -2.93530125e+00, -3.03429334e+00, -3.05396844e+00, -3.04877618e+00,\n -3.05084019e+00, -2.73476520e+00, -3.06167708e+00, -3.06825724e+00,\n -2.95326826e+00, -2.70264508e+00, -2.99311189e+00, -3.18583296e+00,\n -3.24689198e+00, -3.32229849e+00, -3.33716418e+00, -3.36372283e+00,\n -3.38042021e+00, -3.38866730e+00, -3.38904408e+00, -3.36747069e+00,\n -2.70667324e+00, -2.57153271e+00, -2.40495117e+00, -2.40162727e+00,\n -2.93209884e+00, -2.94120474e+00, -2.40972014e+00, -8.91684173e+00,\n -2.22440679e+00, -2.50212727e+00, -2.51638503e+00, -7.64838777e-06,\n -1.78434226e-04, -3.07016184e-04, -2.50346153e+00, -2.91903671e-05,\n -2.05196150e-05, -1.25315935e-04, -5.69911599e-05, -3.37746736e-05,\n -2.86907243e+00, -1.05158058e-04, -1.40044648e-04, -9.96913147e-05,\n -3.09273340e+00, -2.70451348e+00, -2.50499711e+00, -2.51836392e+00,\n -2.88182167e+00, -3.09273340e+00, -3.06896573e+00, -2.50474943e+00,\n -2.88821467e+00, -3.09273340e+00, -2.70051765e+00, -3.03512073e+00,\n -2.94359980e+00, -2.74217638e+00, -3.10880765e+00, -2.70190378e+00,\n -2.50536680e+00, -3.33022345e+00, -2.70051765e+00, -3.25105526e+00,\n -3.07231384e+00, -2.49425802e+00, -2.70208826e+00, -2.71039456e+00,\n -2.42524144e+00, -2.70208826e+00, -2.49425802e+00, -2.50329720e+00,\n -2.50499711e+00, -2.51836392e+00, -2.50474943e+00, -2.49425802e+00,\n -3.06440200e+00, -3.39563068e+00, -2.50717576e+00, -2.50474943e+00,\n -2.96913328e+00, -2.70893159e+00, -3.39563068e+00, -2.86199819e+00,\n -3.08978011e+00, -2.94359980e+00, -2.22527154e+00, -2.22473165e+00,\n -2.53212579e+00, -3.06896573e+00, -2.69896996e+00]), y=array([ 2.84306391e+05, 8.16689999e+04, 1.13937440e+03, ...,\n 0.00000000e+00, 0.00000000e+00, -1.65436123e-18], shape=(2144,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2144,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 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2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved inaccurate', status_val=2, status_polish=0, obj_val=-1208847863.4009597, prim_res=0.16594677931834667, dual_res=6.391402854022398, iter=10000, rho_updates=4, rho_estimate=1.9430822116583156e-05, setup_time=0.001144083, solve_time=0.334675375, update_time=0.0, polish_time=0.0, run_time=0.335819458))""}}, ""problem_class"": ""LP""}" +3128,cvxpy_cvxopt,unknown,NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:24,0.13980698585510254,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3129,cvxpy_sdpa,unknown,NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:24,0.10171222686767578,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3130,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:25,0.03891897201538086,OPTIMAL,1208825346.0,1208825346.0,0.0,0.8209979541371544,0.0,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1208825346.0, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3131,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:26,0.016547679901123047,OPTIMAL,1208825346.0,1208825346.0,0.0,0.0,0.0,422,"{""solver_solve_time"": 0.006522750481963158, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1208825346.0, ""solver_stats"": {""solve_time"": 0.006522750481963158, ""num_iters"": 422, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3132,scipy_linprog,scipy-1.15.3,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:26,0.013056039810180664,OPTIMAL,1793324.5379703566,,,0.0,,382,"{""solver_solve_time"": 0.013056039810180664, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1793324.5379703566, ""scipy_nit"": 382, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3133,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:27,0.015888214111328125,OPTIMAL,1793324.5461937701,1793324.5373051448,0.008888625307008624,3.7820482001582044e-08,7.87445517545112e-16,18,"{""solver_solve_time"": 0.009322295, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1793324.5373051448, ""solver_stats"": {""solve_time"": 0.009322295, ""num_iters"": 18, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3134,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:28,0.14674997329711914,OPTIMAL,1793324.4345395854,1793326.6562952967,-2.221755711361766,4.0464145616993575e-06,2.155924974953993e-11,2700,"{""solver_solve_time"": 0.13842474999999999, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1793326.6562952967, ""solver_stats"": {""solve_time"": 0.13842474999999999, ""setup_time"": 0.001819583, ""num_iters"": 2700, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 4.53592396e+03 4.66379468e+03\n 4.65107746e+03 4.58000490e+03 4.80183586e+03 4.79456464e+03\n 4.57633662e+03 4.63150659e+03 4.71977860e+03 4.85341260e+03\n 4.68054660e+03 4.65847859e+03 0.00000000e+00 4.72468259e+03\n 4.90791419e+03 4.74429860e+03 4.64988689e+03 4.76514060e+03\n 4.77493888e+03 4.71854295e+03 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6.16479205e+01]"", ""y"": ""[]"", ""z"": ""[1.87378927e+02 2.86426754e+01 3.46314340e+01 ... 1.27907446e-10\n 8.47790299e-11 6.73020581e-10]"", ""s"": ""[2.29607200e-10 1.48842360e-09 1.28218031e-09 ... 3.36093507e+02\n 5.06252898e+02 6.16479205e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": -1793324.5379620618, ""dcost"": -1793324.5380751586, ""pres"": 8.601313209867074e-13, ""dres"": 1.385540754552277e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.25727332643640954, ""gap"": 0.00036036524567154644, ""relgap"": 2.0094814856047549e-10, ""r0"": 1e-08, ""iter"": 19, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.007665957, ""tsetup"": 0.000966916, ""tsolve"": 0.006699041}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3136,cvxpy_osqp,unknown,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:29,0.2734086513519287,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3137,cvxpy_cvxopt,unknown,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:30,0.045240163803100586,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3138,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:31,0.08082914352416992,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3139,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:31,0.04358196258544922,OPTIMAL,1793238.9362343557,1793324.5379703557,-85.60173600004055,0.9500365330967733,3.797206656288114e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1793324.5379703557, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3140,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:32,0.012125730514526367,OPTIMAL,1793324.5379703555,1793324.5379703557,-2.3283064365386963e-10,2.5873961111069837e-16,3.834541464941153e-21,358,"{""solver_solve_time"": 0.0058454181998968124, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1793324.5379703557, ""solver_stats"": {""solve_time"": 0.0058454181998968124, ""num_iters"": 358, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3141,scipy_linprog,scipy-1.15.3,NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:33,0.009490966796875,OPTIMAL,1798714.7004453922,,,0.0,,278,"{""solver_solve_time"": 0.009490966796875, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1798714.7004453922, ""scipy_nit"": 278, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3142,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:33,0.011592864990234375,OPTIMAL,1798714.7130677018,1798714.698719347,0.014348354889079928,6.583114104179022e-08,2.526815003602955e-15,15,"{""solver_solve_time"": 0.00651383, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1798714.698719347, ""solver_stats"": {""solve_time"": 0.00651383, ""num_iters"": 15, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3143,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:34,0.08280706405639648,OPTIMAL,1798709.161892525,1798721.2735931065,-12.111700581619516,1.8998523503488097e-05,1.0275198441188113e-10,2200,"{""solver_solve_time"": 0.077369833, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1798721.2735931065, ""solver_stats"": {""solve_time"": 0.077369833, ""setup_time"": 0.0010595000000000001, ""num_iters"": 2200, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 4.58858070e+03 4.70062955e+03\n 4.71131668e+03 4.62813048e+03 4.84310946e+03 4.84596850e+03\n 4.62774043e+03 4.68291044e+03 4.77118289e+03 4.90481645e+03\n 4.73195044e+03 4.70988241e+03 0.00000000e+00 4.77608644e+03\n 4.97347241e+03 4.79570244e+03 4.78711926e+03 4.81654445e+03\n 4.82306329e+03 4.76667000e+03 5.02045032e+03 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4.75204493e+03,\n 4.82076045e+03, 4.64588401e+03, 4.92336105e+03, 4.86042513e+03,\n 4.64219713e+03, 4.69736714e+03, 4.78563914e+03, 4.91927314e+03,\n 4.74640714e+03, 4.72433914e+03, 0.00000000e+00, 4.79054314e+03,\n 4.98792914e+03, 4.81015914e+03, 4.80157741e+03, 4.83100114e+03,\n 4.84081834e+03, 4.78442176e+03, 5.03820406e+03, 4.92050363e+03,\n 4.85062606e+03, 0.00000000e+00, 5.32763374e+03, 4.97690376e+03,\n 4.90333514e+03, 4.91436941e+03, 4.88985363e+03, 5.01858806e+03,\n 4.75253743e+03, 4.83836576e+03, 5.29453174e+03, 4.90456976e+03,\n 4.79545576e+03, 5.00462378e+03, 4.72924314e+03, 4.78318713e+03,\n 4.77583114e+03, 4.81874142e+03, 4.85674714e+03, 4.72679114e+03,\n 4.81138513e+03, 4.97887778e+03, 4.82732313e+03, 4.91682114e+03,\n 4.75131143e+03, 4.73292114e+03, 5.01980541e+03, 4.91191743e+03,\n 5.02348341e+03, 4.75376350e+03, 5.05658541e+03, 4.84326143e+03,\n 4.95727913e+03, 5.09459141e+03, 4.93643741e+03, 4.97689513e+03,\n 4.86900741e+03, 4.93643713e+03, 0.00000000e+00, 0.00000000e+00,\n 4.94256741e+03, 4.84087752e+03, 5.18051374e+03, 5.12166574e+03,\n 5.08856400e+03, 5.29453174e+03, 5.07507774e+03, 0.00000000e+00,\n 5.15589123e+03, 5.46984974e+03, 5.09459114e+03, 5.06159174e+03,\n 5.48333574e+03, 5.29575774e+03, 5.13755689e+03, 5.34602400e+03,\n 5.13392574e+03, 5.10440776e+03, 0.00000000e+00, 5.20748600e+03,\n 4.71428435e+03, 4.98915514e+03, 0.00000000e+00, 0.00000000e+00,\n 4.61845553e+03, 4.90317082e+03, 4.84782132e+03, 4.80675261e+03,\n 4.84161594e+03, 4.86242953e+03, 4.64420153e+03, 4.69937153e+03,\n 4.78764355e+03, 4.92127753e+03, 4.74841153e+03, 4.72634353e+03,\n 0.00000000e+00, 4.79254753e+03, 4.98993353e+03, 4.81216353e+03,\n 4.74702204e+03, 4.83300553e+03, 4.92250353e+03, 4.87777756e+03,\n 5.11253354e+03, 4.84290028e+03, 4.90533954e+03, 0.00000000e+00,\n 4.90012110e+03, 4.87777756e+03, 4.90533953e+03, 4.74194091e+03,\n 4.89185353e+03, 4.83809132e+03, 4.75454145e+03, 4.87777756e+03,\n 5.39357120e+03, 4.87777756e+03, 4.87777756e+03, 5.00662889e+03,\n 4.73124753e+03, 4.75111266e+03, 4.77783553e+03, 4.82074544e+03,\n 4.85875153e+03, 4.72879553e+03, 4.81338953e+03, 4.98088289e+03,\n 4.82932753e+03, 4.91882553e+03, 4.75331545e+03, 4.73492553e+03,\n 4.74194091e+03, 4.61575042e+03, 4.74194091e+03, 4.75576823e+03,\n 4.74194091e+03, 4.84526545e+03, 4.95928353e+03, 4.74194091e+03,\n 4.74194091e+03, 4.84425127e+03, 4.87101146e+03, 4.84425127e+03,\n 0.00000000e+00, 0.00000000e+00, 4.94457146e+03, 4.83500256e+03,\n 5.27955320e+03, 5.22070520e+03, 5.13950554e+03, 5.39357120e+03,\n 5.17411720e+03, 0.00000000e+00, 5.15789547e+03, 5.56888920e+03,\n 5.09659553e+03, 5.16063120e+03, 5.58237520e+03, 5.39479720e+03,\n 5.15176554e+03, 5.44506291e+03, 5.23296520e+03, 4.87777756e+03,\n 0.00000000e+00, 5.30652491e+03, 4.80902147e+03, 4.99115953e+03,\n 0.00000000e+00, 0.00000000e+00, 2.81465073e+03, 3.06755759e+03,\n 2.87662828e+03, 2.68444394e+03, 2.86285400e+03, 2.82153794e+03,\n 2.81402594e+03, 2.83906594e+03, 2.84282195e+03, 2.90917794e+03,\n 2.77145794e+03, 2.80964394e+03, 0.00000000e+00, 2.80901794e+03,\n 2.98241994e+03, 2.86410594e+03, 2.79627821e+03, 2.78084794e+03,\n 2.78397794e+03, 2.75518194e+03, 2.88476395e+03, 2.82466794e+03,\n 2.78898595e+03, 0.00000000e+00, 3.39286114e+03, 2.68267325e+03,\n 2.89415394e+03, 2.98470609e+03, 2.80901794e+03, 2.86798589e+03,\n 2.94213559e+03, 2.78272594e+03, 3.37595914e+03, 2.81652994e+03,\n 2.68267325e+03, 3.01287644e+03, 2.87474794e+03, 2.87725194e+03,\n 2.84031794e+03, 2.97593956e+03, 2.88726794e+03, 2.80651394e+03,\n 2.86973994e+03, 2.99973044e+03, 2.86723594e+03, 2.96426594e+03,\n 2.94150959e+03, 2.82842394e+03, 2.89568117e+03, 2.87066141e+03,\n 2.89568117e+03, 2.88601620e+03, 2.89568117e+03, 2.87066141e+03,\n 2.86848794e+03, 2.89568117e+03, 3.02602209e+03, 2.89916194e+03,\n 3.00160557e+03, 2.87525197e+03, 0.00000000e+00, 0.00000000e+00,\n 2.89568117e+03, 2.87641943e+03, 3.31774114e+03, 3.28769314e+03,\n 2.97052595e+03, 3.37595914e+03, 3.26390514e+03, 0.00000000e+00,\n 3.01058998e+03, 3.46547714e+03, 2.97052594e+03, 3.25701914e+03,\n 3.12239523e+03, 3.37658514e+03, 2.93546995e+03, 3.11325395e+03,\n 3.29395314e+03, 2.68267325e+03, 0.00000000e+00, 3.12639995e+03,\n 2.72137704e+03, 2.91606394e+03, 0.00000000e+00, 0.00000000e+00,\n 4.99184169e+03, 5.48715414e+03, 5.11294908e+03, 4.73684022e+03,\n 5.08625868e+03, 5.00533421e+03, 4.99062221e+03, 5.03966222e+03,\n 5.04701819e+03, 5.17697422e+03, 4.90725422e+03, 4.98204022e+03,\n 0.00000000e+00, 4.98081422e+03, 5.32041622e+03, 5.08870222e+03,\n 4.95827736e+03, 4.92564422e+03, 4.93177422e+03, 4.87537830e+03,\n 5.12916020e+03, 5.01146422e+03, 4.94158220e+03, 0.00000000e+00,\n 6.12665793e+03, 5.06786030e+03, 5.14755022e+03, 5.32731889e+03,\n 4.98081422e+03, 5.10954420e+03, 5.24392143e+03, 4.92932230e+03,\n 6.09355593e+03, 4.99552630e+03, 4.88641230e+03, 5.38247046e+03,\n 5.10954422e+03, 5.11444821e+03, 5.04211422e+03, 5.31012536e+03,\n 5.13406422e+03, 4.97591022e+03, 5.09973621e+03, 5.35672446e+03,\n 5.09483221e+03, 5.28486222e+03, 5.24269543e+03, 5.01882022e+03,\n 5.38861889e+03, 5.40330143e+03, 5.35306489e+03, 5.13161130e+03,\n 5.42785089e+03, 5.33464543e+03, 5.09728421e+03, 5.36900289e+03,\n 5.40823489e+03, 5.15735821e+03, 5.36039120e+03, 5.11935221e+03,\n 0.00000000e+00, 0.00000000e+00, 5.38861889e+03, 5.13852971e+03,\n 5.97953793e+03, 5.92068993e+03, 5.29712220e+03, 6.09355593e+03,\n 5.87410193e+03, 0.00000000e+00, 5.37558626e+03, 6.26887393e+03,\n 5.29712222e+03, 5.86061593e+03, 6.28235993e+03, 6.09478193e+03,\n 5.22846620e+03, 5.57665020e+03, 5.93294993e+03, 5.19536430e+03,\n 0.00000000e+00, 5.60239620e+03, 4.80917475e+03, 5.19046022e+03,\n 0.00000000e+00, 0.00000000e+00, -4.74097442e+03, 1.33761840e-06,\n -3.42839051e+03, 8.89191201e-04, -6.03696774e-04, -4.32859111e-06,\n 3.34168836e-07, 3.16574430e-06, -3.16805436e+01, -5.20868070e+01,\n -6.34930013e+01, 2.44816407e-04, -1.11564459e+02, -1.16000286e+02,\n -1.09680632e+02, -1.14577167e+02, 7.37294592e-05, -3.78958873e-04,\n -3.43908604e+01, -7.41541796e+01, -2.67299973e+01, -1.16000662e+02,\n -1.87015802e+01, -6.94848098e+01, -5.79988603e+01, -5.80015449e+01,\n -3.86244904e+00, 1.18355997e-06, -5.80000677e+01, -5.80002426e+01,\n -3.51481917e+00, -5.79991604e+01, -1.15993749e+02, -1.16001788e+02,\n -1.18909605e+01, -7.55144219e-05, -1.16007974e+02, -1.15999154e+02,\n -1.27533700e+01, -1.16000502e+02, 2.46860075e-04, 3.27005900e-02,\n -3.86343515e-05, 8.89191201e-04, -6.03696774e-04, 8.53908789e+01,\n 1.31953512e+02, 4.39058489e+01]), y=array([ 1.90904227e+02, 2.51033893e+01, 3.11062594e+01, ...,\n -7.50374823e-17, 0.00000000e+00, 0.00000000e+00], shape=(1506,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1506,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-1798715.0287694708, prim_res=0.04713031948045909, dual_res=0.0007344691365049604, iter=2550, rho_updates=2, rho_estimate=0.0001727195420492436, setup_time=0.000844291, solve_time=0.0450965, update_time=0.0, polish_time=0.000155083, run_time=0.046095873999999995))""}}, ""problem_class"": ""LP""}" +3146,cvxpy_cvxopt,unknown,NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:36,0.07553791999816895,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3147,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:37,0.06454682350158691,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3148,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:37,0.029382944107055664,OPTIMAL,1797001.3469677924,1798714.7004453922,-1713.3534775997978,0.9513121041915207,4.589964635736426e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1798714.7004453922, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3149,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:38,0.014221668243408203,OPTIMAL,1798714.7004453924,1798714.7004453924,0.0,1.390086425083479e-16,4.557918960472389e-21,270,"{""solver_solve_time"": 0.004160916432738304, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1798714.7004453924, ""solver_stats"": {""solve_time"": 0.004160916432738304, ""num_iters"": 270, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3150,scipy_linprog,scipy-1.15.3,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:39,0.035330772399902344,OPTIMAL,1909055.2113891314,,,0.0,,689,"{""solver_solve_time"": 0.035330772399902344, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1909055.2113891314, ""scipy_nit"": 689, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3151,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:40,0.04206490516662598,OPTIMAL,1909055.212256987,1909055.2113347067,0.0009222803637385368,2.435350702975491e-09,4.6377972299980025e-17,19,"{""solver_solve_time"": 0.023197164, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1909055.2113347067, ""solver_stats"": {""solve_time"": 0.023197164, ""num_iters"": 19, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3152,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:41,0.33757591247558594,OPTIMAL,1909057.4790497075,1909055.345101215,2.13394849258475,8.233401641686219e-06,7.680053148320857e-11,3675,"{""solver_solve_time"": 0.318054833, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1909055.345101215, ""solver_stats"": {""solve_time"": 0.318054833, ""setup_time"": 0.00335, ""num_iters"": 3675, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 5.29245203e+03 5.74215087e+03\n 5.37115756e+03 5.07507146e+03 5.38471556e+03 5.31378146e+03\n 5.30070146e+03 5.34430146e+03 5.35084146e+03 5.46638146e+03\n 5.22658146e+03 5.29307146e+03 0.00000000e+00 5.29198146e+03\n 5.59391146e+03 5.38790146e+03 5.13720146e+03 5.24293146e+03\n 5.24838146e+03 5.19824146e+03 5.42387146e+03 5.31923146e+03\n 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0.00000000e+00 0.00000000e+00 7.08973026e+03 6.93861141e+03\n 7.41819126e+03 7.17964771e+03 7.21233021e+03 7.45689924e+03\n 7.07319830e+03 0.00000000e+00 7.51934521e+03 7.85134653e+03\n 7.45596072e+03 7.01629461e+03 8.13766227e+03 7.48974983e+03\n 7.35042873e+03 7.50088967e+03 7.04476246e+03 7.20152119e+03\n 0.00000000e+00 7.19735902e+03 6.92465348e+03 7.21711825e+03\n 0.00000000e+00 0.00000000e+00 -2.18892730e+04 3.00628356e-05\n 4.13045747e-04 -1.07968271e+04 -8.30928607e-04 2.57531907e-05\n 6.93041643e-06 8.27811098e-06 -3.10942076e+01 -7.79996752e+01\n -5.15347934e+01 -5.78493887e-07 -7.76690924e+01 -3.66393490e+01\n -3.35809605e+01 -7.80004964e+01 7.21267888e-05 -1.33439122e-04\n -7.70419863e+01 -3.94613241e-04 -7.68107697e+01 -7.66689358e+01\n -7.52848880e+01 -7.70486082e+01 -1.24413521e+01 -1.43548154e-04\n -7.38677310e+01 -6.18764243e+01 -7.56211476e+01 -7.45992830e+01\n -7.38261528e+01 -4.36726190e+01 -8.53136952e+01 -8.59423363e+01\n -6.25422241e+01 -7.04104178e+01 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6.65659413e+03 6.71167498e+03 6.72162747e+03 6.70654590e+03\n 6.86536290e+03 6.73131693e+03 6.70095109e+03 7.94140480e+03\n 6.88739109e+03 6.73603072e+03 6.76956246e+03 6.71430729e+03\n 6.73729827e+03 6.88966156e+03 6.67494015e+03 6.76148770e+03\n 6.94437838e+03 6.83670437e+03 6.77127308e+03 6.72195040e+03\n 6.68555953e+03 6.66111605e+03 6.70367776e+03 6.68967363e+03\n 6.71235105e+03 6.67875876e+03 6.67307947e+03 6.69937354e+03\n 6.72058690e+03 6.79551038e+03 6.68866931e+03 6.66411982e+03\n 6.77220435e+03 6.76687184e+03 6.74439528e+03 6.82077799e+03\n 6.79461923e+03 6.74999969e+03 6.73245641e+03 6.76331674e+03\n 6.73370158e+03 6.68624628e+03 6.71252066e+03 6.72963861e+03\n 0.00000000e+00 0.00000000e+00 6.75375298e+03 6.82149388e+03\n 6.89854490e+03 6.94231072e+03 6.88111913e+03 7.06681381e+03\n 6.91721135e+03 0.00000000e+00 6.99919155e+03 7.07864593e+03\n 6.88619662e+03 6.91642759e+03 7.02132427e+03 6.97299799e+03\n 6.86355206e+03 7.12582530e+03 6.96869393e+03 6.83968849e+03\n 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4.87828052e+03 5.01562052e+03 0.00000000e+00 4.94368052e+03\n 5.11422124e+03 4.79435053e+03 0.00000000e+00 0.00000000e+00\n 6.49088341e+03 6.48992325e+03 6.48193428e+03 6.44739455e+03\n 6.47521583e+03 6.52938218e+03 6.40076092e+03 6.43868985e+03\n 6.51204363e+03 6.58541561e+03 6.46057646e+03 6.44083138e+03\n 0.00000000e+00 6.49278450e+03 6.60380802e+03 6.52047542e+03\n 6.39270444e+03 6.50618779e+03 6.51473610e+03 6.49010971e+03\n 6.79194933e+03 6.54920694e+03 6.50116976e+03 8.64510250e+03\n 6.82445595e+03 6.57863613e+03 6.63943013e+03 6.52410912e+03\n 6.55855544e+03 6.82503790e+03 6.46056196e+03 6.58223814e+03\n 6.92813288e+03 6.69908470e+03 6.57101794e+03 6.52046808e+03\n 6.48146947e+03 6.43490065e+03 6.51008088e+03 6.48523221e+03\n 6.52131324e+03 6.46446316e+03 6.42953915e+03 6.49539798e+03\n 6.55056617e+03 6.66998292e+03 6.48890616e+03 6.44817972e+03\n 6.61733595e+03 6.62459217e+03 6.56366741e+03 6.51102071e+03\n 6.65730262e+03 6.59225594e+03 6.56700992e+03 6.59698533e+03\n 6.57194062e+03 6.43748961e+03 6.53739659e+03 6.55320305e+03\n 0.00000000e+00 0.00000000e+00 6.59476982e+03 6.55143628e+03\n 6.84735883e+03 6.86139165e+03 6.78833670e+03 7.08988460e+03\n 6.80391643e+03 0.00000000e+00 7.01594263e+03 7.16566091e+03\n 6.82968675e+03 6.79065865e+03 7.10391920e+03 6.96591047e+03\n 6.78572419e+03 7.17685979e+03 6.88190174e+03 6.73791544e+03\n 0.00000000e+00 6.99505921e+03 6.47021265e+03 6.68467258e+03\n 0.00000000e+00 0.00000000e+00 -2.18263366e+04 1.55785474e-08\n -1.92926689e-07 -1.07830104e+04 -1.32949243e-07 1.62333906e-08\n 1.31306073e-08 1.22486227e-08 -5.65781570e+01 -7.79999991e+01\n -5.81771924e+01 -5.63266464e-07 -6.81039217e+01 -6.54019666e+01\n -6.18175049e+01 -7.79999994e+01 -1.40197170e-06 -6.83591285e-07\n -5.17169162e+01 -2.09320484e-07 -6.18705231e+01 -6.95879555e+01\n -7.25910266e+01 -7.19230732e+01 -3.50239895e+01 -2.69228011e-06\n -4.94310859e+01 -5.22526699e+01 -5.40219982e+01 -6.97426172e+01\n -6.54186326e+01 -5.60942648e+01 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1.29640963e+02 6.89853559e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": -1909055.21133479, ""dcost"": -1909055.2122689304, ""pres"": 4.82181983994533e-12, ""dres"": 9.037743183745271e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.21463437695854548, ""gap"": 0.0037144525939279797, ""relgap"": 1.945702026779454e-09, ""r0"": 1e-08, ""iter"": 19, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.017218332, ""tsetup"": 0.002215416, ""tsolve"": 0.015002916}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3154,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:42,0.1505870819091797,OPTIMAL,1909055.839336589,1909061.8633382074,-6.02400161838159,1.4829104752774742e-05,1.3381021245514312e-10,2600,"{""solver_solve_time"": 0.13494654100000003, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1909061.8633382074, ""solver_stats"": {""solve_time"": 0.13494654100000003, ""num_iters"": 2600, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.28057075e+03, 5.74121436e+03,\n 5.42004547e+03, 5.07421144e+03, 5.38189833e+03, 5.31292143e+03,\n 5.29984143e+03, 5.34344140e+03, 5.34998139e+03, 5.46552140e+03,\n 5.22572140e+03, 5.29221140e+03, 0.00000000e+00, 5.29112140e+03,\n 5.59305140e+03, 5.38704140e+03, 5.13634139e+03, 5.24207140e+03,\n 5.24752140e+03, 5.19738137e+03, 5.42301137e+03, 5.31837140e+03,\n 5.25624137e+03, 6.88770603e+03, 5.45353140e+03, 5.36850987e+03,\n 5.43936140e+03, 5.39576143e+03, 5.29112140e+03, 5.40557137e+03,\n 5.34998140e+03, 5.24534137e+03, 5.55926137e+03, 5.30420137e+03,\n 5.20719137e+03, 5.47751140e+03, 5.40557140e+03, 5.40993143e+03,\n 5.34562140e+03, 5.39794140e+03, 5.42737140e+03, 5.28676140e+03,\n 5.39685143e+03, 5.41429140e+03, 5.39249143e+03, 5.56144140e+03,\n 5.37287140e+03, 5.32491140e+03, 5.48950143e+03, 5.47206139e+03,\n 5.44263139e+03, 5.40354128e+03, 5.52329143e+03, 5.44808140e+03,\n 5.39467143e+03, 5.47206143e+03, 5.32927143e+03, 5.44808143e+03,\n 5.34017143e+03, 5.41429143e+03, 0.00000000e+00, 0.00000000e+00,\n 5.47642143e+03, 5.40112569e+03, 5.49713137e+03, 5.68025137e+03,\n 5.57234137e+03, 5.83939137e+03, 5.75219137e+03, 0.00000000e+00,\n 5.64210037e+03, 5.69551137e+03, 5.57234140e+03, 5.76854137e+03,\n 6.42300035e+03, 5.76091140e+03, 5.51130137e+03, 5.82086137e+03,\n 5.85901134e+03, 5.47810217e+03, 0.00000000e+00, 5.84375137e+03,\n 5.13851125e+03, 5.47751140e+03, 0.00000000e+00, 0.00000000e+00,\n 5.07126334e+03, 4.80875171e+03, 5.20827176e+03, 5.06568307e+03,\n 5.37392387e+03, 5.31802350e+03, 5.09730350e+03, 5.15310334e+03,\n 5.24238329e+03, 5.00467172e+03, 5.20270334e+03, 5.18038334e+03,\n 0.00000000e+00, 5.24734334e+03, 5.00591172e+03, 5.15595172e+03,\n 5.13636332e+03, 5.25651814e+03, 5.26284337e+03, 5.20580361e+03,\n 5.26507194e+03, 5.34344337e+03, 5.27276361e+03, 6.85190151e+03,\n 5.33823172e+03, 5.40048458e+03, 5.16091172e+03, 5.37258350e+03,\n 5.31244337e+03, 5.34939194e+03, 5.20890334e+03, 5.26036361e+03,\n 5.30475194e+03, 5.32732361e+03, 5.21696361e+03, 5.32546334e+03,\n 5.18534334e+03, 5.11131144e+03, 5.22911172e+03, 5.27586334e+03,\n 5.18075172e+03, 5.18286334e+03, 5.26842350e+03, 5.26842334e+03,\n 5.28454350e+03, 5.14727172e+03, 5.20766334e+03, 5.18906334e+03,\n 5.47215144e+03, 5.37010329e+03, 5.48294329e+03, 5.15502984e+03,\n 5.51642350e+03, 5.30066334e+03, 5.40271144e+03, 5.51828308e+03,\n 5.35584308e+03, 5.43582350e+03, 5.32670350e+03, 5.39490350e+03,\n 0.00000000e+00, 0.00000000e+00, 5.40110350e+03, 5.30550951e+03,\n 5.18943194e+03, 5.12991194e+03, 5.09643194e+03, 5.30475194e+03,\n 5.08279194e+03, 0.00000000e+00, 5.61686307e+03, 5.48207194e+03,\n 5.26135172e+03, 5.06915194e+03, 5.49571285e+03, 5.30599172e+03,\n 5.14603194e+03, 5.35683194e+03, 5.14231211e+03, 5.29855194e+03,\n 0.00000000e+00, 5.21671194e+03, 5.10109070e+03, 5.04683172e+03,\n 0.00000000e+00, 0.00000000e+00, 5.24147525e+03, 5.41019434e+03,\n 5.53512196e+03, 5.46006156e+03, 5.52700418e+03, 5.48730747e+03,\n 5.28125853e+03, 5.33705844e+03, 5.42633846e+03, 5.56149844e+03,\n 5.38665844e+03, 5.36433844e+03, 0.00000000e+00, 5.41259654e+03,\n 5.60735436e+03, 5.45113844e+03, 5.43108250e+03, 5.45739801e+03,\n 5.47924053e+03, 5.48476702e+03, 5.75493837e+03, 5.47924053e+03,\n 5.48476702e+03, 5.24417794e+03, 5.47924053e+03, 5.51870293e+03,\n 5.54537844e+03, 5.48730747e+03, 5.53173844e+03, 5.48476702e+03,\n 5.39285844e+03, 5.48476702e+03, 5.86653837e+03, 5.48476702e+03,\n 5.48476702e+03, 5.50941844e+03, 5.36929844e+03, 5.42385853e+03,\n 5.41641844e+03, 5.45981844e+03, 5.49825844e+03, 5.36681844e+03,\n 5.45237853e+03, 5.45237844e+03, 5.46849853e+03, 5.55901844e+03,\n 5.39161844e+03, 5.37301844e+03, 5.48730747e+03, 5.49320051e+03,\n 5.49320051e+03, 5.38326466e+03, 5.48730747e+03, 5.48461844e+03,\n 5.59993853e+03, 5.48730747e+03, 5.48730747e+03, 5.61977853e+03,\n 5.48730747e+03, 5.48730747e+03, 0.00000000e+00, 0.00000000e+00,\n 5.48730747e+03, 5.49136573e+03, 5.79088673e+03, 5.73135471e+03,\n 5.69787471e+03, 5.90619471e+03, 5.68423471e+03, 0.00000000e+00,\n 5.80081812e+03, 5.98309837e+03, 5.73881844e+03, 5.67059471e+03,\n 6.09715628e+03, 5.82809844e+03, 5.74747471e+03, 5.95827471e+03,\n 5.74375502e+03, 5.48476702e+03, 0.00000000e+00, 5.81815471e+03,\n 5.46218651e+03, 5.63217844e+03, 0.00000000e+00, 0.00000000e+00,\n 2.52500052e+02, 2.52499493e+02, 2.52535127e+02, 2.52725310e+02,\n 2.52537225e+02, 2.52539974e+02, 2.52539974e+02, 2.52538497e+02,\n 2.52539762e+02, 2.52538497e+02, 2.52538497e+02, 2.52538497e+02,\n 0.00000000e+00, 2.52538497e+02, 2.52538497e+02, 2.52538497e+02,\n 2.52539762e+02, 2.52538497e+02, 2.52538497e+02, 2.52538004e+02,\n 2.52538004e+02, 2.52538497e+02, 2.52538004e+02, 2.49379901e+02,\n 2.52538497e+02, 2.52602124e+02, 2.52538497e+02, 2.52539974e+02,\n 2.52538497e+02, 2.52538004e+02, 2.52538497e+02, 2.52538004e+02,\n 2.52538004e+02, 2.52538004e+02, 2.52538004e+02, 2.52538497e+02,\n 2.52538497e+02, 2.52539974e+02, 2.52538497e+02, 2.52538497e+02,\n 2.52538497e+02, 2.52538497e+02, 2.52539974e+02, 2.52538497e+02,\n 2.52539974e+02, 2.52538497e+02, 2.52538497e+02, 2.52538497e+02,\n 2.52539974e+02, 2.52539762e+02, 2.52539762e+02, 2.52533569e+02,\n 2.52539974e+02, 2.52538497e+02, 2.52539974e+02, 2.52539974e+02,\n 2.52539974e+02, 2.52539974e+02, 2.52539974e+02, 2.52539974e+02,\n 0.00000000e+00, 0.00000000e+00, 2.52539974e+02, 2.52532667e+02,\n 2.52538004e+02, 2.52538004e+02, 2.52538004e+02, 2.52538004e+02,\n 2.52538004e+02, 0.00000000e+00, 2.52545400e+02, 2.52538004e+02,\n 2.52538497e+02, 2.52538004e+02, 2.49379386e+02, 2.52538497e+02,\n 2.52538004e+02, 2.52538004e+02, 2.52537542e+02, 2.52538004e+02,\n 0.00000000e+00, 2.52538004e+02, 2.52535127e+02, 2.52538497e+02,\n 0.00000000e+00, 0.00000000e+00, 4.99535654e+03, 4.64846464e+03,\n 5.26755408e+03, 5.01178632e+03, 5.40649793e+03, 5.33651419e+03,\n 5.07284016e+03, 5.14708956e+03, 5.26588950e+03, 4.90916466e+03,\n 5.21308956e+03, 5.18338956e+03, 0.00000000e+00, 5.27248956e+03,\n 4.91081466e+03, 5.11046466e+03, 5.10583678e+03, 5.24411466e+03,\n 5.27413684e+03, 5.19823726e+03, 5.25566506e+03, 5.38138684e+03,\n 5.28733726e+03, 5.02765608e+03, 5.35301466e+03, 5.45728926e+03,\n 5.11706466e+03, 5.43914016e+03, 5.34013684e+03, 5.36786506e+03,\n 5.22133956e+03, 5.27083726e+03, 5.30846506e+03, 5.35993726e+03,\n 5.21308726e+03, 5.37643956e+03, 5.18998956e+03, 5.05106419e+03,\n 5.20781466e+03, 5.27216466e+03, 5.14346466e+03, 5.18668956e+03,\n 5.30037647e+03, 5.27381466e+03, 5.32199016e+03, 5.09891466e+03,\n 5.21968956e+03, 5.19493956e+03, 5.53121419e+03, 5.43583950e+03,\n 5.55596460e+03, 5.14346423e+03, 5.63054016e+03, 5.34343956e+03,\n 5.43881419e+03, 5.60381419e+03, 5.39788635e+03, 5.50811419e+03,\n 5.37809016e+03, 5.46884016e+03, 0.00000000e+00, 0.00000000e+00,\n 5.46356419e+03, 5.34394065e+03, 5.15501506e+03, 5.07581506e+03,\n 5.03126506e+03, 5.30846506e+03, 5.01311506e+03, 0.00000000e+00,\n 5.76418911e+03, 5.54441506e+03, 5.25071466e+03, 4.99496506e+03,\n 5.56256690e+03, 5.31011466e+03, 5.09726506e+03, 5.37776506e+03,\n 5.09231536e+03, 5.30021506e+03, 0.00000000e+00, 5.19131506e+03,\n 5.08511455e+03, 4.96526466e+03, 0.00000000e+00, 0.00000000e+00,\n 4.80042636e+03, 5.02340604e+03, 4.89175997e+03, 4.54483893e+03,\n 4.89516942e+03, 4.81420892e+03, 4.79944892e+03, 4.84864892e+03,\n 4.85602891e+03, 4.98640892e+03, 4.71580892e+03, 4.79083892e+03,\n 0.00000000e+00, 4.78960892e+03, 5.13031892e+03, 4.89784892e+03,\n 4.61494891e+03, 4.73425892e+03, 4.74040892e+03, 4.68382891e+03,\n 4.93843891e+03, 4.82035892e+03, 4.75024891e+03, 4.86627283e+03,\n 4.97287892e+03, 4.87693850e+03, 4.95688892e+03, 4.90768892e+03,\n 4.78960892e+03, 4.91875891e+03, 4.85602892e+03, 4.73794891e+03,\n 5.09218891e+03, 4.80436891e+03, 4.69489891e+03, 4.99993892e+03,\n 4.91875892e+03, 4.92367892e+03, 4.85110892e+03, 4.91014892e+03,\n 4.94335892e+03, 4.78468892e+03, 4.90891892e+03, 4.92859892e+03,\n 4.90399892e+03, 5.09464892e+03, 4.88185892e+03, 4.82773892e+03,\n 5.01346892e+03, 4.99378891e+03, 4.96057891e+03, 4.88526832e+03,\n 5.05159892e+03, 4.96672892e+03, 4.90645892e+03, 4.99378892e+03,\n 4.83265892e+03, 4.96672892e+03, 4.84495892e+03, 4.92859892e+03,\n 0.00000000e+00, 0.00000000e+00, 4.99870892e+03, 4.91217857e+03,\n 5.02207891e+03, 5.22871891e+03, 5.10694891e+03, 5.40829891e+03,\n 5.30989891e+03, 0.00000000e+00, 5.18566891e+03, 5.24593891e+03,\n 5.10694892e+03, 5.32834891e+03, 5.08621308e+03, 5.31973892e+03,\n 5.03806891e+03, 5.38738891e+03, 5.43043890e+03, 4.99054975e+03,\n 0.00000000e+00, 5.41321891e+03, 4.61737969e+03, 4.99993892e+03,\n 0.00000000e+00, 0.00000000e+00, 4.90856690e+03, 4.58401518e+03,\n 5.02246801e+03, 5.13318768e+03, 5.11912833e+03, 5.03942067e+03,\n 4.90317067e+03, 4.99473064e+03, 5.00236056e+03, 4.75711064e+03,\n 5.10205134e+03, 4.95440064e+03, 0.00000000e+00, 5.03397064e+03,\n 4.75820064e+03, 4.89009064e+03, 5.13534056e+03, 4.97838064e+03,\n 5.25683134e+03, 5.20996181e+03, 4.98601053e+03, 5.21491064e+03,\n 5.17458053e+03, 4.97477201e+03, 5.05032064e+03, 5.50551363e+03,\n 4.89445064e+03, 5.20510067e+03, 5.09065064e+03, 5.06013053e+03,\n 4.96748064e+03, 5.10591053e+03, 5.02089053e+03, 5.29884053e+03,\n 5.06994053e+03, 5.07321064e+03, 4.95767064e+03, 4.85085067e+03,\n 4.95440064e+03, 4.99691064e+03, 4.91189064e+03, 5.03615064e+03,\n 5.01544067e+03, 4.99800064e+03, 5.06013067e+03, 4.88246064e+03,\n 4.99146064e+03, 4.95440064e+03, 5.16804067e+03, 5.24920126e+03,\n 5.18439056e+03, 4.91188664e+03, 5.27813067e+03, 5.06994064e+03,\n 5.10700067e+03, 5.21600067e+03, 5.15169067e+03, 5.15278067e+03,\n 5.12771067e+03, 5.18439067e+03, 0.00000000e+00, 0.00000000e+00,\n 5.12335067e+03, 5.13635481e+03, 4.91952053e+03, 4.86720053e+03,\n 4.83777053e+03, 5.02089053e+03, 4.82578053e+03, 0.00000000e+00,\n 5.41607270e+03, 5.17676053e+03, 4.98274064e+03, 4.81379053e+03,\n 4.57471846e+03, 5.02198064e+03, 4.88137053e+03, 5.06667053e+03,\n 4.87810049e+03, 5.01544053e+03, 0.00000000e+00, 4.94350053e+03,\n 5.10138994e+03, 4.79417064e+03, 0.00000000e+00, 0.00000000e+00,\n 2.73104312e+02, 2.73103790e+02, 2.73139928e+02, 2.73495051e+02,\n 2.73141785e+02, 2.73141559e+02, 2.73141559e+02, 2.73139420e+02,\n 2.73140968e+02, 2.73139420e+02, 2.73139420e+02, 2.73139420e+02,\n 0.00000000e+00, 2.73139420e+02, 2.73139420e+02, 2.73139420e+02,\n 2.73140968e+02, 2.73139420e+02, 2.73139420e+02, 2.73138375e+02,\n 2.73138375e+02, 2.73139420e+02, 2.73138375e+02, 2.70022246e+02,\n 2.73139420e+02, 2.73187026e+02, 2.73139420e+02, 2.73141559e+02,\n 2.73139420e+02, 2.73138375e+02, 2.73139420e+02, 2.73138375e+02,\n 2.73138375e+02, 2.73138375e+02, 2.73138375e+02, 2.73139420e+02,\n 2.73139420e+02, 2.73141559e+02, 2.73139420e+02, 2.73139420e+02,\n 2.73139420e+02, 2.73139420e+02, 2.73141559e+02, 2.73139420e+02,\n 2.73141559e+02, 2.73139420e+02, 2.73139420e+02, 2.73139420e+02,\n 2.73141559e+02, 2.73140968e+02, 2.73140968e+02, 2.73140195e+02,\n 2.73141559e+02, 2.73139420e+02, 2.73141559e+02, 2.73141559e+02,\n 2.73141559e+02, 2.73141559e+02, 2.73141559e+02, 2.73141559e+02,\n 0.00000000e+00, 0.00000000e+00, 2.73141559e+02, 2.73143212e+02,\n 2.73138375e+02, 2.73138375e+02, 2.73138375e+02, 2.73138375e+02,\n 2.73138375e+02, 0.00000000e+00, 2.73146667e+02, 2.73138375e+02,\n 2.73139420e+02, 2.73138375e+02, 2.70021760e+02, 2.73139420e+02,\n 2.73138375e+02, 2.73138375e+02, 2.73137323e+02, 2.73138375e+02,\n 0.00000000e+00, 2.73138375e+02, 2.73139928e+02, 2.73139420e+02,\n 0.00000000e+00, 0.00000000e+00, -2.18389958e+04, -2.47507601e-06,\n -1.26050967e-03, -1.07566540e+04, 3.32264199e-03, 8.44143815e-05,\n -4.33518521e-05, -1.65925959e-05, -4.18952806e+01, -7.79260422e+01,\n -4.15225787e+01, 1.58099818e-03, -6.47602403e+01, -2.91767646e+01,\n -2.37069809e+01, -7.79903361e+01, 1.85486092e-03, -1.14130515e-03,\n -7.27901975e+01, -1.51275480e-03, -7.09809576e+01, -7.23611828e+01,\n -7.19989744e+01, -7.70590444e+01, -1.37422593e+01, -1.95455529e-03,\n -5.08198418e+01, -7.29787741e+01, -7.71039104e+01, -6.25864130e+01,\n -5.24627842e+01, -7.21688988e+01, -2.40945356e-03, -2.44808590e-03,\n -5.18566149e-03, -3.03252072e+00, -3.10284853e-03, -7.89187190e-03,\n -1.76686794e-02, -5.18566084e-03, -4.28281511e+01, -2.28186369e-03,\n -2.90732529e+01, -2.96086896e-03, -7.56464555e+01, -7.48043117e+01,\n -7.60621385e+01, -7.69004093e+01, -7.78771961e+01, -7.76301453e+01,\n -6.94259461e+01, 4.25620637e-04, -7.78869025e+01, -4.75761425e+01,\n -2.07402662e+01, -7.79718688e+01, -7.79479202e+01, -8.75004037e-01,\n -2.00261148e+01, -7.80259320e+01, -5.04285189e+01, -7.79963049e+01,\n -3.37133116e+01, -6.41001404e+01, -1.93244817e-03, -1.96343720e-03,\n -3.60892058e-03, -2.80854457e+00, -1.85812726e-03, -5.50841591e-03,\n -1.33418198e-02, -3.60892170e-03, 8.45145893e-04, 4.90209562e+00,\n -1.26050967e-03, -1.21698643e-03, 3.32264199e-03, 2.42678389e+01,\n 7.27675202e+01, 9.14408264e-01]), y=array([ 5.25998152e-02, 5.13203384e+01, 3.00993954e+01, ...,\n 0.00000000e+00, 0.00000000e+00, -8.93715251e-21], shape=(4363,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(4363,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 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2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-1909061.8633382064, prim_res=0.15955166136620846, dual_res=0.0006713212243752099, iter=2600, rho_updates=3, rho_estimate=1.2336192978628816e-05, setup_time=0.002506625, solve_time=0.132175958, update_time=0.0, polish_time=0.000263958, run_time=0.13494654100000003))""}}, ""problem_class"": ""LP""}" +3155,cvxpy_cvxopt,unknown,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:44,0.2043299674987793,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3156,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:44,0.1684880256652832,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3157,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:45,0.10445404052734375,OPTIMAL,1908901.8119481318,1909055.2113891314,-153.3994409996085,0.9706546563745053,2.280450959143422e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1909055.2113891314, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3158,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:46,0.029561996459960938,OPTIMAL,1909055.2113891316,1909055.2113891314,2.3283064365386963e-10,3.2398564917582244e-16,2.5762830895083962e-21,606,"{""solver_solve_time"": 0.0113705825060606, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1909055.2113891314, ""solver_stats"": {""solve_time"": 0.0113705825060606, ""num_iters"": 606, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3159,scipy_linprog,scipy-1.15.3,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:47,0.021656036376953125,OPTIMAL,1920098.210534619,,,0.0,,373,"{""solver_solve_time"": 0.021656036376953125, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1920098.210534619, ""scipy_nit"": 373, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3160,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:48,0.02022409439086914,OPTIMAL,1920098.211990188,1920098.2103749993,0.0016151887830346823,4.251192643582564e-09,2.1390647061723068e-16,16,"{""solver_solve_time"": 0.010246707, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1920098.2103749993, ""solver_stats"": {""solve_time"": 0.010246707, ""num_iters"": 16, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3161,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:54,6.116328954696655,OPTIMAL (INACCURATE),1916630.5068703538,1920448.893474151,-3818.3866037970874,0.005204701253078693,2.6266380207058147e-08,100000,"{""solver_solve_time"": 6.103063375, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 1920448.893474151, ""solver_stats"": {""solve_time"": 6.103063375, ""setup_time"": 0.0018185830000000001, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 5.38134599e+03 5.84408168e+03\n 5.49072152e+03 5.17768583e+03 5.48656136e+03 5.66414376e+03\n 5.40334441e+03 5.44694163e+03 5.59765334e+03 5.56902259e+03\n 5.56277278e+03 5.54315306e+03 0.00000000e+00 5.60198996e+03\n 5.69655092e+03 5.49054162e+03 5.34872285e+03 5.34551091e+03\n 5.35102234e+03 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9.28868714e-10]"", ""s"": ""[9.43186914e-09 1.32264373e-09 2.01994781e-09 ... 1.76854130e+02\n 1.23699886e+02 6.07066159e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": -1920098.2105179944, ""dcost"": -1920098.210686005, ""pres"": 1.129629134231666e-12, ""dres"": 1.4964632870674598e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.1768331988471318, ""gap"": 0.0008036017049559712, ""relgap"": 4.185211467590398e-10, ""r0"": 1e-08, ""iter"": 17, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.008185458, ""tsetup"": 0.000796375, ""tsolve"": 0.007389083}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3163,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:56,0.32967519760131836,OPTIMAL (INACCURATE),1920163.104584028,1920104.9642216174,58.14036241057329,2.705040506909072e-05,6.151263764337778e-10,10000,"{""solver_solve_time"": 0.31931470700000003, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 1920104.9642216174, ""solver_stats"": {""solve_time"": 0.31931470700000003, ""num_iters"": 10000, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.34653997e+03, 5.82241349e+03,\n 5.49613565e+03, 5.15533015e+03, 5.46600587e+03, 5.63681393e+03,\n 5.38096013e+03, 5.42456015e+03, 5.57032393e+03, 5.54664015e+03,\n 5.53544393e+03, 5.51582393e+03, 0.00000000e+00, 5.57468307e+03,\n 5.67417015e+03, 5.46816015e+03, 5.32709399e+03, 5.32319018e+03,\n 5.32864015e+03, 5.27850015e+03, 5.50413015e+03, 5.39949018e+03,\n 5.33736018e+03, 6.98514393e+03, 6.36584655e+03, 5.44963018e+03,\n 5.87643149e+03, 5.65521127e+03, 5.37224018e+03, 5.48669018e+03,\n 5.54089393e+03, 5.32646018e+03, 5.64038015e+03, 5.38532015e+03,\n 5.28831018e+03, 5.70421149e+03, 5.48669015e+03, 5.49105013e+03,\n 5.56160393e+03, 5.47906015e+03, 5.69331149e+03, 5.51800393e+03,\n 5.47797013e+03, 5.68132149e+03, 5.47361013e+03, 5.64256015e+03,\n 5.53980393e+03, 5.52345393e+03, 5.70971127e+03, 5.68259393e+03,\n 5.67810127e+03, 5.50631082e+03, 5.60441013e+03, 5.62155393e+03,\n 5.47579013e+03, 5.69227127e+03, 5.70439259e+03, 5.52920013e+03,\n 5.42129013e+03, 5.49541013e+03, 0.00000000e+00, 0.00000000e+00,\n 5.70971127e+03, 5.49257038e+03, 6.23504655e+03, 6.18272655e+03,\n 6.15329655e+03, 6.33641655e+03, 6.14130655e+03, 0.00000000e+00,\n 5.72322023e+03, 6.49228655e+03, 5.65346015e+03, 6.12931655e+03,\n 6.50427655e+03, 6.33750655e+03, 5.59242015e+03, 5.90198015e+03,\n 6.19362655e+03, 5.56299018e+03, 0.00000000e+00, 5.92487015e+03,\n 5.21965194e+03, 6.10969655e+03, 0.00000000e+00, 0.00000000e+00,\n 5.15245832e+03, 4.86712614e+03, 5.29351408e+03, 5.14971857e+03,\n 5.45576297e+03, 5.39920770e+03, 5.17849896e+03, 5.23429825e+03,\n 5.32356770e+03, 5.06304613e+03, 5.28388770e+03, 5.26156770e+03,\n 0.00000000e+00, 5.32852959e+03, 5.06428613e+03, 5.21432613e+03,\n 5.33423074e+03, 5.34068152e+03, 5.34687860e+03, 5.28983860e+03,\n 5.32344577e+03, 5.42748152e+03, 5.35680152e+03, 6.93308770e+03,\n 5.39660668e+03, 5.48452152e+03, 5.64939213e+03, 5.45376866e+03,\n 5.39648152e+03, 5.52668152e+03, 5.29008770e+03, 5.34440152e+03,\n 5.36312577e+03, 5.41135860e+03, 5.30100152e+03, 5.45347213e+03,\n 5.26653825e+03, 5.16968518e+03, 5.31364770e+03, 5.33584613e+03,\n 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5.71089417e+03, 5.53165905e+03, 5.47193330e+03, 5.61633134e+03,\n 5.57658597e+03, 5.58054443e+03, 5.83545904e+03, 5.61633134e+03,\n 5.61633134e+03, 5.32478917e+03, 5.49784057e+03, 5.61633134e+03,\n 5.88494104e+03, 5.50557501e+03, 5.87626333e+03, 5.61633134e+03,\n 5.47337851e+03, 5.61633134e+03, 5.94705904e+03, 5.58054443e+03,\n 5.61633134e+03, 5.68902104e+03, 5.44981905e+03, 5.50437908e+03,\n 5.49693851e+03, 5.54033905e+03, 5.67662104e+03, 5.44733851e+03,\n 5.53289908e+03, 5.66298104e+03, 5.54901908e+03, 5.63953905e+03,\n 5.47213851e+03, 5.45353851e+03, 5.50557501e+03, 5.32478917e+03,\n 5.50557501e+03, 5.47462005e+03, 5.58229914e+03, 5.56513851e+03,\n 5.68045908e+03, 5.50557501e+03, 5.50557501e+03, 5.70029908e+03,\n 5.58229914e+03, 5.58229914e+03, 0.00000000e+00, 0.00000000e+00,\n 5.50557501e+03, 5.57811640e+03, 5.89385046e+03, 5.83433046e+03,\n 5.80085046e+03, 6.00917046e+03, 5.78721046e+03, 0.00000000e+00,\n 5.88133874e+03, 6.18649046e+03, 5.81933905e+03, 5.77357046e+03,\n 6.20013046e+03, 6.01041046e+03, 5.85044897e+03, 6.06124897e+03,\n 5.84673046e+03, 5.61633134e+03, 0.00000000e+00, 5.92112897e+03,\n 5.55028470e+03, 5.75125046e+03, 0.00000000e+00, 0.00000000e+00,\n 3.31538165e+02, 3.31760831e+02, 3.32831744e+02, 3.33380596e+02,\n 3.32510666e+02, 3.28315411e+02, 3.32890234e+02, 3.32891931e+02,\n 3.28315411e+02, 3.32891931e+02, 3.28315411e+02, 3.28315411e+02,\n 0.00000000e+00, 3.30327115e+02, 3.32891931e+02, 3.32891931e+02,\n 3.30535725e+02, 3.36213269e+02, 3.32891931e+02, 3.32980443e+02,\n 3.32980443e+02, 3.36213269e+02, 3.36213269e+02, 3.28315411e+02,\n 3.28518759e+02, 3.36213269e+02, 3.29027548e+02, 3.30415043e+02,\n 3.36213269e+02, 3.36213269e+02, 3.28315411e+02, 3.36213269e+02,\n 3.32980443e+02, 3.32980443e+02, 3.36213269e+02, 3.29027548e+02,\n 3.32891931e+02, 3.32890234e+02, 3.28315411e+02, 3.32891931e+02,\n 3.29027548e+02, 3.28315411e+02, 3.32890234e+02, 3.29027548e+02,\n 3.32890234e+02, 3.32891931e+02, 3.28315411e+02, 3.28315411e+02,\n 3.30415043e+02, 3.28315411e+02, 3.30415043e+02, 3.32320458e+02,\n 3.32890234e+02, 3.28315411e+02, 3.32890234e+02, 3.30415043e+02,\n 3.30415043e+02, 3.32890234e+02, 3.32890234e+02, 3.32890234e+02,\n 0.00000000e+00, 0.00000000e+00, 3.30415043e+02, 3.32877698e+02,\n 3.28518759e+02, 3.28518759e+02, 3.28518759e+02, 3.28518759e+02,\n 3.28518759e+02, 0.00000000e+00, 3.33039241e+02, 3.28518759e+02,\n 3.32891931e+02, 3.28518759e+02, 3.28518759e+02, 3.28518759e+02,\n 3.32980443e+02, 3.32980443e+02, 3.28518759e+02, 3.36213269e+02,\n 0.00000000e+00, 3.32980443e+02, 3.32777109e+02, 3.28518759e+02,\n 0.00000000e+00, 0.00000000e+00, 5.05169460e+03, 4.68341034e+03,\n 5.30042264e+03, 5.09581589e+03, 5.47409307e+03, 5.44754886e+03,\n 5.15384936e+03, 5.22809933e+03, 5.34689886e+03, 4.94411034e+03,\n 5.29409886e+03, 5.26439886e+03, 0.00000000e+00, 5.35349887e+03,\n 4.94576034e+03, 5.14541034e+03, 5.31570265e+03, 5.34991622e+03,\n 5.35816589e+03, 5.28226600e+03, 5.29061036e+03, 5.46541622e+03,\n 5.37136622e+03, 5.10860976e+03, 5.38796012e+03, 5.54131622e+03,\n 5.69861177e+03, 5.52014889e+03, 5.42416622e+03, 5.59741622e+03,\n 5.30234886e+03, 5.35486622e+03, 5.34341036e+03, 5.44396600e+03,\n 5.29711622e+03, 5.43791177e+03, 5.24771034e+03, 5.08601033e+03,\n 5.33369886e+03, 5.30711034e+03, 5.42141177e+03, 5.26769886e+03,\n 5.33516033e+03, 5.40326177e+03, 5.40290467e+03, 5.13386034e+03,\n 5.30069886e+03, 5.27594886e+03, 5.66204889e+03, 5.51684886e+03,\n 5.66699889e+03, 5.17841109e+03, 5.71154936e+03, 5.42444886e+03,\n 5.47376033e+03, 5.76269889e+03, 5.54984889e+03, 5.54306033e+03,\n 5.45909936e+03, 5.54984936e+03, 0.00000000e+00, 0.00000000e+00,\n 5.55809889e+03, 5.40637783e+03, 5.18996012e+03, 5.11076012e+03,\n 5.06621012e+03, 5.34341012e+03, 5.04806012e+03, 0.00000000e+00,\n 5.84519932e+03, 5.57936012e+03, 5.28566034e+03, 5.02991012e+03,\n 5.59751012e+03, 5.34506012e+03, 5.13221036e+03, 5.41271036e+03,\n 5.12726012e+03, 5.71291622e+03, 0.00000000e+00, 5.22626036e+03,\n 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5.14856733e+03, 5.42324797e+03, 5.06184827e+03, 5.33979827e+03,\n 5.38509797e+03, 5.15074809e+03, 4.99862827e+03, 4.89180827e+03,\n 5.16927733e+03, 5.03786827e+03, 5.13984809e+03, 5.12567733e+03,\n 5.05639827e+03, 5.12785809e+03, 5.10108827e+03, 4.92341827e+03,\n 5.14747733e+03, 5.13112733e+03, 5.38618733e+03, 5.29026733e+03,\n 5.38945733e+03, 4.95284819e+03, 5.31908827e+03, 5.22922733e+03,\n 5.14795827e+03, 5.41452832e+03, 5.31206733e+03, 5.19373827e+03,\n 5.16866827e+03, 5.22534827e+03, 0.00000000e+00, 0.00000000e+00,\n 5.31751733e+03, 5.12922334e+03, 4.96047827e+03, 4.90815827e+03,\n 4.87872827e+03, 5.06184827e+03, 4.86673827e+03, 0.00000000e+00,\n 5.45703809e+03, 5.21771827e+03, 5.02369827e+03, 4.85474827e+03,\n 4.61619976e+03, 5.06293827e+03, 4.92232827e+03, 5.10762827e+03,\n 4.91905827e+03, 5.65977797e+03, 0.00000000e+00, 4.98445827e+03,\n 5.15157906e+03, 4.83512827e+03, 0.00000000e+00, 0.00000000e+00,\n 3.62101761e+02, 3.62319782e+02, 3.63368346e+02, 3.64248457e+02,\n 3.63053325e+02, 3.58885340e+02, 3.63415262e+02, 3.63416850e+02,\n 3.58885340e+02, 3.63416850e+02, 3.58885340e+02, 3.58885340e+02,\n 0.00000000e+00, 3.60883242e+02, 3.63416850e+02, 3.63416850e+02,\n 3.61089653e+02, 3.66653841e+02, 3.63416850e+02, 3.63502663e+02,\n 3.63502663e+02, 3.66653841e+02, 3.66653841e+02, 3.58885340e+02,\n 3.59087688e+02, 3.66653841e+02, 3.59596456e+02, 3.60969309e+02,\n 3.66653841e+02, 3.66653841e+02, 3.58885340e+02, 3.66653841e+02,\n 3.63502663e+02, 3.63502663e+02, 3.66653841e+02, 3.59596456e+02,\n 3.63416850e+02, 3.63415262e+02, 3.58885340e+02, 3.63416850e+02,\n 3.59596456e+02, 3.58885340e+02, 3.63415262e+02, 3.59596456e+02,\n 3.63415262e+02, 3.63416850e+02, 3.58885340e+02, 3.58885340e+02,\n 3.60969309e+02, 3.58885340e+02, 3.60969309e+02, 3.62869634e+02,\n 3.63415262e+02, 3.58885340e+02, 3.63415262e+02, 3.60969309e+02,\n 3.60969309e+02, 3.63415262e+02, 3.63415262e+02, 3.63415262e+02,\n 0.00000000e+00, 0.00000000e+00, 3.60969309e+02, 3.63403615e+02,\n 3.59087688e+02, 3.59087688e+02, 3.59087688e+02, 3.59087688e+02,\n 3.59087688e+02, 0.00000000e+00, 3.63561900e+02, 3.59087688e+02,\n 3.63416850e+02, 3.59087688e+02, 3.59087688e+02, 3.59087688e+02,\n 3.63502663e+02, 3.63502663e+02, 3.59087688e+02, 3.66653841e+02,\n 0.00000000e+00, 3.63502663e+02, 3.63314119e+02, 3.59087688e+02,\n 0.00000000e+00, 0.00000000e+00, -2.64610667e+04, -6.10502756e-05,\n 9.27747152e-03, -9.24746634e+03, 1.39011671e-03, 4.93800158e-05,\n -8.03247113e-05, -1.55003120e-05, -7.33639885e+01, -7.80030427e+01,\n -4.34542953e+01, -1.38809504e-05, -7.80240234e+01, -7.80006602e+01,\n -9.29587301e+00, -7.80108662e+01, 1.06658400e-02, -5.74036769e-04,\n -5.23007638e+01, -2.99903695e-03, -6.75403312e+01, -7.79735659e+01,\n -6.54094437e+01, -7.79389908e+01, -4.45095260e+00, -1.86365090e-03,\n -7.55266690e+01, -7.80021498e+01, -7.60129156e+01, -7.80010096e+01,\n -4.41506979e+01, -6.99504171e+01, -1.01929117e-01, -8.47767160e-02,\n -2.39747083e-03, -6.23958214e+00, -2.60622088e-02, -3.94955408e-02,\n -6.42386502e-04, -2.30305530e-03, -6.75042589e+01, 2.10153766e-04,\n -4.16462519e+01, -3.40107477e-04, -7.19668253e+01, -7.80006872e+01,\n -7.49803707e+01, -7.79936685e+01, -7.79998909e+01, -7.79999197e+01,\n -3.24514213e+01, -6.86606364e-06, -7.79999839e+01, -7.79999735e+01,\n -1.30217821e+01, -7.79999887e+01, -7.79995424e+01, -1.73670267e+01,\n -2.26364414e+01, -7.79998557e+01, -7.80000319e+01, -7.79999193e+01,\n -6.99740384e+01, -6.50709877e+01, -8.12304030e-02, -6.75620142e-02,\n -1.91049339e-03, -5.78066772e+00, -2.07739281e-02, -3.14777360e-02,\n -5.11906236e-04, -1.83776156e-03, -7.42795991e-03, 4.67906270e+00,\n 9.27747152e-03, -1.80955481e-02, 1.39011671e-03, 2.49146522e+01,\n 3.27274889e+01, 1.90197346e+00]), y=array([6.32221244e+00, 4.96196486e+01, 3.16414551e+01, ...,\n 0.00000000e+00, 1.58829930e-17, 0.00000000e+00], shape=(2467,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2467,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved inaccurate', status_val=2, status_polish=0, obj_val=-1920104.9642216195, prim_res=0.5643477948922282, dual_res=0.0022703729329475743, iter=10000, rho_updates=3, rho_estimate=1.4055948618336701e-05, setup_time=0.001193041, solve_time=0.318121666, update_time=0.0, polish_time=0.0, run_time=0.31931470700000003))""}}, ""problem_class"": ""LP""}" +3164,cvxpy_cvxopt,unknown,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:57,0.07447695732116699,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3165,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:58,0.10290098190307617,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3166,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:58,0.053750038146972656,OPTIMAL,1917213.78818602,1920098.2105346196,-2884.422348599648,0.9731007583251243,2.858710367026821e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1920098.2105346196, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3167,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:59,0.015609264373779297,OPTIMAL,1920098.2105346199,1920098.2105346199,0.0,2.382889295682101e-16,3.671292891753744e-21,362,"{""solver_solve_time"": 0.005528334528207779, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1920098.2105346199, ""solver_stats"": {""solve_time"": 0.005528334528207779, ""num_iters"": 362, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3168,scipy_linprog,scipy-1.15.3,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:00,0.058007001876831055,OPTIMAL,1470187.9193292656,,,0.0,,957,"{""solver_solve_time"": 0.058007001876831055, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1470187.9193292656, ""scipy_nit"": 957, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3169,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:01,0.0708010196685791,OPTIMAL,1470187.9195496482,1470187.9193044067,0.0002452414482831955,3.811350953346757e-09,8.26541909069471e-17,25,"{""solver_solve_time"": 0.032168918, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1470187.9193044067, ""solver_stats"": {""solve_time"": 0.032168918, ""num_iters"": 25, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3170,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:07,5.405066967010498,OPTIMAL,1470192.0134998555,1470198.830670236,-6.817170380381867,1.158275587230388e-05,1.6117227134561945e-09,48525,"{""solver_solve_time"": 5.373047541, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1470198.830670236, ""solver_stats"": {""solve_time"": 5.373047541, ""setup_time"": 0.003693291, ""num_iters"": 48525, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0. 0. 0. ... 0.00117238 -0.00062759\n -0.03141048]"", ""y"": ""[135.94549512 63.23750583 41.3340328 ... 3.00006093 1.99984865\n 26.31063643]"", ""s"": ""[0. 0. 0. ... 0. 0. 0.]"", ""info"": {""status_val"": 1, ""iter"": 48525, ""scale_updates"": 3, ""scale"": 0.0009312075069212621, ""pobj"": -1470198.8306702361, ""dobj"": -1470192.0134998555, ""res_pri"": 0.4165042791746312, ""res_dual"": 0.0002247852906862303, ""gap"": 6.817170380421468, ""res_infeas"": NaN, ""res_unbdd_a"": 0.0038287335275382826, ""res_unbdd_p"": 0.0, ""comp_slack"": 8.312070992693411e-13, ""solve_time"": 5373.047541, ""setup_time"": 3.693291, ""lin_sys_time"": 4080.0646530000013, ""cone_time"": 401.67651299996675, ""accel_time"": 165.77565400000853, ""rejected_accel_steps"": 380, ""accepted_accel_steps"": 635, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +3171,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:08,0.05680418014526367,OPTIMAL,1470187.919369239,1470187.9193247212,4.451768472790718e-05,6.920597076373435e-10,1.5030147749802252e-17,28,"{""solver_solve_time"": 0.024727125, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1470187.9193247212, ""solver_stats"": {""solve_time"": 0.024727125, ""setup_time"": 0.002110791, ""num_iters"": 28, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 1.58071415e-09\n 3.11969821e-09 -8.89696931e-10]"", ""y"": ""[]"", ""z"": ""[135.945268 63.61068895 41.33424949 ... 3. 2.\n 26.37230087]"", ""s"": ""[6.90531027e-11 1.45758081e-10 2.24919031e-10 ... 3.07023157e-09\n 4.60921737e-09 3.59201501e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": -1470187.9193247217, ""dcost"": -1470187.9193692328, ""pres"": 1.8752091286561912e-13, ""dres"": 4.9575126413395857e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.10945466990648478, ""gap"": 0.0006491949638487821, ""relgap"": 4.415727780887811e-10, ""r0"": 1e-08, ""iter"": 28, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.026837916, ""tsetup"": 0.002110791, ""tsolve"": 0.024727125}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3172,cvxpy_osqp,unknown,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:10,0.6641809940338135,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3173,cvxpy_cvxopt,unknown,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:11,0.2973289489746094,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3174,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:12,0.22129201889038086,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3175,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:13,0.1413428783416748,OPTIMAL,1469192.8483207007,1470187.919329265,-995.0710085642058,0.630537547329134,9.427218567918873e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1470187.919329265, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3176,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:14,0.04343104362487793,OPTIMAL,1470187.919329265,1470187.9193292647,2.3283064365386963e-10,8.59472174555838e-16,1.079255221689847e-20,755,"{""solver_solve_time"": 0.014505667611956596, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1470187.9193292647, ""solver_stats"": {""solve_time"": 0.014505667611956596, ""num_iters"": 755, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3177,scipy_linprog,scipy-1.15.3,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:15,0.030409812927246094,OPTIMAL,1489236.13440613,,,0.0,,493,"{""solver_solve_time"": 0.030409812927246094, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1489236.13440613, ""scipy_nit"": 493, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3178,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:16,0.03088212013244629,OPTIMAL,1489236.134721056,1489236.134339675,0.0003813810180872679,6.073677673077518e-09,4.828655318961938e-16,22,"{""solver_solve_time"": 0.015357956, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1489236.134339675, ""solver_stats"": {""solve_time"": 0.015357956, ""num_iters"": 22, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3179,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:24,7.456405162811279,OPTIMAL (INACCURATE),1489376.2372620832,1489075.8004335877,300.43682849546894,0.0001794754128689635,2.882815139043947e-08,100000,"{""solver_solve_time"": 7.4379925, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 1489075.8004335877, ""solver_stats"": {""solve_time"": 7.4379925, ""setup_time"": 0.001786333, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... -3.92300391e-02\n -1.10190664e-03 3.49635951e+00]"", ""y"": ""[134.29500975 67.97367507 41.08105785 ... 3.00021298 1.99638341\n 26.73014748]"", ""s"": ""[0. 0. 0. ... 0. 0. 0.]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 3, ""scale"": 0.001221498402157674, ""pobj"": -1489075.8004335877, ""dobj"": -1489376.2372620835, ""res_pri"": 6.818636467104293, ""res_dual"": 0.003616587375638917, ""gap"": 300.43682849570683, ""res_infeas"": NaN, ""res_unbdd_a"": 0.003780207127824957, ""res_unbdd_p"": 0.0, ""comp_slack"": 3.705501332747068e-13, ""solve_time"": 7437.9925, ""setup_time"": 1.786333, ""lin_sys_time"": 5717.346114000429, ""cone_time"": 695.8500410001076, ""accel_time"": 213.23633900006038, ""rejected_accel_steps"": 754, ""accepted_accel_steps"": 1666, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +3180,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:25,0.026041030883789062,OPTIMAL,1489236.1347550284,1489236.1343292487,0.00042577972635626793,6.782509601819285e-09,5.394375304699782e-16,22,"{""solver_solve_time"": 0.010831166, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1489236.1343292487, ""solver_stats"": {""solve_time"": 0.010831166, ""setup_time"": 0.000788458, ""num_iters"": 22, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 3.05341714e-08\n 5.98179062e-08 -1.65826545e-08]"", ""y"": ""[]"", ""z"": ""[134.29410784 67.96919692 41.08182631 ... 3. 2.\n 26.28405608]"", ""s"": ""[1.31991503e-09 2.59183404e-09 4.28589262e-09 ... 5.84546994e-08\n 8.77384588e-08 6.82791666e-09]"", ""info"": {""exitFlag"": 0, ""pcost"": -1489236.1343292466, ""dcost"": -1489236.1347550196, ""pres"": 2.5265384406060206e-12, ""dres"": 4.5529494207927963e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.09035324988382334, ""gap"": 0.0064922169140876895, ""relgap"": 4.3594274705211815e-09, ""r0"": 1e-08, ""iter"": 22, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.011619624, ""tsetup"": 0.000788458, ""tsolve"": 0.010831166}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3181,cvxpy_osqp,unknown,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:26,0.4264030456542969,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3182,cvxpy_cvxopt,unknown,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:27,0.17130017280578613,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3183,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:28,0.13903069496154785,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3184,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:29,0.06609201431274414,OPTIMAL,1482208.0859465431,1489236.1344061291,-7028.048459585989,1.130271842392395,1.3148114811872174e-20,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1489236.1344061291, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3185,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:29,0.026358842849731445,OPTIMAL,1489236.1344061291,1489236.1344061291,0.0,5.75032302290025e-16,1.5192932598029034e-20,441,"{""solver_solve_time"": 0.007132500410079956, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1489236.1344061291, ""solver_stats"": {""solve_time"": 0.007132500410079956, ""num_iters"": 441, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3186,scipy_linprog,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:30,0.5156638622283936,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:30 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:30 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:30 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:30 - python_solver_runner - INFO - Subprocess solving sierra with scipy_linprog\n2026-07-05 18:19:30 - python_solver_runner - INFO - Solving sierra with scipy_linprog\n2026-07-05 18:19:30 - solver_scipy_linprog - INFO - Initialized SciPy solver with method 'highs'\n2026-07-05 18:19:30 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:30 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3187,cvxpy_clarabel,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:30,0.5411760807037354,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:30 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:30 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:30 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:30 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_clarabel\n2026-07-05 18:19:30 - python_solver_runner - INFO - Solving sierra with cvxpy_clarabel\n2026-07-05 18:19:30 - solver_cvxpy_clarabel - INFO - Initialized CVXPY solver 'cvxpy_clarabel' with backend 'CLARABEL'\n2026-07-05 18:19:30 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:30 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3188,cvxpy_scs,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:31,0.5767953395843506,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:31 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:31 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:31 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:31 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_scs\n2026-07-05 18:19:31 - python_solver_runner - INFO - Solving sierra with cvxpy_scs\n2026-07-05 18:19:31 - solver_cvxpy_scs - INFO - Initialized CVXPY solver 'cvxpy_scs' with backend 'SCS'\n2026-07-05 18:19:31 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:31 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3189,cvxpy_ecos,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:32,0.5188949108123779,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:32 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:32 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:32 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:32 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_ecos\n2026-07-05 18:19:32 - python_solver_runner - INFO - Solving sierra with cvxpy_ecos\n2026-07-05 18:19:32 - solver_cvxpy_ecos - INFO - Initialized CVXPY solver 'cvxpy_ecos' with backend 'ECOS'\n2026-07-05 18:19:32 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:32 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3190,cvxpy_osqp,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:32,0.5368080139160156,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:32 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:32 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:32 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:32 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_osqp\n2026-07-05 18:19:32 - python_solver_runner - INFO - Solving sierra with cvxpy_osqp\n2026-07-05 18:19:32 - solver_cvxpy_osqp - INFO - Initialized CVXPY solver 'cvxpy_osqp' with backend 'OSQP'\n2026-07-05 18:19:32 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:32 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3191,cvxpy_cvxopt,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:33,0.583975076675415,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:33 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:33 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:33 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:33 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_cvxopt\n2026-07-05 18:19:33 - python_solver_runner - INFO - Solving sierra with cvxpy_cvxopt\n2026-07-05 18:19:33 - solver_cvxpy_cvxopt - INFO - Initialized CVXPY solver 'cvxpy_cvxopt' with backend 'CVXOPT'\n2026-07-05 18:19:33 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:33 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3192,cvxpy_sdpa,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:33,0.5370082855224609,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:33 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:33 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:33 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:33 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_sdpa\n2026-07-05 18:19:33 - python_solver_runner - INFO - Solving sierra with cvxpy_sdpa\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/cvxpy/problems/problem.py:1504: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n warnings.warn(\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/sdpap/sdpaputils.py:114: RuntimeWarning: k >= N - 1 for N * N square matrix. Attempting to use scipy.linalg.eig instead.\n eig = eigs(mat.toarray(), k=1, which='SM',\n2026-07-05 18:19:33 - solver_cvxpy_sdpa - INFO - Initialized CVXPY solver 'cvxpy_sdpa' with backend 'SDPA'\n2026-07-05 18:19:33 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:33 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3193,cvxpy_scip,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:34,0.5441789627075195,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:34 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:34 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:34 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:34 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_scip\n2026-07-05 18:19:34 - python_solver_runner - INFO - Solving sierra with cvxpy_scip\n2026-07-05 18:19:34 - solver_cvxpy_scip - INFO - Initialized CVXPY solver 'cvxpy_scip' with backend 'SCIP'\n2026-07-05 18:19:34 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:34 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3194,cvxpy_highs,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:34,0.573657751083374,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:34 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:34 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:34 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:34 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_highs\n2026-07-05 18:19:34 - python_solver_runner - INFO - Solving sierra with cvxpy_highs\n2026-07-05 18:19:34 - solver_cvxpy_highs - INFO - Initialized CVXPY solver 'cvxpy_highs' with backend 'HIGHS'\n2026-07-05 18:19:34 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:34 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3195,scipy_linprog,scipy-1.15.3,NETLIB,stair,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:35,0.0033617019653320312,INFEASIBLE,,,,,,0,"{""solver_solve_time"": 0.0033617019653320312, ""original_status"": {""scipy_status"": 2, ""scipy_success"": false, ""scipy_message"": ""The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)"", ""scipy_fun"": null, ""scipy_nit"": 0, ""scipy_crossover_nit"": 0}, ""problem_class"": ""LP""}" +3196,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,stair,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:36,0.012068748474121094,UNBOUNDED,,,,,,12,"{""solver_solve_time"": 0.007336581, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.007336581, ""num_iters"": 12, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3197,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,stair,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:36,0.023658037185668945,UNBOUNDED,,,,,,400,"{""solver_solve_time"": 0.017934666, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.017934666, ""setup_time"": 0.001107958, ""num_iters"": 400, ""solver_name"": 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9.08565964e+00 1.88981966e+01 1.13827656e+01\n 4.74033822e+00 2.89597413e+01 3.42488620e+00 1.95978918e+01\n 1.79635254e+00 1.37951260e+00 1.45503566e+00 3.81082261e+00\n 5.41380189e+00 7.44866962e+00 5.04715179e+01 7.69012888e+02\n 3.24004032e+00 5.03236366e+00 7.18734237e+00 4.26273375e+07\n 4.90943604e+00 8.41994464e+00 8.46447519e+00 4.26273351e+07\n 2.84745794e+00 4.78079403e+00 7.30890050e+00 1.93774842e+01\n 1.04288930e+01 2.72880714e+00 4.15945156e+00 3.04753458e+00\n 4.07541353e+00 5.19551394e+00 4.39105796e+00 4.45342463e+00\n 4.94369737e+00 3.89486667e+00 4.50317448e+00 7.97781060e+00\n 2.98217230e+00 9.62270356e+00 1.62986760e+00 3.17759969e+00\n 1.11046594e+00 1.00544012e+00 1.47218207e+00 1.91818857e+00\n 2.76155657e+00 2.89164476e-01 3.21693886e+00 5.53039778e+00\n 3.95228677e+00 4.27486514e+00 5.45776876e+00 4.80722631e+00\n 4.75782627e+00 5.18276508e+00 4.08921293e+00 5.07236224e+00\n 9.22326472e+00 2.97814354e+00 8.33878920e+00 1.63205771e+00\n 3.15863357e+00 1.19705637e+00 1.20040878e+00 1.66741965e+00\n 2.19812653e+00 3.24345759e+00 3.37357488e-01 4.14386335e+00\n 6.44405489e+00 4.51462241e+00 5.18088891e+00 6.30019249e+00\n 5.43732636e+00 5.70334190e+00 5.38318087e+00 4.57467905e+00\n 6.62661984e+00 1.28333395e+01 3.41969998e+00 8.93467205e+00\n 1.91312670e+00 3.56892248e+00 1.23084523e+00 1.35056325e+00\n 1.78677570e+00 1.91627557e+00 2.76178594e+00 6.42601442e-01\n 5.41255568e+00 8.02745661e+00 5.42227646e+00 6.80862708e+00\n 8.10713117e+00 6.22986344e+00 7.43469113e+00 5.44297495e+00\n 5.04566558e+00 8.90481032e+00 2.05622494e+01 3.67353648e+00\n 1.18340610e+01 2.05587202e+00 4.15692531e+00 1.33065379e+00\n 1.52534109e+00 1.95035367e+00 2.13173307e+00 3.06807100e+00\n 1.12050521e+00 6.38130058e+00 1.08238625e+01 6.61719760e+00\n 8.80821594e+00 1.02243884e+01 6.76933361e+00 1.08293669e+01\n 5.13512083e+00 5.70675862e+00 1.19629142e+01 3.05158815e+01\n 3.49841691e+00 1.68516494e+01 2.11426235e+00 4.36369523e+00\n 1.42951765e+00 1.70616131e+00 2.13376242e+00 2.40493783e+00\n 3.75840143e+00 2.26574484e+00 2.23722273e+01 6.56457414e+00\n 1.58016043e+01 7.77130441e+00 1.19215908e+01 9.92975283e+00\n 6.32665665e+00 1.76896758e+01 5.72980558e+00 6.66547915e+00\n 1.46099396e+01 2.74425131e+01 2.60895256e+00 2.25557596e+01\n 2.10329965e+00 3.55522009e+00 1.46305087e+00 1.79885203e+00\n 2.24930742e+00 2.60820577e+00 5.47217293e+00 5.90639043e+00\n 2.61693140e+00 1.18762333e+01 7.60339563e+00 8.19721221e+00\n 8.50754405e+00 7.19830795e+00 7.54436790e+00 7.59118699e+00\n 5.19061731e+00 6.63525732e+00 1.14111167e+01 3.04397038e+00\n 1.69137551e+01 2.87866958e+00 4.65015349e+00 8.53203880e-01\n 1.16273470e+00 1.53165195e+00 2.57295269e+00 2.57507082e+00\n 1.03825546e+00 1.75863102e+01 2.83020990e+00 2.57362196e+00\n 2.76329353e+00 2.56176572e+00 2.48162295e+00 2.55739694e+00\n 2.52558025e+00 2.49938210e+00 2.60947193e+00 2.52896608e+00\n 2.77168105e+00 7.88659621e-01 7.85324581e+00 4.06595934e+00\n 3.17015148e-01 4.00513373e+00 2.72125829e+00 2.39787059e+00\n 2.57840340e+00 2.52863581e+00 2.45189806e+00 2.52158434e+00\n 2.49836032e+00 2.46929513e+00 2.61209341e+00 2.51600662e+00\n 2.75183919e+00 9.57338487e-01 8.49854877e+00 3.89728069e+00\n 2.70298111e+00 2.42721250e+00 2.58318331e+00 2.53811826e+00\n 2.50125433e+00 2.56194454e+00 2.53053713e+00 2.52520610e+00\n 2.64646799e+00 2.53942451e+00 2.74677704e+00 8.86027015e-01\n 8.25867333e+00 3.96859227e+00 2.75060537e+00 2.55630728e+00\n 2.67431245e+00 2.61227280e+00 2.61166953e+00 2.66868292e+00\n 2.62547515e+00 2.65281214e+00 2.74062172e+00 2.63235547e+00\n 2.78193569e+00 8.88489661e-01 6.55656976e+00 3.96612986e+00\n 2.73183989e+00 2.58054631e+00 2.66458920e+00 2.59731028e+00\n 2.61981961e+00 2.66739066e+00 2.61502466e+00 2.66537920e+00\n 2.72784808e+00 2.61411330e+00 2.71597639e+00 8.95084588e-01\n 4.50525881e+00 3.95953493e+00 2.34818759e+00 2.12935437e+00\n 2.18394585e+00 2.12245008e+00 2.17186845e+00 2.18857610e+00\n 2.16404951e+00 2.19101517e+00 2.25395368e+00 2.24984721e+00\n 2.36469703e+00 7.99112725e-01 8.36096497e-01 4.05550691e+00]"", ""s"": ""[3.20327189e+05 4.59765985e+05 5.92287742e+05 3.93369317e+05\n 6.06664448e+05 4.53290715e+05 2.49596599e+05 4.49004555e+05\n 8.12233561e+05 2.18849949e+05 1.81952409e+06 2.52706556e+05\n 6.61952082e+05 1.57589177e+04 5.70118600e+04 7.83187274e+06\n 2.77520183e+06 2.65516215e+06 8.08832323e+05 9.32579277e+05\n 8.94628437e+05 1.01466813e+06 7.58732981e+05 4.28095050e+05\n 1.15226526e+06 7.63382752e+05 5.19004874e+05 1.86221224e+05\n 1.74317221e+05 1.46030658e+06 1.29797557e+06 1.40880355e+06\n 1.29988870e+06 1.26057332e+06 1.30276097e+06 1.29065447e+06\n 1.26216605e+06 1.32302155e+06 1.28996083e+06 2.05468151e+05\n 6.84435473e+04 1.42712018e+06 3.94409977e+06 6.27701886e+05\n 2.15999281e+06 6.38590719e+06 4.63476956e+04 6.77304523e+05\n 2.86042995e+06 4.08573233e+04 1.49995823e+05 7.11359636e+04\n 3.77401547e+04 5.71356657e+04 1.01368243e+05 6.62318259e+04\n 1.38922316e+05 8.75503629e+04 4.40272101e+04 4.64453963e+04\n 1.56557818e+05 4.26144910e+04 1.09583913e+05 2.79845956e+04\n 5.67714014e+05 5.92277637e+05 4.28905317e+05 3.50651584e+05\n 4.69327187e+05 6.85568265e+05 4.23256895e+05 7.06229160e+05\n 4.91045439e+05 2.55112593e+05 3.88255146e+05 8.43048465e+05\n 1.89432227e+05 1.49706021e+06 2.15720594e+05 9.32703123e+05\n 4.31954648e+05 1.11235198e+06 3.56775987e+05 2.15999585e+06\n 2.86114353e+04 1.44586419e+04 5.32705667e+04 2.09092169e+04\n 6.07811365e+06 2.34252797e+06 2.38253388e+06 7.28519312e+05\n 9.98934575e+05 6.64132141e+05 6.24126246e+05 6.38249751e+05\n 3.94163342e+05 1.13011291e+06 7.18171247e+05 4.76790142e+05\n 1.65597106e+05 1.74483218e+05 1.43644876e+06 1.25694109e+06\n 1.33829502e+06 1.32136443e+06 1.28654991e+06 1.31545668e+06\n 1.31084128e+06 1.28563637e+06 1.35166775e+06 1.31483274e+06\n 2.08533854e+05 5.80637663e+04 1.46095846e+06 4.16732560e+06\n 6.05260413e+05 1.76838943e+06 6.04995433e+06 2.54652030e+04\n 3.85245846e+04 1.09879613e+05 5.87799439e+04 3.22833997e+04\n 4.77668637e+04 8.39134701e+04 5.41834353e+04 1.07847670e+05\n 6.85705481e+04 3.47999591e+04 3.83900027e+04 1.20656101e+05\n 3.15922630e+04 9.49727983e+04 2.38683890e+04 5.09060880e+05\n 6.23547442e+05 4.17575194e+05 3.05596365e+05 4.03140459e+05\n 6.10218742e+05 3.41152300e+05 6.49982536e+05 4.04857024e+05\n 2.08053696e+05 3.63503952e+05 7.00021308e+05 1.58997599e+05\n 1.22871371e+06 1.86914412e+05 9.25345462e+05 8.06723697e+05\n 6.25879412e+05 7.71127355e+05 4.14273599e+05 1.05308221e+06\n 2.31438776e+05 5.72096375e+06 1.99667583e+04 1.33034100e+04\n 5.31894568e+04 4.07650865e+03 5.50963579e+05 6.61237305e+05\n 3.79311363e+05 3.13680097e+05 5.93357858e+05 3.38238268e+05\n 1.10604518e+06 6.69403265e+05 4.33254682e+05 1.47347117e+05\n 1.73968014e+05 1.43175851e+06 1.27629739e+06 1.34566013e+06\n 1.34062352e+06 1.30970400e+06 1.33024266e+06 1.32795023e+06\n 1.31038547e+06 1.36708755e+06 1.33576935e+06 2.13479183e+05\n 5.42467466e+04 1.47414097e+06 6.86013625e+06 5.71626808e+05\n 1.18305551e+06 8.30036644e+06 2.36046626e+04 3.52538295e+04\n 8.67546012e+04 4.85797086e+04 2.79761370e+04 4.01222347e+04\n 6.91004867e+04 4.38607488e+04 8.55525624e+04 5.34050971e+04\n 2.77186922e+04 3.29051709e+04 9.13450710e+04 2.70986403e+04\n 8.02868726e+04 2.10651454e+04 4.41106037e+05 5.71659439e+05\n 3.72127529e+05 2.66019900e+05 3.33955245e+05 5.23161818e+05\n 2.65526173e+05 5.69278921e+05 3.28939993e+05 1.58626288e+05\n 3.07120270e+05 5.81814946e+05 1.35759791e+05 1.06680554e+06\n 1.81430973e+05 8.92223517e+05 1.11396292e+06 1.28850610e+06\n 9.13173859e+05 5.26326975e+05 3.33767591e+05 1.31266873e+06\n 1.60671984e+05 2.02550832e+04 4.07800110e+07 1.23202886e+04\n 5.45041508e+04 1.15583919e+04 4.49154671e+05 5.47335053e+05\n 3.24334465e+05 2.79995569e+05 4.90820897e+05 2.59424531e+05\n 1.07670368e+06 6.20465091e+05 3.91490285e+05 1.31396260e+05\n 1.72759714e+05 1.44617646e+06 1.31947537e+06 1.38290536e+06\n 1.37780429e+06 1.34988798e+06 1.36467339e+06 1.36483974e+06\n 1.35358148e+06 1.40540871e+06 1.37427054e+06 2.47501987e+05\n 4.86765021e+04 1.49534776e+06 3.17078522e+07 5.11886879e+05\n 7.16470264e+05 3.27277335e+07 1.92026422e+04 3.23835317e+04\n 7.07107479e+04 4.10692230e+04 2.46797838e+04 3.40307763e+04\n 5.77620402e+04 3.61338049e+04 6.95138606e+04 4.26037313e+04\n 2.26160902e+04 2.85204907e+04 7.07490512e+04 2.30424965e+04\n 6.94226839e+04 1.88343268e+04 3.90063049e+05 4.92915460e+05\n 3.26732570e+05 2.30217451e+05 2.74084396e+05 4.40093259e+05\n 1.94197796e+05 4.85493364e+05 2.68106339e+05 1.10597624e+05\n 2.46930120e+05 5.04234064e+05 1.25102205e+05 9.81664036e+05\n 1.81784400e+05 1.07268929e+06 1.20864560e+06 1.24091941e+06\n 6.96352079e+05 4.58275310e+05 3.20624997e+05 1.52294809e+06\n 1.13264128e+05 1.57987646e+05 1.70854358e+04 1.15910510e+04\n 5.50757738e+04 1.63569644e+04 3.81922613e+05 5.08871298e+05\n 3.02995683e+05 2.55271588e+05 4.20036198e+05 1.49776128e+05\n 1.04530823e+06 5.71494720e+05 3.51983868e+05 1.17129968e+05\n 1.74182045e+05 1.51641286e+06 1.40303546e+06 1.46515392e+06\n 1.46182384e+06 1.43130434e+06 1.44098483e+06 1.44693051e+06\n 1.43668245e+06 1.49544892e+06 1.45553134e+06 3.30079616e+05\n 4.13732252e+04 1.56417699e+06 2.14766562e+07 5.16889534e+05\n 3.35188189e+05 2.21512043e+07 1.43325016e+04 3.00549459e+04\n 5.87976430e+04 3.54860197e+04 2.21473619e+04 2.92454811e+04\n 4.90221798e+04 3.01257845e+04 5.75494079e+04 3.48962419e+04\n 1.83997513e+04 2.44498557e+04 5.61390630e+04 2.05793164e+04\n 6.10317614e+04 1.73751304e+04 3.81872089e+05 3.78060234e+05\n 2.66687934e+05 1.90920713e+05 2.05811431e+05 3.36164757e+05\n 1.22174605e+05 3.73222703e+05 2.30198753e+05 5.93183896e+04\n 1.55939881e+05 4.79361153e+05 1.21704482e+05 9.56957089e+05\n 1.54442310e+05 1.20823572e+06 1.35681287e+06 1.25229601e+06\n 6.26957997e+05 4.17225423e+05 3.04088835e+05 1.97117102e+06\n 7.55767893e+04 3.45729595e+05 1.29519197e+04 1.13582677e+04\n 5.35967843e+04 1.59933663e+04 4.88714248e+05 4.97521506e+05\n 2.93566077e+05 2.36233206e+05 5.60929664e+05 2.74067813e+05\n 1.00330822e+06 5.25613740e+05 3.15220379e+05 1.03491340e+05\n 1.79278199e+05 2.09352895e+06 1.94086356e+06 1.99512178e+06\n 2.00147149e+06 1.96478466e+06 1.96980976e+06 1.96614492e+06\n 1.97397490e+06 2.04640809e+06 1.98442452e+06 1.01823831e+06\n 3.83801487e+04 2.06763332e+06 4.23435845e+07 4.93258838e+05\n 1.94935995e+05 4.24361315e+07 1.27693652e+04 1.12091080e+04\n 4.69800243e+04 1.34445281e+04 3.00341141e+04 5.14290544e+04\n 3.21371977e+04 2.16011016e+04 2.70815352e+04 4.35535463e+04\n 2.64010700e+04 4.95265492e+04 3.11002533e+04 1.55839763e+04\n 1.95569271e+04 4.52795870e+04 2.17075294e+04 5.39637978e+04\n 1.68554293e+04 2.01780599e+05 3.85831978e+05 2.12272842e+05\n 1.45051439e+05 1.83485164e+05 3.00423839e+05 1.67626522e+05\n 3.61751872e+05 2.01637786e+05 1.06735805e+05 1.73870963e+05\n 5.20867595e+05 8.64330762e+04 1.30412990e+06 1.24198369e+05\n 1.48139568e+06 1.86404385e+06 1.62418157e+06 6.00398594e+05\n 3.97085562e+05 2.89025744e+05 6.20467069e+04 1.26242127e+04\n 6.44382960e+05 4.06003107e+05 2.85291243e+05 7.21035685e-02\n 5.14913905e+05 3.08616211e+05 2.94554770e+05 7.01048493e-02\n 9.69117321e+05 4.77164162e+05 2.81335789e+05 9.31170074e+04\n 1.54016007e+05 6.84967643e+05 4.28316095e+05 6.08632560e+05\n 4.29698651e+05 3.57783480e+05 4.40240231e+05 4.08108579e+05\n 3.66226590e+05 4.72860926e+05 4.09982654e+05 2.27658826e+05\n 6.88962568e+05 1.56280590e+05 1.49379870e+06 6.53152186e+05\n 4.67679078e+06 3.74421158e+06 2.84958319e+06 1.83491510e+06\n 1.07618222e+06 6.94772114e+06 5.20057888e+05 2.15412721e+05\n 3.54175421e+05 3.22700634e+05 2.67140743e+05 3.23085457e+05\n 3.04537100e+05 2.69445745e+05 3.84526132e+05 3.19207248e+05\n 1.92755197e+05 6.29977286e+05 1.45801296e+05 1.38186274e+06\n 5.69487085e+05 3.79052282e+06 2.79158831e+06 2.12745623e+06\n 1.50333002e+06 8.65080373e+05 4.65217775e+06 4.10505568e+05\n 1.46388306e+05 2.61735458e+05 2.49095753e+05 2.06284510e+05\n 2.44011561e+05 2.28617973e+05 2.09150987e+05 3.03582213e+05\n 2.47804203e+05 1.46067480e+05 5.34370172e+05 1.21664275e+05\n 1.15032469e+06 4.76800574e+05 2.91339483e+06 2.25215760e+06\n 1.87284629e+06 1.55916624e+06 9.65808474e+05 3.00434282e+06\n 3.16248365e+05 1.07805589e+05 2.08059684e+05 1.93126286e+05\n 1.60863709e+05 1.87096740e+05 1.74378758e+05 1.68188349e+05\n 2.49795985e+05 1.93617572e+05 1.12397356e+05 4.64222812e+05\n 1.03127596e+05 9.64950858e+05 3.91656462e+05 2.42325210e+06\n 1.87591711e+06 1.55158270e+06 1.27158719e+06 7.80766379e+05\n 1.80430900e+06 2.58307877e+05 8.22337177e+04 1.73048592e+05\n 1.59135253e+05 1.28682287e+05 1.46044000e+05 1.40613365e+05\n 1.39119934e+05 2.25779621e+05 1.59947612e+05 8.23720184e+04\n 4.40460147e+05 9.31240530e+04 8.73894495e+05 3.34149480e+05\n 2.09344162e+06 1.58457040e+06 1.28157477e+06 1.02630323e+06\n 6.06267124e+05 9.90261183e+05 7.31676928e+04 2.63739794e+05\n 6.20335402e+04 1.40998381e+05 1.35743936e+05 9.75340422e+04\n 1.09336138e+05 1.07753256e+05 1.16860901e+05 2.15566310e+05\n 1.41135055e+05 7.25433632e+04 6.01496935e+05 9.59178783e+04\n 9.60062222e+05 4.37351606e+05 1.98632528e+06 1.48880384e+06\n 1.19523782e+06 9.59004668e+05 3.98075092e+05 5.34425448e+05\n 4.06454852e+05 1.87518804e+05 2.93585567e+05 2.57567393e+05\n 1.98275722e+05 2.54641403e+05 2.24841930e+05 2.96516303e+05\n 3.69631253e+05 2.55572638e+05 1.81860488e+05 9.45619907e+05\n 1.66922927e+05 1.20151080e+06 5.81136132e+05 2.05884925e+06\n 1.54393542e+06 1.23531927e+06 9.40764581e+05 9.40764582e+05\n 2.27594841e+06 4.33516268e+05 1.11425560e+06 1.20857613e+06\n 1.13908765e+06 1.20910671e+06 1.24170650e+06 1.20143740e+06\n 1.22146255e+06 1.23485612e+06 1.18907729e+06 1.21889483e+06\n 1.12579188e+06 6.38590691e+06 2.38191606e+05 6.27702171e+05\n 7.62502559e+06 7.76113633e+05 1.12109180e+06 1.24622929e+06\n 1.18882053e+06 1.20336472e+06 1.22411010e+06 1.19707215e+06\n 1.21100511e+06 1.22089155e+06 1.17184255e+06 1.20032641e+06\n 1.13211015e+06 6.04995407e+06 2.09766488e+05 6.05260672e+05\n 1.12590258e+06 1.23455873e+06 1.18857432e+06 1.19617741e+06\n 1.20806913e+06 1.19088075e+06 1.20398190e+06 1.20588413e+06\n 1.16815498e+06 1.19261477e+06 1.14330996e+06 8.30036603e+06\n 2.14187593e+05 5.71627215e+05 1.13013237e+06 1.21187405e+06\n 1.17504995e+06 1.18488227e+06 1.18922854e+06 1.17778092e+06\n 1.19066526e+06 1.18559740e+06 1.15581700e+06 1.18085723e+06\n 1.14924818e+06 3.27277314e+07 2.39151692e+05 5.11888988e+05\n 1.13239819e+06 1.19509495e+06 1.16639854e+06 1.17698179e+06\n 1.17691527e+06 1.16923404e+06 1.18061035e+06 1.17185572e+06\n 1.14396251e+06 1.16987693e+06 1.16179862e+06 2.21512029e+07\n 3.89828109e+05 5.16890963e+05 9.84259294e+05 1.03330016e+06\n 1.00859354e+06 1.02019769e+06 1.02172076e+06 1.01494376e+06\n 1.01286181e+06 1.01158414e+06 9.85311917e+05 9.97759589e+05\n 9.98535606e+05 4.24361289e+07 4.20646385e+07 4.93261421e+05]"", ""info"": {""exitFlag"": 2, ""pcost"": -2080075.3852333315, ""dcost"": 237.12410305656192, ""pres"": 0.008567951389708003, ""dres"": 0.3735373383500872, ""pinf"": 0.0, ""dinf"": 1.0, ""pinfres"": 4.226035606697682e-06, ""dinfres"": 9.144170537685006e-09, ""gap"": 0.001932413061384613, ""relgap"": 9.29011070994355e-10, ""r0"": 1e-08, ""iter"": 10, ""mi_iter"": -1, ""infostring"": ""Dual infeasible"", ""timing"": {""runtime"": 0.005177749000000001, ""tsetup"": 0.000473458, ""tsolve"": 0.004704291}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3199,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,stair,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:37,0.021290063858032227,UNBOUNDED,,,,,,,"{""solver_solve_time"": 0.016674999, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.016674999, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([-3.18735995e-06, 3.18952180e-06, 3.83569298e-05, -2.38140175e-06,\n -1.08274520e-06, -1.83829712e-06, -6.30800559e-06, -1.03566248e-06,\n -1.34538632e-06, -2.78088797e-06, -7.94250064e-07, -2.70599081e-06,\n -2.08537213e-06, 5.62541153e-07, -4.65824319e-06, -9.84298384e-08,\n -1.10444652e-05, -1.79277452e-06, 4.20337820e-08, 6.00232571e-08,\n 2.31265681e-08, 1.57545950e-08, 6.45157748e-07, -7.61004558e-05,\n -8.14181884e-05, -4.82103210e-01, 3.50259619e-06, 1.18561820e-06,\n 2.18711086e-05, -4.66422677e-05, 5.62175219e-06, -4.82104304e-01,\n 7.64386164e-05, -4.36983019e-06, -2.16737716e-06, -7.25909147e-06,\n -4.46817309e-06, -5.55216421e-06, -6.57595390e-06, 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7.68926837e-06,\n -2.04728430e-06, -2.30175264e-06, -4.87548553e-06, 1.23231661e-05,\n -3.38930471e-06, -2.78015163e-06, 2.15533090e-06, -1.98761564e-06,\n -4.04984411e-06, 2.01931046e-06, 1.28580759e-06, 3.65572173e-07,\n -1.31117589e-06, -2.28993867e-06, 2.73285045e-07, 1.54424399e-08,\n 1.76143352e-08, 4.50540127e-08, 6.36481945e-08, -1.96938742e-07,\n 4.01411162e-06, -9.99744457e-07, -3.09695092e-07, 8.11601888e-07,\n -3.89684847e-06, -9.28186968e-08, 3.63509395e-07, 1.02948232e-06,\n 5.17898247e-08, 4.43731682e-07, 1.71657070e-06, 9.19645590e-07,\n -2.41456181e-06, -1.57955099e-06, -4.62114944e-06, -1.65789573e-06,\n 2.71881364e-08, 3.28365997e-08, -9.79079298e-10, -1.17258596e-07,\n 4.98251689e-07, -4.32850396e-06, -8.69800848e-05, -3.19577945e-06,\n -6.29951370e-06, -4.60205266e-06, 3.42469354e-05, 1.75904590e-06,\n 5.83985909e-08, 1.77294929e-05, -2.87600113e-06, -2.19958540e-08,\n 1.42704030e-05, 5.06117719e-06, -2.82776486e-06, -2.75156676e-07,\n -6.56362571e-06, -2.04771190e-06, 1.67751534e-08, 1.40500156e-08,\n -4.03537899e-08, -1.81169235e-07, 5.15818294e-07, -8.63625017e-06,\n -5.20478669e-07, -2.32779187e-07, 3.26264123e-06, 2.57722646e-06,\n 4.04169929e-06, 2.83869457e-06, 5.94418952e-06, 8.53714976e-07,\n 4.93709208e-06, 5.12694998e-06, 1.63859875e-06, -4.18335921e-06,\n -6.31189818e-07, -1.80931425e-06, -4.55018215e-06, -1.58397615e-08,\n -6.57469206e-09, -4.44001848e-08, -1.19570571e-07, -2.39411228e-07,\n -3.18400935e-06, 3.83206412e-05, -2.98134581e-05, -3.01683165e-05,\n -3.05599847e-05, -2.32237233e-05, -2.98853386e-05, -2.96773688e-05,\n -2.64307580e-05, -2.98764224e-05, -2.99190019e-05, -2.61434760e-05,\n -3.11603427e-05, -4.82106131e-01, 5.76014620e-07, -1.81702957e-06,\n -3.57931788e-06, 1.07379536e-06, -2.50964421e-05, -2.56420768e-05,\n -2.51014627e-05, -1.97052854e-05, -2.42296117e-05, -2.44031862e-05,\n -2.12592704e-05, -2.50283263e-05, -2.43195256e-05, -2.14853446e-05,\n -2.62204659e-05, -5.01890934e-01, -6.85215438e-07, -1.85554653e-06,\n -3.03055542e-05, -3.12572146e-05, -3.07189166e-05, -2.20457813e-05,\n -2.91708537e-05, -2.96780290e-05, -2.57116024e-05, -3.04965940e-05,\n -2.95412180e-05, -2.65084545e-05, -3.08586264e-05, -6.43934030e-01,\n -1.74100863e-07, -2.03626155e-06, 2.15313789e-05, 2.16289740e-05,\n 2.26160668e-05, 1.60199415e-05, 2.20460782e-05, 2.18124523e-05,\n 1.99195678e-05, 2.15084944e-05, 2.22994121e-05, 1.99717352e-05,\n 2.45243417e-05, -7.92830562e-01, -3.80325982e-05, -7.41961533e-06,\n 3.81803807e-06, 3.55338639e-06, 3.12334016e-06, 4.92915198e-06,\n 3.47020872e-06, 3.29519516e-06, 3.03977741e-06, 3.41474763e-06,\n 3.26442784e-06, 2.77626134e-06, 4.40329189e-06, -5.21203550e-01,\n -2.43467255e-05, -2.82432085e-07, 5.80233419e-05, 5.92137039e-05,\n 5.85626839e-05, 4.36630977e-05, 5.61230390e-05, 5.67752809e-05,\n 4.99979617e-05, 5.79006987e-05, 5.68061143e-05, 5.13246117e-05,\n 5.74398332e-05, -9.99986916e-01, -9.99895133e-01, 8.14006512e-06]), info=namespace(_pybind11_conduit_v1_=>, status='dual infeasible', status_val=5, status_polish=0, obj_val=-1e+30, prim_res=9.842210989402762, dual_res=3.189778152959077, iter=575, rho_updates=4, rho_estimate=1e-06, setup_time=0.000830583, solve_time=0.015844416, update_time=0.0, polish_time=0.0, run_time=0.016674999))""}}, ""problem_class"": ""LP""}" +3200,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,stair,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:38,0.41972804069519043,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +3201,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,stair,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:39,0.05444025993347168,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3202,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,stair,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:40,0.028638839721679688,UNBOUNDED,,,,,,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3203,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,stair,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:40,0.022047996520996094,UNBOUNDED,,,,,,,"{""solver_solve_time"": 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-5.12156476e+00 -2.48086594e-10 -5.03707744e+00\n -2.48144524e-10 -2.49588736e-10 -2.53011856e-10 -5.10801860e+00\n -2.48081363e-10 -5.01519351e+00 -2.48149737e-10 -2.46220431e-10\n -7.26994331e+00 -5.13737642e+00 -2.48118456e-10 -2.48733019e-10\n -2.48484775e-10 -2.46785969e-10 -2.44108924e-10 -2.48373868e-10\n -2.48335697e-10 -2.48669389e-10 -2.48455680e-10 -2.52297408e-10\n -2.47976550e-10 -2.48372824e-10 -2.48339027e-10 -2.48616238e-10\n -2.48414936e-10 -2.41756379e-10 -2.47542680e-10 -2.48333215e-10\n -2.48304445e-10 -6.59268544e+00 -6.76715604e+00 -5.78703274e+00\n -2.43739679e-10 -6.54196920e+00 -2.48503968e-10 -2.48630414e-10\n -2.48653581e-10 -2.48415218e-10 -6.22108871e+00 -2.48329748e-10\n -2.48488731e-10 -6.54875847e+00 -2.48598132e-10 -2.46620927e-10\n -6.73015601e+00 -6.53660567e+00 -2.48447652e-10 -2.48654580e-10\n -2.48774022e-10 -2.46944693e-10 -2.44094430e-10 -2.48331180e-10\n -2.48537500e-10 -2.48597210e-10 -2.48727792e-10 -2.52337956e-10\n -2.48017020e-10 -2.48328758e-10 -2.48545945e-10 -2.48551984e-10\n -2.48669476e-10 -2.41742544e-10 -2.47571622e-10 -2.48303633e-10\n -2.48508654e-10]"", ""y"": ""[]"", ""z"": ""[3.28976356 3.35511822 3.35511822 ... 1. 1. 1. ]"", ""s"": ""[7.51006959e-11 7.82494479e-11 7.82494479e-11 ... 2.61418233e-10\n 2.62149508e-10 2.62354565e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": -1257.6994999738772, ""dcost"": -1257.6995000909878, ""pres"": 8.618429539261011e-14, ""dres"": 1.2913520444438324e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.9075065490418264, ""gap"": 3.790710945140853e-06, ""relgap"": 3.0140036989913625e-09, ""r0"": 1e-08, ""iter"": 12, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.003764291, ""tsetup"": 0.000368166, ""tsolve"": 0.003396125}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3217,cvxpy_osqp,unknown,NETLIB,standgub,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:50,0.22497797012329102,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3218,cvxpy_cvxopt,unknown,NETLIB,standgub,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:51,0.060495853424072266,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3219,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,standgub,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:52,0.0810997486114502,OPTIMAL,1257.6997866894317,1257.6996823041507,0.00010438528101985867,2.1083017728937895e-13,6.04923853276712e-12,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1257.6996823041507, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3220,cvxpy_scip,unknown,NETLIB,standgub,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:52,0.02600407600402832,ERROR,,,,,,,"{""error_message"": ""cannot reshape array of size 1502 into shape (1503,)"", ""problem_class"": ""LP""}" +3221,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,standgub,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:53,0.007535219192504883,OPTIMAL,1257.6995,1257.6995000000002,-2.2737367544323206e-13,1.3070408324034048e-17,0.0,174,"{""solver_solve_time"": 0.002098875120282173, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1257.6995000000002, ""solver_stats"": {""solve_time"": 0.002098875120282173, ""num_iters"": 174, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3222,scipy_linprog,scipy-1.15.3,NETLIB,standmps,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:54,0.010989904403686523,OPTIMAL,1406.0175,,,0.0,,236,"{""solver_solve_time"": 0.010989904403686523, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1406.0175, ""scipy_nit"": 236, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3223,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,standmps,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:54,0.012458086013793945,OPTIMAL,1406.0175002537646,1406.0174999983167,2.554479578975588e-07,9.294227648523482e-11,7.374019843706747e-15,20,"{""solver_solve_time"": 0.007334248, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1406.0174999983167, ""solver_stats"": {""solve_time"": 0.007334248, ""num_iters"": 20, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3224,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,standmps,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 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CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -41131.977053038994, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3238,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,stocfor1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:05,0.006067037582397461,OPTIMAL,-28273.21778264336,-41131.9762194364,12858.75843679304,102.00378687774165,4.525581796459571e-19,,"{""solver_solve_time"": null, 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{""cvxpy_status"": ""optimal"", ""cvxpy_value"": -41131.97621943643, ""solver_stats"": {""solve_time"": 0.0005652084946632385, ""num_iters"": 21, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3240,scipy_linprog,scipy-1.15.3,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:07,0.06338810920715332,OPTIMAL,-39024.408537882045,,,0.0,,1661,"{""solver_solve_time"": 0.06338810920715332, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -39024.408537882045, ""scipy_nit"": 1661, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3241,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:08,0.054595947265625,OPTIMAL,-39024.40848968686,-39024.4084982199,8.533039363101125e-06,1.0597026741957308e-07,8.388180541985745e-12,21,"{""solver_solve_time"": 0.025676291, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -39024.4084982199, ""solver_stats"": {""solve_time"": 0.025676291, ""num_iters"": 21, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3242,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:11,3.0148627758026123,OPTIMAL,-39024.4079310403,-39024.399071641164,-0.008859399138600565,2.7751997840040727e-05,7.66255951764161e-08,24775,"{""solver_solve_time"": 2.985019208, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -39024.399071641164, ""solver_stats"": {""solve_time"": 2.985019208, ""setup_time"": 0.002600166, ""num_iters"": 24775, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-3.78200777e+02 -4.00925976e+02 -4.09606368e+02 ... 2.15598691e-09\n 4.97275070e-09 4.63877551e-08]"", ""y"": ""[ 0. 0. 0. ... 536.80987305 461.45161921\n 587.23828493]"", ""s"": ""[77.92907845 55.15967897 24.66943197 ... 0. 0.\n 0. ]"", ""info"": {""status_val"": 1, ""iter"": 24775, ""scale_updates"": 2, ""scale"": 1.0040352157686154, ""pobj"": 39024.39907164116, ""dobj"": 39024.4079310403, ""res_pri"": 0.0007541698847139801, ""res_dual"": 0.00061650499476731, ""gap"": 0.0088593991493886, ""res_infeas"": 0.0015886211549845726, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 1.9380464190500315e-15, ""solve_time"": 2985.019208, ""setup_time"": 2.600166, ""lin_sys_time"": 2483.4690689999807, ""cone_time"": 172.6908259999946, ""accel_time"": 48.87456900000418, ""rejected_accel_steps"": 222, ""accepted_accel_steps"": 14, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +3243,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:12,0.05598282814025879,OPTIMAL,-39024.40853592062,-39024.40853597104,5.041511030867696e-08,5.690037137796371e-09,2.4940392424674433e-13,22,"{""solver_solve_time"": 0.02522375, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -39024.40853597104, ""solver_stats"": {""solve_time"": 0.02522375, ""setup_time"": 0.001118041, ""num_iters"": 22, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-3.78185114e+02 -4.00907862e+02 -4.09606678e+02 ... -2.28973900e-12\n -1.62660323e-12 -2.73626340e-12]"", ""y"": ""[]"", ""z"": ""[2.90677341e-11 4.13164866e-11 9.40963110e-11 ... 5.36811085e+02\n 4.61452677e+02 5.87235780e+02]"", ""s"": ""[7.79399060e+01 5.51669975e+01 2.46726773e+01 ... 4.30140339e-12\n 5.03844355e-12 3.99778872e-12]"", ""info"": {""exitFlag"": 0, ""pcost"": 39024.40853597104, ""dcost"": 39024.40853592068, ""pres"": 1.0746022982477968e-12, ""dres"": 3.4852034311906945e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.01240074291391694, ""dinfres"": NaN, ""gap"": 1.0440492179267751e-05, ""relgap"": 2.675374866900961e-10, ""r0"": 1e-08, ""iter"": 22, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.026341791, ""tsetup"": 0.001118041, ""tsolve"": 0.02522375}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3244,cvxpy_osqp,unknown,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:14,0.8333549499511719,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3245,cvxpy_cvxopt,unknown,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:29,13.870625019073486,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3246,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:30,0.23634886741638184,OPTIMAL,-39024.40086996892,-39024.400869968886,-3.637978807091713e-11,1.2503840588634974e-10,2.1905427791046987e-11,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -39024.400869968886, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3247,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:31,0.11649823188781738,OPTIMAL,-28085.238479254178,-39024.408537882024,10939.170058627846,148.77292842500262,7.616227392897058e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -39024.408537882024, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3248,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:32,0.04211997985839844,OPTIMAL,-39024.40853788204,-39024.408537882024,-1.4551915228366852e-11,1.2378536848228752e-13,5.2798654888767945e-18,738,"{""solver_solve_time"": 0.014122668653726578, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -39024.408537882024, ""solver_stats"": {""solve_time"": 0.014122668653726578, ""num_iters"": 738, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3249,scipy_linprog,scipy-1.15.3,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:35,2.3484742641448975,OPTIMAL,458815.8471856167,,,0.0,,19184,"{""solver_solve_time"": 2.3484742641448975, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 458815.8471856167, ""scipy_nit"": 19184, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3250,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:37,0.16317176818847656,OPTIMAL,458815.8491267638,458815.8469853854,0.002141378412488848,2.0329558580008e-14,0.0,20,"{""solver_solve_time"": 0.087262417, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 458815.8469853854, ""solver_stats"": {""solve_time"": 0.087262417, ""num_iters"": 20, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3251,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:45,6.682442903518677,OPTIMAL,458815.8470728556,458815.8444947918,0.0025780638097785413,8.202231597636113e-06,4.9063664887493174e-11,27750,"{""solver_solve_time"": 6.636026333, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 458815.8444947918, ""solver_stats"": {""solve_time"": 6.636026333, ""setup_time"": 0.006013666, ""num_iters"": 27750, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 3.13835724e+01 3.33322327e+01 3.53349474e+01 2.53349395e+01\n 2.16669986e+01 2.50007856e+01 2.16670142e+01 2.53349945e+01\n 3.53349944e+01 4.19003269e+01 3.93950151e+01 6.61310207e+01\n 6.66677667e+01 6.46660794e+01 5.64206521e+01 4.66678118e+01\n 4.00002685e+01 4.66678070e+01 5.66678437e+01 6.46661568e+01\n 6.72198817e+01 7.27833830e+01 1.04860470e+02 1.00001022e+02\n 9.00010241e+01 8.00010242e+01 7.16673194e+01 6.83348219e+01\n 7.16672608e+01 8.00010629e+01 9.00010735e+01 1.00001073e+02\n 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6.013666, ""lin_sys_time"": 5570.988844000006, ""cone_time"": 335.35267700000895, ""accel_time"": 99.9759639999968, ""rejected_accel_steps"": 248, ""accepted_accel_steps"": 33, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +3252,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 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-1.06729331e+02\n -2.12517315e+02 -3.18325711e+02 -4.27428452e+02 -5.40091025e+02\n 5.56003126e+02 4.42688976e+02 3.32644118e+02 2.25818205e+02\n 1.12779145e+02 3.74811719e+00 -1.03905725e+02 -2.10859893e+02\n -3.17981977e+02 -4.27803437e+02 -5.40254295e+02 5.55906039e+02\n 4.42361739e+02 3.31586221e+02 2.24274109e+02 1.15853030e+02]"", ""y"": ""[]"", ""z"": ""[8.90308318e-08 6.16868696e-09 5.33200029e+01 ... 1.37607772e-08\n 2.49002604e-08 2.69405039e-08]"", ""s"": ""[2.95022347e+00 4.17711765e+01 4.84034805e-09 ... 1.82781753e+01\n 1.06616982e+01 9.33830179e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": -458815.84697304055, ""dcost"": -458815.8492439903, ""pres"": 2.1245856960019818e-14, ""dres"": 5.134650370463408e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.04048485055359788, ""gap"": 0.0022703930669122413, ""relgap"": 4.948375436225172e-09, ""r0"": 1e-08, ""iter"": 20, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.074424374, ""tsetup"": 0.002873083, ""tsolve"": 0.071551291}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3253,cvxpy_osqp,unknown,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:49,1.8394460678100586,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3254,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:57,6.86423921585083,OPTIMAL,458816.03089711245,458815.8282245443,0.20267256814986467,1.3187490417833577e-14,0.0,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": 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1.63748739e-13 1.18062639e-13 3.58006798e-12\n 3.82407562e-12 3.46964349e-12 3.44022765e-11 1.53971912e-10\n 6.05411300e-13 2.90497096e-10 3.39894623e-11 2.11339533e-10\n 6.40849556e-13 3.62599408e-10 2.68124133e-11 6.96371174e-11\n 7.14438205e-13 7.16966981e-11 2.12903565e-12 2.31239488e-10\n 9.27380065e-02 1.17604890e-12 1.94711241e+00 1.40692662e-01\n 2.04083485e+00 1.24638279e-12 8.67037583e-03 6.71073116e-11\n 2.04925084e-10 1.39152119e-12 7.35158901e-11 4.18713306e-12\n 4.15894274e-01 1.14247546e-10 9.76466660e-02 4.93843832e-14\n 1.07386437e-01 1.00225236e-01 1.28592495e-01 4.73516429e-14\n 3.20772093e-04 3.30902158e-11 2.77432644e-11 5.81533240e-14\n 1.65994960e-11 1.91293247e-13 3.64880196e-01 9.39206750e-12\n 2.14098910e-11 1.84859962e-11 3.93395873e-11 4.96757992e-12\n 1.38216728e-12 5.13000000e+00 9.00000000e+01 7.94590283e+00\n 1.79536210e+01 1.55308661e+01 2.70719149e+01 1.15413195e+01\n 2.30000000e+01 4.25187899e-02 2.30000000e+01 2.29577112e+01\n 6.76843416e-10 2.56473982e-14 1.85275485e-14 4.35157907e-09\n 2.80049491e-09 2.20953337e+00 5.10000000e+00 8.52023066e+00\n 6.18835022e+01 3.06000000e+00 1.60000000e+01 5.14834247e+01\n 4.57500000e+00 3.32998474e+01 1.85594735e-14 3.83002171e+01\n 2.50000000e+02 2.60554248e-12 3.01887419e-14 3.00000000e+00\n 2.60524444e-12 2.16727241e-09 9.11829394e+00 5.30160372e-11\n 1.07783530e-11 3.66974518e-11 8.99290725e+00 3.96491043e+01\n 2.05200000e+00 6.81802835e+00 3.09722581e+00 3.09722581e+00\n 1.02290972e+01 1.55730399e+01 3.77901698e+01 6.76843416e-10\n 6.18835022e+01 8.53545629e-13 4.69686739e-13 8.08777090e-12\n 2.85146624e-12 1.82669054e-11 1.60983358e-11 2.17808176e-12\n 2.50000000e+02 3.78768245e-12 2.50222228e-12 2.65146281e-12\n 1.89221425e-12 8.70000000e+01 3.00000000e+00 3.09600000e+01\n 1.56756554e-10 5.03986132e-12 3.75139157e-12 4.49227126e-12\n 3.49253565e-12 6.11327521e-12 4.84700949e-12 4.91495495e-12\n 4.17504745e-12 1.76586486e+00 2.15471987e-11 7.22704239e+00\n 4.64181566e-11 2.78949600e+01 1.33928224e-10 7.34536857e-11\n 5.62766789e-11 1.17541443e+01 6.69225186e-11 2.03613444e-11\n 5.13000000e+00 8.50421326e-11 8.40857257e-11 6.81802835e+00\n 3.09722581e+00 2.95342254e-10 3.09722581e+00 8.96370328e-15\n 1.02290972e+01 7.94590283e+00 4.82476901e-12 6.63482886e+00\n 1.85594728e-14 6.21131482e-12 4.57500000e+00 3.75251926e-11\n 4.40548872e+00 4.95968242e+00 8.81480736e+00 3.54590637e-11\n 1.88373791e-11 1.35860964e-11 2.86646663e+00 5.10000000e+00\n 2.20953337e+00 1.78347655e+01 3.36486592e+01 1.55730399e+01\n 9.71743567e-11 3.65331405e-10 1.26151373e-11 1.24419244e-11\n 1.30687972e-11 1.64730043e-09 8.72858249e+00 4.20663347e-12\n 1.28128693e+01 1.87309732e+00 1.43424194e+01 4.47050630e-12\n 3.32012599e-02 4.90620478e-10 1.25045827e-09 4.98014266e-12\n 3.33801250e-09 1.45573211e-11 1.15411642e+01 7.42801348e-12\n 2.59631967e-09 1.55307507e+01 2.11546637e-11 2.99887500e+00\n 1.99588358e+01 8.15174417e-12 4.22892127e-02 2.31680122e-11\n 6.54026580e-10 2.28352427e-11 5.71176114e-10 1.47045286e-09\n 7.12140667e-12 3.56961049e-09 2.09483194e-11 3.11897049e-10\n 1.09268702e-11 4.76173134e-12 3.59540441e-12 4.27020074e-12\n 3.35779684e-12 8.21793349e-11 6.30901504e-11 2.78949600e+01\n 1.41238163e-10 1.37690864e-11 5.03288005e-12 1.55003431e-11\n 5.31764326e-12 3.54134652e-12 3.52846895e-12 8.40000000e-01\n 1.52745272e-10 6.34150873e-12 2.99887500e+00 3.15000000e+01\n 2.43323106e-11 2.95350913e-11 1.14998794e-11 3.28427949e-11\n 2.95137804e-11 9.54476918e-11 6.29552046e-11 1.95999084e+00\n 2.15657117e-11 2.09530957e-12 2.06467141e-12 2.00527593e-12\n 1.98452974e-12 8.03421465e+00 4.65145488e-11 1.33503067e-11\n 2.58179419e-10 3.07800000e+00 1.04712728e-11 2.34389693e-12\n 2.36307869e-12 2.28180993e-12 2.30115277e-12 1.99588358e+01\n 1.69225447e-11 2.99887500e+00 4.22892171e-02 4.79221635e-11\n 2.99887500e+00 1.99588358e+01 1.69225290e-11 4.22892171e-02\n 4.79222785e-11 8.47433426e-10 1.94426593e-09 8.78859728e-12\n 4.32679669e-09 2.47727859e-11 4.41580770e+01 3.34789564e+01\n 9.32917119e+00 7.02280441e+00 8.70722645e+00 6.52665468e+00\n 2.34194110e-14 6.51171293e-13 2.38997718e-13 1.85233128e-14\n 8.95074531e-01 1.44035117e+01 1.77842692e-11 4.19694980e-12\n 9.44992702e-13 1.03858161e+00 9.07827106e-13 1.18034431e+00\n 5.92482491e-13 2.16928661e-11 7.28065148e+00 9.77470000e+02\n 3.79706044e+03 4.36987844e+03 3.01392507e-01 3.41064390e+02\n 3.87915011e+03 1.99340943e+03 1.01555439e+03 8.11838757e+02\n 9.24255126e+02 3.85502999e-02 7.89422804e+01 8.19537759e+02\n 4.21143506e+02 2.21684893e+02 7.67257994e+02 8.76280142e+02\n 2.58710656e-02 9.54914895e+01 7.58875092e+02 3.97105239e+02\n 2.53771642e+02 3.21758924e+02 5.02102447e+03 2.68317072e+02\n 8.76865569e+02 9.71559070e+02 6.01637650e+01 1.29997006e+03\n 4.98002821e+01 1.85252622e+02 1.98127810e+02 2.82482730e+01\n 1.30768647e+03 2.46682354e+01 1.68864480e+02 1.38053548e+02\n 1.85594768e-14 1.85594768e-14 1.85594768e-14 1.13999179e+01\n 1.58915659e+03 1.41697478e+02 2.16197459e+03 2.50494492e-10\n 3.65835972e+03 1.85594768e-14 2.35821882e+00 3.45380198e+02\n 1.94707969e+01 4.57796567e+02 2.47259876e-10 7.72891903e+02\n 1.85594768e-14 1.85594768e-14 1.85594768e-14 2.17304146e+00\n 3.31896672e+02 5.19922864e+00 4.40918820e+02 2.48979061e-10\n 7.15338959e+02 1.85594768e-14 8.00000000e+00 1.00000000e+01\n 4.00000000e+01 1.00000000e+01 1.98700000e+01 4.50000000e+01\n 1.04637904e+00 2.95901891e-11 1.85195999e-14 3.69046663e+00\n 8.74960556e-13 4.91479769e+02 4.38116498e+02 4.96940000e+02\n 9.22796067e-13 4.48516575e+02 4.95425000e+02 4.66700153e+02\n 5.00000000e+02 1.16997829e+01 8.00000000e+01 1.50000000e+01\n 6.96549479e-15 3.20000000e+01 2.00000000e+00 1.00000000e+01\n 8.81706065e-01 1.85233535e-14 1.00000000e+00]"", ""s"": ""[6.13169762e-04 2.17229693e-03 4.85123815e-04 6.60999671e-04\n 2.42368058e-03 2.30085992e-03 2.04964628e-03 4.55632145e-03\n 2.84185265e-15 3.46923392e-15 5.01179786e-16 3.08300350e-03\n 6.97504743e-05 1.66186668e+00 4.48504535e-16 7.47897924e-04\n 5.16721083e-03 1.81031668e-03 3.52794534e-05 9.44400634e-04\n 1.72269180e+00 4.03269636e-03 2.51212221e-15 3.31207405e-05\n 3.04897430e-03 3.32682588e-15 1.04832299e-04 8.73257340e-04\n 3.44127053e-01 1.78097012e-04 3.07887913e-04 2.94296729e-03\n 1.48010769e-14 7.69239563e-04 1.59775041e-04 3.90768104e-05\n 1.53421988e-15 3.77174694e-04 4.00206800e-03 1.74005316e-14\n 1.62809562e-14 4.94192372e-03 4.43244280e-03 9.31685302e-04\n 2.87703088e-03 2.28215090e-02 1.92986830e-03 1.71546027e+00\n 5.02070197e-03 2.96094357e-03 2.75492041e-03 4.52399543e-03\n 4.40419187e-03 4.84841587e-04 2.33706919e-04 1.85781392e-03\n 1.60439216e-03 1.66646562e+00 1.76495666e-03 2.33875451e-04\n 2.04136820e-03 5.22557366e-03 1.62588631e+00 2.08901680e-02\n 2.90805385e-02 9.40698491e-04 8.78827569e-04 9.89573685e-04\n 8.62408265e-05 2.09470358e-05 5.64164003e-03 1.71907595e-05\n 8.85085518e-05 1.77732651e-05 5.33871628e-03 1.52579901e-05\n 1.13442870e-04 4.66873080e-05 4.80272968e-03 4.00135761e-05\n 1.58838369e-03 1.40972691e-05 5.33402616e-16 2.90850578e-03\n 9.45068302e-16 1.97724617e-14 5.72177819e-16 2.74308794e-03\n 6.46172848e-14 4.40635181e-05 1.47717117e-05 2.47937672e-03\n 1.13355817e-05 8.09573679e-04 1.33659883e-14 2.80039063e-05\n 7.15635037e-15 6.99620012e-02 2.59174752e-14 4.99403680e-14\n 9.75562715e-15 7.30966820e-02 4.55317828e-12 8.70995876e-05\n 1.36366820e-04 5.95830321e-02 2.29449755e-04 1.78732527e-02\n 1.03347169e-14 1.51555838e-14 1.40068690e-14 6.13169763e-04\n 2.17229693e-03 4.85123815e-04 6.60999673e-04 2.42368058e-03\n 2.30085993e-03 2.04964629e-03 4.55632145e-03 9.73181495e-15\n 1.01147933e-14 1.08990196e-14 3.08300350e-03 6.97504759e-05\n 1.66186668e+00 9.90113773e-15 7.47897925e-04 5.16721083e-03\n 1.81031668e-03 3.52794552e-05 9.44400634e-04 1.72269180e+00\n 4.03269637e-03 6.42228130e-15 3.31207406e-05 3.04897430e-03\n 8.25017371e-15 1.04832299e-04 8.73257340e-04 3.44127053e-01\n 1.78097012e-04 3.07887913e-04 2.94296729e-03 2.68167377e-14\n 7.69239563e-04 1.59775042e-04 3.90768104e-05 7.51381647e-15\n 3.77174694e-04 4.00206800e-03 2.41015281e-14 2.04032154e-14\n 4.94192372e-03 4.43244280e-03 9.31685304e-04 2.87703088e-03\n 2.28215090e-02 1.92986830e-03 1.71546027e+00 5.02070198e-03\n 2.96094357e-03 2.75492042e-03 4.52399543e-03 4.40419188e-03\n 4.84841587e-04 2.33706919e-04 1.85781392e-03 1.60439216e-03\n 1.66646562e+00 1.76495666e-03 2.33875451e-04 2.04136820e-03\n 5.22557367e-03 1.62588631e+00 2.08901680e-02 2.90805385e-02\n 9.40698493e-04 8.78827571e-04 9.89573685e-04 8.62408268e-05\n 2.09470371e-05 5.64164003e-03 1.71907635e-05 8.85085522e-05\n 1.77732667e-05 5.33871628e-03 1.52579916e-05 1.13442870e-04\n 4.66873093e-05 4.80272968e-03 4.00135776e-05 1.58838370e-03\n 1.40972699e-05 1.10672583e-14 2.90850578e-03 2.94323745e-15\n 2.81984310e-14 2.68942820e-15 2.74308794e-03 2.11863830e-13\n 4.40635190e-05 1.47717140e-05 2.47937673e-03 1.13355891e-05\n 8.09573681e-04 2.03632123e-14 2.80039060e-05 1.89374100e-14\n 6.99620012e-02 3.32283216e-14 4.49452006e-14 1.77593331e-14\n 7.30966820e-02 4.60061360e-12 8.70995873e-05 1.36366820e-04\n 5.95830321e-02 2.29449755e-04 1.78732527e-02 1.43505511e-14\n 2.44648124e-14 1.92545532e-14 6.13169763e-04 2.17229693e-03\n 4.85123815e-04 6.60999673e-04 2.42368058e-03 2.30085993e-03\n 2.04964629e-03 4.55632145e-03 1.44926371e-14 1.49033111e-14\n 1.91752036e-14 3.08300350e-03 6.97504759e-05 1.66186668e+00\n 1.84108950e-14 7.47897925e-04 5.16721083e-03 1.81031668e-03\n 3.52794553e-05 9.44400634e-04 1.72269180e+00 4.03269637e-03\n 7.26431933e-15 3.31207406e-05 3.04897430e-03 5.88853805e-15\n 1.04832299e-04 8.73257340e-04 3.44127053e-01 1.78097012e-04\n 3.07887913e-04 2.94296729e-03 4.67975281e-14 7.69239563e-04\n 1.59775042e-04 3.90768104e-05 1.31008449e-14 3.77174694e-04\n 4.00206800e-03 1.42821502e-14 1.49490521e-14 4.94192372e-03\n 4.43244280e-03 9.31685304e-04 2.87703088e-03 2.28215090e-02\n 1.92986830e-03 1.71546027e+00 5.02070198e-03 2.96094357e-03\n 2.75492042e-03 4.52399543e-03 4.40419188e-03 4.84841587e-04\n 2.33706919e-04 1.85781392e-03 1.60439216e-03 1.66646562e+00\n 1.76495666e-03 2.33875451e-04 2.04136820e-03 5.22557367e-03\n 1.62588631e+00 2.08901680e-02 2.90805385e-02 9.40698493e-04\n 8.78827571e-04 9.89573685e-04 8.62408268e-05 2.09470371e-05\n 5.64164003e-03 1.71907637e-05 8.85085522e-05 1.77732668e-05\n 5.33871628e-03 1.52579916e-05 1.13442870e-04 4.66873094e-05\n 4.80272968e-03 4.00135777e-05 1.58838370e-03 1.40972699e-05\n 2.77342685e-14 2.90850578e-03 3.17827303e-15 2.15130220e-14\n 1.82972790e-15 2.74308794e-03 2.17753452e-13 4.40635190e-05\n 1.47717141e-05 2.47937673e-03 1.13355891e-05 8.09573681e-04\n 8.25704435e-15 2.80039060e-05 3.86587796e-14 6.99620012e-02\n 5.02506718e-14 4.26724806e-14 3.15373376e-14 7.30966820e-02\n 4.61289711e-12 8.70995873e-05 1.36366820e-04 5.95830321e-02\n 2.29449755e-04 1.78732527e-02 9.42151644e-15 3.55638586e-04\n 1.63574235e-04 1.92357097e-04 8.25813540e-05 6.87829116e-04\n 2.47378403e-03 6.77553839e-16 3.78518377e-17 4.24777702e-16\n 1.99539666e-16 3.00163533e-16 1.32833923e-16 2.74258674e-16\n 1.48595900e-16 5.80036508e-14 1.43100266e-16 1.71646952e-16\n 4.77088480e-06 1.20994185e-01 1.67475025e-01 1.95100134e-06\n 1.36166874e-06 1.54802273e-15 6.68906312e-16 4.00533307e-16\n 5.49831159e-17 1.11130244e-15 2.13246196e-16 6.63461908e-17\n 7.49352582e-16 1.02315956e-16 1.67471171e-01 8.91390066e-17\n 1.36438857e-17 1.22892037e-03 1.03022549e-01 1.11453129e-15\n 1.25927364e-03 2.58880245e-06 3.97390909e-16 6.44415092e-05\n 3.16072987e-04 9.44908715e-05 3.81082762e-16 8.53133828e-17\n 1.69383502e-15 5.02399609e-16 1.26361217e-15 1.31724582e-15\n 3.37103504e-16 2.18097316e-16 9.35885723e-17 4.77088480e-06\n 5.49831159e-17 4.01349696e-03 7.28809596e-03 4.03155782e-04\n 1.20155830e-03 1.87931628e-04 2.14868486e-04 1.58563194e-03\n 1.36438857e-17 8.84117289e-04 1.34105511e-03 1.26334613e-03\n 1.77079261e-03 3.92355966e-17 1.12276632e-15 1.11296201e-16\n 2.18957020e-05 6.57303614e-04 8.78941616e-04 7.36461903e-04\n 9.43253632e-04 5.39675811e-04 6.80759363e-04 6.72572829e-04\n 7.91975397e-04 2.28131374e-15 1.52447675e-04 4.67964508e-16\n 7.29924485e-05 1.23632675e-16 2.55320260e-05 4.69916276e-05\n 6.16887350e-05 2.85750881e-16 5.14343236e-05 1.62166989e-04\n 6.81793601e-16 4.06131020e-05 4.06131020e-05 5.02553592e-16\n 1.40181435e-15 1.09618334e-05 1.31724582e-15 3.43940080e-01\n 3.37118310e-16 4.24777702e-16 6.89554012e-04 5.09401765e-16\n 1.67471179e-01 5.30723040e-04 7.49352582e-16 8.75693017e-05\n 7.43605793e-16 7.41982272e-16 3.94294951e-16 9.49336568e-05\n 1.77277999e-04 2.45244627e-04 1.18606414e-15 6.68906312e-16\n 1.54802273e-15 1.91533422e-16 1.01500778e-16 2.19417224e-16\n 3.52686821e-05 9.78848309e-06 2.60268132e-04 2.62200266e-04\n 2.52036291e-04 1.84007915e-06 3.64454833e-16 7.82826613e-04\n 4.87526518e-16 2.76464681e-15 2.87864233e-16 7.43315808e-04\n 4.44037040e-14 5.71745887e-06 3.61710047e-06 6.59428634e-04\n 3.27136048e-06 2.24331429e-04 2.73284796e-16 4.45811469e-04\n 1.15659568e-06 3.11815421e-16 1.56071540e-04 1.51665810e-15\n 1.98028565e-16 4.08995003e-04 5.87913806e-14 1.43777297e-04\n 5.48636189e-06 1.45834272e-04 5.00139452e-06 2.93165679e-06\n 4.65258223e-04 2.72091560e-06 1.57584758e-04 1.14814740e-05\n 3.00797529e-04 6.99335981e-04 9.21514164e-04 7.78791927e-04\n 9.85409058e-04 4.21962957e-05 5.51864090e-05 1.23517301e-16\n 2.42914883e-05 2.43412179e-04 6.52419126e-04 2.15664038e-04\n 6.14003945e-04 8.09375376e-04 9.29137206e-04 4.04419305e-15\n 2.30876913e-05 5.30416774e-04 1.14123239e-15 1.08259867e-16\n 1.38884249e-04 1.05159865e-04 2.93808887e-04 9.95260949e-05\n 1.05159865e-04 3.26185810e-05 5.01686284e-05 1.94816213e-15\n 1.52165447e-04 1.60191763e-03 1.61807303e-03 1.66889884e-03\n 1.67850263e-03 4.20220637e-16 7.28239170e-05 2.52587373e-04\n 1.31915171e-05 1.14881980e-15 3.22432351e-04 1.42661512e-03\n 1.40965147e-03 1.46218737e-03 1.44401277e-03 1.81357125e-16\n 1.97798392e-04 1.14472465e-15 3.78279600e-13 7.02406109e-05\n 1.14472465e-15 1.81357125e-16 1.97798394e-04 3.78279600e-13\n 7.02406092e-05 3.36310276e-06 2.22704382e-06 3.76747166e-04\n 2.24871980e-06 1.33477961e-04 7.70986621e-17 1.01585184e-16\n 3.64746651e-16 4.84805700e-16 3.90795897e-16 5.21672289e-16\n 7.81386639e-01 5.21914061e-03 1.35050385e-02 1.67564042e-01\n 3.76458032e-15 2.37869529e-16 1.91077323e-04 7.92771941e-04\n 3.59771303e-03 3.35186260e-15 3.74511554e-03 2.84529118e-15\n 5.73777905e-03 1.53081527e-04 4.71125512e-16 3.49160853e-18\n 8.97881781e-19 7.82112225e-19 1.13598725e-14 9.98124041e-18\n 8.81003604e-19 1.70736750e-18 3.35494678e-18 4.19989814e-18\n 3.69457091e-18 8.81403874e-14 4.31501758e-17 4.14954932e-18\n 8.08598278e-18 1.55991036e-17 4.43788577e-18 3.88867885e-18\n 1.32286073e-13 3.56398984e-17 4.48072440e-18 8.57621714e-18\n 1.35425515e-17 1.05802112e-17 6.74678844e-19 1.26898441e-17\n 3.88643280e-18 3.50022322e-18 5.61680817e-17 2.62923702e-18\n 6.83377904e-17 1.83347087e-17 1.68908866e-17 1.21070932e-16\n 2.60316297e-18 1.39729389e-16 2.01065331e-17 2.42536331e-17\n 1.67471187e-01 1.67471187e-01 1.67471187e-01 2.97814851e-16\n 2.14879225e-18 2.51003890e-17 1.57921522e-18 1.37548231e-05\n 9.31077112e-19 1.67471187e-01 1.44505612e-15 9.89522219e-18\n 2.41743747e-16 7.48228212e-18 1.37548232e-05 4.39950096e-18\n 1.67471187e-01 1.67471187e-01 1.67471187e-01 1.56842135e-15\n 1.02641386e-17 1.13296944e-15 7.73550700e-18 1.37548232e-05\n 4.75291352e-18 1.67471187e-01 4.26590022e-16 3.41676981e-16\n 8.53486479e-17 3.42410935e-16 1.70892300e-16 7.60706319e-17\n 2.76215088e-15 1.15717110e-04 1.67554892e-01 9.21622855e-16\n 3.95463344e-03 6.94140112e-18 7.79020557e-18 6.86535775e-18\n 3.79970906e-03 7.60523977e-18 6.88592010e-18 7.31077789e-18\n 6.82334671e-18 2.90426140e-16 4.26533129e-17 2.27373726e-16\n 4.43162920e-01 1.07090635e-16 1.70699565e-15 3.92022431e-16\n 3.41390594e-15 1.67564042e-01 3.40985752e-15]"", ""info"": {""exitFlag"": 0, ""pcost"": -0.3109723730715808, ""dcost"": -0.3109723730715774, ""pres"": 5.789211882991651e-14, ""dres"": 1.826508911234163e-16, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.0003206791287170102, ""gap"": 1.1232754965048522e-10, ""relgap"": 3.61213919233363e-10, ""r0"": 1e-08, ""iter"": 24, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.013243999, ""tsetup"": 0.000483458, ""tsolve"": 0.012760541}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3262,cvxpy_osqp,unknown,NETLIB,tuff,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:10,0.29901909828186035,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3263,cvxpy_cvxopt,unknown,NETLIB,tuff,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:10,0.023814916610717773,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3264,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,tuff,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:11,0.08835721015930176,OPTIMAL (INACCURATE),0.3109723824609855,0.31164747044769137,-0.0006750879867058468,2.0354383390113876e-08,2.027337342839679e-07,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 0.31164747044769137, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3265,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,tuff,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:12,0.025947093963623047,OPTIMAL,0.31097237306963776,0.3109723730696373,4.440892098500626e-16,4.622979564909281,1.4828564908692273e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 0.3109723730696373, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3266,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,tuff,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:12,0.012173175811767578,OPTIMAL,0.3109723730696374,0.31097237306963743,-5.551115123125783e-17,1.9453669726150462,6.669255093752224e-17,387,"{""solver_solve_time"": 0.007540415972471237, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 0.31097237306963743, ""solver_stats"": {""solve_time"": 0.007540415972471237, ""num_iters"": 387, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3267,scipy_linprog,scipy-1.15.3,NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:13,0.0029287338256835938,OPTIMAL,129831.46246136136,,,0.0,,26,"{""solver_solve_time"": 0.0029287338256835938, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. 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1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:13,0.006175041198730469,OPTIMAL,-75629.74539534317,129831.43004374423,-205461.17543908738,0.7578924417624203,4.845406298414901e-09,24,"{""solver_solve_time"": 0.003271422, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 129831.43004374423, ""solver_stats"": {""solve_time"": 0.003271422, ""num_iters"": 24, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3269,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, 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""tsetup"": 0.000237375, ""tsolve"": 0.003047875}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3271,cvxpy_osqp,unknown,NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:17,0.07527899742126465,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3272,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:18,1.2436439990997314,OPTIMAL,-75629.8006349619,129831.46136389572,-205461.2619988576,0.7578927575676969,3.172065784643304e-17,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 129831.46136389572, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +3273,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:19,0.03510570526123047,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3274,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:20,0.012531757354736328,OPTIMAL,0.0,129831.46246136131,-129831.46246136131,0.39001345757760447,6.14439980270747e-13,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 129831.46246136131, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3275,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:20,0.0040988922119140625,OPTIMAL,-75629.80225019866,129831.46246136131,-205461.26471155998,0.757892767506327,1.192753385232705e-12,76,"{""solver_solve_time"": 0.0009567495435476303, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 129831.46246136131, ""solver_stats"": {""solve_time"": 0.0009567495435476303, ""num_iters"": 76, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3276,scipy_linprog,scipy-1.15.3,NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:21,0.05797600746154785,OPTIMAL,1.4429024115734075,,,0.0,,249,"{""solver_solve_time"": 0.05797600746154785, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1.4429024115734075, ""scipy_nit"": 249, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3277,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:22,0.11844611167907715,OPTIMAL,1.4429024115745313,1.4429024115742952,2.360334150353083e-13,1.0086618324004113e-09,1.6828891483741273e-12,19,"{""solver_solve_time"": 0.097755, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.4429024115742952, ""solver_stats"": {""solve_time"": 0.097755, ""num_iters"": 19, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3278,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, 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-1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.08480083299999999, ""tsetup"": 0.00617825, ""tsolve"": 0.078622583}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3280,cvxpy_osqp,unknown,NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:26,1.5873661041259766,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3281,cvxpy_cvxopt,unknown,NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:27,0.13752007484436035,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3282,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:28,0.47776174545288086,OPTIMAL (INACCURATE),1.4970448855018776,1.4349083897954809,0.06213649570639679,9.307795582421706e-05,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 1.4349083897954809, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3283,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:29,0.2325267791748047,OPTIMAL,0.0,1.4429024115734084,-1.4429024115734084,0.6239738610667707,7.460363297098918e-15,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.4429024115734084, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3284,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:30,0.06067991256713867,OPTIMAL,1.4429024115734097,1.4429024115734088,8.881784197001252e-16,1.8906863934898224e-13,8.520055938596619e-15,325,"{""solver_solve_time"": 0.038963375613093376, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.4429024115734088, ""solver_stats"": {""solve_time"": 0.038963375613093376, ""num_iters"": 325, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3285,scipy_linprog,scipy-1.15.3,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:31,0.11318826675415039,OPTIMAL,1.3044763330842293,,,0.0,,835,"{""solver_solve_time"": 0.11318826675415039, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1.3044763330842293, ""scipy_nit"": 835, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3286,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:33,0.1478419303894043,OPTIMAL,1.3044763331010567,1.3044763330989166,2.1400659022674517e-12,5.7459523472539336e-09,1.6237271724089405e-11,28,"{""solver_solve_time"": 0.104893335, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.3044763330989166, ""solver_stats"": {""solve_time"": 0.104893335, ""num_iters"": 28, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3287,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:57,23.676369190216064,OPTIMAL (INACCURATE),1.3065272892278705,1.3065284284107943,-1.1391829237705764e-06,2.625424121328264e-05,0.008779224090687026,100000,"{""solver_solve_time"": 23.620186541, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 1.3065284284107943, ""solver_stats"": {""solve_time"": 23.620186541, ""setup_time"": 0.012650208, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ -0.56071034 -0.39218761 -25.02344419 ... 0.36481333 1.11669316\n 1.89285805]"", ""y"": ""[ 3.37872010e-22 0.00000000e+00 0.00000000e+00 ... -2.85050983e-19\n 0.00000000e+00 0.00000000e+00]"", ""s"": ""[ 0.07710824 0.02596714 24.67025347 ... 0.36481333 1.11669316\n 1.89285805]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 2, ""scale"": 0.0056756558111594425, ""pobj"": -1.306528428410794, ""dobj"": -1.3065272892278703, ""res_pri"": 0.020425649441156997, ""res_dual"": 4.3158425964913504e-05, ""gap"": 1.1391829238382094e-06, ""res_infeas"": NaN, ""res_unbdd_a"": 0.7653896214539434, ""res_unbdd_p"": 0.0, ""comp_slack"": 5.160190095811111e-17, ""solve_time"": 23620.186541, ""setup_time"": 12.650208, ""lin_sys_time"": 19673.686871999773, ""cone_time"": 1314.1311330000044, ""accel_time"": 345.64353400011515, ""rejected_accel_steps"": 898, ""accepted_accel_steps"": 105, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +3288,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:59,0.13390827178955078,OPTIMAL,1.304476333085859,1.304476333085653,2.0605739337042905e-13,5.506424786614325e-10,1.9252305918164003e-12,27,"{""solver_solve_time"": 0.086522375, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.304476333085653, ""solver_stats"": {""solve_time"": 0.086522375, ""setup_time"": 0.007273791, ""num_iters"": 27, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-0.55224999 -0.39110875 -0.84833556 ... 0.3723389 1.10683719\n 1.87796092]"", ""y"": ""[]"", ""z"": ""[1.89298143e-14 6.03016282e-14 2.84806783e-15 ... 3.77463107e-15\n 1.27119485e-15 7.49408281e-16]"", ""s"": ""[0.07432211 0.02329598 0.49205902 ... 0.3723389 1.10683719 1.87796092]"", ""info"": {""exitFlag"": 0, ""pcost"": -1.304476333085653, ""dcost"": -1.3044763330858589, ""pres"": 1.0003503730359844e-14, ""dres"": 1.0302418845355245e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.338658530267785, ""gap"": 6.817345804965624e-09, ""relgap"": 5.226116896149155e-09, ""r0"": 1e-08, ""iter"": 27, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.093796166, ""tsetup"": 0.007273791, ""tsolve"": 0.086522375}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3289,cvxpy_osqp,unknown,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:22:02,1.810049057006836,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3290,cvxpy_cvxopt,unknown,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:22:40,37.15221667289734,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3291,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:22:42,0.520439863204956,OPTIMAL (INACCURATE),1.3044765161279035,1.304476257296558,2.588313454676694e-07,2.542017664366333e-10,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 1.304476257296558, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3292,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:22:43,0.30681300163269043,OPTIMAL,0.0,1.3044763330842293,-1.3044763330842293,48.74769235366084,5.20335333754562e-16,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.3044763330842293, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3293,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:22:45,0.15031099319458008,OPTIMAL,1.3044763330842295,1.3044763330842295,0.0,3.496126076567722e-14,1.9824826649222433e-16,1406,"{""solver_solve_time"": 0.09400779195129871, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.3044763330842295, ""solver_stats"": {""solve_time"": 0.09400779195129871, ""num_iters"": 1406, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3294,matlab_sedumi,unknown,NETLIB,afiro,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:16:25,180.0,TIMEOUT,,,,,,,"{""timeout_duration"": 180.0, ""problem_class"": ""LP""}" +3295,matlab_sdpt3,unknown,NETLIB,afiro,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:19:40,180.0,TIMEOUT,,,,,,,"{""timeout_duration"": 180.0, ""problem_class"": ""LP""}" +3296,matlab_sedumi,unknown,NETLIB,afiro,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": 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(INACCURATE),-109585.8839445787,-109585.88379151354,0.00015306516434065998,1.6955507835554558e-07,1.8660279748246387e-09,34,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal (inaccurate)"", ""solve_time"": 0.89242675, ""setup_time"": [], ""iterations"": 34, ""primal_objective_value"": -109585.8839445787, ""dual_objective_value"": -109585.88379151354, ""duality_gap"": 0.00015306516434065998, ""primal_infeasibility"": 1.6955507835554558e-07, ""dual_infeasibility"": 1.8660279748246387e-09, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Numerical problems warning (low accuracy)"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:42:04"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""iter"": 34, ""feasratio"": 0.8110653185788748, ""full_info"": {""iter"": 34, ""feasratio"": 0.8110653185788748, ""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""r0"": 4.27928290857045e-07, ""timing"": [0.05988702178001404, 0.8127395063638687, 0.003289058804512024], ""wallsec"": 0.8759155869483948, ""cpusec"": 2.2199999999999998}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""iter"": 34, ""feasratio"": 0.8110653185788748, ""full_info"": {""iter"": 34, ""feasratio"": 0.8110653185788748, ""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""r0"": 4.27928290857045e-07, ""timing"": [0.05988702178001404, 0.8127395063638687, 0.003289058804512024], ""wallsec"": 0.8759155869483948, ""cpusec"": 2.2199999999999998}}, ""problem_class"": ""LP""}" +3371,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", 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""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:42:15,3.4723241329193115,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""Error: Index exceeds the number of array elements. 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""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:42:55,25.322530208333333,MAX_ITER,-2.2580687378117503e-17,0.0,2.2580687378117503e-17,0.9999648103997207,0.0007446047006291459,100,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""max_iter"", ""solve_time"": 25.322530208333333, ""setup_time"": [], ""iterations"": 100, ""primal_objective_value"": -2.2580687378117503e-17, ""dual_objective_value"": 0, ""duality_gap"": 2.2580687378117503e-17, ""primal_infeasibility"": 0.9999648103997207, ""dual_infeasibility"": 0.0007446047006291459, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Maximum number of iterations reached"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:42:53"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -6, ""iter"": 100, ""full_info"": {""dimacs"": [2.380139606272587, 0, 1029.533221093412, 0, -2.2580687378117515e-17, 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"2025-08-06T01:09:44.144398", - "total_results": 2117, + "generated_at": "2026-07-05T23:24:16.232083", + "total_results": 3164, "export_format": "sanitized_benchmark_results", "version": "2.0", "full_environment_info": false, "data_scope": "all" }, "summary": { - "total_results": 2117, + "total_results": 3164, "total_solvers": 11, - "total_problems": 120, - "success_rate": 0.49330514446793516, - "avg_solve_time": 49.719333185776776, - "successful_results": 700, - "unsupported_results": 698, - "applicable_results": 1419, + "total_problems": 214, + "success_rate": 0.5829614604462474, + "avg_solve_time": 28.969758585730663, + "successful_results": 1437, + "unsupported_results": 699, + "applicable_results": 2465, "problem_type_distribution": { - "UNKNOWN": 163, - "SOCP": 344, - "SDP": 1610 + "UNKNOWN": 196, + "SOCP": 346, + "SDP": 1617, + "LP": 1005 }, "library_distribution": { - "DIMACS": 765, - "SDPLIB": 1352 + "DIMACS": 774, + "SDPLIB": 1352, + "NETLIB": 1038 }, "status_distribution": { - "ERROR": 216, - "OPTIMAL": 700, - "UNBOUNDED": 1, - "OPTIMAL (INACCURATE)": 154, - "UNSUPPORTED": 698, - "NUM_ERROR": 92, - "TIMEOUT": 111, - "MAX_ITER": 23, + "ERROR": 338, + "OPTIMAL": 1437, + "UNBOUNDED": 33, + "OPTIMAL (INACCURATE)": 205, + "UNSUPPORTED": 699, + "NUM_ERROR": 93, + "TIMEOUT": 116, + "MAX_ITER": 40, "UNKNOWN": 72, - "INFEASIBLE": 13, + "INFEASIBLE": 43, "UNBOUNDED (INACCURATE)": 2, - "SUBPROCESS_ERROR": 13, - "SIGKILL": 22 + "SUBPROCESS_ERROR": 48, + "SIGKILL": 22, + "STALLED": 15, + "OPTIMAL_INACCURATE": 1 }, "solver_names": [ "cvxpy_clarabel", @@ -54,11 +58,26 @@ "scipy_linprog" ], "problem_names": [ + "adlittle", + "afiro", + "agg", + "agg2", + "agg3", "arch0", "arch2", "arch4", "arch8", + "bandm", + "beaconfd", + "blend", "bm1", + "bnl1", + "bnl2", + "boeing1", + "boeing2", + "bore3d", + "brandy", + "capri", "control1", "control10", "control11", @@ -72,10 +91,28 @@ "control9", "copo14", "copo23", + "cycle", + "czprob", + "d2q06c", + "d6cube", + "degen2", + "degen3", + "dfl001", + "e226", "equalG11", "equalG51", + "etamacro", "fap09", + "fffff800", "filter48", + "finnis", + "fit1d", + "fit1p", + "fit2d", + "fit2p", + "forplan", + "ganges", + "gfrd_pnc", "gpp100", "gpp124-1", "gpp124-2", @@ -89,6 +126,11 @@ "gpp500-2", "gpp500-3", "gpp500-4", + "greenbea", + "greenbeb", + "grow15", + "grow22", + "grow7", "hamming_7_5_6", "hamming_8_3_4", "hamming_9_8", @@ -109,6 +151,11 @@ "hinf7", "hinf8", "hinf9", + "israel", + "kb2", + "lotfi", + "maros", + "maros_r7", "maxG11", "maxG32", "maxG51", @@ -126,13 +173,25 @@ "mcp500-3", "mcp500-4", "minphase", + "modszk1", "nb", "nb_L1", "nb_L2", "nb_L2_bessel", + "nesm", + "netlib_25fv47", + "netlib_80bau3b", + "netlib_truss", "nql180", "nql30", "nql60", + "perold", + "pilot", + "pilot4", + "pilot87", + "pilot_ja", + "pilot_we", + "pilotnov", "qap10", "qap5", "qap6", @@ -143,6 +202,16 @@ "qpG51", "qssp30", "qssp60", + "recipe", + "sc105", + "sc205", + "sc50a", + "sc50b", + "scagr25", + "scagr7", + "scfxm1", + "scfxm2", + "scfxm3", "sched_100_100_orig", "sched_100_100_scaled", "sched_100_50_orig", @@ -151,7 +220,32 @@ "sched_200_100_scaled", "sched_50_50_orig", "sched_50_50_scaled", + "scorpion", + "scrs8", + "scsd1", + "scsd6", + "scsd8", + "sctap1", + "sctap2", + "sctap3", + "seba", + "share1b", + "share2b", + "shell", + "ship04l", + "ship04s", + "ship08l", + "ship08s", + "ship12l", + "ship12s", + "sierra", "ss30", + "stair", + "standata", + "standgub", + "standmps", + "stocfor1", + "stocfor2", "theta1", "theta2", "theta3", @@ -173,130 +267,134 @@ "truss6", "truss7", "truss8", - "truss8_sdp" + "truss8_sdp", + "tuff", + "vtp_base", + "wood1p", + "woodw" ] }, "solver_comparison": [ + { + "solver_name": "cvxpy_highs", + "problems_attempted": 245, + "problems_applicable": 97, + "problems_solved": 88, + "problems_unsupported": 148, + "success_rate": 0.9072164948453608, + "avg_solve_time": 0.23381964281985634, + "min_solve_time": 5.793571472167969e-05, + "max_solve_time": 4.440495014190674 + 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"dres": 1.428244833083577e-12, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": NaN, + "dinfres": 0.5679973734044028, + "gap": 3.96508931625109e-05, + "relgap": 7.206834571871926e-09, + "r0": 1e-08, + "iter": 23, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.06362683300000001, + "tsetup": 0.002057708, + "tsolve": 0.061569125 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2497, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "netlib_25fv47", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": 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2.67639935e+00, -1.29588034e+00, -1.49348137e+00, -1.35102898e+00,\n 5.91105387e-01, 5.91105386e-01, 5.91105372e-01, 5.91104880e-01,\n 2.80125555e+00, 4.30840481e+00, 4.59874168e+00, 4.99907259e+00,\n 5.67806847e+00, 6.14041485e-01, 5.77631125e-01, 5.84202044e-01,\n 5.49788521e-01, 5.53787178e-01, 6.86769272e-01, 6.73476495e-01,\n 5.01748308e-01, 4.38633374e-01, 9.30264088e-01, 5.81259477e+00,\n 5.60490785e+00, 4.85263934e+00, 2.39161585e+00, 4.62734886e+00,\n 2.80430288e+00, 5.70377158e-01, 5.70377276e-01, 6.04345410e-01,\n 4.96726859e-01, 5.23248421e-01, 5.23245176e-01, 6.54368212e-01,\n 5.15945933e-01, 4.10150254e-01, 1.43581566e+00, 5.39616299e-01,\n 4.96727489e-01, 9.49249069e-01, -3.26362543e+00, -3.58297756e+00,\n -3.61602069e+00, -3.89459954e+00, -3.07794504e+00, -4.06130956e+00,\n -3.76492483e+00, -3.91408091e+00, -3.30535041e+00, 3.95301156e+00,\n 3.95301150e+00, 2.70416007e+00, 4.58658864e+01, 6.77259357e+00,\n 1.07633568e+01, 8.07566559e+00, 9.45817089e+00, 2.53758267e+01,\n 7.10233609e+00, 6.77260152e+00, 2.53189159e+00, 2.40087965e+00,\n 2.74883060e+00, 8.33376742e+00, 5.86865757e+00, 5.89039981e+00,\n 5.89040437e+00, 5.86865730e+00, 5.90171399e+00, 5.69177182e+00,\n 5.69259466e+00, 5.72563706e+00, 2.15383503e+00, 2.28524818e+00,\n 2.28990862e+00, 2.27888134e+00, 2.06867546e+00, 5.91547556e+00,\n 5.79755497e+00, 5.66474787e+00, 6.95664515e+00, 5.67064698e+00,\n 5.86275924e+00, 2.83763284e+00, 2.39450471e+00, 2.66899982e+00,\n 2.56986278e+00, 2.68484825e+00, 2.58099638e+00, 5.88786555e+00,\n 6.71698888e+00, 5.78734578e+00, 2.83764645e+00, 3.01730073e+00,\n 1.97695480e+00, 2.09955483e+00, 2.12413283e+00, 2.45711356e+00,\n 2.42930425e+00, 2.12568840e+01, 1.67496396e+01, 2.31306286e+00,\n 2.36339855e+00, 9.44363019e+00, 9.35476618e+00, 8.86287508e+00,\n 8.99999207e+00, 7.63147556e+00, 8.00002644e+00, 1.85253168e+01,\n 9.04176477e+00, 1.09735881e+01, 6.77259737e+00, 6.77260190e+00,\n 6.71354613e+00, 7.09232035e+00, 7.09232767e+00, 5.79974298e+00,\n 5.71497232e+00, 5.54367221e+00, 5.58454706e+00, 5.68463122e+00,\n 5.62893705e+00, 4.67155171e+00, 3.62912122e+00, 3.62913713e+00,\n 2.35507553e+00, 2.33031972e+00, 2.35807747e+00, 2.45640314e+00,\n 2.38638359e+00, 2.46419193e+00, 2.51404702e+00, 2.49047087e+00,\n -9.45277133e-02, -7.85814324e-02, -5.04227509e-02, 7.87054445e+00,\n 2.33031277e+00, 2.97788649e+00, 2.70316162e+00, 2.70316086e+00,\n -3.71322826e+00, -3.29038916e+00, -3.64258201e+00, -3.80015747e+00,\n -3.37411616e+00, -3.63835226e+00, -4.08820584e+00, -4.09914486e+00,\n 3.21819669e+00, 3.70391792e+00, 3.70391754e+00, 5.69862941e+00,\n 6.56115464e+00, 6.56115493e+00, 6.56115297e+00, 6.56115542e+00,\n 6.56115531e+00, 5.66019740e+00, 5.48199281e+00, 5.48199419e+00,\n 5.50978047e+00, 5.50978042e+00, 5.53439488e+00, 5.92821471e+00,\n 5.53439681e+00, 5.49941062e+00, 4.47027845e+00, 4.51405559e+00,\n 4.74141132e+00, 2.75036363e+00, 2.62168473e+00, 2.85632196e+00,\n 2.64592333e+00, 2.53306892e+00, 3.33845307e+00, 3.07194192e+00,\n 2.76855168e+00, 3.35625669e+00, 4.46040312e+00, 4.40861608e+00,\n 2.32144770e+00, 2.46544620e+00, 2.50714449e+00, 2.45335452e+00,\n 2.60363390e+00, 2.62814188e+00, 7.85500361e+00, 8.78745068e+00,\n 5.41460998e+00, 5.54435755e+00, 4.06175375e+00, 4.21901082e+00,\n 2.70436584e+00, -7.99857606e+00, -9.59138303e+00, -9.86440091e+00,\n 9.43335638e+00, 8.49371407e+00, 8.66863346e+00, 7.39247201e+00,\n 7.77843282e+00, 7.02302290e+00, 6.56115933e+00, 6.83082517e+00,\n 6.60944645e+00, 5.59186461e+00, 5.52888494e+00, 5.44320432e+00,\n 5.36540522e+00, 5.37683089e+00, 5.39169311e+00, 5.31974146e+00,\n 3.41961024e+00, 3.43275835e+00, 2.80487091e+00, 2.98698745e+00,\n 2.70436016e+00, 2.74033676e+00, 2.90176960e+00, -1.32511921e-01,\n -5.59362850e-02, -2.67823743e+00, -3.03444707e+00, -3.02907882e+00,\n -3.01230401e+00, -3.54655773e+00, -2.76017244e+00, -3.31958989e+00,\n -3.45002647e+00, 1.29507430e+00, 1.33973220e+00, 5.27204098e+00,\n 5.28022122e+00, 6.21531884e+00, 6.21533155e+00, 5.59346361e+00,\n 5.59346166e+00, 5.59346367e+00, 5.32029497e+00, 5.18998030e+00,\n 3.62680367e+00, 2.72180956e+00, 3.50374782e+00, 2.22810066e+00,\n 3.71895321e+00, 2.45523152e+00, 1.70089791e+00, 1.09814538e+00,\n 1.27349511e+00, 1.26053918e+00, 1.47945621e+00, 1.04644062e+00,\n 1.44126889e+00, 1.11644368e+00, 7.03520433e+00, 6.40980252e+00,\n 5.11296069e+00, 7.40752814e+00, 5.93233988e+00, 6.13972192e+00,\n 5.44048452e+00, 5.26746003e+00, 4.00966299e+00, 4.09500670e+00,\n 1.02802728e+00, 3.38012052e+00, 1.11644205e+00, 9.49016445e-01,\n 1.38897605e+00, 1.36050633e+00, 2.13719437e+00, -6.56266190e-02,\n -3.65504803e-02, 7.66917084e+00, 6.47207345e+00, 7.31585050e+00,\n 6.78116536e+00, 5.34025117e+00, 1.49637715e+00, 1.18107362e+00,\n 1.28760178e+00, 8.10837434e+00, 7.54440103e+00, 7.69089046e+00,\n 7.23612286e+00, 5.93704237e+00, 5.75109135e+00, 5.35870923e+00,\n 2.15998224e+00, 2.06407165e+00, 1.71392557e+00, 1.62663043e+00,\n 1.63253749e+00, 2.26650636e+01, 1.81578192e+01, 6.80144424e+00,\n 5.75823545e+00, 5.90175662e+00, 2.80890949e+00, 5.87977928e+00,\n 2.22156026e+00, 1.95187355e+00, 1.95187377e+00, 3.18819860e+00,\n 4.65654602e+00, 2.62750154e+00, 2.39282831e+00, 6.68144502e+00,\n 3.91307802e+00, -6.21078373e+00, -4.72475473e+00, -3.89283520e+00,\n -9.41345448e-01, -1.96315976e+01, -1.55722839e+01, -6.76835991e+00,\n -5.97614495e+00, -5.15259102e+00, -4.83411321e+00, -3.48859371e+00,\n -9.23461907e-01, -7.76273972e-01, -2.63215045e+00, -2.27498059e+00,\n -1.00000000e-03, 1.08038764e-07, 1.43253565e-05, 2.55661284e-05,\n -6.94295691e-07, -2.33792221e-07, -4.13479358e-01, -4.50570990e-07,\n -4.10090643e-06, 2.49053603e-09, 2.75663754e-06, -3.12313531e-02,\n -7.21540631e-02, -2.10582208e-03, -1.90472242e-02, -1.05739558e-08,\n -1.89711945e-02, -3.32927334e-02, -8.63095177e-08, -1.62754102e-02,\n -5.49201150e-08, 2.43463910e-06, -1.75433501e-07, 1.34279904e-06,\n 7.97289392e-08, -1.46921805e-06, -6.58836600e-03, -1.53810388e-03,\n -2.02513114e-07, -7.67222886e-04, -2.08244118e-03, -1.47292326e-02,\n -3.39771550e-02, 7.76494828e-08, 5.68622313e-08, -4.08273310e-08,\n 4.18068321e-08, -8.36402364e-04, -5.28924530e-03, -4.33266233e-03,\n -2.32747606e-02, 1.68088930e-08, 3.74982230e-07, 3.50623579e-07,\n -2.32748569e-02, -8.35869938e-08, 1.98155425e-07, 1.71043493e-07,\n 1.02788925e-05, -7.24631485e-01, -2.83965194e-01, -5.51567769e-07,\n 7.98030278e-05, -7.37404790e-01, -2.56052312e-01, -4.46452369e-01,\n -5.06968262e-01, 1.47339923e-06, -2.55719216e-02, 3.78868341e-07,\n 4.03255585e-07, -2.48252320e-02, 2.70352714e-08, 4.81775596e-06,\n 6.41740875e-09, -3.56060666e-04, 2.60255738e-06, -9.52067251e-03,\n 2.32184424e-06, 1.35059978e-05, 1.62891421e-07, -7.52548116e-07,\n -2.11401452e-06, -9.15420193e-03, -2.70935705e-04, 2.93694131e-06,\n 1.52476686e-06, 1.96466984e-06, -9.07600203e-02, -6.75298469e-08,\n -1.93297388e-03, -1.09370823e-01, -7.29124511e-04, -1.58782786e-02,\n -6.99940803e-02, 3.85583404e-06, -3.17610915e-03, -2.08755165e-05,\n -4.95154236e-06, -9.27552315e-02, -2.08583601e-09, -7.12317468e-03,\n -6.37427528e-03, -9.02376217e-01, -4.78687731e-07, -1.57846084e-05,\n -3.32036969e-01, -1.11945302e-01, -1.29250543e-06, -3.68960220e-03,\n -3.19222894e-06, -1.33312737e-06, -7.77119011e-08, -1.18095596e-05,\n 3.27827438e-05, -3.27827438e-05, -9.43410098e-07, -4.10271181e-07,\n 5.13302841e-11, -1.42703405e-07, -3.20686365e-02, -3.16782107e-02,\n -2.61144412e-07, -3.56459464e-02, -1.67930847e-02, -2.70111533e-02,\n 7.50960282e-07, -2.35031971e-06, 3.32245240e-06, -4.85265082e-03,\n 3.37003305e-06, 8.63577598e-06, -4.48767507e-07, 9.73320991e-07,\n 8.93709150e-07, -1.26279883e-03, -3.49867826e-06, 7.07326548e-07,\n -5.76099530e-07, -4.73538990e-03, -4.63272871e-07, 8.44054966e-07,\n -1.21780072e-05, -5.18854145e-01, -7.82530511e-08, 5.34759142e-06,\n 3.98493800e-07, -1.32773002e-01, 1.27573903e-05, 5.29070543e-10,\n -5.67870349e-07, -2.46417334e-01, -2.46413295e-01, -3.86013451e+00,\n 1.53354031e-08, -6.21816663e-03, -2.18561451e-02, -1.69373273e-07,\n 3.83122198e-05, -3.24235493e-03, -2.15484635e-02, -1.10553517e-09,\n -2.15874090e-01, -1.39873086e-02, -2.18162200e-02, -5.16469113e-06,\n -2.54897787e-07, -1.00132807e-02, -1.32154854e-06, 1.39528233e-06,\n 4.45333903e-07, 2.56841434e-07, -4.39124853e-03, -2.31879500e-02,\n -4.06891262e-07, 6.09764760e-06, -3.39519263e-06, -1.34423280e-02,\n -8.34454204e-03, -8.85648101e-02, -2.74752802e-02, 9.83441135e-07,\n 2.76961402e-07, -3.19235077e-02, -1.00041638e-03, -5.55145017e-03,\n -1.52557667e-01, -1.01987663e-05, -4.41790151e-07, 4.10325038e-05,\n -2.14741918e-06, 7.75001017e-06, -1.76785234e-05, 7.26959591e-06,\n 1.06415844e-05, 9.42835328e-06, -1.14941431e-01, 2.05594561e-07,\n 1.15121107e-06, -3.28154832e-02, -1.77543845e-06, -1.36736586e-03,\n -6.07634686e-03, -8.26598407e-07, -2.15120203e-08, -1.22960828e+01,\n -1.46722327e-07, -3.55930809e+00, -7.20148942e-01, -4.61863985e-01,\n -6.87075414e-01, 1.22595775e-07, 1.09805314e-07, -3.82633254e-01,\n -8.77974737e-01, -5.02287499e-01, -4.49634939e-08, -4.08793993e-04,\n -1.52714165e-02, -3.55097165e-02, -2.87050975e-07, -1.30088004e-02,\n -5.39524334e-06, 1.50574105e-06, -9.24043202e-03, -3.86449457e-06,\n -2.61834550e-03, 4.77559449e-06, -1.17548489e-02, -7.76841371e-03,\n 1.66964575e-06, 2.18780053e-06, 8.70414974e-06, 4.14973785e-07,\n -4.95214367e-03, -8.46459144e-03, -2.16725781e-08, 2.08379946e-07,\n -9.65029449e-02, -7.95349675e-07, -6.58113086e-03, -1.18903613e-01,\n -1.65939386e-06, -9.41035086e-02, -5.45390337e-08, -6.69859096e-03,\n -3.64107164e-07, -8.41551075e-07, -8.81817248e-02, 7.94741085e-07,\n -6.54766658e-03, 7.04207190e-07, 2.97841497e-06, 1.82950632e-06,\n 6.14218677e-12, -3.03254561e-05, -9.89142880e-07, -2.43776678e-06,\n -2.83943699e-06, -2.64255790e-08, 3.12761557e-08, -2.79093427e-02,\n -1.15224778e-02, -3.29402754e-02, -2.79140963e-06, -3.41373680e-02,\n -5.16934009e-03, -7.40077885e-02, -2.44392079e-06, -1.05281021e-06,\n -6.94535172e-06, -2.18334227e-07, -4.11427168e-02, -1.89716129e-06,\n -3.56214447e-07, 7.55876800e-06, -8.73396585e-02, 1.68751431e-07,\n 2.95454241e-07, -1.04354503e-06, 8.81665213e-06, -8.73429064e-02,\n 1.15567492e-06, 1.98334816e-06, 2.92449173e-07, -1.31202739e-05,\n -4.07624895e-07, 5.19718253e-07, 5.36688789e-08, 3.43345835e-07,\n -5.80844652e-02, -4.88029973e-02, -1.28641881e-02, -1.97512808e-02,\n -1.89118472e-02, -2.63257074e-02, 6.98523457e-05, 3.90216891e-06,\n -3.96339371e-06, 1.32213261e-05, -2.27402741e-01, -9.07672310e-01,\n -7.41764542e-01, -3.15369058e-01, 1.73866444e-07, -1.80107895e-07,\n -2.95088537e+00, -2.36322654e+00, -3.39389663e+00, -3.23385529e+00,\n -2.96036115e+00, -3.10586498e+00, -3.07924484e+00, -3.15016324e+00,\n -2.67574565e+00]), y=array([3.10545651e+02, 2.57462060e+02, 2.01170325e-16, ...,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00], shape=(1876,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1876,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 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8.40440206e+02 2.92183849e+02 5.28804157e+01 5.72834897e+02\n 7.91944790e+02 8.41244076e+02 2.35589721e+02 7.37411999e+02\n 1.20884074e+03 1.16575119e+03 6.65926987e+02 5.40878592e+02\n 5.08263209e+02 5.49764434e+02 1.66512675e+03 4.42119173e+02\n 5.92335891e+02 1.56649551e+03 9.65060682e+02 8.80158662e+02\n 9.65084835e+02 6.54976262e+02 3.81294418e+03 3.25612299e+03\n 5.00911552e+02 3.05063503e+03 1.72577247e+03 1.98664192e+03\n 1.78612937e+04 4.26998048e+02 5.16604100e+03 3.47454997e+03\n 2.20973507e+04 6.55250667e-08 1.06616542e+04 1.19263850e+03\n 3.82571651e+04 2.46420489e+04 6.55062894e-08 2.55191136e+03\n 1.53217330e+03 6.23974600e+03 5.19978999e+02 3.66816289e+02\n 3.38267502e+02 1.03995800e+03 5.66217290e+02 8.71489655e+02\n 7.77158461e+02 8.57061969e+01 5.96965186e+02 5.57669393e+02\n 4.58222664e+02 1.46109038e+03 1.85838521e+03 1.33967437e+03\n 4.04211067e+02 4.59307254e+02 4.72671028e+02 1.19075847e+03\n 1.11672551e+03 1.83781110e+03 1.04099987e+02 1.30437287e+03\n 2.64315091e+03 9.30908018e+02 3.17463344e+02 5.75837334e+01\n 6.34908660e+02 8.55204125e+02 9.41378705e+02 2.52285907e+02\n 8.12143924e+02 1.32827987e+03 1.26305631e+03 7.21795771e+02\n 5.98797923e+02 5.64046946e+02 6.08660592e+02 1.80285214e+03\n 4.89477782e+02 6.43166692e+02 1.69810919e+03 1.04872771e+03\n 9.53970069e+02 1.04787030e+03 7.10803435e+02 3.91291522e+03\n 3.40477799e+03 4.49400255e+02 3.18909607e+03 1.81109045e+03\n 8.91638975e+02 1.81642325e+04 1.37585361e+03 4.98067100e+03\n 4.45727844e+03 2.36253769e+04 3.90171252e+03 1.08944842e+04\n 1.16746904e+03 3.85050000e+04 2.57820795e+04 2.96450457e+03\n 2.55746692e+03 1.55600000e+03 6.23974600e+03 5.19978999e+02\n 3.84351428e+02 3.62042927e+02 1.03995800e+03 6.16704415e+02\n 9.18891138e+02 8.38022251e+02 2.05156052e+02 6.25785982e+02\n 5.97351413e+02 4.84905050e+02 1.54812862e+03 2.04081610e+03\n 1.39913479e+03 4.38586891e+02 4.91193874e+02 4.93982927e+02\n 1.26625249e+03 1.14517457e+03 1.91415830e+03 1.06815840e+02\n 1.30845605e+03 2.70359886e+03 9.92395144e+02 3.18067526e+02\n 1.09178939e+02 6.55351569e+02 8.99429743e+02 9.93161461e+02\n 2.75878158e+02 8.64307850e+02 1.35546479e+03 1.29500334e+03\n 7.23343714e+02 6.26267368e+02 5.97583059e+02 6.36486226e+02\n 1.80635505e+03 5.14754769e+02 6.68809034e+02 1.69806813e+03\n 1.05346530e+03 9.58364407e+02 1.05245060e+03 7.15221371e+02\n 4.05463003e+03 3.60240000e+03 7.06100000e+02 3.24395467e+03\n 1.89672009e+03 2.19928789e+03 2.02053626e+04 9.85169678e+02\n 5.70272987e+03 5.47677943e+03 2.57018087e+04 2.14505847e+03\n 1.13549379e+04 1.30721700e+03 3.99880000e+04 2.59293705e+04\n 1.34169820e+03 2.65968912e+03 1.61500000e+03 6.47973800e+03\n 5.39977999e+02 3.86536149e+02 3.61468574e+02 1.07995700e+03\n 6.13653513e+02 9.08033098e+02 8.36143781e+02 4.83474404e+01\n 6.25942438e+02 5.85508338e+02 4.71031921e+02 1.55165632e+03\n 1.91821756e+03 1.40325956e+03 4.22258757e+02 4.86955450e+02\n 5.19637991e+02 1.25960522e+03 1.17451227e+03 2.03804054e+03\n 1.10585808e+02 1.32279241e+03 2.74301992e+03 1.05744491e+03\n 3.30112190e+02 1.54138421e+02 6.65548491e+02 9.71913146e+02\n 1.00150520e+03 3.01791141e+02 9.24523647e+02 1.38862964e+03\n 1.37008352e+03 7.35908301e+02 6.41290297e+02 6.19787872e+02\n 6.41463592e+02 1.85555886e+03 5.43649136e+02 7.04808387e+02\n 1.76311558e+03 1.05360433e+03 9.81775491e+02 1.06249968e+03\n 7.22433633e+02 4.02461827e+03 3.60110000e+03 6.94400000e+02\n 3.46776911e+03 1.89901401e+03 1.52560535e+03 2.18578536e+04\n 1.32837651e+03 5.59043357e+03 5.09630285e+03 2.39979967e+04\n 3.84964883e+03 1.06393311e+04 1.48121900e+03 3.69830000e+04\n 2.43390722e+04 2.75570617e+03 2.45714185e+03 1.49200000e+03\n 1.99992000e+03 1.66659999e+02 2.35202323e+01 2.34658694e-09\n 3.33320000e+02 5.65710662e+02 8.66334650e+02 7.55587656e+02\n 3.79757842e-10 5.97567856e+02 5.45395542e+02 4.49617735e+02\n 1.43815019e+03 1.81989653e+03 1.33938150e+03 3.91199679e+02\n 4.47996251e+02 4.98132450e+02 1.17003088e+03 1.08365816e+03\n 1.88636733e+03 1.01788026e+02 1.20100890e+03 2.53274354e+03\n 9.78816114e+02 3.05515210e+02 1.42847978e+02 6.15688434e+02\n 8.99618345e+02 9.20230391e+02 2.64081662e+02 8.56146721e+02\n 1.28463620e+03 1.26870306e+03 6.75110332e+02 5.87947925e+02\n 5.65601831e+02 5.84884020e+02 1.67977873e+03 5.03034332e+02\n 6.38758470e+02 1.63251329e+03 9.63451011e+02 8.79325288e+02\n 9.65967571e+02 6.43822176e+02 3.84660409e+03 3.43440000e+03\n 6.40500000e+02 3.42399597e+03 1.81439900e+03 1.89520000e+03\n 8.43971903e-07 1.01752548e+02 1.43329153e-08 2.96321460e+05\n 1.40000000e+04 7.00000000e+03 1.44533828e-04 2.95553438e-04\n 1.14015805e-05 6.58910759e+04 3.05573715e+04 4.02138705e+04\n 1.44463407e+04 2.22716581e+04 6.96726409e-07 7.12564627e-07\n 2.37188304e-07 6.85465725e+02 2.12533709e-08 4.93302396e+02\n 4.00537403e-08 3.99043187e-08 3.26219197e-06 3.20818489e-06\n 5.08493652e-06 3.96724064e-08 3.96843263e-08 5.00273188e-06\n 4.99328768e-06 8.79851400e-06 7.35581385e-07 7.71889827e-07\n 7.18823987e-07 2.47047280e-07 2.06349208e+05 8.58008497e-08\n 4.76990097e-06 4.71960639e-06 3.44559469e-06 3.41643267e-06\n 4.20714118e-06 6.30745132e-06 6.29728946e-06 5.26679887e-06\n 5.26060858e-06 6.21959379e-06 3.98566122e-08 3.99476987e-08\n 5.31408848e-08 1.35564352e-08 5.92316980e-06 6.91372130e-07\n 2.58702388e-07 2.58995117e-07 2.28831720e-07 2.24225628e-07\n 4.40628481e-06 3.37170170e-07 3.36066943e-07 2.85044741e-07\n 2.83188088e-07 6.56564411e-06 2.89404287e+04 5.70940000e+02\n 1.43310724e-07 2.00000000e+03 3.19987994e-07 3.70508326e-08\n 1.33000000e+04 6.69998999e+03 1.04377487e-06 1.04354417e-06\n 2.36200651e-07 1.33300000e+05 6.66999300e+04 2.00000000e+05\n 1.00000000e+05 3.51733246e-07]", + "s": "[7.50320837e-11 5.39999996e-02 5.09999996e-02 4.89999996e-02\n 4.59999995e-02 1.46380382e-10 5.10347293e-11 2.68834068e-11\n 2.66177197e-11 9.42067267e-11 2.17074960e+00 5.38823098e-02\n 4.29999995e-02 4.10000006e-02 3.57658254e+01 1.33865651e-11\n 2.56173652e-11 4.80924371e-11 1.77153469e-09 3.39388827e+00\n 5.04386484e-11 1.96356255e-11 1.60007586e-11 1.60571671e-11\n 6.80226495e+01 8.20606737e-11 2.60585653e-10 2.57166089e-10\n 2.53192604e-10 1.14567789e-09 4.28177071e-10 5.51735415e-10\n 2.91613531e+01 3.64553247e-11 3.64555016e-12 2.25054219e-11\n 5.59903673e-12 1.06913206e-11 4.30054904e-11 3.00290541e-12\n 2.23855713e-11 5.06418920e-12 1.05520279e-11 4.67769790e-10\n 2.87347861e-10 3.02059226e-10 3.53057203e-10 4.64084437e-10\n 2.84031449e-10 2.98753885e-10 3.45690011e-10 8.89172277e+01\n 3.20649574e-11 7.86541819e-11 7.64565687e-11 3.41812017e-01\n 8.89352277e+01 1.79999982e-02 1.69999979e-02 1.59999979e-02\n 3.56812017e-01 8.89352277e+01 1.79999981e-02 1.69999978e-02\n 1.59999978e-02 3.46147027e-01 8.89172277e+01 6.21800672e-11\n 1.47659048e-10 1.41783712e-10 3.31147027e-01 1.89999988e-02\n 1.80000001e-02 1.69999982e-02 1.59999982e-02 1.49999980e-02\n 2.31271234e-09 2.81717515e-10 2.89490440e-10 2.85912642e-10\n 3.24228246e-10 1.89999993e-02 1.80000032e-02 1.69999987e-02\n 1.59999985e-02 1.49999982e-02 4.53476521e-09 8.10785032e-10\n 6.33552247e-10 6.05176251e-10 6.11800341e-10 5.74559766e-11\n 6.93186330e-11 6.93946385e-11 6.93546911e-11 6.81431991e-11\n 6.04748322e-11 7.23484454e-11 7.21175260e-11 7.22832052e-11\n 7.29760371e-11 1.28394787e-09 1.33886592e+01 5.19999988e-02\n 4.89999988e-02 1.28281202e+00 8.89722277e+01 8.81574678e-12\n 1.14046817e-11 1.12931416e-11 1.23681202e+00 8.89912277e+01\n 1.79999985e-02 1.79999981e-02 1.69999981e-02 1.25181202e+00\n 8.89912277e+01 1.79999983e-02 1.79999979e-02 1.69999979e-02\n 1.24114703e+00 3.80378730e-10 1.33886592e+01 5.19999986e-02\n 4.89999986e-02 1.27214703e+00 8.89722277e+01 1.82198521e-11\n 2.27207571e-11 2.22660395e-11 1.22614703e+00 1.13002305e-11\n 5.39999957e-02 5.19999990e-02 4.89999989e-02 8.23763835e-01\n 1.06011307e-01 4.73910418e-12 5.38751873e-12 5.71279542e-12\n 7.77763835e-01 1.25011307e-01 1.79999946e-02 1.69999980e-02\n 1.59999978e-02 7.92763835e-01 1.25011327e-01 1.79999897e-02\n 1.69999981e-02 1.59999979e-02 7.92763834e-01 2.08780439e-11\n 5.39999904e-02 5.19999988e-02 4.89999987e-02 8.23763834e-01\n 1.06011327e-01 9.66428167e-12 1.06237821e-11 1.13033921e-11\n 7.77763834e-01 1.28500953e-11 7.73434489e-12 1.09363633e-11\n 1.08976408e-11 1.07705414e-11 4.90323503e-11 9.62686825e-03\n 2.59999992e-02 2.39999990e-02 2.29999991e-02 6.64111258e-10\n 1.14249862e-09 7.67933437e-10 1.25279736e-09 7.59559215e-09\n 8.01470927e-09 8.30005071e-09 8.96140738e-09 2.72860001e-10\n 6.52750474e-10 1.79913620e-09 8.42852184e-08 1.27031537e-09\n 2.22317048e-09 3.10934475e-09 8.54411841e-08 5.70516239e+01\n 5.06890598e-10 3.65891874e-10 3.18418269e-10 3.53173725e-10\n 1.27031537e-09 2.03785707e-09 1.71189966e-09 2.30879612e-09\n 3.94450571e-10 3.33541751e-09 3.24467342e-09 4.43167059e-09\n 1.48331917e+01 1.43114400e+04 1.67012314e-09 1.89302585e-09\n 2.31121336e-09 1.27031537e-09 1.43114400e+04 4.29117760e-09\n 4.15194858e-09 5.21889474e-09 1.27031537e-09 6.09837064e-09\n 5.63828118e-09 7.21485379e-09 1.62462624e+01 5.52631727e-09\n 7.40488942e-10 8.88042472e-10 1.12763538e-09 1.27031537e-09\n 2.35162519e-09 2.18912820e-09 3.30673043e-09 4.09307486e-08\n 9.42631199e-09 1.77048300e-09 2.01782676e-09 2.61654845e-09\n 1.27031537e-09 3.41016221e-09 3.39349643e-09 4.71782927e-09\n 8.00177148e-08 2.40265545e-09 2.91245900e-09 2.78317460e-09\n 2.86080222e-09 1.55140051e-08 7.09106646e-09 1.03843414e-08\n 1.36822283e+02 1.00220159e-09 2.26983514e+02 2.63737330e-11\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 7.08034008e+02 3.03709185e-09 1.00080000e+02 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 9.33250175e+01 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 8.81486446e+01 1.12011355e+02\n 1.00318894e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 8.68218626e+01 1.13338137e+02 7.16846390e+02 3.27201564e-11\n 1.00080000e+02 1.00080000e+02 9.64508058e+01 1.03709194e+02\n 7.16846390e+02 4.89111759e-11 1.00080000e+02 1.00080000e+02\n 9.64600415e+01 1.03699958e+02 1.01209278e+02 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 9.63538568e+01 1.03806143e+02\n 1.01209278e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 9.63538568e+01 1.03806143e+02 1.00266302e+02 1.00205230e+02\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 1.11910411e+02 1.00080000e+02 1.00080000e+02 1.05342395e+02\n 2.48956799e+01 1.70001925e+02 4.98566645e-11 9.99336988e-10\n 1.68945320e-10 2.79319220e-10 4.38553892e-11 3.94564106e-10\n 9.06750147e-11 7.76799485e-10 2.61334410e-11 4.01580703e-11\n 1.79749485e-10 4.59754465e-10 6.26348924e-10 1.95284994e-10\n 5.47857651e-09 1.98297301e-09 1.97216058e-09 1.04580730e-09\n 1.10364729e-09 1.36806550e-08 2.13473848e-09 5.22252905e-10\n 2.04668652e-09 9.02000191e-10 5.26547668e-10 7.72974978e-10\n 3.83019664e-10 1.03816993e-09 7.89431214e-09 1.59335938e-09\n 1.09512385e-09 1.06265370e-09 3.48443853e-09 1.17855858e-09\n 7.61557588e-10 7.72749298e-10 1.39433991e-09 1.65525131e-09\n 1.73469141e-09 1.62939572e-09 5.60074192e-10 2.00511856e-09\n 1.49651054e-09 5.95633193e-10 9.62827373e-10 1.05628880e-09\n 9.63182072e-10 1.41699370e-09 2.37048578e-10 2.80470336e-10\n 1.61181245e-09 3.05508308e-10 5.03532687e-10 5.24733861e-11\n 1.05131160e-09 2.02122134e-10 4.93130438e-10 5.43523213e-11\n 5.12279275e-10 1.04188636e-10 7.80984509e-10 2.99045459e-11\n 4.56610345e-11 6.49237569e-10 4.47070660e-10 7.35184995e-10\n 2.36827211e-10 3.54767400e-09 1.61522314e-08 1.03644222e+00\n 1.24606922e-09 1.96698824e-09 1.27257801e-09 1.42441583e-09\n 1.55654968e-08 1.83571452e-09 1.97335770e-09 2.45504554e-09\n 7.54461887e-10 6.21017903e-10 8.51488097e-10 2.72511521e-09\n 2.39419088e-09 2.63740418e-09 9.25560220e-10 1.03126098e-09\n 6.21119398e-10 1.10608621e-08 8.70451002e-10 4.36812481e-10\n 1.24271122e-09 3.56976955e-09 1.94621348e-08 1.82237335e-09\n 1.31941803e-09 1.24173526e-09 4.41969986e-09 1.41581307e-09\n 8.66178552e-10 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8.50125364e+02 9.85464001e+02\n 2.49237655e+02 8.39531600e+02 1.35592585e+03 1.26891410e+03\n 7.23343714e+02 6.22046728e+02 5.89381802e+02 6.29300746e+02\n 1.80635505e+03 4.98753458e+02 6.46537126e+02 1.69656898e+03\n 1.04721484e+03 9.49480700e+02 1.04504102e+03 7.07102441e+02\n 4.05463003e+03 3.50071693e+03 7.90193499e-08 3.12171467e+03\n 1.89733701e+03 2.19928789e+03 2.02072517e+04 9.84547082e+02\n 5.70459635e+03 5.47677944e+03 2.57002848e+04 2.14248944e+03\n 1.13537153e+04 1.30721700e+03 3.96376588e+04 2.59303154e+04\n 1.34426724e+03 2.65992283e+03 1.58087981e+03 6.47973799e+03\n 5.39977998e+02 3.86802480e+02 3.61812969e+02 1.07995700e+03\n 6.08481339e+02 9.07837490e+02 8.28355035e+02 4.05282093e+01\n 6.25942438e+02 5.83224553e+02 4.71031921e+02 1.54435786e+03\n 1.91209784e+03 1.40207321e+03 4.20249331e+02 4.84105165e+02\n 5.16526049e+02 1.25411804e+03 1.17412323e+03 2.04221712e+03\n 1.06744393e+02 1.32027265e+03 2.74061403e+03 1.06057604e+03\n 3.29213575e+02 1.61637122e+02 6.65143604e+02 9.76080844e+02\n 1.00102470e+03 3.03588885e+02 9.29960010e+02 1.38820182e+03\n 1.37472718e+03 7.34862696e+02 6.41921959e+02 6.21458118e+02\n 6.40760355e+02 1.85399161e+03 5.43476432e+02 7.06119456e+02\n 1.76311558e+03 1.04948818e+03 9.78039031e+02 1.05850725e+03\n 7.18671227e+02 4.02461827e+03 3.56027764e+03 4.19001366e+02\n 3.46788552e+03 1.89901401e+03 1.52560535e+03 2.18609319e+04\n 1.32913474e+03 5.59328995e+03 5.09630285e+03 2.39912837e+04\n 3.85324040e+03 1.06342907e+04 1.48121900e+03 3.69830000e+04\n 2.43384270e+04 2.75211460e+03 2.45722670e+03 1.49200000e+03\n 1.99992000e+03 1.66659998e+02 2.35202323e+01 8.18111881e-09\n 3.33320000e+02 5.65710662e+02 8.66334650e+02 7.55587656e+02\n 1.20023459e-09 5.97567856e+02 5.45395542e+02 4.49617735e+02\n 1.43815019e+03 1.81989653e+03 1.33938150e+03 3.91199679e+02\n 4.47996251e+02 4.98132450e+02 1.17003088e+03 1.08279524e+03\n 1.88807816e+03 1.01788026e+02 1.19709808e+03 2.52904388e+03\n 9.80136645e+02 3.05515210e+02 1.44090568e+02 6.15068213e+02\n 9.00665191e+02 9.18347136e+02 2.63220757e+02 8.57318808e+02\n 1.28380814e+03 1.26947236e+03 6.73725425e+02 5.87092549e+02\n 5.64973429e+02 5.83147588e+02 1.67578635e+03 5.03551954e+02\n 6.37907494e+02 1.63251329e+03 9.60153394e+02 8.76413137e+02\n 9.62870765e+02 6.40823083e+02 3.84660409e+03 3.43440000e+03\n 6.40500000e+02 3.42401956e+03 1.81439900e+03 1.89520000e+03\n 2.84722446e-06 1.01752548e+02 5.13421137e-08 2.96321460e+05\n 3.12947906e-08 3.17303498e-08 2.16850325e-07 2.18254374e-07\n 2.09146673e-05 3.16720770e-08 3.16404268e-08 2.22452740e-07\n 2.22257269e-07 5.81477462e+04 2.40358274e-06 2.54140709e-06\n 8.22926563e-07 8.79063622e-08 7.38356102e-08 4.93302396e+02\n 1.37955938e-07 1.38481396e-07 3.70000000e+03 1.89999000e+03\n 3.00000000e+04 1.38113821e-07 1.37708189e-07 2.00000000e+05\n 1.00000000e+05 1.78147746e+05 2.54808132e-06 2.50757284e-06\n 2.49137649e-06 8.58711078e-07 2.06349208e+05 3.01308279e-07\n 1.64332098e-05 1.62591796e-05 1.16534866e-05 1.20641437e-05\n 4.52054233e-05 2.17921938e-05 2.17302773e-05 1.82012208e-05\n 1.80800793e-05 6.09289014e+04 1.40169838e-07 1.42047083e-07\n 1.84764533e-07 4.70743970e-08 2.04314844e-05 2.39342441e-06\n 9.01359296e-07 9.00546470e-07 7.80248942e-07 7.52314821e-07\n 1.79114157e-05 1.16808755e-06 1.16580403e-06 9.87659208e-07\n 9.82730043e-07 2.90443727e-05 2.90348859e+04 5.70939999e+02\n 5.02103632e-07 2.00000000e+03 1.11600625e-06 1.28712270e-07\n 1.29333335e+04 6.51110121e+03 3.76923467e-06 3.77025477e-06\n 8.22451868e-07 1.33300000e+05 6.66999300e+04 2.00000000e+05\n 1.00000000e+05 1.22617166e-06]", + "s": "[2.63629320e-10 5.39999986e-02 5.09999985e-02 4.89999985e-02\n 4.59999986e-02 5.21437839e-10 1.80775157e-10 9.41527982e-11\n 9.27591963e-11 3.34936351e-10 2.17074961e+00 5.38823086e-02\n 4.29999987e-02 4.10000031e-02 3.58084595e+01 4.63650159e-11\n 9.02039746e-11 1.66541514e-10 6.64753249e-09 3.43652240e+00\n 1.70938515e-10 6.83520330e-11 5.54391933e-11 5.58266619e-11\n 6.64325950e+01 2.95885333e-10 9.11099621e-10 9.26481219e-10\n 8.74002798e-10 2.28703794e-09 2.05127667e-09 1.91132042e-09\n 2.91784739e+01 1.26608033e-10 1.26675060e-11 7.80831501e-11\n 1.94717812e-11 3.70540775e-11 1.49920782e-10 1.04315268e-11\n 7.76445755e-11 1.76053332e-11 3.66561783e-11 1.62314388e-09\n 1.01187105e-09 1.05052426e-09 1.22484922e-09 1.61078380e-09\n 1.00035928e-09 1.03839966e-09 1.19955055e-09 2.70543677e-10\n 1.90341196e-10 2.91546421e-10 2.83024856e-10 1.51655002e-08\n 1.79999943e-02 1.79999942e-02 1.69999936e-02 1.59999937e-02\n 1.50000098e-02 1.79999947e-02 1.79999943e-02 1.69999941e-02\n 1.59999941e-02 1.50000149e-02 5.42863923e-10 3.79743345e-10\n 5.85320347e-10 5.70533416e-10 1.88178032e-08 1.89999994e-02\n 2.66825599e+00 1.69999938e-02 1.59999946e-02 1.49999943e-02\n 5.16021512e-09 2.65025599e+00 5.48179127e-10 1.07761434e-09\n 1.17084971e-09 1.90000118e-02 2.66825599e+00 1.69999948e-02\n 1.59999960e-02 1.49999951e-02 1.61314586e-08 2.65025599e+00\n 1.11920639e-09 2.24499933e-09 2.29141819e-09 2.02766578e-10\n 1.90380262e+01 1.22244828e-10 2.36827800e-10 2.35735080e-10\n 2.12927332e-10 1.90380262e+01 1.31498556e-10 2.48107876e-10\n 2.52696831e-10 1.45045488e+01 1.33886592e+01 5.19999953e-02\n 4.89999956e-02 9.41000013e-01 5.73822506e-11 6.38446146e-11\n 4.02040212e-11 3.93639627e-11 8.95000013e-01 1.89999947e-02\n 1.79999942e-02 1.79999932e-02 1.69999932e-02 9.10000013e-01\n 1.89999945e-02 1.79999941e-02 1.79999929e-02 1.69999929e-02\n 9.10000017e-01 1.45045488e+01 1.33886592e+01 5.19999950e-02\n 4.89999952e-02 9.41000017e-01 1.13832784e-10 1.26652169e-10\n 8.00822351e-11 7.73635794e-11 8.95000017e-01 1.45034368e+01\n 1.32762799e+00 5.19999916e-02 4.89999955e-02 8.74182950e-01\n 2.84918373e-11 2.75525598e+00 1.04920087e-11 1.96288773e-11\n 8.28182950e-01 1.89999950e-02 2.77325598e+00 1.69999827e-02\n 1.59999923e-02 8.43182950e-01 1.89999946e-02 2.77325599e+00\n 1.69999917e-02 1.59999926e-02 8.43182947e-01 1.45034368e+01\n 1.32762799e+00 5.19999951e-02 4.89999952e-02 8.74182947e-01\n 5.66327795e-11 2.75525599e+00 2.00107619e-11 3.96345048e-11\n 8.28182947e-01 5.29988344e-11 1.91240262e+01 1.76749721e-11\n 2.31573288e-11 3.72549805e-11 1.50704457e+01 1.33010101e+01\n 2.59999980e-02 2.39999955e-02 2.29999964e-02 2.30744533e-09\n 3.97855592e-09 2.67388698e-09 4.35189230e-09 2.66184035e-08\n 2.77933131e-08 2.87737870e-08 3.10615862e-08 5.96610898e-09\n 1.09067833e-08 2.99376744e-07 5.63000107e+01 9.53761267e-10\n 2.50466063e-09 6.11209460e-09 2.95212599e-07 4.37659353e-09\n 4.93507820e-09 6.17700730e-09 6.35578708e-09 1.38098891e-09\n 1.76823721e-09 1.38386913e-09 1.10166975e-09 1.28676622e-09\n 4.37659353e-09 1.62997876e-08 1.62578514e-08 1.63857404e-08\n 6.01219873e+01 1.09786635e-08 6.01310786e-09 8.94294979e-09\n 1.27430577e-07 1.43114400e+04 1.21988972e-08 1.09718774e-08\n 1.09994969e-08 4.37659353e-09 1.24264716e-08 7.12154279e-09\n 1.42208911e-09 3.70421594e-09 4.37659353e-09 3.06333097e-08\n 2.95203953e-08 2.95399988e-08 6.01219868e+01 1.96442527e-08\n 7.94102745e-09 1.37788016e-08 2.46446668e-07 1.43114400e+04\n 2.56561104e-08 2.35060256e-08 2.36152328e-08 4.37659353e-09\n 2.47282277e-08 1.53216165e-08 3.23707372e-09 8.49479038e-09\n 4.37659353e-09 1.23227703e-08 5.42268987e-09 7.48685298e-09\n 9.90590122e-09 1.21765007e-07 3.23941086e-08 3.59031572e-08\n 1.35270329e+02 3.46780637e-09 2.26983514e+02 9.17750372e-11\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 7.08034008e+02 1.12093075e-08 1.00080000e+02 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 9.33250174e+01 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 8.81311652e+01 1.12028835e+02\n 1.00318894e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 8.68218626e+01 1.13338137e+02 3.76028608e-11 3.31273987e-10\n 1.00080000e+02 1.00080000e+02 9.67468110e+01 1.03413189e+02\n 4.61705688e-11 1.11199994e+02 1.00080000e+02 1.00080000e+02\n 9.63101945e+01 1.03849806e+02 7.50097319e-11 6.48908714e-10\n 1.00080000e+02 1.00080000e+02 9.67468110e+01 1.03413189e+02\n 9.23027545e-11 1.11199994e+02 1.00080000e+02 1.00080000e+02\n 9.63101945e+01 1.03849806e+02 4.96864290e-11 1.42248357e+02\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 2.19092478e-09 1.00080000e+02 1.00080000e+02 1.05282705e+02\n 2.50092277e+01 1.69948067e+02 1.76641385e-10 3.47631764e-09\n 5.87299943e-10 9.72283464e-10 1.52801624e-10 1.37233511e-09\n 3.16558072e-10 2.80435750e-09 9.08076878e-11 1.39692504e-10\n 6.25619671e-10 1.59896445e-09 2.17336245e-09 6.60577212e-10\n 1.93115473e-08 6.86557828e-09 6.82951478e-09 3.56552617e-09\n 3.73312523e-09 8.21632432e-09 6.97678151e-09 1.56832948e-09\n 6.52532798e-09 3.10541353e-09 1.80055044e-09 2.67911027e-09\n 1.32677415e-09 3.54831760e-09 2.77046063e-08 5.47627862e-09\n 3.74603165e-09 3.63638006e-09 1.16845389e-08 4.10459623e-09\n 2.63332821e-09 2.68813770e-09 4.82953812e-09 5.74432857e-09\n 6.02190623e-09 5.59015739e-09 1.94317734e-09 6.73610907e-09\n 5.12597129e-09 2.06357682e-09 3.28642363e-09 3.59821352e-09\n 3.28571405e-09 4.78957166e-09 8.24906672e-10 9.75383770e-10\n 5.34250227e-09 1.06409338e-09 1.75127970e-09 1.96304999e-10\n 3.67366804e-09 7.02324961e-10 1.71978806e-09 1.90025880e-10\n 1.78085471e-09 3.64476776e-10 2.98347994e-09 1.02817758e-10\n 1.58501242e-10 2.25849923e-09 1.52653116e-09 2.47578933e-09\n 6.59897746e-10 1.24317085e-08 5.10227066e-08 1.03644211e+00\n 3.78670479e-09 6.33403630e-09 4.41250855e-09 4.56562588e-09\n 3.24199947e-08 6.36174130e-09 6.63239176e-09 8.49774321e-09\n 2.51842099e-09 2.11541382e-09 2.94263813e-09 9.10405896e-09\n 7.89565426e-09 8.59290779e-09 3.10054933e-09 3.45713112e-09\n 2.06895292e-09 3.24960982e-08 3.01943014e-09 1.47388460e-09\n 3.99534221e-09 1.21552158e-08 4.26047399e-08 6.04151084e-09\n 4.39981436e-09 4.01063520e-09 1.42843692e-08 4.62866671e-09\n 2.92496549e-09 3.06954112e-09 5.43837382e-09 6.34146951e-09\n 6.66289067e-09 6.22313084e-09 2.18779865e-09 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"problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:43:57", + "solve_time": 0.07142210006713867, + "status": "OPTIMAL", + "primal_objective_value": 33592.485763032746, + "dual_objective_value": 33592.4859134179, + "duality_gap": -0.00015038515266496688, + "primal_infeasibility": 4.132129023049231e-06, + "dual_infeasibility": 7.587370585700214e-12, + "iterations": 5850, + "memo": { + "solver_solve_time": 0.06814199900000001, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 33592.4859134179, + "solver_stats": { + "solve_time": 0.06814199900000001, + "num_iters": 5850, + "solver_name": "OSQP", + "extra_stats": "namespace(x=array([-2.40000000e+00, -2.90000000e+00, -4.11323856e-03, -7.92556674e-07,\n -2.07000000e-03, -7.05000000e+00, -1.30000000e-03, -6.39000000e-03,\n -3.62000000e-03, -2.50000000e+00, 4.58737041e-21, -1.82000000e+00,\n -3.06000000e+00, -5.66000000e+00, -2.55000000e+00, -2.48000000e+00,\n -3.60000000e-01, -2.57000000e+00, -3.19999895e-04, 2.20799539e-02,\n -2.89000000e+00, -2.75000000e+00, -4.87573182e-20, 0.00000000e+00,\n -3.40000000e+00, -1.70100000e+01, -3.80000000e-04, -8.63000000e+00,\n -2.16000000e+00, -2.88000000e+00, -5.27000000e+00, -2.85000000e+00,\n 8.63935930e-07, -3.59000000e+00, -5.34000000e+00, 0.00000000e+00,\n -5.45000000e+00, -5.40000000e+00, -2.11000121e-03, -2.63000000e+00,\n 6.53880922e-07, -9.30000000e-04, -1.54000000e+00, 7.73829394e-07,\n -2.83000000e+00, 4.12112722e-06, -6.40000000e-03, 8.81530252e-09,\n -3.63000000e+00, 7.05224201e-09, -1.77500000e+01, -4.73000000e+00,\n -8.20000000e-01, -1.68000000e+00, -1.01000000e-03, -1.63500000e+01,\n -5.39000000e+00, 0.00000000e+00, -2.59000000e+00, 3.86681303e-08,\n -4.65000000e+00, -1.29999997e-03, -9.40000025e-04, -1.00000002e-03,\n -4.80000001e-04, -2.90000010e-04, -1.85999123e-03, -8.22000000e+00,\n -1.88000002e-03, -5.39999948e-04, 3.05996940e+00, 2.89000000e+00,\n 2.82997170e+00, 5.38994610e+00, -5.43301130e+00, 3.09117100e+00,\n 2.85986403e+00, 3.18933500e+00, 3.20276204e+00, 3.36872301e+00,\n 3.49757104e+00, -2.22463752e+00, 3.89675480e+00, 3.33382123e+00,\n -3.47984283e-01, 2.26489233e-01, 4.50480990e+00, 4.51278234e+00,\n 4.10457999e+00, 3.89696699e+00, 9.87996086e-01, 2.28986862e+00,\n 2.39731349e+00, 3.14663452e+00, 3.49617622e+00, -2.95006525e+00,\n 5.55909204e+00, 4.63776292e+00, 4.58120402e+00, 2.35497573e+00,\n 2.79512205e+00, 4.35550290e+00, 3.72726698e+00, 3.53183099e+00,\n -1.75628797e+01, -9.13121864e-02, 5.19898040e+00, -4.15254343e+00,\n 3.14185573e+00, 2.82556397e+00, 3.17020988e+00, 2.98567604e+00,\n 6.05069102e+00, 2.89932004e+00, 2.77913505e+00, 2.90099206e+00,\n 2.77111706e+00, 2.82812106e+00, 2.63594166e+00, 2.60207487e+00,\n 2.57031205e+00, 3.32772760e+00, 2.50054804e+00, 2.26426762e+00,\n 2.44420038e+00, 8.30748935e-01, 2.20279530e+00, 3.14668100e+00,\n 4.30719205e+00, 2.89240510e+00, 2.78924400e+00, 2.68362600e+00,\n 4.75437653e+00, 2.65122599e+00, 2.40874788e+00, 5.03495200e+00,\n 2.16087273e+00, 2.73067759e+00, 4.12035030e+00, 3.29180966e+00,\n 7.67426755e-11, 9.16926007e-13, -2.38977209e-13, -1.32740605e-10,\n 9.07260969e-20, 4.21052825e-17, -3.65621565e-11, 9.73948796e-12,\n 4.03075394e-11, -2.35417536e-10, -3.24137066e-11, -5.47956927e-12,\n 1.82586471e-10, -9.76653117e-19, -2.77156372e-11, -7.07740592e-18,\n 1.31679473e-11, -5.43482450e-15, -1.32095429e-10, 9.81114680e-12,\n 8.12541576e-11, 1.32928565e-11, 2.08292166e-12, 8.80612416e-11,\n -7.53261030e-17, 9.89493272e-13, 1.12447600e-11, -3.85003563e-19,\n -8.91098010e-13, -1.72780301e-18, 3.08739935e-11, 3.48413337e-11,\n -1.58987275e-12]), y=array([ 3.93998999e+00, 0.00000000e+00, 8.85224997e+01, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.13500000e+00, 7.15325000e+01,\n 2.64547367e+02, 1.44320000e+02, 1.08840000e+01, 1.26225000e+02,\n 4.60417505e+02, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 2.11050000e+01, 0.00000000e+00, 1.09800048e+01, 0.00000000e+00,\n 5.95974987e+01, 0.00000000e+00, 2.54387495e+02, 0.00000000e+00,\n 2.00128730e+02, 0.00000000e+00, 1.83043501e+02, 3.58480004e+02,\n 0.00000000e+00, 2.19022761e+03, 0.00000000e+00, 1.25484970e+03,\n 0.00000000e+00, 9.05124387e+02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.27582504e+02, 0.00000000e+00,\n 1.39110000e+01, 0.00000000e+00, 3.99520000e+02, 8.52800018e+01,\n 0.00000000e+00, 1.56350000e+01, 0.00000000e+00, 2.47488522e+02,\n 0.00000000e+00, 1.06552502e+02, 0.00000000e+00, 4.77971995e+02,\n 0.00000000e+00, 0.00000000e+00, 3.31448996e+01, 1.73814983e+01,\n 0.00000000e+00, 0.00000000e+00, 6.29999924e-01, 3.70939998e+02,\n 0.00000000e+00, 7.67001979e+02, 2.44349538e+03, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.25304000e+02, 3.28695000e+02,\n 0.00000000e+00, 0.00000000e+00, 2.57524997e+02, 1.00203013e+03,\n 0.00000000e+00, 0.00000000e+00, 1.03500000e+01, 0.00000000e+00,\n 7.25500056e+00, 0.00000000e+00, 0.00000000e+00, 4.00800000e-01,\n 7.50000000e-02, 1.11999999e+03, 0.00000000e+00, 6.40000001e+02,\n 6.00566247e-18, -2.23743243e-17, -1.26665196e-17, 5.59999984e+01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 4.00000000e+01, 6.55220430e-19, 7.34735007e+01, 7.90500004e+01,\n 1.11957300e+03, 6.90000000e-01, 0.00000000e+00, 1.22275749e+03,\n 0.00000000e+00, 0.00000000e+00, 8.12249606e+00, 0.00000000e+00,\n 0.00000000e+00, 2.11350002e+01, 0.00000000e+00, 3.63199979e+01,\n 8.43147000e+02, 8.87740500e+02, 2.04299998e+00, 1.43436700e+03,\n 2.12378888e+02, 7.50000000e-01, 1.80127000e+02, 9.76309988e+01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -6.55333900e-17,\n 0.00000000e+00, 5.99999999e+02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.19999997e+02, -6.55333900e-17, -1.62039516e-16,\n 2.00000077e+01, -2.26062621e-17, 0.00000000e+00, 2.58542327e-17,\n 3.40253688e-17, 3.60000003e+02, 2.01705489e-17, 7.45579525e-32,\n -2.32082601e-17, 4.00000468e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.84901388e-16, 0.00000000e+00,\n 0.00000000e+00, -3.05393896e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 9.99999997e+02,\n 1.92000000e+02, 6.50000012e+01, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 4.49999770e+01, -3.36018119e-18, 4.50000190e+01,\n 0.00000000e+00, 2.15000015e+02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.40000001e+02, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.57494001e-15, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 3.86793988e-17, 0.00000000e+00,\n 1.59999960e+02, 1.44891042e-16, -1.44891042e-16, 2.40000723e+01,\n -3.13836747e-16, 0.00000000e+00, 5.00000000e+00, 0.00000000e+00,\n 6.00000936e+01, 0.00000000e+00, 1.89300014e+03, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.25835288e-18, 0.00000000e+00,\n 1.65000144e+02, 3.93323077e-17, 0.00000000e+00, 0.00000000e+00,\n 4.10000144e+02, 0.00000000e+00, -1.75186620e-17, 1.75186620e-17,\n 4.45000151e+02, 0.00000000e+00, 5.49164659e-18, 1.61718098e-16,\n 4.15000157e+02, 5.49098667e-18, 5.06197054e-17, -3.37464703e-17,\n 5.79999932e+02, 5.79999932e+02, 0.00000000e+00, 0.00000000e+00,\n 4.20000247e+02, 0.00000000e+00, 0.00000000e+00, 6.00000001e+01,\n 0.00000000e+00, 4.70000954e+01, -1.23254603e-16, 0.00000000e+00,\n 0.00000000e+00, 5.45263807e-16, -7.97664746e-16, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.18798328e-16, 0.00000000e+00,\n 4.00000005e+01, 0.00000000e+00, -9.39520560e-20, 9.39520560e-20,\n -1.18798328e-16, 0.00000000e+00, 1.37000000e+02, 0.00000000e+00,\n 1.00000001e+00, 0.00000000e+00, 4.68280933e-20, 0.00000000e+00,\n -3.10526281e-16, 0.00000000e+00, 9.37280230e-16, 3.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.03418257e-16, 1.62039516e-16,\n 1.80000000e+01, 0.00000000e+00, 0.00000000e+00, 1.08000000e+02,\n 0.00000000e+00, 0.00000000e+00, 2.98030006e+01, 6.15738750e+01,\n 4.66507434e+01, 4.63979125e+02, 3.50000000e+01, 1.19447500e+01,\n 1.02451000e+02, 6.70201251e+01, 3.22806253e+01, 2.79935631e+01,\n 4.07599976e+00, 2.57515121e-01, 9.87437809e+01, 5.60000000e+01,\n 1.01620875e+02, 3.63044500e+01, 4.57359999e+01, 2.32182500e+01,\n 1.01625574e+02, 4.16723749e+01, 2.72101400e+02, 1.21309251e+01,\n 4.04530001e+01, 4.50825231e+02, 3.10000000e+01, 1.26656525e+03,\n 1.85225257e+02, 3.20000000e+01, 2.06372500e+01, 6.96550000e+00,\n 2.59862126e+02, 5.35938752e+01, 3.99432500e+01]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 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2.56354346e-08 1.06769859e-08 1.44847212e-08 6.26173831e-09\n 3.03302863e-08 1.24041449e-08 2.56699568e-08 1.33378777e-08\n 9.16060354e-09 2.56179285e-08 3.06800383e-08 2.56238152e-08\n 3.06718506e-08 6.02971269e-09 4.33282151e+01 7.28197749e+01\n 1.03000000e+02 5.26488477e-09 2.06280674e-08 3.16717849e+01\n 9.92400939e-09 4.55466895e-08 2.06249259e-08 1.46461244e-10\n 2.00000000e+00 8.54304905e-10 6.39446731e-10 3.96847538e-11\n 6.49755068e+00 2.98430703e+00 2.87597369e+00 7.34070842e+00\n 9.99999961e-01 4.91406246e+00 1.34774800e-09 1.77857726e-10\n 3.55140188e-01 2.80000003e-01 3.55140187e-01 1.18061157e-01\n 1.12055369e-09 5.34819134e-09 1.44954125e+01 1.87906343e+01\n 8.35134380e-12 4.17809953e+00 3.09831701e-10 1.53156014e-10\n 3.67917322e-08 2.49080941e-09 1.02854253e-09 1.99736021e+00\n 6.19957989e-01 1.96428580e-01 1.08587241e+01 1.00000000e+00\n 1.00000000e+00 1.35571331e+01 1.81270778e-01 1.00000000e+00\n 1.59090912e-01 9.53679712e-01 1.83723935e+01 5.38662007e-01\n 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6.99999995e+00 6.99999999e+00 6.99999999e+00 4.54614127e+00\n 1.00000000e+00 1.00000000e+00 1.30066723e-09 5.23255815e-01\n 1.00000000e+00 4.76744187e-01 6.74896175e-10 1.00000000e+00\n 1.00000000e+00 1.00000000e+00 1.72535222e-01 9.99999992e-01\n 4.51396407e+00 4.49952336e+00 5.00000000e+00 4.99999999e+00\n 2.93800368e+00 5.00000000e+00 5.00000000e+00 1.82521612e+00\n 4.31723262e+00 4.99999992e+00 5.00000000e+00 4.27306832e+00\n 4.74701083e+00 4.89166667e+00 5.00000000e+00 5.00000000e+00\n 4.99999998e+00 4.99999990e+00 9.76160314e+00 8.72855008e+00\n 7.00000000e+00 4.92229410e+00 1.00000000e+01 1.00000000e+01\n 4.86756375e-01 1.11430989e+01 2.00000000e+01 6.21578574e-09\n 2.00000000e+01 2.00000000e+01 2.00000000e+01 2.82746479e+00\n 3.00000000e+00 3.00000000e+00 3.00000000e+00 3.00000000e+00\n 2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00\n 1.26283771e-09 4.99999995e+00 5.00000000e+00 4.92681268e+00\n 2.00000000e+01 2.00000000e+01 2.00000000e+01 1.99999744e+01\n 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4.82208230e-05 5.81805485e-11 1.37749298e-11\n 1.36846561e-10 1.33376328e-01 1.69812845e-01 1.30920000e-01\n 8.04404575e-02 1.34810000e-01 2.99880458e-01 2.58020458e-01\n 1.90203303e-02 7.30580428e-02 3.50913379e-02 1.45148151e-02\n 3.03200000e-02 2.61717183e-02 2.15388055e-02 7.66337006e-02\n 2.50026357e-01 2.59296357e-01 5.89063572e-02 5.71701681e-02\n 5.46130717e-02 2.57117801e-02 2.59184946e-02 3.07200001e-02\n 2.84271369e-02 1.74191439e-02 2.78447137e-01 2.39622081e-01\n 2.41847633e-02 2.62200001e-02 2.22550000e-01 2.13866714e-01\n 3.14800000e-02 1.40117182e-02 2.25560277e-02 2.45678742e-02\n 2.32050000e-01 2.23376714e-01 1.88355159e-02 1.81975564e-02\n 2.08618464e-02 2.75730000e-01 2.22830000e-01 1.37967145e-02\n 2.69571847e-01 2.15191846e-01 1.99088900e-02 7.18800000e-02\n 2.71460000e-01 2.18870000e-01 5.24509055e-02 3.39610077e-02\n 1.92544849e-02 3.95204256e-02 5.69183394e-02 3.05279137e-02\n 1.34320000e-01 1.21658806e-01 1.20116028e-01 2.64384328e-02\n 2.22141718e-01 2.76611718e-01 7.16415937e-02 7.01736998e-02\n 7.18213193e-02 7.52034975e-02 8.56814111e-02 8.27739772e-02\n 2.27781780e-01 2.81881780e-01 2.50190000e-01 2.59430000e-01\n 2.20381718e-01 2.29631718e-01 2.17277874e-01 2.16861718e-01\n 2.26261718e-01 2.08841718e-01 2.63201718e-01 2.26497874e-01\n 2.21347874e-01 2.75787874e-01 2.33231846e-01 2.20345516e-01\n 2.74365516e-01 2.78790426e-01 2.86298339e-01 2.70990905e-01\n 2.28620905e-01 2.41268339e-01 2.30360426e-01 2.74155618e-10\n 2.15001319e-01 3.29483328e-13 5.50585446e-13 3.99556659e-01\n 2.12539913e-12 1.10646741e-14 1.88553219e-14 1.93339166e-14\n 8.67435913e-14 3.99718760e-01 3.99718760e-01 3.99718760e-01\n 9.60549972e-03 5.48328546e-03 5.55598535e-12 4.75799815e-02\n 1.33008561e-02 5.12689758e-02 4.61102839e-11 5.73184063e-02\n 5.54348142e-12 5.20762998e-02 4.85996376e-11 5.88086808e-02\n 5.11115422e-02 1.97602439e-02 5.98117369e-03 2.30899363e-02\n 1.33008561e-02 7.55577317e-03 2.93430750e-02 5.48328545e-03\n 2.26081536e-02 1.33008561e-02 2.47894558e-02 2.90982817e-02\n 9.51848451e-12 2.90982817e-02 5.27460773e-12 2.26081536e-02\n 8.96397224e-03 2.26081536e-02 8.79119446e-03 2.76428631e-02\n 6.41164773e-11 5.94890304e-03 1.97935406e-02 5.48328547e-03\n 2.63382199e-02 1.87979827e-02 2.34439126e-02 3.28565667e-02\n 5.90090140e-02 1.86684411e-02 1.88142157e-02 3.33151135e-02\n 2.03929272e-02 3.31568118e-12 1.05862408e-10 1.33892599e-12\n 1.19779190e-02 1.80570655e-11 3.88024114e-12 3.44094062e-02\n 4.63890385e-02 2.98973799e-02 9.53379743e-03 2.26081536e-02\n 5.48328543e-03 2.43093987e-11 4.49143480e-12 5.03470951e-03\n 2.26081536e-02 3.46792381e-12 1.57314990e-12 5.48328547e-03\n 2.57695744e-02 2.45420863e-02 1.06955152e-02 8.96966975e-03\n 2.15516063e-02 3.00189923e-02 8.96966974e-03 1.08197033e-11\n 1.06955151e-02 2.57695743e-02 1.88998211e-02 4.47122866e-02\n 8.96967054e-03 2.20580289e-02 1.06810171e-02 2.06805617e-02\n 3.00189923e-02 1.06955151e-02 8.96966974e-03 1.06955151e-02\n 8.98037588e-03 4.55195425e-02 6.32693673e-12 3.75811671e-12\n 2.67404282e-12 5.20762994e-02 1.33008561e-02 8.64152116e-12\n 2.76428631e-02 6.72238141e-03 1.33008559e-02 1.12405175e+00\n 1.37371369e-10 3.17487893e-01 5.49857300e-01 7.71259545e+00\n 4.22940443e-11 9.12143942e-11 9.46848610e-11 3.78773985e-11\n 2.79798329e-10 5.60009520e-11 2.04070593e-01 1.56805877e+00\n 7.70911440e-10 9.43242231e-10 7.74489960e-10 2.27580968e-09\n 2.53835279e-01 5.74861221e-02 1.88586737e-11 1.46303555e-11\n 3.34179475e+01 6.50945962e-11 1.21301801e+00 2.40202165e+00\n 7.26708037e-03 1.13384449e-01 2.63371702e-01 1.36460369e-10\n 4.35619923e-10 1.34853668e-09 2.52175123e-11 2.74314113e-10\n 2.74314113e-10 2.03036949e-11 1.46418661e-09 2.74314113e-10\n 1.68216153e-09 2.84972949e-10 1.49812306e-11 4.98024965e-10\n 4.10871718e-10 8.76085001e-02 9.15306533e+00 1.50677793e+00\n 2.42427501e+01 4.30849556e-11 4.08915812e-11 4.80223900e-12\n 9.04445485e-12 2.23075399e-11 3.61039836e-13 2.19219806e-04\n 4.38765900e-12 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1.80991799e-10 2.33257515e-01 6.18208451e+00 5.59605069e+00\n 1.01422600e+01 2.25018000e+00 1.98295000e+00 1.90798000e+00\n 8.47477721e+00 2.90001000e+00 1.75680272e-11 2.42865632e-11\n 3.56125179e-11 7.44186711e-11 8.56194728e-11 2.75876220e+00\n 2.88505342e+00 2.81275356e+00 2.89964864e+00 4.82598732e-11\n 1.42955588e-08 1.03080787e+00 1.35825712e+00 1.31652223e+00\n 1.03878055e-09 1.99996002e-01 4.24968632e-09 1.35048813e+00\n 4.50098026e+00 1.13087600e-09 8.00003990e-01 1.35928044e-09\n 1.03068953e+00 2.26137507e+00 1.25196432e-09 3.99601651e-09\n 1.56735048e-09 1.41993697e+00 2.83987395e+00 1.39633500e-09\n 3.42954733e-09 6.85086085e-09 9.99999992e-01 9.99999989e-01\n 8.75556499e-09 3.97395078e-09 2.04131260e-09 5.20575765e-09\n 9.89130004e-09 3.26177654e-02 9.67382221e-01 1.61085509e-01\n 5.50637034e-01 2.83315884e-01 9.99999998e-01 1.00000000e+01\n 1.00000000e+01 1.00000000e+01 1.00000000e+01 1.51965733e-10\n 2.15133905e-10 2.19577205e-10 1.79805442e-10 8.20541382e-01\n 3.99994669e-01 9.03036427e-10 3.15152300e-10 1.00000080e-02\n 1.67372733e-09 3.12904925e-08 1.20241991e-08 1.15971458e-08\n 8.17227291e-09 1.32989859e-09 3.34842430e-08 1.23628225e-08\n 1.18225511e-08 2.32718282e-09 2.00000001e-01 3.33699486e-08\n 1.32636240e-08 1.28778368e-08 3.57407640e-09 3.00000001e-01\n 6.51032257e-09 1.68904662e-09 1.42266233e-09 2.67016430e-10\n 1.99523619e-10 3.26655872e-09 3.01218198e-09 9.46571654e-09\n 2.30452863e-01 4.49967101e-01 3.39729738e+00 4.38732838e+00\n 2.80830286e-09 6.99055017e-09 1.96832309e-01 4.97185276e-01\n 3.07661634e+00 4.60665934e+00 2.94537463e-09 9.84308134e-10\n 1.49015489e-01 3.94952699e-01 2.63176954e+00 4.70182454e+00\n 2.88537201e-09 1.60620480e-01 1.10488073e-01 1.25564581e-10\n 2.34749172e+00 4.95755872e+00 4.57629855e-08 2.68257442e-08\n 8.76744374e-09 3.58294194e+00 6.75409264e+00 6.92054140e+00\n 6.38561710e+00 4.08905800e-09 4.31290301e+00 6.41534202e+00\n 6.41534200e+00 1.44436515e-09 4.53059127e+00 3.85450104e+00\n 3.91985136e-09 7.67454185e-09 7.33658191e-01 1.63098348e+00\n 5.95693704e+00 2.05217432e-10 2.52912883e-09 4.14300665e-09\n 5.94498050e-09 8.05937304e+00 1.63580899e-10 2.82193281e-10\n 3.78079765e+00 1.01618090e+01 7.35174706e-08 4.71921178e-09\n 5.19036268e-09 1.52552665e+03 7.93336608e-08 5.71128800e-09\n 1.85710126e+03 8.79905929e-08 6.28002594e-09 2.20147060e+03\n 9.53357799e-08 6.90542130e-09 2.58090167e+03 1.03777103e-07\n 7.59916171e-09 3.01840246e+03 1.12814956e-07 8.36264204e-09\n 3.34001218e+03 1.22570073e-07 9.20746934e-09 3.74751312e+03\n 1.33662053e-07 1.01359517e-08 4.22957914e+03 1.46379938e-07\n 1.11597705e-08 4.74564821e+03 1.62543833e-07 5.29634682e+03\n 1.24032604e-09 1.24605795e-08 4.14802963e-08 5.23986088e-01\n 7.14340279e-01 9.09521549e-09 6.95382464e-10 1.70871358e-08\n 2.88358123e-08 7.57432430e-01 1.29340373e+00 9.13322440e-09\n 1.38415754e-09 1.81115306e-08 5.64161071e-09 6.68625246e-01\n 1.37189390e+00 1.01741190e-08 4.53685534e-11 1.72747343e-08\n 1.14051067e+00 6.87324368e-01 4.80700510e-10 1.09766900e-08\n 2.76794174e-06 2.64453507e-09 5.26183779e-09 1.30886762e+00\n 1.51985000e+00 9.28404113e-09 2.16515159e-08 4.58840610e-01\n 1.51984999e+00 7.91732770e-02 1.17318261e-01 2.24610051e-01\n 9.53026895e-01 9.90007220e-02 1.37085171e-01 2.28208363e-01\n 6.67781631e-01 1.05449051e-09 1.42016655e-09 2.11365140e-09\n 4.65464673e-09 1.83316778e-09 1.91671047e-09 2.07227537e-09\n 2.10243008e-09 1.68029569e-07 6.19033644e-09 5.11671537e-01\n 1.70408000e+00 1.63966000e+00 6.08468109e-09 1.31621106e-08\n 1.36572453e+00 1.63965999e+00 1.45303405e-01 2.38408290e-01\n 6.30058286e-01 1.33843046e+00 2.03733425e-01 2.75126904e-01\n 4.65101912e-01 9.91250621e-01 1.06422364e-09 1.43572961e-09\n 2.13822624e-09 4.71522265e-09 1.84690919e-09 1.93398177e-09\n 2.09407544e-09 2.12808338e-09 2.04107890e+02 6.66247164e-09\n 9.51441571e-01 1.83784999e+00 1.76837000e+00 1.86707113e-09\n 1.01414566e-01 1.83785000e+00 1.76837000e+00 1.45815219e-01\n 2.71090380e-01 1.03523782e+00 1.55448964e+00 2.47798285e-01\n 3.48410355e-01 6.52339218e-01 1.25321943e+00 1.19212911e-09\n 1.61328659e-09 2.40579996e-09 5.31493318e-09 2.03672997e-09\n 2.17596420e-09 2.40715395e-09 2.52249776e-09 2.04107890e+02\n 5.44782135e-09 1.76274356e+00 1.98294999e+00 1.90798000e+00\n 3.57488283e-01 1.13828789e+00 1.72728096e+00 1.74120991e+00\n 1.88260964e-01 3.61195070e-01 1.73322662e+00 1.78143498e+00\n 8.75320197e-11 1.60082420e-10 1.27353829e+00 1.90798000e+00\n 1.29187174e-09 1.75591319e-09 2.62378321e-09 5.82191931e-09\n 2.18642027e-09 2.38358425e-09 2.70986596e-09 3.10886789e-09\n 9.99999999e+00 8.96919213e+00 8.64174288e+00 8.68347778e+00\n 1.00000000e+01 9.80000400e+00 1.00000000e+01 8.64951187e+00\n 5.49901974e+00 1.00000000e+01 9.19999601e+00 1.00000000e+01\n 8.96931047e+00 7.73862494e+00 1.00000000e+01 1.00000000e+01\n 1.00000000e+01 8.58006303e+00 7.16012606e+00 1.00000000e+01\n 9.99999998e-01 9.99999995e-01 1.00513532e-08 1.31376756e-08\n 9.99999994e-01 9.99999998e-01 1.00000000e+00 9.99999997e-01\n 9.99999992e-01 9.67382237e-01 3.26177818e-02 8.38914493e-01\n 4.49362968e-01 7.16684118e-01 3.45350312e-09 2.34587948e-09\n 2.29195351e-09 2.47064945e-09 2.36879852e-09 2.00000000e+00\n 2.00000000e+00 2.00000000e+00 2.00000000e+00 1.17945862e+00\n 1.60000533e+00 2.00000000e+00 2.00000000e+00]", + "s": "[1.88310779e-11 8.45949162e-12 3.51114731e-12 1.39316312e-11\n 8.93741254e-11 5.97907215e-11 1.34973779e-11 8.76626822e-11\n 1.75328009e-11 5.48208979e-12 3.20622502e-12 1.29708172e-11\n 5.94376785e-11 5.67334885e-11 1.15653963e-11 6.79592812e-11\n 1.63308434e-11 3.88488333e-12 2.91558129e-12 1.21702768e-11\n 5.25195719e-11 5.08802682e-11 1.02377758e-11 5.62695629e-11\n 1.53380951e-11 3.09996055e-12 2.64731347e-12 1.11712699e-11\n 4.34828996e-11 4.86496804e-11 8.87519207e-12 7.57679099e-11\n 1.40930749e-11 2.46829571e-12 2.43991628e-12 1.05425636e-11\n 2.52515926e-11 4.44656190e-11 1.03415413e-11 7.56448937e-11\n 1.33100041e-11 2.11823565e-12 2.26064504e-12 1.00455710e-11\n 2.41901799e-11 4.05470605e-11 1.18375125e-11 7.70144951e-11\n 1.27145983e-11 1.91973755e-12 2.10332040e-12 9.80810784e-12\n 2.44170749e-11 3.79624591e-11 1.44967054e-11 9.46320209e-11\n 1.24733702e-11 1.79490515e-12 1.97323405e-12 9.64349112e-12\n 1.95978911e-11 3.46116912e-11 2.19564777e-11 1.46900016e-10\n 1.24264060e-11 1.72593369e-12 1.85756933e-12 1.37982831e-09\n 1.43120031e-09 9.55450746e-10 9.73969505e-10 4.98204400e-10\n 5.24563281e-10 8.85958534e-10 9.15013022e-10 1.42523115e-09\n 1.49814173e-09 1.32771708e-09 1.38293410e-09 9.30337913e-10\n 9.61749208e-10 4.28496457e-10 4.55195902e-10 6.11025686e-10\n 6.31013544e-10 2.02007393e-09 2.11479814e-09 1.18855608e-09\n 1.22912110e-09 9.28784915e-10 1.00806108e-09 3.88799428e-10\n 4.10185602e-10 5.29330527e-10 5.41590705e-10 2.02054530e-09\n 2.08801379e-09 1.18409678e-09 1.23039703e-09 9.27755671e-10\n 1.03470480e-09 3.47705432e-10 3.65082804e-10 4.57283382e-10\n 4.66479159e-10 2.02086787e-09 2.04894948e-09 1.32211922e-09\n 1.14701881e-08 7.92053676e-10 1.27745080e-08 5.80639320e-10\n 1.27745056e-08 4.50942514e-10 3.43084354e-08 7.39245251e-10\n 1.66019646e-11 4.71251705e-11 4.26876339e-10 5.49379784e-10\n 2.48300389e-09 1.46495275e-08 7.62164647e-01 6.93428085e-10\n 5.54785120e-11 4.27530123e-09 5.47509332e-10 2.44432436e-09\n 3.80707362e-09 1.59224936e-01 5.23891068e-02 2.12315645e-09\n 4.25723890e-09 5.51907554e-10 2.58439152e-09 3.19652985e-09\n 7.42252951e-09 2.49177443e+00 2.36947747e+00 8.33603359e-09\n 5.53039631e-10 2.61448873e-09 3.21560045e-09 5.02461262e-09\n 2.68205727e+00 2.55976030e+00 1.03881088e-09 5.43909506e-10\n 2.38870333e-09 2.70951600e-09 2.85820414e-09 9.32280377e-10\n 3.85683030e-09 1.13912696e+01 8.62383481e+00 6.31530235e+00\n 3.98309876e+00 8.07158824e+00 5.14282920e-02 1.66030026e-11\n 4.71141920e-11 4.26070319e-10 5.10557599e-10 3.07181501e-09\n 5.39462514e-01 1.12388216e+00 4.41246156e-10 5.39709452e-11\n 4.28922403e-09 5.08528586e-10 2.28941369e-09 1.13193343e-08\n 2.92274549e-01 2.40252800e-09 9.21700868e-10 4.25723819e-09\n 5.15475037e-10 2.55732282e-09 3.98732575e-09 1.28153667e-08\n 2.26576764e+00 2.13744422e+00 6.34081010e-09 5.18298913e-10\n 2.60796897e-09 3.50674977e-09 6.49521499e-09 2.44220400e+00\n 2.31388058e+00 9.46503516e-10 5.04622665e-10 2.22022560e-09\n 2.51999880e-09 2.65821590e-09 5.09961834e-10 2.52125831e-09\n 1.15658921e+01 8.74072408e+00 6.38653287e+00 4.00628035e+00\n 7.38944805e+00 1.06431306e+00 5.24459869e-11 4.62057275e-11\n 4.11144620e-10 4.73996573e-10 3.74953053e-09 4.90412826e-01\n 1.02169514e+00 3.53311648e-10 5.13696061e-11 4.30365419e-09\n 4.72177972e-10 2.23034230e-09 2.29253542e+00 4.77612366e+00\n 2.39214938e-09 8.21799544e-10 4.25723752e-09 4.78068322e-10\n 2.41305277e-09 5.15418615e-09 1.73415813e-08 1.09042178e+00\n 4.98658207e-09 6.48946278e-09 4.82235913e-10 2.50147251e-09\n 3.70332270e-09 7.97447239e-09 1.25403266e+00 1.63610880e-01\n 8.95934247e-10 4.68282832e-10 2.06458779e-09 2.34565321e-09\n 2.47608020e-09 4.12302301e-10 1.87571736e-09 2.77433214e+01\n 1.99435961e+01 1.36160079e+01 6.89931830e+00 4.89821703e+00\n 3.60967243e+01 5.24459869e-11 4.61361132e-11 4.07355078e-10\n 4.33056410e-10 8.90068394e-09 4.45820284e-01 9.28793839e-01\n 1.43240135e-09 4.85989213e-11 4.32091119e-09 4.46687312e-10\n 3.80881145e-09 1.63426358e-08 3.11942267e-08 1.85931412e-09\n 3.44908870e-09 4.25723676e-09 4.39668135e-10 2.28922435e-09\n 1.42380110e-08 3.69857089e-08 8.16053065e-09 3.13099700e-09\n 6.71031909e-09 4.33612971e-10 1.89525526e-09 6.21027026e-09\n 2.80958396e+01 1.62195225e-08 1.17997115e-09 7.74793710e-10\n 4.34611659e-10 1.92096618e-09 2.18582677e-09 2.31264682e-09\n 6.75121336e-10 1.49435178e-09 4.37901484e+02 3.06966363e+02\n 2.02126049e+02 8.85808605e+01 4.98311110e+01 1.57015827e-09\n 1.50874854e-09 1.54173516e-09 1.49772601e-09 9.23433965e+01\n 2.90423073e-01 4.34318000e-09 2.84484633e-09 2.78439708e-09\n 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1.10458834e-01 5.11973587e-01 3.19581440e-10\n 3.07621899e-10 2.15594176e-02 5.83190877e-01 6.68233109e-02\n 2.45422956e+00 3.12213188e-10 2.60266334e-01 2.81152886e-10\n 1.97540396e-02 2.70960522e-10 8.87912327e-01 1.94911754e-02\n 3.31893438e-01 2.75064037e-10 2.00757770e-02 2.87752551e-01\n 2.74428085e-10 2.05913329e-02 2.99223553e-10 1.11250223e+00\n 1.05573578e+00 1.31767178e+00 1.87068183e-10 2.88972852e-03\n 2.93766328e-10 1.82176020e+00 1.60825532e+00 7.41364252e-02\n 1.76447525e+00 3.08457555e-10 3.10095028e-10 3.53617730e-01\n 8.61027143e-01 3.76843993e-10 1.67941990e-09 8.59011844e-02\n 3.39580720e-10 1.47398162e+00 1.26946652e-01 9.72738397e-01\n 1.57365718e-10 2.70677315e-03 3.37860321e-10 1.00255859e+00\n 5.49242851e-02 3.06793751e+00 3.46853073e-02 3.29764286e-10\n 1.06313558e-09 6.28000002e-01 4.23432354e-10 4.56691697e-02\n 1.02618901e+00 3.13621027e-10 7.03381211e-02 1.40809154e-01\n 3.29788993e-10 7.31396492e-02 1.41155928e-01 3.26824120e-10\n 3.93628174e-02 3.06354764e-10 2.26789362e+00 2.93062319e-10\n 3.02379395e-10 1.86680977e-01 2.33245764e+00 3.95044346e-01\n 3.09736287e-10 1.13147791e+00 1.52915017e-02 3.39758469e-03\n 2.18088366e-10 3.84521119e-01 3.07128990e-10 1.47751962e+00\n 1.58934363e-02 3.34346225e-03 2.27926820e-10 3.00209642e-10\n 4.03201595e-01 1.27542783e+00 3.35947727e-10 1.64004189e+00\n 1.21510750e-01 3.16807805e-10 2.23891370e-01 9.76482158e-01\n 2.99252491e-10 7.03287106e-01 1.46120180e+00 1.93060524e-02\n 3.23788430e-10 1.06262927e+00 7.55411080e-10 1.06331844e+00\n 5.08845474e-02 4.71836526e-10 6.05748101e-01 9.02086748e-02\n 8.56367498e-01 1.66762391e-01 3.00040836e-10 2.98634528e-10\n 5.22383152e+00 2.92603799e+00 8.16752802e-01 6.09552794e+00\n 5.72429465e+00 4.85811289e+00 8.04097380e+00 7.76316115e+00\n 1.62660943e+00 4.44346951e+00 6.74444586e+00 3.02345183e-10\n 2.15790054e+00 9.37388092e-01 1.38852298e+00 6.19538424e+00\n 6.08629539e+00 1.75984510e-10 1.52653985e-09 4.49261202e+00\n 4.73160765e+00 8.10503315e+00 2.09786777e+00 4.60884777e+00\n 1.42651261e+01 1.03904469e+00 3.19560126e+00 1.64972067e+00\n 1.89245038e+00 2.30115682e+00 1.65466326e+00 2.56068964e+00\n 8.03243281e+00 4.91379516e+00 3.69486463e+00 3.61988338e+00\n 3.16910281e+00 9.54457927e-11 3.43748090e-10 1.76571849e-10\n 2.99414538e-10 7.81221083e+00 6.98118752e+00 1.00868434e+00\n 5.12853586e+00 2.06369626e+00 8.54456588e+00 3.56286506e+00\n 5.35143323e+00 6.01702495e+00 7.98388369e+00 3.01908746e+00\n 7.34109417e+00 3.07276484e+00 2.54363690e+00 7.00405145e+00\n 5.35449864e+00 1.59335150e-10 3.78740625e+00 6.70786643e-02\n 1.04591229e+01 6.60965615e+00 9.23487097e+00 1.86528710e+01\n 1.45648710e+01 2.41310062e+00 4.10105785e+00 2.72071250e+00\n 4.12531757e+00 3.63993028e+00 5.66379159e+00 5.29870602e+00\n 2.96502154e+00 3.37510542e+00 1.04385422e+00 2.39938184e+00\n 3.97295964e+00 1.00192246e+00 2.70454699e+00 1.03719263e+00\n 8.81560341e+00 1.75010606e+00 7.09047026e+00 4.37675808e+00\n 1.06118972e+01 6.80170982e+00 2.80354143e+00 2.15659086e+00\n 2.64812926e+00 3.71462242e+00 5.59010042e+00 4.90467862e+00\n 2.66167461e+00 2.79570467e+00 2.36304583e+00 4.09277802e-10\n 2.34162136e+00 2.86529854e+00 1.20309138e+00 2.78466398e+00\n 2.01464037e-02 2.00493035e-02 3.12269621e-10 2.50954345e-10\n 3.80477227e+00 3.02389157e+00 5.30378803e+00 2.51488698e+00\n 1.77250994e+00 3.01039143e-10 7.51216379e-02 6.33617814e-01\n 1.79460621e+00 1.76212850e+00 4.88461511e+00 2.00978806e+00\n 2.98636401e-10 1.98519192e+00 5.57535267e-01 1.68864952e+00\n 3.14123634e+00 3.01646212e+00 3.62116282e+00 3.35668529e+00\n 5.47963862e+00 4.60005852e+00 2.12038288e+00 1.75813418e+00\n 4.30961974e-01 1.21041668e+00 6.62519044e+00 5.21608450e-01\n 4.46693428e-01 5.47241438e+00 7.46887867e-01 6.28563397e+00\n 1.60524133e+00 4.54269343e+00 1.58330509e+00 2.64523503e+00\n 4.02697416e-01 5.44102142e+00 4.50326332e+00 1.05478378e+01\n 5.22883587e+00 1.90816733e+00 1.86182196e-10 4.92585587e+00\n 9.11816733e+00 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1.88039648e+00 3.72836298e+00 1.53915798e-10\n 1.53785753e-10 2.60257197e+00 1.18952203e+01 8.19374802e+00\n 7.95521482e+00]", + "info": { + "exitFlag": 0, + "pcost": 1435.1780000001015, + "dcost": 1435.1780004203565, + "pres": 1.1829454697292576e-11, + "dres": 1.8296423819560863e-10, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": 2.645454736434323, + "dinfres": NaN, + "gap": 1.1209335403887962e-06, + "relgap": 7.810414736433253e-10, + "r0": 1e-08, + "iter": 12, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.011254374000000001, + "tsetup": 0.001007791, + "tsolve": 0.010246583 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2668, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "degen2", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:01", + "solve_time": 0.08902812004089355, + "status": "OPTIMAL", + "primal_objective_value": -1435.176388235075, + "dual_objective_value": -1435.177158790581, + "duality_gap": 0.000770555506051096, + "primal_infeasibility": 1.9839673040573405e-05, + "dual_infeasibility": 7.6696078099617e-09, + "iterations": 1600, + "memo": { + "solver_solve_time": 0.083727041, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -1435.177158790581, + "solver_stats": { + "solve_time": 0.083727041, + 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0.00000000e+00,\n 1.99817400e-01, 8.00182600e-01, 8.23993651e-17, 1.00001467e+00,\n 1.00000309e+00, 0.00000000e+00, 9.99992144e-01, -9.88162980e-17,\n -3.40927373e-16, 1.00003441e+00, 2.00115797e-01, 7.99884203e-01,\n 0.00000000e+00, 9.99994927e-01, 8.00568399e-01, 1.99431601e-01,\n 0.00000000e+00, 1.00002666e+00, 6.59194921e-17, 9.99990486e-01,\n 0.00000000e+00, 9.99989859e-01, -8.23993651e-18, 9.99976403e-01,\n 1.00006644e+00, -6.17995238e-18, 0.00000000e+00, 9.99952596e-01,\n -9.88162980e-17, 9.88162980e-17, 1.99780660e-01, 8.00219341e-01,\n 0.00000000e+00, 9.99936541e-01, 0.00000000e+00, 1.00000050e+00,\n 1.00000351e+00, -1.57073790e-16, 9.88792381e-17, 1.00000519e+00,\n -4.11996826e-17, 9.99989417e-01, 9.99993021e-01, 0.00000000e+00,\n 8.00060523e-01, 1.99939478e-01, -2.47198095e-17, 1.00001790e+00,\n -3.62557206e-16, 9.99979633e-01, 7.99703033e-01, 2.00296967e-01,\n 0.00000000e+00, 9.99990713e-01, 1.49348849e-16, 1.00001336e+00,\n 0.00000000e+00, 9.81067441e-17, 1.00000107e+00, 2.80000491e-17,\n 9.99990968e-01, 0.00000000e+00, 9.99955696e-01, 3.29597460e-17,\n 1.00004649e+00, 2.05998413e-17, 9.99993860e-01, 0.00000000e+00,\n 1.00003102e+00, 0.00000000e+00, 9.99981702e-01, 7.99987978e-01,\n 2.00012022e-01, 1.00001216e+00, -2.96448894e-16, 9.99989673e-01,\n 0.00000000e+00, 1.00000768e+00, 0.00000000e+00, -3.04877651e-16,\n 1.00003474e+00, 1.00001091e+00, 1.48224447e-16, 1.00000753e+00,\n 0.00000000e+00, 9.99985657e-01, -1.72394922e-16, 0.00000000e+00,\n 9.99988473e-01, 9.99997937e-01, 0.00000000e+00, 9.99997891e-01,\n 0.00000000e+00, 1.00001424e+00, -2.96448894e-16, 1.00002701e+00,\n 9.88162980e-17, 9.99998733e-01, -1.54498810e-18, 9.99983579e-01,\n -2.96448894e-16, 9.99999490e-01, 0.00000000e+00, -4.50621528e-18,\n 9.99988471e-01, 1.00000894e+00, -2.96448894e-16, 0.00000000e+00,\n 9.99997943e-01, 1.00000108e+00, -2.96448894e-16, 9.88162980e-17,\n 9.99992116e-01, -2.96448894e-16, 0.00000000e+00, 1.00001325e+00,\n -1.48224447e-16, 0.00000000e+00, 1.00000174e+00, 0.00000000e+00,\n 0.00000000e+00, 1.00001739e+00, -8.23993651e-18, -1.31838984e-16,\n 9.99994049e-01, 0.00000000e+00, -9.88162980e-17, 9.99994849e-01,\n -9.88162980e-17, 0.00000000e+00, 9.99959819e-01, 0.00000000e+00,\n 0.00000000e+00, 1.23520373e-17, 1.00005346e+00, 0.00000000e+00,\n 1.85280559e-17, -7.41122235e-17, 9.99988497e-01, 0.00000000e+00,\n 9.99999468e-01, 0.00000000e+00, 4.53196508e-17, -1.33898968e-17,\n 9.99986356e-01, -1.85280559e-17, 2.47198095e-17, 9.99990748e-01,\n -1.15874107e-18, 5.04696111e-17, 9.99993329e-01, 0.00000000e+00,\n -3.39897381e-17, 9.99980138e-01, -7.41122235e-17, 0.00000000e+00,\n 9.99986456e-01, 8.00022311e-01, 1.99986857e-01, 1.44198889e-17,\n 7.99086817e-01, -1.79604866e-17, 2.00911742e-01, 0.00000000e+00,\n -2.14238349e-16, 9.99981157e-01, 1.23520373e-17, -3.70561118e-17,\n 9.99990020e-01, 2.47040745e-17, 9.99993168e-01, 0.00000000e+00,\n 7.99076083e-01, 7.41122235e-17, 2.00914129e-01, 1.00000440e+00,\n 0.00000000e+00, 8.65193334e-17, 0.00000000e+00, 2.43697732e-17,\n 9.99996918e-01, 1.00001220e+00, 8.34293572e-17, 2.05998413e-17,\n 9.99997954e-01, 8.23993651e-17, -1.64798730e-17, 0.00000000e+00,\n 4.11996826e-18, 9.99995171e-01, -1.86238300e-16, -4.11996826e-18,\n 9.99991748e-01, 1.00002005e+00, 0.00000000e+00, 8.58434011e-17,\n -3.50197302e-17, -2.31748214e-18, 9.99987935e-01, 1.48224447e-16,\n 0.00000000e+00, 9.99961414e-01, 8.23993651e-18, 9.99987660e-01,\n 1.45498672e-18, -4.11996826e-18, -9.01243056e-17, 9.99994605e-01,\n 1.00003014e+00, 6.07695318e-17, -4.94396191e-17, 9.99992468e-01,\n -1.48224447e-16, -4.94081490e-17, 3.70797143e-17, 0.00000000e+00,\n 9.99986261e-01, -3.91396984e-17, 9.99994561e-01, 1.00004623e+00,\n 0.00000000e+00, -1.48224447e-16, 0.00000000e+00, 5.09846072e-17,\n 9.99985401e-01, 8.00320320e-01, 1.99690988e-01, 2.57498016e-19,\n 5.14996032e-18, 1.00000900e+00, 3.29597460e-17, 0.00000000e+00,\n -2.05998413e-18, 9.99992720e-01, 6.17995238e-18, 0.00000000e+00,\n 9.99992619e-01, 9.99994746e-01, -1.64798730e-17, 8.23993651e-17,\n 9.99993746e-01, -4.94396191e-17, -1.64798730e-17, 2.44623115e-17,\n 0.00000000e+00, 9.99989534e-01, 1.00001907e+00, 5.67783125e-17,\n -1.95698492e-16, -1.94732875e-18, 0.00000000e+00, 9.99990001e-01,\n 1.21024068e-17, 0.00000000e+00, 9.99986221e-01, 1.64798730e-17,\n 0.00000000e+00, 9.99990133e-01, 8.00323872e-01, 1.99686950e-01,\n -7.38375561e-17, 1.00004627e+00, 0.00000000e+00, -1.06861677e-17,\n 9.99996148e-01, -1.85280559e-17, -8.65193334e-17, 3.70561118e-17,\n 2.00338262e-01, 7.99648992e-01, 1.00001142e+00, -4.11996826e-17,\n -2.88397778e-17, 0.00000000e+00, 1.00002198e+00, -1.56719730e-16,\n 1.00000599e+00, -6.17995238e-18, 0.00000000e+00, -8.23993651e-18,\n 9.47592699e-17, 9.99988540e-01, -3.08997619e-18, 1.44907008e-16,\n 9.99986114e-01, -4.81521290e-17, 0.00000000e+00, 9.99989261e-01,\n -2.52348056e-17, -2.65222956e-17, 9.99990911e-01, 7.27431895e-18,\n -3.81097064e-17, 9.99976379e-01, 1.00001488e+00, 0.00000000e+00,\n -2.47198095e-17, 0.00000000e+00, 9.99993869e-01, -3.58823485e-16,\n -1.48224447e-16, 9.99988640e-01, 9.99995966e-01, 8.23993651e-18,\n -1.23599048e-17, 8.00467291e-01, 1.99534145e-01, -3.50197302e-17,\n 1.10402274e-16, -1.62843355e-16, 9.99988180e-01, 3.65647183e-17,\n 9.26992857e-18, 9.99982333e-01, 8.00008607e-01, 2.00000536e-01,\n 5.04696111e-17, -3.39897381e-17, 0.00000000e+00, 9.99984176e-01,\n 0.00000000e+00, -4.89246230e-17, 9.99981773e-01, 9.99991172e-01,\n 3.50197302e-17, 4.94081490e-17, 0.00000000e+00, -6.40526315e-18,\n 9.99985439e-01, 1.00000071e+00, 0.00000000e+00, -1.58618778e-16,\n 9.88792381e-17, 1.10209151e-16, 9.99987990e-01, 8.00477697e-01,\n 1.99530314e-01, 0.00000000e+00, 9.99992652e-01, 0.00000000e+00,\n 0.00000000e+00, 9.99999766e-01, 0.00000000e+00, 0.00000000e+00,\n 1.00000086e+00, 4.53196508e-17, -1.06089183e-16, 1.23520373e-17,\n 1.00000163e+00, 0.00000000e+00, 4.94081490e-17, 2.00339162e-01,\n 7.99645235e-01, 1.64798730e-17, 0.00000000e+00, 9.99989791e-01,\n 1.00002159e+00, -4.15215551e-17, 3.55347262e-17, -2.57176143e-17,\n 5.23196631e-17, 9.99991222e-01, 2.47040745e-17, 1.00000026e+00,\n -5.27870933e-18, 9.99976085e-01, 0.00000000e+00, -7.72494048e-18,\n 7.82793969e-17, 9.99977487e-01, -5.14996032e-18, 4.11996826e-17,\n 1.00001262e+00, 4.06203120e-17, 9.99977301e-01, 8.23993651e-18,\n 0.00000000e+00, 0.00000000e+00, 9.99995702e-01, 8.78068234e-17,\n 1.00000803e+00, 0.00000000e+00, 2.47040745e-17, -6.90094683e-17,\n -3.70561118e-17, 9.99987705e-01, 1.00000393e+00, -4.28476699e-16,\n 2.61682359e-17, 7.99764674e-01, 2.00238300e-01, 3.50197302e-17,\n 1.00000357e+00, 0.00000000e+00, -7.41594286e-17, 1.23520373e-17,\n 1.00000599e+00, -2.47157861e-17, 9.99998888e-01, 4.94081490e-17,\n -2.27628246e-16, 0.00000000e+00, -4.28927320e-16, 9.99988690e-01,\n 2.00316447e-01, -2.47040745e-17, 7.99650369e-01, -1.08986035e-16,\n 0.00000000e+00, 9.99991794e-01, 1.28749008e-18, 9.06393016e-17,\n 9.99984795e-01, 1.64798730e-17, 3.34747421e-17, 9.99988830e-01,\n -5.14996032e-17, 9.99996219e-01, 0.00000000e+00, 9.99998341e-01,\n 1.00001499e+00, -6.55332451e-17, 0.00000000e+00, 1.99560962e-18,\n 9.99997469e-01, 1.02999206e-17, 3.91396984e-17, -1.82481602e-16,\n 9.99990117e-01, 5.39458343e-17, 1.00001077e+00, 3.45998658e-17,\n -1.50185718e-16, 1.44647499e-16, 9.99994475e-01, 1.00000103e+00,\n 0.00000000e+00, -7.41122235e-17, 1.00000515e+00, 6.17601863e-18,\n 3.83028299e-18, 9.99998737e-01, 1.18449087e-16, -3.29597460e-17,\n 1.00000703e+00, 1.64798730e-17, 1.64798730e-17, 1.67373710e-17,\n 9.99995271e-01, 5.43467295e-21, 1.00000073e+00, -1.85280559e-17,\n -1.08149167e-17, 1.00000955e+00, -1.02999206e-16, 2.21448294e-17,\n -7.66392771e-17, 0.00000000e+00, 9.99979641e-01, 1.00001854e+00,\n 1.04639326e-16, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 9.92951687e-17, 0.00000000e+00, -1.15549375e-16, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -4.94396191e-17, 1.00003084e+00,\n 0.00000000e+00, 6.54044961e-18, -4.37500767e-19, 0.00000000e+00,\n 0.00000000e+00, 1.80016915e+00, 1.99873226e-01, -2.63677968e-17,\n 0.00000000e+00, 9.88792381e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -4.96475844e-17, 0.00000000e+00,\n 0.00000000e+00, 8.52794091e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 4.00003135e+00, 1.00000192e+00, 1.99996881e+00,\n 1.00000808e+00, 0.00000000e+00, -9.88792381e-17, 0.00000000e+00,\n 1.84021756e-18, 1.17096541e-31, 0.00000000e+00, 1.64798730e-17,\n 0.00000000e+00, -1.91998388e-16, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.05998413e-18, 0.00000000e+00,\n 0.00000000e+00, 2.00000245e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -6.17601863e-18, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.85482703e-32, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.45498672e-18, -1.33249077e-18,\n 1.06599261e-17, 0.00000000e+00, -1.29298424e-17, 0.00000000e+00,\n -2.02718173e-16, -2.32797875e-17, 3.58397901e-17, 0.00000000e+00,\n 0.00000000e+00, 8.52794091e-17, 0.00000000e+00, 0.00000000e+00,\n -1.54498810e-18, 0.00000000e+00, -8.23993651e-18, -1.15359111e-16,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 8.00401723e-01,\n -1.54400466e-18, 0.00000000e+00, -2.90997344e-18, 5.85482703e-32,\n 0.00000000e+00, 2.08201682e-20, 1.00001571e+00, 1.19961800e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n -6.02791217e-18, 9.99996062e-01, 0.00000000e+00, 0.00000000e+00,\n -1.28749008e-18, 3.86001164e-18, 0.00000000e+00, 0.00000000e+00,\n 9.99996329e-01, -3.13117587e-17, 0.00000000e+00, 0.00000000e+00,\n 3.08800931e-18, 1.46370676e-32, 0.00000000e+00, -5.76008804e-18,\n 0.00000000e+00, -4.65595750e-17, 0.00000000e+00, 0.00000000e+00,\n 2.05998413e-18, 0.00000000e+00, 4.63201397e-18, -2.57498016e-19,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 6.66245384e-19, -7.45596242e-17, -1.16398938e-17, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.54400466e-18, 0.00000000e+00,\n 6.17601863e-18, 3.63746680e-19, 1.79994404e+00, 4.96475844e-17,\n 0.00000000e+00, 2.00058876e-01, -1.54400466e-18, 3.08800931e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.33249077e-18,\n 4.11996826e-17, 0.00000000e+00, 5.08796411e-17, 5.76008804e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 3.08997619e-18, 0.00000000e+00,\n 9.99941715e-01, 0.00000000e+00, 8.36868552e-19, -5.14996032e-18,\n 9.99989319e-01, 2.99984827e+00, 3.99981983e+00, 0.00000000e+00,\n 1.00001935e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.00020529e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 2.05998413e-18, 1.02999206e-18, 0.00000000e+00,\n 0.00000000e+00, -5.23196631e-17, -1.93599170e-17, 2.32797875e-17,\n -1.54400466e-18, 8.52794091e-17, 0.00000000e+00, 0.00000000e+00,\n 1.54400466e-18, 5.00002514e+00, 1.00000388e+00, -8.74994875e-21,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.54400466e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.00000885e+00,\n 2.00000619e+00, 9.99999865e-01, 1.00000539e+00, -3.63746680e-19,\n 5.14996032e-19, 0.00000000e+00, 6.03126819e-20, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.82589261e-18,\n 0.00000000e+00, 9.99966539e-01, 9.99971551e-01, 0.00000000e+00,\n 0.00000000e+00, 2.32797875e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -9.65617560e-20, -5.27355937e-17, 0.00000000e+00,\n 6.17601863e-18, 0.00000000e+00, 1.41719040e-16, 8.52794091e-17,\n 3.08800931e-18, -4.63496429e-18, 0.00000000e+00, 1.54400466e-17,\n 0.00000000e+00, -7.83974096e-18, 0.00000000e+00, 5.85482703e-32,\n -1.07119175e-16, 0.00000000e+00, -1.64798730e-17, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.19556014e-32,\n -5.35595873e-17, -5.35595873e-17, 0.00000000e+00, 8.52794091e-17,\n -4.65595750e-17, -5.81994688e-18, 3.51289622e-31, 9.99995897e-01,\n 0.00000000e+00, 0.00000000e+00, 9.88792381e-17, -5.19037325e-17,\n -3.91987048e-18, -2.05998413e-18, 0.00000000e+00, 2.00230821e-01,\n 0.00000000e+00, 0.00000000e+00, 5.32996307e-18, 4.80060185e+00,\n 4.80060948e+00, 0.00000000e+00, 0.00000000e+00, 7.99774392e-01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.19943930e+00,\n 2.19944082e+00, 0.00000000e+00, 0.00000000e+00, -1.91998388e-16,\n 7.83974096e-18]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=1435.177158790581, prim_res=0.0001813926935732013, dual_res=0.0003044078087315119, iter=1600, rho_updates=1, rho_estimate=0.008876668917856139, setup_time=0.001846375, solve_time=0.08138075, update_time=0.0, polish_time=0.000499916, run_time=0.083727041))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2669, + "solver_name": "cvxpy_cvxopt", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "degen2", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:02", + "solve_time": 0.0881507396697998, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 2670, + "solver_name": "cvxpy_sdpa", + "solver_version": "cvxpy-1.6.5-SDPA-0.2.2", + "problem_library": "NETLIB", + "problem_name": "degen2", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:03", + "solve_time": 0.0890970230102539, + "status": "OPTIMAL (INACCURATE)", + 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"iterations": 3053, + "memo": { + "solver_solve_time": 0.19701499864459038, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -987.294, + "solver_stats": { + "solve_time": 0.19701499864459038, + "num_iters": 3053, + "solver_name": "HIGHS", + "extra_stats": "" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2682, + "solver_name": "scipy_linprog", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:21", + "solve_time": 0.6787209510803223, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:21 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:21 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:21 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:21 - python_solver_runner - INFO - Subprocess solving dfl001 with scipy_linprog\n2026-07-05 17:50:21 - python_solver_runner - INFO - Solving dfl001 with scipy_linprog\n2026-07-05 17:50:21 - solver_scipy_linprog - INFO - Initialized SciPy solver with method 'highs'\n2026-07-05 17:50:21 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:21 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2683, + "solver_name": "cvxpy_clarabel", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:22", + "solve_time": 0.7879502773284912, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:22 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_clarabel\n2026-07-05 17:50:22 - python_solver_runner - INFO - Solving dfl001 with cvxpy_clarabel\n2026-07-05 17:50:22 - solver_cvxpy_clarabel - INFO - Initialized CVXPY solver 'cvxpy_clarabel' with backend 'CLARABEL'\n2026-07-05 17:50:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2684, + "solver_name": "cvxpy_scs", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:22", + "solve_time": 0.6375408172607422, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:22 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_scs\n2026-07-05 17:50:22 - python_solver_runner - INFO - Solving dfl001 with cvxpy_scs\n2026-07-05 17:50:22 - solver_cvxpy_scs - INFO - Initialized CVXPY solver 'cvxpy_scs' with backend 'SCS'\n2026-07-05 17:50:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2685, + "solver_name": "cvxpy_ecos", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:23", + "solve_time": 0.7123849391937256, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:23 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:23 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:23 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:23 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_ecos\n2026-07-05 17:50:23 - python_solver_runner - INFO - Solving dfl001 with cvxpy_ecos\n2026-07-05 17:50:23 - solver_cvxpy_ecos - INFO - Initialized CVXPY solver 'cvxpy_ecos' with backend 'ECOS'\n2026-07-05 17:50:23 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:23 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2686, + "solver_name": "cvxpy_osqp", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:24", + "solve_time": 0.948065996170044, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:24 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:24 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:24 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:24 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_osqp\n2026-07-05 17:50:24 - python_solver_runner - INFO - Solving dfl001 with cvxpy_osqp\n2026-07-05 17:50:24 - solver_cvxpy_osqp - INFO - Initialized CVXPY solver 'cvxpy_osqp' with backend 'OSQP'\n2026-07-05 17:50:24 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:24 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2687, + "solver_name": "cvxpy_cvxopt", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:25", + "solve_time": 0.9437928199768066, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:25 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:25 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:25 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:25 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_cvxopt\n2026-07-05 17:50:25 - python_solver_runner - INFO - Solving dfl001 with cvxpy_cvxopt\n2026-07-05 17:50:25 - solver_cvxpy_cvxopt - INFO - Initialized CVXPY solver 'cvxpy_cvxopt' with backend 'CVXOPT'\n2026-07-05 17:50:25 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:25 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2688, + "solver_name": "cvxpy_sdpa", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:26", + "solve_time": 0.8969829082489014, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:26 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:26 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:26 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:26 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_sdpa\n2026-07-05 17:50:26 - python_solver_runner - INFO - Solving dfl001 with cvxpy_sdpa\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/cvxpy/problems/problem.py:1504: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n warnings.warn(\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/sdpap/sdpaputils.py:114: RuntimeWarning: k >= N - 1 for N * N square matrix. Attempting to use scipy.linalg.eig instead.\n eig = eigs(mat.toarray(), k=1, which='SM',\n2026-07-05 17:50:26 - solver_cvxpy_sdpa - INFO - Initialized CVXPY solver 'cvxpy_sdpa' with backend 'SDPA'\n2026-07-05 17:50:26 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:26 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2689, + "solver_name": "cvxpy_scip", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:27", + "solve_time": 0.6727578639984131, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:27 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:27 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:27 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:27 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_scip\n2026-07-05 17:50:27 - python_solver_runner - INFO - Solving dfl001 with cvxpy_scip\n2026-07-05 17:50:27 - solver_cvxpy_scip - INFO - Initialized CVXPY solver 'cvxpy_scip' with backend 'SCIP'\n2026-07-05 17:50:27 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:27 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2690, + "solver_name": "cvxpy_highs", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:27", + "solve_time": 0.6777410507202148, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:27 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:27 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:27 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:27 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_highs\n2026-07-05 17:50:27 - python_solver_runner - INFO - Solving dfl001 with cvxpy_highs\n2026-07-05 17:50:27 - solver_cvxpy_highs - INFO - Initialized CVXPY solver 'cvxpy_highs' with backend 'HIGHS'\n2026-07-05 17:50:27 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:27 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2691, + "solver_name": "scipy_linprog", + "solver_version": "scipy-1.15.3", + "problem_library": "NETLIB", + "problem_name": "e226", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:28", + "solve_time": 0.007423877716064453, + "status": "OPTIMAL", + "primal_objective_value": -18.75192906637055, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": 0.0, + "dual_infeasibility": null, + "iterations": 329, + "memo": { + "solver_solve_time": 0.007423877716064453, + "original_status": { + "scipy_status": 0, + "scipy_success": true, + "scipy_message": "Optimization terminated successfully. 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75, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.081874583, + "tsetup": 0.000983958, + "tsolve": 0.080890625 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2713, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "fffff800", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + 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2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1028,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1028,)), dual_inf_cert=array([ 4.28088150e-06, -2.93419984e-06, -3.55276343e-05, -6.88362346e-04,\n -1.49190754e-05, -1.88346726e-05, -5.19817622e-06, 1.04227420e-05,\n -1.83551395e-04, -7.84931501e-05, -3.92781308e-06, -1.03999280e-06,\n -1.38080554e-03, -7.50954685e-04, -6.25069926e-04, -4.51684892e-04,\n -6.95405562e-04, -3.77596941e-04, -3.12201915e-04, -2.40589796e-04,\n -1.37759514e-03, -7.51662501e-04, -6.25985772e-04, -4.81422361e-04,\n -6.90612763e-04, -3.73720927e-04, -3.09733890e-04, -2.39989816e-04,\n -1.11513042e-05, -2.01009426e-06, -3.33499813e-06, -5.97263467e-06,\n -1.66480179e-05, -1.92773600e-06, -4.66346795e-06, -1.06176257e-05,\n -2.21172268e-05, -2.91450717e-06, -4.71195925e-06, -1.52010983e-05,\n -2.23248944e-05, -1.98344552e-06, -5.83946653e-06, -1.79001163e-05,\n -2.67541549e-05, -6.40664989e-06, -7.62017921e-06, -2.25431449e-05,\n -2.61209678e-05, -6.48268092e-06, -8.12976820e-06, -2.50039000e-05,\n -2.59562941e-05, -5.45987255e-06, -8.26148766e-06, -2.46303003e-05,\n 1.50097262e-04, 1.30310844e-04, 1.33409595e-04, 1.48069621e-04,\n 2.25320446e-04, 3.82442567e-04, 5.03859214e-05, 1.54255369e-04,\n 1.29700256e-04, 4.15241597e-05, -5.52838993e-05, -5.91195507e-05,\n -5.95175114e-05, -5.77183641e-05, -4.21117200e-05, -4.71894410e-05,\n -5.01821535e-05, -5.13600471e-05, 8.16683550e-03, 1.64662300e-03,\n 2.47508676e-03, 6.87700404e-03, -8.05196192e-03, -1.48072723e-03,\n -2.21522734e-03, -6.65799593e-03, 8.57160876e-05, -1.06264791e-05,\n 1.84488087e-06, -3.99423268e-06, -5.21047232e-06, -7.48658800e-06,\n -1.16246337e-06, -8.05801073e-07, -5.08275238e-07, -1.84839689e-07,\n -8.94315404e-06, -8.03796661e-06, -6.28690388e-06, -4.72678221e-06,\n -3.30036364e-06, -2.74650213e-06, -1.31798529e-06, -1.52136945e-06,\n -1.17716815e-06, -3.05475876e-06, -5.42875769e-06, -1.97261643e-06,\n 6.69416898e-06, 6.07949212e-06, 5.14801719e-06, 1.83857297e-06,\n -8.06012065e-06, -3.14901972e-06, -1.80599782e-06, -2.19605733e-06,\n -2.08672214e-06, -1.38081284e-06, -8.40242617e-07, -3.66229093e-07,\n 7.78529747e-06, 5.40443352e-06, -9.31076611e-06, 1.35455866e-06,\n 1.10650004e-05, 7.76680858e-06, -9.15075941e-06, 2.62852521e-06,\n 9.13476016e-06, 6.21812252e-06, -1.02656663e-05, 1.58592299e-06,\n 9.72075011e-06, 6.60538069e-06, -1.14223701e-05, 1.60554838e-06,\n 9.15788078e-06, 6.13384017e-06, -1.09507949e-05, 1.46383908e-06,\n 4.41118632e-06, 7.20932821e-06, 3.75692139e-07, 5.69703698e-06,\n 9.67497007e-06, 6.56469467e-06, -1.12808522e-05, 1.59368876e-06,\n 7.89414572e-06, 4.30851153e-06, -1.30229256e-05, -2.12250274e-06,\n 5.94292783e-05, 4.81877742e-05, 2.55763342e-05, 4.39281850e-05,\n 5.49150963e-06, -1.18359589e-06, -1.78553836e-05, 1.11108706e-05,\n 7.46677415e-06, 4.35140473e-06, -1.36763461e-05, -6.48427576e-07,\n 8.36483230e-06, 2.70272193e-06, -1.08600057e-05, 6.19432073e-06,\n 3.13385910e-04, -4.80383406e-06, -1.32807487e-05, -9.83351083e-06,\n 8.26723006e-06, 4.47073941e-06, -1.32488153e-05, -2.20824946e-06,\n -2.04674839e-07, -2.37021766e-07, -3.87973245e-07, -2.55978841e-07,\n 1.66840239e-05, -1.16876876e-05, 3.17760994e-05, 2.31986103e-05,\n -4.99079708e-06, -3.14782276e-06, 1.45595793e-05, 7.75927458e-06,\n -1.01863944e-05, -1.62945693e-05, -3.74569685e-05, -3.80806974e-05,\n -1.03516180e-05, -1.65093500e-05, -3.84074091e-05, -3.84506706e-05,\n 1.17323857e-05, 1.89087909e-05, 4.32975552e-05, 4.16746781e-05,\n -1.02138667e-05, -1.60304575e-05, -3.80982570e-05, -3.84764905e-05,\n 9.69035089e-06, 2.37982100e-05, 5.53515645e-05, 5.35313666e-05,\n -1.03591005e-05, -1.65458784e-05, -3.85819047e-05, -3.89924398e-05,\n 9.83667468e-06, 2.45655760e-05, 5.62804574e-05, 5.42184834e-05,\n -1.03104848e-05, -1.64277301e-05, -3.85297447e-05, -3.91122885e-05,\n 1.03833063e-05, 1.66754206e-05, 3.91117551e-05, 4.00185049e-05,\n -1.00889827e-05, -1.57600598e-05, -3.73345946e-05, -3.63881864e-05,\n 9.87607545e-06, -1.62450744e-05, 4.65660910e-06, -7.99146360e-06,\n -1.03113760e-05, -1.62451114e-05, -3.79132431e-05, -3.72855722e-05,\n -6.00483015e-06, -1.25597977e-05, -4.21969753e-05, -3.02363877e-05,\n -1.03525304e-05, -1.65094343e-05, -3.84793942e-05, -3.86942196e-05,\n 1.37240362e-05, 2.36044786e-05, 4.83082775e-05, 4.70749694e-05,\n -1.01572613e-05, -1.59900235e-05, -3.79551206e-05, -3.79750784e-05,\n 1.06179408e-05, 1.67892730e-05, 3.95855798e-05, 3.90517809e-05,\n -1.01113810e-05, -1.58305023e-05, -3.78523977e-05, -3.79832205e-05,\n 9.93690630e-06, 1.84190757e-05, 4.36038771e-05, 4.30040836e-05,\n -1.01596976e-05, -1.60022180e-05, -3.80134371e-05, -3.81558665e-05,\n 9.98564876e-06, 1.86754384e-05, 4.39130320e-05, 4.32323162e-05,\n -1.01449212e-05, -1.59619628e-05, -3.79927537e-05, -3.81983775e-05,\n 1.01696808e-05, 1.60453338e-05, 3.81874928e-05, 3.85019682e-05,\n -1.00696719e-05, -1.57402646e-05, -3.75975613e-05, -3.72875024e-05,\n 9.99782902e-06, 5.26552167e-06, 2.68990329e-05, 2.27254312e-05,\n -2.03067347e-05, -6.56698409e-06, -3.85315679e-05, -2.61248308e-05,\n -1.01575260e-05, -1.59900855e-05, -3.79792671e-05, -3.80565782e-05,\n 1.12810636e-05, 1.83546561e-05, 4.12551352e-05, 4.08522021e-05,\n -1.00600124e-05, -1.57303836e-05, -3.77291663e-05, -3.77372731e-05,\n 1.00600124e-05, 1.57303836e-05, 3.77291663e-05, 3.77372731e-05,\n -1.00629256e-05, -1.57359650e-05, -3.77361742e-05, -3.77519504e-05,\n 1.00401214e-05, 1.61670566e-05, 3.86830557e-05, 3.85933023e-05,\n -1.00701844e-05, -1.57581186e-05, -3.77581679e-05, -3.77799823e-05,\n 1.00496226e-05, 1.61459293e-05, 3.86017458e-05, 3.85136567e-05,\n -1.00601891e-05, -1.57301655e-05, -3.77225460e-05, -3.77155917e-05,\n 1.00873511e-05, 1.43741952e-05, 3.64060905e-05, 3.60296064e-05,\n -1.56230132e-05, 1.28313537e-05, -1.18363783e-05, -1.51134012e-05,\n -1.00609444e-05, -1.57328894e-05, -3.77315958e-05, -3.77403616e-05,\n 1.01042461e-05, 1.58264223e-05, 3.78581177e-05, 3.78534953e-05,\n 9.72084732e-06, 6.60544675e-06, -1.14224843e-05, 1.60556444e-06,\n -1.00601130e-05, -1.57305409e-05, -3.77295435e-05, -3.77376505e-05,\n -5.70726227e-01, 1.00000000e+00, -2.40448296e-11, 1.16467327e-07,\n 5.82089401e-07, 6.74962861e-07, -1.39400497e-06, -1.77418820e-06,\n -1.65102095e-06, 6.83808028e-07, 2.63627854e-06, 4.12579257e-06,\n 1.44464101e-07, 1.37297473e-07, 9.36099632e-08, -6.88674542e-07,\n -5.72249491e-07, -2.13100202e-07, 1.69958003e-06, -3.26006023e-06,\n -9.95132598e-07, -2.61736949e-05, -1.43362101e-05, -1.31166939e-05,\n 7.22134424e-07, -8.58161692e-11, -8.30807888e-06, -8.20545367e-06,\n -3.81803080e-06, -2.47781662e-06, -2.57820269e-06, -2.68319691e-06,\n -1.61286910e-06, -1.96865630e-07, 9.97370599e-08, -6.46401825e-10,\n -5.98422643e-07, -1.69786839e-10, 5.03247014e-08, -1.61528784e-11,\n 5.93580972e-08, -2.49617826e-09, 1.02447258e-05, 9.55667684e-07,\n 1.18406781e-05, 1.96051189e-07, -2.71343241e-05, -5.33487783e-06,\n -1.11106501e-06, -1.84274522e-06, -2.30944680e-06, 1.60267426e-06,\n 1.78531809e-06, 3.64226811e-07, -3.49267066e-10, -2.08578426e-06,\n -1.21046840e-05, -9.55855590e-07, -4.97314730e-09, -3.55959530e-06,\n -7.81499982e-06, -1.24947539e-06, 5.07592380e-11, -2.30803233e-07,\n -5.52837621e-05, -5.91204115e-05, -5.95175736e-05, -5.77166017e-05,\n -4.21116312e-05, -4.71899889e-05, -5.01822036e-05, -5.13586461e-05,\n -1.33681861e-05, -1.85494286e-05, -3.29962769e-05, -2.08021613e-05,\n -5.31343137e-06, -5.31343137e-06, -7.86339629e-06, -1.51439245e-05,\n -2.17546712e-05, -2.16042982e-05, -5.86130341e-06, 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Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 2716, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "fffff800", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:51:06", + "solve_time": 0.04250001907348633, + "status": "OPTIMAL", + "primal_objective_value": 0.0, + "dual_objective_value": 555679.5648174956, + "duality_gap": -555679.5648174956, + "primal_infeasibility": 1.633696068512883, + "dual_infeasibility": 1.18138532250782e-12, + "iterations": null, + "memo": { + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 555679.5648174956, + "solver_stats": { + "solver_name": "SCIP" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2717, + "solver_name": "cvxpy_highs", + "solver_version": "cvxpy-1.6.5-HIGHS-1.11.0", + "problem_library": "NETLIB", + "problem_name": "fffff800", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:51:07", + "solve_time": 0.011975765228271484, + "status": "OPTIMAL", + "primal_objective_value": 555679.5648174963, + "dual_objective_value": 555679.5648174956, + "duality_gap": 6.984919309616089e-10, + "primal_infeasibility": 2.2030637468642783e-16, + "dual_infeasibility": 2.3348258728322875e-14, + "iterations": 293, + "memo": { + "solver_solve_time": 0.006421374157071114, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 555679.5648174956, + "solver_stats": { + "solve_time": 0.006421374157071114, + "num_iters": 293, + "solver_name": "HIGHS", + "extra_stats": "" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2718, + "solver_name": "scipy_linprog", + "solver_version": "scipy-1.15.3", + "problem_library": "NETLIB", + "problem_name": "finnis", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:51:08", + "solve_time": 0.00966191291809082, + "status": "OPTIMAL", + "primal_objective_value": 72756.43747440031, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": 0.0, + "dual_infeasibility": null, + "iterations": 356, + "memo": { + "solver_solve_time": 0.00966191291809082, + "original_status": { + "scipy_status": 0, + "scipy_success": true, + "scipy_message": "Optimization terminated successfully. 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-7.61442208e-07 -7.64138630e-07]", + "y": "[]", + "z": "[2.88514780e-11 3.08409985e+03 3.03900000e+03 ... 3.11037720e-11\n 1.00003177e-03 1.00003135e-03]", + "s": "[2.62609912e+01 2.47547765e-13 2.51222477e-13 ... 2.43276203e+01\n 7.61443251e-07 7.64139673e-07]", + "info": { + "exitFlag": 0, + "pcost": -72756.46661726305, + "dcost": -72756.46661790462, + "pres": 6.608258801103661e-10, + "dres": 5.620990756691875e-13, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": NaN, + "dinfres": 1.0557322926319266, + "gap": 1.0738312639370662e-05, + "relgap": 1.4759255278104397e-10, + "r0": 1e-08, + "iter": 29, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.009384291000000001, + "tsetup": 0.000559791, + "tsolve": 0.0088245 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2722, + "solver_name": "cvxpy_osqp", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "finnis", + "problem_type": "LP", + 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1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 1.64154212e-01 3.93689234e+08 3.90503093e+08 1.78370898e+07\n 1.80839888e+07 1.80847666e+07 1.80853013e+07 1.80856416e+07\n 1.80858846e+07 3.92558067e+08 3.87946832e+08]", + "info": { + "exitFlag": 2, + "pcost": -924479238215.9592, + "dcost": -32.04395802918402, + "pres": 0.4068278425068653, + "dres": 0.1363092638424019, + "pinf": 0.0, + "dinf": 1.0, + "pinfres": NaN, + "dinfres": 1.0950988144939399e-09, + "gap": 0.00769988658193687, + "relgap": 8.328890756698821e-15, + "r0": 1e-08, + "iter": 6, + "mi_iter": -1, + "infostring": "Dual infeasible", + "timing": { + "runtime": 0.000253666, + "tsetup": 5.1291e-05, + "tsolve": 0.000202375 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2767, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "forplan", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:00:58", + "solve_time": 0.003693103790283203, + "status": "UNBOUNDED", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "solver_solve_time": 0.00026045800000000003, + "original_status": { + "cvxpy_status": "unbounded", + "cvxpy_value": Infinity, + "solver_stats": { + "solve_time": 0.00026045800000000003, + "solver_name": "OSQP", + "extra_stats": "namespace(x=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([-3.81217337e-02, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -5.25815972e-05, -3.83023955e-05,\n -3.83023934e-05, -3.83023920e-05, -3.83023911e-05, -3.83023905e-05,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.00000000e+00, -1.00000000e+00,\n -1.00000000e+00, -1.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 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{ + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:14", + "solve_time": 8.22394609451294, + "status": "OPTIMAL", + "primal_objective_value": -109585.7758379213, + "dual_objective_value": -109585.76914306471, + "duality_gap": -0.006694856594549492, + "primal_infeasibility": 4.8094940066562525e-08, + "dual_infeasibility": 1.2952949061913878e-09, + "iterations": null, + "memo": { + "iteration_info_limitation": "CVXOPT does not provide iteration count through CVXPY", + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -109585.76914306471, + "solver_stats": { + "solver_name": "CVXOPT" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2778, + "solver_name": "cvxpy_sdpa", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "ganges", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:15", + "solve_time": 0.13807916641235352, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 2779, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "ganges", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:16", + "solve_time": 0.07585930824279785, + "status": "OPTIMAL", + "primal_objective_value": -109585.73612927785, + "dual_objective_value": -109585.73612927811, + "duality_gap": 2.6193447411060333e-10, + "primal_infeasibility": 1.2045918452277633, + "dual_infeasibility": 9.11822315196359e-15, + "iterations": null, + "memo": { + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -109585.73612927811, + "solver_stats": { + "solver_name": "SCIP" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2780, + "solver_name": "cvxpy_highs", + "solver_version": "cvxpy-1.6.5-HIGHS-1.11.0", + "problem_library": "NETLIB", + "problem_name": "ganges", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:17", + "solve_time": 0.03281998634338379, + "status": "OPTIMAL", + "primal_objective_value": -109585.73612927814, + "dual_objective_value": -109585.7361292782, + "duality_gap": 5.820766091346741e-11, + "primal_infeasibility": 3.7648257104679316e-17, + "dual_infeasibility": 1.1403314017089986e-14, + "iterations": 880, + "memo": { + "solver_solve_time": 0.012828124687075615, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -109585.7361292782, + "solver_stats": { + "solve_time": 0.012828124687075615, + "num_iters": 880, + "solver_name": "HIGHS", + "extra_stats": "" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2781, + "solver_name": "scipy_linprog", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:18", + "solve_time": 0.5794591903686523, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:18 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:18 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:18 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:18 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with scipy_linprog\n2026-07-05 18:01:18 - python_solver_runner - INFO - Solving gfrd_pnc with scipy_linprog\n2026-07-05 18:01:18 - solver_scipy_linprog - INFO - Initialized SciPy solver with method 'highs'\n2026-07-05 18:01:18 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:18 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2782, + "solver_name": "cvxpy_clarabel", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:18", + "solve_time": 0.5798001289367676, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:18 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:18 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:18 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:18 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_clarabel\n2026-07-05 18:01:18 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_clarabel\n2026-07-05 18:01:18 - solver_cvxpy_clarabel - INFO - Initialized CVXPY solver 'cvxpy_clarabel' with backend 'CLARABEL'\n2026-07-05 18:01:18 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:18 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2783, + "solver_name": "cvxpy_scs", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:19", + "solve_time": 0.6517829895019531, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:19 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:19 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:19 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:19 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_scs\n2026-07-05 18:01:19 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_scs\n2026-07-05 18:01:19 - solver_cvxpy_scs - INFO - Initialized CVXPY solver 'cvxpy_scs' with backend 'SCS'\n2026-07-05 18:01:19 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:19 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2784, + "solver_name": "cvxpy_ecos", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:19", + "solve_time": 0.5855271816253662, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:19 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:19 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:19 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:19 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_ecos\n2026-07-05 18:01:19 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_ecos\n2026-07-05 18:01:19 - solver_cvxpy_ecos - INFO - Initialized CVXPY solver 'cvxpy_ecos' with backend 'ECOS'\n2026-07-05 18:01:19 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:19 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2785, + "solver_name": "cvxpy_osqp", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:20", + "solve_time": 0.5246739387512207, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:20 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:20 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:20 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:20 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_osqp\n2026-07-05 18:01:20 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_osqp\n2026-07-05 18:01:20 - solver_cvxpy_osqp - INFO - Initialized CVXPY solver 'cvxpy_osqp' with backend 'OSQP'\n2026-07-05 18:01:20 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:20 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2786, + "solver_name": "cvxpy_cvxopt", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:21", + "solve_time": 0.5682611465454102, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:20 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:20 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:20 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:20 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_cvxopt\n2026-07-05 18:01:20 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_cvxopt\n2026-07-05 18:01:20 - solver_cvxpy_cvxopt - INFO - Initialized CVXPY solver 'cvxpy_cvxopt' with backend 'CVXOPT'\n2026-07-05 18:01:20 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:20 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2787, + "solver_name": "cvxpy_sdpa", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:21", + "solve_time": 0.659430980682373, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:21 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:21 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:21 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:21 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_sdpa\n2026-07-05 18:01:21 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_sdpa\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/cvxpy/problems/problem.py:1504: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n warnings.warn(\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/sdpap/sdpaputils.py:114: RuntimeWarning: k >= N - 1 for N * N square matrix. Attempting to use scipy.linalg.eig instead.\n eig = eigs(mat.toarray(), k=1, which='SM',\n2026-07-05 18:01:21 - solver_cvxpy_sdpa - INFO - Initialized CVXPY solver 'cvxpy_sdpa' with backend 'SDPA'\n2026-07-05 18:01:21 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:21 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2788, + "solver_name": "cvxpy_scip", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:22", + "solve_time": 0.570828914642334, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:22 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_scip\n2026-07-05 18:01:22 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_scip\n2026-07-05 18:01:22 - solver_cvxpy_scip - INFO - Initialized CVXPY solver 'cvxpy_scip' with backend 'SCIP'\n2026-07-05 18:01:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2789, + "solver_name": "cvxpy_highs", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:22", + "solve_time": 0.5864620208740234, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:22 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_highs\n2026-07-05 18:01:22 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_highs\n2026-07-05 18:01:22 - solver_cvxpy_highs - INFO - Initialized CVXPY solver 'cvxpy_highs' with backend 'HIGHS'\n2026-07-05 18:01:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2790, + "solver_name": "scipy_linprog", + "solver_version": "scipy-1.15.3", + "problem_library": "NETLIB", + "problem_name": "greenbea", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:24", + "solve_time": 0.27950096130371094, + "status": "OPTIMAL", + "primal_objective_value": -72555539.72984597, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": 0.0, + "dual_infeasibility": null, + "iterations": 2942, + "memo": { + "solver_solve_time": 0.27950096130371094, + "original_status": { + "scipy_status": 0, + "scipy_success": true, + "scipy_message": "Optimization terminated successfully. (HiGHS Status 7: Optimal)", + "scipy_fun": -72555539.72984597, + "scipy_nit": 2942, + "scipy_crossover_nit": 0, + "scipy_mip_dual_bound": 0.0, + "scipy_mip_gap": 0.0, + "scipy_mip_node_count": 0 + }, + "problem_class": "LP" + } + }, + { + "id": 2791, + "solver_name": "cvxpy_clarabel", + "solver_version": "cvxpy-1.6.5-CLARABEL-0.11.0", + "problem_library": "NETLIB", + "problem_name": "greenbea", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:27", + "solve_time": 1.006890058517456, + "status": "OPTIMAL", + "primal_objective_value": -72462797.52317087, + "dual_objective_value": -72462797.37399621, + "duality_gap": -0.14917466044425964, + "primal_infeasibility": 2.9135073544201153e-07, + "dual_infeasibility": 1.360273825189103e-10, + "iterations": 44, + "memo": { + "solver_solve_time": 0.923988379, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -72462797.37399621, + "solver_stats": { + "solve_time": 0.923988379, + "num_iters": 44, + "solver_name": "CLARABEL" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2792, + "solver_name": "cvxpy_scs", + "solver_version": "cvxpy-1.6.5-SCS-3.2.7.post2", + "problem_library": "NETLIB", + "problem_name": "greenbea", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:02:10", + "solve_time": 41.37846302986145, + "status": "OPTIMAL (INACCURATE)", + "primal_objective_value": -65259701.23942912, + "dual_objective_value": -65257384.55879246, + "duality_gap": -2316.680636666715, + "primal_infeasibility": 6.3759538290874915e-06, + "dual_infeasibility": 1.7139823106787383e-05, + "iterations": 100000, + "memo": { + "solver_solve_time": 41.279718791, + "original_status": { + "cvxpy_status": "optimal_inaccurate", + "cvxpy_value": -65257384.55879246, + "solver_stats": { + "solve_time": 41.279718791, + "setup_time": 0.016216583, + "num_iters": 100000, + "solver_name": "SCS", + "extra_stats": { + "x": "[ 3.21712119e+02 3.12669635e+02 1.18465562e+02 ... -1.48138455e-02\n -6.78117971e-04 -1.08786712e-02]", + "y": "[2.00790922e-12 0.00000000e+00 7.56955247e+05 ... 5.99000252e+02\n 2.99999130e+01 4.66984097e+02]", + "s": "[267926.89441097 329652.94284373 0. ... 0.\n 0. 0. ]", + "info": { + "status_val": 2, + "iter": 100000, + "scale_updates": 4, + "scale": 0.09294274055972013, + "pobj": 65257384.55879245, + "dobj": 65259701.2394291, + "res_pri": 14.83280861811499, + "res_dual": 0.0791093527250682, + "gap": 2316.6806366492488, + "res_infeas": 0.0001829306566421614, + "res_unbdd_a": NaN, + "res_unbdd_p": NaN, + "comp_slack": 1.4830011066682256e-07, + "solve_time": 41279.718791, + "setup_time": 16.216583, + "lin_sys_time": 37010.84347800043, + "cone_time": 1709.4686100001488, + "accel_time": 349.86848200011565, + "rejected_accel_steps": 906, + "accepted_accel_steps": 0, + "status": "solved (inaccurate - 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Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 2813, + "solver_name": "cvxpy_cvxopt", + "solver_version": "cvxpy-1.6.5-CVXOPT-1.3.2", + "problem_library": "NETLIB", + "problem_name": "grow15", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:03:35", + "solve_time": 0.0760197639465332, + "status": "INFEASIBLE", + 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1.35940987e-08\n 1.90119720e-08 4.01815099e-09 1.51261033e-09 1.76433831e-07\n 3.48861157e-08 9.41798988e-09 1.66143109e-08 2.58527888e-08\n 5.68079814e-10]", + "info": { + "exitFlag": 0, + "pcost": 47787811.812321424, + "dcost": 47787811.81483628, + "pres": 2.6621062105340104e-10, + "dres": 8.556416392524518e-11, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": 0.9719155121657885, + "dinfres": NaN, + "gap": 0.21206172767269416, + "relgap": 4.437569321951191e-09, + "r0": 1e-08, + "iter": 12, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.003713374, + "tsetup": 0.000377666, + "tsolve": 0.003335708 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2830, + "solver_name": "cvxpy_osqp", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "grow7", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + 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Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 2831, + "solver_name": "cvxpy_cvxopt", + "solver_version": "cvxpy-1.6.5-CVXOPT-1.3.2", + "problem_library": "NETLIB", + "problem_name": "grow7", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:03:49", + "solve_time": 0.033721208572387695, + "status": "INFEASIBLE", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "iteration_info_limitation": "CVXOPT does not provide iteration count through CVXPY", + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "infeasible", + "cvxpy_value": -Infinity, + "solver_stats": { + "solver_name": "CVXOPT" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2832, + "solver_name": "cvxpy_sdpa", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "grow7", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:03:50", + "solve_time": 0.10722827911376953, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "Solver 'SDPA' failed. 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2.0699780880131388e-10, + "r0": 1e-08, + "iter": 19, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.00333, + "tsetup": 0.00035225, + "tsolve": 0.00297775 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2839, + "solver_name": "cvxpy_osqp", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "israel", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": 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Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 2840, + "solver_name": "cvxpy_cvxopt", + "solver_version": "cvxpy-1.6.5-CVXOPT-1.3.2", + "problem_library": "NETLIB", + "problem_name": "israel", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:03:56", + "solve_time": 0.2925879955291748, + "status": "OPTIMAL", + "primal_objective_value": -896644.8098370424, + "dual_objective_value": -896644.8151543809, + "duality_gap": 0.0053173385094851255, + "primal_infeasibility": 1.6519762416536464e-08, + "dual_infeasibility": 1.2987126958032036e-15, + "iterations": null, + "memo": { + "iteration_info_limitation": "CVXOPT does not provide iteration count through CVXPY", + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -896644.8151543809, + "solver_stats": { + "solver_name": "CVXOPT" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2841, + "solver_name": "cvxpy_sdpa", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "israel", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:03:57", + "solve_time": 0.028448820114135742, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "Solver 'SDPA' failed. 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"version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:06:55", + "solve_time": 0.009865045547485352, + "status": "INFEASIBLE", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "solver_solve_time": 0.002215207, + "original_status": { + "cvxpy_status": "infeasible", + "cvxpy_value": -Infinity, + "solver_stats": { + "solve_time": 0.002215207, + "solver_name": "OSQP", + "extra_stats": "namespace(x=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 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2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1620,)), prim_inf_cert=array([1.00000000e+00, 9.99984193e-01, 0.00000000e+00, ...,\n 0.00000000e+00, 8.22796897e-05, 0.00000000e+00], shape=(1620,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 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1.1956200428964836e-14, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": 0.2850813619424992, + "dinfres": NaN, + "gap": 8.624666935463674e-05, + "relgap": 9.307661702071562e-09, + "r0": 1e-08, + "iter": 100, + "mi_iter": -1, + "infostring": "Close to optimal solution found", + "timing": { + "runtime": 0.20868537499999998, + "tsetup": 0.00122925, + "tsolve": 0.207456125 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2893, + "solver_name": "cvxpy_osqp", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "perold", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": 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Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 2894, + "solver_name": "cvxpy_cvxopt", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "perold", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:07:25", + "solve_time": 0.10582327842712402, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "ARPACK error -1: No convergence (881 iterations, 0/1 eigenvectors converged)", + "problem_class": "LP" + } + }, + { + "id": 2895, + "solver_name": "cvxpy_sdpa", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "perold", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:07:26", + "solve_time": 0.10015606880187988, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "Solver 'SDPA' failed. 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'OSQP' failed. Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 2930, + "solver_name": "cvxpy_cvxopt", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "pilot4", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:10:32", + "solve_time": 0.10292482376098633, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "ARPACK error -1: No convergence (881 iterations, 0/1 eigenvectors converged)", + "problem_class": "LP" + } + }, + { + "id": 2931, + "solver_name": "cvxpy_sdpa", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "pilot4", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:10:32", + "solve_time": 0.06896400451660156, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 2932, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "pilot4", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:10:33", + "solve_time": 0.05733776092529297, + "status": "OPTIMAL", + "primal_objective_value": -3712.1651465642517, + "dual_objective_value": -3712.1651465645996, + "duality_gap": 3.4788172342814505e-10, + "primal_infeasibility": 137.75322818009923, + "dual_infeasibility": 6.400775000771978e-13, + "iterations": null, + "memo": { + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -3712.1651465645996, + "solver_stats": { + "solver_name": "SCIP" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2933, + "solver_name": "cvxpy_highs", + "solver_version": "cvxpy-1.6.5-HIGHS-1.11.0", + "problem_library": "NETLIB", + "problem_name": "pilot4", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:10:34", + "solve_time": 0.023590087890625, + "status": "OPTIMAL", + "primal_objective_value": -3712.1651465649084, + "dual_objective_value": -3712.165146564911, + "duality_gap": 2.7284841053187847e-12, + "primal_infeasibility": 156.1215194576481, + "dual_infeasibility": 3.7986363554784654e-14, + "iterations": 591, + "memo": { + "solver_solve_time": 0.014509998261928558, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -3712.165146564911, + "solver_stats": { + "solve_time": 0.014509998261928558, + "num_iters": 591, + "solver_name": "HIGHS", + "extra_stats": "" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2934, + "solver_name": "scipy_linprog", + "solver_version": "scipy-1.15.3", + "problem_library": "NETLIB", + "problem_name": "pilot87", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:10:38", + "solve_time": 3.0696630477905273, + "status": "OPTIMAL", + "primal_objective_value": 301.71156513310814, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": 0.0, + "dual_infeasibility": null, + "iterations": 9695, + "memo": { + "solver_solve_time": 3.0696630477905273, + "original_status": { + "scipy_status": 0, + "scipy_success": true, + "scipy_message": "Optimization terminated successfully. 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Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 2938, + "solver_name": "cvxpy_osqp", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "pilot87", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:12:53", + "solve_time": 9.956794261932373, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 2939, + "solver_name": "cvxpy_cvxopt", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "pilot87", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:14:54", + "solve_time": 120.0, + "status": "TIMEOUT", + "primal_objective_value": null, + 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2.27007954e+00]", + "info": { + "exitFlag": 0, + "pcost": 266.2920000160695, + "dcost": 266.29200003650686, + "pres": 3.2847936371722345e-13, + "dres": 1.0812000701301106e-12, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": 0.852852674388207, + "dinfres": NaN, + "gap": 1.9643715680051724e-06, + "relgap": 7.376757723611187e-09, + "r0": 1e-08, + "iter": 12, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.000847458, + "tsetup": 7.4375e-05, + "tsolve": 0.000773083 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2956, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "recipe", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:15:59", + "solve_time": 0.005832195281982422, + "status": "OPTIMAL", + "primal_objective_value": -266.2929194510166, + "dual_objective_value": -266.2924300452022, + "duality_gap": -0.0004894058143918301, + "primal_infeasibility": 7.641065063317544e-08, + "dual_infeasibility": 2.1806826339916493e-07, + "iterations": 575, + "memo": { + "solver_solve_time": 0.003206332, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -266.2924300452022, + "solver_stats": { + "solve_time": 0.003206332, + "num_iters": 575, + "solver_name": "OSQP", + "extra_stats": "namespace(x=array([ 0.00000000e+00, 0.00000000e+00, 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2.00000000e+01, 1.61313661e-14, 2.00000000e+01,\n -2.13147199e-14, 2.00004727e+01, 0.00000000e+00, 1.99999654e+01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.00000000e+00, 0.00000000e+00,\n 1.50005566e+01, 1.61979805e-16, 0.00000000e+00, 0.00000000e+00,\n 1.00000306e+01, 1.50000000e+01, 1.00000162e+01, 1.50000000e+01,\n 0.00000000e+00, 8.00000000e+00, 0.00000000e+00, 2.99991617e+00,\n -1.39461607e-16, 9.99995929e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.00000001e+00,\n 5.03853159e-16, 5.00000000e+00, 0.00000000e+00, 1.20005566e+01,\n 1.61979805e-16, 0.00000000e+00, 7.19070131e-17, 1.00000306e+01,\n 1.50000000e+01, 1.00000162e+01, 1.00000000e+01, 4.03082527e-15,\n 5.00000000e+00, 4.03082527e-15, 2.99991617e+00, -1.34983170e-16,\n 9.99995929e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.00000001e+00, 0.00000000e+00,\n 7.49307119e-33, 0.00000000e+00, 1.20005565e+01, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.00000306e+01, 1.50000000e+01,\n 1.00000162e+01, 1.00000000e+01, 0.00000000e+00, 1.00000000e+01,\n 4.03082527e-15, 2.99991618e+00, 0.00000000e+00, 9.99995929e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.00000177e+01, 2.00000000e+01,\n 2.00000094e+01, 2.00000000e+01, 0.00000000e+00, 2.00000000e+01,\n 0.00000000e+00, 2.00003227e+01, -1.11569285e-15, 1.99999764e+01,\n 0.00000000e+00, -2.69966341e-15, -5.75760172e-16, 1.07986536e-15,\n 7.10743342e-16, 0.00000000e+00, 4.03082527e-15, 0.00000000e+00,\n -4.02867814e-16, 0.00000000e+00, 2.23138571e-15, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 7.19999740e+01, 1.90000000e+01, 6.69999862e+01,\n 8.99999999e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 7.99952727e+00, 2.00000000e+01, 5.10000346e+01, 1.30000005e+02,\n 4.50000000e+01, 5.30000024e+01, 5.50000000e+01, 7.50000000e+01,\n 1.10000000e+02, 0.00000000e+00, 5.79994434e+01, 4.80000000e+02,\n 1.53999994e+02, 1.21000000e+02, 2.99999694e+01, 1.00000000e+01,\n 5.69999838e+01, 0.00000000e+00, 0.00000000e+00, 3.62767271e-17,\n 0.00000000e+00, -1.34983170e-17, 2.00000000e+01, 5.10000407e+01,\n 1.30000005e+02, 5.50000000e+01, 9.30000024e+01, 5.50000000e+01,\n 7.50000000e+01, 1.10000000e+02, 0.00000000e+00, 5.49994434e+01,\n 4.80000000e+02, 1.53999994e+02, 1.21000000e+02, 2.99999694e+01,\n 0.00000000e+00, 1.69999838e+01, 6.74915852e-17, -3.88751531e-15,\n 8.43644815e-18, 0.00000000e+00, -2.02474756e-17, 2.00000000e+01,\n 5.10000407e+01, 1.30000005e+02, 5.50000000e+01, 9.30000024e+01,\n 5.50000000e+01, 7.50000000e+01, 1.05000000e+02, 0.00000000e+00,\n 5.49994435e+01, 4.98000000e+03, 1.53999994e+02, 1.10000000e+02,\n 2.99999694e+01, 1.57454112e-17, 1.69999838e+01, 6.74915852e-17,\n 1.43309959e-16, 5.00000000e+00, 0.00000000e+00, -2.02474756e-17,\n 2.00000000e+01, 5.10000407e+01, 0.00000000e+00, -9.71878827e-15,\n 0.00000000e+00, -4.85939414e-15, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.61979805e-15, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=266.2924300452022, prim_res=4.008689601225786e-06, dual_res=0.00032267554932493073, iter=575, rho_updates=2, rho_estimate=0.2061554426538381, setup_time=0.000135333, solve_time=0.003024208, update_time=0.0, polish_time=4.6791e-05, run_time=0.003206332))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2957, + "solver_name": "cvxpy_cvxopt", + "solver_version": "cvxpy-1.6.5-CVXOPT-1.3.2", + "problem_library": "NETLIB", + "problem_name": "recipe", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + 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7.73694815e-09 6.04814435e-09\n 8.02560542e-09 1.86075122e-08 1.55537395e-08 1.53974595e-08\n 1.52603623e-08 1.51678679e-08 1.51890786e-08 1.56004830e-08\n 1.55042694e-08 1.57017124e-08 1.55125696e-08 1.67546075e-08\n 1.66042134e-08 1.31999981e-01 2.63999980e-01]", + "info": { + "exitFlag": 0, + "pcost": 14753433.059801454, + "dcost": 14753433.060014255, + "pres": 4.66469521048079e-12, + "dres": 4.832455691824493e-12, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": 0.846824438402975, + "dinfres": NaN, + "gap": 0.003168882477870512, + "relgap": 2.1478949780570259e-10, + "r0": 1e-08, + "iter": 18, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.002780166, + "tsetup": 0.000183583, + "tsolve": 0.002596583 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2983, + "solver_name": "cvxpy_osqp", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "scagr25", + "problem_type": "LP", + "environment_info": 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3.36599311e+03, 2.29606489e+02,\n 4.19785138e+03, 4.08642685e+01, 5.30471799e+00, 6.46547502e+00,\n -2.53876424e+03, -9.43143825e+01, 2.60313152e+03, 1.58681601e+02,\n 1.50000356e+01, -5.29248295e-02, 2.67258656e+03, 2.28136534e+02,\n 3.41338678e+03, 4.38642165e+01, 5.69457202e+00, 6.93435792e+00,\n -1.94590565e+03, -9.11581986e+01, 2.01052216e+03, 1.55774584e+02,\n 1.50002378e+01, -6.29526923e-01, 2.08140999e+03, 2.26662226e+02,\n 2.72145018e+03, 4.68639326e+01, 6.11244236e+00, 7.43252052e+00,\n -1.39528345e+03, -8.76549508e+01, 1.46024029e+03, 1.52611678e+02,\n 1.50004198e+01, -1.26059872e+00, 1.53281812e+03, 2.25189332e+02,\n 2.13174799e+03, 4.98725380e+01, 6.50721778e+00, 8.11280468e+00,\n -9.89129323e+02, -8.45326829e+01, 1.05432659e+03, 1.49729840e+02,\n 1.50006384e+01, -1.85556876e+00, 1.12831396e+03, 2.23717037e+02,\n 1.58462902e+03, 5.28779701e+01, 6.90136916e+00, 8.59330203e+00,\n -4.66414617e+02, -8.14158241e+01, 5.31851079e+02, 1.46852287e+02,\n 1.50009465e+01, -2.45639760e+00, 6.07244337e+02, 2.22245546e+02,\n 1.18159714e+03, 5.58821591e+01, 7.29460531e+00, 9.07134815e+00,\n -3.57531014e+02, -1.15831016e+02, 4.23205138e+02, 1.81505140e+02,\n 1.50012841e+01, -3.05686380e+00, 4.99999427e+02, 2.58299429e+02,\n 6.61998790e+02, 5.88845463e+01, 7.68645836e+00, 9.54607854e+00,\n -2.23528240e-04, -3.73896041e-01, 2.58749684e-05, 7.29988095e-05,\n 5.58558448e-04, -1.27271379e+01, 2.64624114e-02, 1.87724264e-04,\n 1.42169076e-04, -1.39351571e-02, -1.40812667e-02, -1.21508420e+01,\n 1.09903157e-05, 1.23415454e-04, -4.30280301e-03, -2.38771540e-03,\n -2.10307884e-01, -1.15200363e+01, 6.25430421e-06, 1.64177145e-04,\n -2.71605582e-03, -2.07568452e-03, -5.24868711e-03, -1.09253895e+01,\n 4.05405393e-06, 2.50356210e-04, -2.09453079e-03, -1.61807163e-03,\n -4.02307804e-03, -1.03250235e+01, 2.47268596e-06, 2.52500000e-04,\n -1.19357705e-03, -9.26523267e-04, -2.36521338e-03, -9.72506484e+00,\n -1.85621154e-06, 1.15812432e-04, 3.20178225e-04, -2.65533421e-02,\n 2.32363987e-02, -6.10267127e-03, 1.02231327e-01, 2.24990657e-01,\n 3.50700810e-01]), y=array([-8.54100873e-15, 1.57986412e+02, 1.57996523e+02, 3.79437159e-15,\n 1.57986330e+02, 1.57996505e+02, 4.82173505e-16, 2.50434883e+03,\n 1.35875594e+03, 1.43689597e+03, 0.00000000e+00, 3.77991956e-18,\n 1.59999944e+03, 0.00000000e+00, 1.57976161e+02, 1.57996499e+02,\n 3.75199991e+02, 1.47041806e+01, 2.31450713e+03, 9.86529224e+02,\n 0.00000000e+00, 1.87591988e+02, 1.87597688e+02, -6.94225404e-16,\n 1.87591940e+02, 1.87597675e+02, 2.21080939e+03, 2.56666969e+03,\n 3.74023402e+02, 8.98390188e+02, 5.86429325e+02, 0.00000000e+00,\n 8.50107339e+02, 2.96766387e-14, 1.87586214e+02, 1.87597669e+02,\n 4.20616091e+02, 1.06682317e-03, 2.38813523e+03, 1.17205971e+03,\n 8.02568173e-14, 2.10302311e+02, 2.10305519e+02, -2.29817259e-15,\n 2.10302277e+02, 2.10305505e+02, 3.17494956e+03, 2.56666960e+03,\n 3.31287407e+02, 8.27093872e+02, 1.13350492e+03, 3.54540530e-17,\n 1.49084034e-18, 0.00000000e+00, 2.10299000e+02, 2.10305499e+02,\n 4.82017442e+02, 1.12554185e+02, 2.36506403e+03, 1.19999945e+03,\n 4.98574028e-14, 2.41005937e+02, 2.41007438e+02, 1.49619900e-15,\n 2.41005919e+02, 2.41007430e+02, 3.43970677e+03, 2.56666977e+03,\n 4.03148538e-16, 8.93623423e+02, 1.85651767e+03, 7.20771603e-17,\n 0.00000000e+00, 0.00000000e+00, 2.41004403e+02, 2.41007425e+02,\n 5.47711189e+02, 2.06374715e+02, 1.88304691e+03, 1.17779749e+03,\n 0.00000000e+00, 2.73854590e+02, 2.73854784e+02, -2.29817259e-15,\n 2.73854583e+02, 2.73854779e+02, 3.53333124e+03, 2.56666966e+03,\n -4.05649460e-16, 7.99998936e+02, 2.63621985e+03, 0.00000000e+00,\n 2.38534454e-17, -4.61966885e-15, 2.73854388e+02, 2.73854774e+02,\n 6.24402226e+02, 2.35947383e+02, 1.33533633e+03, 9.37148343e+02,\n 1.63546245e-14, 3.12200744e+02, 3.12200727e+02, -3.68662340e-15,\n 3.12200740e+02, 3.12200723e+02, 3.53333146e+03, 2.56666964e+03,\n 1.92070768e-16, 7.99998640e+02, 3.54356785e+03, 0.00000000e+00,\n 8.17144934e-17, 0.00000000e+00, 3.12200763e+02, 3.12200718e+02,\n 7.10935945e+02, 1.71592498e+02, 7.10934835e+02, 5.50783679e+02,\n 1.71812219e-14, 3.55468635e+02, 3.55468635e+02, -5.98479599e-15,\n 3.55468637e+02, 3.55468638e+02, 3.53333157e+03, 2.56666963e+03,\n -3.98480152e-16, 7.99998458e+02, 4.56859953e+03, -1.07871280e-17,\n -1.40268656e-16, 3.55468650e+02, 0.00000000e+00, 3.55468638e+02,\n 8.09855925e+02, -2.99239800e-15, 0.00000000e+00, 0.00000000e+00,\n 6.23211737e+01, 0.00000000e+00, 1.78529582e+03, 8.54928652e+01,\n 2.13470776e+02, -7.48099499e-16, 7.49892660e+02, 4.54161004e+01,\n 1.79999893e+03, 1.18647710e+01, 2.79402890e+01, -6.53715947e-16,\n 1.60000044e+03, 6.14013507e+01, 1.68744581e+03, 3.49359703e+01,\n 1.82641479e-19, 0.00000000e+00, 1.60000023e+03, 6.56937466e+01,\n 1.59362528e+03, 5.16953087e+02, 2.22025143e+01, 0.00000000e+00,\n 1.60000034e+03, 7.66910372e+01, 1.56405262e+03, 1.06466367e+03,\n 2.62851656e+02, 0.00000000e+00, 1.60000034e+03, 8.65337190e+01,\n 1.62840750e+03, 1.68906516e+03, 6.49216320e+02, -1.62480690e-17,\n 1.60000034e+03, 9.89199800e+01, 1.99565192e+03, 4.72413589e+02,\n 3.58381279e+02, 9.36236928e+01, 0.00000000e+00, 0.00000000e+00,\n 1.30449637e-17]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 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4.10000000e-01 1.10000000e-01 1.42733088e-03 2.02272727e-01\n 8.14835329e-02 6.55732527e-02 1.04821768e+00 6.34799032e-03\n 5.62024617e-04 1.18512590e-03 4.67591123e-12 2.46489992e-11\n 2.60070678e-11 4.81345146e-01 7.30998451e-12 1.00000000e-02\n 7.33345647e-12 2.05643810e-10 2.16857976e+00 5.06341578e-12\n 1.40999943e-04 3.76000002e-03 9.87000036e-04 4.51200002e-03\n 8.50771308e-12 7.79142754e-11 4.22676863e-11 7.80431216e-11\n 3.05769747e-02 7.13462743e-01 3.56731371e-01 9.37693890e-01\n 4.70145687e-12 4.69721428e-12 4.68255077e-12 4.80733694e-12\n 6.44578303e-01 1.26883622e-01 1.70743966e-01 1.42387347e-01\n 7.27084326e-02 1.96918671e-01 1.93889153e-01 4.69093359e-12\n 1.43124725e-02 4.63654154e-12 1.04958132e-01 2.97114042e-12\n 4.00000000e-02 2.70000000e-01 9.05000000e-01 6.50000000e-01\n 1.10000000e-01 2.45000000e-01 5.50000000e-01 5.00000000e-01\n 4.00000000e-02 2.00000000e-01 7.00000000e-02 1.17738880e-01\n 1.10000000e-01 2.45000000e-01 5.50000000e-01 5.00000000e-01\n 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8.45651361e+01 5.92929294e+01 1.20946666e+02\n 1.23216666e+02 1.23216666e+02 7.97444226e-09 4.41194025e+02\n 4.93344025e+02 4.62274025e+02 5.66900000e+01 5.02405437e-09\n 5.90155809e+01 1.19936899e+02 1.21866899e+02 1.21866899e+02\n 6.39339711e-09 4.17153021e+02 4.61553021e+02 4.35103021e+02\n 4.82600000e+01 2.77248214e-08 4.96976571e+01 1.00949390e+02\n 1.02649390e+02 1.02649390e+02 6.16743025e-09 3.84046825e+02\n 4.23266825e+02 3.99906825e+02 8.82609628e+01 4.56309628e+01\n 7.84934018e+01 1.58637564e+02 1.60227564e+02 1.60227564e+02\n 4.12025583e-09 2.54581059e+02 2.91321059e+02 2.69441059e+02\n 2.79751808e+02 2.39821808e+02 6.65197954e+01 1.34271208e+02\n 1.35451208e+02 1.35451208e+02 3.23402922e-09 2.18516567e+02\n 2.45796567e+02 2.29546567e+02 2.36977086e+02 2.07327086e+02\n 1.84512810e+01 1.23975266e+01 3.74923814e+01 3.74923814e+01\n 2.57050446e-09 6.22791181e+01 6.90591181e+01 6.50191181e+01\n 6.72185224e+01 5.98485224e+01]", + "info": { + "exitFlag": 0, + "pcost": 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3.25125182e-12 1.21547319e-11\n 4.88314311e-12 3.08611032e-12 2.77277369e-12 2.00225323e-12\n 2.00673031e-12 1.50605011e-12 8.33284117e-12 3.86656798e-12\n 3.08133828e-12 2.35687079e-12 1.87611536e-12 3.34936927e-12\n 2.30706495e-12 9.53583750e-12 2.64736949e-12 3.95750954e-01\n 2.30726433e-12 9.53337593e-12 1.87617652e-12 3.34917823e-12\n 4.78937299e-12 5.81815418e-12 2.00668521e-12 1.50607273e-12\n 2.77235838e-12 2.00237853e-12 4.88197775e-12 3.08648678e-12\n 3.25109453e-12 1.21593499e-11 2.21759390e-12 1.29267398e-11\n 1.68051132e-12 1.11455310e-12 2.23596997e-12 1.35743896e-12\n 3.90207241e-12 1.74954270e-12 4.58071239e-12 2.62570653e-12\n 3.48806892e-12 1.08192426e-11 6.43958908e-12 3.65749029e-12\n 4.21621057e-12 1.96059868e-12 2.42853470e-12 1.30648042e-12\n 2.14583769e-12 1.01300685e-12 3.02653549e-12 2.08884105e-11\n 5.71442470e-12 2.72806981e-12 4.72313016e-12 1.63739869e-12\n 2.58155748e-12 1.30280392e-12 1.83036239e-12 1.05583978e-12\n 1.48426432e-12 1.37435210e-11 2.10067114e-12 2.35749689e-12\n 2.40542567e-12 1.66094821e-12 1.59772397e-12 1.45778533e-12\n 1.58049031e-12 1.05425167e-12 3.80130501e-02 3.48439060e-12\n 2.41126397e-02 1.79137573e-12 2.42827416e-12 1.30651577e-12\n 2.05569461e-12 2.38822606e-11 2.78512699e-12 7.58748214e-02\n 3.54830789e-12 3.32762543e-12 2.50232710e-12 2.16479694e-12\n 1.68975999e-12 1.51533528e-12 1.22613282e-12 1.34328479e-10\n 1.41021983e-12 4.83765568e-02 1.73532467e-12 3.83461518e-12\n 1.31179982e-12 2.82768614e-12 1.34167632e-12 1.69797336e-12\n 3.80130501e-02 3.48448554e-12 4.21551799e-12 1.96073157e-12\n 1.90848279e-12 3.22640095e-12 2.28061939e-12 9.51159536e-12\n 2.73935926e-12 2.96422775e-11 2.28053836e-12 9.51483689e-12\n 1.90841950e-12 3.22654644e-12 1.22866819e-12 4.76833997e-12\n 1.21444918e-12 4.20099731e-01 1.39647235e-12 7.76816338e-11\n 1.21445063e-12 4.20099731e-01 1.22866434e-12 4.76840391e-12\n 6.43885391e-12 3.65803799e-12 1.68977774e-12 1.51532813e-12\n 2.50243106e-12 2.16475382e-12 3.54861203e-12 3.32753556e-12\n 2.78513377e-12 7.58749184e-02 2.05566390e-12 2.38913293e-11\n 1.34165095e-12 1.69800101e-12 1.31177692e-12 2.82775115e-12\n 1.73531070e-12 3.83467998e-12 1.41022359e-12 4.83764598e-02\n 1.22613100e-12 1.34363862e-10 1.83029255e-12 1.05585756e-12\n 2.58150045e-12 1.30281758e-12 4.72305902e-12 1.63740829e-12\n 5.71440070e-12 2.72807798e-12 3.02653409e-12 2.08885127e-11\n 1.58040302e-12 1.05428230e-12 1.59764217e-12 1.45783135e-12\n 2.40531627e-12 1.66099752e-12 2.10064974e-12 2.35754531e-12\n 1.48425821e-12 1.37442812e-11 9.18278586e-12 3.77032949e-12\n 4.09202766e-12 2.01298062e-12 2.63144186e-12 1.39206895e-12\n 1.97237565e-12 1.05192870e-12 2.82780771e-12 4.00401048e-11\n 5.06374898e-12 2.49084352e-12 4.42222938e-12 1.72587509e-12\n 2.14553349e-12 1.43828374e-12 2.13119551e-12 1.01001592e-12\n 7.60240918e-12 4.11443258e-12 3.79569857e-12 2.10349366e-12\n 2.63154642e-12 1.39204933e-12 2.52273296e-12 8.17114583e-12\n 2.77394856e-12 7.58748214e-02 3.94981299e-12 3.80361029e-12\n 2.24748625e-12 2.50981197e-12 2.29500296e-12 1.43770674e-12\n 7.60262774e-12 4.11439227e-12 4.09236951e-12 2.01292931e-12\n 2.32734785e-12 2.60930187e-12 2.13379835e-12 1.22546951e-11\n 2.76701653e-12 1.18178790e-11 2.13390222e-12 1.22526850e-11\n 2.32751930e-12 2.60914476e-12 9.18429305e-12 3.77017608e-12\n 2.29480911e-12 1.43775678e-12 2.24731956e-12 2.50992029e-12\n 3.94949893e-12 3.80382613e-12 2.77395537e-12 7.58749184e-02\n 2.52284662e-12 8.17047861e-12 2.13109492e-12 1.01003060e-12\n 2.14547508e-12 1.43830060e-12 4.42210514e-12 1.72589463e-12\n 5.06373620e-12 2.49084154e-12 2.82778606e-12 4.00479409e-11\n 1.69714898e-11 2.27147574e-12 8.90535210e-12 1.74690515e-12\n 2.03548397e-11 1.36298476e-12 4.07554309e-12 9.23975225e-13\n 2.74411764e-12 1.11168459e-10 1.08694376e-11 2.35090700e-12\n 1.01135431e-11 1.52592483e-12 3.08219078e-12 1.27292102e-12\n 1.88235603e-12 1.09161534e-12 1.40811962e-12 4.51890918e-11\n 2.82647967e-12 2.07799165e-12 3.30905557e-12 1.41072834e-12\n 2.31242437e-12 1.19322226e-12 1.59005968e-12 1.06785239e-12\n 9.33239025e-13 3.76161457e-11 1.56559598e-12 1.88896775e-12\n 1.87374682e-12 1.29074328e-12 1.79725555e-12 1.07225511e-12\n 1.28076596e-12 1.03818425e-12 1.30743506e-02 4.57556336e-12\n 8.13329397e-03 2.35219099e-12 2.03587204e-11 1.36297264e-12\n 2.09345937e-12 2.17139991e-11 2.97853554e-12 2.26198678e-11\n 5.60696973e-12 3.77379483e-12 2.29393118e-12 2.57543668e-12\n 1.49041796e-12 1.84985658e-12 1.25186938e-12 1.12556463e-10\n 1.76309459e-12 5.50119256e-12 1.96312694e-12 2.98658206e-12\n 1.53269572e-12 2.26882789e-12 1.13458479e-12 1.89212848e-12\n 8.77208638e-13 5.27046275e-01 1.23252275e-12 3.49875428e-12\n 1.33030256e-12 2.42683793e-12 1.23700023e-12 1.90936182e-12\n 9.23497243e-13 1.90038508e-12 1.30743506e-02 4.57556798e-12\n 8.90694657e-12 1.74688071e-12 1.72433445e-12 3.79252331e-12\n 2.29245801e-12 1.15791469e-11 2.94162534e-12 3.51701434e-11\n 2.29245783e-12 1.15793970e-11 1.72433269e-12 3.79252393e-12\n 1.19000637e-12 4.66348533e-12 1.50714571e-12 6.67100164e-12\n 1.69146130e-12 7.94647937e-12 1.50716222e-12 6.67064460e-12\n 1.19002546e-12 4.66321594e-12 8.75254896e-13 6.10598181e-12\n 1.14168611e-12 3.95597800e-12 1.19895752e-12 4.65491982e-12\n 1.14170114e-12 3.95572322e-12 8.75268245e-13 6.10539936e-12\n 1.69748342e-11 2.27139910e-12 1.49040987e-12 1.84986565e-12\n 2.29393462e-12 2.57544495e-12 5.60691881e-12 3.77383261e-12\n 2.97852268e-12 2.26204753e-11 2.09343400e-12 2.17208451e-11\n 1.13454367e-12 1.89218967e-12 1.53263633e-12 2.26889489e-12\n 1.96308540e-12 2.98664892e-12 1.76307477e-12 5.50136931e-12\n 1.25186836e-12 1.12568535e-10 9.23463338e-13 1.90046751e-12\n 1.23694803e-12 1.90944788e-12 1.33026688e-12 2.42694275e-12\n 1.23251222e-12 3.49884048e-12 8.77209090e-13 5.27046275e-01\n 1.88241114e-12 1.09160842e-12 3.08237837e-12 1.27290465e-12\n 1.01157104e-11 1.52590222e-12 1.08717007e-11 2.35082327e-12\n 2.74410612e-12 1.11193806e-10 1.59003145e-12 1.06786455e-12\n 2.31240230e-12 1.19323049e-12 3.30911424e-12 1.41072422e-12\n 2.82648122e-12 2.07799380e-12 1.40811255e-12 4.51995536e-11\n 1.28072811e-12 1.03820598e-12 1.79718717e-12 1.07227960e-12\n 1.87369854e-12 1.29077048e-12 1.56557875e-12 1.88899768e-12\n 9.33235779e-13 3.76243898e-11 7.87276391e-12 4.23549337e-12\n 3.37722280e-12 2.31650200e-12 2.17273947e-12 1.61064563e-12\n 1.59919884e-12 1.22607461e-12 2.79884689e-12 7.69738320e-11\n 6.93214387e-12 2.60155185e-12 4.39834898e-12 1.74058456e-12\n 2.47908938e-12 1.38362117e-12 1.71483339e-12 1.11873737e-12\n 1.37987730e-12 5.73112489e-11 2.63722576e-12 2.19899372e-12\n 2.83410892e-12 1.48668727e-12 2.31078698e-12 1.16110987e-12\n 1.56106992e-12 1.03734974e-12 6.23709466e-12 4.76604159e-12\n 3.13941738e-12 2.42804266e-12 2.17277886e-12 1.61063086e-12\n 2.33130761e-12 8.41465879e-12 4.18713795e-12 7.11247064e-12\n 4.61246011e-12 3.23344203e-12 2.77919058e-12 2.17343011e-12\n 1.94539234e-12 1.58091990e-12 1.27577076e-12 1.43266633e-11\n 2.02736239e-12 4.06371244e-12 2.28083127e-12 2.55874736e-12\n 2.08844627e-12 1.81459183e-12 1.46241632e-12 1.58334004e-12\n 6.23694610e-12 4.76609866e-12 3.37727021e-12 2.31648448e-12\n 2.07810233e-12 2.85437703e-12 2.90766666e-12 5.31052411e-12\n 3.76210973e-12 1.09767898e-11 2.90778032e-12 5.31016948e-12\n 2.07820438e-12 2.85423140e-12 1.31325851e-12 3.56079602e-12\n 1.80755212e-12 3.83006831e-12 1.91893391e-12 5.61775884e-12\n 1.80760841e-12 3.82975114e-12 1.31330421e-12 3.56049609e-12\n 7.87337163e-12 4.23539903e-12 1.94526401e-12 1.58097890e-12\n 2.77899680e-12 2.17351909e-12 4.61219449e-12 3.23356069e-12\n 4.18705467e-12 7.11268938e-12 2.33138655e-12 8.41396493e-12\n 1.46232665e-12 1.58342366e-12 2.08828288e-12 1.81470463e-12\n 2.28070875e-12 2.55891542e-12 2.02734099e-12 4.06380013e-12\n 1.27578770e-12 1.43251714e-11 1.71475233e-12 1.11875801e-12\n 2.47898172e-12 1.38364191e-12 4.39828153e-12 1.74059292e-12\n 6.93177925e-12 2.60160071e-12 2.79882973e-12 7.69919271e-11\n 1.56097501e-12 1.03737820e-12 2.31059411e-12 1.16114694e-12\n 2.83390480e-12 1.48673979e-12 2.63713316e-12 2.19906446e-12\n 1.37987270e-12 5.73235851e-11 1.88486058e-11 3.20989463e-12\n 6.47910297e-12 1.85487910e-12 3.78413725e-12 1.31944009e-12\n 2.84800626e-12 9.80158153e-13 2.68051422e-12 2.46798303e-10\n 1.66765990e-11 2.16782019e-12 1.59482343e-11 1.39835847e-12\n 7.95144189e-12 1.05232709e-12 3.32736586e-12 8.66223639e-13\n 9.89192636e-12 4.11245677e-12 4.89508692e-12 2.08972204e-12\n 3.78427013e-12 1.31942841e-12 2.28791595e-12 1.01531746e-11\n 3.78047048e-12 9.22634763e-12 4.62266102e-12 3.21056638e-12\n 4.06516999e-12 1.76673071e-12 2.66975755e-12 1.29329910e-12\n 9.89306222e-12 4.11232646e-12 6.48011448e-12 1.85482913e-12\n 2.53217070e-12 2.27134424e-12 3.67130993e-12 3.87567406e-12\n 3.71023428e-12 1.19088218e-11 3.67162621e-12 3.87532863e-12\n 2.53236474e-12 2.27121985e-12 1.88542525e-11 3.20982672e-12\n 2.66956853e-12 1.29332947e-12 4.06474954e-12 1.76679084e-12\n 4.62229290e-12 3.21073424e-12 3.78046238e-12 9.22639580e-12\n 2.28798013e-12 1.01520684e-11 3.32710959e-12 8.66232047e-13\n 7.95030069e-12 1.05234058e-12 1.59445678e-11 1.39837966e-12\n 1.66743978e-11 2.16785547e-12 2.68051198e-12 2.46833242e-10\n 8.28987752e-02 2.74299897e-12 3.36160695e-02 1.42749551e-12\n 2.44685711e-02 9.75807378e-13 2.56832525e-02 7.33396312e-13\n 3.53781702e-02 2.89881445e-12 2.30520334e-02 1.47461810e-12\n 2.44685717e-02 9.75807662e-13 3.53781798e-02 2.89881089e-12\n 3.36160599e-02 1.42749517e-12 8.28987842e-02 2.74300046e-12]", + "s": "[1.09672898e+00 9.03271025e-01 2.44903165e+00 1.55096835e+00\n 3.80135609e+00 2.19864391e+00 4.89809306e+00 3.10190694e+00\n 1.09425935e+00 9.05740646e-01 1.19214017e+00 1.63628695e+00\n 1.55329232e+00 2.91884364e+00 2.78920088e+00 3.53535444e+00\n 4.29823163e+00 3.94797963e+00 2.64208551e+00 1.35791449e+00\n 2.50413135e+00 1.96800461e+00 2.13844630e+00 3.51840794e+00\n 2.91147467e+00 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} + }, + "problem_class": "LP" + } + }, + { + "id": 3046, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "scsd1", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:17:12", + "solve_time": 0.007135868072509766, + "status": "OPTIMAL", + "primal_objective_value": 8.666648751760219, + "dual_objective_value": 8.666717597485187, + "duality_gap": -6.884572496801411e-05, + "primal_infeasibility": 1.1481668981557776e-05, + "dual_infeasibility": 1.4237310216974228e-08, + "iterations": 500, + "memo": { + "solver_solve_time": 0.004653374, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 8.666717597485187, + "solver_stats": { + "solve_time": 0.004653374, + "num_iters": 500, + "solver_name": "OSQP", + "extra_stats": "namespace(x=array([ 2.32256996, -5.72067331, 2.26012146, -6.19886142, 1.99999701,\n -8.6667176 , 1.73986287, -6.19886051, 1.67741386, -5.72067126,\n 1.86318371, -5.6902621 , 1.85140275, -6.61190338, 1.99999236,\n -7.6667082 , 2.14858244, -6.61190465, 2.13680114, -5.69026127,\n 1.52320026, -4.82486402, 0.99999963, -5.66672974, 1.99999451,\n -6.66670593, 2.99998944, -5.66673223, 2.47678586, -4.82486498,\n 1.19067861, -3.86173379, 1.95790807, -4.66672923, 1.99999313,\n -5.87465894, 2.04208379, -4.66673173, 2.80930854, -3.86174265,\n 0.39808209, -2.90618678, 1.00001542, -3.66671892, 1.99999183,\n -4.89439915, 2.99996827, -3.66672146, 3.60190382, -2.90619108,\n 1.29466041, -1.97152173, 1.98457675, -2.88993389, 1.9999922 ,\n -4.09322086, 2.01540817, -2.8899334 , 2.70532487, -1.97152412,\n 0.55159132, -0.97789655, 1.51354305, -2.68677745, 1.99999255,\n -3.20334555, 2.48644126, -2.68677741, 3.44839518, -0.97789752,\n 0.99999582, -2.08139862, 1.99999564, -2.53889862, 2.99999545,\n -2.08140148, 3.99999127]), y=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 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0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.31346312e-01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 4.55364912e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 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0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 2.19970808e-02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 5.46437895e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.19972149e-02,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.03576608e-18,\n -2.60208521e-18, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.62630326e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 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0.00000000e+00, 1.98235729e-02, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -3.37210404e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -6.13109825e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n -8.67361738e-19, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -1.73472348e-18, 0.00000000e+00, 6.13109825e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -2.42408563e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.27035351e-01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -3.25260652e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -9.29703363e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -1.90819582e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -4.33680869e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.03541307e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -1.68051337e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -5.20417043e-18, -8.67361738e-19, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -5.42101086e-18,\n -4.90487860e-18, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -4.01154804e-18, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 1.10359769e-17, 0.00000000e+00, 0.00000000e+00, 2.16840434e-18,\n 5.24528123e-02, 0.00000000e+00, 2.69830249e-02, 0.00000000e+00,\n 3.32693951e-02, 0.00000000e+00, 5.39662368e-02, 0.00000000e+00,\n 6.39470755e-03, 0.00000000e+00, 1.27892276e-02, 0.00000000e+00,\n 3.32690819e-02, 0.00000000e+00, 6.39452006e-03, 0.00000000e+00,\n 2.69832120e-02, 0.00000000e+00, 5.24529373e-02, 0.00000000e+00]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 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4.46454028e+00, 1.69647971e+01, -6.70355244e+01,\n 7.74575399e+01, -3.49732465e+00, 2.82197188e+01, 1.17820205e+02,\n 7.61300800e+01, 2.59401579e+01, -3.93035458e+01, 1.98331845e+01,\n -4.34741512e+01, 1.18458634e+01, -3.32532979e+01, 4.03043517e+02,\n 9.71228707e+01, 2.29648759e+01, 3.83008123e+02, 9.60127913e+01,\n 3.60043517e+02, 7.60128752e+01, 4.29023099e+02, -1.09865124e+01,\n 1.60165860e+01, 1.32130305e+02, 3.18043517e+02, 7.60128977e+01,\n 1.77072862e+02, 3.12986290e+02, 6.24124828e+02, 1.31043635e+02,\n -8.29871632e+01, -1.16987179e+02, -2.79865097e+01, 1.40166191e+01,\n 7.60128977e+01, -3.09839310e+01, 5.19023092e+02, -1.40987013e+02,\n -5.29872087e+01, 4.00165549e+01, 8.79648759e+01, -8.98720870e+00,\n -9.79870133e+01, -9.39865239e+01, 2.80052948e+01, 1.99648759e+01,\n 3.87008123e+02, 5.99648759e+01, -1.07987013e+02, 3.79023154e+02,\n 3.80184356e+01, -1.79865605e+01, 6.79648759e+01, 1.69022916e+02,\n -9.87641461e+00, 5.90184356e+01, 6.61299797e+01, 3.62008654e+02,\n 2.98986290e+02, 1.94846936e+01, 4.04845073e+01, 1.18455993e+01,\n 4.69023099e+02, -1.99672748e+01, -2.04534475e+00, -5.10423324e+01,\n 2.16959703e+02, 2.31952821e+02, 2.72952182e+02, 2.72951520e+02,\n 2.88949998e+02, 2.46947320e+02, 2.60948225e+02, 2.84949118e+02,\n 3.00950093e+02, 3.09950162e+02, 3.37950204e+02, 2.78453434e+02,\n 2.88153481e+02, 3.48269618e+02, 3.86400646e+02, 3.83671746e+02,\n 2.29956785e+02, 2.39957341e+02, 2.49957883e+02, 2.57958380e+02,\n 2.68958864e+02, 3.06527180e+02, 3.09003545e+02, 2.20832996e+02,\n 2.64900827e+02, 2.35823029e+02, 1.24822523e+02, 3.10228153e+02,\n 1.24823181e+02, 1.50951908e+02, 2.57009849e+02, 2.57009701e+02,\n 3.25903206e+02, 3.86884734e+02, 3.87560043e+02, 3.51404295e+02,\n 2.47266616e+02, 2.86885946e+02, 1.22762716e+02, 1.34954083e+02,\n 1.60953485e+02, 4.60953537e+02, 6.00953576e+02, 4.56388589e+02,\n 1.68260397e+02, 1.77708420e+02, 2.37252377e+02, 3.36713454e+02,\n 3.82223124e+02, -5.39077931e+01, 2.65730342e+00, -3.60413663e+01,\n 9.18200786e+01, 7.29590837e+01, 9.19595199e+01, 1.31959942e+02,\n 1.31960349e+02, 1.83960601e+02, 1.71960490e+02, 1.90960615e+02,\n 1.93960726e+02, 1.97960823e+02, 2.04960904e+02, 1.75117943e+02,\n 2.10950593e+02, 1.21950507e+02, 2.24950669e+02, 2.53699879e+02,\n 2.19600161e+02, 4.49502788e+01, 1.73776481e+02, 1.14949781e+02,\n 2.19510332e+01, 3.19516326e+01, 2.62951935e+02, 1.94989547e+01,\n 7.19504619e+01, 1.65020853e+01, -3.49461866e+00, 1.94960098e+01,\n 3.98906164e+01, 1.11618410e+01, -6.15542527e+00, -8.30309495e+00,\n 2.69503657e+01, -6.70503603e+01, 1.14949742e+02, -3.49131331e+00,\n -5.00078409e+01, 1.95005354e+02, 2.71644017e+02, 1.17643761e+02,\n 3.00391370e+01, 2.98480393e+01, 2.25369771e+01, 9.56789013e+00,\n -4.45936234e-01, 6.80953584e+02, 2.53822960e+02, 2.44950690e+02,\n 2.66832727e+02, 1.34954098e+02, 2.98480610e+01, 1.93960617e+02,\n 1.46957846e+02, 3.79950212e+02, 2.19960820e+02, 1.01953978e+02,\n 1.24949798e+02, 8.59576948e+01, 4.09502708e+01, 2.17960920e+02,\n 2.97958880e+02, 2.85951949e+02, 2.94987808e+01, 2.16959731e+02,\n -3.36831880e+02, -3.32737378e+02, -6.11753854e+02, -5.74277398e+02,\n -5.34449725e+02, -5.54872345e+02, -5.39786139e+02, -5.81772343e+02,\n -5.67777237e+02, -5.43781837e+02, -5.27787474e+02, -5.18788431e+02,\n -4.90789060e+02, -4.48789661e+02, -5.29789048e+02, -5.19791902e+02,\n -4.58792824e+02, -4.19793142e+02, -4.63157152e+02, -5.98763945e+02,\n -5.88770263e+02, -5.78776295e+02, -5.70782021e+02, -5.59787453e+02,\n -5.20788428e+02, -5.16788130e+02, -2.48700491e+02, -4.78352668e+02,\n -4.60788440e+02, -4.77789909e+02, -4.10791989e+02, -4.85789106e+02,\n -3.75846842e+02, -1.77935745e+01, 5.23043850e+01, -4.06756046e+02,\n -4.06755890e+02, -3.44756146e+02, -4.84692720e+02, -5.40014324e+02,\n -3.93493307e+02, -4.25143347e+02, -4.11754480e+02, -4.10934216e+02,\n -4.06755276e+02, -2.11832205e+02, -1.99835889e+02, -1.73839864e+02,\n 1.26156588e+02, 2.36155927e+02, 2.66155849e+02, 3.66155645e+02,\n -1.06756537e+02, 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9.99820948e-05,\n -5.23464441e+02, 5.85224061e-05, 1.41143755e-05, 3.70459013e-05,\n -1.99483578e+02, -4.77714450e+02, -4.94488450e+02, -5.05716561e+02,\n -4.03070311e+02, -3.71034400e+02, -5.06056704e+02, -5.54227544e+02,\n -4.68213513e+02, -5.36558071e+02, -5.15848474e+02, -5.53869210e+02,\n -5.05292407e+02, -5.42372659e+02, -5.18054563e+02, -4.35099407e+01,\n -5.58226491e+02, -3.70795093e+02, -5.30676401e+02, -4.83366514e+02,\n -5.31795356e+02, -5.05292407e+02, -5.36163031e+02, -2.00363857e+02,\n -5.00791739e+02, -5.01721848e+02, -5.23156897e+02, -4.84397788e+02,\n -5.01116377e+02, -5.00792624e+02, -5.04074417e+02, -5.33483520e+02,\n -5.15308040e+02, -5.08423339e+02, -4.98162172e+02, -5.00755731e+02,\n -3.12871053e+02, -5.53567578e+02, -4.89442043e+02, -4.82892448e+02,\n -5.55962317e+02, -5.17954861e+02, -5.53567577e+02, -3.27738490e+02,\n -3.87642024e+02, -5.18054939e+02, -5.19301296e+02, -5.22717530e+02,\n -4.60604876e+02, -5.64329809e+02, -5.31703218e+02, 1.34122533e-04,\n 1.00351291e-04, -4.65918872e+02, -4.43957363e+02, -4.83039650e-04,\n -6.37685524e-06, 7.60903886e-04, -4.44823332e+02, -4.51307894e+02,\n -7.38248928e-05, -4.53098681e+02, 7.36659508e-05, 1.34521892e-04,\n -8.29747359e-07, -4.30735178e+02, 7.76513236e-05, -3.99012332e-06,\n -4.01619094e+02, 4.68335558e-05, -2.42510125e+02, -4.78448396e+02,\n -3.60724274e+02, -4.88510678e+02, -4.94473283e+02, -4.92858711e+02,\n -4.72943371e+02, -4.87409053e+02, -4.77870302e+02, 2.41508444e-05,\n -4.73901510e-06, 4.23269630e-05, -4.87308874e+02, -5.11302394e-05,\n 8.36366416e-07, -8.14121183e-06, 2.81110164e-05, 9.66795340e-06,\n 6.27481174e-05, 1.70540031e-05, 1.06128960e-05, -2.47185714e+02,\n -4.17238796e+02, -4.91267604e+02, -4.77958790e+02, -1.72565371e+01,\n -4.03181410e+02, -3.60908774e+02, -1.39583254e+02, -4.46363496e+02,\n -2.59912841e+02, -4.47396859e+02, -1.15291534e+02, -4.41439297e+02,\n -3.85290072e+02, -4.05678710e+02, -3.03026652e+02, -2.67632822e+01,\n -4.83034565e+02, -3.03109124e+02, -3.50516770e-04, -2.90465315e-04,\n -2.93223360e+00, -2.48998238e+00, -4.78938934e+01, -3.04037956e-05,\n 2.89066455e-04, -2.94723368e-05, -2.82665084e+00, -2.88018853e+00,\n -2.97157995e+00, -3.02119784e+00, -3.02297149e+00, -3.03478558e+00,\n -3.08157950e+00, -3.10015022e+00, -3.10686001e+00, -2.73535314e+00,\n -2.76445830e+00, -2.79732412e+00, -2.82614865e+00, 3.52197531e-04,\n -2.85911612e+00, -2.85720064e+00, -2.86841138e+00, -4.92562414e-05,\n -4.97276653e-05, -3.47010733e-05, -2.88576701e+00, -2.88110551e+00,\n -2.90486330e+00, -4.81207336e-05, -2.91641225e+00, -7.40526729e-05,\n -2.72552014e+00, -2.72439931e+00, -2.73548011e+00, -1.81601819e-05,\n -2.93530125e+00, -3.03429334e+00, -3.05396844e+00, -3.04877618e+00,\n -3.05084019e+00, -2.73476520e+00, -3.06167708e+00, -3.06825724e+00,\n -2.95326826e+00, -2.70264508e+00, -2.99311189e+00, -3.18583296e+00,\n -3.24689198e+00, -3.32229849e+00, -3.33716418e+00, -3.36372283e+00,\n -3.38042021e+00, -3.38866730e+00, -3.38904408e+00, -3.36747069e+00,\n -2.70667324e+00, -2.57153271e+00, -2.40495117e+00, -2.40162727e+00,\n -2.93209884e+00, -2.94120474e+00, -2.40972014e+00, -8.91684173e+00,\n -2.22440679e+00, -2.50212727e+00, -2.51638503e+00, -7.64838777e-06,\n -1.78434226e-04, -3.07016184e-04, -2.50346153e+00, -2.91903671e-05,\n -2.05196150e-05, -1.25315935e-04, -5.69911599e-05, -3.37746736e-05,\n -2.86907243e+00, -1.05158058e-04, -1.40044648e-04, -9.96913147e-05,\n -3.09273340e+00, -2.70451348e+00, -2.50499711e+00, -2.51836392e+00,\n -2.88182167e+00, -3.09273340e+00, -3.06896573e+00, -2.50474943e+00,\n -2.88821467e+00, -3.09273340e+00, -2.70051765e+00, -3.03512073e+00,\n -2.94359980e+00, -2.74217638e+00, -3.10880765e+00, -2.70190378e+00,\n -2.50536680e+00, -3.33022345e+00, -2.70051765e+00, -3.25105526e+00,\n -3.07231384e+00, -2.49425802e+00, -2.70208826e+00, -2.71039456e+00,\n -2.42524144e+00, -2.70208826e+00, -2.49425802e+00, -2.50329720e+00,\n -2.50499711e+00, -2.51836392e+00, -2.50474943e+00, -2.49425802e+00,\n -3.06440200e+00, -3.39563068e+00, -2.50717576e+00, -2.50474943e+00,\n -2.96913328e+00, -2.70893159e+00, -3.39563068e+00, -2.86199819e+00,\n -3.08978011e+00, -2.94359980e+00, -2.22527154e+00, -2.22473165e+00,\n -2.53212579e+00, -3.06896573e+00, -2.69896996e+00]), y=array([ 2.84306391e+05, 8.16689999e+04, 1.13937440e+03, ...,\n 0.00000000e+00, 0.00000000e+00, -1.65436123e-18], shape=(2144,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2144,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 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"id": 3128, + "solver_name": "cvxpy_cvxopt", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "shell", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:18:24", + "solve_time": 0.13980698585510254, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 3129, + "solver_name": "cvxpy_sdpa", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "shell", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:18:24", + "solve_time": 0.10171222686767578, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "Solver 'SDPA' failed. 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4.75824311e+03\n 4.69433794e+03 4.75457087e+03 4.87050360e+03 4.79958272e+03\n 0.00000000e+00 0.00000000e+00 4.94406360e+03 4.80166013e+03\n 5.27890759e+03 5.22005959e+03 5.13899760e+03 5.39292559e+03\n 5.17347159e+03 0.00000000e+00 5.15738760e+03 5.56824359e+03\n 5.09608760e+03 5.15998559e+03 5.58172959e+03 5.39415159e+03\n 5.15125760e+03 5.44441759e+03 5.23231959e+03 4.99765532e+03\n 0.00000000e+00 5.30587959e+03 4.78379433e+03 4.99065160e+03\n 0.00000000e+00 0.00000000e+00 2.81365926e+03 3.06656326e+03\n 2.88928394e+03 2.68345126e+03 2.86186126e+03 2.82054526e+03\n 2.81303326e+03 2.83807326e+03 2.84182926e+03 2.90818526e+03\n 2.77046526e+03 2.80865126e+03 0.00000000e+00 2.80802526e+03\n 2.98142726e+03 2.86311326e+03 2.79528726e+03 2.77985526e+03\n 2.78298526e+03 2.75418926e+03 2.88377126e+03 2.82367526e+03\n 2.78799326e+03 0.00000000e+00 3.39186526e+03 2.56325877e+03\n 2.89316126e+03 2.98371326e+03 2.80802526e+03 2.75964388e+03\n 2.94114526e+03 2.78173326e+03 3.37496326e+03 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4.98157159e+03\n 0.00000000e+00 4.98034559e+03 5.31994759e+03 5.08823359e+03\n 4.95780759e+03 4.92517559e+03 4.93130559e+03 4.87490959e+03\n 5.12869159e+03 5.01099559e+03 4.94111359e+03 0.00000000e+00\n 6.12618559e+03 5.06739159e+03 5.14708159e+03 5.32683359e+03\n 4.98034559e+03 5.10907559e+03 5.24346559e+03 4.92885359e+03\n 6.09308359e+03 4.99505759e+03 4.88594359e+03 5.38200359e+03\n 5.10907559e+03 5.11397959e+03 5.04164559e+03 5.30966959e+03\n 5.13359559e+03 4.97544159e+03 5.09926759e+03 5.35625759e+03\n 5.09436359e+03 5.28439359e+03 5.24223959e+03 5.01835159e+03\n 5.38813359e+03 5.40284559e+03 5.35257959e+03 5.13114359e+03\n 5.42736559e+03 5.33418959e+03 5.09681559e+03 5.36851759e+03\n 5.40774959e+03 5.15688959e+03 5.35993559e+03 5.11888359e+03\n 0.00000000e+00 0.00000000e+00 5.38813359e+03 5.07218000e+03\n 5.97906559e+03 5.92021759e+03 5.29665359e+03 6.09308359e+03\n 5.87362959e+03 0.00000000e+00 5.37511759e+03 6.26840159e+03\n 5.29665359e+03 5.86014359e+03 6.28188759e+03 6.09430959e+03\n 5.22799759e+03 5.57618159e+03 5.93247759e+03 5.19489559e+03\n 0.00000000e+00 5.60192759e+03 4.80870559e+03 5.18999159e+03\n 0.00000000e+00 0.00000000e+00 -4.70722527e+03 2.47356990e-09\n -3.42581558e+03 -2.07468970e-08 -5.67061800e-08 2.71087708e-09\n 2.26792744e-09 1.07912242e-09 -4.36649456e+01 -3.98031130e+01\n -6.10137048e+01 -3.30597692e-08 -8.07729451e+01 -1.16000000e+02\n -9.19672440e+01 -1.04066064e+02 -1.25639426e-06 -6.36519452e-07\n -5.92489700e+01 -6.70549433e+01 -4.82106872e+01 -1.16000000e+02\n -7.42285183e+01 -7.78547191e+01 -5.79999999e+01 -5.80000000e+01\n -4.55489380e+01 -4.59662012e-07 -5.79999997e+01 -5.79999996e+01\n -4.13173567e+01 -5.79999996e+01 -1.16000000e+02 -1.16000000e+02\n -6.22427067e+01 -1.63142184e-07 -1.16000000e+02 -1.16000000e+02\n -7.03240107e+01 -1.16000000e+02 3.94511490e-09 7.65080603e+01\n 1.30832225e-08 5.67097155e-08 2.07499480e-08 3.28702019e+02\n 4.93387495e+02 5.00753805e+01]", + "y": "[]", + "z": "[1.90917627e+02 2.51039738e+01 3.12443912e+01 ... 1.66863330e-10\n 1.09814253e-10 1.02566339e-09]", + "s": "[2.87601331e-10 2.18504179e-09 1.74971390e-09 ... 3.28702019e+02\n 4.93387495e+02 5.00753805e+01]", + "info": { + "exitFlag": 0, + "pcost": -1798714.7004340766, + "dcost": -1798714.7005293353, + "pres": 9.284391024970619e-13, + "dres": 1.2433158624255083e-10, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": NaN, + "dinfres": 0.21799031499542101, + "gap": 0.0003392945556986874, + "relgap": 1.886316688337549e-10, + "r0": 1e-08, + "iter": 17, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.005790541, + "tsetup": 0.00064575, + "tsolve": 0.005144791 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 3145, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "ship04s", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:18:35", + "solve_time": 0.05062985420227051, + "status": "OPTIMAL", + "primal_objective_value": 1798718.6910063173, + "dual_objective_value": 1798715.0287694705, + "duality_gap": 3.662236846750602, + "primal_infeasibility": 1.0765503379693236e-05, + "dual_infeasibility": 1.1307935723556766e-10, + "iterations": 2550, + "memo": { + "solver_solve_time": 0.046095873999999995, + "original_status": { + "cvxpy_status": "optimal", + 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2.89568117e+03, 2.87066141e+03,\n 2.89568117e+03, 2.88601620e+03, 2.89568117e+03, 2.87066141e+03,\n 2.86848794e+03, 2.89568117e+03, 3.02602209e+03, 2.89916194e+03,\n 3.00160557e+03, 2.87525197e+03, 0.00000000e+00, 0.00000000e+00,\n 2.89568117e+03, 2.87641943e+03, 3.31774114e+03, 3.28769314e+03,\n 2.97052595e+03, 3.37595914e+03, 3.26390514e+03, 0.00000000e+00,\n 3.01058998e+03, 3.46547714e+03, 2.97052594e+03, 3.25701914e+03,\n 3.12239523e+03, 3.37658514e+03, 2.93546995e+03, 3.11325395e+03,\n 3.29395314e+03, 2.68267325e+03, 0.00000000e+00, 3.12639995e+03,\n 2.72137704e+03, 2.91606394e+03, 0.00000000e+00, 0.00000000e+00,\n 4.99184169e+03, 5.48715414e+03, 5.11294908e+03, 4.73684022e+03,\n 5.08625868e+03, 5.00533421e+03, 4.99062221e+03, 5.03966222e+03,\n 5.04701819e+03, 5.17697422e+03, 4.90725422e+03, 4.98204022e+03,\n 0.00000000e+00, 4.98081422e+03, 5.32041622e+03, 5.08870222e+03,\n 4.95827736e+03, 4.92564422e+03, 4.93177422e+03, 4.87537830e+03,\n 5.12916020e+03, 5.01146422e+03, 4.94158220e+03, 0.00000000e+00,\n 6.12665793e+03, 5.06786030e+03, 5.14755022e+03, 5.32731889e+03,\n 4.98081422e+03, 5.10954420e+03, 5.24392143e+03, 4.92932230e+03,\n 6.09355593e+03, 4.99552630e+03, 4.88641230e+03, 5.38247046e+03,\n 5.10954422e+03, 5.11444821e+03, 5.04211422e+03, 5.31012536e+03,\n 5.13406422e+03, 4.97591022e+03, 5.09973621e+03, 5.35672446e+03,\n 5.09483221e+03, 5.28486222e+03, 5.24269543e+03, 5.01882022e+03,\n 5.38861889e+03, 5.40330143e+03, 5.35306489e+03, 5.13161130e+03,\n 5.42785089e+03, 5.33464543e+03, 5.09728421e+03, 5.36900289e+03,\n 5.40823489e+03, 5.15735821e+03, 5.36039120e+03, 5.11935221e+03,\n 0.00000000e+00, 0.00000000e+00, 5.38861889e+03, 5.13852971e+03,\n 5.97953793e+03, 5.92068993e+03, 5.29712220e+03, 6.09355593e+03,\n 5.87410193e+03, 0.00000000e+00, 5.37558626e+03, 6.26887393e+03,\n 5.29712222e+03, 5.86061593e+03, 6.28235993e+03, 6.09478193e+03,\n 5.22846620e+03, 5.57665020e+03, 5.93294993e+03, 5.19536430e+03,\n 0.00000000e+00, 5.60239620e+03, 4.80917475e+03, 5.19046022e+03,\n 0.00000000e+00, 0.00000000e+00, -4.74097442e+03, 1.33761840e-06,\n -3.42839051e+03, 8.89191201e-04, -6.03696774e-04, -4.32859111e-06,\n 3.34168836e-07, 3.16574430e-06, -3.16805436e+01, -5.20868070e+01,\n -6.34930013e+01, 2.44816407e-04, -1.11564459e+02, -1.16000286e+02,\n -1.09680632e+02, -1.14577167e+02, 7.37294592e-05, -3.78958873e-04,\n -3.43908604e+01, -7.41541796e+01, -2.67299973e+01, -1.16000662e+02,\n -1.87015802e+01, -6.94848098e+01, -5.79988603e+01, -5.80015449e+01,\n -3.86244904e+00, 1.18355997e-06, -5.80000677e+01, -5.80002426e+01,\n -3.51481917e+00, -5.79991604e+01, -1.15993749e+02, -1.16001788e+02,\n -1.18909605e+01, -7.55144219e-05, -1.16007974e+02, -1.15999154e+02,\n -1.27533700e+01, -1.16000502e+02, 2.46860075e-04, 3.27005900e-02,\n -3.86343515e-05, 8.89191201e-04, -6.03696774e-04, 8.53908789e+01,\n 1.31953512e+02, 4.39058489e+01]), y=array([ 1.90904227e+02, 2.51033893e+01, 3.11062594e+01, ...,\n -7.50374823e-17, 0.00000000e+00, 0.00000000e+00], shape=(1506,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1506,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-1798715.0287694708, prim_res=0.04713031948045909, dual_res=0.0007344691365049604, iter=2550, rho_updates=2, rho_estimate=0.0001727195420492436, setup_time=0.000844291, solve_time=0.0450965, update_time=0.0, polish_time=0.000155083, run_time=0.046095873999999995))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3146, + "solver_name": "cvxpy_cvxopt", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "ship04s", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:18:36", + "solve_time": 0.07553791999816895, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 3147, + "solver_name": "cvxpy_sdpa", + "solver_version": "cvxpy-1.6.5-SDPA-0.2.2", + "problem_library": "NETLIB", + "problem_name": "ship04s", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:18:37", + "solve_time": 0.06454682350158691, + "status": "UNBOUNDED", + 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4.94368052e+03\n 5.11422124e+03 4.79435053e+03 0.00000000e+00 0.00000000e+00\n 6.49088341e+03 6.48992325e+03 6.48193428e+03 6.44739455e+03\n 6.47521583e+03 6.52938218e+03 6.40076092e+03 6.43868985e+03\n 6.51204363e+03 6.58541561e+03 6.46057646e+03 6.44083138e+03\n 0.00000000e+00 6.49278450e+03 6.60380802e+03 6.52047542e+03\n 6.39270444e+03 6.50618779e+03 6.51473610e+03 6.49010971e+03\n 6.79194933e+03 6.54920694e+03 6.50116976e+03 8.64510250e+03\n 6.82445595e+03 6.57863613e+03 6.63943013e+03 6.52410912e+03\n 6.55855544e+03 6.82503790e+03 6.46056196e+03 6.58223814e+03\n 6.92813288e+03 6.69908470e+03 6.57101794e+03 6.52046808e+03\n 6.48146947e+03 6.43490065e+03 6.51008088e+03 6.48523221e+03\n 6.52131324e+03 6.46446316e+03 6.42953915e+03 6.49539798e+03\n 6.55056617e+03 6.66998292e+03 6.48890616e+03 6.44817972e+03\n 6.61733595e+03 6.62459217e+03 6.56366741e+03 6.51102071e+03\n 6.65730262e+03 6.59225594e+03 6.56700992e+03 6.59698533e+03\n 6.57194062e+03 6.43748961e+03 6.53739659e+03 6.55320305e+03\n 0.00000000e+00 0.00000000e+00 6.59476982e+03 6.55143628e+03\n 6.84735883e+03 6.86139165e+03 6.78833670e+03 7.08988460e+03\n 6.80391643e+03 0.00000000e+00 7.01594263e+03 7.16566091e+03\n 6.82968675e+03 6.79065865e+03 7.10391920e+03 6.96591047e+03\n 6.78572419e+03 7.17685979e+03 6.88190174e+03 6.73791544e+03\n 0.00000000e+00 6.99505921e+03 6.47021265e+03 6.68467258e+03\n 0.00000000e+00 0.00000000e+00 -2.18263366e+04 1.55785474e-08\n -1.92926689e-07 -1.07830104e+04 -1.32949243e-07 1.62333906e-08\n 1.31306073e-08 1.22486227e-08 -5.65781570e+01 -7.79999991e+01\n -5.81771924e+01 -5.63266464e-07 -6.81039217e+01 -6.54019666e+01\n -6.18175049e+01 -7.79999994e+01 -1.40197170e-06 -6.83591285e-07\n -5.17169162e+01 -2.09320484e-07 -6.18705231e+01 -6.95879555e+01\n -7.25910266e+01 -7.19230732e+01 -3.50239895e+01 -2.69228011e-06\n -4.94310859e+01 -5.22526699e+01 -5.40219982e+01 -6.97426172e+01\n -6.54186326e+01 -5.60942648e+01 -6.19415718e+01 -4.21512952e+01\n -5.46618553e+01 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"pcost": -1909055.21133479, + "dcost": -1909055.2122689304, + "pres": 4.82181983994533e-12, + "dres": 9.037743183745271e-10, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": NaN, + "dinfres": 0.21463437695854548, + "gap": 0.0037144525939279797, + "relgap": 1.945702026779454e-09, + "r0": 1e-08, + "iter": 19, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.017218332, + "tsetup": 0.002215416, + "tsolve": 0.015002916 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 3154, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "ship08l", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:18:42", + "solve_time": 0.1505870819091797, + "status": "OPTIMAL", + "primal_objective_value": 1909055.839336589, + "dual_objective_value": 1909061.8633382074, + "duality_gap": -6.02400161838159, + "primal_infeasibility": 1.4829104752774742e-05, + "dual_infeasibility": 1.3381021245514312e-10, + "iterations": 2600, + "memo": { + "solver_solve_time": 0.13494654100000003, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 1909061.8633382074, + "solver_stats": { + "solve_time": 0.13494654100000003, + "num_iters": 2600, + "solver_name": "OSQP", + "extra_stats": "namespace(x=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 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5.48730747e+03, 5.49136573e+03, 5.79088673e+03, 5.73135471e+03,\n 5.69787471e+03, 5.90619471e+03, 5.68423471e+03, 0.00000000e+00,\n 5.80081812e+03, 5.98309837e+03, 5.73881844e+03, 5.67059471e+03,\n 6.09715628e+03, 5.82809844e+03, 5.74747471e+03, 5.95827471e+03,\n 5.74375502e+03, 5.48476702e+03, 0.00000000e+00, 5.81815471e+03,\n 5.46218651e+03, 5.63217844e+03, 0.00000000e+00, 0.00000000e+00,\n 2.52500052e+02, 2.52499493e+02, 2.52535127e+02, 2.52725310e+02,\n 2.52537225e+02, 2.52539974e+02, 2.52539974e+02, 2.52538497e+02,\n 2.52539762e+02, 2.52538497e+02, 2.52538497e+02, 2.52538497e+02,\n 0.00000000e+00, 2.52538497e+02, 2.52538497e+02, 2.52538497e+02,\n 2.52539762e+02, 2.52538497e+02, 2.52538497e+02, 2.52538004e+02,\n 2.52538004e+02, 2.52538497e+02, 2.52538004e+02, 2.49379901e+02,\n 2.52538497e+02, 2.52602124e+02, 2.52538497e+02, 2.52539974e+02,\n 2.52538497e+02, 2.52538004e+02, 2.52538497e+02, 2.52538004e+02,\n 2.52538004e+02, 2.52538004e+02, 2.52538004e+02, 2.52538497e+02,\n 2.52538497e+02, 2.52539974e+02, 2.52538497e+02, 2.52538497e+02,\n 2.52538497e+02, 2.52538497e+02, 2.52539974e+02, 2.52538497e+02,\n 2.52539974e+02, 2.52538497e+02, 2.52538497e+02, 2.52538497e+02,\n 2.52539974e+02, 2.52539762e+02, 2.52539762e+02, 2.52533569e+02,\n 2.52539974e+02, 2.52538497e+02, 2.52539974e+02, 2.52539974e+02,\n 2.52539974e+02, 2.52539974e+02, 2.52539974e+02, 2.52539974e+02,\n 0.00000000e+00, 0.00000000e+00, 2.52539974e+02, 2.52532667e+02,\n 2.52538004e+02, 2.52538004e+02, 2.52538004e+02, 2.52538004e+02,\n 2.52538004e+02, 0.00000000e+00, 2.52545400e+02, 2.52538004e+02,\n 2.52538497e+02, 2.52538004e+02, 2.49379386e+02, 2.52538497e+02,\n 2.52538004e+02, 2.52538004e+02, 2.52537542e+02, 2.52538004e+02,\n 0.00000000e+00, 2.52538004e+02, 2.52535127e+02, 2.52538497e+02,\n 0.00000000e+00, 0.00000000e+00, 4.99535654e+03, 4.64846464e+03,\n 5.26755408e+03, 5.01178632e+03, 5.40649793e+03, 5.33651419e+03,\n 5.07284016e+03, 5.14708956e+03, 5.26588950e+03, 4.90916466e+03,\n 5.21308956e+03, 5.18338956e+03, 0.00000000e+00, 5.27248956e+03,\n 4.91081466e+03, 5.11046466e+03, 5.10583678e+03, 5.24411466e+03,\n 5.27413684e+03, 5.19823726e+03, 5.25566506e+03, 5.38138684e+03,\n 5.28733726e+03, 5.02765608e+03, 5.35301466e+03, 5.45728926e+03,\n 5.11706466e+03, 5.43914016e+03, 5.34013684e+03, 5.36786506e+03,\n 5.22133956e+03, 5.27083726e+03, 5.30846506e+03, 5.35993726e+03,\n 5.21308726e+03, 5.37643956e+03, 5.18998956e+03, 5.05106419e+03,\n 5.20781466e+03, 5.27216466e+03, 5.14346466e+03, 5.18668956e+03,\n 5.30037647e+03, 5.27381466e+03, 5.32199016e+03, 5.09891466e+03,\n 5.21968956e+03, 5.19493956e+03, 5.53121419e+03, 5.43583950e+03,\n 5.55596460e+03, 5.14346423e+03, 5.63054016e+03, 5.34343956e+03,\n 5.43881419e+03, 5.60381419e+03, 5.39788635e+03, 5.50811419e+03,\n 5.37809016e+03, 5.46884016e+03, 0.00000000e+00, 0.00000000e+00,\n 5.46356419e+03, 5.34394065e+03, 5.15501506e+03, 5.07581506e+03,\n 5.03126506e+03, 5.30846506e+03, 5.01311506e+03, 0.00000000e+00,\n 5.76418911e+03, 5.54441506e+03, 5.25071466e+03, 4.99496506e+03,\n 5.56256690e+03, 5.31011466e+03, 5.09726506e+03, 5.37776506e+03,\n 5.09231536e+03, 5.30021506e+03, 0.00000000e+00, 5.19131506e+03,\n 5.08511455e+03, 4.96526466e+03, 0.00000000e+00, 0.00000000e+00,\n 4.80042636e+03, 5.02340604e+03, 4.89175997e+03, 4.54483893e+03,\n 4.89516942e+03, 4.81420892e+03, 4.79944892e+03, 4.84864892e+03,\n 4.85602891e+03, 4.98640892e+03, 4.71580892e+03, 4.79083892e+03,\n 0.00000000e+00, 4.78960892e+03, 5.13031892e+03, 4.89784892e+03,\n 4.61494891e+03, 4.73425892e+03, 4.74040892e+03, 4.68382891e+03,\n 4.93843891e+03, 4.82035892e+03, 4.75024891e+03, 4.86627283e+03,\n 4.97287892e+03, 4.87693850e+03, 4.95688892e+03, 4.90768892e+03,\n 4.78960892e+03, 4.91875891e+03, 4.85602892e+03, 4.73794891e+03,\n 5.09218891e+03, 4.80436891e+03, 4.69489891e+03, 4.99993892e+03,\n 4.91875892e+03, 4.92367892e+03, 4.85110892e+03, 4.91014892e+03,\n 4.94335892e+03, 4.78468892e+03, 4.90891892e+03, 4.92859892e+03,\n 4.90399892e+03, 5.09464892e+03, 4.88185892e+03, 4.82773892e+03,\n 5.01346892e+03, 4.99378891e+03, 4.96057891e+03, 4.88526832e+03,\n 5.05159892e+03, 4.96672892e+03, 4.90645892e+03, 4.99378892e+03,\n 4.83265892e+03, 4.96672892e+03, 4.84495892e+03, 4.92859892e+03,\n 0.00000000e+00, 0.00000000e+00, 4.99870892e+03, 4.91217857e+03,\n 5.02207891e+03, 5.22871891e+03, 5.10694891e+03, 5.40829891e+03,\n 5.30989891e+03, 0.00000000e+00, 5.18566891e+03, 5.24593891e+03,\n 5.10694892e+03, 5.32834891e+03, 5.08621308e+03, 5.31973892e+03,\n 5.03806891e+03, 5.38738891e+03, 5.43043890e+03, 4.99054975e+03,\n 0.00000000e+00, 5.41321891e+03, 4.61737969e+03, 4.99993892e+03,\n 0.00000000e+00, 0.00000000e+00, 4.90856690e+03, 4.58401518e+03,\n 5.02246801e+03, 5.13318768e+03, 5.11912833e+03, 5.03942067e+03,\n 4.90317067e+03, 4.99473064e+03, 5.00236056e+03, 4.75711064e+03,\n 5.10205134e+03, 4.95440064e+03, 0.00000000e+00, 5.03397064e+03,\n 4.75820064e+03, 4.89009064e+03, 5.13534056e+03, 4.97838064e+03,\n 5.25683134e+03, 5.20996181e+03, 4.98601053e+03, 5.21491064e+03,\n 5.17458053e+03, 4.97477201e+03, 5.05032064e+03, 5.50551363e+03,\n 4.89445064e+03, 5.20510067e+03, 5.09065064e+03, 5.06013053e+03,\n 4.96748064e+03, 5.10591053e+03, 5.02089053e+03, 5.29884053e+03,\n 5.06994053e+03, 5.07321064e+03, 4.95767064e+03, 4.85085067e+03,\n 4.95440064e+03, 4.99691064e+03, 4.91189064e+03, 5.03615064e+03,\n 5.01544067e+03, 4.99800064e+03, 5.06013067e+03, 4.88246064e+03,\n 4.99146064e+03, 4.95440064e+03, 5.16804067e+03, 5.24920126e+03,\n 5.18439056e+03, 4.91188664e+03, 5.27813067e+03, 5.06994064e+03,\n 5.10700067e+03, 5.21600067e+03, 5.15169067e+03, 5.15278067e+03,\n 5.12771067e+03, 5.18439067e+03, 0.00000000e+00, 0.00000000e+00,\n 5.12335067e+03, 5.13635481e+03, 4.91952053e+03, 4.86720053e+03,\n 4.83777053e+03, 5.02089053e+03, 4.82578053e+03, 0.00000000e+00,\n 5.41607270e+03, 5.17676053e+03, 4.98274064e+03, 4.81379053e+03,\n 4.57471846e+03, 5.02198064e+03, 4.88137053e+03, 5.06667053e+03,\n 4.87810049e+03, 5.01544053e+03, 0.00000000e+00, 4.94350053e+03,\n 5.10138994e+03, 4.79417064e+03, 0.00000000e+00, 0.00000000e+00,\n 2.73104312e+02, 2.73103790e+02, 2.73139928e+02, 2.73495051e+02,\n 2.73141785e+02, 2.73141559e+02, 2.73141559e+02, 2.73139420e+02,\n 2.73140968e+02, 2.73139420e+02, 2.73139420e+02, 2.73139420e+02,\n 0.00000000e+00, 2.73139420e+02, 2.73139420e+02, 2.73139420e+02,\n 2.73140968e+02, 2.73139420e+02, 2.73139420e+02, 2.73138375e+02,\n 2.73138375e+02, 2.73139420e+02, 2.73138375e+02, 2.70022246e+02,\n 2.73139420e+02, 2.73187026e+02, 2.73139420e+02, 2.73141559e+02,\n 2.73139420e+02, 2.73138375e+02, 2.73139420e+02, 2.73138375e+02,\n 2.73138375e+02, 2.73138375e+02, 2.73138375e+02, 2.73139420e+02,\n 2.73139420e+02, 2.73141559e+02, 2.73139420e+02, 2.73139420e+02,\n 2.73139420e+02, 2.73139420e+02, 2.73141559e+02, 2.73139420e+02,\n 2.73141559e+02, 2.73139420e+02, 2.73139420e+02, 2.73139420e+02,\n 2.73141559e+02, 2.73140968e+02, 2.73140968e+02, 2.73140195e+02,\n 2.73141559e+02, 2.73139420e+02, 2.73141559e+02, 2.73141559e+02,\n 2.73141559e+02, 2.73141559e+02, 2.73141559e+02, 2.73141559e+02,\n 0.00000000e+00, 0.00000000e+00, 2.73141559e+02, 2.73143212e+02,\n 2.73138375e+02, 2.73138375e+02, 2.73138375e+02, 2.73138375e+02,\n 2.73138375e+02, 0.00000000e+00, 2.73146667e+02, 2.73138375e+02,\n 2.73139420e+02, 2.73138375e+02, 2.70021760e+02, 2.73139420e+02,\n 2.73138375e+02, 2.73138375e+02, 2.73137323e+02, 2.73138375e+02,\n 0.00000000e+00, 2.73138375e+02, 2.73139928e+02, 2.73139420e+02,\n 0.00000000e+00, 0.00000000e+00, -2.18389958e+04, -2.47507601e-06,\n -1.26050967e-03, -1.07566540e+04, 3.32264199e-03, 8.44143815e-05,\n -4.33518521e-05, -1.65925959e-05, -4.18952806e+01, -7.79260422e+01,\n -4.15225787e+01, 1.58099818e-03, -6.47602403e+01, -2.91767646e+01,\n -2.37069809e+01, -7.79903361e+01, 1.85486092e-03, -1.14130515e-03,\n -7.27901975e+01, -1.51275480e-03, -7.09809576e+01, -7.23611828e+01,\n -7.19989744e+01, -7.70590444e+01, -1.37422593e+01, -1.95455529e-03,\n -5.08198418e+01, -7.29787741e+01, -7.71039104e+01, -6.25864130e+01,\n -5.24627842e+01, -7.21688988e+01, -2.40945356e-03, -2.44808590e-03,\n -5.18566149e-03, -3.03252072e+00, -3.10284853e-03, -7.89187190e-03,\n -1.76686794e-02, -5.18566084e-03, -4.28281511e+01, -2.28186369e-03,\n -2.90732529e+01, -2.96086896e-03, -7.56464555e+01, -7.48043117e+01,\n -7.60621385e+01, -7.69004093e+01, -7.78771961e+01, -7.76301453e+01,\n -6.94259461e+01, 4.25620637e-04, -7.78869025e+01, -4.75761425e+01,\n -2.07402662e+01, -7.79718688e+01, -7.79479202e+01, -8.75004037e-01,\n -2.00261148e+01, -7.80259320e+01, -5.04285189e+01, -7.79963049e+01,\n -3.37133116e+01, -6.41001404e+01, -1.93244817e-03, -1.96343720e-03,\n -3.60892058e-03, -2.80854457e+00, -1.85812726e-03, -5.50841591e-03,\n -1.33418198e-02, -3.60892170e-03, 8.45145893e-04, 4.90209562e+00,\n -1.26050967e-03, -1.21698643e-03, 3.32264199e-03, 2.42678389e+01,\n 7.27675202e+01, 9.14408264e-01]), y=array([ 5.25998152e-02, 5.13203384e+01, 3.00993954e+01, ...,\n 0.00000000e+00, 0.00000000e+00, -8.93715251e-21], shape=(4363,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(4363,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-1909061.8633382064, prim_res=0.15955166136620846, dual_res=0.0006713212243752099, iter=2600, rho_updates=3, rho_estimate=1.2336192978628816e-05, setup_time=0.002506625, solve_time=0.132175958, update_time=0.0, polish_time=0.000263958, run_time=0.13494654100000003))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3155, + "solver_name": "cvxpy_cvxopt", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "ship08l", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:18:44", + "solve_time": 0.2043299674987793, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 3156, + "solver_name": "cvxpy_sdpa", + "solver_version": "cvxpy-1.6.5-SDPA-0.2.2", + "problem_library": "NETLIB", + "problem_name": "ship08l", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:18:44", + "solve_time": 0.1684880256652832, + "status": "UNBOUNDED", + 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2.01994781e-09 ... 1.76854130e+02\n 1.23699886e+02 6.07066159e+01]", + "info": { + "exitFlag": 0, + "pcost": -1920098.2105179944, + "dcost": -1920098.210686005, + "pres": 1.129629134231666e-12, + "dres": 1.4964632870674598e-10, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": NaN, + "dinfres": 0.1768331988471318, + "gap": 0.0008036017049559712, + "relgap": 4.185211467590398e-10, + "r0": 1e-08, + "iter": 17, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.008185458, + "tsetup": 0.000796375, + "tsolve": 0.007389083 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 3163, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "ship08s", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": 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5.52345393e+03, 5.70971127e+03, 5.68259393e+03,\n 5.67810127e+03, 5.50631082e+03, 5.60441013e+03, 5.62155393e+03,\n 5.47579013e+03, 5.69227127e+03, 5.70439259e+03, 5.52920013e+03,\n 5.42129013e+03, 5.49541013e+03, 0.00000000e+00, 0.00000000e+00,\n 5.70971127e+03, 5.49257038e+03, 6.23504655e+03, 6.18272655e+03,\n 6.15329655e+03, 6.33641655e+03, 6.14130655e+03, 0.00000000e+00,\n 5.72322023e+03, 6.49228655e+03, 5.65346015e+03, 6.12931655e+03,\n 6.50427655e+03, 6.33750655e+03, 5.59242015e+03, 5.90198015e+03,\n 6.19362655e+03, 5.56299018e+03, 0.00000000e+00, 5.92487015e+03,\n 5.21965194e+03, 6.10969655e+03, 0.00000000e+00, 0.00000000e+00,\n 5.15245832e+03, 4.86712614e+03, 5.29351408e+03, 5.14971857e+03,\n 5.45576297e+03, 5.39920770e+03, 5.17849896e+03, 5.23429825e+03,\n 5.32356770e+03, 5.06304613e+03, 5.28388770e+03, 5.26156770e+03,\n 0.00000000e+00, 5.32852959e+03, 5.06428613e+03, 5.21432613e+03,\n 5.33423074e+03, 5.34068152e+03, 5.34687860e+03, 5.28983860e+03,\n 5.32344577e+03, 5.42748152e+03, 5.35680152e+03, 6.93308770e+03,\n 5.39660668e+03, 5.48452152e+03, 5.64939213e+03, 5.45376866e+03,\n 5.39648152e+03, 5.52668152e+03, 5.29008770e+03, 5.34440152e+03,\n 5.36312577e+03, 5.41135860e+03, 5.30100152e+03, 5.45347213e+03,\n 5.26653825e+03, 5.16968518e+03, 5.31364770e+03, 5.33584613e+03,\n 5.44107213e+03, 5.26404770e+03, 5.34961896e+03, 5.42743213e+03,\n 5.36573896e+03, 5.20564613e+03, 5.28884770e+03, 5.27024770e+03,\n 5.56040866e+03, 5.45128770e+03, 5.56412866e+03, 5.23909862e+03,\n 5.59761896e+03, 5.38184770e+03, 5.46108518e+03, 5.63604866e+03,\n 5.47608866e+03, 5.51316518e+03, 5.40789896e+03, 5.47609896e+03,\n 0.00000000e+00, 0.00000000e+00, 5.48228866e+03, 5.37961026e+03,\n 5.24780668e+03, 5.18828668e+03, 5.15480668e+03, 5.36312668e+03,\n 5.14116668e+03, 0.00000000e+00, 5.69805730e+03, 5.54044668e+03,\n 5.31972613e+03, 5.12752668e+03, 5.55408668e+03, 5.36436668e+03,\n 5.20440577e+03, 5.41520577e+03, 5.20068668e+03, 5.61348152e+03,\n 0.00000000e+00, 5.27508577e+03, 5.22281469e+03, 5.10520668e+03,\n 0.00000000e+00, 0.00000000e+00, 5.33128757e+03, 5.51316863e+03,\n 5.63456029e+03, 5.55150119e+03, 5.61187424e+03, 5.32478917e+03,\n 5.36177908e+03, 5.41757905e+03, 5.50685851e+03, 5.64201905e+03,\n 5.46717851e+03, 5.44485851e+03, 0.00000000e+00, 5.43848004e+03,\n 5.71089417e+03, 5.53165905e+03, 5.47193330e+03, 5.61633134e+03,\n 5.57658597e+03, 5.58054443e+03, 5.83545904e+03, 5.61633134e+03,\n 5.61633134e+03, 5.32478917e+03, 5.49784057e+03, 5.61633134e+03,\n 5.88494104e+03, 5.50557501e+03, 5.87626333e+03, 5.61633134e+03,\n 5.47337851e+03, 5.61633134e+03, 5.94705904e+03, 5.58054443e+03,\n 5.61633134e+03, 5.68902104e+03, 5.44981905e+03, 5.50437908e+03,\n 5.49693851e+03, 5.54033905e+03, 5.67662104e+03, 5.44733851e+03,\n 5.53289908e+03, 5.66298104e+03, 5.54901908e+03, 5.63953905e+03,\n 5.47213851e+03, 5.45353851e+03, 5.50557501e+03, 5.32478917e+03,\n 5.50557501e+03, 5.47462005e+03, 5.58229914e+03, 5.56513851e+03,\n 5.68045908e+03, 5.50557501e+03, 5.50557501e+03, 5.70029908e+03,\n 5.58229914e+03, 5.58229914e+03, 0.00000000e+00, 0.00000000e+00,\n 5.50557501e+03, 5.57811640e+03, 5.89385046e+03, 5.83433046e+03,\n 5.80085046e+03, 6.00917046e+03, 5.78721046e+03, 0.00000000e+00,\n 5.88133874e+03, 6.18649046e+03, 5.81933905e+03, 5.77357046e+03,\n 6.20013046e+03, 6.01041046e+03, 5.85044897e+03, 6.06124897e+03,\n 5.84673046e+03, 5.61633134e+03, 0.00000000e+00, 5.92112897e+03,\n 5.55028470e+03, 5.75125046e+03, 0.00000000e+00, 0.00000000e+00,\n 3.31538165e+02, 3.31760831e+02, 3.32831744e+02, 3.33380596e+02,\n 3.32510666e+02, 3.28315411e+02, 3.32890234e+02, 3.32891931e+02,\n 3.28315411e+02, 3.32891931e+02, 3.28315411e+02, 3.28315411e+02,\n 0.00000000e+00, 3.30327115e+02, 3.32891931e+02, 3.32891931e+02,\n 3.30535725e+02, 3.36213269e+02, 3.32891931e+02, 3.32980443e+02,\n 3.32980443e+02, 3.36213269e+02, 3.36213269e+02, 3.28315411e+02,\n 3.28518759e+02, 3.36213269e+02, 3.29027548e+02, 3.30415043e+02,\n 3.36213269e+02, 3.36213269e+02, 3.28315411e+02, 3.36213269e+02,\n 3.32980443e+02, 3.32980443e+02, 3.36213269e+02, 3.29027548e+02,\n 3.32891931e+02, 3.32890234e+02, 3.28315411e+02, 3.32891931e+02,\n 3.29027548e+02, 3.28315411e+02, 3.32890234e+02, 3.29027548e+02,\n 3.32890234e+02, 3.32891931e+02, 3.28315411e+02, 3.28315411e+02,\n 3.30415043e+02, 3.28315411e+02, 3.30415043e+02, 3.32320458e+02,\n 3.32890234e+02, 3.28315411e+02, 3.32890234e+02, 3.30415043e+02,\n 3.30415043e+02, 3.32890234e+02, 3.32890234e+02, 3.32890234e+02,\n 0.00000000e+00, 0.00000000e+00, 3.30415043e+02, 3.32877698e+02,\n 3.28518759e+02, 3.28518759e+02, 3.28518759e+02, 3.28518759e+02,\n 3.28518759e+02, 0.00000000e+00, 3.33039241e+02, 3.28518759e+02,\n 3.32891931e+02, 3.28518759e+02, 3.28518759e+02, 3.28518759e+02,\n 3.32980443e+02, 3.32980443e+02, 3.28518759e+02, 3.36213269e+02,\n 0.00000000e+00, 3.32980443e+02, 3.32777109e+02, 3.28518759e+02,\n 0.00000000e+00, 0.00000000e+00, 5.05169460e+03, 4.68341034e+03,\n 5.30042264e+03, 5.09581589e+03, 5.47409307e+03, 5.44754886e+03,\n 5.15384936e+03, 5.22809933e+03, 5.34689886e+03, 4.94411034e+03,\n 5.29409886e+03, 5.26439886e+03, 0.00000000e+00, 5.35349887e+03,\n 4.94576034e+03, 5.14541034e+03, 5.31570265e+03, 5.34991622e+03,\n 5.35816589e+03, 5.28226600e+03, 5.29061036e+03, 5.46541622e+03,\n 5.37136622e+03, 5.10860976e+03, 5.38796012e+03, 5.54131622e+03,\n 5.69861177e+03, 5.52014889e+03, 5.42416622e+03, 5.59741622e+03,\n 5.30234886e+03, 5.35486622e+03, 5.34341036e+03, 5.44396600e+03,\n 5.29711622e+03, 5.43791177e+03, 5.24771034e+03, 5.08601033e+03,\n 5.33369886e+03, 5.30711034e+03, 5.42141177e+03, 5.26769886e+03,\n 5.33516033e+03, 5.40326177e+03, 5.40290467e+03, 5.13386034e+03,\n 5.30069886e+03, 5.27594886e+03, 5.66204889e+03, 5.51684886e+03,\n 5.66699889e+03, 5.17841109e+03, 5.71154936e+03, 5.42444886e+03,\n 5.47376033e+03, 5.76269889e+03, 5.54984889e+03, 5.54306033e+03,\n 5.45909936e+03, 5.54984936e+03, 0.00000000e+00, 0.00000000e+00,\n 5.55809889e+03, 5.40637783e+03, 5.18996012e+03, 5.11076012e+03,\n 5.06621012e+03, 5.34341012e+03, 5.04806012e+03, 0.00000000e+00,\n 5.84519932e+03, 5.57936012e+03, 5.28566034e+03, 5.02991012e+03,\n 5.59751012e+03, 5.34506012e+03, 5.13221036e+03, 5.41271036e+03,\n 5.12726012e+03, 5.71291622e+03, 0.00000000e+00, 5.22626036e+03,\n 5.19315923e+03, 5.00021012e+03, 0.00000000e+00, 0.00000000e+00,\n 4.88466617e+03, 5.38158620e+03, 5.00734578e+03, 4.62882628e+03,\n 4.97937627e+03, 5.20743605e+03, 4.88343628e+03, 4.93263628e+03,\n 5.13240605e+03, 5.07039628e+03, 5.09304605e+03, 5.07090605e+03,\n 0.00000000e+00, 5.13732605e+03, 5.21430628e+03, 4.98183628e+03,\n 4.81260625e+03, 4.81824628e+03, 4.82439628e+03, 4.76781628e+03,\n 5.02242628e+03, 4.90434628e+03, 4.83423628e+03, 4.95185168e+03,\n 5.98479611e+03, 4.96092628e+03, 5.43252622e+03, 5.18283624e+03,\n 4.87359628e+03, 5.00274628e+03, 5.09919605e+03, 4.82193628e+03,\n 5.17617628e+03, 4.88835628e+03, 4.77888628e+03, 5.23818622e+03,\n 5.00274628e+03, 5.00766628e+03, 5.12256605e+03, 4.99413628e+03,\n 5.22588622e+03, 5.07336605e+03, 4.99290628e+03, 5.21235622e+03,\n 4.98798628e+03, 5.17863628e+03, 5.09796605e+03, 5.07951605e+03,\n 5.24433624e+03, 5.25909605e+03, 5.20866624e+03, 5.02488625e+03,\n 5.13558628e+03, 5.19021605e+03, 4.99044628e+03, 5.22465624e+03,\n 5.26401624e+03, 5.05071628e+03, 4.92894628e+03, 5.01258628e+03,\n 0.00000000e+00, 0.00000000e+00, 5.24433624e+03, 5.00639812e+03,\n 5.83719611e+03, 5.77815611e+03, 5.74494611e+03, 5.95158611e+03,\n 5.73141611e+03, 0.00000000e+00, 5.26965628e+03, 6.12747611e+03,\n 5.19093628e+03, 5.71788611e+03, 5.44490634e+03, 5.95281611e+03,\n 5.12205628e+03, 5.47137628e+03, 5.79045611e+03, 5.08884628e+03,\n 0.00000000e+00, 5.49720628e+03, 4.70139627e+03, 5.69574611e+03,\n 0.00000000e+00, 0.00000000e+00, 4.94957781e+03, 4.60848126e+03,\n 5.05986294e+03, 5.17411813e+03, 5.18828831e+03, 5.24448733e+03,\n 4.94412827e+03, 5.03568827e+03, 5.17799733e+03, 4.79806827e+03,\n 5.14311733e+03, 5.12349733e+03, 0.00000000e+00, 5.18235733e+03,\n 4.79915827e+03, 4.93104827e+03, 5.19216733e+03, 5.41997797e+03,\n 5.29789732e+03, 5.25102732e+03, 5.02696827e+03, 5.49627797e+03,\n 5.43414797e+03, 5.01735236e+03, 5.09127827e+03, 5.54641797e+03,\n 5.32296809e+03, 5.29244733e+03, 5.46902797e+03, 5.58347797e+03,\n 5.14856733e+03, 5.42324797e+03, 5.06184827e+03, 5.33979827e+03,\n 5.38509797e+03, 5.15074809e+03, 4.99862827e+03, 4.89180827e+03,\n 5.16927733e+03, 5.03786827e+03, 5.13984809e+03, 5.12567733e+03,\n 5.05639827e+03, 5.12785809e+03, 5.10108827e+03, 4.92341827e+03,\n 5.14747733e+03, 5.13112733e+03, 5.38618733e+03, 5.29026733e+03,\n 5.38945733e+03, 4.95284819e+03, 5.31908827e+03, 5.22922733e+03,\n 5.14795827e+03, 5.41452832e+03, 5.31206733e+03, 5.19373827e+03,\n 5.16866827e+03, 5.22534827e+03, 0.00000000e+00, 0.00000000e+00,\n 5.31751733e+03, 5.12922334e+03, 4.96047827e+03, 4.90815827e+03,\n 4.87872827e+03, 5.06184827e+03, 4.86673827e+03, 0.00000000e+00,\n 5.45703809e+03, 5.21771827e+03, 5.02369827e+03, 4.85474827e+03,\n 4.61619976e+03, 5.06293827e+03, 4.92232827e+03, 5.10762827e+03,\n 4.91905827e+03, 5.65977797e+03, 0.00000000e+00, 4.98445827e+03,\n 5.15157906e+03, 4.83512827e+03, 0.00000000e+00, 0.00000000e+00,\n 3.62101761e+02, 3.62319782e+02, 3.63368346e+02, 3.64248457e+02,\n 3.63053325e+02, 3.58885340e+02, 3.63415262e+02, 3.63416850e+02,\n 3.58885340e+02, 3.63416850e+02, 3.58885340e+02, 3.58885340e+02,\n 0.00000000e+00, 3.60883242e+02, 3.63416850e+02, 3.63416850e+02,\n 3.61089653e+02, 3.66653841e+02, 3.63416850e+02, 3.63502663e+02,\n 3.63502663e+02, 3.66653841e+02, 3.66653841e+02, 3.58885340e+02,\n 3.59087688e+02, 3.66653841e+02, 3.59596456e+02, 3.60969309e+02,\n 3.66653841e+02, 3.66653841e+02, 3.58885340e+02, 3.66653841e+02,\n 3.63502663e+02, 3.63502663e+02, 3.66653841e+02, 3.59596456e+02,\n 3.63416850e+02, 3.63415262e+02, 3.58885340e+02, 3.63416850e+02,\n 3.59596456e+02, 3.58885340e+02, 3.63415262e+02, 3.59596456e+02,\n 3.63415262e+02, 3.63416850e+02, 3.58885340e+02, 3.58885340e+02,\n 3.60969309e+02, 3.58885340e+02, 3.60969309e+02, 3.62869634e+02,\n 3.63415262e+02, 3.58885340e+02, 3.63415262e+02, 3.60969309e+02,\n 3.60969309e+02, 3.63415262e+02, 3.63415262e+02, 3.63415262e+02,\n 0.00000000e+00, 0.00000000e+00, 3.60969309e+02, 3.63403615e+02,\n 3.59087688e+02, 3.59087688e+02, 3.59087688e+02, 3.59087688e+02,\n 3.59087688e+02, 0.00000000e+00, 3.63561900e+02, 3.59087688e+02,\n 3.63416850e+02, 3.59087688e+02, 3.59087688e+02, 3.59087688e+02,\n 3.63502663e+02, 3.63502663e+02, 3.59087688e+02, 3.66653841e+02,\n 0.00000000e+00, 3.63502663e+02, 3.63314119e+02, 3.59087688e+02,\n 0.00000000e+00, 0.00000000e+00, -2.64610667e+04, -6.10502756e-05,\n 9.27747152e-03, -9.24746634e+03, 1.39011671e-03, 4.93800158e-05,\n -8.03247113e-05, -1.55003120e-05, -7.33639885e+01, -7.80030427e+01,\n -4.34542953e+01, -1.38809504e-05, -7.80240234e+01, -7.80006602e+01,\n -9.29587301e+00, -7.80108662e+01, 1.06658400e-02, -5.74036769e-04,\n -5.23007638e+01, -2.99903695e-03, -6.75403312e+01, -7.79735659e+01,\n -6.54094437e+01, -7.79389908e+01, -4.45095260e+00, -1.86365090e-03,\n -7.55266690e+01, -7.80021498e+01, -7.60129156e+01, -7.80010096e+01,\n -4.41506979e+01, -6.99504171e+01, -1.01929117e-01, -8.47767160e-02,\n -2.39747083e-03, -6.23958214e+00, -2.60622088e-02, -3.94955408e-02,\n -6.42386502e-04, -2.30305530e-03, -6.75042589e+01, 2.10153766e-04,\n -4.16462519e+01, -3.40107477e-04, -7.19668253e+01, -7.80006872e+01,\n -7.49803707e+01, -7.79936685e+01, -7.79998909e+01, -7.79999197e+01,\n -3.24514213e+01, -6.86606364e-06, -7.79999839e+01, -7.79999735e+01,\n -1.30217821e+01, -7.79999887e+01, -7.79995424e+01, -1.73670267e+01,\n -2.26364414e+01, -7.79998557e+01, -7.80000319e+01, -7.79999193e+01,\n -6.99740384e+01, -6.50709877e+01, -8.12304030e-02, -6.75620142e-02,\n -1.91049339e-03, -5.78066772e+00, -2.07739281e-02, -3.14777360e-02,\n -5.11906236e-04, -1.83776156e-03, -7.42795991e-03, 4.67906270e+00,\n 9.27747152e-03, -1.80955481e-02, 1.39011671e-03, 2.49146522e+01,\n 3.27274889e+01, 1.90197346e+00]), y=array([6.32221244e+00, 4.96196486e+01, 3.16414551e+01, ...,\n 0.00000000e+00, 1.58829930e-17, 0.00000000e+00], shape=(2467,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2467,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 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"environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:29", + "solve_time": 0.026358842849731445, + "status": "OPTIMAL", + "primal_objective_value": 1489236.1344061291, + "dual_objective_value": 1489236.1344061291, + "duality_gap": 0.0, + "primal_infeasibility": 5.75032302290025e-16, + "dual_infeasibility": 1.5192932598029034e-20, + "iterations": 441, + "memo": { + "solver_solve_time": 0.007132500410079956, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 1489236.1344061291, + "solver_stats": { + "solve_time": 0.007132500410079956, + "num_iters": 441, + "solver_name": "HIGHS", + "extra_stats": "" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3186, + "solver_name": "scipy_linprog", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:30", + "solve_time": 0.5156638622283936, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:30 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:30 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:30 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:30 - python_solver_runner - INFO - Subprocess solving sierra with scipy_linprog\n2026-07-05 18:19:30 - python_solver_runner - INFO - Solving sierra with scipy_linprog\n2026-07-05 18:19:30 - solver_scipy_linprog - INFO - Initialized SciPy solver with method 'highs'\n2026-07-05 18:19:30 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:30 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3187, + "solver_name": "cvxpy_clarabel", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:30", + "solve_time": 0.5411760807037354, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:30 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:30 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:30 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:30 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_clarabel\n2026-07-05 18:19:30 - python_solver_runner - INFO - Solving sierra with cvxpy_clarabel\n2026-07-05 18:19:30 - solver_cvxpy_clarabel - INFO - Initialized CVXPY solver 'cvxpy_clarabel' with backend 'CLARABEL'\n2026-07-05 18:19:30 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:30 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3188, + "solver_name": "cvxpy_scs", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:31", + "solve_time": 0.5767953395843506, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:31 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:31 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:31 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:31 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_scs\n2026-07-05 18:19:31 - python_solver_runner - INFO - Solving sierra with cvxpy_scs\n2026-07-05 18:19:31 - solver_cvxpy_scs - INFO - Initialized CVXPY solver 'cvxpy_scs' with backend 'SCS'\n2026-07-05 18:19:31 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:31 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3189, + "solver_name": "cvxpy_ecos", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:32", + "solve_time": 0.5188949108123779, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:32 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:32 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:32 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:32 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_ecos\n2026-07-05 18:19:32 - python_solver_runner - INFO - Solving sierra with cvxpy_ecos\n2026-07-05 18:19:32 - solver_cvxpy_ecos - INFO - Initialized CVXPY solver 'cvxpy_ecos' with backend 'ECOS'\n2026-07-05 18:19:32 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:32 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3190, + "solver_name": "cvxpy_osqp", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:32", + "solve_time": 0.5368080139160156, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:32 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:32 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:32 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:32 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_osqp\n2026-07-05 18:19:32 - python_solver_runner - INFO - Solving sierra with cvxpy_osqp\n2026-07-05 18:19:32 - solver_cvxpy_osqp - INFO - Initialized CVXPY solver 'cvxpy_osqp' with backend 'OSQP'\n2026-07-05 18:19:32 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:32 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3191, + "solver_name": "cvxpy_cvxopt", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:33", + "solve_time": 0.583975076675415, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:33 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:33 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:33 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:33 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_cvxopt\n2026-07-05 18:19:33 - python_solver_runner - INFO - Solving sierra with cvxpy_cvxopt\n2026-07-05 18:19:33 - solver_cvxpy_cvxopt - INFO - Initialized CVXPY solver 'cvxpy_cvxopt' with backend 'CVXOPT'\n2026-07-05 18:19:33 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:33 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3192, + "solver_name": "cvxpy_sdpa", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:33", + "solve_time": 0.5370082855224609, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:33 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:33 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:33 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:33 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_sdpa\n2026-07-05 18:19:33 - python_solver_runner - INFO - Solving sierra with cvxpy_sdpa\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/cvxpy/problems/problem.py:1504: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n warnings.warn(\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/sdpap/sdpaputils.py:114: RuntimeWarning: k >= N - 1 for N * N square matrix. Attempting to use scipy.linalg.eig instead.\n eig = eigs(mat.toarray(), k=1, which='SM',\n2026-07-05 18:19:33 - solver_cvxpy_sdpa - INFO - Initialized CVXPY solver 'cvxpy_sdpa' with backend 'SDPA'\n2026-07-05 18:19:33 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:33 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3193, + "solver_name": "cvxpy_scip", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:34", + "solve_time": 0.5441789627075195, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:34 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:34 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:34 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:34 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_scip\n2026-07-05 18:19:34 - python_solver_runner - INFO - Solving sierra with cvxpy_scip\n2026-07-05 18:19:34 - solver_cvxpy_scip - INFO - Initialized CVXPY solver 'cvxpy_scip' with backend 'SCIP'\n2026-07-05 18:19:34 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:34 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3194, + "solver_name": "cvxpy_highs", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:34", + "solve_time": 0.573657751083374, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:34 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:34 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:34 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:34 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_highs\n2026-07-05 18:19:34 - python_solver_runner - INFO - Solving sierra with cvxpy_highs\n2026-07-05 18:19:34 - solver_cvxpy_highs - INFO - Initialized CVXPY solver 'cvxpy_highs' with backend 'HIGHS'\n2026-07-05 18:19:34 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:34 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3195, + "solver_name": "scipy_linprog", + "solver_version": "scipy-1.15.3", + "problem_library": "NETLIB", + "problem_name": "stair", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:35", + "solve_time": 0.0033617019653320312, + "status": "INFEASIBLE", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": 0, + "memo": { + "solver_solve_time": 0.0033617019653320312, + "original_status": { + "scipy_status": 2, + "scipy_success": false, + "scipy_message": "The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)", + "scipy_fun": null, + "scipy_nit": 0, + "scipy_crossover_nit": 0 + }, + "problem_class": "LP" + } + }, + { + "id": 3196, + "solver_name": "cvxpy_clarabel", + "solver_version": "cvxpy-1.6.5-CLARABEL-0.11.0", + "problem_library": "NETLIB", + "problem_name": "stair", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:36", + "solve_time": 0.012068748474121094, + "status": "UNBOUNDED", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": 12, + "memo": { + "solver_solve_time": 0.007336581, + "original_status": { + "cvxpy_status": "unbounded", + "cvxpy_value": Infinity, + "solver_stats": { + "solve_time": 0.007336581, + "num_iters": 12, + "solver_name": "CLARABEL" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3197, + "solver_name": "cvxpy_scs", + "solver_version": "cvxpy-1.6.5-SCS-3.2.7.post2", + "problem_library": "NETLIB", + "problem_name": "stair", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", 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"processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:37", + "solve_time": 0.021290063858032227, + "status": "UNBOUNDED", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "solver_solve_time": 0.016674999, + "original_status": { + "cvxpy_status": "unbounded", + "cvxpy_value": Infinity, + "solver_stats": { + "solve_time": 0.016674999, + "solver_name": "OSQP", + 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2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([-3.18735995e-06, 3.18952180e-06, 3.83569298e-05, -2.38140175e-06,\n -1.08274520e-06, -1.83829712e-06, -6.30800559e-06, -1.03566248e-06,\n -1.34538632e-06, -2.78088797e-06, -7.94250064e-07, -2.70599081e-06,\n -2.08537213e-06, 5.62541153e-07, -4.65824319e-06, -9.84298384e-08,\n -1.10444652e-05, -1.79277452e-06, 4.20337820e-08, 6.00232571e-08,\n 2.31265681e-08, 1.57545950e-08, 6.45157748e-07, -7.61004558e-05,\n -8.14181884e-05, -4.82103210e-01, 3.50259619e-06, 1.18561820e-06,\n 2.18711086e-05, -4.66422677e-05, 5.62175219e-06, -4.82104304e-01,\n 7.64386164e-05, -4.36983019e-06, -2.16737716e-06, -7.25909147e-06,\n -4.46817309e-06, -5.55216421e-06, -6.57595390e-06, -9.83649106e-06,\n -4.23796630e-06, -9.83175785e-06, -6.74508253e-06, -1.33700244e-07,\n -7.72581977e-06, -9.20132184e-07, -1.82362989e-05, -1.95430513e-06,\n 4.74133292e-08, 2.31186246e-08, -5.30996280e-09, 1.51257737e-07,\n 2.18311141e-07, -6.45662781e-05, -6.91036344e-05, -5.01887951e-01,\n -9.59106466e-07, -4.48355273e-06, -2.86711683e-06, -1.16210886e-04,\n 7.90953845e-06, -5.23533662e-08, -8.27223646e-08, -5.99926548e-08,\n -5.01886621e-01, 6.94446673e-05, -6.33755072e-06, -3.29196599e-06,\n -8.97330057e-06, -4.67011385e-06, -6.23293602e-06, -7.92395863e-06,\n -1.05941558e-05, -5.70364749e-06, -1.13763622e-05, -7.31849251e-06,\n -9.81151955e-07, -1.23782059e-05, -1.37416483e-06, -2.62949464e-05,\n -4.26663260e-06, 1.85819462e-08, 5.51735451e-09, 4.07305426e-08,\n 2.89203793e-07, 1.65504125e-07, -7.84810231e-05, -8.22793582e-05,\n -6.43930757e-01, -2.05499708e-06, -1.12744240e-05, -1.66170626e-05,\n -1.63234076e-04, 9.07233464e-06, -9.22932529e-08, -4.16697014e-08,\n -1.04130155e-07, -6.07044920e-08, -6.43930195e-01, 3.11804497e-05,\n -8.46678096e-06, -5.22500531e-06, -1.13704837e-05, 2.08492406e-06,\n -6.71270368e-06, -9.43588911e-06, -1.00087582e-05, -7.69395645e-06,\n -1.23793836e-05, -7.57470578e-06, -2.26216782e-06, -1.59413582e-05,\n -1.59309634e-06, -3.18034605e-05, -6.59348593e-06, 2.50372779e-08,\n -3.59057941e-09, 6.78230568e-08, 3.45730367e-07, -4.68441800e-07,\n 5.40933540e-05, 6.40312902e-05, -7.92818636e-01, -1.36037573e-05,\n -7.32634633e-06, -2.04476546e-05, -1.62299203e-04, 7.73380055e-06,\n -1.35057704e-07, -7.59864268e-08, -1.63946173e-07, -1.06325711e-07,\n -7.92743780e-01, -9.11821932e-06, -5.77241124e-06, -3.24330306e-06,\n -4.20735371e-06, -1.72444986e-06, -1.05404360e-06, -2.78663058e-06,\n -8.77742882e-07, -3.69380184e-06, -3.27025285e-06, -1.12698178e-06,\n -1.02432180e-06, -1.49183926e-05, -1.83077067e-06, -2.65401637e-05,\n -8.55235858e-06, 3.14900429e-08, 6.36755671e-08, 6.92104472e-08,\n 5.30985775e-08, 1.94391077e-07, 8.95535854e-06, 1.01545216e-05,\n -5.21203096e-01, -7.00915614e-06, -8.71598257e-06, -1.49951673e-05,\n -1.18779591e-04, 5.62832973e-06, -1.71236810e-07, -9.28446869e-08,\n -1.41232495e-07, -1.13962163e-07, -5.21154381e-01, -4.04195164e-05,\n -5.00590385e-06, -3.56340089e-06, -5.08370826e-06, 6.40941356e-06,\n -1.71954774e-06, -3.43668032e-06, -7.21080293e-07, -3.95381385e-06,\n -3.64858335e-06, -1.48570864e-06, -1.06030568e-06, -1.01244968e-05,\n -8.60767073e-07, -1.75186802e-05, -5.58296536e-06, 1.83555172e-08,\n 5.40290998e-08, 6.01545409e-08, -3.64869257e-08, -4.88544345e-08,\n 1.48093530e-04, 1.51417454e-04, -1.00000000e+00, -1.62626339e-05,\n -6.49051955e-06, 3.89475596e-06, -4.84992301e-05, 2.65948771e-06,\n -1.21022013e-07, -4.51696563e-08, 2.23587212e-08, -5.92286904e-08,\n -2.64169274e-05, -3.20858796e-08, 8.05018171e-08, 7.85978493e-08,\n -2.44116818e-07, -6.98006538e-07, -3.21384069e-08, 3.80106890e-09,\n 1.08892207e-07, 1.63476870e-06, 2.56002183e-06, 3.58125246e-06,\n -1.55472205e-05, 1.82218892e-06, 1.27993121e-06, -7.18523972e-06,\n 1.79894094e-06, 1.90996204e-06, -7.93429525e-06, -2.31454731e-06,\n 3.05053563e-07, 1.77154739e-06, 2.52266987e-06, 6.56851313e-07,\n 4.04570142e-08, 3.60451122e-08, 1.97568943e-08, 3.87646435e-08,\n 1.35454058e-08, -9.33266706e-06, 8.69859827e-07, 2.29254076e-06,\n 8.82950621e-07, -1.31869721e-05, -1.39030256e-06, -9.37726460e-07,\n -9.13513193e-06, 6.92255556e-07, -1.15586226e-06, -8.54566883e-06,\n -1.45219258e-06, 1.37100158e-06, -2.95408488e-07, 2.69402038e-06,\n 9.03708714e-07, 4.12951682e-08, 2.91048131e-08, 1.67574183e-08,\n 4.41497787e-08, -1.86859415e-07, 7.89895681e-06, 5.37286222e-07,\n 3.01863318e-06, 1.61508189e-06, -2.09991386e-05, -2.42131713e-06,\n -1.09891483e-06, -1.14409240e-05, 1.03540091e-06, -1.45563402e-06,\n -9.36322220e-06, -1.39260521e-06, 5.59955420e-07, -1.30736850e-06,\n 9.66633938e-07, 3.88736925e-07, 1.20563621e-08, 1.43300068e-08,\n 4.66494066e-08, 1.08309009e-07, -2.31772390e-08, 7.68926837e-06,\n -2.04728430e-06, -2.30175264e-06, -4.87548553e-06, 1.23231661e-05,\n -3.38930471e-06, -2.78015163e-06, 2.15533090e-06, -1.98761564e-06,\n -4.04984411e-06, 2.01931046e-06, 1.28580759e-06, 3.65572173e-07,\n -1.31117589e-06, -2.28993867e-06, 2.73285045e-07, 1.54424399e-08,\n 1.76143352e-08, 4.50540127e-08, 6.36481945e-08, -1.96938742e-07,\n 4.01411162e-06, -9.99744457e-07, -3.09695092e-07, 8.11601888e-07,\n -3.89684847e-06, -9.28186968e-08, 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1.41530654e+03 1.40563574e+03\n 1.39946247e+03 1.39410344e+03 1.39193362e+03 1.39060625e+03\n 1.39193362e+03 1.39410344e+03 1.39946247e+03 1.40600229e+03\n 1.41530654e+03 1.50479952e+03 1.49527704e+03 1.48924498e+03\n 1.48407960e+03 1.48053273e+03 1.47995520e+03 1.48053273e+03\n 1.48407960e+03 1.48924498e+03 1.49527704e+03 1.50479952e+03\n 1.59676002e+03 1.58732746e+03 1.58007403e+03 1.57489142e+03\n 1.57210118e+03 1.57045920e+03 1.57210118e+03 1.57489142e+03\n 1.58007403e+03 1.58701959e+03 1.59676002e+03 1.68940668e+03\n 1.67979149e+03 1.67335939e+03 1.66814756e+03 1.66481789e+03\n 1.66424716e+03 1.66481789e+03 1.66814756e+03 1.67335939e+03\n 1.67978602e+03 1.68940668e+03 1.78486538e+03 1.77523385e+03\n 1.76824190e+03 1.76300311e+03 1.76029355e+03 1.75917658e+03\n 1.76029355e+03 1.76300311e+03 1.76824190e+03 1.77523666e+03\n 1.78486538e+03 1.88147575e+03 1.87186216e+03 1.86584594e+03\n 1.86039242e+03 1.85736180e+03 1.85633993e+03 1.85736180e+03\n 1.86039242e+03 1.86584594e+03 1.87188028e+03 1.88147575e+03\n 1.98110755e+03 1.97147660e+03 1.96503712e+03 1.95966907e+03\n 1.95643880e+03 1.95554702e+03 1.95643880e+03 1.95966907e+03\n 1.96482607e+03 1.97146909e+03 1.98110755e+03 2.08210639e+03\n 2.07246824e+03 2.06606259e+03 2.06094230e+03 2.05785429e+03\n 2.05653767e+03 2.05785429e+03 2.06094229e+03 2.06593418e+03\n 2.07216167e+03 2.08156563e+03 2.18522656e+03 2.17620390e+03\n 2.16940336e+03 2.16440052e+03 2.16104117e+03 2.16016156e+03\n 2.16104116e+03 2.16440052e+03 2.16940336e+03 2.17550576e+03\n 2.18487898e+03 2.29053785e+03 2.28095956e+03 2.27439644e+03\n 2.26927651e+03 2.26670779e+03 2.26554466e+03 2.26670778e+03\n 2.26927651e+03 2.27413266e+03 2.28088623e+03 2.29053785e+03\n 2.39762661e+03 2.38800858e+03 2.38202502e+03 2.37684533e+03\n 2.37378000e+03 2.37325402e+03 2.37378000e+03 2.37684533e+03\n 2.38184753e+03 2.38757851e+03 2.39692266e+03 2.50727187e+03\n 2.49759934e+03 2.49122090e+03 2.48597085e+03 2.48339155e+03\n 2.48187112e+03 2.48339157e+03 2.48597085e+03 2.49030686e+03\n 2.49727030e+03 2.50676680e+03 2.61849953e+03 2.60883217e+03\n 2.60277329e+03 2.59753129e+03 2.59420620e+03 2.59341769e+03\n 2.59388850e+03 2.59765437e+03 2.60103499e+03 2.60724062e+03\n 2.61627048e+03 2.73215997e+03 2.72243333e+03 2.71566595e+03\n 2.71049486e+03 2.70769788e+03 2.70639705e+03 2.70755546e+03\n 2.70938250e+03 2.71370025e+03 2.71961463e+03 2.72691057e+03\n 2.84694797e+03 2.83730109e+03 2.83042102e+03 2.82587743e+03\n 2.82268571e+03 2.82193490e+03 2.82203077e+03 2.82484153e+03\n 2.82871977e+03 2.83322097e+03 2.84043866e+03 2.96267095e+03\n 2.95399849e+03 2.94815724e+03 2.94289315e+03 2.94014023e+03\n 2.93823590e+03 2.93941273e+03 2.94289315e+03 2.94526588e+03\n 2.94902269e+03 2.95511635e+03 3.08337858e+03 3.07417517e+03\n 3.06677407e+03 3.06236118e+03 3.05835561e+03 3.05753144e+03\n 3.05918181e+03 3.06159007e+03 3.06505752e+03 3.06711443e+03\n 3.07192075e+03 3.20251169e+03 3.19318246e+03 3.18663111e+03\n 3.18152595e+03 3.17963408e+03 3.17938924e+03 3.17966042e+03\n 3.18291568e+03 3.18651535e+03 3.18718938e+03 3.19090416e+03\n 3.32198432e+03 3.31572393e+03 3.30939629e+03 3.30457801e+03\n 3.30250071e+03 3.30167982e+03 3.30324776e+03 3.30479934e+03\n 3.30650665e+03 3.30827813e+03 3.31106220e+03 3.44267955e+03\n 3.43806046e+03 3.43249753e+03 3.43209531e+03 3.42639959e+03\n 3.42575173e+03 3.42701035e+03 3.42834720e+03 3.43112739e+03\n 3.42946420e+03 3.43085341e+03 3.56512689e+03 3.56465360e+03\n 3.55959616e+03 3.55495222e+03 3.55588677e+03 3.55098761e+03\n 3.54979802e+03 3.55249045e+03 3.54959088e+03 3.54948586e+03\n 3.54999390e+03 3.68654681e+03 3.68671676e+03 3.69016907e+03\n 3.68245295e+03 3.67935642e+03 3.68105327e+03 3.67398945e+03\n 3.66967037e+03 3.66767346e+03 3.66662207e+03 3.66635136e+03\n 3.80444938e+03 3.80531600e+03 3.80869675e+03 3.81708910e+03\n 3.80746451e+03 3.79903258e+03 3.79169585e+03 3.78557148e+03\n 3.78181694e+03 3.78045377e+03 3.78028486e+03 3.91786630e+03\n 3.91772518e+03 3.91699496e+03 3.91593483e+03 3.91527313e+03\n 1.52009692e+02 1.09134923e+02 5.53350546e+01 1.00000000e+01\n -1.66688039e+00 2.92274813e-09 1.66688040e+00 -1.00000000e+01\n -5.53350545e+01 -9.95366002e+01 -1.46642349e+02 1.54002840e+02\n 1.06668087e+02 5.73338588e+01 2.00000000e+01 1.66688042e+00\n -4.65024996e-10 -1.66688042e+00 -2.00000000e+01 -5.73338588e+01\n -1.05550394e+02 -1.49077472e+02 1.60036777e+02 1.12668913e+02\n 6.73338588e+01 3.00000000e+01 1.16668804e+01 -1.11043300e-09\n -1.16668804e+01 -3.00000000e+01 -6.73338588e+01 -1.12668913e+02\n -1.57671120e+02 1.68320517e+02 1.16669370e+02 7.73338588e+01\n 4.00000000e+01 1.91709161e+01 -5.81081691e-11 -1.93229202e+01\n -4.00000000e+01 -7.73338588e+01 -1.16669370e+02 -1.67671120e+02\n 1.77671120e+02 1.26669370e+02 8.73338588e+01 5.00000000e+01\n 2.33331196e+01 3.30310538e-09 -2.33331196e+01 -5.00000000e+01\n -8.73338588e+01 -1.26669370e+02 -1.77671120e+02 1.87671120e+02\n 1.36669370e+02 9.73338588e+01 5.99999999e+01 2.61114674e+01\n 2.49585757e-09 -2.61114674e+01 -5.95358611e+01 -9.73338588e+01\n -1.36669370e+02 -1.87671120e+02 1.97671120e+02 1.46669370e+02\n 1.07021407e+02 6.92011043e+01 3.11118948e+01 -2.09285999e-09\n -3.11118948e+01 -6.92011043e+01 -1.07022273e+02 -1.46669370e+02\n -1.97671120e+02 2.07671120e+02 1.56669370e+02 1.16674978e+02\n 7.51120783e+01 3.75929961e+01 -6.02484505e-10 -3.70248829e+01\n -7.51120783e+01 -1.16675843e+02 -1.56669370e+02 -2.07671120e+02\n 2.17671120e+02 1.66669370e+02 1.23420402e+02 8.21558876e+01\n 4.19269649e+01 -1.02293633e-09 -4.19269649e+01 -8.21551617e+01\n -1.23618996e+02 -1.66669370e+02 -2.17671120e+02 2.27671120e+02\n 1.76669370e+02 1.29395230e+02 8.65951353e+01 4.33337356e+01\n -2.55777894e-08 -4.33337356e+01 -8.65951353e+01 -1.29395230e+02\n -1.76669370e+02 -2.27671120e+02 2.37671120e+02 1.86232766e+02\n 1.35002751e+02 8.95220033e+01 4.46681704e+01 6.76254747e-09\n -4.46681704e+01 -8.95208307e+01 -1.35002751e+02 -1.85869008e+02\n -2.37671120e+02 2.47671120e+02 1.93427301e+02 1.40269071e+02\n 9.18665174e+01 4.61381603e+01 -3.58734854e-08 -4.61381603e+01\n -9.18665174e+01 -1.40268903e+02 -1.93426246e+02 -2.47671120e+02\n 2.57671120e+02 2.00166981e+02 1.46831619e+02 9.57429626e+01\n 4.71983470e+01 -2.40133455e-08 -4.71983470e+01 -9.57429626e+01\n -1.46212721e+02 -2.00167313e+02 -2.57671120e+02 2.67671120e+02\n 2.08455683e+02 1.52756275e+02 9.94956671e+01 4.96048024e+01\n 4.48304724e-08 -4.96048024e+01 -9.94956671e+01 -1.52756275e+02\n -2.08455971e+02 -2.67671120e+02 2.77671120e+02 2.17054892e+02\n 1.58114047e+02 1.04303108e+02 5.22973200e+01 1.39651825e-08\n -5.22973200e+01 -1.03808776e+02 -1.58114047e+02 -2.17054364e+02\n -2.77671120e+02 2.87671120e+02 2.25518556e+02 1.65178446e+02\n 1.08698363e+02 5.41373269e+01 -2.62128005e-08 -5.41373268e+01\n -1.08698363e+02 -1.65178446e+02 -2.25488578e+02 -2.87671120e+02\n 2.97671120e+02 2.33919048e+02 1.71484477e+02 1.11959946e+02\n 5.64010432e+01 4.44032257e-08 -5.64010433e+01 -1.11959946e+02\n -1.71484333e+02 -2.33917995e+02 -2.97671120e+02 3.07671120e+02\n 2.41739160e+02 1.77859443e+02 1.16538880e+02 5.78226193e+01\n -2.08200086e-08 -5.78226193e+01 -1.16538305e+02 -1.77859443e+02\n -2.41738377e+02 -3.07671120e+02 3.17671120e+02 2.49201356e+02\n 1.83807165e+02 1.20935833e+02 6.00546678e+01 -2.19868859e-08\n -6.00546678e+01 -1.20935571e+02 -1.83807165e+02 -2.49200792e+02\n -3.17671120e+02 3.27671120e+02 2.57391249e+02 1.89611740e+02\n 1.25016322e+02 6.28328268e+01 5.94865152e-08 -6.28328268e+01\n -1.25016322e+02 -1.89611740e+02 -2.57393022e+02 -3.27671120e+02\n 3.37671120e+02 2.65131611e+02 1.95325500e+02 1.29261969e+02\n 6.49616544e+01 6.61986887e-08 -6.49616545e+01 -1.29261969e+02\n -1.95325500e+02 -2.65128563e+02 -3.37671120e+02 3.47671120e+02\n 2.73373303e+02 2.01176956e+02 1.32983091e+02 6.64291425e+01\n -1.31607780e-07 -6.64291422e+01 -1.32983091e+02 -2.01176956e+02\n -2.73370269e+02 -3.47671120e+02 3.57671120e+02 2.81225748e+02\n 2.06998577e+02 1.36355478e+02 6.80214364e+01 1.91013401e-07\n -6.80214365e+01 -1.36355478e+02 -2.06998576e+02 -2.81042470e+02\n -3.57671120e+02 3.67671120e+02 2.88701098e+02 2.12642595e+02\n 1.40167277e+02 6.99263359e+01 2.16670375e-08 -6.99263357e+01\n -1.40167277e+02 -2.12642597e+02 -2.88701098e+02 -3.67671120e+02\n 3.77671120e+02 2.96661441e+02 2.19007383e+02 1.44284884e+02\n 7.21458406e+01 -4.91361047e-08 -7.21458405e+01 -1.44284884e+02\n -2.19007383e+02 -2.96815376e+02 -3.77671120e+02 3.87671120e+02\n 3.05175916e+02 2.24660703e+02 1.48192086e+02 7.43585479e+01\n 7.40681885e-08 -7.43585479e+01 -1.48192086e+02 -2.24660703e+02\n -3.05178651e+02 -3.87671120e+02 3.97671120e+02 3.13434992e+02\n 2.31205004e+02 1.52543626e+02 7.60462450e+01 1.01987225e-07\n -7.60462454e+01 -1.52543626e+02 -2.31205004e+02 -3.13433581e+02\n -3.97671120e+02 4.07671120e+02 3.21444162e+02 2.37149474e+02\n 1.56144973e+02 7.81850777e+01 -5.94509958e-07 -7.81850779e+01\n -1.56144973e+02 -2.37149473e+02 -3.21435103e+02 -4.07671120e+02\n 4.17671120e+02 3.29366290e+02 2.43534140e+02 1.60492204e+02\n 8.00987277e+01 -5.49037647e-07 -8.00987283e+01 -1.60492204e+02\n -2.43639655e+02 -3.29370047e+02 -4.17671120e+02 4.27671120e+02\n 3.37175653e+02 2.49344733e+02 1.64602080e+02 8.23071258e+01\n 7.67553494e-08 -8.23071268e+01 -1.64602080e+02 -2.49408938e+02\n -3.37328941e+02 -4.27671119e+02 4.37671120e+02 3.45123726e+02\n 2.55403695e+02 1.68853219e+02 8.45033522e+01 -3.44952282e-07\n -8.45033517e+01 -1.68853216e+02 -2.55403698e+02 -3.45472796e+02\n -4.37671119e+02 4.47671120e+02 3.53245318e+02 2.61212337e+02\n 1.72738555e+02 8.65460925e+01 5.36277907e-07 -8.65460870e+01\n -1.72738555e+02 -2.61344227e+02 -3.52919628e+02 -4.47671119e+02\n 4.57671120e+02 3.61280893e+02 2.67178986e+02 1.76683491e+02\n 8.82352029e+01 6.66842821e-06 -8.82352031e+01 -1.76683493e+02\n -2.67302693e+02 -3.61258668e+02 -4.57603906e+02 4.67671120e+02\n 3.69141159e+02 2.73115430e+02 1.80425913e+02 9.01374029e+01\n -1.44229667e-01 -9.01374001e+01 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6.76843416e-10 2.56473982e-14 1.85275485e-14 4.35157907e-09\n 2.80049491e-09 2.20953337e+00 5.10000000e+00 8.52023066e+00\n 6.18835022e+01 3.06000000e+00 1.60000000e+01 5.14834247e+01\n 4.57500000e+00 3.32998474e+01 1.85594735e-14 3.83002171e+01\n 2.50000000e+02 2.60554248e-12 3.01887419e-14 3.00000000e+00\n 2.60524444e-12 2.16727241e-09 9.11829394e+00 5.30160372e-11\n 1.07783530e-11 3.66974518e-11 8.99290725e+00 3.96491043e+01\n 2.05200000e+00 6.81802835e+00 3.09722581e+00 3.09722581e+00\n 1.02290972e+01 1.55730399e+01 3.77901698e+01 6.76843416e-10\n 6.18835022e+01 8.53545629e-13 4.69686739e-13 8.08777090e-12\n 2.85146624e-12 1.82669054e-11 1.60983358e-11 2.17808176e-12\n 2.50000000e+02 3.78768245e-12 2.50222228e-12 2.65146281e-12\n 1.89221425e-12 8.70000000e+01 3.00000000e+00 3.09600000e+01\n 1.56756554e-10 5.03986132e-12 3.75139157e-12 4.49227126e-12\n 3.49253565e-12 6.11327521e-12 4.84700949e-12 4.91495495e-12\n 4.17504745e-12 1.76586486e+00 2.15471987e-11 7.22704239e+00\n 4.64181566e-11 2.78949600e+01 1.33928224e-10 7.34536857e-11\n 5.62766789e-11 1.17541443e+01 6.69225186e-11 2.03613444e-11\n 5.13000000e+00 8.50421326e-11 8.40857257e-11 6.81802835e+00\n 3.09722581e+00 2.95342254e-10 3.09722581e+00 8.96370328e-15\n 1.02290972e+01 7.94590283e+00 4.82476901e-12 6.63482886e+00\n 1.85594728e-14 6.21131482e-12 4.57500000e+00 3.75251926e-11\n 4.40548872e+00 4.95968242e+00 8.81480736e+00 3.54590637e-11\n 1.88373791e-11 1.35860964e-11 2.86646663e+00 5.10000000e+00\n 2.20953337e+00 1.78347655e+01 3.36486592e+01 1.55730399e+01\n 9.71743567e-11 3.65331405e-10 1.26151373e-11 1.24419244e-11\n 1.30687972e-11 1.64730043e-09 8.72858249e+00 4.20663347e-12\n 1.28128693e+01 1.87309732e+00 1.43424194e+01 4.47050630e-12\n 3.32012599e-02 4.90620478e-10 1.25045827e-09 4.98014266e-12\n 3.33801250e-09 1.45573211e-11 1.15411642e+01 7.42801348e-12\n 2.59631967e-09 1.55307507e+01 2.11546637e-11 2.99887500e+00\n 1.99588358e+01 8.15174417e-12 4.22892127e-02 2.31680122e-11\n 6.54026580e-10 2.28352427e-11 5.71176114e-10 1.47045286e-09\n 7.12140667e-12 3.56961049e-09 2.09483194e-11 3.11897049e-10\n 1.09268702e-11 4.76173134e-12 3.59540441e-12 4.27020074e-12\n 3.35779684e-12 8.21793349e-11 6.30901504e-11 2.78949600e+01\n 1.41238163e-10 1.37690864e-11 5.03288005e-12 1.55003431e-11\n 5.31764326e-12 3.54134652e-12 3.52846895e-12 8.40000000e-01\n 1.52745272e-10 6.34150873e-12 2.99887500e+00 3.15000000e+01\n 2.43323106e-11 2.95350913e-11 1.14998794e-11 3.28427949e-11\n 2.95137804e-11 9.54476918e-11 6.29552046e-11 1.95999084e+00\n 2.15657117e-11 2.09530957e-12 2.06467141e-12 2.00527593e-12\n 1.98452974e-12 8.03421465e+00 4.65145488e-11 1.33503067e-11\n 2.58179419e-10 3.07800000e+00 1.04712728e-11 2.34389693e-12\n 2.36307869e-12 2.28180993e-12 2.30115277e-12 1.99588358e+01\n 1.69225447e-11 2.99887500e+00 4.22892171e-02 4.79221635e-11\n 2.99887500e+00 1.99588358e+01 1.69225290e-11 4.22892171e-02\n 4.79222785e-11 8.47433426e-10 1.94426593e-09 8.78859728e-12\n 4.32679669e-09 2.47727859e-11 4.41580770e+01 3.34789564e+01\n 9.32917119e+00 7.02280441e+00 8.70722645e+00 6.52665468e+00\n 2.34194110e-14 6.51171293e-13 2.38997718e-13 1.85233128e-14\n 8.95074531e-01 1.44035117e+01 1.77842692e-11 4.19694980e-12\n 9.44992702e-13 1.03858161e+00 9.07827106e-13 1.18034431e+00\n 5.92482491e-13 2.16928661e-11 7.28065148e+00 9.77470000e+02\n 3.79706044e+03 4.36987844e+03 3.01392507e-01 3.41064390e+02\n 3.87915011e+03 1.99340943e+03 1.01555439e+03 8.11838757e+02\n 9.24255126e+02 3.85502999e-02 7.89422804e+01 8.19537759e+02\n 4.21143506e+02 2.21684893e+02 7.67257994e+02 8.76280142e+02\n 2.58710656e-02 9.54914895e+01 7.58875092e+02 3.97105239e+02\n 2.53771642e+02 3.21758924e+02 5.02102447e+03 2.68317072e+02\n 8.76865569e+02 9.71559070e+02 6.01637650e+01 1.29997006e+03\n 4.98002821e+01 1.85252622e+02 1.98127810e+02 2.82482730e+01\n 1.30768647e+03 2.46682354e+01 1.68864480e+02 1.38053548e+02\n 1.85594768e-14 1.85594768e-14 1.85594768e-14 1.13999179e+01\n 1.58915659e+03 1.41697478e+02 2.16197459e+03 2.50494492e-10\n 3.65835972e+03 1.85594768e-14 2.35821882e+00 3.45380198e+02\n 1.94707969e+01 4.57796567e+02 2.47259876e-10 7.72891903e+02\n 1.85594768e-14 1.85594768e-14 1.85594768e-14 2.17304146e+00\n 3.31896672e+02 5.19922864e+00 4.40918820e+02 2.48979061e-10\n 7.15338959e+02 1.85594768e-14 8.00000000e+00 1.00000000e+01\n 4.00000000e+01 1.00000000e+01 1.98700000e+01 4.50000000e+01\n 1.04637904e+00 2.95901891e-11 1.85195999e-14 3.69046663e+00\n 8.74960556e-13 4.91479769e+02 4.38116498e+02 4.96940000e+02\n 9.22796067e-13 4.48516575e+02 4.95425000e+02 4.66700153e+02\n 5.00000000e+02 1.16997829e+01 8.00000000e+01 1.50000000e+01\n 6.96549479e-15 3.20000000e+01 2.00000000e+00 1.00000000e+01\n 8.81706065e-01 1.85233535e-14 1.00000000e+00]", + "s": "[6.13169762e-04 2.17229693e-03 4.85123815e-04 6.60999671e-04\n 2.42368058e-03 2.30085992e-03 2.04964628e-03 4.55632145e-03\n 2.84185265e-15 3.46923392e-15 5.01179786e-16 3.08300350e-03\n 6.97504743e-05 1.66186668e+00 4.48504535e-16 7.47897924e-04\n 5.16721083e-03 1.81031668e-03 3.52794534e-05 9.44400634e-04\n 1.72269180e+00 4.03269636e-03 2.51212221e-15 3.31207405e-05\n 3.04897430e-03 3.32682588e-15 1.04832299e-04 8.73257340e-04\n 3.44127053e-01 1.78097012e-04 3.07887913e-04 2.94296729e-03\n 1.48010769e-14 7.69239563e-04 1.59775041e-04 3.90768104e-05\n 1.53421988e-15 3.77174694e-04 4.00206800e-03 1.74005316e-14\n 1.62809562e-14 4.94192372e-03 4.43244280e-03 9.31685302e-04\n 2.87703088e-03 2.28215090e-02 1.92986830e-03 1.71546027e+00\n 5.02070197e-03 2.96094357e-03 2.75492041e-03 4.52399543e-03\n 4.40419187e-03 4.84841587e-04 2.33706919e-04 1.85781392e-03\n 1.60439216e-03 1.66646562e+00 1.76495666e-03 2.33875451e-04\n 2.04136820e-03 5.22557366e-03 1.62588631e+00 2.08901680e-02\n 2.90805385e-02 9.40698491e-04 8.78827569e-04 9.89573685e-04\n 8.62408265e-05 2.09470358e-05 5.64164003e-03 1.71907595e-05\n 8.85085518e-05 1.77732651e-05 5.33871628e-03 1.52579901e-05\n 1.13442870e-04 4.66873080e-05 4.80272968e-03 4.00135761e-05\n 1.58838369e-03 1.40972691e-05 5.33402616e-16 2.90850578e-03\n 9.45068302e-16 1.97724617e-14 5.72177819e-16 2.74308794e-03\n 6.46172848e-14 4.40635181e-05 1.47717117e-05 2.47937672e-03\n 1.13355817e-05 8.09573679e-04 1.33659883e-14 2.80039063e-05\n 7.15635037e-15 6.99620012e-02 2.59174752e-14 4.99403680e-14\n 9.75562715e-15 7.30966820e-02 4.55317828e-12 8.70995876e-05\n 1.36366820e-04 5.95830321e-02 2.29449755e-04 1.78732527e-02\n 1.03347169e-14 1.51555838e-14 1.40068690e-14 6.13169763e-04\n 2.17229693e-03 4.85123815e-04 6.60999673e-04 2.42368058e-03\n 2.30085993e-03 2.04964629e-03 4.55632145e-03 9.73181495e-15\n 1.01147933e-14 1.08990196e-14 3.08300350e-03 6.97504759e-05\n 1.66186668e+00 9.90113773e-15 7.47897925e-04 5.16721083e-03\n 1.81031668e-03 3.52794552e-05 9.44400634e-04 1.72269180e+00\n 4.03269637e-03 6.42228130e-15 3.31207406e-05 3.04897430e-03\n 8.25017371e-15 1.04832299e-04 8.73257340e-04 3.44127053e-01\n 1.78097012e-04 3.07887913e-04 2.94296729e-03 2.68167377e-14\n 7.69239563e-04 1.59775042e-04 3.90768104e-05 7.51381647e-15\n 3.77174694e-04 4.00206800e-03 2.41015281e-14 2.04032154e-14\n 4.94192372e-03 4.43244280e-03 9.31685304e-04 2.87703088e-03\n 2.28215090e-02 1.92986830e-03 1.71546027e+00 5.02070198e-03\n 2.96094357e-03 2.75492042e-03 4.52399543e-03 4.40419188e-03\n 4.84841587e-04 2.33706919e-04 1.85781392e-03 1.60439216e-03\n 1.66646562e+00 1.76495666e-03 2.33875451e-04 2.04136820e-03\n 5.22557367e-03 1.62588631e+00 2.08901680e-02 2.90805385e-02\n 9.40698493e-04 8.78827571e-04 9.89573685e-04 8.62408268e-05\n 2.09470371e-05 5.64164003e-03 1.71907635e-05 8.85085522e-05\n 1.77732667e-05 5.33871628e-03 1.52579916e-05 1.13442870e-04\n 4.66873093e-05 4.80272968e-03 4.00135776e-05 1.58838370e-03\n 1.40972699e-05 1.10672583e-14 2.90850578e-03 2.94323745e-15\n 2.81984310e-14 2.68942820e-15 2.74308794e-03 2.11863830e-13\n 4.40635190e-05 1.47717140e-05 2.47937673e-03 1.13355891e-05\n 8.09573681e-04 2.03632123e-14 2.80039060e-05 1.89374100e-14\n 6.99620012e-02 3.32283216e-14 4.49452006e-14 1.77593331e-14\n 7.30966820e-02 4.60061360e-12 8.70995873e-05 1.36366820e-04\n 5.95830321e-02 2.29449755e-04 1.78732527e-02 1.43505511e-14\n 2.44648124e-14 1.92545532e-14 6.13169763e-04 2.17229693e-03\n 4.85123815e-04 6.60999673e-04 2.42368058e-03 2.30085993e-03\n 2.04964629e-03 4.55632145e-03 1.44926371e-14 1.49033111e-14\n 1.91752036e-14 3.08300350e-03 6.97504759e-05 1.66186668e+00\n 1.84108950e-14 7.47897925e-04 5.16721083e-03 1.81031668e-03\n 3.52794553e-05 9.44400634e-04 1.72269180e+00 4.03269637e-03\n 7.26431933e-15 3.31207406e-05 3.04897430e-03 5.88853805e-15\n 1.04832299e-04 8.73257340e-04 3.44127053e-01 1.78097012e-04\n 3.07887913e-04 2.94296729e-03 4.67975281e-14 7.69239563e-04\n 1.59775042e-04 3.90768104e-05 1.31008449e-14 3.77174694e-04\n 4.00206800e-03 1.42821502e-14 1.49490521e-14 4.94192372e-03\n 4.43244280e-03 9.31685304e-04 2.87703088e-03 2.28215090e-02\n 1.92986830e-03 1.71546027e+00 5.02070198e-03 2.96094357e-03\n 2.75492042e-03 4.52399543e-03 4.40419188e-03 4.84841587e-04\n 2.33706919e-04 1.85781392e-03 1.60439216e-03 1.66646562e+00\n 1.76495666e-03 2.33875451e-04 2.04136820e-03 5.22557367e-03\n 1.62588631e+00 2.08901680e-02 2.90805385e-02 9.40698493e-04\n 8.78827571e-04 9.89573685e-04 8.62408268e-05 2.09470371e-05\n 5.64164003e-03 1.71907637e-05 8.85085522e-05 1.77732668e-05\n 5.33871628e-03 1.52579916e-05 1.13442870e-04 4.66873094e-05\n 4.80272968e-03 4.00135777e-05 1.58838370e-03 1.40972699e-05\n 2.77342685e-14 2.90850578e-03 3.17827303e-15 2.15130220e-14\n 1.82972790e-15 2.74308794e-03 2.17753452e-13 4.40635190e-05\n 1.47717141e-05 2.47937673e-03 1.13355891e-05 8.09573681e-04\n 8.25704435e-15 2.80039060e-05 3.86587796e-14 6.99620012e-02\n 5.02506718e-14 4.26724806e-14 3.15373376e-14 7.30966820e-02\n 4.61289711e-12 8.70995873e-05 1.36366820e-04 5.95830321e-02\n 2.29449755e-04 1.78732527e-02 9.42151644e-15 3.55638586e-04\n 1.63574235e-04 1.92357097e-04 8.25813540e-05 6.87829116e-04\n 2.47378403e-03 6.77553839e-16 3.78518377e-17 4.24777702e-16\n 1.99539666e-16 3.00163533e-16 1.32833923e-16 2.74258674e-16\n 1.48595900e-16 5.80036508e-14 1.43100266e-16 1.71646952e-16\n 4.77088480e-06 1.20994185e-01 1.67475025e-01 1.95100134e-06\n 1.36166874e-06 1.54802273e-15 6.68906312e-16 4.00533307e-16\n 5.49831159e-17 1.11130244e-15 2.13246196e-16 6.63461908e-17\n 7.49352582e-16 1.02315956e-16 1.67471171e-01 8.91390066e-17\n 1.36438857e-17 1.22892037e-03 1.03022549e-01 1.11453129e-15\n 1.25927364e-03 2.58880245e-06 3.97390909e-16 6.44415092e-05\n 3.16072987e-04 9.44908715e-05 3.81082762e-16 8.53133828e-17\n 1.69383502e-15 5.02399609e-16 1.26361217e-15 1.31724582e-15\n 3.37103504e-16 2.18097316e-16 9.35885723e-17 4.77088480e-06\n 5.49831159e-17 4.01349696e-03 7.28809596e-03 4.03155782e-04\n 1.20155830e-03 1.87931628e-04 2.14868486e-04 1.58563194e-03\n 1.36438857e-17 8.84117289e-04 1.34105511e-03 1.26334613e-03\n 1.77079261e-03 3.92355966e-17 1.12276632e-15 1.11296201e-16\n 2.18957020e-05 6.57303614e-04 8.78941616e-04 7.36461903e-04\n 9.43253632e-04 5.39675811e-04 6.80759363e-04 6.72572829e-04\n 7.91975397e-04 2.28131374e-15 1.52447675e-04 4.67964508e-16\n 7.29924485e-05 1.23632675e-16 2.55320260e-05 4.69916276e-05\n 6.16887350e-05 2.85750881e-16 5.14343236e-05 1.62166989e-04\n 6.81793601e-16 4.06131020e-05 4.06131020e-05 5.02553592e-16\n 1.40181435e-15 1.09618334e-05 1.31724582e-15 3.43940080e-01\n 3.37118310e-16 4.24777702e-16 6.89554012e-04 5.09401765e-16\n 1.67471179e-01 5.30723040e-04 7.49352582e-16 8.75693017e-05\n 7.43605793e-16 7.41982272e-16 3.94294951e-16 9.49336568e-05\n 1.77277999e-04 2.45244627e-04 1.18606414e-15 6.68906312e-16\n 1.54802273e-15 1.91533422e-16 1.01500778e-16 2.19417224e-16\n 3.52686821e-05 9.78848309e-06 2.60268132e-04 2.62200266e-04\n 2.52036291e-04 1.84007915e-06 3.64454833e-16 7.82826613e-04\n 4.87526518e-16 2.76464681e-15 2.87864233e-16 7.43315808e-04\n 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Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 3272, + "solver_name": "cvxpy_cvxopt", + "solver_version": "cvxpy-1.6.5-CVXOPT-1.3.2", + "problem_library": "NETLIB", + "problem_name": "vtp_base", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:21:18", + "solve_time": 1.2436439990997314, + "status": "OPTIMAL", + 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"numerr": 0, + "iter": 36, + "feasratio": 1, + "full_info": { + "iter": 36, + "feasratio": 1, + "pinf": 0, + "dinf": 0, + "numerr": 0, + "r0": 1.335001537478772e-09, + "timing": [ + 0.074039027094841, + 0.3955621272325516, + 0.0031281262636184692 + ], + "wallsec": 0.47272928059101105, + "cpusec": 1.71 + } + }, + "problem_class": "LP" + } + }, + { + "id": 3485, + "solver_name": "matlab_sdpt3", + "solver_version": "SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a))", + "problem_library": "NETLIB", + "problem_name": "woodw", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770560.0 + }, + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205", + "timestamp": "2026-07-05T12:52:49", + "solve_time": 0.54528725, + "status": "MAX_ITER", + "primal_objective_value": 1.3052543141507689, + "dual_objective_value": 1.304236915547027, + "duality_gap": 0.001017398603741837, + "primal_infeasibility": 4.9544143918568074e-11, + "dual_infeasibility": 0.0, + "iterations": 35, + "memo": { + "matlab_output": { + "solver_name": "SDPT3", + "status": "max_iter", + "solve_time": 0.54528725, + "setup_time": [], + "iterations": 35, + "primal_objective_value": 1.3052543141507689, + "dual_objective_value": 1.304236915547027, + "duality_gap": 0.001017398603741837, + "primal_infeasibility": 4.9544143918568074e-11, + "dual_infeasibility": 0, + "solver_version": "SDPT3-4.0-20240410", + "solver_options": {}, + "termination_reason": "Relative gap < infeasibility", + "error_message": "", + "timestamp": "2026-07-05 21:52:47", + "matlab_version": "24.1.0.2537033 (R2024a)", + "original_status": { + "termcode": -1, + "iter": 35, + "full_info": { + "dimacs": [ + 6.550530385058028e-11, + 0, + 0.000356046358655608, + 0, + 0.0002818675926875762, + 0.00030324665587334935 + ], + "termcode": -1, + "iter": 35, + "obj": [ + 1.3052543141507689, + 1.304236915547027 + ], + "gap": 0.0010945661448100402, + "relgap": 0.00030324665587334935, + "pinfeas": 4.9544143918568074e-11, + "dinfeas": 0.00023736423910373865, + "cputime": 0.4196329999999975, + "time": { + "preproc": 0.04562899999999814, + "pred": 0.2423920000000095, + "pred_pstep": 0.008245999999985543, + "pred_dstep": 0.010088000000010311, + "corr": 0.03929399999998395, + "corr_pstep": 0.006414000000020792, + "corr_dstep": 0.008635999999988542, + "pchol": 0.011526000000003478, + "dchol": 0.004795000000001437, + "misc": 0.04413099999999304 + }, + "resid": [], + "reldist": [], + "normX": 1.2474773406061108, + "normy": 1399513694585.779, + "normZ": 4572511068942.807, + "normb": 2.3402238618977056, + "maxb": 1.77, + "normC": 3, + "maxC": 2, + "normA": 107690.33618066367, + "msg1": [], + "msg2": "stop: relative gap < infeasibility", + "msg3": [], + "model": 1 + } + } + }, + "matlab_version": "24.1.0.2537033 (R2024a)", + "solver_backend": "sdpt3", + "execution_environment": "matlab", + "original_status": { + "termcode": -1, + "iter": 35, + "full_info": { + "dimacs": [ + 6.550530385058028e-11, + 0, + 0.000356046358655608, + 0, + 0.0002818675926875762, + 0.00030324665587334935 + ], + "termcode": -1, + "iter": 35, + "obj": [ + 1.3052543141507689, + 1.304236915547027 + ], + "gap": 0.0010945661448100402, + "relgap": 0.00030324665587334935, + "pinfeas": 4.9544143918568074e-11, + "dinfeas": 0.00023736423910373865, + "cputime": 0.4196329999999975, + "time": { + "preproc": 0.04562899999999814, + "pred": 0.2423920000000095, + "pred_pstep": 0.008245999999985543, + "pred_dstep": 0.010088000000010311, + "corr": 0.03929399999998395, + "corr_pstep": 0.006414000000020792, + "corr_dstep": 0.008635999999988542, + "pchol": 0.011526000000003478, + "dchol": 0.004795000000001437, + "misc": 0.04413099999999304 + }, + "resid": [], + "reldist": [], + "normX": 1.2474773406061108, + "normy": 1399513694585.779, + "normZ": 4572511068942.807, + "normb": 2.3402238618977056, + "maxb": 1.77, + "normC": 3, + "maxC": 2, + "normA": 107690.33618066367, + "msg1": [], + "msg2": "stop: relative gap < infeasibility", + "msg3": [], + "model": 1 + } + }, + "problem_class": "LP" + } } ] } \ No newline at end of file diff --git a/docs/pages/data/benchmark_results_latest.csv b/docs/pages/data/benchmark_results_latest.csv index 79a9447..f539820 100644 --- a/docs/pages/data/benchmark_results_latest.csv +++ b/docs/pages/data/benchmark_results_latest.csv @@ -109,7 +109,7 @@ id,solver_name,solver_version,problem_library,problem_name,problem_type,environm 1596,matlab_sdpt3,unknown,DIMACS,hinf13,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""96ca043787ef8c38515cfa8d108d16b61b823e04""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752926592.0}",96ca043787ef8c38515cfa8d108d16b61b823e04,2025-07-19T13:59:59,,ERROR,,,,,,,"{""error_message"": ""MATLAB execution failed (code 1): Error: K.l (linear variables) must be a non-negative integer; Original error: K.l (linear variables) must be a non-negative integer"", ""problem_class"": ""SDP""}" 1470,matlab_sedumi,unknown,DIMACS,hinf13,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""96ca043787ef8c38515cfa8d108d16b61b823e04""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752926592.0}",96ca043787ef8c38515cfa8d108d16b61b823e04,2025-07-19T12:38:29,,ERROR,,,,,,,"{""error_message"": ""MATLAB execution failed (code 1): Error: K.l (linear variables) must be a non-negative integer; Original error: K.l (linear variables) must be a non-negative integer"", ""problem_class"": ""SDP""}" 456,scipy_linprog,scipy-1.15.3,DIMACS,hinf13,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""443b599dca6666ab5976e2cf184c9398d48cda2b""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752416768.0}",443b599dca6666ab5976e2cf184c9398d48cda2b,2025-07-13T15:57:04,,UNSUPPORTED,,,,,,,"{""reason"": ""Solver does not support SDP problems"", ""problem_type"": ""SDP"", ""problem_class"": ""SDP""}" -1941,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-03T14:59:51,1.4263319969177246,OPTIMAL (INACCURATE),5.966248462567837,5.966249544813763,-1.0822459266535134e-06,9.701486038460028e-07,0.0,38,"{""solver_solve_time"": 1.422955625, ""problem_class"": ""SDP""}" +2446,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""c86c9ed6647b973c19d8b4a125bc8af3f2b1bee7""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1754399488.0}",c86c9ed6647b973c19d8b4a125bc8af3f2b1bee7,2025-08-16T06:14:56,1.3872320652008057,OPTIMAL (INACCURATE),5.966248462567837,5.966249544813763,-1.0822459266535134e-06,9.701486038460028e-07,0.0,38,"{""solver_solve_time"": 1.381957125, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 5.966249544813763, ""solver_stats"": {""solve_time"": 1.381957125, ""num_iters"": 38, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""SDP""}" 1942,cvxpy_cvxopt,unknown,DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-03T14:59:52,0.5794229507446289,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""SDP""}" 1804,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""0d9be48d5161918e56908f73cddd63d9b51ecd84""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752926592.0}",0d9be48d5161918e56908f73cddd63d9b51ecd84,2025-07-22T14:48:52,,UNSUPPORTED,,,,,,,"{""reason"": ""Solver does not support SDP problems"", ""problem_type"": ""SDP"", ""problem_class"": ""SDP""}" 394,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""443b599dca6666ab5976e2cf184c9398d48cda2b""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752416768.0}",443b599dca6666ab5976e2cf184c9398d48cda2b,2025-07-13T14:53:20,,UNSUPPORTED,,,,,,,"{""reason"": ""Solver does not support SDP problems"", ""problem_type"": ""SDP"", ""problem_class"": ""SDP""}" @@ -117,8 +117,8 @@ id,solver_name,solver_version,problem_library,problem_name,problem_type,environm 1805,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""0d9be48d5161918e56908f73cddd63d9b51ecd84""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752926592.0}",0d9be48d5161918e56908f73cddd63d9b51ecd84,2025-07-22T14:48:52,,UNSUPPORTED,,,,,,,"{""reason"": ""Solver does not support SDP problems"", ""problem_type"": ""SDP"", ""problem_class"": ""SDP""}" 1943,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-03T15:00:11,18.53073477745056,OPTIMAL (INACCURATE),5.942591741517748,5.94744385187505,-0.004852110357302486,1.128928529831279e-06,0.0,100000,"{""solver_solve_time"": 18.527219582999997, ""problem_class"": ""SDP""}" 1940,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-03T14:59:49,0.1397390365600586,OPTIMAL (INACCURATE),5.9713171314052325,5.976935592929294,-0.0056184615240617575,1.08915726239491e-07,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""problem_class"": ""SDP""}" -1594,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""96ca043787ef8c38515cfa8d108d16b61b823e04""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752926592.0}",96ca043787ef8c38515cfa8d108d16b61b823e04,2025-07-19T13:59:49,0.9657167916666667,UNKNOWN,5.992654461591593,5.981017465497352,0.01163699609424107,2.6102968408925996e-08,0.0,27,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""unknown"", ""solve_time"": 0.9657167916666667, ""setup_time"": [], ""iterations"": 27, ""primal_objective_value"": 5.992654461591593, ""dual_objective_value"": 5.981017465497352, ""duality_gap"": 0.01163699609424107, ""primal_infeasibility"": 2.6102968408925996e-08, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": """", ""error_message"": """", ""timestamp"": ""2025-07-19 22:59:47"", ""matlab_version"": ""24.1.0.2537033 (R2024a)""}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""problem_class"": ""SDP""}" -1468,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""96ca043787ef8c38515cfa8d108d16b61b823e04""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752926592.0}",96ca043787ef8c38515cfa8d108d16b61b823e04,2025-07-19T12:38:19,0.5304792916666666,NUM_ERROR,5.981957450464189,5.982166011101507,0.00020856063731766739,7.963841922701557e-09,0.0,34,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""num_error"", ""solve_time"": 0.5304792916666666, ""setup_time"": [], ""iterations"": 34, ""primal_objective_value"": 5.981957450464189, ""dual_objective_value"": 5.982166011101507, ""duality_gap"": 0.00020856063731766739, ""primal_infeasibility"": 7.963841922701557e-09, ""dual_infeasibility"": 0, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": """", ""error_message"": """", ""timestamp"": ""2025-07-19 21:38:16"", ""matlab_version"": ""24.1.0.2537033 (R2024a)""}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""problem_class"": ""SDP""}" +2445,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""48ce3d614c32cc7a47885e2ffd2fce2464568b09""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1754399488.0}",48ce3d614c32cc7a47885e2ffd2fce2464568b09,2025-08-16T06:00:12,0.94523225,STALLED,5.992654461591593,5.981017465497352,0.01163699609424107,2.6102968408925996e-08,0.0,27,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""stalled"", ""solve_time"": 0.94523225, ""setup_time"": [], ""iterations"": 27, ""primal_objective_value"": 5.992654461591593, ""dual_objective_value"": 5.981017465497352, ""duality_gap"": 0.01163699609424107, ""primal_infeasibility"": 2.6102968408925996e-08, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Poor progress in relative gap or infeasibility"", ""error_message"": """", ""timestamp"": ""2025-08-16 15:00:10"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -5, ""iter"": 27, ""full_info"": {""dimacs"": [3.333858374770575e-08, 0, 1.3546662729669283e-07, 0, 0.000896970122232172, 0.0018471755406068739], ""termcode"": -5, ""iter"": 27, ""obj"": [5.992654461591593, 5.981017465497352], ""gap"": 0.023964649455576748, ""relgap"": 0.0018471755406068739, ""pinfeas"": 2.6102968386966885e-08, ""dinfeas"": 3.422362447138944e-08, ""cputime"": 0.7644599999999997, ""time"": {""preproc"": 0.0656769999999991, ""pred"": 0.3865460000000027, ""pred_pstep"": 0.17908300000000743, ""pred_dstep"": 0.012361999999990658, ""corr"": 0.057482000000000255, ""corr_pstep"": 0.006302000000001584, ""corr_dstep"": 0.008536999999995132, ""pchol"": 0.009756000000002985, ""dchol"": 0.004663000000004303, ""misc"": 0.03494099999999456}, ""resid"": [], ""reldist"": [], ""normX"": 0.9993200524453261, ""normy"": 400356.23085795133, ""normZ"": 1810749.6929170382, ""normb"": 2.5543902467990307, ""maxb"": 2.000000010941081, ""normC"": 189.9973544788392, ""maxC"": 48, ""normA"": 25.73863375370596, ""msg1"": ""linsysolve: Schur complement matrix not positive definite"", ""msg2"": ""stop: steps too short consecutively"", ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -5, ""iter"": 27, ""full_info"": {""dimacs"": [3.333858374770575e-08, 0, 1.3546662729669283e-07, 0, 0.000896970122232172, 0.0018471755406068739], ""termcode"": -5, ""iter"": 27, ""obj"": [5.992654461591593, 5.981017465497352], ""gap"": 0.023964649455576748, ""relgap"": 0.0018471755406068739, ""pinfeas"": 2.6102968386966885e-08, ""dinfeas"": 3.422362447138944e-08, ""cputime"": 0.7644599999999997, ""time"": {""preproc"": 0.0656769999999991, ""pred"": 0.3865460000000027, ""pred_pstep"": 0.17908300000000743, ""pred_dstep"": 0.012361999999990658, ""corr"": 0.057482000000000255, ""corr_pstep"": 0.006302000000001584, ""corr_dstep"": 0.008536999999995132, ""pchol"": 0.009756000000002985, ""dchol"": 0.004663000000004303, ""misc"": 0.03494099999999456}, ""resid"": [], ""reldist"": [], ""normX"": 0.9993200524453261, ""normy"": 400356.23085795133, ""normZ"": 1810749.6929170382, ""normb"": 2.5543902467990307, ""maxb"": 2.000000010941081, ""normC"": 189.9973544788392, ""maxC"": 48, ""normA"": 25.73863375370596, ""msg1"": ""linsysolve: Schur complement matrix not positive definite"", ""msg2"": ""stop: steps too short consecutively"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""SDP""}" +2444,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""48ce3d614c32cc7a47885e2ffd2fce2464568b09""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1754399488.0}",48ce3d614c32cc7a47885e2ffd2fce2464568b09,2025-08-16T05:59:16,0.5855160416666667,OPTIMAL (INACCURATE),5.981957450464189,5.982166011101507,0.00020856063731766739,7.963841922701557e-09,0.0,34,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal (inaccurate)"", ""solve_time"": 0.5855160416666667, ""setup_time"": [], ""iterations"": 34, ""primal_objective_value"": 5.981957450464189, ""dual_objective_value"": 5.982166011101507, ""duality_gap"": 0.00020856063731766739, ""primal_infeasibility"": 7.963841922701557e-09, ""dual_infeasibility"": 0, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Numerical problems warning (low accuracy)"", ""error_message"": """", ""timestamp"": ""2025-08-16 14:59:13"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""iter"": 34, ""feasratio"": 0.4160886713759981, ""full_info"": {""iter"": 34, ""feasratio"": 0.4160886713759981, ""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""r0"": 1.0167780918781272e-08, ""timing"": [0.07029734551906586, 0.48249587416648865, 0.003600865602493286], ""wallsec"": 0.5563940852880478, ""cpusec"": 2.47}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""iter"": 34, ""feasratio"": 0.4160886713759981, ""full_info"": {""iter"": 34, ""feasratio"": 0.4160886713759981, ""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""r0"": 1.0167780918781272e-08, ""timing"": [0.07029734551906586, 0.48249587416648865, 0.003600865602493286], ""wallsec"": 0.5563940852880478, ""cpusec"": 2.47}}, ""problem_class"": ""SDP""}" 399,scipy_linprog,scipy-1.15.3,DIMACS,minphase,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""443b599dca6666ab5976e2cf184c9398d48cda2b""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752416768.0}",443b599dca6666ab5976e2cf184c9398d48cda2b,2025-07-13T14:53:39,,UNSUPPORTED,,,,,,,"{""reason"": ""Solver does not support SDP problems"", ""problem_type"": ""SDP"", ""problem_class"": ""SDP""}" 1929,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,DIMACS,nb,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-03T14:53:45,13.879996299743652,OPTIMAL,-0.05070309464830916,-0.05070309464849496,1.8580276206492385e-13,7.801537245867477e-11,1.057716256457834e-13,21,"{""solver_solve_time"": 0.560254416, ""problem_class"": ""SOCP""}" 1930,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,DIMACS,nb,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-03T14:54:00,14.256758213043213,OPTIMAL,-0.05070309466231132,-0.05070309469591302,3.360169781307931e-11,1.5016518474646274e-08,1.6949506707727528e-11,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""problem_class"": ""SOCP""}" @@ -129,8 +129,8 @@ id,solver_name,solver_version,problem_library,problem_name,problem_type,environm 1931,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,DIMACS,nb,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-03T14:54:16,15.138136148452759,OPTIMAL,-0.050702584699806943,-0.05070061603883091,-1.9686609760358187e-06,2.472512073576291e-05,1.3696595465415478e-05,5425,"{""solver_solve_time"": 1.636159833, ""problem_class"": ""SOCP""}" 1928,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,DIMACS,nb,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-03T14:53:31,28.02113676071167,OPTIMAL (INACCURATE),-0.002033656695857644,-1.8772174263594055,1.8751837696635478,0.16647016188566816,3.539291082432821e-11,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""problem_class"": ""SOCP""}" 1584,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),DIMACS,nb,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""96ca043787ef8c38515cfa8d108d16b61b823e04""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752926592.0}",96ca043787ef8c38515cfa8d108d16b61b823e04,2025-07-19T13:58:40,0.96570575,OPTIMAL,-0.05070308578560933,-0.050703094832485564,9.046876234264367e-09,1.59782982293915e-10,1.4016403840157828e-09,25,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.96570575, ""setup_time"": [], ""iterations"": 25, ""primal_objective_value"": -0.05070308578560933, ""dual_objective_value"": -0.050703094832485564, ""duality_gap"": 9.046876234264367e-09, ""primal_infeasibility"": 1.59782982293915e-10, ""dual_infeasibility"": 1.4016403840157828e-09, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": """", ""error_message"": """", ""timestamp"": ""2025-07-19 22:58:37"", ""matlab_version"": ""24.1.0.2537033 (R2024a)""}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""problem_class"": ""SOCP""}" -1452,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),DIMACS,nb,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""96ca043787ef8c38515cfa8d108d16b61b823e04""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752416768.0}",96ca043787ef8c38515cfa8d108d16b61b823e04,2025-07-19T11:10:47,0.5915824583333333,OPTIMAL,-0.05070309464513528,-0.05070309464949991,4.364626715602782e-12,2.6686184534778507e-11,1.8115531992636216e-11,20,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.5915824583333333, ""setup_time"": [], ""iterations"": 20, ""primal_objective_value"": -0.05070309464513528, ""dual_objective_value"": -0.05070309464949991, ""duality_gap"": 4.364626715602782e-12, ""primal_infeasibility"": 2.6686184534778507e-11, ""dual_infeasibility"": 1.8115531992636216e-11, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": """", ""error_message"": """", ""timestamp"": ""2025-07-19 20:10:44"", ""matlab_version"": ""24.1.0.2537033 (R2024a)""}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""problem_class"": ""SOCP""}" -2243,scipy_linprog,scipy-1.15.3,DIMACS,nb,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-04T15:29:58,,UNSUPPORTED,,,,,,,"{""reason"": ""Solver does not support SOCP problems"", ""problem_type"": ""SOCP"", ""problem_class"": ""SOCP""}" +2443,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),DIMACS,nb,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""48ce3d614c32cc7a47885e2ffd2fce2464568b09""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1754399488.0}",48ce3d614c32cc7a47885e2ffd2fce2464568b09,2025-08-16T05:58:35,0.5131069583333333,OPTIMAL,-0.05070309464513528,-0.05070309464949991,4.364626715602782e-12,2.6686184534778507e-11,1.8115531992636216e-11,20,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.5131069583333333, ""setup_time"": [], ""iterations"": 20, ""primal_objective_value"": -0.05070309464513528, ""dual_objective_value"": -0.05070309464949991, ""duality_gap"": 4.364626715602782e-12, ""primal_infeasibility"": 2.6686184534778507e-11, ""dual_infeasibility"": 1.8115531992636216e-11, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2025-08-16 14:58:32"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 20, ""feasratio"": 0.9996612618764313, ""full_info"": {""iter"": 20, ""feasratio"": 0.9996612618764313, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 8.512303843886572e-11, ""timing"": [0.10178983211517334, 0.3682136535644531, 0.009796768426895142], ""wallsec"": 0.4798002541065216, ""cpusec"": 2.1599999999999997}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 20, ""feasratio"": 0.9996612618764313, ""full_info"": {""iter"": 20, ""feasratio"": 0.9996612618764313, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 8.512303843886572e-11, ""timing"": [0.10178983211517334, 0.3682136535644531, 0.009796768426895142], ""wallsec"": 0.4798002541065216, ""cpusec"": 2.1599999999999997}}, ""problem_class"": ""SOCP""}" +2447,scipy_linprog,scipy-1.15.3,DIMACS,nb,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""c86c9ed6647b973c19d8b4a125bc8af3f2b1bee7""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1754399488.0}",c86c9ed6647b973c19d8b4a125bc8af3f2b1bee7,2025-08-16T06:21:56,,UNSUPPORTED,,,,,,,"{""reason"": ""Solver does not support SOCP problems"", ""problem_type"": ""SOCP"", ""problem_class"": ""SOCP""}" 1933,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,DIMACS,nb_L1,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-03T14:55:08,16.364571809768677,OPTIMAL,-13.012270670036738,-13.012270672238593,2.20185469856915e-09,5.357543858712498e-15,1.1266917166933884e-12,17,"{""solver_solve_time"": 0.541514415, ""problem_class"": ""SOCP""}" 1934,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,DIMACS,nb_L1,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-03T14:55:26,17.51340913772583,OPTIMAL,-13.012270260650567,-13.012270457304474,1.9665390738055066e-07,7.285115451032123e-13,9.002595409515661e-11,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""problem_class"": ""SOCP""}" 2244,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,DIMACS,nb_L1,SOCP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-04T15:30:15,16.22143793106079,OPTIMAL,-13.012270674838557,-13.012270674894536,5.597833308002009e-11,9.914510380006027e-14,1.864666515247642e-13,19,"{""solver_solve_time"": 0.486653083, ""problem_class"": ""SOCP""}" @@ -373,6 +373,1040 @@ id,solver_name,solver_version,problem_library,problem_name,problem_type,environm 1820,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),DIMACS,truss8,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d31cb7532a216fdc91b3add7143ef51aa6679c9d""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752926592.0}",d31cb7532a216fdc91b3add7143ef51aa6679c9d,2025-07-22T15:31:53,0.8213070833333334,OPTIMAL,133.11458915883577,133.1145890906361,6.819968234594853e-08,2.2496379323625403e-10,0.0,16,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.8213070833333334, ""setup_time"": [], ""iterations"": 16, ""primal_objective_value"": 133.11458915883577, ""dual_objective_value"": 133.1145890906361, ""duality_gap"": 6.819968234594853e-08, ""primal_infeasibility"": 2.2496379323625403e-10, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": """", ""error_message"": """", ""timestamp"": ""2025-07-23 00:31:50"", ""matlab_version"": ""24.1.0.2537033 (R2024a)""}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""problem_class"": ""SDP""}" 1822,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 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""primal_infeasibility"": 7.429302853954885e-09, ""dual_infeasibility"": 2.294303437965876e-10, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": """", ""error_message"": """", ""timestamp"": ""2025-07-23 00:32:41"", ""matlab_version"": ""24.1.0.2537033 (R2024a)""}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""problem_class"": ""SDP""}" 649,scipy_linprog,scipy-1.15.3,DIMACS,truss8,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""443b599dca6666ab5976e2cf184c9398d48cda2b""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752416768.0}",443b599dca6666ab5976e2cf184c9398d48cda2b,2025-07-16T10:15:49,,UNSUPPORTED,,,,,,,"{""reason"": ""Solver does not support SDP problems"", ""problem_type"": ""SDP"", ""problem_class"": ""SDP""}" +2512,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,adlittle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 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""pres"": 1.366590685820627e-11, ""dres"": 1.0178274956228108e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.7527023787220923, ""gap"": 0.00028761825881902964, ""relgap"": 1.2754974866602971e-09, ""r0"": 1e-08, ""iter"": 12, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.000410624, ""tsetup"": 6.8791e-05, ""tsolve"": 0.000341833}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2519,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,adlittle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:26,0.003368854522705078,OPTIMAL,225494.96316238033,225494.9631623804,-5.820766091346741e-11,4.164263921072885e-17,6.470699855458698e-21,87,"{""solver_solve_time"": 0.0008263308554887772, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 225494.9631623804, ""solver_stats"": {""solve_time"": 0.0008263308554887772, ""num_iters"": 87, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2515,cvxpy_osqp,unknown,NETLIB,adlittle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:23,0.025571107864379883,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2518,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,adlittle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:25,0.00602412223815918,OPTIMAL,210179.8007999207,225494.9631623804,-15315.162362459698,0.10103857195375975,4.3140806698242205e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 225494.9631623804, ""solver_stats"": 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3.39880764e-11 2.83200000e+01\n 3.88709909e-10 3.03713639e-10 2.02222198e-11 1.01675774e-10\n 1.03914862e+03 2.08007114e+03 4.76572076e+02 7.39290208e+02\n 5.79182919e+02 8.23909585e+02 6.03359532e+02 1.28049815e+03\n 4.16165169e+02 1.33744954e+03 5.18025225e+02 1.68608071e+02\n 6.78629499e+02 1.16577903e+02 1.87245328e+02 5.73409603e+01\n 1.39797266e+02 5.97561029e-10 3.70830842e-06 5.57725351e+01\n 8.52016572e+01 1.85125574e-06 3.32196261e+01 2.51383712e+00\n 1.86501242e-06 2.59382849e+00 8.00019107e-02 8.29229035e-10\n 8.77266898e+01 1.52055619e+01 6.24160923e-09 9.94723373e-07\n 1.93920847e-09 2.16199568e+01 2.54156388e+01 2.34490534e+01\n 2.54956389e+01 1.32318305e-09 5.79717746e-07 4.03736642e+01\n 6.24150633e-09 6.82427645e-07 1.70677646e-09 4.29086873e-01\n 2.01438884e-07 1.36758118e-09 1.45000024e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": 35991767.41927606, ""dcost"": 35991767.41670629, ""pres"": 4.007855683493595e-11, ""dres"": 6.69772729258451e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 1.347461897267021, ""dinfres"": NaN, ""gap"": 0.0466458226660825, ""relgap"": 1.296013672405288e-09, ""r0"": 1e-08, ""iter"": 41, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.009422416, ""tsetup"": 0.000405375, ""tsolve"": 0.009017041}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2528,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,agg,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:31,0.005454063415527344,OPTIMAL,-35991767.286576495,-35991767.28657652,2.2351741790771484e-08,6.096687712299953e-17,7.020852169401375e-19,81,"{""solver_solve_time"": 0.0014771651476621628, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -35991767.28657652, ""solver_stats"": {""solve_time"": 0.0014771651476621628, ""num_iters"": 81, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2524,cvxpy_osqp,unknown,NETLIB,agg,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:29,0.16093897819519043,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2527,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,agg,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:31,0.017258882522583008,OPTIMAL,-35991767.28657652,-35991767.286576495,-2.2351741790771484e-08,0.7311903940243024,1.7361763453697193e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -35991767.286576495, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2522,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,agg,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:28,0.004291057586669922,UNBOUNDED,,,,,,0,"{""solver_solve_time"": 7.162499999999999e-05, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 7.162499999999999e-05, ""setup_time"": 0.0008546249999999999, ""num_iters"": 0, ""solver_name"": ""SCS"", 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1.49217104e-11 3.92556833e-11 2.37924452e-11 2.15528573e-11\n 2.37474477e-11 1.59228033e-11 8.98763718e-11 8.01455080e-11\n -8.10207138e-12 6.46083718e-11 4.38340722e-11 2.30466272e-11\n 4.55720754e-10 1.12409529e-11 1.18566005e-10 9.48768780e-11\n 6.04198771e-10 -4.06486336e-12 2.57188232e-10 3.02980561e-11\n 8.56928094e-10 5.73722494e-10 -3.26120975e-11 5.08985785e-11\n 3.03586840e-11 3.39162330e-11 -1.73114099e-11 -8.34620406e-11\n -9.96983607e-11 1.57687846e-11 1.10800677e-12 1.84273103e-11\n -1.30269859e-13 -3.87553278e-11 1.44666837e-11 6.39819050e-12\n 7.74430242e-12 1.83915187e-11 7.57121753e-12 2.61525854e-11\n 2.69879307e-12 3.71542941e-12 3.27529102e-12 1.47587195e-11\n 1.12657649e-11 3.13884349e-11 2.18446997e-12 1.59656369e-11\n 1.81305133e-11 8.52179635e-12 7.54862193e-12 -6.32708508e-12\n 2.66048430e-12 1.51687289e-11 -7.32182018e-12 9.63022777e-13\n 8.38632103e-12 1.54695197e-11 2.56486385e-11 1.09829753e-11\n 6.84212684e-13 2.68396816e-13 -3.09730209e-12 3.37570680e-11\n 5.80185044e-12 8.24486648e-12 4.08453240e-11 8.48748663e-12\n 1.62836158e-11 1.22245858e-11 7.87762296e-12 8.66665103e-11\n 8.06710822e-11 -4.61284657e-12 6.65513944e-11 4.39002295e-11\n 2.76446728e-11 4.43050353e-10 1.22704826e-11 1.11221363e-10\n 1.12973460e-10 5.42812197e-10 4.63912799e-12 2.41269540e-10\n 2.99306168e-11 8.11269225e-10 5.37507281e-10 -2.18192315e-11\n 5.02713116e-11 2.98565656e-11 -4.16059932e-11 -2.19241530e-11\n -5.61201185e-11 -6.59751418e-11 1.05303874e-12 6.44631638e-12\n 1.78065345e-11 7.54033125e-12 -2.94284737e-11 1.38480389e-11\n 8.31507463e-12 7.39201586e-12 2.46586206e-11 1.40439046e-11\n 2.63545970e-11 4.51972992e-12 6.30403607e-12 6.89378066e-12\n 1.94272943e-11 7.37662472e-12 1.30714215e-11 2.20583289e-12\n 5.21971646e-12 1.15326560e-11 -9.18485833e-13 7.03137915e-12\n -1.87904248e-11 1.76304962e-12 2.13797730e-12 -1.29393320e-11\n -1.15954160e-11 -9.90834536e-13 1.30546421e-11 1.57438119e-11\n 7.64286642e-12 -4.10693003e-12 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nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan 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""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:30,0.040786027908325195,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. 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1.67491257e+03 5.39235755e+03\n 1.84967616e+02 5.27123662e+02 5.29951616e+02 1.00118346e+03\n 9.48462765e+02 7.63000677e+01 4.89332711e+02 2.01088758e+03\n 5.10333467e+02 1.16110918e+03 1.99361457e+03 1.35610830e+03\n 2.74446286e+03 1.00803195e+03 1.31908685e+02 6.55853862e+02\n 9.55654244e+02 9.84692803e+02 2.99293796e+02 8.87558487e+02\n 1.37622879e+03 1.35634087e+03 7.50042283e+02 6.31233335e+02\n 6.02191318e+02 6.41294819e+02 1.87425444e+03 5.20781816e+02\n 6.98542006e+02 1.76189483e+03 1.08771540e+03 9.91117261e+02\n 1.08731724e+03 7.38007078e+02 4.44516800e+03 3.75432630e+03\n 6.48845476e+02 3.44527244e+03 2.08573308e+03 2.01754493e+04\n 9.95819636e+02 5.22163440e+03 2.11501359e+03 1.94566987e+04\n 2.04974007e+03 1.01498481e+04 1.34080470e+03 3.54731058e+04\n 2.31966589e+04 1.61590455e+03 2.34725425e+03 1.42698166e+03\n 4.43765222e+03 2.92391213e+02 6.76138214e+01 9.39090095e-07\n 8.39173040e+02 5.31564041e+02 8.22497030e+02 7.34974199e+02\n 7.16641148e+01 5.69168599e+02 5.29894406e+02 4.25761920e+02\n 1.39020916e+03 1.69445537e+03 1.23127853e+03 3.83596530e+02\n 4.36452644e+02 3.95965800e+02 1.13245336e+03 1.01449429e+03\n 1.68738222e+03 9.43002432e+01 1.20364583e+03 2.40390079e+03\n 8.40440206e+02 2.92183849e+02 5.28804157e+01 5.72834897e+02\n 7.91944790e+02 8.41244076e+02 2.35589721e+02 7.37411999e+02\n 1.20884074e+03 1.16575119e+03 6.65926987e+02 5.40878592e+02\n 5.08263209e+02 5.49764434e+02 1.66512675e+03 4.42119173e+02\n 5.92335891e+02 1.56649551e+03 9.65060682e+02 8.80158662e+02\n 9.65084835e+02 6.54976262e+02 3.81294418e+03 3.25612299e+03\n 5.00911552e+02 3.05063503e+03 1.72577247e+03 1.98664192e+03\n 1.78612937e+04 4.26998048e+02 5.16604100e+03 3.47454997e+03\n 2.20973507e+04 6.55250667e-08 1.06616542e+04 1.19263850e+03\n 3.82571651e+04 2.46420489e+04 6.55062894e-08 2.55191136e+03\n 1.53217330e+03 6.23974600e+03 5.19978999e+02 3.66816289e+02\n 3.38267502e+02 1.03995800e+03 5.66217290e+02 8.71489655e+02\n 7.77158461e+02 8.57061969e+01 5.96965186e+02 5.57669393e+02\n 4.58222664e+02 1.46109038e+03 1.85838521e+03 1.33967437e+03\n 4.04211067e+02 4.59307254e+02 4.72671028e+02 1.19075847e+03\n 1.11672551e+03 1.83781110e+03 1.04099987e+02 1.30437287e+03\n 2.64315091e+03 9.30908018e+02 3.17463344e+02 5.75837334e+01\n 6.34908660e+02 8.55204125e+02 9.41378705e+02 2.52285907e+02\n 8.12143924e+02 1.32827987e+03 1.26305631e+03 7.21795771e+02\n 5.98797923e+02 5.64046946e+02 6.08660592e+02 1.80285214e+03\n 4.89477782e+02 6.43166692e+02 1.69810919e+03 1.04872771e+03\n 9.53970069e+02 1.04787030e+03 7.10803435e+02 3.91291522e+03\n 3.40477799e+03 4.49400255e+02 3.18909607e+03 1.81109045e+03\n 8.91638975e+02 1.81642325e+04 1.37585361e+03 4.98067100e+03\n 4.45727844e+03 2.36253769e+04 3.90171252e+03 1.08944842e+04\n 1.16746904e+03 3.85050000e+04 2.57820795e+04 2.96450457e+03\n 2.55746692e+03 1.55600000e+03 6.23974600e+03 5.19978999e+02\n 3.84351428e+02 3.62042927e+02 1.03995800e+03 6.16704415e+02\n 9.18891138e+02 8.38022251e+02 2.05156052e+02 6.25785982e+02\n 5.97351413e+02 4.84905050e+02 1.54812862e+03 2.04081610e+03\n 1.39913479e+03 4.38586891e+02 4.91193874e+02 4.93982927e+02\n 1.26625249e+03 1.14517457e+03 1.91415830e+03 1.06815840e+02\n 1.30845605e+03 2.70359886e+03 9.92395144e+02 3.18067526e+02\n 1.09178939e+02 6.55351569e+02 8.99429743e+02 9.93161461e+02\n 2.75878158e+02 8.64307850e+02 1.35546479e+03 1.29500334e+03\n 7.23343714e+02 6.26267368e+02 5.97583059e+02 6.36486226e+02\n 1.80635505e+03 5.14754769e+02 6.68809034e+02 1.69806813e+03\n 1.05346530e+03 9.58364407e+02 1.05245060e+03 7.15221371e+02\n 4.05463003e+03 3.60240000e+03 7.06100000e+02 3.24395467e+03\n 1.89672009e+03 2.19928789e+03 2.02053626e+04 9.85169678e+02\n 5.70272987e+03 5.47677943e+03 2.57018087e+04 2.14505847e+03\n 1.13549379e+04 1.30721700e+03 3.99880000e+04 2.59293705e+04\n 1.34169820e+03 2.65968912e+03 1.61500000e+03 6.47973800e+03\n 5.39977999e+02 3.86536149e+02 3.61468574e+02 1.07995700e+03\n 6.13653513e+02 9.08033098e+02 8.36143781e+02 4.83474404e+01\n 6.25942438e+02 5.85508338e+02 4.71031921e+02 1.55165632e+03\n 1.91821756e+03 1.40325956e+03 4.22258757e+02 4.86955450e+02\n 5.19637991e+02 1.25960522e+03 1.17451227e+03 2.03804054e+03\n 1.10585808e+02 1.32279241e+03 2.74301992e+03 1.05744491e+03\n 3.30112190e+02 1.54138421e+02 6.65548491e+02 9.71913146e+02\n 1.00150520e+03 3.01791141e+02 9.24523647e+02 1.38862964e+03\n 1.37008352e+03 7.35908301e+02 6.41290297e+02 6.19787872e+02\n 6.41463592e+02 1.85555886e+03 5.43649136e+02 7.04808387e+02\n 1.76311558e+03 1.05360433e+03 9.81775491e+02 1.06249968e+03\n 7.22433633e+02 4.02461827e+03 3.60110000e+03 6.94400000e+02\n 3.46776911e+03 1.89901401e+03 1.52560535e+03 2.18578536e+04\n 1.32837651e+03 5.59043357e+03 5.09630285e+03 2.39979967e+04\n 3.84964883e+03 1.06393311e+04 1.48121900e+03 3.69830000e+04\n 2.43390722e+04 2.75570617e+03 2.45714185e+03 1.49200000e+03\n 1.99992000e+03 1.66659999e+02 2.35202323e+01 2.34658694e-09\n 3.33320000e+02 5.65710662e+02 8.66334650e+02 7.55587656e+02\n 3.79757842e-10 5.97567856e+02 5.45395542e+02 4.49617735e+02\n 1.43815019e+03 1.81989653e+03 1.33938150e+03 3.91199679e+02\n 4.47996251e+02 4.98132450e+02 1.17003088e+03 1.08365816e+03\n 1.88636733e+03 1.01788026e+02 1.20100890e+03 2.53274354e+03\n 9.78816114e+02 3.05515210e+02 1.42847978e+02 6.15688434e+02\n 8.99618345e+02 9.20230391e+02 2.64081662e+02 8.56146721e+02\n 1.28463620e+03 1.26870306e+03 6.75110332e+02 5.87947925e+02\n 5.65601831e+02 5.84884020e+02 1.67977873e+03 5.03034332e+02\n 6.38758470e+02 1.63251329e+03 9.63451011e+02 8.79325288e+02\n 9.65967571e+02 6.43822176e+02 3.84660409e+03 3.43440000e+03\n 6.40500000e+02 3.42399597e+03 1.81439900e+03 1.89520000e+03\n 8.43971903e-07 1.01752548e+02 1.43329153e-08 2.96321460e+05\n 1.40000000e+04 7.00000000e+03 1.44533828e-04 2.95553438e-04\n 1.14015805e-05 6.58910759e+04 3.05573715e+04 4.02138705e+04\n 1.44463407e+04 2.22716581e+04 6.96726409e-07 7.12564627e-07\n 2.37188304e-07 6.85465725e+02 2.12533709e-08 4.93302396e+02\n 4.00537403e-08 3.99043187e-08 3.26219197e-06 3.20818489e-06\n 5.08493652e-06 3.96724064e-08 3.96843263e-08 5.00273188e-06\n 4.99328768e-06 8.79851400e-06 7.35581385e-07 7.71889827e-07\n 7.18823987e-07 2.47047280e-07 2.06349208e+05 8.58008497e-08\n 4.76990097e-06 4.71960639e-06 3.44559469e-06 3.41643267e-06\n 4.20714118e-06 6.30745132e-06 6.29728946e-06 5.26679887e-06\n 5.26060858e-06 6.21959379e-06 3.98566122e-08 3.99476987e-08\n 5.31408848e-08 1.35564352e-08 5.92316980e-06 6.91372130e-07\n 2.58702388e-07 2.58995117e-07 2.28831720e-07 2.24225628e-07\n 4.40628481e-06 3.37170170e-07 3.36066943e-07 2.85044741e-07\n 2.83188088e-07 6.56564411e-06 2.89404287e+04 5.70940000e+02\n 1.43310724e-07 2.00000000e+03 3.19987994e-07 3.70508326e-08\n 1.33000000e+04 6.69998999e+03 1.04377487e-06 1.04354417e-06\n 2.36200651e-07 1.33300000e+05 6.66999300e+04 2.00000000e+05\n 1.00000000e+05 3.51733246e-07]"", ""s"": ""[7.50320837e-11 5.39999996e-02 5.09999996e-02 4.89999996e-02\n 4.59999995e-02 1.46380382e-10 5.10347293e-11 2.68834068e-11\n 2.66177197e-11 9.42067267e-11 2.17074960e+00 5.38823098e-02\n 4.29999995e-02 4.10000006e-02 3.57658254e+01 1.33865651e-11\n 2.56173652e-11 4.80924371e-11 1.77153469e-09 3.39388827e+00\n 5.04386484e-11 1.96356255e-11 1.60007586e-11 1.60571671e-11\n 6.80226495e+01 8.20606737e-11 2.60585653e-10 2.57166089e-10\n 2.53192604e-10 1.14567789e-09 4.28177071e-10 5.51735415e-10\n 2.91613531e+01 3.64553247e-11 3.64555016e-12 2.25054219e-11\n 5.59903673e-12 1.06913206e-11 4.30054904e-11 3.00290541e-12\n 2.23855713e-11 5.06418920e-12 1.05520279e-11 4.67769790e-10\n 2.87347861e-10 3.02059226e-10 3.53057203e-10 4.64084437e-10\n 2.84031449e-10 2.98753885e-10 3.45690011e-10 8.89172277e+01\n 3.20649574e-11 7.86541819e-11 7.64565687e-11 3.41812017e-01\n 8.89352277e+01 1.79999982e-02 1.69999979e-02 1.59999979e-02\n 3.56812017e-01 8.89352277e+01 1.79999981e-02 1.69999978e-02\n 1.59999978e-02 3.46147027e-01 8.89172277e+01 6.21800672e-11\n 1.47659048e-10 1.41783712e-10 3.31147027e-01 1.89999988e-02\n 1.80000001e-02 1.69999982e-02 1.59999982e-02 1.49999980e-02\n 2.31271234e-09 2.81717515e-10 2.89490440e-10 2.85912642e-10\n 3.24228246e-10 1.89999993e-02 1.80000032e-02 1.69999987e-02\n 1.59999985e-02 1.49999982e-02 4.53476521e-09 8.10785032e-10\n 6.33552247e-10 6.05176251e-10 6.11800341e-10 5.74559766e-11\n 6.93186330e-11 6.93946385e-11 6.93546911e-11 6.81431991e-11\n 6.04748322e-11 7.23484454e-11 7.21175260e-11 7.22832052e-11\n 7.29760371e-11 1.28394787e-09 1.33886592e+01 5.19999988e-02\n 4.89999988e-02 1.28281202e+00 8.89722277e+01 8.81574678e-12\n 1.14046817e-11 1.12931416e-11 1.23681202e+00 8.89912277e+01\n 1.79999985e-02 1.79999981e-02 1.69999981e-02 1.25181202e+00\n 8.89912277e+01 1.79999983e-02 1.79999979e-02 1.69999979e-02\n 1.24114703e+00 3.80378730e-10 1.33886592e+01 5.19999986e-02\n 4.89999986e-02 1.27214703e+00 8.89722277e+01 1.82198521e-11\n 2.27207571e-11 2.22660395e-11 1.22614703e+00 1.13002305e-11\n 5.39999957e-02 5.19999990e-02 4.89999989e-02 8.23763835e-01\n 1.06011307e-01 4.73910418e-12 5.38751873e-12 5.71279542e-12\n 7.77763835e-01 1.25011307e-01 1.79999946e-02 1.69999980e-02\n 1.59999978e-02 7.92763835e-01 1.25011327e-01 1.79999897e-02\n 1.69999981e-02 1.59999979e-02 7.92763834e-01 2.08780439e-11\n 5.39999904e-02 5.19999988e-02 4.89999987e-02 8.23763834e-01\n 1.06011327e-01 9.66428167e-12 1.06237821e-11 1.13033921e-11\n 7.77763834e-01 1.28500953e-11 7.73434489e-12 1.09363633e-11\n 1.08976408e-11 1.07705414e-11 4.90323503e-11 9.62686825e-03\n 2.59999992e-02 2.39999990e-02 2.29999991e-02 6.64111258e-10\n 1.14249862e-09 7.67933437e-10 1.25279736e-09 7.59559215e-09\n 8.01470927e-09 8.30005071e-09 8.96140738e-09 2.72860001e-10\n 6.52750474e-10 1.79913620e-09 8.42852184e-08 1.27031537e-09\n 2.22317048e-09 3.10934475e-09 8.54411841e-08 5.70516239e+01\n 5.06890598e-10 3.65891874e-10 3.18418269e-10 3.53173725e-10\n 1.27031537e-09 2.03785707e-09 1.71189966e-09 2.30879612e-09\n 3.94450571e-10 3.33541751e-09 3.24467342e-09 4.43167059e-09\n 1.48331917e+01 1.43114400e+04 1.67012314e-09 1.89302585e-09\n 2.31121336e-09 1.27031537e-09 1.43114400e+04 4.29117760e-09\n 4.15194858e-09 5.21889474e-09 1.27031537e-09 6.09837064e-09\n 5.63828118e-09 7.21485379e-09 1.62462624e+01 5.52631727e-09\n 7.40488942e-10 8.88042472e-10 1.12763538e-09 1.27031537e-09\n 2.35162519e-09 2.18912820e-09 3.30673043e-09 4.09307486e-08\n 9.42631199e-09 1.77048300e-09 2.01782676e-09 2.61654845e-09\n 1.27031537e-09 3.41016221e-09 3.39349643e-09 4.71782927e-09\n 8.00177148e-08 2.40265545e-09 2.91245900e-09 2.78317460e-09\n 2.86080222e-09 1.55140051e-08 7.09106646e-09 1.03843414e-08\n 1.36822283e+02 1.00220159e-09 2.26983514e+02 2.63737330e-11\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 7.08034008e+02 3.03709185e-09 1.00080000e+02 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 9.33250175e+01 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 8.81486446e+01 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2.07999997e-01\n 2.07999992e-01 1.18086241e-01 1.42100000e+00 1.44299999e+00\n 1.45400000e+00 4.18300000e+00 5.27768301e-12 1.28039640e+01\n 2.16000000e-01 2.16000000e-01 2.97000000e-01 2.97000000e-01\n 2.49000000e-01 1.66000000e-01 1.66000000e-01 1.98000000e-01\n 1.98000000e-01 1.68000000e-01 2.66560000e+01 2.70790000e+01\n 1.99955574e+01 7.84820000e+01 1.76000000e-01 1.51000000e+00\n 4.05400000e+00 4.05400000e+00 4.58476383e+00 4.58476383e+00\n 2.37000000e-01 3.11200000e+00 3.11200000e+00 3.71300000e+00\n 3.71300000e+00 1.59000000e-01 3.61689394e-11 1.81523830e-09\n 7.28644257e+00 5.26586550e-10 3.30100000e+00 2.83230000e+01\n 8.02770787e-11 1.62567816e-10 9.88236165e-01 9.88236165e-01\n 4.43500000e+00 8.46271291e-12 1.63062587e-11 5.94948679e-12\n 1.08466939e-11 2.98500000e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": 20239252.35635463, ""dcost"": 20239252.355922025, ""pres"": 5.924604219294979e-13, ""dres"": 2.128990086117784e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 3.206706190791011, ""dinfres"": NaN, ""gap"": 0.007209687389192023, ""relgap"": 3.562230097438585e-10, ""r0"": 1e-08, ""iter"": 21, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.018534332, ""tsetup"": 0.000601666, ""tsolve"": 0.017932666}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2537,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,agg2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:38,0.007158041000366211,OPTIMAL,-20239252.35597711,-20239252.355977125,1.4901161193847656e-08,3.594973103125786e-17,2.981215095370083e-20,203,"{""solver_solve_time"": 0.0027625393122434616, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -20239252.355977125, ""solver_stats"": {""solve_time"": 0.0027625393122434616, ""num_iters"": 203, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2533,cvxpy_osqp,unknown,NETLIB,agg2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:35,0.3975710868835449,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2536,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,agg2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:37,0.026875019073486328,OPTIMAL,-20239252.355977118,-20239252.355977125,7.450580596923828e-09,0.15937448841593893,5.783855239397532e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -20239252.355977125, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2531,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,agg2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:33,0.3360559940338135,OPTIMAL,-20130100.739042453,-20129971.157448627,-129.58159382641315,2.078320114534855e-06,2.100151322846947e-06,5575,"{""solver_solve_time"": 0.330643625, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -20129971.157448627, ""solver_stats"": {""solve_time"": 0.330643625, 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1.22065020e+01 7.89679324e+02\n 7.30958095e+02 5.61794794e+02 5.25661881e+02 2.65704591e+03\n 2.10507772e+03 2.71902872e+03 3.39590265e+03 2.92036856e+03\n 7.89679324e+02 2.23280113e+02 2.21722716e+02 2.13517501e+02\n 5.98550296e-08 3.28057484e+02 6.06412462e+02 3.87488874e+02\n 2.76737514e+01 2.62962755e-10 3.03635336e+02 3.38982150e+02\n 3.41071137e+02 7.89679324e+02 2.94194307e+02 5.19875597e+02\n 2.66005616e+03 1.01335413e+03 7.89679324e+02 1.18744113e+02\n 1.22583309e+02 1.19460391e+02 8.01384237e-08 1.83175504e+02\n 4.60032383e+02 2.53194986e+02 1.42561750e+01 2.65865471e-10\n 1.43557261e+02 1.57369639e+02 1.57329522e+02 7.89679324e+02\n 1.47445339e+02 2.39451957e+02 1.16203519e+03 4.42478946e+02\n 7.89679324e+02 3.02364686e+02 6.84324502e+02 4.88375810e+02\n 3.68663444e+02 2.96024615e+01 1.12010639e+02 1.00462702e+02\n 2.58658330e-08 1.23747639e+03 1.63011280e-08 4.01410262e+04\n 3.73469003e-08 3.73773448e-08 3.73609248e-08 3.72494988e-08\n 6.29374777e-09 3.55416000e+02 3.71406131e-08 3.70937528e-08\n 3.70612707e-08 3.70471637e-08 3.86551154e-08 3.69904262e-08\n 3.70025643e-08 3.69999465e-08 4.20154286e-08 3.30380367e-08\n 3.71938018e-08 3.70333290e-08 3.70174032e-08 3.70074928e-08\n 4.25756917e-08 3.26645784e-08 9.82209872e+04 1.12185815e+04\n 3.72140581e-08 3.72221435e-08 3.84819786e-08 3.59170010e-08\n 7.99213499e+04 3.35038140e-08 3.71941825e-08 3.71870009e-08\n 3.86018245e-08 3.57657192e-08 4.91698830e+04 5.71693187e+03\n 3.72147578e-08 3.72239033e-08 3.84688365e-08 3.59417534e-08\n 3.99158072e+04 3.35221281e-08 3.71968551e-08 3.71904320e-08\n 3.86077645e-08 3.57714635e-08 7.42447708e+04 2.59392060e-08\n 3.75165785e-08 3.75370909e-08 3.75242837e-08 3.74022164e-08\n 1.66351200e+03 3.72272429e-08 3.70074689e-08 3.51323907e-08\n 1.50396530e-07 2.17530168e-08 2.08567908e+04 1.04617249e+03\n 6.25538009e+03 3.76720877e+03 2.41167722e+04 2.66552692e+03\n 1.16232107e+04 1.29795702e+03 4.06340019e+04 2.63901689e+04\n 5.86795198e+03 2.28501357e+03 1.67934580e+03 5.55440624e+03\n 1.84967616e+02 5.27123662e+02 5.29951616e+02 1.01981600e+03\n 9.73721819e+02 4.39907247e+02 5.18706867e+02 2.33064352e+03\n 5.54812467e+02 1.17174287e+03 2.02779812e+03 1.35978996e+03\n 2.75640885e+03 1.02438320e+03 1.29843266e+02 6.61778797e+02\n 9.70167271e+02 9.99368390e+02 3.08579199e+02 8.84688542e+02\n 1.38332003e+03 1.35506233e+03 7.51261125e+02 6.30667715e+02\n 6.01362945e+02 6.48194091e+02 1.87857113e+03 5.37209614e+02\n 7.07420248e+02 1.76834758e+03 1.10699359e+03 1.01046024e+03\n 1.10724255e+03 7.57571503e+02 4.44516800e+03 3.75647886e+03\n 6.78622629e+02 3.44183027e+03 2.08573308e+03 1.87322412e+04\n 9.89506405e+02 5.22163440e+03 2.11506584e+03 1.93558840e+04\n 2.05060604e+03 1.00900598e+04 1.21758109e+03 3.59080037e+04\n 2.32520461e+04 1.61503858e+03 2.39424146e+03 1.47567683e+03\n 5.56420966e+03 2.92391212e+02 6.76138235e+01 3.44878738e-06\n 9.59961000e+02 5.71912465e+02 8.23029571e+02 7.95424410e+02\n 1.12521933e+02 5.69168599e+02 5.46036067e+02 4.25526515e+02\n 1.44750048e+03 1.72756607e+03 1.23767234e+03 3.96979791e+02\n 4.58060158e+02 4.20594610e+02 1.17422172e+03 1.05130421e+03\n 1.76193240e+03 1.10776405e+02 1.20557813e+03 2.47887727e+03\n 9.08095921e+02 2.96590086e+02 8.42018563e+01 5.99166903e+02\n 8.24489472e+02 9.04710658e+02 2.51999608e+02 7.83116390e+02\n 1.24409477e+03 1.18515136e+03 6.66582052e+02 5.70524314e+02\n 5.42695479e+02 5.81467210e+02 1.66729792e+03 4.76134449e+02\n 6.14392211e+02 1.56789310e+03 9.74130145e+02 8.93296876e+02\n 9.75826577e+02 6.66899792e+02 3.81294418e+03 3.29013751e+03\n 7.92133038e+02 2.99134574e+03 1.72508700e+03 1.98664192e+03\n 2.05025731e+04 4.35311499e+02 5.16604100e+03 3.47573419e+03\n 2.24271074e+04 2.25907038e-07 1.08857834e+04 1.36646901e+03\n 3.87667807e+04 2.47138672e+04 2.26073752e-07 2.59552610e+03\n 1.57500653e+03 6.23974600e+03 5.19978998e+02 3.65526467e+02\n 3.36781166e+02 1.03995800e+03 5.65152014e+02 8.70650340e+02\n 7.75441613e+02 7.62286786e+01 5.96965186e+02 5.56594684e+02\n 4.56877292e+02 1.45970889e+03 1.84910693e+03 1.33840121e+03\n 4.02971659e+02 4.58490970e+02 4.72150481e+02 1.18925488e+03\n 1.08807733e+03 1.85551178e+03 1.04275112e+02 1.30506914e+03\n 2.58228571e+03 9.14298756e+02 3.15460215e+02 8.20975358e+01\n 6.09902282e+02 8.85527950e+02 8.95191353e+02 2.70647460e+02\n 8.06930728e+02 1.29632487e+03 1.27823709e+03 7.21973620e+02\n 5.82812140e+02 5.49148678e+02 5.92240548e+02 1.80401500e+03\n 4.78061736e+02 6.52305127e+02 1.69358017e+03 1.04347111e+03\n 9.54984521e+02 1.04451503e+03 7.09755214e+02 3.91291522e+03\n 3.51136687e+03 1.10954149e+03 3.37406753e+03 1.81115900e+03\n 8.91638976e+02 1.61722325e+04 1.37556102e+03 4.98067100e+03\n 4.45420549e+03 2.34296412e+04 3.90004817e+03 1.07579566e+04\n 9.72469040e+02 3.76952656e+04 2.56607735e+04 2.96616892e+03\n 2.47157452e+03 1.47564173e+03 6.23974599e+03 5.19978998e+02\n 3.87211398e+02 3.65323502e+02 1.03995800e+03 6.12061207e+02\n 9.16267408e+02 8.30664416e+02 1.72606189e+02 6.25785982e+02\n 5.93339984e+02 4.81518749e+02 1.54197161e+03 2.01109603e+03\n 1.39473119e+03 4.34103988e+02 4.87891261e+02 4.91579957e+02\n 1.26011464e+03 1.14121996e+03 1.84407036e+03 9.41248220e+01\n 1.30845605e+03 2.70264713e+03 9.59208849e+02 3.14517290e+02\n 6.70527974e+01 6.56252295e+02 8.50125364e+02 9.85464001e+02\n 2.49237655e+02 8.39531600e+02 1.35592585e+03 1.26891410e+03\n 7.23343714e+02 6.22046728e+02 5.89381802e+02 6.29300746e+02\n 1.80635505e+03 4.98753458e+02 6.46537126e+02 1.69656898e+03\n 1.04721484e+03 9.49480700e+02 1.04504102e+03 7.07102441e+02\n 4.05463003e+03 3.50071693e+03 7.90193499e-08 3.12171467e+03\n 1.89733701e+03 2.19928789e+03 2.02072517e+04 9.84547082e+02\n 5.70459635e+03 5.47677944e+03 2.57002848e+04 2.14248944e+03\n 1.13537153e+04 1.30721700e+03 3.96376588e+04 2.59303154e+04\n 1.34426724e+03 2.65992283e+03 1.58087981e+03 6.47973799e+03\n 5.39977998e+02 3.86802480e+02 3.61812969e+02 1.07995700e+03\n 6.08481339e+02 9.07837490e+02 8.28355035e+02 4.05282093e+01\n 6.25942438e+02 5.83224553e+02 4.71031921e+02 1.54435786e+03\n 1.91209784e+03 1.40207321e+03 4.20249331e+02 4.84105165e+02\n 5.16526049e+02 1.25411804e+03 1.17412323e+03 2.04221712e+03\n 1.06744393e+02 1.32027265e+03 2.74061403e+03 1.06057604e+03\n 3.29213575e+02 1.61637122e+02 6.65143604e+02 9.76080844e+02\n 1.00102470e+03 3.03588885e+02 9.29960010e+02 1.38820182e+03\n 1.37472718e+03 7.34862696e+02 6.41921959e+02 6.21458118e+02\n 6.40760355e+02 1.85399161e+03 5.43476432e+02 7.06119456e+02\n 1.76311558e+03 1.04948818e+03 9.78039031e+02 1.05850725e+03\n 7.18671227e+02 4.02461827e+03 3.56027764e+03 4.19001366e+02\n 3.46788552e+03 1.89901401e+03 1.52560535e+03 2.18609319e+04\n 1.32913474e+03 5.59328995e+03 5.09630285e+03 2.39912837e+04\n 3.85324040e+03 1.06342907e+04 1.48121900e+03 3.69830000e+04\n 2.43384270e+04 2.75211460e+03 2.45722670e+03 1.49200000e+03\n 1.99992000e+03 1.66659998e+02 2.35202323e+01 8.18111881e-09\n 3.33320000e+02 5.65710662e+02 8.66334650e+02 7.55587656e+02\n 1.20023459e-09 5.97567856e+02 5.45395542e+02 4.49617735e+02\n 1.43815019e+03 1.81989653e+03 1.33938150e+03 3.91199679e+02\n 4.47996251e+02 4.98132450e+02 1.17003088e+03 1.08279524e+03\n 1.88807816e+03 1.01788026e+02 1.19709808e+03 2.52904388e+03\n 9.80136645e+02 3.05515210e+02 1.44090568e+02 6.15068213e+02\n 9.00665191e+02 9.18347136e+02 2.63220757e+02 8.57318808e+02\n 1.28380814e+03 1.26947236e+03 6.73725425e+02 5.87092549e+02\n 5.64973429e+02 5.83147588e+02 1.67578635e+03 5.03551954e+02\n 6.37907494e+02 1.63251329e+03 9.60153394e+02 8.76413137e+02\n 9.62870765e+02 6.40823083e+02 3.84660409e+03 3.43440000e+03\n 6.40500000e+02 3.42401956e+03 1.81439900e+03 1.89520000e+03\n 2.84722446e-06 1.01752548e+02 5.13421137e-08 2.96321460e+05\n 3.12947906e-08 3.17303498e-08 2.16850325e-07 2.18254374e-07\n 2.09146673e-05 3.16720770e-08 3.16404268e-08 2.22452740e-07\n 2.22257269e-07 5.81477462e+04 2.40358274e-06 2.54140709e-06\n 8.22926563e-07 8.79063622e-08 7.38356102e-08 4.93302396e+02\n 1.37955938e-07 1.38481396e-07 3.70000000e+03 1.89999000e+03\n 3.00000000e+04 1.38113821e-07 1.37708189e-07 2.00000000e+05\n 1.00000000e+05 1.78147746e+05 2.54808132e-06 2.50757284e-06\n 2.49137649e-06 8.58711078e-07 2.06349208e+05 3.01308279e-07\n 1.64332098e-05 1.62591796e-05 1.16534866e-05 1.20641437e-05\n 4.52054233e-05 2.17921938e-05 2.17302773e-05 1.82012208e-05\n 1.80800793e-05 6.09289014e+04 1.40169838e-07 1.42047083e-07\n 1.84764533e-07 4.70743970e-08 2.04314844e-05 2.39342441e-06\n 9.01359296e-07 9.00546470e-07 7.80248942e-07 7.52314821e-07\n 1.79114157e-05 1.16808755e-06 1.16580403e-06 9.87659208e-07\n 9.82730043e-07 2.90443727e-05 2.90348859e+04 5.70939999e+02\n 5.02103632e-07 2.00000000e+03 1.11600625e-06 1.28712270e-07\n 1.29333335e+04 6.51110121e+03 3.76923467e-06 3.77025477e-06\n 8.22451868e-07 1.33300000e+05 6.66999300e+04 2.00000000e+05\n 1.00000000e+05 1.22617166e-06]"", ""s"": ""[2.63629320e-10 5.39999986e-02 5.09999985e-02 4.89999985e-02\n 4.59999986e-02 5.21437839e-10 1.80775157e-10 9.41527982e-11\n 9.27591963e-11 3.34936351e-10 2.17074961e+00 5.38823086e-02\n 4.29999987e-02 4.10000031e-02 3.58084595e+01 4.63650159e-11\n 9.02039746e-11 1.66541514e-10 6.64753249e-09 3.43652240e+00\n 1.70938515e-10 6.83520330e-11 5.54391933e-11 5.58266619e-11\n 6.64325950e+01 2.95885333e-10 9.11099621e-10 9.26481219e-10\n 8.74002798e-10 2.28703794e-09 2.05127667e-09 1.91132042e-09\n 2.91784739e+01 1.26608033e-10 1.26675060e-11 7.80831501e-11\n 1.94717812e-11 3.70540775e-11 1.49920782e-10 1.04315268e-11\n 7.76445755e-11 1.76053332e-11 3.66561783e-11 1.62314388e-09\n 1.01187105e-09 1.05052426e-09 1.22484922e-09 1.61078380e-09\n 1.00035928e-09 1.03839966e-09 1.19955055e-09 2.70543677e-10\n 1.90341196e-10 2.91546421e-10 2.83024856e-10 1.51655002e-08\n 1.79999943e-02 1.79999942e-02 1.69999936e-02 1.59999937e-02\n 1.50000098e-02 1.79999947e-02 1.79999943e-02 1.69999941e-02\n 1.59999941e-02 1.50000149e-02 5.42863923e-10 3.79743345e-10\n 5.85320347e-10 5.70533416e-10 1.88178032e-08 1.89999994e-02\n 2.66825599e+00 1.69999938e-02 1.59999946e-02 1.49999943e-02\n 5.16021512e-09 2.65025599e+00 5.48179127e-10 1.07761434e-09\n 1.17084971e-09 1.90000118e-02 2.66825599e+00 1.69999948e-02\n 1.59999960e-02 1.49999951e-02 1.61314586e-08 2.65025599e+00\n 1.11920639e-09 2.24499933e-09 2.29141819e-09 2.02766578e-10\n 1.90380262e+01 1.22244828e-10 2.36827800e-10 2.35735080e-10\n 2.12927332e-10 1.90380262e+01 1.31498556e-10 2.48107876e-10\n 2.52696831e-10 1.45045488e+01 1.33886592e+01 5.19999953e-02\n 4.89999956e-02 9.41000013e-01 5.73822506e-11 6.38446146e-11\n 4.02040212e-11 3.93639627e-11 8.95000013e-01 1.89999947e-02\n 1.79999942e-02 1.79999932e-02 1.69999932e-02 9.10000013e-01\n 1.89999945e-02 1.79999941e-02 1.79999929e-02 1.69999929e-02\n 9.10000017e-01 1.45045488e+01 1.33886592e+01 5.19999950e-02\n 4.89999952e-02 9.41000017e-01 1.13832784e-10 1.26652169e-10\n 8.00822351e-11 7.73635794e-11 8.95000017e-01 1.45034368e+01\n 1.32762799e+00 5.19999916e-02 4.89999955e-02 8.74182950e-01\n 2.84918373e-11 2.75525598e+00 1.04920087e-11 1.96288773e-11\n 8.28182950e-01 1.89999950e-02 2.77325598e+00 1.69999827e-02\n 1.59999923e-02 8.43182950e-01 1.89999946e-02 2.77325599e+00\n 1.69999917e-02 1.59999926e-02 8.43182947e-01 1.45034368e+01\n 1.32762799e+00 5.19999951e-02 4.89999952e-02 8.74182947e-01\n 5.66327795e-11 2.75525599e+00 2.00107619e-11 3.96345048e-11\n 8.28182947e-01 5.29988344e-11 1.91240262e+01 1.76749721e-11\n 2.31573288e-11 3.72549805e-11 1.50704457e+01 1.33010101e+01\n 2.59999980e-02 2.39999955e-02 2.29999964e-02 2.30744533e-09\n 3.97855592e-09 2.67388698e-09 4.35189230e-09 2.66184035e-08\n 2.77933131e-08 2.87737870e-08 3.10615862e-08 5.96610898e-09\n 1.09067833e-08 2.99376744e-07 5.63000107e+01 9.53761267e-10\n 2.50466063e-09 6.11209460e-09 2.95212599e-07 4.37659353e-09\n 4.93507820e-09 6.17700730e-09 6.35578708e-09 1.38098891e-09\n 1.76823721e-09 1.38386913e-09 1.10166975e-09 1.28676622e-09\n 4.37659353e-09 1.62997876e-08 1.62578514e-08 1.63857404e-08\n 6.01219873e+01 1.09786635e-08 6.01310786e-09 8.94294979e-09\n 1.27430577e-07 1.43114400e+04 1.21988972e-08 1.09718774e-08\n 1.09994969e-08 4.37659353e-09 1.24264716e-08 7.12154279e-09\n 1.42208911e-09 3.70421594e-09 4.37659353e-09 3.06333097e-08\n 2.95203953e-08 2.95399988e-08 6.01219868e+01 1.96442527e-08\n 7.94102745e-09 1.37788016e-08 2.46446668e-07 1.43114400e+04\n 2.56561104e-08 2.35060256e-08 2.36152328e-08 4.37659353e-09\n 2.47282277e-08 1.53216165e-08 3.23707372e-09 8.49479038e-09\n 4.37659353e-09 1.23227703e-08 5.42268987e-09 7.48685298e-09\n 9.90590122e-09 1.21765007e-07 3.23941086e-08 3.59031572e-08\n 1.35270329e+02 3.46780637e-09 2.26983514e+02 9.17750372e-11\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 7.08034008e+02 1.12093075e-08 1.00080000e+02 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 9.33250174e+01 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 8.81311652e+01 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7.49080155e-09\n 7.02370572e-09 2.91077211e-09 3.08492853e-09 1.78107243e-09\n 3.37323522e-08 2.74052752e-09 1.32345406e-09 3.42115716e-09\n 1.09581445e-08 2.24338330e-08 5.42694509e-09 3.71328818e-09\n 3.60229239e-09 1.18181500e-08 3.89884583e-09 2.61191094e-09\n 2.64425110e-09 4.91459781e-09 5.61888077e-09 5.80935743e-09\n 5.61180398e-09 1.96243059e-09 6.66115046e-09 5.11695814e-09\n 2.06972125e-09 3.43608569e-09 3.70374456e-09 3.41365014e-09\n 5.01555532e-09 9.10897303e-10 1.02891449e-09 8.61252986e-09\n 1.05673261e-09 1.92243975e-09 2.38551961e-09 1.68983161e-10\n 2.74412155e-09 6.57355945e-10 7.19577130e-10 1.53709225e-10\n 9.53690892e-10 3.46184152e-10 2.46326776e-09 9.98248360e-11\n 1.51500479e-10 1.33446358e-09 1.48962213e-09 2.44474208e-09\n 1.86420478e-09 2.20301343e-08 1.54114714e-07 4.60073095e+02\n 1.08621945e-08 6.41092245e-09 4.19431831e-09 4.81300337e-09\n 3.81618519e+03 6.06181778e-09 6.64397841e-09 8.04578434e-09\n 2.53789695e-09 2.01506655e-09 2.72194931e-09 9.24222806e-09\n 8.07690129e-09 7.27047606e-09 3.11512305e-09 3.34248968e-09\n 1.92867479e-09 3.53886182e-08 3.00761729e-09 1.43331127e-09\n 3.71251833e-09 1.18028752e-08 2.64623041e-08 5.86737236e-09\n 4.03604135e-09 3.92632327e-09 1.36756848e-08 4.24284556e-09\n 2.82308354e-09 2.86339412e-09 5.34732259e-09 6.14008932e-09\n 6.38918752e-09 6.15723877e-09 2.15810099e-09 7.20345099e-09\n 5.65390334e-09 2.23424702e-09 3.74406237e-09 4.10129430e-09\n 3.73607396e-09 5.57776004e-09 9.52835465e-10 1.06664592e-09\n 5.69882588e-09 1.07087408e-09 2.01154358e-09 1.92766993e-09\n 1.24754192e+00 3.79777550e-08 7.00637871e+01 1.24716728e-11\n 1.18029157e+02 1.18029157e+02 1.66942822e+01 1.66942822e+01\n 1.76000000e-01 1.17974157e+02 1.17974157e+02 1.64792822e+01\n 1.64792822e+01 6.38168567e-11 1.49600000e+00 1.52000000e+00\n 4.41839900e+00 4.16787944e+01 5.01143928e+01 1.02834137e-08\n 2.68973184e+01 2.68973184e+01 9.92317926e-10 1.92318682e-09\n 1.22362459e-10 2.68433184e+01 2.68433184e+01 1.90707524e-11\n 3.79323218e-11 2.08714087e-11 1.42100000e+00 1.44299998e+00\n 1.45400000e+00 4.18300000e+00 1.83483235e-11 1.28039640e+01\n 2.16000000e-01 2.16000000e-01 2.96999999e-01 2.96999999e-01\n 8.09999965e-02 1.65999999e-01 1.65999999e-01 1.97999996e-01\n 1.98000000e-01 5.74811941e-11 2.66560000e+01 2.70790000e+01\n 1.99955574e+01 7.84820000e+01 1.76000001e-01 1.51000000e+00\n 4.05400000e+00 4.05400000e+00 4.63518295e+00 4.63518295e+00\n 2.03847999e-01 3.11200000e+00 3.11200000e+00 3.71299999e+00\n 3.71300000e+00 1.25847998e-01 1.30241167e-10 6.28455546e-09\n 7.28644258e+00 1.83787530e-09 3.30100000e+00 2.83230000e+01\n 2.82598308e-10 5.90886859e-10 9.37817050e-01 9.37817052e-01\n 4.43500000e+00 2.86544972e-11 5.92988442e-11 1.95860570e-11\n 3.90471595e-11 2.98500000e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": -10312115.933810076, ""dcost"": -10312115.935347669, ""pres"": 8.573152651867906e-13, ""dres"": 7.186332349951038e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.4153989365825483, ""gap"": 0.025469779890396713, ""relgap"": 2.469888823387796e-09, ""r0"": 1e-08, ""iter"": 20, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.017583999, ""tsetup"": 0.000620583, ""tsolve"": 0.016963416}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2546,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:47,0.007427215576171875,OPTIMAL,10312115.93508922,10312115.93508922,0.0,3.423924845738743e-17,3.66173682985548e-20,216,"{""solver_solve_time"": 0.003056999295949936, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 10312115.93508922, ""solver_stats"": {""solve_time"": 0.003056999295949936, ""num_iters"": 216, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2542,cvxpy_osqp,unknown,NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:43,0.3852531909942627,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2545,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:47,0.02378225326538086,OPTIMAL,10312115.935089216,10312115.93508922,-3.725290298461914e-09,0.18557340660277583,2.751429228248597e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 10312115.93508922, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2540,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:42,2.1319940090179443,OPTIMAL,10376975.578142196,10376900.846152082,74.73199011385441,2.367890834443812e-06,9.006304081025837e-07,36475,"{""solver_solve_time"": 2.126736625, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 10376900.846152082, ""solver_stats"": {""solve_time"": 2.126736625, 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0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 2.99910000e+00]"", ""info"": {""status_val"": 1, ""iter"": 36475, ""scale_updates"": 3, ""scale"": 5.973964553613253, ""pobj"": -10376900.846152078, ""dobj"": -10376975.578142203, ""res_pri"": 0.8439019472760244, ""res_dual"": 3.674158208656491, ""gap"": 74.73199012536513, ""res_infeas"": NaN, ""res_unbdd_a"": 9.647892443111723e-06, ""res_unbdd_p"": 0.0, ""comp_slack"": 2.329395273153308e-10, ""solve_time"": 2126.736625, ""setup_time"": 1.584125, ""lin_sys_time"": 1960.9514710000701, ""cone_time"": 47.6858829999858, ""accel_time"": 20.131204999998637, ""rejected_accel_steps"": 329, ""accepted_accel_steps"": 0, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2544,cvxpy_sdpa,unknown,NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3319,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,agg3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:36:45,0.3181366666666667,OPTIMAL,10312115.942753918,10312115.911289414,0.031464504078030586,4.166248886606217e-13,0.0,22,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.3181366666666667, ""setup_time"": [], 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5.30529596e-11 9.09427425e-02 1.98351946e-01 4.73672698e-11\n 7.04012410e-01 2.87534730e+00 5.60544180e-10 2.25858043e-10\n 4.47614365e-01 2.62067573e-11 1.05893633e-03 1.85843343e-02\n 5.69023626e-02 1.77127209e-01 3.41007034e-11 1.65225054e-10\n 5.90441488e-11 5.76469444e-11 1.51908391e-10 1.40245589e-01\n 2.47315155e+00 4.02914427e-11 8.75814385e-11 2.88101493e-10\n 6.54869181e-10 1.08012660e-09 2.24798416e-10 3.26385054e-11\n 1.98943045e-02 7.60750214e-11 4.13209247e-11 2.81080324e-11\n 4.50205062e-02 4.86162301e-02 1.08965704e+00 3.99000820e-01\n 1.57586656e-09 6.86537221e-01 8.38432081e-11 2.32770984e-01\n 9.33420545e-11 4.41491866e-10 1.35897833e-09 8.42975031e-11\n 3.39060428e-02 2.16730123e-10 3.08199777e-10 7.47773065e-10\n 5.12746341e-10 3.97836769e-10 1.13733986e-11 8.53427420e-11\n 1.05098495e-10 2.40471652e-11 2.31024429e-11 7.19180401e-11\n 1.33863905e+00 7.51153026e-11 2.95292869e-01 1.59725609e-11\n 1.48096395e-02 1.94248489e-02 1.68469060e-09 1.89762030e-01\n 2.99722946e-11 6.64342724e-01 9.52157197e-10 1.16432465e-10\n 1.41174421e-10 7.85221217e-11 3.53701075e-10 5.61200232e-10\n 1.28921238e-09 4.31839443e-11 6.18770830e-12 5.63201054e-11\n 3.72127371e-09 4.62773861e-11 9.99999640e-03 3.10367013e-10\n 4.41370493e-11 6.66989979e-10 4.31590039e-10 5.35272034e-11\n 1.65934396e-11 2.48932924e-11 8.57641444e-11 7.41010557e-10\n 7.52226620e-10 3.12424264e-11 6.41591064e-09 1.68761911e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": 158.62801843381354, ""dcost"": 158.62801844082094, ""pres"": 1.9983106923669746e-12, ""dres"": 1.870470574449022e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.37776534608940615, ""dinfres"": NaN, ""gap"": 5.121896545222202e-07, ""relgap"": 3.2288725507423634e-09, ""r0"": 1e-08, ""iter"": 18, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.004237124, ""tsetup"": 0.000381458, ""tsolve"": 0.003855666}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2555,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,bandm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:54,0.0072362422943115234,OPTIMAL,-158.62801845012046,-158.62801845012055,8.526512829121202e-14,4.2833528695018916e-14,1.1798212661490001e-17,298,"{""solver_solve_time"": 0.0042341239750385284, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -158.62801845012055, ""solver_stats"": {""solve_time"": 0.0042341239750385284, ""num_iters"": 298, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2551,cvxpy_osqp,unknown,NETLIB,bandm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:51,0.14691495895385742,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2554,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,bandm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:54,0.018082141876220703,OPTIMAL,-143.86261372028588,-158.62801845012075,14.76540472983487,8.1964232326824,2.680150937506395e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -158.62801845012075, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2549,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,bandm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:50,0.9895508289337158,OPTIMAL,-158.59405187656807,-158.59455535321916,0.0005034766510902955,9.936099313839666e-06,4.199131139254706e-06,42250,"{""solver_solve_time"": 0.986087375, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -158.59455535321916, ""solver_stats"": {""solve_time"": 0.986087375, 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1.77759143e-09 5.79140002e-02\n 1.66603717e-10 7.85920000e-02 6.52698777e-12 9.46109875e-02\n 3.49974865e-04 2.96279873e-02 9.89999996e-03 2.57361000e-01\n 5.67938487e-11 2.06779998e-02 2.09236000e-01 9.89999996e-03\n 2.42036775e-11 2.06779998e-02 2.55750000e-02 1.18310000e-02\n 2.12267070e-11 2.06539998e-02 9.89999996e-03 7.93073999e-02\n 2.45025152e-11 2.06779998e-02 2.51850003e-02 1.78210003e-02\n 1.56365804e-11 1.56365804e-11 4.23500001e-02 7.86000000e-02\n 2.14826673e-11 2.06779998e-02 4.33099000e-02 1.52317685e-10\n 2.21189999e-02 2.08459835e-10 4.27729997e-02 2.24293311e+00\n 2.32643311e+00 2.24617302e+00 2.35950902e+00 2.26685102e+00\n 2.61919803e+00 2.85203203e+00 3.15569236e+00 3.31614236e+00\n 2.24761370e-10 3.15000002e-02 3.73594108e+00 3.73594108e+00\n 3.22199139e+00 3.24841639e+00 6.70857347e-11 1.98999992e-02\n 7.33095069e-09 1.25261007e-01 1.49904014e+01 4.98950384e+00\n 5.00751284e+00 2.24977354e+00 2.09777354e+00 2.92980360e-09\n 9.16133661e+00 9.35156561e+00 3.51421433e+00 3.50503933e+00\n 4.92224349e-10 5.03515202e+00 1.28451424e+00 8.22869374e-11\n 1.28451408e+00 1.28451363e+00 3.21310207e-10 1.53585936e-10\n 2.49371626e-12 2.04666245e-11 2.59588879e-10 7.48116351e-10\n 9.41132985e-11 1.41322341e-10 2.96053340e-10 3.22295527e-10\n 2.32012773e-09 3.63326743e-08 9.69807603e-11 1.68752967e-10\n 9.51571725e-11 2.62321867e-10 1.98148940e-10 3.91249177e-10\n 9.49783406e-11 2.28496024e-10 3.60450946e-11 7.85296628e-10\n 2.23213360e-10 2.05567103e-11 3.08635851e-10 7.15545167e-12\n 2.45538285e-12 2.84178641e-10 4.67922068e-10 2.33568144e-09\n 3.77492220e-11 1.76380930e-10 2.37778955e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": -33592.48580609641, ""dcost"": -33592.48581018193, ""pres"": 1.5444850421676836e-11, ""dres"": 7.958892729062167e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.7106232576459807, ""gap"": 5.242079109365112e-06, ""relgap"": 1.5604915752956195e-10, ""r0"": 1e-08, ""iter"": 11, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.0031831660000000003, ""tsetup"": 0.000359541, ""tsolve"": 0.002823625}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2564,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,beaconfd,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:59,0.004038095474243164,OPTIMAL,33592.4858072,33592.4858072,0.0,1.0874906845492018e-14,1.0664255170169559e-19,24,"{""solver_solve_time"": 0.0010148733854293823, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 33592.4858072, ""solver_stats"": {""solve_time"": 0.0010148733854293823, ""num_iters"": 24, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2560,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,beaconfd,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:57,0.07142210006713867,OPTIMAL,33592.485763032746,33592.4859134179,-0.00015038515266496688,4.132129023049231e-06,7.587370585700214e-12,5850,"{""solver_solve_time"": 0.06814199900000001, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 33592.4859134179, ""solver_stats"": {""solve_time"": 0.06814199900000001, ""num_iters"": 5850, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([-2.40000000e+00, -2.90000000e+00, -4.11323856e-03, -7.92556674e-07,\n -2.07000000e-03, -7.05000000e+00, -1.30000000e-03, -6.39000000e-03,\n -3.62000000e-03, -2.50000000e+00, 4.58737041e-21, -1.82000000e+00,\n -3.06000000e+00, -5.66000000e+00, -2.55000000e+00, -2.48000000e+00,\n -3.60000000e-01, -2.57000000e+00, -3.19999895e-04, 2.20799539e-02,\n -2.89000000e+00, -2.75000000e+00, -4.87573182e-20, 0.00000000e+00,\n -3.40000000e+00, -1.70100000e+01, -3.80000000e-04, -8.63000000e+00,\n -2.16000000e+00, -2.88000000e+00, -5.27000000e+00, -2.85000000e+00,\n 8.63935930e-07, -3.59000000e+00, -5.34000000e+00, 0.00000000e+00,\n -5.45000000e+00, -5.40000000e+00, -2.11000121e-03, -2.63000000e+00,\n 6.53880922e-07, -9.30000000e-04, -1.54000000e+00, 7.73829394e-07,\n -2.83000000e+00, 4.12112722e-06, -6.40000000e-03, 8.81530252e-09,\n -3.63000000e+00, 7.05224201e-09, -1.77500000e+01, -4.73000000e+00,\n -8.20000000e-01, -1.68000000e+00, -1.01000000e-03, -1.63500000e+01,\n -5.39000000e+00, 0.00000000e+00, -2.59000000e+00, 3.86681303e-08,\n -4.65000000e+00, -1.29999997e-03, -9.40000025e-04, -1.00000002e-03,\n -4.80000001e-04, -2.90000010e-04, -1.85999123e-03, -8.22000000e+00,\n -1.88000002e-03, -5.39999948e-04, 3.05996940e+00, 2.89000000e+00,\n 2.82997170e+00, 5.38994610e+00, -5.43301130e+00, 3.09117100e+00,\n 2.85986403e+00, 3.18933500e+00, 3.20276204e+00, 3.36872301e+00,\n 3.49757104e+00, -2.22463752e+00, 3.89675480e+00, 3.33382123e+00,\n -3.47984283e-01, 2.26489233e-01, 4.50480990e+00, 4.51278234e+00,\n 4.10457999e+00, 3.89696699e+00, 9.87996086e-01, 2.28986862e+00,\n 2.39731349e+00, 3.14663452e+00, 3.49617622e+00, -2.95006525e+00,\n 5.55909204e+00, 4.63776292e+00, 4.58120402e+00, 2.35497573e+00,\n 2.79512205e+00, 4.35550290e+00, 3.72726698e+00, 3.53183099e+00,\n -1.75628797e+01, -9.13121864e-02, 5.19898040e+00, -4.15254343e+00,\n 3.14185573e+00, 2.82556397e+00, 3.17020988e+00, 2.98567604e+00,\n 6.05069102e+00, 2.89932004e+00, 2.77913505e+00, 2.90099206e+00,\n 2.77111706e+00, 2.82812106e+00, 2.63594166e+00, 2.60207487e+00,\n 2.57031205e+00, 3.32772760e+00, 2.50054804e+00, 2.26426762e+00,\n 2.44420038e+00, 8.30748935e-01, 2.20279530e+00, 3.14668100e+00,\n 4.30719205e+00, 2.89240510e+00, 2.78924400e+00, 2.68362600e+00,\n 4.75437653e+00, 2.65122599e+00, 2.40874788e+00, 5.03495200e+00,\n 2.16087273e+00, 2.73067759e+00, 4.12035030e+00, 3.29180966e+00,\n 7.67426755e-11, 9.16926007e-13, -2.38977209e-13, -1.32740605e-10,\n 9.07260969e-20, 4.21052825e-17, -3.65621565e-11, 9.73948796e-12,\n 4.03075394e-11, -2.35417536e-10, -3.24137066e-11, -5.47956927e-12,\n 1.82586471e-10, -9.76653117e-19, -2.77156372e-11, -7.07740592e-18,\n 1.31679473e-11, -5.43482450e-15, -1.32095429e-10, 9.81114680e-12,\n 8.12541576e-11, 1.32928565e-11, 2.08292166e-12, 8.80612416e-11,\n -7.53261030e-17, 9.89493272e-13, 1.12447600e-11, -3.85003563e-19,\n -8.91098010e-13, -1.72780301e-18, 3.08739935e-11, 3.48413337e-11,\n -1.58987275e-12]), y=array([ 3.93998999e+00, 0.00000000e+00, 8.85224997e+01, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.13500000e+00, 7.15325000e+01,\n 2.64547367e+02, 1.44320000e+02, 1.08840000e+01, 1.26225000e+02,\n 4.60417505e+02, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 2.11050000e+01, 0.00000000e+00, 1.09800048e+01, 0.00000000e+00,\n 5.95974987e+01, 0.00000000e+00, 2.54387495e+02, 0.00000000e+00,\n 2.00128730e+02, 0.00000000e+00, 1.83043501e+02, 3.58480004e+02,\n 0.00000000e+00, 2.19022761e+03, 0.00000000e+00, 1.25484970e+03,\n 0.00000000e+00, 9.05124387e+02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.27582504e+02, 0.00000000e+00,\n 1.39110000e+01, 0.00000000e+00, 3.99520000e+02, 8.52800018e+01,\n 0.00000000e+00, 1.56350000e+01, 0.00000000e+00, 2.47488522e+02,\n 0.00000000e+00, 1.06552502e+02, 0.00000000e+00, 4.77971995e+02,\n 0.00000000e+00, 0.00000000e+00, 3.31448996e+01, 1.73814983e+01,\n 0.00000000e+00, 0.00000000e+00, 6.29999924e-01, 3.70939998e+02,\n 0.00000000e+00, 7.67001979e+02, 2.44349538e+03, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.25304000e+02, 3.28695000e+02,\n 0.00000000e+00, 0.00000000e+00, 2.57524997e+02, 1.00203013e+03,\n 0.00000000e+00, 0.00000000e+00, 1.03500000e+01, 0.00000000e+00,\n 7.25500056e+00, 0.00000000e+00, 0.00000000e+00, 4.00800000e-01,\n 7.50000000e-02, 1.11999999e+03, 0.00000000e+00, 6.40000001e+02,\n 6.00566247e-18, -2.23743243e-17, -1.26665196e-17, 5.59999984e+01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 4.00000000e+01, 6.55220430e-19, 7.34735007e+01, 7.90500004e+01,\n 1.11957300e+03, 6.90000000e-01, 0.00000000e+00, 1.22275749e+03,\n 0.00000000e+00, 0.00000000e+00, 8.12249606e+00, 0.00000000e+00,\n 0.00000000e+00, 2.11350002e+01, 0.00000000e+00, 3.63199979e+01,\n 8.43147000e+02, 8.87740500e+02, 2.04299998e+00, 1.43436700e+03,\n 2.12378888e+02, 7.50000000e-01, 1.80127000e+02, 9.76309988e+01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -6.55333900e-17,\n 0.00000000e+00, 5.99999999e+02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.19999997e+02, -6.55333900e-17, -1.62039516e-16,\n 2.00000077e+01, -2.26062621e-17, 0.00000000e+00, 2.58542327e-17,\n 3.40253688e-17, 3.60000003e+02, 2.01705489e-17, 7.45579525e-32,\n -2.32082601e-17, 4.00000468e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.84901388e-16, 0.00000000e+00,\n 0.00000000e+00, -3.05393896e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 9.99999997e+02,\n 1.92000000e+02, 6.50000012e+01, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 4.49999770e+01, -3.36018119e-18, 4.50000190e+01,\n 0.00000000e+00, 2.15000015e+02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.40000001e+02, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.57494001e-15, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 3.86793988e-17, 0.00000000e+00,\n 1.59999960e+02, 1.44891042e-16, -1.44891042e-16, 2.40000723e+01,\n -3.13836747e-16, 0.00000000e+00, 5.00000000e+00, 0.00000000e+00,\n 6.00000936e+01, 0.00000000e+00, 1.89300014e+03, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.25835288e-18, 0.00000000e+00,\n 1.65000144e+02, 3.93323077e-17, 0.00000000e+00, 0.00000000e+00,\n 4.10000144e+02, 0.00000000e+00, -1.75186620e-17, 1.75186620e-17,\n 4.45000151e+02, 0.00000000e+00, 5.49164659e-18, 1.61718098e-16,\n 4.15000157e+02, 5.49098667e-18, 5.06197054e-17, -3.37464703e-17,\n 5.79999932e+02, 5.79999932e+02, 0.00000000e+00, 0.00000000e+00,\n 4.20000247e+02, 0.00000000e+00, 0.00000000e+00, 6.00000001e+01,\n 0.00000000e+00, 4.70000954e+01, -1.23254603e-16, 0.00000000e+00,\n 0.00000000e+00, 5.45263807e-16, -7.97664746e-16, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.18798328e-16, 0.00000000e+00,\n 4.00000005e+01, 0.00000000e+00, -9.39520560e-20, 9.39520560e-20,\n -1.18798328e-16, 0.00000000e+00, 1.37000000e+02, 0.00000000e+00,\n 1.00000001e+00, 0.00000000e+00, 4.68280933e-20, 0.00000000e+00,\n -3.10526281e-16, 0.00000000e+00, 9.37280230e-16, 3.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.03418257e-16, 1.62039516e-16,\n 1.80000000e+01, 0.00000000e+00, 0.00000000e+00, 1.08000000e+02,\n 0.00000000e+00, 0.00000000e+00, 2.98030006e+01, 6.15738750e+01,\n 4.66507434e+01, 4.63979125e+02, 3.50000000e+01, 1.19447500e+01,\n 1.02451000e+02, 6.70201251e+01, 3.22806253e+01, 2.79935631e+01,\n 4.07599976e+00, 2.57515121e-01, 9.87437809e+01, 5.60000000e+01,\n 1.01620875e+02, 3.63044500e+01, 4.57359999e+01, 2.32182500e+01,\n 1.01625574e+02, 4.16723749e+01, 2.72101400e+02, 1.21309251e+01,\n 4.04530001e+01, 4.50825231e+02, 3.10000000e+01, 1.26656525e+03,\n 1.85225257e+02, 3.20000000e+01, 2.06372500e+01, 6.96550000e+00,\n 2.59862126e+02, 5.35938752e+01, 3.99432500e+01]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-33592.48591341789, prim_res=8.767101643317161e-07, dual_res=0.009758195052175303, iter=5850, rho_updates=4, rho_estimate=0.06561194548140314, setup_time=0.000551458, solve_time=0.067429208, update_time=0.0, polish_time=0.000161333, run_time=0.06814199900000001))""}}, ""problem_class"": ""LP""}" +2563,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,beaconfd,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:59,0.0160062313079834,OPTIMAL,32454.290135999996,33592.4858072,-1138.1956712000028,95.28680102889979,1.2816839610226098e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 33592.4858072, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2558,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,beaconfd,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:56,0.0295412540435791,OPTIMAL,33822.41635327425,33822.6803471623,-0.26399388804566115,2.355756066373741e-09,5.834697027865449e-06,1950,"{""solver_solve_time"": 0.026651, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 33822.6803471623, ""solver_stats"": {""solve_time"": 0.026651, ""setup_time"": 0.000658583, ""num_iters"": 1950, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-2.40000000e+00 -2.90000067e+00 -4.83476153e-03 4.24662873e-01\n -2.06999990e-03 -7.04999356e+00 -1.29998689e-03 -6.38999901e-03\n -3.61998854e-03 -2.50213982e+00 -2.92984238e+00 -1.82000000e+00\n -3.06000000e+00 -5.66003092e+00 -2.54915528e+00 -2.47954185e+00\n -3.60041303e-01 -2.57183130e+00 5.51733063e-06 1.07342823e+02\n -2.89119731e+00 -2.75216769e+00 -1.52971381e+00 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-0.08999522, -0.07933227,\n -0.03916924, -0.20347548, -0.06543357, -0.09264159, -2.79232286,\n -0.7290294 , -1.90020363, -2.06247224, -0.70930704, -0.41112533,\n -0.77217673, -2.93296065, -1.34144632, -0.93116958]), y=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.30104261e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 2.51933188e-35, -1.38777878e-18, 2.31111593e-33,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.60208521e-19, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -2.72922646e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.15842239e-19, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n -2.24062101e-18, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n -1.18794859e-18, 0.00000000e+00, 0.00000000e+00, 5.20417043e-19,\n 1.30104261e-17, 5.56349221e-19, 0.00000000e+00, 3.32709764e-17,\n 0.00000000e+00, 0.00000000e+00, -1.38777878e-17, -2.44104476e-19,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n -5.67739800e-19, 0.00000000e+00, 2.56355985e-18, 2.11223731e-18,\n 4.23446255e-19, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.64687215e-17, -3.64997198e-18,\n 0.00000000e+00, 0.00000000e+00, -2.64531870e-18, 0.00000000e+00,\n 3.30036073e-18, -1.82641959e-18, 0.00000000e+00, -4.33680869e-20,\n 0.00000000e+00, -5.89918938e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.30104261e-19, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -2.58961379e-18, -5.17922758e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=2, obj_val=0.0, prim_res=1.572115880532632e-08, dual_res=9.7203267590455e-17, iter=50, rho_updates=0, rho_estimate=5.1420542745094355e-06, setup_time=0.000206166, solve_time=0.000152166, update_time=0.0, polish_time=0.0, run_time=0.000358332))""}}, ""problem_class"": ""LP""}" +2482,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,blend,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": 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""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:41:43,0.001828908920288086,OPTIMAL,-2.909396666777328e-20,0.0,-2.909396666777328e-20,2.9297795420479594e-17,0.0,25,"{""solver_solve_time"": 9.2625e-05, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 0.0, ""solver_stats"": {""solve_time"": 9.2625e-05, ""setup_time"": 0.000150333, ""num_iters"": 25, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-4.09622691e+00 -3.92952436e+00 -3.27375060e+00 -3.27913163e+00\n -3.47556943e+00 -4.12495481e+00 -3.31622624e+00 -3.05037377e+00\n -2.79186319e+00 -2.87841856e+00 -5.30280886e+00 -5.11312077e+00\n -3.08638840e+00 -5.16189002e+00 -5.10253434e+00 -5.14379946e+00\n -2.62148449e+00 -2.63743400e+00 -6.16839141e+00 -5.97768560e+00\n -2.80084468e+00 -5.15433829e+00 -5.41963167e+00 -3.87900681e+00\n -2.92437716e+00 -2.79208452e+00 -5.75545542e+00 -4.27327306e+00\n -3.53526910e+00 -6.07988254e+00 -6.10766955e+00 -4.75691306e+00\n -4.78920009e+00 -3.07534969e+00 -4.37565157e+00 -5.91520799e+00\n -2.76346512e+00 -4.69398358e+00 -4.66642837e-01 -3.92734735e-01\n -3.24482771e-01 1.23121792e-02 -1.99310068e-03 -7.85544824e-02\n -6.56816558e-05 -5.97787306e-02 -4.63056733e-02 -7.28575381e-03\n -3.09188472e-03 -6.62306057e-02 -4.78497315e-02 -3.33678218e-02\n -5.19628813e-02 -2.77799021e-04 -8.77002895e-03 -2.61634039e-03\n -7.22715694e-04 -7.66980414e-03 -4.66020486e-02 -2.35024785e-02\n -6.41123612e-04 -1.05251461e-01 -1.16861845e-02 -2.09143143e-02\n -9.19098645e-01 -2.52450147e-01 -5.47536334e-01 -7.85318248e-01\n -5.00898287e-01 -4.15643730e-01 -7.17477937e-01 -1.91615303e+00\n -9.24986961e-01 -9.44157964e-01]"", ""y"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n -2.43273659e-20 -3.07534340e-21 0.00000000e+00 -2.19471770e-20\n 0.00000000e+00 -8.82971944e-20 0.00000000e+00 1.76594389e-19\n 0.00000000e+00 0.00000000e+00 4.90175123e-20 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 -5.77923501e-19 0.00000000e+00\n 3.62313433e-20 -2.26445896e-21 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 3.86943259e-19 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 -4.64101309e-20 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 4.97269823e-20 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 6.06273946e-18\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 -5.96530617e-19 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 1.05003652e-19 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n -7.66224530e-18 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00]"", ""s"": ""[9.33398936e-03 1.53881275e-03 7.20754925e-03 5.63829832e-04\n 2.25972148e-03 2.61682858e-04 4.08902364e-03 2.41731272e-03\n 5.18039380e-02 1.05387073e-02 5.93556836e-02 1.80906404e-02\n 1.43556804e-01 1.02347193e-02 7.08124372e-02 5.35486183e-02\n 1.31567615e-01 2.06610177e-01 1.03039532e-01 8.57764089e-02\n 5.75695216e-03 3.75830914e-04 1.22963651e-01 1.09815373e-01\n 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3.09187691e-03 6.62306057e-02 4.78497315e-02 3.33680324e-02\n 5.19628813e-02 2.77719838e-04 8.77003548e-03 2.61634039e-03\n 7.22715325e-04 7.67097869e-03 4.66020486e-02 2.35025048e-02\n 6.41276908e-04 1.05251461e-01 1.16861845e-02 2.09143136e-02\n 9.19098645e-01 2.52450147e-01 5.47536334e-01 7.85318248e-01\n 5.00898282e-01 4.15643730e-01 7.17477937e-01 1.91615303e+00\n 9.24986961e-01 9.44157964e-01]"", ""info"": {""status_val"": 1, ""iter"": 25, ""scale_updates"": 0, ""scale"": 0.1, ""pobj"": 0.0, ""dobj"": 2.909396666777329e-20, ""res_pri"": 1.1471064694758227e-05, ""res_dual"": 2.6794734152159993e-17, ""gap"": 2.909396666777329e-20, ""res_infeas"": NaN, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 7.519477826261281e-17, ""solve_time"": 0.092625, ""setup_time"": 0.150333, ""lin_sys_time"": 0.07432700000000003, ""cone_time"": 0.0024920000000000003, ""accel_time"": 0.0008290000000000001, ""rejected_accel_steps"": 0, ""accepted_accel_steps"": 0, ""status"": ""solved""}}}}, 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2.85289558e-09 3.29890838e-10 3.24849409e-02\n -2.00580176e-10 7.86312317e-10 1.15672240e-02 7.09511268e-11\n 1.98062477e-10 -5.46120369e-11 9.57990700e-10 1.22082551e+00\n 3.11667587e-08 2.36921001e+00 1.23841074e+01 6.34727108e+00\n 6.31580577e+00 4.57418681e+00 2.47011740e+00 3.99447017e-09\n 1.30778808e-08 2.31053466e+01 1.97512590e-08 2.70663267e+00\n 2.57419412e+00 2.18158331e-10 8.88015988e-12 4.28479996e-10\n 5.37689785e-10 3.76056049e-10 7.04511413e-02 1.20892834e-09\n 2.53419036e-09 1.05617047e-08 9.86262536e-10]"", ""y"": ""[]"", ""z"": ""[82.41759731 82.41759731 23.35589872 ... 3.18680874 0.76699999\n 8.04729548]"", ""s"": ""[9.83812326e-11 9.83812340e-11 3.47194569e-10 ... 2.54794485e-09\n 1.05847065e-08 1.00223126e-09]"", ""info"": {""exitFlag"": 0, ""pcost"": -1977.6295532917063, ""dcost"": -1977.6295535990914, ""pres"": 9.20778452066299e-13, ""dres"": 2.440782354354242e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.006298037196747892, ""gap"": 9.075914990025957e-07, ""relgap"": 4.589289725631053e-10, ""r0"": 1e-08, ""iter"": 58, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.035869999, ""tsetup"": 0.000980083, ""tsolve"": 0.034889916}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2573,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,bnl1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:44:08,0.02298903465270996,OPTIMAL,1977.6295615228848,1977.6295615228896,-4.774847184307873e-12,3.3960309519138404e-16,1.95450704628458e-16,660,"{""solver_solve_time"": 0.016400501132011414, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1977.6295615228896, ""solver_stats"": {""solve_time"": 0.016400501132011414, ""num_iters"": 660, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2569,cvxpy_osqp,unknown,NETLIB,bnl1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:44:05,0.37183308601379395,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2572,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,bnl1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:44:07,0.0905158519744873,OPTIMAL,1977.629561522887,1977.6295615228892,-2.2737367544323206e-12,1.4740123237894942,8.866050086634852e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1977.6295615228892, ""solver_stats"": 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3.59051673e-09\n 1.10134108e-09 1.05544423e-09 4.66696264e-09 4.78848271e-09\n 5.03267366e-09 1.06662517e-08 1.05505914e-08 8.96458255e-09\n 9.66208046e-09 1.58010263e-08 9.86319349e-10 1.14634368e-09\n 1.13477662e-08 1.02516403e-08 1.24644279e-09 1.29760039e-09\n 8.68926275e-09 1.95792453e-08 1.21101635e-08 1.10962259e-08\n 1.19472014e-09 1.24121505e-09 1.45551816e-08 1.50249870e-08\n 1.31736562e-08 9.96215906e-10 1.23293850e-09 1.98813443e-08\n 1.01637805e-09 1.27501118e-09 1.37850072e-08 3.81882046e-09\n 1.01188517e-09 1.25508121e-09 5.24269773e-09 8.08336301e-09\n 1.42986050e-08 6.94658830e-09 4.82703171e-09 8.98232088e-09\n 2.04231358e-09 2.28565319e-09 2.26132645e-09 1.03652057e-08\n 1.23296647e-09 9.88941340e-10 3.81642025e-09 3.90986449e-09\n 3.80531944e-09 3.63332067e-09 3.20676613e-09 3.32234039e-09\n 1.20437791e-09 9.70461733e-10 1.10641398e-09 1.06598170e-09\n 1.24840938e-09 1.19804785e-09 1.26497178e-09 1.26849268e-09\n 1.21977949e-09 1.31387623e-09 1.04092848e-09 1.21735599e-09\n 1.23643653e-09 9.91315385e-10 1.18363439e-09 1.24499074e-09\n 9.98702610e-10 9.85152852e-10 9.59294409e-10 1.01312046e-09\n 1.20094353e-09 1.13844810e-09 1.19231971e-09 1.00000000e+00\n 1.18206564e-09 8.33753057e+02 4.98539490e+02 6.87279069e-10\n 1.29132882e+02 2.48437951e+04 1.46150000e+04 1.42214113e+04\n 3.16924530e+03 6.78142200e-10 6.78142200e-10 6.78142200e-10\n 2.85316330e-08 5.02896546e-08 4.94579439e+01 5.87131620e-09\n 2.06436745e-08 5.37231079e-09 5.97936370e+00 4.81190366e-09\n 4.95448994e+01 5.26466275e-09 5.72026227e+00 4.69065072e-09\n 5.36275314e-09 1.42245500e-08 4.61399402e-08 1.18837826e-08\n 2.06214520e-08 3.66596844e-08 9.35819863e-09 5.03172013e-08\n 1.21403962e-08 2.06287526e-08 1.10717817e-08 1.02086122e-08\n 2.88767086e+01 9.48414344e-09 5.51736659e+01 1.21356704e-08\n 3.23000979e-08 1.21368261e-08 3.13312499e-08 9.96515213e-09\n 3.88532516e+00 4.64137752e-08 1.39015218e-08 5.02540131e-08\n 1.04410715e-08 1.46697174e-08 1.17164920e-08 8.93955898e-09\n 4.74742362e-09 1.91736895e-08 1.62724257e-08 8.41049877e-09\n 1.53453343e-08 8.30000000e+01 2.99999993e+00 2.06000000e+02\n 2.29125942e-08 1.44277213e+01 7.11113352e+01 7.72974665e-09\n 6.01819173e-09 9.15247173e-09 2.87802012e-08 1.21424080e-08\n 5.06528716e-08 1.10697671e+01 6.06155327e+01 5.39389229e-08\n 1.21820255e-08 8.59559998e+01 1.76273132e+02 5.04250159e-08\n 1.06453231e-08 1.11827248e-08 2.55632135e-08 3.06817250e-08\n 1.26974430e-08 9.15252361e-09 3.07954808e-08 2.53982711e+01\n 2.56354346e-08 1.06769859e-08 1.44847212e-08 6.26173831e-09\n 3.03302863e-08 1.24041449e-08 2.56699568e-08 1.33378777e-08\n 9.16060354e-09 2.56179285e-08 3.06800383e-08 2.56238152e-08\n 3.06718506e-08 6.02971269e-09 4.33282151e+01 7.28197749e+01\n 1.03000000e+02 5.26488477e-09 2.06280674e-08 3.16717849e+01\n 9.92400939e-09 4.55466895e-08 2.06249259e-08 1.46461244e-10\n 2.00000000e+00 8.54304905e-10 6.39446731e-10 3.96847538e-11\n 6.49755068e+00 2.98430703e+00 2.87597369e+00 7.34070842e+00\n 9.99999961e-01 4.91406246e+00 1.34774800e-09 1.77857726e-10\n 3.55140188e-01 2.80000003e-01 3.55140187e-01 1.18061157e-01\n 1.12055369e-09 5.34819134e-09 1.44954125e+01 1.87906343e+01\n 8.35134380e-12 4.17809953e+00 3.09831701e-10 1.53156014e-10\n 3.67917322e-08 2.49080941e-09 1.02854253e-09 1.99736021e+00\n 6.19957989e-01 1.96428580e-01 1.08587241e+01 1.00000000e+00\n 1.00000000e+00 1.35571331e+01 1.81270778e-01 1.00000000e+00\n 1.59090912e-01 9.53679712e-01 1.83723935e+01 5.38662007e-01\n 6.64936987e-01 3.24886679e-09 3.01050452e-11 1.82482091e-10\n 1.25326569e-11 6.32821509e+00 6.67178485e+00 5.64708377e+01\n 2.99344660e+01 1.21333335e+01 7.67803494e+02 1.21577329e-06\n 6.18566269e+01 6.02103589e+02 4.60000001e+01 5.91651324e-08\n 3.29758588e-07 3.07058486e+01 2.00000003e+01 3.42684380e-09\n 3.65815308e-09 4.37708398e-09 3.65730434e-09 2.68887383e-09\n 6.11457791e+01 9.57821260e-08 4.80957228e+00 4.37061951e+00\n 4.81977486e+00 6.47464080e+02 2.77559197e+02 1.06716602e+03\n 9.62066019e-08 1.87647069e+01 9.93104348e-09 1.74900798e-08\n 7.27325581e+01 7.07865264e+01 4.75717813e+00 1.40000005e+01\n 5.21697676e+02 4.49848892e+02 7.28366317e-08 3.34659540e-08\n 7.00000003e+01 2.67727999e+03 1.73889335e-08 9.41860463e+00\n 1.12134736e+01 3.58667152e+02 3.72170252e-07 1.04651168e+00\n 1.84834375e+00 5.15165615e+00 1.99979813e-07 3.00000001e+01\n 1.07512168e-07 5.01043206e+01 1.82968446e+00 1.01696429e+02\n 4.73487941e-07 7.91862543e+02 4.65203799e+02 3.63319086e+02\n 4.43400000e+02 9.22499231e-09 3.81976743e+01 1.60226842e+01\n 9.18504673e+01 5.07723630e+02 2.17654334e+02 3.70999998e+02\n 1.30410715e+02 6.01457791e+01 9.50568116e-09 6.27906973e+00\n 4.30281688e+01 6.98702249e+01 2.73610740e-07 8.26487674e-08\n 2.14941704e-08 5.11819894e-09 1.38001693e-08 8.19190140e+01\n 5.76088934e+01 1.16205746e-05 2.70101767e+01 9.70166122e+01\n 1.46040059e+02 5.68854919e-06 8.15369712e+02 1.83798477e+03\n 5.89647886e+01 6.85434370e-08 9.97612993e+00 5.85352110e+01\n 5.45851901e-09 4.83962470e-08 5.40000000e+01 5.03047026e-08\n 1.13940416e-07 7.03201936e-08 4.90128629e+01 1.89392703e-09\n 4.70000000e+01 3.22940588e-09 4.72435371e+01 8.10000000e+01\n 3.00000000e+00 3.00000000e+00 3.00000000e+00 3.00000000e+00\n 3.00000000e+00 6.44859815e-01 4.00000000e+00 3.83967915e+00\n 3.27855614e+00 3.72000001e+00 3.99999999e+00 4.00000000e+00\n 1.91406250e+00 1.61764714e-01 1.92417279e+00 2.00000000e+00\n 2.00000000e+00 2.00000000e+00 7.00000000e+00 7.00000000e+00\n 7.00000000e+00 7.00000000e+00 7.00000000e+00 2.34198505e+00\n 6.99999876e+00 6.92512159e+00 6.99999990e+00 7.00000000e+00\n 5.07805100e+00 7.00000000e+00 7.00000000e+00 7.00000000e+00\n 7.00000000e+00 7.00000000e+00 3.97929886e-08 6.99999989e+00\n 3.91493141e+00 6.30482727e+00 7.00000000e+00 3.10278808e+00\n 7.00000000e+00 5.48916796e+00 6.99999996e+00 6.99999999e+00\n 6.99999999e+00 4.58266875e+00 4.00000000e+00 3.99999994e+00\n 3.99999992e+00 3.07582732e+00 4.00000000e+00 3.99999998e+00\n 2.30875466e+00 3.77718291e+00 4.00000000e+00 3.29518074e+00\n 3.84045700e+00 1.86436226e+00 4.00000000e+00 3.99999996e+00\n 3.30000001e+00 7.00000036e-01 4.00000000e+00 3.99999997e+00\n 3.99999999e+00 3.83823532e+00 7.00000000e+00 7.00000000e+00\n 7.00000000e+00 7.00000000e+00 7.00000000e+00 5.80357143e+00\n 7.00000000e+00 7.00000000e+00 7.00000000e+00 6.76548663e+00\n 6.23451338e+00 6.77716723e+00 6.99999898e+00 6.99999989e+00\n 6.99999999e+00 3.79930451e+00 6.99999999e+00 6.33579765e+00\n 6.99999995e+00 6.99999999e+00 6.99999999e+00 4.54614127e+00\n 1.00000000e+00 1.00000000e+00 1.30066723e-09 5.23255815e-01\n 1.00000000e+00 4.76744187e-01 6.74896175e-10 1.00000000e+00\n 1.00000000e+00 1.00000000e+00 1.72535222e-01 9.99999992e-01\n 4.51396407e+00 4.49952336e+00 5.00000000e+00 4.99999999e+00\n 2.93800368e+00 5.00000000e+00 5.00000000e+00 1.82521612e+00\n 4.31723262e+00 4.99999992e+00 5.00000000e+00 4.27306832e+00\n 4.74701083e+00 4.89166667e+00 5.00000000e+00 5.00000000e+00\n 4.99999998e+00 4.99999990e+00 9.76160314e+00 8.72855008e+00\n 7.00000000e+00 4.92229410e+00 1.00000000e+01 1.00000000e+01\n 4.86756375e-01 1.11430989e+01 2.00000000e+01 6.21578574e-09\n 2.00000000e+01 2.00000000e+01 2.00000000e+01 2.82746479e+00\n 3.00000000e+00 3.00000000e+00 3.00000000e+00 3.00000000e+00\n 2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00\n 1.26283771e-09 4.99999995e+00 5.00000000e+00 4.92681268e+00\n 2.00000000e+01 2.00000000e+01 2.00000000e+01 1.99999744e+01\n 1.53481155e+01 7.50022347e-09]"", ""s"": ""[5.49463068e-03 2.35849566e-11 5.51560299e-02 6.87917300e-02\n 1.98845233e-11 1.33008561e-02 1.33108561e-02 5.59199963e-03\n 2.99405885e-02 5.64371393e-12 4.11125030e-12 4.14709826e-12\n 2.80001394e-10 8.16241493e-03 9.38405657e-11 8.15241474e-03\n 6.97326500e-12 8.54952554e-13 8.12049076e-10 8.59127293e-13\n 2.29925923e-04 1.62948884e-02 6.85831123e-03 1.05879615e-11\n 5.21860915e-03 1.02039753e-11 2.77031306e-11 3.16513696e-11\n 1.33449670e-12 5.42145624e-11 1.25415580e-11 3.33111083e-12\n 2.30106628e-03 9.87732138e-13 2.69475343e-12 7.98986704e-12\n 4.06139595e-12 2.80343324e-12 1.68519378e-02 6.55217293e-11\n 3.55303791e-02 2.86280531e-10 1.46836769e-02 1.74477188e-12\n 6.86011841e-03 7.90953104e-12 8.07323547e-04 8.17323573e-04\n 2.92261092e-12 6.08401439e-02 6.87424187e-12 5.52941933e-12\n 8.03642151e-13 1.29361932e-11 1.74394230e-11 8.36831983e-12\n 8.87633607e-11 6.80311803e-12 8.74792931e-03 1.70021191e-03\n 8.26614664e-03 5.06848413e-13 7.23081384e-11 1.98592253e-12\n 4.18504871e-12 4.49908794e-03 4.05800002e-12 4.88134461e-11\n 7.99126917e-12 1.04445939e-12 3.28019108e-13 3.10884616e-12\n 1.64991525e-12 2.80848101e-12 1.87650811e-13 3.26990550e-11\n 9.98237343e-03 4.03993426e-11 1.75464244e-11 6.74635329e-12\n 2.56473175e-02 1.56649441e-02 1.56649441e-02 4.74672939e-03\n 1.78755728e-12 7.01153047e-12 1.86684412e-02 2.03929273e-02\n 1.44322013e-10 3.33151134e-02 1.82675367e-12 5.35257284e-02\n 4.66460436e-02 5.40017056e-12 6.92157993e-11 3.04816521e-11\n 7.28002932e-12 3.67579481e-12 3.70224708e-11 1.55187282e-12\n 1.19138362e-11 1.10914164e-11 2.79311879e-03 5.37080406e-02\n 4.04776400e-12 7.22041695e-02 6.70489708e-02 1.14753298e-11\n 4.29056464e-04 9.54762030e-13 4.10085012e-12 4.81782712e-04\n 3.27984061e-13 1.86857267e-12 1.16022630e-12 4.19984328e-02\n 5.36721424e-12 1.79702871e-12 1.25278938e-11 7.62864184e-02\n 5.48328545e-03 5.37262663e-12 7.21847841e-12 4.63890385e-02\n 5.48328544e-03 2.59638394e-12 1.67437392e-12 4.97888221e-04\n 2.07248771e-03 7.27758804e-13 4.65617567e-04 5.53809732e-12\n 4.43411436e-02 5.41431428e-12 5.70248656e-12 8.80876711e-02\n 5.48328554e-03 8.53756132e-11 1.01482003e-10 5.81902912e-02\n 5.48328548e-03 2.56909108e-11 4.46624425e-11 1.05224543e-12\n 7.40966369e-12 8.25144696e-12 2.98973799e-02 8.82073841e-12\n 5.89958105e-12 4.81508221e-12 3.01545972e-12 7.46166311e-12\n 2.04079619e-12 1.97853777e-12 5.67224304e-11 5.21860913e-03\n 1.12247116e-12 2.74371570e-03 1.54475949e-12 2.52594175e-11\n 1.03640687e-12 2.93711272e-05 6.63471301e-13 1.43185632e-13\n 1.85044022e-11 1.01116063e-12 1.99569180e-12 5.98333651e-11\n 1.14547339e-12 2.17472418e-12 1.86357023e-11 1.99592280e-12\n 2.91940680e-05 2.32961553e-12 2.49600988e-11 3.99718597e-01\n 3.92907240e-11 4.73149042e-01 7.08157801e-11 1.10592653e-02\n 1.05742211e-11 1.37127444e-10 2.73763223e-10 2.49740885e-11\n 4.63407273e-01 5.24210612e-03 1.15596544e-11 6.73238058e-03\n 9.99875976e-06 2.86352299e-11 4.28877163e-11 9.17427779e-11\n 1.14417660e-11 6.86422833e-12 5.48809775e-11 2.73751268e-10\n 2.12554641e-11 2.76428631e-02 4.30985222e-02 3.46709799e-11\n 2.76328631e-02 4.30985222e-02 2.74303464e-10 2.74232755e-10\n 2.74287224e-10 2.74319335e-10 1.37220552e-10 3.92068120e-11\n 1.37074332e-10 1.37211730e-10 1.37120998e-10 2.73750338e-10\n 1.37215354e-10 5.48830864e-11 1.37066160e-10 1.30691041e-11\n 2.11098795e-11 4.57298255e-11 3.92048586e-11 1.61446114e-11\n 1.09788116e-11 4.26733510e-11 5.90330000e-01 4.89632326e-12\n 2.79410328e-01 3.01645152e-12 2.76640496e-01 7.06404959e-02\n 1.63627933e-01 6.31673751e-12 1.63000000e-01 6.92654703e-12\n 1.32308618e-01 3.73086184e-02 6.25056371e+00 2.73460351e+00\n 1.06169016e+00 7.58825516e+00 2.47705832e+00 1.16897496e-10\n 1.13893871e-01 1.79621994e-09 3.87443019e-10 1.03616211e-09\n 2.83958704e-02 9.46578082e-02 3.15398709e-09 3.29467332e-10\n 3.60256039e-09 2.66552685e+00 1.25953871e+00 7.20116478e-01\n 1.03387148e+00 5.22503367e-01 2.60949893e-01 8.32065365e-02\n 7.71345316e-02 5.87546369e-11 1.95087078e-04 3.79913037e-09\n 2.77553645e-03 6.16506382e-02 1.45108350e-10 1.26964738e+00\n 6.73372710e-01 3.68703723e-01 7.63011890e-02 1.49640218e-01\n 4.27911039e-11 2.27415334e-03 9.66295804e-11 4.13740071e-10\n 6.27466231e-02 7.22642816e-11 6.24686218e-02 1.85090816e-10\n 6.35606033e-03 2.22518788e-02 2.23358477e-02 1.16627509e-10\n 8.32042348e-02 4.21883026e-03 3.37681547e-03 2.95794701e-10\n 5.82829803e-02 1.09037029e-02 1.81201360e-10 1.17739617e-09\n 1.17214455e-01 3.92275966e-10 1.70468790e-09 1.29651208e-10\n 1.02420126e-01 7.01055858e-03 3.88602311e-10 8.33892444e-11\n 1.57180728e-01 1.00437292e-02 3.02868692e-02 1.55016330e-09\n 9.62734351e-01 4.96809762e-01 2.58646710e-01 7.15358098e-02\n 8.96658507e-02 2.27152066e-10 6.30869214e-01 2.97179564e-01\n 1.32685072e-01 1.16833042e-09 3.32475223e-10 1.12227457e-09\n 3.05457181e-04 2.51967128e-03 3.03690040e-02 9.07205816e-11\n 4.12702249e-02 4.21178176e-10 4.99166123e-03 1.78166315e-02\n 2.41358044e-02 1.13542598e-10 2.04753917e+00 2.23134821e+00\n 2.75757653e-10 5.80268574e-10 3.33016099e+00 5.21213058e-10\n 2.76167856e-10 1.31200199e+00 6.22453475e-01 3.26630347e-01\n 3.45555577e-10 3.22106678e-02 5.58577970e-10 5.68414746e-10\n 5.95044359e-02 2.63821566e-02 1.32864278e-10 5.83473581e+00\n 1.90026597e+00 8.70654930e-11 4.03023988e-10 3.33350124e-03\n 6.14957818e-02 3.57359765e-10 1.20951282e-09 2.69427760e-09\n 2.01361097e-01 3.69720177e-01 1.25521741e-02 2.79480321e-03\n 1.15144331e-09 2.37432484e-10 1.22615114e-01 1.33326244e-10\n 1.00193016e-01 1.66276821e-01 2.93336559e-11 3.30470331e-11\n 1.61490455e-02 1.37420745e-11 7.43716293e-02 1.24125248e-01\n 1.77901179e-02 1.61594952e-09 4.72300713e-01 7.86951852e-01\n 6.72963865e+00 2.18601754e+00 2.74282234e-10 2.75691186e-10\n 6.31124666e+00 1.86785188e+00 2.75356658e-10 5.25448534e-03\n 5.45977980e-02 3.58992615e-09 3.47241766e-01 1.61200050e-01\n 6.51458470e-02 4.82208230e-05 5.81805485e-11 1.37749298e-11\n 1.36846561e-10 1.33376328e-01 1.69812845e-01 1.30920000e-01\n 8.04404575e-02 1.34810000e-01 2.99880458e-01 2.58020458e-01\n 1.90203303e-02 7.30580428e-02 3.50913379e-02 1.45148151e-02\n 3.03200000e-02 2.61717183e-02 2.15388055e-02 7.66337006e-02\n 2.50026357e-01 2.59296357e-01 5.89063572e-02 5.71701681e-02\n 5.46130717e-02 2.57117801e-02 2.59184946e-02 3.07200001e-02\n 2.84271369e-02 1.74191439e-02 2.78447137e-01 2.39622081e-01\n 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4.63890385e-02 2.98973799e-02 9.53379743e-03 2.26081536e-02\n 5.48328543e-03 2.43093987e-11 4.49143480e-12 5.03470951e-03\n 2.26081536e-02 3.46792381e-12 1.57314990e-12 5.48328547e-03\n 2.57695744e-02 2.45420863e-02 1.06955152e-02 8.96966975e-03\n 2.15516063e-02 3.00189923e-02 8.96966974e-03 1.08197033e-11\n 1.06955151e-02 2.57695743e-02 1.88998211e-02 4.47122866e-02\n 8.96967054e-03 2.20580289e-02 1.06810171e-02 2.06805617e-02\n 3.00189923e-02 1.06955151e-02 8.96966974e-03 1.06955151e-02\n 8.98037588e-03 4.55195425e-02 6.32693673e-12 3.75811671e-12\n 2.67404282e-12 5.20762994e-02 1.33008561e-02 8.64152116e-12\n 2.76428631e-02 6.72238141e-03 1.33008559e-02 1.12405175e+00\n 1.37371369e-10 3.17487893e-01 5.49857300e-01 7.71259545e+00\n 4.22940443e-11 9.12143942e-11 9.46848610e-11 3.78773985e-11\n 2.79798329e-10 5.60009520e-11 2.04070593e-01 1.56805877e+00\n 7.70911440e-10 9.43242231e-10 7.74489960e-10 2.27580968e-09\n 2.53835279e-01 5.74861221e-02 1.88586737e-11 1.46303555e-11\n 3.34179475e+01 6.50945962e-11 1.21301801e+00 2.40202165e+00\n 7.26708037e-03 1.13384449e-01 2.63371702e-01 1.36460369e-10\n 4.35619923e-10 1.34853668e-09 2.52175123e-11 2.74314113e-10\n 2.74314113e-10 2.03036949e-11 1.46418661e-09 2.74314113e-10\n 1.68216153e-09 2.84972949e-10 1.49812306e-11 4.98024965e-10\n 4.10871718e-10 8.76085001e-02 9.15306533e+00 1.50677793e+00\n 2.42427501e+01 4.30849556e-11 4.08915812e-11 4.80223900e-12\n 9.04445485e-12 2.23075399e-11 3.61039836e-13 2.19219806e-04\n 4.38765900e-12 4.63470832e-13 5.93549023e-12 4.49631789e-03\n 8.07323570e-04 8.97943136e-12 1.38207322e-11 8.00818199e-02\n 7.50036428e-02 6.21035173e-02 7.50036428e-02 1.08470506e-01\n 4.50805078e-12 2.89430734e-03 5.37949829e-11 5.80771748e-11\n 5.38951809e-11 4.21072444e-13 9.91233623e-13 2.58038370e-13\n 2.85340729e-03 1.38373081e-11 2.76428631e-02 1.56649441e-02\n 3.76199201e-12 3.89232852e-12 5.47729933e-11 1.89010982e-11\n 5.22657517e-13 6.11461444e-13 3.76705865e-03 8.26614657e-03\n 3.92498085e-12 1.03034844e-13 1.56649441e-02 2.91696467e-11\n 2.46989645e-11 7.60341027e-13 7.26388536e-04 2.54494628e-10\n 1.52703162e-10 5.31604444e-11 1.45541879e-03 9.12318256e-12\n 2.47384411e-03 5.46699588e-12 1.44182594e-10 2.68740780e-12\n 5.66501438e-04 3.45005797e-13 5.91383444e-13 7.56064653e-13\n 6.18425613e-13 3.01971802e-02 7.15013911e-12 1.71455986e-11\n 2.98726646e-12 5.38750267e-13 1.26429531e-12 7.71948757e-13\n 2.08613382e-12 4.56614004e-12 3.10102134e-02 4.28999243e-11\n 6.34799967e-12 3.85198571e-12 9.79670986e-04 3.31191871e-03\n 1.27484959e-02 5.36235794e-02 1.96068079e-02 3.30491677e-12\n 4.72201809e-12 2.36620218e-05 1.01380603e-11 2.79713620e-12\n 1.89091050e-12 4.38692589e-05 3.40093163e-13 1.49533407e-13\n 4.58327061e-12 4.21796802e-03 2.70303273e-11 4.69454797e-12\n 5.03116606e-02 5.64226518e-03 4.99702466e-12 5.64226518e-03\n 2.51325154e-03 3.86152451e-03 5.60818580e-12 1.45509672e-01\n 5.84050712e-12 8.63720674e-02 5.79562139e-12 3.39157195e-12\n 9.13826406e-11 9.13889414e-11 9.14065812e-11 9.13816946e-11\n 9.13917732e-11 4.21378836e-10 6.85524810e-11 7.13730773e-11\n 8.33301742e-11 7.35798133e-11 6.88712962e-11 6.86934806e-11\n 1.43233969e-10 1.66638435e-09 1.42415049e-10 1.37016422e-10\n 1.37038659e-10 1.37050152e-10 3.91951054e-11 3.91993248e-11\n 3.92033021e-11 3.92270208e-11 3.92541364e-11 1.18045586e-10\n 3.91590250e-11 3.97446081e-11 3.91800708e-11 3.92528408e-11\n 5.37839804e-11 3.91931305e-11 3.91966603e-11 3.92026213e-11\n 3.92445705e-11 3.92235682e-11 7.59739020e-03 3.93013919e-11\n 6.97794675e-11 4.36372594e-11 3.92414672e-11 8.84629319e-11\n 3.93287670e-11 4.98399469e-11 3.92657117e-11 3.92278700e-11\n 3.92549465e-11 5.95033706e-11 6.85567166e-11 6.85326021e-11\n 6.84909924e-11 8.92828598e-11 6.86571373e-11 6.86344804e-11\n 1.17290318e-10 7.28958033e-11 6.85852704e-11 8.34426931e-11\n 7.14663932e-11 1.46487337e-10 6.86189687e-11 6.86019669e-11\n 8.31960605e-11 3.87928539e-10 6.86114295e-11 6.86859519e-11\n 6.87481033e-11 7.19697969e-11 3.91931438e-11 3.91965625e-11\n 3.92012065e-11 3.92317247e-11 3.92292298e-11 4.73955099e-11\n 3.91950771e-11 3.92003202e-11 3.92059403e-11 4.04592646e-11\n 4.40758455e-11 4.06591167e-11 3.88418065e-11 3.91229771e-11\n 3.92754207e-11 7.21265810e-11 3.93717951e-11 4.32656496e-11\n 3.92028330e-11 3.92243322e-11 3.92720588e-11 6.00858250e-11\n 2.73911960e-10 2.73802650e-10 1.96272686e-01 5.19920844e-10\n 2.73657484e-10 5.76231571e-10 4.28187020e-01 2.73810316e-10\n 2.74007139e-10 2.74077728e-10 1.52619471e-09 3.07290550e-10\n 6.07417291e-11 6.09251382e-11 5.48861483e-11 5.49230826e-11\n 9.33895809e-11 5.48549075e-11 5.48606000e-11 1.48986521e-10\n 6.35490261e-11 5.47587377e-11 5.48887643e-11 6.43845662e-11\n 5.77168876e-11 5.60389918e-11 5.48780686e-11 5.48887329e-11\n 5.49379114e-11 5.50791552e-11 2.81253969e-11 3.14021918e-11\n 3.92295980e-11 5.55538173e-11 2.74590943e-11 2.74565492e-11\n 5.45469652e-10 2.44963685e-11 1.39022885e-11 4.35995628e-02\n 1.37281997e-11 1.37263996e-11 1.37436845e-11 9.68878887e-11\n 9.14147777e-11 9.13981801e-11 9.13822816e-11 9.13935049e-11\n 1.37023188e-10 2.72945733e-10 2.73620721e-10 2.73761146e-10\n 2.16370787e-01 5.48455805e-11 5.49159758e-11 5.57826408e-11\n 1.37243222e-11 1.37263443e-11 1.37286871e-11 1.36684603e-11\n 1.79279075e-11 3.64993143e-02]"", ""info"": {""exitFlag"": 0, ""pcost"": 358.9429374770657, ""dcost"": 358.9429374395731, ""pres"": 1.1798388064088597e-11, ""dres"": 1.8755017388659256e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.33270284213679374, ""dinfres"": NaN, ""gap"": 2.791006130251696e-06, ""relgap"": 7.775626260153267e-09, ""r0"": 1e-08, ""iter"": 25, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.011085332, ""tsetup"": 0.000668416, ""tsolve"": 0.010416916}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2591,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,boeing1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:18,0.024169921875,OPTIMAL,-358.94293750712666,-358.94293750712677,1.1368683772161603e-13,1.4666487834431531e-15,2.166391522254664e-18,972,"{""solver_solve_time"": 0.018418584018945694, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -358.94293750712677, ""solver_stats"": {""solve_time"": 0.018418584018945694, ""num_iters"": 972, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2587,cvxpy_osqp,unknown,NETLIB,boeing1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:14,0.27176713943481445,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2590,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,boeing1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:18,0.03005194664001465,OPTIMAL,-358.94293750712677,-358.94293750712666,-1.1368683772161603e-13,7.214253608578979,4.346678000776243e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -358.94293750712666, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2585,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,boeing1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:13,4.098150968551636,OPTIMAL (INACCURATE),-358.12228281616666,-357.67691268514227,-0.44537013102439005,4.170838823475981e-06,4.0525743669059664e-07,100000,"{""solver_solve_time"": 4.092576416, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -357.67691268514227, ""solver_stats"": 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5.93803351e-13 6.89478424e-01 5.19406060e-13\n 4.76002468e-13 2.40264203e-12 1.58948783e-12 8.40781617e-13\n 3.02710648e-02 2.88631072e-13 1.63139680e-12 5.19930301e-13\n 5.00987027e-12 2.86621194e-13 1.61736646e-12 7.65461946e-13\n 4.82614514e-13 4.96612276e-13 4.79939910e-13 2.03533476e+00\n 4.93805185e-13 7.28906928e-12 4.82691199e-13]"", ""info"": {""exitFlag"": 0, ""pcost"": 324.8436280153264, ""dcost"": 324.84362801540317, ""pres"": 2.789069467670771e-15, ""dres"": 2.5561011185846937e-15, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 1.0157299458176834, ""dinfres"": NaN, ""gap"": 5.02760001913654e-08, ""relgap"": 1.5476985187772085e-10, ""r0"": 1e-08, ""iter"": 20, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.0025412499999999997, ""tsetup"": 0.000240125, ""tsolve"": 0.002301125}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2600,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,boeing2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:25,0.0047740936279296875,OPTIMAL,-324.8436280152029,-324.84362801520285,-5.684341886080802e-14,4.3431867495320903e-16,2.96225006077286e-18,132,"{""solver_solve_time"": 0.0016517527401447296, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -324.84362801520285, ""solver_stats"": {""solve_time"": 0.0016517527401447296, ""num_iters"": 132, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2596,cvxpy_osqp,unknown,NETLIB,boeing2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:22,0.09058618545532227,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2599,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,boeing2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:24,0.014008760452270508,OPTIMAL,-324.8436280152029,-324.84362801520285,-5.684341886080802e-14,0.9951224607726539,4.8273449295642785e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -324.84362801520285, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2594,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,boeing2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:20,0.14488601684570312,OPTIMAL,-323.7751410818736,-323.77204353389357,-0.003097547980019044,6.371189594788408e-06,2.8871996037638065e-05,8125,"{""solver_solve_time"": 0.141846, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -323.77204353389357, ""solver_stats"": {""solve_time"": 0.141846, 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""res_pri"": 0.0057792421668678845, ""res_dual"": 0.46809491334605674, ""gap"": 0.003097547980035454, ""res_infeas"": 308.856334391112, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 1.651076648801082e-07, ""solve_time"": 141.846, ""setup_time"": 0.48125, ""lin_sys_time"": 118.39643899999875, ""cone_time"": 4.763645999999887, ""accel_time"": 3.9199849999999428, ""rejected_accel_steps"": 69, ""accepted_accel_steps"": 2, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2598,cvxpy_sdpa,unknown,NETLIB,boeing2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:24,0.02117776870727539,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3331,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,boeing2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:37:48,0.8399980416666667,OPTIMAL,-324.843625961684,-324.84362922326557,3.2615815825920436e-06,2.2580823779107347e-14,1.1551955405172594e-12,30,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.8399980416666667, ""setup_time"": [], ""iterations"": 30, ""primal_objective_value"": -324.843625961684, ""dual_objective_value"": -324.84362922326557, ""duality_gap"": 3.2615815825920436e-06, ""primal_infeasibility"": 2.2580823779107347e-14, ""dual_infeasibility"": 1.1551955405172594e-12, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:37:46"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": 0, ""iter"": 30, ""full_info"": {""dimacs"": [2.269837371338295e-14, 0, 1.860859981786189e-09, 0, 5.012518529697489e-09, 5.529488037682086e-09], ""termcode"": 0, ""iter"": 30, ""obj"": [-324.84362596168364, -324.84362922326557], ""gap"": 3.597967393817367e-06, ""relgap"": 5.529488037682086e-09, ""pinfeas"": 2.2580823779107347e-14, ""dinfeas"": 7.906471909534034e-10, ""cputime"": 0.6115610000000089, ""time"": {""preproc"": 0.07058500000000123, ""pred"": 0.35654700000001327, ""pred_pstep"": 0.010350999999985788, ""pred_dstep"": 0.0103549999999899, ""corr"": 0.06952400000000836, ""corr_pstep"": 0.004969000000016877, ""corr_dstep"": 0.008037999999991996, ""pchol"": 0.016153999999986013, ""dchol"": 0.007152999999995302, ""misc"": 0.06026800000000776}, ""resid"": [], ""reldist"": [], ""normX"": 100065.16699715013, ""normy"": 1986946262.7111764, ""normZ"": 1986946262.7111793, ""normb"": 100521.5793682501, ""maxb"": 100001, ""normC"": 19.229213690694394, ""maxC"": 8.17016, ""normA"": 4280.091248376089, ""msg1"": ""linsysolve: Schur complement matrix not positive definite"", ""msg2"": ""stop: max(relative gap, infeasibilities) < 1.00e-08"", ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 30, ""full_info"": {""dimacs"": [2.269837371338295e-14, 0, 1.860859981786189e-09, 0, 5.012518529697489e-09, 5.529488037682086e-09], ""termcode"": 0, ""iter"": 30, ""obj"": [-324.84362596168364, -324.84362922326557], ""gap"": 3.597967393817367e-06, ""relgap"": 5.529488037682086e-09, ""pinfeas"": 2.2580823779107347e-14, ""dinfeas"": 7.906471909534034e-10, ""cputime"": 0.6115610000000089, ""time"": {""preproc"": 0.07058500000000123, ""pred"": 0.35654700000001327, ""pred_pstep"": 0.010350999999985788, ""pred_dstep"": 0.0103549999999899, ""corr"": 0.06952400000000836, ""corr_pstep"": 0.004969000000016877, ""corr_dstep"": 0.008037999999991996, ""pchol"": 0.016153999999986013, ""dchol"": 0.007152999999995302, ""misc"": 0.06026800000000776}, ""resid"": [], ""reldist"": [], ""normX"": 100065.16699715013, ""normy"": 1986946262.7111764, ""normZ"": 1986946262.7111793, ""normb"": 100521.5793682501, ""maxb"": 100001, ""normC"": 19.229213690694394, ""maxC"": 8.17016, ""normA"": 4280.091248376089, ""msg1"": ""linsysolve: Schur complement matrix not positive definite"", ""msg2"": ""stop: max(relative gap, infeasibilities) < 1.00e-08"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3330,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,boeing2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:37:42,0.5947908333333334,OPTIMAL,-324.8436280152058,-324.84362801520285,2.9558577807620168e-12,1.2717653944688826e-15,4.4283861004477616e-18,29,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.5947908333333334, ""setup_time"": [], ""iterations"": 29, ""primal_objective_value"": -324.8436280152058, ""dual_objective_value"": -324.84362801520285, ""duality_gap"": 2.9558577807620168e-12, ""primal_infeasibility"": 1.2717653944688826e-15, ""dual_infeasibility"": 4.4283861004477616e-18, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:37:40"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 29, ""feasratio"": 1, ""full_info"": {""iter"": 29, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.2826386925560643e-15, ""timing"": [0.1969311386346817, 0.36228932440280914, 0.006095319986343384], ""wallsec"": 0.5653157830238342, ""cpusec"": 1.7800000000000002}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 29, ""feasratio"": 1, ""full_info"": {""iter"": 29, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.2826386925560643e-15, ""timing"": [0.1969311386346817, 0.36228932440280914, 0.006095319986343384], ""wallsec"": 0.5653157830238342, ""cpusec"": 1.7800000000000002}}, ""problem_class"": ""LP""}" +2592,scipy_linprog,scipy-1.15.3,NETLIB,boeing2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:19,0.0040509700775146484,OPTIMAL,-324.8436280152029,,,0.0,,160,"{""solver_solve_time"": 0.0040509700775146484, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -324.8436280152029, ""scipy_nit"": 160, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2602,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:26,0.007255077362060547,OPTIMAL,730.0389002811955,730.0388963502697,3.930925799977558e-06,1.3223721997225109e-08,3.006589594794165e-14,19,"{""solver_solve_time"": 0.004412085, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 730.0388963502697, ""solver_stats"": {""solve_time"": 0.004412085, ""num_iters"": 19, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2606,cvxpy_cvxopt,unknown,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:30,0.016616106033325195,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2604,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:29,0.00544285774230957,OPTIMAL,730.0388964302604,730.0388934219393,3.0083210731390864e-06,8.762133822067164e-09,5.5741552105351316e-14,21,"{""solver_solve_time"": 0.002909416, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 730.0388934219393, ""solver_stats"": {""solve_time"": 0.002909416, ""setup_time"": 0.000247416, ""num_iters"": 21, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 1.01225041e+02 5.37608700e-01 2.74251778e+02 -4.80641521e+01\n 2.08353322e+02 1.84403485e+01 1.18762639e+02 5.68540440e+01\n 1.83770595e+02 -4.88686310e+01 1.34541599e+02 1.02412773e+02\n -6.94278014e+00 1.07992066e+03 -1.74288624e+01 1.02767772e+03\n 3.03940227e+02 -1.48274714e+01 -4.08002774e+01 -2.01432177e+01\n 2.32282324e-01 1.72009999e+02 2.33032050e+00 1.58881927e-01\n -2.22067674e+01 -1.44445768e+01 1.00000009e+00 -2.22067671e+01\n -2.65204796e+02 1.02203556e+02 -9.95876863e+01 -2.22067675e+01\n 6.28218747e+01 1.00000007e+00 6.12625683e+01 6.14856557e+01\n 7.62948179e+01 8.69565804e+01 -2.55403328e+01 -2.48390514e+00\n 9.03804858e+01 5.03580261e+02 -2.16123921e+01 5.20415884e+02\n 2.70082139e+02 3.60293511e+02 -1.80251444e+01 -2.38915814e+01\n -3.50132081e+01 7.75367711e+01 7.75367711e+01 -2.37083663e+01\n 7.75367711e+01 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""dcost"": -730.0388964302605, ""pres"": 2.939254208566491e-11, ""dres"": 7.856876058436105e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.1207129710703424, ""gap"": 1.9466017935726266e-06, ""relgap"": 2.666435735291095e-09, ""r0"": 1e-08, ""iter"": 21, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.003156832, ""tsetup"": 0.000247416, ""tsolve"": 0.002909416}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2609,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:32,0.004776954650878906,OPTIMAL,730.0388779884927,730.0388779884928,-1.1368683772161603e-13,7.576701253427782e-15,8.081696684435528e-20,44,"{""solver_solve_time"": 0.0011997073888778687, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 730.0388779884928, ""solver_stats"": {""solve_time"": 0.0011997073888778687, ""num_iters"": 44, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2605,cvxpy_osqp,unknown,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:29,0.08608174324035645,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2608,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,bore3d,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:31,0.011766910552978516,OPTIMAL,-10.948650659140247,730.0388779884929,-740.9875286476332,34.411649903812155,1.0977550128940245e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 730.0388779884929, ""solver_stats"": 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""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:39,0.006824970245361328,OPTIMAL,1518.5098964881279,1518.5098964881277,2.2737367544323206e-13,4.968215499081715e-15,6.624734809360032e-15,211,"{""solver_solve_time"": 0.003770750015974045, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1518.5098964881277, ""solver_stats"": {""solve_time"": 0.003770750015974045, ""num_iters"": 211, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2614,cvxpy_osqp,unknown,NETLIB,brandy,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:36,0.14215588569641113,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2617,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,brandy,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:38,0.01810479164123535,OPTIMAL,0.0,1518.509896488124,-1518.509896488124,11.212645101271804,1.6296257048494826e-14,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1518.509896488124, ""solver_stats"": {""solver_name"": 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3.70677352e-10 4.91007455e-10 6.73042153e-10\n 1.08068776e-09 5.58247050e-10 6.26351553e-08 2.84004880e+02\n 9.39365700e+01 1.02241700e+01 8.71593000e+00 1.42205847e+00\n 7.52613768e-09 3.74187182e-09 9.39452465e+00 8.47550489e+01\n 1.00002000e+00 8.71593000e+00 1.93372999e+00 3.38355471e-01\n 1.20121812e-08 1.77353016e+00 4.50108182e+00 1.00002000e+00\n 8.57062660e+00 1.69532171e+00 1.07402172e+00 3.01229541e-01\n 2.00532516e-09 2.23810803e-09 9.15414244e-01 8.51219658e+00\n 1.65860310e+00 1.23897809e+00 6.48409382e-01 1.75447195e-09\n 1.88939278e-09 4.56938515e+00 8.71593000e+00 1.93373000e+00\n 1.70408000e+00 1.63966000e+00 8.37615279e+00 1.70001000e+00\n 3.56976434e-10 4.73783193e-10 6.51294645e-10 1.05508829e-09\n 6.19715245e-10 4.17780213e-09 7.98969898e+01 9.60127974e+01\n 1.06252246e+01 9.40015000e+00 1.13408843e+00 7.98431094e-09\n 3.95075169e-09 1.22086883e+01 8.89830577e+01 1.00002000e+00\n 9.40015000e+00 1.98411544e+00 2.66004317e-09 1.29608845e-09\n 1.79581954e+00 5.21245063e+00 1.00002000e+00 9.25433478e+00\n 1.81443962e+00 8.02612183e-01 2.13880365e-01 3.87131762e-09\n 6.22529561e-01 9.15414244e-01 9.15235172e+00 1.73711965e+00\n 1.18551078e+00 5.15150571e-01 3.20823480e-09 2.40140292e-08\n 4.79604069e+00 9.40015000e+00 2.08553000e+00 1.83785000e+00\n 1.76837000e+00 1.05035210e+01 2.30001000e+00 1.67122843e-10\n 2.31755024e-10 3.38157518e-10 6.60584447e-10 8.95777852e-10\n 2.77274253e-10 7.98969898e+01 9.61966000e+01 1.07451800e+01\n 1.01422600e+01 4.87436440e-01 8.23111301e-09 3.99389622e-09\n 4.53580484e+00 9.17207179e+01 1.00002000e+00 9.78477172e+00\n 1.11189211e+00 2.55669045e-01 1.66770094e-01 6.12875907e+00\n 8.79511100e-01 1.00002000e+00 9.95399904e+00 1.88898493e+00\n 2.49723382e-01 1.26545026e-01 4.01730867e-01 6.60641929e+00\n 9.15414245e-01 1.01422600e+01 2.25018000e+00 7.09411708e-01\n 1.80991799e-10 2.33257515e-01 6.18208451e+00 5.59605069e+00\n 1.01422600e+01 2.25018000e+00 1.98295000e+00 1.90798000e+00\n 8.47477721e+00 2.90001000e+00 1.75680272e-11 2.42865632e-11\n 3.56125179e-11 7.44186711e-11 8.56194728e-11 2.75876220e+00\n 2.88505342e+00 2.81275356e+00 2.89964864e+00 4.82598732e-11\n 1.42955588e-08 1.03080787e+00 1.35825712e+00 1.31652223e+00\n 1.03878055e-09 1.99996002e-01 4.24968632e-09 1.35048813e+00\n 4.50098026e+00 1.13087600e-09 8.00003990e-01 1.35928044e-09\n 1.03068953e+00 2.26137507e+00 1.25196432e-09 3.99601651e-09\n 1.56735048e-09 1.41993697e+00 2.83987395e+00 1.39633500e-09\n 3.42954733e-09 6.85086085e-09 9.99999992e-01 9.99999989e-01\n 8.75556499e-09 3.97395078e-09 2.04131260e-09 5.20575765e-09\n 9.89130004e-09 3.26177654e-02 9.67382221e-01 1.61085509e-01\n 5.50637034e-01 2.83315884e-01 9.99999998e-01 1.00000000e+01\n 1.00000000e+01 1.00000000e+01 1.00000000e+01 1.51965733e-10\n 2.15133905e-10 2.19577205e-10 1.79805442e-10 8.20541382e-01\n 3.99994669e-01 9.03036427e-10 3.15152300e-10 1.00000080e-02\n 1.67372733e-09 3.12904925e-08 1.20241991e-08 1.15971458e-08\n 8.17227291e-09 1.32989859e-09 3.34842430e-08 1.23628225e-08\n 1.18225511e-08 2.32718282e-09 2.00000001e-01 3.33699486e-08\n 1.32636240e-08 1.28778368e-08 3.57407640e-09 3.00000001e-01\n 6.51032257e-09 1.68904662e-09 1.42266233e-09 2.67016430e-10\n 1.99523619e-10 3.26655872e-09 3.01218198e-09 9.46571654e-09\n 2.30452863e-01 4.49967101e-01 3.39729738e+00 4.38732838e+00\n 2.80830286e-09 6.99055017e-09 1.96832309e-01 4.97185276e-01\n 3.07661634e+00 4.60665934e+00 2.94537463e-09 9.84308134e-10\n 1.49015489e-01 3.94952699e-01 2.63176954e+00 4.70182454e+00\n 2.88537201e-09 1.60620480e-01 1.10488073e-01 1.25564581e-10\n 2.34749172e+00 4.95755872e+00 4.57629855e-08 2.68257442e-08\n 8.76744374e-09 3.58294194e+00 6.75409264e+00 6.92054140e+00\n 6.38561710e+00 4.08905800e-09 4.31290301e+00 6.41534202e+00\n 6.41534200e+00 1.44436515e-09 4.53059127e+00 3.85450104e+00\n 3.91985136e-09 7.67454185e-09 7.33658191e-01 1.63098348e+00\n 5.95693704e+00 2.05217432e-10 2.52912883e-09 4.14300665e-09\n 5.94498050e-09 8.05937304e+00 1.63580899e-10 2.82193281e-10\n 3.78079765e+00 1.01618090e+01 7.35174706e-08 4.71921178e-09\n 5.19036268e-09 1.52552665e+03 7.93336608e-08 5.71128800e-09\n 1.85710126e+03 8.79905929e-08 6.28002594e-09 2.20147060e+03\n 9.53357799e-08 6.90542130e-09 2.58090167e+03 1.03777103e-07\n 7.59916171e-09 3.01840246e+03 1.12814956e-07 8.36264204e-09\n 3.34001218e+03 1.22570073e-07 9.20746934e-09 3.74751312e+03\n 1.33662053e-07 1.01359517e-08 4.22957914e+03 1.46379938e-07\n 1.11597705e-08 4.74564821e+03 1.62543833e-07 5.29634682e+03\n 1.24032604e-09 1.24605795e-08 4.14802963e-08 5.23986088e-01\n 7.14340279e-01 9.09521549e-09 6.95382464e-10 1.70871358e-08\n 2.88358123e-08 7.57432430e-01 1.29340373e+00 9.13322440e-09\n 1.38415754e-09 1.81115306e-08 5.64161071e-09 6.68625246e-01\n 1.37189390e+00 1.01741190e-08 4.53685534e-11 1.72747343e-08\n 1.14051067e+00 6.87324368e-01 4.80700510e-10 1.09766900e-08\n 2.76794174e-06 2.64453507e-09 5.26183779e-09 1.30886762e+00\n 1.51985000e+00 9.28404113e-09 2.16515159e-08 4.58840610e-01\n 1.51984999e+00 7.91732770e-02 1.17318261e-01 2.24610051e-01\n 9.53026895e-01 9.90007220e-02 1.37085171e-01 2.28208363e-01\n 6.67781631e-01 1.05449051e-09 1.42016655e-09 2.11365140e-09\n 4.65464673e-09 1.83316778e-09 1.91671047e-09 2.07227537e-09\n 2.10243008e-09 1.68029569e-07 6.19033644e-09 5.11671537e-01\n 1.70408000e+00 1.63966000e+00 6.08468109e-09 1.31621106e-08\n 1.36572453e+00 1.63965999e+00 1.45303405e-01 2.38408290e-01\n 6.30058286e-01 1.33843046e+00 2.03733425e-01 2.75126904e-01\n 4.65101912e-01 9.91250621e-01 1.06422364e-09 1.43572961e-09\n 2.13822624e-09 4.71522265e-09 1.84690919e-09 1.93398177e-09\n 2.09407544e-09 2.12808338e-09 2.04107890e+02 6.66247164e-09\n 9.51441571e-01 1.83784999e+00 1.76837000e+00 1.86707113e-09\n 1.01414566e-01 1.83785000e+00 1.76837000e+00 1.45815219e-01\n 2.71090380e-01 1.03523782e+00 1.55448964e+00 2.47798285e-01\n 3.48410355e-01 6.52339218e-01 1.25321943e+00 1.19212911e-09\n 1.61328659e-09 2.40579996e-09 5.31493318e-09 2.03672997e-09\n 2.17596420e-09 2.40715395e-09 2.52249776e-09 2.04107890e+02\n 5.44782135e-09 1.76274356e+00 1.98294999e+00 1.90798000e+00\n 3.57488283e-01 1.13828789e+00 1.72728096e+00 1.74120991e+00\n 1.88260964e-01 3.61195070e-01 1.73322662e+00 1.78143498e+00\n 8.75320197e-11 1.60082420e-10 1.27353829e+00 1.90798000e+00\n 1.29187174e-09 1.75591319e-09 2.62378321e-09 5.82191931e-09\n 2.18642027e-09 2.38358425e-09 2.70986596e-09 3.10886789e-09\n 9.99999999e+00 8.96919213e+00 8.64174288e+00 8.68347778e+00\n 1.00000000e+01 9.80000400e+00 1.00000000e+01 8.64951187e+00\n 5.49901974e+00 1.00000000e+01 9.19999601e+00 1.00000000e+01\n 8.96931047e+00 7.73862494e+00 1.00000000e+01 1.00000000e+01\n 1.00000000e+01 8.58006303e+00 7.16012606e+00 1.00000000e+01\n 9.99999998e-01 9.99999995e-01 1.00513532e-08 1.31376756e-08\n 9.99999994e-01 9.99999998e-01 1.00000000e+00 9.99999997e-01\n 9.99999992e-01 9.67382237e-01 3.26177818e-02 8.38914493e-01\n 4.49362968e-01 7.16684118e-01 3.45350312e-09 2.34587948e-09\n 2.29195351e-09 2.47064945e-09 2.36879852e-09 2.00000000e+00\n 2.00000000e+00 2.00000000e+00 2.00000000e+00 1.17945862e+00\n 1.60000533e+00 2.00000000e+00 2.00000000e+00]"", ""s"": ""[1.88310779e-11 8.45949162e-12 3.51114731e-12 1.39316312e-11\n 8.93741254e-11 5.97907215e-11 1.34973779e-11 8.76626822e-11\n 1.75328009e-11 5.48208979e-12 3.20622502e-12 1.29708172e-11\n 5.94376785e-11 5.67334885e-11 1.15653963e-11 6.79592812e-11\n 1.63308434e-11 3.88488333e-12 2.91558129e-12 1.21702768e-11\n 5.25195719e-11 5.08802682e-11 1.02377758e-11 5.62695629e-11\n 1.53380951e-11 3.09996055e-12 2.64731347e-12 1.11712699e-11\n 4.34828996e-11 4.86496804e-11 8.87519207e-12 7.57679099e-11\n 1.40930749e-11 2.46829571e-12 2.43991628e-12 1.05425636e-11\n 2.52515926e-11 4.44656190e-11 1.03415413e-11 7.56448937e-11\n 1.33100041e-11 2.11823565e-12 2.26064504e-12 1.00455710e-11\n 2.41901799e-11 4.05470605e-11 1.18375125e-11 7.70144951e-11\n 1.27145983e-11 1.91973755e-12 2.10332040e-12 9.80810784e-12\n 2.44170749e-11 3.79624591e-11 1.44967054e-11 9.46320209e-11\n 1.24733702e-11 1.79490515e-12 1.97323405e-12 9.64349112e-12\n 1.95978911e-11 3.46116912e-11 2.19564777e-11 1.46900016e-10\n 1.24264060e-11 1.72593369e-12 1.85756933e-12 1.37982831e-09\n 1.43120031e-09 9.55450746e-10 9.73969505e-10 4.98204400e-10\n 5.24563281e-10 8.85958534e-10 9.15013022e-10 1.42523115e-09\n 1.49814173e-09 1.32771708e-09 1.38293410e-09 9.30337913e-10\n 9.61749208e-10 4.28496457e-10 4.55195902e-10 6.11025686e-10\n 6.31013544e-10 2.02007393e-09 2.11479814e-09 1.18855608e-09\n 1.22912110e-09 9.28784915e-10 1.00806108e-09 3.88799428e-10\n 4.10185602e-10 5.29330527e-10 5.41590705e-10 2.02054530e-09\n 2.08801379e-09 1.18409678e-09 1.23039703e-09 9.27755671e-10\n 1.03470480e-09 3.47705432e-10 3.65082804e-10 4.57283382e-10\n 4.66479159e-10 2.02086787e-09 2.04894948e-09 1.32211922e-09\n 1.14701881e-08 7.92053676e-10 1.27745080e-08 5.80639320e-10\n 1.27745056e-08 4.50942514e-10 3.43084354e-08 7.39245251e-10\n 1.66019646e-11 4.71251705e-11 4.26876339e-10 5.49379784e-10\n 2.48300389e-09 1.46495275e-08 7.62164647e-01 6.93428085e-10\n 5.54785120e-11 4.27530123e-09 5.47509332e-10 2.44432436e-09\n 3.80707362e-09 1.59224936e-01 5.23891068e-02 2.12315645e-09\n 4.25723890e-09 5.51907554e-10 2.58439152e-09 3.19652985e-09\n 7.42252951e-09 2.49177443e+00 2.36947747e+00 8.33603359e-09\n 5.53039631e-10 2.61448873e-09 3.21560045e-09 5.02461262e-09\n 2.68205727e+00 2.55976030e+00 1.03881088e-09 5.43909506e-10\n 2.38870333e-09 2.70951600e-09 2.85820414e-09 9.32280377e-10\n 3.85683030e-09 1.13912696e+01 8.62383481e+00 6.31530235e+00\n 3.98309876e+00 8.07158824e+00 5.14282920e-02 1.66030026e-11\n 4.71141920e-11 4.26070319e-10 5.10557599e-10 3.07181501e-09\n 5.39462514e-01 1.12388216e+00 4.41246156e-10 5.39709452e-11\n 4.28922403e-09 5.08528586e-10 2.28941369e-09 1.13193343e-08\n 2.92274549e-01 2.40252800e-09 9.21700868e-10 4.25723819e-09\n 5.15475037e-10 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""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.004326683592205295, ""gap"": 1.1712330399360337e-06, ""relgap"": 4.3540052709844123e-10, ""r0"": 1e-08, ""iter"": 27, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.007032375, ""tsetup"": 0.000401875, ""tsolve"": 0.0066305}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2627,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,capri,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:48,0.014030694961547852,OPTIMAL,-1668.5749574587558,2690.0129137681606,-4358.587871226917,1.8876111404297429,9.453689212583499e-15,319,"{""solver_solve_time"": 0.0058605000376701355, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 2690.0129137681606, ""solver_stats"": {""solve_time"": 0.0058605000376701355, ""num_iters"": 319, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2623,cvxpy_osqp,unknown,NETLIB,capri,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:44,0.1989731788635254,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2626,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,capri,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:48,0.031104087829589844,OPTIMAL,-86.82741478602333,2690.0129137681656,-2776.840328554189,1.9658618162251882,2.0046486248284973e-13,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 2690.0129137681656, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2621,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,capri,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:42,0.9983839988708496,OPTIMAL,-1595.5677014052667,2707.927871488122,-4303.495572893389,1.9550875350215924,0.001487351254953623,28450,"{""solver_solve_time"": 0.992723958, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 2707.927871488122, ""solver_stats"": {""solve_time"": 0.992723958, 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1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:47,0.09108304977416992,OPTIMAL,-1668.5734688621449,2690.013979434958,-4358.587448297103,1.8876110522455485,2.9604262370535237e-08,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 2690.013979434958, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3337,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,capri,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:38:26,1.7536394166666667,OPTIMAL,2690.01291373565,2690.012913853193,1.1754309525713325e-07,3.670915599130592e-12,5.623351949245715e-11,56,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 1.7536394166666667, ""setup_time"": [], ""iterations"": 56, ""primal_objective_value"": 2690.01291373565, ""dual_objective_value"": 2690.012913853193, ""duality_gap"": 1.1754309525713325e-07, ""primal_infeasibility"": 3.670915599130592e-12, ""dual_infeasibility"": 5.623351949245715e-11, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:38:24"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": 0, ""iter"": 56, ""full_info"": {""dimacs"": [9.542700132310059e-12, 0, 3.435374943845316e-10, 0, -2.184441642915473e-11, 4.470409763810478e-11], ""termcode"": 0, ""iter"": 56, ""obj"": [2690.01291373565, 2690.012913853195], ""gap"": 2.4055390398969526e-07, ""relgap"": 8.939158290790431e-11, ""pinfeas"": 9.542700132310059e-12, ""dinfeas"": 3.435374943845316e-10, ""cputime"": 1.504011999999971, ""time"": {""preproc"": 0.06881999999999877, ""pred"": 1.1023399999999945, ""pred_pstep"": 0.019498999999992606, ""pred_dstep"": 0.01759800000000311, ""corr"": 0.13860500000000542, ""corr_pstep"": 0.012298999999991622, ""corr_dstep"": 0.007200999999998459, ""pchol"": 0.03646200000000732, ""dchol"": 0.013473999999998654, ""misc"": 0.09595300000000151}, ""resid"": [], ""reldist"": [], ""normX"": 14686.985013212652, ""normy"": 2117.6239830781046, ""normZ"": 2851.555144732472, ""normA"": 11442.259474816734, ""normb"": 7400.247546645532, ""normC"": 3.237339044848408, ""msg1"": ""Stop: max(relative gap,infeasibilities) < 1.00e-08"", ""msg2"": [], ""model"": 2}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 56, ""full_info"": {""dimacs"": [9.542700132310059e-12, 0, 3.435374943845316e-10, 0, -2.184441642915473e-11, 4.470409763810478e-11], ""termcode"": 0, ""iter"": 56, ""obj"": [2690.01291373565, 2690.012913853195], ""gap"": 2.4055390398969526e-07, ""relgap"": 8.939158290790431e-11, ""pinfeas"": 9.542700132310059e-12, ""dinfeas"": 3.435374943845316e-10, ""cputime"": 1.504011999999971, ""time"": {""preproc"": 0.06881999999999877, ""pred"": 1.1023399999999945, ""pred_pstep"": 0.019498999999992606, ""pred_dstep"": 0.01759800000000311, ""corr"": 0.13860500000000542, ""corr_pstep"": 0.012298999999991622, ""corr_dstep"": 0.007200999999998459, ""pchol"": 0.03646200000000732, ""dchol"": 0.013473999999998654, ""misc"": 0.09595300000000151}, ""resid"": [], ""reldist"": [], ""normX"": 14686.985013212652, ""normy"": 2117.6239830781046, ""normZ"": 2851.555144732472, ""normA"": 11442.259474816734, ""normb"": 7400.247546645532, ""normC"": 3.237339044848408, ""msg1"": ""Stop: max(relative gap,infeasibilities) < 1.00e-08"", ""msg2"": [], ""model"": 2}}, ""problem_class"": ""LP""}" +3336,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,capri,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:38:19,0.5410163333333333,OPTIMAL,2690.0129137653894,2690.0129137657887,3.992681740783155e-10,5.829110024790832e-13,7.122463238137109e-15,29,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.5410163333333333, ""setup_time"": [], ""iterations"": 29, ""primal_objective_value"": 2690.0129137653894, ""dual_objective_value"": 2690.0129137657887, ""duality_gap"": 3.992681740783155e-10, ""primal_infeasibility"": 5.829110024790832e-13, ""dual_infeasibility"": 7.122463238137109e-15, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:38:17"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 29, ""feasratio"": 1.00711283679399, ""full_info"": {""iter"": 29, ""feasratio"": 1.00711283679399, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.5152997711520421e-12, ""timing"": [0.12381747364997864, 0.3776382654905319, 0.00415407121181488], ""wallsec"": 0.5056098103523254, ""cpusec"": 1.2800000000000002}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 29, ""feasratio"": 1.00711283679399, ""full_info"": {""iter"": 29, ""feasratio"": 1.00711283679399, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.5152997711520421e-12, ""timing"": [0.12381747364997864, 0.3776382654905319, 0.00415407121181488], ""wallsec"": 0.5056098103523254, ""cpusec"": 1.2800000000000002}}, ""problem_class"": ""LP""}" +2619,scipy_linprog,scipy-1.15.3,NETLIB,capri,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:40,0.007051944732666016,OPTIMAL,2690.012913768161,,,0.0,,206,"{""solver_solve_time"": 0.007051944732666016, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 2690.012913768161, ""scipy_nit"": 206, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2629,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,cycle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:45:51,0.18674612045288086,OPTIMAL,-5.226389191233213,-5.226389192600165,1.3669518850178974e-09,0.24095389550672366,1.0199274671120988e-09,25,"{""solver_solve_time"": 0.127885292, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -5.226389192600165, ""solver_stats"": {""solve_time"": 0.127885292, ""num_iters"": 25, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2633,cvxpy_cvxopt,unknown,NETLIB,cycle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:30,0.4676940441131592,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2631,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,cycle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:25,0.8327860832214355,OPTIMAL,-5.225579453880618,-5.2255794538805125,-1.056932319443149e-13,0.20169532956869463,5.04663371182301e-07,83,"{""solver_solve_time"": 0.741895583, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -5.2255794538805125, ""solver_stats"": {""solve_time"": 0.741895583, ""setup_time"": 0.005878333, ""num_iters"": 83, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 3.78492189e-08 5.08899704e-09 -4.10159373e-09 ... -2.13910743e-08\n -2.79947078e-08 -2.20331591e-08]"", ""y"": ""[-1.04066069e+02 -2.00056701e-09 -5.40175112e+01 -3.56950520e+02\n -6.79059186e+01 -8.86282033e+00 -3.10000000e+01]"", ""z"": ""[104.06606907 8.86282033 9.73560908 ... 210.26101988 195.27237938\n 23.68121343]"", ""s"": ""[1.04683252e-15 1.21828470e-14 1.11560870e-14 ... 5.18502584e-16\n 5.57849825e-16 4.53258297e-15]"", ""info"": {""exitFlag"": 0, ""pcost"": 5.2255794538805125, ""dcost"": 5.225579453880623, ""pres"": 3.950110805130212e-11, ""dres"": 9.965685317001647e-16, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.7777711427884744, ""dinfres"": NaN, ""gap"": 2.695704249524931e-08, ""relgap"": 5.158670484902962e-09, ""r0"": 1e-08, ""iter"": 83, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.747773916, ""tsetup"": 0.005878333, ""tsolve"": 0.741895583}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2636,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,cycle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:34,0.07630205154418945,OPTIMAL,-5.226393024894102,-5.226393024894103,8.881784197001252e-16,0.21886747959065234,4.3475445678648255e-18,832,"{""solver_solve_time"": 0.03391779214143753, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -5.226393024894103, ""solver_stats"": {""solve_time"": 0.03391779214143753, ""num_iters"": 832, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2632,cvxpy_osqp,unknown,NETLIB,cycle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:29,2.642875909805298,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2635,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,cycle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:33,0.15960097312927246,OPTIMAL,-5.226393024894102,-5.226393024894103,8.881784197001252e-16,4.6627593276465875,3.283834997644294e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -5.226393024894103, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2630,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,cycle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:22,29.212913274765015,OPTIMAL (INACCURATE),-5.013455410386616,-4.813312500333112,-0.20014291005350415,0.1099965794166672,0.00013635228820121087,100000,"{""solver_solve_time"": 29.156127375, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -4.813312500333112, ""solver_stats"": 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1, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2634,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,cycle,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:46:32,0.44646406173706055,OPTIMAL,-5.223134651316596,-5.223134651316595,-8.881784197001252e-16,0.2265230256420674,4.749437473058435e-08,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": 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(R2024a)),NETLIB,czprob,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:39:25,0.525468875,STALLED,2185439.7972924253,2185078.995565283,360.801727142185,9.642994541530755e-13,0.0,42,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""stalled"", ""solve_time"": 0.525468875, ""setup_time"": [], ""iterations"": 42, ""primal_objective_value"": 2185439.7972924253, ""dual_objective_value"": 2185078.995565283, ""duality_gap"": 360.801727142185, ""primal_infeasibility"": 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""pchol"": 0.0151170000000036, ""dchol"": 0.006721999999996342, ""misc"": 0.05356600000000711}, ""resid"": [], ""reldist"": [], ""normX"": 19248.265129200052, ""normy"": 149267124169661.8, ""normZ"": 259934139469605.56, ""normb"": 5459.909866829341, ""maxb"": 3001, ""normC"": 7036.6029627850985, ""maxC"": 308.28, ""normA"": 1268.956469590105, ""msg1"": [], ""msg2"": ""stop: dual infeas has deteriorated too much"", ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -5, ""iter"": 42, ""full_info"": {""dimacs"": [1.754411231025833e-12, 0, 7.734958195569176e-05, 0, 8.255350490148575e-05, 8.427533464596066e-05], ""termcode"": -5, ""iter"": 42, ""obj"": [2185439.797292425, 2185078.995565283], ""gap"": 368.327018119878, ""relgap"": 8.427533464596066e-05, ""pinfeas"": 9.642994541530755e-13, ""dinfeas"": 3.3887558032495037e-06, ""cputime"": 0.36902500000000416, ""time"": {""preproc"": 0.0426370000000027, ""pred"": 0.17394800000000288, ""pred_pstep"": 0.00949299999999198, ""pred_dstep"": 0.01074400000001674, ""corr"": 0.041684999999979766, ""corr_pstep"": 0.006606999999998919, ""corr_dstep"": 0.010468000000010136, ""pchol"": 0.0151170000000036, ""dchol"": 0.006721999999996342, ""misc"": 0.05356600000000711}, ""resid"": [], ""reldist"": [], ""normX"": 19248.265129200052, ""normy"": 149267124169661.8, ""normZ"": 259934139469605.56, ""normb"": 5459.909866829341, ""maxb"": 3001, ""normC"": 7036.6029627850985, ""maxC"": 308.28, ""normA"": 1268.956469590105, ""msg1"": [], ""msg2"": ""stop: dual infeas has deteriorated too much"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3340,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,czprob,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:39:20,0.4453842083333333,OPTIMAL,2185196.698856608,2185196.6988565773,3.073364496231079e-08,6.92810495258241e-14,6.2359874227712436e-21,39,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.4453842083333333, ""setup_time"": [], ""iterations"": 39, ""primal_objective_value"": 2185196.698856608, ""dual_objective_value"": 2185196.6988565773, ""duality_gap"": 3.073364496231079e-08, ""primal_infeasibility"": 6.92810495258241e-14, ""dual_infeasibility"": 6.2359874227712436e-21, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal 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(HiGHS Status 7: Optimal)"", ""scipy_fun"": 2185196.6988565777, ""scipy_nit"": 711, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2647,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:47:03,0.9904937744140625,OPTIMAL,122784.21084970619,122784.21082144929,2.8256894438527524e-05,3.104375925270556e-10,2.5013512239527817e-14,29,"{""solver_solve_time"": 0.903016581, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 122784.21082144929, ""solver_stats"": {""solve_time"": 0.903016581, ""num_iters"": 29, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2651,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:12,60.1233069896698,OPTIMAL,122784.21083311932,122784.21084043573,-7.316411938518286e-06,1.7867031374140482e-08,5.6113042303175815e-15,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 122784.21084043573, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2649,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:48:04,0.4611849784851074,OPTIMAL,122784.21105338947,122784.21103157868,2.1810788894072175e-05,2.106354658180935e-10,3.1418873914921413e-11,29,"{""solver_solve_time"": 0.354014458, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 122784.21103157868, ""solver_stats"": {""solve_time"": 0.354014458, ""setup_time"": 0.0054235, ""num_iters"": 29, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-4.17447992e-01 -1.02766704e+00 -1.29572292e-09 ... 1.34286505e-10\n -1.51786643e-01 -5.41921640e-02]"", ""y"": ""[]"", ""z"": ""[1.47099608e-08 1.02937800e-08 1.33344526e+05 ... 4.02638147e+02\n 3.38581205e-08 9.45902452e-08]"", ""s"": ""[3.50450000e-01 5.00950000e-01 3.95709877e-14 ... 1.28283746e-11\n 1.51786643e-01 5.41921640e-02]"", ""info"": {""exitFlag"": 0, ""pcost"": -122784.21103157882, ""dcost"": -122784.2110533895, ""pres"": 2.381652407296783e-10, ""dres"": 1.920503571655522e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.6719395668927524, ""gap"": 0.0009480923827937189, ""relgap"": 7.721614813731053e-09, ""r0"": 1e-08, ""iter"": 29, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.359437958, ""tsetup"": 0.0054235, ""tsolve"": 0.354014458}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2654,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:26,1.371077060699463,OPTIMAL,122784.21081418949,122784.21081418947,1.4551915228366852e-11,1.6366435887025938e-14,1.699412194322411e-18,5801,"{""solver_solve_time"": 1.2522062510252, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 122784.21081418947, ""solver_stats"": {""solve_time"": 1.2522062510252, ""num_iters"": 5801, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2650,cvxpy_osqp,unknown,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:48:10,4.5232157707214355,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2653,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:22,3.9410288333892822,OPTIMAL,122087.27749379392,122784.21081418956,-696.9333203956339,1.8311578524867687,7.2963014661543715e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 122784.21081418956, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2648,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:48:02,56.792842864990234,OPTIMAL (INACCURATE),122878.99182502563,122915.12910172241,-36.137276696783374,1.7150751533022947e-06,8.880457206557663e-07,100000,"{""solver_solve_time"": 56.696093, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 122915.12910172241, ""solver_stats"": {""solve_time"": 56.696093, ""setup_time"": 0.01682725, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-4.26097450e-01 -1.07262402e+00 6.95192665e-04 ... -1.19505944e-04\n -1.76024092e-01 -5.17444307e-04]"", ""y"": ""[0.00000000e+00 0.00000000e+00 1.36017334e+05 ... 3.91468392e+02\n 0.00000000e+00 6.40405310e+01]"", ""s"": ""[0.35063507 0.50099939 0. ... 0. 0.17602409 0. ]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 2, ""scale"": 1.1430079577683727, ""pobj"": -122915.12910172241, ""dobj"": -122878.99182502563, ""res_pri"": 0.11465819114649636, ""res_dual"": 0.009014469840703749, ""gap"": 36.137276696785165, ""res_infeas"": NaN, ""res_unbdd_a"": 0.0005498198652095697, ""res_unbdd_p"": 0.0, ""comp_slack"": 4.9459718653604595e-11, ""solve_time"": 56696.093, ""setup_time"": 16.82725, ""lin_sys_time"": 51805.34828300001, ""cone_time"": 1938.06143700008, ""accel_time"": 441.1049890001491, ""rejected_accel_steps"": 907, ""accepted_accel_steps"": 0, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2652,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:16,1.1396369934082031,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3343,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:39:42,3.3293067916666668,OPTIMAL,122784.21131611025,122784.21056036832,0.0007557419303338975,5.741729785941057e-10,1.1677986722562222e-22,61,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 3.3293067916666668, ""setup_time"": [], ""iterations"": 61, 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0.02299800000000829, ""pred_dstep"": 0.025543999999968037, ""corr"": 0.22118100000002272, ""corr_pstep"": 0.017382999999988158, ""corr_dstep"": 0.01092899999996888, ""pchol"": 0.0376410000000007, ""dchol"": 0.012176000000010845, ""misc"": 0.11477000000000714}, ""resid"": [], ""reldist"": [], ""normX"": 136530.4330741076, ""normy"": 21264.317595174412, ""normZ"": 17097.117856644727, ""normA"": 272224.6965492336, ""normb"": 14861.730873007535, ""normC"": 516.1148126972491, ""msg1"": ""Stop: max(relative gap,infeasibilities) < 1.00e-08"", ""msg2"": [], ""model"": 2}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 61, ""full_info"": {""dimacs"": [1.7064166482180726e-09, 0, 2.881927087512592e-10, 0, 3.077508403378765e-09, 3.521011242819327e-09], ""termcode"": 0, ""iter"": 61, ""obj"": [122784.21131611026, 122784.2105603683], ""gap"": 0.0008646526953197234, ""relgap"": 7.04199380945513e-09, ""pinfeas"": 1.7064166482180726e-09, ""dinfeas"": 2.881927087512592e-10, ""cputime"": 3.093505000000043, ""time"": {""preproc"": 0.0878359999999958, ""pred"": 2.5503450000000427, ""pred_pstep"": 0.02299800000000829, ""pred_dstep"": 0.025543999999968037, ""corr"": 0.22118100000002272, ""corr_pstep"": 0.017382999999988158, ""corr_dstep"": 0.01092899999996888, ""pchol"": 0.0376410000000007, ""dchol"": 0.012176000000010845, ""misc"": 0.11477000000000714}, ""resid"": [], ""reldist"": [], ""normX"": 136530.4330741076, ""normy"": 21264.317595174412, ""normZ"": 17097.117856644727, ""normA"": 272224.6965492336, ""normb"": 14861.730873007535, ""normC"": 516.1148126972491, ""msg1"": ""Stop: max(relative gap,infeasibilities) < 1.00e-08"", ""msg2"": [], ""model"": 2}}, ""problem_class"": ""LP""}" +3342,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:39:33,1.4234861666666667,OPTIMAL,122784.21416027314,122784.24511120225,0.03095092911098618,9.069446905689498e-10,6.874878962614027e-12,45,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 1.4234861666666667, ""setup_time"": [], ""iterations"": 45, ""primal_objective_value"": 122784.21416027314, ""dual_objective_value"": 122784.24511120225, ""duality_gap"": 0.03095092911098618, ""primal_infeasibility"": 9.069446905689498e-10, ""dual_infeasibility"": 6.874878962614027e-12, ""solver_version"": 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[0.08933767676353455, 1.3065911829471588, 0.00440552830696106], ""wallsec"": 1.4003343880176544, ""cpusec"": 3.750000000000001}}, ""problem_class"": ""LP""}" +2646,scipy_linprog,scipy-1.15.3,NETLIB,d2q06c,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:47:01,1.2655320167541504,OPTIMAL,122784.21081418936,,,0.0,,5696,"{""solver_solve_time"": 1.2655320167541504, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 122784.21081418936, ""scipy_nit"": 5696, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2656,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,d6cube,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:31,1.5070621967315674,OPTIMAL (INACCURATE),314.4916782710763,314.4916683734365,9.897639813516435e-06,1.8288604051931577e-09,7.739219204708392e-12,20,"{""solver_solve_time"": 1.465675749, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 314.4916683734365, ""solver_stats"": {""solve_time"": 1.465675749, ""num_iters"": 20, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2660,cvxpy_cvxopt,unknown,NETLIB,d6cube,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:49,0.3341350555419922,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2658,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,d6cube,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:45,0.17557597160339355,OPTIMAL (INACCURATE),314.49168282082474,314.49166917444956,1.3646375180087489e-05,2.4112043317750078e-09,1.118718497770535e-11,20,"{""solver_solve_time"": 0.139599833, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2662,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,d6cube,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:55,3.332066059112549,OPTIMAL,314.49166666666633,314.4916666666666,-2.8421709430404007e-13,1.5767643411109137e-16,5.93537800165012e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 314.4916666666666, ""solver_stats"": 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1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:39:48,0.22301725,NUM_ERROR,0.0,92.03923662407331,92.03923662407331,0.9999247906716251,0.0,2,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""num_error"", ""solve_time"": 0.22301725, ""setup_time"": [], ""iterations"": 2, ""primal_objective_value"": 0, ""dual_objective_value"": 92.03923662407331, ""duality_gap"": 92.03923662407331, ""primal_infeasibility"": 0.9999247906716251, ""dual_infeasibility"": 0, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Complete numerical failure"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:39:46"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 2, ""iter"": 2, ""feasratio"": 1, ""full_info"": {""iter"": 2, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 2, ""r0"": 1e+308, ""timing"": [0.0902026891708374, 0.10432451963424683, 0.002987310290336609], 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(HiGHS Status 7: Optimal)"", ""scipy_fun"": 314.4916666666666, ""scipy_nit"": 441, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2665,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,degen2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:49:59,0.01826310157775879,OPTIMAL,-1435.1780009401546,-1435.1779999988144,-9.413402040081564e-07,7.419815498181331e-10,2.8794946049641933e-14,12,"{""solver_solve_time"": 0.013127415, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -1435.1779999988144, ""solver_stats"": {""solve_time"": 0.013127415, ""num_iters"": 12, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2669,cvxpy_cvxopt,unknown,NETLIB,degen2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:02,0.0881507396697998,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2667,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,degen2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:01,0.015122175216674805,OPTIMAL,-1435.178000420357,-1435.1780000001022,-4.202547643217258e-07,3.3123375793569417e-10,1.3174376383366798e-14,12,"{""solver_solve_time"": 0.010246583, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -1435.1780000001022, 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3.26560947e-09 9.99999996e-01 2.26891856e-09 5.92193691e-09\n 9.99999992e-01 7.64155351e-10 2.45934053e-09 9.99999997e-01\n 2.55977049e-09 1.01745848e-09 9.99999997e-01 3.97550266e-10\n 5.58333257e-10 9.99999999e-01 9.99999999e-01 2.22752101e-10\n 6.80127221e-10 1.21013928e-10 1.00000000e+00 1.20124314e-08\n 1.08764176e-09 9.99999987e-01 1.00000000e+00 2.10617339e-10\n 2.08816222e-10 7.99999998e-01 2.00000002e-01 5.10503259e-10\n 1.65679354e-08 1.43755768e-07 9.99999840e-01 3.82871934e-09\n 1.91275206e-10 9.99999996e-01 7.99999998e-01 1.99999997e-01\n 5.25071704e-09 3.80987955e-09 1.24655643e-10 9.99999996e-01\n 2.97431716e-10 1.33109569e-09 9.99999999e-01 1.00000000e+00\n 2.47831428e-10 1.00325232e-10 1.72498635e-10 3.72891835e-10\n 1.00000000e+00 9.99999999e-01 4.01387696e-10 4.78213341e-10\n 7.91616491e-10 2.46694238e-09 9.99999997e-01 7.99999998e-01\n 2.00000002e-01 4.45002612e-10 1.00000000e+00 2.97338620e-10\n 3.93408118e-10 1.00000000e+00 9.50260054e-11 8.84906652e-11\n 9.99999995e-01 3.05838099e-10 4.64011442e-09 1.15085174e-10\n 1.00000000e+00 1.34663738e-10 1.90313294e-10 1.99999993e-01\n 8.00000007e-01 2.21511971e-09 5.20448608e-10 9.99999998e-01\n 9.99999992e-01 8.08277095e-09 4.57184269e-10 3.49306848e-09\n 1.17001269e-10 9.99999997e-01 8.77257066e-10 9.99999979e-01\n 2.01983059e-08 9.99999980e-01 2.62744578e-10 2.02039865e-08\n 7.21806898e-10 9.99999979e-01 2.01914893e-08 8.48793370e-10\n 9.99999979e-01 2.00763327e-08 1.00000000e+00 2.43474115e-10\n 2.81818886e-10 2.36480573e-10 9.99999844e-01 1.56522398e-07\n 1.00000000e+00 1.60939594e-10 1.82167084e-10 3.30906335e-09\n 1.65285064e-10 9.99999997e-01 9.99999999e-01 7.53041084e-10\n 3.31033910e-10 8.00000003e-01 1.99999996e-01 1.96845084e-09\n 9.99999998e-01 1.88674630e-10 1.74578810e-09 3.06881060e-10\n 9.99999843e-01 1.56555883e-07 9.99999995e-01 2.78619301e-10\n 4.62913043e-09 1.02761046e-10 6.21658100e-09 9.99999994e-01\n 1.99999993e-01 4.00865680e-10 8.00000007e-01 5.67137526e-09\n 3.01056866e-10 9.99999994e-01 2.99226417e-09 1.50365943e-09\n 9.99999996e-01 2.88048090e-09 1.50003181e-09 9.99999996e-01\n 5.34399604e-09 9.99999995e-01 1.24960343e-10 1.00000000e+00\n 9.99999999e-01 1.16323300e-09 1.20154322e-10 6.86658350e-10\n 9.99999999e-01 2.58198000e-10 1.74708662e-08 1.47017983e-07\n 9.99999836e-01 7.07306462e-10 9.99999999e-01 2.04047025e-10\n 1.74069648e-08 1.47027563e-07 9.99999836e-01 9.99999999e-01\n 6.89664894e-10 2.25189630e-10 9.99999999e-01 1.59783373e-10\n 1.68729042e-09 9.99999999e-01 1.12915234e-09 2.94847832e-10\n 1.00000000e+00 3.71996906e-10 1.97816059e-10 1.28271893e-08\n 9.99999987e-01 3.31982114e-10 9.99999996e-01 2.58000727e-10\n 3.82800356e-09 9.99999998e-01 4.41125845e-10 2.38532054e-09\n 3.11988548e-10 1.32075115e-09 9.99999999e-01 1.00000000e+00\n 5.89277685e-11 1.00207636e-10 3.35930527e-10 4.97613783e-11\n 5.28418953e-11 6.01871106e-11 4.28211558e-11 3.99009901e-11\n 1.78347786e-10 6.72190527e-11 4.52435655e-11 1.00000000e+00\n 1.30426661e-10 2.88905289e-10 2.15065473e-10 4.76378628e-11\n 4.89523124e-11 1.80000000e+00 1.99999996e-01 6.72827646e-11\n 5.95487735e-11 4.08375170e-11 1.27144700e-10 6.41433867e-11\n 2.36712242e-11 2.83299814e-10 8.51548556e-11 1.68989176e-10\n 1.65301315e-10 1.12789913e-10 1.66765055e-10 1.12993914e-10\n 3.72633786e-11 5.99212221e-11 7.43443556e-11 7.86736750e-11\n 9.07256550e-11 4.00000001e+00 9.99999994e-01 2.00000000e+00\n 1.00000000e+00 4.22398065e-11 4.43670150e-11 3.02446673e-10\n 5.83645468e-11 1.37541963e-10 3.62343290e-11 8.27348305e-11\n 5.53715482e-11 5.38337784e-11 3.92733064e-11 1.07246598e-10\n 3.96763090e-11 9.05393873e-11 1.18143362e-10 4.11385535e-11\n 5.43332389e-11 2.00000000e+00 7.61030700e-11 3.47981322e-09\n 3.30137947e-11 4.60889064e-11 4.26192744e-11 4.80531582e-11\n 4.31865171e-11 1.19842076e-10 7.15276622e-11 1.09638411e-10\n 7.06057898e-11 7.78891247e-11 5.07548733e-11 5.58410376e-11\n 9.69745631e-11 8.59597320e-11 2.84371573e-10 1.15221585e-10\n 7.64602017e-11 3.11130898e-10 1.13252455e-10 2.68582663e-10\n 3.34675172e-11 1.58721282e-10 4.22208325e-11 6.67581212e-11\n 3.16080145e-11 4.46362664e-11 1.05604260e-10 1.33641459e-10\n 1.11748773e-10 7.72880645e-11 5.28489859e-11 5.88911736e-11\n 1.07912496e-10 1.04315086e-10 1.20104314e-10 7.99999998e-01\n 1.29199114e-10 1.07817141e-10 2.45729525e-10 1.03708698e-10\n 9.70184182e-09 1.00507479e-08 9.99999997e-01 1.20000000e+00\n 7.56816754e-11 9.47538841e-11 5.66222468e-11 1.15499756e-10\n 1.68916009e-10 9.99999990e-01 3.19430094e-09 5.30448686e-10\n 1.59718166e-10 1.61984134e-10 6.20831635e-11 1.45333193e-10\n 9.99999990e-01 1.49298961e-10 4.97427683e-10 1.63387232e-10\n 9.50332810e-11 9.84314405e-11 8.19938428e-11 8.48842902e-11\n 5.31770714e-11 6.64476465e-11 1.31924643e-10 1.60197729e-10\n 6.01552961e-10 2.07327745e-10 4.95407989e-11 5.06174398e-10\n 6.08888148e-10 5.63201251e-11 3.32339551e-10 5.17048412e-11\n 1.64942630e-10 6.21664319e-11 1.85810744e-10 1.15841521e-10\n 6.24319594e-10 5.42567934e-11 6.75343937e-11 3.29220082e-11\n 5.94629482e-11 1.51081992e-10 1.80000001e+00 6.38375351e-11\n 3.25201152e-11 1.99999992e-01 9.26799765e-10 7.46637673e-11\n 2.49373292e-10 3.25244964e-10 1.96562326e-10 4.31943474e-10\n 9.63104198e-11 1.27485736e-10 1.20090412e-10 1.65877328e-10\n 5.03362429e-11 3.66565173e-10 1.60835846e-10 9.23201715e-11\n 1.75261026e-10 5.49489437e-11 2.24581744e-10 2.76998608e-10\n 1.00000000e+00 2.34328120e-10 2.81873271e-10 1.02974395e-10\n 1.00000000e+00 3.00000001e+00 4.00000001e+00 5.34632083e-11\n 1.00000000e+00 8.08388830e-11 1.06244201e-10 1.13019465e-10\n 1.91431954e-10 9.99999990e-01 1.17252158e-10 1.29705050e-10\n 5.66611875e-11 1.06558738e-10 1.00416880e-10 7.87803779e-11\n 4.60207756e-11 7.21287072e-11 6.38834821e-11 5.94072436e-11\n 5.53993859e-11 9.31820163e-11 2.67108159e-11 3.45587821e-11\n 1.19922390e-10 5.00000001e+00 9.99999996e-01 1.59333272e-09\n 3.96916724e-10 2.31721299e-10 1.71320795e-09 1.01734617e-10\n 1.23446498e-09 1.38528274e-09 7.75891523e-11 1.00000000e+00\n 2.00000000e+00 9.99999994e-01 9.99999995e-01 5.57880229e-09\n 5.28482168e-10 1.57491424e-10 1.17663261e-09 4.54761820e-11\n 5.85863886e-10 1.00312458e-10 1.77707132e-10 1.79810442e-10\n 1.12442029e-10 1.00000000e+00 1.00000000e+00 6.71761489e-10\n 1.68267385e-10 1.46410994e-10 1.39208818e-10 7.80347015e-11\n 4.12648336e-10 1.64326124e-09 8.07126093e-11 4.47987484e-09\n 5.77288531e-11 7.21497803e-11 3.19875521e-11 4.02259826e-11\n 1.58817618e-10 5.92838029e-11 2.28771074e-10 2.19978507e-10\n 7.66018438e-11 3.69134837e-11 7.36513882e-11 9.43787747e-11\n 4.58054683e-11 7.92957149e-11 2.86671513e-11 7.43843146e-11\n 2.84952726e-11 4.57014942e-11 6.83046328e-11 1.34943805e-10\n 1.18950457e-10 1.18950457e-10 4.74408263e-11 5.03575795e-11\n 5.51806646e-11 9.20971447e-11 8.33732654e-11 1.00000000e+00\n 7.53403290e-11 8.40261762e-11 7.08851590e-11 4.62766056e-11\n 1.09337479e-10 1.54573307e-10 1.06793828e-10 1.99999993e-01\n 1.97127261e-10 1.58964147e-10 2.28115911e-10 4.80000000e+00\n 4.80000000e+00 7.20551708e-11 1.22393351e-10 8.00000007e-01\n 1.01505447e-10 1.49370495e-10 8.01925730e-11 2.20000000e+00\n 2.20000000e+00 1.06073657e-10 2.69714998e-11 4.03660609e-11\n 3.87820274e-11]"", ""s"": ""[2.85936582e-10 5.14367127e-01 2.95262104e-10 9.37430393e-01\n 4.37817037e-10 4.60097456e-10 1.57200000e+00 2.94225662e-10\n 4.59451671e-10 1.02452970e-09 2.90178197e-10 3.52363288e+00\n 2.33217383e-09 4.74752662e-10 3.01999997e-01 3.17604190e-10\n 2.92926456e-10 4.01223019e+00 2.92171298e-10 4.44576981e+00\n 3.72935625e-02 3.27194369e-10 9.30076924e-10 4.59760955e-10\n 1.21200000e+00 2.98879582e-10 3.70457251e-10 1.39143308e-09\n 5.12800000e+00 2.96633276e-10 4.73774713e-01 2.99677226e-10\n 3.47800000e+00 2.91835018e-10 6.91999997e-01 3.03385776e-10\n 2.95638256e-10 3.54000000e-01 2.55121435e+00 2.94055261e-10\n 6.61400000e+00 6.58878565e+00 2.45738005e-09 4.65507451e-10\n 5.48400000e+00 2.93800822e-10 2.75710768e+00 2.95568854e-10\n 2.77536370e-10 1.80876855e-02 9.79884307e-01 2.98256082e-10\n 4.29884308e-01 3.06261982e-10 2.92275741e-10 1.48800000e+00\n 4.66388555e-10 1.01093322e-09 5.72115689e-01 3.03797335e-10\n 6.82115689e-01 3.01645441e-10 4.21395799e-10 1.06643861e-09\n 5.04798375e+00 2.92816038e-10 3.66226334e-02 3.15982789e-10\n 1.25153756e+00 3.99586424e-02 3.24729320e-10 1.52608607e+00\n 2.96836418e-10 1.85800000e+00 2.94237123e-10 1.67400000e+00\n 2.95792031e-10 9.55913925e-01 2.96759531e-10 2.28274779e+00\n 2.94330640e-10 4.77330981e+00 2.94355201e-10 4.52469874e-10\n 1.01825522e-09 2.91944054e-10 1.70831906e+00 2.91232399e-10\n 1.93485319e+00 2.92101285e-10 2.95314682e+00 2.41225164e-02\n 2.81831275e-10 2.96126046e-10 7.52734914e-01 2.97914325e-10\n 7.02835402e+00 3.00065220e-10 6.69680946e-01 6.96993471e-01\n 2.92286247e-10 2.91950482e-10 2.72056372e+00 2.93496307e-10\n 2.44717677e+00 2.94660636e-10 3.72000000e+00 2.98734168e-10\n 1.29000000e+00 3.08277118e-10 1.79594309e-01 2.91938062e-10\n 3.52800000e+00 2.93084106e-10 1.61222352e+00 6.96990971e-01\n 2.92286290e-10 2.92866069e-10 3.58814848e+00 3.28583469e+00\n 2.90838172e-10 2.90309565e-10 2.32427945e+00 2.34996219e+00\n 3.08030635e-10 9.66791233e+00 1.64874987e+01 2.90606364e-10\n 3.49655735e+00 2.20377692e+00 2.90796345e-10 4.30418538e+00\n 1.12323204e+00 3.13319133e-10 5.23998394e-01 5.53586206e-01\n 2.94700707e-10 3.29063528e+00 4.08566823e+00 3.05230478e-10\n 1.11129141e+00 6.73020943e-01 2.91995503e-10 3.26210657e+00\n 4.83849915e+00 2.70800000e+00 2.88941344e-10 4.80867031e+00\n 1.86187950e+00 3.73037932e-01 2.97559524e-10 1.66498000e+00\n 2.91574919e-10 6.63231452e+00 6.99090647e-01 1.88650063e-01\n 3.15236648e-10 2.63643043e+00 3.87272001e-01 2.96489724e-10\n 1.52199680e+00 4.66073202e-01 3.06975879e-10 1.69281392e+00\n 4.94547897e-01 3.01442759e-10 1.01289169e+00 6.25604712e-01\n 3.04061812e-10 3.95824464e-10 1.52721162e-09 4.58193742e-02\n 4.42984480e-10 9.85538766e-02 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3.72836298e+00 1.53915798e-10\n 1.53785753e-10 2.60257197e+00 1.18952203e+01 8.19374802e+00\n 7.95521482e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": 1435.1780000001015, ""dcost"": 1435.1780004203565, ""pres"": 1.1829454697292576e-11, ""dres"": 1.8296423819560863e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 2.645454736434323, ""dinfres"": NaN, ""gap"": 1.1209335403887962e-06, ""relgap"": 7.810414736433253e-10, ""r0"": 1e-08, ""iter"": 12, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.011254374000000001, ""tsetup"": 0.001007791, ""tsolve"": 0.010246583}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2672,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,degen2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", 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2.10686533e-06, -3.63062879e+00,\n -3.60608228e+00, -4.52453622e+00, -5.74549131e+00, -2.93853783e+00,\n -1.91760328e+00, -2.78390142e+00, -2.06201575e-05, -1.01775834e+00,\n -9.65927563e-01, -1.22775960e+00, 9.34476692e-05, 9.85750863e-05,\n -5.02363766e+00, -2.05421248e+00, 2.14251985e-05, -2.63413891e+00,\n -1.73975212e+00, -3.06400543e+00, -8.42515584e-05, -8.71451310e-05,\n -3.26688401e+00, -9.82961961e+00, -8.73523425e+00, -6.62836746e+00]), y=array([ 1.00000765e+00, 0.00000000e+00, 1.00000714e+00, -7.36444326e-17,\n 1.99489488e-01, 8.00510512e-01, -1.64798730e-17, 1.00000712e+00,\n 7.99967669e-01, 2.00032331e-01, 9.99985034e-01, 0.00000000e+00,\n 1.99817400e-01, 8.00182600e-01, 8.23993651e-17, 1.00001467e+00,\n 1.00000309e+00, 0.00000000e+00, 9.99992144e-01, -9.88162980e-17,\n -3.40927373e-16, 1.00003441e+00, 2.00115797e-01, 7.99884203e-01,\n 0.00000000e+00, 9.99994927e-01, 8.00568399e-01, 1.99431601e-01,\n 0.00000000e+00, 1.00002666e+00, 6.59194921e-17, 9.99990486e-01,\n 0.00000000e+00, 9.99989859e-01, -8.23993651e-18, 9.99976403e-01,\n 1.00006644e+00, -6.17995238e-18, 0.00000000e+00, 9.99952596e-01,\n -9.88162980e-17, 9.88162980e-17, 1.99780660e-01, 8.00219341e-01,\n 0.00000000e+00, 9.99936541e-01, 0.00000000e+00, 1.00000050e+00,\n 1.00000351e+00, -1.57073790e-16, 9.88792381e-17, 1.00000519e+00,\n -4.11996826e-17, 9.99989417e-01, 9.99993021e-01, 0.00000000e+00,\n 8.00060523e-01, 1.99939478e-01, -2.47198095e-17, 1.00001790e+00,\n -3.62557206e-16, 9.99979633e-01, 7.99703033e-01, 2.00296967e-01,\n 0.00000000e+00, 9.99990713e-01, 1.49348849e-16, 1.00001336e+00,\n 0.00000000e+00, 9.81067441e-17, 1.00000107e+00, 2.80000491e-17,\n 9.99990968e-01, 0.00000000e+00, 9.99955696e-01, 3.29597460e-17,\n 1.00004649e+00, 2.05998413e-17, 9.99993860e-01, 0.00000000e+00,\n 1.00003102e+00, 0.00000000e+00, 9.99981702e-01, 7.99987978e-01,\n 2.00012022e-01, 1.00001216e+00, -2.96448894e-16, 9.99989673e-01,\n 0.00000000e+00, 1.00000768e+00, 0.00000000e+00, -3.04877651e-16,\n 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9.99990133e-01, 8.00323872e-01, 1.99686950e-01,\n -7.38375561e-17, 1.00004627e+00, 0.00000000e+00, -1.06861677e-17,\n 9.99996148e-01, -1.85280559e-17, -8.65193334e-17, 3.70561118e-17,\n 2.00338262e-01, 7.99648992e-01, 1.00001142e+00, -4.11996826e-17,\n -2.88397778e-17, 0.00000000e+00, 1.00002198e+00, -1.56719730e-16,\n 1.00000599e+00, -6.17995238e-18, 0.00000000e+00, -8.23993651e-18,\n 9.47592699e-17, 9.99988540e-01, -3.08997619e-18, 1.44907008e-16,\n 9.99986114e-01, -4.81521290e-17, 0.00000000e+00, 9.99989261e-01,\n -2.52348056e-17, -2.65222956e-17, 9.99990911e-01, 7.27431895e-18,\n -3.81097064e-17, 9.99976379e-01, 1.00001488e+00, 0.00000000e+00,\n -2.47198095e-17, 0.00000000e+00, 9.99993869e-01, -3.58823485e-16,\n -1.48224447e-16, 9.99988640e-01, 9.99995966e-01, 8.23993651e-18,\n -1.23599048e-17, 8.00467291e-01, 1.99534145e-01, -3.50197302e-17,\n 1.10402274e-16, -1.62843355e-16, 9.99988180e-01, 3.65647183e-17,\n 9.26992857e-18, 9.99982333e-01, 8.00008607e-01, 2.00000536e-01,\n 5.04696111e-17, -3.39897381e-17, 0.00000000e+00, 9.99984176e-01,\n 0.00000000e+00, -4.89246230e-17, 9.99981773e-01, 9.99991172e-01,\n 3.50197302e-17, 4.94081490e-17, 0.00000000e+00, -6.40526315e-18,\n 9.99985439e-01, 1.00000071e+00, 0.00000000e+00, -1.58618778e-16,\n 9.88792381e-17, 1.10209151e-16, 9.99987990e-01, 8.00477697e-01,\n 1.99530314e-01, 0.00000000e+00, 9.99992652e-01, 0.00000000e+00,\n 0.00000000e+00, 9.99999766e-01, 0.00000000e+00, 0.00000000e+00,\n 1.00000086e+00, 4.53196508e-17, -1.06089183e-16, 1.23520373e-17,\n 1.00000163e+00, 0.00000000e+00, 4.94081490e-17, 2.00339162e-01,\n 7.99645235e-01, 1.64798730e-17, 0.00000000e+00, 9.99989791e-01,\n 1.00002159e+00, -4.15215551e-17, 3.55347262e-17, -2.57176143e-17,\n 5.23196631e-17, 9.99991222e-01, 2.47040745e-17, 1.00000026e+00,\n -5.27870933e-18, 9.99976085e-01, 0.00000000e+00, -7.72494048e-18,\n 7.82793969e-17, 9.99977487e-01, -5.14996032e-18, 4.11996826e-17,\n 1.00001262e+00, 4.06203120e-17, 9.99977301e-01, 8.23993651e-18,\n 0.00000000e+00, 0.00000000e+00, 9.99995702e-01, 8.78068234e-17,\n 1.00000803e+00, 0.00000000e+00, 2.47040745e-17, -6.90094683e-17,\n -3.70561118e-17, 9.99987705e-01, 1.00000393e+00, -4.28476699e-16,\n 2.61682359e-17, 7.99764674e-01, 2.00238300e-01, 3.50197302e-17,\n 1.00000357e+00, 0.00000000e+00, -7.41594286e-17, 1.23520373e-17,\n 1.00000599e+00, -2.47157861e-17, 9.99998888e-01, 4.94081490e-17,\n -2.27628246e-16, 0.00000000e+00, -4.28927320e-16, 9.99988690e-01,\n 2.00316447e-01, -2.47040745e-17, 7.99650369e-01, -1.08986035e-16,\n 0.00000000e+00, 9.99991794e-01, 1.28749008e-18, 9.06393016e-17,\n 9.99984795e-01, 1.64798730e-17, 3.34747421e-17, 9.99988830e-01,\n -5.14996032e-17, 9.99996219e-01, 0.00000000e+00, 9.99998341e-01,\n 1.00001499e+00, -6.55332451e-17, 0.00000000e+00, 1.99560962e-18,\n 9.99997469e-01, 1.02999206e-17, 3.91396984e-17, -1.82481602e-16,\n 9.99990117e-01, 5.39458343e-17, 1.00001077e+00, 3.45998658e-17,\n -1.50185718e-16, 1.44647499e-16, 9.99994475e-01, 1.00000103e+00,\n 0.00000000e+00, -7.41122235e-17, 1.00000515e+00, 6.17601863e-18,\n 3.83028299e-18, 9.99998737e-01, 1.18449087e-16, -3.29597460e-17,\n 1.00000703e+00, 1.64798730e-17, 1.64798730e-17, 1.67373710e-17,\n 9.99995271e-01, 5.43467295e-21, 1.00000073e+00, -1.85280559e-17,\n -1.08149167e-17, 1.00000955e+00, -1.02999206e-16, 2.21448294e-17,\n -7.66392771e-17, 0.00000000e+00, 9.99979641e-01, 1.00001854e+00,\n 1.04639326e-16, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 9.92951687e-17, 0.00000000e+00, -1.15549375e-16, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -4.94396191e-17, 1.00003084e+00,\n 0.00000000e+00, 6.54044961e-18, -4.37500767e-19, 0.00000000e+00,\n 0.00000000e+00, 1.80016915e+00, 1.99873226e-01, -2.63677968e-17,\n 0.00000000e+00, 9.88792381e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -4.96475844e-17, 0.00000000e+00,\n 0.00000000e+00, 8.52794091e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 4.00003135e+00, 1.00000192e+00, 1.99996881e+00,\n 1.00000808e+00, 0.00000000e+00, -9.88792381e-17, 0.00000000e+00,\n 1.84021756e-18, 1.17096541e-31, 0.00000000e+00, 1.64798730e-17,\n 0.00000000e+00, -1.91998388e-16, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.05998413e-18, 0.00000000e+00,\n 0.00000000e+00, 2.00000245e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -6.17601863e-18, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.85482703e-32, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.45498672e-18, -1.33249077e-18,\n 1.06599261e-17, 0.00000000e+00, -1.29298424e-17, 0.00000000e+00,\n -2.02718173e-16, -2.32797875e-17, 3.58397901e-17, 0.00000000e+00,\n 0.00000000e+00, 8.52794091e-17, 0.00000000e+00, 0.00000000e+00,\n -1.54498810e-18, 0.00000000e+00, -8.23993651e-18, -1.15359111e-16,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 8.00401723e-01,\n -1.54400466e-18, 0.00000000e+00, -2.90997344e-18, 5.85482703e-32,\n 0.00000000e+00, 2.08201682e-20, 1.00001571e+00, 1.19961800e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n -6.02791217e-18, 9.99996062e-01, 0.00000000e+00, 0.00000000e+00,\n -1.28749008e-18, 3.86001164e-18, 0.00000000e+00, 0.00000000e+00,\n 9.99996329e-01, -3.13117587e-17, 0.00000000e+00, 0.00000000e+00,\n 3.08800931e-18, 1.46370676e-32, 0.00000000e+00, -5.76008804e-18,\n 0.00000000e+00, -4.65595750e-17, 0.00000000e+00, 0.00000000e+00,\n 2.05998413e-18, 0.00000000e+00, 4.63201397e-18, -2.57498016e-19,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 6.66245384e-19, -7.45596242e-17, -1.16398938e-17, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.54400466e-18, 0.00000000e+00,\n 6.17601863e-18, 3.63746680e-19, 1.79994404e+00, 4.96475844e-17,\n 0.00000000e+00, 2.00058876e-01, -1.54400466e-18, 3.08800931e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.33249077e-18,\n 4.11996826e-17, 0.00000000e+00, 5.08796411e-17, 5.76008804e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 3.08997619e-18, 0.00000000e+00,\n 9.99941715e-01, 0.00000000e+00, 8.36868552e-19, -5.14996032e-18,\n 9.99989319e-01, 2.99984827e+00, 3.99981983e+00, 0.00000000e+00,\n 1.00001935e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.00020529e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 2.05998413e-18, 1.02999206e-18, 0.00000000e+00,\n 0.00000000e+00, -5.23196631e-17, -1.93599170e-17, 2.32797875e-17,\n -1.54400466e-18, 8.52794091e-17, 0.00000000e+00, 0.00000000e+00,\n 1.54400466e-18, 5.00002514e+00, 1.00000388e+00, -8.74994875e-21,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.54400466e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.00000885e+00,\n 2.00000619e+00, 9.99999865e-01, 1.00000539e+00, -3.63746680e-19,\n 5.14996032e-19, 0.00000000e+00, 6.03126819e-20, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.82589261e-18,\n 0.00000000e+00, 9.99966539e-01, 9.99971551e-01, 0.00000000e+00,\n 0.00000000e+00, 2.32797875e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -9.65617560e-20, -5.27355937e-17, 0.00000000e+00,\n 6.17601863e-18, 0.00000000e+00, 1.41719040e-16, 8.52794091e-17,\n 3.08800931e-18, -4.63496429e-18, 0.00000000e+00, 1.54400466e-17,\n 0.00000000e+00, -7.83974096e-18, 0.00000000e+00, 5.85482703e-32,\n -1.07119175e-16, 0.00000000e+00, -1.64798730e-17, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.19556014e-32,\n -5.35595873e-17, -5.35595873e-17, 0.00000000e+00, 8.52794091e-17,\n -4.65595750e-17, -5.81994688e-18, 3.51289622e-31, 9.99995897e-01,\n 0.00000000e+00, 0.00000000e+00, 9.88792381e-17, -5.19037325e-17,\n -3.91987048e-18, -2.05998413e-18, 0.00000000e+00, 2.00230821e-01,\n 0.00000000e+00, 0.00000000e+00, 5.32996307e-18, 4.80060185e+00,\n 4.80060948e+00, 0.00000000e+00, 0.00000000e+00, 7.99774392e-01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.19943930e+00,\n 2.19944082e+00, 0.00000000e+00, 0.00000000e+00, -1.91998388e-16,\n 7.83974096e-18]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 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2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=1435.177158790581, prim_res=0.0001813926935732013, dual_res=0.0003044078087315119, iter=1600, rho_updates=1, rho_estimate=0.008876668917856139, setup_time=0.001846375, solve_time=0.08138075, update_time=0.0, polish_time=0.000499916, run_time=0.083727041))""}}, ""problem_class"": ""LP""}" +2671,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,degen2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": 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1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:40:07,0.624340375,STALLED,-1435.1700350892927,-1435.1792324087146,0.00919731942190083,1.1653469663346058e-07,0.0,20,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""stalled"", ""solve_time"": 0.624340375, ""setup_time"": [], ""iterations"": 20, ""primal_objective_value"": -1435.1700350892927, ""dual_objective_value"": -1435.1792324087146, ""duality_gap"": 0.00919731942190083, ""primal_infeasibility"": 1.1653469663346058e-07, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Poor progress in relative gap or infeasibility"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:40:05"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -5, ""iter"": 20, ""full_info"": {""dimacs"": [1.4688151644010812e-07, 0, 1.1279712461175621e-08, 0, 3.2031350297765414e-06, 3.699634458259715e-06], ""termcode"": 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2676,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:12,0.1694629192352295,OPTIMAL,-987.2940002027087,-987.2939999827056,-2.2000313038006425e-07,3.6494609108534427e-10,5.919753309559691e-14,15,"{""solver_solve_time"": 0.140496958, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -987.2939999827056, 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+2675,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:11,2.116604804992676,OPTIMAL,-987.2916565002344,-987.2926499688974,0.0009934686630685974,1.2055954861952349e-05,7.581328506871583e-08,5950,"{""solver_solve_time"": 2.0717555, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -987.2926499688974, ""solver_stats"": {""solve_time"": 2.0717555, ""setup_time"": 0.019535083, ""num_iters"": 5950, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ -8.90999813 18.03269152 16.18206623 ... -17.25121757 -7.68683829\n -8.69535744]"", ""y"": ""[0. 1.00000708 0.99999699 ... 0. 0. 0. ]"", ""s"": ""[ 0.07671245 0. 0. ... 17.25121757 7.68683829\n 8.69535744]"", ""info"": {""status_val"": 1, ""iter"": 5950, ""scale_updates"": 1, ""scale"": 0.3997288666323946, ""pobj"": 987.2926499688971, ""dobj"": 987.2916565002345, ""res_pri"": 0.00025202531950569443, ""res_dual"": 0.0004221301937315423, ""gap"": 0.0009934686626792751, ""res_infeas"": 0.04760540800760082, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 1.9511428222625292e-13, ""solve_time"": 2071.7555, ""setup_time"": 19.535083, ""lin_sys_time"": 1943.2611860000006, ""cone_time"": 31.74551200000025, ""accel_time"": 14.024459999999847, ""rejected_accel_steps"": 52, ""accepted_accel_steps"": 6, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2679,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:17,0.46016788482666016,OPTIMAL (INACCURATE),-987.2890549786291,-987.2972888058284,0.008233827199319421,9.568518543363165e-10,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -987.2972888058284, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3349,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:40:17,0.9340247083333333,STALLED,-987.2372743512265,-987.307224387303,0.06995003607653416,2.6547438962481874e-08,0.0,22,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""stalled"", ""solve_time"": 0.9340247083333333, ""setup_time"": [], ""iterations"": 22, ""primal_objective_value"": -987.2372743512265, ""dual_objective_value"": -987.307224387303, ""duality_gap"": 0.06995003607653416, ""primal_infeasibility"": 2.6547438962481874e-08, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Poor progress in relative gap or infeasibility"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:40:15"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -5, ""iter"": 22, ""full_info"": {""dimacs"": [4.242976332507373e-08, 0, 9.077320390666073e-08, 0, 3.540797796313891e-05, 6.551743906372542e-05], ""termcode"": -5, ""iter"": 22, ""obj"": [-987.2372743512265, -987.307224387303], ""gap"": 0.12943261631377959, ""relgap"": 6.551743906372542e-05, ""pinfeas"": 2.6547438962481874e-08, ""dinfeas"": 1.6371674687868483e-08, ""cputime"": 0.8272040000000036, ""time"": {""preproc"": 0.04847300000000132, ""pred"": 0.583177000000001, ""pred_pstep"": 0.005832000000001614, ""pred_dstep"": 0.0063649999999970674, ""corr"": 0.13560700000000203, ""corr_pstep"": 0.004196000000000311, ""corr_dstep"": 0.004660999999998694, ""pchol"": 0.00904199999999733, ""dchol"": 0.0033690000000063947, ""misc"": 0.027757999999998617}, ""resid"": [], ""reldist"": [], ""normX"": 35.950628119116885, ""normy"": 626036.0517887998, ""normZ"": 568265.3704746485, ""normb"": 76.71657678474378, ""maxb"": 48, ""normC"": 108.94996943028751, ""maxC"": 19.65, ""normA"": 160.4741358339966, ""msg1"": ""linsysolve: Schur complement matrix not positive definite"", ""msg2"": ""stop: steps too short consecutively"", ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -5, ""iter"": 22, ""full_info"": {""dimacs"": [4.242976332507373e-08, 0, 9.077320390666073e-08, 0, 3.540797796313891e-05, 6.551743906372542e-05], ""termcode"": -5, ""iter"": 22, ""obj"": [-987.2372743512265, -987.307224387303], ""gap"": 0.12943261631377959, ""relgap"": 6.551743906372542e-05, ""pinfeas"": 2.6547438962481874e-08, ""dinfeas"": 1.6371674687868483e-08, ""cputime"": 0.8272040000000036, ""time"": {""preproc"": 0.04847300000000132, ""pred"": 0.583177000000001, ""pred_pstep"": 0.005832000000001614, ""pred_dstep"": 0.0063649999999970674, ""corr"": 0.13560700000000203, ""corr_pstep"": 0.004196000000000311, ""corr_dstep"": 0.004660999999998694, ""pchol"": 0.00904199999999733, ""dchol"": 0.0033690000000063947, ""misc"": 0.027757999999998617}, ""resid"": [], ""reldist"": [], ""normX"": 35.950628119116885, ""normy"": 626036.0517887998, ""normZ"": 568265.3704746485, ""normb"": 76.71657678474378, ""maxb"": 48, ""normC"": 108.94996943028751, ""maxC"": 19.65, ""normA"": 160.4741358339966, ""msg1"": ""linsysolve: Schur complement matrix not positive definite"", ""msg2"": ""stop: steps too short consecutively"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3348,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:40:12,0.3803867083333333,OPTIMAL,-987.2940000036307,-987.2940000000001,3.630589162639808e-09,1.3639427886523291e-11,1.3893365508231021e-18,15,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.3803867083333333, ""setup_time"": [], ""iterations"": 15, ""primal_objective_value"": -987.2940000036307, ""dual_objective_value"": -987.2940000000001, ""duality_gap"": 3.630589162639808e-09, ""primal_infeasibility"": 1.3639427886523291e-11, ""dual_infeasibility"": 1.3893365508231021e-18, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:40:09"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 15, ""feasratio"": 1, ""full_info"": {""iter"": 15, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 2.1799359661143482e-11, ""timing"": [0.11706836521625519, 0.24402402341365814, 0.0024944543838500977], ""wallsec"": 0.3635868430137634, ""cpusec"": 0.9000000000000004}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 15, ""feasratio"": 1, ""full_info"": {""iter"": 15, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 2.1799359661143482e-11, ""timing"": [0.11706836521625519, 0.24402402341365814, 0.0024944543838500977], ""wallsec"": 0.3635868430137634, ""cpusec"": 0.9000000000000004}}, ""problem_class"": ""LP""}" +2673,scipy_linprog,scipy-1.15.3,NETLIB,degen3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:07,0.2804558277130127,OPTIMAL,-987.2940000000001,,,0.0,,2494,"{""solver_solve_time"": 0.2804558277130127, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -987.2940000000001, ""scipy_nit"": 2494, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2683,cvxpy_clarabel,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:22,0.7879502773284912,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:22 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_clarabel\n2026-07-05 17:50:22 - python_solver_runner - INFO - Solving dfl001 with cvxpy_clarabel\n2026-07-05 17:50:22 - solver_cvxpy_clarabel - INFO - Initialized CVXPY solver 'cvxpy_clarabel' with backend 'CLARABEL'\n2026-07-05 17:50:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2687,cvxpy_cvxopt,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:25,0.9437928199768066,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:25 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:25 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:25 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:25 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_cvxopt\n2026-07-05 17:50:25 - python_solver_runner - INFO - Solving dfl001 with cvxpy_cvxopt\n2026-07-05 17:50:25 - solver_cvxpy_cvxopt - INFO - Initialized CVXPY solver 'cvxpy_cvxopt' with backend 'CVXOPT'\n2026-07-05 17:50:25 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:25 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2685,cvxpy_ecos,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:23,0.7123849391937256,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:23 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:23 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:23 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:23 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_ecos\n2026-07-05 17:50:23 - python_solver_runner - INFO - Solving dfl001 with cvxpy_ecos\n2026-07-05 17:50:23 - solver_cvxpy_ecos - INFO - Initialized CVXPY solver 'cvxpy_ecos' with backend 'ECOS'\n2026-07-05 17:50:23 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:23 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2690,cvxpy_highs,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:27,0.6777410507202148,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:27 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:27 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:27 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:27 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_highs\n2026-07-05 17:50:27 - python_solver_runner - INFO - Solving dfl001 with cvxpy_highs\n2026-07-05 17:50:27 - solver_cvxpy_highs - INFO - Initialized CVXPY solver 'cvxpy_highs' with backend 'HIGHS'\n2026-07-05 17:50:27 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:27 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2686,cvxpy_osqp,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:24,0.948065996170044,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:24 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:24 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:24 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:24 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_osqp\n2026-07-05 17:50:24 - python_solver_runner - INFO - Solving dfl001 with cvxpy_osqp\n2026-07-05 17:50:24 - solver_cvxpy_osqp - INFO - Initialized CVXPY solver 'cvxpy_osqp' with backend 'OSQP'\n2026-07-05 17:50:24 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:24 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2689,cvxpy_scip,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:27,0.6727578639984131,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:27 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:27 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:27 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:27 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_scip\n2026-07-05 17:50:27 - python_solver_runner - INFO - Solving dfl001 with cvxpy_scip\n2026-07-05 17:50:27 - solver_cvxpy_scip - INFO - Initialized CVXPY solver 'cvxpy_scip' with backend 'SCIP'\n2026-07-05 17:50:27 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:27 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2684,cvxpy_scs,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:22,0.6375408172607422,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:22 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_scs\n2026-07-05 17:50:22 - python_solver_runner - INFO - Solving dfl001 with cvxpy_scs\n2026-07-05 17:50:22 - solver_cvxpy_scs - INFO - Initialized CVXPY solver 'cvxpy_scs' with backend 'SCS'\n2026-07-05 17:50:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2688,cvxpy_sdpa,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:26,0.8969829082489014,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:26 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:26 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:26 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:26 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_sdpa\n2026-07-05 17:50:26 - python_solver_runner - INFO - Solving dfl001 with cvxpy_sdpa\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/cvxpy/problems/problem.py:1504: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n warnings.warn(\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/sdpap/sdpaputils.py:114: RuntimeWarning: k >= N - 1 for N * N square matrix. Attempting to use scipy.linalg.eig instead.\n eig = eigs(mat.toarray(), k=1, which='SM',\n2026-07-05 17:50:26 - solver_cvxpy_sdpa - INFO - Initialized CVXPY solver 'cvxpy_sdpa' with backend 'SDPA'\n2026-07-05 17:50:26 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:26 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3351,matlab_sdpt3,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:40:26,4.434568881988525,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""Error: Index exceeds the number of array elements. Index must not exceed 3.; Original error: Index exceeds the number of array elements. Index must not exceed 3."", ""problem_class"": ""UNKNOWN""}" +3350,matlab_sedumi,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:40:21,4.4690470695495605,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""Error: Index exceeds the number of array elements. Index must not exceed 3.; Original error: Index exceeds the number of array elements. Index must not exceed 3."", ""problem_class"": ""UNKNOWN""}" +2682,scipy_linprog,unknown,NETLIB,dfl001,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:21,0.6787209510803223,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 17:50:21 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:21 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:21 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:21 - python_solver_runner - INFO - Subprocess solving dfl001 with scipy_linprog\n2026-07-05 17:50:21 - python_solver_runner - INFO - Solving dfl001 with scipy_linprog\n2026-07-05 17:50:21 - solver_scipy_linprog - INFO - Initialized SciPy solver with method 'highs'\n2026-07-05 17:50:21 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:21 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2692,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,e226,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:29,0.009691238403320312,OPTIMAL,-18.75192791671704,-18.75192781704161,-9.967542879962821e-08,1.572134880784565e-08,6.17047227090499e-11,18,"{""solver_solve_time"": 0.00596471, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -18.75192781704161, ""solver_stats"": {""solve_time"": 0.00596471, ""num_iters"": 18, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2696,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,e226,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:34,0.7611911296844482,OPTIMAL,-18.751928332950317,-18.751928335624058,2.673740340242148e-09,2.550069832198194e-08,3.950529243695893e-12,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -18.751928335624058, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2694,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,e226,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:31,0.013586997985839844,OPTIMAL,-18.751929066265685,-18.75192906625518,-1.0505374348213081e-11,1.1625526443535523e-12,5.654117529116888e-15,20,"{""solver_solve_time"": 0.009086791, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -18.75192906625518, ""solver_stats"": {""solve_time"": 0.009086791, ""setup_time"": 0.000420458, ""num_iters"": 20, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 7.54252976e-02 -1.87683583e-03 6.03545336e-02 7.39593786e-02\n -6.70399147e+00 1.07768986e+00 -2.20336280e-01 3.15535292e-01\n -4.06226600e+00 -3.25970732e+00 -2.52708144e-02 -2.84282750e+00\n -2.84282750e+00 2.28527500e-01 -2.52708144e-02 -1.47485412e+00\n 2.20024321e-02 2.75030402e-03 -1.42800031e+00 4.78753383e-01\n 2.20024321e-03 -1.48181907e-02 -2.19393854e-01 -1.16363041e-03\n -2.29372918e+00 -7.75844746e-02 1.83394279e-02 -1.52066510e-03\n -3.39256447e-03 6.75489347e-13 1.20330970e-02 -4.07360580e-01\n -9.81543253e-02 1.48885722e-13 5.82665909e-13 -7.66073061e-12\n -2.40080473e-02 -3.01482021e-02 -4.16068017e-11 -8.41612642e-13\n -4.03421842e+00 -1.26578162e+00 -2.65582757e-11 -3.64282206e+00\n -4.18847413e+00 -1.23975156e+00 -9.08682019e-12 -5.75623858e+00\n -2.42932219e+00 -3.52082467e+00 -1.02177375e+00 -1.79992069e-01\n -3.34953260e+00 -1.53484871e-01 -1.88540855e-01 -1.08957326e-12\n -2.61691513e+00 -3.05461163e+00 -9.59284863e-13 -3.79014080e+00\n -3.57237064e+00 -7.21433397e-01 -3.32150703e-01 -7.56742494e+00\n -6.28508620e-11 -5.13018618e-03 -3.03780061e+00 -1.19701183e+00\n -9.54119320e-01 -1.07768986e+00 -1.90901621e+00 -2.51395680e-11\n 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""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:32,0.18201589584350586,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2698,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,e226,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:35,0.019459247589111328,OPTIMAL,-18.751929066370547,-18.75192906637055,3.552713678800501e-15,0.8454377483565122,1.6377878486144665e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -18.75192906637055, ""solver_stats"": 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1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:51,0.011507034301757812,OPTIMAL,444.66281916518386,444.6628191651839,-5.684341886080802e-14,3.6152996705371573e-16,3.716164445501203e-15,381,"{""solver_solve_time"": 0.005814708769321442, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 444.6628191651839, ""solver_stats"": {""solve_time"": 0.005814708769321442, ""num_iters"": 381, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2704,cvxpy_osqp,unknown,NETLIB,etamacro,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2707,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,etamacro,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:50:50,0.028847932815551758,OPTIMAL,501.67933127709284,444.6628195486031,57.01651172848972,0.6865885534960954,3.594127254085821e-13,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 444.6628195486031, ""solver_stats"": 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2.28109296e-01 3.82557435e-01 5.67030125e+00\n 5.63403629e+00 -1.13042315e-09 4.04244116e-09 8.64213167e-09\n 3.65294344e-09 -2.29973654e-08 2.03149390e-09 8.46299845e-09\n -9.01189109e-09 -3.81811396e-09 4.46675100e+00 9.13706877e-04\n 2.56339192e-09 8.45187307e-04 -3.07867642e-09 6.05638499e+00\n 6.00119590e+00 6.36540452e+00 5.93769701e+00 5.94434517e+00\n 5.88956951e+00 6.24699355e+00 5.82579544e+00 -1.90830959e-08\n 2.11446979e-08 5.94700315e-09 -6.61113635e-09 1.22611276e+00\n 1.21295906e+00 1.35951973e+00 1.32876450e+00 1.49329895e+00\n 1.75880573e+00 1.98062718e+00 1.92723664e+00 6.14955349e+00\n 6.09976906e+00 6.46989050e+00 6.03872886e+00 2.31496678e-11\n 1.01644920e-10 1.37957347e-10 3.09699854e+01 2.41007400e-11\n 1.11422437e-10 1.52571829e-10 2.63819885e+01 4.56531608e-12\n 1.22367689e-11 1.08778021e-11 1.51309889e+01 1.01126103e-11\n 7.54544301e-12 5.11086226e-12 3.63871096e+02 3.58827651e-12\n 2.45811674e-09 2.47157457e-09 1.60677505e+02 2.66964432e-11\n 1.94862191e-11 1.23246215e-11 3.19253104e+02 1.07900956e-10]"", ""y"": ""[]"", ""z"": ""[1.16508911e-08 1.92942425e-12 1.96579023e-12 ... 4.88390050e+01\n 1.26979415e-12 4.35926814e+02]"", ""s"": ""[9.13717223e-04 6.05638500e+00 5.94434518e+00 ... 2.39263414e-13\n 3.19253104e+02 2.68058461e-14]"", ""info"": {""exitFlag"": 0, ""pcost"": -555679.5837709124, ""dcost"": -555679.5837709125, ""pres"": 4.7098710353853174e-09, ""dres"": 1.9082002916513902e-14, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.00032885529052137006, ""gap"": 6.636816971480292e-05, ""relgap"": 1.1943604129635298e-10, ""r0"": 1e-08, ""iter"": 75, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.081874583, ""tsetup"": 0.000983958, ""tsolve"": 0.080890625}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2717,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,fffff800,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:07,0.011975765228271484,OPTIMAL,555679.5648174963,555679.5648174956,6.984919309616089e-10,2.2030637468642783e-16,2.3348258728322875e-14,293,"{""solver_solve_time"": 0.006421374157071114, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 555679.5648174956, ""solver_stats"": {""solve_time"": 0.006421374157071114, ""num_iters"": 293, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2713,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,fffff800,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 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2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1028,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1028,)), dual_inf_cert=array([ 4.28088150e-06, -2.93419984e-06, -3.55276343e-05, -6.88362346e-04,\n -1.49190754e-05, -1.88346726e-05, -5.19817622e-06, 1.04227420e-05,\n -1.83551395e-04, -7.84931501e-05, -3.92781308e-06, -1.03999280e-06,\n -1.38080554e-03, -7.50954685e-04, -6.25069926e-04, -4.51684892e-04,\n -6.95405562e-04, -3.77596941e-04, -3.12201915e-04, -2.40589796e-04,\n -1.37759514e-03, -7.51662501e-04, -6.25985772e-04, -4.81422361e-04,\n -6.90612763e-04, -3.73720927e-04, -3.09733890e-04, -2.39989816e-04,\n -1.11513042e-05, -2.01009426e-06, -3.33499813e-06, -5.97263467e-06,\n -1.66480179e-05, -1.92773600e-06, -4.66346795e-06, -1.06176257e-05,\n -2.21172268e-05, -2.91450717e-06, -4.71195925e-06, -1.52010983e-05,\n -2.23248944e-05, -1.98344552e-06, -5.83946653e-06, -1.79001163e-05,\n -2.67541549e-05, -6.40664989e-06, -7.62017921e-06, -2.25431449e-05,\n -2.61209678e-05, -6.48268092e-06, -8.12976820e-06, -2.50039000e-05,\n -2.59562941e-05, -5.45987255e-06, -8.26148766e-06, -2.46303003e-05,\n 1.50097262e-04, 1.30310844e-04, 1.33409595e-04, 1.48069621e-04,\n 2.25320446e-04, 3.82442567e-04, 5.03859214e-05, 1.54255369e-04,\n 1.29700256e-04, 4.15241597e-05, -5.52838993e-05, -5.91195507e-05,\n -5.95175114e-05, -5.77183641e-05, -4.21117200e-05, -4.71894410e-05,\n -5.01821535e-05, -5.13600471e-05, 8.16683550e-03, 1.64662300e-03,\n 2.47508676e-03, 6.87700404e-03, -8.05196192e-03, -1.48072723e-03,\n -2.21522734e-03, -6.65799593e-03, 8.57160876e-05, -1.06264791e-05,\n 1.84488087e-06, -3.99423268e-06, -5.21047232e-06, -7.48658800e-06,\n -1.16246337e-06, -8.05801073e-07, -5.08275238e-07, -1.84839689e-07,\n -8.94315404e-06, -8.03796661e-06, -6.28690388e-06, -4.72678221e-06,\n -3.30036364e-06, -2.74650213e-06, -1.31798529e-06, -1.52136945e-06,\n -1.17716815e-06, -3.05475876e-06, -5.42875769e-06, -1.97261643e-06,\n 6.69416898e-06, 6.07949212e-06, 5.14801719e-06, 1.83857297e-06,\n -8.06012065e-06, -3.14901972e-06, -1.80599782e-06, -2.19605733e-06,\n -2.08672214e-06, -1.38081284e-06, -8.40242617e-07, -3.66229093e-07,\n 7.78529747e-06, 5.40443352e-06, -9.31076611e-06, 1.35455866e-06,\n 1.10650004e-05, 7.76680858e-06, -9.15075941e-06, 2.62852521e-06,\n 9.13476016e-06, 6.21812252e-06, -1.02656663e-05, 1.58592299e-06,\n 9.72075011e-06, 6.60538069e-06, -1.14223701e-05, 1.60554838e-06,\n 9.15788078e-06, 6.13384017e-06, -1.09507949e-05, 1.46383908e-06,\n 4.41118632e-06, 7.20932821e-06, 3.75692139e-07, 5.69703698e-06,\n 9.67497007e-06, 6.56469467e-06, -1.12808522e-05, 1.59368876e-06,\n 7.89414572e-06, 4.30851153e-06, -1.30229256e-05, -2.12250274e-06,\n 5.94292783e-05, 4.81877742e-05, 2.55763342e-05, 4.39281850e-05,\n 5.49150963e-06, -1.18359589e-06, -1.78553836e-05, 1.11108706e-05,\n 7.46677415e-06, 4.35140473e-06, -1.36763461e-05, -6.48427576e-07,\n 8.36483230e-06, 2.70272193e-06, -1.08600057e-05, 6.19432073e-06,\n 3.13385910e-04, -4.80383406e-06, -1.32807487e-05, -9.83351083e-06,\n 8.26723006e-06, 4.47073941e-06, -1.32488153e-05, -2.20824946e-06,\n -2.04674839e-07, -2.37021766e-07, -3.87973245e-07, -2.55978841e-07,\n 1.66840239e-05, -1.16876876e-05, 3.17760994e-05, 2.31986103e-05,\n -4.99079708e-06, -3.14782276e-06, 1.45595793e-05, 7.75927458e-06,\n -1.01863944e-05, -1.62945693e-05, -3.74569685e-05, -3.80806974e-05,\n -1.03516180e-05, -1.65093500e-05, -3.84074091e-05, -3.84506706e-05,\n 1.17323857e-05, 1.89087909e-05, 4.32975552e-05, 4.16746781e-05,\n -1.02138667e-05, -1.60304575e-05, -3.80982570e-05, -3.84764905e-05,\n 9.69035089e-06, 2.37982100e-05, 5.53515645e-05, 5.35313666e-05,\n -1.03591005e-05, -1.65458784e-05, -3.85819047e-05, -3.89924398e-05,\n 9.83667468e-06, 2.45655760e-05, 5.62804574e-05, 5.42184834e-05,\n -1.03104848e-05, -1.64277301e-05, -3.85297447e-05, -3.91122885e-05,\n 1.03833063e-05, 1.66754206e-05, 3.91117551e-05, 4.00185049e-05,\n -1.00889827e-05, -1.57600598e-05, -3.73345946e-05, -3.63881864e-05,\n 9.87607545e-06, -1.62450744e-05, 4.65660910e-06, -7.99146360e-06,\n -1.03113760e-05, -1.62451114e-05, -3.79132431e-05, -3.72855722e-05,\n -6.00483015e-06, -1.25597977e-05, -4.21969753e-05, -3.02363877e-05,\n -1.03525304e-05, -1.65094343e-05, -3.84793942e-05, -3.86942196e-05,\n 1.37240362e-05, 2.36044786e-05, 4.83082775e-05, 4.70749694e-05,\n -1.01572613e-05, -1.59900235e-05, -3.79551206e-05, -3.79750784e-05,\n 1.06179408e-05, 1.67892730e-05, 3.95855798e-05, 3.90517809e-05,\n -1.01113810e-05, -1.58305023e-05, -3.78523977e-05, -3.79832205e-05,\n 9.93690630e-06, 1.84190757e-05, 4.36038771e-05, 4.30040836e-05,\n -1.01596976e-05, -1.60022180e-05, -3.80134371e-05, -3.81558665e-05,\n 9.98564876e-06, 1.86754384e-05, 4.39130320e-05, 4.32323162e-05,\n -1.01449212e-05, -1.59619628e-05, -3.79927537e-05, -3.81983775e-05,\n 1.01696808e-05, 1.60453338e-05, 3.81874928e-05, 3.85019682e-05,\n -1.00696719e-05, -1.57402646e-05, -3.75975613e-05, -3.72875024e-05,\n 9.99782902e-06, 5.26552167e-06, 2.68990329e-05, 2.27254312e-05,\n -2.03067347e-05, -6.56698409e-06, -3.85315679e-05, -2.61248308e-05,\n -1.01575260e-05, -1.59900855e-05, -3.79792671e-05, -3.80565782e-05,\n 1.12810636e-05, 1.83546561e-05, 4.12551352e-05, 4.08522021e-05,\n -1.00600124e-05, -1.57303836e-05, -3.77291663e-05, -3.77372731e-05,\n 1.00600124e-05, 1.57303836e-05, 3.77291663e-05, 3.77372731e-05,\n -1.00629256e-05, -1.57359650e-05, -3.77361742e-05, -3.77519504e-05,\n 1.00401214e-05, 1.61670566e-05, 3.86830557e-05, 3.85933023e-05,\n -1.00701844e-05, -1.57581186e-05, -3.77581679e-05, -3.77799823e-05,\n 1.00496226e-05, 1.61459293e-05, 3.86017458e-05, 3.85136567e-05,\n -1.00601891e-05, -1.57301655e-05, -3.77225460e-05, -3.77155917e-05,\n 1.00873511e-05, 1.43741952e-05, 3.64060905e-05, 3.60296064e-05,\n -1.56230132e-05, 1.28313537e-05, -1.18363783e-05, -1.51134012e-05,\n -1.00609444e-05, -1.57328894e-05, -3.77315958e-05, -3.77403616e-05,\n 1.01042461e-05, 1.58264223e-05, 3.78581177e-05, 3.78534953e-05,\n 9.72084732e-06, 6.60544675e-06, -1.14224843e-05, 1.60556444e-06,\n -1.00601130e-05, -1.57305409e-05, -3.77295435e-05, -3.77376505e-05,\n -5.70726227e-01, 1.00000000e+00, -2.40448296e-11, 1.16467327e-07,\n 5.82089401e-07, 6.74962861e-07, -1.39400497e-06, -1.77418820e-06,\n -1.65102095e-06, 6.83808028e-07, 2.63627854e-06, 4.12579257e-06,\n 1.44464101e-07, 1.37297473e-07, 9.36099632e-08, -6.88674542e-07,\n -5.72249491e-07, -2.13100202e-07, 1.69958003e-06, -3.26006023e-06,\n -9.95132598e-07, -2.61736949e-05, -1.43362101e-05, -1.31166939e-05,\n 7.22134424e-07, -8.58161692e-11, -8.30807888e-06, -8.20545367e-06,\n -3.81803080e-06, -2.47781662e-06, -2.57820269e-06, -2.68319691e-06,\n -1.61286910e-06, -1.96865630e-07, 9.97370599e-08, -6.46401825e-10,\n -5.98422643e-07, -1.69786839e-10, 5.03247014e-08, -1.61528784e-11,\n 5.93580972e-08, -2.49617826e-09, 1.02447258e-05, 9.55667684e-07,\n 1.18406781e-05, 1.96051189e-07, -2.71343241e-05, -5.33487783e-06,\n -1.11106501e-06, -1.84274522e-06, -2.30944680e-06, 1.60267426e-06,\n 1.78531809e-06, 3.64226811e-07, -3.49267066e-10, -2.08578426e-06,\n -1.21046840e-05, -9.55855590e-07, -4.97314730e-09, -3.55959530e-06,\n -7.81499982e-06, -1.24947539e-06, 5.07592380e-11, -2.30803233e-07,\n -5.52837621e-05, -5.91204115e-05, -5.95175736e-05, -5.77166017e-05,\n -4.21116312e-05, -4.71899889e-05, -5.01822036e-05, -5.13586461e-05,\n -1.33681861e-05, -1.85494286e-05, -3.29962769e-05, -2.08021613e-05,\n -5.31343137e-06, -5.31343137e-06, -7.86339629e-06, -1.51439245e-05,\n -2.17546712e-05, -2.16042982e-05, -5.86130341e-06, -8.60430283e-06,\n -1.88099769e-05, -1.11174940e-05, -1.32321058e-05, -2.55740260e-05,\n -4.04525978e-05, -5.39717504e-05, -2.18175900e-07, -5.07479826e-06,\n -1.08210130e-05, -2.06062212e-05, -2.25399850e-06, 2.26670763e-07,\n 3.22349392e-07, 6.26873074e-07, 7.21982296e-08, 2.50144812e-06,\n -5.74153603e-06, -1.79964859e-06, 4.00925266e-06, 6.13861855e-06,\n 1.75562261e-06, 3.39700443e-06, 6.68789637e-06, 2.07314034e-06,\n -2.11336618e-06, -2.06448972e-07, 2.56130040e-06, 2.27718896e-06,\n -1.62218300e-06, 4.36154738e-07, 2.65941192e-06, 5.78606324e-05,\n -5.22719208e-07, 3.48615931e-06, -6.32859157e-07, 3.67050757e-06,\n -3.61320008e-06, -5.34834874e-06, 2.19184275e-06, -3.76629730e-06,\n 1.00921616e-06, -1.26791105e-06, -3.64528912e-06, -3.77165196e-06,\n 6.95719527e-07, -1.41186055e-06, -3.62285771e-06, -3.75718580e-06,\n 7.68862193e-07, -1.30880268e-06, -3.65480799e-06, -4.16761043e-06,\n 5.51776738e-07, -1.14480217e-06, -3.84990618e-06, -3.73904245e-06,\n 9.85057919e-07, -1.33739984e-06, -3.67561606e-06, -3.71796584e-06,\n 8.11929536e-07, -1.32313495e-06, -3.66313227e-06, -3.75917270e-06,\n 8.25371233e-07, -1.33750539e-06, -3.65647335e-06, -1.06736068e-06,\n -1.62727336e-06, 3.14884553e-06, 1.94527825e-06, 1.60466956e-06,\n 2.72918873e-06, 4.34214456e-06, 3.89859066e-06, 1.48919255e-06,\n 1.26759042e-06, 1.91771491e-06, -2.30751361e-07, 8.21124698e-06,\n 1.39717620e-05, 2.06652586e-05, 4.47175500e-05, -1.19243594e-05,\n -1.74781514e-06, -3.47006378e-07, 3.26487742e-05, 6.17074468e-05,\n 1.17817517e-04, 1.70771652e-04, 2.44671929e-04, -5.02901185e-07]), info=namespace(_pybind11_conduit_v1_=>, status='dual infeasible', status_val=5, status_polish=0, obj_val=-1e+30, prim_res=0.3551779211444211, dual_res=10141.770943711068, iter=150, rho_updates=0, rho_estimate=0.021236020870528803, setup_time=0.00189925, solve_time=0.00743225, update_time=0.0, polish_time=0.0, run_time=0.0093315))""}}, ""problem_class"": ""LP""}" +2716,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,fffff800,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:06,0.04250001907348633,OPTIMAL,0.0,555679.5648174956,-555679.5648174956,1.633696068512883,1.18138532250782e-12,,"{""solver_solve_time"": null, 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0, ""scale"": 0.1, ""pobj"": -601480.75182823, ""dobj"": -602031.5158795428, ""res_pri"": 4.403177872990169, ""res_dual"": 2.169764204052143, ""gap"": 550.764051312786, ""res_infeas"": NaN, ""res_unbdd_a"": 7.3205632260159565e-06, ""res_unbdd_p"": 0.0, ""comp_slack"": 7.01164840597867e-11, ""solve_time"": 6692.348, ""setup_time"": 2.582875, ""lin_sys_time"": 6031.280641000323, ""cone_time"": 239.40279099998884, ""accel_time"": 68.83507900001992, ""rejected_accel_steps"": 908, ""accepted_accel_steps"": 1, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2715,cvxpy_sdpa,unknown,NETLIB,fffff800,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": 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1.00003135e-03]"", ""s"": ""[2.62609912e+01 2.47547765e-13 2.51222477e-13 ... 2.43276203e+01\n 7.61443251e-07 7.64139673e-07]"", ""info"": {""exitFlag"": 0, ""pcost"": -72756.46661726305, ""dcost"": -72756.46661790462, ""pres"": 6.608258801103661e-10, ""dres"": 5.620990756691875e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 1.0557322926319266, ""gap"": 1.0738312639370662e-05, ""relgap"": 1.4759255278104397e-10, ""r0"": 1e-08, ""iter"": 29, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.009384291000000001, ""tsetup"": 0.000559791, ""tsolve"": 0.0088245}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2726,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,finnis,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2725,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,finnis,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:51:16,0.02639007568359375,OPTIMAL,119489.04590761292,72756.4374744003,46732.60843321262,0.50246170265676,4.5331923157515746e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 72756.4374744003, ""solver_stats"": {""solver_name"": 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3359,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,finnis,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:41:03,0.5819524166666666,OPTIMAL,72756.43785986108,72756.43724782423,0.0006120368489064276,1.6874262509635084e-10,3.147655423027814e-21,56,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.5819524166666666, 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""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -68464.29329383207, ""scipy_nit"": 151, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2755,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,fit2p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2761,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,fit2p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:00:48,3.923588991165161,OPTIMAL,49275.15328057279,68464.29329383207,-19189.140013259283,0.9668617642500169,1.0707046840532644e-16,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 68464.29329383207, ""solver_stats"": 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3.89517841e+13\n 3.89517841e+13 3.89517841e+13 3.89517841e+13 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464844e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464844e+04 1.61464844e+04\n 1.61464844e+04 1.61464844e+04 1.61464844e+04 1.61464844e+04\n 1.61464844e+04 1.61464844e+04 1.61464844e+04 1.61464844e+04\n 3.89517841e+13 1.61464845e+04 1.61919844e+04 3.13680802e+05\n 3.14725402e+05 3.14724577e+05 3.14724011e+05 3.14723650e+05\n 3.14723393e+05 1.61624844e+04 1.62294848e+04]"", ""s"": ""[3.90503093e+08 3.87651102e+08 3.69814006e+08 3.94457140e+08\n 3.76373144e+08 3.94433551e+08 3.76348778e+08 3.94417335e+08\n 3.76332027e+08 3.94407017e+08 3.76321369e+08 3.94399647e+08\n 3.76313755e+08 3.92558067e+08 1.64154212e-01 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 4.00808005e+11\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 1.64154212e-01 3.93689234e+08 3.90503093e+08 1.78370898e+07\n 1.80839888e+07 1.80847666e+07 1.80853013e+07 1.80856416e+07\n 1.80858846e+07 3.92558067e+08 3.87946832e+08]"", ""info"": {""exitFlag"": 2, ""pcost"": -924479238215.9592, ""dcost"": -32.04395802918402, ""pres"": 0.4068278425068653, ""dres"": 0.1363092638424019, ""pinf"": 0.0, ""dinf"": 1.0, ""pinfres"": NaN, ""dinfres"": 1.0950988144939399e-09, ""gap"": 0.00769988658193687, ""relgap"": 8.328890756698821e-15, ""r0"": 1e-08, ""iter"": 6, ""mi_iter"": -1, ""infostring"": ""Dual infeasible"", ""timing"": {""runtime"": 0.000253666, ""tsetup"": 5.1291e-05, ""tsolve"": 0.000202375}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2771,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:01,0.00251007080078125,UNBOUNDED,,,,,,,"{""solver_solve_time"": 0.0002699997276067734, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.0002699997276067734, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2767,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:00:58,0.003693103790283203,UNBOUNDED,,,,,,,"{""solver_solve_time"": 0.00026045800000000003, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.00026045800000000003, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([-3.81217337e-02, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -5.25815972e-05, -3.83023955e-05,\n -3.83023934e-05, -3.83023920e-05, -3.83023911e-05, -3.83023905e-05,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.00000000e+00, -1.00000000e+00,\n -1.00000000e+00, -1.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.13337213e-16, 2.18607528e-07, -8.23108393e-08,\n -8.23066401e-08, -8.23038467e-08, -8.23020774e-08, -8.23008526e-08,\n 4.04399265e-17, -5.59135051e-10]), info=namespace(_pybind11_conduit_v1_=>, status='dual infeasible', status_val=5, status_polish=0, obj_val=-1e+30, prim_res=2.687094878197107e-07, dual_res=219120.00000000003, iter=75, rho_updates=1, rho_estimate=1e-06, setup_time=7.9833e-05, solve_time=0.000180625, update_time=0.0, polish_time=0.0, run_time=0.00026045800000000003))""}}, ""problem_class"": ""LP""}" +2770,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:00,0.0049800872802734375,UNBOUNDED,,,,,,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2765,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:00:56,0.004140615463256836,UNBOUNDED,,,,,,425,"{""solver_solve_time"": 0.0017050829999999998, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.0017050829999999998, ""setup_time"": 0.000107333, ""num_iters"": 425, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-1.73025495e-05 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 1.18791172e-07 1.28046301e-07\n 1.28046301e-07 1.28046301e-07 1.28046301e-07 1.28046301e-07\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 -4.56787263e-04 -4.56787263e-04\n -4.56787263e-04 -4.56787263e-04 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 -1.47029810e-09 -1.00474653e-05 -1.00419238e-05\n -1.00419238e-05 -1.00419238e-05 -1.00419238e-05 -1.00419238e-05\n -5.17027903e-10 -1.89944196e-09]"", ""y"": ""[nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan]"", ""s"": ""[1.46212799e-09 1.01662565e-05 1.18784081e-07 1.01699701e-05\n 1.28040192e-07 1.01699701e-05 1.28040192e-07 1.01699701e-05\n 1.28040192e-07 1.01699701e-05 1.28040192e-07 1.01699701e-05\n 1.28040192e-07 5.14154896e-10 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 2.28392909e-01\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 1.46212799e-09 9.99395151e-06\n 9.98841007e-06 9.98841007e-06 9.98841007e-06 9.98841007e-06\n 9.98841007e-06 5.14154896e-10 1.88914436e-09]"", ""info"": {""status_val"": -1, ""iter"": 425, ""scale_updates"": 3, ""scale"": 1e-06, ""pobj"": -Infinity, ""dobj"": -Infinity, ""res_pri"": NaN, ""res_dual"": NaN, ""gap"": NaN, ""res_infeas"": NaN, ""res_unbdd_a"": 5.3513819518904616e-08, ""res_unbdd_p"": 0.0, ""comp_slack"": 5.611189780521546e-24, ""solve_time"": 1.705083, ""setup_time"": 0.107333, ""lin_sys_time"": 1.2733810000000005, ""cone_time"": 0.06786299999999985, ""accel_time"": 0.10685599999999998, ""rejected_accel_steps"": 1, ""accepted_accel_steps"": 0, ""status"": ""unbounded""}}}}, ""problem_class"": ""LP""}" +2769,cvxpy_sdpa,unknown,NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:00:59,0.014292001724243164,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3369,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:42:01,0.0,ERROR,,,,,,,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""error"", ""solve_time"": 0, ""setup_time"": [], ""iterations"": [], ""primal_objective_value"": [], ""dual_objective_value"": [], ""duality_gap"": [], ""primal_infeasibility"": [], ""dual_infeasibility"": [], ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Solver error"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:41:59"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""full_info"": {""error_message"": "" total dimension of C should be > length(b)""}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""full_info"": {""error_message"": "" total dimension of C should be > length(b)""}}, ""problem_class"": ""LP""}" +3368,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:41:57,0.182174,OPTIMAL,0.0,2.4527341564915674e-20,2.4527341564915674e-20,6.433956994414006e-15,3.811743548727455e-22,4,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.182174, ""setup_time"": [], ""iterations"": 4, ""primal_objective_value"": 0, ""dual_objective_value"": 2.4527341564915674e-20, ""duality_gap"": 2.4527341564915674e-20, ""primal_infeasibility"": 6.433956994414006e-15, ""dual_infeasibility"": 3.811743548727455e-22, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:41:54"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 4, ""feasratio"": 1, ""full_info"": {""iter"": 4, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.567225398713089e-14, ""timing"": [0.06771236658096313, 0.09308941662311554, 0.00234358012676239], ""wallsec"": 0.16314536333084106, ""cpusec"": 0.27}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 4, ""feasratio"": 1, ""full_info"": {""iter"": 4, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.567225398713089e-14, ""timing"": [0.06771236658096313, 0.09308941662311554, 0.00234358012676239], ""wallsec"": 0.16314536333084106, ""cpusec"": 0.27}}, ""problem_class"": ""LP""}" +2763,scipy_linprog,scipy-1.15.3,NETLIB,forplan,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:00:55,0.0011279582977294922,INFEASIBLE,,,,,,0,"{""solver_solve_time"": 0.0011279582977294922, ""original_status"": {""scipy_status"": 2, ""scipy_success"": false, ""scipy_message"": ""The problem is infeasible. (HiGHS Status 8: model_status is Infeasible; primal_status is None)"", ""scipy_fun"": null, ""scipy_nit"": 0, ""scipy_crossover_nit"": 0}, ""problem_class"": ""LP""}" +2773,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:02,0.06042003631591797,OPTIMAL,-109585.73637490899,-109585.73633519321,-3.9715770981274545e-05,2.8527382877579403e-10,8.404021152307607e-12,33,"{""solver_solve_time"": 0.043209921, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109585.73633519321, ""solver_stats"": {""solve_time"": 0.043209921, ""num_iters"": 33, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2777,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:14,8.22394609451294,OPTIMAL,-109585.7758379213,-109585.76914306471,-0.006694856594549492,4.8094940066562525e-08,1.2952949061913878e-09,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109585.76914306471, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2775,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:04,0.05605292320251465,OPTIMAL,-109585.73613028837,-109585.73613012172,-1.666485331952572e-07,1.1965519443282648e-12,2.4451333009675557e-13,33,"{""solver_solve_time"": 0.038382583, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109585.73613012172, ""solver_stats"": {""solve_time"": 0.038382583, ""setup_time"": 0.000982583, ""num_iters"": 33, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 3.58298307e-13 3.95535940e-13 4.43138808e-13 ... -6.72581104e-13\n 7.82903085e-13 3.87316076e-14]"", ""y"": ""[]"", ""z"": ""[15888.94736566 12452.36729422 14452.83292394 ... 44437.48711623\n 39631.1480307 11614.06438852]"", ""s"": ""[7.04510690e-14 8.98928948e-14 7.74510640e-14 ... 2.51937630e-14\n 2.82487671e-14 9.63809447e-14]"", ""info"": {""exitFlag"": 0, ""pcost"": 109585.7361301218, ""dcost"": 109585.73613028837, ""pres"": 2.1698801641192155e-15, ""dres"": 1.0353556472608429e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.4527844625015827, ""dinfres"": NaN, ""gap"": 5.4689214738377766e-05, ""relgap"": 4.990541348680345e-10, ""r0"": 1e-08, ""iter"": 33, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.039365166, ""tsetup"": 0.000982583, ""tsolve"": 0.038382583}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2780,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:17,0.03281998634338379,OPTIMAL,-109585.73612927814,-109585.7361292782,5.820766091346741e-11,3.7648257104679316e-17,1.1403314017089986e-14,880,"{""solver_solve_time"": 0.012828124687075615, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109585.7361292782, ""solver_stats"": {""solve_time"": 0.012828124687075615, ""num_iters"": 880, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2776,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:05,0.20675277709960938,OPTIMAL,-109580.66304570169,-109581.0256089913,0.36256328961462714,5.985533035502661e-06,6.98648333498056e-07,2900,"{""solver_solve_time"": 0.189841374, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109581.0256089913, ""solver_stats"": {""solve_time"": 0.189841374, ""num_iters"": 2900, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([6.19445063e-07, 6.21893035e-07, 6.20557836e-07, ...,\n 2.05540064e-06, 2.01399131e-06, 8.22422851e-07], shape=(1706,)), y=array([15027.25049534, 11854.3209278 , 13972.31694451, ...,\n 44506.56026412, 39563.9353335 , 11614.45105764], shape=(2103,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2103,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1706,)), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=109581.02560899126, prim_res=4.815844848469719e-06, dual_res=0.39578710462715455, iter=2900, rho_updates=0, rho_estimate=0.04900375144130281, setup_time=0.00156375, solve_time=0.187232291, update_time=0.0, polish_time=0.001045333, run_time=0.189841374))""}}, ""problem_class"": ""LP""}" +2779,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:16,0.07585930824279785,OPTIMAL,-109585.73612927785,-109585.73612927811,2.6193447411060333e-10,1.2045918452277633,9.11822315196359e-15,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109585.73612927811, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2774,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:04,0.5600399971008301,OPTIMAL,-109586.45012783087,-109586.35686549707,-0.09326233380124904,2.4300019839257184e-07,9.518386559337735e-07,5200,"{""solver_solve_time"": 0.5393895, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -109586.35686549707, ""solver_stats"": {""solve_time"": 0.5393895, ""setup_time"": 0.002366416, ""num_iters"": 5200, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 1.46031211e-07 -4.97555772e-08 -2.14122831e-07 ... -2.67467466e-06\n -2.58973050e-06 3.12198424e-06]"", ""y"": ""[15148.95054403 12525.84313751 15766.63287938 ... 44334.11456034\n 39734.48711519 11614.06755633]"", ""s"": ""[0. 0. 0. ... 0. 0. 0.]"", ""info"": {""status_val"": 1, ""iter"": 5200, ""scale_updates"": 3, ""scale"": 674.5442318037849, ""pobj"": 109586.35686549706, ""dobj"": 109586.45012783086, ""res_pri"": 1.3152335179750307e-05, ""res_dual"": 0.009578725324164922, ""gap"": 0.09326233379319815, ""res_infeas"": 0.9125124491518135, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 1.91888176047071e-11, ""solve_time"": 539.3895, ""setup_time"": 2.366416, ""lin_sys_time"": 459.2669830000011, ""cone_time"": 26.704262000000455, ""accel_time"": 8.604741000000148, ""rejected_accel_steps"": 45, ""accepted_accel_steps"": 4, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2778,cvxpy_sdpa,unknown,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:15,0.13807916641235352,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3371,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:42:11,0.359013125,OPTIMAL,-109585.73607804028,-109585.73638775744,0.00030971715750638396,3.063533367120862e-12,7.189104978896272e-15,22,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.359013125, ""setup_time"": [], ""iterations"": 22, ""primal_objective_value"": -109585.73607804028, ""dual_objective_value"": -109585.73638775744, ""duality_gap"": 0.00030971715750638396, ""primal_infeasibility"": 3.063533367120862e-12, ""dual_infeasibility"": 7.189104978896272e-15, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:42:08"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": 0, ""iter"": 22, ""full_info"": {""dimacs"": [7.73183926348816e-12, 0, 1.5215293748162472e-09, 0, 1.413120765458496e-09, 1.4598236397179936e-09], ""termcode"": 0, ""iter"": 22, ""obj"": [-109585.73607804027, -109585.73638775744], ""gap"": 0.00031995315648101255, ""relgap"": 1.4598236397179936e-09, ""pinfeas"": 3.063533367120862e-12, ""dinfeas"": 3.6691926530743346e-10, ""cputime"": 0.24126100000000328, ""time"": {""preproc"": 0.04468800000000073, ""pred"": 0.10930000000000106, ""pred_pstep"": 0.005344000000000904, ""pred_dstep"": 0.005768999999999025, ""corr"": 0.025510000000002364, ""corr_pstep"": 0.0036979999999982027, ""corr_dstep"": 0.004474000000001865, ""pchol"": 0.008745999999998588, ""dchol"": 0.003578999999996668, ""misc"": 0.03151900000000296}, ""resid"": [], ""reldist"": [], ""normX"": 552913.3251824876, ""normy"": 39512934.11943248, ""normZ"": 39512933.88286649, ""normb"": 252383.0602424486, ""maxb"": 100000, ""normC"": 6.220153254455275, ""maxC"": 1.5, ""normA"": 64.81980556136169, ""msg1"": [], ""msg2"": ""stop: max(relative gap, infeasibilities) < 1.00e-08"", ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 22, ""full_info"": {""dimacs"": [7.73183926348816e-12, 0, 1.5215293748162472e-09, 0, 1.413120765458496e-09, 1.4598236397179936e-09], ""termcode"": 0, ""iter"": 22, ""obj"": [-109585.73607804027, -109585.73638775744], ""gap"": 0.00031995315648101255, ""relgap"": 1.4598236397179936e-09, ""pinfeas"": 3.063533367120862e-12, ""dinfeas"": 3.6691926530743346e-10, ""cputime"": 0.24126100000000328, ""time"": {""preproc"": 0.04468800000000073, ""pred"": 0.10930000000000106, ""pred_pstep"": 0.005344000000000904, ""pred_dstep"": 0.005768999999999025, ""corr"": 0.025510000000002364, ""corr_pstep"": 0.0036979999999982027, ""corr_dstep"": 0.004474000000001865, ""pchol"": 0.008745999999998588, ""dchol"": 0.003578999999996668, ""misc"": 0.03151900000000296}, ""resid"": [], ""reldist"": [], ""normX"": 552913.3251824876, ""normy"": 39512934.11943248, ""normZ"": 39512933.88286649, ""normb"": 252383.0602424486, ""maxb"": 100000, ""normC"": 6.220153254455275, ""maxC"": 1.5, ""normA"": 64.81980556136169, ""msg1"": [], ""msg2"": ""stop: max(relative gap, infeasibilities) < 1.00e-08"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3370,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:42:06,0.89242675,OPTIMAL (INACCURATE),-109585.8839445787,-109585.88379151354,0.00015306516434065998,1.6955507835554558e-07,1.8660279748246387e-09,34,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal (inaccurate)"", ""solve_time"": 0.89242675, ""setup_time"": [], ""iterations"": 34, ""primal_objective_value"": -109585.8839445787, ""dual_objective_value"": -109585.88379151354, ""duality_gap"": 0.00015306516434065998, ""primal_infeasibility"": 1.6955507835554558e-07, ""dual_infeasibility"": 1.8660279748246387e-09, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Numerical problems warning (low accuracy)"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:42:04"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""iter"": 34, ""feasratio"": 0.8110653185788748, ""full_info"": {""iter"": 34, ""feasratio"": 0.8110653185788748, ""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""r0"": 4.27928290857045e-07, ""timing"": [0.05988702178001404, 0.8127395063638687, 0.003289058804512024], ""wallsec"": 0.8759155869483948, ""cpusec"": 2.2199999999999998}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""iter"": 34, ""feasratio"": 0.8110653185788748, ""full_info"": {""iter"": 34, ""feasratio"": 0.8110653185788748, ""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""r0"": 4.27928290857045e-07, ""timing"": [0.05988702178001404, 0.8127395063638687, 0.003289058804512024], ""wallsec"": 0.8759155869483948, ""cpusec"": 2.2199999999999998}}, ""problem_class"": ""LP""}" +2772,scipy_linprog,scipy-1.15.3,NETLIB,ganges,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:01,0.034844160079956055,OPTIMAL,-109585.73612927791,,,9.094947017729282e-12,,564,"{""solver_solve_time"": 0.034844160079956055, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -109585.73612927791, ""scipy_nit"": 564, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2782,cvxpy_clarabel,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:18,0.5798001289367676,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:18 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:18 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:18 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:18 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_clarabel\n2026-07-05 18:01:18 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_clarabel\n2026-07-05 18:01:18 - solver_cvxpy_clarabel - INFO - Initialized CVXPY solver 'cvxpy_clarabel' with backend 'CLARABEL'\n2026-07-05 18:01:18 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:18 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2786,cvxpy_cvxopt,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:21,0.5682611465454102,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:20 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:20 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:20 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:20 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_cvxopt\n2026-07-05 18:01:20 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_cvxopt\n2026-07-05 18:01:20 - solver_cvxpy_cvxopt - INFO - Initialized CVXPY solver 'cvxpy_cvxopt' with backend 'CVXOPT'\n2026-07-05 18:01:20 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:20 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2784,cvxpy_ecos,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:19,0.5855271816253662,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:19 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:19 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:19 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:19 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_ecos\n2026-07-05 18:01:19 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_ecos\n2026-07-05 18:01:19 - solver_cvxpy_ecos - INFO - Initialized CVXPY solver 'cvxpy_ecos' with backend 'ECOS'\n2026-07-05 18:01:19 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:19 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2789,cvxpy_highs,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:22,0.5864620208740234,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:22 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_highs\n2026-07-05 18:01:22 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_highs\n2026-07-05 18:01:22 - solver_cvxpy_highs - INFO - Initialized CVXPY solver 'cvxpy_highs' with backend 'HIGHS'\n2026-07-05 18:01:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2785,cvxpy_osqp,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:20,0.5246739387512207,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:20 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:20 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:20 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:20 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_osqp\n2026-07-05 18:01:20 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_osqp\n2026-07-05 18:01:20 - solver_cvxpy_osqp - INFO - Initialized CVXPY solver 'cvxpy_osqp' with backend 'OSQP'\n2026-07-05 18:01:20 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:20 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2788,cvxpy_scip,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:22,0.570828914642334,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:22 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_scip\n2026-07-05 18:01:22 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_scip\n2026-07-05 18:01:22 - solver_cvxpy_scip - INFO - Initialized CVXPY solver 'cvxpy_scip' with backend 'SCIP'\n2026-07-05 18:01:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2783,cvxpy_scs,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:19,0.6517829895019531,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:19 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:19 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:19 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:19 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_scs\n2026-07-05 18:01:19 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_scs\n2026-07-05 18:01:19 - solver_cvxpy_scs - INFO - Initialized CVXPY solver 'cvxpy_scs' with backend 'SCS'\n2026-07-05 18:01:19 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:19 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2787,cvxpy_sdpa,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:21,0.659430980682373,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:21 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:21 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:21 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:21 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_sdpa\n2026-07-05 18:01:21 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_sdpa\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/cvxpy/problems/problem.py:1504: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n warnings.warn(\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/sdpap/sdpaputils.py:114: RuntimeWarning: k >= N - 1 for N * N square matrix. Attempting to use scipy.linalg.eig instead.\n eig = eigs(mat.toarray(), k=1, which='SM',\n2026-07-05 18:01:21 - solver_cvxpy_sdpa - INFO - Initialized CVXPY solver 'cvxpy_sdpa' with backend 'SDPA'\n2026-07-05 18:01:21 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:21 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3373,matlab_sdpt3,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:42:19,4.492339849472046,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""Error: Index exceeds the number of array elements. Index must not exceed 3.; Original error: Index exceeds the number of array elements. Index must not exceed 3."", ""problem_class"": ""UNKNOWN""}" +3372,matlab_sedumi,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:42:15,3.4723241329193115,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""Error: Index exceeds the number of array elements. Index must not exceed 3.; Original error: Index exceeds the number of array elements. Index must not exceed 3."", ""problem_class"": ""UNKNOWN""}" +2781,scipy_linprog,unknown,NETLIB,gfrd_pnc,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:18,0.5794591903686523,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:01:18 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:18 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:18 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:18 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with scipy_linprog\n2026-07-05 18:01:18 - python_solver_runner - INFO - Solving gfrd_pnc with scipy_linprog\n2026-07-05 18:01:18 - solver_scipy_linprog - INFO - Initialized SciPy solver with method 'highs'\n2026-07-05 18:01:18 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:18 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range"", ""problem_class"": ""UNKNOWN""}" +2791,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:27,1.006890058517456,OPTIMAL,-72462797.52317087,-72462797.37399621,-0.14917466044425964,2.9135073544201153e-07,1.360273825189103e-10,44,"{""solver_solve_time"": 0.923988379, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -72462797.37399621, ""solver_stats"": {""solve_time"": 0.923988379, ""num_iters"": 44, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2795,cvxpy_cvxopt,unknown,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:19,1.0067718029022217,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2793,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:12,0.556617021560669,OPTIMAL,-72462740.61998469,-72462740.60145164,-0.018533051013946533,3.5232162714099106e-08,1.3427364443523437e-10,43,"{""solver_solve_time"": 0.468609291, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -72462740.60145164, ""solver_stats"": {""solve_time"": 0.468609291, ""setup_time"": 0.006584333, ""num_iters"": 43, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 2.48776878e+02 2.40515895e+02 1.00000002e+02 ... -9.21434404e-07\n -1.97463392e-05 -1.20170601e-06]"", ""y"": ""[]"", ""z"": ""[1.05984389e-06 1.16807256e-06 8.30207588e+05 ... 5.99000001e+02\n 3.00000013e+01 4.66986248e+02]"", ""s"": ""[5.61113573e+02 5.09113510e+02 7.16252048e-10 ... 9.92729903e-07\n 1.98185701e-05 1.27317552e-06]"", ""info"": {""exitFlag"": 0, ""pcost"": 72462740.60145162, ""dcost"": 72462740.61998464, ""pres"": 5.531353812007212e-09, ""dres"": 2.4103771070185514e-09, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.01044203126777328, ""dinfres"": NaN, ""gap"": 0.04704216735564116, ""relgap"": 6.491911146770414e-10, ""r0"": 1e-08, ""iter"": 43, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.475193624, ""tsetup"": 0.006584333, ""tsolve"": 0.468609291}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2798,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:25,0.7787389755249023,OPTIMAL,-72555539.72984585,-72555539.72984591,5.960464477539063e-08,1.0220186830248202e-12,2.7446727631688247e-17,7068,"{""solver_solve_time"": 0.6877890843898058, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -72555539.72984591, ""solver_stats"": {""solve_time"": 0.6877890843898058, ""num_iters"": 7068, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2794,cvxpy_osqp,unknown,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:17,3.6440210342407227,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2797,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:23,0.5403242111206055,OPTIMAL,9922724.412516579,-72555539.72984597,82478264.14236255,31.312079271632566,2.623474614676416e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -72555539.72984597, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2792,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:10,41.37846302986145,OPTIMAL (INACCURATE),-65259701.23942912,-65257384.55879246,-2316.680636666715,6.3759538290874915e-06,1.7139823106787383e-05,100000,"{""solver_solve_time"": 41.279718791, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -65257384.55879246, ""solver_stats"": {""solve_time"": 41.279718791, ""setup_time"": 0.016216583, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 3.21712119e+02 3.12669635e+02 1.18465562e+02 ... -1.48138455e-02\n -6.78117971e-04 -1.08786712e-02]"", ""y"": ""[2.00790922e-12 0.00000000e+00 7.56955247e+05 ... 5.99000252e+02\n 2.99999130e+01 4.66984097e+02]"", ""s"": ""[267926.89441097 329652.94284373 0. ... 0.\n 0. 0. ]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 4, ""scale"": 0.09294274055972013, ""pobj"": 65257384.55879245, ""dobj"": 65259701.2394291, ""res_pri"": 14.83280861811499, ""res_dual"": 0.0791093527250682, ""gap"": 2316.6806366492488, ""res_infeas"": 0.0001829306566421614, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 1.4830011066682256e-07, ""solve_time"": 41279.718791, ""setup_time"": 16.216583, ""lin_sys_time"": 37010.84347800043, ""cone_time"": 1709.4686100001488, ""accel_time"": 349.86848200011565, ""rejected_accel_steps"": 906, ""accepted_accel_steps"": 0, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2796,cvxpy_sdpa,unknown,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:21,0.5677719116210938,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3375,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:42:55,25.322530208333333,MAX_ITER,-2.2580687378117503e-17,0.0,2.2580687378117503e-17,0.9999648103997207,0.0007446047006291459,100,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""max_iter"", ""solve_time"": 25.322530208333333, ""setup_time"": [], ""iterations"": 100, ""primal_objective_value"": -2.2580687378117503e-17, ""dual_objective_value"": 0, ""duality_gap"": 2.2580687378117503e-17, ""primal_infeasibility"": 0.9999648103997207, ""dual_infeasibility"": 0.0007446047006291459, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Maximum number of iterations reached"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:42:53"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -6, ""iter"": 100, ""full_info"": {""dimacs"": [2.380139606272587, 0, 1029.533221093412, 0, -2.2580687378117515e-17, 1.0437392953107079e-14], ""termcode"": -6, ""iter"": 100, ""obj"": [-2.2580687378117515e-17, 0], ""gap"": 1.0437392953107079e-14, ""relgap"": 1.0437392953107079e-14, ""pinfeas"": 2.380139606272587, ""dinfeas"": 1029.533221093412, ""cputime"": 25.153764999999975, ""time"": {""preproc"": 0.037410000000001276, ""pred"": 13.601362000000002, ""pred_pstep"": 0.022430999999969004, ""pred_dstep"": 0.02128400000001207, ""corr"": 11.295564000000002, ""corr_pstep"": 0.020626000000032008, ""corr_dstep"": 0.011341999999981311, ""pchol"": 0.03455599999998071, ""dchol"": 0.00993200000002048, ""misc"": 0.10470799999997027}, ""resid"": [], ""reldist"": [], ""normX"": 1.3488498446847281e-18, ""normy"": 0, ""normZ"": 103749.00204935181, ""normA"": 103991.82998982098, ""normb"": 28416.48675928842, ""normC"": 1342.3175622665824, ""msg1"": ""Stop: maximum number of iterations reached"", ""msg2"": [], ""model"": 2}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -6, ""iter"": 100, ""full_info"": {""dimacs"": [2.380139606272587, 0, 1029.533221093412, 0, -2.2580687378117515e-17, 1.0437392953107079e-14], ""termcode"": -6, ""iter"": 100, ""obj"": [-2.2580687378117515e-17, 0], ""gap"": 1.0437392953107079e-14, ""relgap"": 1.0437392953107079e-14, ""pinfeas"": 2.380139606272587, ""dinfeas"": 1029.533221093412, ""cputime"": 25.153764999999975, ""time"": {""preproc"": 0.037410000000001276, ""pred"": 13.601362000000002, ""pred_pstep"": 0.022430999999969004, ""pred_dstep"": 0.02128400000001207, ""corr"": 11.295564000000002, ""corr_pstep"": 0.020626000000032008, ""corr_dstep"": 0.011341999999981311, ""pchol"": 0.03455599999998071, ""dchol"": 0.00993200000002048, ""misc"": 0.10470799999997027}, ""resid"": [], ""reldist"": [], ""normX"": 1.3488498446847281e-18, ""normy"": 0, ""normZ"": 103749.00204935181, ""normA"": 103991.82998982098, ""normb"": 28416.48675928842, ""normC"": 1342.3175622665824, ""msg1"": ""Stop: maximum number of iterations reached"", ""msg2"": [], ""model"": 2}}, ""problem_class"": ""LP""}" +3374,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:42:25,1.119868625,UNBOUNDED,-0.9999999999999998,-14643068.419609647,14643067.419609647,0.9999647966013648,0.0005558432229694167,36,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""unbounded"", ""solve_time"": 1.119868625, ""setup_time"": [], ""iterations"": 36, ""primal_objective_value"": -0.9999999999999998, ""dual_objective_value"": -14643068.419609647, ""duality_gap"": 14643067.419609647, ""primal_infeasibility"": 0.9999647966013648, ""dual_infeasibility"": 0.0005558432229694167, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Dual infeasible (primal unbounded)"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:42:23"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 1, ""numerr"": 0, ""iter"": 36, ""feasratio"": 0.9812039059009111, ""full_info"": {""iter"": 36, ""feasratio"": 0.9812039059009111, ""pinf"": 0, ""dinf"": 1, ""numerr"": 0, ""r0"": 0.00039211496900461726, ""timing"": [0.07950067520141602, 1.019638404250145, 0.0031281262636184692], ""wallsec"": 1.1022672057151794, ""cpusec"": 2.9899999999999993}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 1, ""numerr"": 0, ""iter"": 36, ""feasratio"": 0.9812039059009111, ""full_info"": {""iter"": 36, ""feasratio"": 0.9812039059009111, ""pinf"": 0, ""dinf"": 1, ""numerr"": 0, ""r0"": 0.00039211496900461726, ""timing"": [0.07950067520141602, 1.019638404250145, 0.0031281262636184692], ""wallsec"": 1.1022672057151794, ""cpusec"": 2.9899999999999993}}, ""problem_class"": ""LP""}" +2790,scipy_linprog,scipy-1.15.3,NETLIB,greenbea,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:01:24,0.27950096130371094,OPTIMAL,-72555539.72984597,,,0.0,,2942,"{""solver_solve_time"": 0.27950096130371094, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -72555539.72984597, ""scipy_nit"": 2942, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2800,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:30,1.2379369735717773,OPTIMAL,-4287665.46378946,-4316050.982433076,28385.518643615767,0.07600710114700288,5.860036329026364e-14,57,"{""solver_solve_time"": 1.140364419, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4316050.982433076, ""solver_stats"": {""solve_time"": 1.140364419, ""num_iters"": 57, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2804,cvxpy_cvxopt,unknown,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:24,1.1373038291931152,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2802,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:14,0.738361120223999,OPTIMAL,-4287665.166577859,-4316050.729884949,28385.56330708973,0.07600718667915168,1.247942020734608e-12,67,"{""solver_solve_time"": 0.631596166, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4316050.729884949, ""solver_stats"": {""solve_time"": 0.631596166, ""setup_time"": 0.006585875, ""num_iters"": 67, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 1.31178100e-01 2.92294691e+00 1.57150720e+01 ... -5.98469403e-07\n -2.01124046e+02 -1.88622373e-07]"", ""y"": ""[5.88595897e-04 4.91903949e-05 9.03999093e+02 6.22750004e-05]"", ""z"": ""[4.76432547e-07 4.65139819e-07 4.64328759e-07 ... 2.30000001e+02\n 7.20753623e-07 6.63999569e+02]"", ""s"": ""[3.04021735e+02 3.11317084e+02 3.11838690e+02 ... 6.27795845e-07\n 2.01124046e+02 2.17476958e-07]"", ""info"": {""exitFlag"": 0, ""pcost"": 4316050.72988495, ""dcost"": 4316050.738108498, ""pres"": 1.6660479208088599e-09, ""dres"": 9.237303423319572e-09, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.4600901829216886, ""dinfres"": NaN, ""gap"": 0.04279000524698182, ""relgap"": 9.914157141195812e-09, ""r0"": 1e-08, ""iter"": 67, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.638182041, ""tsetup"": 0.006585875, ""tsolve"": 0.631596166}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2807,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:31,0.6263570785522461,OPTIMAL,-4287664.902688831,-4316050.502688831,28385.599999999627,0.07600725462324458,1.373218525755333e-18,5680,"{""solver_solve_time"": 0.5018408317118883, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4316050.502688831, ""solver_stats"": {""solve_time"": 0.5018408317118883, ""num_iters"": 5680, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2803,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:21,4.2566399574279785,OPTIMAL (INACCURATE),-4293537.182714458,-4322265.7361975135,28728.553483055905,0.07600366825088732,1.857310503342599e-07,10000,"{""solver_solve_time"": 4.099151791, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -4322265.7361975135, ""solver_stats"": {""solve_time"": 4.099151791, ""num_iters"": 10000, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([-4.25405966e-02, 2.69054690e+00, 1.57152347e+01, ...,\n -1.52795107e-05, -1.24228569e-05, -1.30254662e-05], shape=(2798,)), y=array([ 7.72331149e-06, -1.51486216e-04, 9.03996240e+02, ...,\n 2.30001764e+02, 1.52921771e-03, 6.63999958e+02], shape=(6004,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(6004,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2798,)), info=namespace(_pybind11_conduit_v1_=>, status='solved inaccurate', status_val=2, status_polish=0, obj_val=4322265.736197514, prim_res=0.2054966211309771, dual_res=0.3465509858961531, iter=10000, rho_updates=4, rho_estimate=9.858563451691573e-05, setup_time=0.019955916, solve_time=4.079195875, update_time=0.0, polish_time=0.0, run_time=4.099151791))""}}, ""problem_class"": ""LP""}" +2806,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:28,1.2069509029388428,OPTIMAL,-4126733.1511527835,-4316050.502688831,189317.35153604718,3.089612744677008,1.792064108687187e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4316050.502688831, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2801,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:12,40.30504393577576,OPTIMAL (INACCURATE),-4285660.668917581,-4313462.073521448,27801.40460386686,0.07600725658503665,2.528603898082728e-07,100000,"{""solver_solve_time"": 40.197895541, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -4313462.073521448, ""solver_stats"": {""solve_time"": 40.197895541, ""setup_time"": 0.016663458, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 1.30872622e-01 3.16711849e+00 1.57164083e+01 ... -1.34955073e-03\n -6.43562874e+00 -3.88195431e-03]"", ""y"": ""[-1.63841676e-05 -4.22489450e-05 9.04000070e+02 ... 2.30000012e+02\n 0.00000000e+00 6.64000000e+02]"", ""s"": ""[0. 0. 0. ... 0. 6.43562874 0. ]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 0, ""scale"": 0.1, ""pobj"": 4313462.073521448, ""dobj"": 4314046.271109075, ""res_pri"": 0.5066591175812842, ""res_dual"": 0.005007374748538409, ""gap"": 584.1975876263575, ""res_infeas"": 0.002755881430323742, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 4.6579982420028253e-07, ""solve_time"": 40197.895541, ""setup_time"": 16.663458, ""lin_sys_time"": 36159.35532200008, ""cone_time"": 1541.4509170000542, ""accel_time"": 336.32528400011984, ""rejected_accel_steps"": 909, ""accepted_accel_steps"": 0, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2805,cvxpy_sdpa,unknown,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:26,0.6281998157501221,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3377,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:43:32,24.4896965,MAX_ITER,-2.5015899429209698e-17,0.0,2.5015899429209698e-17,0.9999621005018928,0.0007447068656509584,100,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""max_iter"", ""solve_time"": 24.4896965, ""setup_time"": [], ""iterations"": 100, ""primal_objective_value"": -2.5015899429209698e-17, ""dual_objective_value"": 0, ""duality_gap"": 2.5015899429209698e-17, ""primal_infeasibility"": 0.9999621005018928, ""dual_infeasibility"": 0.0007447068656509584, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Maximum number of iterations reached"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:43:30"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -6, ""iter"": 100, ""full_info"": {""dimacs"": [2.2190558189093146, 0, 1030.1694835811086, 0, -2.5015899429209726e-17, 1.1262881933319485e-14], ""termcode"": -6, ""iter"": 100, ""obj"": [-2.5015899429209726e-17, 0], ""gap"": 1.1262881933319485e-14, ""relgap"": 1.1262881933319485e-14, ""pinfeas"": 2.2190558189093146, ""dinfeas"": 1030.1694835811086, ""cputime"": 24.314624999999985, ""time"": {""preproc"": 0.042485000000000106, ""pred"": 13.082512999999992, ""pred_pstep"": 0.02532899999999394, ""pred_dstep"": 0.02288600000000418, ""corr"": 10.95536400000001, ""corr_pstep"": 0.021986999999984214, ""corr_dstep"": 0.012242000000013853, ""pchol"": 0.03473700000000157, ""dchol"": 0.010529999999999262, ""misc"": 0.11195099999998703}, ""resid"": [], ""reldist"": [], ""normX"": 1.6511332121863587e-18, ""normy"": 0, ""normZ"": 103813.018607586, ""normA"": 104056.18503972115, ""normb"": 26384.57368683175, ""normC"": 1342.5015523154154, ""msg1"": ""Stop: maximum number of iterations reached"", ""msg2"": [], ""model"": 2}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -6, ""iter"": 100, ""full_info"": {""dimacs"": [2.2190558189093146, 0, 1030.1694835811086, 0, -2.5015899429209726e-17, 1.1262881933319485e-14], ""termcode"": -6, ""iter"": 100, ""obj"": [-2.5015899429209726e-17, 0], ""gap"": 1.1262881933319485e-14, ""relgap"": 1.1262881933319485e-14, ""pinfeas"": 2.2190558189093146, ""dinfeas"": 1030.1694835811086, ""cputime"": 24.314624999999985, ""time"": {""preproc"": 0.042485000000000106, ""pred"": 13.082512999999992, ""pred_pstep"": 0.02532899999999394, ""pred_dstep"": 0.02288600000000418, ""corr"": 10.95536400000001, ""corr_pstep"": 0.021986999999984214, ""corr_dstep"": 0.012242000000013853, ""pchol"": 0.03473700000000157, ""dchol"": 0.010529999999999262, ""misc"": 0.11195099999998703}, ""resid"": [], ""reldist"": [], ""normX"": 1.6511332121863587e-18, ""normy"": 0, ""normZ"": 103813.018607586, ""normA"": 104056.18503972115, ""normb"": 26384.57368683175, ""normC"": 1342.5015523154154, ""msg1"": ""Stop: maximum number of iterations reached"", ""msg2"": [], ""model"": 2}}, ""problem_class"": ""LP""}" +3376,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:43:03,2.616222,OPTIMAL,-4302431.164360859,-4302431.164322435,3.842450678348541e-05,4.598492623177215e-09,1.1787834052167176e-15,70,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 2.616222, ""setup_time"": [], ""iterations"": 70, ""primal_objective_value"": -4302431.164360859, ""dual_objective_value"": -4302431.164322435, ""duality_gap"": 3.842450678348541e-05, ""primal_infeasibility"": 4.598492623177215e-09, ""dual_infeasibility"": 1.1787834052167176e-15, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:43:01"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 70, ""feasratio"": 0.9998969898236436, ""full_info"": {""iter"": 70, ""feasratio"": 0.9998969898236436, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1e-08, ""timing"": [0.08092895150184631, 2.513786405324936, 0.004194304347038269], ""wallsec"": 2.5989096611738205, ""cpusec"": 6.72}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 70, ""feasratio"": 0.9998969898236436, ""full_info"": {""iter"": 70, ""feasratio"": 0.9998969898236436, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1e-08, ""timing"": [0.08092895150184631, 2.513786405324936, 0.004194304347038269], ""wallsec"": 2.5989096611738205, ""cpusec"": 6.72}}, ""problem_class"": ""LP""}" +2799,scipy_linprog,scipy-1.15.3,NETLIB,greenbeb,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:02:27,0.43603992462158203,OPTIMAL,-4316050.50268883,,,0.0,,4849,"{""solver_solve_time"": 0.43603992462158203, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. 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4.11129192e-09 2.08121690e-08]"", ""y"": ""[]"", ""z"": ""[323358.90115028 90792.72478186 314327.13562377 ... 16579.4995822\n 11319.49774917 552362.99863368]"", ""s"": ""[9.62989172e-10 3.42209010e-09 9.90429272e-10 ... 1.88415476e-08\n 2.82988750e-08 5.64575321e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": 106870941.29648253, ""dcost"": 106870941.30298789, ""pres"": 2.2960852913416225e-10, ""dres"": 1.0489491703960899e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.98032306804032, ""dinfres"": NaN, ""gap"": 0.5326214405701686, ""relgap"": 4.983781691041188e-09, ""r0"": 1e-08, ""iter"": 13, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.008741458, ""tsetup"": 0.0006405, ""tsolve"": 0.008100958}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2816,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,grow15,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:38,0.014799833297729492,OPTIMAL,-106870941.29357533,-106870941.29357533,0.0,1.0785442193890773e-15,6.762117241185102e-16,354,"{""solver_solve_time"": 0.007336415350437164, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -106870941.29357533, ""solver_stats"": {""solve_time"": 0.007336415350437164, ""num_iters"": 354, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2812,cvxpy_osqp,unknown,NETLIB,grow15,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:34,0.44054079055786133,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2815,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,grow15,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:37,0.1304941177368164,OPTIMAL,-106870941.29357535,-106870941.29357535,0.0,0.7077752235308163,3.635801449596207e-16,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -106870941.29357535, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2810,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,grow15,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:33,0.009195089340209961,UNBOUNDED,,,,,,0,"{""solver_solve_time"": 0.00013700000000000002, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.00013700000000000002, ""setup_time"": 0.001647875, ""num_iters"": 0, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 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7.59562359e-10 4.60896702e-09 -4.34874654e-09\n -9.24252866e-09 -2.23061026e-09 -4.51905907e-09 -4.28267542e-09\n -2.26072024e-09 6.99234550e-10 -4.22639249e-09 -5.51918160e-09\n -9.27672639e-09 -9.10054586e-09 -5.40359234e-09 -3.80992556e-09\n -3.91448968e-09 -1.41298036e-09 -3.38445415e-10 -1.69034161e-08\n 2.93642687e-09 6.00773594e-10 4.45701085e-09 -4.64651295e-09\n -9.69829013e-09 -2.57936816e-09 -4.82091846e-09 -4.59898767e-09\n -2.59344026e-09 4.41991786e-10 -4.55296304e-09 -5.89937387e-09\n -9.69527660e-09 -9.64195527e-09 -5.69938855e-09 -4.03744839e-09\n -4.17639962e-09 -1.56322748e-09 -5.17980708e-10 -1.75736739e-08\n 2.84451717e-09 5.15586267e-10 4.37764881e-09 -4.82591405e-09\n -9.95732639e-09 -2.77420488e-09 -5.00717140e-09 -4.79371683e-09\n -2.79686966e-09 2.97354940e-10 -4.75079176e-09 -6.13930428e-09\n -9.94411507e-09 -9.95490968e-09 -5.86411991e-09 -4.16708615e-09\n -4.32916608e-09 -1.65168119e-09 -6.25861252e-10 -1.79259099e-08\n 2.79909779e-09 4.73598760e-10 4.33876576e-09 -4.91925709e-09\n -1.00877434e-08 -2.87287699e-09 -5.10543239e-09 -4.89661590e-09\n -2.90470562e-09 2.23925049e-10 -4.85383075e-09 -6.26625768e-09\n -1.00714778e-08 -1.01141549e-08 -5.94594939e-09 -4.23249035e-09\n -4.40748405e-09 -1.69750061e-09 -6.83708846e-10 -1.80969846e-08\n 2.78526126e-09 4.61688292e-10 4.32709033e-09 -4.94519024e-09\n -1.01240395e-08 -2.90550209e-09 -5.13129872e-09 -4.92550579e-09\n -2.93670138e-09 1.99997795e-10 -4.88147271e-09 -6.29675240e-09\n -1.01025672e-08 -1.01568498e-08 -5.96992876e-09 -4.25171953e-09\n -4.43026111e-09 -1.71127321e-09 -7.04438362e-10 -1.81462861e-08\n 2.79814688e-09 4.76090989e-10 4.33843409e-09 -4.90882304e-09\n -1.00758406e-08 -2.88375022e-09 -5.08825239e-09 -4.88518675e-09\n -2.89960935e-09 2.16899749e-10 -4.83861776e-09 -6.23311983e-09\n -1.00418397e-08 -1.00925311e-08 -5.94371548e-09 -4.23034993e-09\n -4.40324077e-09 -1.69654073e-09 -6.93915405e-10 -1.80912321e-08\n 2.84018250e-09 5.20212197e-10 4.37492206e-09 -4.80161934e-09\n -9.93032072e-09 -2.80554297e-09 -4.96713659e-09 -4.76682204e-09\n -2.78822365e-09 2.74991457e-10 -4.71546975e-09 -6.06148897e-09\n -9.87210883e-09 -9.90552360e-09 -5.85956387e-09 -4.16259370e-09\n -4.31989684e-09 -1.65058192e-09 -6.52503795e-10 -1.79175259e-08\n 2.92104011e-09 6.05348755e-10 4.44483579e-09 -4.59925396e-09\n -9.64768818e-09 -2.65669234e-09 -4.74422916e-09 -4.54604468e-09\n -2.58625283e-09 3.80524506e-10 -4.48568481e-09 -5.74916851e-09\n -9.54874001e-09 -9.55115983e-09 -5.69112090e-09 -4.02924390e-09\n -4.15967596e-09 -1.56430368e-09 -5.76550584e-10 -1.75739875e-08\n 3.05904385e-09 7.53806720e-10 4.56333709e-09 -4.25681060e-09\n -9.14717712e-09 -2.41129654e-09 -4.37748707e-09 -4.17937926e-09\n -2.26843825e-09 5.39723976e-10 -4.10300385e-09 -5.24127606e-09\n -8.98653929e-09 -8.94515426e-09 -5.38328446e-09 -3.79143225e-09\n -3.88300329e-09 -1.42164249e-09 -4.60801347e-10 -1.69483029e-08\n 3.27902256e-09 1.00264883e-09 4.74795771e-09 -3.70176193e-09\n -8.27689219e-09 -2.03406052e-09 -3.80097116e-09 -3.59987785e-09\n -1.80781589e-09 7.41757245e-10 -3.49863471e-09 -4.45869950e-09\n -8.03512226e-09 -7.94348615e-09 -4.83237497e-09 -3.37887839e-09\n -3.42259554e-09 -1.19980249e-09 -3.04027401e-10 -1.58013000e-08\n 3.57256567e-09 1.38872517e-09 4.96772234e-09 -2.82927602e-09\n -6.75372381e-09 -1.48996460e-09 -2.91847481e-09 -2.71645725e-09\n -1.19618536e-09 9.11903816e-10 -2.58750283e-09 -3.30468347e-09\n -6.43585132e-09 -6.30515044e-09 -3.85739911e-09 -2.67357579e-09\n -2.67231107e-09 -8.73825539e-10 -1.22219056e-10 -1.35831863e-08\n 3.59602509e-09 1.77090179e-09 4.77691128e-09 -1.52165454e-09\n -4.04964837e-09 -7.57665536e-10 -1.59985117e-09 -1.43420174e-09\n -4.87985079e-10 8.08378105e-10 -1.30805135e-09 -1.70210896e-09\n -3.75190652e-09 -3.60610550e-09 -2.19368601e-09 -1.50679625e-09\n -1.48311554e-09 -4.31738283e-10 2.63915241e-11 -8.85144012e-09\n 3.74535750e-10 3.42163932e-09 1.79678178e-09 1.33665797e-09\n 6.40511827e-10 3.43946187e-10 6.42550456e-10 6.69170330e-10\n 6.76413670e-10 3.18282205e-09 5.91372389e-09 4.52171759e-10\n 5.24604904e-10 1.01531243e-09 3.82928336e-10 5.24429041e-10\n 1.71385214e-08 1.30351109e-08 8.34288591e-09 1.72771188e-08\n 6.42699574e-09 4.37412790e-09 8.44481656e-09 3.20736597e-10\n 1.95175392e-09 1.43620942e-09 7.99210607e-10 4.93989501e-10\n 8.06679186e-10 6.19934657e-10 6.13214818e-10 4.98707808e-10\n 1.62144087e-09 3.79669091e-09 3.89864083e-10 3.82748665e-10\n 7.73934604e-10 4.24964017e-10 3.58592664e-10 1.03866404e-08\n 7.45037610e-11 3.32396338e-09 1.65862832e-09 1.20940969e-09\n 4.33084766e-10 2.20174538e-10 2.99437946e-10 4.82283832e-10\n 4.07626678e-10 3.14293171e-09 6.38686390e-09 7.23009270e-11\n 3.04041440e-10 8.64017518e-10 3.14626184e-10 3.17025074e-10\n 1.91199220e-08 1.21122703e-08 7.62641753e-09 1.61875739e-08\n 5.88979854e-09 3.98144725e-09 7.76713085e-09 2.99951920e-10\n 1.73330696e-09 1.25485660e-09 7.34201002e-10 4.65397742e-10\n 7.36191252e-10 5.16801625e-10 5.65366243e-10 4.81771366e-10\n 1.46997180e-09 3.40618565e-09 3.29235935e-10 3.37701408e-10\n 6.97381763e-10 3.80980217e-10 3.20476547e-10 9.23791176e-09\n 2.19446950e-11 3.38667831e-09 1.72677511e-09 1.21031070e-09\n 4.06687736e-10 2.35515028e-10 3.08674382e-10 4.75674815e-10\n 3.56284758e-10 3.19112431e-09 6.68938927e-09 3.21830162e-11\n 2.83765037e-10 8.75951424e-10 3.22870626e-10 3.06596672e-10\n 2.00141901e-08 1.17973624e-08 7.35432748e-09 1.58649343e-08\n 5.73488998e-09 3.85269946e-09 7.59620163e-09 2.35151404e-10\n 1.55980928e-09 1.10991373e-09 6.65222635e-10 4.02993763e-10\n 6.56502956e-10 4.15591810e-10 4.90920100e-10 4.21247515e-10\n 1.34630176e-09 3.18379397e-09 2.27796910e-10 2.67024388e-10\n 6.18068177e-10 3.36170900e-10 2.72431864e-10 8.74057771e-09\n 3.51624947e-11 3.45557376e-09 1.79737972e-09 1.24024592e-09\n 4.29365475e-10 2.80208045e-10 3.54519847e-10 5.10475573e-10\n 3.72572303e-10 3.24716023e-09 6.87979774e-09 5.88574826e-11\n 3.04596865e-10 9.17571541e-10 3.43788483e-10 3.29714487e-10\n 2.04444068e-08 1.16577456e-08 7.22794117e-09 1.57357273e-08\n 5.67467163e-09 3.79913416e-09 7.53764725e-09 1.77015693e-10\n 1.44583404e-09 1.01748321e-09 6.09216752e-10 3.45662591e-10\n 5.92462302e-10 3.48844773e-10 4.27649438e-10 3.59743928e-10\n 1.25713445e-09 3.05078075e-09 1.52569042e-10 2.12949415e-10\n 5.59234305e-10 3.03090333e-10 2.35099519e-10 8.51091996e-09\n 5.81358708e-11 3.50330620e-09 1.84415749e-09 1.26965986e-09\n 4.57478741e-10 3.20791765e-10 3.88964950e-10 5.45113174e-10\n 4.01869587e-10 3.29025886e-09 6.99702964e-09 8.63912153e-11\n 3.25578901e-10 9.53137699e-10 3.61439230e-10 3.52101565e-10\n 2.06638036e-08 1.15862868e-08 7.16217218e-09 1.56727875e-08\n 5.64516193e-09 3.77219441e-09 7.51107619e-09 1.33691368e-10\n 1.37382827e-09 9.61144648e-10 5.66902229e-10 3.01160487e-10\n 5.45139075e-10 3.07628516e-10 3.80527079e-10 3.08404986e-10\n 1.19501620e-09 2.96716117e-09 1.04596409e-10 1.77121313e-10\n 5.19285374e-10 2.80472577e-10 2.08872296e-10 8.39451697e-09\n 7.60984727e-11 3.53169854e-09 1.87136286e-09 1.29090652e-09\n 4.78820723e-10 3.49363079e-10 4.09834475e-10 5.69666812e-10\n 4.26122498e-10 3.31814071e-09 7.06582325e-09 1.04176610e-10\n 3.39493279e-10 9.76670454e-10 3.73215050e-10 3.67777805e-10\n 2.07780640e-08 1.15482110e-08 7.12688380e-09 1.56399169e-08\n 5.62814544e-09 3.75638232e-09 7.49625998e-09 1.02192216e-10\n 1.32675078e-09 9.25946276e-10 5.34695234e-10 2.67548644e-10\n 5.10149759e-10 2.81565195e-10 3.45831941e-10 2.67052900e-10\n 1.15055338e-09 2.91090019e-09 7.42524868e-11 1.53610410e-10\n 4.92035580e-10 2.64867485e-10 1.90559129e-10 8.32820791e-09\n 8.63963712e-11 3.54615552e-09 1.88553148e-09 1.30282225e-09\n 4.91130374e-10 3.65604970e-10 4.20852131e-10 5.83262397e-10\n 4.40166398e-10 3.33270178e-09 7.10100587e-09 1.13424389e-10\n 3.46915948e-10 9.89421560e-10 3.79691558e-10 3.76948661e-10\n 2.08332803e-08 1.15294037e-08 7.10948921e-09 1.56238131e-08\n 5.61658542e-09 3.74537346e-09 7.48630139e-09 7.75187047e-11\n 1.29230042e-09 9.01771609e-10 5.08197185e-10 2.40459648e-10\n 4.82390568e-10 2.63446135e-10 3.18234962e-10 2.31746889e-10\n 1.11531522e-09 2.86824023e-09 5.30780670e-11 1.36709334e-10\n 4.71706380e-10 2.53137641e-10 1.76973092e-10 8.28363624e-09\n 8.91041742e-11 3.55024572e-09 1.89101232e-09 1.30557670e-09\n 4.94517943e-10 3.70646991e-10 4.24993957e-10 5.86646794e-10\n 4.42617080e-10 3.33546473e-09 7.11019916e-09 1.16250224e-10\n 3.49196507e-10 9.93200691e-10 3.81721190e-10 3.80771776e-10\n 2.08492425e-08 1.15236666e-08 7.10455871e-09 1.56189750e-08\n 5.60680452e-09 3.73574226e-09 7.47787586e-09 5.47153973e-11\n 1.26137341e-09 8.81868434e-10 4.82973625e-10 2.15127644e-10\n 4.57102909e-10 2.48501742e-10 2.92431534e-10 1.97294219e-10\n 1.08170823e-09 2.82907087e-09 3.47064500e-11 1.21849279e-10\n 4.53479431e-10 2.42704150e-10 1.65533995e-10 8.24543978e-09\n 8.41257048e-11 3.54499191e-09 1.89001077e-09 1.29889094e-09\n 4.88888067e-10 3.65134550e-10 4.23949308e-10 5.79828877e-10\n 4.32397972e-10 3.32607940e-09 7.09522095e-09 1.13390029e-10\n 3.46809144e-10 9.88609819e-10 3.79680277e-10 3.80184599e-10\n 2.08317669e-08 1.15290098e-08 7.11052739e-09 1.56236718e-08\n 5.59613498e-09 3.72486463e-09 7.46867253e-09 2.87876712e-11\n 1.22575178e-09 8.61204514e-10 4.54398475e-10 1.86561206e-10\n 4.29909782e-10 2.33425380e-10 2.63042496e-10 1.57764456e-10\n 1.04181054e-09 2.78416404e-09 1.34997355e-11 1.04870746e-10\n 4.32863748e-10 2.31274625e-10 1.54228065e-10 8.20201047e-09\n 7.02850522e-11 3.52867358e-09 1.88329587e-09 1.28136158e-09\n 4.73078628e-10 3.48898668e-10 4.18756249e-10 5.61336495e-10\n 4.07451793e-10 3.30143368e-09 7.05234097e-09 1.03663578e-10\n 3.38921025e-10 9.74567711e-10 3.73352042e-10 3.75888483e-10\n 2.07762543e-08 1.15464155e-08 7.12879990e-09 1.56387835e-08\n 5.58192527e-09 3.70985210e-09 7.45643796e-09 -6.04360711e-12\n 1.17556550e-09 8.35347476e-10 4.17140482e-10 1.49075911e-10\n 3.96753628e-10 2.16060800e-10 2.24011021e-10 1.06268953e-10\n 9.85575668e-10 2.72290795e-09 -1.73527648e-11 8.08620491e-11\n 4.04725086e-10 2.16516819e-10 1.41585075e-10 8.13984814e-09\n 4.50453343e-11 3.49593440e-09 1.87109543e-09 1.25017074e-09\n 4.44657143e-10 3.21624995e-10 4.11195252e-10 5.28100631e-10\n 3.64520913e-10 3.25439055e-09 6.97140830e-09 8.33336607e-11\n 3.22987125e-10 9.48070569e-10 3.62097030e-10 3.68925192e-10\n 2.06659552e-08 1.15799134e-08 7.16406140e-09 1.56677444e-08\n 5.56100852e-09 3.68667506e-09 7.43865383e-09 -5.73152471e-11\n 1.09581714e-09 8.00009811e-10 3.64493821e-10 9.56776540e-11\n 3.54352243e-10 1.96417703e-10 1.68047695e-10 3.46852757e-11\n 8.98157911e-10 2.63080149e-09 -6.83738627e-11 4.26267023e-11\n 3.62101155e-10 1.95879414e-10 1.27018849e-10 8.03657637e-09\n 4.84634786e-12 3.43551643e-09 1.85479898e-09 1.20114157e-09\n 4.00394907e-10 2.85137115e-10 4.07124001e-10 4.76238993e-10\n 3.00200922e-10 3.17156858e-09 6.83380726e-09 4.50905707e-11\n 2.94179730e-10 9.04212635e-10 3.45548289e-10 3.62095997e-10\n 2.04636536e-08 1.16370701e-08 7.22555712e-09 1.57168308e-08\n 5.53100387e-09 3.64993225e-09 7.41445270e-09 -1.35133495e-10\n 9.60471727e-10 7.51753368e-10 2.87711958e-10 1.77749725e-11\n 3.02081442e-10 1.80739585e-10 8.69049140e-11 -6.58551892e-11\n 7.55696128e-10 2.48598025e-09 -1.57343971e-10 -2.13328152e-11\n 2.94850049e-10 1.66898217e-10 1.12002898e-10 7.84576236e-09\n -5.23259738e-11 3.32600037e-09 1.84084900e-09 1.12978487e-09\n 3.38714329e-10 2.49596828e-10 4.24487803e-10 4.04726924e-10\n 2.15209699e-10 3.02980212e-09 6.60935700e-09 -2.16807272e-11\n 2.45594380e-10 8.37837971e-10 3.25843756e-10 3.62939129e-10\n 2.00888237e-08 1.17281934e-08 7.32863298e-09 1.57933045e-08\n 5.50407767e-09 3.59970148e-09 7.40158921e-09 -2.51322545e-10\n 7.21501943e-10 6.90678957e-10 1.75716347e-10 -9.34661765e-11\n 2.46809106e-10 1.92410822e-10 -2.53770292e-11 -2.01810246e-10\n 5.18567267e-10 2.25294582e-09 -3.12561645e-10 -1.28485326e-10\n 1.88748756e-10 1.28781787e-10 1.02839754e-10 7.45371210e-09\n -1.15415741e-10 3.13093074e-09 1.84717567e-09 1.03558844e-09\n 2.69052086e-10 2.49813580e-10 5.07766693e-10 3.28597796e-10\n 1.28458816e-10 2.79235378e-09 6.25291921e-09 -1.19474538e-10\n 1.74728397e-10 7.52559588e-10 3.14057646e-10 3.87955493e-10\n 1.93529893e-08 1.18497760e-08 7.48854678e-09 1.58843313e-08\n 5.60293428e-09 3.60112887e-09 7.55186900e-09 -4.10591791e-10\n 2.89263833e-10 6.21792443e-10 1.60841136e-11 -2.39448574e-10\n 2.11462444e-10 2.92580931e-10 -1.60190156e-10 -3.65992577e-10\n 1.21552640e-10 1.86470278e-09 -5.64654714e-10 -2.97396100e-10\n 2.80976015e-11 8.62828486e-11 1.14990870e-10 6.53366701e-09\n -1.12432981e-10 2.81001209e-09 1.89097624e-09 9.36203738e-10\n 2.47211175e-10 3.88632517e-10 7.17107664e-10 3.23555709e-10\n 1.23936413e-10 2.41489433e-09 5.70200589e-09 -1.71977209e-10\n 1.22877901e-10 7.00274838e-10 3.46221826e-10 4.53510662e-10\n 1.77532958e-08 1.18594990e-08 7.64684527e-09 1.58052935e-08\n 6.67450501e-09 4.19018879e-09 8.89197170e-09 -5.67428761e-10\n -4.95606757e-10 5.08362284e-10 -2.01852949e-10 -3.81648928e-10\n 2.32775190e-10 5.70168040e-10 -2.57110415e-10 -5.01212078e-10\n -5.34050909e-10 1.14210332e-09 -8.67713162e-10 -5.04315406e-10\n -1.86172249e-10 5.04086276e-11 1.67442439e-10 3.97097553e-09]"", ""y"": ""[nan nan nan ... nan nan nan]"", ""s"": ""[0. 0. 0. ... 0. 0. 0.]"", ""info"": {""status_val"": -1, ""iter"": 0, ""scale_updates"": 0, ""scale"": 0.1, ""pobj"": -Infinity, ""dobj"": -Infinity, ""res_pri"": NaN, ""res_dual"": NaN, ""gap"": NaN, ""res_infeas"": 0.024655848425685054, ""res_unbdd_a"": 2.084924245147182e-08, ""res_unbdd_p"": 0.0, ""comp_slack"": 5.170726100307764e-07, ""solve_time"": 0.137, ""setup_time"": 1.647875, ""lin_sys_time"": 0.041916, ""cone_time"": 0.004, ""accel_time"": 0.0, ""rejected_accel_steps"": 0, ""accepted_accel_steps"": 0, ""status"": ""unbounded""}}}}, ""problem_class"": ""LP""}" 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2.20633825e+04 1.44149633e+05 3.04585260e+05\n 5.74136962e+03 1.51422138e+04 3.83464038e+04 1.36136193e+04\n 1.37425060e+04 8.20604998e+05 2.15191853e-04 4.83473462e+05\n 5.67643992e-05 3.70069095e+05 2.38454693e+05 4.74602308e+05\n 2.80385768e+03 7.61722864e+04 5.40457169e+04 3.05999542e+04\n 1.21577807e+04 3.11685491e+04 1.23906647e+04 1.40223789e+04\n 1.03655867e+04 6.88437553e+04 1.85686093e+05 2.56452610e+03\n 5.72150312e+03 2.11699216e+04 9.16492956e+03 6.42935536e+03\n 4.86855865e+05 4.45767855e+03 1.24424720e+05 6.93632096e+04\n 5.47444570e+04 1.75953499e+04 5.86530662e-06 1.59640045e+04\n 1.87516757e+04 2.01851666e+04 1.44471637e+05 2.40806362e+05\n 5.78938437e+03 1.55993003e+04 3.90361412e+04 1.25156552e+04\n 1.46567926e+04 6.94993273e+05 7.50000000e+05 5.00000000e+05\n 9.21440619e-05 2.18576004e+05 1.67031795e+05 3.58235146e+05\n 2.93046208e+03 7.12356820e+04 3.62143640e+04 2.91057978e+04\n 1.19402349e+04 2.30949127e+04 9.63973756e+03 1.53769146e+04\n 1.22412606e+04 7.12201676e+04 1.71342377e+05 2.81213304e+03\n 7.32842330e+03 2.01812642e+04 1.00781254e+04 8.37845765e+03\n 4.47719325e+05 6.44630921e+03 1.48403961e+05 6.83510380e+04\n 6.13843487e+04 2.57378795e+04 6.17572455e-06 1.80928375e+04\n 2.95551884e+04 2.55620969e+04 1.46020483e+05 2.97894992e+05\n 5.82677862e+03 1.64254511e+04 4.58332935e+04 1.65347251e+04\n 1.86628474e+04 8.43958154e+05 1.60582196e-04 2.71611051e+05\n 2.29214529e-04 3.75000000e+05 2.50000000e+05 5.00000000e+05\n 4.54600001e+03 8.54725000e+04 5.94645000e+04 3.33285000e+04\n 1.53625000e+04 3.14540001e+04 1.70200000e+04 2.05905000e+04\n 1.47410000e+04 7.37725000e+04 1.90631000e+05 2.96049928e+03\n 8.66549973e+03 3.09654998e+04 1.38770838e+04 1.13194995e+04\n 5.52363000e+05 2.84601417e+03 1.29329819e+05 1.07284677e+05\n 5.27552149e+04 1.83817278e+04 2.42818148e-05 1.50520047e+04\n 7.68879126e+03 1.31226480e+04 1.40847918e+05 2.23971315e+05\n 5.54744907e+03 1.39132287e+04 3.80778551e+04 3.65736233e-04\n 1.10782627e+04 7.03084739e+05 7.14957593e+05 4.62339641e-05\n 7.06611939e-04 3.75000000e+05 2.50000000e+05 4.99999999e+05\n 4.54599985e+03 8.54724996e+04 5.94644997e+04 3.33284999e+04\n 1.53624999e+04 3.14540000e+04 1.70199997e+04 2.05904997e+04\n 1.47409998e+04 7.37724998e+04 1.90631000e+05 2.96049982e+03\n 8.66549883e+03 3.09654991e+04 1.65794998e+04 1.13194983e+04\n 5.52362998e+05]"", ""s"": ""[9.32740083e-10 3.16701805e-09 9.72508162e-10 3.52819002e-08\n 6.08606929e-09 4.19789331e-09 1.13816664e-08 1.32933419e-08\n 4.41170773e-09 1.13815701e-08 1.00725701e-08 1.38639890e-08\n 1.61845989e-08 2.10892336e-09 2.67823851e-07 4.13621492e-08\n 7.43651950e-09 1.16123501e-08 1.87517857e-08 7.49170564e-10\n 4.22978130e+00 3.00000007e+00 6.90552072e-01 1.50034436e-09\n 3.83886508e-09 1.00995317e-09 1.82592556e-07 1.08825966e-08\n 1.03777057e-08 3.32190442e-08 5.28923906e-08 1.93381052e-08\n 3.32940653e-08 3.74321313e-08 6.59700501e-08 3.80177379e-08\n 7.72177428e-09 4.47186417e-07 8.75557585e-08 2.09253417e-08\n 3.48279474e-08 6.08462350e-08 1.69087368e-09 3.44754125e-10\n 3.31728919e-09 3.62626123e-10 4.09428991e-08 6.98746589e-09\n 4.09060749e-09 2.18030429e-08 1.97588596e-08 4.42111461e-09\n 1.16298132e-08 1.17232947e-08 1.99308642e-08 3.66457617e-08\n 2.39592966e-09 5.99184967e-07 7.19197995e-08 8.69945375e-09\n 1.18811927e-08 2.38156090e-08 7.76970815e-10 4.17995485e-10\n 4.84703577e-08 3.34685090e-10 7.77596011e-09 2.04773465e-09\n 1.84666895e-09 1.48794023e-07 1.08179157e-08 1.83452950e-08\n 3.47025998e-08 4.71187954e-08 8.36365474e-08 3.99803463e-08\n 2.91334253e-08 4.88919397e-08 3.71048926e-08 8.14896276e-09\n 4.03182621e-07 7.78899172e-08 2.18711297e-08 2.79999874e-08\n 5.20136113e-08 1.79917249e-09 1.39956677e-09 6.80911156e-10\n 3.35540371e-10 4.91749896e-08 7.79976833e-09 6.85603090e-09\n 2.85728612e-08 2.48134206e-08 4.43353159e-09 1.38227506e-08\n 1.11489283e-08 2.35342909e-08 5.61940327e-08 2.23502547e-09\n 8.88206244e-07 9.29888129e-08 1.09462625e-08 1.06251543e-08\n 2.63806193e-08 8.46562867e-10 4.22978129e+00 6.10648790e-10\n 3.41474591e-10 1.80388329e-09 2.33437262e-08 2.17476207e-09\n 1.35421685e-07 1.31106037e-08 9.55251827e-09 4.50958853e-08\n 5.23560704e-08 5.34153632e-08 3.43362976e-08 4.11741262e-08\n 5.97192904e-08 4.24704316e-08 1.14437564e-08 4.35902257e-07\n 8.24286471e-08 1.96260247e-08 5.05968902e-08 5.36234155e-08\n 2.07903815e-09 3.50075932e-10 1.45117222e-08 3.65426867e-10\n 5.78703661e-08 1.01964486e-08 5.34903800e-09 4.41630425e-08\n 3.62616777e-08 4.42899863e-09 1.41424323e-08 1.67586375e-08\n 3.55585764e-08 7.81294453e-08 3.62727465e-09 1.21336211e-06\n 1.21117203e-07 1.15229433e-08 1.39330526e-08 3.03024111e-08\n 1.03761899e-09 4.25911177e-10 2.07132950e-08 3.35776391e-10\n 5.16035706e-08 2.20859230e-08 1.14541272e-08 1.52718144e-07\n 2.71351749e-08 4.47074363e-08 8.94557594e-08 7.87155552e-08\n 8.25513896e-07 5.56057424e-08 3.94452233e-08 5.95103997e-08\n 5.50438834e-08 4.90511590e-08 4.88072145e-07 8.98845413e-08\n 2.66638979e-08 3.60779301e-08 5.47565793e-08 4.43008732e-09\n 1.19430345e-09 3.19172100e-09 2.99328889e-10 5.84946833e-08\n 6.14328852e-09 5.68497860e-09 2.35925735e-08 2.12208082e-08\n 4.45512047e-09 1.52524443e-08 1.23374931e-08 2.93785889e-08\n 8.34092745e-08 2.05436565e-09 1.58419016e-06 1.53182450e-07\n 1.20736135e-08 1.32766439e-08 3.36880536e-08 7.35519923e-10\n 4.22978123e+00 3.00000002e+00 3.39835701e-10 1.83782366e-09\n 3.32513129e-09 2.06801773e-09 1.66891768e-07 1.89503239e-08\n 1.16145719e-08 6.21281158e-08 7.80641717e-08 3.19273893e-08\n 3.61255342e-08 5.02146283e-08 1.04386617e-07 1.10639613e-07\n 1.41711548e-08 1.84877333e-07 1.83912851e-07 2.44936279e-08\n 4.13003558e-08 8.84769393e-08 2.77641874e-09 3.57131711e-10\n 1.57001510e-09 3.79641346e-10 1.01316984e-07 1.20717021e-08\n 5.58593077e-09 5.04803731e-08 5.20286275e-08 4.46288166e-09\n 1.68870503e-08 2.26197111e-08 6.72205796e-08 1.52730507e-07\n 3.40763910e-09 1.66691595e-06 2.87818828e-07 1.67855707e-08\n 1.60851763e-08 6.54708947e-08 1.09500971e-09 4.25483189e-10\n 1.25104261e-09 3.40031872e-10 4.22978131e+00 3.20787768e+00\n 1.35894319e+00 4.93680949e+00 2.65070989e+00 3.35848719e+00\n 1.00439466e+01 7.05424770e+00 6.93938355e+01 2.71238150e+00\n 2.65445509e+00 3.92027580e+00 4.13538318e+00 4.49389222e+00\n 9.96954689e-01 8.50948513e-01 1.14676962e+00 9.23194672e-08\n 5.25440454e-01 8.91201732e-01 4.77848913e-09 5.21770306e-10\n 3.06368221e-10 4.24521774e-08 6.68625318e-09 2.28163267e-08\n 1.92152005e-08 2.17580465e-08 4.42546940e-09 1.42383209e-08\n 8.38747546e-09 1.68646865e-08 3.83250566e-08 1.81834819e-09\n 4.46876564e-07 7.12459891e-08 1.13393815e-08 8.34929136e-09\n 2.27146972e-08 7.84996835e-10 1.02047276e-08 6.02827680e-10\n 3.32527707e-10 9.99999913e-01 7.92122327e-01 3.31608847e-01\n 1.21035131e+00 6.32823508e-01 7.99329754e-01 2.37174416e+00\n 1.67691406e+00 1.62800537e+01 6.51232168e-01 6.57647231e-01\n 9.61998799e-01 9.86804778e-01 1.07056866e+00 2.42671854e-01\n 2.05479136e-01 2.77779389e-01 1.07627412e+00 1.31702400e-01\n 2.21585248e-01 1.81541525e-07 2.27844139e-09 5.30013518e-09\n 6.51789598e-09 2.67109722e-08 6.15328372e+01 2.71663182e-08\n 1.96102357e-08 2.77544783e-08 2.18815627e-09 1.20250539e-09\n 5.44635602e-08 2.51200095e-08 1.10649398e-08 2.83490543e-08\n 3.33052923e-08 4.82368627e-10 4.30401704e-10 6.14665542e-10\n 3.43858324e-10 1.60099652e-09 1.63876670e-09 1.43563715e-09\n 8.60553995e-08 4.65067229e-09 8.38086832e-09 1.09171648e-08\n 2.63798885e-08 1.57587796e-08 3.04396503e-08 2.03689130e-08\n 2.54077667e-08 4.20875924e-09 1.85852019e-09 1.12153908e-07\n 4.78507115e-08 1.52302313e-08 3.06897509e-08 3.90112483e-08\n 8.05631438e-10 1.05758392e-07 2.17149471e-09 5.46786615e-09\n 5.13865400e-09 1.61342765e-08 6.15328373e+01 2.59447276e-08\n 1.53836216e-08 1.72726577e-08 2.04027707e-09 1.12536697e-09\n 4.90453551e-08 2.00150821e-08 9.10059199e-09 2.68731724e-08\n 2.41843992e-08 4.75989073e-10 1.77021870e+00 6.55384650e-10\n 1.30944791e+00 8.71255592e-10 2.57297774e-09 8.72400576e-10\n 9.62186923e-08 4.65840300e-09 6.22785552e-09 1.07751667e-08\n 2.80880940e-08 9.74094949e-09 2.64226636e-08 2.40720282e-08\n 2.93283429e-08 4.22981173e-09 1.82965172e-09 1.15783785e-07\n 5.12883906e-08 1.47655947e-08 3.91088012e-08 4.37485839e-08\n 7.75278441e-10 7.36480813e-08 2.10482155e-09 3.56081754e-09\n 4.87522664e-09 1.38605971e-08 6.15328372e+01 1.91351535e-08\n 1.64913079e-08 1.52640207e-08 2.00401828e-09 1.16341380e-09\n 4.78166422e-08 1.88472359e-08 7.49823933e-09 3.68549715e-08\n 2.20185340e-08 4.57285701e-10 4.23331425e-10 2.99999993e+00\n 3.30944792e+00 1.36051282e-09 1.22066079e-09 8.19418433e-10\n 1.02718266e-07 4.34507352e-09 8.99165103e-09 1.00899328e-08\n 2.65661193e-08 1.04412158e-08 2.96152310e-08 1.94347642e-08\n 2.65256529e-08 4.18314683e-09 1.72761373e-09 1.15267827e-07\n 4.94587440e-08 1.59998577e-08 2.41012095e-08 4.26777228e-08\n 7.37291424e-10 6.01871779e-08 1.98504174e-09 4.15612336e-09\n 4.61044305e-09 1.18599441e-08 6.15328372e+01 1.85799968e-08\n 1.10956268e-08 1.25973088e-08 1.98521608e-09 9.81883222e-10\n 4.72055335e-08 1.80239732e-08 7.26280801e-09 2.01966503e-08\n 1.99001963e-08 4.22303001e-10 1.77021871e+00 7.11446193e-10\n 5.30944792e+00 8.04027647e-10 1.21576507e-09 6.39599315e-10\n 9.46402202e-08 3.74951696e-09 5.24082446e-09 9.14528097e-09\n 2.29515675e-08 8.87651082e-09 2.24180228e-08 1.99759712e-08\n 2.66801597e-08 4.10375698e-09 1.56217385e-09 1.16513636e-07\n 4.69971254e-08 1.32460590e-08 2.96830771e-08 4.19685483e-08\n 6.34211282e-10 5.94855169e-08 2.25297587e-09 3.97886966e-09\n 5.01118297e-09 1.50894545e-08 6.15328366e+01 1.69065075e-08\n 1.44015504e-08 1.35205561e-08 1.97342574e-09 1.21012342e-09\n 4.68741740e-08 1.74897598e-08 7.04216481e-09 2.17279790e-08\n 1.86641203e-08 4.79852407e-10 4.20570867e-10 6.08768784e-10\n 3.30944793e+00 1.35330636e-09 1.71595795e-09 8.31822996e-10\n 8.99606381e-08 3.90858917e-09 7.72358285e-09 9.49142922e-09\n 2.28471994e-08 1.20000437e-08 2.84654567e-08 1.80314268e-08\n 2.26743737e-08 3.95152755e-09 1.68595988e-09 1.12743613e-07\n 3.73694690e-08 1.38833783e-08 2.69250924e-08 3.25734275e-08\n 6.81387589e-10 4.22146447e-08 1.90586146e-09 4.04268672e-09\n 4.54025001e-09 1.07335053e-08 6.15328366e+01 1.54221679e-08\n 9.55160624e-09 1.09245716e-08 1.95256905e-09 9.97139518e-10\n 4.66158066e-08 1.66383068e-08 6.12009236e-09 1.69255834e-08\n 1.48348727e-08 3.97020695e-10 1.77021876e+00 1.68562240e-09\n 1.30944793e+00 7.93798181e-10 1.17645708e-09 6.06078266e-10\n 5.82559109e-08 3.25323939e-09 4.70123886e-09 8.29451286e-09\n 1.79481346e-08 8.75089618e-09 1.64148574e-08 1.40553068e-08\n 1.93677083e-08 3.83368166e-09 1.51258572e-09 1.16004719e-07\n 3.14872895e-08 9.26653733e-09 1.89566549e-08 2.44465350e-08\n 5.47204694e-10 1.02144138e-07 2.18986580e-09 2.72436063e-09\n 5.33399999e-09 1.49920183e-08 1.16761447e+01 1.84300212e-08\n 3.58408886e-08 2.08224121e-08 2.02418080e-09 1.31143846e-09\n 5.19423404e-08 2.05070180e-08 7.35163591e-09 7.62418202e-01\n 2.66539178e-08 4.61385421e-10 4.60296237e-10 6.20787767e+00\n 6.68391109e-01 8.05592668e-10 1.17472072e-09 6.24410078e-10\n 5.97254560e-08 3.35977594e-09 4.80596758e-09 8.36150218e-09\n 1.80418279e-08 8.71823124e-09 1.65470925e-08 1.35940987e-08\n 1.90119720e-08 4.01815099e-09 1.51261033e-09 1.76433831e-07\n 3.48861157e-08 9.41798988e-09 1.66143109e-08 2.58527888e-08\n 5.68079814e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": 47787811.812321424, ""dcost"": 47787811.81483628, ""pres"": 2.6621062105340104e-10, ""dres"": 8.556416392524518e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.9719155121657885, ""dinfres"": NaN, ""gap"": 0.21206172767269416, ""relgap"": 4.437569321951191e-09, ""r0"": 1e-08, ""iter"": 12, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.003713374, ""tsetup"": 0.000377666, ""tsolve"": 0.003335708}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" 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""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2830,cvxpy_osqp,unknown,NETLIB,grow7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:49,0.2163834571838379,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2833,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,grow7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:51,0.028727054595947266,OPTIMAL,-47787811.81471151,-47787811.81471151,0.0,0.7143098184044587,3.017415097508369e-16,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -47787811.81471151, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2828,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,grow7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:47,0.003721952438354492,UNBOUNDED,,,,,,0,"{""solver_solve_time"": 6.4583e-05, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 6.4583e-05, ""setup_time"": 0.0007210830000000001, ""num_iters"": 0, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 1.42660153e-08 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""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:50,0.10722827911376953,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3383,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,grow7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:44:01,0.37581416666666667,OPTIMAL,-47787811.81433405,-47787811.812471695,0.001862354576587677,2.4483747630001116e-14,2.05959278168974e-12,17,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.37581416666666667, 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""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:55,0.10925483703613281,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2842,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,israel,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:57,0.016661882400512695,OPTIMAL,-896644.8218630457,-896644.8218630459,2.3283064365386963e-10,0.8924437952491212,1.4110543479267131e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -896644.8218630459, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2837,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,israel,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:03:54,0.17086172103881836,OPTIMAL,-896673.4290127896,-896669.7838062881,-3.645206501474604,1.1158492563689272e-06,7.470279684678691e-10,14000,"{""solver_solve_time"": 0.167754291, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -896669.7838062881, ""solver_stats"": {""solve_time"": 0.167754291, 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9.99999977e-04 9.99999989e-04 9.99999926e-04\n 1.00000000e-03 1.00000012e-03 7.72975257e-13 2.16933622e-13\n 3.95575280e-14 3.47804486e-14 1.45763821e-14 9.70933269e-15\n 8.00080577e-13 2.28057225e-13 6.98426518e-14 5.52049423e-14\n 2.31483707e-14 1.30863899e-14 1.59553269e-11 1.59566280e-11\n 1.59566158e-11 1.59565623e-11 6.88059690e-12 6.88137690e-12\n 6.88185900e-12 6.88196175e-12 8.60240866e-12 8.60518667e-12\n 8.60489103e-12 8.60465833e-12 5.73455595e-12 5.73334409e-12\n 5.73333990e-12 5.73335654e-12]"", ""info"": {""exitFlag"": 0, ""pcost"": 25.264706054475255, ""dcost"": 25.264706054449622, ""pres"": 2.3098486054879797e-11, ""dres"": 3.1574990999329684e-15, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.20681807842810668, ""dinfres"": NaN, ""gap"": 1.3754521826686912e-08, ""relgap"": 5.444164597460046e-10, ""r0"": 1e-08, ""iter"": 22, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.0027234579999999998, ""tsetup"": 0.00024825, ""tsolve"": 0.002475208}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2852,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,lotfi,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:05,0.0039370059967041016,OPTIMAL,-25.264706061879995,-25.26470606188001,1.4210854715202004e-14,4.5804201778251937e-14,1.811832619511933e-17,109,"{""solver_solve_time"": 0.001096375286579132, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -25.26470606188001, ""solver_stats"": {""solve_time"": 0.001096375286579132, ""num_iters"": 109, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2848,cvxpy_osqp,unknown,NETLIB,lotfi,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:02,0.06500816345214844,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2851,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,lotfi,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:05,0.010101079940795898,OPTIMAL,0.0,-25.264706061880005,25.264706061880005,0.1617014656397609,8.216406677349918e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -25.264706061880005, ""solver_stats"": {""solver_name"": 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{""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:31,0.037232160568237305,OPTIMAL,-71394.3147011259,-71394.3147011259,0.0,1.2186909013248033e-13,1.6446944299390705e-18,856,"{""solver_solve_time"": 0.024260083213448524, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -71394.3147011259, ""solver_stats"": {""solve_time"": 0.024260083213448524, ""num_iters"": 856, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2857,cvxpy_osqp,unknown,NETLIB,maros,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:23,1.1149921417236328,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2860,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,maros,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:04:30,0.08244919776916504,OPTIMAL,-60882.162877856885,-71394.31470112588,10512.151823269,39.47914145791522,4.0288479649178233e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -71394.31470112588, ""solver_stats"": 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3.81712230e+00 6.82978694e+00 1.76109425e+00\n 1.79256607e+00 -1.10882581e+00 -4.00059923e-01 1.89326706e+00\n 3.63830760e-01 -1.61717036e-01 4.71135742e-01 6.35672189e-02\n 1.53337958e+00 6.10511762e-02 5.14504079e-02 1.96944415e-01\n -2.22657565e-01 -1.21994739e+00 -9.04752298e-02 3.77278499e-01\n 2.17818346e-01 3.59724422e-02 -2.53132386e-01 -1.14284563e+00\n -4.02803002e-03 -5.39669162e+00 1.60523071e+01 -6.45536827e+00\n -1.01198099e+01 -5.58548831e+00 2.15722030e-01 1.78441421e+00\n 6.16802745e-01 1.97300991e+00 1.62662330e+00 3.61413294e-01\n 2.31715782e+00 2.41408257e+00 3.61086737e-01 1.39130159e+00\n 1.30492181e+00 -1.53768936e+00 -8.34477481e-01 1.44773062e+00\n 2.98202776e-01 -1.33714870e-01 1.38863063e-01 1.99216345e-01\n 1.06282834e+00 9.85504494e-01 1.22012999e+00 -2.32622558e+01\n -6.09418493e+00 1.03056377e+00 -2.05153287e-01 1.48482846e+00\n 1.24961324e-01 -1.38576918e+01 -3.70263362e+00 -3.36953698e+00\n 1.32779261e+00 1.09897707e+00 2.34321511e+00 2.33103989e-01\n 1.71208077e+00 1.35959767e+00 1.83352787e-01 2.13868063e+00\n -6.65029258e-02 3.25999364e+00 4.84985857e-01 4.90409495e-02\n -2.74995322e+00 -1.91505360e+00 5.22726583e-01 5.38981967e-02\n -8.93354496e-01 -3.33360214e-02 1.40945144e-02 2.18298227e+00\n -1.54965087e-01 2.00117823e+00 2.94207358e+00 -3.83663715e+00\n 1.88251897e+00 -2.14914799e+01 -5.02330907e+00 3.89236140e+00\n 2.30273029e+00 -6.48741593e+00 9.91418913e-01 6.99310441e+00\n -1.16639853e+01 -1.07241545e+01 -5.12951620e+00 1.58274552e+01\n 2.07598096e+01 -2.42420715e+01 -6.94464259e+00 -3.46455608e+01\n -3.72337817e+00 9.20310837e-01 1.66376750e+00 1.19855319e+00\n 1.15197937e+00 1.95703581e+00 2.15523378e+00 1.15935970e+00\n 2.48386439e+00 2.68619300e+00 -1.49874774e-01 4.93241947e-01\n 1.82975337e+00 1.41297179e+00 3.28573763e-01 3.40449453e-02\n 1.15003888e+00 1.63934380e+00 1.24093506e+00 1.30722108e+00\n 1.95592962e+00 2.32162058e+00 1.53315435e+00 3.18613132e+00\n 2.78651271e+00 -1.56987669e-01 4.73127802e-01 1.88721751e+00\n 1.46105580e+00 4.27932982e-01 -1.64769907e-01 1.69074791e+00\n 1.26080897e+00 9.98226536e-01 2.03833152e+00 2.35466015e+00\n -9.62254163e-02 5.18126944e-01 1.88172208e+00 4.12313112e-01\n -2.39685691e-02 1.65429954e+00 2.38241870e+00 1.56278908e+00\n -1.49232600e-01 3.99684002e-01 1.89366104e+00 3.27259212e-01\n -6.07107599e-02 1.12342170e+00 1.36098167e+00 1.65594037e+00\n 9.57049283e-01 2.34190187e+00 1.03770626e+00 2.66864824e+00\n -1.52937502e-01 4.26544546e-01 1.87959063e+00 1.43521807e+00\n 3.54216011e-01 -1.70632303e-01 1.08209387e+00 1.38346600e+00\n 1.68741194e+00 1.29214744e+00 1.89335780e+00 2.39884416e+00\n 1.17031476e+00 3.20865363e+00 2.78594613e+00 -1.22191376e-01\n 4.88091911e-01 1.92081157e+00 4.48937239e-01 -4.40783143e-02\n 1.06757674e+00 1.69435993e+00 1.19550548e+00 2.00160405e+00\n 1.37222893e+00 3.26688405e+00 2.80179756e+00 -1.21947003e-01\n 5.08055913e-01 1.92248658e+00 1.50722277e+00 4.71997511e-01\n 4.10030091e-03 2.60697651e+00 1.89490132e+00]"", ""y"": ""[4.7676937e+13 4.6475534e+13]"", ""z"": ""[1.64310335e+10 1.68934191e+12 2.16074890e+10 ... 1.07608649e+10\n 5.29756340e+12 1.53072140e+10]"", ""s"": ""[2.10174508e+00 3.29212129e-03 1.61139061e+00 ... 2.59640187e+00\n 1.06631288e-03 1.87036266e+00]"", ""info"": {""exitFlag"": 1, ""pcost"": 1331864.874748808, ""dcost"": 34548195755.96919, ""pres"": 0.07585213774435107, ""dres"": 0.00014864453779556155, ""pinf"": 1.0, ""dinf"": 0.0, ""pinfres"": 3.270343060944906e-09, ""dinfres"": NaN, ""gap"": 66.5121597924032, ""relgap"": 1.925199227832652e-09, ""r0"": 1e-08, ""iter"": 11, ""mi_iter"": -1, ""infostring"": ""Primal infeasible"", ""timing"": {""runtime"": 0.0074287910000000006, ""tsetup"": 0.000722875, ""tsolve"": 0.006705916}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2879,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:58,0.00896000862121582,INFEASIBLE,,,,,,,"{""solver_solve_time"": 0.00016812607645988464, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solve_time"": 0.00016812607645988464, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2875,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:55,0.009865045547485352,INFEASIBLE,,,,,,,"{""solver_solve_time"": 0.002215207, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solve_time"": 0.002215207, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 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2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1620,)), prim_inf_cert=array([1.00000000e+00, 9.99984193e-01, 0.00000000e+00, ...,\n 0.00000000e+00, 8.22796897e-05, 0.00000000e+00], shape=(1620,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='primal infeasible', status_val=3, status_polish=0, obj_val=1e+30, prim_res=1.210850358244173, dual_res=4991.81360927664, iter=50, rho_updates=0, rho_estimate=0.3871245611122735, setup_time=0.000773416, solve_time=0.001441791, update_time=0.0, polish_time=0.0, run_time=0.002215207))""}}, ""problem_class"": ""LP""}" +2878,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:58,0.028506755828857422,INFEASIBLE,,,,,,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2873,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:54,0.05204010009765625,INFEASIBLE,,,,,,775,"{""solver_solve_time"": 0.043131208000000004, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solve_time"": 0.043131208000000004, ""setup_time"": 0.001240125, ""num_iters"": 775, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan]"", ""y"": ""[2.01876326 2.01658182 0.03180542 ... 0.00226991 0.00967138 0.00223625]"", ""s"": ""[nan nan nan ... nan nan nan]"", ""info"": {""status_val"": -2, ""iter"": 775, ""scale_updates"": 3, ""scale"": 31.346578859628014, ""pobj"": Infinity, ""dobj"": Infinity, ""res_pri"": NaN, ""res_dual"": NaN, ""gap"": NaN, ""res_infeas"": 2.1744425130052284e-12, ""res_unbdd_a"": 6.16051444028642e-05, ""res_unbdd_p"": 0.0, ""comp_slack"": 0.0, ""solve_time"": 43.131208, ""setup_time"": 1.240125, ""lin_sys_time"": 34.10948600000008, ""cone_time"": 3.765165000000019, ""accel_time"": 0.6887649999999986, ""rejected_accel_steps"": 4, ""accepted_accel_steps"": 0, ""status"": ""infeasible""}}}}, ""problem_class"": ""LP""}" +2877,cvxpy_sdpa,unknown,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:57,0.09954714775085449,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3393,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:45:01,5.6893831666666665,MAX_ITER,2.3017803432371542e-17,0.0,2.3017803432371542e-17,0.9999966872836018,0.0,100,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""max_iter"", ""solve_time"": 5.6893831666666665, ""setup_time"": [], 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""dinfeas"": 116.33789740967276, ""cputime"": 5.538969000000016, ""time"": {""preproc"": 0.031165999999998917, ""pred"": 2.91461299999996, ""pred_pstep"": 0.014094000000021367, ""pred_dstep"": 0.01395599999998609, ""corr"": 2.443545000000036, ""corr_pstep"": 0.012417000000013445, ""corr_dstep"": 0.006117999999958101, ""pchol"": 0.026551999999981035, ""dchol"": 0.008282999999991603, ""misc"": 0.07322700000003834}, ""resid"": [], ""reldist"": [], ""normX"": 6.116780694074691e-19, ""normy"": 0, ""normZ"": 431077.9916380701, ""normA"": 427963.29125176085, ""normb"": 301866.07215285057, ""normC"": 10715.83573223752, ""msg1"": ""Stop: maximum number of iterations reached"", ""msg2"": [], ""model"": 2}}, ""problem_class"": ""LP""}" +3392,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:44:51,0.3483359166666667,OPTIMAL,340.1154569218213,340.1371010565417,0.02164413472041815,1.3043824176315826e-09,3.0050691788615746e-13,24,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.3483359166666667, ""setup_time"": [], ""iterations"": 24, ""primal_objective_value"": 340.1154569218213, ""dual_objective_value"": 340.1371010565417, ""duality_gap"": 0.02164413472041815, ""primal_infeasibility"": 1.3043824176315826e-09, ""dual_infeasibility"": 3.0050691788615746e-13, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:44:49"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 24, ""feasratio"": 0.9999968805093044, ""full_info"": {""iter"": 24, ""feasratio"": 0.9999968805093044, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 2.840914027737027e-09, ""timing"": [0.0667467713356018, 0.2573210746049881, 0.0029068440198898315], ""wallsec"": 0.32697468996047974, ""cpusec"": 1.1099999999999999}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 24, ""feasratio"": 0.9999968805093044, ""full_info"": {""iter"": 24, ""feasratio"": 0.9999968805093044, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 2.840914027737027e-09, ""timing"": [0.0667467713356018, 0.2573210746049881, 0.0029068440198898315], ""wallsec"": 0.32697468996047974, ""cpusec"": 1.1099999999999999}}, ""problem_class"": ""LP""}" +2871,scipy_linprog,scipy-1.15.3,NETLIB,modszk1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:52,0.023966073989868164,UNBOUNDED,,,,,,683,"{""solver_solve_time"": 0.023966073989868164, ""original_status"": {""scipy_status"": 3, ""scipy_success"": false, ""scipy_message"": ""The problem is unbounded. (HiGHS Status 10: model_status is Unbounded; primal_status is Feasible)"", ""scipy_fun"": null, ""scipy_nit"": 683, ""scipy_crossover_nit"": 0}, ""problem_class"": ""LP""}" +2881,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,nesm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:01,0.14763188362121582,OPTIMAL,14076035.30452611,14076035.180108657,0.12441745214164257,9.092741649716947e-09,3.456713573672555e-13,50,"{""solver_solve_time"": 0.100745416, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 14076035.180108657, ""solver_stats"": {""solve_time"": 0.100745416, ""num_iters"": 50, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2885,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,nesm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:07,1.3234801292419434,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2883,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,nesm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:03,0.1647508144378662,OPTIMAL,14076036.020208325,14076036.019838203,0.000370122492313385,7.925810107460586e-11,5.464768628380978e-13,57,"{""solver_solve_time"": 0.108033291, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 14076036.019838203, ""solver_stats"": {""solve_time"": 0.108033291, ""setup_time"": 0.002393458, ""num_iters"": 57, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-0.00609303 -0.00632539 -0.00644173 ... -0.02644342 -0.2995366\n -0.30281633]"", ""y"": ""[]"", ""z"": ""[1.30434626e+03 1.53287053e+03 1.53283436e+03 ... 6.50702421e-05\n 5.76974719e-06 5.71175380e-06]"", ""s"": ""[1.32548059e-09 1.13234014e-09 1.13470052e-09 ... 2.64434200e-02\n 2.99536605e-01 3.02816335e-01]"", ""info"": {""exitFlag"": 0, ""pcost"": -14076036.01983827, ""dcost"": -14076036.020208335, ""pres"": 3.8761812378011145e-11, ""dres"": 1.8225888724293167e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.02561166033667431, ""gap"": 0.08003046200968678, ""relgap"": 5.685582354072884e-09, ""r0"": 1e-08, ""iter"": 57, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.110426749, ""tsetup"": 0.002393458, ""tsolve"": 0.108033291}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2888,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,nesm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:11,0.15548110008239746,OPTIMAL,14076035.90580809,14076035.905808099,-9.313225746154785e-09,6.640911753703101e-17,1.4198960146600434e-19,1851,"{""solver_solve_time"": 0.09647962637245655, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 14076035.905808099, ""solver_stats"": {""solve_time"": 0.09647962637245655, ""num_iters"": 1851, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2884,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,nesm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:05,0.4835028648376465,OPTIMAL,14076178.49563174,14076210.71984324,-32.22421150095761,1.6569154224907387e-06,2.287090324851406e-08,3850,"{""solver_solve_time"": 0.435954915, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 14076210.71984324, ""solver_stats"": {""solve_time"": 0.435954915, ""num_iters"": 3850, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([-0.05280679, -0.0522842 , -0.04839535, ..., -0.22524993,\n -0.21068916, -0.21839623], shape=(2345,)), y=array([1.33961819e+03, 1.49945639e+03, 1.50018685e+03, ...,\n 6.59852294e-20, 0.00000000e+00, 6.12664966e-19], shape=(4788,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(4788,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2345,)), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-14076210.719843054, prim_res=0.35149844101100924, dual_res=0.06619977999999999, iter=3850, rho_updates=4, rho_estimate=2.253769782723316e-05, setup_time=0.003341833, solve_time=0.430409416, update_time=0.0, polish_time=0.002203666, run_time=0.435954915))""}}, ""problem_class"": ""LP""}" +2887,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,nesm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:10,0.28289079666137695,OPTIMAL,14076035.905808091,14076035.905808095,-3.725290298461914e-09,0.15449380465881604,2.822080628034742e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 14076035.905808095, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" 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""SCS"", ""extra_stats"": {""x"": ""[-0.03561903 -0.03554311 -0.03433977 ... -0.26200837 -0.19352917\n -0.19645306]"", ""y"": ""[1371.75728823 1455.96270451 1418.29736315 ... 0. 0.\n 0. ]"", ""s"": ""[0. 0. 0. ... 0.26200837 0.19352917 0.19645306]"", ""info"": {""status_val"": 1, ""iter"": 3925, ""scale_updates"": 0, ""scale"": 0.1, ""pobj"": -14077149.759792386, ""dobj"": -14077140.892389476, ""res_pri"": 0.43194304856011284, ""res_dual"": 0.04223955199282103, ""gap"": 8.867402909874446, ""res_infeas"": NaN, ""res_unbdd_a"": 7.104038749224417e-05, ""res_unbdd_p"": 0.0, ""comp_slack"": 7.261924944821131e-09, ""solve_time"": 731.934708, ""setup_time"": 5.511541, ""lin_sys_time"": 591.4742720000003, ""cone_time"": 55.56197499999991, ""accel_time"": 11.45934999999999, ""rejected_accel_steps"": 35, ""accepted_accel_steps"": 0, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2886,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,nesm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:09,0.44199705123901367,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3395,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,nesm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:45:11,0.547705375,STALLED,14076049.78796314,14076019.77190377,30.016059370711446,6.945358879508155e-13,0.0,35,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""stalled"", ""solve_time"": 0.547705375, ""setup_time"": [], ""iterations"": 35, ""primal_objective_value"": 14076049.78796314, ""dual_objective_value"": 14076019.77190377, ""duality_gap"": 30.016059370711446, ""primal_infeasibility"": 6.945358879508155e-13, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Poor progress in relative gap or infeasibility"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:45:09"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -5, ""iter"": 35, ""full_info"": {""dimacs"": [6.0605889791139225e-12, 0, 1.0770187901051045e-06, 0, 1.0662114287688342e-06, 1.0957128539914208e-06], ""termcode"": -5, ""iter"": 35, ""obj"": [14076049.787963144, 14076019.77190377], ""gap"": 30.846585578919633, ""relgap"": 1.0957128539914208e-06, ""pinfeas"": 6.945358879508155e-13, ""dinfeas"": 1.7007727094239766e-07, ""cputime"": 0.4071470000000055, ""time"": {""preproc"": 0.051425999999999306, ""pred"": 0.2133540000000007, ""pred_pstep"": 0.008517000000006547, ""pred_dstep"": 0.010266999999993587, ""corr"": 0.04266699999999979, ""corr_pstep"": 0.006214999999993864, ""corr_dstep"": 0.009009000000004264, ""pchol"": 0.013145000000006846, ""dchol"": 0.0055899999999979855, ""misc"": 0.0487439999999939}, ""resid"": [], ""reldist"": [], ""normX"": 66535.87219521204, ""normy"": 10203954746093.518, ""normZ"": 14430571182750.441, ""normb"": 88022.07297774412, ""maxb"": 10087.219051737617, ""normC"": 6338.858819414751, ""maxC"": 1001, ""normA"": 732.0014732349132, ""msg1"": [], ""msg2"": ""stop: dual infeas has deteriorated too much"", ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -5, ""iter"": 35, ""full_info"": {""dimacs"": [6.0605889791139225e-12, 0, 1.0770187901051045e-06, 0, 1.0662114287688342e-06, 1.0957128539914208e-06], ""termcode"": -5, ""iter"": 35, ""obj"": [14076049.787963144, 14076019.77190377], ""gap"": 30.846585578919633, ""relgap"": 1.0957128539914208e-06, ""pinfeas"": 6.945358879508155e-13, ""dinfeas"": 1.7007727094239766e-07, ""cputime"": 0.4071470000000055, ""time"": {""preproc"": 0.051425999999999306, ""pred"": 0.2133540000000007, ""pred_pstep"": 0.008517000000006547, ""pred_dstep"": 0.010266999999993587, ""corr"": 0.04266699999999979, ""corr_pstep"": 0.006214999999993864, ""corr_dstep"": 0.009009000000004264, ""pchol"": 0.013145000000006846, ""dchol"": 0.0055899999999979855, ""misc"": 0.0487439999999939}, ""resid"": [], ""reldist"": [], ""normX"": 66535.87219521204, ""normy"": 10203954746093.518, ""normZ"": 14430571182750.441, ""normb"": 88022.07297774412, ""maxb"": 10087.219051737617, ""normC"": 6338.858819414751, ""maxC"": 1001, ""normA"": 732.0014732349132, ""msg1"": [], ""msg2"": ""stop: dual infeas has deteriorated too much"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3394,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,nesm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:45:06,0.9560559166666667,OPTIMAL,14076035.470523406,14076035.470728358,0.0002049524337053299,3.2344108740645225e-09,1.2195347356123767e-14,59,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.9560559166666667, ""setup_time"": [], ""iterations"": 59, ""primal_objective_value"": 14076035.470523406, ""dual_objective_value"": 14076035.470728358, ""duality_gap"": 0.0002049524337053299, ""primal_infeasibility"": 3.2344108740645225e-09, ""dual_infeasibility"": 1.2195347356123767e-14, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:45:04"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 59, ""feasratio"": 0.9999571884586379, ""full_info"": {""iter"": 59, ""feasratio"": 0.9999571884586379, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1e-08, ""timing"": [0.06368905305862427, 0.8709266781806946, 0.0040434300899505615], ""wallsec"": 0.9386591613292694, ""cpusec"": 3.4300000000000006}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 59, ""feasratio"": 0.9999571884586379, ""full_info"": {""iter"": 59, ""feasratio"": 0.9999571884586379, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1e-08, ""timing"": [0.06368905305862427, 0.8709266781806946, 0.0040434300899505615], ""wallsec"": 0.9386591613292694, ""cpusec"": 3.4300000000000006}}, ""problem_class"": ""LP""}" +2880,scipy_linprog,scipy-1.15.3,NETLIB,nesm,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:06:59,0.21827292442321777,OPTIMAL,14076035.905808117,,,0.0,,2954,"{""solver_solve_time"": 0.21827292442321777, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 14076035.905808117, ""scipy_nit"": 2954, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2494,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:41:53,0.07650303840637207,OPTIMAL,5501.845910519828,5501.845907895313,2.6245152184856124e-06,5.18269520403701e-10,1.1025798896300598e-12,23,"{""solver_solve_time"": 0.066640999, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 5501.845907895313, ""solver_stats"": {""solve_time"": 0.066640999, ""num_iters"": 23, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2498,cvxpy_cvxopt,unknown,NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:04,0.07880210876464844,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2496,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:01,0.07264089584350586,OPTIMAL,5501.8458891739,5501.845889076914,9.698578651295975e-08,1.876923927916115e-11,1.0242133768081916e-13,23,"{""solver_solve_time"": 0.061569125, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 5501.845889076914, ""solver_stats"": {""solve_time"": 0.061569125, ""setup_time"": 0.002057708, ""num_iters"": 23, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 2.82968930e+00 2.90025278e+00 2.76190109e+00\n 9.53242489e+00 8.81493087e+00 8.33448565e+00 7.33818443e+00\n 7.08199775e+00 6.21439480e+00 6.21439480e+00 6.17163159e+00\n 6.03174654e+00 5.80409877e+00 6.02728972e+00 4.05837399e+00\n 4.05837399e+00 2.92240911e+00 2.92240911e+00 2.23729524e+00\n 2.18525066e+00 2.10275891e+00 2.04454861e+00 -2.00000000e-01\n 1.00000000e-01 7.60000000e-02 1.01000000e-01 8.85000000e-02\n -1.88854899e-11 -2.57071697e-11 6.37400000e-01 -1.20726830e+00\n -1.49952212e+00 -1.39966862e+00 -1.11706485e+00 -1.06870000e+00\n -1.43888599e+00 4.61847612e-01 -6.57222971e-02 2.74409495e+00\n 3.45119458e+00 2.74409495e+00 2.29396869e+00 2.29396869e+00\n 8.53827787e-01 8.20711165e-01 8.15789291e-01 7.63221564e-01\n 7.63221564e-01 5.21884681e-01 5.07619797e-01 9.93022401e-01\n 8.62302090e-01 1.85719616e+00 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-1.95591928e-11 -2.28816300e-01 -9.13015572e-01\n -7.44105196e-01 -3.15562924e-01 1.65307231e-11 2.08023619e-11\n -2.95106415e+00 -2.36346485e+00 -3.39508162e+00 -3.23332034e+00\n -2.96194834e+00 -3.10780433e+00 -3.07811525e+00 -3.15142212e+00\n -2.67428948e+00]"", ""y"": ""[]"", ""z"": ""[5.31388663e+01 7.88976467e-07 7.92381449e-07 ... 2.69304611e-10\n 2.62688107e-10 3.10132529e-10]"", ""s"": ""[1.53323353e-11 1.00000001e-03 1.00000000e-03 ... 3.07811525e+00\n 3.15142212e+00 2.67428948e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": -5501.845889076909, ""dcost"": -5501.8458891739, ""pres"": 8.641722979755528e-13, ""dres"": 1.428244833083577e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.5679973734044028, ""gap"": 3.96508931625109e-05, ""relgap"": 7.206834571871926e-09, ""r0"": 1e-08, ""iter"": 23, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.06362683300000001, ""tsetup"": 0.002057708, ""tsolve"": 0.061569125}, 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2122, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2497,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:03,0.9446730613708496,OPTIMAL (INACCURATE),5502.393992402469,5502.135581378342,0.2584110241268718,2.7720806627361654e-05,6.353775132912784e-08,10000,"{""solver_solve_time"": 0.9259839160000001, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 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-3.12313531e-02,\n -7.21540631e-02, -2.10582208e-03, -1.90472242e-02, -1.05739558e-08,\n -1.89711945e-02, -3.32927334e-02, -8.63095177e-08, -1.62754102e-02,\n -5.49201150e-08, 2.43463910e-06, -1.75433501e-07, 1.34279904e-06,\n 7.97289392e-08, -1.46921805e-06, -6.58836600e-03, -1.53810388e-03,\n -2.02513114e-07, -7.67222886e-04, -2.08244118e-03, -1.47292326e-02,\n -3.39771550e-02, 7.76494828e-08, 5.68622313e-08, -4.08273310e-08,\n 4.18068321e-08, -8.36402364e-04, -5.28924530e-03, -4.33266233e-03,\n -2.32747606e-02, 1.68088930e-08, 3.74982230e-07, 3.50623579e-07,\n -2.32748569e-02, -8.35869938e-08, 1.98155425e-07, 1.71043493e-07,\n 1.02788925e-05, -7.24631485e-01, -2.83965194e-01, -5.51567769e-07,\n 7.98030278e-05, -7.37404790e-01, -2.56052312e-01, -4.46452369e-01,\n -5.06968262e-01, 1.47339923e-06, -2.55719216e-02, 3.78868341e-07,\n 4.03255585e-07, -2.48252320e-02, 2.70352714e-08, 4.81775596e-06,\n 6.41740875e-09, -3.56060666e-04, 2.60255738e-06, -9.52067251e-03,\n 2.32184424e-06, 1.35059978e-05, 1.62891421e-07, -7.52548116e-07,\n -2.11401452e-06, -9.15420193e-03, -2.70935705e-04, 2.93694131e-06,\n 1.52476686e-06, 1.96466984e-06, -9.07600203e-02, -6.75298469e-08,\n -1.93297388e-03, -1.09370823e-01, -7.29124511e-04, -1.58782786e-02,\n -6.99940803e-02, 3.85583404e-06, -3.17610915e-03, -2.08755165e-05,\n -4.95154236e-06, -9.27552315e-02, -2.08583601e-09, -7.12317468e-03,\n -6.37427528e-03, -9.02376217e-01, -4.78687731e-07, -1.57846084e-05,\n -3.32036969e-01, -1.11945302e-01, -1.29250543e-06, -3.68960220e-03,\n -3.19222894e-06, -1.33312737e-06, -7.77119011e-08, -1.18095596e-05,\n 3.27827438e-05, -3.27827438e-05, -9.43410098e-07, -4.10271181e-07,\n 5.13302841e-11, -1.42703405e-07, -3.20686365e-02, -3.16782107e-02,\n -2.61144412e-07, -3.56459464e-02, -1.67930847e-02, -2.70111533e-02,\n 7.50960282e-07, -2.35031971e-06, 3.32245240e-06, -4.85265082e-03,\n 3.37003305e-06, 8.63577598e-06, -4.48767507e-07, 9.73320991e-07,\n 8.93709150e-07, -1.26279883e-03, -3.49867826e-06, 7.07326548e-07,\n -5.76099530e-07, -4.73538990e-03, -4.63272871e-07, 8.44054966e-07,\n -1.21780072e-05, -5.18854145e-01, -7.82530511e-08, 5.34759142e-06,\n 3.98493800e-07, -1.32773002e-01, 1.27573903e-05, 5.29070543e-10,\n -5.67870349e-07, -2.46417334e-01, -2.46413295e-01, -3.86013451e+00,\n 1.53354031e-08, -6.21816663e-03, -2.18561451e-02, -1.69373273e-07,\n 3.83122198e-05, -3.24235493e-03, -2.15484635e-02, -1.10553517e-09,\n -2.15874090e-01, -1.39873086e-02, -2.18162200e-02, -5.16469113e-06,\n -2.54897787e-07, -1.00132807e-02, -1.32154854e-06, 1.39528233e-06,\n 4.45333903e-07, 2.56841434e-07, -4.39124853e-03, -2.31879500e-02,\n -4.06891262e-07, 6.09764760e-06, -3.39519263e-06, -1.34423280e-02,\n -8.34454204e-03, -8.85648101e-02, -2.74752802e-02, 9.83441135e-07,\n 2.76961402e-07, -3.19235077e-02, -1.00041638e-03, -5.55145017e-03,\n -1.52557667e-01, -1.01987663e-05, -4.41790151e-07, 4.10325038e-05,\n -2.14741918e-06, 7.75001017e-06, -1.76785234e-05, 7.26959591e-06,\n 1.06415844e-05, 9.42835328e-06, -1.14941431e-01, 2.05594561e-07,\n 1.15121107e-06, -3.28154832e-02, -1.77543845e-06, -1.36736586e-03,\n -6.07634686e-03, -8.26598407e-07, -2.15120203e-08, -1.22960828e+01,\n -1.46722327e-07, -3.55930809e+00, -7.20148942e-01, -4.61863985e-01,\n -6.87075414e-01, 1.22595775e-07, 1.09805314e-07, -3.82633254e-01,\n -8.77974737e-01, -5.02287499e-01, -4.49634939e-08, -4.08793993e-04,\n -1.52714165e-02, -3.55097165e-02, -2.87050975e-07, -1.30088004e-02,\n -5.39524334e-06, 1.50574105e-06, -9.24043202e-03, -3.86449457e-06,\n -2.61834550e-03, 4.77559449e-06, -1.17548489e-02, -7.76841371e-03,\n 1.66964575e-06, 2.18780053e-06, 8.70414974e-06, 4.14973785e-07,\n -4.95214367e-03, -8.46459144e-03, -2.16725781e-08, 2.08379946e-07,\n -9.65029449e-02, -7.95349675e-07, -6.58113086e-03, -1.18903613e-01,\n -1.65939386e-06, -9.41035086e-02, -5.45390337e-08, -6.69859096e-03,\n -3.64107164e-07, -8.41551075e-07, -8.81817248e-02, 7.94741085e-07,\n -6.54766658e-03, 7.04207190e-07, 2.97841497e-06, 1.82950632e-06,\n 6.14218677e-12, -3.03254561e-05, -9.89142880e-07, -2.43776678e-06,\n -2.83943699e-06, -2.64255790e-08, 3.12761557e-08, -2.79093427e-02,\n -1.15224778e-02, -3.29402754e-02, -2.79140963e-06, -3.41373680e-02,\n -5.16934009e-03, -7.40077885e-02, -2.44392079e-06, -1.05281021e-06,\n -6.94535172e-06, -2.18334227e-07, -4.11427168e-02, -1.89716129e-06,\n -3.56214447e-07, 7.55876800e-06, -8.73396585e-02, 1.68751431e-07,\n 2.95454241e-07, -1.04354503e-06, 8.81665213e-06, -8.73429064e-02,\n 1.15567492e-06, 1.98334816e-06, 2.92449173e-07, -1.31202739e-05,\n -4.07624895e-07, 5.19718253e-07, 5.36688789e-08, 3.43345835e-07,\n -5.80844652e-02, -4.88029973e-02, -1.28641881e-02, -1.97512808e-02,\n -1.89118472e-02, -2.63257074e-02, 6.98523457e-05, 3.90216891e-06,\n -3.96339371e-06, 1.32213261e-05, -2.27402741e-01, -9.07672310e-01,\n -7.41764542e-01, -3.15369058e-01, 1.73866444e-07, -1.80107895e-07,\n -2.95088537e+00, -2.36322654e+00, -3.39389663e+00, -3.23385529e+00,\n -2.96036115e+00, -3.10586498e+00, -3.07924484e+00, -3.15016324e+00,\n -2.67574565e+00]), y=array([3.10545651e+02, 2.57462060e+02, 2.01170325e-16, ...,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00], shape=(1876,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1876,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved inaccurate', status_val=2, status_polish=0, obj_val=-5502.135581378337, prim_res=0.0011013170577312843, dual_res=0.04548035790967973, iter=10000, rho_updates=1, rho_estimate=0.0230593853671933, setup_time=0.003516041, solve_time=0.922467875, update_time=0.0, polish_time=0.0, run_time=0.9259839160000001))""}}, ""problem_class"": ""LP""}" +2500,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:06,0.36043500900268555,OPTIMAL,2133.723915141644,5501.845888286744,-3368.1219731451006,1.8569581565931383,5.3039516528731725e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 5501.845888286744, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2495,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:01,7.322507858276367,OPTIMAL,5501.880730155848,5501.932281772129,-0.0515516162804488,1.3069044045089504e-06,5.3290613480299514e-08,60700,"{""solver_solve_time"": 7.307856416, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 5501.932281772129, ""solver_stats"": {""solve_time"": 7.307856416, ""setup_time"": 0.004370415999999999, ""num_iters"": 60700, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 2.82984998e+00 2.89774247e+00 2.76241283e+00\n 9.53018139e+00 8.81530843e+00 8.33467558e+00 7.33573856e+00\n 7.07990152e+00 6.21351210e+00 6.21351825e+00 6.17118600e+00\n 6.03073826e+00 5.80285977e+00 6.02731132e+00 4.05917501e+00\n 4.05915543e+00 2.92252696e+00 2.92252692e+00 2.23535409e+00\n 2.18378910e+00 2.10224476e+00 2.04336143e+00 -2.00001029e-01\n 1.00005801e-01 7.59919975e-02 1.01001877e-01 8.84912781e-02\n 1.99225327e-06 1.84739764e-06 6.37399460e-01 -1.20724647e+00\n 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""res_dual"": 0.002028345491481245, ""gap"": 0.05155161627940703, ""res_infeas"": NaN, ""res_unbdd_a"": 0.0181754327168474, ""res_unbdd_p"": 0.0, ""comp_slack"": 5.481628983297693e-10, ""solve_time"": 7307.856416, ""setup_time"": 4.370416, ""lin_sys_time"": 6627.9166060001235, ""cone_time"": 270.42901499999914, ""accel_time"": 62.24845900001474, ""rejected_accel_steps"": 550, ""accepted_accel_steps"": 0, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2499,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:05,0.16762495040893555,OPTIMAL,5501.847406006198,5501.847406006194,3.637978807091713e-12,1.9534899517464263e-13,1.752228082047126e-11,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 5501.847406006194, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3309,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:35:49,9.543794,MAX_ITER,4.762702435920976e-18,0.0,4.762702435920976e-18,0.9997856150474191,0.001185231830626128,100,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""max_iter"", ""solve_time"": 9.543794, ""setup_time"": [], ""iterations"": 100, ""primal_objective_value"": 4.762702435920976e-18, ""dual_objective_value"": 0, ""duality_gap"": 4.762702435920976e-18, ""primal_infeasibility"": 0.9997856150474191, ""dual_infeasibility"": 0.001185231830626128, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Maximum number of iterations reached"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:35:48"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -6, ""iter"": 100, ""full_info"": {""dimacs"": [2.3305879447964264, 0, 127.47702834744653, 0, 4.7627024359209754e-18, 3.5381216440293355e-15], ""termcode"": -6, ""iter"": 100, ""obj"": [4.7627024359209754e-18, 0], ""gap"": 3.5381216440293355e-15, ""relgap"": 3.5381216440293355e-15, ""pinfeas"": 2.3305879447964264, ""dinfeas"": 127.47702834744653, ""cputime"": 9.371855999999987, ""time"": {""preproc"": 0.0383329999999944, ""pred"": 4.988463000000003, ""pred_pstep"": 0.017184999999962258, ""pred_dstep"": 0.015959999999999752, ""corr"": 4.173333000000049, ""corr_pstep"": 0.013334000000028823, ""corr_dstep"": 0.0067709999999649995, ""pchol"": 0.02976699999997834, ""dchol"": 0.008614000000029876, ""misc"": 0.08593699999999416}, ""resid"": [], ""reldist"": [], ""normX"": 6.904377910114096e-19, ""normy"": 0, ""normZ"": 12891.633488265556, ""normA"": 12970.367312960923, ""normb"": 4663.5064775376495, ""normC"": 156.28482446191003, ""msg1"": ""Stop: maximum number of iterations reached"", ""msg2"": [], ""model"": 2}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -6, ""iter"": 100, ""full_info"": {""dimacs"": [2.3305879447964264, 0, 127.47702834744653, 0, 4.7627024359209754e-18, 3.5381216440293355e-15], ""termcode"": -6, ""iter"": 100, ""obj"": [4.7627024359209754e-18, 0], ""gap"": 3.5381216440293355e-15, ""relgap"": 3.5381216440293355e-15, ""pinfeas"": 2.3305879447964264, ""dinfeas"": 127.47702834744653, ""cputime"": 9.371855999999987, ""time"": {""preproc"": 0.0383329999999944, ""pred"": 4.988463000000003, ""pred_pstep"": 0.017184999999962258, ""pred_dstep"": 0.015959999999999752, ""corr"": 4.173333000000049, ""corr_pstep"": 0.013334000000028823, ""corr_dstep"": 0.0067709999999649995, ""pchol"": 0.02976699999997834, ""dchol"": 0.008614000000029876, ""misc"": 0.08593699999999416}, ""resid"": [], ""reldist"": [], ""normX"": 6.904377910114096e-19, ""normy"": 0, ""normZ"": 12891.633488265556, ""normA"": 12970.367312960923, ""normb"": 4663.5064775376495, ""normC"": 156.28482446191003, ""msg1"": ""Stop: maximum number of iterations reached"", ""msg2"": [], ""model"": 2}}, ""problem_class"": ""LP""}" +3308,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:35:36,0.38349666666666665,OPTIMAL,5501.848290793155,5501.855544975197,0.007254182041833701,1.824452196154916e-09,9.559410842310641e-11,29,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.38349666666666665, ""setup_time"": [], ""iterations"": 29, ""primal_objective_value"": 5501.848290793155, ""dual_objective_value"": 5501.855544975197, ""duality_gap"": 0.007254182041833701, ""primal_infeasibility"": 1.824452196154916e-09, ""dual_infeasibility"": 9.559410842310641e-11, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:35:34"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 29, ""feasratio"": 1.000626584563777, ""full_info"": {""iter"": 29, ""feasratio"": 1.000626584563777, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 4.2529580606157506e-09, ""timing"": [0.06692782044410706, 0.2955928444862366, 0.003530457615852356], ""wallsec"": 0.366051122546196, ""cpusec"": 1.1400000000000001}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 29, ""feasratio"": 1.000626584563777, ""full_info"": {""iter"": 29, ""feasratio"": 1.000626584563777, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 4.2529580606157506e-09, ""timing"": [0.06692782044410706, 0.2955928444862366, 0.003530457615852356], ""wallsec"": 0.366051122546196, ""cpusec"": 1.1400000000000001}}, ""problem_class"": ""LP""}" +2493,scipy_linprog,scipy-1.15.3,NETLIB,netlib_25fv47,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:41:52,0.12314295768737793,OPTIMAL,5501.845888286733,,,0.0,,3164,"{""solver_solve_time"": 0.12314295768737793, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 5501.845888286733, ""scipy_nit"": 3164, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2503,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:12,0.8040890693664551,OPTIMAL,510826.3436900792,510826.3421952144,0.0014948647585697472,8.380670472415997e-12,4.7738654918668976e-18,40,"{""solver_solve_time"": 0.192140339, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 510826.3421952144, ""solver_stats"": {""solve_time"": 0.192140339, ""num_iters"": 40, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2507,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:09,6.556016206741333,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +2505,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:55,0.9250438213348389,OPTIMAL,510826.3429255348,510826.3428443195,8.121534483507276e-05,4.526636607557751e-13,1.1342809336920577e-17,40,"{""solver_solve_time"": 0.1571205, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 510826.3428443195, ""solver_stats"": {""solve_time"": 0.1571205, ""setup_time"": 0.004860458, ""num_iters"": 40, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-7.43302367e-11 -7.51863129e-11 -1.52035751e-10 ... -1.30239321e+01\n -1.14704826e+01 -1.10181519e+01]"", ""y"": ""[]"", ""z"": ""[5.31124504e+02 2.86801321e+02 5.44741602e+02 ... 7.07625294e-10\n 8.03539091e-10 8.36551977e-10]"", ""s"": ""[1.73402637e-11 3.21122613e-11 1.69068021e-11 ... 1.30239321e+01\n 1.14704826e+01 1.10181519e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": -510826.3428443703, ""dcost"": -510826.3429255323, ""pres"": 1.559500110287635e-14, ""dres"": 6.520622275330992e-14, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.7612835057020536, ""gap"": 0.002864881223464177, ""relgap"": 5.6083271029289875e-09, ""r0"": 1e-08, ""iter"": 40, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.161980958, ""tsetup"": 0.004860458, ""tsolve"": 0.1571205}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2510,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:21,1.0827338695526123,OPTIMAL,510826.3428736541,510826.34287365404,5.820766091346741e-11,3.1206131819956855e-18,3.2655995324188632e-21,5583,"{""solver_solve_time"": 0.28956858441233635, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 510826.34287365404, ""solver_stats"": {""solve_time"": 0.28956858441233635, ""num_iters"": 5583, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2506,cvxpy_osqp,unknown,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:00,3.144896984100342,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2509,cvxpy_scip,unknown,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:17,1.8055663108825684,ERROR,,,,,,,"{""error_message"": ""cannot reshape array of size 15525 into shape (15545,)"", ""problem_class"": ""LP""}" +2504,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:52,38.08684587478638,OPTIMAL (INACCURATE),602050.1282749325,601594.1778213199,455.9504536126042,4.751558423260902e-06,7.621884440964235e-09,100000,"{""solver_solve_time"": 37.481792708, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 601594.1778213199, ""solver_stats"": {""solve_time"": 37.481792708, ""setup_time"": 0.010059708, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 1.29419469e-05 1.04236236e-05 5.42103843e-06 ... -8.22487305e+01\n -1.57337372e+02 -1.53116017e+02]"", ""y"": ""[531.12354931 286.79221925 545.81084266 ... 0. 0.\n 0. ]"", ""s"": ""[ 0. 0. 0. ... 82.24873048 157.3373719\n 153.11601673]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 3, ""scale"": 4.348246228728347, ""pobj"": -601594.17782132, ""dobj"": -602050.1282749326, ""res_pri"": 0.2328785678177111, ""res_dual"": 3.107957098581845, ""gap"": 455.9504536126753, ""res_infeas"": NaN, ""res_unbdd_a"": 0.005565878333673821, ""res_unbdd_p"": 0.0, ""comp_slack"": 5.629589517160467e-06, ""solve_time"": 37481.792708, ""setup_time"": 10.059708, ""lin_sys_time"": 29875.4630430007, ""cone_time"": 2525.964192999637, ""accel_time"": 811.66366200015, ""rejected_accel_steps"": 905, ""accepted_accel_steps"": 0, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2508,cvxpy_sdpa,unknown,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:43:13,2.1382529735565186,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3311,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:36:07,3.731296375,OPTIMAL,510826.343328226,510826.3426362065,0.0006920195301063359,2.505656206011619e-12,2.2093532906415707e-28,97,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 3.731296375, ""setup_time"": [], ""iterations"": 97, ""primal_objective_value"": 510826.343328226, ""dual_objective_value"": 510826.3426362065, ""duality_gap"": 0.0006920195301063359, ""primal_infeasibility"": 2.505656206011619e-12, ""dual_infeasibility"": 2.2093532906415707e-28, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:36:05"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": 0, ""iter"": 97, ""full_info"": {""dimacs"": [2.528579031678217e-12, 0, 3.3105002190545774e-14, 0, 6.773542920403054e-10, 8.15222730360627e-10], ""termcode"": 0, ""iter"": 97, ""obj"": [510826.3433282272, 510826.34263620566], ""gap"": 0.0008328753073549235, ""relgap"": 1.6304438648342257e-09, ""pinfeas"": 2.528579031678217e-12, ""dinfeas"": 3.3105002190545774e-14, ""cputime"": 3.5474309999999996, ""time"": {""preproc"": 0.04317199999999999, ""pred"": 3.0276799999999957, ""pred_pstep"": 0.0282590000000027, ""pred_dstep"": 0.03127499999999861, ""corr"": 0.19990100000000366, ""corr_pstep"": 0.023106999999996658, ""corr_dstep"": 0.01757199999999859, ""pchol"": 0.03555500000000289, ""dchol"": 0.011409999999998366, ""misc"": 0.134930000000002}, ""resid"": [], ""reldist"": [], ""normX"": 1009779.6622082095, ""normy"": 1414178.952305803, ""normZ"": 1997317.5354677574, ""normA"": 683794.5640413646, ""normb"": 1009699.2133311342, ""normC"": 5492.113502187768, ""msg1"": ""Stop: max(relative gap,infeasibilities) < 1.00e-08"", ""msg2"": [], ""model"": 2}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 97, ""full_info"": {""dimacs"": [2.528579031678217e-12, 0, 3.3105002190545774e-14, 0, 6.773542920403054e-10, 8.15222730360627e-10], ""termcode"": 0, ""iter"": 97, ""obj"": [510826.3433282272, 510826.34263620566], ""gap"": 0.0008328753073549235, ""relgap"": 1.6304438648342257e-09, ""pinfeas"": 2.528579031678217e-12, ""dinfeas"": 3.3105002190545774e-14, ""cputime"": 3.5474309999999996, ""time"": {""preproc"": 0.04317199999999999, ""pred"": 3.0276799999999957, ""pred_pstep"": 0.0282590000000027, ""pred_dstep"": 0.03127499999999861, ""corr"": 0.19990100000000366, ""corr_pstep"": 0.023106999999996658, ""corr_dstep"": 0.01757199999999859, ""pchol"": 0.03555500000000289, ""dchol"": 0.011409999999998366, ""misc"": 0.134930000000002}, ""resid"": [], ""reldist"": [], ""normX"": 1009779.6622082095, ""normy"": 1414178.952305803, ""normZ"": 1997317.5354677574, ""normA"": 683794.5640413646, ""normb"": 1009699.2133311342, ""normC"": 5492.113502187768, ""msg1"": ""Stop: max(relative gap,infeasibilities) < 1.00e-08"", ""msg2"": [], ""model"": 2}}, ""problem_class"": ""LP""}" +3310,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:35:59,3.9683111666666666,OPTIMAL (INACCURATE),510861.0860456509,510776.9027561323,84.18328951857984,1.2166650233347834e-06,2.0914870888794028e-12,30,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal (inaccurate)"", ""solve_time"": 3.9683111666666666, ""setup_time"": [], ""iterations"": 30, ""primal_objective_value"": 510861.0860456509, ""dual_objective_value"": 510776.9027561323, ""duality_gap"": 84.18328951857984, ""primal_infeasibility"": 1.2166650233347834e-06, ""dual_infeasibility"": 2.0914870888794028e-12, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Numerical problems warning (low accuracy)"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:35:56"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""iter"": 30, ""feasratio"": 1.0402192434661985, ""full_info"": {""iter"": 30, ""feasratio"": 1.0402192434661985, ""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""r0"": 0.00016400372555653862, ""timing"": [0.08991099894046783, 3.855360299348831, 0.003822147846221924], ""wallsec"": 3.949093446135521, ""cpusec"": 22.28}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""iter"": 30, ""feasratio"": 1.0402192434661985, ""full_info"": {""iter"": 30, ""feasratio"": 1.0402192434661985, ""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""r0"": 0.00016400372555653862, ""timing"": [0.08991099894046783, 3.855360299348831, 0.003822147846221924], ""wallsec"": 3.949093446135521, ""cpusec"": 22.28}}, ""problem_class"": ""LP""}" +2502,scipy_linprog,scipy-1.15.3,NETLIB,netlib_80bau3b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T08:42:09,0.9095947742462158,OPTIMAL,510826.34287365514,,,0.0,,3050,"{""solver_solve_time"": 0.9095947742462158, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 510826.34287365514, ""scipy_nit"": 3050, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3250,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:37,0.16317176818847656,OPTIMAL,458815.8491267638,458815.8469853854,0.002141378412488848,2.0329558580008e-14,0.0,20,"{""solver_solve_time"": 0.087262417, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 458815.8469853854, ""solver_stats"": {""solve_time"": 0.087262417, ""num_iters"": 20, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3254,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:57,6.86423921585083,OPTIMAL,458816.03089711245,458815.8282245443,0.20267256814986467,1.3187490417833577e-14,0.0,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 458815.8282245443, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +3252,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:46,0.11576294898986816,OPTIMAL,458815.8492439927,458815.84697304067,0.0022709520417265594,1.1361655706611234e-11,0.0,20,"{""solver_solve_time"": 0.071551291, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 458815.84697304067, ""solver_stats"": {""solve_time"": 0.071551291, ""setup_time"": 0.002873083, ""num_iters"": 20, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 2.94474386e+01 3.28652293e+01 3.53349132e+01 2.53349132e+01\n 2.16670218e+01 2.50007826e+01 2.16670218e+01 2.53349131e+01\n 3.53349131e+01 4.19002868e+01 3.60272743e+01 6.62771076e+01\n 6.66678045e+01 6.46661523e+01 5.59132841e+01 4.66678045e+01\n 4.00002828e+01 4.66678045e+01 5.66678044e+01 6.46661524e+01\n 6.60794977e+01 7.25231907e+01 1.02597394e+02 1.00001065e+02\n 9.00010655e+01 8.00010655e+01 7.16673046e+01 6.83348263e+01\n 7.16673046e+01 8.00010655e+01 9.00010655e+01 1.00001065e+02\n 1.08167761e+02 1.41093189e+02 1.33335609e+02 1.23335609e+02\n 1.13335609e+02 1.06496709e+02 1.00003131e+02 1.06528293e+02\n 1.13335609e+02 1.23335609e+02 1.33335609e+02 1.41298358e+02\n 1.80003913e+02 1.70003913e+02 1.60003913e+02 1.50003913e+02\n 1.43336392e+02 1.45002631e+02 1.43336392e+02 1.50003913e+02\n 1.60003913e+02 1.70003913e+02 1.80003913e+02 2.25337544e+02\n 2.15337544e+02 2.05337544e+02 2.00003413e+02 1.91114239e+02\n 1.86669653e+02 1.91114239e+02 1.99539274e+02 2.05337544e+02\n 2.15337544e+02 2.25337544e+02 2.69356412e+02 2.65572789e+02\n 2.55896374e+02 2.46270987e+02 2.37781689e+02 2.37225848e+02\n 2.37781689e+02 2.46270987e+02 2.55895740e+02 2.65572210e+02\n 2.69303987e+02 3.20132555e+02 3.15005903e+02 3.05327893e+02\n 2.99782670e+02 2.94818985e+02 2.88893725e+02 2.93739882e+02\n 2.99782670e+02 3.05326162e+02 3.15005903e+02 3.20120549e+02\n 3.78110323e+02 3.70562098e+02 3.61854240e+02 3.54972452e+02\n 3.50820831e+02 3.50007044e+02 3.50820831e+02 3.54972089e+02\n 3.61458290e+02 3.70562098e+02 3.77396784e+02 4.37229975e+02\n 4.27229975e+02 4.19555747e+02 4.15489143e+02 4.13340921e+02\n 4.12747938e+02 4.13340921e+02 4.15489143e+02 4.19555747e+02\n 4.27229975e+02 4.37229975e+02 4.98694474e+02 4.89820468e+02\n 4.83896901e+02 4.79429115e+02 4.77416250e+02 4.76674798e+02\n 4.77416249e+02 4.79430288e+02 4.83896901e+02 4.89466386e+02\n 4.98694474e+02 5.65231867e+02 5.55719178e+02 5.50032138e+02\n 5.44614738e+02 5.42813099e+02 5.42084561e+02 5.42813099e+02\n 5.44614738e+02 5.50032473e+02 5.55721288e+02 5.65231867e+02\n 6.33656904e+02 6.23704317e+02 6.18160611e+02 6.12418043e+02\n 6.09283050e+02 6.08951401e+02 6.09283050e+02 6.12418043e+02\n 6.17851162e+02 6.23703653e+02 6.33656483e+02 7.03581144e+02\n 6.93664306e+02 6.87062796e+02 6.81580511e+02 6.78556345e+02\n 6.76481538e+02 6.78556345e+02 6.81580511e+02 6.87062796e+02\n 6.93663730e+02 7.03581144e+02 7.74521001e+02 7.64861109e+02\n 7.57811750e+02 7.52716425e+02 7.48778999e+02 7.48161289e+02\n 7.48779000e+02 7.52660617e+02 7.57811750e+02 7.64861913e+02\n 7.74521001e+02 8.47591069e+02 8.37887837e+02 8.30220345e+02\n 8.25180184e+02 8.22298757e+02 8.21076461e+02 8.22298757e+02\n 8.25180184e+02 8.30220345e+02 8.37947794e+02 8.47591069e+02\n 9.21467465e+02 9.12026709e+02 9.05973115e+02 9.00121517e+02\n 8.97477646e+02 8.96436225e+02 8.97477645e+02 9.00121518e+02\n 9.05973042e+02 9.12028816e+02 9.21467465e+02 9.99067219e+02\n 9.89456553e+02 9.83207628e+02 9.77501042e+02 9.74258986e+02\n 9.73878830e+02 9.74258986e+02 9.77502193e+02 9.83207628e+02\n 9.89458120e+02 9.99067219e+02 1.07811425e+03 1.06840856e+03\n 1.06225204e+03 1.05704096e+03 1.05393364e+03 1.05208175e+03\n 1.05393364e+03 1.05704089e+03 1.06225204e+03 1.06840969e+03\n 1.07811425e+03 1.15918480e+03 1.14962853e+03 1.14371296e+03\n 1.13889544e+03 1.13491471e+03 1.13398845e+03 1.13491471e+03\n 1.13889544e+03 1.14371296e+03 1.14962498e+03 1.15918480e+03\n 1.24274343e+03 1.23319483e+03 1.22616183e+03 1.22134400e+03\n 1.21895024e+03 1.21774768e+03 1.21895024e+03 1.22134400e+03\n 1.22616183e+03 1.23320093e+03 1.24274343e+03 1.32733543e+03\n 1.31778200e+03 1.31205868e+03 1.30697182e+03 1.30417697e+03\n 1.30391204e+03 1.30417697e+03 1.30697182e+03 1.31205868e+03\n 1.31778807e+03 1.32733543e+03 1.41530654e+03 1.40563574e+03\n 1.39946247e+03 1.39410344e+03 1.39193362e+03 1.39060625e+03\n 1.39193362e+03 1.39410344e+03 1.39946247e+03 1.40600229e+03\n 1.41530654e+03 1.50479952e+03 1.49527704e+03 1.48924498e+03\n 1.48407960e+03 1.48053273e+03 1.47995520e+03 1.48053273e+03\n 1.48407960e+03 1.48924498e+03 1.49527704e+03 1.50479952e+03\n 1.59676002e+03 1.58732746e+03 1.58007403e+03 1.57489142e+03\n 1.57210118e+03 1.57045920e+03 1.57210118e+03 1.57489142e+03\n 1.58007403e+03 1.58701959e+03 1.59676002e+03 1.68940668e+03\n 1.67979149e+03 1.67335939e+03 1.66814756e+03 1.66481789e+03\n 1.66424716e+03 1.66481789e+03 1.66814756e+03 1.67335939e+03\n 1.67978602e+03 1.68940668e+03 1.78486538e+03 1.77523385e+03\n 1.76824190e+03 1.76300311e+03 1.76029355e+03 1.75917658e+03\n 1.76029355e+03 1.76300311e+03 1.76824190e+03 1.77523666e+03\n 1.78486538e+03 1.88147575e+03 1.87186216e+03 1.86584594e+03\n 1.86039242e+03 1.85736180e+03 1.85633993e+03 1.85736180e+03\n 1.86039242e+03 1.86584594e+03 1.87188028e+03 1.88147575e+03\n 1.98110755e+03 1.97147660e+03 1.96503712e+03 1.95966907e+03\n 1.95643880e+03 1.95554702e+03 1.95643880e+03 1.95966907e+03\n 1.96482607e+03 1.97146909e+03 1.98110755e+03 2.08210639e+03\n 2.07246824e+03 2.06606259e+03 2.06094230e+03 2.05785429e+03\n 2.05653767e+03 2.05785429e+03 2.06094229e+03 2.06593418e+03\n 2.07216167e+03 2.08156563e+03 2.18522656e+03 2.17620390e+03\n 2.16940336e+03 2.16440052e+03 2.16104117e+03 2.16016156e+03\n 2.16104116e+03 2.16440052e+03 2.16940336e+03 2.17550576e+03\n 2.18487898e+03 2.29053785e+03 2.28095956e+03 2.27439644e+03\n 2.26927651e+03 2.26670779e+03 2.26554466e+03 2.26670778e+03\n 2.26927651e+03 2.27413266e+03 2.28088623e+03 2.29053785e+03\n 2.39762661e+03 2.38800858e+03 2.38202502e+03 2.37684533e+03\n 2.37378000e+03 2.37325402e+03 2.37378000e+03 2.37684533e+03\n 2.38184753e+03 2.38757851e+03 2.39692266e+03 2.50727187e+03\n 2.49759934e+03 2.49122090e+03 2.48597085e+03 2.48339155e+03\n 2.48187112e+03 2.48339157e+03 2.48597085e+03 2.49030686e+03\n 2.49727030e+03 2.50676680e+03 2.61849953e+03 2.60883217e+03\n 2.60277329e+03 2.59753129e+03 2.59420620e+03 2.59341769e+03\n 2.59388850e+03 2.59765437e+03 2.60103499e+03 2.60724062e+03\n 2.61627048e+03 2.73215997e+03 2.72243333e+03 2.71566595e+03\n 2.71049486e+03 2.70769788e+03 2.70639705e+03 2.70755546e+03\n 2.70938250e+03 2.71370025e+03 2.71961463e+03 2.72691057e+03\n 2.84694797e+03 2.83730109e+03 2.83042102e+03 2.82587743e+03\n 2.82268571e+03 2.82193490e+03 2.82203077e+03 2.82484153e+03\n 2.82871977e+03 2.83322097e+03 2.84043866e+03 2.96267095e+03\n 2.95399849e+03 2.94815724e+03 2.94289315e+03 2.94014023e+03\n 2.93823590e+03 2.93941273e+03 2.94289315e+03 2.94526588e+03\n 2.94902269e+03 2.95511635e+03 3.08337858e+03 3.07417517e+03\n 3.06677407e+03 3.06236118e+03 3.05835561e+03 3.05753144e+03\n 3.05918181e+03 3.06159007e+03 3.06505752e+03 3.06711443e+03\n 3.07192075e+03 3.20251169e+03 3.19318246e+03 3.18663111e+03\n 3.18152595e+03 3.17963408e+03 3.17938924e+03 3.17966042e+03\n 3.18291568e+03 3.18651535e+03 3.18718938e+03 3.19090416e+03\n 3.32198432e+03 3.31572393e+03 3.30939629e+03 3.30457801e+03\n 3.30250071e+03 3.30167982e+03 3.30324776e+03 3.30479934e+03\n 3.30650665e+03 3.30827813e+03 3.31106220e+03 3.44267955e+03\n 3.43806046e+03 3.43249753e+03 3.43209531e+03 3.42639959e+03\n 3.42575173e+03 3.42701035e+03 3.42834720e+03 3.43112739e+03\n 3.42946420e+03 3.43085341e+03 3.56512689e+03 3.56465360e+03\n 3.55959616e+03 3.55495222e+03 3.55588677e+03 3.55098761e+03\n 3.54979802e+03 3.55249045e+03 3.54959088e+03 3.54948586e+03\n 3.54999390e+03 3.68654681e+03 3.68671676e+03 3.69016907e+03\n 3.68245295e+03 3.67935642e+03 3.68105327e+03 3.67398945e+03\n 3.66967037e+03 3.66767346e+03 3.66662207e+03 3.66635136e+03\n 3.80444938e+03 3.80531600e+03 3.80869675e+03 3.81708910e+03\n 3.80746451e+03 3.79903258e+03 3.79169585e+03 3.78557148e+03\n 3.78181694e+03 3.78045377e+03 3.78028486e+03 3.91786630e+03\n 3.91772518e+03 3.91699496e+03 3.91593483e+03 3.91527313e+03\n 1.52009692e+02 1.09134923e+02 5.53350546e+01 1.00000000e+01\n -1.66688039e+00 2.92274813e-09 1.66688040e+00 -1.00000000e+01\n -5.53350545e+01 -9.95366002e+01 -1.46642349e+02 1.54002840e+02\n 1.06668087e+02 5.73338588e+01 2.00000000e+01 1.66688042e+00\n -4.65024996e-10 -1.66688042e+00 -2.00000000e+01 -5.73338588e+01\n -1.05550394e+02 -1.49077472e+02 1.60036777e+02 1.12668913e+02\n 6.73338588e+01 3.00000000e+01 1.16668804e+01 -1.11043300e-09\n -1.16668804e+01 -3.00000000e+01 -6.73338588e+01 -1.12668913e+02\n -1.57671120e+02 1.68320517e+02 1.16669370e+02 7.73338588e+01\n 4.00000000e+01 1.91709161e+01 -5.81081691e-11 -1.93229202e+01\n -4.00000000e+01 -7.73338588e+01 -1.16669370e+02 -1.67671120e+02\n 1.77671120e+02 1.26669370e+02 8.73338588e+01 5.00000000e+01\n 2.33331196e+01 3.30310538e-09 -2.33331196e+01 -5.00000000e+01\n -8.73338588e+01 -1.26669370e+02 -1.77671120e+02 1.87671120e+02\n 1.36669370e+02 9.73338588e+01 5.99999999e+01 2.61114674e+01\n 2.49585757e-09 -2.61114674e+01 -5.95358611e+01 -9.73338588e+01\n -1.36669370e+02 -1.87671120e+02 1.97671120e+02 1.46669370e+02\n 1.07021407e+02 6.92011043e+01 3.11118948e+01 -2.09285999e-09\n -3.11118948e+01 -6.92011043e+01 -1.07022273e+02 -1.46669370e+02\n -1.97671120e+02 2.07671120e+02 1.56669370e+02 1.16674978e+02\n 7.51120783e+01 3.75929961e+01 -6.02484505e-10 -3.70248829e+01\n -7.51120783e+01 -1.16675843e+02 -1.56669370e+02 -2.07671120e+02\n 2.17671120e+02 1.66669370e+02 1.23420402e+02 8.21558876e+01\n 4.19269649e+01 -1.02293633e-09 -4.19269649e+01 -8.21551617e+01\n -1.23618996e+02 -1.66669370e+02 -2.17671120e+02 2.27671120e+02\n 1.76669370e+02 1.29395230e+02 8.65951353e+01 4.33337356e+01\n -2.55777894e-08 -4.33337356e+01 -8.65951353e+01 -1.29395230e+02\n -1.76669370e+02 -2.27671120e+02 2.37671120e+02 1.86232766e+02\n 1.35002751e+02 8.95220033e+01 4.46681704e+01 6.76254747e-09\n -4.46681704e+01 -8.95208307e+01 -1.35002751e+02 -1.85869008e+02\n -2.37671120e+02 2.47671120e+02 1.93427301e+02 1.40269071e+02\n 9.18665174e+01 4.61381603e+01 -3.58734854e-08 -4.61381603e+01\n -9.18665174e+01 -1.40268903e+02 -1.93426246e+02 -2.47671120e+02\n 2.57671120e+02 2.00166981e+02 1.46831619e+02 9.57429626e+01\n 4.71983470e+01 -2.40133455e-08 -4.71983470e+01 -9.57429626e+01\n -1.46212721e+02 -2.00167313e+02 -2.57671120e+02 2.67671120e+02\n 2.08455683e+02 1.52756275e+02 9.94956671e+01 4.96048024e+01\n 4.48304724e-08 -4.96048024e+01 -9.94956671e+01 -1.52756275e+02\n -2.08455971e+02 -2.67671120e+02 2.77671120e+02 2.17054892e+02\n 1.58114047e+02 1.04303108e+02 5.22973200e+01 1.39651825e-08\n -5.22973200e+01 -1.03808776e+02 -1.58114047e+02 -2.17054364e+02\n -2.77671120e+02 2.87671120e+02 2.25518556e+02 1.65178446e+02\n 1.08698363e+02 5.41373269e+01 -2.62128005e-08 -5.41373268e+01\n -1.08698363e+02 -1.65178446e+02 -2.25488578e+02 -2.87671120e+02\n 2.97671120e+02 2.33919048e+02 1.71484477e+02 1.11959946e+02\n 5.64010432e+01 4.44032257e-08 -5.64010433e+01 -1.11959946e+02\n -1.71484333e+02 -2.33917995e+02 -2.97671120e+02 3.07671120e+02\n 2.41739160e+02 1.77859443e+02 1.16538880e+02 5.78226193e+01\n -2.08200086e-08 -5.78226193e+01 -1.16538305e+02 -1.77859443e+02\n -2.41738377e+02 -3.07671120e+02 3.17671120e+02 2.49201356e+02\n 1.83807165e+02 1.20935833e+02 6.00546678e+01 -2.19868859e-08\n -6.00546678e+01 -1.20935571e+02 -1.83807165e+02 -2.49200792e+02\n -3.17671120e+02 3.27671120e+02 2.57391249e+02 1.89611740e+02\n 1.25016322e+02 6.28328268e+01 5.94865152e-08 -6.28328268e+01\n -1.25016322e+02 -1.89611740e+02 -2.57393022e+02 -3.27671120e+02\n 3.37671120e+02 2.65131611e+02 1.95325500e+02 1.29261969e+02\n 6.49616544e+01 6.61986887e-08 -6.49616545e+01 -1.29261969e+02\n -1.95325500e+02 -2.65128563e+02 -3.37671120e+02 3.47671120e+02\n 2.73373303e+02 2.01176956e+02 1.32983091e+02 6.64291425e+01\n -1.31607780e-07 -6.64291422e+01 -1.32983091e+02 -2.01176956e+02\n -2.73370269e+02 -3.47671120e+02 3.57671120e+02 2.81225748e+02\n 2.06998577e+02 1.36355478e+02 6.80214364e+01 1.91013401e-07\n -6.80214365e+01 -1.36355478e+02 -2.06998576e+02 -2.81042470e+02\n -3.57671120e+02 3.67671120e+02 2.88701098e+02 2.12642595e+02\n 1.40167277e+02 6.99263359e+01 2.16670375e-08 -6.99263357e+01\n -1.40167277e+02 -2.12642597e+02 -2.88701098e+02 -3.67671120e+02\n 3.77671120e+02 2.96661441e+02 2.19007383e+02 1.44284884e+02\n 7.21458406e+01 -4.91361047e-08 -7.21458405e+01 -1.44284884e+02\n -2.19007383e+02 -2.96815376e+02 -3.77671120e+02 3.87671120e+02\n 3.05175916e+02 2.24660703e+02 1.48192086e+02 7.43585479e+01\n 7.40681885e-08 -7.43585479e+01 -1.48192086e+02 -2.24660703e+02\n -3.05178651e+02 -3.87671120e+02 3.97671120e+02 3.13434992e+02\n 2.31205004e+02 1.52543626e+02 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4.57671120e+02 3.61280893e+02 2.67178986e+02 1.76683491e+02\n 8.82352029e+01 6.66842821e-06 -8.82352031e+01 -1.76683493e+02\n -2.67302693e+02 -3.61258668e+02 -4.57603906e+02 4.67671120e+02\n 3.69141159e+02 2.73115430e+02 1.80425913e+02 9.01374029e+01\n -1.44229667e-01 -9.01374001e+01 -1.80425913e+02 -2.73105603e+02\n -3.69305674e+02 -4.67538930e+02 4.77671120e+02 3.77069126e+02\n 2.78899321e+02 1.84390076e+02 9.21907097e+01 -1.11416052e-01\n -9.25084135e+01 -1.84400059e+02 -2.79462049e+02 -3.77335772e+02\n -4.77341609e+02 4.87671120e+02 3.85091173e+02 2.85108638e+02\n 1.88479231e+02 9.41686291e+01 -2.21820607e-07 -9.44991049e+01\n -1.88449605e+02 -2.86091484e+02 -3.86046693e+02 -4.87001564e+02\n 4.97671120e+02 3.93251678e+02 2.91275482e+02 1.92348036e+02\n 9.62885210e+01 -1.19809610e-01 -9.56335829e+01 -1.92470624e+02\n -2.91476067e+02 -3.93617138e+02 -4.96545625e+02 5.07671120e+02\n 4.01752640e+02 2.97230002e+02 1.96495818e+02 9.80853775e+01\n 7.38478662e-01 -9.76537141e+01 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2.20130552e+02 1.08056724e+02 3.74811517e+00 -1.06729331e+02\n -2.12517315e+02 -3.18325711e+02 -4.27428452e+02 -5.40091025e+02\n 5.56003126e+02 4.42688976e+02 3.32644118e+02 2.25818205e+02\n 1.12779145e+02 3.74811719e+00 -1.03905725e+02 -2.10859893e+02\n -3.17981977e+02 -4.27803437e+02 -5.40254295e+02 5.55906039e+02\n 4.42361739e+02 3.31586221e+02 2.24274109e+02 1.15853030e+02]"", ""y"": ""[]"", ""z"": ""[8.90308318e-08 6.16868696e-09 5.33200029e+01 ... 1.37607772e-08\n 2.49002604e-08 2.69405039e-08]"", ""s"": ""[2.95022347e+00 4.17711765e+01 4.84034805e-09 ... 1.82781753e+01\n 1.06616982e+01 9.33830179e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": -458815.84697304055, ""dcost"": -458815.8492439903, ""pres"": 2.1245856960019818e-14, ""dres"": 5.134650370463408e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.04048485055359788, ""gap"": 0.0022703930669122413, ""relgap"": 4.948375436225172e-09, ""r0"": 1e-08, ""iter"": 20, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.074424374, ""tsetup"": 0.002873083, ""tsolve"": 0.071551291}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3257,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:02,0.4046149253845215,OPTIMAL,458815.84718561685,458815.8471856169,-5.820766091346741e-11,3.558826465280976e-15,1.9120085393770756e-18,4096,"{""solver_solve_time"": 0.35892183519899845, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 458815.8471856169, ""solver_stats"": {""solve_time"": 0.35892183519899845, ""num_iters"": 4096, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3253,cvxpy_osqp,unknown,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:49,1.8394460678100586,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3256,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:01,1.402557134628296,OPTIMAL,450093.1136987094,458815.84718561696,-8722.733486907557,6.484628142334104,1.7277740996132149e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 458815.84718561696, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3251,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:45,6.682442903518677,OPTIMAL,458815.8470728556,458815.8444947918,0.0025780638097785413,8.202231597636113e-06,4.9063664887493174e-11,27750,"{""solver_solve_time"": 6.636026333, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 458815.8444947918, ""solver_stats"": {""solve_time"": 6.636026333, 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""[0.00000000e+00 0.00000000e+00 1.02711618e+02 ... 0.00000000e+00\n 1.40969309e-15 0.00000000e+00]"", ""s"": ""[ 3.57679973 41.14460027 0. ... 16.57165131 11.63366776\n 8.36633224]"", ""info"": {""status_val"": 1, ""iter"": 27750, ""scale_updates"": 2, ""scale"": 1.2370604629105582, ""pobj"": -458815.8444947919, ""dobj"": -458815.8470728557, ""res_pri"": 3.6668217721203176e-05, ""res_dual"": 0.0001450475292726373, ""gap"": 0.0025780638237242084, ""res_infeas"": NaN, ""res_unbdd_a"": 4.8735753388861374e-05, ""res_unbdd_p"": 0.0, ""comp_slack"": 1.4301610586901359e-15, ""solve_time"": 6636.026333, ""setup_time"": 6.013666, ""lin_sys_time"": 5570.988844000006, ""cone_time"": 335.35267700000895, ""accel_time"": 99.9759639999968, ""rejected_accel_steps"": 248, ""accepted_accel_steps"": 33, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +3255,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:58,0.44057297706604004,OPTIMAL,458815.8563522906,458815.84520910715,0.01114318345207721,1.1196037294524993e-12,1.8111623659770946e-14,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 458815.84520910715, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3477,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:52:05,0.3945720833333333,OPTIMAL,458815.8490083268,458815.84691212705,0.0020961997797712684,4.564199179090138e-13,0.0,21,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.3945720833333333, ""setup_time"": [], ""iterations"": 21, ""primal_objective_value"": 458815.8490083268, ""dual_objective_value"": 458815.84691212705, ""duality_gap"": 0.0020961997797712684, ""primal_infeasibility"": 4.564199179090138e-13, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:52:02"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": 0, ""iter"": 21, ""full_info"": {""dimacs"": [2.07415948870222e-12, 0, 7.427559379370767e-11, 0, 2.2843539974602593e-09, 2.2850365858306727e-09], ""termcode"": 0, ""iter"": 21, ""obj"": [458815.84900832496, 458815.84691212705], ""gap"": 0.0020968242825326654, ""relgap"": 2.2850365858306727e-09, ""pinfeas"": 4.564199179090138e-13, ""dinfeas"": 1.0124601930579045e-12, ""cputime"": 0.2775219999999998, ""time"": {""preproc"": 0.04472300000000029, ""pred"": 0.1324099999999997, ""pred_pstep"": 0.0070589999999999264, ""pred_dstep"": 0.009738000000000246, ""corr"": 0.02775199999999911, ""corr_pstep"": 0.004336000000001006, ""corr_dstep"": 0.007274999999999254, ""pchol"": 0.010142999999999791, ""dchol"": 0.004067000000000487, ""misc"": 0.030841000000001006}, ""resid"": [], ""reldist"": [], ""normX"": 2193.2383000259283, ""normy"": 44486.5930264087, ""normZ"": 2097.820966510168, ""normb"": 95.43262148219759, ""maxb"": 21, ""normC"": 1713.7758855447973, ""maxC"": 23.3607, ""normA"": 133.5878002264155, ""msg1"": [], ""msg2"": ""stop: max(relative gap, infeasibilities) < 1.00e-08"", ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 21, ""full_info"": {""dimacs"": [2.07415948870222e-12, 0, 7.427559379370767e-11, 0, 2.2843539974602593e-09, 2.2850365858306727e-09], ""termcode"": 0, ""iter"": 21, ""obj"": [458815.84900832496, 458815.84691212705], ""gap"": 0.0020968242825326654, ""relgap"": 2.2850365858306727e-09, ""pinfeas"": 4.564199179090138e-13, ""dinfeas"": 1.0124601930579045e-12, ""cputime"": 0.2775219999999998, ""time"": {""preproc"": 0.04472300000000029, ""pred"": 0.1324099999999997, ""pred_pstep"": 0.0070589999999999264, ""pred_dstep"": 0.009738000000000246, ""corr"": 0.02775199999999911, ""corr_pstep"": 0.004336000000001006, ""corr_dstep"": 0.007274999999999254, ""pchol"": 0.010142999999999791, ""dchol"": 0.004067000000000487, ""misc"": 0.030841000000001006}, ""resid"": [], ""reldist"": [], ""normX"": 2193.2383000259283, ""normy"": 44486.5930264087, ""normZ"": 2097.820966510168, ""normb"": 95.43262148219759, ""maxb"": 21, ""normC"": 1713.7758855447973, ""maxC"": 23.3607, ""normA"": 133.5878002264155, ""msg1"": [], ""msg2"": ""stop: max(relative gap, infeasibilities) < 1.00e-08"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3476,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:51:59,0.29538516666666664,OPTIMAL,458815.8471892872,458815.8471856168,3.6704004742205143e-06,1.6464544090790095e-10,8.198884259920561e-19,19,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.29538516666666664, ""setup_time"": [], ""iterations"": 19, ""primal_objective_value"": 458815.8471892872, ""dual_objective_value"": 458815.8471856168, ""duality_gap"": 3.6704004742205143e-06, ""primal_infeasibility"": 1.6464544090790095e-10, ""dual_infeasibility"": 8.198884259920561e-19, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:51:56"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 19, ""feasratio"": 1, ""full_info"": {""iter"": 19, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 7.482166132111937e-10, ""timing"": [0.060178712010383606, 0.21533779799938202, 0.0028464943170547485], ""wallsec"": 0.2783630043268204, ""cpusec"": 0.9100000000000001}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 19, ""feasratio"": 1, ""full_info"": {""iter"": 19, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 7.482166132111937e-10, ""timing"": [0.060178712010383606, 0.21533779799938202, 0.0028464943170547485], ""wallsec"": 0.2783630043268204, ""cpusec"": 0.9100000000000001}}, ""problem_class"": ""LP""}" +3249,scipy_linprog,scipy-1.15.3,NETLIB,netlib_truss,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:35,2.3484742641448975,OPTIMAL,458815.8471856167,,,0.0,,19184,"{""solver_solve_time"": 2.3484742641448975, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 458815.8471856167, ""scipy_nit"": 19184, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2890,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,perold,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:13,0.1504650115966797,OPTIMAL,-9269.932099895817,-9269.932096785611,-3.110206307610497e-06,17.99403174614505,6.853679559989568e-07,59,"{""solver_solve_time"": 0.136461748, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -9269.932096785611, ""solver_stats"": {""solve_time"": 0.136461748, ""num_iters"": 59, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2894,cvxpy_cvxopt,unknown,NETLIB,perold,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:25,0.10582327842712402,ERROR,,,,,,,"{""error_message"": ""ARPACK error -1: No convergence (881 iterations, 0/1 eigenvectors converged)"", ""problem_class"": ""LP""}" +2892,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,perold,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:23,0.2200300693511963,OPTIMAL (INACCURATE),-9266.201556878805,-9266.201556872973,-5.831680027768016e-09,3.8920747084564926,7.974996707341507e-06,100,"{""solver_solve_time"": 0.207456125, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -9266.201556872973, ""solver_stats"": {""solve_time"": 0.207456125, ""setup_time"": 0.00122925, ""num_iters"": 100, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-4.46888338e-07 -4.52988107e-07 -1.05251315e-07 -2.12979756e-07\n -5.77095896e-08 -7.77075091e-10 -6.60711652e-10 -7.12210074e-10\n -7.42535766e-10 1.86531136e-09 -5.22119264e-10 -5.29382771e-10\n -3.09792542e-09 -2.07745826e-02 7.96381657e-01 1.86829793e+00\n 1.86829793e+00 1.26139881e+00 -5.83068599e-02 4.69924439e-01\n 3.17273882e-01 -1.18999826e+01 -2.99314833e+00 5.50026469e-09\n -4.04248878e+01 -1.51070333e+02 -1.11501738e-03 -1.13331146e-02\n -8.30811314e+01 -1.94094167e+02 -1.18602097e-03 -7.35441987e-04\n -4.25643888e-01 -3.85068377e-02 -1.34421034e-01 5.38323573e-09\n 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""termcode"": -1, ""iter"": 49, ""obj"": [-143.83956582903548, -144.04308316404087], ""gap"": 0.21130772500592512, ""relgap"": 0.0007314656167217213, ""pinfeas"": 1.8438891253549414e-11, ""dinfeas"": 0.0019550988663908793, ""cputime"": 1.746453000000031, ""time"": {""preproc"": 0.0538179999999997, ""pred"": 1.4388500000000235, ""pred_pstep"": 0.013171000000006927, ""pred_dstep"": 0.015671999999987918, ""corr"": 0.1091650000000044, ""corr_pstep"": 0.009917000000015719, ""corr_dstep"": 0.012453999999983978, ""pchol"": 0.01863899999999319, ""dchol"": 0.006976000000008753, ""misc"": 0.06983199999998391}, ""resid"": [], ""reldist"": [], ""normX"": 13297.145276632737, ""normy"": 18974028311374.234, ""normZ"": 24777141175008.227, ""normb"": 9303.110246009493, ""maxb"": 6001, ""normC"": 1.0982916277462125, ""maxC"": 1.026239, ""normA"": 807.0599403170633, ""msg1"": [], ""msg2"": ""stop: relative gap < infeasibility"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3398,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,pilot,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:45:30,3.290814666666667,OPTIMAL,-143.97905294879513,-143.97905294458715,4.207976189718465e-09,4.098563845601642e-09,2.1103862881273885e-11,80,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 3.290814666666667, ""setup_time"": [], ""iterations"": 80, ""primal_objective_value"": -143.97905294879513, ""dual_objective_value"": -143.97905294458715, ""duality_gap"": 4.207976189718465e-09, ""primal_infeasibility"": 4.098563845601642e-09, ""dual_infeasibility"": 2.1103862881273885e-11, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:45:28"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 80, ""feasratio"": 1.0005374153794677, ""full_info"": {""iter"": 80, ""feasratio"": 1.0005374153794677, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 6.353836349642596e-09, ""timing"": [0.1163240522146225, 3.1502947211265564, 0.0037416815757751465], ""wallsec"": 3.270360454916954, ""cpusec"": 9.41}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 80, ""feasratio"": 1.0005374153794677, ""full_info"": {""iter"": 80, ""feasratio"": 1.0005374153794677, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 6.353836349642596e-09, ""timing"": [0.1163240522146225, 3.1502947211265564, 0.0037416815757751465], ""wallsec"": 3.270360454916954, ""cpusec"": 9.41}}, ""problem_class"": ""LP""}" +2898,scipy_linprog,scipy-1.15.3,NETLIB,pilot,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:07:30,1.0463671684265137,OPTIMAL,-143.97904327966336,,,0.0,,5482,"{""solver_solve_time"": 1.0463671684265137, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -143.97904327966336, ""scipy_nit"": 5482, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2926,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:23,0.03594088554382324,OPTIMAL,-3712.1648421731816,-3712.1648333332187,-8.839962902129628e-06,46.79943258099698,3.4621267138491716e-07,35,"{""solver_solve_time"": 0.028167172, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3712.1648333332187, ""solver_stats"": {""solve_time"": 0.028167172, ""num_iters"": 35, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2930,cvxpy_cvxopt,unknown,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:32,0.10292482376098633,ERROR,,,,,,,"{""error_message"": ""ARPACK error -1: No convergence (881 iterations, 0/1 eigenvectors converged)"", ""problem_class"": ""LP""}" +2928,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:30,0.08436226844787598,OPTIMAL (INACCURATE),-3711.7797385588524,-3711.7797385374597,-2.139267962775193e-08,11.629089223267147,6.177189517618865e-06,100,"{""solver_solve_time"": 0.076359375, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -3711.7797385374597, ""solver_stats"": {""solve_time"": 0.076359375, ""setup_time"": 0.00075225, ""num_iters"": 100, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-3.56999170e-08 -2.03662407e-08 -1.62493510e-08 -2.28210256e-08\n -1.19920774e-08 4.07397112e-05 4.68695383e-05 6.35096004e-05\n 6.87244380e-05 4.95236698e-10 1.30257818e-08 3.46445189e-05\n 1.83189842e-08 -1.97967411e-11 7.58008717e-10 3.08045523e-09\n 3.06974676e-09 1.36379532e-08 -9.05300421e-11 7.80788564e-10\n 5.89992742e-09 1.42129601e-07 4.25726359e-08 7.79580103e-10\n -1.08426591e-03 -2.10779645e-04 1.44074541e-08 -1.17762976e-03\n -8.46638028e+00 -1.73169504e-03 -1.77025297e-09 -1.03589262e-10\n -3.30202121e-09 -2.61912972e-09 -1.80492969e-09 1.64889990e-11\n 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6.22879371e+04]"", ""z"": ""[4.31942147e+02 8.15995773e+02 1.85601641e+03 ... 2.31087009e+03\n 4.74647329e-04 9.60569234e+01]"", ""s"": ""[4.95361890e-11 2.62280487e-11 1.15333490e-11 ... 9.33940784e-12\n 4.35103802e-05 2.22904777e-10]"", ""info"": {""exitFlag"": 10, ""pcost"": 3711.7797385374583, ""dcost"": 3711.779738558852, ""pres"": 7.381952168191797e-08, ""dres"": 2.1090489995606558e-14, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.05914835236471209, ""dinfres"": NaN, ""gap"": 1.1615506351965597e-05, ""relgap"": 3.1293630468696596e-09, ""r0"": 1e-08, ""iter"": 100, ""mi_iter"": -1, ""infostring"": ""Close to optimal solution found"", ""timing"": {""runtime"": 0.07711162499999999, ""tsetup"": 0.00075225, ""tsolve"": 0.076359375}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2933,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:34,0.023590087890625,OPTIMAL,-3712.1651465649084,-3712.165146564911,2.7284841053187847e-12,156.1215194576481,3.7986363554784654e-14,591,"{""solver_solve_time"": 0.014509998261928558, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3712.165146564911, ""solver_stats"": {""solve_time"": 0.014509998261928558, ""num_iters"": 591, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2929,cvxpy_osqp,unknown,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:31,0.3615429401397705,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2932,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:33,0.05733776092529297,OPTIMAL,-3712.1651465642517,-3712.1651465645996,3.4788172342814505e-10,137.75322818009923,6.400775000771978e-13,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3712.1651465645996, ""solver_stats"": 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""rejected_accel_steps"": 895, ""accepted_accel_steps"": 9, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2931,cvxpy_sdpa,unknown,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:32,0.06896400451660156,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3405,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:46:07,1.29803,MAX_ITER,-8.001991970570343,-143983007.77627358,143982999.77428162,4.7895813284817415,0.5180001855168307,100,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""max_iter"", ""solve_time"": 1.29803, ""setup_time"": [], ""iterations"": 100, ""primal_objective_value"": -8.001991970570343, ""dual_objective_value"": -143983007.77627358, ""duality_gap"": 143982999.77428162, ""primal_infeasibility"": 4.7895813284817415, ""dual_infeasibility"": 0.5180001855168307, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Maximum number of iterations reached"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:46:06"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -6, ""iter"": 100, ""full_info"": {""dimacs"": [14.625400192059494, 0, 4.936242886723654, 0, 0.99999988190285, 0.001237084756179491], ""termcode"": -6, ""iter"": 100, ""obj"": [-8.001991970570343, -143983007.7762736], ""gap"": 178119.19520512823, ""relgap"": 0.002474169495175223, ""pinfeas"": 14.625400192059494, ""dinfeas"": 4.936242886723654, ""cputime"": 1.126616000000002, ""time"": {""preproc"": 0.05058899999999955, ""pred"": 0.7542160000000004, ""pred_pstep"": 0.016382999999996706, ""pred_dstep"": 0.0158839999999989, ""corr"": 0.15861200000000242, ""corr_pstep"": 0.010958000000000467, ""corr_dstep"": 0.006957000000000768, ""pchol"": 0.02841500000000874, ""dchol"": 0.009490999999995253, ""misc"": 0.08125299999999669}, ""resid"": [], ""reldist"": [], ""normX"": 67568.34287286908, ""normy"": 819711.6121041515, ""normZ"": 780637.5150775125, ""normA"": 1569888.1909618306, ""normb"": 120520.64200554082, ""normC"": 2.039018, ""msg1"": ""Stop: maximum number of iterations reached"", ""msg2"": [], ""model"": 2}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -6, ""iter"": 100, ""full_info"": {""dimacs"": [14.625400192059494, 0, 4.936242886723654, 0, 0.99999988190285, 0.001237084756179491], ""termcode"": -6, ""iter"": 100, ""obj"": [-8.001991970570343, -143983007.7762736], ""gap"": 178119.19520512823, ""relgap"": 0.002474169495175223, ""pinfeas"": 14.625400192059494, ""dinfeas"": 4.936242886723654, ""cputime"": 1.126616000000002, ""time"": {""preproc"": 0.05058899999999955, ""pred"": 0.7542160000000004, ""pred_pstep"": 0.016382999999996706, ""pred_dstep"": 0.0158839999999989, ""corr"": 0.15861200000000242, ""corr_pstep"": 0.010958000000000467, ""corr_dstep"": 0.006957000000000768, ""pchol"": 0.02841500000000874, ""dchol"": 0.009490999999995253, ""misc"": 0.08125299999999669}, ""resid"": [], ""reldist"": [], ""normX"": 67568.34287286908, ""normy"": 819711.6121041515, ""normZ"": 780637.5150775125, ""normA"": 1569888.1909618306, ""normb"": 120520.64200554082, ""normC"": 2.039018, ""msg1"": ""Stop: maximum number of iterations reached"", ""msg2"": [], ""model"": 2}}, ""problem_class"": ""LP""}" +3404,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:46:02,0.7088500833333333,OPTIMAL (INACCURATE),-2581.1542679891,-2581.15424280947,2.5179630029015243e-05,1.4437041872616994e-06,1.964666472962477e-14,58,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal (inaccurate)"", ""solve_time"": 0.7088500833333333, ""setup_time"": [], ""iterations"": 58, ""primal_objective_value"": -2581.1542679891, ""dual_objective_value"": -2581.15424280947, ""duality_gap"": 2.5179630029015243e-05, ""primal_infeasibility"": 1.4437041872616994e-06, ""dual_infeasibility"": 1.964666472962477e-14, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Numerical problems warning (low accuracy)"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:46:00"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""iter"": 58, ""feasratio"": 1.003014418753117, ""full_info"": {""iter"": 58, ""feasratio"": 1.003014418753117, ""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""r0"": 4.407629950653144e-06, ""timing"": [0.07083043456077576, 0.609884038567543, 0.007644295692443848], ""wallsec"": 0.6883587688207626, ""cpusec"": 2.41}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""iter"": 58, ""feasratio"": 1.003014418753117, ""full_info"": {""iter"": 58, ""feasratio"": 1.003014418753117, ""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""r0"": 4.407629950653144e-06, ""timing"": [0.07083043456077576, 0.609884038567543, 0.007644295692443848], ""wallsec"": 0.6883587688207626, ""cpusec"": 2.41}}, ""problem_class"": ""LP""}" +2925,scipy_linprog,scipy-1.15.3,NETLIB,pilot4,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:22,0.02072596549987793,OPTIMAL,-3712.165146564907,,,0.0,,547,"{""solver_solve_time"": 0.02072596549987793, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -3712.165146564907, ""scipy_nit"": 547, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2935,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:45,5.070364236831665,OPTIMAL,301.7222245930567,301.7222245616472,3.14095132125658e-08,4.1670200596624645e-12,1.4378142457394452e-08,118,"{""solver_solve_time"": 4.860666916, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 301.7222245616472, ""solver_stats"": {""solve_time"": 4.860666916, ""num_iters"": 118, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2939,cvxpy_cvxopt,unknown,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:14:54,120.0,TIMEOUT,,,,,,,"{""timeout_duration"": 120.0, ""problem_class"": ""LP""}" +2937,cvxpy_ecos,unknown,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:12:42,6.691181898117065,ERROR,,,,,,,"{""error_message"": ""Solver 'ECOS' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2942,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:13,3.404390335083008,OPTIMAL,301.7115651331116,301.71156513310956,2.0463630789890885e-12,8.163918747491553e-15,5.945241996889685e-16,8410,"{""solver_solve_time"": 3.220902042463422, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 301.71156513310956, ""solver_stats"": {""solve_time"": 3.220902042463422, ""num_iters"": 8410, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2938,cvxpy_osqp,unknown,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:12:53,9.956794261932373,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2941,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:08,8.07190489768982,OPTIMAL,301.7122088541155,301.71220885413516,-1.9667822925839573e-11,0.6157047312690169,5.302406361520924e-09,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 301.71220885413516, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2936,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:12:34,107.73370695114136,OPTIMAL (INACCURATE),311.7115524522709,315.9251748943826,-4.213622442111728,4.57609432431274e-08,1.706441293465937e-05,100000,"{""solver_solve_time"": 107.481592458, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 315.9251748943826, ""solver_stats"": {""solve_time"": 107.481592458, ""setup_time"": 0.072454458, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-6.52394642e-04 -8.59963575e-04 -5.61857059e-03 ... 9.23408930e-09\n 8.43427367e-09 6.75267969e-09]"", ""y"": ""[8.64020715 9.19721639 9.89371946 ... 1.4359361 2.37056898 4.56550281]"", ""s"": ""[0. 0. 0. ... 0. 0. 0.]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 3, ""scale"": 7.206258995123194, ""pobj"": -315.9251748943827, ""dobj"": -311.71155245227095, ""res_pri"": 0.0016852629820391298, ""res_dual"": 0.0010200331334188014, ""gap"": 4.213622442111693, ""res_infeas"": NaN, ""res_unbdd_a"": 0.010433673091374005, ""res_unbdd_p"": 0.0, ""comp_slack"": 2.8985945019510493e-07, ""solve_time"": 107481.592458, ""setup_time"": 72.454458, ""lin_sys_time"": 101534.52087199828, ""cone_time"": 2195.7697439999342, ""accel_time"": 526.1852860001361, ""rejected_accel_steps"": 907, ""accepted_accel_steps"": 0, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2940,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:14:59,3.554503917694092,INFEASIBLE,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""infeasible"", ""cvxpy_value"": -Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3407,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:46:30,7.065555791666666,OPTIMAL,301.7115653111177,301.7115649897908,3.213268655599677e-07,1.949617651030112e-12,2.986132439105142e-22,83,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 7.065555791666666, ""setup_time"": [], ""iterations"": 83, ""primal_objective_value"": 301.7115653111177, ""dual_objective_value"": 301.7115649897908, ""duality_gap"": 3.213268655599677e-07, ""primal_infeasibility"": 1.949617651030112e-12, ""dual_infeasibility"": 2.986132439105142e-22, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:46:28"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": 0, ""iter"": 83, ""full_info"": {""dimacs"": [4.640541776278346e-12, 0, 3.445738648306057e-13, 0, 5.31626633537644e-10, 6.306956005409979e-10], ""termcode"": 0, ""iter"": 83, ""obj"": [301.71156531111757, 301.71156498979013], ""gap"": 3.812070091460008e-07, ""relgap"": 1.25930771411569e-09, ""pinfeas"": 4.640541776278346e-12, ""dinfeas"": 3.445738648306057e-13, ""cputime"": 6.875207, ""time"": {""preproc"": 0.08877100000000127, ""pred"": 6.145745999999999, ""pred_pstep"": 0.025641000000007352, ""pred_dstep"": 0.02572899999999123, ""corr"": 0.3898100000000042, ""corr_pstep"": 0.017812999999982537, ""corr_dstep"": 0.01171300000001807, ""pchol"": 0.0325710000000079, ""dchol"": 0.009858999999977414, ""misc"": 0.13387600000001143}, ""resid"": [], ""reldist"": [], ""normX"": 62819.43653032872, ""normy"": 17014.748150253283, ""normZ"": 24134.497998877596, ""normA"": 92693.54511316202, ""normb"": 39214.444723230714, ""normC"": 11.680296381106567, ""msg1"": ""Stop: max(relative gap,infeasibilities) < 1.00e-08"", ""msg2"": [], ""model"": 2}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 83, ""full_info"": {""dimacs"": [4.640541776278346e-12, 0, 3.445738648306057e-13, 0, 5.31626633537644e-10, 6.306956005409979e-10], ""termcode"": 0, ""iter"": 83, ""obj"": [301.71156531111757, 301.71156498979013], ""gap"": 3.812070091460008e-07, ""relgap"": 1.25930771411569e-09, ""pinfeas"": 4.640541776278346e-12, ""dinfeas"": 3.445738648306057e-13, ""cputime"": 6.875207, ""time"": {""preproc"": 0.08877100000000127, ""pred"": 6.145745999999999, ""pred_pstep"": 0.025641000000007352, ""pred_dstep"": 0.02572899999999123, ""corr"": 0.3898100000000042, ""corr_pstep"": 0.017812999999982537, ""corr_dstep"": 0.01171300000001807, ""pchol"": 0.0325710000000079, ""dchol"": 0.009858999999977414, ""misc"": 0.13387600000001143}, ""resid"": [], ""reldist"": [], ""normX"": 62819.43653032872, ""normy"": 17014.748150253283, ""normZ"": 24134.497998877596, ""normA"": 92693.54511316202, ""normb"": 39214.444723230714, ""normC"": 11.680296381106567, ""msg1"": ""Stop: max(relative gap,infeasibilities) < 1.00e-08"", ""msg2"": [], ""model"": 2}}, ""problem_class"": ""LP""}" +3406,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:46:17,3.74267275,OPTIMAL,301.71156359264796,301.71156359308395,4.3598902266239747e-10,3.5741739121820083e-09,8.057937971370922e-14,74,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 3.74267275, ""setup_time"": [], ""iterations"": 74, ""primal_objective_value"": 301.71156359264796, ""dual_objective_value"": 301.71156359308395, ""duality_gap"": 4.3598902266239747e-10, ""primal_infeasibility"": 3.5741739121820083e-09, ""dual_infeasibility"": 8.057937971370922e-14, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:46:15"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 74, ""feasratio"": 1.0000170263308168, ""full_info"": {""iter"": 74, ""feasratio"": 1.0000170263308168, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 8.507278955696833e-09, ""timing"": [0.15527978539466858, 3.564665839076042, 0.0036109238862991333], ""wallsec"": 3.72355654835701, ""cpusec"": 8.93}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 74, ""feasratio"": 1.0000170263308168, ""full_info"": {""iter"": 74, ""feasratio"": 1.0000170263308168, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 8.507278955696833e-09, ""timing"": [0.15527978539466858, 3.564665839076042, 0.0036109238862991333], ""wallsec"": 3.72355654835701, ""cpusec"": 8.93}}, ""problem_class"": ""LP""}" +2934,scipy_linprog,scipy-1.15.3,NETLIB,pilot87,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:38,3.0696630477905273,OPTIMAL,301.71156513310814,,,0.0,,9695,"{""solver_solve_time"": 3.0696630477905273, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 301.71156513310814, ""scipy_nit"": 9695, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2908,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:43,0.578869104385376,OPTIMAL,-6117.2366028387905,-6117.236597084007,-5.7547831602278166e-06,23.1808745310669,3.952019499266453e-06,51,"{""solver_solve_time"": 0.553839833, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -6117.236597084007, ""solver_stats"": {""solve_time"": 0.553839833, ""num_iters"": 51, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2912,cvxpy_cvxopt,unknown,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:00,0.11889314651489258,ERROR,,,,,,,"{""error_message"": ""ARPACK error -1: No convergence (881 iterations, 0/1 eigenvectors converged)"", ""problem_class"": ""LP""}" +2910,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:57,0.42745399475097656,OPTIMAL (INACCURATE),-6104.277611451466,-6104.277606402623,-5.048843377153389e-06,6.082950120390969,3.0649257556035605e-05,100,"{""solver_solve_time"": 0.39712425, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -6104.277606402623, ""solver_stats"": {""solve_time"": 0.39712425, ""setup_time"": 0.00288175, ""num_iters"": 100, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-2.14705281e-02 -1.00296272e-06 -1.58271647e-06 ... -5.31209854e+01\n -5.41359132e+01 -5.40812063e+01]"", ""y"": ""[ 4.89993683e-01 6.27890587e-08 -1.60176649e+01 3.37042436e-03\n -1.08551129e+00 -1.29996339e+01 -3.48359355e-09 -9.65506389e-07\n 1.66556571e-07 6.31049584e-07 -1.00368660e-03 -1.29183917e-02\n 8.22087636e-01 -5.29949884e+01 7.99855063e+01 -9.65917606e-01\n -1.86726676e-01 -2.60928017e-01 1.63771076e-01 2.43512004e+00\n -1.27390558e-01 2.48424585e-02 2.35795479e-01 2.22920648e-01\n 2.08405986e-01 -6.45934394e-03 -6.45904773e-03 3.32102687e+03\n 1.84816209e+02 -6.92766980e+02 1.07765850e-03 -1.91431299e+01\n -8.11971494e+02 -5.31365423e+02 -2.88670373e+02 2.56090113e+02\n -2.62999880e+01 -2.19352311e-01 -5.74784007e+00 -2.23080753e-02\n -2.88515774e+00 3.07102059e+03 -2.56737028e+02 -9.85435073e+02\n 1.68303986e-04 -3.31611440e+01 -6.69558935e+02 -3.02731401e+02\n -5.87153585e+01 9.64787271e+01 2.95902272e+02 -1.68000000e+02\n -1.72179292e+01 -1.85739523e+01 4.88660632e+02 -2.99206867e+01\n 6.91495092e+02 -1.26080546e+02 1.18704168e+02 3.97044927e+01\n 6.23189008e+00 -2.06277719e-02 -2.50244866e+01 -1.57724791e+00\n 8.54306573e-07 -8.91133308e+01 -3.04796096e-05 6.43243620e+00\n -8.98595634e-06 5.35821333e+03 -4.94460691e+02 -9.21265590e+02\n -4.71401874e+02 4.53686214e+00 -1.98722499e+00 -1.98734432e+01\n 6.42118745e+01 -1.23064232e+02 2.43946008e+01 1.52237003e+01\n 4.95582822e+00 1.57767188e+02 1.58275120e+02 1.58346510e+02\n -4.60546972e+02 6.09086869e+01 6.17167400e+01 1.34605260e+02]"", ""z"": ""[9.08392025e-08 1.09830038e-07 1.10577892e-07 ... 9.17126822e-08\n 9.00493819e-08 9.01301673e-08]"", ""s"": ""[53.63653622 41.32092406 42.32172481 ... 53.12098538 54.13591323\n 54.08120626]"", ""info"": {""exitFlag"": 10, ""pcost"": 6104.277606402623, ""dcost"": 6104.277611451466, ""pres"": 1.1149569664584932e-07, ""dres"": 7.375628529475716e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.3603746256224731, ""dinfres"": NaN, ""gap"": 0.019416483168846133, ""relgap"": 3.1807994990957347e-06, ""r0"": 1e-08, ""iter"": 100, ""mi_iter"": -1, ""infostring"": ""Close to optimal solution found"", ""timing"": {""runtime"": 0.40000600000000003, ""tsetup"": 0.00288175, ""tsolve"": 0.39712425}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2915,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:03,0.11710000038146973,OPTIMAL,-6117.9325446419825,-6117.9325446420025,2.000888343900442e-11,0.25068725200126485,1.163613482458095e-08,1799,"{""solver_solve_time"": 0.08991020917892456, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -6117.9325446420025, ""solver_stats"": {""solve_time"": 0.08991020917892456, ""num_iters"": 1799, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2911,cvxpy_osqp,unknown,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:59,1.3891499042510986,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2914,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:02,0.7777700424194336,OPTIMAL,-6117.931843164731,-6117.931843164747,1.6370904631912708e-11,44.91814184710251,3.508752023189669e-08,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -6117.931843164747, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2909,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:56,12.51965618133545,OPTIMAL,-3168.7071270854385,-3168.715811918606,0.008684833167535544,2.777069261058352,43.36089332227986,72275,"{""solver_solve_time"": 12.488973958, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3168.715811918606, ""solver_stats"": {""solve_time"": 12.488973958, ""setup_time"": 0.006318, ""num_iters"": 72275, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-3.31550652e-02 1.57067557e+00 -1.13150135e-02 ... -3.39760626e+08\n -4.91074102e+08 -2.94011362e+08]"", ""y"": ""[ 4.76649494e-01 3.40714548e-10 -2.16454833e+00 ... 0.00000000e+00\n 0.00000000e+00 0.00000000e+00]"", ""s"": ""[0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 3.39760626e+08\n 4.91074102e+08 2.94011362e+08]"", ""info"": {""status_val"": 1, ""iter"": 72275, ""scale_updates"": 4, ""scale"": 1e-06, ""pobj"": 3168.715811917902, ""dobj"": 3168.7071270854394, ""res_pri"": 275.6558808856849, ""res_dual"": 0.040313905082076974, ""gap"": 0.008684832462701542, ""res_infeas"": 44.030122390081594, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 1.266889625073468e-13, ""solve_time"": 12488.973958, ""setup_time"": 6.318, ""lin_sys_time"": 11299.179946999782, ""cone_time"": 318.0136379999671, ""accel_time"": 133.44706599999023, ""rejected_accel_steps"": 650, ""accepted_accel_steps"": 31, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +2913,cvxpy_sdpa,unknown,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:01,0.17641806602478027,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3401,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:45:48,0.19343741666666667,STALLED,-7182994.26394271,0.0,7182994.26394271,32796888.21062831,0.39189098430290964,1,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""stalled"", ""solve_time"": 0.19343741666666667, ""setup_time"": [], ""iterations"": 1, ""primal_objective_value"": -7182994.26394271, ""dual_objective_value"": 0, ""duality_gap"": 7182994.26394271, ""primal_infeasibility"": 32796888.21062831, ""dual_infeasibility"": 0.39189098430290964, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Lack of progress in predictor or corrector"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:45:46"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -2, ""iter"": 1, ""full_info"": {""dimacs"": [63522933.72543058, 0, 191883764.65243062, 0, -0.9999998607823111, 4546049395.416161], ""termcode"": -2, ""iter"": 1, ""obj"": [-7182994.26394271, 0], ""gap"": 3.2654251276923904e+16, ""relgap"": 9092097525.051517, ""pinfeas"": 63522933.72543058, ""dinfeas"": 191883764.65243062, ""cputime"": 0.09854400000000396, ""time"": {""preproc"": 0.04829999999999757, ""pred"": 0.046521000000005586, ""pred_pstep"": 0.0016150000000010323, ""pred_dstep"": 0.0006049999999930833, ""corr"": 0, ""corr_pstep"": 0, ""corr_dstep"": 0, ""pchol"": 0, ""dchol"": 0, ""misc"": 0.0017750000000020805}, ""resid"": [], ""reldist"": [], ""normX"": 74190519.63304769, ""normy"": 0, ""normZ"": 440140484.7739864, ""normA"": 440774297.7786893, ""normb"": 270228.6593799445, ""normC"": 2.068223250110345, ""msg1"": ""stop: steps in predictor too short"", ""msg2"": [], ""model"": 2}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -2, ""iter"": 1, ""full_info"": {""dimacs"": [63522933.72543058, 0, 191883764.65243062, 0, -0.9999998607823111, 4546049395.416161], ""termcode"": -2, ""iter"": 1, ""obj"": [-7182994.26394271, 0], ""gap"": 3.2654251276923904e+16, ""relgap"": 9092097525.051517, ""pinfeas"": 63522933.72543058, ""dinfeas"": 191883764.65243062, ""cputime"": 0.09854400000000396, ""time"": {""preproc"": 0.04829999999999757, ""pred"": 0.046521000000005586, ""pred_pstep"": 0.0016150000000010323, ""pred_dstep"": 0.0006049999999930833, ""corr"": 0, ""corr_pstep"": 0, ""corr_dstep"": 0, ""pchol"": 0, ""dchol"": 0, ""misc"": 0.0017750000000020805}, ""resid"": [], ""reldist"": [], ""normX"": 74190519.63304769, ""normy"": 0, ""normZ"": 440140484.7739864, ""normA"": 440774297.7786893, ""normb"": 270228.6593799445, ""normC"": 2.068223250110345, ""msg1"": ""stop: steps in predictor too short"", ""msg2"": [], ""model"": 2}}, ""problem_class"": ""LP""}" +3400,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:45:43,1.729317625,OPTIMAL (INACCURATE),-6114.32295649539,-6114.322422197469,0.0005342979211491183,0.00039020718496173327,1.475870237099039e-13,73,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal (inaccurate)"", ""solve_time"": 1.729317625, ""setup_time"": [], ""iterations"": 73, ""primal_objective_value"": -6114.32295649539, ""dual_objective_value"": -6114.322422197469, ""duality_gap"": 0.0005342979211491183, ""primal_infeasibility"": 0.00039020718496173327, ""dual_infeasibility"": 1.475870237099039e-13, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Numerical problems warning (low accuracy)"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:45:41"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""iter"": 73, ""feasratio"": 0.11091040736336552, ""full_info"": {""iter"": 73, ""feasratio"": 0.11091040736336552, ""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""r0"": 0.0007493934260157754, ""timing"": [0.08933767676353455, 1.6139321029186249, 0.0041037797927856445], ""wallsec"": 1.707373559474945, ""cpusec"": 5.659999999999999}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""iter"": 73, ""feasratio"": 0.11091040736336552, ""full_info"": {""iter"": 73, ""feasratio"": 0.11091040736336552, ""pinf"": 0, ""dinf"": 0, ""numerr"": 1, ""r0"": 0.0007493934260157754, ""timing"": [0.08933767676353455, 1.6139321029186249, 0.0041037797927856445], ""wallsec"": 1.707373559474945, ""cpusec"": 5.659999999999999}}, ""problem_class"": ""LP""}" +2907,scipy_linprog,scipy-1.15.3,NETLIB,pilot_ja,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:09:41,0.0954899787902832,OPTIMAL,-6117.932538570111,,,0.0,,1553,"{""solver_solve_time"": 0.0954899787902832, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -6117.932538570111, ""scipy_nit"": 1553, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2917,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:05,0.10023379325866699,OPTIMAL,-3146161.0299394256,-3146161.021855363,-0.008084062486886978,49.734100665916465,7.117336918363002e-19,59,"{""solver_solve_time"": 0.081172416, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3146161.021855363, ""solver_stats"": {""solve_time"": 0.081172416, ""num_iters"": 59, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2921,cvxpy_cvxopt,unknown,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:19,0.10788798332214355,ERROR,,,,,,,"{""error_message"": ""ARPACK error -1: No convergence (801 iterations, 0/1 eigenvectors converged)"", ""problem_class"": ""LP""}" +2919,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:17,0.11606597900390625,OPTIMAL,-3146097.5019442686,-3146097.5013822066,-0.0005620620213449001,27.322670771886866,1.105009301886838e-15,78,"{""solver_solve_time"": 0.095648791, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3146097.5013822066, ""solver_stats"": {""solve_time"": 0.095648791, ""setup_time"": 0.001286333, ""num_iters"": 78, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-9.13755159e-07 -3.42469669e-06 -1.78465888e-07 ... -3.91245713e-06\n -5.95113880e-04 -1.08962728e+03]"", ""y"": ""[ 1.33913608e+05 3.04582416e+03 2.14893461e+03 1.17256753e+03\n 6.79503601e+02 -2.43613469e+03 3.51031823e+02 4.43653979e+02\n 3.47640921e+02 2.77703391e+02 -2.07509845e+03 9.22139043e+02\n -1.31013667e+02 2.65934345e+04 -2.58795933e+02 5.13569059e+02\n 6.11852923e+02 4.99709435e+02 -1.80129632e+03 3.34729165e+02\n 6.88428268e+00 2.16291914e+01 -6.59296303e+01 6.26027722e+01\n -1.37731417e+01 1.15590851e+02 1.15969923e+01 3.93924303e+01\n 8.81586178e+02 7.56352871e+02 1.56616363e+05 2.45657090e+02\n 2.34076476e+02 2.34569308e+02 2.30422755e+02 3.92487439e+03\n 4.26117621e+02 4.29967096e+02 2.53787945e+02 5.51261306e+00\n 6.90938886e+00 7.03842841e+00 4.49498138e+03 -5.34613849e+04\n 4.46814144e+03 4.42119683e+03 3.89873628e+03 5.33452315e+00\n 5.00809068e+00 4.38785740e+00 3.12214563e+00 4.96478938e-01\n 1.96054232e+04 4.09607521e+04 4.62861036e+03 3.24499450e+03\n 6.92492515e+03 -1.61103612e+04 -6.08729360e+01 -1.36221051e+02\n -2.00123749e+01 -2.90276148e+00 -7.89790754e-07 6.60097659e+00\n -1.01666344e-06 -1.42619331e+01 1.54414766e+04 9.39205540e+03\n 1.59469156e+03 2.21372585e+03 9.96076018e+03 -7.17801189e+02\n 1.67632182e+03 1.67632182e+03 1.67632182e+03 -2.03522225e+03\n 1.67632182e+03 1.67632182e+03 1.67632182e+03 1.67632182e+03]"", ""z"": ""[5.26201235e+03 5.26201235e+03 1.45069962e+02 ... 6.99924508e+03\n 6.83382146e+04 3.34332920e-09]"", ""s"": ""[6.92313384e-10 6.92313384e-10 2.51121452e-08 ... 5.15126041e-10\n 4.70008446e-11 1.08962728e+03]"", ""info"": {""exitFlag"": 0, ""pcost"": 3146097.5013822066, ""dcost"": 3146097.5019442677, ""pres"": 1.1294659000149678e-09, ""dres"": 3.77751811062478e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.27054294915235444, ""dinfres"": NaN, ""gap"": 0.029924848664405274, ""relgap"": 9.511735935047123e-09, ""r0"": 1e-08, ""iter"": 78, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.096935124, ""tsetup"": 0.001286333, ""tsolve"": 0.095648791}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2924,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:21,0.09371209144592285,OPTIMAL,-3146161.018669694,-3146161.0186696947,4.656612873077393e-10,146.87344937940986,1.6473497879150937e-21,1737,"{""solver_solve_time"": 0.07553162425756454, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3146161.0186696947, ""solver_stats"": {""solve_time"": 0.07553162425756454, ""num_iters"": 1737, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2920,cvxpy_osqp,unknown,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:18,0.7248020172119141,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2923,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:21,0.3378918170928955,OPTIMAL,-3146264.6734270267,-3146161.0186696793,-103.65475734742358,397.9210217451685,1.1141181172989785e-22,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -3146161.0186696793, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2918,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:16,10.165258169174194,OPTIMAL (INACCURATE),-1544.921035403659,-3562.384084701538,2017.463049297879,3.924229516342421,6.246400636786093e-08,100000,"{""solver_solve_time"": 10.141209791, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -3562.384084701538, ""solver_stats"": {""solve_time"": 10.141209791, ""setup_time"": 0.002789625, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 1.76404436e+02 1.82354069e+02 -3.43276016e+01 ... 3.44813954e+02\n 1.19237067e+04 -2.73620186e+08]"", ""y"": ""[18019.51971048 99.89393653 365.73424861 ... 1819.78098453\n 90553.96132498 0. ]"", ""s"": ""[0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 0.00000000e+00\n 0.00000000e+00 2.73620186e+08]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 3, ""scale"": 1e-06, ""pobj"": 3562.3840886533, ""dobj"": 1544.9210354036588, ""res_pri"": 16838.6777978035, ""res_dual"": 2.04100125766817, ""gap"": 2017.463053249641, ""res_infeas"": 156.23185228877438, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 4.243710363870341e-14, ""solve_time"": 10141.209791, ""setup_time"": 2.789625, ""lin_sys_time"": 8590.677079999949, ""cone_time"": 465.4171199999937, ""accel_time"": 157.9244510000135, ""rejected_accel_steps"": 905, ""accepted_accel_steps"": 5, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2922,cvxpy_sdpa,unknown,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:20,0.13601303100585938,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3403,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:45:57,0.194008875,STALLED,-32408812028354.438,0.0,32408812028354.438,1925442.2305811937,1.1725413843743384e-06,1,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""stalled"", ""solve_time"": 0.194008875, ""setup_time"": [], ""iterations"": 1, ""primal_objective_value"": -32408812028354.438, ""dual_objective_value"": 0, ""duality_gap"": 32408812028354.438, ""primal_infeasibility"": 1925442.2305811937, ""dual_infeasibility"": 1.1725413843743384e-06, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Lack of progress in predictor or corrector"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:45:56"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -2, ""iter"": 1, ""full_info"": {""dimacs"": [3838499.5098412368, 0, 227.1794500265169, 0, -0.9999999999999691, 480.72311734787996], ""termcode"": -2, ""iter"": 1, ""obj"": [-32408812028354.43, 0], ""gap"": 1.557966514781249e+16, ""relgap"": 961.4462346957303, ""pinfeas"": 3838499.5098412368, ""dinfeas"": 227.1794500265169, ""cputime"": 0.09043600000000396, ""time"": {""preproc"": 0.05101499999999959, ""pred"": 0.03533900000000045, ""pred_pstep"": 0.0018200000000021532, ""pred_dstep"": 0.0006219999999999004, ""corr"": 0, ""corr_pstep"": 0, ""corr_dstep"": 0, ""pchol"": 0, ""dchol"": 0, ""misc"": 0.0019440000000017221}, ""resid"": [], ""reldist"": [], ""normX"": 321927334.70322394, ""normy"": 0, ""normZ"": 48394974.48135381, ""normA"": 48510689.59127767, ""normb"": 481180.2147174894, ""normC"": 852848.3628166455, ""msg1"": ""stop: steps in predictor too short"", ""msg2"": [], ""model"": 2}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -2, ""iter"": 1, ""full_info"": {""dimacs"": [3838499.5098412368, 0, 227.1794500265169, 0, -0.9999999999999691, 480.72311734787996], ""termcode"": -2, ""iter"": 1, ""obj"": [-32408812028354.43, 0], ""gap"": 1.557966514781249e+16, ""relgap"": 961.4462346957303, ""pinfeas"": 3838499.5098412368, ""dinfeas"": 227.1794500265169, ""cputime"": 0.09043600000000396, ""time"": {""preproc"": 0.05101499999999959, ""pred"": 0.03533900000000045, ""pred_pstep"": 0.0018200000000021532, ""pred_dstep"": 0.0006219999999999004, ""corr"": 0, ""corr_pstep"": 0, ""corr_dstep"": 0, ""pchol"": 0, ""dchol"": 0, ""misc"": 0.0019440000000017221}, ""resid"": [], ""reldist"": [], ""normX"": 321927334.70322394, ""normy"": 0, ""normZ"": 48394974.48135381, ""normA"": 48510689.59127767, ""normb"": 481180.2147174894, ""normC"": 852848.3628166455, ""msg1"": ""stop: steps in predictor too short"", ""msg2"": [], ""model"": 2}}, ""problem_class"": ""LP""}" +3402,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:45:53,1.05457,OPTIMAL,-2720035.1733601745,-2719494.812763407,540.3605967676267,8.642532024853765e-10,2.6909315275009678e-15,60,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 1.05457, ""setup_time"": [], ""iterations"": 60, ""primal_objective_value"": -2720035.1733601745, ""dual_objective_value"": -2719494.812763407, ""duality_gap"": 540.3605967676267, ""primal_infeasibility"": 8.642532024853765e-10, ""dual_infeasibility"": 2.6909315275009678e-15, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:45:51"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 60, ""feasratio"": 0.979849952127733, ""full_info"": {""iter"": 60, ""feasratio"": 0.979849952127733, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.722947478312242e-09, ""timing"": [0.07389821112155914, 0.9572770446538925, 0.003711506724357605], ""wallsec"": 1.0348867624998093, ""cpusec"": 3.92}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 60, ""feasratio"": 0.979849952127733, ""full_info"": {""iter"": 60, ""feasratio"": 0.979849952127733, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.722947478312242e-09, ""timing"": [0.07389821112155914, 0.9572770446538925, 0.003711506724357605], ""wallsec"": 1.0348867624998093, ""cpusec"": 3.92}}, ""problem_class"": ""LP""}" +2916,scipy_linprog,scipy-1.15.3,NETLIB,pilot_we,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:10:04,0.11569881439208984,OPTIMAL,-3146161.0186696965,,,0.0,,2483,"{""solver_solve_time"": 0.11569881439208984, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -3146161.0186696965, ""scipy_nit"": 2483, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2944,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:15,0.3111002445220947,OPTIMAL,-4497.276188388382,-4497.276188074829,-3.135528459097259e-07,3.9436255271420356e-10,1.5703304980263154e-10,22,"{""solver_solve_time"": 0.290845585, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4497.276188074829, ""solver_stats"": {""solve_time"": 0.290845585, ""num_iters"": 22, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +2948,cvxpy_cvxopt,unknown,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:54,17.403785943984985,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2946,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:33,0.10950183868408203,OPTIMAL,-4497.276188171906,-4497.276188108498,-6.340815161820501e-08,6.68060096658276e-11,4.66302176468688e-10,24,"{""solver_solve_time"": 0.087849083, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4497.276188108498, ""solver_stats"": {""solve_time"": 0.087849083, ""setup_time"": 0.00245975, ""num_iters"": 24, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-1.16064532e-10 -1.39554337e-11 3.43996139e-11 ... -1.54930336e+00\n -1.00721642e+00 -4.67080945e-09]"", ""y"": ""[]"", ""z"": ""[1.84761654e-09 1.06614198e-09 3.12822292e+00 ... 1.53378884e-09\n 2.31095520e-09 4.42287993e-01]"", ""s"": ""[1.88870154e+00 2.22202973e+00 7.28390700e-10 ... 1.54930336e+00\n 1.00721642e+00 4.67150896e-09]"", ""info"": {""exitFlag"": 0, ""pcost"": 4497.2761881085, ""dcost"": 4497.276188171907, ""pres"": 5.127410737456073e-12, ""dres"": 7.687481073728102e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.6178418063421476, ""dinfres"": NaN, ""gap"": 1.1788158290511794e-05, ""relgap"": 2.621177307614623e-09, ""r0"": 1e-08, ""iter"": 24, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.09030883299999999, ""tsetup"": 0.00245975, ""tsolve"": 0.087849083}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2951,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:57,0.0999908447265625,OPTIMAL,-4497.276188218871,-4497.2761882188715,9.094947017729282e-13,3.546429160325506e-14,1.936343842776485e-17,1563,"{""solver_solve_time"": 0.08000920712947845, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4497.2761882188715, ""solver_stats"": {""solve_time"": 0.08000920712947845, ""num_iters"": 1563, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2947,cvxpy_osqp,unknown,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:35,1.3502469062805176,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2950,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:56,0.47675299644470215,OPTIMAL,-4497.2761882188715,-4497.2761882188715,0.0,3.7320713598777933,9.180091450489929e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -4497.2761882188715, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2945,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:33,16.79501700401306,OPTIMAL (INACCURATE),-1934.996275755197,-1839.9010037183762,-95.09527203682092,0.00013600829322491079,9888.170078352814,100000,"{""solver_solve_time"": 16.767847208, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": -1839.9010037183762, ""solver_stats"": {""solve_time"": 16.767847208, ""setup_time"": 0.0059278329999999995, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 2.11278028e+02 4.03870573e+02 1.00784907e+03 ... -1.33166041e+06\n -3.32468960e+06 -5.13595352e+01]"", ""y"": ""[0. 0. 2.94351756 ... 0. 0. 0.48269166]"", ""s"": ""[1.12859124e+08 1.83548790e+08 0.00000000e+00 ... 1.33166041e+06\n 3.32468960e+06 0.00000000e+00]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 3, ""scale"": 1e-06, ""pobj"": 1839.9010027340873, ""dobj"": 1934.996275755197, ""res_pri"": 29563.43076479533, ""res_dual"": 26.09902180301905, ""gap"": 95.09527302110985, ""res_infeas"": 52.32657263678606, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 8.757149657227734e-12, ""solve_time"": 16767.847208, ""setup_time"": 5.927833, ""lin_sys_time"": 15097.607554999719, ""cone_time"": 478.37157399995004, ""accel_time"": 177.16631100003633, ""rejected_accel_steps"": 906, ""accepted_accel_steps"": 0, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +2949,cvxpy_sdpa,unknown,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:55,0.15593910217285156,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3409,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:46:41,1.006895875,MAX_ITER,-4497.276186746026,-4497.276215448309,2.8702283088932745e-05,6.332989728136203e-12,0.0,41,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""max_iter"", ""solve_time"": 1.006895875, ""setup_time"": [], ""iterations"": 41, ""primal_objective_value"": -4497.276186746026, ""dual_objective_value"": -4497.276215448309, ""duality_gap"": 2.8702283088932745e-05, ""primal_infeasibility"": 6.332989728136203e-12, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Relative gap < infeasibility"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:46:39"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -1, ""iter"": 41, ""full_info"": {""dimacs"": [1.5913091764158165e-11, 0, 0.00014857042741875067, 0, 3.1907192461506353e-09, 3.948973579922197e-09], ""termcode"": -1, ""iter"": 41, ""obj"": [-4497.276186746027, -4497.276215448309], ""gap"": 3.552319877307108e-05, ""relgap"": 3.948973579922197e-09, ""pinfeas"": 6.332989728136203e-12, ""dinfeas"": 7.264802439199857e-05, ""cputime"": 0.8697280000000234, ""time"": {""preproc"": 0.04793099999999839, ""pred"": 0.6693150000000472, ""pred_pstep"": 0.009351999999971383, ""pred_dstep"": 0.010002000000007172, ""corr"": 0.049027000000030796, ""corr_pstep"": 0.0054009999999919955, ""corr_dstep"": 0.008258000000004984, ""pchol"": 0.014586999999998795, ""dchol"": 0.005881999999957088, ""misc"": 0.05177800000002719}, ""resid"": [], ""reldist"": [], ""normX"": 487450.2701666573, ""normy"": 2654400997669.289, ""normZ"": 3728046118216.446, ""normb"": 254420.73635400573, ""maxb"": 101252.72535560002, ""normC"": 3.865185738655349, ""maxC"": 1.8900000000000001, ""normA"": 23627490.29911068, ""msg1"": [], ""msg2"": ""stop: relative gap < infeasibility"", ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -1, ""iter"": 41, ""full_info"": {""dimacs"": [1.5913091764158165e-11, 0, 0.00014857042741875067, 0, 3.1907192461506353e-09, 3.948973579922197e-09], ""termcode"": -1, ""iter"": 41, ""obj"": [-4497.276186746027, -4497.276215448309], ""gap"": 3.552319877307108e-05, ""relgap"": 3.948973579922197e-09, ""pinfeas"": 6.332989728136203e-12, ""dinfeas"": 7.264802439199857e-05, ""cputime"": 0.8697280000000234, ""time"": {""preproc"": 0.04793099999999839, ""pred"": 0.6693150000000472, ""pred_pstep"": 0.009351999999971383, ""pred_dstep"": 0.010002000000007172, ""corr"": 0.049027000000030796, ""corr_pstep"": 0.0054009999999919955, ""corr_dstep"": 0.008258000000004984, ""pchol"": 0.014586999999998795, ""dchol"": 0.005881999999957088, ""misc"": 0.05177800000002719}, ""resid"": [], ""reldist"": [], ""normX"": 487450.2701666573, ""normy"": 2654400997669.289, ""normZ"": 3728046118216.446, ""normb"": 254420.73635400573, ""maxb"": 101252.72535560002, ""normC"": 3.865185738655349, ""maxC"": 1.8900000000000001, ""normA"": 23627490.29911068, ""msg1"": [], ""msg2"": ""stop: relative gap < infeasibility"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3408,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:46:36,1.7411054166666666,OPTIMAL,-4489.218288701378,-4773.525815198966,284.3075264975878,3.777589909328728e-09,0.0,78,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 1.7411054166666666, ""setup_time"": [], ""iterations"": 78, ""primal_objective_value"": -4489.218288701378, ""dual_objective_value"": -4773.525815198966, ""duality_gap"": 284.3075264975878, ""primal_infeasibility"": 3.777589909328728e-09, ""dual_infeasibility"": 0, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:46:34"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 78, ""feasratio"": -0.14415843634323472, ""full_info"": {""iter"": 78, ""feasratio"": -0.14415843634323472, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1e-08, ""timing"": [0.07853507995605469, 1.635768637061119, 0.0038724392652511597], ""wallsec"": 1.718176156282425, ""cpusec"": 4.829999999999999}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 78, ""feasratio"": -0.14415843634323472, ""full_info"": {""iter"": 78, ""feasratio"": -0.14415843634323472, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1e-08, ""timing"": [0.07853507995605469, 1.635768637061119, 0.0038724392652511597], ""wallsec"": 1.718176156282425, ""cpusec"": 4.829999999999999}}, ""problem_class"": ""LP""}" +2943,scipy_linprog,scipy-1.15.3,NETLIB,pilotnov,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:14,0.10629606246948242,OPTIMAL,-4497.2761882188715,,,0.0,,1831,"{""solver_solve_time"": 0.10629606246948242, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -4497.2761882188715, ""scipy_nit"": 1831, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +2953,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,recipe,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 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3.99999968e-03\n 5.04167257e-01 4.00000013e-03 1.17817550e-11 5.72710516e-12\n 2.55388089e-12 6.08680235e-12 3.34798099e-12 5.40505239e-12\n 4.08008261e-12 2.86902945e-12 5.02567874e-01 5.44721785e-12\n 8.85977169e-13 2.09388903e-12 2.53580521e-12 9.20190332e-12\n 1.51204346e-03 1.51546326e-11 3.99999996e-03 2.60363466e-01\n 3.99999999e-03 5.04167441e-01 4.00000012e-03 1.17817550e-11\n 5.72710515e-12 2.55388089e-12 6.08680230e-12 3.34798098e-12\n 5.40505237e-12 4.08008261e-12 2.94148037e-12 5.02567971e-01\n 5.44721782e-12 7.61501935e-14 2.09388902e-12 2.76069067e-12\n 9.20190331e-12 1.51204344e-03 1.51546326e-11 3.99999996e-03\n 2.60363482e-01 6.57964447e-11 5.04167538e-01 4.00000012e-03\n 1.13318975e-11 5.72710514e-12 1.90600000e+00 1.90297591e+00\n 1.90600000e+00 1.89644493e+00 5.21753586e-01 4.01213721e-01\n 4.34223093e-01 1.89400000e+00 7.88521278e-01 1.90600000e+00\n 2.51363268e-01 2.26793201e+00 2.25478467e+00 2.26892368e+00\n 2.25180897e+00 6.93805470e-01 7.90057976e-01 5.94578776e-01\n 2.24865720e+00 9.75751814e-01 2.27007954e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": 266.2920000160695, ""dcost"": 266.29200003650686, ""pres"": 3.2847936371722345e-13, ""dres"": 1.0812000701301106e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.852852674388207, ""dinfres"": NaN, ""gap"": 1.9643715680051724e-06, ""relgap"": 7.376757723611187e-09, ""r0"": 1e-08, ""iter"": 12, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.000847458, ""tsetup"": 7.4375e-05, ""tsolve"": 0.000773083}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2960,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,recipe,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:02,0.0030829906463623047,OPTIMAL,-266.29200000000003,-266.292,-5.684341886080802e-14,0.0,2.021509786388096e-17,24,"{""solver_solve_time"": 0.0006524994969367981, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -266.292, ""solver_stats"": {""solve_time"": 0.0006524994969367981, ""num_iters"": 24, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2956,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,recipe,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:59,0.005832195281982422,OPTIMAL,-266.2929194510166,-266.2924300452022,-0.0004894058143918301,7.641065063317544e-08,2.1806826339916493e-07,575,"{""solver_solve_time"": 0.003206332, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -266.2924300452022, ""solver_stats"": {""solve_time"": 0.003206332, ""num_iters"": 575, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.70103203e-01,\n -1.99999961e+00, -2.00000000e+00, -1.99999978e+00, -2.00000000e+00,\n -5.10802838e-01, -6.01596593e-01, -1.13411625e+00, -1.99999319e+00,\n -1.08838219e-02, -2.00000050e+00, 1.27050821e-01, -2.00199915e+00,\n -2.00200000e+00, -2.00199951e+00, -2.00068909e+00, -5.60625868e-01,\n -5.99596593e-01, -8.62485659e-01, -1.99798517e+00, -2.06100218e-02,\n -2.00200108e+00, 8.39983751e-02, -2.00399870e+00, -2.00283000e+00,\n -2.00399925e+00, -1.99868909e+00, -6.10453617e-01, -5.97596593e-01,\n -5.90838736e-01, -1.99597716e+00, -3.03330055e-02, -2.00400166e+00,\n 4.20454947e-02, -2.00599824e+00, -2.00366000e+00, -2.00599899e+00,\n -1.99668909e+00, -6.60283609e-01, -5.99596593e-01, -3.19181508e-01,\n -1.99396914e+00, -1.92863609e+00, -2.00600225e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -2.05067307e-01,\n -1.94499481e-07, -6.38123375e-16, -1.11378030e-07, -2.18115190e-11,\n -1.54187518e+00, -1.39840341e+00, -1.14647514e+00, -3.40493119e-06,\n -3.24573800e-18, 2.48108380e-07, 3.44881469e-08, 3.20251228e-16,\n 1.97492648e-08, -1.09058905e-11, -2.32408899e-16, 6.39492944e-14,\n -5.72031903e-01, -4.00868960e-06, -8.40153978e-17, -4.39939399e-08,\n 1.13168596e-16, -2.28986940e-07, -3.63586977e-16, -1.31126902e-07,\n -1.31091185e-03, -3.96995202e-01, -4.00000000e-03, -5.74431898e-01,\n -4.00862114e-03, 2.15692739e-16, 2.92101443e-07, 3.44878813e-08,\n -2.08423096e-16, 1.97491123e-08, -3.15150446e-11, -1.49884416e-16,\n 6.35717400e-14, -5.72027591e-01, -4.00865872e-06, -8.43654946e-17,\n -4.39936003e-08, -6.66981661e-17, -2.28985176e-07, -1.17000165e-03,\n -1.31125892e-07, -4.00000007e-03, -3.96979826e-01, -4.00000000e-03,\n -5.74427585e-01, -4.00862108e-03, 2.14409497e-16, 2.92099193e-07,\n 3.44874731e-08, -5.20614905e-16, 1.97488782e-08, -3.15150460e-11,\n -9.12950509e-18, -2.28154125e-14, -5.72024637e-01, -4.00861114e-06,\n 6.12986401e-16, -4.39930778e-08, -2.22071074e-17, -2.28982458e-07,\n -1.16999878e-03, -1.31124336e-07, -4.00000007e-03, -3.96970470e-01,\n 6.39050148e-14, -5.74424631e-01, -4.00862097e-03, 7.69699331e-17,\n 2.92095726e-07, -1.90599810e+00, -1.90366000e+00, -1.90599891e+00,\n -1.89668909e+00, -6.38877952e-01, -4.99596593e-01, -4.53223318e-01,\n -1.89396681e+00, -1.83407793e+00, -1.90600242e+00, -8.67615330e-03,\n -2.16894868e+00, -2.12205887e+00, -2.16799171e+00, -2.10630570e+00,\n -9.02973809e-01, -8.98782831e-01, -6.93222758e-01, -2.10390733e+00,\n -2.03407709e+00, -2.15612873e+00]), y=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.00000260e+01, 2.00000000e+01,\n 2.00000138e+01, 2.00000000e+01, 1.61313661e-14, 2.00000000e+01,\n -2.13147199e-14, 2.00004727e+01, 0.00000000e+00, 1.99999654e+01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.00000000e+00, 0.00000000e+00,\n 1.50005566e+01, 1.61979805e-16, 0.00000000e+00, 0.00000000e+00,\n 1.00000306e+01, 1.50000000e+01, 1.00000162e+01, 1.50000000e+01,\n 0.00000000e+00, 8.00000000e+00, 0.00000000e+00, 2.99991617e+00,\n -1.39461607e-16, 9.99995929e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.00000001e+00,\n 5.03853159e-16, 5.00000000e+00, 0.00000000e+00, 1.20005566e+01,\n 1.61979805e-16, 0.00000000e+00, 7.19070131e-17, 1.00000306e+01,\n 1.50000000e+01, 1.00000162e+01, 1.00000000e+01, 4.03082527e-15,\n 5.00000000e+00, 4.03082527e-15, 2.99991617e+00, -1.34983170e-16,\n 9.99995929e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.00000001e+00, 0.00000000e+00,\n 7.49307119e-33, 0.00000000e+00, 1.20005565e+01, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.00000306e+01, 1.50000000e+01,\n 1.00000162e+01, 1.00000000e+01, 0.00000000e+00, 1.00000000e+01,\n 4.03082527e-15, 2.99991618e+00, 0.00000000e+00, 9.99995929e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.00000177e+01, 2.00000000e+01,\n 2.00000094e+01, 2.00000000e+01, 0.00000000e+00, 2.00000000e+01,\n 0.00000000e+00, 2.00003227e+01, -1.11569285e-15, 1.99999764e+01,\n 0.00000000e+00, -2.69966341e-15, -5.75760172e-16, 1.07986536e-15,\n 7.10743342e-16, 0.00000000e+00, 4.03082527e-15, 0.00000000e+00,\n -4.02867814e-16, 0.00000000e+00, 2.23138571e-15, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 7.19999740e+01, 1.90000000e+01, 6.69999862e+01,\n 8.99999999e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 7.99952727e+00, 2.00000000e+01, 5.10000346e+01, 1.30000005e+02,\n 4.50000000e+01, 5.30000024e+01, 5.50000000e+01, 7.50000000e+01,\n 1.10000000e+02, 0.00000000e+00, 5.79994434e+01, 4.80000000e+02,\n 1.53999994e+02, 1.21000000e+02, 2.99999694e+01, 1.00000000e+01,\n 5.69999838e+01, 0.00000000e+00, 0.00000000e+00, 3.62767271e-17,\n 0.00000000e+00, -1.34983170e-17, 2.00000000e+01, 5.10000407e+01,\n 1.30000005e+02, 5.50000000e+01, 9.30000024e+01, 5.50000000e+01,\n 7.50000000e+01, 1.10000000e+02, 0.00000000e+00, 5.49994434e+01,\n 4.80000000e+02, 1.53999994e+02, 1.21000000e+02, 2.99999694e+01,\n 0.00000000e+00, 1.69999838e+01, 6.74915852e-17, -3.88751531e-15,\n 8.43644815e-18, 0.00000000e+00, -2.02474756e-17, 2.00000000e+01,\n 5.10000407e+01, 1.30000005e+02, 5.50000000e+01, 9.30000024e+01,\n 5.50000000e+01, 7.50000000e+01, 1.05000000e+02, 0.00000000e+00,\n 5.49994435e+01, 4.98000000e+03, 1.53999994e+02, 1.10000000e+02,\n 2.99999694e+01, 1.57454112e-17, 1.69999838e+01, 6.74915852e-17,\n 1.43309959e-16, 5.00000000e+00, 0.00000000e+00, -2.02474756e-17,\n 2.00000000e+01, 5.10000407e+01, 0.00000000e+00, -9.71878827e-15,\n 0.00000000e+00, -4.85939414e-15, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.61979805e-15, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=266.2924300452022, prim_res=4.008689601225786e-06, dual_res=0.00032267554932493073, iter=575, rho_updates=2, rho_estimate=0.2061554426538381, setup_time=0.000135333, solve_time=0.003024208, update_time=0.0, polish_time=4.6791e-05, run_time=0.003206332))""}}, ""problem_class"": ""LP""}" +2959,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,recipe,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:01,0.00829005241394043,OPTIMAL,-266.29200000000003,-266.2919999999999,-1.1368683772161603e-13,0.9991673847793755,2.383003884034962e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -266.2919999999999, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2954,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,recipe,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:15:58,0.011420965194702148,OPTIMAL,-266.29173491928253,-266.29225188905303,0.0005169697705014187,1.127538314502658e-07,2.810403493900943e-07,1250,"{""solver_solve_time"": 0.009393916, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -266.29225188905303, ""solver_stats"": {""solve_time"": 0.009393916, ""setup_time"": 0.00019583300000000002, ""num_iters"": 1250, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.68551644e+02\n -2.00000031e+00 -2.00001227e+00 -1.99999967e+00 -2.00000261e+00\n 3.10849210e+02 -9.76375331e-01 -1.30037910e+00 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3.94616009e-03 3.04418081e-03\n 1.83214574e-03 2.73412523e-03 2.28313559e-03 1.83214563e-03\n 2.73412516e-03 2.28313562e-03 1.48685670e-03 1.93784646e-03\n 1.71235170e-03 1.48685660e-03 1.93784638e-03 1.71235173e-03\n 1.17151620e-03 1.39701109e-03 1.28426377e-03 1.17151610e-03\n 1.39701101e-03 1.28426381e-03 9.06823955e-04 1.01957141e-03\n 9.63197820e-04 9.06823864e-04 1.01957133e-03 9.63197853e-04\n 6.94211330e-04 7.50585060e-04 7.22398343e-04 6.94211251e-04\n 7.50584992e-04 7.22398372e-04 5.27705124e-04 5.55891994e-04\n 5.41798734e-04 5.27705068e-04 5.55891950e-04 5.41798753e-04\n 3.99302089e-04 4.13395541e-04 4.06348853e-04 3.99302085e-04\n 4.13395546e-04 4.06348847e-04 3.01238166e-04 3.08284900e-04\n 3.04761131e-04 3.01238238e-04 3.08284977e-04 3.04761110e-04\n 9.10761388e-04 9.17808128e-04 9.14285236e-04 9.10761327e-04\n 9.17808068e-04 9.14285322e-04 3.91444813e-03 3.92227784e-03\n 3.91836305e-03]"", ""info"": {""exitFlag"": 0, ""pcost"": 52.20206089903236, ""dcost"": 52.20206090196664, ""pres"": 1.9279273612970093e-10, ""dres"": 3.7626171437322735e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.07781006071219514, ""dinfres"": NaN, ""gap"": 5.98881426071852e-08, ""relgap"": 1.1472371314928105e-09, ""r0"": 1e-08, ""iter"": 14, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.001158041, ""tsetup"": 9.1083e-05, ""tsolve"": 0.001066958}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2978,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,sc205,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:12,0.0034842491149902344,OPTIMAL,-52.20206121170723,-52.202061211707225,-7.105427357601002e-15,4.2714865267341036e-16,5.477474522720698e-17,69,"{""solver_solve_time"": 0.0009642913937568665, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -52.202061211707225, ""solver_stats"": {""solve_time"": 0.0009642913937568665, ""num_iters"": 69, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2974,cvxpy_osqp,unknown,NETLIB,sc205,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:09,0.05945920944213867,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2977,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,sc205,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:11,0.00901031494140625,OPTIMAL,-52.20206121170722,-52.202061211707225,7.105427357601002e-15,0.2149588122825863,6.677260783749118e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -52.202061211707225, ""solver_stats"": 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5.18815225e-08 5.71369274e+03 7.02017973e-08\n 1.18630726e+03 7.20125841e-08 1.77213275e+04 1.59145519e+03\n 6.08630043e-08 3.65451918e-08 8.37607993e+02 5.38863031e-08\n 1.90043808e+03 1.21268600e+03 2.14835266e+03 1.29476957e-05\n 2.22149758e-07 9.50219041e+02 5.36185360e-08 9.50219041e+02\n 9.50219041e+02 5.16124509e-08 6.09999996e+03 6.98874683e-08\n 8.00000035e+02 7.19074066e-08 2.01095947e+04 1.80541618e+03\n 6.05696869e-08 4.35698146e-08 9.50219041e+02 5.36176953e-08\n 2.16791465e+03 7.25209083e+02 1.20791463e+03 1.28839821e-05\n 3.68115397e-08 1.08395732e+03 2.66935136e-07 1.08395732e+03\n 1.08395732e+03 2.64929361e-07 6.09999998e+03 7.00671333e-08\n 8.00000020e+02 7.22793054e-08 2.29373801e+04 2.05951891e+03\n 6.03437501e-08 1.08395732e+03 1.23866091e-08 2.66929339e-07\n 2.46775930e+03 1.10454094e-08 6.88339616e-08 2.71308458e-07\n 6.22966689e+01 1.60000000e+03 1.52225464e+03 6.54811514e-05\n 5.15382517e-05 1.91098268e-06 1.60000000e+03 4.54400000e+01\n 1.31757398e+03 4.52864554e-05 5.69236703e-05 2.35386226e-06\n 1.60000000e+03 6.14080000e+01 1.20332105e+03 4.99332280e-05\n 4.01183389e-05 3.04943837e-06 1.60000000e+03 6.57056000e+01\n 1.04369686e+03 4.97509265e-05 4.26733469e-05 4.39574285e-06\n 1.60000000e+03 7.66979200e+01 8.64339910e+02 5.68257331e-05\n 4.68399435e-05 9.15779990e-06 1.60000000e+03 8.65413440e+01\n 7.80782748e+02 5.61730342e-05 4.64341456e-05 7.83010673e+02\n 1.60000000e+03 9.89279008e+01 6.49345323e+02 5.35554005e-05\n 4.42298345e-05 2.56666999e+03 1.60000000e+03 1.12520203e+02\n 2.85181239e+02 5.38976478e-05 4.43219265e-05 2.56667000e+03\n 1.60000000e+03 1.28228092e+02 6.21817328e+01 5.52027418e-05\n 4.81683638e-05 2.56667000e+03 1.60000000e+03 1.46019766e+02\n 3.92277722e-05 4.34695425e-05 3.65636411e-05 2.56667000e+03\n 1.60000000e+03 1.66327882e+02 2.12591524e-08 1.12727101e-07\n 6.04865548e+02 2.56667000e+03 1.60000000e+03 9.25570769e+01\n 1.06322335e+01 5.61300085e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 7.79723440e-08 9.30320423e+00 4.93401633e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 7.31884622e-08\n 7.97417470e+00 4.42586378e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 7.23902197e-08 6.64514518e+00 3.94456062e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 7.43825036e-08\n 5.31611550e+00 3.59130305e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 7.92770896e-08 3.98708365e+00 4.58413860e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 8.80255570e-08\n 2.65804942e+00 7.04250797e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 1.02680328e-07 1.32901762e+00 8.10200135e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 1.27225074e-07\n 7.03204757e-07 3.03745368e-06 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 2.40902367e-07 5.24833012e+01 5.56430486e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 2.19642200e+02\n 2.30102065e+02 5.61971521e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 2.25222096e+02 5.87314003e+02 2.51647335e+02\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 2.67476568e+02\n 1.07479092e+03 1.19208537e+03 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 2.99844646e+02 2.28039989e+03 2.25546675e+02\n 3.49749339e+02 5.96522848e+01 1.76827249e+02 3.13605214e+02\n 4.67937279e+02 6.44358697e+02 8.45019719e+02 1.07369317e+03\n 7.29229585e+02 3.35847210e+02 4.12978159e+02 4.12978158e+02\n 4.12978158e+02 4.12978157e+02 4.12978146e+02 4.12978133e+02\n 4.12978145e+02 4.12978219e+02 4.12978110e+02 4.12978154e+02\n 3.86307256e+02 3.53613908e-05 2.03041796e-05]"", ""s"": ""[5.26727364e+03 3.97552793e-08 4.02839976e-08 1.35494999e+01\n 3.98144321e-08 4.03383807e-08 4.42330919e-09 2.71022571e-09\n 5.98059986e-09 4.39782027e-09 2.39999993e+00 6.47999998e+00\n 9.18000002e+00 5.01202414e+03 3.96844504e-08 4.02839979e-08\n 1.71128342e-08 2.01098342e-08 2.92306841e-09 6.48945906e-09\n 4.36776998e+03 3.35043349e-08 3.39034287e-08 5.16450007e+00\n 3.35403508e-08 3.39367625e-08 1.96382987e-09 2.66142447e-09\n 1.72913745e-08 8.81055711e-09 1.04067699e-08 5.88000001e+00\n 9.78000002e+00 4.12090548e+03 3.34083648e-08 3.39034289e-08\n 1.52406215e-08 1.27164414e-08 2.80032994e-09 5.98853990e-09\n 3.58527445e+03 2.98833875e-08 3.03860131e-08 1.81950003e+00\n 2.99192286e-08 3.04185172e-08 2.09053197e-09 2.65309983e-09\n 1.71633567e-08 7.32732849e-09 5.47606540e-09 5.28000000e+00\n 1.03800000e+01 3.34175495e+03 2.97836330e-08 3.03860132e-08\n 1.32984074e-08 1.06037225e-08 2.72455608e-09 5.60820689e-09\n 2.90002736e+03 2.60832105e-08 5.07333998e-01 3.27976808e-08\n 2.61129223e-08 5.10831857e-01 1.87699500e-09 2.66069867e-09\n 1.65300957e-08 1.44164574e-08 4.61052177e-09 4.68000012e+00\n 1.09800000e+01 2.65985286e+03 2.61118637e-08 5.07334007e-01\n 1.16807539e-08 8.31606669e-09 2.72569447e-09 5.66260565e-09\n 2.30074923e+03 2.29911623e-08 1.61772158e+00 3.20195033e-08\n 2.30183289e-08 1.63505679e+00 1.97426755e-09 2.67678604e-09\n 1.36851142e-08 1.24419586e-08 3.33258740e-09 4.08000003e+00\n 1.15800000e+01 2.06391973e+03 2.29608471e-08 1.61772166e+00\n 1.02735035e-08 6.79259663e-09 2.69092194e-09 5.45154863e-09\n 1.77561143e+03 2.01787567e-08 2.72799173e+00 2.37986976e-08\n 2.02034887e-08 2.75951639e+00 2.12205359e-09 2.56903154e-09\n 1.20404826e-08 1.08530762e-08 2.40898775e-09 3.48000002e+00\n 1.21800000e+01 1.54212693e+03 2.02457769e-08 2.72799194e+00\n 9.03147218e-09 6.32085807e-09 2.68139211e-09 5.49372354e-09\n 1.31861509e+03 1.77688353e-08 3.84007951e+00 1.90612279e-08\n 1.77922489e-08 3.88034068e+00 1.65346381e-09 4.57454916e-09\n 1.08121063e-08 9.71549738e-09 1.29005775e-09 2.88000001e+00\n 1.27800000e+01 1.08847559e+03 1.77711175e-08 3.84007988e+00\n 7.96504108e-09 5.48058978e-09 2.69864304e-09 5.58728667e-09\n 9.14501380e+02 1.56223547e-08 4.95348388e+00 1.61998356e-08\n 1.56441147e-08 4.99853179e+00 1.19109299e-09 6.00000010e-01\n 9.33451472e-09 8.61575901e-09 7.51230982e-10 2.28000000e+00\n 1.33800000e+01 6.87706880e+02 1.56526826e-08 4.95348443e+00\n 7.01009735e-09 4.16126159e-09 2.68816455e-09 5.63988517e-09\n 5.72634874e+02 1.37677221e-08 6.07030255e+00 1.40106723e-08\n 1.37885963e-08 6.10989468e+00 1.27228115e-09 1.20000002e+00\n 8.07452302e-09 8.15976273e-09 6.71248595e-10 1.67999999e+00\n 1.39800000e+01 3.49185374e+02 1.38303071e-08 6.07030297e+00\n 6.17316506e-09 3.66704082e-09 2.64729853e-09 5.53648884e-09\n 2.49387569e+02 1.21376698e-08 7.20662872e+00 1.22567312e-08\n 1.21575730e-08 7.20674235e+00 1.35085585e-09 1.80000005e+00\n 7.54845329e-09 8.72327681e-09 5.94672200e-10 1.07999996e+00\n 1.45800001e+01 2.93075689e+01 1.21890553e-08 7.20662900e+00\n 5.44983707e-09 3.58877775e-09 2.74548567e-09 5.83035439e-09\n 2.46061521e+01 1.06855986e-08 7.16631433e+01 1.07034236e-08\n 1.07026512e-08 7.37663213e+01 1.26391122e-09 2.40999996e+00\n 6.44808321e-09 1.12438054e-08 5.28304452e-10 4.70000051e-01\n 1.51900000e+01 5.63431760e-08 1.30831562e-08 7.16643834e+01\n 4.80979003e-09 3.62157646e-09 2.75374026e-09 1.33245037e-08\n 2.63865397e-08 1.44533615e-08 1.03921994e+02 9.42187011e-09\n 1.44743029e-08 1.08394735e+02 1.16572732e-09 8.14171829e+01\n 5.66528215e-09 7.85371829e+01 4.83829196e-10 4.20748853e-08\n 9.41971829e+01 7.45406473e+01 1.46415554e-08 1.03923918e+02\n 4.57294520e-09 3.65978325e-09 2.75969522e-09 4.69999968e-01\n 2.27680811e-08 1.44715154e-08 1.04636980e+02 8.92104411e-09\n 1.44924604e-08 1.09170174e+02 1.18046972e-09 8.20171830e+01\n 5.33300447e-09 7.91371830e+01 4.66001758e-10 7.64308557e-09\n 9.47971830e+01 7.67456478e+01 1.46510939e-08 1.04638493e+02\n 4.56688784e-09 3.65628361e-09 2.74845850e-09 4.70000005e-01\n 2.25343443e-08 1.44946676e-08 1.05353146e+02 8.90705570e-09\n 1.45159881e-08 1.09943250e+02 1.18069706e-09 8.26171831e+01\n 5.31375753e-09 7.97371831e+01 4.65386635e-10 7.64917289e-09\n 9.53971831e+01 7.89506483e+01 1.46502842e-08 1.05354252e+02\n 4.56409267e-09 3.65383953e-09 2.73591660e-09 4.70000005e-01\n 2.24324740e-08 1.45079830e-08 1.06070266e+02 8.89935081e-09\n 1.45295719e-08 1.10714444e+02 1.18058775e-09 8.32171832e+01\n 5.30001114e-09 8.03371832e+01 4.65127451e-10 7.65397058e-09\n 9.59971832e+01 8.11556488e+01 1.46455049e-08 1.06070939e+02\n 4.56192224e-09 3.65151620e-09 2.72257939e-09 4.70000005e-01\n 2.23765415e-08 1.45145517e-08 1.06787766e+02 8.89319106e-09\n 1.45363396e-08 1.11484940e+02 1.17993420e-09 8.38171834e+01\n 5.29316069e-09 8.09371834e+01 4.64971779e-10 7.65697600e-09\n 9.65971834e+01 8.33606494e+01 1.46380232e-08 1.06787943e+02\n 4.55964421e-09 3.64929264e-09 2.70987068e-09 4.70000005e-01\n 2.23436205e-08 1.45162236e-08 1.07505468e+02 8.88696956e-09\n 1.45381822e-08 1.12255113e+02 1.17851015e-09 8.44171836e+01\n 5.29840904e-09 8.15371836e+01 4.64921814e-10 7.65777627e-09\n 9.71971836e+01 8.55656501e+01 1.46278260e-08 1.07505069e+02\n 4.55695862e-09 3.64685805e-09 2.70021617e-09 4.70000005e-01\n 2.23254531e-08 1.45138145e-08 1.08223326e+02 8.87971371e-09\n 1.45359696e-08 1.13025187e+02 1.17474950e-09 8.50171837e+01\n 5.34783360e-09 8.21371837e+01 4.65061696e-10 7.65469028e-09\n 9.77971837e+01 8.77706508e+01 1.46143005e-08 1.08222137e+02\n 4.55359822e-09 3.64114740e-09 2.70630465e-09 4.70000005e-01\n 2.23153165e-08 1.45088992e-08 1.08941449e+02 8.87036293e-09\n 1.45314167e-08 1.13796463e+02 1.17384108e-09 8.56171839e+01\n 5.33260886e-09 8.27371839e+01 4.65497964e-10 7.64106779e-09\n 9.83971839e+01 8.99756526e+01 1.45979487e-08 1.08937741e+02\n 4.54935462e-09 3.63961135e-09 2.70880077e-09 4.70000005e-01\n 2.22608188e-08 1.45159838e-08 1.12734428e+02 8.85758533e-09\n 1.45397408e-08 1.17908361e+02 1.17080970e-09 8.62171846e+01\n 5.35213233e-09 8.33371846e+01 4.66411335e-10 7.59512574e-09\n 9.89971846e+01 1.01677403e+02 1.45961443e-08 1.12734614e+02\n 4.54521421e-09 3.64059272e-09 2.72426966e-09 4.70000003e-01\n 8.09331600e-08 8.66033860e-09 1.14985235e+02 8.84093335e-09\n 8.64182668e-09 1.20360189e+02 1.17096856e-09 9.06934090e+01\n 5.29700453e-09 8.78134090e+01 4.47012655e-10 4.82341586e-09\n 1.03473409e+02 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9.09488454e-09 5.52267577e-09 4.70000005e-01\n 1.71973074e+02 5.98500823e-09 2.30823711e+01 6.13125828e-09\n 6.00180438e-09 2.35621653e+01 1.08539678e-09 9.30934090e+01\n 7.94019118e-09 8.99494090e+01 3.00816669e-10 3.15004178e-09\n 1.05873409e+02 5.98104242e-09 5.18700000e+02 2.30823897e+01\n 2.68194299e-09 5.75967045e+02 9.40145075e+01 2.29700000e+01\n 9.09024013e-08 4.09945710e-09 4.32939151e-09 1.09999969e-01\n 1.29999974e-01 2.99999998e+00 4.09827119e-09 1.34999169e-07\n 5.11898856e-09 1.10000013e-01 1.30000019e-01 2.39999999e+00\n 4.09267617e-09 1.00918038e-07 5.74967470e-09 1.09999906e-01\n 1.29999882e-01 1.79999999e+00 4.08149185e-09 9.41019581e-08\n 6.94368794e-09 1.10000076e-01 1.30000093e-01 1.19999999e+00\n 4.06904260e-09 8.16520488e-08 8.56062080e-09 1.10000016e-01\n 1.30000022e-01 5.99999993e-01 4.05772291e-09 7.20768578e-08\n 9.64362464e-09 1.10000005e-01 1.30000008e-01 6.87214769e-09\n 4.04809741e-09 6.37985957e-08 1.24946759e-08 1.10000009e-01\n 1.30000014e-01 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1.31999981e-01 2.63999980e-01]"", ""info"": {""exitFlag"": 0, ""pcost"": 14753433.059801454, ""dcost"": 14753433.060014255, ""pres"": 4.66469521048079e-12, ""dres"": 4.832455691824493e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.846824438402975, ""dinfres"": NaN, ""gap"": 0.003168882477870512, ""relgap"": 2.1478949780570259e-10, ""r0"": 1e-08, ""iter"": 18, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.002780166, ""tsetup"": 0.000183583, ""tsolve"": 0.002596583}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2987,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scagr25,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:18,0.007381916046142578,OPTIMAL,-14753433.060768524,-14753433.060768522,-1.862645149230957e-09,1.2388924243157523e-16,6.323776496363688e-20,316,"{""solver_solve_time"": 0.0036206673830747604, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -14753433.060768522, ""solver_stats"": {""solve_time"": 0.0036206673830747604, ""num_iters"": 316, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2983,cvxpy_osqp,unknown,NETLIB,scagr25,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:16,0.1186530590057373,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +2986,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scagr25,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:18,0.01737499237060547,OPTIMAL,-18127937.273357697,-14753433.060768524,-3374504.2125891726,1.606836087702944,5.427753535572039e-20,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -14753433.060768524, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2981,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,scagr25,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:15,0.8853380680084229,OPTIMAL,-14752591.011977857,-14752623.750660526,32.73868266865611,1.4280088039044842e-06,7.502142924857652e-09,36900,"{""solver_solve_time"": 0.8818424159999999, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -14752623.750660526, ""solver_stats"": {""solve_time"": 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3417,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,scagr25,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:47:18,0.5060154583333333,OPTIMAL,-14753433.000645543,-14753433.164462652,0.16381710954010487,7.676463095349799e-11,0.0,20,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.5060154583333333, ""setup_time"": 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5.96240509e-09 6.00151995e-09 5.01477793e-10 4.42822307e-10\n 4.56969171e-09 1.26672086e-09 1.86004601e-09 1.56600000e+01\n 1.29319662e-09 2.20879681e+03 5.95301063e-09 5.99887171e-09\n 2.67100962e-09 6.50000053e-01 4.68800715e-10 1.03199592e-09\n 1.91610034e+03 5.31118573e-09 5.34136546e-09 5.70677501e+01\n 5.31332927e-09 5.34376987e-09 3.43778006e-10 4.41969483e-10\n 4.18122818e-09 1.31550309e-09 9.67293261e-10 1.51900000e+01\n 4.69999990e-01 1.61733259e+03 5.30735362e-09 5.34136545e-09\n 2.33089536e-09 9.68901320e-09 5.04015752e-10 9.75983497e-10\n 1.36404591e+03 4.63584930e-09 4.65365367e-09 5.37227501e+01\n 4.63765170e-09 4.65496071e-09 3.25878181e-10 4.40931586e-10\n 1.31999951e-01 1.26877877e-09 5.95085011e-10 1.45900000e+01\n 1.06999999e+00 1.06862316e+03 4.63599346e-09 4.65365366e-09\n 2.04986702e-09 5.31287450e-09 6.15108189e-10 9.96716708e-10\n 9.56548667e+02 4.07932991e-09 4.09077376e-09 5.06247501e+01\n 4.08082541e-09 4.09105216e-09 3.19786150e-10 4.39984027e-10\n 1.33999976e-01 1.39496766e-09 4.20680108e-10 1.41200000e+01\n 1.66999999e+00 6.64223917e+02 4.07992594e-09 4.09077375e-09\n 1.79588663e-09 4.71070906e-09 8.47022541e-10 1.22400746e-09\n 4.32526750e+02 3.57967431e-09 3.58818993e-09 4.75267500e+01\n 3.58114677e-09 3.58773044e-09 3.20340505e-10 4.39514346e-10\n 1.35999978e-01 1.40770630e-09 3.14231248e-10 1.36500000e+01\n 2.26999999e+00 1.43300000e+02 3.58463091e-09 3.58818993e-09\n 1.57576624e-09 6.51899400e-09 1.54698558e-09 2.01283453e-09\n 3.23194250e+02 3.14522519e-09 3.14855422e-09 8.14942500e+01\n 3.14686975e-09 3.14968526e-09 3.21882073e-10 4.39284331e-10\n 1.37999979e-01 1.42960943e-09 2.44318200e-10 1.31800000e+01\n 2.86999999e+00 3.14480556e-09 5.18700000e+02 3.14855422e-09\n 1.38444619e-09 6.09499999e+01 7.95833336e+00 9.79000001e+00\n 1.75991855e-08 4.69999987e-01 6.20523219e-10 1.66663126e-03\n 2.15261997e-09 1.27800000e+01 1.50907197e-09 2.43453203e-08\n 6.26113413e-10 1.66663159e-03 1.47096018e-08 1.23100000e+01\n 6.92641213e-10 1.80887129e-08 6.76562458e-10 4.23318139e-08\n 1.29999981e-01 1.17100000e+01 7.27868895e-10 1.68902729e-08\n 7.15652750e-10 2.21296175e-09 2.95889373e-08 1.11100000e+01\n 7.27140179e-10 1.45041801e-08 7.25180139e-10 1.09279812e-09\n 4.22105266e-09 1.05100000e+01 7.25424176e-10 1.28534986e-08\n 6.94498554e-10 6.84506887e-10 1.81620930e-09 9.91000002e+00\n 7.29454822e-10 1.13174121e-08 9.00094779e-10 2.80386326e-09\n 3.79297099e-09 1.26390890e-08 1.29999984e-01 2.59999980e-01\n 3.89999979e-01]"", ""info"": {""exitFlag"": 0, ""pcost"": 2331389.824306036, ""dcost"": 2331389.8243213478, ""pres"": 1.4664835704452173e-12, ""dres"": 1.2373596652099633e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 1.4432359753664488, ""dinfres"": NaN, ""gap"": 0.0002748247196169434, ""relgap"": 1.1788020894229608e-10, ""r0"": 1e-08, ""iter"": 15, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.0006187079999999999, ""tsetup"": 6.925e-05, ""tsolve"": 0.000549458}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +2996,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scagr7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:23,0.0033130645751953125,OPTIMAL,-2331389.8243309837,-2331389.8243309837,0.0,1.040625938816703e-16,8.822992980758963e-20,102,"{""solver_solve_time"": 0.0010103732347488403, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -2331389.8243309837, ""solver_stats"": {""solve_time"": 0.0010103732347488403, ""num_iters"": 102, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +2992,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,scagr7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:21,0.03087902069091797,OPTIMAL,-2331247.4958588285,-2331243.4334578174,-4.062401011120528,1.0790297995187856e-06,1.037936202679792e-08,9400,"{""solver_solve_time"": 0.028575541, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -2331243.4334578174, ""solver_stats"": {""solve_time"": 0.028575541, ""num_iters"": 9400, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([-3.25221144e+03, -1.15825063e+02, 3.31283671e+03, 1.76450248e+02,\n 6.23104939e+00, 3.73945401e-01, 3.36599311e+03, 2.29606489e+02,\n 4.19785138e+03, 4.08642685e+01, 5.30471799e+00, 6.46547502e+00,\n -2.53876424e+03, -9.43143825e+01, 2.60313152e+03, 1.58681601e+02,\n 1.50000356e+01, -5.29248295e-02, 2.67258656e+03, 2.28136534e+02,\n 3.41338678e+03, 4.38642165e+01, 5.69457202e+00, 6.93435792e+00,\n -1.94590565e+03, -9.11581986e+01, 2.01052216e+03, 1.55774584e+02,\n 1.50002378e+01, -6.29526923e-01, 2.08140999e+03, 2.26662226e+02,\n 2.72145018e+03, 4.68639326e+01, 6.11244236e+00, 7.43252052e+00,\n -1.39528345e+03, -8.76549508e+01, 1.46024029e+03, 1.52611678e+02,\n 1.50004198e+01, -1.26059872e+00, 1.53281812e+03, 2.25189332e+02,\n 2.13174799e+03, 4.98725380e+01, 6.50721778e+00, 8.11280468e+00,\n -9.89129323e+02, -8.45326829e+01, 1.05432659e+03, 1.49729840e+02,\n 1.50006384e+01, -1.85556876e+00, 1.12831396e+03, 2.23717037e+02,\n 1.58462902e+03, 5.28779701e+01, 6.90136916e+00, 8.59330203e+00,\n -4.66414617e+02, -8.14158241e+01, 5.31851079e+02, 1.46852287e+02,\n 1.50009465e+01, -2.45639760e+00, 6.07244337e+02, 2.22245546e+02,\n 1.18159714e+03, 5.58821591e+01, 7.29460531e+00, 9.07134815e+00,\n -3.57531014e+02, -1.15831016e+02, 4.23205138e+02, 1.81505140e+02,\n 1.50012841e+01, -3.05686380e+00, 4.99999427e+02, 2.58299429e+02,\n 6.61998790e+02, 5.88845463e+01, 7.68645836e+00, 9.54607854e+00,\n -2.23528240e-04, -3.73896041e-01, 2.58749684e-05, 7.29988095e-05,\n 5.58558448e-04, -1.27271379e+01, 2.64624114e-02, 1.87724264e-04,\n 1.42169076e-04, -1.39351571e-02, -1.40812667e-02, -1.21508420e+01,\n 1.09903157e-05, 1.23415454e-04, -4.30280301e-03, -2.38771540e-03,\n -2.10307884e-01, -1.15200363e+01, 6.25430421e-06, 1.64177145e-04,\n -2.71605582e-03, -2.07568452e-03, -5.24868711e-03, -1.09253895e+01,\n 4.05405393e-06, 2.50356210e-04, -2.09453079e-03, -1.61807163e-03,\n -4.02307804e-03, -1.03250235e+01, 2.47268596e-06, 2.52500000e-04,\n -1.19357705e-03, -9.26523267e-04, -2.36521338e-03, -9.72506484e+00,\n -1.85621154e-06, 1.15812432e-04, 3.20178225e-04, -2.65533421e-02,\n 2.32363987e-02, -6.10267127e-03, 1.02231327e-01, 2.24990657e-01,\n 3.50700810e-01]), y=array([-8.54100873e-15, 1.57986412e+02, 1.57996523e+02, 3.79437159e-15,\n 1.57986330e+02, 1.57996505e+02, 4.82173505e-16, 2.50434883e+03,\n 1.35875594e+03, 1.43689597e+03, 0.00000000e+00, 3.77991956e-18,\n 1.59999944e+03, 0.00000000e+00, 1.57976161e+02, 1.57996499e+02,\n 3.75199991e+02, 1.47041806e+01, 2.31450713e+03, 9.86529224e+02,\n 0.00000000e+00, 1.87591988e+02, 1.87597688e+02, -6.94225404e-16,\n 1.87591940e+02, 1.87597675e+02, 2.21080939e+03, 2.56666969e+03,\n 3.74023402e+02, 8.98390188e+02, 5.86429325e+02, 0.00000000e+00,\n 8.50107339e+02, 2.96766387e-14, 1.87586214e+02, 1.87597669e+02,\n 4.20616091e+02, 1.06682317e-03, 2.38813523e+03, 1.17205971e+03,\n 8.02568173e-14, 2.10302311e+02, 2.10305519e+02, -2.29817259e-15,\n 2.10302277e+02, 2.10305505e+02, 3.17494956e+03, 2.56666960e+03,\n 3.31287407e+02, 8.27093872e+02, 1.13350492e+03, 3.54540530e-17,\n 1.49084034e-18, 0.00000000e+00, 2.10299000e+02, 2.10305499e+02,\n 4.82017442e+02, 1.12554185e+02, 2.36506403e+03, 1.19999945e+03,\n 4.98574028e-14, 2.41005937e+02, 2.41007438e+02, 1.49619900e-15,\n 2.41005919e+02, 2.41007430e+02, 3.43970677e+03, 2.56666977e+03,\n 4.03148538e-16, 8.93623423e+02, 1.85651767e+03, 7.20771603e-17,\n 0.00000000e+00, 0.00000000e+00, 2.41004403e+02, 2.41007425e+02,\n 5.47711189e+02, 2.06374715e+02, 1.88304691e+03, 1.17779749e+03,\n 0.00000000e+00, 2.73854590e+02, 2.73854784e+02, -2.29817259e-15,\n 2.73854583e+02, 2.73854779e+02, 3.53333124e+03, 2.56666966e+03,\n -4.05649460e-16, 7.99998936e+02, 2.63621985e+03, 0.00000000e+00,\n 2.38534454e-17, -4.61966885e-15, 2.73854388e+02, 2.73854774e+02,\n 6.24402226e+02, 2.35947383e+02, 1.33533633e+03, 9.37148343e+02,\n 1.63546245e-14, 3.12200744e+02, 3.12200727e+02, -3.68662340e-15,\n 3.12200740e+02, 3.12200723e+02, 3.53333146e+03, 2.56666964e+03,\n 1.92070768e-16, 7.99998640e+02, 3.54356785e+03, 0.00000000e+00,\n 8.17144934e-17, 0.00000000e+00, 3.12200763e+02, 3.12200718e+02,\n 7.10935945e+02, 1.71592498e+02, 7.10934835e+02, 5.50783679e+02,\n 1.71812219e-14, 3.55468635e+02, 3.55468635e+02, -5.98479599e-15,\n 3.55468637e+02, 3.55468638e+02, 3.53333157e+03, 2.56666963e+03,\n -3.98480152e-16, 7.99998458e+02, 4.56859953e+03, -1.07871280e-17,\n -1.40268656e-16, 3.55468650e+02, 0.00000000e+00, 3.55468638e+02,\n 8.09855925e+02, -2.99239800e-15, 0.00000000e+00, 0.00000000e+00,\n 6.23211737e+01, 0.00000000e+00, 1.78529582e+03, 8.54928652e+01,\n 2.13470776e+02, -7.48099499e-16, 7.49892660e+02, 4.54161004e+01,\n 1.79999893e+03, 1.18647710e+01, 2.79402890e+01, -6.53715947e-16,\n 1.60000044e+03, 6.14013507e+01, 1.68744581e+03, 3.49359703e+01,\n 1.82641479e-19, 0.00000000e+00, 1.60000023e+03, 6.56937466e+01,\n 1.59362528e+03, 5.16953087e+02, 2.22025143e+01, 0.00000000e+00,\n 1.60000034e+03, 7.66910372e+01, 1.56405262e+03, 1.06466367e+03,\n 2.62851656e+02, 0.00000000e+00, 1.60000034e+03, 8.65337190e+01,\n 1.62840750e+03, 1.68906516e+03, 6.49216320e+02, -1.62480690e-17,\n 1.60000034e+03, 9.89199800e+01, 1.99565192e+03, 4.72413589e+02,\n 3.58381279e+02, 9.36236928e+01, 0.00000000e+00, 0.00000000e+00,\n 1.30449637e-17]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 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2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=2331243.433457816, prim_res=0.026553342061785352, dual_res=0.01358823522360983, iter=9400, rho_updates=3, rho_estimate=0.0003182147314886968, setup_time=0.000103875, solve_time=0.028376833, update_time=0.0, polish_time=9.4833e-05, run_time=0.028575541))""}}, ""problem_class"": ""LP""}" +2995,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scagr7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:23,0.0069158077239990234,OPTIMAL,-2276726.329468584,-2331389.8243309837,54663.49486239953,0.4236561646826832,9.789749014396557e-20,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -2331389.8243309837, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +2990,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,scagr7,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:20,0.2089691162109375,OPTIMAL,-2331390.653844058,-2331382.055918739,-8.597925318870693,5.25134190351433e-07,8.44978673034001e-09,43525,"{""solver_solve_time"": 0.206911, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -2331382.055918739, ""solver_stats"": {""solve_time"": 0.206911, ""setup_time"": 0.000145833, 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7.74407315e+00 2.11523990e-11\n 4.20000000e+00 3.78000000e+00 2.94000000e+00 3.99515515e-12\n 2.66363711e+00 5.13206428e+00 3.75345000e+00 2.81234540e-11\n 1.10048839e+01 1.45000000e+01 4.17043622e+01 6.77941301e+00\n 1.02292122e+01 5.51520000e+00 2.98479430e+00 1.11668630e-10\n 3.98020864e+00 2.52000000e+00 1.69565356e-13 1.00500047e-12\n 1.39637704e-12 7.91843339e-13 2.55080957e-12 2.96768479e-12\n 2.99352195e-12 4.28394241e-01 5.07332270e-02 2.82615348e-01\n 4.73447118e-02 5.57953013e-01 9.04772665e-02 7.21392807e-02\n 2.93680510e-02 8.08912008e-02 6.04531854e-02 2.39808048e-02\n 2.52152020e-01 7.48911476e-12 6.73685750e-12 8.39295813e-01\n 4.18897299e-01 2.60104749e-02 7.46512377e-02 5.07726356e-02\n 3.78000000e+00 3.57757578e-13 1.60914981e-13 3.73217180e-13]"", ""info"": {""exitFlag"": 0, ""pcost"": -18416.759028342516, ""dcost"": -18416.759028357905, ""pres"": 5.2839958046857246e-14, ""dres"": 2.1124266986827462e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.2393980316476214, ""gap"": 2.4980632512528237e-06, ""relgap"": 1.3564076325310134e-10, ""r0"": 1e-08, ""iter"": 17, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.004483083, ""tsetup"": 0.000396708, ""tsolve"": 0.004086375}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3005,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scfxm1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:30,0.008108139038085938,OPTIMAL,18416.759028348944,18416.75902834894,3.637978807091713e-12,2.2855041056221405e-15,6.007634519192053e-18,315,"{""solver_solve_time"": 0.004349499940872192, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 18416.75902834894, ""solver_stats"": {""solve_time"": 0.004349499940872192, ""num_iters"": 315, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3001,cvxpy_osqp,unknown,NETLIB,scfxm1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:27,0.15664386749267578,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3004,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scfxm1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:30,0.020607948303222656,OPTIMAL,0.0,18416.75902834894,-18416.75902834894,4.097818851087059,2.2938311214524865e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 18416.75902834894, ""solver_stats"": {""solver_name"": 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2.53962097e-01 9.11268495e-05 6.82578832e-05\n 2.50972846e-01 0.00000000e+00 0.00000000e+00 1.24940256e-04\n 7.32597687e-03 2.20559792e-02 3.22238876e-03 1.53206247e-04\n 3.77947489e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00]"", ""info"": {""status_val"": 1, ""iter"": 26200, ""scale_updates"": 2, ""scale"": 1.026902849948611, ""pobj"": -18417.351451127863, ""dobj"": -18417.4924503204, ""res_pri"": 0.025409403315288414, ""res_dual"": 0.0084414520931256, ""gap"": 0.14099919253798227, ""res_infeas"": NaN, ""res_unbdd_a"": 0.0005429662370296404, ""res_unbdd_p"": 0.0, ""comp_slack"": 3.3171039821155082e-09, ""solve_time"": 700.253208, ""setup_time"": 0.764541, ""lin_sys_time"": 603.9275079999953, ""cone_time"": 31.672187999994176, ""accel_time"": 11.415863000000043, ""rejected_accel_steps"": 237, ""accepted_accel_steps"": 2, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +3003,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,scfxm1,LP,"{""cpu"": {""cpu_count"": 8, 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""Optimal solution found"", ""timing"": {""runtime"": 0.009545958, ""tsetup"": 0.000687833, ""tsolve"": 0.008858125}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3014,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scfxm2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:40,0.01711416244506836,OPTIMAL,36660.261564998815,36660.261564998815,0.0,1.98189114390341e-15,5.53516936678016e-18,724,"{""solver_solve_time"": 0.011523790657520294, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 36660.261564998815, ""solver_stats"": {""solve_time"": 0.011523790657520294, ""num_iters"": 724, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3010,cvxpy_osqp,unknown,NETLIB,scfxm2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:35,0.33227968215942383,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3013,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scfxm2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:39,0.04290318489074707,OPTIMAL,0.0,36660.261564998815,-36660.261564998815,4.088339113985454,1.3959042329684425e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 36660.261564998815, ""solver_stats"": {""solver_name"": 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9.60540620e-13\n 4.68256270e-13 1.00651293e-12]"", ""info"": {""exitFlag"": 0, ""pcost"": -54901.25454969123, ""dcost"": -54901.254549813086, ""pres"": 1.4507721678425723e-13, ""dres"": 5.473889512506659e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.2437353916446565, ""gap"": 1.9810858854688935e-05, ""relgap"": 3.608452851793776e-10, ""r0"": 1e-08, ""iter"": 18, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.014696791, ""tsetup"": 0.000867041, ""tsolve"": 0.01382975}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3023,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scfxm3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:52,0.03169727325439453,OPTIMAL,54901.25454975146,54901.25454975145,7.275957614183426e-12,1.766890994141972e-15,5.5546089241638074e-18,1047,"{""solver_solve_time"": 0.021042291074991226, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 54901.25454975145, ""solver_stats"": {""solve_time"": 0.021042291074991226, ""num_iters"": 1047, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3019,cvxpy_osqp,unknown,NETLIB,scfxm3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:46,0.5274169445037842,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3022,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scfxm3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:51,0.06835794448852539,OPTIMAL,0.0,54901.254549751466,-54901.254549751466,4.070007635897068,2.51964071117211e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 54901.254549751466, ""solver_stats"": {""solver_name"": 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found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:47:49"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 25, ""feasratio"": 1, ""full_info"": {""iter"": 25, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 8.120205849376837e-13, ""timing"": [0.0720776617527008, 0.23855231702327728, 0.0029068440198898315], ""wallsec"": 0.3135368227958679, ""cpusec"": 1.0499999999999998}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 25, ""feasratio"": 1, ""full_info"": {""iter"": 25, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 8.120205849376837e-13, ""timing"": [0.0720776617527008, 0.23855231702327728, 0.0029068440198898315], ""wallsec"": 0.3135368227958679, ""cpusec"": 1.0499999999999998}}, ""problem_class"": ""LP""}" 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(HiGHS Status 7: Optimal)"", ""scipy_fun"": 54901.25454975146, ""scipy_nit"": 1270, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3025,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:53,0.0052661895751953125,OPTIMAL,1878.1248220102716,1878.124819471118,2.5391536837560125e-06,3.956517621935994e-09,2.469224322462743e-14,12,"{""solver_solve_time"": 0.00262429, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1878.124819471118, ""solver_stats"": {""solve_time"": 0.00262429, ""num_iters"": 12, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3029,cvxpy_cvxopt,unknown,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:56,0.03485989570617676,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3027,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:54,0.0040149688720703125,OPTIMAL,1878.12482272426,1878.1248226979937,2.6266206987202168e-08,4.91843359523729e-11,2.3631408652113883e-16,13,"{""solver_solve_time"": 0.001529583, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1878.1248226979937, 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4.00000000e-02 2.00000000e-01 6.50000000e-02\n 9.52247172e-02 1.00000000e-01 1.68000000e-01 5.00000000e-01\n 4.10000000e-01 1.10000000e-01 1.42733088e-03 2.02272727e-01\n 8.14835329e-02 6.55732527e-02 1.04821768e+00 6.34799032e-03\n 5.62024617e-04 1.18512590e-03 4.67591123e-12 2.46489992e-11\n 2.60070678e-11 4.81345146e-01 7.30998451e-12 1.00000000e-02\n 7.33345647e-12 2.05643810e-10 2.16857976e+00 5.06341578e-12\n 1.40999943e-04 3.76000002e-03 9.87000036e-04 4.51200002e-03\n 8.50771308e-12 7.79142754e-11 4.22676863e-11 7.80431216e-11\n 3.05769747e-02 7.13462743e-01 3.56731371e-01 9.37693890e-01\n 4.70145687e-12 4.69721428e-12 4.68255077e-12 4.80733694e-12\n 6.44578303e-01 1.26883622e-01 1.70743966e-01 1.42387347e-01\n 7.27084326e-02 1.96918671e-01 1.93889153e-01 4.69093359e-12\n 1.43124725e-02 4.63654154e-12 1.04958132e-01 2.97114042e-12\n 4.00000000e-02 2.70000000e-01 9.05000000e-01 6.50000000e-01\n 1.10000000e-01 2.45000000e-01 5.50000000e-01 5.00000000e-01\n 4.00000000e-02 2.00000000e-01 7.00000000e-02 1.17738880e-01\n 1.10000000e-01 2.45000000e-01 5.50000000e-01 5.00000000e-01\n 1.50000000e-01 2.25141626e-03 2.68686869e-01 6.77913160e-02\n 6.92754162e-01 7.63679034e-01 7.17701882e-12 6.94648192e-12\n 7.22659146e-12 8.43143134e-10 2.54332605e+00 5.03976952e-12\n 4.77461623e-12 7.41224424e-12 5.38772746e-12 7.96417540e-12\n 2.04493851e-11 3.11987032e-10 1.62318285e-10 3.12015505e-10\n 3.58608974e-02 8.36754272e-01 4.18377136e-01 1.09973419e+00\n 4.69052286e-12 4.75930890e-12 4.68696306e-12 4.84790619e-12\n 5.97177241e-01 3.51645115e-01 1.50911830e-01 1.31916453e-01\n 6.73615928e-02 1.82437647e-01 1.79630914e-01 4.68277227e-12\n 3.96655689e-02 4.67835133e-12 2.90880839e-01 1.02886737e-11\n 1.51734513e-11 2.80000000e-01 1.00900000e+00 8.80000000e-01\n 1.20000000e-01 2.89000000e-01 6.00000000e-01 6.80000000e-01\n 1.51354713e-11 2.00000000e-01 8.00000000e-02 1.42888059e-01\n 1.20000000e-01 2.89000000e-01 6.00000000e-01 6.80000000e-01\n 2.00000000e-01 1.20373897e-02 2.79040404e-01 5.51600180e-01\n 9.36748614e-01 2.67718532e+00 1.99325046e-01 1.78414266e-11\n 3.40000000e-03 5.23989123e-12 4.39269989e-11 9.64252470e-13\n 2.05179078e-12 1.17111445e-12 1.31884053e-01 1.59324478e-12\n 3.40000000e-03 6.48797912e-12 1.33281089e-11 1.02226525e-12\n 1.91609514e-12 1.21898571e-12 3.80303031e-02 6.23196388e-12\n 3.40000000e-03 4.03657622e-12 2.70793267e-11 1.12317944e-12\n 2.02801230e-12 1.34901003e-12 1.38097633e-11 5.50484298e-12\n 5.31736443e-12 8.21960227e-12 2.87430439e-11 1.11811913e-12\n 1.93140431e-12 1.15184165e-12 2.31490208e-11 9.32138547e-12\n 5.62551599e-12 8.52333449e-12 3.09470033e-11 1.24678309e-12\n 2.07719230e-12 1.28581025e-12 7.13814452e-11 3.03392634e-11\n 1.62706160e-11 2.51524544e-11 1.25079008e-10 2.11700756e-12\n 2.40875717e-12 2.16931380e-12 3.28948038e-12 1.65583084e-12\n 1.62520002e-12 1.64042516e-12 2.34799029e-02 5.24879154e-13\n 4.74458893e-13 5.03876137e-13 3.42017396e-12 3.78728198e-02\n 3.36349800e-12 1.73761251e-12 1.70422183e-12 1.71966168e-12\n 2.91001494e-02 5.44667676e-13 4.92720730e-13 5.18134329e-13\n 3.47417121e-12 1.19391490e-02 3.43209221e-12 1.81908507e-12\n 1.75470923e-12 1.76367286e-12 3.09514085e-02 6.89316509e-13\n 6.25573638e-13 6.59849895e-13 2.33426074e-12 8.69317096e-12\n 2.49537528e-12 1.31739986e-12 1.27618224e-12 1.27988830e-12\n 4.52247172e-02 8.55006111e-13 7.62550960e-13 8.06775817e-13\n 7.84957259e-13 9.09181563e-13 2.94931420e-12 1.56971673e-12\n 1.50165440e-12 1.51046000e-12 5.77388797e-02 9.73598499e-13\n 8.95212764e-13 9.21393413e-13 8.91258499e-13 1.04773670e-12\n 1.02619903e-11 1.51191534e-11 5.15538556e-12 5.21521748e-12\n 7.28880591e-02 3.44648291e-12 3.01031596e-12 3.13172204e-12\n 2.91420350e-12 3.32357572e-12]"", ""s"": ""[2.03297895e-08 9.94759940e-08 1.56728251e+01 2.65164014e-01\n 1.51176343e-10 3.56948344e+01 5.25347679e-06 4.36644935e-08\n 2.01504742e-07 3.61425347e-08 8.85974242e+00 6.65391467e-01\n 1.16778629e+00 6.65397863e-01 9.46719060e-09 4.47023392e-10\n 8.68321057e-10 3.43923331e-10 3.72201835e+01 3.67257179e+01\n 3.73019958e+01 3.63554607e+01 5.10047024e-10 6.95321216e+01\n 7.81925245e-10 2.25753041e-09 4.36618263e-09 1.64307561e-09\n 1.66826918e-09 3.73199421e+01 3.92341228e+01 3.71734937e+01\n 5.99808015e+01 5.93837361e+01 1.45570888e-09 9.57955655e-10\n 3.27850134e-10 5.54503624e-10 2.69977514e-09 1.60385566e-09\n 4.79549456e-10 7.68290087e-10 1.45570292e-09 1.26490475e-09\n 3.72803205e-09 2.95465956e-09 2.69966312e-09 1.60380698e-09\n 4.79545081e-10 7.68293859e-10 1.91808150e-09 2.82355115e-08\n 1.43438680e+01 5.12211675e+01 5.34554949e-10 8.85267852e-09\n 2.48022931e-08 3.02085438e-08 1.80221958e+01 2.53095546e-01\n 1.33093777e-10 3.55145345e+01 3.66370003e-06 3.55997623e-08\n 1.52595177e-07 2.96274359e-08 1.07565872e+01 7.77838085e-01\n 1.45493049e+00 7.77891104e-01 8.63033171e-09 4.06493857e-10\n 7.93005059e-10 3.11804280e-10 3.72662706e+01 3.65953324e+01\n 3.73519294e+01 3.62860853e+01 4.58343927e-10 6.73164964e+01\n 7.84141218e-10 2.03393019e-09 3.92997791e-09 1.48045054e-09\n 1.50317909e-09 3.73421365e+01 3.96491709e+01 3.70414403e+01\n 6.06821128e+01 5.89913182e+01 1.57361453e-09 8.90479582e-10\n 3.07165880e-10 5.14211678e-10 2.37197326e-09 1.48801260e-09\n 4.56865838e-10 6.61277200e-10 1.57361958e-09 1.18617786e-09\n 3.39060626e-09 2.71120098e-09 2.37183797e-09 1.48795383e-09\n 4.56860314e-10 6.61286272e-10 2.24426271e-09 2.16818523e-07\n 1.14343379e+01 5.27574135e+01 2.48802807e-09 8.60836297e-10\n 2.82299431e-08 1.43429391e+01 5.10572902e+01 5.34554789e-10\n 8.85273204e-09 9.40335894e-08 1.01323477e-08 1.90720437e+01\n 1.22406513e-09 1.52593290e-10 3.39624554e+01 1.68296388e-06\n 2.32675952e-08 9.20600334e-08 1.94440509e-08 2.97102631e-08\n 3.35291734e-09 6.30699394e-09 3.35376796e-09 1.00412721e-08\n 4.62598380e-10 9.04787698e-10 3.53657284e-10 3.68798567e+01\n 3.55046823e+01 3.82958904e+01 3.53412000e+01 3.86989359e-10\n 3.18642263e+01 1.04485014e-09 1.72215717e-09 3.32636361e-09\n 1.25315791e-09 1.27239098e-09 3.74948303e+01 3.75275172e+01\n 3.62399237e+01 3.54453213e+01 4.95417325e+01 3.72385601e-09\n 7.98373607e-10 2.80933412e-10 4.61563629e-10 2.11324856e-09\n 1.30393854e-09 4.26768077e-10 5.81234242e-10 3.72384539e-09\n 1.05569470e-09 3.12322147e-09 2.34033276e-09 2.11319336e-09\n 1.30391520e-09 4.26765480e-10 5.81235440e-10 2.19560110e-09\n 2.35443019e-07 7.06010750e+00 6.48099999e+01 1.66751913e-09\n 4.07820941e-10 2.82267156e-08 2.24169521e-07 1.43401756e+01\n 1.14326448e+01 5.06915421e+01 5.22325864e+01 5.34554842e-10\n 2.48802994e-09 8.85275533e-09 8.60841820e-10 2.03803910e+01\n 6.06459307e-09 1.97684499e+01 1.08465122e+00 1.13799504e-10\n 3.65357385e+01 7.92129050e-07 1.56131790e-08 5.98063119e-08\n 1.30661463e-08 2.36468607e+01 2.84911382e+00 5.47970815e+00\n 2.84914711e+00 7.20393634e-09 3.35379015e-10 6.61624380e-10\n 2.55120793e-10 3.73381535e+01 3.70733945e+01 3.72205386e+01\n 3.68825633e+01 3.54277217e-10 2.55157898e-09 9.94553398e-10\n 1.58312675e-09 3.06372860e-09 1.15022689e-09 1.16796227e-09\n 3.72965321e+01 2.21264630e-08 3.72639224e+01 3.07597577e-09\n 7.85441626e+01 4.66521572e-09 7.23724740e-10 2.53270447e-10\n 3.71103112e-10 1.89904896e-09 1.13628649e-09 3.85198826e-10\n 4.69248407e-10 4.66516624e-09 9.51769802e-10 2.89558739e-09\n 1.97337311e-09 1.89903488e-09 1.13628091e-09 3.85198111e-10\n 4.69246769e-10 1.73187205e-09 1.39972399e-07 1.02726890e-09\n 2.27354701e-09 2.41624443e-09 1.87766422e-10 2.82260311e-08\n 2.27073609e-07 2.35441363e-07 3.73069330e+01 7.86301734e+00\n 7.05989249e+00 4.07821008e-10 2.07164240e+01 1.77831117e-08\n 2.05532540e+01 8.25096225e-01 9.41770821e-11 3.65453498e+01\n 5.68434975e-06 4.67944832e-08 2.15626678e-07 3.89899818e-08\n 2.12806661e+01 2.43258155e+00 4.39594853e+00 2.43252059e+00\n 6.04639195e-09 2.84045200e-10 5.56522711e-10 2.18766353e-10\n 3.73283897e+01 3.70930332e+01 3.72157749e+01 3.68861836e+01\n 3.00275973e-10 1.47075086e-09 1.11984454e-09 1.33102457e-09\n 2.57393913e-09 9.67467516e-10 9.82355601e-10 3.72967407e+01\n 1.27594469e-08 3.72992367e+01 1.77385005e-09 6.65614126e+01\n 4.63279830e-09 7.09347102e-10 2.17985717e-10 2.97888646e-10\n 1.72531867e-09 7.79750693e-10 3.51165876e-10 3.86617328e-10\n 4.63274686e-09 9.50903518e-10 2.68544096e-09 1.60001188e-09\n 1.72531343e-09 7.79749467e-10 3.51165547e-10 3.86616275e-10\n 1.27098552e-09 7.80181976e-08 7.00224569e-10 2.71756427e-09\n 2.87880154e-10 2.57142957e-10 2.30700764e+01 2.40706859e+01\n 2.28948990e+01 2.45906228e-01 8.06090291e-11 3.63918293e+01\n 3.64291415e+01 2.22724977e+01 3.17099491e+01 2.07172592e+01\n 8.41533494e+00 5.51198062e-01 1.02746020e+00 5.51199208e-01\n 5.29679216e-09 2.40109184e-10 4.75245929e-10 1.83403755e-10\n 3.72855165e+01 3.70420161e+01 3.72462874e+01 3.68089302e+01\n 3.29284734e-10 5.40713911e-10 1.20558950e-09 1.44710227e-09\n 2.79039425e-09 1.05433086e-09 1.07042949e-09 3.73087725e+01\n 4.65170496e-09 3.72929677e+01 6.51614840e-10 1.84511004e+01\n 1.23973447e+01 6.73344924e-10 1.94087285e-10 2.20142892e-10\n 1.54470364e-09 6.54484423e-10 3.19187065e-10 2.83099175e-10\n 1.23975101e+01 9.41738403e-10 2.31265213e-09 1.32176018e-09\n 1.54469953e-09 6.54483556e-10 3.19186833e-10 2.83099072e-10\n 9.41484312e-10 1.37359812e-08 6.61888127e-10 3.40756231e-10\n 2.04036395e-10 7.28523847e-11 9.24171608e-10 5.44200006e+01\n 5.07376304e-08 3.62823529e+01 9.82105261e+00 2.18763646e+02\n 1.00820821e+02 1.82450821e+02 1.38149053e-09 4.48299998e+01\n 5.17045921e-08 3.03882353e+01 1.43684211e+01 2.07960907e+02\n 1.02888711e+02 1.72368711e+02 4.46549280e-09 3.81099997e+01\n 8.22438204e-08 4.90117647e+01 7.12631579e+00 2.00441093e+02\n 1.04459050e+02 1.65849050e+02 1.51000000e+01 4.07499999e+01\n 3.72705882e+01 2.39647059e+01 6.48421053e+00 1.95085359e+02\n 1.03276909e+02 1.81157300e+02 8.46000000e+00 2.28499999e+01\n 3.52823529e+01 2.26823529e+01 6.13684211e+00 1.71245871e+02\n 9.72126167e+01 1.60619041e+02 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6.90591181e+01 6.50191181e+01\n 6.72185224e+01 5.98485224e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": -1878.124822697994, ""dcost"": -1878.1248227242593, ""pres"": 3.608460158505947e-13, ""dres"": 1.3089518635366787e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.15083610727464994, ""gap"": 2.6127134450733516e-07, ""relgap"": 1.39112875432853e-10, ""r0"": 1e-08, ""iter"": 13, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.001722208, ""tsetup"": 0.000192625, ""tsolve"": 0.001529583}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3032,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:57,0.0042798519134521484,OPTIMAL,1878.124822738107,1878.124822738107,0.0,2.0748565747804833e-16,3.8343955304279964e-19,65,"{""solver_solve_time"": 0.0012742076069116592, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1878.124822738107, ""solver_stats"": {""solve_time"": 0.0012742076069116592, ""num_iters"": 65, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3028,cvxpy_osqp,unknown,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:55,0.09587383270263672,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3031,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:57,0.014657020568847656,OPTIMAL,1844.8889537758735,1878.124822738107,-33.23586896223355,0.7283514486204262,6.17790613574247e-19,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1878.124822738107, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3026,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,scorpion,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:16:54,0.07657313346862793,OPTIMAL,1878.1315010126268,1878.1337220309183,-0.0022210182914932375,1.2609550285238193e-05,8.27547071584351e-09,3700,"{""solver_solve_time"": 0.073391375, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1878.1337220309183, ""solver_stats"": {""solve_time"": 0.073391375, 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""timing"": {""runtime"": 0.008261625, ""tsetup"": 0.0003905, ""tsolve"": 0.007871125}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3041,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scrs8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:09,0.010409116744995117,OPTIMAL,904.2969538007915,904.2969538007915,0.0,3.158798106347861e-16,2.8788994704906242e-21,242,"{""solver_solve_time"": 0.005467085167765617, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 904.2969538007915, ""solver_stats"": {""solve_time"": 0.005467085167765617, ""num_iters"": 242, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3037,cvxpy_osqp,unknown,NETLIB,scrs8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:04,0.2298429012298584,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3040,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scrs8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:08,0.031175851821899414,OPTIMAL,899.566968930765,904.2969538007912,-4.729984870026215,0.7110318261808196,1.1334322184315979e-20,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 904.2969538007912, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3035,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,scrs8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:03,3.8040168285369873,OPTIMAL (INACCURATE),904.4934281699245,904.98897612873,-0.4955479588054459,3.1909624261066947e-06,3.97920329471267e-10,100000,"{""solver_solve_time"": 3.798573166, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 904.98897612873, ""solver_stats"": {""solve_time"": 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3.36160695e-02 1.42749551e-12\n 2.44685711e-02 9.75807378e-13 2.56832525e-02 7.33396312e-13\n 3.53781702e-02 2.89881445e-12 2.30520334e-02 1.47461810e-12\n 2.44685717e-02 9.75807662e-13 3.53781798e-02 2.89881089e-12\n 3.36160599e-02 1.42749517e-12 8.28987842e-02 2.74300046e-12]"", ""s"": ""[1.09672898e+00 9.03271025e-01 2.44903165e+00 1.55096835e+00\n 3.80135609e+00 2.19864391e+00 4.89809306e+00 3.10190694e+00\n 1.09425935e+00 9.05740646e-01 1.19214017e+00 1.63628695e+00\n 1.55329232e+00 2.91884364e+00 2.78920088e+00 3.53535444e+00\n 4.29823163e+00 3.94797963e+00 2.64208551e+00 1.35791449e+00\n 2.50413135e+00 1.96800461e+00 2.13844630e+00 3.51840794e+00\n 2.91147467e+00 4.29962789e+00 4.40161989e+00 4.54265201e+00\n 1.35230267e+00 6.47697328e-01 2.70462712e+00 1.29537288e+00\n 3.80136409e+00 2.19863591e+00 1.74367154e+00 1.08475558e+00\n 8.12025152e-01 1.18797485e+00 6.67201378e-01 2.16122574e+00\n 2.07272095e+00 2.39941501e+00 3.57052544e+00 2.75402988e+00\n 3.18195990e+00 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5.74615660e+00 1.94648506e+00 5.35149399e-02\n 7.16839241e-01 2.11158788e+00 9.12226195e-01 3.55990977e+00\n 1.54446909e+00 4.78008623e+00 2.05827938e+00 6.18793188e+00\n 3.93280756e+00 6.71924433e-02 2.14448084e+00 2.32765512e+00\n 1.81739341e+00 3.83946083e+00 1.95505332e+00 5.25604924e+00\n 2.76675220e+00 6.17751970e+00 7.32586744e-01 1.26741326e+00\n 1.46517542e+00 2.53482458e+00 1.85950801e+00 4.14049199e+00\n 1.90654477e+00 9.21882347e-01 1.26522516e+00 7.34774837e-01\n 1.05558059e+00 1.77284653e+00 1.58251634e+00 2.88961962e+00\n 2.10062736e+00 4.22392796e+00 4.06140610e+00 4.10729857e-01\n 2.80841728e+00 1.19158272e+00 2.48993284e+00 1.98220312e+00\n 2.50386646e+00 3.15298778e+00 3.33150595e+00 3.87959661e+00\n 7.32588672e-01 1.26741133e+00 1.12692127e+00 2.87307873e+00\n 2.16374156e+00 2.30839440e+00 1.81773852e+00 1.01068860e+00\n 1.66156556e+00 3.38434443e-01 1.81773768e+00 1.01068944e+00\n 2.16373590e+00 2.30840006e+00 4.10717396e+00 1.54968028e+00\n 3.31810571e+00 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5.87806827e+00 9.74669620e-01 7.27154164e+00\n 4.04109397e-01 1.59589060e+00 8.08216628e-01 3.19178337e+00\n 9.12191506e-01 5.08780849e+00 2.28943544e+00 5.38991677e-01\n 1.54319212e+00 4.56807878e-01 1.10055416e+00 1.72787296e+00\n 1.05158041e+00 3.42055555e+00 1.53502502e+00 4.78953030e+00\n 4.04107231e-01 1.59589277e+00 5.08082109e-01 3.49191789e+00\n 1.85453180e+00 2.61760416e+00 1.44828987e+00 1.38013725e+00\n 1.65730830e+00 3.42691704e-01 1.44828587e+00 1.38014125e+00\n 1.85452601e+00 2.61760995e+00 1.03974878e-01 1.89602512e+00\n 1.53502899e+00 4.78952633e+00 1.05158373e+00 3.42055223e+00\n 1.10055695e+00 1.72787017e+00 1.54319257e+00 4.56807429e-01\n 2.28943215e+00 5.38994968e-01 9.74669168e-01 7.27154209e+00\n 4.46486352e-01 5.87806897e+00 2.29397696e-01 4.24273826e+00\n 2.79833245e-01 2.54859387e+00 1.98632253e+00 1.36774724e-02\n 7.48576813e-11 2.00000000e+00 1.92151138e-10 4.00000000e+00\n 3.09479041e-10 6.00000000e+00 3.84226442e-10 8.00000000e+00\n 1.17452589e-10 2.00000000e+00 2.34742407e-10 4.00000000e+00\n 3.09478103e-10 6.00000000e+00 1.17451150e-10 2.00000000e+00\n 1.92148435e-10 4.00000000e+00 7.48563135e-11 2.00000000e+00]"", ""info"": {""exitFlag"": 0, ""pcost"": -8.666666674091992, ""dcost"": -8.666666678186095, ""pres"": 3.0101224596313452e-15, ""dres"": 3.1148479168745997e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.6576192890317895, ""gap"": 4.126233126317331e-09, ""relgap"": 4.761038218594737e-10, ""r0"": 1e-08, ""iter"": 11, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.0014624999999999998, ""tsetup"": 0.0002705, ""tsolve"": 0.001192}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3050,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scsd1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:14,0.004907131195068359,OPTIMAL,8.666666674333365,8.666666674333364,1.7763568394002505e-15,1.2303768929472265e-16,4.716558104787949e-19,150,"{""solver_solve_time"": 0.0020482074469327927, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 8.666666674333364, ""solver_stats"": {""solve_time"": 0.0020482074469327927, ""num_iters"": 150, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3046,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,scsd1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:12,0.007135868072509766,OPTIMAL,8.666648751760219,8.666717597485187,-6.884572496801411e-05,1.1481668981557776e-05,1.4237310216974228e-08,500,"{""solver_solve_time"": 0.004653374, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 8.666717597485187, ""solver_stats"": {""solve_time"": 0.004653374, ""num_iters"": 500, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([ 2.32256996, -5.72067331, 2.26012146, -6.19886142, 1.99999701,\n -8.6667176 , 1.73986287, -6.19886051, 1.67741386, -5.72067126,\n 1.86318371, -5.6902621 , 1.85140275, -6.61190338, 1.99999236,\n -7.6667082 , 2.14858244, -6.61190465, 2.13680114, -5.69026127,\n 1.52320026, -4.82486402, 0.99999963, -5.66672974, 1.99999451,\n -6.66670593, 2.99998944, -5.66673223, 2.47678586, -4.82486498,\n 1.19067861, -3.86173379, 1.95790807, -4.66672923, 1.99999313,\n -5.87465894, 2.04208379, -4.66673173, 2.80930854, -3.86174265,\n 0.39808209, -2.90618678, 1.00001542, -3.66671892, 1.99999183,\n -4.89439915, 2.99996827, -3.66672146, 3.60190382, -2.90619108,\n 1.29466041, -1.97152173, 1.98457675, -2.88993389, 1.9999922 ,\n -4.09322086, 2.01540817, -2.8899334 , 2.70532487, -1.97152412,\n 0.55159132, -0.97789655, 1.51354305, -2.68677745, 1.99999255,\n -3.20334555, 2.48644126, -2.68677741, 3.44839518, -0.97789752,\n 0.99999582, -2.08139862, 1.99999564, -2.53889862, 2.99999545,\n -2.08140148, 3.99999127]), y=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 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0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -4.33680869e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.03541307e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -1.68051337e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -5.20417043e-18, -8.67361738e-19, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -5.42101086e-18,\n -4.90487860e-18, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -4.01154804e-18, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 1.10359769e-17, 0.00000000e+00, 0.00000000e+00, 2.16840434e-18,\n 5.24528123e-02, 0.00000000e+00, 2.69830249e-02, 0.00000000e+00,\n 3.32693951e-02, 0.00000000e+00, 5.39662368e-02, 0.00000000e+00,\n 6.39470755e-03, 0.00000000e+00, 1.27892276e-02, 0.00000000e+00,\n 3.32690819e-02, 0.00000000e+00, 6.39452006e-03, 0.00000000e+00,\n 2.69832120e-02, 0.00000000e+00, 5.24529373e-02, 0.00000000e+00]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-8.666717597485187, prim_res=4.7146651817930874e-05, dual_res=1.1993897805804668e-05, iter=500, rho_updates=0, rho_estimate=0.09913232585551317, setup_time=0.0003825, solve_time=0.004229583, update_time=0.0, polish_time=4.1291e-05, run_time=0.004653374))""}}, ""problem_class"": ""LP""}" +3049,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scsd1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:13,0.014541864395141602,OPTIMAL,8.500000005909879,8.666666674333367,-0.16666666842348832,0.0833333342117438,8.342738486416841e-12,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 8.666666674333367, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3044,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,scsd1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:10,0.0076329708099365234,OPTIMAL,8.66668599217274,8.666677883523896,8.1086488439297e-06,6.50635401919009e-06,6.975095208907728e-09,250,"{""solver_solve_time"": 0.004643875, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 8.666677883523896, ""solver_stats"": {""solve_time"": 0.004643875, ""setup_time"": 0.0005521660000000001, ""num_iters"": 250, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 2.3071307 -5.60894059 2.24490582 -6.12267508 2.00589319 -8.66667788\n 1.76786573 -6.1349751 1.70570184 -5.63367017 1.89099806 -5.64471995\n 1.69629992 -6.50125175 2.00024328 -7.66667316 2.30419451 -6.51288677\n 2.10947916 -5.66947309 1.61850061 -4.76560207 0.99424692 -5.66085955\n 1.99423115 -6.66667234 2.99423695 -5.67251329 2.36918425 -4.79197693\n 1.04352381 -3.78548073 1.94825508 -4.6608562 1.98169586 -5.95713651\n 2.02227075 -4.6725116 2.94094872 -3.79781159 0.20316007 -2.85890068\n 0.98252093 -3.66084523 1.98251953 -4.97091399 2.98252823 -3.67250708\n 3.77116339 -2.87225495 1.233184 -1.93013664 2.02408386 -3.02527891\n 1.98705831 -4.25188094 1.96740537 -3.01748985 2.73465462 -1.94278291\n 0.36195396 -0.94876561 1.32204257 -2.67285715 1.97610498 -3.35921824\n 2.63046894 -2.7206082 3.59002386 -0.95504663 0.99999955 -2.0936702\n 1.99999959 -2.5620284 2.99999972 -2.0529486 3.99999832]"", ""y"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 -2.77160756e-17\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 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0.00000000e+00 -2.81393442e-17 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 3.03848396e-17 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 2.12849082e-02 0.00000000e+00\n 3.70295017e-02 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 4.17525102e-02\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 7.48960306e-02 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 3.03848396e-17 0.00000000e+00\n 2.12914474e-02 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 1.38580378e-17 0.00000000e+00 -3.29601542e-17 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 -1.64800771e-17\n 0.00000000e+00 4.28599915e-01 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 4.28609590e-01 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 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-6.33333333 1.96225679 -5. 2.96225679 -3.\n 0.29559013 -2. 1.29559013 -4. 1.62892346\n -5.33333333 1.96225679 -4. 2.96225679 -2.\n 0.29559013 -1. 1.13498545 -3.04311971 1.62892346\n -4.33333333 2.12286491 -3.0431207 2.96225679 -1.\n 0.83091253 -2.23726264 1.62892346 -3.33333333 2.42693767\n -2.23726422 3.2578542 ]"", ""y"": ""[]"", ""z"": ""[2.28445215e-10 2.36345860e-10 9.07524338e-11 ... 6.51749106e-11\n 1.31875727e-09 1.28353996e-10]"", ""s"": ""[0.97024127 1.02975873 2.6172888 ... 3.62893074 0.16908347 1.83091653]"", ""info"": {""exitFlag"": 0, ""pcost"": -904.9999997860832, ""dcost"": -905.0000004411925, ""pres"": 1.4272609337744472e-14, ""dres"": 1.9392550112473915e-14, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.2571251945463096, ""gap"": 6.610997956198259e-07, ""relgap"": 7.304970119072834e-10, ""r0"": 1e-08, ""iter"": 12, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.0064789999999999995, ""tsetup"": 0.000580875, ""tsolve"": 0.005898125}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3068,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,scsd8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:27,0.03501296043395996,OPTIMAL,904.9999999254645,904.9999999254643,2.2737367544323206e-13,7.922035696756539e-16,3.9440594699078904e-17,935,"{""solver_solve_time"": 0.02631950005888939, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 904.9999999254643, ""solver_stats"": {""solve_time"": 0.02631950005888939, ""num_iters"": 935, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3064,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,scsd8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:23,0.42551493644714355,OPTIMAL (INACCURATE),905.0000801388811,905.0005575158373,-0.0004773769561552399,5.77535414230251e-06,5.351999959291572e-08,10000,"{""solver_solve_time"": 0.417820749, ""original_status"": {""cvxpy_status"": 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status_polish=0, obj_val=-905.0005575158375, prim_res=0.00042873583570468554, dual_res=4.366192091113957e-05, iter=10000, rho_updates=13, rho_estimate=0.10959078342319696, setup_time=0.000959416, solve_time=0.416861333, update_time=0.0, polish_time=0.0, run_time=0.417820749))""}}, ""problem_class"": ""LP""}" +3067,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,scsd8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:26,0.07158184051513672,OPTIMAL,859.9999999254643,904.9999999254644,-45.000000000000114,2.2982499551815043,1.604763341682279e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 904.9999999254644, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3062,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,scsd8,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 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6.49563054e-10 4.81940903e+00 3.34174973e-10\n 1.11201625e-09 1.47227643e-10 6.49999986e+00 6.49999986e+00\n 6.49999987e+00 6.49999986e+00 3.87948281e+00 1.14037220e+00\n 1.25220447e-09 2.76126886e-09 7.81261509e-10 7.09972293e-10\n 5.42969623e-10 6.04977372e-10 3.11964677e-10 2.84081610e-10\n 1.76307646e+00 3.93244746e-10 4.39806991e-10 8.14229844e-11\n 5.49999986e+00 5.49999986e+00 5.49999987e+00 5.49999986e+00\n 5.49999986e+00 4.14999990e+00 1.75848792e-09 3.23822490e-09\n 1.08967196e-09 1.01065162e-09 6.54801191e-10 5.69285253e-10\n 3.99510792e-10 2.19057064e-10 1.33050636e-09 1.68084663e-09\n 3.26669785e-10 9.28819698e-11 4.49999986e+00 4.49999986e+00\n 4.49999987e+00 4.49999986e+00 4.49999986e+00 4.49999986e+00\n 2.32067112e-09 3.41837521e-09 2.84134707e-09 1.46105759e-09\n 8.54301732e-10 5.25653666e-10 5.53069661e-10 2.29002657e-10\n 2.85127837e-09 3.18441266e-09 2.91978988e-10 9.14519539e-11\n 3.49999987e+00 3.49999987e+00 3.49999987e+00 3.49999986e+00\n 3.49999986e+00 3.49999987e+00 3.25250184e-09 5.72128714e-09\n 3.68873128e-02 2.16219077e-09 2.50227433e-09 6.38753092e-10\n 2.08493455e-09 2.43152195e-10 7.48825238e-09 3.71936175e-09\n 2.92019110e-10 1.01010727e-10 2.56809738e+00 2.49999987e+00\n 2.49999987e+00 2.49999987e+00 2.49999986e+00 2.49999987e+00\n 2.61986370e-02 1.10105655e-01 8.19508158e-02 6.97332050e-02\n 1.19662505e-01 1.70044771e-09 2.15444554e-09 4.26925242e-10\n 1.18128777e-01 8.39878974e-09 5.02343708e-10 1.20570847e-10\n 1.63368344e+00 1.62865576e+00 1.71274649e+00 1.73808999e+00\n 1.49999987e+00 1.49999988e+00 4.96288912e-02 8.70120972e-02\n 6.52217415e-02 1.00185750e-01 9.57884511e-02 1.03172142e-01\n 6.64612334e-02 5.91469603e-02 2.12097931e-01 4.22192571e-02\n 9.54364983e-10 2.10646932e-10 7.72007210e-01 7.32420215e-01\n 8.23704263e-01 8.46485821e-01 9.06593847e-01 8.56504515e-01\n 8.83863170e-02 1.17621680e-01 1.13302783e-01 9.34912798e-02\n 1.19029960e-01 1.17010293e-01 6.61823441e-02 5.65029253e-02\n 1.33214955e-03 5.56421853e-02 4.70677583e-02 9.34061169e-02]"", ""info"": {""exitFlag"": 0, ""pcost"": -1412.2499979128904, ""dcost"": -1412.2500006081953, ""pres"": 1.9971485030285623e-11, ""dres"": 6.525979316487296e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.0935918622367832, ""gap"": 3.876760277568249e-06, ""relgap"": 2.745094907627943e-09, ""r0"": 1e-08, ""iter"": 23, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.003048457, ""tsetup"": 0.000301291, ""tsolve"": 0.002747166}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3077,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,sctap1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:33,0.00526118278503418,OPTIMAL,1412.25,1412.25,0.0,1.629135849116607e-16,5.820364555584331e-20,163,"{""solver_solve_time"": 0.002167126163840294, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1412.25, ""solver_stats"": {""solve_time"": 0.002167126163840294, ""num_iters"": 163, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3073,cvxpy_osqp,unknown,NETLIB,sctap1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:30,0.12191486358642578,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3076,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,sctap1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:33,0.015645980834960938,OPTIMAL,1412.25,1412.25,0.0,1.8275350513295967,3.5864079817894123e-20,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1412.25, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" 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1.6557869999999957, ""accel_time"": 0.6736369999999994, ""rejected_accel_steps"": 9, ""accepted_accel_steps"": 13, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +3075,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,sctap1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:32,0.050492286682128906,OPTIMAL,1412.250012032338,1412.2499910018387,2.1030499283369863e-05,8.032887773245331e-11,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", 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3.459651700365364e-09, 3.4684093257555127e-09], ""termcode"": 0, ""iter"": 20, ""obj"": [1412.2500037374552, 1412.2499939622094], ""gap"": 9.799990541943696e-06, ""relgap"": 3.4684093257555127e-09, ""pinfeas"": 6.273329443790448e-13, ""dinfeas"": 1.0111501630936542e-12, ""cputime"": 0.36292200000002595, ""time"": {""preproc"": 0.03253100000000586, ""pred"": 0.2670740000000009, ""pred_pstep"": 0.0053580000000081895, ""pred_dstep"": 0.004703000000006341, ""corr"": 0.016453999999995972, ""corr_pstep"": 0.0021069999999738798, ""corr_dstep"": 0.0032740000000259784, ""pchol"": 0.007215000000002192, ""dchol"": 0.0030489999999900874, ""misc"": 0.02231499999999187}, ""resid"": [], ""reldist"": [], ""normX"": 195.35364624934996, ""normy"": 475.1933287971364, ""normZ"": 606.7439186598947, ""normb"": 109.30050784737807, ""maxb"": 41, ""normC"": 446.10672877412225, ""maxC"": 81, ""normA"": 689.3589180071687, ""msg1"": [], ""msg2"": ""stop: max(relative gap, infeasibilities) < 1.00e-08"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3436,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,sctap1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:48:47,0.21456283333333334,OPTIMAL,1412.2500000004356,1412.25,4.3564796214923263e-10,4.198882712848185e-12,7.498200990361391e-19,20,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.21456283333333334, ""setup_time"": [], ""iterations"": 20, 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1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:28,0.006983280181884766,OPTIMAL,1412.2499999999998,,,0.0,,378,"{""solver_solve_time"": 0.006983280181884766, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1412.2499999999998, ""scipy_nit"": 378, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3079,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 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0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:41,2.555205821990967,OPTIMAL,1724.8071511821572,1724.8071426675265,8.51463073558989e-06,4.090521478183201e-09,2.7434042341204055e-15,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1724.8071426675265, ""solver_stats"": {""solver_name"": ""CVXOPT""}}, ""problem_class"": ""LP""}" +3081,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:36,0.020169973373413086,OPTIMAL,1724.8071444520078,1724.8071424516083,2.000399490498239e-06,6.623216687316197e-10,1.135312088819795e-15,14,"{""solver_solve_time"": 0.008464875, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1724.8071424516083, ""solver_stats"": {""solve_time"": 0.008464875, ""setup_time"": 0.000730791, ""num_iters"": 14, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-4.07420885e-10 -4.07512885e-10 -4.06980959e-10 ... 6.22753241e-10\n 7.30848768e-10 3.12687266e-10]"", ""y"": ""[]"", ""z"": ""[1.00000000e+00 1.71424816e-10 5.03689009e-11 ... 5.07344875e-01\n 3.99456449e-01 2.05350318e+00]"", ""s"": ""[5.91300336e-10 3.30737311e+00 1.23396631e+01 ... 6.58300274e-10\n 7.66394144e-10 3.48233310e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": -1724.8071424516088, ""dcost"": -1724.8071444520062, ""pres"": 1.08539354241393e-11, ""dres"": 1.1195367866397288e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.6017513458577534, ""gap"": 7.276536157255735e-06, ""relgap"": 4.218753493166199e-09, ""r0"": 1e-08, ""iter"": 14, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.009195666, ""tsetup"": 0.000730791, ""tsolve"": 0.008464875}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3086,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:43,0.023261070251464844,OPTIMAL,1724.8071428571427,1724.807142857143,-2.2737367544323206e-13,8.013872064763073e-17,1.323397502561979e-20,485,"{""solver_solve_time"": 0.009701959788799286, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1724.807142857143, ""solver_stats"": {""solve_time"": 0.009701959788799286, ""num_iters"": 485, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3082,cvxpy_osqp,unknown,NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3085,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:43,0.05468916893005371,OPTIMAL,1724.8071428571427,1724.807142857143,-2.2737367544323206e-13,1.5814541402298767,1.9701367621794017e-20,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1724.807142857143, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3080,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:36,0.06602597236633301,OPTIMAL,1724.806883057989,1724.8068176084,6.54495888738893e-05,2.3137950232083507e-06,1.8750731256559228e-09,600,"{""solver_solve_time"": 0.051545666, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1724.8068176084, ""solver_stats"": {""solve_time"": 0.051545666, ""setup_time"": 0.001947833, ""num_iters"": 600, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-5.57921673e-07 3.63766039e-08 2.82557607e-07 ... -3.83308421e-08\n 7.09935889e-08 6.33756204e-08]"", ""y"": ""[0.99999972 0. 0. ... 1.22225654 1.14176372 2.69142559]"", ""s"": ""[ 0. 6.19538838 18.68718345 ... 0. 0.\n 0. ]"", ""info"": {""status_val"": 1, ""iter"": 600, ""scale_updates"": 0, ""scale"": 0.1, ""pobj"": -1724.8068176084, ""dobj"": -1724.8068830579891, ""res_pri"": 0.0006819376123056522, ""res_dual"": 9.37759591640864e-05, ""gap"": 6.544958911223618e-05, ""res_infeas"": NaN, ""res_unbdd_a"": 0.0463820072923999, ""res_unbdd_p"": 0.0, ""comp_slack"": 8.071691039032859e-15, ""solve_time"": 51.545666, ""setup_time"": 1.947833, ""lin_sys_time"": 42.848624999999984, ""cone_time"": 2.2340429999999936, ""accel_time"": 1.3422809999999978, ""rejected_accel_steps"": 4, ""accepted_accel_steps"": 5, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" 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""problem_class"": ""LP""}" +3439,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:49:03,0.32353825,OPTIMAL,1724.8071433448033,1724.8071424753307,8.69472614795086e-07,9.34771880488799e-11,0.0,21,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.32353825, ""setup_time"": [], ""iterations"": 21, ""primal_objective_value"": 1724.8071433448033, ""dual_objective_value"": 1724.8071424753307, ""duality_gap"": 8.69472614795086e-07, ""primal_infeasibility"": 9.34771880488799e-11, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:49:00"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": 0, ""iter"": 21, ""full_info"": {""dimacs"": [2.2627724704707473e-10, 0, 1.6849525329624562e-11, 0, 2.5197618243455217e-10, 3.162308783064217e-10], ""termcode"": 0, ""iter"": 21, ""obj"": [1724.8071433448033, 1724.8071424753307], ""gap"": 1.091190786301587e-06, ""relgap"": 3.162308783064217e-10, ""pinfeas"": 9.34771880488799e-11, ""dinfeas"": 1.50876710183836e-12, ""cputime"": 0.20298400000000005, ""time"": {""preproc"": 0.038194000000000006, ""pred"": 0.0857679999999999, ""pred_pstep"": 0.005669000000000146, ""pred_dstep"": 0.005458999999999881, ""corr"": 0.02448800000000012, ""corr_pstep"": 0.003296000000000021, ""corr_dstep"": 0.0041140000000000065, ""pchol"": 0.007921000000000011, ""dchol"": 0.00330899999999984, ""misc"": 0.02574500000000024}, ""resid"": [], ""reldist"": [], ""normX"": 189.9283827789354, ""normy"": 59.12465521177548, ""normZ"": 622.9817688512214, ""normb"": 123.4540730233176, ""maxb"": 51, ""normC"": 904.5872951740745, ""maxC"": 81, ""normA"": 1431.5418553820787, ""msg1"": [], ""msg2"": ""stop: max(relative gap, infeasibilities) < 1.00e-08"", ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 21, ""full_info"": {""dimacs"": [2.2627724704707473e-10, 0, 1.6849525329624562e-11, 0, 2.5197618243455217e-10, 3.162308783064217e-10], ""termcode"": 0, ""iter"": 21, ""obj"": [1724.8071433448033, 1724.8071424753307], ""gap"": 1.091190786301587e-06, ""relgap"": 3.162308783064217e-10, ""pinfeas"": 9.34771880488799e-11, ""dinfeas"": 1.50876710183836e-12, ""cputime"": 0.20298400000000005, ""time"": {""preproc"": 0.038194000000000006, ""pred"": 0.0857679999999999, ""pred_pstep"": 0.005669000000000146, ""pred_dstep"": 0.005458999999999881, ""corr"": 0.02448800000000012, ""corr_pstep"": 0.003296000000000021, ""corr_dstep"": 0.0041140000000000065, ""pchol"": 0.007921000000000011, ""dchol"": 0.00330899999999984, ""misc"": 0.02574500000000024}, ""resid"": [], ""reldist"": [], ""normX"": 189.9283827789354, ""normy"": 59.12465521177548, ""normZ"": 622.9817688512214, ""normb"": 123.4540730233176, ""maxb"": 51, ""normC"": 904.5872951740745, ""maxC"": 81, ""normA"": 1431.5418553820787, ""msg1"": [], ""msg2"": ""stop: max(relative gap, infeasibilities) < 1.00e-08"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3438,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:48:58,0.19380483333333334,OPTIMAL,1724.8071428583576,1724.807142857143,1.2146301742177457e-09,5.808017353654065e-12,8.286572208728176e-19,12,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.19380483333333334, ""setup_time"": [], ""iterations"": 12, ""primal_objective_value"": 1724.8071428583576, ""dual_objective_value"": 1724.807142857143, ""duality_gap"": 1.2146301742177457e-09, ""primal_infeasibility"": 5.808017353654065e-12, ""dual_infeasibility"": 8.286572208728176e-19, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:48:55"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 12, ""feasratio"": 1, ""full_info"": {""iter"": 12, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.4059085072752581e-11, ""timing"": [0.05868002772331238, 0.11624358594417572, 0.0023536384105682373], ""wallsec"": 0.17727725207805634, ""cpusec"": 0.3999999999999999}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 12, ""feasratio"": 1, ""full_info"": {""iter"": 12, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.4059085072752581e-11, ""timing"": [0.05868002772331238, 0.11624358594417572, 0.0023536384105682373], ""wallsec"": 0.17727725207805634, ""cpusec"": 0.3999999999999999}}, ""problem_class"": ""LP""}" +3078,scipy_linprog,scipy-1.15.3,NETLIB,sctap2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:34,0.03208184242248535,OPTIMAL,1724.807142857143,,,0.0,,921,"{""solver_solve_time"": 0.03208184242248535, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1724.807142857143, ""scipy_nit"": 921, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3088,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,sctap3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 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{""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:17:47,0.03637123107910156,OPTIMAL,1424.000000150422,1423.9999999645192,1.8590276340546552e-07,6.221752914521427e-11,1.0163438838347213e-16,14,"{""solver_solve_time"": 0.013371916, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1423.9999999645192, ""solver_stats"": {""solve_time"": 0.013371916, ""setup_time"": 0.001216666, ""num_iters"": 14, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-2.72669458e-11 -2.70784455e-11 -2.70721892e-11 ... 5.30339828e-11\n 5.17819329e-11 1.47202414e-10]"", ""y"": ""[]"", ""z"": ""[1.00000000e+00 1.31408121e-11 3.91635254e-12 ... 5.23381341e-01\n 5.83605048e-01 1.98120476e-01]"", ""s"": ""[4.34748025e-11 3.19734905e+00 1.13946981e+01 ... 5.83027412e-11\n 5.70565216e-11 1.52476324e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": -1423.9999999645192, ""dcost"": -1424.0000001504227, ""pres"": 9.536396785538817e-13, ""dres"": 1.0400088516402145e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.576022835178643, ""gap"": 7.304112927097162e-07, ""relgap"": 5.129292786010641e-10, ""r0"": 1e-08, ""iter"": 14, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.014588582, ""tsetup"": 0.001216666, ""tsolve"": 0.013371916}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3095,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,sctap3,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 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(HiGHS Status 7: Optimal)"", ""scipy_fun"": -76589.31857918568, ""scipy_nit"": 168, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3115,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,share2b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:14,0.003092050552368164,OPTIMAL,-415.73224074530367,-415.7322407404888,-4.814864951185882e-09,1.3397502942920112e-09,6.146127407800752e-12,14,"{""solver_solve_time"": 0.001061418, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -415.7322407404888, ""solver_stats"": {""solve_time"": 0.001061418, ""num_iters"": 14, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3119,cvxpy_cvxopt,unknown,NETLIB,share2b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:17,0.9354240894317627,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3117,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,share2b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:15,0.0026061534881591797,OPTIMAL,-415.7322407413391,-415.7322407326497,-8.689426067576278e-09,2.5384138602285057e-09,2.2267677230782293e-11,13,"{""solver_solve_time"": 0.00074575, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -415.7322407326497, 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1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:19,0.003614187240600586,OPTIMAL,-415.73224074141837,-415.73224074141876,3.979039320256561e-13,1.5422136126018506e-14,4.2914498246278455e-16,97,"{""solver_solve_time"": 0.0010393336415290833, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -415.73224074141876, ""solver_stats"": {""solve_time"": 0.0010393336415290833, ""num_iters"": 97, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3118,cvxpy_osqp,unknown,NETLIB,share2b,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": 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{""exitFlag"": 0, ""pcost"": -1208825345.9892757, ""dcost"": -1208825346.0208309, ""pres"": 9.725860206756312e-13, ""dres"": 1.1053410098984194e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.14407084033128545, ""gap"": 1.197756025881148, ""relgap"": 9.908429119683383e-10, ""r0"": 1e-08, ""iter"": 21, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.009536166, ""tsetup"": 0.000824833, ""tsolve"": 0.008711333}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3131,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:26,0.016547679901123047,OPTIMAL,1208825346.0,1208825346.0,0.0,0.0,0.0,422,"{""solver_solve_time"": 0.006522750481963158, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1208825346.0, ""solver_stats"": {""solve_time"": 0.006522750481963158, ""num_iters"": 422, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3127,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:23,0.3460361957550049,OPTIMAL (INACCURATE),1208877279.9451752,1208847863.4009602,29416.544214963913,6.090484364406326e-06,1.6385623749602785e-09,10000,"{""solver_solve_time"": 0.335819458, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 1208847863.4009602, ""solver_stats"": {""solve_time"": 0.335819458, ""num_iters"": 10000, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([-3.99993436e+03, 1.92442361e+02, 8.24333039e+01, 8.07309024e+01,\n 2.70437554e+02, -3.99998760e+03, 2.70437093e+02, 5.52923847e+01,\n -8.59882811e+01, -9.45573494e+01, 5.91784864e+01, 1.81439523e+02,\n 1.71065164e+02, -7.82915823e+01, 1.65703951e+01, 5.54323762e+01,\n 1.76224563e+02, 8.64340105e+01, 2.68435635e+02, -1.38049870e+01,\n 3.82861888e+01, 8.87271415e+01, -3.81153551e+02, -4.67184752e+01,\n -1.55501681e+02, 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-5.05716561e+02,\n -4.03070311e+02, -3.71034400e+02, -5.06056704e+02, -5.54227544e+02,\n -4.68213513e+02, -5.36558071e+02, -5.15848474e+02, -5.53869210e+02,\n -5.05292407e+02, -5.42372659e+02, -5.18054563e+02, -4.35099407e+01,\n -5.58226491e+02, -3.70795093e+02, -5.30676401e+02, -4.83366514e+02,\n -5.31795356e+02, -5.05292407e+02, -5.36163031e+02, -2.00363857e+02,\n -5.00791739e+02, -5.01721848e+02, -5.23156897e+02, -4.84397788e+02,\n -5.01116377e+02, -5.00792624e+02, -5.04074417e+02, -5.33483520e+02,\n -5.15308040e+02, -5.08423339e+02, -4.98162172e+02, -5.00755731e+02,\n -3.12871053e+02, -5.53567578e+02, -4.89442043e+02, -4.82892448e+02,\n -5.55962317e+02, -5.17954861e+02, -5.53567577e+02, -3.27738490e+02,\n -3.87642024e+02, -5.18054939e+02, -5.19301296e+02, -5.22717530e+02,\n -4.60604876e+02, -5.64329809e+02, -5.31703218e+02, 1.34122533e-04,\n 1.00351291e-04, -4.65918872e+02, -4.43957363e+02, -4.83039650e-04,\n -6.37685524e-06, 7.60903886e-04, -4.44823332e+02, -4.51307894e+02,\n -7.38248928e-05, -4.53098681e+02, 7.36659508e-05, 1.34521892e-04,\n -8.29747359e-07, -4.30735178e+02, 7.76513236e-05, -3.99012332e-06,\n -4.01619094e+02, 4.68335558e-05, -2.42510125e+02, -4.78448396e+02,\n -3.60724274e+02, -4.88510678e+02, -4.94473283e+02, -4.92858711e+02,\n -4.72943371e+02, -4.87409053e+02, -4.77870302e+02, 2.41508444e-05,\n -4.73901510e-06, 4.23269630e-05, -4.87308874e+02, -5.11302394e-05,\n 8.36366416e-07, -8.14121183e-06, 2.81110164e-05, 9.66795340e-06,\n 6.27481174e-05, 1.70540031e-05, 1.06128960e-05, -2.47185714e+02,\n -4.17238796e+02, -4.91267604e+02, -4.77958790e+02, -1.72565371e+01,\n -4.03181410e+02, -3.60908774e+02, -1.39583254e+02, -4.46363496e+02,\n -2.59912841e+02, -4.47396859e+02, -1.15291534e+02, -4.41439297e+02,\n -3.85290072e+02, -4.05678710e+02, -3.03026652e+02, -2.67632822e+01,\n -4.83034565e+02, -3.03109124e+02, -3.50516770e-04, -2.90465315e-04,\n -2.93223360e+00, -2.48998238e+00, -4.78938934e+01, -3.04037956e-05,\n 2.89066455e-04, -2.94723368e-05, -2.82665084e+00, -2.88018853e+00,\n -2.97157995e+00, -3.02119784e+00, -3.02297149e+00, -3.03478558e+00,\n -3.08157950e+00, -3.10015022e+00, -3.10686001e+00, -2.73535314e+00,\n -2.76445830e+00, -2.79732412e+00, -2.82614865e+00, 3.52197531e-04,\n -2.85911612e+00, -2.85720064e+00, -2.86841138e+00, -4.92562414e-05,\n -4.97276653e-05, -3.47010733e-05, -2.88576701e+00, -2.88110551e+00,\n -2.90486330e+00, -4.81207336e-05, -2.91641225e+00, -7.40526729e-05,\n -2.72552014e+00, -2.72439931e+00, -2.73548011e+00, -1.81601819e-05,\n -2.93530125e+00, -3.03429334e+00, -3.05396844e+00, -3.04877618e+00,\n -3.05084019e+00, -2.73476520e+00, -3.06167708e+00, -3.06825724e+00,\n -2.95326826e+00, -2.70264508e+00, -2.99311189e+00, -3.18583296e+00,\n -3.24689198e+00, -3.32229849e+00, -3.33716418e+00, -3.36372283e+00,\n -3.38042021e+00, -3.38866730e+00, -3.38904408e+00, -3.36747069e+00,\n -2.70667324e+00, -2.57153271e+00, -2.40495117e+00, -2.40162727e+00,\n -2.93209884e+00, -2.94120474e+00, -2.40972014e+00, -8.91684173e+00,\n -2.22440679e+00, -2.50212727e+00, -2.51638503e+00, -7.64838777e-06,\n -1.78434226e-04, -3.07016184e-04, -2.50346153e+00, -2.91903671e-05,\n -2.05196150e-05, -1.25315935e-04, -5.69911599e-05, -3.37746736e-05,\n -2.86907243e+00, -1.05158058e-04, -1.40044648e-04, -9.96913147e-05,\n -3.09273340e+00, -2.70451348e+00, -2.50499711e+00, -2.51836392e+00,\n -2.88182167e+00, -3.09273340e+00, -3.06896573e+00, -2.50474943e+00,\n -2.88821467e+00, -3.09273340e+00, -2.70051765e+00, -3.03512073e+00,\n -2.94359980e+00, -2.74217638e+00, -3.10880765e+00, -2.70190378e+00,\n -2.50536680e+00, -3.33022345e+00, -2.70051765e+00, -3.25105526e+00,\n -3.07231384e+00, -2.49425802e+00, -2.70208826e+00, -2.71039456e+00,\n -2.42524144e+00, -2.70208826e+00, -2.49425802e+00, -2.50329720e+00,\n -2.50499711e+00, -2.51836392e+00, -2.50474943e+00, -2.49425802e+00,\n -3.06440200e+00, -3.39563068e+00, -2.50717576e+00, -2.50474943e+00,\n -2.96913328e+00, -2.70893159e+00, -3.39563068e+00, -2.86199819e+00,\n -3.08978011e+00, -2.94359980e+00, -2.22527154e+00, -2.22473165e+00,\n -2.53212579e+00, -3.06896573e+00, -2.69896996e+00]), y=array([ 2.84306391e+05, 8.16689999e+04, 1.13937440e+03, ...,\n 0.00000000e+00, 0.00000000e+00, -1.65436123e-18], shape=(2144,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2144,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved inaccurate', status_val=2, status_polish=0, obj_val=-1208847863.4009597, prim_res=0.16594677931834667, dual_res=6.391402854022398, iter=10000, rho_updates=4, rho_estimate=1.9430822116583156e-05, setup_time=0.001144083, solve_time=0.334675375, update_time=0.0, polish_time=0.0, run_time=0.335819458))""}}, ""problem_class"": ""LP""}" +3130,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:25,0.03891897201538086,OPTIMAL,1208825346.0,1208825346.0,0.0,0.8209979541371544,0.0,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1208825346.0, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3125,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:21,0.28185510635375977,OPTIMAL,1208864092.0576096,1208863904.9615493,187.0960602760315,8.337178143001064e-06,1.5402034548411636e-08,4550,"{""solver_solve_time"": 0.271168166, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1208863904.9615493, ""solver_stats"": {""solve_time"": 0.271168166, ""setup_time"": 0.001537416, ""num_iters"": 4550, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-3.93421850e+03 2.56612628e+02 1.48702472e+02 4.56704600e+01\n 3.35684046e+02 -3.93346708e+03 3.35753522e+02 1.21671759e+02\n -1.95179962e+01 -3.05667632e+01 1.18848765e+02 2.46206697e+02\n 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""setup_time"": 1.537416, ""lin_sys_time"": 212.05909899999898, ""cone_time"": 25.52424000000055, ""accel_time"": 5.227596000000077, ""rejected_accel_steps"": 39, ""accepted_accel_steps"": 1, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +3129,cvxpy_sdpa,unknown,NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:24,0.10171222686767578,ERROR,,,,,,,"{""error_message"": ""Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3449,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:49:49,0.405735125,OPTIMAL,1208825360.567653,1208825342.8679662,17.699686765670776,4.405515284158053e-15,0.0,31,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.405735125, ""setup_time"": [], ""iterations"": 31, ""primal_objective_value"": 1208825360.567653, ""dual_objective_value"": 1208825342.8679662, ""duality_gap"": 17.699686765670776, ""primal_infeasibility"": 4.405515284158053e-15, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:49:47"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": 0, ""iter"": 31, ""full_info"": {""dimacs"": [9.48430390423873e-15, 0, 2.1804778363104442e-09, 0, 7.321027479294111e-09, 7.85732086121527e-09], ""termcode"": 0, ""iter"": 31, ""obj"": [1208825360.5676534, 1208825342.8679662], ""gap"": 18.996257315093786, ""relgap"": 7.85732086121527e-09, ""pinfeas"": 4.405515284158053e-15, ""dinfeas"": 7.419012520896048e-10, ""cputime"": 0.2818940000000012, ""time"": {""preproc"": 0.03826600000000013, ""pred"": 0.1261299999999821, ""pred_pstep"": 0.006624999999999659, ""pred_dstep"": 0.0074850000000026284, ""corr"": 0.04119200000000234, ""corr_pstep"": 0.005290000000016448, ""corr_dstep"": 0.005989999999982842, ""pchol"": 0.01116200000000589, ""dchol"": 0.004559999999997899, ""misc"": 0.036245000000008076}, ""resid"": [], ""reldist"": [], ""normX"": 979326.8614100746, ""normy"": 85951469883.55354, ""normZ"": 121553779100.69409, ""normb"": 1076414.7053298792, ""maxb"": 500001, ""normC"": 11920.748319490644, ""maxC"": 4056, ""normA"": 66.5133574166368, ""msg1"": ""linsysolve: Schur complement matrix not positive definite"", ""msg2"": ""stop: max(relative gap, infeasibilities) < 1.00e-08"", ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 31, ""full_info"": {""dimacs"": [9.48430390423873e-15, 0, 2.1804778363104442e-09, 0, 7.321027479294111e-09, 7.85732086121527e-09], ""termcode"": 0, ""iter"": 31, ""obj"": [1208825360.5676534, 1208825342.8679662], ""gap"": 18.996257315093786, ""relgap"": 7.85732086121527e-09, ""pinfeas"": 4.405515284158053e-15, ""dinfeas"": 7.419012520896048e-10, ""cputime"": 0.2818940000000012, ""time"": {""preproc"": 0.03826600000000013, ""pred"": 0.1261299999999821, ""pred_pstep"": 0.006624999999999659, ""pred_dstep"": 0.0074850000000026284, ""corr"": 0.04119200000000234, ""corr_pstep"": 0.005290000000016448, ""corr_dstep"": 0.005989999999982842, ""pchol"": 0.01116200000000589, ""dchol"": 0.004559999999997899, ""misc"": 0.036245000000008076}, ""resid"": [], ""reldist"": [], ""normX"": 979326.8614100746, ""normy"": 85951469883.55354, ""normZ"": 121553779100.69409, ""normb"": 1076414.7053298792, ""maxb"": 500001, ""normC"": 11920.748319490644, ""maxC"": 4056, ""normA"": 66.5133574166368, ""msg1"": ""linsysolve: Schur complement matrix not positive definite"", ""msg2"": ""stop: max(relative gap, infeasibilities) < 1.00e-08"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3448,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:49:45,0.329284625,OPTIMAL,1208825345.9999993,1208825346.0,7.152557373046875e-07,2.9525421234333787e-15,3.907490858812914e-20,29,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.329284625, ""setup_time"": [], ""iterations"": 29, ""primal_objective_value"": 1208825345.9999993, ""dual_objective_value"": 1208825346.0, ""duality_gap"": 7.152557373046875e-07, ""primal_infeasibility"": 2.9525421234333787e-15, ""dual_infeasibility"": 3.907490858812914e-20, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:49:42"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 29, ""feasratio"": 1, ""full_info"": {""iter"": 29, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 6.358499273887875e-15, ""timing"": [0.05844868719577789, 0.25104470551013947, 0.0029169023036956787], ""wallsec"": 0.31241029500961304, ""cpusec"": 1.1199999999999997}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 29, ""feasratio"": 1, ""full_info"": {""iter"": 29, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 6.358499273887875e-15, ""timing"": [0.05844868719577789, 0.25104470551013947, 0.0029169023036956787], ""wallsec"": 0.31241029500961304, ""cpusec"": 1.1199999999999997}}, ""problem_class"": ""LP""}" +3123,scipy_linprog,scipy-1.15.3,NETLIB,shell,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:20,0.019741058349609375,OPTIMAL,1208825346.0,,,0.0,,299,"{""solver_solve_time"": 0.019741058349609375, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1208825346.0, ""scipy_nit"": 299, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3133,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:27,0.015888214111328125,OPTIMAL,1793324.5461937701,1793324.5373051448,0.008888625307008624,3.7820482001582044e-08,7.87445517545112e-16,18,"{""solver_solve_time"": 0.009322295, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1793324.5373051448, ""solver_stats"": {""solve_time"": 0.009322295, ""num_iters"": 18, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3137,cvxpy_cvxopt,unknown,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:30,0.045240163803100586,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3135,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:28,0.013042211532592773,OPTIMAL,1793324.538075159,1793324.5379620602,0.0001130988821387291,4.819757864389157e-10,1.0787521452473818e-17,19,"{""solver_solve_time"": 0.006699041, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1793324.5379620602, ""solver_stats"": {""solve_time"": 0.006699041, ""setup_time"": 0.000966916, ""num_iters"": 19, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 4.50421116e+03 4.67265311e+03\n 4.73598673e+03 4.58000000e+03 4.82027646e+03 4.79455000e+03\n 4.57632200e+03 4.63149200e+03 4.71976400e+03 4.85339800e+03\n 4.68053200e+03 4.65846400e+03 0.00000000e+00 4.72466800e+03\n 4.90793400e+03 4.74428400e+03 4.64988200e+03 4.76512600e+03\n 4.77493400e+03 4.71853800e+03 4.97232000e+03 4.85462400e+03\n 4.78474200e+03 0.00000000e+00 5.00664800e+03 4.91102000e+03\n 4.83746000e+03 4.84849400e+03 4.82397400e+03 4.95270400e+03\n 4.68666200e+03 4.77248200e+03 5.12557000e+03 4.83868600e+03\n 4.72957200e+03 4.80190600e+03 4.66336800e+03 4.71731200e+03\n 4.70995600e+03 4.75286600e+03 4.79087200e+03 4.66091600e+03\n 4.74551000e+03 4.74551000e+03 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2.78788800e+03 2.89305600e+03\n 2.83108200e+03 2.98445200e+03 2.93437200e+03 0.00000000e+00\n 2.87114600e+03 2.90182000e+03 2.83108200e+03 2.94376200e+03\n 3.00514829e+03 2.93938000e+03 2.79602600e+03 2.97381000e+03\n 2.99572000e+03 2.47860542e+03 0.00000000e+00 2.98695600e+03\n 2.58059635e+03 2.77662000e+03 0.00000000e+00 0.00000000e+00\n 4.91334690e+03 5.42131200e+03 5.00749145e+03 4.67100000e+03\n 5.02041000e+03 4.93949400e+03 4.92478200e+03 4.97382200e+03\n 4.98117800e+03 5.11113400e+03 4.84141400e+03 4.91620000e+03\n 0.00000000e+00 4.91497400e+03 5.25457600e+03 5.02286200e+03\n 4.74088200e+03 4.85980400e+03 4.86593400e+03 4.80953800e+03\n 5.06332000e+03 4.94562400e+03 4.87574200e+03 0.00000000e+00\n 5.09764800e+03 5.00202000e+03 5.08171000e+03 5.03267000e+03\n 4.91497400e+03 5.04370400e+03 4.98117800e+03 4.86348200e+03\n 5.21657000e+03 4.92968600e+03 4.82057200e+03 5.12462000e+03\n 5.04370400e+03 5.04860800e+03 4.97627400e+03 5.03512200e+03\n 5.06822400e+03 4.91007000e+03 5.03389600e+03 5.05351200e+03\n 5.02899200e+03 5.21902200e+03 5.00692400e+03 4.95298000e+03\n 5.32276200e+03 5.11849000e+03 5.28720800e+03 5.01010986e+03\n 5.17611200e+03 5.09151800e+03 5.03144400e+03 5.11849000e+03\n 4.95788400e+03 5.09151800e+03 4.97014400e+03 5.05351200e+03\n 0.00000000e+00 0.00000000e+00 5.12339400e+03 5.02435305e+03\n 5.14668800e+03 5.35265600e+03 5.23128200e+03 5.53165200e+03\n 5.43357200e+03 0.00000000e+00 5.30974600e+03 5.36982000e+03\n 5.23128200e+03 5.45196200e+03 5.86145000e+03 5.44338000e+03\n 5.16262600e+03 5.51081000e+03 5.55372000e+03 5.12952400e+03\n 0.00000000e+00 5.53655600e+03 4.73990770e+03 5.12462000e+03\n 0.00000000e+00 0.00000000e+00 -1.26256180e-04 1.89336786e-09\n -3.42581458e+03 -1.59963651e-08 -4.40239638e-08 2.06688280e-09\n 1.72728062e-09 7.95761522e-10 -4.63648449e+01 -4.03468918e+01\n -6.60324702e+01 -2.51937940e-08 -8.01350293e+01 -1.01076018e+02\n -1.06790695e+02 -1.05996606e+02 -8.60197316e-07 -4.45886820e-07\n -6.32933538e+01 -6.99326390e+01 -4.95050973e+01 -9.87625636e+01\n -8.17983062e+01 -7.90688902e+01 -5.49520975e+01 -1.18450582e+01\n -4.82657880e+01 -3.21586380e-07 -5.02494159e+01 -4.99051852e+01\n -4.39463202e+01 -5.66886605e+01 -1.04321724e+02 -7.26980602e+00\n -6.75448337e+01 -1.19587221e-07 -1.16000000e+02 -8.42673501e+01\n -8.07681309e+01 -1.12520785e+02 3.13693799e-09 8.69924134e+01\n 1.01869481e-08 4.46338017e-08 1.60942867e-08 3.36093507e+02\n 5.06252898e+02 6.16479205e+01]"", ""y"": ""[]"", ""z"": ""[1.87378927e+02 2.86426754e+01 3.46314340e+01 ... 1.27907446e-10\n 8.47790299e-11 6.73020581e-10]"", ""s"": ""[2.29607200e-10 1.48842360e-09 1.28218031e-09 ... 3.36093507e+02\n 5.06252898e+02 6.16479205e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": -1793324.5379620618, ""dcost"": -1793324.5380751586, ""pres"": 8.601313209867074e-13, ""dres"": 1.385540754552277e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.25727332643640954, ""gap"": 0.00036036524567154644, ""relgap"": 2.0094814856047549e-10, ""r0"": 1e-08, ""iter"": 19, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.007665957, ""tsetup"": 0.000966916, ""tsolve"": 0.006699041}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3140,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:32,0.012125730514526367,OPTIMAL,1793324.5379703555,1793324.5379703557,-2.3283064365386963e-10,2.5873961111069837e-16,3.834541464941153e-21,358,"{""solver_solve_time"": 0.0058454181998968124, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1793324.5379703557, ""solver_stats"": {""solve_time"": 0.0058454181998968124, ""num_iters"": 358, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3136,cvxpy_osqp,unknown,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:29,0.2734086513519287,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3139,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:31,0.04358196258544922,OPTIMAL,1793238.9362343557,1793324.5379703557,-85.60173600004055,0.9500365330967733,3.797206656288114e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1793324.5379703557, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3134,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:28,0.14674997329711914,OPTIMAL,1793324.4345395854,1793326.6562952967,-2.221755711361766,4.0464145616993575e-06,2.155924974953993e-11,2700,"{""solver_solve_time"": 0.13842474999999999, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1793326.6562952967, ""solver_stats"": {""solve_time"": 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""full_info"": {""iter"": 17, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 2.9936838570319997e-12, ""timing"": [0.0644434243440628, 0.13358406722545624, 0.003822147846221924], ""wallsec"": 0.20184963941574097, ""cpusec"": 0.4500000000000002}}, ""problem_class"": ""LP""}" +3132,scipy_linprog,scipy-1.15.3,NETLIB,ship04l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:26,0.013056039810180664,OPTIMAL,1793324.5379703566,,,0.0,,382,"{""solver_solve_time"": 0.013056039810180664, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1793324.5379703566, ""scipy_nit"": 382, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3142,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:33,0.011592864990234375,OPTIMAL,1798714.7130677018,1798714.698719347,0.014348354889079928,6.583114104179022e-08,2.526815003602955e-15,15,"{""solver_solve_time"": 0.00651383, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1798714.698719347, ""solver_stats"": {""solve_time"": 0.00651383, ""num_iters"": 15, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3146,cvxpy_cvxopt,unknown,NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:36,0.07553791999816895,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3144,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:35,0.010867834091186523,OPTIMAL,1798714.7005293374,1798714.7004340766,9.526079520583153e-05,4.470255061284746e-10,1.844807679262856e-17,17,"{""solver_solve_time"": 0.005144791, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1798714.7004340766, ""solver_stats"": {""solve_time"": 0.005144791, ""setup_time"": 0.00064575, ""num_iters"": 17, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 4.57228266e+03 4.76372248e+03\n 4.79923862e+03 4.64537159e+03 4.89124819e+03 4.85992160e+03\n 4.64169360e+03 4.69686360e+03 4.78513560e+03 4.91876960e+03\n 4.74590360e+03 4.72383560e+03 0.00000000e+00 4.79003960e+03\n 4.98742560e+03 4.80965560e+03 4.80107360e+03 4.83049760e+03\n 4.84030559e+03 4.78390959e+03 5.03769159e+03 4.91999559e+03\n 4.85011359e+03 0.00000000e+00 5.32702759e+03 4.97639159e+03\n 4.90283160e+03 4.91386560e+03 4.88934559e+03 5.01807559e+03\n 4.75203360e+03 4.83785359e+03 5.29392559e+03 4.90405759e+03\n 4.79494359e+03 5.00411960e+03 4.72873960e+03 4.78268360e+03\n 4.77532760e+03 4.81823760e+03 4.85624360e+03 4.72628760e+03\n 4.81088160e+03 4.97837360e+03 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-6.70549433e+01 -4.82106872e+01 -1.16000000e+02\n -7.42285183e+01 -7.78547191e+01 -5.79999999e+01 -5.80000000e+01\n -4.55489380e+01 -4.59662012e-07 -5.79999997e+01 -5.79999996e+01\n -4.13173567e+01 -5.79999996e+01 -1.16000000e+02 -1.16000000e+02\n -6.22427067e+01 -1.63142184e-07 -1.16000000e+02 -1.16000000e+02\n -7.03240107e+01 -1.16000000e+02 3.94511490e-09 7.65080603e+01\n 1.30832225e-08 5.67097155e-08 2.07499480e-08 3.28702019e+02\n 4.93387495e+02 5.00753805e+01]"", ""y"": ""[]"", ""z"": ""[1.90917627e+02 2.51039738e+01 3.12443912e+01 ... 1.66863330e-10\n 1.09814253e-10 1.02566339e-09]"", ""s"": ""[2.87601331e-10 2.18504179e-09 1.74971390e-09 ... 3.28702019e+02\n 4.93387495e+02 5.00753805e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": -1798714.7004340766, ""dcost"": -1798714.7005293353, ""pres"": 9.284391024970619e-13, ""dres"": 1.2433158624255083e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.21799031499542101, ""gap"": 0.0003392945556986874, ""relgap"": 1.886316688337549e-10, ""r0"": 1e-08, ""iter"": 17, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.005790541, ""tsetup"": 0.00064575, ""tsolve"": 0.005144791}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3149,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:38,0.014221668243408203,OPTIMAL,1798714.7004453924,1798714.7004453924,0.0,1.390086425083479e-16,4.557918960472389e-21,270,"{""solver_solve_time"": 0.004160916432738304, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1798714.7004453924, ""solver_stats"": {""solve_time"": 0.004160916432738304, ""num_iters"": 270, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3145,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:35,0.05062985420227051,OPTIMAL,1798718.6910063173,1798715.0287694705,3.662236846750602,1.0765503379693236e-05,1.1307935723556766e-10,2550,"{""solver_solve_time"": 0.046095873999999995, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1798715.0287694705, ""solver_stats"": {""solve_time"": 0.046095873999999995, ""num_iters"": 2550, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 4.58477089e+03, 4.75204493e+03,\n 4.82076045e+03, 4.64588401e+03, 4.92336105e+03, 4.86042513e+03,\n 4.64219713e+03, 4.69736714e+03, 4.78563914e+03, 4.91927314e+03,\n 4.74640714e+03, 4.72433914e+03, 0.00000000e+00, 4.79054314e+03,\n 4.98792914e+03, 4.81015914e+03, 4.80157741e+03, 4.83100114e+03,\n 4.84081834e+03, 4.78442176e+03, 5.03820406e+03, 4.92050363e+03,\n 4.85062606e+03, 0.00000000e+00, 5.32763374e+03, 4.97690376e+03,\n 4.90333514e+03, 4.91436941e+03, 4.88985363e+03, 5.01858806e+03,\n 4.75253743e+03, 4.83836576e+03, 5.29453174e+03, 4.90456976e+03,\n 4.79545576e+03, 5.00462378e+03, 4.72924314e+03, 4.78318713e+03,\n 4.77583114e+03, 4.81874142e+03, 4.85674714e+03, 4.72679114e+03,\n 4.81138513e+03, 4.97887778e+03, 4.82732313e+03, 4.91682114e+03,\n 4.75131143e+03, 4.73292114e+03, 5.01980541e+03, 4.91191743e+03,\n 5.02348341e+03, 4.75376350e+03, 5.05658541e+03, 4.84326143e+03,\n 4.95727913e+03, 5.09459141e+03, 4.93643741e+03, 4.97689513e+03,\n 4.86900741e+03, 4.93643713e+03, 0.00000000e+00, 0.00000000e+00,\n 4.94256741e+03, 4.84087752e+03, 5.18051374e+03, 5.12166574e+03,\n 5.08856400e+03, 5.29453174e+03, 5.07507774e+03, 0.00000000e+00,\n 5.15589123e+03, 5.46984974e+03, 5.09459114e+03, 5.06159174e+03,\n 5.48333574e+03, 5.29575774e+03, 5.13755689e+03, 5.34602400e+03,\n 5.13392574e+03, 5.10440776e+03, 0.00000000e+00, 5.20748600e+03,\n 4.71428435e+03, 4.98915514e+03, 0.00000000e+00, 0.00000000e+00,\n 4.61845553e+03, 4.90317082e+03, 4.84782132e+03, 4.80675261e+03,\n 4.84161594e+03, 4.86242953e+03, 4.64420153e+03, 4.69937153e+03,\n 4.78764355e+03, 4.92127753e+03, 4.74841153e+03, 4.72634353e+03,\n 0.00000000e+00, 4.79254753e+03, 4.98993353e+03, 4.81216353e+03,\n 4.74702204e+03, 4.83300553e+03, 4.92250353e+03, 4.87777756e+03,\n 5.11253354e+03, 4.84290028e+03, 4.90533954e+03, 0.00000000e+00,\n 4.90012110e+03, 4.87777756e+03, 4.90533953e+03, 4.74194091e+03,\n 4.89185353e+03, 4.83809132e+03, 4.75454145e+03, 4.87777756e+03,\n 5.39357120e+03, 4.87777756e+03, 4.87777756e+03, 5.00662889e+03,\n 4.73124753e+03, 4.75111266e+03, 4.77783553e+03, 4.82074544e+03,\n 4.85875153e+03, 4.72879553e+03, 4.81338953e+03, 4.98088289e+03,\n 4.82932753e+03, 4.91882553e+03, 4.75331545e+03, 4.73492553e+03,\n 4.74194091e+03, 4.61575042e+03, 4.74194091e+03, 4.75576823e+03,\n 4.74194091e+03, 4.84526545e+03, 4.95928353e+03, 4.74194091e+03,\n 4.74194091e+03, 4.84425127e+03, 4.87101146e+03, 4.84425127e+03,\n 0.00000000e+00, 0.00000000e+00, 4.94457146e+03, 4.83500256e+03,\n 5.27955320e+03, 5.22070520e+03, 5.13950554e+03, 5.39357120e+03,\n 5.17411720e+03, 0.00000000e+00, 5.15789547e+03, 5.56888920e+03,\n 5.09659553e+03, 5.16063120e+03, 5.58237520e+03, 5.39479720e+03,\n 5.15176554e+03, 5.44506291e+03, 5.23296520e+03, 4.87777756e+03,\n 0.00000000e+00, 5.30652491e+03, 4.80902147e+03, 4.99115953e+03,\n 0.00000000e+00, 0.00000000e+00, 2.81465073e+03, 3.06755759e+03,\n 2.87662828e+03, 2.68444394e+03, 2.86285400e+03, 2.82153794e+03,\n 2.81402594e+03, 2.83906594e+03, 2.84282195e+03, 2.90917794e+03,\n 2.77145794e+03, 2.80964394e+03, 0.00000000e+00, 2.80901794e+03,\n 2.98241994e+03, 2.86410594e+03, 2.79627821e+03, 2.78084794e+03,\n 2.78397794e+03, 2.75518194e+03, 2.88476395e+03, 2.82466794e+03,\n 2.78898595e+03, 0.00000000e+00, 3.39286114e+03, 2.68267325e+03,\n 2.89415394e+03, 2.98470609e+03, 2.80901794e+03, 2.86798589e+03,\n 2.94213559e+03, 2.78272594e+03, 3.37595914e+03, 2.81652994e+03,\n 2.68267325e+03, 3.01287644e+03, 2.87474794e+03, 2.87725194e+03,\n 2.84031794e+03, 2.97593956e+03, 2.88726794e+03, 2.80651394e+03,\n 2.86973994e+03, 2.99973044e+03, 2.86723594e+03, 2.96426594e+03,\n 2.94150959e+03, 2.82842394e+03, 2.89568117e+03, 2.87066141e+03,\n 2.89568117e+03, 2.88601620e+03, 2.89568117e+03, 2.87066141e+03,\n 2.86848794e+03, 2.89568117e+03, 3.02602209e+03, 2.89916194e+03,\n 3.00160557e+03, 2.87525197e+03, 0.00000000e+00, 0.00000000e+00,\n 2.89568117e+03, 2.87641943e+03, 3.31774114e+03, 3.28769314e+03,\n 2.97052595e+03, 3.37595914e+03, 3.26390514e+03, 0.00000000e+00,\n 3.01058998e+03, 3.46547714e+03, 2.97052594e+03, 3.25701914e+03,\n 3.12239523e+03, 3.37658514e+03, 2.93546995e+03, 3.11325395e+03,\n 3.29395314e+03, 2.68267325e+03, 0.00000000e+00, 3.12639995e+03,\n 2.72137704e+03, 2.91606394e+03, 0.00000000e+00, 0.00000000e+00,\n 4.99184169e+03, 5.48715414e+03, 5.11294908e+03, 4.73684022e+03,\n 5.08625868e+03, 5.00533421e+03, 4.99062221e+03, 5.03966222e+03,\n 5.04701819e+03, 5.17697422e+03, 4.90725422e+03, 4.98204022e+03,\n 0.00000000e+00, 4.98081422e+03, 5.32041622e+03, 5.08870222e+03,\n 4.95827736e+03, 4.92564422e+03, 4.93177422e+03, 4.87537830e+03,\n 5.12916020e+03, 5.01146422e+03, 4.94158220e+03, 0.00000000e+00,\n 6.12665793e+03, 5.06786030e+03, 5.14755022e+03, 5.32731889e+03,\n 4.98081422e+03, 5.10954420e+03, 5.24392143e+03, 4.92932230e+03,\n 6.09355593e+03, 4.99552630e+03, 4.88641230e+03, 5.38247046e+03,\n 5.10954422e+03, 5.11444821e+03, 5.04211422e+03, 5.31012536e+03,\n 5.13406422e+03, 4.97591022e+03, 5.09973621e+03, 5.35672446e+03,\n 5.09483221e+03, 5.28486222e+03, 5.24269543e+03, 5.01882022e+03,\n 5.38861889e+03, 5.40330143e+03, 5.35306489e+03, 5.13161130e+03,\n 5.42785089e+03, 5.33464543e+03, 5.09728421e+03, 5.36900289e+03,\n 5.40823489e+03, 5.15735821e+03, 5.36039120e+03, 5.11935221e+03,\n 0.00000000e+00, 0.00000000e+00, 5.38861889e+03, 5.13852971e+03,\n 5.97953793e+03, 5.92068993e+03, 5.29712220e+03, 6.09355593e+03,\n 5.87410193e+03, 0.00000000e+00, 5.37558626e+03, 6.26887393e+03,\n 5.29712222e+03, 5.86061593e+03, 6.28235993e+03, 6.09478193e+03,\n 5.22846620e+03, 5.57665020e+03, 5.93294993e+03, 5.19536430e+03,\n 0.00000000e+00, 5.60239620e+03, 4.80917475e+03, 5.19046022e+03,\n 0.00000000e+00, 0.00000000e+00, -4.74097442e+03, 1.33761840e-06,\n -3.42839051e+03, 8.89191201e-04, -6.03696774e-04, -4.32859111e-06,\n 3.34168836e-07, 3.16574430e-06, -3.16805436e+01, -5.20868070e+01,\n -6.34930013e+01, 2.44816407e-04, -1.11564459e+02, -1.16000286e+02,\n -1.09680632e+02, -1.14577167e+02, 7.37294592e-05, -3.78958873e-04,\n -3.43908604e+01, -7.41541796e+01, -2.67299973e+01, -1.16000662e+02,\n -1.87015802e+01, -6.94848098e+01, -5.79988603e+01, -5.80015449e+01,\n -3.86244904e+00, 1.18355997e-06, -5.80000677e+01, -5.80002426e+01,\n -3.51481917e+00, -5.79991604e+01, -1.15993749e+02, -1.16001788e+02,\n -1.18909605e+01, -7.55144219e-05, -1.16007974e+02, -1.15999154e+02,\n -1.27533700e+01, -1.16000502e+02, 2.46860075e-04, 3.27005900e-02,\n -3.86343515e-05, 8.89191201e-04, -6.03696774e-04, 8.53908789e+01,\n 1.31953512e+02, 4.39058489e+01]), y=array([ 1.90904227e+02, 2.51033893e+01, 3.11062594e+01, ...,\n -7.50374823e-17, 0.00000000e+00, 0.00000000e+00], shape=(1506,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1506,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 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""maxb"": 127, ""normC"": 24092.55318136487, ""maxC"": 7367, ""normA"": 68.72986951778036, ""msg1"": ""linsysolve: Schur complement matrix not positive definite"", ""msg2"": [], ""msg3"": ""sqlp stop: maximum number of iterations reached"", ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -6, ""iter"": 100, ""full_info"": {""dimacs"": [1.4754307188798692, 0, 1.7778519057887468e-10, 0, 3.848051286750548e-05, 7.430076858915295e-05], ""termcode"": -6, ""iter"": 100, ""obj"": [3.848199367435823e-05, 0], ""gap"": 7.43036278308598e-05, ""relgap"": 7.430076858915295e-05, ""pinfeas"": 1.2157037462128397, ""dinfeas"": 5.4363001261635955e-11, ""cputime"": 3.5885060000000006, ""time"": {""preproc"": 0.02624599999999866, ""pred"": 2.332474000000005, ""pred_pstep"": 0.012041999999997444, ""pred_dstep"": 0.012707999999996389, ""corr"": 1.0934609999999925, ""corr_pstep"": 0.008483000000005347, ""corr_dstep"": 0.010947000000001594, ""pchol"": 0.020563999999998472, ""dchol"": 0.00846900000000339, ""misc"": 0.06572499999999515}, ""resid"": [], ""reldist"": [], ""normX"": 153.19726014240013, ""normy"": 0, ""normZ"": 24091.553182086605, ""normb"": 154.13270040622038, ""maxb"": 127, ""normC"": 24092.55318136487, ""maxC"": 7367, ""normA"": 68.72986951778036, ""msg1"": ""linsysolve: Schur complement matrix not positive definite"", ""msg2"": [], ""msg3"": ""sqlp stop: maximum number of iterations reached"", ""model"": 1}}, ""problem_class"": ""LP""}" +3452,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:50:06,0.22983841666666666,OPTIMAL,1798714.7004456664,1798714.7004453922,2.742744982242584e-07,4.377244743956286e-12,9.53041441305818e-21,17,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.22983841666666666, ""setup_time"": [], ""iterations"": 17, ""primal_objective_value"": 1798714.7004456664, ""dual_objective_value"": 1798714.7004453922, ""duality_gap"": 2.742744982242584e-07, ""primal_infeasibility"": 4.377244743956286e-12, ""dual_infeasibility"": 9.53041441305818e-21, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:50:03"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 17, ""feasratio"": 1, ""full_info"": {""iter"": 17, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 5.311970742293917e-12, ""timing"": [0.06689764559268951, 0.14178156852722168, 0.002514570951461792], ""wallsec"": 0.21119378507137299, ""cpusec"": 0.46999999999999975}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 17, ""feasratio"": 1, ""full_info"": {""iter"": 17, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 5.311970742293917e-12, ""timing"": [0.06689764559268951, 0.14178156852722168, 0.002514570951461792], ""wallsec"": 0.21119378507137299, ""cpusec"": 0.46999999999999975}}, ""problem_class"": ""LP""}" +3141,scipy_linprog,scipy-1.15.3,NETLIB,ship04s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:33,0.009490966796875,OPTIMAL,1798714.7004453922,,,0.0,,278,"{""solver_solve_time"": 0.009490966796875, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1798714.7004453922, ""scipy_nit"": 278, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3151,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:40,0.04206490516662598,OPTIMAL,1909055.212256987,1909055.2113347067,0.0009222803637385368,2.435350702975491e-09,4.6377972299980025e-17,19,"{""solver_solve_time"": 0.023197164, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1909055.2113347067, ""solver_stats"": {""solve_time"": 0.023197164, ""num_iters"": 19, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3155,cvxpy_cvxopt,unknown,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:44,0.2043299674987793,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3153,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:42,0.037113189697265625,OPTIMAL,1909055.21226893,1909055.211334788,0.0009341419208794832,2.469394536214852e-09,4.8313041065316116e-17,19,"{""solver_solve_time"": 0.015002916, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1909055.211334788, 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-3.00270794e+01\n -5.89616269e+01 -7.79999977e+01 -5.83186503e+01 -7.79999982e+01\n -6.41394648e+01 -6.07606712e+01 -5.20209733e+01 -3.77520795e+01\n -4.51969640e+01 -4.59818708e+01 -4.02939840e+01 -5.23877455e+01\n -6.05904122e+01 -5.00151229e+01 -4.14067309e-09 6.20077170e+01\n 5.67821252e-08 3.19677737e-08 7.15134433e-08 1.86581017e+02\n 1.29640963e+02 6.89853559e+01]"", ""y"": ""[]"", ""z"": ""[5.26709713e-02 5.13194008e+01 3.01117120e+01 ... 1.00878752e-09\n 1.45604177e-09 2.61592679e-09]"", ""s"": ""[3.47515441e-06 3.71006789e-09 6.29790722e-09 ... 1.86581017e+02\n 1.29640963e+02 6.89853559e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": -1909055.21133479, ""dcost"": -1909055.2122689304, ""pres"": 4.82181983994533e-12, ""dres"": 9.037743183745271e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.21463437695854548, ""gap"": 0.0037144525939279797, ""relgap"": 1.945702026779454e-09, ""r0"": 1e-08, ""iter"": 19, ""mi_iter"": -1, ""infostring"": ""Optimal solution 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0.00000000e+00, 5.61686307e+03, 5.48207194e+03,\n 5.26135172e+03, 5.06915194e+03, 5.49571285e+03, 5.30599172e+03,\n 5.14603194e+03, 5.35683194e+03, 5.14231211e+03, 5.29855194e+03,\n 0.00000000e+00, 5.21671194e+03, 5.10109070e+03, 5.04683172e+03,\n 0.00000000e+00, 0.00000000e+00, 5.24147525e+03, 5.41019434e+03,\n 5.53512196e+03, 5.46006156e+03, 5.52700418e+03, 5.48730747e+03,\n 5.28125853e+03, 5.33705844e+03, 5.42633846e+03, 5.56149844e+03,\n 5.38665844e+03, 5.36433844e+03, 0.00000000e+00, 5.41259654e+03,\n 5.60735436e+03, 5.45113844e+03, 5.43108250e+03, 5.45739801e+03,\n 5.47924053e+03, 5.48476702e+03, 5.75493837e+03, 5.47924053e+03,\n 5.48476702e+03, 5.24417794e+03, 5.47924053e+03, 5.51870293e+03,\n 5.54537844e+03, 5.48730747e+03, 5.53173844e+03, 5.48476702e+03,\n 5.39285844e+03, 5.48476702e+03, 5.86653837e+03, 5.48476702e+03,\n 5.48476702e+03, 5.50941844e+03, 5.36929844e+03, 5.42385853e+03,\n 5.41641844e+03, 5.45981844e+03, 5.49825844e+03, 5.36681844e+03,\n 5.45237853e+03, 5.45237844e+03, 5.46849853e+03, 5.55901844e+03,\n 5.39161844e+03, 5.37301844e+03, 5.48730747e+03, 5.49320051e+03,\n 5.49320051e+03, 5.38326466e+03, 5.48730747e+03, 5.48461844e+03,\n 5.59993853e+03, 5.48730747e+03, 5.48730747e+03, 5.61977853e+03,\n 5.48730747e+03, 5.48730747e+03, 0.00000000e+00, 0.00000000e+00,\n 5.48730747e+03, 5.49136573e+03, 5.79088673e+03, 5.73135471e+03,\n 5.69787471e+03, 5.90619471e+03, 5.68423471e+03, 0.00000000e+00,\n 5.80081812e+03, 5.98309837e+03, 5.73881844e+03, 5.67059471e+03,\n 6.09715628e+03, 5.82809844e+03, 5.74747471e+03, 5.95827471e+03,\n 5.74375502e+03, 5.48476702e+03, 0.00000000e+00, 5.81815471e+03,\n 5.46218651e+03, 5.63217844e+03, 0.00000000e+00, 0.00000000e+00,\n 2.52500052e+02, 2.52499493e+02, 2.52535127e+02, 2.52725310e+02,\n 2.52537225e+02, 2.52539974e+02, 2.52539974e+02, 2.52538497e+02,\n 2.52539762e+02, 2.52538497e+02, 2.52538497e+02, 2.52538497e+02,\n 0.00000000e+00, 2.52538497e+02, 2.52538497e+02, 2.52538497e+02,\n 2.52539762e+02, 2.52538497e+02, 2.52538497e+02, 2.52538004e+02,\n 2.52538004e+02, 2.52538497e+02, 2.52538004e+02, 2.49379901e+02,\n 2.52538497e+02, 2.52602124e+02, 2.52538497e+02, 2.52539974e+02,\n 2.52538497e+02, 2.52538004e+02, 2.52538497e+02, 2.52538004e+02,\n 2.52538004e+02, 2.52538004e+02, 2.52538004e+02, 2.52538497e+02,\n 2.52538497e+02, 2.52539974e+02, 2.52538497e+02, 2.52538497e+02,\n 2.52538497e+02, 2.52538497e+02, 2.52539974e+02, 2.52538497e+02,\n 2.52539974e+02, 2.52538497e+02, 2.52538497e+02, 2.52538497e+02,\n 2.52539974e+02, 2.52539762e+02, 2.52539762e+02, 2.52533569e+02,\n 2.52539974e+02, 2.52538497e+02, 2.52539974e+02, 2.52539974e+02,\n 2.52539974e+02, 2.52539974e+02, 2.52539974e+02, 2.52539974e+02,\n 0.00000000e+00, 0.00000000e+00, 2.52539974e+02, 2.52532667e+02,\n 2.52538004e+02, 2.52538004e+02, 2.52538004e+02, 2.52538004e+02,\n 2.52538004e+02, 0.00000000e+00, 2.52545400e+02, 2.52538004e+02,\n 2.52538497e+02, 2.52538004e+02, 2.49379386e+02, 2.52538497e+02,\n 2.52538004e+02, 2.52538004e+02, 2.52537542e+02, 2.52538004e+02,\n 0.00000000e+00, 2.52538004e+02, 2.52535127e+02, 2.52538497e+02,\n 0.00000000e+00, 0.00000000e+00, 4.99535654e+03, 4.64846464e+03,\n 5.26755408e+03, 5.01178632e+03, 5.40649793e+03, 5.33651419e+03,\n 5.07284016e+03, 5.14708956e+03, 5.26588950e+03, 4.90916466e+03,\n 5.21308956e+03, 5.18338956e+03, 0.00000000e+00, 5.27248956e+03,\n 4.91081466e+03, 5.11046466e+03, 5.10583678e+03, 5.24411466e+03,\n 5.27413684e+03, 5.19823726e+03, 5.25566506e+03, 5.38138684e+03,\n 5.28733726e+03, 5.02765608e+03, 5.35301466e+03, 5.45728926e+03,\n 5.11706466e+03, 5.43914016e+03, 5.34013684e+03, 5.36786506e+03,\n 5.22133956e+03, 5.27083726e+03, 5.30846506e+03, 5.35993726e+03,\n 5.21308726e+03, 5.37643956e+03, 5.18998956e+03, 5.05106419e+03,\n 5.20781466e+03, 5.27216466e+03, 5.14346466e+03, 5.18668956e+03,\n 5.30037647e+03, 5.27381466e+03, 5.32199016e+03, 5.09891466e+03,\n 5.21968956e+03, 5.19493956e+03, 5.53121419e+03, 5.43583950e+03,\n 5.55596460e+03, 5.14346423e+03, 5.63054016e+03, 5.34343956e+03,\n 5.43881419e+03, 5.60381419e+03, 5.39788635e+03, 5.50811419e+03,\n 5.37809016e+03, 5.46884016e+03, 0.00000000e+00, 0.00000000e+00,\n 5.46356419e+03, 5.34394065e+03, 5.15501506e+03, 5.07581506e+03,\n 5.03126506e+03, 5.30846506e+03, 5.01311506e+03, 0.00000000e+00,\n 5.76418911e+03, 5.54441506e+03, 5.25071466e+03, 4.99496506e+03,\n 5.56256690e+03, 5.31011466e+03, 5.09726506e+03, 5.37776506e+03,\n 5.09231536e+03, 5.30021506e+03, 0.00000000e+00, 5.19131506e+03,\n 5.08511455e+03, 4.96526466e+03, 0.00000000e+00, 0.00000000e+00,\n 4.80042636e+03, 5.02340604e+03, 4.89175997e+03, 4.54483893e+03,\n 4.89516942e+03, 4.81420892e+03, 4.79944892e+03, 4.84864892e+03,\n 4.85602891e+03, 4.98640892e+03, 4.71580892e+03, 4.79083892e+03,\n 0.00000000e+00, 4.78960892e+03, 5.13031892e+03, 4.89784892e+03,\n 4.61494891e+03, 4.73425892e+03, 4.74040892e+03, 4.68382891e+03,\n 4.93843891e+03, 4.82035892e+03, 4.75024891e+03, 4.86627283e+03,\n 4.97287892e+03, 4.87693850e+03, 4.95688892e+03, 4.90768892e+03,\n 4.78960892e+03, 4.91875891e+03, 4.85602892e+03, 4.73794891e+03,\n 5.09218891e+03, 4.80436891e+03, 4.69489891e+03, 4.99993892e+03,\n 4.91875892e+03, 4.92367892e+03, 4.85110892e+03, 4.91014892e+03,\n 4.94335892e+03, 4.78468892e+03, 4.90891892e+03, 4.92859892e+03,\n 4.90399892e+03, 5.09464892e+03, 4.88185892e+03, 4.82773892e+03,\n 5.01346892e+03, 4.99378891e+03, 4.96057891e+03, 4.88526832e+03,\n 5.05159892e+03, 4.96672892e+03, 4.90645892e+03, 4.99378892e+03,\n 4.83265892e+03, 4.96672892e+03, 4.84495892e+03, 4.92859892e+03,\n 0.00000000e+00, 0.00000000e+00, 4.99870892e+03, 4.91217857e+03,\n 5.02207891e+03, 5.22871891e+03, 5.10694891e+03, 5.40829891e+03,\n 5.30989891e+03, 0.00000000e+00, 5.18566891e+03, 5.24593891e+03,\n 5.10694892e+03, 5.32834891e+03, 5.08621308e+03, 5.31973892e+03,\n 5.03806891e+03, 5.38738891e+03, 5.43043890e+03, 4.99054975e+03,\n 0.00000000e+00, 5.41321891e+03, 4.61737969e+03, 4.99993892e+03,\n 0.00000000e+00, 0.00000000e+00, 4.90856690e+03, 4.58401518e+03,\n 5.02246801e+03, 5.13318768e+03, 5.11912833e+03, 5.03942067e+03,\n 4.90317067e+03, 4.99473064e+03, 5.00236056e+03, 4.75711064e+03,\n 5.10205134e+03, 4.95440064e+03, 0.00000000e+00, 5.03397064e+03,\n 4.75820064e+03, 4.89009064e+03, 5.13534056e+03, 4.97838064e+03,\n 5.25683134e+03, 5.20996181e+03, 4.98601053e+03, 5.21491064e+03,\n 5.17458053e+03, 4.97477201e+03, 5.05032064e+03, 5.50551363e+03,\n 4.89445064e+03, 5.20510067e+03, 5.09065064e+03, 5.06013053e+03,\n 4.96748064e+03, 5.10591053e+03, 5.02089053e+03, 5.29884053e+03,\n 5.06994053e+03, 5.07321064e+03, 4.95767064e+03, 4.85085067e+03,\n 4.95440064e+03, 4.99691064e+03, 4.91189064e+03, 5.03615064e+03,\n 5.01544067e+03, 4.99800064e+03, 5.06013067e+03, 4.88246064e+03,\n 4.99146064e+03, 4.95440064e+03, 5.16804067e+03, 5.24920126e+03,\n 5.18439056e+03, 4.91188664e+03, 5.27813067e+03, 5.06994064e+03,\n 5.10700067e+03, 5.21600067e+03, 5.15169067e+03, 5.15278067e+03,\n 5.12771067e+03, 5.18439067e+03, 0.00000000e+00, 0.00000000e+00,\n 5.12335067e+03, 5.13635481e+03, 4.91952053e+03, 4.86720053e+03,\n 4.83777053e+03, 5.02089053e+03, 4.82578053e+03, 0.00000000e+00,\n 5.41607270e+03, 5.17676053e+03, 4.98274064e+03, 4.81379053e+03,\n 4.57471846e+03, 5.02198064e+03, 4.88137053e+03, 5.06667053e+03,\n 4.87810049e+03, 5.01544053e+03, 0.00000000e+00, 4.94350053e+03,\n 5.10138994e+03, 4.79417064e+03, 0.00000000e+00, 0.00000000e+00,\n 2.73104312e+02, 2.73103790e+02, 2.73139928e+02, 2.73495051e+02,\n 2.73141785e+02, 2.73141559e+02, 2.73141559e+02, 2.73139420e+02,\n 2.73140968e+02, 2.73139420e+02, 2.73139420e+02, 2.73139420e+02,\n 0.00000000e+00, 2.73139420e+02, 2.73139420e+02, 2.73139420e+02,\n 2.73140968e+02, 2.73139420e+02, 2.73139420e+02, 2.73138375e+02,\n 2.73138375e+02, 2.73139420e+02, 2.73138375e+02, 2.70022246e+02,\n 2.73139420e+02, 2.73187026e+02, 2.73139420e+02, 2.73141559e+02,\n 2.73139420e+02, 2.73138375e+02, 2.73139420e+02, 2.73138375e+02,\n 2.73138375e+02, 2.73138375e+02, 2.73138375e+02, 2.73139420e+02,\n 2.73139420e+02, 2.73141559e+02, 2.73139420e+02, 2.73139420e+02,\n 2.73139420e+02, 2.73139420e+02, 2.73141559e+02, 2.73139420e+02,\n 2.73141559e+02, 2.73139420e+02, 2.73139420e+02, 2.73139420e+02,\n 2.73141559e+02, 2.73140968e+02, 2.73140968e+02, 2.73140195e+02,\n 2.73141559e+02, 2.73139420e+02, 2.73141559e+02, 2.73141559e+02,\n 2.73141559e+02, 2.73141559e+02, 2.73141559e+02, 2.73141559e+02,\n 0.00000000e+00, 0.00000000e+00, 2.73141559e+02, 2.73143212e+02,\n 2.73138375e+02, 2.73138375e+02, 2.73138375e+02, 2.73138375e+02,\n 2.73138375e+02, 0.00000000e+00, 2.73146667e+02, 2.73138375e+02,\n 2.73139420e+02, 2.73138375e+02, 2.70021760e+02, 2.73139420e+02,\n 2.73138375e+02, 2.73138375e+02, 2.73137323e+02, 2.73138375e+02,\n 0.00000000e+00, 2.73138375e+02, 2.73139928e+02, 2.73139420e+02,\n 0.00000000e+00, 0.00000000e+00, -2.18389958e+04, -2.47507601e-06,\n -1.26050967e-03, -1.07566540e+04, 3.32264199e-03, 8.44143815e-05,\n -4.33518521e-05, -1.65925959e-05, -4.18952806e+01, -7.79260422e+01,\n -4.15225787e+01, 1.58099818e-03, -6.47602403e+01, -2.91767646e+01,\n -2.37069809e+01, -7.79903361e+01, 1.85486092e-03, -1.14130515e-03,\n -7.27901975e+01, -1.51275480e-03, -7.09809576e+01, -7.23611828e+01,\n -7.19989744e+01, -7.70590444e+01, -1.37422593e+01, -1.95455529e-03,\n -5.08198418e+01, -7.29787741e+01, -7.71039104e+01, -6.25864130e+01,\n -5.24627842e+01, -7.21688988e+01, -2.40945356e-03, -2.44808590e-03,\n -5.18566149e-03, -3.03252072e+00, -3.10284853e-03, -7.89187190e-03,\n -1.76686794e-02, -5.18566084e-03, -4.28281511e+01, -2.28186369e-03,\n -2.90732529e+01, -2.96086896e-03, -7.56464555e+01, -7.48043117e+01,\n -7.60621385e+01, -7.69004093e+01, -7.78771961e+01, -7.76301453e+01,\n -6.94259461e+01, 4.25620637e-04, -7.78869025e+01, -4.75761425e+01,\n -2.07402662e+01, -7.79718688e+01, -7.79479202e+01, -8.75004037e-01,\n -2.00261148e+01, -7.80259320e+01, -5.04285189e+01, -7.79963049e+01,\n -3.37133116e+01, -6.41001404e+01, -1.93244817e-03, -1.96343720e-03,\n -3.60892058e-03, -2.80854457e+00, -1.85812726e-03, -5.50841591e-03,\n -1.33418198e-02, -3.60892170e-03, 8.45145893e-04, 4.90209562e+00,\n -1.26050967e-03, -1.21698643e-03, 3.32264199e-03, 2.42678389e+01,\n 7.27675202e+01, 9.14408264e-01]), y=array([ 5.25998152e-02, 5.13203384e+01, 3.00993954e+01, ...,\n 0.00000000e+00, 0.00000000e+00, -8.93715251e-21], shape=(4363,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(4363,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-1909061.8633382064, prim_res=0.15955166136620846, dual_res=0.0006713212243752099, iter=2600, rho_updates=3, rho_estimate=1.2336192978628816e-05, setup_time=0.002506625, solve_time=0.132175958, update_time=0.0, polish_time=0.000263958, run_time=0.13494654100000003))""}}, ""problem_class"": ""LP""}" +3157,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:45,0.10445404052734375,OPTIMAL,1908901.8119481318,1909055.2113891314,-153.3994409996085,0.9706546563745053,2.280450959143422e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1909055.2113891314, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3152,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:41,0.33757591247558594,OPTIMAL,1909057.4790497075,1909055.345101215,2.13394849258475,8.233401641686219e-06,7.680053148320857e-11,3675,"{""solver_solve_time"": 0.318054833, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1909055.345101215, ""solver_stats"": {""solve_time"": 0.318054833, ""setup_time"": 0.00335, ""num_iters"": 3675, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 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-1.91505556e+01 5.05466835e-04 1.27526214e+02\n 4.10028547e-04 9.29384095e-04 -8.33945808e-04 1.31823073e+02\n 8.34468169e+01 2.40608330e+01]"", ""y"": ""[ 0.05269189 51.31888786 30.11068734 ... 0. 0.\n 0. ]"", ""s"": ""[ 0. 0. 0. ... 131.8230726 83.44681689\n 24.06083302]"", ""info"": {""status_val"": 1, ""iter"": 3675, ""scale_updates"": 2, ""scale"": 0.0069788633245673444, ""pobj"": -1909055.3451012154, ""dobj"": -1909057.4790497075, ""res_pri"": 0.08366839289939992, ""res_dual"": 0.0007229802446455155, ""gap"": 2.1339484922682885, ""res_infeas"": NaN, ""res_unbdd_a"": 0.004248698195583199, ""res_unbdd_p"": 0.0, ""comp_slack"": 3.1198501737364755e-12, ""solve_time"": 318.054833, ""setup_time"": 3.35, ""lin_sys_time"": 250.211268, ""cone_time"": 18.971907999999843, ""accel_time"": 7.931063000000102, ""rejected_accel_steps"": 30, ""accepted_accel_steps"": 26, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +3156,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:44,0.1684880256652832,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3455,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,ship08l,LP,"{""cpu"": {""cpu_count"": 8, 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""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:50:21"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": 0, ""iter"": 1, ""full_info"": {""dimacs"": [4169.817410960331, 0, 344.1379365129998, 0, 0.9999999992567319, 97.65973122295556], ""termcode"": 0, ""iter"": 1, ""obj"": [1345409466.9631162, 0], ""gap"": 131392327026.09756, ""relgap"": 97.65973122295556, ""pinfeas"": 3509.3083791574836, ""dinfeas"": 65.38079916015347, ""cputime"": 0.07673400000000186, ""time"": {""preproc"": 0.02537500000000037, ""pred"": 0.04506700000000308, ""pred_pstep"": 0.0017659999999999343, ""pred_dstep"": 0.00048199999999809506, ""corr"": 0, ""corr_pstep"": 0, ""corr_dstep"": 0, ""pchol"": 0, ""dchol"": 0, ""misc"": 0}, ""resid"": [], ""reldist"": [], ""normX"": 46587.25589791355, ""normy"": 0, ""normZ"": 2820349.13827114, ""normb"": 150.90346985097406, ""maxb"": 127, ""normC"": 42698.268862624, ""maxC"": 8112, ""normA"": 116.08572880297709, ""msg1"": ""stop: difficulty in computing corrector directions"", ""msg2"": [], ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 1, ""full_info"": {""dimacs"": [4169.817410960331, 0, 344.1379365129998, 0, 0.9999999992567319, 97.65973122295556], ""termcode"": 0, ""iter"": 1, ""obj"": [1345409466.9631162, 0], ""gap"": 131392327026.09756, ""relgap"": 97.65973122295556, ""pinfeas"": 3509.3083791574836, ""dinfeas"": 65.38079916015347, ""cputime"": 0.07673400000000186, ""time"": {""preproc"": 0.02537500000000037, ""pred"": 0.04506700000000308, ""pred_pstep"": 0.0017659999999999343, ""pred_dstep"": 0.00048199999999809506, ""corr"": 0, ""corr_pstep"": 0, ""corr_dstep"": 0, ""pchol"": 0, ""dchol"": 0, ""misc"": 0}, ""resid"": [], ""reldist"": [], ""normX"": 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1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:50:18,0.236568125,OPTIMAL,1909055.2113891696,1909055.2113891314,3.818422555923462e-08,5.044935629290082e-13,3.5013051779653715e-21,18,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.236568125, ""setup_time"": [], ""iterations"": 18, ""primal_objective_value"": 1909055.2113891696, ""dual_objective_value"": 1909055.2113891314, ""duality_gap"": 3.818422555923462e-08, ""primal_infeasibility"": 5.044935629290082e-13, ""dual_infeasibility"": 3.5013051779653715e-21, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:50:16"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 18, ""feasratio"": 1, ""full_info"": {""iter"": 18, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 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""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:39,0.035330772399902344,OPTIMAL,1909055.2113891314,,,0.0,,689,"{""solver_solve_time"": 0.035330772399902344, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1909055.2113891314, ""scipy_nit"": 689, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3160,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:48,0.02022409439086914,OPTIMAL,1920098.211990188,1920098.2103749993,0.0016151887830346823,4.251192643582564e-09,2.1390647061723068e-16,16,"{""solver_solve_time"": 0.010246707, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1920098.2103749993, ""solver_stats"": {""solve_time"": 0.010246707, ""num_iters"": 16, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3164,cvxpy_cvxopt,unknown,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:57,0.07447695732116699,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3162,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:55,0.017323970794677734,OPTIMAL,1920098.210686012,1920098.2105179913,0.00016802060417830944,4.4305651031308024e-10,2.2638427617153273e-17,17,"{""solver_solve_time"": 0.007389083, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1920098.2105179913, 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-3.04211664e+01\n -5.45413548e+01 -7.80000000e+01 -7.79999999e+01 -7.79999999e+01\n -5.86214746e+01 -6.14356463e+01 -5.02461038e+01 -3.81893053e+01\n -4.61718115e+01 -4.67942647e+01 -4.17478501e+01 -5.13107230e+01\n -5.44656602e+01 -4.94433552e+01 -2.00603776e-09 5.19260774e+01\n 1.59794823e-08 9.15695385e-09 2.30003186e-08 1.76854130e+02\n 1.23699886e+02 6.07066159e+01]"", ""y"": ""[]"", ""z"": ""[6.32051304e+00 4.96174810e+01 3.15752598e+01 ... 3.36417301e-10\n 4.75119876e-10 9.28868714e-10]"", ""s"": ""[9.43186914e-09 1.32264373e-09 2.01994781e-09 ... 1.76854130e+02\n 1.23699886e+02 6.07066159e+01]"", ""info"": {""exitFlag"": 0, ""pcost"": -1920098.2105179944, ""dcost"": -1920098.210686005, ""pres"": 1.129629134231666e-12, ""dres"": 1.4964632870674598e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.1768331988471318, ""gap"": 0.0008036017049559712, ""relgap"": 4.185211467590398e-10, ""r0"": 1e-08, ""iter"": 17, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.008185458, ""tsetup"": 0.000796375, ""tsolve"": 0.007389083}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3167,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:59,0.015609264373779297,OPTIMAL,1920098.2105346199,1920098.2105346199,0.0,2.382889295682101e-16,3.671292891753744e-21,362,"{""solver_solve_time"": 0.005528334528207779, ""original_status"": {""cvxpy_status"": ""optimal"", 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0.00000000e+00, 0.00000000e+00, 4.94957781e+03, 4.60848126e+03,\n 5.05986294e+03, 5.17411813e+03, 5.18828831e+03, 5.24448733e+03,\n 4.94412827e+03, 5.03568827e+03, 5.17799733e+03, 4.79806827e+03,\n 5.14311733e+03, 5.12349733e+03, 0.00000000e+00, 5.18235733e+03,\n 4.79915827e+03, 4.93104827e+03, 5.19216733e+03, 5.41997797e+03,\n 5.29789732e+03, 5.25102732e+03, 5.02696827e+03, 5.49627797e+03,\n 5.43414797e+03, 5.01735236e+03, 5.09127827e+03, 5.54641797e+03,\n 5.32296809e+03, 5.29244733e+03, 5.46902797e+03, 5.58347797e+03,\n 5.14856733e+03, 5.42324797e+03, 5.06184827e+03, 5.33979827e+03,\n 5.38509797e+03, 5.15074809e+03, 4.99862827e+03, 4.89180827e+03,\n 5.16927733e+03, 5.03786827e+03, 5.13984809e+03, 5.12567733e+03,\n 5.05639827e+03, 5.12785809e+03, 5.10108827e+03, 4.92341827e+03,\n 5.14747733e+03, 5.13112733e+03, 5.38618733e+03, 5.29026733e+03,\n 5.38945733e+03, 4.95284819e+03, 5.31908827e+03, 5.22922733e+03,\n 5.14795827e+03, 5.41452832e+03, 5.31206733e+03, 5.19373827e+03,\n 5.16866827e+03, 5.22534827e+03, 0.00000000e+00, 0.00000000e+00,\n 5.31751733e+03, 5.12922334e+03, 4.96047827e+03, 4.90815827e+03,\n 4.87872827e+03, 5.06184827e+03, 4.86673827e+03, 0.00000000e+00,\n 5.45703809e+03, 5.21771827e+03, 5.02369827e+03, 4.85474827e+03,\n 4.61619976e+03, 5.06293827e+03, 4.92232827e+03, 5.10762827e+03,\n 4.91905827e+03, 5.65977797e+03, 0.00000000e+00, 4.98445827e+03,\n 5.15157906e+03, 4.83512827e+03, 0.00000000e+00, 0.00000000e+00,\n 3.62101761e+02, 3.62319782e+02, 3.63368346e+02, 3.64248457e+02,\n 3.63053325e+02, 3.58885340e+02, 3.63415262e+02, 3.63416850e+02,\n 3.58885340e+02, 3.63416850e+02, 3.58885340e+02, 3.58885340e+02,\n 0.00000000e+00, 3.60883242e+02, 3.63416850e+02, 3.63416850e+02,\n 3.61089653e+02, 3.66653841e+02, 3.63416850e+02, 3.63502663e+02,\n 3.63502663e+02, 3.66653841e+02, 3.66653841e+02, 3.58885340e+02,\n 3.59087688e+02, 3.66653841e+02, 3.59596456e+02, 3.60969309e+02,\n 3.66653841e+02, 3.66653841e+02, 3.58885340e+02, 3.66653841e+02,\n 3.63502663e+02, 3.63502663e+02, 3.66653841e+02, 3.59596456e+02,\n 3.63416850e+02, 3.63415262e+02, 3.58885340e+02, 3.63416850e+02,\n 3.59596456e+02, 3.58885340e+02, 3.63415262e+02, 3.59596456e+02,\n 3.63415262e+02, 3.63416850e+02, 3.58885340e+02, 3.58885340e+02,\n 3.60969309e+02, 3.58885340e+02, 3.60969309e+02, 3.62869634e+02,\n 3.63415262e+02, 3.58885340e+02, 3.63415262e+02, 3.60969309e+02,\n 3.60969309e+02, 3.63415262e+02, 3.63415262e+02, 3.63415262e+02,\n 0.00000000e+00, 0.00000000e+00, 3.60969309e+02, 3.63403615e+02,\n 3.59087688e+02, 3.59087688e+02, 3.59087688e+02, 3.59087688e+02,\n 3.59087688e+02, 0.00000000e+00, 3.63561900e+02, 3.59087688e+02,\n 3.63416850e+02, 3.59087688e+02, 3.59087688e+02, 3.59087688e+02,\n 3.63502663e+02, 3.63502663e+02, 3.59087688e+02, 3.66653841e+02,\n 0.00000000e+00, 3.63502663e+02, 3.63314119e+02, 3.59087688e+02,\n 0.00000000e+00, 0.00000000e+00, -2.64610667e+04, -6.10502756e-05,\n 9.27747152e-03, -9.24746634e+03, 1.39011671e-03, 4.93800158e-05,\n -8.03247113e-05, -1.55003120e-05, -7.33639885e+01, -7.80030427e+01,\n -4.34542953e+01, -1.38809504e-05, -7.80240234e+01, -7.80006602e+01,\n -9.29587301e+00, -7.80108662e+01, 1.06658400e-02, -5.74036769e-04,\n -5.23007638e+01, -2.99903695e-03, -6.75403312e+01, -7.79735659e+01,\n -6.54094437e+01, -7.79389908e+01, -4.45095260e+00, -1.86365090e-03,\n -7.55266690e+01, -7.80021498e+01, -7.60129156e+01, -7.80010096e+01,\n -4.41506979e+01, -6.99504171e+01, -1.01929117e-01, -8.47767160e-02,\n -2.39747083e-03, -6.23958214e+00, -2.60622088e-02, -3.94955408e-02,\n -6.42386502e-04, -2.30305530e-03, -6.75042589e+01, 2.10153766e-04,\n -4.16462519e+01, -3.40107477e-04, -7.19668253e+01, -7.80006872e+01,\n -7.49803707e+01, -7.79936685e+01, -7.79998909e+01, -7.79999197e+01,\n -3.24514213e+01, -6.86606364e-06, -7.79999839e+01, -7.79999735e+01,\n -1.30217821e+01, -7.79999887e+01, -7.79995424e+01, -1.73670267e+01,\n -2.26364414e+01, -7.79998557e+01, -7.80000319e+01, -7.79999193e+01,\n -6.99740384e+01, -6.50709877e+01, -8.12304030e-02, -6.75620142e-02,\n -1.91049339e-03, -5.78066772e+00, -2.07739281e-02, -3.14777360e-02,\n -5.11906236e-04, -1.83776156e-03, -7.42795991e-03, 4.67906270e+00,\n 9.27747152e-03, -1.80955481e-02, 1.39011671e-03, 2.49146522e+01,\n 3.27274889e+01, 1.90197346e+00]), y=array([6.32221244e+00, 4.96196486e+01, 3.16414551e+01, ...,\n 0.00000000e+00, 1.58829930e-17, 0.00000000e+00], shape=(2467,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2467,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 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2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved inaccurate', status_val=2, status_polish=0, obj_val=-1920104.9642216195, prim_res=0.5643477948922282, dual_res=0.0022703729329475743, iter=10000, rho_updates=3, rho_estimate=1.4055948618336701e-05, setup_time=0.001193041, solve_time=0.318121666, update_time=0.0, polish_time=0.0, run_time=0.31931470700000003))""}}, ""problem_class"": ""LP""}" +3166,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:58,0.053750038146972656,OPTIMAL,1917213.78818602,1920098.2105346196,-2884.422348599648,0.9731007583251243,2.858710367026821e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1920098.2105346196, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3161,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:54,6.116328954696655,OPTIMAL (INACCURATE),1916630.5068703538,1920448.893474151,-3818.3866037970874,0.005204701253078693,2.6266380207058147e-08,100000,"{""solver_solve_time"": 6.103063375, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 1920448.893474151, ""solver_stats"": {""solve_time"": 6.103063375, ""setup_time"": 0.0018185830000000001, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 5.38134599e+03 5.84408168e+03\n 5.49072152e+03 5.17768583e+03 5.48656136e+03 5.66414376e+03\n 5.40334441e+03 5.44694163e+03 5.59765334e+03 5.56902259e+03\n 5.56277278e+03 5.54315306e+03 0.00000000e+00 5.60198996e+03\n 5.69655092e+03 5.49054162e+03 5.34872285e+03 5.34551091e+03\n 5.35102234e+03 5.30090262e+03 5.52653276e+03 5.42181020e+03\n 5.35968048e+03 7.01247432e+03 6.38714322e+03 5.47195147e+03\n 5.89985471e+03 5.67476578e+03 5.39456076e+03 5.50900978e+03\n 5.56822292e+03 5.34877936e+03 5.66278262e+03 5.40772290e+03\n 5.31063034e+03 5.72763457e+03 5.50906899e+03 5.51343269e+03\n 5.58893348e+03 5.50144121e+03 5.71673359e+03 5.54533376e+03\n 5.50035340e+03 5.70474317e+03 5.49599383e+03 5.66494176e+03\n 5.56713278e+03 5.55078306e+03 5.72926718e+03 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""pred_dstep"": 0.00045700000000081786, ""corr"": 0, ""corr_pstep"": 0, ""corr_dstep"": 0, ""pchol"": 0, ""dchol"": 0, ""misc"": 0}, ""resid"": [], ""reldist"": [], ""normX"": 26342.140797639568, ""normy"": 0, ""normZ"": 1810115.2904346015, ""normb"": 150.90346985097406, ""maxb"": 127, ""normC"": 36443.632808056005, ""maxC"": 8112, ""normA"": 87.92942524894774, ""msg1"": ""stop: difficulty in computing corrector directions"", ""msg2"": [], ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3456,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:50:27,0.24010154166666667,OPTIMAL,1920098.2105328138,1920098.2105346196,1.8058344721794128e-06,2.971819582887875e-12,6.078574497139548e-21,16,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.24010154166666667, ""setup_time"": [], ""iterations"": 16, ""primal_objective_value"": 1920098.2105328138, ""dual_objective_value"": 1920098.2105346196, ""duality_gap"": 1.8058344721794128e-06, ""primal_infeasibility"": 2.971819582887875e-12, ""dual_infeasibility"": 6.078574497139548e-21, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:50:25"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 16, ""feasratio"": 1, ""full_info"": {""iter"": 16, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 3.5312871936814427e-12, ""timing"": [0.07002577185630798, 0.14719292521476746, 0.0026553869247436523], ""wallsec"": 0.2198740839958191, ""cpusec"": 0.5}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 16, ""feasratio"": 1, ""full_info"": {""iter"": 16, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 3.5312871936814427e-12, ""timing"": [0.07002577185630798, 0.14719292521476746, 0.0026553869247436523], ""wallsec"": 0.2198740839958191, ""cpusec"": 0.5}}, ""problem_class"": ""LP""}" +3159,scipy_linprog,scipy-1.15.3,NETLIB,ship08s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:18:47,0.021656036376953125,OPTIMAL,1920098.210534619,,,0.0,,373,"{""solver_solve_time"": 0.021656036376953125, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1920098.210534619, ""scipy_nit"": 373, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3169,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:01,0.0708010196685791,OPTIMAL,1470187.9195496482,1470187.9193044067,0.0002452414482831955,3.811350953346757e-09,8.26541909069471e-17,25,"{""solver_solve_time"": 0.032168918, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1470187.9193044067, ""solver_stats"": {""solve_time"": 0.032168918, ""num_iters"": 25, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3173,cvxpy_cvxopt,unknown,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:11,0.2973289489746094,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3171,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:08,0.05680418014526367,OPTIMAL,1470187.919369239,1470187.9193247212,4.451768472790718e-05,6.920597076373435e-10,1.5030147749802252e-17,28,"{""solver_solve_time"": 0.024727125, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1470187.9193247212, ""solver_stats"": {""solve_time"": 0.024727125, ""setup_time"": 0.002110791, ""num_iters"": 28, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 1.58071415e-09\n 3.11969821e-09 -8.89696931e-10]"", ""y"": ""[]"", ""z"": ""[135.945268 63.61068895 41.33424949 ... 3. 2.\n 26.37230087]"", ""s"": ""[6.90531027e-11 1.45758081e-10 2.24919031e-10 ... 3.07023157e-09\n 4.60921737e-09 3.59201501e-10]"", ""info"": {""exitFlag"": 0, ""pcost"": -1470187.9193247217, ""dcost"": -1470187.9193692328, ""pres"": 1.8752091286561912e-13, ""dres"": 4.9575126413395857e-11, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.10945466990648478, ""gap"": 0.0006491949638487821, ""relgap"": 4.415727780887811e-10, ""r0"": 1e-08, ""iter"": 28, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.026837916, ""tsetup"": 0.002110791, ""tsolve"": 0.024727125}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3176,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:14,0.04343104362487793,OPTIMAL,1470187.919329265,1470187.9193292647,2.3283064365386963e-10,8.59472174555838e-16,1.079255221689847e-20,755,"{""solver_solve_time"": 0.014505667611956596, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1470187.9193292647, ""solver_stats"": {""solve_time"": 0.014505667611956596, ""num_iters"": 755, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3172,cvxpy_osqp,unknown,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:10,0.6641809940338135,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3175,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:13,0.1413428783416748,OPTIMAL,1469192.8483207007,1470187.919329265,-995.0710085642058,0.630537547329134,9.427218567918873e-21,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1470187.919329265, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3170,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:07,5.405066967010498,OPTIMAL,1470192.0134998555,1470198.830670236,-6.817170380381867,1.158275587230388e-05,1.6117227134561945e-09,48525,"{""solver_solve_time"": 5.373047541, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1470198.830670236, ""solver_stats"": {""solve_time"": 5.373047541, ""setup_time"": 0.003693291, ""num_iters"": 48525, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0. 0. 0. ... 0.00117238 -0.00062759\n -0.03141048]"", ""y"": ""[135.94549512 63.23750583 41.3340328 ... 3.00006093 1.99984865\n 26.31063643]"", ""s"": ""[0. 0. 0. ... 0. 0. 0.]"", ""info"": {""status_val"": 1, ""iter"": 48525, ""scale_updates"": 3, ""scale"": 0.0009312075069212621, ""pobj"": -1470198.8306702361, ""dobj"": -1470192.0134998555, ""res_pri"": 0.4165042791746312, ""res_dual"": 0.0002247852906862303, ""gap"": 6.817170380421468, ""res_infeas"": NaN, ""res_unbdd_a"": 0.0038287335275382826, ""res_unbdd_p"": 0.0, ""comp_slack"": 8.312070992693411e-13, ""solve_time"": 5373.047541, ""setup_time"": 3.693291, ""lin_sys_time"": 4080.0646530000013, ""cone_time"": 401.67651299996675, ""accel_time"": 165.77565400000853, ""rejected_accel_steps"": 380, ""accepted_accel_steps"": 635, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +3174,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:12,0.22129201889038086,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3459,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:50:41,0.18620404166666665,OPTIMAL,398344180.1287748,0.0,398344180.1287748,6178.06410038205,0.0,1,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.18620404166666665, ""setup_time"": [], ""iterations"": 1, ""primal_objective_value"": 398344180.1287748, ""dual_objective_value"": 0, ""duality_gap"": 398344180.1287748, ""primal_infeasibility"": 6178.06410038205, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:50:39"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": 0, ""iter"": 1, ""full_info"": {""dimacs"": [12424.363258510331, 0, 234.83623994930295, 0, 0.9999999974896081, 124.7081339320686], ""termcode"": 0, ""iter"": 1, ""obj"": [398344180.12877476, 0], ""gap"": 49676759491.26744, ""relgap"": 124.7081339320686, ""pinfeas"": 6178.06410038205, ""dinfeas"": 73.79203682524923, ""cputime"": 0.0910780000000031, ""time"": {""preproc"": 0.03337600000000407, ""pred"": 0.05094400000000121, ""pred_pstep"": 0.0017799999999965621, ""pred_dstep"": 0.0005020000000044433, ""corr"": 0, ""corr_pstep"": 0, ""corr_dstep"": 0, ""pchol"": 0, ""dchol"": 0, ""misc"": 0}, ""resid"": [], ""reldist"": [], ""normX"": 37274.249523271304, ""normy"": 0, ""normZ"": 1332736.6781792045, ""normb"": 62.34238666931319, ""maxb"": 31, ""normC"": 17916.947245209885, ""maxC"": 5630, ""normA"": 128.3416406732101, ""msg1"": ""stop: difficulty in computing corrector directions"", ""msg2"": [], ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 1, ""full_info"": {""dimacs"": [12424.363258510331, 0, 234.83623994930295, 0, 0.9999999974896081, 124.7081339320686], ""termcode"": 0, ""iter"": 1, ""obj"": [398344180.12877476, 0], ""gap"": 49676759491.26744, ""relgap"": 124.7081339320686, ""pinfeas"": 6178.06410038205, ""dinfeas"": 73.79203682524923, ""cputime"": 0.0910780000000031, ""time"": {""preproc"": 0.03337600000000407, ""pred"": 0.05094400000000121, ""pred_pstep"": 0.0017799999999965621, ""pred_dstep"": 0.0005020000000044433, ""corr"": 0, ""corr_pstep"": 0, ""corr_dstep"": 0, ""pchol"": 0, ""dchol"": 0, ""misc"": 0}, ""resid"": [], ""reldist"": [], ""normX"": 37274.249523271304, ""normy"": 0, ""normZ"": 1332736.6781792045, ""normb"": 62.34238666931319, ""maxb"": 31, ""normC"": 17916.947245209885, ""maxC"": 5630, ""normA"": 128.3416406732101, ""msg1"": ""stop: difficulty in computing corrector directions"", ""msg2"": [], ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3458,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:50:36,0.31945375,OPTIMAL,1470187.919329265,1470187.9193292647,2.3283064365386963e-10,6.044105100817514e-14,1.2844682194872995e-20,23,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.31945375, ""setup_time"": [], ""iterations"": 23, ""primal_objective_value"": 1470187.919329265, ""dual_objective_value"": 1470187.9193292647, ""duality_gap"": 2.3283064365386963e-10, ""primal_infeasibility"": 6.044105100817514e-14, ""dual_infeasibility"": 1.2844682194872995e-20, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:50:34"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 23, ""feasratio"": 1, ""full_info"": {""iter"": 23, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.2115724331932674e-13, ""timing"": [0.06748102605342865, 0.2303246408700943, 0.0029068440198898315], ""wallsec"": 0.3007125109434128, ""cpusec"": 1.1100000000000003}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 23, ""feasratio"": 1, ""full_info"": {""iter"": 23, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.2115724331932674e-13, ""timing"": [0.06748102605342865, 0.2303246408700943, 0.0029068440198898315], ""wallsec"": 0.3007125109434128, ""cpusec"": 1.1100000000000003}}, ""problem_class"": ""LP""}" +3168,scipy_linprog,scipy-1.15.3,NETLIB,ship12l,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:00,0.058007001876831055,OPTIMAL,1470187.9193292656,,,0.0,,957,"{""solver_solve_time"": 0.058007001876831055, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1470187.9193292656, ""scipy_nit"": 957, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3178,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:16,0.03088212013244629,OPTIMAL,1489236.134721056,1489236.134339675,0.0003813810180872679,6.073677673077518e-09,4.828655318961938e-16,22,"{""solver_solve_time"": 0.015357956, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1489236.134339675, ""solver_stats"": {""solve_time"": 0.015357956, ""num_iters"": 22, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3182,cvxpy_cvxopt,unknown,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:27,0.17130017280578613,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3180,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:25,0.026041030883789062,OPTIMAL,1489236.1347550284,1489236.1343292487,0.00042577972635626793,6.782509601819285e-09,5.394375304699782e-16,22,"{""solver_solve_time"": 0.010831166, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1489236.1343292487, ""solver_stats"": {""solve_time"": 0.010831166, ""setup_time"": 0.000788458, ""num_iters"": 22, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... 3.05341714e-08\n 5.98179062e-08 -1.65826545e-08]"", ""y"": ""[]"", ""z"": ""[134.29410784 67.96919692 41.08182631 ... 3. 2.\n 26.28405608]"", ""s"": ""[1.31991503e-09 2.59183404e-09 4.28589262e-09 ... 5.84546994e-08\n 8.77384588e-08 6.82791666e-09]"", ""info"": {""exitFlag"": 0, ""pcost"": -1489236.1343292466, ""dcost"": -1489236.1347550196, ""pres"": 2.5265384406060206e-12, ""dres"": 4.5529494207927963e-10, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.09035324988382334, ""gap"": 0.0064922169140876895, ""relgap"": 4.3594274705211815e-09, ""r0"": 1e-08, ""iter"": 22, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.011619624, ""tsetup"": 0.000788458, ""tsolve"": 0.010831166}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3185,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:29,0.026358842849731445,OPTIMAL,1489236.1344061291,1489236.1344061291,0.0,5.75032302290025e-16,1.5192932598029034e-20,441,"{""solver_solve_time"": 0.007132500410079956, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1489236.1344061291, ""solver_stats"": {""solve_time"": 0.007132500410079956, ""num_iters"": 441, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3181,cvxpy_osqp,unknown,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:26,0.4264030456542969,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3184,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:29,0.06609201431274414,OPTIMAL,1482208.0859465431,1489236.1344061291,-7028.048459585989,1.130271842392395,1.3148114811872174e-20,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1489236.1344061291, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3179,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:24,7.456405162811279,OPTIMAL (INACCURATE),1489376.2372620832,1489075.8004335877,300.43682849546894,0.0001794754128689635,2.882815139043947e-08,100000,"{""solver_solve_time"": 7.4379925, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 1489075.8004335877, ""solver_stats"": {""solve_time"": 7.4379925, ""setup_time"": 0.001786333, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 ... -3.92300391e-02\n -1.10190664e-03 3.49635951e+00]"", ""y"": ""[134.29500975 67.97367507 41.08105785 ... 3.00021298 1.99638341\n 26.73014748]"", ""s"": ""[0. 0. 0. ... 0. 0. 0.]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 3, ""scale"": 0.001221498402157674, ""pobj"": -1489075.8004335877, ""dobj"": -1489376.2372620835, ""res_pri"": 6.818636467104293, ""res_dual"": 0.003616587375638917, ""gap"": 300.43682849570683, ""res_infeas"": NaN, ""res_unbdd_a"": 0.003780207127824957, ""res_unbdd_p"": 0.0, ""comp_slack"": 3.705501332747068e-13, ""solve_time"": 7437.9925, ""setup_time"": 1.786333, ""lin_sys_time"": 5717.346114000429, ""cone_time"": 695.8500410001076, ""accel_time"": 213.23633900006038, ""rejected_accel_steps"": 754, ""accepted_accel_steps"": 1666, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +3183,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:28,0.13903069496154785,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3461,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:50:50,0.16664841666666666,OPTIMAL,137662432.77547556,0.0,137662432.77547556,2183.134524067779,0.0,1,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.16664841666666666, ""setup_time"": [], ""iterations"": 1, ""primal_objective_value"": 137662432.77547556, ""dual_objective_value"": 0, ""duality_gap"": 137662432.77547556, ""primal_infeasibility"": 2183.134524067779, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:50:48"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": 0, ""iter"": 1, ""full_info"": {""dimacs"": [4390.381182276145, 0, 139.86921230201798, 0, 0.9999999927358542, 111.5438515666367], ""termcode"": 0, ""iter"": 1, ""obj"": [137662432.7754755, 0], ""gap"": 15355398079.353594, ""relgap"": 111.5438515666367, ""pinfeas"": 2183.134524067779, ""dinfeas"": 53.09009525117606, ""cputime"": 0.07940999999999576, ""time"": {""preproc"": 0.026379999999996073, ""pred"": 0.04684299999999553, ""pred_pstep"": 0.0016460000000009245, ""pred_dstep"": 0.00045899999999932106, ""corr"": 0, ""corr_pstep"": 0, ""corr_dstep"": 0, ""pchol"": 0, ""dchol"": 0, ""misc"": 0}, ""resid"": [], ""reldist"": [], ""normX"": 19327.638149695267, ""normy"": 0, ""normZ"": 794478.764576607, ""normb"": 62.34238666931319, ""maxb"": 31, ""normC"": 14832.590929339447, ""maxC"": 5630, ""normA"": 91.68568491964405, ""msg1"": ""stop: difficulty in computing corrector directions"", ""msg2"": [], ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 1, ""full_info"": {""dimacs"": [4390.381182276145, 0, 139.86921230201798, 0, 0.9999999927358542, 111.5438515666367], ""termcode"": 0, ""iter"": 1, ""obj"": [137662432.7754755, 0], ""gap"": 15355398079.353594, ""relgap"": 111.5438515666367, ""pinfeas"": 2183.134524067779, ""dinfeas"": 53.09009525117606, ""cputime"": 0.07940999999999576, ""time"": {""preproc"": 0.026379999999996073, ""pred"": 0.04684299999999553, ""pred_pstep"": 0.0016460000000009245, ""pred_dstep"": 0.00045899999999932106, ""corr"": 0, ""corr_pstep"": 0, ""corr_dstep"": 0, ""pchol"": 0, ""dchol"": 0, ""misc"": 0}, ""resid"": [], ""reldist"": [], ""normX"": 19327.638149695267, ""normy"": 0, ""normZ"": 794478.764576607, ""normb"": 62.34238666931319, ""maxb"": 31, ""normC"": 14832.590929339447, ""maxC"": 5630, ""normA"": 91.68568491964405, ""msg1"": ""stop: difficulty in computing corrector directions"", ""msg2"": [], ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3460,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:50:45,0.23217658333333333,OPTIMAL,1489236.1344059445,1489236.1344061294,1.8486753106117249e-07,2.5392323166672774e-12,1.970754883354152e-20,17,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.23217658333333333, ""setup_time"": [], ""iterations"": 17, ""primal_objective_value"": 1489236.1344059445, ""dual_objective_value"": 1489236.1344061294, ""duality_gap"": 1.8486753106117249e-07, ""primal_infeasibility"": 2.5392323166672774e-12, ""dual_infeasibility"": 1.970754883354152e-20, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:50:43"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 17, ""feasratio"": 1, ""full_info"": {""iter"": 17, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 5.10647422628294e-12, ""timing"": [0.06329677999019623, 0.14787688851356506, 0.0028464943170547485], ""wallsec"": 0.21402016282081604, ""cpusec"": 0.5700000000000003}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 17, ""feasratio"": 1, ""full_info"": {""iter"": 17, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 5.10647422628294e-12, ""timing"": [0.06329677999019623, 0.14787688851356506, 0.0028464943170547485], ""wallsec"": 0.21402016282081604, ""cpusec"": 0.5700000000000003}}, ""problem_class"": ""LP""}" +3177,scipy_linprog,scipy-1.15.3,NETLIB,ship12s,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:15,0.030409812927246094,OPTIMAL,1489236.13440613,,,0.0,,493,"{""solver_solve_time"": 0.030409812927246094, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1489236.13440613, ""scipy_nit"": 493, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3187,cvxpy_clarabel,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:30,0.5411760807037354,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:30 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:30 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:30 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:30 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_clarabel\n2026-07-05 18:19:30 - python_solver_runner - INFO - Solving sierra with cvxpy_clarabel\n2026-07-05 18:19:30 - solver_cvxpy_clarabel - INFO - Initialized CVXPY solver 'cvxpy_clarabel' with backend 'CLARABEL'\n2026-07-05 18:19:30 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:30 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3191,cvxpy_cvxopt,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:33,0.583975076675415,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:33 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:33 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:33 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:33 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_cvxopt\n2026-07-05 18:19:33 - python_solver_runner - INFO - Solving sierra with cvxpy_cvxopt\n2026-07-05 18:19:33 - solver_cvxpy_cvxopt - INFO - Initialized CVXPY solver 'cvxpy_cvxopt' with backend 'CVXOPT'\n2026-07-05 18:19:33 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:33 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3189,cvxpy_ecos,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:32,0.5188949108123779,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:32 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:32 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:32 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:32 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_ecos\n2026-07-05 18:19:32 - python_solver_runner - INFO - Solving sierra with cvxpy_ecos\n2026-07-05 18:19:32 - solver_cvxpy_ecos - INFO - Initialized CVXPY solver 'cvxpy_ecos' with backend 'ECOS'\n2026-07-05 18:19:32 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:32 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3194,cvxpy_highs,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:34,0.573657751083374,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:34 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:34 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:34 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:34 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_highs\n2026-07-05 18:19:34 - python_solver_runner - INFO - Solving sierra with cvxpy_highs\n2026-07-05 18:19:34 - solver_cvxpy_highs - INFO - Initialized CVXPY solver 'cvxpy_highs' with backend 'HIGHS'\n2026-07-05 18:19:34 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:34 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3190,cvxpy_osqp,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:32,0.5368080139160156,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:32 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:32 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:32 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:32 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_osqp\n2026-07-05 18:19:32 - python_solver_runner - INFO - Solving sierra with cvxpy_osqp\n2026-07-05 18:19:32 - solver_cvxpy_osqp - INFO - Initialized CVXPY solver 'cvxpy_osqp' with backend 'OSQP'\n2026-07-05 18:19:32 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:32 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3193,cvxpy_scip,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:34,0.5441789627075195,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:34 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:34 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:34 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:34 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_scip\n2026-07-05 18:19:34 - python_solver_runner - INFO - Solving sierra with cvxpy_scip\n2026-07-05 18:19:34 - solver_cvxpy_scip - INFO - Initialized CVXPY solver 'cvxpy_scip' with backend 'SCIP'\n2026-07-05 18:19:34 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:34 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3188,cvxpy_scs,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:31,0.5767953395843506,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:31 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:31 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:31 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:31 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_scs\n2026-07-05 18:19:31 - python_solver_runner - INFO - Solving sierra with cvxpy_scs\n2026-07-05 18:19:31 - solver_cvxpy_scs - INFO - Initialized CVXPY solver 'cvxpy_scs' with backend 'SCS'\n2026-07-05 18:19:31 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:31 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3192,cvxpy_sdpa,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:33,0.5370082855224609,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:33 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:33 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:33 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:33 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_sdpa\n2026-07-05 18:19:33 - python_solver_runner - INFO - Solving sierra with cvxpy_sdpa\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/cvxpy/problems/problem.py:1504: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n warnings.warn(\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/sdpap/sdpaputils.py:114: RuntimeWarning: k >= N - 1 for N * N square matrix. Attempting to use scipy.linalg.eig instead.\n eig = eigs(mat.toarray(), k=1, which='SM',\n2026-07-05 18:19:33 - solver_cvxpy_sdpa - INFO - Initialized CVXPY solver 'cvxpy_sdpa' with backend 'SDPA'\n2026-07-05 18:19:33 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:33 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3463,matlab_sdpt3,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:50:59,4.64649224281311,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""Error: Index exceeds the number of array elements. Index must not exceed 3.; Original error: Index exceeds the number of array elements. Index must not exceed 3."", ""problem_class"": ""UNKNOWN""}" +3462,matlab_sedumi,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:50:55,4.828107118606567,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""Error: Index exceeds the number of array elements. Index must not exceed 3.; Original error: Index exceeds the number of array elements. Index must not exceed 3."", ""problem_class"": ""UNKNOWN""}" +3186,scipy_linprog,unknown,NETLIB,sierra,UNKNOWN,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:30,0.5156638622283936,SUBPROCESS_ERROR,,,,,,,"{""returncode"": 1, ""error_type"": ""SUBPROCESS_ERROR"", ""error_message"": ""2026-07-05 18:19:30 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:30 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:30 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:30 - python_solver_runner - INFO - Subprocess solving sierra with scipy_linprog\n2026-07-05 18:19:30 - python_solver_runner - INFO - Solving sierra with scipy_linprog\n2026-07-05 18:19:30 - solver_scipy_linprog - INFO - Initialized SciPy solver with method 'highs'\n2026-07-05 18:19:30 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:30 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range"", ""problem_class"": ""UNKNOWN""}" +3196,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,stair,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": 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5.03322055e+01\n 2.63922090e+01 4.99704973e+01 1.99173282e+01 3.84191879e+01\n 8.94766068e+01 6.73768739e+01 1.95284112e+01 1.74312987e+02\n 2.23971105e+01 1.31064133e+02 5.79849280e+00 2.43368267e+00\n 4.90911420e+00 8.86268834e+00 5.96539818e+00 3.45045910e+00\n 7.01696556e+00 3.14177003e+00 6.03096657e+00 1.29615897e+01\n 8.29109161e+00 3.44215966e+00 1.53625062e+01 2.18158471e+00\n 1.13792825e+01 2.97254601e+00 2.19619227e+00 1.76041334e+00\n 2.99670536e+00 4.92901203e+00 7.49956354e+00 1.89657732e+00\n 4.87362791e+00 1.25867600e+02 1.09857389e+00 4.24511440e+02\n 7.76719542e+01 4.72472839e+02 2.32996167e+00 4.91554279e+00\n 9.00816154e+00 1.03379627e+01 4.36689901e+00 8.55634682e+00\n 2.64702318e+00 3.78676220e+00 5.32109107e+00 1.33310645e+01\n 1.17930000e+01 2.10401370e+00 2.29831267e+00 2.18030677e+00\n 2.24234673e+00 2.24295009e+00 2.18593641e+00 2.22914411e+00\n 2.20180724e+00 2.11399724e+00 2.22226377e+00 1.54666320e+01\n 4.16359715e+01 2.07268264e+00 1.76892585e+00 3.96661199e+00\n 3.79804714e+00 8.88487971e-01 1.59424189e+02 8.31111296e+01\n 1.88525163e+01 5.02385520e+01 1.17952051e+02 6.40440322e+01\n 3.25364500e+01 6.68398784e+01 2.51473100e+01 5.23295438e+01\n 1.24223884e+02 8.80459284e+01 2.61290834e+01 2.16192299e+02\n 2.65797248e+01 1.61004505e+02 7.00970727e+00 2.98465097e+00\n 5.88234548e+00 1.01950322e+01 7.10390372e+00 3.72196010e+00\n 9.16238929e+00 3.50871805e+00 7.40350922e+00 1.63219311e+01\n 9.49663070e+00 4.02969160e+00 1.84976638e+01 2.39848063e+00\n 1.33317603e+01 2.41169962e+00 1.95970602e+00 1.70422983e+00\n 3.73778866e+00 5.33006003e+00 7.54361862e+00 1.60914678e+00\n 1.10026702e+01 2.46882553e+00 1.60082569e+02 5.16976108e+02\n 9.46577258e+01 5.82166703e+02 2.36640588e+00 5.05821313e+00\n 9.13094126e+00 1.10256443e+01 4.37766915e+00 2.79489293e+01\n 2.70514574e+00 4.07367458e+00 5.91274534e+00 1.52497217e+01\n 1.16169953e+01 2.12277943e+00 2.27407387e+00 2.19003034e+00\n 2.25730954e+00 2.23480027e+00 2.18722896e+00 2.23959494e+00\n 2.18924042e+00 2.12677130e+00 2.24050627e+00 1.62923548e+01\n 4.78465746e+01 2.13864219e+00 1.09283107e+00 3.95985971e+00\n 5.84935797e+00 8.95082871e-01 1.98606612e+02 9.99311658e+01\n 2.35803543e+01 6.36863249e+01 1.44337722e+02 8.11722835e+01\n 3.94952475e+01 9.01473237e+01 3.14785959e+01 7.03586628e+01\n 1.69056779e+02 1.12331599e+02 3.45165656e+01 2.67477095e+02\n 3.14243864e+01 1.96805584e+02 4.74737193e+00 3.95386392e+00\n 6.71418782e+00 1.06224428e+01 7.14329853e+00 3.63930825e+00\n 1.13952621e+01 3.88088707e+00 8.40866147e+00 2.03624957e+01\n 6.90591633e+00 4.53406876e+00 2.07945424e+01 2.61598480e+00\n 1.51850084e+01 2.12426717e+00 1.71432923e+00 1.63354108e+00\n 3.91802344e+00 5.49462037e+00 7.53148920e+00 1.28989118e+00\n 3.65242935e+01 5.89054754e+00 1.99941090e+02 6.30249027e+02\n 1.15465976e+02 7.14489891e+02 2.34015039e+00 4.84676330e+00\n 8.59266144e+00 1.01844771e+01 3.47610534e+00 1.63745309e+01\n 2.77407071e+00 4.38412504e+00 6.53083251e+00 1.70353947e+01\n 9.60091413e+00 2.50643462e+00 2.72526969e+00 2.67067759e+00\n 2.73217365e+00 2.68275514e+00 2.66604729e+00 2.69057409e+00\n 2.66360827e+00 2.60066926e+00 2.60477602e+00 8.77369742e+00\n 5.08066626e+01 2.48992477e+00 8.72460000e-01 4.05613632e+00\n 9.01915150e+00 7.99111279e-01 2.41961653e+02 2.43516505e+02\n 1.41191168e+02 8.71338224e+02 1.09964522e+02 3.12181044e+01\n 7.96296731e+01 1.72005667e+02 9.84196647e+01 4.62060920e+01\n 1.20155333e+02 3.89268822e+01 9.14044274e+01 2.26016832e+02\n 1.28845125e+02 4.44440543e+01 3.25652548e+02 3.69355894e+01\n 2.38173585e+02 8.83902993e+00 5.47236485e+00 9.42995664e+00\n 1.47077839e+01 1.02146435e+01 6.13648049e+00 1.10603464e+01\n 5.57420485e+00 9.08565964e+00 1.88981966e+01 1.13827656e+01\n 4.74033822e+00 2.89597413e+01 3.42488620e+00 1.95978918e+01\n 1.79635254e+00 1.37951260e+00 1.45503566e+00 3.81082261e+00\n 5.41380189e+00 7.44866962e+00 5.04715179e+01 7.69012888e+02\n 3.24004032e+00 5.03236366e+00 7.18734237e+00 4.26273375e+07\n 4.90943604e+00 8.41994464e+00 8.46447519e+00 4.26273351e+07\n 2.84745794e+00 4.78079403e+00 7.30890050e+00 1.93774842e+01\n 1.04288930e+01 2.72880714e+00 4.15945156e+00 3.04753458e+00\n 4.07541353e+00 5.19551394e+00 4.39105796e+00 4.45342463e+00\n 4.94369737e+00 3.89486667e+00 4.50317448e+00 7.97781060e+00\n 2.98217230e+00 9.62270356e+00 1.62986760e+00 3.17759969e+00\n 1.11046594e+00 1.00544012e+00 1.47218207e+00 1.91818857e+00\n 2.76155657e+00 2.89164476e-01 3.21693886e+00 5.53039778e+00\n 3.95228677e+00 4.27486514e+00 5.45776876e+00 4.80722631e+00\n 4.75782627e+00 5.18276508e+00 4.08921293e+00 5.07236224e+00\n 9.22326472e+00 2.97814354e+00 8.33878920e+00 1.63205771e+00\n 3.15863357e+00 1.19705637e+00 1.20040878e+00 1.66741965e+00\n 2.19812653e+00 3.24345759e+00 3.37357488e-01 4.14386335e+00\n 6.44405489e+00 4.51462241e+00 5.18088891e+00 6.30019249e+00\n 5.43732636e+00 5.70334190e+00 5.38318087e+00 4.57467905e+00\n 6.62661984e+00 1.28333395e+01 3.41969998e+00 8.93467205e+00\n 1.91312670e+00 3.56892248e+00 1.23084523e+00 1.35056325e+00\n 1.78677570e+00 1.91627557e+00 2.76178594e+00 6.42601442e-01\n 5.41255568e+00 8.02745661e+00 5.42227646e+00 6.80862708e+00\n 8.10713117e+00 6.22986344e+00 7.43469113e+00 5.44297495e+00\n 5.04566558e+00 8.90481032e+00 2.05622494e+01 3.67353648e+00\n 1.18340610e+01 2.05587202e+00 4.15692531e+00 1.33065379e+00\n 1.52534109e+00 1.95035367e+00 2.13173307e+00 3.06807100e+00\n 1.12050521e+00 6.38130058e+00 1.08238625e+01 6.61719760e+00\n 8.80821594e+00 1.02243884e+01 6.76933361e+00 1.08293669e+01\n 5.13512083e+00 5.70675862e+00 1.19629142e+01 3.05158815e+01\n 3.49841691e+00 1.68516494e+01 2.11426235e+00 4.36369523e+00\n 1.42951765e+00 1.70616131e+00 2.13376242e+00 2.40493783e+00\n 3.75840143e+00 2.26574484e+00 2.23722273e+01 6.56457414e+00\n 1.58016043e+01 7.77130441e+00 1.19215908e+01 9.92975283e+00\n 6.32665665e+00 1.76896758e+01 5.72980558e+00 6.66547915e+00\n 1.46099396e+01 2.74425131e+01 2.60895256e+00 2.25557596e+01\n 2.10329965e+00 3.55522009e+00 1.46305087e+00 1.79885203e+00\n 2.24930742e+00 2.60820577e+00 5.47217293e+00 5.90639043e+00\n 2.61693140e+00 1.18762333e+01 7.60339563e+00 8.19721221e+00\n 8.50754405e+00 7.19830795e+00 7.54436790e+00 7.59118699e+00\n 5.19061731e+00 6.63525732e+00 1.14111167e+01 3.04397038e+00\n 1.69137551e+01 2.87866958e+00 4.65015349e+00 8.53203880e-01\n 1.16273470e+00 1.53165195e+00 2.57295269e+00 2.57507082e+00\n 1.03825546e+00 1.75863102e+01 2.83020990e+00 2.57362196e+00\n 2.76329353e+00 2.56176572e+00 2.48162295e+00 2.55739694e+00\n 2.52558025e+00 2.49938210e+00 2.60947193e+00 2.52896608e+00\n 2.77168105e+00 7.88659621e-01 7.85324581e+00 4.06595934e+00\n 3.17015148e-01 4.00513373e+00 2.72125829e+00 2.39787059e+00\n 2.57840340e+00 2.52863581e+00 2.45189806e+00 2.52158434e+00\n 2.49836032e+00 2.46929513e+00 2.61209341e+00 2.51600662e+00\n 2.75183919e+00 9.57338487e-01 8.49854877e+00 3.89728069e+00\n 2.70298111e+00 2.42721250e+00 2.58318331e+00 2.53811826e+00\n 2.50125433e+00 2.56194454e+00 2.53053713e+00 2.52520610e+00\n 2.64646799e+00 2.53942451e+00 2.74677704e+00 8.86027015e-01\n 8.25867333e+00 3.96859227e+00 2.75060537e+00 2.55630728e+00\n 2.67431245e+00 2.61227280e+00 2.61166953e+00 2.66868292e+00\n 2.62547515e+00 2.65281214e+00 2.74062172e+00 2.63235547e+00\n 2.78193569e+00 8.88489661e-01 6.55656976e+00 3.96612986e+00\n 2.73183989e+00 2.58054631e+00 2.66458920e+00 2.59731028e+00\n 2.61981961e+00 2.66739066e+00 2.61502466e+00 2.66537920e+00\n 2.72784808e+00 2.61411330e+00 2.71597639e+00 8.95084588e-01\n 4.50525881e+00 3.95953493e+00 2.34818759e+00 2.12935437e+00\n 2.18394585e+00 2.12245008e+00 2.17186845e+00 2.18857610e+00\n 2.16404951e+00 2.19101517e+00 2.25395368e+00 2.24984721e+00\n 2.36469703e+00 7.99112725e-01 8.36096497e-01 4.05550691e+00]"", ""s"": ""[3.20327189e+05 4.59765985e+05 5.92287742e+05 3.93369317e+05\n 6.06664448e+05 4.53290715e+05 2.49596599e+05 4.49004555e+05\n 8.12233561e+05 2.18849949e+05 1.81952409e+06 2.52706556e+05\n 6.61952082e+05 1.57589177e+04 5.70118600e+04 7.83187274e+06\n 2.77520183e+06 2.65516215e+06 8.08832323e+05 9.32579277e+05\n 8.94628437e+05 1.01466813e+06 7.58732981e+05 4.28095050e+05\n 1.15226526e+06 7.63382752e+05 5.19004874e+05 1.86221224e+05\n 1.74317221e+05 1.46030658e+06 1.29797557e+06 1.40880355e+06\n 1.29988870e+06 1.26057332e+06 1.30276097e+06 1.29065447e+06\n 1.26216605e+06 1.32302155e+06 1.28996083e+06 2.05468151e+05\n 6.84435473e+04 1.42712018e+06 3.94409977e+06 6.27701886e+05\n 2.15999281e+06 6.38590719e+06 4.63476956e+04 6.77304523e+05\n 2.86042995e+06 4.08573233e+04 1.49995823e+05 7.11359636e+04\n 3.77401547e+04 5.71356657e+04 1.01368243e+05 6.62318259e+04\n 1.38922316e+05 8.75503629e+04 4.40272101e+04 4.64453963e+04\n 1.56557818e+05 4.26144910e+04 1.09583913e+05 2.79845956e+04\n 5.67714014e+05 5.92277637e+05 4.28905317e+05 3.50651584e+05\n 4.69327187e+05 6.85568265e+05 4.23256895e+05 7.06229160e+05\n 4.91045439e+05 2.55112593e+05 3.88255146e+05 8.43048465e+05\n 1.89432227e+05 1.49706021e+06 2.15720594e+05 9.32703123e+05\n 4.31954648e+05 1.11235198e+06 3.56775987e+05 2.15999585e+06\n 2.86114353e+04 1.44586419e+04 5.32705667e+04 2.09092169e+04\n 6.07811365e+06 2.34252797e+06 2.38253388e+06 7.28519312e+05\n 9.98934575e+05 6.64132141e+05 6.24126246e+05 6.38249751e+05\n 3.94163342e+05 1.13011291e+06 7.18171247e+05 4.76790142e+05\n 1.65597106e+05 1.74483218e+05 1.43644876e+06 1.25694109e+06\n 1.33829502e+06 1.32136443e+06 1.28654991e+06 1.31545668e+06\n 1.31084128e+06 1.28563637e+06 1.35166775e+06 1.31483274e+06\n 2.08533854e+05 5.80637663e+04 1.46095846e+06 4.16732560e+06\n 6.05260413e+05 1.76838943e+06 6.04995433e+06 2.54652030e+04\n 3.85245846e+04 1.09879613e+05 5.87799439e+04 3.22833997e+04\n 4.77668637e+04 8.39134701e+04 5.41834353e+04 1.07847670e+05\n 6.85705481e+04 3.47999591e+04 3.83900027e+04 1.20656101e+05\n 3.15922630e+04 9.49727983e+04 2.38683890e+04 5.09060880e+05\n 6.23547442e+05 4.17575194e+05 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9.13450710e+04 2.70986403e+04\n 8.02868726e+04 2.10651454e+04 4.41106037e+05 5.71659439e+05\n 3.72127529e+05 2.66019900e+05 3.33955245e+05 5.23161818e+05\n 2.65526173e+05 5.69278921e+05 3.28939993e+05 1.58626288e+05\n 3.07120270e+05 5.81814946e+05 1.35759791e+05 1.06680554e+06\n 1.81430973e+05 8.92223517e+05 1.11396292e+06 1.28850610e+06\n 9.13173859e+05 5.26326975e+05 3.33767591e+05 1.31266873e+06\n 1.60671984e+05 2.02550832e+04 4.07800110e+07 1.23202886e+04\n 5.45041508e+04 1.15583919e+04 4.49154671e+05 5.47335053e+05\n 3.24334465e+05 2.79995569e+05 4.90820897e+05 2.59424531e+05\n 1.07670368e+06 6.20465091e+05 3.91490285e+05 1.31396260e+05\n 1.72759714e+05 1.44617646e+06 1.31947537e+06 1.38290536e+06\n 1.37780429e+06 1.34988798e+06 1.36467339e+06 1.36483974e+06\n 1.35358148e+06 1.40540871e+06 1.37427054e+06 2.47501987e+05\n 4.86765021e+04 1.49534776e+06 3.17078522e+07 5.11886879e+05\n 7.16470264e+05 3.27277335e+07 1.92026422e+04 3.23835317e+04\n 7.07107479e+04 4.10692230e+04 2.46797838e+04 3.40307763e+04\n 5.77620402e+04 3.61338049e+04 6.95138606e+04 4.26037313e+04\n 2.26160902e+04 2.85204907e+04 7.07490512e+04 2.30424965e+04\n 6.94226839e+04 1.88343268e+04 3.90063049e+05 4.92915460e+05\n 3.26732570e+05 2.30217451e+05 2.74084396e+05 4.40093259e+05\n 1.94197796e+05 4.85493364e+05 2.68106339e+05 1.10597624e+05\n 2.46930120e+05 5.04234064e+05 1.25102205e+05 9.81664036e+05\n 1.81784400e+05 1.07268929e+06 1.20864560e+06 1.24091941e+06\n 6.96352079e+05 4.58275310e+05 3.20624997e+05 1.52294809e+06\n 1.13264128e+05 1.57987646e+05 1.70854358e+04 1.15910510e+04\n 5.50757738e+04 1.63569644e+04 3.81922613e+05 5.08871298e+05\n 3.02995683e+05 2.55271588e+05 4.20036198e+05 1.49776128e+05\n 1.04530823e+06 5.71494720e+05 3.51983868e+05 1.17129968e+05\n 1.74182045e+05 1.51641286e+06 1.40303546e+06 1.46515392e+06\n 1.46182384e+06 1.43130434e+06 1.44098483e+06 1.44693051e+06\n 1.43668245e+06 1.49544892e+06 1.45553134e+06 3.30079616e+05\n 4.13732252e+04 1.56417699e+06 2.14766562e+07 5.16889534e+05\n 3.35188189e+05 2.21512043e+07 1.43325016e+04 3.00549459e+04\n 5.87976430e+04 3.54860197e+04 2.21473619e+04 2.92454811e+04\n 4.90221798e+04 3.01257845e+04 5.75494079e+04 3.48962419e+04\n 1.83997513e+04 2.44498557e+04 5.61390630e+04 2.05793164e+04\n 6.10317614e+04 1.73751304e+04 3.81872089e+05 3.78060234e+05\n 2.66687934e+05 1.90920713e+05 2.05811431e+05 3.36164757e+05\n 1.22174605e+05 3.73222703e+05 2.30198753e+05 5.93183896e+04\n 1.55939881e+05 4.79361153e+05 1.21704482e+05 9.56957089e+05\n 1.54442310e+05 1.20823572e+06 1.35681287e+06 1.25229601e+06\n 6.26957997e+05 4.17225423e+05 3.04088835e+05 1.97117102e+06\n 7.55767893e+04 3.45729595e+05 1.29519197e+04 1.13582677e+04\n 5.35967843e+04 1.59933663e+04 4.88714248e+05 4.97521506e+05\n 2.93566077e+05 2.36233206e+05 5.60929664e+05 2.74067813e+05\n 1.00330822e+06 5.25613740e+05 3.15220379e+05 1.03491340e+05\n 1.79278199e+05 2.09352895e+06 1.94086356e+06 1.99512178e+06\n 2.00147149e+06 1.96478466e+06 1.96980976e+06 1.96614492e+06\n 1.97397490e+06 2.04640809e+06 1.98442452e+06 1.01823831e+06\n 3.83801487e+04 2.06763332e+06 4.23435845e+07 4.93258838e+05\n 1.94935995e+05 4.24361315e+07 1.27693652e+04 1.12091080e+04\n 4.69800243e+04 1.34445281e+04 3.00341141e+04 5.14290544e+04\n 3.21371977e+04 2.16011016e+04 2.70815352e+04 4.35535463e+04\n 2.64010700e+04 4.95265492e+04 3.11002533e+04 1.55839763e+04\n 1.95569271e+04 4.52795870e+04 2.17075294e+04 5.39637978e+04\n 1.68554293e+04 2.01780599e+05 3.85831978e+05 2.12272842e+05\n 1.45051439e+05 1.83485164e+05 3.00423839e+05 1.67626522e+05\n 3.61751872e+05 2.01637786e+05 1.06735805e+05 1.73870963e+05\n 5.20867595e+05 8.64330762e+04 1.30412990e+06 1.24198369e+05\n 1.48139568e+06 1.86404385e+06 1.62418157e+06 6.00398594e+05\n 3.97085562e+05 2.89025744e+05 6.20467069e+04 1.26242127e+04\n 6.44382960e+05 4.06003107e+05 2.85291243e+05 7.21035685e-02\n 5.14913905e+05 3.08616211e+05 2.94554770e+05 7.01048493e-02\n 9.69117321e+05 4.77164162e+05 2.81335789e+05 9.31170074e+04\n 1.54016007e+05 6.84967643e+05 4.28316095e+05 6.08632560e+05\n 4.29698651e+05 3.57783480e+05 4.40240231e+05 4.08108579e+05\n 3.66226590e+05 4.72860926e+05 4.09982654e+05 2.27658826e+05\n 6.88962568e+05 1.56280590e+05 1.49379870e+06 6.53152186e+05\n 4.67679078e+06 3.74421158e+06 2.84958319e+06 1.83491510e+06\n 1.07618222e+06 6.94772114e+06 5.20057888e+05 2.15412721e+05\n 3.54175421e+05 3.22700634e+05 2.67140743e+05 3.23085457e+05\n 3.04537100e+05 2.69445745e+05 3.84526132e+05 3.19207248e+05\n 1.92755197e+05 6.29977286e+05 1.45801296e+05 1.38186274e+06\n 5.69487085e+05 3.79052282e+06 2.79158831e+06 2.12745623e+06\n 1.50333002e+06 8.65080373e+05 4.65217775e+06 4.10505568e+05\n 1.46388306e+05 2.61735458e+05 2.49095753e+05 2.06284510e+05\n 2.44011561e+05 2.28617973e+05 2.09150987e+05 3.03582213e+05\n 2.47804203e+05 1.46067480e+05 5.34370172e+05 1.21664275e+05\n 1.15032469e+06 4.76800574e+05 2.91339483e+06 2.25215760e+06\n 1.87284629e+06 1.55916624e+06 9.65808474e+05 3.00434282e+06\n 3.16248365e+05 1.07805589e+05 2.08059684e+05 1.93126286e+05\n 1.60863709e+05 1.87096740e+05 1.74378758e+05 1.68188349e+05\n 2.49795985e+05 1.93617572e+05 1.12397356e+05 4.64222812e+05\n 1.03127596e+05 9.64950858e+05 3.91656462e+05 2.42325210e+06\n 1.87591711e+06 1.55158270e+06 1.27158719e+06 7.80766379e+05\n 1.80430900e+06 2.58307877e+05 8.22337177e+04 1.73048592e+05\n 1.59135253e+05 1.28682287e+05 1.46044000e+05 1.40613365e+05\n 1.39119934e+05 2.25779621e+05 1.59947612e+05 8.23720184e+04\n 4.40460147e+05 9.31240530e+04 8.73894495e+05 3.34149480e+05\n 2.09344162e+06 1.58457040e+06 1.28157477e+06 1.02630323e+06\n 6.06267124e+05 9.90261183e+05 7.31676928e+04 2.63739794e+05\n 6.20335402e+04 1.40998381e+05 1.35743936e+05 9.75340422e+04\n 1.09336138e+05 1.07753256e+05 1.16860901e+05 2.15566310e+05\n 1.41135055e+05 7.25433632e+04 6.01496935e+05 9.59178783e+04\n 9.60062222e+05 4.37351606e+05 1.98632528e+06 1.48880384e+06\n 1.19523782e+06 9.59004668e+05 3.98075092e+05 5.34425448e+05\n 4.06454852e+05 1.87518804e+05 2.93585567e+05 2.57567393e+05\n 1.98275722e+05 2.54641403e+05 2.24841930e+05 2.96516303e+05\n 3.69631253e+05 2.55572638e+05 1.81860488e+05 9.45619907e+05\n 1.66922927e+05 1.20151080e+06 5.81136132e+05 2.05884925e+06\n 1.54393542e+06 1.23531927e+06 9.40764581e+05 9.40764582e+05\n 2.27594841e+06 4.33516268e+05 1.11425560e+06 1.20857613e+06\n 1.13908765e+06 1.20910671e+06 1.24170650e+06 1.20143740e+06\n 1.22146255e+06 1.23485612e+06 1.18907729e+06 1.21889483e+06\n 1.12579188e+06 6.38590691e+06 2.38191606e+05 6.27702171e+05\n 7.62502559e+06 7.76113633e+05 1.12109180e+06 1.24622929e+06\n 1.18882053e+06 1.20336472e+06 1.22411010e+06 1.19707215e+06\n 1.21100511e+06 1.22089155e+06 1.17184255e+06 1.20032641e+06\n 1.13211015e+06 6.04995407e+06 2.09766488e+05 6.05260672e+05\n 1.12590258e+06 1.23455873e+06 1.18857432e+06 1.19617741e+06\n 1.20806913e+06 1.19088075e+06 1.20398190e+06 1.20588413e+06\n 1.16815498e+06 1.19261477e+06 1.14330996e+06 8.30036603e+06\n 2.14187593e+05 5.71627215e+05 1.13013237e+06 1.21187405e+06\n 1.17504995e+06 1.18488227e+06 1.18922854e+06 1.17778092e+06\n 1.19066526e+06 1.18559740e+06 1.15581700e+06 1.18085723e+06\n 1.14924818e+06 3.27277314e+07 2.39151692e+05 5.11888988e+05\n 1.13239819e+06 1.19509495e+06 1.16639854e+06 1.17698179e+06\n 1.17691527e+06 1.16923404e+06 1.18061035e+06 1.17185572e+06\n 1.14396251e+06 1.16987693e+06 1.16179862e+06 2.21512029e+07\n 3.89828109e+05 5.16890963e+05 9.84259294e+05 1.03330016e+06\n 1.00859354e+06 1.02019769e+06 1.02172076e+06 1.01494376e+06\n 1.01286181e+06 1.01158414e+06 9.85311917e+05 9.97759589e+05\n 9.98535606e+05 4.24361289e+07 4.20646385e+07 4.93261421e+05]"", ""info"": {""exitFlag"": 2, ""pcost"": -2080075.3852333315, ""dcost"": 237.12410305656192, ""pres"": 0.008567951389708003, ""dres"": 0.3735373383500872, ""pinf"": 0.0, ""dinf"": 1.0, ""pinfres"": 4.226035606697682e-06, ""dinfres"": 9.144170537685006e-09, ""gap"": 0.001932413061384613, ""relgap"": 9.29011070994355e-10, ""r0"": 1e-08, ""iter"": 10, ""mi_iter"": -1, ""infostring"": ""Dual infeasible"", ""timing"": {""runtime"": 0.005177749000000001, ""tsetup"": 0.000473458, ""tsolve"": 0.004704291}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3203,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,stair,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:40,0.022047996520996094,UNBOUNDED,,,,,,,"{""solver_solve_time"": 0.01753970794379711, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.01753970794379711, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3199,cvxpy_osqp,cvxpy-1.6.5-OSQP-1.0.4,NETLIB,stair,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:37,0.021290063858032227,UNBOUNDED,,,,,,,"{""solver_solve_time"": 0.016674999, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.016674999, ""solver_name"": ""OSQP"", ""extra_stats"": ""namespace(x=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([-3.18735995e-06, 3.18952180e-06, 3.83569298e-05, -2.38140175e-06,\n -1.08274520e-06, -1.83829712e-06, -6.30800559e-06, -1.03566248e-06,\n -1.34538632e-06, -2.78088797e-06, -7.94250064e-07, -2.70599081e-06,\n -2.08537213e-06, 5.62541153e-07, -4.65824319e-06, -9.84298384e-08,\n -1.10444652e-05, -1.79277452e-06, 4.20337820e-08, 6.00232571e-08,\n 2.31265681e-08, 1.57545950e-08, 6.45157748e-07, -7.61004558e-05,\n -8.14181884e-05, -4.82103210e-01, 3.50259619e-06, 1.18561820e-06,\n 2.18711086e-05, -4.66422677e-05, 5.62175219e-06, -4.82104304e-01,\n 7.64386164e-05, -4.36983019e-06, -2.16737716e-06, -7.25909147e-06,\n -4.46817309e-06, -5.55216421e-06, -6.57595390e-06, -9.83649106e-06,\n -4.23796630e-06, -9.83175785e-06, -6.74508253e-06, -1.33700244e-07,\n -7.72581977e-06, -9.20132184e-07, -1.82362989e-05, -1.95430513e-06,\n 4.74133292e-08, 2.31186246e-08, -5.30996280e-09, 1.51257737e-07,\n 2.18311141e-07, -6.45662781e-05, -6.91036344e-05, -5.01887951e-01,\n -9.59106466e-07, -4.48355273e-06, -2.86711683e-06, -1.16210886e-04,\n 7.90953845e-06, -5.23533662e-08, -8.27223646e-08, -5.99926548e-08,\n -5.01886621e-01, 6.94446673e-05, -6.33755072e-06, -3.29196599e-06,\n -8.97330057e-06, -4.67011385e-06, -6.23293602e-06, -7.92395863e-06,\n -1.05941558e-05, -5.70364749e-06, -1.13763622e-05, -7.31849251e-06,\n -9.81151955e-07, -1.23782059e-05, -1.37416483e-06, -2.62949464e-05,\n -4.26663260e-06, 1.85819462e-08, 5.51735451e-09, 4.07305426e-08,\n 2.89203793e-07, 1.65504125e-07, -7.84810231e-05, -8.22793582e-05,\n -6.43930757e-01, -2.05499708e-06, -1.12744240e-05, -1.66170626e-05,\n -1.63234076e-04, 9.07233464e-06, -9.22932529e-08, -4.16697014e-08,\n -1.04130155e-07, -6.07044920e-08, -6.43930195e-01, 3.11804497e-05,\n -8.46678096e-06, -5.22500531e-06, -1.13704837e-05, 2.08492406e-06,\n -6.71270368e-06, -9.43588911e-06, -1.00087582e-05, -7.69395645e-06,\n -1.23793836e-05, -7.57470578e-06, -2.26216782e-06, -1.59413582e-05,\n -1.59309634e-06, -3.18034605e-05, -6.59348593e-06, 2.50372779e-08,\n -3.59057941e-09, 6.78230568e-08, 3.45730367e-07, -4.68441800e-07,\n 5.40933540e-05, 6.40312902e-05, -7.92818636e-01, -1.36037573e-05,\n -7.32634633e-06, -2.04476546e-05, -1.62299203e-04, 7.73380055e-06,\n -1.35057704e-07, -7.59864268e-08, -1.63946173e-07, -1.06325711e-07,\n -7.92743780e-01, -9.11821932e-06, -5.77241124e-06, -3.24330306e-06,\n -4.20735371e-06, -1.72444986e-06, -1.05404360e-06, -2.78663058e-06,\n -8.77742882e-07, -3.69380184e-06, -3.27025285e-06, -1.12698178e-06,\n -1.02432180e-06, -1.49183926e-05, -1.83077067e-06, -2.65401637e-05,\n -8.55235858e-06, 3.14900429e-08, 6.36755671e-08, 6.92104472e-08,\n 5.30985775e-08, 1.94391077e-07, 8.95535854e-06, 1.01545216e-05,\n -5.21203096e-01, -7.00915614e-06, -8.71598257e-06, -1.49951673e-05,\n -1.18779591e-04, 5.62832973e-06, -1.71236810e-07, -9.28446869e-08,\n -1.41232495e-07, -1.13962163e-07, -5.21154381e-01, -4.04195164e-05,\n -5.00590385e-06, -3.56340089e-06, -5.08370826e-06, 6.40941356e-06,\n -1.71954774e-06, -3.43668032e-06, -7.21080293e-07, -3.95381385e-06,\n -3.64858335e-06, -1.48570864e-06, -1.06030568e-06, -1.01244968e-05,\n -8.60767073e-07, -1.75186802e-05, -5.58296536e-06, 1.83555172e-08,\n 5.40290998e-08, 6.01545409e-08, -3.64869257e-08, -4.88544345e-08,\n 1.48093530e-04, 1.51417454e-04, -1.00000000e+00, -1.62626339e-05,\n -6.49051955e-06, 3.89475596e-06, -4.84992301e-05, 2.65948771e-06,\n -1.21022013e-07, -4.51696563e-08, 2.23587212e-08, -5.92286904e-08,\n -2.64169274e-05, -3.20858796e-08, 8.05018171e-08, 7.85978493e-08,\n -2.44116818e-07, -6.98006538e-07, -3.21384069e-08, 3.80106890e-09,\n 1.08892207e-07, 1.63476870e-06, 2.56002183e-06, 3.58125246e-06,\n -1.55472205e-05, 1.82218892e-06, 1.27993121e-06, -7.18523972e-06,\n 1.79894094e-06, 1.90996204e-06, -7.93429525e-06, -2.31454731e-06,\n 3.05053563e-07, 1.77154739e-06, 2.52266987e-06, 6.56851313e-07,\n 4.04570142e-08, 3.60451122e-08, 1.97568943e-08, 3.87646435e-08,\n 1.35454058e-08, -9.33266706e-06, 8.69859827e-07, 2.29254076e-06,\n 8.82950621e-07, -1.31869721e-05, -1.39030256e-06, -9.37726460e-07,\n -9.13513193e-06, 6.92255556e-07, -1.15586226e-06, -8.54566883e-06,\n -1.45219258e-06, 1.37100158e-06, -2.95408488e-07, 2.69402038e-06,\n 9.03708714e-07, 4.12951682e-08, 2.91048131e-08, 1.67574183e-08,\n 4.41497787e-08, -1.86859415e-07, 7.89895681e-06, 5.37286222e-07,\n 3.01863318e-06, 1.61508189e-06, -2.09991386e-05, -2.42131713e-06,\n -1.09891483e-06, -1.14409240e-05, 1.03540091e-06, -1.45563402e-06,\n -9.36322220e-06, -1.39260521e-06, 5.59955420e-07, -1.30736850e-06,\n 9.66633938e-07, 3.88736925e-07, 1.20563621e-08, 1.43300068e-08,\n 4.66494066e-08, 1.08309009e-07, -2.31772390e-08, 7.68926837e-06,\n -2.04728430e-06, -2.30175264e-06, -4.87548553e-06, 1.23231661e-05,\n -3.38930471e-06, -2.78015163e-06, 2.15533090e-06, -1.98761564e-06,\n -4.04984411e-06, 2.01931046e-06, 1.28580759e-06, 3.65572173e-07,\n -1.31117589e-06, -2.28993867e-06, 2.73285045e-07, 1.54424399e-08,\n 1.76143352e-08, 4.50540127e-08, 6.36481945e-08, 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2.20460782e-05, 2.18124523e-05,\n 1.99195678e-05, 2.15084944e-05, 2.22994121e-05, 1.99717352e-05,\n 2.45243417e-05, -7.92830562e-01, -3.80325982e-05, -7.41961533e-06,\n 3.81803807e-06, 3.55338639e-06, 3.12334016e-06, 4.92915198e-06,\n 3.47020872e-06, 3.29519516e-06, 3.03977741e-06, 3.41474763e-06,\n 3.26442784e-06, 2.77626134e-06, 4.40329189e-06, -5.21203550e-01,\n -2.43467255e-05, -2.82432085e-07, 5.80233419e-05, 5.92137039e-05,\n 5.85626839e-05, 4.36630977e-05, 5.61230390e-05, 5.67752809e-05,\n 4.99979617e-05, 5.79006987e-05, 5.68061143e-05, 5.13246117e-05,\n 5.74398332e-05, -9.99986916e-01, -9.99895133e-01, 8.14006512e-06]), info=namespace(_pybind11_conduit_v1_=>, status='dual infeasible', status_val=5, status_polish=0, obj_val=-1e+30, prim_res=9.842210989402762, dual_res=3.189778152959077, iter=575, rho_updates=4, rho_estimate=1e-06, setup_time=0.000830583, solve_time=0.015844416, update_time=0.0, polish_time=0.0, run_time=0.016674999))""}}, ""problem_class"": ""LP""}" +3202,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,stair,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:40,0.028638839721679688,UNBOUNDED,,,,,,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3197,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,stair,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:36,0.023658037185668945,UNBOUNDED,,,,,,400,"{""solver_solve_time"": 0.017934666, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solve_time"": 0.017934666, ""setup_time"": 0.001107958, ""num_iters"": 400, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-2.15633836e-01 2.15633836e-01 -5.08753265e-02 -1.61150353e-01\n -7.33155041e-02 -1.24420723e-01 -6.60080455e-02 -5.77899673e-02\n -9.86555137e-02 -9.23858122e-02 -9.58407600e-02 -1.24671287e-01\n 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nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan]"", ""s"": ""[ 0.00000000e+00 -1.01601785e-30 0.00000000e+00 -8.93902700e-31\n -5.41054558e-32 -4.12439770e-31 3.58992285e-04 2.15335658e-04\n 9.87152537e-05 1.47676151e-04 1.33256705e-04 3.26478409e-04\n 8.88228396e-04 3.85613671e-03 1.26651053e-04 1.07307230e-03\n 2.81069422e-04 5.62553084e-04 4.34764697e-02 7.67476072e-03\n 2.08427179e-03 6.89508087e-01 2.86293208e-01 3.03481713e-01\n 7.63330733e-02 1.03152129e-03 1.99905977e-02 2.80209235e-03\n 1.77993567e-02 4.06715212e-02 1.43233144e-06 1.19439727e-05\n 2.10369604e-05 7.40648694e-05 1.81745813e-04 2.79850554e-01\n 1.31781330e-01 1.96807188e-01 1.53863582e-01 9.02159190e-02\n 1.32857944e-01 1.04648013e-01 1.51693888e-01 2.00786418e-01\n 1.30060948e-01 2.45302594e-04 3.13852479e-04 2.54218769e-01\n 2.28751126e+00 3.09836775e-04 1.01268515e+00 2.48909540e+00\n 9.57431628e-04 2.07406577e+00 7.06674612e-01 8.15512537e-04\n 6.75529535e-05 2.15481137e-04 7.79268199e-04 3.65670865e-04\n 1.47682703e-04 3.22694564e-04 6.41870716e-05 1.15643048e-04\n 3.13052740e-04 1.43516855e-04 1.40550004e-04 1.57035675e-03\n 3.19528151e-04 6.42488012e-04 4.07013150e-04 1.45842362e-04\n 3.88914487e-04 3.63999636e-04 2.67109681e-04 2.88894337e-04\n 1.34206743e-04 5.02834659e-04 5.35574066e-04 7.39307904e-04\n 2.89327861e-03 3.47687055e-05 1.08849541e-03 4.70683505e-04\n 9.12494930e-04 5.49406864e-05 2.00093956e-04 1.34820045e-04\n 5.69285664e-03 8.81266508e-01 8.13215379e-04 8.12647546e-03\n 2.98518615e-03 4.96431034e-03 6.82361025e-01 2.98512185e-01\n 3.07972807e-01 2.22331450e-01 1.09345389e-02 9.59034795e-03\n 1.29726777e-04 1.85718980e-04 5.59794854e-03 1.28919974e-06\n 1.54283390e-05 2.45419612e-05 7.44902007e-05 1.60913382e-04\n 2.38809403e-01 1.36188423e-01 1.64597960e-01 1.61910133e-01\n 1.24125896e-01 1.70471594e-01 1.39461490e-01 1.72740228e-01\n 1.98019901e-01 1.68354421e-01 4.96337708e-04 1.16586525e-04\n 2.19566480e-01 2.26870879e+00 1.14396458e-04 7.06691981e-01\n 2.41702420e+00 1.71934948e-03 8.14625909e-04 5.55048700e-05\n 1.96176541e-04 8.99982673e-04 3.55714006e-04 1.43735941e-04\n 3.41985707e-04 5.42689976e-05 1.13604570e-04 2.57517506e-04\n 1.03157259e-04 1.08403227e-04 1.70831460e-03 1.98313276e-04\n 8.17685479e-04 3.82481262e-04 1.15362646e-04 4.71981744e-04\n 3.21079366e-04 3.12043462e-04 3.51638013e-04 2.57992587e-04\n 3.34664651e-04 5.50302767e-04 6.89844366e-04 1.52319941e-03\n 2.14518583e-04 1.23521472e-03 3.72640379e-04 7.80591931e-04\n 1.05331497e-04 4.10641047e-03 3.65004984e-04 4.54145904e-05\n 2.33096357e-04 3.44017768e-02 2.68316054e-03 1.48741855e+00\n 2.34062668e-03 8.67981830e-03 3.65691976e-03 4.36881461e-03\n 1.07511665e-01 3.28427673e-05 2.01265387e-04 1.51714423e-04\n 2.92891072e-05 1.14416115e-03 8.78689838e-07 1.59198726e-05\n 2.21384969e-05 6.37003960e-05 1.49595950e-04 2.50321227e-01\n 2.17280430e-01 2.22559076e-01 2.19931255e-01 1.99608136e-01\n 2.29078796e-01 2.13109555e-01 2.31223894e-01 2.46828045e-01\n 2.07724754e-01 1.02329602e-03 2.84541382e-04 2.57537887e-01\n 2.73282093e+00 7.16321918e-05 2.96082543e-01 2.83699642e+00\n 2.30949752e-03 8.43779961e-04 5.20545329e-05 1.79838021e-04\n 1.03571752e-03 4.40406423e-04 1.05992186e-04 3.88720717e-04\n 1.91007959e-05 8.35141521e-05 3.43972579e-04 2.13894329e-04\n 6.70486478e-05 1.79262157e-03 2.38470485e-04 9.30670167e-04\n 3.51587211e-04 1.36701786e-04 5.27297581e-04 5.67357857e-04\n 3.00118242e-04 3.04356256e-04 2.24544246e-04 4.19462473e-04\n 4.78700146e-04 6.00384955e-04 1.54778328e-03 9.23003377e-05\n 1.23987728e-03 1.09257808e-03 1.20736813e-03 2.68751723e-02\n 9.59185544e-02 9.70874309e-02 1.16427912e-04 3.36466077e-04\n 3.00474082e-04 1.10138352e-01 2.32273805e-04 3.66139103e-03\n 1.61460661e+00 9.35757652e-03 4.47971859e-03 4.72251188e-03\n 6.63120584e-03 1.61317587e-04 5.97234047e-04 1.25736773e-04\n 6.72072757e-02 9.14617185e-04 6.59192127e-07 1.58415267e-05\n 2.07419647e-05 5.70686728e-05 1.64904960e-04 3.47571235e-01\n 3.30972316e-01 3.28614479e-01 3.30139345e-01 3.29481447e-01\n 3.32870132e-01 3.20856831e-01 3.28571721e-01 3.44339402e-01\n 3.36654549e-01 2.20887425e-03 5.59533405e-04 3.89394737e-01\n 3.04415542e+00 8.35060730e-05 7.82532101e-05 3.12141706e+00\n 2.55300721e-03 1.01716675e-03 4.94599838e-05 1.30157596e-04\n 1.20465985e-03 5.37504814e-04 9.98197372e-05 4.81830424e-04\n 1.81069186e-05 9.36966714e-05 3.79438849e-04 3.58557789e-04\n 2.03652214e-04 1.99642200e-03 5.21703872e-04 9.65970793e-04\n 4.12670954e-04 5.04333653e-04 8.33874060e-04 8.25221103e-04\n 4.79106569e-04 4.55732491e-04 5.32251739e-04 7.68868146e-04\n 6.39560565e-04 1.27582191e-03 3.42246050e-03 1.15825175e-03\n 1.74642532e-03 5.27500825e-03 1.48149670e-03 8.60501066e-02\n 1.47231801e-01 1.50535273e-01 6.85559992e-04 1.45521011e-04\n 3.13841740e-04 1.50594501e-01 3.03018312e-04 2.20928034e-04\n 4.22254664e-03 1.01876072e-02 5.48759504e-03 5.20656765e-03\n 5.56229250e-04 1.63856267e-04 2.08677608e-03 7.97155525e-05\n 7.66792863e-02 6.12290812e-04 9.06413559e-07 1.39037128e-05\n 1.75022362e-05 4.56843301e-05 1.85509708e-04 4.74044523e-01\n 4.45312569e-01 4.60659426e-01 4.55622367e-01 4.50786111e-01\n 4.56442262e-01 4.33538262e-01 4.50098239e-01 4.68142330e-01\n 4.53357478e-01 3.30893176e-03 1.08278557e-03 5.44549057e-01\n 2.02453698e+00 1.94969695e-05 1.04597724e-04 2.08042632e+00\n 2.59140490e-03 1.44562362e-03 9.84901132e-05 1.24351106e-04\n 1.35366091e-03 5.88222737e-04 8.79270482e-05 4.54402913e-04\n 4.59355730e-05 1.35373968e-04 6.55888278e-04 5.36113471e-04\n 3.66875962e-04 2.08927723e-03 6.80779716e-04 9.03791613e-04\n 1.31676263e-03 1.60381545e-03 1.64270680e-03 9.43587559e-04\n 6.77031273e-04 1.12161475e-03 6.99270693e-04 1.09683262e-03\n 2.10207514e-03 2.35100689e-03 1.56639944e-03 5.10355320e-03\n 1.54849629e-03 1.29512894e-02 4.44877424e-03 1.17653409e-01\n 1.68304065e-01 1.70741599e-01 8.63939740e-04 7.43382761e-05\n 2.96707573e-04 2.92427133e-01 5.90657165e-04 1.45373661e-04\n 4.65240742e-03 1.17650965e-02 6.72226064e-03 5.57995548e-03\n 5.78774253e-04 2.56304668e-04 3.59788048e-02 1.40504322e-04\n 2.05581992e-01 3.62218572e-03 5.41649305e-07 1.21488058e-05\n 1.13309999e-05 3.05155860e-05 2.08457243e-04 8.77880148e-01\n 8.34781394e-01 8.15903186e-01 8.30115095e-01 8.00835874e-01\n 8.18857504e-01 7.71575946e-01 8.43351758e-01 8.31593699e-01\n 7.97568678e-01 2.92426518e-01 1.99588715e-03 8.51868246e-01\n 4.10414411e+00 8.97165131e-05 1.69770212e-04 3.91091052e+00\n 2.03322918e-03 3.33315091e-03 5.74967503e-03 8.88328528e-03\n 1.43693373e-03 5.13801626e-05 6.94187372e-05 1.24319386e-03\n 5.21402583e-04 1.22774875e-04 3.78070301e-04 4.23437966e-04\n 4.31840757e-04 7.53007395e-04 8.66230333e-04 1.70384152e-04\n 2.59829199e-03 5.31324762e-04 7.27958246e-04 2.89206483e-03\n 5.67194379e-03 8.91848187e-03 2.05472402e-03 2.11834772e-03\n 6.37367808e-03 4.86233503e-03 8.06442789e-03 8.93829097e-03\n 6.27229456e-03 6.37782722e-03 2.58320650e-02 3.73695743e-03\n 5.41292429e-02 7.84693547e-03 2.31126834e-01 3.92115055e-01\n 3.65711749e-01 5.06137778e-02 3.88314487e-04 2.61854690e-04\n 3.27871906e-03 1.11989324e-02 2.66989667e-01 1.10418157e-01\n 2.02540545e-04 0.00000000e+00 4.41278079e-03 1.71583559e-01\n 3.38235093e-01 0.00000000e+00 9.92509330e-06 2.14591258e-05\n 5.27175689e-05 2.54195875e-04 1.41680746e-02 4.40656824e-02\n 2.30864738e-02 2.83409607e-02 2.72234563e-02 2.70466788e-02\n 3.25873174e-02 2.94727556e-02 2.88138907e-02 3.24000208e-02\n 3.01701637e-02 2.11221249e-02 4.41342038e-02 1.11760375e-02\n 9.23449556e-02 3.92218458e-02 1.76966114e-01 1.75934593e-01\n 1.55943995e-01 1.53141903e-01 1.35342546e-01 6.32210361e-01\n 8.56146586e-02 5.25503743e-02 7.04467026e-02 6.06438566e-02\n 5.77210899e-02 7.19373066e-02 6.83322228e-02 6.92824053e-02\n 7.95149980e-02 6.80081649e-02 4.69889963e-02 1.21289196e-01\n 2.86409058e-02 2.37266573e-01 9.27154872e-02 1.74705880e-01\n 1.63771341e-01 1.54180993e-01 1.54051267e-01 1.53865548e-01\n 3.84945594e-01 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8.99704579e-02 4.89114135e-02 4.44680544e-02\n 4.82962106e-02 4.80097542e-02 5.59911334e-02 3.14426681e-02\n 5.67529063e-02 5.78935152e-02 3.58016976e-02 4.13258543e-02\n 1.12716628e-01 2.68085631e-02 1.91530264e-01 8.59003195e-02\n 3.53814102e-01 3.53557797e-01 3.17578992e-01 3.17438488e-01\n 1.11856495e-01 2.86622497e-02 7.17491820e-02 3.18164416e-02\n 2.06615501e-02 3.14044632e-02 2.22684875e-02 3.06974131e-02\n 1.34268486e-02 3.65111796e-02 2.44109477e-02 1.66843945e-02\n 2.46698815e-02 1.01063787e-01 2.10304964e-02 1.32866209e-01\n 7.47973539e-02 8.14102919e-01 8.09690138e-01 6.38106579e-01\n 2.99871486e-01 2.99871486e-01 2.15633836e-01 5.08753264e-02\n 2.73052343e-01 1.45962328e-01 2.05733699e-01 1.63907597e-01\n 1.00436712e-01 1.37538098e-01 1.12442729e-01 1.60147469e-01\n 2.05653869e-01 1.37158256e-01 2.53197580e-01 2.48918965e+00\n 5.84330798e-05 2.15587962e-04 2.70627613e+00 5.17011504e-01\n 2.37628056e-01 1.68071361e-01 1.78584569e-01 1.85699589e-01\n 1.50838118e-01 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""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:53,0.007535219192504883,OPTIMAL,1257.6995,1257.6995000000002,-2.2737367544323206e-13,1.3070408324034048e-17,0.0,174,"{""solver_solve_time"": 0.002098875120282173, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1257.6995000000002, ""solver_stats"": {""solve_time"": 0.002098875120282173, ""num_iters"": 174, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3217,cvxpy_osqp,unknown,NETLIB,standgub,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:50,0.22497797012329102,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3220,cvxpy_scip,unknown,NETLIB,standgub,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:52,0.02600407600402832,ERROR,,,,,,,"{""error_message"": ""cannot reshape array of size 1502 into shape (1503,)"", ""problem_class"": ""LP""}" +3215,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,standgub,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:19:49,0.03693413734436035,OPTIMAL,1257.697242658183,1257.6949300490542,0.0023126091289213946,3.13153336282859e-06,8.411439962372223e-08,825,"{""solver_solve_time"": 0.031921083, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1257.6949300490542, ""solver_stats"": {""solve_time"": 0.031921083, ""setup_time"": 0.0008209999999999999, ""num_iters"": 825, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ 0.00000000e+00 0.00000000e+00 1.34759891e-04 -1.27335767e-05\n 1.35537147e-04 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""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:01,0.012248754501342773,OPTIMAL,1406.0175000000002,1406.0175,2.2737367544323206e-13,2.483718092394446e-16,5.920202764206801e-20,514,"{""solver_solve_time"": 0.006767747923731804, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1406.0175, ""solver_stats"": {""solve_time"": 0.006767747923731804, ""num_iters"": 514, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" 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Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3229,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,standmps,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:00,0.030245065689086914,OPTIMAL,0.0,1406.0175,-1406.0175,1.0635680693193321,5.920202764206801e-20,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1406.0175, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": 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infeasibilities) < 1.00e-08"", ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 15, ""full_info"": {""dimacs"": [3.0381712975829036e-11, 0, 1.5865112156583366e-10, 0, -9.217737515034153e-10, 8.703618083213737e-10], ""termcode"": 0, ""iter"": 15, ""obj"": [-41131.97620650728, -41131.976130677605], ""gap"": 7.160027267766386e-05, ""relgap"": 8.703618083213737e-10, ""pinfeas"": 2.9011116222453336e-11, ""dinfeas"": 5.035396025899389e-11, ""cputime"": 0.14104299999999625, ""time"": {""preproc"": 0.03823600000000482, ""pred"": 0.0505149999999972, ""pred_pstep"": 0.003869999999999152, ""pred_dstep"": 0.003773999999999944, ""corr"": 0.013044999999998197, ""corr_pstep"": 0.0017139999999997713, ""corr_dstep"": 0.0028559999999941965, ""pchol"": 0.005986000000014258, ""dchol"": 0.0027919999999852507, ""misc"": 0.01894600000000679}, ""resid"": [], ""reldist"": [], ""normX"": 12869.724397871962, ""normy"": 2810.592949603403, ""normZ"": 485.41230700018724, ""normb"": 65.97112617924981, ""maxb"": 62.995, ""normC"": 937.1684225540566, ""maxC"": 297.446, ""normA"": 2462.436312141973, ""msg1"": [], ""msg2"": ""stop: max(relative gap, infeasibilities) < 1.00e-08"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3472,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,stocfor1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:51:40,0.23834345833333334,OPTIMAL,-41131.97621940421,-41131.976219436416,3.220338840037584e-08,1.4773086834249393e-09,2.7132843684738076e-19,16,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.23834345833333334, ""setup_time"": [], ""iterations"": 16, ""primal_objective_value"": -41131.97621940421, ""dual_objective_value"": -41131.976219436416, ""duality_gap"": 3.220338840037584e-08, ""primal_infeasibility"": 1.4773086834249393e-09, ""dual_infeasibility"": 2.7132843684738076e-19, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:51:37"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 16, ""feasratio"": 1, ""full_info"": {""iter"": 16, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.5470743426817375e-09, ""timing"": [0.07625184953212738, 0.13914629817008972, 0.00294707715511322], ""wallsec"": 0.21834522485733032, ""cpusec"": 0.3899999999999997}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 16, ""feasratio"": 1, ""full_info"": {""iter"": 16, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.5470743426817375e-09, ""timing"": [0.07625184953212738, 0.13914629817008972, 0.00294707715511322], ""wallsec"": 0.21834522485733032, ""cpusec"": 0.3899999999999997}}, ""problem_class"": ""LP""}" +3231,scipy_linprog,scipy-1.15.3,NETLIB,stocfor1,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:01,0.002164125442504883,OPTIMAL,-41131.9762194364,,,0.0,,67,"{""solver_solve_time"": 0.002164125442504883, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -41131.9762194364, ""scipy_nit"": 67, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3241,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:08,0.054595947265625,OPTIMAL,-39024.40848968686,-39024.4084982199,8.533039363101125e-06,1.0597026741957308e-07,8.388180541985745e-12,21,"{""solver_solve_time"": 0.025676291, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -39024.4084982199, ""solver_stats"": {""solve_time"": 0.025676291, ""num_iters"": 21, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3245,cvxpy_cvxopt,unknown,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:29,13.870625019073486,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3243,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:12,0.05598282814025879,OPTIMAL,-39024.40853592062,-39024.40853597104,5.041511030867696e-08,5.690037137796371e-09,2.4940392424674433e-13,22,"{""solver_solve_time"": 0.02522375, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -39024.40853597104, ""solver_stats"": {""solve_time"": 0.02522375, ""setup_time"": 0.001118041, ""num_iters"": 22, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-3.78185114e+02 -4.00907862e+02 -4.09606678e+02 ... -2.28973900e-12\n -1.62660323e-12 -2.73626340e-12]"", ""y"": ""[]"", ""z"": ""[2.90677341e-11 4.13164866e-11 9.40963110e-11 ... 5.36811085e+02\n 4.61452677e+02 5.87235780e+02]"", ""s"": ""[7.79399060e+01 5.51669975e+01 2.46726773e+01 ... 4.30140339e-12\n 5.03844355e-12 3.99778872e-12]"", ""info"": {""exitFlag"": 0, ""pcost"": 39024.40853597104, ""dcost"": 39024.40853592068, ""pres"": 1.0746022982477968e-12, ""dres"": 3.4852034311906945e-12, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": 0.01240074291391694, ""dinfres"": NaN, ""gap"": 1.0440492179267751e-05, ""relgap"": 2.675374866900961e-10, ""r0"": 1e-08, ""iter"": 22, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.026341791, ""tsetup"": 0.001118041, ""tsolve"": 0.02522375}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3248,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:32,0.04211997985839844,OPTIMAL,-39024.40853788204,-39024.408537882024,-1.4551915228366852e-11,1.2378536848228752e-13,5.2798654888767945e-18,738,"{""solver_solve_time"": 0.014122668653726578, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -39024.408537882024, ""solver_stats"": {""solve_time"": 0.014122668653726578, ""num_iters"": 738, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3244,cvxpy_osqp,unknown,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:14,0.8333549499511719,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3247,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:31,0.11649823188781738,OPTIMAL,-28085.238479254178,-39024.408537882024,10939.170058627846,148.77292842500262,7.616227392897058e-18,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -39024.408537882024, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3242,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:11,3.0148627758026123,OPTIMAL,-39024.4079310403,-39024.399071641164,-0.008859399138600565,2.7751997840040727e-05,7.66255951764161e-08,24775,"{""solver_solve_time"": 2.985019208, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -39024.399071641164, ""solver_stats"": {""solve_time"": 2.985019208, ""setup_time"": 0.002600166, ""num_iters"": 24775, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[-3.78200777e+02 -4.00925976e+02 -4.09606368e+02 ... 2.15598691e-09\n 4.97275070e-09 4.63877551e-08]"", ""y"": ""[ 0. 0. 0. ... 536.80987305 461.45161921\n 587.23828493]"", ""s"": ""[77.92907845 55.15967897 24.66943197 ... 0. 0.\n 0. ]"", ""info"": {""status_val"": 1, ""iter"": 24775, ""scale_updates"": 2, ""scale"": 1.0040352157686154, ""pobj"": 39024.39907164116, ""dobj"": 39024.4079310403, ""res_pri"": 0.0007541698847139801, ""res_dual"": 0.00061650499476731, ""gap"": 0.0088593991493886, ""res_infeas"": 0.0015886211549845726, ""res_unbdd_a"": NaN, ""res_unbdd_p"": NaN, ""comp_slack"": 1.9380464190500315e-15, ""solve_time"": 2985.019208, ""setup_time"": 2.600166, ""lin_sys_time"": 2483.4690689999807, ""cone_time"": 172.6908259999946, ""accel_time"": 48.87456900000418, ""rejected_accel_steps"": 222, ""accepted_accel_steps"": 14, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +3246,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:20:30,0.23634886741638184,OPTIMAL,-39024.40086996892,-39024.400869968886,-3.637978807091713e-11,1.2503840588634974e-10,2.1905427791046987e-11,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": -39024.400869968886, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3475,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,stocfor2,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:51:53,0.416607,OPTIMAL,-39024.408528863554,-39024.40855168334,2.281978231621906e-05,3.294452180118972e-10,0.0,26,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.416607, ""setup_time"": [], ""iterations"": 26, ""primal_objective_value"": 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0.06338810920715332, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": -39024.408537882045, ""scipy_nit"": 1661, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3259,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,tuff,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:04,0.02165985107421875,OPTIMAL,0.3109725644728688,0.3109725649495503,-4.76681472072471e-10,0.36174821607411645,2.0911617334699982e-10,20,"{""solver_solve_time"": 0.016520958, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 0.3109725649495503, ""solver_stats"": {""solve_time"": 0.016520958, ""num_iters"": 20, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3263,cvxpy_cvxopt,unknown,NETLIB,tuff,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:10,0.023814916610717773,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3261,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,tuff,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:09,0.017102956771850586,OPTIMAL,0.3109723730715774,0.3109723730715807,-3.3306690738754696e-15,0.12625611129278497,7.274499372394907e-12,24,"{""solver_solve_time"": 0.012760541, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 0.3109723730715807, 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8.91390066e-17\n 1.36438857e-17 1.22892037e-03 1.03022549e-01 1.11453129e-15\n 1.25927364e-03 2.58880245e-06 3.97390909e-16 6.44415092e-05\n 3.16072987e-04 9.44908715e-05 3.81082762e-16 8.53133828e-17\n 1.69383502e-15 5.02399609e-16 1.26361217e-15 1.31724582e-15\n 3.37103504e-16 2.18097316e-16 9.35885723e-17 4.77088480e-06\n 5.49831159e-17 4.01349696e-03 7.28809596e-03 4.03155782e-04\n 1.20155830e-03 1.87931628e-04 2.14868486e-04 1.58563194e-03\n 1.36438857e-17 8.84117289e-04 1.34105511e-03 1.26334613e-03\n 1.77079261e-03 3.92355966e-17 1.12276632e-15 1.11296201e-16\n 2.18957020e-05 6.57303614e-04 8.78941616e-04 7.36461903e-04\n 9.43253632e-04 5.39675811e-04 6.80759363e-04 6.72572829e-04\n 7.91975397e-04 2.28131374e-15 1.52447675e-04 4.67964508e-16\n 7.29924485e-05 1.23632675e-16 2.55320260e-05 4.69916276e-05\n 6.16887350e-05 2.85750881e-16 5.14343236e-05 1.62166989e-04\n 6.81793601e-16 4.06131020e-05 4.06131020e-05 5.02553592e-16\n 1.40181435e-15 1.09618334e-05 1.31724582e-15 3.43940080e-01\n 3.37118310e-16 4.24777702e-16 6.89554012e-04 5.09401765e-16\n 1.67471179e-01 5.30723040e-04 7.49352582e-16 8.75693017e-05\n 7.43605793e-16 7.41982272e-16 3.94294951e-16 9.49336568e-05\n 1.77277999e-04 2.45244627e-04 1.18606414e-15 6.68906312e-16\n 1.54802273e-15 1.91533422e-16 1.01500778e-16 2.19417224e-16\n 3.52686821e-05 9.78848309e-06 2.60268132e-04 2.62200266e-04\n 2.52036291e-04 1.84007915e-06 3.64454833e-16 7.82826613e-04\n 4.87526518e-16 2.76464681e-15 2.87864233e-16 7.43315808e-04\n 4.44037040e-14 5.71745887e-06 3.61710047e-06 6.59428634e-04\n 3.27136048e-06 2.24331429e-04 2.73284796e-16 4.45811469e-04\n 1.15659568e-06 3.11815421e-16 1.56071540e-04 1.51665810e-15\n 1.98028565e-16 4.08995003e-04 5.87913806e-14 1.43777297e-04\n 5.48636189e-06 1.45834272e-04 5.00139452e-06 2.93165679e-06\n 4.65258223e-04 2.72091560e-06 1.57584758e-04 1.14814740e-05\n 3.00797529e-04 6.99335981e-04 9.21514164e-04 7.78791927e-04\n 9.85409058e-04 4.21962957e-05 5.51864090e-05 1.23517301e-16\n 2.42914883e-05 2.43412179e-04 6.52419126e-04 2.15664038e-04\n 6.14003945e-04 8.09375376e-04 9.29137206e-04 4.04419305e-15\n 2.30876913e-05 5.30416774e-04 1.14123239e-15 1.08259867e-16\n 1.38884249e-04 1.05159865e-04 2.93808887e-04 9.95260949e-05\n 1.05159865e-04 3.26185810e-05 5.01686284e-05 1.94816213e-15\n 1.52165447e-04 1.60191763e-03 1.61807303e-03 1.66889884e-03\n 1.67850263e-03 4.20220637e-16 7.28239170e-05 2.52587373e-04\n 1.31915171e-05 1.14881980e-15 3.22432351e-04 1.42661512e-03\n 1.40965147e-03 1.46218737e-03 1.44401277e-03 1.81357125e-16\n 1.97798392e-04 1.14472465e-15 3.78279600e-13 7.02406109e-05\n 1.14472465e-15 1.81357125e-16 1.97798394e-04 3.78279600e-13\n 7.02406092e-05 3.36310276e-06 2.22704382e-06 3.76747166e-04\n 2.24871980e-06 1.33477961e-04 7.70986621e-17 1.01585184e-16\n 3.64746651e-16 4.84805700e-16 3.90795897e-16 5.21672289e-16\n 7.81386639e-01 5.21914061e-03 1.35050385e-02 1.67564042e-01\n 3.76458032e-15 2.37869529e-16 1.91077323e-04 7.92771941e-04\n 3.59771303e-03 3.35186260e-15 3.74511554e-03 2.84529118e-15\n 5.73777905e-03 1.53081527e-04 4.71125512e-16 3.49160853e-18\n 8.97881781e-19 7.82112225e-19 1.13598725e-14 9.98124041e-18\n 8.81003604e-19 1.70736750e-18 3.35494678e-18 4.19989814e-18\n 3.69457091e-18 8.81403874e-14 4.31501758e-17 4.14954932e-18\n 8.08598278e-18 1.55991036e-17 4.43788577e-18 3.88867885e-18\n 1.32286073e-13 3.56398984e-17 4.48072440e-18 8.57621714e-18\n 1.35425515e-17 1.05802112e-17 6.74678844e-19 1.26898441e-17\n 3.88643280e-18 3.50022322e-18 5.61680817e-17 2.62923702e-18\n 6.83377904e-17 1.83347087e-17 1.68908866e-17 1.21070932e-16\n 2.60316297e-18 1.39729389e-16 2.01065331e-17 2.42536331e-17\n 1.67471187e-01 1.67471187e-01 1.67471187e-01 2.97814851e-16\n 2.14879225e-18 2.51003890e-17 1.57921522e-18 1.37548231e-05\n 9.31077112e-19 1.67471187e-01 1.44505612e-15 9.89522219e-18\n 2.41743747e-16 7.48228212e-18 1.37548232e-05 4.39950096e-18\n 1.67471187e-01 1.67471187e-01 1.67471187e-01 1.56842135e-15\n 1.02641386e-17 1.13296944e-15 7.73550700e-18 1.37548232e-05\n 4.75291352e-18 1.67471187e-01 4.26590022e-16 3.41676981e-16\n 8.53486479e-17 3.42410935e-16 1.70892300e-16 7.60706319e-17\n 2.76215088e-15 1.15717110e-04 1.67554892e-01 9.21622855e-16\n 3.95463344e-03 6.94140112e-18 7.79020557e-18 6.86535775e-18\n 3.79970906e-03 7.60523977e-18 6.88592010e-18 7.31077789e-18\n 6.82334671e-18 2.90426140e-16 4.26533129e-17 2.27373726e-16\n 4.43162920e-01 1.07090635e-16 1.70699565e-15 3.92022431e-16\n 3.41390594e-15 1.67564042e-01 3.40985752e-15]"", ""info"": {""exitFlag"": 0, ""pcost"": -0.3109723730715808, ""dcost"": -0.3109723730715774, ""pres"": 5.789211882991651e-14, ""dres"": 1.826508911234163e-16, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.0003206791287170102, ""gap"": 1.1232754965048522e-10, ""relgap"": 3.61213919233363e-10, ""r0"": 1e-08, ""iter"": 24, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.013243999, ""tsetup"": 0.000483458, ""tsolve"": 0.012760541}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3266,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,tuff,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:12,0.012173175811767578,OPTIMAL,0.3109723730696374,0.31097237306963743,-5.551115123125783e-17,1.9453669726150462,6.669255093752224e-17,387,"{""solver_solve_time"": 0.007540415972471237, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 0.31097237306963743, ""solver_stats"": {""solve_time"": 0.007540415972471237, ""num_iters"": 387, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3262,cvxpy_osqp,unknown,NETLIB,tuff,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:10,0.29901909828186035,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3265,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,tuff,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:12,0.025947093963623047,OPTIMAL,0.31097237306963776,0.3109723730696373,4.440892098500626e-16,4.622979564909281,1.4828564908692273e-17,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 0.3109723730696373, ""solver_stats"": 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""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.00328525, ""tsetup"": 0.000237375, ""tsolve"": 0.003047875}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3275,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:20,0.0040988922119140625,OPTIMAL,-75629.80225019866,129831.46246136131,-205461.26471155998,0.757892767506327,1.192753385232705e-12,76,"{""solver_solve_time"": 0.0009567495435476303, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 129831.46246136131, ""solver_stats"": {""solve_time"": 0.0009567495435476303, ""num_iters"": 76, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3271,cvxpy_osqp,unknown,NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:17,0.07527899742126465,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3274,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:20,0.012531757354736328,OPTIMAL,0.0,129831.46246136131,-129831.46246136131,0.39001345757760447,6.14439980270747e-13,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 129831.46246136131, ""solver_stats"": {""solver_name"": 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0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 1.67580979e+02]"", ""info"": {""status_val"": 1, ""iter"": 92100, ""scale_updates"": 4, ""scale"": 0.03297138124364645, ""pobj"": -130116.65136183692, ""dobj"": -130115.99869713155, ""res_pri"": 3.5084393982562365, ""res_dual"": 0.8564436594212386, ""gap"": 0.6526647053752346, ""res_infeas"": NaN, ""res_unbdd_a"": 2.6963800263347833e-05, ""res_unbdd_p"": 0.0, ""comp_slack"": 1.0610014694415955e-08, ""solve_time"": 1410.166083, ""setup_time"": 0.406041, ""lin_sys_time"": 1138.7292530000725, ""cone_time"": 59.61221299997816, ""accel_time"": 37.39118300000346, ""rejected_accel_steps"": 778, ""accepted_accel_steps"": 613, ""status"": ""solved""}}}}, ""problem_class"": ""LP""}" +3273,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:19,0.03510570526123047,UNBOUNDED,,,,,,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""unbounded"", ""cvxpy_value"": Infinity, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3481,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:52:27,0.9183356666666667,OPTIMAL,129831.46246139954,129831.46246240982,1.010281266644597e-06,5.235926864042769e-13,3.3299726807622173e-11,36,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""optimal"", ""solve_time"": 0.9183356666666667, ""setup_time"": [], ""iterations"": 36, ""primal_objective_value"": 129831.46246139954, ""dual_objective_value"": 129831.46246240982, ""duality_gap"": 1.010281266644597e-06, ""primal_infeasibility"": 5.235926864042769e-13, ""dual_infeasibility"": 3.3299726807622173e-11, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:52:25"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": 0, ""iter"": 36, ""full_info"": {""dimacs"": [5.25785405420034e-13, 0, 1.8496008919538807e-10, 0, -3.8910625664786875e-12, 3.800859185908875e-12], ""termcode"": 0, ""iter"": 36, ""obj"": [129831.46246139955, 129831.46246240992], ""gap"": 9.869460142958136e-07, ""relgap"": 7.601689096711094e-12, ""pinfeas"": 5.25785405420034e-13, ""dinfeas"": 1.8496008919538807e-10, ""cputime"": 0.7980689999999839, ""time"": {""preproc"": 0.034212999999997606, ""pred"": 0.6268100000000025, ""pred_pstep"": 0.00992399999999094, ""pred_dstep"": 0.007923000000005231, ""corr"": 0.05172399999999655, ""corr_pstep"": 0.005344999999998379, ""corr_dstep"": 0.002994999999991421, ""pchol"": 0.015713999999992012, ""dchol"": 0.0053850000000217335, ""misc"": 0.04072999999999638}, ""resid"": [], ""reldist"": [], ""normX"": 106165.80170800816, ""normy"": 467169.7109239671, ""normZ"": 523500.2725076722, ""normA"": 162102.15415188583, ""normb"": 271094.42869446264, ""normC"": 2.6457513110645907, ""msg1"": ""Stop: max(relative gap,infeasibilities) < 1.00e-08"", ""msg2"": [], ""model"": 2}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": 0, ""iter"": 36, ""full_info"": {""dimacs"": [5.25785405420034e-13, 0, 1.8496008919538807e-10, 0, -3.8910625664786875e-12, 3.800859185908875e-12], ""termcode"": 0, ""iter"": 36, ""obj"": [129831.46246139955, 129831.46246240992], ""gap"": 9.869460142958136e-07, ""relgap"": 7.601689096711094e-12, ""pinfeas"": 5.25785405420034e-13, ""dinfeas"": 1.8496008919538807e-10, ""cputime"": 0.7980689999999839, ""time"": {""preproc"": 0.034212999999997606, ""pred"": 0.6268100000000025, ""pred_pstep"": 0.00992399999999094, ""pred_dstep"": 0.007923000000005231, ""corr"": 0.05172399999999655, ""corr_pstep"": 0.005344999999998379, ""corr_dstep"": 0.002994999999991421, ""pchol"": 0.015713999999992012, ""dchol"": 0.0053850000000217335, ""misc"": 0.04072999999999638}, ""resid"": [], ""reldist"": [], ""normX"": 106165.80170800816, ""normy"": 467169.7109239671, ""normZ"": 523500.2725076722, ""normA"": 162102.15415188583, ""normb"": 271094.42869446264, ""normC"": 2.6457513110645907, ""msg1"": ""Stop: max(relative gap,infeasibilities) < 1.00e-08"", ""msg2"": [], ""model"": 2}}, ""problem_class"": ""LP""}" +3480,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:52:22,0.3379940416666667,OPTIMAL,129831.44875251743,129831.4487988342,4.631676711142063e-05,1.688766249245461e-08,2.375877272697835e-14,43,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.3379940416666667, ""setup_time"": [], ""iterations"": 43, ""primal_objective_value"": 129831.44875251743, ""dual_objective_value"": 129831.4487988342, ""duality_gap"": 4.631676711142063e-05, ""primal_infeasibility"": 1.688766249245461e-08, ""dual_infeasibility"": 2.375877272697835e-14, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:52:19"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 43, ""feasratio"": 0.9997020841704858, ""full_info"": {""iter"": 43, ""feasratio"": 0.9997020841704858, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1e-08, ""timing"": [0.06178803741931915, 0.2549070864915848, 0.0032085925340652466], ""wallsec"": 0.3199037164449692, ""cpusec"": 0.9700000000000002}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 43, ""feasratio"": 0.9997020841704858, ""full_info"": {""iter"": 43, ""feasratio"": 0.9997020841704858, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1e-08, ""timing"": [0.06178803741931915, 0.2549070864915848, 0.0032085925340652466], ""wallsec"": 0.3199037164449692, ""cpusec"": 0.9700000000000002}}, ""problem_class"": ""LP""}" +3267,scipy_linprog,scipy-1.15.3,NETLIB,vtp_base,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:13,0.0029287338256835938,OPTIMAL,129831.46246136136,,,0.0,,26,"{""solver_solve_time"": 0.0029287338256835938, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 129831.46246136136, ""scipy_nit"": 26, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3277,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:22,0.11844611167907715,OPTIMAL,1.4429024115745313,1.4429024115742952,2.360334150353083e-13,1.0086618324004113e-09,1.6828891483741273e-12,19,"{""solver_solve_time"": 0.097755, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.4429024115742952, ""solver_stats"": {""solve_time"": 0.097755, ""num_iters"": 19, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3281,cvxpy_cvxopt,unknown,NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:27,0.13752007484436035,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3279,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:24,0.10070204734802246,OPTIMAL,1.4429024115772942,1.442902411576465,8.291145547900669e-13,3.65635066495196e-09,5.554425937580875e-12,18,"{""solver_solve_time"": 0.078622583, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.442902411576465, 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""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:26,1.5873661041259766,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3283,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:29,0.2325267791748047,OPTIMAL,0.0,1.4429024115734084,-1.4429024115734084,0.6239738610667707,7.460363297098918e-15,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.4429024115734084, ""solver_stats"": {""solver_name"": 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""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Relative gap < infeasibility"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:52:37"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -1, ""iter"": 39, ""full_info"": {""dimacs"": [4.392064568816685e-12, 0, 0.0003495395260301435, 0, 0.0005455261006861652, 0.0005603025199108635], ""termcode"": -1, ""iter"": 39, ""obj"": [1.444962692558618, 1.442841793736979], ""gap"": 0.0021783466505921833, ""relgap"": 0.0005603025199108635, ""pinfeas"": 3.798640109098857e-12, ""dinfeas"": 0.0003495395260301435, ""cputime"": 0.8997779999999977, ""time"": {""preproc"": 0.04899599999999538, ""pred"": 0.6913620000000193, ""pred_pstep"": 0.008420000000015193, ""pred_dstep"": 0.00991299999997608, ""corr"": 0.0559639999999888, ""corr_pstep"": 0.006039000000015449, ""corr_dstep"": 0.007797999999986871, ""pchol"": 0.014194999999986635, ""dchol"": 0.0051440000000155806, ""misc"": 0.053705000000007885}, ""resid"": [], ""reldist"": [], ""normX"": 1.7695729036746173, ""normy"": 1105019286.5648997, ""normZ"": 3664923287478.4727, ""normb"": 2.3124404748406686, ""maxb"": 2, ""normC"": 2, ""maxC"": 2, ""normA"": 60017.636276806705, ""msg1"": ""linsysolve: Schur complement matrix not positive definite"", ""msg2"": ""stop: relative gap < infeasibility"", ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -1, ""iter"": 39, ""full_info"": {""dimacs"": [4.392064568816685e-12, 0, 0.0003495395260301435, 0, 0.0005455261006861652, 0.0005603025199108635], ""termcode"": -1, ""iter"": 39, ""obj"": [1.444962692558618, 1.442841793736979], ""gap"": 0.0021783466505921833, ""relgap"": 0.0005603025199108635, ""pinfeas"": 3.798640109098857e-12, ""dinfeas"": 0.0003495395260301435, ""cputime"": 0.8997779999999977, ""time"": {""preproc"": 0.04899599999999538, ""pred"": 0.6913620000000193, ""pred_pstep"": 0.008420000000015193, ""pred_dstep"": 0.00991299999997608, ""corr"": 0.0559639999999888, ""corr_pstep"": 0.006039000000015449, ""corr_dstep"": 0.007797999999986871, ""pchol"": 0.014194999999986635, ""dchol"": 0.0051440000000155806, ""misc"": 0.053705000000007885}, ""resid"": [], ""reldist"": [], ""normX"": 1.7695729036746173, ""normy"": 1105019286.5648997, ""normZ"": 3664923287478.4727, ""normb"": 2.3124404748406686, ""maxb"": 2, ""normC"": 2, ""maxC"": 2, ""normA"": 60017.636276806705, ""msg1"": ""linsysolve: Schur complement matrix not positive definite"", ""msg2"": ""stop: relative gap < infeasibility"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3482,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:52:32,0.33840308333333335,OPTIMAL,1.4429024116067564,1.4429024115734168,3.33395533402836e-11,3.9714715061124844e-09,2.4976581831799855e-11,17,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.33840308333333335, ""setup_time"": [], ""iterations"": 17, ""primal_objective_value"": 1.4429024116067564, ""dual_objective_value"": 1.4429024115734168, ""duality_gap"": 3.33395533402836e-11, ""primal_infeasibility"": 3.9714715061124844e-09, ""dual_infeasibility"": 2.4976581831799855e-11, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:52:30"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 17, ""feasratio"": 1, ""full_info"": {""iter"": 17, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 4.569423288618106e-09, ""timing"": [0.06940215826034546, 0.24910345673561096, 0.00280626118183136], ""wallsec"": 0.3213118761777878, ""cpusec"": 1.1000000000000005}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 17, ""feasratio"": 1, ""full_info"": {""iter"": 17, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 4.569423288618106e-09, ""timing"": [0.06940215826034546, 0.24910345673561096, 0.00280626118183136], ""wallsec"": 0.3213118761777878, ""cpusec"": 1.1000000000000005}}, ""problem_class"": ""LP""}" +3276,scipy_linprog,scipy-1.15.3,NETLIB,wood1p,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:21,0.05797600746154785,OPTIMAL,1.4429024115734075,,,0.0,,249,"{""solver_solve_time"": 0.05797600746154785, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1.4429024115734075, ""scipy_nit"": 249, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" +3286,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:33,0.1478419303894043,OPTIMAL,1.3044763331010567,1.3044763330989166,2.1400659022674517e-12,5.7459523472539336e-09,1.6237271724089405e-11,28,"{""solver_solve_time"": 0.104893335, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.3044763330989166, ""solver_stats"": {""solve_time"": 0.104893335, ""num_iters"": 28, ""solver_name"": ""CLARABEL""}}, ""problem_class"": ""LP""}" +3290,cvxpy_cvxopt,unknown,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:22:40,37.15221667289734,ERROR,,,,,,,"{""error_message"": ""Solver 'CVXOPT' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3288,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:59,0.13390827178955078,OPTIMAL,1.304476333085859,1.304476333085653,2.0605739337042905e-13,5.506424786614325e-10,1.9252305918164003e-12,27,"{""solver_solve_time"": 0.086522375, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.304476333085653, ""solver_stats"": {""solve_time"": 0.086522375, ""setup_time"": 0.007273791, ""num_iters"": 27, ""solver_name"": ""ECOS"", ""extra_stats"": {""x"": ""[-0.55224999 -0.39110875 -0.84833556 ... 0.3723389 1.10683719\n 1.87796092]"", ""y"": ""[]"", ""z"": ""[1.89298143e-14 6.03016282e-14 2.84806783e-15 ... 3.77463107e-15\n 1.27119485e-15 7.49408281e-16]"", ""s"": ""[0.07432211 0.02329598 0.49205902 ... 0.3723389 1.10683719 1.87796092]"", ""info"": {""exitFlag"": 0, ""pcost"": -1.304476333085653, ""dcost"": -1.3044763330858589, ""pres"": 1.0003503730359844e-14, ""dres"": 1.0302418845355245e-13, ""pinf"": 0.0, ""dinf"": 0.0, ""pinfres"": NaN, ""dinfres"": 0.338658530267785, ""gap"": 6.817345804965624e-09, ""relgap"": 5.226116896149155e-09, ""r0"": 1e-08, ""iter"": 27, ""mi_iter"": -1, ""infostring"": ""Optimal solution found"", ""timing"": {""runtime"": 0.093796166, ""tsetup"": 0.007273791, ""tsolve"": 0.086522375}, ""numerr"": 0}}}}, ""problem_class"": ""LP""}" +3293,cvxpy_highs,cvxpy-1.6.5-HIGHS-1.11.0,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:22:45,0.15031099319458008,OPTIMAL,1.3044763330842295,1.3044763330842295,0.0,3.496126076567722e-14,1.9824826649222433e-16,1406,"{""solver_solve_time"": 0.09400779195129871, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.3044763330842295, ""solver_stats"": {""solve_time"": 0.09400779195129871, ""num_iters"": 1406, ""solver_name"": ""HIGHS"", ""extra_stats"": """"}}, ""problem_class"": ""LP""}" +3289,cvxpy_osqp,unknown,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:22:02,1.810049057006836,ERROR,,,,,,,"{""error_message"": ""Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information."", ""problem_class"": ""LP""}" +3292,cvxpy_scip,cvxpy-1.6.5-SCIP-5.5.0,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:22:43,0.30681300163269043,OPTIMAL,0.0,1.3044763330842293,-1.3044763330842293,48.74769235366084,5.20335333754562e-16,,"{""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal"", ""cvxpy_value"": 1.3044763330842293, ""solver_stats"": {""solver_name"": ""SCIP""}}, ""problem_class"": ""LP""}" +3287,cvxpy_scs,cvxpy-1.6.5-SCS-3.2.7.post2,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:57,23.676369190216064,OPTIMAL (INACCURATE),1.3065272892278705,1.3065284284107943,-1.1391829237705764e-06,2.625424121328264e-05,0.008779224090687026,100000,"{""solver_solve_time"": 23.620186541, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 1.3065284284107943, ""solver_stats"": {""solve_time"": 23.620186541, ""setup_time"": 0.012650208, ""num_iters"": 100000, ""solver_name"": ""SCS"", ""extra_stats"": {""x"": ""[ -0.56071034 -0.39218761 -25.02344419 ... 0.36481333 1.11669316\n 1.89285805]"", ""y"": ""[ 3.37872010e-22 0.00000000e+00 0.00000000e+00 ... -2.85050983e-19\n 0.00000000e+00 0.00000000e+00]"", ""s"": ""[ 0.07710824 0.02596714 24.67025347 ... 0.36481333 1.11669316\n 1.89285805]"", ""info"": {""status_val"": 2, ""iter"": 100000, ""scale_updates"": 2, ""scale"": 0.0056756558111594425, ""pobj"": -1.306528428410794, ""dobj"": -1.3065272892278703, ""res_pri"": 0.020425649441156997, ""res_dual"": 4.3158425964913504e-05, ""gap"": 1.1391829238382094e-06, ""res_infeas"": NaN, ""res_unbdd_a"": 0.7653896214539434, ""res_unbdd_p"": 0.0, ""comp_slack"": 5.160190095811111e-17, ""solve_time"": 23620.186541, ""setup_time"": 12.650208, ""lin_sys_time"": 19673.686871999773, ""cone_time"": 1314.1311330000044, ""accel_time"": 345.64353400011515, ""rejected_accel_steps"": 898, ""accepted_accel_steps"": 105, ""status"": ""solved (inaccurate - reached max_iters)""}}}}, ""problem_class"": ""LP""}" +3291,cvxpy_sdpa,cvxpy-1.6.5-SDPA-0.2.2,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:22:42,0.520439863204956,OPTIMAL (INACCURATE),1.3044765161279035,1.304476257296558,2.588313454676694e-07,2.542017664366333e-10,0.0,,"{""iteration_info_limitation"": ""SDPA does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""original_status"": {""cvxpy_status"": ""optimal_inaccurate"", ""cvxpy_value"": 1.304476257296558, ""solver_stats"": {""solver_name"": ""SDPA""}}, ""problem_class"": ""LP""}" +3485,matlab_sdpt3,SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:52:49,0.54528725,MAX_ITER,1.3052543141507689,1.304236915547027,0.001017398603741837,4.9544143918568074e-11,0.0,35,"{""matlab_output"": {""solver_name"": ""SDPT3"", ""status"": ""max_iter"", ""solve_time"": 0.54528725, ""setup_time"": [], ""iterations"": 35, ""primal_objective_value"": 1.3052543141507689, ""dual_objective_value"": 1.304236915547027, ""duality_gap"": 0.001017398603741837, ""primal_infeasibility"": 4.9544143918568074e-11, ""dual_infeasibility"": 0, ""solver_version"": ""SDPT3-4.0-20240410"", ""solver_options"": {}, ""termination_reason"": ""Relative gap < infeasibility"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:52:47"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""termcode"": -1, ""iter"": 35, ""full_info"": {""dimacs"": [6.550530385058028e-11, 0, 0.000356046358655608, 0, 0.0002818675926875762, 0.00030324665587334935], ""termcode"": -1, ""iter"": 35, ""obj"": [1.3052543141507689, 1.304236915547027], ""gap"": 0.0010945661448100402, ""relgap"": 0.00030324665587334935, ""pinfeas"": 4.9544143918568074e-11, ""dinfeas"": 0.00023736423910373865, ""cputime"": 0.4196329999999975, ""time"": {""preproc"": 0.04562899999999814, ""pred"": 0.2423920000000095, ""pred_pstep"": 0.008245999999985543, ""pred_dstep"": 0.010088000000010311, ""corr"": 0.03929399999998395, ""corr_pstep"": 0.006414000000020792, ""corr_dstep"": 0.008635999999988542, ""pchol"": 0.011526000000003478, ""dchol"": 0.004795000000001437, ""misc"": 0.04413099999999304}, ""resid"": [], ""reldist"": [], ""normX"": 1.2474773406061108, ""normy"": 1399513694585.779, ""normZ"": 4572511068942.807, ""normb"": 2.3402238618977056, ""maxb"": 1.77, ""normC"": 3, ""maxC"": 2, ""normA"": 107690.33618066367, ""msg1"": [], ""msg2"": ""stop: relative gap < infeasibility"", ""msg3"": [], ""model"": 1}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sdpt3"", ""execution_environment"": ""matlab"", ""original_status"": {""termcode"": -1, ""iter"": 35, ""full_info"": {""dimacs"": [6.550530385058028e-11, 0, 0.000356046358655608, 0, 0.0002818675926875762, 0.00030324665587334935], ""termcode"": -1, ""iter"": 35, ""obj"": [1.3052543141507689, 1.304236915547027], ""gap"": 0.0010945661448100402, ""relgap"": 0.00030324665587334935, ""pinfeas"": 4.9544143918568074e-11, ""dinfeas"": 0.00023736423910373865, ""cputime"": 0.4196329999999975, ""time"": {""preproc"": 0.04562899999999814, ""pred"": 0.2423920000000095, ""pred_pstep"": 0.008245999999985543, ""pred_dstep"": 0.010088000000010311, ""corr"": 0.03929399999998395, ""corr_pstep"": 0.006414000000020792, ""corr_dstep"": 0.008635999999988542, ""pchol"": 0.011526000000003478, ""dchol"": 0.004795000000001437, ""misc"": 0.04413099999999304}, ""resid"": [], ""reldist"": [], ""normX"": 1.2474773406061108, ""normy"": 1399513694585.779, ""normZ"": 4572511068942.807, ""normb"": 2.3402238618977056, ""maxb"": 1.77, ""normC"": 3, ""maxC"": 2, ""normA"": 107690.33618066367, ""msg1"": [], ""msg2"": ""stop: relative gap < infeasibility"", ""msg3"": [], ""model"": 1}}, ""problem_class"": ""LP""}" +3484,matlab_sedumi,SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)),NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""d073ec31c915c0a3602ffc386cee55ff783cc205""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770560.0}",d073ec31c915c0a3602ffc386cee55ff783cc205,2026-07-05T12:52:44,0.49230779166666666,OPTIMAL,1.3044763330841,1.3044763330842295,1.2945200467129325e-13,1.0097452666851742e-09,3.7185668831793363e-16,36,"{""matlab_output"": {""solver_name"": ""SeDuMi"", ""status"": ""optimal"", ""solve_time"": 0.49230779166666666, ""setup_time"": [], ""iterations"": 36, ""primal_objective_value"": 1.3044763330841, ""dual_objective_value"": 1.3044763330842295, ""duality_gap"": 1.2945200467129325e-13, ""primal_infeasibility"": 1.0097452666851742e-09, ""dual_infeasibility"": 3.7185668831793363e-16, ""solver_version"": ""SeDuMi-1.3.7"", ""solver_options"": {}, ""termination_reason"": ""Optimal solution found"", ""error_message"": """", ""timestamp"": ""2026-07-05 21:52:42"", ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 36, ""feasratio"": 1, ""full_info"": {""iter"": 36, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.335001537478772e-09, ""timing"": [0.074039027094841, 0.3955621272325516, 0.0031281262636184692], ""wallsec"": 0.47272928059101105, ""cpusec"": 1.71}}}, ""matlab_version"": ""24.1.0.2537033 (R2024a)"", ""solver_backend"": ""sedumi"", ""execution_environment"": ""matlab"", ""original_status"": {""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""iter"": 36, ""feasratio"": 1, ""full_info"": {""iter"": 36, ""feasratio"": 1, ""pinf"": 0, ""dinf"": 0, ""numerr"": 0, ""r0"": 1.335001537478772e-09, ""timing"": [0.074039027094841, 0.3955621272325516, 0.0031281262636184692], ""wallsec"": 0.47272928059101105, ""cpusec"": 1.71}}, ""problem_class"": ""LP""}" +3285,scipy_linprog,scipy-1.15.3,NETLIB,woodw,LP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.6.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""9e5db94f2e70e20901f7f549e6824ba6360a6370""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1770770432.0}",9e5db94f2e70e20901f7f549e6824ba6360a6370,2026-07-05T09:21:31,0.11318826675415039,OPTIMAL,1.3044763330842293,,,0.0,,835,"{""solver_solve_time"": 0.11318826675415039, ""original_status"": {""scipy_status"": 0, ""scipy_success"": true, ""scipy_message"": ""Optimization terminated successfully. (HiGHS Status 7: Optimal)"", ""scipy_fun"": 1.3044763330842293, ""scipy_nit"": 835, ""scipy_crossover_nit"": 0, ""scipy_mip_dual_bound"": 0.0, ""scipy_mip_gap"": 0.0, ""scipy_mip_node_count"": 0}, ""problem_class"": ""LP""}" 2084,cvxpy_clarabel,cvxpy-1.6.5-CLARABEL-0.11.0,SDPLIB,arch0,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-04T13:54:17,8.200895071029663,OPTIMAL,-0.5665172821147114,-0.5665172817725594,-3.421519734203571e-10,1.022967781834959e-07,0.0,22,"{""solver_solve_time"": 5.049194498, ""problem_class"": ""SDP""}" 2085,cvxpy_cvxopt,cvxpy-1.6.5-CVXOPT-1.3.2,SDPLIB,arch0,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""f95b7a823790a2de8d950f0b890edf003d50e81e""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1753515904.0}",f95b7a823790a2de8d950f0b890edf003d50e81e,2025-08-04T13:54:27,9.065042972564697,OPTIMAL,-0.5665172762101253,-0.5665172760832871,-1.2683820660441825e-10,2.9533438966925347e-08,4.1854682344393564e-13,,"{""iteration_info_limitation"": ""CVXOPT does not provide iteration count through CVXPY"", ""solver_solve_time"": null, ""problem_class"": ""SDP""}" 654,cvxpy_ecos,cvxpy-1.6.5-ECOS-2.0.14,SDPLIB,arch0,SDP,"{""cpu"": {""cpu_count"": 8, ""cpu_count_physical"": 8, ""processor"": ""arm"", ""architecture"": ""64bit""}, ""memory"": {""total_gb"": 24.0}, ""os"": {""system"": ""Darwin"", ""machine"": ""arm64"", ""release"": ""23.5.0""}, ""python"": {""implementation"": ""CPython"", ""version"": ""3.12.2"", ""version_info"": ""3.12.2""}, ""git"": {""commit_hash"": ""443b599dca6666ab5976e2cf184c9398d48cda2b""}, ""timezone"": {""timezone_name"": ""UTC"", ""utc_offset_hours"": 0.0}, ""timestamp"": 1752416768.0}",443b599dca6666ab5976e2cf184c9398d48cda2b,2025-07-16T10:17:22,,UNSUPPORTED,,,,,,,"{""reason"": ""Solver does not support SDP problems"", ""problem_type"": ""SDP"", ""problem_class"": ""SDP""}" diff --git a/docs/pages/data/benchmark_results_latest.json b/docs/pages/data/benchmark_results_latest.json index 602a9ca..391c847 100644 --- a/docs/pages/data/benchmark_results_latest.json +++ b/docs/pages/data/benchmark_results_latest.json @@ -1,42 +1,47 @@ { "metadata": { - "generated_at": "2025-08-06T01:09:44.010402", - "total_results": 1320, + "generated_at": "2026-07-05T23:24:15.896428", + "total_results": 2354, "export_format": "sanitized_benchmark_results", "version": "2.0", "full_environment_info": false, "data_scope": "latest" }, "summary": { - "total_results": 1320, + "total_results": 2354, "total_solvers": 11, - "total_problems": 120, - "success_rate": 0.48143236074270557, - "avg_solve_time": 28.630715541166914, - "successful_results": 363, + "total_problems": 214, + "success_rate": 0.6146532438478747, + "avg_solve_time": 13.205781654087826, + "successful_results": 1099, "unsupported_results": 566, - "applicable_results": 754, + "applicable_results": 1788, "problem_type_distribution": { "SDP": 1133, - "SOCP": 187 + "SOCP": 187, + "LP": 1001, + "UNKNOWN": 33 }, "library_distribution": { "DIMACS": 374, + "NETLIB": 1034, "SDPLIB": 946 }, "status_distribution": { "SIGKILL": 22, - "TIMEOUT": 108, + "TIMEOUT": 111, "UNSUPPORTED": 566, - "OPTIMAL": 363, + "OPTIMAL": 1099, "NUM_ERROR": 48, - "OPTIMAL (INACCURATE)": 92, - "ERROR": 57, - "INFEASIBLE": 9, - "MAX_ITER": 10, - "UNKNOWN": 32, + "OPTIMAL (INACCURATE)": 140, + "ERROR": 179, + "INFEASIBLE": 39, + "MAX_ITER": 27, + "STALLED": 14, + "UNKNOWN": 31, "UNBOUNDED (INACCURATE)": 1, - "SUBPROCESS_ERROR": 12 + "UNBOUNDED": 32, + "SUBPROCESS_ERROR": 45 }, "solver_names": [ "cvxpy_clarabel", @@ -52,11 +57,26 @@ "scipy_linprog" ], "problem_names": [ + "adlittle", + "afiro", + "agg", + "agg2", + "agg3", "arch0", "arch2", "arch4", "arch8", + "bandm", + "beaconfd", + "blend", "bm1", + "bnl1", + "bnl2", + "boeing1", + "boeing2", + "bore3d", + "brandy", + "capri", "control1", "control10", "control11", @@ -70,10 +90,28 @@ "control9", "copo14", "copo23", + "cycle", + "czprob", + "d2q06c", + "d6cube", + "degen2", + "degen3", + "dfl001", + "e226", "equalG11", "equalG51", + "etamacro", "fap09", + "fffff800", "filter48", + "finnis", + "fit1d", + "fit1p", + "fit2d", + "fit2p", + "forplan", + "ganges", + "gfrd_pnc", "gpp100", "gpp124-1", "gpp124-2", @@ -87,6 +125,11 @@ "gpp500-2", "gpp500-3", "gpp500-4", + "greenbea", + "greenbeb", + "grow15", + "grow22", + "grow7", "hamming_7_5_6", "hamming_8_3_4", "hamming_9_8", @@ -107,6 +150,11 @@ "hinf7", "hinf8", "hinf9", + "israel", + "kb2", + "lotfi", + "maros", + "maros_r7", "maxG11", "maxG32", "maxG51", @@ -124,13 +172,25 @@ "mcp500-3", "mcp500-4", "minphase", + "modszk1", "nb", "nb_L1", "nb_L2", "nb_L2_bessel", + "nesm", + "netlib_25fv47", + "netlib_80bau3b", + "netlib_truss", "nql180", "nql30", "nql60", + "perold", + "pilot", + "pilot4", + "pilot87", + "pilot_ja", + "pilot_we", + "pilotnov", "qap10", "qap5", "qap6", @@ -141,6 +201,16 @@ "qpG51", "qssp30", "qssp60", + "recipe", + "sc105", + "sc205", + "sc50a", + "sc50b", + "scagr25", + "scagr7", + "scfxm1", + "scfxm2", + "scfxm3", "sched_100_100_orig", "sched_100_100_scaled", "sched_100_50_orig", @@ -149,7 +219,32 @@ "sched_200_100_scaled", "sched_50_50_orig", "sched_50_50_scaled", + "scorpion", + "scrs8", + "scsd1", + "scsd6", + "scsd8", + "sctap1", + "sctap2", + "sctap3", + "seba", + "share1b", + "share2b", + "shell", + "ship04l", + "ship04s", + "ship08l", + "ship08s", + "ship12l", + "ship12s", + "sierra", "ss30", + "stair", + "standata", + "standgub", + "standmps", + "stocfor1", + "stocfor2", "theta1", "theta2", "theta3", @@ -171,130 +266,134 @@ "truss6", "truss7", "truss8", - "truss8_sdp" + "truss8_sdp", + "tuff", + "vtp_base", + "wood1p", + "woodw" ] }, "solver_comparison": [ { - "solver_name": "matlab_sdpt3", - "problems_attempted": 120, - "problems_applicable": 120, - "problems_solved": 73, - "problems_unsupported": 0, - "success_rate": 0.6083333333333333, - "avg_solve_time": 8.675550053672318, - "min_solve_time": 0.24263908333333334, - "max_solve_time": 300.0 + "solver_name": "scipy_linprog", + "problems_attempted": 214, + "problems_applicable": 94, + "problems_solved": 88, + "problems_unsupported": 120, + 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4.54514123e+02\n 1.50519784e+03 1.74770800e+03 1.32731844e+03 4.11013691e+02\n 4.71004800e+02 3.87025453e+02 1.22394482e+03 1.20480744e+03\n 1.83180061e+03 8.57013062e+01 1.32607362e+03 2.83925284e+03\n 1.00439342e+03 3.20437221e+02 4.45248625e+00 7.05298141e+02\n 7.98092410e+02 1.05060606e+03 2.05567174e+02 8.75216588e+02\n 1.43727418e+03 1.27740074e+03 7.37289880e+02 6.64471698e+02\n 6.31199859e+02 6.53900766e+02 1.85760072e+03 5.21014101e+02\n 6.36702852e+02 1.75346316e+03 1.03728727e+03 9.65740975e+02\n 1.04538337e+03 7.05909699e+02 3.66442652e+03 3.51052593e+03\n 1.53743037e-08 2.75531137e+03 1.87692400e+03 1.35567179e+03\n 2.22183000e+04 5.15690300e+02 5.92489999e+03 6.41464660e+03\n 2.56404264e+04 1.02552139e-06 1.06465380e+04 1.48120000e+03\n 3.52630189e+04 2.37122769e+04 1.02549547e-06 2.42332797e+03\n 1.31726508e+03 1.48817426e+03 1.25294475e+02 2.35258775e+01\n 1.29530066e-07 2.82459881e+02 5.30761063e+02 8.54600650e+02\n 7.42985668e+02 1.89205047e-06 5.93383712e+02 5.45395542e+02\n 4.33849488e+02 1.43287324e+03 1.66779259e+03 1.26712063e+03\n 3.91199679e+02 4.47996252e+02 3.70177593e+02 1.16541973e+03\n 1.14954055e+03 2.08846731e+03 7.22389660e+01 1.20610254e+03\n 2.68168515e+03 1.14646000e+03 2.94993591e+02 3.24320508e+02\n 6.64142828e+02 1.03205955e+03 1.04833067e+03 3.33715913e+02\n 1.02732363e+03 1.34967229e+03 1.38105454e+03 6.76913748e+02\n 6.69013260e+02 6.68025126e+02 6.55867304e+02 1.68497858e+03\n 5.55905720e+02 7.11352495e+02 1.62361368e+03 9.46966097e+02\n 8.62433129e+02 9.48389721e+02 6.26732189e+02 3.91485796e+03\n 3.28253332e+03 1.16338980e+03 3.42552026e+03 1.81440000e+03\n 1.32610602e+03 5.62000000e+04 2.45714000e+05 1.20160000e+06\n 7.80000000e+04 1.80000000e+05 1.39119900e+06 4.50000000e+05\n 9.82000000e+04 3.77143000e+05 1.42824000e+05 1.60000000e+04\n 1.98479900e+06 3.42000000e+04 1.55200000e+05 2.58000000e+05\n 2.41499900e+06 7.06000000e+05 1.03467131e-05 4.91404546e+05\n 2.75066000e+05 2.04000000e+04 2.23564675e+06 5.42000000e+04\n 1.14510000e+05 1.85977294e+05 3.56726200e+06 8.47928999e+05\n 1.34000000e+05 3.41780000e+05 2.85565000e+05 1.08965451e-06\n 2.35726363e+06 5.66975299e-05 1.48413000e+05 2.34018000e+05\n 2.94919100e+06 8.91592000e+05 2.66630769e+05 3.42776130e+05\n 4.69639000e+05 5.40000000e+03 2.51605219e+06 3.01940513e-06\n 2.20013000e+05 2.81616057e+05 4.22843885e+06 8.41068000e+05\n 8.47800628e-08 4.16876240e-08 1.57523106e-07 1.03214854e-07\n 1.30282416e-07 9.27658170e-08 1.25310382e-07 6.70354073e-08\n 2.15811843e-07 6.40220919e-08 1.45349013e-07 4.48567097e-07\n 1.11467462e-07 6.47372050e-07 4.02918758e-07 1.29882761e-06\n 5.37675009e-07 1.43109000e+05 2.34537213e+01 2.04421437e-06\n 8.82691672e-07 4.42478123e+01 2.26820094e-06 3.40564864e-05\n 3.77056504e+01 3.31892691e-05 1.06019305e-03 1.03113000e+05\n 9.68066884e-07 5.22236423e-06 1.37010000e+04 8.93668618e+01\n 4.41039999e+04 3.99084549e-06 3.34897471e-06 3.67474665e-06\n 3.33850585e-06 6.44862307e+04 1.46869636e+02 2.11265051e-06\n 1.37010000e+04 1.31810411e+02 5.01040000e+04 2.03578320e-04\n 4.04943036e+02 6.35501493e+04 5.85882517e-05]", + "s": "[6.47414931e+02 3.17603211e+02 6.91704170e+00 2.56504550e+01\n 5.93112001e-08 6.58611330e+02 6.56340517e+02 3.68288857e-10\n 2.45666472e+01 2.12346698e-01 1.17438200e+03 4.28562488e+02\n 8.84758292e-06 5.88037283e-10 5.80381186e-07 1.16003825e+03\n 2.18533901e+02 1.80622076e-05 1.60097823e-08 3.70888879e+01\n 6.87819154e+02 2.60332287e+01 4.88489295e-10 3.02434115e-09\n 6.05527865e+02 6.26960403e-09 7.07580674e-09 2.07562795e-08\n 5.98696865e+02 8.17337862e+01 3.36678692e-09 3.01769054e+01\n 4.32851261e+02 2.25200690e+02 3.61695895e-10 3.48511844e-10\n 3.76216294e-10 4.32851261e+02 2.25200690e+02 4.32937891e-10\n 4.17144829e-10 4.50313575e-10 5.72364789e+02 5.97094833e+01\n 2.71284688e-09 1.45550768e-08 5.72364789e+02 5.97094833e+01\n 2.33193799e-09 1.39512342e-08 5.16201555e+02 1.62954315e+02\n 1.99999126e-02 1.99999086e-02 8.55866185e-01 5.16181555e+02\n 1.62934315e+02 8.58697360e-10 3.41615262e-09 8.35866185e-01\n 4.70739380e+02 2.30882527e+02 1.32111022e-09 5.85015603e-09\n 5.85155085e-09 4.70739380e+02 2.30882527e+02 1.00188987e-09\n 5.59674916e-09 5.40465215e-09 4.90949122e+02 2.22241258e+02\n 1.25923041e-09 1.13407773e-10 2.59495354e+00 4.90969122e+02\n 2.22261258e+02 9.99980304e-03 9.98174928e-03 2.61495354e+00\n 4.60281489e+02 6.75937088e+01 4.49491533e+00 8.95475015e-11\n 1.52816191e-09 4.94190830e+02 2.78410590e+02 7.26601190e-10\n 3.95197554e-10 2.75402974e-10 4.63813044e+02 1.43831303e+02\n 1.99999251e-02 1.42903327e+00 5.11720803e-01 1.10374270e-07\n 4.67090119e-08 4.49855630e-08 4.85714849e-08 8.71587565e-07\n 6.92020528e-08 3.39584113e-07 3.66751355e-07 2.55758545e+02\n 9.37574749e+01 5.72595534e+01 8.56931275e-08 3.93825454e-08\n 2.71054671e-08 3.84857898e-08 4.01874224e-07 2.55758545e+02\n 2.51559086e-08 3.19200565e-08 5.44613925e-08 2.72448107e-07\n 3.55075778e-08 7.46444425e-09 4.01874224e-07 2.92540188e-07\n 1.17684892e-07 1.03462109e-07 8.84378638e-08 3.66110020e-07\n 6.36737863e-08 2.17337343e+02 8.07282844e-08 3.62545506e+02\n 8.95560713e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 1.00080000e+02 3.61937480e+02 9.43624038e+02 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.47256863e+02\n 1.63827435e+03 6.89001886e+01 1.12217681e+02 1.18958829e+02\n 1.00243302e+02 3.12868507e+02 1.26119941e+03 6.67197822e+01\n 1.13066470e+02 1.20290446e+02 1.00243302e+02 3.02391972e+02\n 1.07037688e+03 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 1.00080000e+02 3.63868331e+02 7.89283494e+02 1.00080000e+02\n 1.08439129e+02 1.78251982e+01 1.73975673e+02 3.56378560e-09\n 4.00914888e-08 1.33641232e-08 1.06913386e-08 2.91583497e-09\n 1.14550959e-08 7.28954263e-09 5.34568197e-08 2.09474614e-09\n 3.14211843e-09 1.37110280e-08 3.01641437e-08 5.02733329e-08\n 1.31974768e-08 1.58356904e-07 1.58356919e-07 1.58356919e-07\n 7.91799550e-08 8.61200998e-08 1.93641404e-07 1.55638679e-07\n 3.35733913e-08 1.17781544e-07 6.60088700e-08 2.83891982e-08\n 1.14062357e-07 6.98268891e-08 5.69435029e-08 4.83591581e-08\n 2.21313435e-08 5.90163981e-08 2.29098226e-08 3.22747981e-08\n 4.00925837e-09 4.51028740e-08 1.50346618e-08 1.20276969e-08\n 3.28030418e-09 1.28868278e-08 8.20075123e-09 6.01369471e-08\n 2.35658927e-09 3.53488292e-09 1.54249007e-08 3.39346323e-08\n 5.65574150e-08 1.48469843e-08 1.78150717e-07 1.78150590e-07\n 1.78150561e-07 8.90772411e-08 1.33383397e-07 1.00286134e-07\n 1.00049418e-07 2.22690457e-07 1.49608423e-07 1.48460193e-07\n 1.87632041e-07 5.75597176e-08 4.04907464e-08 6.38116064e-08\n 1.97944772e-07 1.78150950e-07 1.53299466e-07 7.02816149e-08\n 7.74643207e-08 4.21323798e-08 7.70809629e-07 7.11290436e-08\n 3.32074524e-08 7.88738625e-08 2.88235718e-07 2.96895768e-07\n 1.35234616e-07 8.50078658e-08 8.51434134e-08 2.46240505e-07\n 9.03733893e-08 6.63717427e-08 6.52112610e-08 1.28563052e-07\n 1.35650431e-07 1.36777321e-07 1.33796206e-07 5.13348260e-08\n 1.57731078e-07 1.21624333e-07 5.45378366e-08 8.81169298e-08\n 9.58087486e-08 8.78652760e-08 1.28521813e-07 2.15948283e-08\n 2.54510249e-08 6.78687153e-08 2.57739643e-08 4.94878212e-08\n 3.71159752e-08 4.61420011e-09 5.73824123e-08 4.88618567e-08\n 1.14383396e-08 3.08331885e-09 1.93357661e-08 7.89104244e-09\n 5.58808226e-08 2.19182760e-09 3.35054229e-09 2.31438199e-08\n 3.40903392e-08 5.33211001e-08 1.37063817e-08 1.64453999e-07\n 1.24381762e-06 3.61109756e+03 8.22303597e-08 1.46535929e-07\n 1.01541902e-07 1.05285628e-07 1.01774192e+04 1.47061534e-07\n 1.52545823e-07 2.06235898e-07 5.77759800e-08 5.25108426e-08\n 6.76087071e-08 2.12754300e-07 1.81323040e-07 2.26050525e-07\n 7.18748498e-08 7.65093675e-08 4.23546174e-08 8.22073510e-07\n 6.76758598e-08 3.27715888e-08 8.23054741e-08 2.71333133e-07\n 4.23315029e-07 1.36209195e-07 8.66541513e-08 9.04505346e-08\n 2.71774599e-07 9.30955298e-08 6.47379392e-08 6.32270138e-08\n 1.21279784e-07 1.38771718e-07 1.42413463e-07 1.39648102e-07\n 4.81568627e-08 1.62439939e-07 1.22861308e-07 5.05226279e-08\n 8.55652596e-08 9.14119671e-08 8.46958325e-08 1.25009247e-07\n 2.07194519e-08 2.43501024e-08 7.65871314e-08 2.59991019e-08\n 4.71312868e-08 3.73589793e-08 4.66465281e-09 3.78761519e-07\n 2.40616354e-08 1.26494798e+03 5.10745415e-09 1.95512972e+02\n 8.93055955e-09 6.19089721e-08 2.24748710e-09 3.58197529e-09\n 1.95512972e+02 4.39013346e-08 5.68444954e-08 1.53019300e-08\n 1.64457712e-07 1.20391859e-06 3.23181224e+02 8.87612722e-08\n 1.61304462e-07 9.55431521e-08 1.12743832e-07 7.38614928e+03\n 1.42441842e-07 1.50502746e-07 1.87686740e-07 5.83992798e-08\n 4.97077847e-08 6.48065134e-08 2.09800552e-07 1.84164824e-07\n 2.49011561e-07 7.15583365e-08 8.49692644e-08 5.02203119e-08\n 9.72788810e-07 6.65781285e-08 3.53520653e-08 1.11448376e-07\n 2.74910798e-07 1.86639716e+05 1.55456914e-07 1.04760653e-07\n 1.13521781e-07 3.84832249e-07 1.23004934e-07 7.02291201e-08\n 6.96734957e-08 1.19238293e-07 1.67570312e-07 1.85323289e-07\n 1.65097749e-07 4.84169557e-08 2.08075772e-07 1.44147076e-07\n 5.05547822e-08 8.31749323e-08 9.35285352e-08 8.38022155e-08\n 1.26521510e-07 2.44237706e-08 2.44046859e-08 6.75626744e+03\n 2.72411747e-08 4.55797695e-08 6.12124886e-08 4.53389292e-09\n 1.53326266e-07 1.33680860e-08 9.43756330e+02 4.38774364e-09\n 6.67637151e+01 7.54956284e-09 7.77988898e-08 2.22925479e-09\n 3.34001106e-09 6.67637150e+01 3.26083010e-08 5.91582872e-08\n 2.40860386e+02 1.66034266e-07 1.04746663e-06 9.93555974e+02\n 2.21121707e-07 1.53306647e-07 9.55115129e-08 1.09297130e-07\n 1.82692300e-05 1.37609960e-07 1.49305679e-07 1.88135338e-07\n 5.68128536e-08 4.89276144e-08 6.44260907e-08 2.08045128e-07\n 1.81550447e-07 2.20948569e-07 6.98675665e-08 7.09786697e-08\n 4.66856645e-08 9.97649835e-07 6.44851084e-08 3.01189168e-08\n 8.51461948e-08 2.66857373e-07 1.93386665e-05 1.21246098e-07\n 1.07153467e-07 8.13968142e-08 4.15988395e-07 9.77124762e-08\n 5.94983958e-08 6.69458894e-08 1.15981000e-07 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+ "solve_time": 0.071625, + "setup_time": 0.854625, + "lin_sys_time": 0.02075, + "cone_time": 0.001791, + "accel_time": 0.0, + "rejected_accel_steps": 0, + "accepted_accel_steps": 0, + "status": "unbounded" + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2526, + "solver_name": "cvxpy_sdpa", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "agg", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": 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1.85838521e+03 1.33967437e+03\n 4.04211067e+02 4.59307254e+02 4.72671028e+02 1.19075847e+03\n 1.11672551e+03 1.83781110e+03 1.04099987e+02 1.30437287e+03\n 2.64315091e+03 9.30908018e+02 3.17463344e+02 5.75837334e+01\n 6.34908660e+02 8.55204125e+02 9.41378705e+02 2.52285907e+02\n 8.12143924e+02 1.32827987e+03 1.26305631e+03 7.21795771e+02\n 5.98797923e+02 5.64046946e+02 6.08660592e+02 1.80285214e+03\n 4.89477782e+02 6.43166692e+02 1.69810919e+03 1.04872771e+03\n 9.53970069e+02 1.04787030e+03 7.10803435e+02 3.91291522e+03\n 3.40477799e+03 4.49400255e+02 3.18909607e+03 1.81109045e+03\n 8.91638975e+02 1.81642325e+04 1.37585361e+03 4.98067100e+03\n 4.45727844e+03 2.36253769e+04 3.90171252e+03 1.08944842e+04\n 1.16746904e+03 3.85050000e+04 2.57820795e+04 2.96450457e+03\n 2.55746692e+03 1.55600000e+03 6.23974600e+03 5.19978999e+02\n 3.84351428e+02 3.62042927e+02 1.03995800e+03 6.16704415e+02\n 9.18891138e+02 8.38022251e+02 2.05156052e+02 6.25785982e+02\n 5.97351413e+02 4.84905050e+02 1.54812862e+03 2.04081610e+03\n 1.39913479e+03 4.38586891e+02 4.91193874e+02 4.93982927e+02\n 1.26625249e+03 1.14517457e+03 1.91415830e+03 1.06815840e+02\n 1.30845605e+03 2.70359886e+03 9.92395144e+02 3.18067526e+02\n 1.09178939e+02 6.55351569e+02 8.99429743e+02 9.93161461e+02\n 2.75878158e+02 8.64307850e+02 1.35546479e+03 1.29500334e+03\n 7.23343714e+02 6.26267368e+02 5.97583059e+02 6.36486226e+02\n 1.80635505e+03 5.14754769e+02 6.68809034e+02 1.69806813e+03\n 1.05346530e+03 9.58364407e+02 1.05245060e+03 7.15221371e+02\n 4.05463003e+03 3.60240000e+03 7.06100000e+02 3.24395467e+03\n 1.89672009e+03 2.19928789e+03 2.02053626e+04 9.85169678e+02\n 5.70272987e+03 5.47677943e+03 2.57018087e+04 2.14505847e+03\n 1.13549379e+04 1.30721700e+03 3.99880000e+04 2.59293705e+04\n 1.34169820e+03 2.65968912e+03 1.61500000e+03 6.47973800e+03\n 5.39977999e+02 3.86536149e+02 3.61468574e+02 1.07995700e+03\n 6.13653513e+02 9.08033098e+02 8.36143781e+02 4.83474404e+01\n 6.25942438e+02 5.85508338e+02 4.71031921e+02 1.55165632e+03\n 1.91821756e+03 1.40325956e+03 4.22258757e+02 4.86955450e+02\n 5.19637991e+02 1.25960522e+03 1.17451227e+03 2.03804054e+03\n 1.10585808e+02 1.32279241e+03 2.74301992e+03 1.05744491e+03\n 3.30112190e+02 1.54138421e+02 6.65548491e+02 9.71913146e+02\n 1.00150520e+03 3.01791141e+02 9.24523647e+02 1.38862964e+03\n 1.37008352e+03 7.35908301e+02 6.41290297e+02 6.19787872e+02\n 6.41463592e+02 1.85555886e+03 5.43649136e+02 7.04808387e+02\n 1.76311558e+03 1.05360433e+03 9.81775491e+02 1.06249968e+03\n 7.22433633e+02 4.02461827e+03 3.60110000e+03 6.94400000e+02\n 3.46776911e+03 1.89901401e+03 1.52560535e+03 2.18578536e+04\n 1.32837651e+03 5.59043357e+03 5.09630285e+03 2.39979967e+04\n 3.84964883e+03 1.06393311e+04 1.48121900e+03 3.69830000e+04\n 2.43390722e+04 2.75570617e+03 2.45714185e+03 1.49200000e+03\n 1.99992000e+03 1.66659999e+02 2.35202323e+01 2.34658694e-09\n 3.33320000e+02 5.65710662e+02 8.66334650e+02 7.55587656e+02\n 3.79757842e-10 5.97567856e+02 5.45395542e+02 4.49617735e+02\n 1.43815019e+03 1.81989653e+03 1.33938150e+03 3.91199679e+02\n 4.47996251e+02 4.98132450e+02 1.17003088e+03 1.08365816e+03\n 1.88636733e+03 1.01788026e+02 1.20100890e+03 2.53274354e+03\n 9.78816114e+02 3.05515210e+02 1.42847978e+02 6.15688434e+02\n 8.99618345e+02 9.20230391e+02 2.64081662e+02 8.56146721e+02\n 1.28463620e+03 1.26870306e+03 6.75110332e+02 5.87947925e+02\n 5.65601831e+02 5.84884020e+02 1.67977873e+03 5.03034332e+02\n 6.38758470e+02 1.63251329e+03 9.63451011e+02 8.79325288e+02\n 9.65967571e+02 6.43822176e+02 3.84660409e+03 3.43440000e+03\n 6.40500000e+02 3.42399597e+03 1.81439900e+03 1.89520000e+03\n 8.43971903e-07 1.01752548e+02 1.43329153e-08 2.96321460e+05\n 1.40000000e+04 7.00000000e+03 1.44533828e-04 2.95553438e-04\n 1.14015805e-05 6.58910759e+04 3.05573715e+04 4.02138705e+04\n 1.44463407e+04 2.22716581e+04 6.96726409e-07 7.12564627e-07\n 2.37188304e-07 6.85465725e+02 2.12533709e-08 4.93302396e+02\n 4.00537403e-08 3.99043187e-08 3.26219197e-06 3.20818489e-06\n 5.08493652e-06 3.96724064e-08 3.96843263e-08 5.00273188e-06\n 4.99328768e-06 8.79851400e-06 7.35581385e-07 7.71889827e-07\n 7.18823987e-07 2.47047280e-07 2.06349208e+05 8.58008497e-08\n 4.76990097e-06 4.71960639e-06 3.44559469e-06 3.41643267e-06\n 4.20714118e-06 6.30745132e-06 6.29728946e-06 5.26679887e-06\n 5.26060858e-06 6.21959379e-06 3.98566122e-08 3.99476987e-08\n 5.31408848e-08 1.35564352e-08 5.92316980e-06 6.91372130e-07\n 2.58702388e-07 2.58995117e-07 2.28831720e-07 2.24225628e-07\n 4.40628481e-06 3.37170170e-07 3.36066943e-07 2.85044741e-07\n 2.83188088e-07 6.56564411e-06 2.89404287e+04 5.70940000e+02\n 1.43310724e-07 2.00000000e+03 3.19987994e-07 3.70508326e-08\n 1.33000000e+04 6.69998999e+03 1.04377487e-06 1.04354417e-06\n 2.36200651e-07 1.33300000e+05 6.66999300e+04 2.00000000e+05\n 1.00000000e+05 3.51733246e-07]", + "s": "[7.50320837e-11 5.39999996e-02 5.09999996e-02 4.89999996e-02\n 4.59999995e-02 1.46380382e-10 5.10347293e-11 2.68834068e-11\n 2.66177197e-11 9.42067267e-11 2.17074960e+00 5.38823098e-02\n 4.29999995e-02 4.10000006e-02 3.57658254e+01 1.33865651e-11\n 2.56173652e-11 4.80924371e-11 1.77153469e-09 3.39388827e+00\n 5.04386484e-11 1.96356255e-11 1.60007586e-11 1.60571671e-11\n 6.80226495e+01 8.20606737e-11 2.60585653e-10 2.57166089e-10\n 2.53192604e-10 1.14567789e-09 4.28177071e-10 5.51735415e-10\n 2.91613531e+01 3.64553247e-11 3.64555016e-12 2.25054219e-11\n 5.59903673e-12 1.06913206e-11 4.30054904e-11 3.00290541e-12\n 2.23855713e-11 5.06418920e-12 1.05520279e-11 4.67769790e-10\n 2.87347861e-10 3.02059226e-10 3.53057203e-10 4.64084437e-10\n 2.84031449e-10 2.98753885e-10 3.45690011e-10 8.89172277e+01\n 3.20649574e-11 7.86541819e-11 7.64565687e-11 3.41812017e-01\n 8.89352277e+01 1.79999982e-02 1.69999979e-02 1.59999979e-02\n 3.56812017e-01 8.89352277e+01 1.79999981e-02 1.69999978e-02\n 1.59999978e-02 3.46147027e-01 8.89172277e+01 6.21800672e-11\n 1.47659048e-10 1.41783712e-10 3.31147027e-01 1.89999988e-02\n 1.80000001e-02 1.69999982e-02 1.59999982e-02 1.49999980e-02\n 2.31271234e-09 2.81717515e-10 2.89490440e-10 2.85912642e-10\n 3.24228246e-10 1.89999993e-02 1.80000032e-02 1.69999987e-02\n 1.59999985e-02 1.49999982e-02 4.53476521e-09 8.10785032e-10\n 6.33552247e-10 6.05176251e-10 6.11800341e-10 5.74559766e-11\n 6.93186330e-11 6.93946385e-11 6.93546911e-11 6.81431991e-11\n 6.04748322e-11 7.23484454e-11 7.21175260e-11 7.22832052e-11\n 7.29760371e-11 1.28394787e-09 1.33886592e+01 5.19999988e-02\n 4.89999988e-02 1.28281202e+00 8.89722277e+01 8.81574678e-12\n 1.14046817e-11 1.12931416e-11 1.23681202e+00 8.89912277e+01\n 1.79999985e-02 1.79999981e-02 1.69999981e-02 1.25181202e+00\n 8.89912277e+01 1.79999983e-02 1.79999979e-02 1.69999979e-02\n 1.24114703e+00 3.80378730e-10 1.33886592e+01 5.19999986e-02\n 4.89999986e-02 1.27214703e+00 8.89722277e+01 1.82198521e-11\n 2.27207571e-11 2.22660395e-11 1.22614703e+00 1.13002305e-11\n 5.39999957e-02 5.19999990e-02 4.89999989e-02 8.23763835e-01\n 1.06011307e-01 4.73910418e-12 5.38751873e-12 5.71279542e-12\n 7.77763835e-01 1.25011307e-01 1.79999946e-02 1.69999980e-02\n 1.59999978e-02 7.92763835e-01 1.25011327e-01 1.79999897e-02\n 1.69999981e-02 1.59999979e-02 7.92763834e-01 2.08780439e-11\n 5.39999904e-02 5.19999988e-02 4.89999987e-02 8.23763834e-01\n 1.06011327e-01 9.66428167e-12 1.06237821e-11 1.13033921e-11\n 7.77763834e-01 1.28500953e-11 7.73434489e-12 1.09363633e-11\n 1.08976408e-11 1.07705414e-11 4.90323503e-11 9.62686825e-03\n 2.59999992e-02 2.39999990e-02 2.29999991e-02 6.64111258e-10\n 1.14249862e-09 7.67933437e-10 1.25279736e-09 7.59559215e-09\n 8.01470927e-09 8.30005071e-09 8.96140738e-09 2.72860001e-10\n 6.52750474e-10 1.79913620e-09 8.42852184e-08 1.27031537e-09\n 2.22317048e-09 3.10934475e-09 8.54411841e-08 5.70516239e+01\n 5.06890598e-10 3.65891874e-10 3.18418269e-10 3.53173725e-10\n 1.27031537e-09 2.03785707e-09 1.71189966e-09 2.30879612e-09\n 3.94450571e-10 3.33541751e-09 3.24467342e-09 4.43167059e-09\n 1.48331917e+01 1.43114400e+04 1.67012314e-09 1.89302585e-09\n 2.31121336e-09 1.27031537e-09 1.43114400e+04 4.29117760e-09\n 4.15194858e-09 5.21889474e-09 1.27031537e-09 6.09837064e-09\n 5.63828118e-09 7.21485379e-09 1.62462624e+01 5.52631727e-09\n 7.40488942e-10 8.88042472e-10 1.12763538e-09 1.27031537e-09\n 2.35162519e-09 2.18912820e-09 3.30673043e-09 4.09307486e-08\n 9.42631199e-09 1.77048300e-09 2.01782676e-09 2.61654845e-09\n 1.27031537e-09 3.41016221e-09 3.39349643e-09 4.71782927e-09\n 8.00177148e-08 2.40265545e-09 2.91245900e-09 2.78317460e-09\n 2.86080222e-09 1.55140051e-08 7.09106646e-09 1.03843414e-08\n 1.36822283e+02 1.00220159e-09 2.26983514e+02 2.63737330e-11\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 7.08034008e+02 3.03709185e-09 1.00080000e+02 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 9.33250175e+01 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 8.81486446e+01 1.12011355e+02\n 1.00318894e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 8.68218626e+01 1.13338137e+02 7.16846390e+02 3.27201564e-11\n 1.00080000e+02 1.00080000e+02 9.64508058e+01 1.03709194e+02\n 7.16846390e+02 4.89111759e-11 1.00080000e+02 1.00080000e+02\n 9.64600415e+01 1.03699958e+02 1.01209278e+02 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 9.63538568e+01 1.03806143e+02\n 1.01209278e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 9.63538568e+01 1.03806143e+02 1.00266302e+02 1.00205230e+02\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 1.11910411e+02 1.00080000e+02 1.00080000e+02 1.05342395e+02\n 2.48956799e+01 1.70001925e+02 4.98566645e-11 9.99336988e-10\n 1.68945320e-10 2.79319220e-10 4.38553892e-11 3.94564106e-10\n 9.06750147e-11 7.76799485e-10 2.61334410e-11 4.01580703e-11\n 1.79749485e-10 4.59754465e-10 6.26348924e-10 1.95284994e-10\n 5.47857651e-09 1.98297301e-09 1.97216058e-09 1.04580730e-09\n 1.10364729e-09 1.36806550e-08 2.13473848e-09 5.22252905e-10\n 2.04668652e-09 9.02000191e-10 5.26547668e-10 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9.41527982e-11\n 9.27591963e-11 3.34936351e-10 2.17074961e+00 5.38823086e-02\n 4.29999987e-02 4.10000031e-02 3.58084595e+01 4.63650159e-11\n 9.02039746e-11 1.66541514e-10 6.64753249e-09 3.43652240e+00\n 1.70938515e-10 6.83520330e-11 5.54391933e-11 5.58266619e-11\n 6.64325950e+01 2.95885333e-10 9.11099621e-10 9.26481219e-10\n 8.74002798e-10 2.28703794e-09 2.05127667e-09 1.91132042e-09\n 2.91784739e+01 1.26608033e-10 1.26675060e-11 7.80831501e-11\n 1.94717812e-11 3.70540775e-11 1.49920782e-10 1.04315268e-11\n 7.76445755e-11 1.76053332e-11 3.66561783e-11 1.62314388e-09\n 1.01187105e-09 1.05052426e-09 1.22484922e-09 1.61078380e-09\n 1.00035928e-09 1.03839966e-09 1.19955055e-09 2.70543677e-10\n 1.90341196e-10 2.91546421e-10 2.83024856e-10 1.51655002e-08\n 1.79999943e-02 1.79999942e-02 1.69999936e-02 1.59999937e-02\n 1.50000098e-02 1.79999947e-02 1.79999943e-02 1.69999941e-02\n 1.59999941e-02 1.50000149e-02 5.42863923e-10 3.79743345e-10\n 5.85320347e-10 5.70533416e-10 1.88178032e-08 1.89999994e-02\n 2.66825599e+00 1.69999938e-02 1.59999946e-02 1.49999943e-02\n 5.16021512e-09 2.65025599e+00 5.48179127e-10 1.07761434e-09\n 1.17084971e-09 1.90000118e-02 2.66825599e+00 1.69999948e-02\n 1.59999960e-02 1.49999951e-02 1.61314586e-08 2.65025599e+00\n 1.11920639e-09 2.24499933e-09 2.29141819e-09 2.02766578e-10\n 1.90380262e+01 1.22244828e-10 2.36827800e-10 2.35735080e-10\n 2.12927332e-10 1.90380262e+01 1.31498556e-10 2.48107876e-10\n 2.52696831e-10 1.45045488e+01 1.33886592e+01 5.19999953e-02\n 4.89999956e-02 9.41000013e-01 5.73822506e-11 6.38446146e-11\n 4.02040212e-11 3.93639627e-11 8.95000013e-01 1.89999947e-02\n 1.79999942e-02 1.79999932e-02 1.69999932e-02 9.10000013e-01\n 1.89999945e-02 1.79999941e-02 1.79999929e-02 1.69999929e-02\n 9.10000017e-01 1.45045488e+01 1.33886592e+01 5.19999950e-02\n 4.89999952e-02 9.41000017e-01 1.13832784e-10 1.26652169e-10\n 8.00822351e-11 7.73635794e-11 8.95000017e-01 1.45034368e+01\n 1.32762799e+00 5.19999916e-02 4.89999955e-02 8.74182950e-01\n 2.84918373e-11 2.75525598e+00 1.04920087e-11 1.96288773e-11\n 8.28182950e-01 1.89999950e-02 2.77325598e+00 1.69999827e-02\n 1.59999923e-02 8.43182950e-01 1.89999946e-02 2.77325599e+00\n 1.69999917e-02 1.59999926e-02 8.43182947e-01 1.45034368e+01\n 1.32762799e+00 5.19999951e-02 4.89999952e-02 8.74182947e-01\n 5.66327795e-11 2.75525599e+00 2.00107619e-11 3.96345048e-11\n 8.28182947e-01 5.29988344e-11 1.91240262e+01 1.76749721e-11\n 2.31573288e-11 3.72549805e-11 1.50704457e+01 1.33010101e+01\n 2.59999980e-02 2.39999955e-02 2.29999964e-02 2.30744533e-09\n 3.97855592e-09 2.67388698e-09 4.35189230e-09 2.66184035e-08\n 2.77933131e-08 2.87737870e-08 3.10615862e-08 5.96610898e-09\n 1.09067833e-08 2.99376744e-07 5.63000107e+01 9.53761267e-10\n 2.50466063e-09 6.11209460e-09 2.95212599e-07 4.37659353e-09\n 4.93507820e-09 6.17700730e-09 6.35578708e-09 1.38098891e-09\n 1.76823721e-09 1.38386913e-09 1.10166975e-09 1.28676622e-09\n 4.37659353e-09 1.62997876e-08 1.62578514e-08 1.63857404e-08\n 6.01219873e+01 1.09786635e-08 6.01310786e-09 8.94294979e-09\n 1.27430577e-07 1.43114400e+04 1.21988972e-08 1.09718774e-08\n 1.09994969e-08 4.37659353e-09 1.24264716e-08 7.12154279e-09\n 1.42208911e-09 3.70421594e-09 4.37659353e-09 3.06333097e-08\n 2.95203953e-08 2.95399988e-08 6.01219868e+01 1.96442527e-08\n 7.94102745e-09 1.37788016e-08 2.46446668e-07 1.43114400e+04\n 2.56561104e-08 2.35060256e-08 2.36152328e-08 4.37659353e-09\n 2.47282277e-08 1.53216165e-08 3.23707372e-09 8.49479038e-09\n 4.37659353e-09 1.23227703e-08 5.42268987e-09 7.48685298e-09\n 9.90590122e-09 1.21765007e-07 3.23941086e-08 3.59031572e-08\n 1.35270329e+02 3.46780637e-09 2.26983514e+02 9.17750372e-11\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 7.08034008e+02 1.12093075e-08 1.00080000e+02 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 9.33250174e+01 1.00080000e+02\n 1.00080000e+02 1.00080000e+02 8.81311652e+01 1.12028835e+02\n 1.00318894e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 8.68218626e+01 1.13338137e+02 3.76028608e-11 3.31273987e-10\n 1.00080000e+02 1.00080000e+02 9.67468110e+01 1.03413189e+02\n 4.61705688e-11 1.11199994e+02 1.00080000e+02 1.00080000e+02\n 9.63101945e+01 1.03849806e+02 7.50097319e-11 6.48908714e-10\n 1.00080000e+02 1.00080000e+02 9.67468110e+01 1.03413189e+02\n 9.23027545e-11 1.11199994e+02 1.00080000e+02 1.00080000e+02\n 9.63101945e+01 1.03849806e+02 4.96864290e-11 1.42248357e+02\n 1.00080000e+02 1.00080000e+02 1.00080000e+02 1.00080000e+02\n 2.19092478e-09 1.00080000e+02 1.00080000e+02 1.05282705e+02\n 2.50092277e+01 1.69948067e+02 1.76641385e-10 3.47631764e-09\n 5.87299943e-10 9.72283464e-10 1.52801624e-10 1.37233511e-09\n 3.16558072e-10 2.80435750e-09 9.08076878e-11 1.39692504e-10\n 6.25619671e-10 1.59896445e-09 2.17336245e-09 6.60577212e-10\n 1.93115473e-08 6.86557828e-09 6.82951478e-09 3.56552617e-09\n 3.73312523e-09 8.21632432e-09 6.97678151e-09 1.56832948e-09\n 6.52532798e-09 3.10541353e-09 1.80055044e-09 2.67911027e-09\n 1.32677415e-09 3.54831760e-09 2.77046063e-08 5.47627862e-09\n 3.74603165e-09 3.63638006e-09 1.16845389e-08 4.10459623e-09\n 2.63332821e-09 2.68813770e-09 4.82953812e-09 5.74432857e-09\n 6.02190623e-09 5.59015739e-09 1.94317734e-09 6.73610907e-09\n 5.12597129e-09 2.06357682e-09 3.28642363e-09 3.59821352e-09\n 3.28571405e-09 4.78957166e-09 8.24906672e-10 9.75383770e-10\n 5.34250227e-09 1.06409338e-09 1.75127970e-09 1.96304999e-10\n 3.67366804e-09 7.02324961e-10 1.71978806e-09 1.90025880e-10\n 1.78085471e-09 3.64476776e-10 2.98347994e-09 1.02817758e-10\n 1.58501242e-10 2.25849923e-09 1.52653116e-09 2.47578933e-09\n 6.59897746e-10 1.24317085e-08 5.10227066e-08 1.03644211e+00\n 3.78670479e-09 6.33403630e-09 4.41250855e-09 4.56562588e-09\n 3.24199947e-08 6.36174130e-09 6.63239176e-09 8.49774321e-09\n 2.51842099e-09 2.11541382e-09 2.94263813e-09 9.10405896e-09\n 7.89565426e-09 8.59290779e-09 3.10054933e-09 3.45713112e-09\n 2.06895292e-09 3.24960982e-08 3.01943014e-09 1.47388460e-09\n 3.99534221e-09 1.21552158e-08 4.26047399e-08 6.04151084e-09\n 4.39981436e-09 4.01063520e-09 1.42843692e-08 4.62866671e-09\n 2.92496549e-09 3.06954112e-09 5.43837382e-09 6.34146951e-09\n 6.66289067e-09 6.22313084e-09 2.18779865e-09 7.58868553e-09\n 5.89323482e-09 2.32564581e-09 3.73128712e-09 4.06651529e-09\n 3.72485949e-09 5.43553525e-09 9.60983990e-10 1.11290994e-09\n 4.58191180e-09 1.22334949e-09 2.11500866e-09 1.83812909e-09\n 1.79255321e-10 8.30900534e-09 7.09038100e-10 1.04523218e-09\n 1.63837472e-10 1.58974355e+01 3.37807616e-10 2.65663428e-09\n 9.52535628e-11 1.49158100e-10 1.58974355e+01 1.40904977e-09\n 2.32145169e-09 5.90460546e-10 7.04399357e-09 9.96587647e-09\n 1.08450411e-08 3.50058847e-09 6.41788450e-09 4.17452286e-09\n 4.69010623e-09 5.06830748e-08 6.06761411e-09 6.51414730e-09\n 7.92605537e-09 2.49959811e-09 1.98235564e-09 2.72379221e-09\n 8.98268138e-09 7.89663514e-09 7.66687433e-09 3.06448160e-09\n 3.34013232e-09 1.96370562e-09 3.45234618e-08 2.79080675e-09\n 1.41483274e-09 3.96452797e-09 1.14318811e-08 4.33253705e-08\n 5.93404820e-09 4.09492628e-09 4.05037068e-09 1.32901619e-08\n 4.48886837e-09 2.80728435e-09 2.84614135e-09 5.02411217e-09\n 6.20562560e-09 6.58057705e-09 6.10777924e-09 2.02302575e-09\n 7.55333475e-09 5.54993934e-09 2.15407570e-09 3.48502298e-09\n 3.80553639e-09 3.48153564e-09 5.10954995e-09 9.36262097e-10\n 1.04313684e-09 3.27778946e-09 1.08519317e-09 2.01507868e-09\n 4.07474038e-09 2.24830656e-10 2.64843458e-09 7.35692752e-10\n 8.25444364e-10 1.57389443e-10 9.39004954e-10 3.41819376e-10\n 3.67671505e-09 9.83132465e-11 1.43666360e-10 1.23420008e-09\n 1.47890971e-09 2.50100080e-09 5.94911946e-10 7.09800745e-09\n 9.40655011e-09 9.99881182e-09 3.51179223e-09 5.94068399e-09\n 3.97012345e-09 4.39060180e-09 2.23338014e-08 5.79040695e-09\n 6.12231361e-09 7.53052881e-09 2.36997804e-09 1.82903620e-09\n 2.61604236e-09 8.35945371e-09 7.43557678e-09 7.37388081e-09\n 2.89707145e-09 3.18493663e-09 1.97489450e-09 3.82613773e-08\n 2.78375356e-09 1.35213806e-09 3.77691638e-09 1.14665532e-08\n 5.21195858e-08 5.51534412e-09 4.26079533e-09 3.67994671e-09\n 1.44018950e-08 4.31155025e-09 2.68428499e-09 2.86586902e-09\n 5.01475562e-09 5.81273408e-09 6.12852210e-09 5.74694530e-09\n 2.02050194e-09 7.23587949e-09 5.59578619e-09 2.15037824e-09\n 3.47303578e-09 3.82769353e-09 3.48013293e-09 5.12906029e-09\n 9.03958276e-10 1.04594808e-09 4.48000007e+01 1.17223070e-09\n 1.92410630e-09 1.66238341e-09 1.81839966e-10 3.68432216e-09\n 6.43942340e-10 6.70904374e-10 1.43531233e-10 1.69492384e-09\n 3.24170950e-10 2.77418831e-09 9.31811752e-11 1.42169324e-10\n 2.69835964e-09 1.37722561e-09 2.31221003e-09 5.73651181e-10\n 6.78134792e-09 9.41042525e-09 1.00912408e-08 3.38395317e-09\n 5.97660262e-09 4.00414834e-09 4.40367630e-09 9.76941148e-08\n 5.78899747e-09 6.22277757e-09 7.68278447e-09 2.36710435e-09\n 1.91961549e-09 2.60147818e-09 8.61926950e-09 7.49080155e-09\n 7.02370572e-09 2.91077211e-09 3.08492853e-09 1.78107243e-09\n 3.37323522e-08 2.74052752e-09 1.32345406e-09 3.42115716e-09\n 1.09581445e-08 2.24338330e-08 5.42694509e-09 3.71328818e-09\n 3.60229239e-09 1.18181500e-08 3.89884583e-09 2.61191094e-09\n 2.64425110e-09 4.91459781e-09 5.61888077e-09 5.80935743e-09\n 5.61180398e-09 1.96243059e-09 6.66115046e-09 5.11695814e-09\n 2.06972125e-09 3.43608569e-09 3.70374456e-09 3.41365014e-09\n 5.01555532e-09 9.10897303e-10 1.02891449e-09 8.61252986e-09\n 1.05673261e-09 1.92243975e-09 2.38551961e-09 1.68983161e-10\n 2.74412155e-09 6.57355945e-10 7.19577130e-10 1.53709225e-10\n 9.53690892e-10 3.46184152e-10 2.46326776e-09 9.98248360e-11\n 1.51500479e-10 1.33446358e-09 1.48962213e-09 2.44474208e-09\n 1.86420478e-09 2.20301343e-08 1.54114714e-07 4.60073095e+02\n 1.08621945e-08 6.41092245e-09 4.19431831e-09 4.81300337e-09\n 3.81618519e+03 6.06181778e-09 6.64397841e-09 8.04578434e-09\n 2.53789695e-09 2.01506655e-09 2.72194931e-09 9.24222806e-09\n 8.07690129e-09 7.27047606e-09 3.11512305e-09 3.34248968e-09\n 1.92867479e-09 3.53886182e-08 3.00761729e-09 1.43331127e-09\n 3.71251833e-09 1.18028752e-08 2.64623041e-08 5.86737236e-09\n 4.03604135e-09 3.92632327e-09 1.36756848e-08 4.24284556e-09\n 2.82308354e-09 2.86339412e-09 5.34732259e-09 6.14008932e-09\n 6.38918752e-09 6.15723877e-09 2.15810099e-09 7.20345099e-09\n 5.65390334e-09 2.23424702e-09 3.74406237e-09 4.10129430e-09\n 3.73607396e-09 5.57776004e-09 9.52835465e-10 1.06664592e-09\n 5.69882588e-09 1.07087408e-09 2.01154358e-09 1.92766993e-09\n 1.24754192e+00 3.79777550e-08 7.00637871e+01 1.24716728e-11\n 1.18029157e+02 1.18029157e+02 1.66942822e+01 1.66942822e+01\n 1.76000000e-01 1.17974157e+02 1.17974157e+02 1.64792822e+01\n 1.64792822e+01 6.38168567e-11 1.49600000e+00 1.52000000e+00\n 4.41839900e+00 4.16787944e+01 5.01143928e+01 1.02834137e-08\n 2.68973184e+01 2.68973184e+01 9.92317926e-10 1.92318682e-09\n 1.22362459e-10 2.68433184e+01 2.68433184e+01 1.90707524e-11\n 3.79323218e-11 2.08714087e-11 1.42100000e+00 1.44299998e+00\n 1.45400000e+00 4.18300000e+00 1.83483235e-11 1.28039640e+01\n 2.16000000e-01 2.16000000e-01 2.96999999e-01 2.96999999e-01\n 8.09999965e-02 1.65999999e-01 1.65999999e-01 1.97999996e-01\n 1.98000000e-01 5.74811941e-11 2.66560000e+01 2.70790000e+01\n 1.99955574e+01 7.84820000e+01 1.76000001e-01 1.51000000e+00\n 4.05400000e+00 4.05400000e+00 4.63518295e+00 4.63518295e+00\n 2.03847999e-01 3.11200000e+00 3.11200000e+00 3.71299999e+00\n 3.71300000e+00 1.25847998e-01 1.30241167e-10 6.28455546e-09\n 7.28644258e+00 1.83787530e-09 3.30100000e+00 2.83230000e+01\n 2.82598308e-10 5.90886859e-10 9.37817050e-01 9.37817052e-01\n 4.43500000e+00 2.86544972e-11 5.92988442e-11 1.95860570e-11\n 3.90471595e-11 2.98500000e+00]", + "info": { + "exitFlag": 0, + "pcost": -10312115.933810076, + "dcost": -10312115.935347669, + "pres": 8.573152651867906e-13, + "dres": 7.186332349951038e-13, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": NaN, + "dinfres": 0.4153989365825483, + "gap": 0.025469779890396713, + "relgap": 2.469888823387796e-09, + "r0": 1e-08, + "iter": 20, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.017583999, + "tsetup": 0.000620583, + "tsolve": 0.016963416 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2546, + "solver_name": "cvxpy_highs", + "solver_version": "cvxpy-1.6.5-HIGHS-1.11.0", + "problem_library": "NETLIB", + "problem_name": "agg3", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 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"namespace(x=array([-2.40000000e+00, -2.90000000e+00, -4.11323856e-03, -7.92556674e-07,\n -2.07000000e-03, -7.05000000e+00, -1.30000000e-03, -6.39000000e-03,\n -3.62000000e-03, -2.50000000e+00, 4.58737041e-21, -1.82000000e+00,\n -3.06000000e+00, -5.66000000e+00, -2.55000000e+00, -2.48000000e+00,\n -3.60000000e-01, -2.57000000e+00, -3.19999895e-04, 2.20799539e-02,\n -2.89000000e+00, -2.75000000e+00, -4.87573182e-20, 0.00000000e+00,\n -3.40000000e+00, -1.70100000e+01, -3.80000000e-04, -8.63000000e+00,\n -2.16000000e+00, -2.88000000e+00, -5.27000000e+00, -2.85000000e+00,\n 8.63935930e-07, -3.59000000e+00, -5.34000000e+00, 0.00000000e+00,\n -5.45000000e+00, -5.40000000e+00, -2.11000121e-03, -2.63000000e+00,\n 6.53880922e-07, -9.30000000e-04, -1.54000000e+00, 7.73829394e-07,\n -2.83000000e+00, 4.12112722e-06, -6.40000000e-03, 8.81530252e-09,\n -3.63000000e+00, 7.05224201e-09, -1.77500000e+01, -4.73000000e+00,\n -8.20000000e-01, -1.68000000e+00, -1.01000000e-03, -1.63500000e+01,\n -5.39000000e+00, 0.00000000e+00, -2.59000000e+00, 3.86681303e-08,\n -4.65000000e+00, -1.29999997e-03, -9.40000025e-04, -1.00000002e-03,\n -4.80000001e-04, -2.90000010e-04, -1.85999123e-03, -8.22000000e+00,\n -1.88000002e-03, -5.39999948e-04, 3.05996940e+00, 2.89000000e+00,\n 2.82997170e+00, 5.38994610e+00, -5.43301130e+00, 3.09117100e+00,\n 2.85986403e+00, 3.18933500e+00, 3.20276204e+00, 3.36872301e+00,\n 3.49757104e+00, -2.22463752e+00, 3.89675480e+00, 3.33382123e+00,\n -3.47984283e-01, 2.26489233e-01, 4.50480990e+00, 4.51278234e+00,\n 4.10457999e+00, 3.89696699e+00, 9.87996086e-01, 2.28986862e+00,\n 2.39731349e+00, 3.14663452e+00, 3.49617622e+00, -2.95006525e+00,\n 5.55909204e+00, 4.63776292e+00, 4.58120402e+00, 2.35497573e+00,\n 2.79512205e+00, 4.35550290e+00, 3.72726698e+00, 3.53183099e+00,\n -1.75628797e+01, -9.13121864e-02, 5.19898040e+00, -4.15254343e+00,\n 3.14185573e+00, 2.82556397e+00, 3.17020988e+00, 2.98567604e+00,\n 6.05069102e+00, 2.89932004e+00, 2.77913505e+00, 2.90099206e+00,\n 2.77111706e+00, 2.82812106e+00, 2.63594166e+00, 2.60207487e+00,\n 2.57031205e+00, 3.32772760e+00, 2.50054804e+00, 2.26426762e+00,\n 2.44420038e+00, 8.30748935e-01, 2.20279530e+00, 3.14668100e+00,\n 4.30719205e+00, 2.89240510e+00, 2.78924400e+00, 2.68362600e+00,\n 4.75437653e+00, 2.65122599e+00, 2.40874788e+00, 5.03495200e+00,\n 2.16087273e+00, 2.73067759e+00, 4.12035030e+00, 3.29180966e+00,\n 7.67426755e-11, 9.16926007e-13, -2.38977209e-13, -1.32740605e-10,\n 9.07260969e-20, 4.21052825e-17, -3.65621565e-11, 9.73948796e-12,\n 4.03075394e-11, -2.35417536e-10, -3.24137066e-11, -5.47956927e-12,\n 1.82586471e-10, -9.76653117e-19, -2.77156372e-11, -7.07740592e-18,\n 1.31679473e-11, -5.43482450e-15, -1.32095429e-10, 9.81114680e-12,\n 8.12541576e-11, 1.32928565e-11, 2.08292166e-12, 8.80612416e-11,\n -7.53261030e-17, 9.89493272e-13, 1.12447600e-11, -3.85003563e-19,\n -8.91098010e-13, -1.72780301e-18, 3.08739935e-11, 3.48413337e-11,\n -1.58987275e-12]), y=array([ 3.93998999e+00, 0.00000000e+00, 8.85224997e+01, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.13500000e+00, 7.15325000e+01,\n 2.64547367e+02, 1.44320000e+02, 1.08840000e+01, 1.26225000e+02,\n 4.60417505e+02, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 2.11050000e+01, 0.00000000e+00, 1.09800048e+01, 0.00000000e+00,\n 5.95974987e+01, 0.00000000e+00, 2.54387495e+02, 0.00000000e+00,\n 2.00128730e+02, 0.00000000e+00, 1.83043501e+02, 3.58480004e+02,\n 0.00000000e+00, 2.19022761e+03, 0.00000000e+00, 1.25484970e+03,\n 0.00000000e+00, 9.05124387e+02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.27582504e+02, 0.00000000e+00,\n 1.39110000e+01, 0.00000000e+00, 3.99520000e+02, 8.52800018e+01,\n 0.00000000e+00, 1.56350000e+01, 0.00000000e+00, 2.47488522e+02,\n 0.00000000e+00, 1.06552502e+02, 0.00000000e+00, 4.77971995e+02,\n 0.00000000e+00, 0.00000000e+00, 3.31448996e+01, 1.73814983e+01,\n 0.00000000e+00, 0.00000000e+00, 6.29999924e-01, 3.70939998e+02,\n 0.00000000e+00, 7.67001979e+02, 2.44349538e+03, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.25304000e+02, 3.28695000e+02,\n 0.00000000e+00, 0.00000000e+00, 2.57524997e+02, 1.00203013e+03,\n 0.00000000e+00, 0.00000000e+00, 1.03500000e+01, 0.00000000e+00,\n 7.25500056e+00, 0.00000000e+00, 0.00000000e+00, 4.00800000e-01,\n 7.50000000e-02, 1.11999999e+03, 0.00000000e+00, 6.40000001e+02,\n 6.00566247e-18, -2.23743243e-17, -1.26665196e-17, 5.59999984e+01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 4.00000000e+01, 6.55220430e-19, 7.34735007e+01, 7.90500004e+01,\n 1.11957300e+03, 6.90000000e-01, 0.00000000e+00, 1.22275749e+03,\n 0.00000000e+00, 0.00000000e+00, 8.12249606e+00, 0.00000000e+00,\n 0.00000000e+00, 2.11350002e+01, 0.00000000e+00, 3.63199979e+01,\n 8.43147000e+02, 8.87740500e+02, 2.04299998e+00, 1.43436700e+03,\n 2.12378888e+02, 7.50000000e-01, 1.80127000e+02, 9.76309988e+01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -6.55333900e-17,\n 0.00000000e+00, 5.99999999e+02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.19999997e+02, -6.55333900e-17, -1.62039516e-16,\n 2.00000077e+01, -2.26062621e-17, 0.00000000e+00, 2.58542327e-17,\n 3.40253688e-17, 3.60000003e+02, 2.01705489e-17, 7.45579525e-32,\n -2.32082601e-17, 4.00000468e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.84901388e-16, 0.00000000e+00,\n 0.00000000e+00, -3.05393896e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 9.99999997e+02,\n 1.92000000e+02, 6.50000012e+01, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 4.49999770e+01, -3.36018119e-18, 4.50000190e+01,\n 0.00000000e+00, 2.15000015e+02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.40000001e+02, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.57494001e-15, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 3.86793988e-17, 0.00000000e+00,\n 1.59999960e+02, 1.44891042e-16, -1.44891042e-16, 2.40000723e+01,\n -3.13836747e-16, 0.00000000e+00, 5.00000000e+00, 0.00000000e+00,\n 6.00000936e+01, 0.00000000e+00, 1.89300014e+03, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.25835288e-18, 0.00000000e+00,\n 1.65000144e+02, 3.93323077e-17, 0.00000000e+00, 0.00000000e+00,\n 4.10000144e+02, 0.00000000e+00, -1.75186620e-17, 1.75186620e-17,\n 4.45000151e+02, 0.00000000e+00, 5.49164659e-18, 1.61718098e-16,\n 4.15000157e+02, 5.49098667e-18, 5.06197054e-17, -3.37464703e-17,\n 5.79999932e+02, 5.79999932e+02, 0.00000000e+00, 0.00000000e+00,\n 4.20000247e+02, 0.00000000e+00, 0.00000000e+00, 6.00000001e+01,\n 0.00000000e+00, 4.70000954e+01, -1.23254603e-16, 0.00000000e+00,\n 0.00000000e+00, 5.45263807e-16, -7.97664746e-16, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.18798328e-16, 0.00000000e+00,\n 4.00000005e+01, 0.00000000e+00, -9.39520560e-20, 9.39520560e-20,\n -1.18798328e-16, 0.00000000e+00, 1.37000000e+02, 0.00000000e+00,\n 1.00000001e+00, 0.00000000e+00, 4.68280933e-20, 0.00000000e+00,\n -3.10526281e-16, 0.00000000e+00, 9.37280230e-16, 3.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.03418257e-16, 1.62039516e-16,\n 1.80000000e+01, 0.00000000e+00, 0.00000000e+00, 1.08000000e+02,\n 0.00000000e+00, 0.00000000e+00, 2.98030006e+01, 6.15738750e+01,\n 4.66507434e+01, 4.63979125e+02, 3.50000000e+01, 1.19447500e+01,\n 1.02451000e+02, 6.70201251e+01, 3.22806253e+01, 2.79935631e+01,\n 4.07599976e+00, 2.57515121e-01, 9.87437809e+01, 5.60000000e+01,\n 1.01620875e+02, 3.63044500e+01, 4.57359999e+01, 2.32182500e+01,\n 1.01625574e+02, 4.16723749e+01, 2.72101400e+02, 1.21309251e+01,\n 4.04530001e+01, 4.50825231e+02, 3.10000000e+01, 1.26656525e+03,\n 1.85225257e+02, 3.20000000e+01, 2.06372500e+01, 6.96550000e+00,\n 2.59862126e+02, 5.35938752e+01, 3.99432500e+01]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-33592.48591341789, prim_res=8.767101643317161e-07, dual_res=0.009758195052175303, iter=5850, rho_updates=4, rho_estimate=0.06561194548140314, setup_time=0.000551458, solve_time=0.067429208, update_time=0.0, polish_time=0.000161333, run_time=0.06814199900000001))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2563, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "beaconfd", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:43:59", + "solve_time": 0.0160062313079834, + "status": "OPTIMAL", + "primal_objective_value": 32454.290135999996, + "dual_objective_value": 33592.4858072, + "duality_gap": -1138.1956712000028, + "primal_infeasibility": 95.28680102889979, + "dual_infeasibility": 1.2816839610226098e-19, + "iterations": null, + "memo": { + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 33592.4858072, + "solver_stats": { + "solver_name": "SCIP" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2558, + "solver_name": "cvxpy_scs", + "solver_version": "cvxpy-1.6.5-SCS-3.2.7.post2", + "problem_library": "NETLIB", + "problem_name": "beaconfd", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:43:56", + "solve_time": 0.0295412540435791, + "status": "OPTIMAL", + "primal_objective_value": 33822.41635327425, + "dual_objective_value": 33822.6803471623, + "duality_gap": -0.26399388804566115, + "primal_infeasibility": 2.355756066373741e-09, + "dual_infeasibility": 5.834697027865449e-06, + "iterations": 1950, + "memo": { + "solver_solve_time": 0.026651, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 33822.6803471623, + "solver_stats": { + "solve_time": 0.026651, + "setup_time": 0.000658583, + "num_iters": 1950, + "solver_name": "SCS", + "extra_stats": { + "x": "[-2.40000000e+00 -2.90000067e+00 -4.83476153e-03 4.24662873e-01\n -2.06999990e-03 -7.04999356e+00 -1.29998689e-03 -6.38999901e-03\n -3.61998854e-03 -2.50213982e+00 -2.92984238e+00 -1.82000000e+00\n -3.06000000e+00 -5.66003092e+00 -2.54915528e+00 -2.47954185e+00\n -3.60041303e-01 -2.57183130e+00 5.51733063e-06 1.07342823e+02\n -2.89119731e+00 -2.75216769e+00 -1.52971381e+00 -9.99990010e+00\n -3.40239785e+00 -1.70100000e+01 -3.79963714e-04 -8.62960705e+00\n -2.16000000e+00 -2.87985730e+00 -5.26971133e+00 -2.84004607e+00\n 1.37652972e-01 -3.59000000e+00 -5.34000006e+00 -9.99990010e+01\n -5.45000000e+00 -5.39992306e+00 -2.83934049e-03 -2.63310047e+00\n -2.43700813e+00 -9.29988619e-04 -1.54002737e+00 3.70186039e-02\n -2.82970441e+00 -3.33670999e+00 -6.39999906e-03 -4.49984946e+01\n -3.62999199e+00 -1.08998911e+02 -1.77500000e+01 -4.73000000e+00\n -8.19993717e-01 -1.68000627e+00 -1.00989832e-03 -1.63500000e+01\n -5.38974319e+00 -5.88994116e+00 -2.58983063e+00 -1.09981222e+01\n -4.64996064e+00 -1.29999670e-03 -1.03253646e-03 -9.94430963e-04\n -4.74960065e-04 -2.89869724e-04 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1.00966526e-08 2.06199632e+00 4.71980572e-11\n 1.45248699e-10 3.17478388e+00 6.82767377e-01 8.36784415e-08\n 4.30289233e-09 7.26931680e-01 2.52989169e-01 1.08333332e-01\n 1.34878866e-09 7.39950198e-10 1.90497789e-08 9.93762985e-08\n 2.38396863e-01 1.27144992e+00 2.21520845e-09 2.07770590e+00\n 2.70014889e-09 1.64219476e-09 9.51324363e+00 8.85690109e+00\n 1.72640684e-08 2.00000000e+01 3.63610550e-09 2.18824680e-09\n 1.51471615e-08 1.72535210e-01 5.72570137e-10 3.43660937e-10\n 4.08550980e-11 1.25964876e-10 1.00000000e+00 9.99999999e-01\n 4.37129619e-11 1.48529077e-10 9.99999999e-01 5.22426351e-08\n 4.91650243e-09 7.31873249e-02 7.90942396e-10 1.69631388e-09\n 4.13974030e-09 2.56273743e-05 4.65188451e+00 2.00000000e+01\n 2.00000000e+00 2.00870932e-09 1.61578595e-09 2.09536728e-09\n 3.41236631e-09 2.08740329e-09 9.10330947e-10 1.06127185e-09\n 1.44190961e-08 3.74576755e-09 7.79742826e-09 1.89139636e-08\n 9.05692627e-09 1.04847800e-08 1.27475527e-08 3.59051673e-09\n 1.10134108e-09 1.05544423e-09 4.66696264e-09 4.78848271e-09\n 5.03267366e-09 1.06662517e-08 1.05505914e-08 8.96458255e-09\n 9.66208046e-09 1.58010263e-08 9.86319349e-10 1.14634368e-09\n 1.13477662e-08 1.02516403e-08 1.24644279e-09 1.29760039e-09\n 8.68926275e-09 1.95792453e-08 1.21101635e-08 1.10962259e-08\n 1.19472014e-09 1.24121505e-09 1.45551816e-08 1.50249870e-08\n 1.31736562e-08 9.96215906e-10 1.23293850e-09 1.98813443e-08\n 1.01637805e-09 1.27501118e-09 1.37850072e-08 3.81882046e-09\n 1.01188517e-09 1.25508121e-09 5.24269773e-09 8.08336301e-09\n 1.42986050e-08 6.94658830e-09 4.82703171e-09 8.98232088e-09\n 2.04231358e-09 2.28565319e-09 2.26132645e-09 1.03652057e-08\n 1.23296647e-09 9.88941340e-10 3.81642025e-09 3.90986449e-09\n 3.80531944e-09 3.63332067e-09 3.20676613e-09 3.32234039e-09\n 1.20437791e-09 9.70461733e-10 1.10641398e-09 1.06598170e-09\n 1.24840938e-09 1.19804785e-09 1.26497178e-09 1.26849268e-09\n 1.21977949e-09 1.31387623e-09 1.04092848e-09 1.21735599e-09\n 1.23643653e-09 9.91315385e-10 1.18363439e-09 1.24499074e-09\n 9.98702610e-10 9.85152852e-10 9.59294409e-10 1.01312046e-09\n 1.20094353e-09 1.13844810e-09 1.19231971e-09 1.00000000e+00\n 1.18206564e-09 8.33753057e+02 4.98539490e+02 6.87279069e-10\n 1.29132882e+02 2.48437951e+04 1.46150000e+04 1.42214113e+04\n 3.16924530e+03 6.78142200e-10 6.78142200e-10 6.78142200e-10\n 2.85316330e-08 5.02896546e-08 4.94579439e+01 5.87131620e-09\n 2.06436745e-08 5.37231079e-09 5.97936370e+00 4.81190366e-09\n 4.95448994e+01 5.26466275e-09 5.72026227e+00 4.69065072e-09\n 5.36275314e-09 1.42245500e-08 4.61399402e-08 1.18837826e-08\n 2.06214520e-08 3.66596844e-08 9.35819863e-09 5.03172013e-08\n 1.21403962e-08 2.06287526e-08 1.10717817e-08 1.02086122e-08\n 2.88767086e+01 9.48414344e-09 5.51736659e+01 1.21356704e-08\n 3.23000979e-08 1.21368261e-08 3.13312499e-08 9.96515213e-09\n 3.88532516e+00 4.64137752e-08 1.39015218e-08 5.02540131e-08\n 1.04410715e-08 1.46697174e-08 1.17164920e-08 8.93955898e-09\n 4.74742362e-09 1.91736895e-08 1.62724257e-08 8.41049877e-09\n 1.53453343e-08 8.30000000e+01 2.99999993e+00 2.06000000e+02\n 2.29125942e-08 1.44277213e+01 7.11113352e+01 7.72974665e-09\n 6.01819173e-09 9.15247173e-09 2.87802012e-08 1.21424080e-08\n 5.06528716e-08 1.10697671e+01 6.06155327e+01 5.39389229e-08\n 1.21820255e-08 8.59559998e+01 1.76273132e+02 5.04250159e-08\n 1.06453231e-08 1.11827248e-08 2.55632135e-08 3.06817250e-08\n 1.26974430e-08 9.15252361e-09 3.07954808e-08 2.53982711e+01\n 2.56354346e-08 1.06769859e-08 1.44847212e-08 6.26173831e-09\n 3.03302863e-08 1.24041449e-08 2.56699568e-08 1.33378777e-08\n 9.16060354e-09 2.56179285e-08 3.06800383e-08 2.56238152e-08\n 3.06718506e-08 6.02971269e-09 4.33282151e+01 7.28197749e+01\n 1.03000000e+02 5.26488477e-09 2.06280674e-08 3.16717849e+01\n 9.92400939e-09 4.55466895e-08 2.06249259e-08 1.46461244e-10\n 2.00000000e+00 8.54304905e-10 6.39446731e-10 3.96847538e-11\n 6.49755068e+00 2.98430703e+00 2.87597369e+00 7.34070842e+00\n 9.99999961e-01 4.91406246e+00 1.34774800e-09 1.77857726e-10\n 3.55140188e-01 2.80000003e-01 3.55140187e-01 1.18061157e-01\n 1.12055369e-09 5.34819134e-09 1.44954125e+01 1.87906343e+01\n 8.35134380e-12 4.17809953e+00 3.09831701e-10 1.53156014e-10\n 3.67917322e-08 2.49080941e-09 1.02854253e-09 1.99736021e+00\n 6.19957989e-01 1.96428580e-01 1.08587241e+01 1.00000000e+00\n 1.00000000e+00 1.35571331e+01 1.81270778e-01 1.00000000e+00\n 1.59090912e-01 9.53679712e-01 1.83723935e+01 5.38662007e-01\n 6.64936987e-01 3.24886679e-09 3.01050452e-11 1.82482091e-10\n 1.25326569e-11 6.32821509e+00 6.67178485e+00 5.64708377e+01\n 2.99344660e+01 1.21333335e+01 7.67803494e+02 1.21577329e-06\n 6.18566269e+01 6.02103589e+02 4.60000001e+01 5.91651324e-08\n 3.29758588e-07 3.07058486e+01 2.00000003e+01 3.42684380e-09\n 3.65815308e-09 4.37708398e-09 3.65730434e-09 2.68887383e-09\n 6.11457791e+01 9.57821260e-08 4.80957228e+00 4.37061951e+00\n 4.81977486e+00 6.47464080e+02 2.77559197e+02 1.06716602e+03\n 9.62066019e-08 1.87647069e+01 9.93104348e-09 1.74900798e-08\n 7.27325581e+01 7.07865264e+01 4.75717813e+00 1.40000005e+01\n 5.21697676e+02 4.49848892e+02 7.28366317e-08 3.34659540e-08\n 7.00000003e+01 2.67727999e+03 1.73889335e-08 9.41860463e+00\n 1.12134736e+01 3.58667152e+02 3.72170252e-07 1.04651168e+00\n 1.84834375e+00 5.15165615e+00 1.99979813e-07 3.00000001e+01\n 1.07512168e-07 5.01043206e+01 1.82968446e+00 1.01696429e+02\n 4.73487941e-07 7.91862543e+02 4.65203799e+02 3.63319086e+02\n 4.43400000e+02 9.22499231e-09 3.81976743e+01 1.60226842e+01\n 9.18504673e+01 5.07723630e+02 2.17654334e+02 3.70999998e+02\n 1.30410715e+02 6.01457791e+01 9.50568116e-09 6.27906973e+00\n 4.30281688e+01 6.98702249e+01 2.73610740e-07 8.26487674e-08\n 2.14941704e-08 5.11819894e-09 1.38001693e-08 8.19190140e+01\n 5.76088934e+01 1.16205746e-05 2.70101767e+01 9.70166122e+01\n 1.46040059e+02 5.68854919e-06 8.15369712e+02 1.83798477e+03\n 5.89647886e+01 6.85434370e-08 9.97612993e+00 5.85352110e+01\n 5.45851901e-09 4.83962470e-08 5.40000000e+01 5.03047026e-08\n 1.13940416e-07 7.03201936e-08 4.90128629e+01 1.89392703e-09\n 4.70000000e+01 3.22940588e-09 4.72435371e+01 8.10000000e+01\n 3.00000000e+00 3.00000000e+00 3.00000000e+00 3.00000000e+00\n 3.00000000e+00 6.44859815e-01 4.00000000e+00 3.83967915e+00\n 3.27855614e+00 3.72000001e+00 3.99999999e+00 4.00000000e+00\n 1.91406250e+00 1.61764714e-01 1.92417279e+00 2.00000000e+00\n 2.00000000e+00 2.00000000e+00 7.00000000e+00 7.00000000e+00\n 7.00000000e+00 7.00000000e+00 7.00000000e+00 2.34198505e+00\n 6.99999876e+00 6.92512159e+00 6.99999990e+00 7.00000000e+00\n 5.07805100e+00 7.00000000e+00 7.00000000e+00 7.00000000e+00\n 7.00000000e+00 7.00000000e+00 3.97929886e-08 6.99999989e+00\n 3.91493141e+00 6.30482727e+00 7.00000000e+00 3.10278808e+00\n 7.00000000e+00 5.48916796e+00 6.99999996e+00 6.99999999e+00\n 6.99999999e+00 4.58266875e+00 4.00000000e+00 3.99999994e+00\n 3.99999992e+00 3.07582732e+00 4.00000000e+00 3.99999998e+00\n 2.30875466e+00 3.77718291e+00 4.00000000e+00 3.29518074e+00\n 3.84045700e+00 1.86436226e+00 4.00000000e+00 3.99999996e+00\n 3.30000001e+00 7.00000036e-01 4.00000000e+00 3.99999997e+00\n 3.99999999e+00 3.83823532e+00 7.00000000e+00 7.00000000e+00\n 7.00000000e+00 7.00000000e+00 7.00000000e+00 5.80357143e+00\n 7.00000000e+00 7.00000000e+00 7.00000000e+00 6.76548663e+00\n 6.23451338e+00 6.77716723e+00 6.99999898e+00 6.99999989e+00\n 6.99999999e+00 3.79930451e+00 6.99999999e+00 6.33579765e+00\n 6.99999995e+00 6.99999999e+00 6.99999999e+00 4.54614127e+00\n 1.00000000e+00 1.00000000e+00 1.30066723e-09 5.23255815e-01\n 1.00000000e+00 4.76744187e-01 6.74896175e-10 1.00000000e+00\n 1.00000000e+00 1.00000000e+00 1.72535222e-01 9.99999992e-01\n 4.51396407e+00 4.49952336e+00 5.00000000e+00 4.99999999e+00\n 2.93800368e+00 5.00000000e+00 5.00000000e+00 1.82521612e+00\n 4.31723262e+00 4.99999992e+00 5.00000000e+00 4.27306832e+00\n 4.74701083e+00 4.89166667e+00 5.00000000e+00 5.00000000e+00\n 4.99999998e+00 4.99999990e+00 9.76160314e+00 8.72855008e+00\n 7.00000000e+00 4.92229410e+00 1.00000000e+01 1.00000000e+01\n 4.86756375e-01 1.11430989e+01 2.00000000e+01 6.21578574e-09\n 2.00000000e+01 2.00000000e+01 2.00000000e+01 2.82746479e+00\n 3.00000000e+00 3.00000000e+00 3.00000000e+00 3.00000000e+00\n 2.00000000e+00 1.00000000e+00 1.00000000e+00 1.00000000e+00\n 1.26283771e-09 4.99999995e+00 5.00000000e+00 4.92681268e+00\n 2.00000000e+01 2.00000000e+01 2.00000000e+01 1.99999744e+01\n 1.53481155e+01 7.50022347e-09]", + "s": "[5.49463068e-03 2.35849566e-11 5.51560299e-02 6.87917300e-02\n 1.98845233e-11 1.33008561e-02 1.33108561e-02 5.59199963e-03\n 2.99405885e-02 5.64371393e-12 4.11125030e-12 4.14709826e-12\n 2.80001394e-10 8.16241493e-03 9.38405657e-11 8.15241474e-03\n 6.97326500e-12 8.54952554e-13 8.12049076e-10 8.59127293e-13\n 2.29925923e-04 1.62948884e-02 6.85831123e-03 1.05879615e-11\n 5.21860915e-03 1.02039753e-11 2.77031306e-11 3.16513696e-11\n 1.33449670e-12 5.42145624e-11 1.25415580e-11 3.33111083e-12\n 2.30106628e-03 9.87732138e-13 2.69475343e-12 7.98986704e-12\n 4.06139595e-12 2.80343324e-12 1.68519378e-02 6.55217293e-11\n 3.55303791e-02 2.86280531e-10 1.46836769e-02 1.74477188e-12\n 6.86011841e-03 7.90953104e-12 8.07323547e-04 8.17323573e-04\n 2.92261092e-12 6.08401439e-02 6.87424187e-12 5.52941933e-12\n 8.03642151e-13 1.29361932e-11 1.74394230e-11 8.36831983e-12\n 8.87633607e-11 6.80311803e-12 8.74792931e-03 1.70021191e-03\n 8.26614664e-03 5.06848413e-13 7.23081384e-11 1.98592253e-12\n 4.18504871e-12 4.49908794e-03 4.05800002e-12 4.88134461e-11\n 7.99126917e-12 1.04445939e-12 3.28019108e-13 3.10884616e-12\n 1.64991525e-12 2.80848101e-12 1.87650811e-13 3.26990550e-11\n 9.98237343e-03 4.03993426e-11 1.75464244e-11 6.74635329e-12\n 2.56473175e-02 1.56649441e-02 1.56649441e-02 4.74672939e-03\n 1.78755728e-12 7.01153047e-12 1.86684412e-02 2.03929273e-02\n 1.44322013e-10 3.33151134e-02 1.82675367e-12 5.35257284e-02\n 4.66460436e-02 5.40017056e-12 6.92157993e-11 3.04816521e-11\n 7.28002932e-12 3.67579481e-12 3.70224708e-11 1.55187282e-12\n 1.19138362e-11 1.10914164e-11 2.79311879e-03 5.37080406e-02\n 4.04776400e-12 7.22041695e-02 6.70489708e-02 1.14753298e-11\n 4.29056464e-04 9.54762030e-13 4.10085012e-12 4.81782712e-04\n 3.27984061e-13 1.86857267e-12 1.16022630e-12 4.19984328e-02\n 5.36721424e-12 1.79702871e-12 1.25278938e-11 7.62864184e-02\n 5.48328545e-03 5.37262663e-12 7.21847841e-12 4.63890385e-02\n 5.48328544e-03 2.59638394e-12 1.67437392e-12 4.97888221e-04\n 2.07248771e-03 7.27758804e-13 4.65617567e-04 5.53809732e-12\n 4.43411436e-02 5.41431428e-12 5.70248656e-12 8.80876711e-02\n 5.48328554e-03 8.53756132e-11 1.01482003e-10 5.81902912e-02\n 5.48328548e-03 2.56909108e-11 4.46624425e-11 1.05224543e-12\n 7.40966369e-12 8.25144696e-12 2.98973799e-02 8.82073841e-12\n 5.89958105e-12 4.81508221e-12 3.01545972e-12 7.46166311e-12\n 2.04079619e-12 1.97853777e-12 5.67224304e-11 5.21860913e-03\n 1.12247116e-12 2.74371570e-03 1.54475949e-12 2.52594175e-11\n 1.03640687e-12 2.93711272e-05 6.63471301e-13 1.43185632e-13\n 1.85044022e-11 1.01116063e-12 1.99569180e-12 5.98333651e-11\n 1.14547339e-12 2.17472418e-12 1.86357023e-11 1.99592280e-12\n 2.91940680e-05 2.32961553e-12 2.49600988e-11 3.99718597e-01\n 3.92907240e-11 4.73149042e-01 7.08157801e-11 1.10592653e-02\n 1.05742211e-11 1.37127444e-10 2.73763223e-10 2.49740885e-11\n 4.63407273e-01 5.24210612e-03 1.15596544e-11 6.73238058e-03\n 9.99875976e-06 2.86352299e-11 4.28877163e-11 9.17427779e-11\n 1.14417660e-11 6.86422833e-12 5.48809775e-11 2.73751268e-10\n 2.12554641e-11 2.76428631e-02 4.30985222e-02 3.46709799e-11\n 2.76328631e-02 4.30985222e-02 2.74303464e-10 2.74232755e-10\n 2.74287224e-10 2.74319335e-10 1.37220552e-10 3.92068120e-11\n 1.37074332e-10 1.37211730e-10 1.37120998e-10 2.73750338e-10\n 1.37215354e-10 5.48830864e-11 1.37066160e-10 1.30691041e-11\n 2.11098795e-11 4.57298255e-11 3.92048586e-11 1.61446114e-11\n 1.09788116e-11 4.26733510e-11 5.90330000e-01 4.89632326e-12\n 2.79410328e-01 3.01645152e-12 2.76640496e-01 7.06404959e-02\n 1.63627933e-01 6.31673751e-12 1.63000000e-01 6.92654703e-12\n 1.32308618e-01 3.73086184e-02 6.25056371e+00 2.73460351e+00\n 1.06169016e+00 7.58825516e+00 2.47705832e+00 1.16897496e-10\n 1.13893871e-01 1.79621994e-09 3.87443019e-10 1.03616211e-09\n 2.83958704e-02 9.46578082e-02 3.15398709e-09 3.29467332e-10\n 3.60256039e-09 2.66552685e+00 1.25953871e+00 7.20116478e-01\n 1.03387148e+00 5.22503367e-01 2.60949893e-01 8.32065365e-02\n 7.71345316e-02 5.87546369e-11 1.95087078e-04 3.79913037e-09\n 2.77553645e-03 6.16506382e-02 1.45108350e-10 1.26964738e+00\n 6.73372710e-01 3.68703723e-01 7.63011890e-02 1.49640218e-01\n 4.27911039e-11 2.27415334e-03 9.66295804e-11 4.13740071e-10\n 6.27466231e-02 7.22642816e-11 6.24686218e-02 1.85090816e-10\n 6.35606033e-03 2.22518788e-02 2.23358477e-02 1.16627509e-10\n 8.32042348e-02 4.21883026e-03 3.37681547e-03 2.95794701e-10\n 5.82829803e-02 1.09037029e-02 1.81201360e-10 1.17739617e-09\n 1.17214455e-01 3.92275966e-10 1.70468790e-09 1.29651208e-10\n 1.02420126e-01 7.01055858e-03 3.88602311e-10 8.33892444e-11\n 1.57180728e-01 1.00437292e-02 3.02868692e-02 1.55016330e-09\n 9.62734351e-01 4.96809762e-01 2.58646710e-01 7.15358098e-02\n 8.96658507e-02 2.27152066e-10 6.30869214e-01 2.97179564e-01\n 1.32685072e-01 1.16833042e-09 3.32475223e-10 1.12227457e-09\n 3.05457181e-04 2.51967128e-03 3.03690040e-02 9.07205816e-11\n 4.12702249e-02 4.21178176e-10 4.99166123e-03 1.78166315e-02\n 2.41358044e-02 1.13542598e-10 2.04753917e+00 2.23134821e+00\n 2.75757653e-10 5.80268574e-10 3.33016099e+00 5.21213058e-10\n 2.76167856e-10 1.31200199e+00 6.22453475e-01 3.26630347e-01\n 3.45555577e-10 3.22106678e-02 5.58577970e-10 5.68414746e-10\n 5.95044359e-02 2.63821566e-02 1.32864278e-10 5.83473581e+00\n 1.90026597e+00 8.70654930e-11 4.03023988e-10 3.33350124e-03\n 6.14957818e-02 3.57359765e-10 1.20951282e-09 2.69427760e-09\n 2.01361097e-01 3.69720177e-01 1.25521741e-02 2.79480321e-03\n 1.15144331e-09 2.37432484e-10 1.22615114e-01 1.33326244e-10\n 1.00193016e-01 1.66276821e-01 2.93336559e-11 3.30470331e-11\n 1.61490455e-02 1.37420745e-11 7.43716293e-02 1.24125248e-01\n 1.77901179e-02 1.61594952e-09 4.72300713e-01 7.86951852e-01\n 6.72963865e+00 2.18601754e+00 2.74282234e-10 2.75691186e-10\n 6.31124666e+00 1.86785188e+00 2.75356658e-10 5.25448534e-03\n 5.45977980e-02 3.58992615e-09 3.47241766e-01 1.61200050e-01\n 6.51458470e-02 4.82208230e-05 5.81805485e-11 1.37749298e-11\n 1.36846561e-10 1.33376328e-01 1.69812845e-01 1.30920000e-01\n 8.04404575e-02 1.34810000e-01 2.99880458e-01 2.58020458e-01\n 1.90203303e-02 7.30580428e-02 3.50913379e-02 1.45148151e-02\n 3.03200000e-02 2.61717183e-02 2.15388055e-02 7.66337006e-02\n 2.50026357e-01 2.59296357e-01 5.89063572e-02 5.71701681e-02\n 5.46130717e-02 2.57117801e-02 2.59184946e-02 3.07200001e-02\n 2.84271369e-02 1.74191439e-02 2.78447137e-01 2.39622081e-01\n 2.41847633e-02 2.62200001e-02 2.22550000e-01 2.13866714e-01\n 3.14800000e-02 1.40117182e-02 2.25560277e-02 2.45678742e-02\n 2.32050000e-01 2.23376714e-01 1.88355159e-02 1.81975564e-02\n 2.08618464e-02 2.75730000e-01 2.22830000e-01 1.37967145e-02\n 2.69571847e-01 2.15191846e-01 1.99088900e-02 7.18800000e-02\n 2.71460000e-01 2.18870000e-01 5.24509055e-02 3.39610077e-02\n 1.92544849e-02 3.95204256e-02 5.69183394e-02 3.05279137e-02\n 1.34320000e-01 1.21658806e-01 1.20116028e-01 2.64384328e-02\n 2.22141718e-01 2.76611718e-01 7.16415937e-02 7.01736998e-02\n 7.18213193e-02 7.52034975e-02 8.56814111e-02 8.27739772e-02\n 2.27781780e-01 2.81881780e-01 2.50190000e-01 2.59430000e-01\n 2.20381718e-01 2.29631718e-01 2.17277874e-01 2.16861718e-01\n 2.26261718e-01 2.08841718e-01 2.63201718e-01 2.26497874e-01\n 2.21347874e-01 2.75787874e-01 2.33231846e-01 2.20345516e-01\n 2.74365516e-01 2.78790426e-01 2.86298339e-01 2.70990905e-01\n 2.28620905e-01 2.41268339e-01 2.30360426e-01 2.74155618e-10\n 2.15001319e-01 3.29483328e-13 5.50585446e-13 3.99556659e-01\n 2.12539913e-12 1.10646741e-14 1.88553219e-14 1.93339166e-14\n 8.67435913e-14 3.99718760e-01 3.99718760e-01 3.99718760e-01\n 9.60549972e-03 5.48328546e-03 5.55598535e-12 4.75799815e-02\n 1.33008561e-02 5.12689758e-02 4.61102839e-11 5.73184063e-02\n 5.54348142e-12 5.20762998e-02 4.85996376e-11 5.88086808e-02\n 5.11115422e-02 1.97602439e-02 5.98117369e-03 2.30899363e-02\n 1.33008561e-02 7.55577317e-03 2.93430750e-02 5.48328545e-03\n 2.26081536e-02 1.33008561e-02 2.47894558e-02 2.90982817e-02\n 9.51848451e-12 2.90982817e-02 5.27460773e-12 2.26081536e-02\n 8.96397224e-03 2.26081536e-02 8.79119446e-03 2.76428631e-02\n 6.41164773e-11 5.94890304e-03 1.97935406e-02 5.48328547e-03\n 2.63382199e-02 1.87979827e-02 2.34439126e-02 3.28565667e-02\n 5.90090140e-02 1.86684411e-02 1.88142157e-02 3.33151135e-02\n 2.03929272e-02 3.31568118e-12 1.05862408e-10 1.33892599e-12\n 1.19779190e-02 1.80570655e-11 3.88024114e-12 3.44094062e-02\n 4.63890385e-02 2.98973799e-02 9.53379743e-03 2.26081536e-02\n 5.48328543e-03 2.43093987e-11 4.49143480e-12 5.03470951e-03\n 2.26081536e-02 3.46792381e-12 1.57314990e-12 5.48328547e-03\n 2.57695744e-02 2.45420863e-02 1.06955152e-02 8.96966975e-03\n 2.15516063e-02 3.00189923e-02 8.96966974e-03 1.08197033e-11\n 1.06955151e-02 2.57695743e-02 1.88998211e-02 4.47122866e-02\n 8.96967054e-03 2.20580289e-02 1.06810171e-02 2.06805617e-02\n 3.00189923e-02 1.06955151e-02 8.96966974e-03 1.06955151e-02\n 8.98037588e-03 4.55195425e-02 6.32693673e-12 3.75811671e-12\n 2.67404282e-12 5.20762994e-02 1.33008561e-02 8.64152116e-12\n 2.76428631e-02 6.72238141e-03 1.33008559e-02 1.12405175e+00\n 1.37371369e-10 3.17487893e-01 5.49857300e-01 7.71259545e+00\n 4.22940443e-11 9.12143942e-11 9.46848610e-11 3.78773985e-11\n 2.79798329e-10 5.60009520e-11 2.04070593e-01 1.56805877e+00\n 7.70911440e-10 9.43242231e-10 7.74489960e-10 2.27580968e-09\n 2.53835279e-01 5.74861221e-02 1.88586737e-11 1.46303555e-11\n 3.34179475e+01 6.50945962e-11 1.21301801e+00 2.40202165e+00\n 7.26708037e-03 1.13384449e-01 2.63371702e-01 1.36460369e-10\n 4.35619923e-10 1.34853668e-09 2.52175123e-11 2.74314113e-10\n 2.74314113e-10 2.03036949e-11 1.46418661e-09 2.74314113e-10\n 1.68216153e-09 2.84972949e-10 1.49812306e-11 4.98024965e-10\n 4.10871718e-10 8.76085001e-02 9.15306533e+00 1.50677793e+00\n 2.42427501e+01 4.30849556e-11 4.08915812e-11 4.80223900e-12\n 9.04445485e-12 2.23075399e-11 3.61039836e-13 2.19219806e-04\n 4.38765900e-12 4.63470832e-13 5.93549023e-12 4.49631789e-03\n 8.07323570e-04 8.97943136e-12 1.38207322e-11 8.00818199e-02\n 7.50036428e-02 6.21035173e-02 7.50036428e-02 1.08470506e-01\n 4.50805078e-12 2.89430734e-03 5.37949829e-11 5.80771748e-11\n 5.38951809e-11 4.21072444e-13 9.91233623e-13 2.58038370e-13\n 2.85340729e-03 1.38373081e-11 2.76428631e-02 1.56649441e-02\n 3.76199201e-12 3.89232852e-12 5.47729933e-11 1.89010982e-11\n 5.22657517e-13 6.11461444e-13 3.76705865e-03 8.26614657e-03\n 3.92498085e-12 1.03034844e-13 1.56649441e-02 2.91696467e-11\n 2.46989645e-11 7.60341027e-13 7.26388536e-04 2.54494628e-10\n 1.52703162e-10 5.31604444e-11 1.45541879e-03 9.12318256e-12\n 2.47384411e-03 5.46699588e-12 1.44182594e-10 2.68740780e-12\n 5.66501438e-04 3.45005797e-13 5.91383444e-13 7.56064653e-13\n 6.18425613e-13 3.01971802e-02 7.15013911e-12 1.71455986e-11\n 2.98726646e-12 5.38750267e-13 1.26429531e-12 7.71948757e-13\n 2.08613382e-12 4.56614004e-12 3.10102134e-02 4.28999243e-11\n 6.34799967e-12 3.85198571e-12 9.79670986e-04 3.31191871e-03\n 1.27484959e-02 5.36235794e-02 1.96068079e-02 3.30491677e-12\n 4.72201809e-12 2.36620218e-05 1.01380603e-11 2.79713620e-12\n 1.89091050e-12 4.38692589e-05 3.40093163e-13 1.49533407e-13\n 4.58327061e-12 4.21796802e-03 2.70303273e-11 4.69454797e-12\n 5.03116606e-02 5.64226518e-03 4.99702466e-12 5.64226518e-03\n 2.51325154e-03 3.86152451e-03 5.60818580e-12 1.45509672e-01\n 5.84050712e-12 8.63720674e-02 5.79562139e-12 3.39157195e-12\n 9.13826406e-11 9.13889414e-11 9.14065812e-11 9.13816946e-11\n 9.13917732e-11 4.21378836e-10 6.85524810e-11 7.13730773e-11\n 8.33301742e-11 7.35798133e-11 6.88712962e-11 6.86934806e-11\n 1.43233969e-10 1.66638435e-09 1.42415049e-10 1.37016422e-10\n 1.37038659e-10 1.37050152e-10 3.91951054e-11 3.91993248e-11\n 3.92033021e-11 3.92270208e-11 3.92541364e-11 1.18045586e-10\n 3.91590250e-11 3.97446081e-11 3.91800708e-11 3.92528408e-11\n 5.37839804e-11 3.91931305e-11 3.91966603e-11 3.92026213e-11\n 3.92445705e-11 3.92235682e-11 7.59739020e-03 3.93013919e-11\n 6.97794675e-11 4.36372594e-11 3.92414672e-11 8.84629319e-11\n 3.93287670e-11 4.98399469e-11 3.92657117e-11 3.92278700e-11\n 3.92549465e-11 5.95033706e-11 6.85567166e-11 6.85326021e-11\n 6.84909924e-11 8.92828598e-11 6.86571373e-11 6.86344804e-11\n 1.17290318e-10 7.28958033e-11 6.85852704e-11 8.34426931e-11\n 7.14663932e-11 1.46487337e-10 6.86189687e-11 6.86019669e-11\n 8.31960605e-11 3.87928539e-10 6.86114295e-11 6.86859519e-11\n 6.87481033e-11 7.19697969e-11 3.91931438e-11 3.91965625e-11\n 3.92012065e-11 3.92317247e-11 3.92292298e-11 4.73955099e-11\n 3.91950771e-11 3.92003202e-11 3.92059403e-11 4.04592646e-11\n 4.40758455e-11 4.06591167e-11 3.88418065e-11 3.91229771e-11\n 3.92754207e-11 7.21265810e-11 3.93717951e-11 4.32656496e-11\n 3.92028330e-11 3.92243322e-11 3.92720588e-11 6.00858250e-11\n 2.73911960e-10 2.73802650e-10 1.96272686e-01 5.19920844e-10\n 2.73657484e-10 5.76231571e-10 4.28187020e-01 2.73810316e-10\n 2.74007139e-10 2.74077728e-10 1.52619471e-09 3.07290550e-10\n 6.07417291e-11 6.09251382e-11 5.48861483e-11 5.49230826e-11\n 9.33895809e-11 5.48549075e-11 5.48606000e-11 1.48986521e-10\n 6.35490261e-11 5.47587377e-11 5.48887643e-11 6.43845662e-11\n 5.77168876e-11 5.60389918e-11 5.48780686e-11 5.48887329e-11\n 5.49379114e-11 5.50791552e-11 2.81253969e-11 3.14021918e-11\n 3.92295980e-11 5.55538173e-11 2.74590943e-11 2.74565492e-11\n 5.45469652e-10 2.44963685e-11 1.39022885e-11 4.35995628e-02\n 1.37281997e-11 1.37263996e-11 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1.45333193e-10\n 9.99999990e-01 1.49298961e-10 4.97427683e-10 1.63387232e-10\n 9.50332810e-11 9.84314405e-11 8.19938428e-11 8.48842902e-11\n 5.31770714e-11 6.64476465e-11 1.31924643e-10 1.60197729e-10\n 6.01552961e-10 2.07327745e-10 4.95407989e-11 5.06174398e-10\n 6.08888148e-10 5.63201251e-11 3.32339551e-10 5.17048412e-11\n 1.64942630e-10 6.21664319e-11 1.85810744e-10 1.15841521e-10\n 6.24319594e-10 5.42567934e-11 6.75343937e-11 3.29220082e-11\n 5.94629482e-11 1.51081992e-10 1.80000001e+00 6.38375351e-11\n 3.25201152e-11 1.99999992e-01 9.26799765e-10 7.46637673e-11\n 2.49373292e-10 3.25244964e-10 1.96562326e-10 4.31943474e-10\n 9.63104198e-11 1.27485736e-10 1.20090412e-10 1.65877328e-10\n 5.03362429e-11 3.66565173e-10 1.60835846e-10 9.23201715e-11\n 1.75261026e-10 5.49489437e-11 2.24581744e-10 2.76998608e-10\n 1.00000000e+00 2.34328120e-10 2.81873271e-10 1.02974395e-10\n 1.00000000e+00 3.00000001e+00 4.00000001e+00 5.34632083e-11\n 1.00000000e+00 8.08388830e-11 1.06244201e-10 1.13019465e-10\n 1.91431954e-10 9.99999990e-01 1.17252158e-10 1.29705050e-10\n 5.66611875e-11 1.06558738e-10 1.00416880e-10 7.87803779e-11\n 4.60207756e-11 7.21287072e-11 6.38834821e-11 5.94072436e-11\n 5.53993859e-11 9.31820163e-11 2.67108159e-11 3.45587821e-11\n 1.19922390e-10 5.00000001e+00 9.99999996e-01 1.59333272e-09\n 3.96916724e-10 2.31721299e-10 1.71320795e-09 1.01734617e-10\n 1.23446498e-09 1.38528274e-09 7.75891523e-11 1.00000000e+00\n 2.00000000e+00 9.99999994e-01 9.99999995e-01 5.57880229e-09\n 5.28482168e-10 1.57491424e-10 1.17663261e-09 4.54761820e-11\n 5.85863886e-10 1.00312458e-10 1.77707132e-10 1.79810442e-10\n 1.12442029e-10 1.00000000e+00 1.00000000e+00 6.71761489e-10\n 1.68267385e-10 1.46410994e-10 1.39208818e-10 7.80347015e-11\n 4.12648336e-10 1.64326124e-09 8.07126093e-11 4.47987484e-09\n 5.77288531e-11 7.21497803e-11 3.19875521e-11 4.02259826e-11\n 1.58817618e-10 5.92838029e-11 2.28771074e-10 2.19978507e-10\n 7.66018438e-11 3.69134837e-11 7.36513882e-11 9.43787747e-11\n 4.58054683e-11 7.92957149e-11 2.86671513e-11 7.43843146e-11\n 2.84952726e-11 4.57014942e-11 6.83046328e-11 1.34943805e-10\n 1.18950457e-10 1.18950457e-10 4.74408263e-11 5.03575795e-11\n 5.51806646e-11 9.20971447e-11 8.33732654e-11 1.00000000e+00\n 7.53403290e-11 8.40261762e-11 7.08851590e-11 4.62766056e-11\n 1.09337479e-10 1.54573307e-10 1.06793828e-10 1.99999993e-01\n 1.97127261e-10 1.58964147e-10 2.28115911e-10 4.80000000e+00\n 4.80000000e+00 7.20551708e-11 1.22393351e-10 8.00000007e-01\n 1.01505447e-10 1.49370495e-10 8.01925730e-11 2.20000000e+00\n 2.20000000e+00 1.06073657e-10 2.69714998e-11 4.03660609e-11\n 3.87820274e-11]", + "s": "[2.85936582e-10 5.14367127e-01 2.95262104e-10 9.37430393e-01\n 4.37817037e-10 4.60097456e-10 1.57200000e+00 2.94225662e-10\n 4.59451671e-10 1.02452970e-09 2.90178197e-10 3.52363288e+00\n 2.33217383e-09 4.74752662e-10 3.01999997e-01 3.17604190e-10\n 2.92926456e-10 4.01223019e+00 2.92171298e-10 4.44576981e+00\n 3.72935625e-02 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2.94335216e-10 4.25198154e-01 2.99517229e-10\n 2.35603531e+00 1.21322796e-01 3.88084519e-01 3.21156164e-10\n 3.02572018e-10 1.11559419e-01 2.69092061e-01 2.97290400e-10\n 1.32418797e+00 9.92042475e-01 1.40633159e+00 4.55063709e+00\n 2.92614523e-10 3.93943293e-02 3.05025724e-10 2.94945185e-10\n 2.79977166e+00 8.49725628e-02 2.55811677e+00 2.30282071e-01\n 3.10815486e-10 8.63926909e-10 1.35603422e-09 3.10344067e-02\n 3.53773637e-02 3.17094614e-10 1.22046244e+00 1.23824702e+00\n 7.58432741e-02 3.00773249e-10 4.81218327e-01 4.61275113e-01\n 3.06521877e-10 3.09414389e-10 6.86439555e-01 8.18515651e-01\n 3.05707560e-10 7.55539317e-01 8.23695296e-01 7.41441804e-02\n 1.46879470e+00 3.08972820e-10 3.00058230e-10 3.58612709e-02\n 3.87086489e-02 1.13740051e-01 4.82093106e-01 3.18777370e-10\n 1.14478319e-01 4.85848792e-01 3.18676339e-10 4.31638605e-02\n 2.19704135e+00 3.24685903e-10 4.50118682e-10 1.38164008e-09\n 3.14098218e-02 3.00114205e-10 2.44222835e+00 6.98414146e-02\n 2.97716277e-10 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1.47398162e+00 1.26946652e-01 9.72738397e-01\n 1.57365718e-10 2.70677315e-03 3.37860321e-10 1.00255859e+00\n 5.49242851e-02 3.06793751e+00 3.46853073e-02 3.29764286e-10\n 1.06313558e-09 6.28000002e-01 4.23432354e-10 4.56691697e-02\n 1.02618901e+00 3.13621027e-10 7.03381211e-02 1.40809154e-01\n 3.29788993e-10 7.31396492e-02 1.41155928e-01 3.26824120e-10\n 3.93628174e-02 3.06354764e-10 2.26789362e+00 2.93062319e-10\n 3.02379395e-10 1.86680977e-01 2.33245764e+00 3.95044346e-01\n 3.09736287e-10 1.13147791e+00 1.52915017e-02 3.39758469e-03\n 2.18088366e-10 3.84521119e-01 3.07128990e-10 1.47751962e+00\n 1.58934363e-02 3.34346225e-03 2.27926820e-10 3.00209642e-10\n 4.03201595e-01 1.27542783e+00 3.35947727e-10 1.64004189e+00\n 1.21510750e-01 3.16807805e-10 2.23891370e-01 9.76482158e-01\n 2.99252491e-10 7.03287106e-01 1.46120180e+00 1.93060524e-02\n 3.23788430e-10 1.06262927e+00 7.55411080e-10 1.06331844e+00\n 5.08845474e-02 4.71836526e-10 6.05748101e-01 9.02086748e-02\n 8.56367498e-01 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-6.16695448e+00, -3.02134120e+00, -1.73511856e+00, -2.66449523e+00,\n -2.66449523e+00, -5.21593649e+00, -5.56770911e+00, -4.93414080e+00,\n -2.55449071e+00, -3.40914611e+00, 2.10686533e-06, -3.63062879e+00,\n -3.60608228e+00, -4.52453622e+00, -5.74549131e+00, -2.93853783e+00,\n -1.91760328e+00, -2.78390142e+00, -2.06201575e-05, -1.01775834e+00,\n -9.65927563e-01, -1.22775960e+00, 9.34476692e-05, 9.85750863e-05,\n -5.02363766e+00, -2.05421248e+00, 2.14251985e-05, -2.63413891e+00,\n -1.73975212e+00, -3.06400543e+00, -8.42515584e-05, -8.71451310e-05,\n -3.26688401e+00, -9.82961961e+00, -8.73523425e+00, -6.62836746e+00]), y=array([ 1.00000765e+00, 0.00000000e+00, 1.00000714e+00, -7.36444326e-17,\n 1.99489488e-01, 8.00510512e-01, -1.64798730e-17, 1.00000712e+00,\n 7.99967669e-01, 2.00032331e-01, 9.99985034e-01, 0.00000000e+00,\n 1.99817400e-01, 8.00182600e-01, 8.23993651e-17, 1.00001467e+00,\n 1.00000309e+00, 0.00000000e+00, 9.99992144e-01, -9.88162980e-17,\n -3.40927373e-16, 1.00003441e+00, 2.00115797e-01, 7.99884203e-01,\n 0.00000000e+00, 9.99994927e-01, 8.00568399e-01, 1.99431601e-01,\n 0.00000000e+00, 1.00002666e+00, 6.59194921e-17, 9.99990486e-01,\n 0.00000000e+00, 9.99989859e-01, -8.23993651e-18, 9.99976403e-01,\n 1.00006644e+00, -6.17995238e-18, 0.00000000e+00, 9.99952596e-01,\n -9.88162980e-17, 9.88162980e-17, 1.99780660e-01, 8.00219341e-01,\n 0.00000000e+00, 9.99936541e-01, 0.00000000e+00, 1.00000050e+00,\n 1.00000351e+00, -1.57073790e-16, 9.88792381e-17, 1.00000519e+00,\n -4.11996826e-17, 9.99989417e-01, 9.99993021e-01, 0.00000000e+00,\n 8.00060523e-01, 1.99939478e-01, -2.47198095e-17, 1.00001790e+00,\n -3.62557206e-16, 9.99979633e-01, 7.99703033e-01, 2.00296967e-01,\n 0.00000000e+00, 9.99990713e-01, 1.49348849e-16, 1.00001336e+00,\n 0.00000000e+00, 9.81067441e-17, 1.00000107e+00, 2.80000491e-17,\n 9.99990968e-01, 0.00000000e+00, 9.99955696e-01, 3.29597460e-17,\n 1.00004649e+00, 2.05998413e-17, 9.99993860e-01, 0.00000000e+00,\n 1.00003102e+00, 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0.00000000e+00, -7.72494048e-18,\n 7.82793969e-17, 9.99977487e-01, -5.14996032e-18, 4.11996826e-17,\n 1.00001262e+00, 4.06203120e-17, 9.99977301e-01, 8.23993651e-18,\n 0.00000000e+00, 0.00000000e+00, 9.99995702e-01, 8.78068234e-17,\n 1.00000803e+00, 0.00000000e+00, 2.47040745e-17, -6.90094683e-17,\n -3.70561118e-17, 9.99987705e-01, 1.00000393e+00, -4.28476699e-16,\n 2.61682359e-17, 7.99764674e-01, 2.00238300e-01, 3.50197302e-17,\n 1.00000357e+00, 0.00000000e+00, -7.41594286e-17, 1.23520373e-17,\n 1.00000599e+00, -2.47157861e-17, 9.99998888e-01, 4.94081490e-17,\n -2.27628246e-16, 0.00000000e+00, -4.28927320e-16, 9.99988690e-01,\n 2.00316447e-01, -2.47040745e-17, 7.99650369e-01, -1.08986035e-16,\n 0.00000000e+00, 9.99991794e-01, 1.28749008e-18, 9.06393016e-17,\n 9.99984795e-01, 1.64798730e-17, 3.34747421e-17, 9.99988830e-01,\n -5.14996032e-17, 9.99996219e-01, 0.00000000e+00, 9.99998341e-01,\n 1.00001499e+00, -6.55332451e-17, 0.00000000e+00, 1.99560962e-18,\n 9.99997469e-01, 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0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -4.96475844e-17, 0.00000000e+00,\n 0.00000000e+00, 8.52794091e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 4.00003135e+00, 1.00000192e+00, 1.99996881e+00,\n 1.00000808e+00, 0.00000000e+00, -9.88792381e-17, 0.00000000e+00,\n 1.84021756e-18, 1.17096541e-31, 0.00000000e+00, 1.64798730e-17,\n 0.00000000e+00, -1.91998388e-16, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 2.05998413e-18, 0.00000000e+00,\n 0.00000000e+00, 2.00000245e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -6.17601863e-18, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 5.85482703e-32, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.45498672e-18, -1.33249077e-18,\n 1.06599261e-17, 0.00000000e+00, -1.29298424e-17, 0.00000000e+00,\n -2.02718173e-16, -2.32797875e-17, 3.58397901e-17, 0.00000000e+00,\n 0.00000000e+00, 8.52794091e-17, 0.00000000e+00, 0.00000000e+00,\n -1.54498810e-18, 0.00000000e+00, -8.23993651e-18, -1.15359111e-16,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 8.00401723e-01,\n -1.54400466e-18, 0.00000000e+00, -2.90997344e-18, 5.85482703e-32,\n 0.00000000e+00, 2.08201682e-20, 1.00001571e+00, 1.19961800e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n -6.02791217e-18, 9.99996062e-01, 0.00000000e+00, 0.00000000e+00,\n -1.28749008e-18, 3.86001164e-18, 0.00000000e+00, 0.00000000e+00,\n 9.99996329e-01, -3.13117587e-17, 0.00000000e+00, 0.00000000e+00,\n 3.08800931e-18, 1.46370676e-32, 0.00000000e+00, -5.76008804e-18,\n 0.00000000e+00, -4.65595750e-17, 0.00000000e+00, 0.00000000e+00,\n 2.05998413e-18, 0.00000000e+00, 4.63201397e-18, -2.57498016e-19,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 6.66245384e-19, -7.45596242e-17, -1.16398938e-17, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.54400466e-18, 0.00000000e+00,\n 6.17601863e-18, 3.63746680e-19, 1.79994404e+00, 4.96475844e-17,\n 0.00000000e+00, 2.00058876e-01, -1.54400466e-18, 3.08800931e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.33249077e-18,\n 4.11996826e-17, 0.00000000e+00, 5.08796411e-17, 5.76008804e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 3.08997619e-18, 0.00000000e+00,\n 9.99941715e-01, 0.00000000e+00, 8.36868552e-19, -5.14996032e-18,\n 9.99989319e-01, 2.99984827e+00, 3.99981983e+00, 0.00000000e+00,\n 1.00001935e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.00020529e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 2.05998413e-18, 1.02999206e-18, 0.00000000e+00,\n 0.00000000e+00, -5.23196631e-17, -1.93599170e-17, 2.32797875e-17,\n -1.54400466e-18, 8.52794091e-17, 0.00000000e+00, 0.00000000e+00,\n 1.54400466e-18, 5.00002514e+00, 1.00000388e+00, -8.74994875e-21,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.54400466e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.00000885e+00,\n 2.00000619e+00, 9.99999865e-01, 1.00000539e+00, -3.63746680e-19,\n 5.14996032e-19, 0.00000000e+00, 6.03126819e-20, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.82589261e-18,\n 0.00000000e+00, 9.99966539e-01, 9.99971551e-01, 0.00000000e+00,\n 0.00000000e+00, 2.32797875e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -9.65617560e-20, -5.27355937e-17, 0.00000000e+00,\n 6.17601863e-18, 0.00000000e+00, 1.41719040e-16, 8.52794091e-17,\n 3.08800931e-18, -4.63496429e-18, 0.00000000e+00, 1.54400466e-17,\n 0.00000000e+00, -7.83974096e-18, 0.00000000e+00, 5.85482703e-32,\n -1.07119175e-16, 0.00000000e+00, -1.64798730e-17, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.19556014e-32,\n -5.35595873e-17, -5.35595873e-17, 0.00000000e+00, 8.52794091e-17,\n -4.65595750e-17, -5.81994688e-18, 3.51289622e-31, 9.99995897e-01,\n 0.00000000e+00, 0.00000000e+00, 9.88792381e-17, -5.19037325e-17,\n -3.91987048e-18, -2.05998413e-18, 0.00000000e+00, 2.00230821e-01,\n 0.00000000e+00, 0.00000000e+00, 5.32996307e-18, 4.80060185e+00,\n 4.80060948e+00, 0.00000000e+00, 0.00000000e+00, 7.99774392e-01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.19943930e+00,\n 2.19944082e+00, 0.00000000e+00, 0.00000000e+00, -1.91998388e-16,\n 7.83974096e-18]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=1435.177158790581, prim_res=0.0001813926935732013, dual_res=0.0003044078087315119, iter=1600, rho_updates=1, rho_estimate=0.008876668917856139, setup_time=0.001846375, solve_time=0.08138075, update_time=0.0, polish_time=0.000499916, run_time=0.083727041))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2671, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "degen2", + "problem_type": "LP", + 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"d073ec31c915c0a3602ffc386cee55ff783cc205", + "timestamp": "2026-07-05T12:40:17", + "solve_time": 0.9340247083333333, + "status": "STALLED", + "primal_objective_value": -987.2372743512265, + "dual_objective_value": -987.307224387303, + "duality_gap": 0.06995003607653416, + "primal_infeasibility": 2.6547438962481874e-08, + "dual_infeasibility": 0.0, + "iterations": 22, + "memo": { + "matlab_output": { + "solver_name": "SDPT3", + "status": "stalled", + "solve_time": 0.9340247083333333, + "setup_time": [], + "iterations": 22, + "primal_objective_value": -987.2372743512265, + "dual_objective_value": -987.307224387303, + "duality_gap": 0.06995003607653416, + "primal_infeasibility": 2.6547438962481874e-08, + "dual_infeasibility": 0, + "solver_version": "SDPT3-4.0-20240410", + "solver_options": {}, + "termination_reason": "Poor progress in relative gap or infeasibility", + "error_message": "", + "timestamp": "2026-07-05 21:40:15", + "matlab_version": "24.1.0.2537033 (R2024a)", + "original_status": { + "termcode": -5, + "iter": 22, + "full_info": { + "dimacs": [ + 4.242976332507373e-08, + 0, + 9.077320390666073e-08, + 0, + 3.540797796313891e-05, + 6.551743906372542e-05 + ], + "termcode": -5, + "iter": 22, + "obj": [ + -987.2372743512265, + -987.307224387303 + ], + "gap": 0.12943261631377959, + "relgap": 6.551743906372542e-05, + "pinfeas": 2.6547438962481874e-08, + "dinfeas": 1.6371674687868483e-08, + "cputime": 0.8272040000000036, + "time": { + "preproc": 0.04847300000000132, + "pred": 0.583177000000001, + "pred_pstep": 0.005832000000001614, + "pred_dstep": 0.0063649999999970674, + "corr": 0.13560700000000203, + "corr_pstep": 0.004196000000000311, + "corr_dstep": 0.004660999999998694, + "pchol": 0.00904199999999733, + "dchol": 0.0033690000000063947, + "misc": 0.027757999999998617 + }, + "resid": [], + "reldist": [], + "normX": 35.950628119116885, + "normy": 626036.0517887998, + "normZ": 568265.3704746485, + "normb": 76.71657678474378, + "maxb": 48, + "normC": 108.94996943028751, + "maxC": 19.65, + "normA": 160.4741358339966, + "msg1": "linsysolve: Schur complement matrix not positive definite", + "msg2": "stop: steps too short consecutively", + "msg3": [], + "model": 1 + } + } + }, + "matlab_version": "24.1.0.2537033 (R2024a)", + "solver_backend": "sdpt3", + "execution_environment": "matlab", + "original_status": { + "termcode": -5, + "iter": 22, + "full_info": { + "dimacs": [ + 4.242976332507373e-08, + 0, + 9.077320390666073e-08, + 0, + 3.540797796313891e-05, + 6.551743906372542e-05 + ], + "termcode": -5, + "iter": 22, + "obj": [ + -987.2372743512265, + -987.307224387303 + ], + "gap": 0.12943261631377959, + "relgap": 6.551743906372542e-05, + "pinfeas": 2.6547438962481874e-08, + "dinfeas": 1.6371674687868483e-08, + "cputime": 0.8272040000000036, + "time": { + "preproc": 0.04847300000000132, + "pred": 0.583177000000001, + "pred_pstep": 0.005832000000001614, + "pred_dstep": 0.0063649999999970674, + "corr": 0.13560700000000203, + "corr_pstep": 0.004196000000000311, + "corr_dstep": 0.004660999999998694, + "pchol": 0.00904199999999733, + "dchol": 0.0033690000000063947, + "misc": 0.027757999999998617 + }, + "resid": [], + "reldist": [], + "normX": 35.950628119116885, + "normy": 626036.0517887998, + "normZ": 568265.3704746485, + "normb": 76.71657678474378, + "maxb": 48, + "normC": 108.94996943028751, + "maxC": 19.65, + "normA": 160.4741358339966, + "msg1": "linsysolve: Schur complement matrix not positive definite", + "msg2": "stop: steps too short consecutively", + "msg3": [], + "model": 1 + } + }, + "problem_class": "LP" + } + }, + { + "id": 3348, + "solver_name": "matlab_sedumi", + "solver_version": "SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a))", + "problem_library": "NETLIB", + "problem_name": "degen3", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770560.0 + }, + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205", + "timestamp": "2026-07-05T12:40:12", + "solve_time": 0.3803867083333333, + "status": "OPTIMAL", + "primal_objective_value": -987.2940000036307, + "dual_objective_value": -987.2940000000001, + "duality_gap": 3.630589162639808e-09, + "primal_infeasibility": 1.3639427886523291e-11, + "dual_infeasibility": 1.3893365508231021e-18, + "iterations": 15, + "memo": { + "matlab_output": { + "solver_name": "SeDuMi", + "status": "optimal", + "solve_time": 0.3803867083333333, + "setup_time": [], + "iterations": 15, + "primal_objective_value": -987.2940000036307, + "dual_objective_value": -987.2940000000001, + "duality_gap": 3.630589162639808e-09, + "primal_infeasibility": 1.3639427886523291e-11, + "dual_infeasibility": 1.3893365508231021e-18, + "solver_version": "SeDuMi-1.3.7", + "solver_options": {}, + "termination_reason": "Optimal solution found", + "error_message": "", + "timestamp": "2026-07-05 21:40:09", + "matlab_version": "24.1.0.2537033 (R2024a)", + "original_status": { + "pinf": 0, + "dinf": 0, + "numerr": 0, + "iter": 15, + "feasratio": 1, + "full_info": { + "iter": 15, + "feasratio": 1, + "pinf": 0, + "dinf": 0, + "numerr": 0, + "r0": 2.1799359661143482e-11, + "timing": [ + 0.11706836521625519, + 0.24402402341365814, + 0.0024944543838500977 + ], + "wallsec": 0.3635868430137634, + "cpusec": 0.9000000000000004 + } + } + }, + "matlab_version": "24.1.0.2537033 (R2024a)", + "solver_backend": "sedumi", + "execution_environment": "matlab", + "original_status": { + "pinf": 0, + "dinf": 0, + "numerr": 0, + "iter": 15, + "feasratio": 1, + "full_info": { + "iter": 15, + "feasratio": 1, + "pinf": 0, + "dinf": 0, + "numerr": 0, + "r0": 2.1799359661143482e-11, + "timing": [ + 0.11706836521625519, + 0.24402402341365814, + 0.0024944543838500977 + ], + "wallsec": 0.3635868430137634, + "cpusec": 0.9000000000000004 + } + }, + "problem_class": "LP" + } + }, + { + "id": 2673, + "solver_name": "scipy_linprog", + "solver_version": "scipy-1.15.3", + "problem_library": "NETLIB", + "problem_name": "degen3", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:07", + "solve_time": 0.2804558277130127, + "status": "OPTIMAL", + "primal_objective_value": -987.2940000000001, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": 0.0, + "dual_infeasibility": null, + "iterations": 2494, + "memo": { + "solver_solve_time": 0.2804558277130127, + "original_status": { + "scipy_status": 0, + "scipy_success": true, + "scipy_message": "Optimization terminated successfully. (HiGHS Status 7: Optimal)", + "scipy_fun": -987.2940000000001, + "scipy_nit": 2494, + "scipy_crossover_nit": 0, + "scipy_mip_dual_bound": 0.0, + "scipy_mip_gap": 0.0, + "scipy_mip_node_count": 0 + }, + "problem_class": "LP" + } + }, + { + "id": 2683, + "solver_name": "cvxpy_clarabel", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:22", + "solve_time": 0.7879502773284912, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:22 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_clarabel\n2026-07-05 17:50:22 - python_solver_runner - INFO - Solving dfl001 with cvxpy_clarabel\n2026-07-05 17:50:22 - solver_cvxpy_clarabel - INFO - Initialized CVXPY solver 'cvxpy_clarabel' with backend 'CLARABEL'\n2026-07-05 17:50:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2687, + "solver_name": "cvxpy_cvxopt", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:25", + "solve_time": 0.9437928199768066, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:25 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:25 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:25 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:25 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_cvxopt\n2026-07-05 17:50:25 - python_solver_runner - INFO - Solving dfl001 with cvxpy_cvxopt\n2026-07-05 17:50:25 - solver_cvxpy_cvxopt - INFO - Initialized CVXPY solver 'cvxpy_cvxopt' with backend 'CVXOPT'\n2026-07-05 17:50:25 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:25 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2685, + "solver_name": "cvxpy_ecos", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:23", + "solve_time": 0.7123849391937256, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:23 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:23 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:23 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:23 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_ecos\n2026-07-05 17:50:23 - python_solver_runner - INFO - Solving dfl001 with cvxpy_ecos\n2026-07-05 17:50:23 - solver_cvxpy_ecos - INFO - Initialized CVXPY solver 'cvxpy_ecos' with backend 'ECOS'\n2026-07-05 17:50:23 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:23 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2690, + "solver_name": "cvxpy_highs", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:27", + "solve_time": 0.6777410507202148, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:27 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:27 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:27 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:27 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_highs\n2026-07-05 17:50:27 - python_solver_runner - INFO - Solving dfl001 with cvxpy_highs\n2026-07-05 17:50:27 - solver_cvxpy_highs - INFO - Initialized CVXPY solver 'cvxpy_highs' with backend 'HIGHS'\n2026-07-05 17:50:27 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:27 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2686, + "solver_name": "cvxpy_osqp", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:24", + "solve_time": 0.948065996170044, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:24 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:24 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:24 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:24 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_osqp\n2026-07-05 17:50:24 - python_solver_runner - INFO - Solving dfl001 with cvxpy_osqp\n2026-07-05 17:50:24 - solver_cvxpy_osqp - INFO - Initialized CVXPY solver 'cvxpy_osqp' with backend 'OSQP'\n2026-07-05 17:50:24 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:24 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2689, + "solver_name": "cvxpy_scip", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:27", + "solve_time": 0.6727578639984131, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:27 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:27 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:27 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:27 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_scip\n2026-07-05 17:50:27 - python_solver_runner - INFO - Solving dfl001 with cvxpy_scip\n2026-07-05 17:50:27 - solver_cvxpy_scip - INFO - Initialized CVXPY solver 'cvxpy_scip' with backend 'SCIP'\n2026-07-05 17:50:27 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:27 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2684, + "solver_name": "cvxpy_scs", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:22", + "solve_time": 0.6375408172607422, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:22 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_scs\n2026-07-05 17:50:22 - python_solver_runner - INFO - Solving dfl001 with cvxpy_scs\n2026-07-05 17:50:22 - solver_cvxpy_scs - INFO - Initialized CVXPY solver 'cvxpy_scs' with backend 'SCS'\n2026-07-05 17:50:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2688, + "solver_name": "cvxpy_sdpa", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:26", + "solve_time": 0.8969829082489014, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:26 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:26 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:26 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:26 - python_solver_runner - INFO - Subprocess solving dfl001 with cvxpy_sdpa\n2026-07-05 17:50:26 - python_solver_runner - INFO - Solving dfl001 with cvxpy_sdpa\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/cvxpy/problems/problem.py:1504: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n warnings.warn(\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/sdpap/sdpaputils.py:114: RuntimeWarning: k >= N - 1 for N * N square matrix. Attempting to use scipy.linalg.eig instead.\n eig = eigs(mat.toarray(), k=1, which='SM',\n2026-07-05 17:50:26 - solver_cvxpy_sdpa - INFO - Initialized CVXPY solver 'cvxpy_sdpa' with backend 'SDPA'\n2026-07-05 17:50:26 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:26 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3351, + "solver_name": "matlab_sdpt3", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770560.0 + }, + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205", + "timestamp": "2026-07-05T12:40:26", + "solve_time": 4.434568881988525, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "Error: Index exceeds the number of array elements. Index must not exceed 3.; Original error: Index exceeds the number of array elements. Index must not exceed 3.", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3350, + "solver_name": "matlab_sedumi", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770560.0 + }, + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205", + "timestamp": "2026-07-05T12:40:21", + "solve_time": 4.4690470695495605, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "Error: Index exceeds the number of array elements. Index must not exceed 3.; Original error: Index exceeds the number of array elements. Index must not exceed 3.", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2682, + "solver_name": "scipy_linprog", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "dfl001", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:21", + "solve_time": 0.6787209510803223, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 17:50:21 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 17:50:21 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 17:50:21 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 17:50:21 - python_solver_runner - INFO - Subprocess solving dfl001 with scipy_linprog\n2026-07-05 17:50:21 - python_solver_runner - INFO - Solving dfl001 with scipy_linprog\n2026-07-05 17:50:21 - solver_scipy_linprog - INFO - Initialized SciPy solver with method 'highs'\n2026-07-05 17:50:21 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/dfl001.mps\n2026-07-05 17:50:21 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem dfl001: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2692, + "solver_name": "cvxpy_clarabel", + "solver_version": "cvxpy-1.6.5-CLARABEL-0.11.0", + "problem_library": "NETLIB", + "problem_name": "e226", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:50:29", + "solve_time": 0.009691238403320312, + "status": "OPTIMAL", + "primal_objective_value": -18.75192791671704, + "dual_objective_value": -18.75192781704161, + "duality_gap": -9.967542879962821e-08, + "primal_infeasibility": 1.572134880784565e-08, + "dual_infeasibility": 6.17047227090499e-11, + "iterations": 18, + "memo": { + "solver_solve_time": 0.00596471, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -18.75192781704161, + "solver_stats": { + "solve_time": 0.00596471, + "num_iters": 18, + "solver_name": "CLARABEL" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2696, + "solver_name": "cvxpy_cvxopt", + "solver_version": "cvxpy-1.6.5-CVXOPT-1.3.2", + "problem_library": "NETLIB", + "problem_name": "e226", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + 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"environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:51:07", + "solve_time": 0.011975765228271484, + "status": "OPTIMAL", + "primal_objective_value": 555679.5648174963, + "dual_objective_value": 555679.5648174956, + "duality_gap": 6.984919309616089e-10, + "primal_infeasibility": 2.2030637468642783e-16, + "dual_infeasibility": 2.3348258728322875e-14, + "iterations": 293, + "memo": { + "solver_solve_time": 0.006421374157071114, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 555679.5648174956, + "solver_stats": { + "solve_time": 0.006421374157071114, + "num_iters": 293, + "solver_name": "HIGHS", + "extra_stats": "" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2713, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "fffff800", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:51:01", + "solve_time": 0.014882087707519531, + "status": "UNBOUNDED", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "solver_solve_time": 0.0093315, + "original_status": { + "cvxpy_status": "unbounded", + "cvxpy_value": Infinity, + "solver_stats": { + "solve_time": 0.0093315, + "solver_name": "OSQP", + "extra_stats": "namespace(x=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 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2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1028,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1028,)), dual_inf_cert=array([ 4.28088150e-06, -2.93419984e-06, -3.55276343e-05, -6.88362346e-04,\n -1.49190754e-05, -1.88346726e-05, -5.19817622e-06, 1.04227420e-05,\n -1.83551395e-04, -7.84931501e-05, -3.92781308e-06, -1.03999280e-06,\n -1.38080554e-03, -7.50954685e-04, -6.25069926e-04, -4.51684892e-04,\n -6.95405562e-04, -3.77596941e-04, -3.12201915e-04, -2.40589796e-04,\n -1.37759514e-03, -7.51662501e-04, -6.25985772e-04, -4.81422361e-04,\n -6.90612763e-04, -3.73720927e-04, -3.09733890e-04, -2.39989816e-04,\n -1.11513042e-05, -2.01009426e-06, -3.33499813e-06, -5.97263467e-06,\n -1.66480179e-05, -1.92773600e-06, -4.66346795e-06, -1.06176257e-05,\n -2.21172268e-05, -2.91450717e-06, -4.71195925e-06, -1.52010983e-05,\n -2.23248944e-05, -1.98344552e-06, -5.83946653e-06, -1.79001163e-05,\n -2.67541549e-05, -6.40664989e-06, -7.62017921e-06, -2.25431449e-05,\n -2.61209678e-05, -6.48268092e-06, -8.12976820e-06, -2.50039000e-05,\n -2.59562941e-05, -5.45987255e-06, -8.26148766e-06, -2.46303003e-05,\n 1.50097262e-04, 1.30310844e-04, 1.33409595e-04, 1.48069621e-04,\n 2.25320446e-04, 3.82442567e-04, 5.03859214e-05, 1.54255369e-04,\n 1.29700256e-04, 4.15241597e-05, -5.52838993e-05, -5.91195507e-05,\n -5.95175114e-05, -5.77183641e-05, -4.21117200e-05, -4.71894410e-05,\n -5.01821535e-05, -5.13600471e-05, 8.16683550e-03, 1.64662300e-03,\n 2.47508676e-03, 6.87700404e-03, -8.05196192e-03, -1.48072723e-03,\n -2.21522734e-03, -6.65799593e-03, 8.57160876e-05, -1.06264791e-05,\n 1.84488087e-06, -3.99423268e-06, -5.21047232e-06, -7.48658800e-06,\n -1.16246337e-06, -8.05801073e-07, -5.08275238e-07, -1.84839689e-07,\n -8.94315404e-06, -8.03796661e-06, -6.28690388e-06, -4.72678221e-06,\n -3.30036364e-06, -2.74650213e-06, -1.31798529e-06, -1.52136945e-06,\n -1.17716815e-06, -3.05475876e-06, -5.42875769e-06, -1.97261643e-06,\n 6.69416898e-06, 6.07949212e-06, 5.14801719e-06, 1.83857297e-06,\n -8.06012065e-06, -3.14901972e-06, -1.80599782e-06, -2.19605733e-06,\n -2.08672214e-06, -1.38081284e-06, -8.40242617e-07, -3.66229093e-07,\n 7.78529747e-06, 5.40443352e-06, -9.31076611e-06, 1.35455866e-06,\n 1.10650004e-05, 7.76680858e-06, -9.15075941e-06, 2.62852521e-06,\n 9.13476016e-06, 6.21812252e-06, -1.02656663e-05, 1.58592299e-06,\n 9.72075011e-06, 6.60538069e-06, -1.14223701e-05, 1.60554838e-06,\n 9.15788078e-06, 6.13384017e-06, -1.09507949e-05, 1.46383908e-06,\n 4.41118632e-06, 7.20932821e-06, 3.75692139e-07, 5.69703698e-06,\n 9.67497007e-06, 6.56469467e-06, -1.12808522e-05, 1.59368876e-06,\n 7.89414572e-06, 4.30851153e-06, -1.30229256e-05, -2.12250274e-06,\n 5.94292783e-05, 4.81877742e-05, 2.55763342e-05, 4.39281850e-05,\n 5.49150963e-06, -1.18359589e-06, -1.78553836e-05, 1.11108706e-05,\n 7.46677415e-06, 4.35140473e-06, -1.36763461e-05, -6.48427576e-07,\n 8.36483230e-06, 2.70272193e-06, -1.08600057e-05, 6.19432073e-06,\n 3.13385910e-04, -4.80383406e-06, -1.32807487e-05, -9.83351083e-06,\n 8.26723006e-06, 4.47073941e-06, -1.32488153e-05, -2.20824946e-06,\n -2.04674839e-07, -2.37021766e-07, -3.87973245e-07, -2.55978841e-07,\n 1.66840239e-05, -1.16876876e-05, 3.17760994e-05, 2.31986103e-05,\n -4.99079708e-06, -3.14782276e-06, 1.45595793e-05, 7.75927458e-06,\n -1.01863944e-05, -1.62945693e-05, -3.74569685e-05, -3.80806974e-05,\n -1.03516180e-05, -1.65093500e-05, -3.84074091e-05, -3.84506706e-05,\n 1.17323857e-05, 1.89087909e-05, 4.32975552e-05, 4.16746781e-05,\n -1.02138667e-05, -1.60304575e-05, 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9.93690630e-06, 1.84190757e-05, 4.36038771e-05, 4.30040836e-05,\n -1.01596976e-05, -1.60022180e-05, -3.80134371e-05, -3.81558665e-05,\n 9.98564876e-06, 1.86754384e-05, 4.39130320e-05, 4.32323162e-05,\n -1.01449212e-05, -1.59619628e-05, -3.79927537e-05, -3.81983775e-05,\n 1.01696808e-05, 1.60453338e-05, 3.81874928e-05, 3.85019682e-05,\n -1.00696719e-05, -1.57402646e-05, -3.75975613e-05, -3.72875024e-05,\n 9.99782902e-06, 5.26552167e-06, 2.68990329e-05, 2.27254312e-05,\n -2.03067347e-05, -6.56698409e-06, -3.85315679e-05, -2.61248308e-05,\n -1.01575260e-05, -1.59900855e-05, -3.79792671e-05, -3.80565782e-05,\n 1.12810636e-05, 1.83546561e-05, 4.12551352e-05, 4.08522021e-05,\n -1.00600124e-05, -1.57303836e-05, -3.77291663e-05, -3.77372731e-05,\n 1.00600124e-05, 1.57303836e-05, 3.77291663e-05, 3.77372731e-05,\n -1.00629256e-05, -1.57359650e-05, -3.77361742e-05, -3.77519504e-05,\n 1.00401214e-05, 1.61670566e-05, 3.86830557e-05, 3.85933023e-05,\n -1.00701844e-05, -1.57581186e-05, -3.77581679e-05, -3.77799823e-05,\n 1.00496226e-05, 1.61459293e-05, 3.86017458e-05, 3.85136567e-05,\n -1.00601891e-05, -1.57301655e-05, -3.77225460e-05, -3.77155917e-05,\n 1.00873511e-05, 1.43741952e-05, 3.64060905e-05, 3.60296064e-05,\n -1.56230132e-05, 1.28313537e-05, -1.18363783e-05, -1.51134012e-05,\n -1.00609444e-05, -1.57328894e-05, -3.77315958e-05, -3.77403616e-05,\n 1.01042461e-05, 1.58264223e-05, 3.78581177e-05, 3.78534953e-05,\n 9.72084732e-06, 6.60544675e-06, -1.14224843e-05, 1.60556444e-06,\n -1.00601130e-05, -1.57305409e-05, -3.77295435e-05, -3.77376505e-05,\n -5.70726227e-01, 1.00000000e+00, -2.40448296e-11, 1.16467327e-07,\n 5.82089401e-07, 6.74962861e-07, -1.39400497e-06, -1.77418820e-06,\n -1.65102095e-06, 6.83808028e-07, 2.63627854e-06, 4.12579257e-06,\n 1.44464101e-07, 1.37297473e-07, 9.36099632e-08, -6.88674542e-07,\n -5.72249491e-07, -2.13100202e-07, 1.69958003e-06, -3.26006023e-06,\n -9.95132598e-07, -2.61736949e-05, -1.43362101e-05, -1.31166939e-05,\n 7.22134424e-07, -8.58161692e-11, -8.30807888e-06, -8.20545367e-06,\n -3.81803080e-06, -2.47781662e-06, -2.57820269e-06, -2.68319691e-06,\n -1.61286910e-06, -1.96865630e-07, 9.97370599e-08, -6.46401825e-10,\n -5.98422643e-07, -1.69786839e-10, 5.03247014e-08, -1.61528784e-11,\n 5.93580972e-08, -2.49617826e-09, 1.02447258e-05, 9.55667684e-07,\n 1.18406781e-05, 1.96051189e-07, -2.71343241e-05, -5.33487783e-06,\n -1.11106501e-06, -1.84274522e-06, -2.30944680e-06, 1.60267426e-06,\n 1.78531809e-06, 3.64226811e-07, -3.49267066e-10, -2.08578426e-06,\n -1.21046840e-05, -9.55855590e-07, -4.97314730e-09, -3.55959530e-06,\n -7.81499982e-06, -1.24947539e-06, 5.07592380e-11, -2.30803233e-07,\n -5.52837621e-05, -5.91204115e-05, -5.95175736e-05, -5.77166017e-05,\n -4.21116312e-05, -4.71899889e-05, -5.01822036e-05, -5.13586461e-05,\n -1.33681861e-05, -1.85494286e-05, -3.29962769e-05, -2.08021613e-05,\n -5.31343137e-06, -5.31343137e-06, -7.86339629e-06, -1.51439245e-05,\n -2.17546712e-05, -2.16042982e-05, -5.86130341e-06, -8.60430283e-06,\n -1.88099769e-05, -1.11174940e-05, -1.32321058e-05, -2.55740260e-05,\n -4.04525978e-05, -5.39717504e-05, -2.18175900e-07, -5.07479826e-06,\n -1.08210130e-05, -2.06062212e-05, -2.25399850e-06, 2.26670763e-07,\n 3.22349392e-07, 6.26873074e-07, 7.21982296e-08, 2.50144812e-06,\n -5.74153603e-06, -1.79964859e-06, 4.00925266e-06, 6.13861855e-06,\n 1.75562261e-06, 3.39700443e-06, 6.68789637e-06, 2.07314034e-06,\n -2.11336618e-06, -2.06448972e-07, 2.56130040e-06, 2.27718896e-06,\n -1.62218300e-06, 4.36154738e-07, 2.65941192e-06, 5.78606324e-05,\n -5.22719208e-07, 3.48615931e-06, -6.32859157e-07, 3.67050757e-06,\n -3.61320008e-06, -5.34834874e-06, 2.19184275e-06, -3.76629730e-06,\n 1.00921616e-06, -1.26791105e-06, -3.64528912e-06, -3.77165196e-06,\n 6.95719527e-07, -1.41186055e-06, -3.62285771e-06, -3.75718580e-06,\n 7.68862193e-07, -1.30880268e-06, -3.65480799e-06, -4.16761043e-06,\n 5.51776738e-07, -1.14480217e-06, -3.84990618e-06, -3.73904245e-06,\n 9.85057919e-07, -1.33739984e-06, -3.67561606e-06, -3.71796584e-06,\n 8.11929536e-07, -1.32313495e-06, -3.66313227e-06, -3.75917270e-06,\n 8.25371233e-07, -1.33750539e-06, -3.65647335e-06, -1.06736068e-06,\n -1.62727336e-06, 3.14884553e-06, 1.94527825e-06, 1.60466956e-06,\n 2.72918873e-06, 4.34214456e-06, 3.89859066e-06, 1.48919255e-06,\n 1.26759042e-06, 1.91771491e-06, -2.30751361e-07, 8.21124698e-06,\n 1.39717620e-05, 2.06652586e-05, 4.47175500e-05, -1.19243594e-05,\n -1.74781514e-06, -3.47006378e-07, 3.26487742e-05, 6.17074468e-05,\n 1.17817517e-04, 1.70771652e-04, 2.44671929e-04, -5.02901185e-07]), info=namespace(_pybind11_conduit_v1_=>, status='dual infeasible', status_val=5, status_polish=0, obj_val=-1e+30, prim_res=0.3551779211444211, dual_res=10141.770943711068, iter=150, rho_updates=0, rho_estimate=0.021236020870528803, setup_time=0.00189925, solve_time=0.00743225, update_time=0.0, polish_time=0.0, run_time=0.0093315))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2716, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "fffff800", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T08:51:06", + "solve_time": 0.04250001907348633, + "status": "OPTIMAL", + "primal_objective_value": 0.0, + "dual_objective_value": 555679.5648174956, + "duality_gap": -555679.5648174956, + 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Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 3359, + "solver_name": "matlab_sdpt3", + "solver_version": "SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a))", + "problem_library": "NETLIB", + "problem_name": "finnis", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770560.0 + }, + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205", + "timestamp": "2026-07-05T12:41:03", + "solve_time": 0.5819524166666666, + "status": 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1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464845e+04 1.61464845e+04\n 1.61464845e+04 1.61464845e+04 1.61464844e+04 1.61464844e+04\n 1.61464844e+04 1.61464844e+04 1.61464844e+04 1.61464844e+04\n 1.61464844e+04 1.61464844e+04 1.61464844e+04 1.61464844e+04\n 3.89517841e+13 1.61464845e+04 1.61919844e+04 3.13680802e+05\n 3.14725402e+05 3.14724577e+05 3.14724011e+05 3.14723650e+05\n 3.14723393e+05 1.61624844e+04 1.62294848e+04]", + "s": "[3.90503093e+08 3.87651102e+08 3.69814006e+08 3.94457140e+08\n 3.76373144e+08 3.94433551e+08 3.76348778e+08 3.94417335e+08\n 3.76332027e+08 3.94407017e+08 3.76321369e+08 3.94399647e+08\n 3.76313755e+08 3.92558067e+08 1.64154212e-01 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 4.00808005e+11\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 1.64154212e-01\n 1.64154212e-01 1.64154212e-01 1.64154212e-01 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 3.93689234e+08 3.93689234e+08 3.93689234e+08 3.93689234e+08\n 1.64154212e-01 3.93689234e+08 3.90503093e+08 1.78370898e+07\n 1.80839888e+07 1.80847666e+07 1.80853013e+07 1.80856416e+07\n 1.80858846e+07 3.92558067e+08 3.87946832e+08]", + "info": { + "exitFlag": 2, + "pcost": -924479238215.9592, + "dcost": -32.04395802918402, + "pres": 0.4068278425068653, + "dres": 0.1363092638424019, + "pinf": 0.0, + "dinf": 1.0, + "pinfres": NaN, + "dinfres": 1.0950988144939399e-09, + "gap": 0.00769988658193687, + "relgap": 8.328890756698821e-15, + "r0": 1e-08, + "iter": 6, + "mi_iter": -1, + "infostring": "Dual infeasible", + "timing": { + "runtime": 0.000253666, + "tsetup": 5.1291e-05, + "tsolve": 0.000202375 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2771, + "solver_name": "cvxpy_highs", + "solver_version": "cvxpy-1.6.5-HIGHS-1.11.0", + "problem_library": "NETLIB", + "problem_name": 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2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([-3.81217337e-02, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -5.25815972e-05, -3.83023955e-05,\n -3.83023934e-05, -3.83023920e-05, -3.83023911e-05, -3.83023905e-05,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -1.00000000e+00, -1.00000000e+00,\n -1.00000000e+00, -1.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.13337213e-16, 2.18607528e-07, -8.23108393e-08,\n -8.23066401e-08, -8.23038467e-08, -8.23020774e-08, -8.23008526e-08,\n 4.04399265e-17, -5.59135051e-10]), info=namespace(_pybind11_conduit_v1_=>, status='dual infeasible', status_val=5, status_polish=0, obj_val=-1e+30, prim_res=2.687094878197107e-07, dual_res=219120.00000000003, iter=75, rho_updates=1, rho_estimate=1e-06, setup_time=7.9833e-05, solve_time=0.000180625, update_time=0.0, polish_time=0.0, run_time=0.00026045800000000003))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2770, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "forplan", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:00", + "solve_time": 0.0049800872802734375, + "status": "UNBOUNDED", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "unbounded", + "cvxpy_value": Infinity, + "solver_stats": { + "solver_name": "SCIP" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2765, + "solver_name": "cvxpy_scs", + "solver_version": "cvxpy-1.6.5-SCS-3.2.7.post2", + "problem_library": "NETLIB", + "problem_name": "forplan", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:00:56", + "solve_time": 0.004140615463256836, + "status": "UNBOUNDED", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": 425, + "memo": { + "solver_solve_time": 0.0017050829999999998, + "original_status": { + "cvxpy_status": "unbounded", + "cvxpy_value": Infinity, + "solver_stats": { + "solve_time": 0.0017050829999999998, + "setup_time": 0.000107333, + "num_iters": 425, + "solver_name": "SCS", + "extra_stats": { + "x": "[-1.73025495e-05 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 1.18791172e-07 1.28046301e-07\n 1.28046301e-07 1.28046301e-07 1.28046301e-07 1.28046301e-07\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 -4.56787263e-04 -4.56787263e-04\n -4.56787263e-04 -4.56787263e-04 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 -1.47029810e-09 -1.00474653e-05 -1.00419238e-05\n -1.00419238e-05 -1.00419238e-05 -1.00419238e-05 -1.00419238e-05\n -5.17027903e-10 -1.89944196e-09]", + "y": "[nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan nan\n 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problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:18 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:18 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:18 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_clarabel\n2026-07-05 18:01:18 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_clarabel\n2026-07-05 18:01:18 - solver_cvxpy_clarabel - INFO - Initialized CVXPY solver 'cvxpy_clarabel' with backend 'CLARABEL'\n2026-07-05 18:01:18 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:18 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2786, + "solver_name": "cvxpy_cvxopt", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:21", + "solve_time": 0.5682611465454102, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:20 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:20 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:20 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:20 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_cvxopt\n2026-07-05 18:01:20 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_cvxopt\n2026-07-05 18:01:20 - solver_cvxpy_cvxopt - INFO - Initialized CVXPY solver 'cvxpy_cvxopt' with backend 'CVXOPT'\n2026-07-05 18:01:20 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:20 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2784, + "solver_name": "cvxpy_ecos", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:19", + "solve_time": 0.5855271816253662, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:19 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:19 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:19 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:19 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_ecos\n2026-07-05 18:01:19 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_ecos\n2026-07-05 18:01:19 - solver_cvxpy_ecos - INFO - Initialized CVXPY solver 'cvxpy_ecos' with backend 'ECOS'\n2026-07-05 18:01:19 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:19 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2789, + "solver_name": "cvxpy_highs", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:22", + "solve_time": 0.5864620208740234, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:22 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_highs\n2026-07-05 18:01:22 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_highs\n2026-07-05 18:01:22 - solver_cvxpy_highs - INFO - Initialized CVXPY solver 'cvxpy_highs' with backend 'HIGHS'\n2026-07-05 18:01:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2785, + "solver_name": "cvxpy_osqp", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:20", + "solve_time": 0.5246739387512207, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:20 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:20 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:20 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:20 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_osqp\n2026-07-05 18:01:20 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_osqp\n2026-07-05 18:01:20 - solver_cvxpy_osqp - INFO - Initialized CVXPY solver 'cvxpy_osqp' with backend 'OSQP'\n2026-07-05 18:01:20 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:20 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2788, + "solver_name": "cvxpy_scip", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:22", + "solve_time": 0.570828914642334, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:22 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:22 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:22 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:22 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_scip\n2026-07-05 18:01:22 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_scip\n2026-07-05 18:01:22 - solver_cvxpy_scip - INFO - Initialized CVXPY solver 'cvxpy_scip' with backend 'SCIP'\n2026-07-05 18:01:22 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:22 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2783, + "solver_name": "cvxpy_scs", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:19", + "solve_time": 0.6517829895019531, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:19 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:19 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:19 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:19 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_scs\n2026-07-05 18:01:19 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_scs\n2026-07-05 18:01:19 - solver_cvxpy_scs - INFO - Initialized CVXPY solver 'cvxpy_scs' with backend 'SCS'\n2026-07-05 18:01:19 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:19 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 2787, + "solver_name": "cvxpy_sdpa", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:01:21", + "solve_time": 0.659430980682373, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:01:21 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:01:21 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:01:21 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:01:21 - python_solver_runner - INFO - Subprocess solving gfrd_pnc with cvxpy_sdpa\n2026-07-05 18:01:21 - python_solver_runner - INFO - Solving gfrd_pnc with cvxpy_sdpa\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/cvxpy/problems/problem.py:1504: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n warnings.warn(\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/sdpap/sdpaputils.py:114: RuntimeWarning: k >= N - 1 for N * N square matrix. Attempting to use scipy.linalg.eig instead.\n eig = eigs(mat.toarray(), k=1, which='SM',\n2026-07-05 18:01:21 - solver_cvxpy_sdpa - INFO - Initialized CVXPY solver 'cvxpy_sdpa' with backend 'SDPA'\n2026-07-05 18:01:21 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/gfrd-pnc.mps\n2026-07-05 18:01:21 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem gfrd_pnc: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3373, + "solver_name": "matlab_sdpt3", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770560.0 + }, + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205", + "timestamp": "2026-07-05T12:42:19", + "solve_time": 4.492339849472046, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "Error: Index exceeds the number of array elements. Index must not exceed 3.; Original error: Index exceeds the number of array elements. Index must not exceed 3.", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3372, + "solver_name": "matlab_sedumi", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "gfrd_pnc", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770560.0 + }, + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205", + "timestamp": "2026-07-05T12:42:15", + "solve_time": 3.4723241329193115, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "Error: Index exceeds the number of array elements. Index must not exceed 3.; Original error: Index exceeds the number of array elements. 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7.06611939e-04 3.75000000e+05 2.50000000e+05 4.99999999e+05\n 4.54599985e+03 8.54724996e+04 5.94644997e+04 3.33284999e+04\n 1.53624999e+04 3.14540000e+04 1.70199997e+04 2.05904997e+04\n 1.47409998e+04 7.37724998e+04 1.90631000e+05 2.96049982e+03\n 8.66549883e+03 3.09654991e+04 1.65794998e+04 1.13194983e+04\n 5.52362998e+05]", + "s": "[9.32740083e-10 3.16701805e-09 9.72508162e-10 3.52819002e-08\n 6.08606929e-09 4.19789331e-09 1.13816664e-08 1.32933419e-08\n 4.41170773e-09 1.13815701e-08 1.00725701e-08 1.38639890e-08\n 1.61845989e-08 2.10892336e-09 2.67823851e-07 4.13621492e-08\n 7.43651950e-09 1.16123501e-08 1.87517857e-08 7.49170564e-10\n 4.22978130e+00 3.00000007e+00 6.90552072e-01 1.50034436e-09\n 3.83886508e-09 1.00995317e-09 1.82592556e-07 1.08825966e-08\n 1.03777057e-08 3.32190442e-08 5.28923906e-08 1.93381052e-08\n 3.32940653e-08 3.74321313e-08 6.59700501e-08 3.80177379e-08\n 7.72177428e-09 4.47186417e-07 8.75557585e-08 2.09253417e-08\n 3.48279474e-08 6.08462350e-08 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1.09500971e-09 4.25483189e-10\n 1.25104261e-09 3.40031872e-10 4.22978131e+00 3.20787768e+00\n 1.35894319e+00 4.93680949e+00 2.65070989e+00 3.35848719e+00\n 1.00439466e+01 7.05424770e+00 6.93938355e+01 2.71238150e+00\n 2.65445509e+00 3.92027580e+00 4.13538318e+00 4.49389222e+00\n 9.96954689e-01 8.50948513e-01 1.14676962e+00 9.23194672e-08\n 5.25440454e-01 8.91201732e-01 4.77848913e-09 5.21770306e-10\n 3.06368221e-10 4.24521774e-08 6.68625318e-09 2.28163267e-08\n 1.92152005e-08 2.17580465e-08 4.42546940e-09 1.42383209e-08\n 8.38747546e-09 1.68646865e-08 3.83250566e-08 1.81834819e-09\n 4.46876564e-07 7.12459891e-08 1.13393815e-08 8.34929136e-09\n 2.27146972e-08 7.84996835e-10 1.02047276e-08 6.02827680e-10\n 3.32527707e-10 9.99999913e-01 7.92122327e-01 3.31608847e-01\n 1.21035131e+00 6.32823508e-01 7.99329754e-01 2.37174416e+00\n 1.67691406e+00 1.62800537e+01 6.51232168e-01 6.57647231e-01\n 9.61998799e-01 9.86804778e-01 1.07056866e+00 2.42671854e-01\n 2.05479136e-01 2.77779389e-01 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2.57297774e-09 8.72400576e-10\n 9.62186923e-08 4.65840300e-09 6.22785552e-09 1.07751667e-08\n 2.80880940e-08 9.74094949e-09 2.64226636e-08 2.40720282e-08\n 2.93283429e-08 4.22981173e-09 1.82965172e-09 1.15783785e-07\n 5.12883906e-08 1.47655947e-08 3.91088012e-08 4.37485839e-08\n 7.75278441e-10 7.36480813e-08 2.10482155e-09 3.56081754e-09\n 4.87522664e-09 1.38605971e-08 6.15328372e+01 1.91351535e-08\n 1.64913079e-08 1.52640207e-08 2.00401828e-09 1.16341380e-09\n 4.78166422e-08 1.88472359e-08 7.49823933e-09 3.68549715e-08\n 2.20185340e-08 4.57285701e-10 4.23331425e-10 2.99999993e+00\n 3.30944792e+00 1.36051282e-09 1.22066079e-09 8.19418433e-10\n 1.02718266e-07 4.34507352e-09 8.99165103e-09 1.00899328e-08\n 2.65661193e-08 1.04412158e-08 2.96152310e-08 1.94347642e-08\n 2.65256529e-08 4.18314683e-09 1.72761373e-09 1.15267827e-07\n 4.94587440e-08 1.59998577e-08 2.41012095e-08 4.26777228e-08\n 7.37291424e-10 6.01871779e-08 1.98504174e-09 4.15612336e-09\n 4.61044305e-09 1.18599441e-08 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"timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:06:55", + "solve_time": 0.009865045547485352, + "status": "INFEASIBLE", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "solver_solve_time": 0.002215207, + "original_status": { + "cvxpy_status": "infeasible", + "cvxpy_value": -Infinity, + "solver_stats": { + "solve_time": 0.002215207, + "solver_name": "OSQP", + "extra_stats": "namespace(x=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 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2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 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2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1620,)), prim_inf_cert=array([1.00000000e+00, 9.99984193e-01, 0.00000000e+00, ...,\n 0.00000000e+00, 8.22796897e-05, 0.00000000e+00], shape=(1620,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 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3.37003305e-06, 8.63577598e-06, -4.48767507e-07, 9.73320991e-07,\n 8.93709150e-07, -1.26279883e-03, -3.49867826e-06, 7.07326548e-07,\n -5.76099530e-07, -4.73538990e-03, -4.63272871e-07, 8.44054966e-07,\n -1.21780072e-05, -5.18854145e-01, -7.82530511e-08, 5.34759142e-06,\n 3.98493800e-07, -1.32773002e-01, 1.27573903e-05, 5.29070543e-10,\n -5.67870349e-07, -2.46417334e-01, -2.46413295e-01, -3.86013451e+00,\n 1.53354031e-08, -6.21816663e-03, -2.18561451e-02, -1.69373273e-07,\n 3.83122198e-05, -3.24235493e-03, -2.15484635e-02, -1.10553517e-09,\n -2.15874090e-01, -1.39873086e-02, -2.18162200e-02, -5.16469113e-06,\n -2.54897787e-07, -1.00132807e-02, -1.32154854e-06, 1.39528233e-06,\n 4.45333903e-07, 2.56841434e-07, -4.39124853e-03, -2.31879500e-02,\n -4.06891262e-07, 6.09764760e-06, -3.39519263e-06, -1.34423280e-02,\n -8.34454204e-03, -8.85648101e-02, -2.74752802e-02, 9.83441135e-07,\n 2.76961402e-07, -3.19235077e-02, -1.00041638e-03, -5.55145017e-03,\n -1.52557667e-01, -1.01987663e-05, -4.41790151e-07, 4.10325038e-05,\n -2.14741918e-06, 7.75001017e-06, -1.76785234e-05, 7.26959591e-06,\n 1.06415844e-05, 9.42835328e-06, -1.14941431e-01, 2.05594561e-07,\n 1.15121107e-06, -3.28154832e-02, -1.77543845e-06, -1.36736586e-03,\n -6.07634686e-03, -8.26598407e-07, -2.15120203e-08, -1.22960828e+01,\n -1.46722327e-07, -3.55930809e+00, -7.20148942e-01, -4.61863985e-01,\n -6.87075414e-01, 1.22595775e-07, 1.09805314e-07, -3.82633254e-01,\n -8.77974737e-01, -5.02287499e-01, -4.49634939e-08, -4.08793993e-04,\n -1.52714165e-02, -3.55097165e-02, -2.87050975e-07, -1.30088004e-02,\n -5.39524334e-06, 1.50574105e-06, -9.24043202e-03, -3.86449457e-06,\n -2.61834550e-03, 4.77559449e-06, -1.17548489e-02, -7.76841371e-03,\n 1.66964575e-06, 2.18780053e-06, 8.70414974e-06, 4.14973785e-07,\n -4.95214367e-03, -8.46459144e-03, -2.16725781e-08, 2.08379946e-07,\n -9.65029449e-02, -7.95349675e-07, -6.58113086e-03, -1.18903613e-01,\n -1.65939386e-06, -9.41035086e-02, -5.45390337e-08, -6.69859096e-03,\n -3.64107164e-07, -8.41551075e-07, -8.81817248e-02, 7.94741085e-07,\n -6.54766658e-03, 7.04207190e-07, 2.97841497e-06, 1.82950632e-06,\n 6.14218677e-12, -3.03254561e-05, -9.89142880e-07, -2.43776678e-06,\n -2.83943699e-06, -2.64255790e-08, 3.12761557e-08, -2.79093427e-02,\n -1.15224778e-02, -3.29402754e-02, -2.79140963e-06, -3.41373680e-02,\n -5.16934009e-03, -7.40077885e-02, -2.44392079e-06, -1.05281021e-06,\n -6.94535172e-06, -2.18334227e-07, -4.11427168e-02, -1.89716129e-06,\n -3.56214447e-07, 7.55876800e-06, -8.73396585e-02, 1.68751431e-07,\n 2.95454241e-07, -1.04354503e-06, 8.81665213e-06, -8.73429064e-02,\n 1.15567492e-06, 1.98334816e-06, 2.92449173e-07, -1.31202739e-05,\n -4.07624895e-07, 5.19718253e-07, 5.36688789e-08, 3.43345835e-07,\n -5.80844652e-02, -4.88029973e-02, -1.28641881e-02, -1.97512808e-02,\n -1.89118472e-02, -2.63257074e-02, 6.98523457e-05, 3.90216891e-06,\n -3.96339371e-06, 1.32213261e-05, -2.27402741e-01, -9.07672310e-01,\n -7.41764542e-01, -3.15369058e-01, 1.73866444e-07, -1.80107895e-07,\n -2.95088537e+00, -2.36322654e+00, -3.39389663e+00, -3.23385529e+00,\n -2.96036115e+00, -3.10586498e+00, -3.07924484e+00, -3.15016324e+00,\n -2.67574565e+00]), y=array([3.10545651e+02, 2.57462060e+02, 2.01170325e-16, ...,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00], shape=(1876,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1876,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 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2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved inaccurate', status_val=2, status_polish=0, obj_val=-5502.135581378337, prim_res=0.0011013170577312843, dual_res=0.04548035790967973, iter=10000, rho_updates=1, rho_estimate=0.0230593853671933, setup_time=0.003516041, solve_time=0.922467875, update_time=0.0, polish_time=0.0, run_time=0.9259839160000001))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2500, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "netlib_25fv47", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": 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1.06870439e+03\n 1.06225204e+03 1.05715716e+03 1.05393358e+03 1.05208170e+03\n 1.05393362e+03 1.05719177e+03 1.06225201e+03 1.06863138e+03\n 1.07811420e+03 1.15918477e+03 1.15017008e+03 1.14371290e+03\n 1.13889540e+03 1.13491470e+03 1.13398841e+03 1.13491470e+03\n 1.13889541e+03 1.14371294e+03 1.14994556e+03 1.15918477e+03\n 1.24274335e+03 1.23373828e+03 1.22616181e+03 1.22134403e+03\n 1.21895023e+03 1.21774768e+03 1.21895020e+03 1.22134399e+03\n 1.22616180e+03 1.23364893e+03 1.24274340e+03 1.32733539e+03\n 1.31821618e+03 1.31205867e+03 1.30697180e+03 1.30417701e+03\n 1.30391201e+03 1.30417696e+03 1.30697177e+03 1.31205864e+03\n 1.31806075e+03 1.32733538e+03 1.41530657e+03 1.40591969e+03\n 1.39946247e+03 1.39410346e+03 1.39193359e+03 1.39060628e+03\n 1.39193357e+03 1.39410343e+03 1.39946248e+03 1.40600224e+03\n 1.41530651e+03 1.50479952e+03 1.49527704e+03 1.48924497e+03\n 1.48407956e+03 1.48053273e+03 1.47995515e+03 1.48053274e+03\n 1.48407956e+03 1.48924496e+03 1.49527702e+03 1.50479955e+03\n 1.59676001e+03 1.58732745e+03 1.58007400e+03 1.57489140e+03\n 1.57210112e+03 1.57045920e+03 1.57210116e+03 1.57489147e+03\n 1.58007402e+03 1.58726557e+03 1.59676001e+03 1.68940665e+03\n 1.67985138e+03 1.67335932e+03 1.66814753e+03 1.66481787e+03\n 1.66424715e+03 1.66481792e+03 1.66814755e+03 1.67335937e+03\n 1.68014952e+03 1.68940667e+03 1.78486529e+03 1.77557715e+03\n 1.76824188e+03 1.76300305e+03 1.76029356e+03 1.75917661e+03\n 1.76029355e+03 1.76300309e+03 1.76824192e+03 1.77561312e+03\n 1.78486537e+03 1.88147571e+03 1.87220763e+03 1.86584595e+03\n 1.86039244e+03 1.85736177e+03 1.85633993e+03 1.85736180e+03\n 1.86039243e+03 1.86584595e+03 1.87227353e+03 1.88147576e+03\n 1.98110754e+03 1.97175633e+03 1.96503710e+03 1.95966908e+03\n 1.95643880e+03 1.95554697e+03 1.95643880e+03 1.95966910e+03\n 1.96482520e+03 1.97154795e+03 1.98110754e+03 2.08210637e+03\n 2.07284924e+03 2.06606259e+03 2.06094229e+03 2.05785428e+03\n 2.05653767e+03 2.05785425e+03 2.06094230e+03 2.06588487e+03\n 2.07268746e+03 2.08180294e+03 2.18522658e+03 2.17620389e+03\n 2.16940333e+03 2.16440052e+03 2.16104115e+03 2.16016157e+03\n 2.16104116e+03 2.16440044e+03 2.16940330e+03 2.17599675e+03\n 2.18495565e+03 2.29053784e+03 2.28129591e+03 2.27439642e+03\n 2.26927652e+03 2.26670781e+03 2.26554464e+03 2.26670774e+03\n 2.26927648e+03 2.27435325e+03 2.28126804e+03 2.29053778e+03\n 2.39762658e+03 2.38816518e+03 2.38197426e+03 2.37684534e+03\n 2.37378001e+03 2.37325396e+03 2.37377997e+03 2.37684534e+03\n 2.38200526e+03 2.38823697e+03 2.39751220e+03 2.50727192e+03\n 2.49776719e+03 2.49122090e+03 2.48597086e+03 2.48339148e+03\n 2.48154618e+03 2.48339156e+03 2.48597082e+03 2.49103929e+03\n 2.49742541e+03 2.50716987e+03 2.61849952e+03 2.60907636e+03\n 2.60277322e+03 2.59733947e+03 2.59420617e+03 2.59339563e+03\n 2.59371588e+03 2.59765434e+03 2.60181458e+03 2.60899524e+03\n 2.61831689e+03 2.73215988e+03 2.72263949e+03 2.71566590e+03\n 2.71049481e+03 2.70729924e+03 2.70639705e+03 2.70764947e+03\n 2.70909872e+03 2.71451605e+03 2.72256922e+03 2.73023467e+03\n 2.84694792e+03 2.83766930e+03 2.82980067e+03 2.82587744e+03\n 2.82268570e+03 2.82155127e+03 2.82218980e+03 2.82550554e+03\n 2.83010555e+03 2.83608612e+03 2.84436174e+03 2.96281619e+03\n 2.95469250e+03 2.94815723e+03 2.94289314e+03 2.94014024e+03\n 2.93847670e+03 2.93940540e+03 2.94289314e+03 2.94704808e+03\n 2.95313630e+03 2.96047251e+03 3.08337854e+03 3.07417516e+03\n 3.06734897e+03 3.06236117e+03 3.05867483e+03 3.05799222e+03\n 3.05918178e+03 3.06137357e+03 3.06636462e+03 3.07269431e+03\n 3.07883981e+03 3.20417746e+03 3.19504953e+03 3.18688722e+03\n 3.18071664e+03 3.18020674e+03 3.17938922e+03 3.17976283e+03\n 3.18329934e+03 3.18768901e+03 3.18911924e+03 3.19519367e+03\n 3.32463721e+03 3.31653395e+03 3.31135231e+03 3.30496873e+03\n 3.30225645e+03 3.30197859e+03 3.30357375e+03 3.30654502e+03\n 3.30739774e+03 3.31201338e+03 3.31369215e+03 3.44378899e+03\n 3.44154268e+03 3.43362790e+03 3.43209524e+03 3.42679860e+03\n 3.42643550e+03 3.42876327e+03 3.43030332e+03 3.43035093e+03\n 3.43462319e+03 3.43512735e+03 3.56778765e+03 3.56704064e+03\n 3.56265905e+03 3.55817187e+03 3.55627183e+03 3.55335351e+03\n 3.55316771e+03 3.55256749e+03 3.55724948e+03 3.55312139e+03\n 3.55458487e+03 3.69021537e+03 3.68827892e+03 3.69314052e+03\n 3.68638306e+03 3.68282367e+03 3.68300935e+03 3.67715794e+03\n 3.67235689e+03 3.67483106e+03 3.67078264e+03 3.67132449e+03\n 3.80809230e+03 3.80787994e+03 3.81437435e+03 3.81943641e+03\n 3.81223079e+03 3.80352095e+03 3.79477281e+03 3.78678052e+03\n 3.78522236e+03 3.78520375e+03 3.78617732e+03 3.92349094e+03\n 3.92292678e+03 3.92066655e+03 3.91887187e+03 3.91723821e+03\n 1.47490800e+02 1.08667820e+02 5.53350858e+01 9.99999684e+00\n -1.66685855e+00 1.76465410e-06 1.66687748e+00 -1.00000082e+01\n -5.53351282e+01 -9.95366266e+01 -1.40412924e+02 1.55804645e+02\n 1.06668032e+02 5.73338326e+01 1.99999915e+01 1.66688238e+00\n -8.24039310e-06 -1.66687213e+00 -2.00000053e+01 -5.73338611e+01\n -1.05502531e+02 -1.50139796e+02 1.62893280e+02 1.12668913e+02\n 6.73338374e+01 2.99999854e+01 1.16668795e+01 1.31386224e-05\n -1.16668787e+01 -3.00000028e+01 -6.73338471e+01 -1.12668935e+02\n -1.57671129e+02 1.68829219e+02 1.16669360e+02 7.73338408e+01\n 3.99999857e+01 1.92009015e+01 1.68723074e-05 -1.95301667e+01\n -4.00000083e+01 -7.73338490e+01 -1.16669389e+02 -1.67671129e+02\n 1.77671109e+02 1.26669363e+02 8.73338456e+01 4.99999835e+01\n 2.33331051e+01 -3.45047922e-06 -2.33331043e+01 -5.00000050e+01\n -8.73338477e+01 -1.26669389e+02 -1.77671130e+02 1.87671114e+02\n 1.36669364e+02 9.73338392e+01 5.99999828e+01 2.61114448e+01\n -8.43297700e-06 -2.61114935e+01 -5.93958253e+01 -9.73338421e+01\n -1.36669388e+02 -1.87671125e+02 1.97671113e+02 1.46669363e+02\n 1.06916758e+02 6.92010866e+01 3.11118790e+01 -2.52250684e-05\n -3.11119142e+01 -6.92011163e+01 -1.06880591e+02 -1.46669387e+02\n -1.97671127e+02 2.07671116e+02 1.56669364e+02 1.16599209e+02\n 7.51120330e+01 3.75929602e+01 -2.77627584e-05 -3.68509510e+01\n -7.51120514e+01 -1.16642785e+02 -1.56669384e+02 -2.07671127e+02\n 2.17671119e+02 1.66669360e+02 1.24043608e+02 8.18697982e+01\n 4.19269494e+01 -1.83133148e-05 -4.19269830e+01 -8.21155514e+01\n -1.23994241e+02 -1.66669382e+02 -2.17671128e+02 2.27671122e+02\n 1.76669366e+02 1.29395214e+02 8.65951388e+01 4.33336968e+01\n -8.13505405e-06 -4.33337290e+01 -8.65951558e+01 -1.29395248e+02\n -1.76669385e+02 -2.27671130e+02 2.37671128e+02 1.86125548e+02\n 1.35002750e+02 8.95583461e+01 4.46681750e+01 -2.06541731e-05\n -4.46681933e+01 -8.95053337e+01 -1.35002772e+02 -1.86188142e+02\n -2.37671127e+02 2.47671133e+02 1.93195799e+02 1.40265618e+02\n 9.18665181e+01 4.61381466e+01 -1.53814849e-05 -4.61381628e+01\n -9.18665378e+01 -1.40271323e+02 -1.93159833e+02 -2.47671130e+02\n 2.57671134e+02 2.00168621e+02 1.46806713e+02 9.57429474e+01\n 4.71983254e+01 6.82914272e-07 -4.71983586e+01 -9.57429756e+01\n -1.46212696e+02 -2.00185949e+02 -2.57671128e+02 2.67671137e+02\n 2.08453659e+02 1.52756264e+02 9.94956576e+01 4.96047961e+01\n -1.11697533e-05 -4.96048036e+01 -9.94956745e+01 -1.52756285e+02\n -2.08473709e+02 -2.67671129e+02 2.77671139e+02 2.16897837e+02\n 1.58114056e+02 1.04282150e+02 5.22973294e+01 -3.99297944e-06\n -5.22973205e+01 -1.03784969e+02 -1.58114039e+02 -2.17004402e+02\n -2.77671126e+02 2.87671137e+02 2.25191405e+02 1.65178476e+02\n 1.08698364e+02 5.41373488e+01 2.56124733e-05 -5.41373575e+01\n -1.08698368e+02 -1.65178477e+02 -2.25255554e+02 -2.87671128e+02\n 2.97671135e+02 2.33694058e+02 1.71497608e+02 1.11959956e+02\n 5.64010713e+01 -4.44360838e-06 -5.64010280e+01 -1.11959955e+02\n -1.71486101e+02 -2.33626517e+02 -2.97671125e+02 3.07671129e+02\n 2.41687058e+02 1.77859468e+02 1.16511157e+02 5.78226064e+01\n 2.36327684e-05 -5.78225888e+01 -1.16519094e+02 -1.77859448e+02\n -2.41557713e+02 -3.07671124e+02 3.17671130e+02 2.49053446e+02\n 1.83807229e+02 1.20898397e+02 6.00546663e+01 1.43842510e-05\n -6.00546535e+01 -1.20874321e+02 -1.83807164e+02 -2.49089915e+02\n -3.17671120e+02 3.27671129e+02 2.57120445e+02 1.89611774e+02\n 1.25016347e+02 6.28328545e+01 -2.00319359e-05 -6.28328335e+01\n -1.25016312e+02 -1.89611738e+02 -2.57232735e+02 -3.27671121e+02\n 3.37671127e+02 2.64859879e+02 1.95325534e+02 1.29262031e+02\n 6.49616527e+01 1.00807027e-05 -6.49616634e+01 -1.29261966e+02\n -1.95325499e+02 -2.64904539e+02 -3.37671115e+02 3.47671124e+02\n 2.73156215e+02 2.01176923e+02 1.32983092e+02 6.64291954e+01\n 4.37664739e-06 -6.64291303e+01 -1.32983096e+02 -2.01176967e+02\n -2.73233927e+02 -3.47671115e+02 3.57671124e+02 2.81083742e+02\n 2.06998568e+02 1.36355500e+02 6.80214401e+01 5.12071038e-05\n -6.80214266e+01 -1.36355468e+02 -2.06998561e+02 -2.81042471e+02\n -3.57671118e+02 3.67671121e+02 2.88701079e+02 2.12642611e+02\n 1.40167263e+02 6.99263699e+01 2.46000624e-05 -6.99262914e+01\n -1.40167284e+02 -2.12642607e+02 -2.88701074e+02 -3.67671117e+02\n 3.77671121e+02 2.96661466e+02 2.19007372e+02 1.44284895e+02\n 7.21458601e+01 3.28931629e-05 -7.21458321e+01 -1.44284866e+02\n -2.19007354e+02 -2.96692375e+02 -3.77671117e+02 3.87671120e+02\n 3.05145974e+02 2.24660728e+02 1.48192122e+02 7.43585815e+01\n -2.89387789e-06 -7.43585634e+01 -1.48192090e+02 -2.24660682e+02\n -3.04996911e+02 -3.87671113e+02 3.97671117e+02 3.13263335e+02\n 2.31205024e+02 1.52543624e+02 7.60462372e+01 -3.25803416e-06\n -7.60462329e+01 -1.52543604e+02 -2.31204986e+02 -3.13245341e+02\n -3.97671114e+02 4.07671121e+02 3.21271416e+02 2.37149468e+02\n 1.56144958e+02 7.81850282e+01 8.30890672e-06 -7.81850362e+01\n -1.56144949e+02 -2.37149478e+02 -3.21238469e+02 -4.07671112e+02\n 4.17671115e+02 3.29226374e+02 2.43534142e+02 1.60492197e+02\n 8.00987349e+01 -2.90365455e-05 -8.00987248e+01 -1.60492181e+02\n -2.43640075e+02 -3.29330605e+02 -4.17671113e+02 4.27671121e+02\n 3.36985152e+02 2.49344726e+02 1.64602074e+02 8.23071304e+01\n -4.86624344e-06 -8.23071772e+01 -1.64602080e+02 -2.49433590e+02\n -3.37066039e+02 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"error_message": "Solver 'SDPA' failed. Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 3405, + "solver_name": "matlab_sdpt3", + "solver_version": "SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a))", + "problem_library": "NETLIB", + "problem_name": "pilot4", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770560.0 + }, + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205", + "timestamp": "2026-07-05T12:46:07", + "solve_time": 1.29803, + "status": "MAX_ITER", + 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"pcost": 266.2920000160695, + "dcost": 266.29200003650686, + "pres": 3.2847936371722345e-13, + "dres": 1.0812000701301106e-12, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": 0.852852674388207, + "dinfres": NaN, + "gap": 1.9643715680051724e-06, + "relgap": 7.376757723611187e-09, + "r0": 1e-08, + "iter": 12, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.000847458, + "tsetup": 7.4375e-05, + "tsolve": 0.000773083 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2960, + "solver_name": "cvxpy_highs", + "solver_version": "cvxpy-1.6.5-HIGHS-1.11.0", + "problem_library": "NETLIB", + "problem_name": "recipe", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:16:02", + "solve_time": 0.0030829906463623047, + "status": "OPTIMAL", + "primal_objective_value": -266.29200000000003, + "dual_objective_value": -266.292, + "duality_gap": -5.684341886080802e-14, + "primal_infeasibility": 0.0, + "dual_infeasibility": 2.021509786388096e-17, + "iterations": 24, + "memo": { + "solver_solve_time": 0.0006524994969367981, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -266.292, + "solver_stats": { + "solve_time": 0.0006524994969367981, + "num_iters": 24, + "solver_name": "HIGHS", + "extra_stats": "" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2956, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "recipe", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:15:59", + "solve_time": 0.005832195281982422, + "status": "OPTIMAL", + "primal_objective_value": -266.2929194510166, + "dual_objective_value": -266.2924300452022, + "duality_gap": -0.0004894058143918301, + "primal_infeasibility": 7.641065063317544e-08, + "dual_infeasibility": 2.1806826339916493e-07, + "iterations": 575, + "memo": { + "solver_solve_time": 0.003206332, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -266.2924300452022, + "solver_stats": { + "solve_time": 0.003206332, + "num_iters": 575, + "solver_name": "OSQP", + "extra_stats": "namespace(x=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.70103203e-01,\n -1.99999961e+00, -2.00000000e+00, -1.99999978e+00, -2.00000000e+00,\n -5.10802838e-01, -6.01596593e-01, -1.13411625e+00, -1.99999319e+00,\n -1.08838219e-02, -2.00000050e+00, 1.27050821e-01, -2.00199915e+00,\n -2.00200000e+00, -2.00199951e+00, -2.00068909e+00, 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2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=266.2924300452022, prim_res=4.008689601225786e-06, dual_res=0.00032267554932493073, iter=575, rho_updates=2, rho_estimate=0.2061554426538381, setup_time=0.000135333, solve_time=0.003024208, update_time=0.0, polish_time=4.6791e-05, run_time=0.003206332))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2959, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "recipe", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:16:01", + "solve_time": 0.00829005241394043, + "status": "OPTIMAL", + "primal_objective_value": -266.29200000000003, + "dual_objective_value": -266.2919999999999, + "duality_gap": -1.1368683772161603e-13, + "primal_infeasibility": 0.9991673847793755, + "dual_infeasibility": 2.383003884034962e-17, + "iterations": null, + "memo": { + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -266.2919999999999, + "solver_stats": { + "solver_name": "SCIP" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2954, + "solver_name": "cvxpy_scs", + "solver_version": "cvxpy-1.6.5-SCS-3.2.7.post2", + "problem_library": "NETLIB", + "problem_name": "recipe", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:15:58", + "solve_time": 0.011420965194702148, + "status": "OPTIMAL", + "primal_objective_value": -266.29173491928253, + "dual_objective_value": -266.29225188905303, + "duality_gap": 0.0005169697705014187, + "primal_infeasibility": 1.127538314502658e-07, + "dual_infeasibility": 2.810403493900943e-07, + "iterations": 1250, + "memo": { + "solver_solve_time": 0.009393916, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -266.29225188905303, + "solver_stats": { + "solve_time": 0.009393916, + "setup_time": 0.00019583300000000002, + "num_iters": 1250, + "solver_name": "SCS", + "extra_stats": { + "x": "[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 7.68551644e+02\n -2.00000031e+00 -2.00001227e+00 -1.99999967e+00 -2.00000261e+00\n 3.10849210e+02 -9.76375331e-01 -1.30037910e+00 -2.00000000e+00\n -8.39979765e+01 -2.00000045e+00 5.74678785e+02 -2.00200070e+00\n -2.00203415e+00 -2.00199925e+00 -2.00030902e+00 1.55086865e+02\n -9.74375330e-01 -9.83466466e-01 -1.99800000e+00 -1.35563718e+02\n -2.00200102e+00 3.80804017e+02 -2.00400109e+00 -2.00224651e+00\n -2.00399884e+00 -1.99831451e+00 -6.74744710e-01 -9.72375330e-01\n -6.66585270e-01 -1.99600001e+00 -1.87130484e+02 -2.00400159e+00\n 1.78365394e+02 -2.00600148e+00 -2.00245887e+00 -2.00599842e+00\n -1.99631999e+00 -1.56436358e+02 -9.74375329e-01 -3.49724556e-01\n -1.99400001e+00 -9.24150918e+03 -2.00600215e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 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4.36672136e+02 5.39511854e-08 5.68702178e+03 7.61813671e-08\n 1.21297822e+03 7.80928772e-08 1.46925618e+04 8.29677058e+02\n 6.53048658e-08 6.22317326e-08 4.36672136e+02 5.59517403e-08\n 1.45557378e+03 1.80000000e+03 2.40000000e+03 1.29596561e-05\n 7.14725564e+01 6.56314336e+02 5.45613275e-08 7.27786892e+02\n 6.56314336e+02 5.25557860e-08 5.68702189e+03 7.11537723e-08\n 1.21297811e+03 7.28823847e-08 1.51538104e+04 1.24699724e+03\n 6.15796475e-08 5.69761666e-08 6.56314336e+02 5.45603329e-08\n 1.45557379e+03 1.74751670e+03 2.39999994e+03 1.28495948e-05\n 8.80301226e-07 7.27786892e+02 5.42100237e-08 7.27786893e+02\n 7.27786892e+02 5.22045268e-08 5.68702185e+03 7.06407505e-08\n 1.21297815e+03 7.23888775e-08 1.54093310e+04 1.38279509e+03\n 6.11997941e-08 5.10828490e-08 7.27786892e+02 5.42091351e-08\n 1.67521599e+03 1.56989794e+03 2.39999994e+03 1.30887255e-05\n 1.06087246e-07 8.37607993e+02 5.38871480e-08 8.37607993e+02\n 8.37607993e+02 5.18815225e-08 5.71369274e+03 7.02017973e-08\n 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1.60000000e+03 6.14080000e+01 1.20332105e+03 4.99332280e-05\n 4.01183389e-05 3.04943837e-06 1.60000000e+03 6.57056000e+01\n 1.04369686e+03 4.97509265e-05 4.26733469e-05 4.39574285e-06\n 1.60000000e+03 7.66979200e+01 8.64339910e+02 5.68257331e-05\n 4.68399435e-05 9.15779990e-06 1.60000000e+03 8.65413440e+01\n 7.80782748e+02 5.61730342e-05 4.64341456e-05 7.83010673e+02\n 1.60000000e+03 9.89279008e+01 6.49345323e+02 5.35554005e-05\n 4.42298345e-05 2.56666999e+03 1.60000000e+03 1.12520203e+02\n 2.85181239e+02 5.38976478e-05 4.43219265e-05 2.56667000e+03\n 1.60000000e+03 1.28228092e+02 6.21817328e+01 5.52027418e-05\n 4.81683638e-05 2.56667000e+03 1.60000000e+03 1.46019766e+02\n 3.92277722e-05 4.34695425e-05 3.65636411e-05 2.56667000e+03\n 1.60000000e+03 1.66327882e+02 2.12591524e-08 1.12727101e-07\n 6.04865548e+02 2.56667000e+03 1.60000000e+03 9.25570769e+01\n 1.06322335e+01 5.61300085e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 7.79723440e-08 9.30320423e+00 4.93401633e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 7.31884622e-08\n 7.97417470e+00 4.42586378e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 7.23902197e-08 6.64514518e+00 3.94456062e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 7.43825036e-08\n 5.31611550e+00 3.59130305e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 7.92770896e-08 3.98708365e+00 4.58413860e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 8.80255570e-08\n 2.65804942e+00 7.04250797e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 1.02680328e-07 1.32901762e+00 8.10200135e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 1.27225074e-07\n 7.03204757e-07 3.03745368e-06 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 2.40902367e-07 5.24833012e+01 5.56430486e-05\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 2.19642200e+02\n 2.30102065e+02 5.61971521e-05 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 2.25222096e+02 5.87314003e+02 2.51647335e+02\n 1.19999999e+03 2.56667000e+03 1.60000000e+03 2.67476568e+02\n 1.07479092e+03 1.19208537e+03 1.19999999e+03 2.56667000e+03\n 1.60000000e+03 2.99844646e+02 2.28039989e+03 2.25546675e+02\n 3.49749339e+02 5.96522848e+01 1.76827249e+02 3.13605214e+02\n 4.67937279e+02 6.44358697e+02 8.45019719e+02 1.07369317e+03\n 7.29229585e+02 3.35847210e+02 4.12978159e+02 4.12978158e+02\n 4.12978158e+02 4.12978157e+02 4.12978146e+02 4.12978133e+02\n 4.12978145e+02 4.12978219e+02 4.12978110e+02 4.12978154e+02\n 3.86307256e+02 3.53613908e-05 2.03041796e-05]", + "s": "[5.26727364e+03 3.97552793e-08 4.02839976e-08 1.35494999e+01\n 3.98144321e-08 4.03383807e-08 4.42330919e-09 2.71022571e-09\n 5.98059986e-09 4.39782027e-09 2.39999993e+00 6.47999998e+00\n 9.18000002e+00 5.01202414e+03 3.96844504e-08 4.02839979e-08\n 1.71128342e-08 2.01098342e-08 2.92306841e-09 6.48945906e-09\n 4.36776998e+03 3.35043349e-08 3.39034287e-08 5.16450007e+00\n 3.35403508e-08 3.39367625e-08 1.96382987e-09 2.66142447e-09\n 1.72913745e-08 8.81055711e-09 1.04067699e-08 5.88000001e+00\n 9.78000002e+00 4.12090548e+03 3.34083648e-08 3.39034289e-08\n 1.52406215e-08 1.27164414e-08 2.80032994e-09 5.98853990e-09\n 3.58527445e+03 2.98833875e-08 3.03860131e-08 1.81950003e+00\n 2.99192286e-08 3.04185172e-08 2.09053197e-09 2.65309983e-09\n 1.71633567e-08 7.32732849e-09 5.47606540e-09 5.28000000e+00\n 1.03800000e+01 3.34175495e+03 2.97836330e-08 3.03860132e-08\n 1.32984074e-08 1.06037225e-08 2.72455608e-09 5.60820689e-09\n 2.90002736e+03 2.60832105e-08 5.07333998e-01 3.27976808e-08\n 2.61129223e-08 5.10831857e-01 1.87699500e-09 2.66069867e-09\n 1.65300957e-08 1.44164574e-08 4.61052177e-09 4.68000012e+00\n 1.09800000e+01 2.65985286e+03 2.61118637e-08 5.07334007e-01\n 1.16807539e-08 8.31606669e-09 2.72569447e-09 5.66260565e-09\n 2.30074923e+03 2.29911623e-08 1.61772158e+00 3.20195033e-08\n 2.30183289e-08 1.63505679e+00 1.97426755e-09 2.67678604e-09\n 1.36851142e-08 1.24419586e-08 3.33258740e-09 4.08000003e+00\n 1.15800000e+01 2.06391973e+03 2.29608471e-08 1.61772166e+00\n 1.02735035e-08 6.79259663e-09 2.69092194e-09 5.45154863e-09\n 1.77561143e+03 2.01787567e-08 2.72799173e+00 2.37986976e-08\n 2.02034887e-08 2.75951639e+00 2.12205359e-09 2.56903154e-09\n 1.20404826e-08 1.08530762e-08 2.40898775e-09 3.48000002e+00\n 1.21800000e+01 1.54212693e+03 2.02457769e-08 2.72799194e+00\n 9.03147218e-09 6.32085807e-09 2.68139211e-09 5.49372354e-09\n 1.31861509e+03 1.77688353e-08 3.84007951e+00 1.90612279e-08\n 1.77922489e-08 3.88034068e+00 1.65346381e-09 4.57454916e-09\n 1.08121063e-08 9.71549738e-09 1.29005775e-09 2.88000001e+00\n 1.27800000e+01 1.08847559e+03 1.77711175e-08 3.84007988e+00\n 7.96504108e-09 5.48058978e-09 2.69864304e-09 5.58728667e-09\n 9.14501380e+02 1.56223547e-08 4.95348388e+00 1.61998356e-08\n 1.56441147e-08 4.99853179e+00 1.19109299e-09 6.00000010e-01\n 9.33451472e-09 8.61575901e-09 7.51230982e-10 2.28000000e+00\n 1.33800000e+01 6.87706880e+02 1.56526826e-08 4.95348443e+00\n 7.01009735e-09 4.16126159e-09 2.68816455e-09 5.63988517e-09\n 5.72634874e+02 1.37677221e-08 6.07030255e+00 1.40106723e-08\n 1.37885963e-08 6.10989468e+00 1.27228115e-09 1.20000002e+00\n 8.07452302e-09 8.15976273e-09 6.71248595e-10 1.67999999e+00\n 1.39800000e+01 3.49185374e+02 1.38303071e-08 6.07030297e+00\n 6.17316506e-09 3.66704082e-09 2.64729853e-09 5.53648884e-09\n 2.49387569e+02 1.21376698e-08 7.20662872e+00 1.22567312e-08\n 1.21575730e-08 7.20674235e+00 1.35085585e-09 1.80000005e+00\n 7.54845329e-09 8.72327681e-09 5.94672200e-10 1.07999996e+00\n 1.45800001e+01 2.93075689e+01 1.21890553e-08 7.20662900e+00\n 5.44983707e-09 3.58877775e-09 2.74548567e-09 5.83035439e-09\n 2.46061521e+01 1.06855986e-08 7.16631433e+01 1.07034236e-08\n 1.07026512e-08 7.37663213e+01 1.26391122e-09 2.40999996e+00\n 6.44808321e-09 1.12438054e-08 5.28304452e-10 4.70000051e-01\n 1.51900000e+01 5.63431760e-08 1.30831562e-08 7.16643834e+01\n 4.80979003e-09 3.62157646e-09 2.75374026e-09 1.33245037e-08\n 2.63865397e-08 1.44533615e-08 1.03921994e+02 9.42187011e-09\n 1.44743029e-08 1.08394735e+02 1.16572732e-09 8.14171829e+01\n 5.66528215e-09 7.85371829e+01 4.83829196e-10 4.20748853e-08\n 9.41971829e+01 7.45406473e+01 1.46415554e-08 1.03923918e+02\n 4.57294520e-09 3.65978325e-09 2.75969522e-09 4.69999968e-01\n 2.27680811e-08 1.44715154e-08 1.04636980e+02 8.92104411e-09\n 1.44924604e-08 1.09170174e+02 1.18046972e-09 8.20171830e+01\n 5.33300447e-09 7.91371830e+01 4.66001758e-10 7.64308557e-09\n 9.47971830e+01 7.67456478e+01 1.46510939e-08 1.04638493e+02\n 4.56688784e-09 3.65628361e-09 2.74845850e-09 4.70000005e-01\n 2.25343443e-08 1.44946676e-08 1.05353146e+02 8.90705570e-09\n 1.45159881e-08 1.09943250e+02 1.18069706e-09 8.26171831e+01\n 5.31375753e-09 7.97371831e+01 4.65386635e-10 7.64917289e-09\n 9.53971831e+01 7.89506483e+01 1.46502842e-08 1.05354252e+02\n 4.56409267e-09 3.65383953e-09 2.73591660e-09 4.70000005e-01\n 2.24324740e-08 1.45079830e-08 1.06070266e+02 8.89935081e-09\n 1.45295719e-08 1.10714444e+02 1.18058775e-09 8.32171832e+01\n 5.30001114e-09 8.03371832e+01 4.65127451e-10 7.65397058e-09\n 9.59971832e+01 8.11556488e+01 1.46455049e-08 1.06070939e+02\n 4.56192224e-09 3.65151620e-09 2.72257939e-09 4.70000005e-01\n 2.23765415e-08 1.45145517e-08 1.06787766e+02 8.89319106e-09\n 1.45363396e-08 1.11484940e+02 1.17993420e-09 8.38171834e+01\n 5.29316069e-09 8.09371834e+01 4.64971779e-10 7.65697600e-09\n 9.65971834e+01 8.33606494e+01 1.46380232e-08 1.06787943e+02\n 4.55964421e-09 3.64929264e-09 2.70987068e-09 4.70000005e-01\n 2.23436205e-08 1.45162236e-08 1.07505468e+02 8.88696956e-09\n 1.45381822e-08 1.12255113e+02 1.17851015e-09 8.44171836e+01\n 5.29840904e-09 8.15371836e+01 4.64921814e-10 7.65777627e-09\n 9.71971836e+01 8.55656501e+01 1.46278260e-08 1.07505069e+02\n 4.55695862e-09 3.64685805e-09 2.70021617e-09 4.70000005e-01\n 2.23254531e-08 1.45138145e-08 1.08223326e+02 8.87971371e-09\n 1.45359696e-08 1.13025187e+02 1.17474950e-09 8.50171837e+01\n 5.34783360e-09 8.21371837e+01 4.65061696e-10 7.65469028e-09\n 9.77971837e+01 8.77706508e+01 1.46143005e-08 1.08222137e+02\n 4.55359822e-09 3.64114740e-09 2.70630465e-09 4.70000005e-01\n 2.23153165e-08 1.45088992e-08 1.08941449e+02 8.87036293e-09\n 1.45314167e-08 1.13796463e+02 1.17384108e-09 8.56171839e+01\n 5.33260886e-09 8.27371839e+01 4.65497964e-10 7.64106779e-09\n 9.83971839e+01 8.99756526e+01 1.45979487e-08 1.08937741e+02\n 4.54935462e-09 3.63961135e-09 2.70880077e-09 4.70000005e-01\n 2.22608188e-08 1.45159838e-08 1.12734428e+02 8.85758533e-09\n 1.45397408e-08 1.17908361e+02 1.17080970e-09 8.62171846e+01\n 5.35213233e-09 8.33371846e+01 4.66411335e-10 7.59512574e-09\n 9.89971846e+01 1.01677403e+02 1.45961443e-08 1.12734614e+02\n 4.54521421e-09 3.64059272e-09 2.72426966e-09 4.70000003e-01\n 8.09331600e-08 8.66033860e-09 1.14985235e+02 8.84093335e-09\n 8.64182668e-09 1.20360189e+02 1.17096856e-09 9.06934090e+01\n 5.29700453e-09 8.78134090e+01 4.47012655e-10 4.82341586e-09\n 1.03473409e+02 1.08630778e+02 8.64178380e-09 1.14985355e+02\n 4.54755670e-09 3.79065414e-09 2.72139371e-09 4.70000005e-01\n 1.37456189e+01 9.22435796e-09 1.15689467e+02 8.82592195e-09\n 9.24279658e-09 1.21156746e+02 1.15803173e-09 9.12934090e+01\n 5.47355172e-09 8.84134090e+01 4.53305010e-10 4.84154590e-09\n 1.04073409e+02 1.24581397e+02 9.30452739e-09 1.15689565e+02\n 3.75301755e-09 4.22921340e-09 2.79423801e-09 4.70000005e-01\n 6.03597060e+01 7.45972304e-09 1.16372269e+02 7.42875928e-09\n 7.46630883e-09 1.21996149e+02 1.15986407e-09 9.18934090e+01\n 5.42049598e-09 8.90134090e+01 3.64205160e-10 3.99537215e-09\n 1.04673409e+02 1.73400484e+02 7.48741885e-09 1.16372360e+02\n 3.51296233e-09 5.49022971e-09 3.26929260e-09 4.70000005e-01\n 2.80542219e+01 6.94031763e-09 1.16996038e+02 6.89471615e-09\n 6.95652959e-09 1.22953605e+02 1.08373798e-09 9.24934090e+01\n 8.07930325e-09 8.94814090e+01 3.53372230e-10 3.63900927e-09\n 1.05273409e+02 1.43300000e+02 6.95652955e-09 1.16996135e+02\n 3.02262634e-09 9.09488454e-09 5.52267577e-09 4.70000005e-01\n 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1.86004601e-09 1.56600000e+01\n 1.29319662e-09 2.20879681e+03 5.95301063e-09 5.99887171e-09\n 2.67100962e-09 6.50000053e-01 4.68800715e-10 1.03199592e-09\n 1.91610034e+03 5.31118573e-09 5.34136546e-09 5.70677501e+01\n 5.31332927e-09 5.34376987e-09 3.43778006e-10 4.41969483e-10\n 4.18122818e-09 1.31550309e-09 9.67293261e-10 1.51900000e+01\n 4.69999990e-01 1.61733259e+03 5.30735362e-09 5.34136545e-09\n 2.33089536e-09 9.68901320e-09 5.04015752e-10 9.75983497e-10\n 1.36404591e+03 4.63584930e-09 4.65365367e-09 5.37227501e+01\n 4.63765170e-09 4.65496071e-09 3.25878181e-10 4.40931586e-10\n 1.31999951e-01 1.26877877e-09 5.95085011e-10 1.45900000e+01\n 1.06999999e+00 1.06862316e+03 4.63599346e-09 4.65365366e-09\n 2.04986702e-09 5.31287450e-09 6.15108189e-10 9.96716708e-10\n 9.56548667e+02 4.07932991e-09 4.09077376e-09 5.06247501e+01\n 4.08082541e-09 4.09105216e-09 3.19786150e-10 4.39984027e-10\n 1.33999976e-01 1.39496766e-09 4.20680108e-10 1.41200000e+01\n 1.66999999e+00 6.64223917e+02 4.07992594e-09 4.09077375e-09\n 1.79588663e-09 4.71070906e-09 8.47022541e-10 1.22400746e-09\n 4.32526750e+02 3.57967431e-09 3.58818993e-09 4.75267500e+01\n 3.58114677e-09 3.58773044e-09 3.20340505e-10 4.39514346e-10\n 1.35999978e-01 1.40770630e-09 3.14231248e-10 1.36500000e+01\n 2.26999999e+00 1.43300000e+02 3.58463091e-09 3.58818993e-09\n 1.57576624e-09 6.51899400e-09 1.54698558e-09 2.01283453e-09\n 3.23194250e+02 3.14522519e-09 3.14855422e-09 8.14942500e+01\n 3.14686975e-09 3.14968526e-09 3.21882073e-10 4.39284331e-10\n 1.37999979e-01 1.42960943e-09 2.44318200e-10 1.31800000e+01\n 2.86999999e+00 3.14480556e-09 5.18700000e+02 3.14855422e-09\n 1.38444619e-09 6.09499999e+01 7.95833336e+00 9.79000001e+00\n 1.75991855e-08 4.69999987e-01 6.20523219e-10 1.66663126e-03\n 2.15261997e-09 1.27800000e+01 1.50907197e-09 2.43453203e-08\n 6.26113413e-10 1.66663159e-03 1.47096018e-08 1.23100000e+01\n 6.92641213e-10 1.80887129e-08 6.76562458e-10 4.23318139e-08\n 1.29999981e-01 1.17100000e+01 7.27868895e-10 1.68902729e-08\n 7.15652750e-10 2.21296175e-09 2.95889373e-08 1.11100000e+01\n 7.27140179e-10 1.45041801e-08 7.25180139e-10 1.09279812e-09\n 4.22105266e-09 1.05100000e+01 7.25424176e-10 1.28534986e-08\n 6.94498554e-10 6.84506887e-10 1.81620930e-09 9.91000002e+00\n 7.29454822e-10 1.13174121e-08 9.00094779e-10 2.80386326e-09\n 3.79297099e-09 1.26390890e-08 1.29999984e-01 2.59999980e-01\n 3.89999979e-01]", + "info": { + "exitFlag": 0, + "pcost": 2331389.824306036, + "dcost": 2331389.8243213478, + "pres": 1.4664835704452173e-12, + "dres": 1.2373596652099633e-12, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": 1.4432359753664488, + "dinfres": NaN, + "gap": 0.0002748247196169434, + "relgap": 1.1788020894229608e-10, + "r0": 1e-08, + "iter": 15, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.0006187079999999999, + "tsetup": 6.925e-05, + "tsolve": 0.000549458 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 2996, + "solver_name": "cvxpy_highs", + "solver_version": "cvxpy-1.6.5-HIGHS-1.11.0", + "problem_library": "NETLIB", + "problem_name": "scagr7", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:16:23", + "solve_time": 0.0033130645751953125, + "status": "OPTIMAL", + "primal_objective_value": -2331389.8243309837, + "dual_objective_value": -2331389.8243309837, + "duality_gap": 0.0, + "primal_infeasibility": 1.040625938816703e-16, + "dual_infeasibility": 8.822992980758963e-20, + "iterations": 102, + "memo": { + "solver_solve_time": 0.0010103732347488403, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -2331389.8243309837, + "solver_stats": { + "solve_time": 0.0010103732347488403, + "num_iters": 102, + "solver_name": "HIGHS", + "extra_stats": "" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2992, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "scagr7", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:16:21", + "solve_time": 0.03087902069091797, + "status": "OPTIMAL", + "primal_objective_value": -2331247.4958588285, + "dual_objective_value": -2331243.4334578174, + "duality_gap": -4.062401011120528, + "primal_infeasibility": 1.0790297995187856e-06, + "dual_infeasibility": 1.037936202679792e-08, + "iterations": 9400, + "memo": { + "solver_solve_time": 0.028575541, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -2331243.4334578174, + "solver_stats": { + "solve_time": 0.028575541, + "num_iters": 9400, + "solver_name": "OSQP", + "extra_stats": "namespace(x=array([-3.25221144e+03, -1.15825063e+02, 3.31283671e+03, 1.76450248e+02,\n 6.23104939e+00, 3.73945401e-01, 3.36599311e+03, 2.29606489e+02,\n 4.19785138e+03, 4.08642685e+01, 5.30471799e+00, 6.46547502e+00,\n -2.53876424e+03, -9.43143825e+01, 2.60313152e+03, 1.58681601e+02,\n 1.50000356e+01, -5.29248295e-02, 2.67258656e+03, 2.28136534e+02,\n 3.41338678e+03, 4.38642165e+01, 5.69457202e+00, 6.93435792e+00,\n -1.94590565e+03, -9.11581986e+01, 2.01052216e+03, 1.55774584e+02,\n 1.50002378e+01, -6.29526923e-01, 2.08140999e+03, 2.26662226e+02,\n 2.72145018e+03, 4.68639326e+01, 6.11244236e+00, 7.43252052e+00,\n -1.39528345e+03, -8.76549508e+01, 1.46024029e+03, 1.52611678e+02,\n 1.50004198e+01, -1.26059872e+00, 1.53281812e+03, 2.25189332e+02,\n 2.13174799e+03, 4.98725380e+01, 6.50721778e+00, 8.11280468e+00,\n -9.89129323e+02, -8.45326829e+01, 1.05432659e+03, 1.49729840e+02,\n 1.50006384e+01, -1.85556876e+00, 1.12831396e+03, 2.23717037e+02,\n 1.58462902e+03, 5.28779701e+01, 6.90136916e+00, 8.59330203e+00,\n -4.66414617e+02, -8.14158241e+01, 5.31851079e+02, 1.46852287e+02,\n 1.50009465e+01, -2.45639760e+00, 6.07244337e+02, 2.22245546e+02,\n 1.18159714e+03, 5.58821591e+01, 7.29460531e+00, 9.07134815e+00,\n -3.57531014e+02, -1.15831016e+02, 4.23205138e+02, 1.81505140e+02,\n 1.50012841e+01, -3.05686380e+00, 4.99999427e+02, 2.58299429e+02,\n 6.61998790e+02, 5.88845463e+01, 7.68645836e+00, 9.54607854e+00,\n -2.23528240e-04, -3.73896041e-01, 2.58749684e-05, 7.29988095e-05,\n 5.58558448e-04, -1.27271379e+01, 2.64624114e-02, 1.87724264e-04,\n 1.42169076e-04, -1.39351571e-02, -1.40812667e-02, -1.21508420e+01,\n 1.09903157e-05, 1.23415454e-04, -4.30280301e-03, -2.38771540e-03,\n -2.10307884e-01, -1.15200363e+01, 6.25430421e-06, 1.64177145e-04,\n -2.71605582e-03, -2.07568452e-03, -5.24868711e-03, -1.09253895e+01,\n 4.05405393e-06, 2.50356210e-04, -2.09453079e-03, -1.61807163e-03,\n -4.02307804e-03, -1.03250235e+01, 2.47268596e-06, 2.52500000e-04,\n -1.19357705e-03, -9.26523267e-04, -2.36521338e-03, -9.72506484e+00,\n -1.85621154e-06, 1.15812432e-04, 3.20178225e-04, -2.65533421e-02,\n 2.32363987e-02, -6.10267127e-03, 1.02231327e-01, 2.24990657e-01,\n 3.50700810e-01]), y=array([-8.54100873e-15, 1.57986412e+02, 1.57996523e+02, 3.79437159e-15,\n 1.57986330e+02, 1.57996505e+02, 4.82173505e-16, 2.50434883e+03,\n 1.35875594e+03, 1.43689597e+03, 0.00000000e+00, 3.77991956e-18,\n 1.59999944e+03, 0.00000000e+00, 1.57976161e+02, 1.57996499e+02,\n 3.75199991e+02, 1.47041806e+01, 2.31450713e+03, 9.86529224e+02,\n 0.00000000e+00, 1.87591988e+02, 1.87597688e+02, -6.94225404e-16,\n 1.87591940e+02, 1.87597675e+02, 2.21080939e+03, 2.56666969e+03,\n 3.74023402e+02, 8.98390188e+02, 5.86429325e+02, 0.00000000e+00,\n 8.50107339e+02, 2.96766387e-14, 1.87586214e+02, 1.87597669e+02,\n 4.20616091e+02, 1.06682317e-03, 2.38813523e+03, 1.17205971e+03,\n 8.02568173e-14, 2.10302311e+02, 2.10305519e+02, -2.29817259e-15,\n 2.10302277e+02, 2.10305505e+02, 3.17494956e+03, 2.56666960e+03,\n 3.31287407e+02, 8.27093872e+02, 1.13350492e+03, 3.54540530e-17,\n 1.49084034e-18, 0.00000000e+00, 2.10299000e+02, 2.10305499e+02,\n 4.82017442e+02, 1.12554185e+02, 2.36506403e+03, 1.19999945e+03,\n 4.98574028e-14, 2.41005937e+02, 2.41007438e+02, 1.49619900e-15,\n 2.41005919e+02, 2.41007430e+02, 3.43970677e+03, 2.56666977e+03,\n 4.03148538e-16, 8.93623423e+02, 1.85651767e+03, 7.20771603e-17,\n 0.00000000e+00, 0.00000000e+00, 2.41004403e+02, 2.41007425e+02,\n 5.47711189e+02, 2.06374715e+02, 1.88304691e+03, 1.17779749e+03,\n 0.00000000e+00, 2.73854590e+02, 2.73854784e+02, -2.29817259e-15,\n 2.73854583e+02, 2.73854779e+02, 3.53333124e+03, 2.56666966e+03,\n -4.05649460e-16, 7.99998936e+02, 2.63621985e+03, 0.00000000e+00,\n 2.38534454e-17, -4.61966885e-15, 2.73854388e+02, 2.73854774e+02,\n 6.24402226e+02, 2.35947383e+02, 1.33533633e+03, 9.37148343e+02,\n 1.63546245e-14, 3.12200744e+02, 3.12200727e+02, -3.68662340e-15,\n 3.12200740e+02, 3.12200723e+02, 3.53333146e+03, 2.56666964e+03,\n 1.92070768e-16, 7.99998640e+02, 3.54356785e+03, 0.00000000e+00,\n 8.17144934e-17, 0.00000000e+00, 3.12200763e+02, 3.12200718e+02,\n 7.10935945e+02, 1.71592498e+02, 7.10934835e+02, 5.50783679e+02,\n 1.71812219e-14, 3.55468635e+02, 3.55468635e+02, -5.98479599e-15,\n 3.55468637e+02, 3.55468638e+02, 3.53333157e+03, 2.56666963e+03,\n -3.98480152e-16, 7.99998458e+02, 4.56859953e+03, -1.07871280e-17,\n -1.40268656e-16, 3.55468650e+02, 0.00000000e+00, 3.55468638e+02,\n 8.09855925e+02, -2.99239800e-15, 0.00000000e+00, 0.00000000e+00,\n 6.23211737e+01, 0.00000000e+00, 1.78529582e+03, 8.54928652e+01,\n 2.13470776e+02, -7.48099499e-16, 7.49892660e+02, 4.54161004e+01,\n 1.79999893e+03, 1.18647710e+01, 2.79402890e+01, -6.53715947e-16,\n 1.60000044e+03, 6.14013507e+01, 1.68744581e+03, 3.49359703e+01,\n 1.82641479e-19, 0.00000000e+00, 1.60000023e+03, 6.56937466e+01,\n 1.59362528e+03, 5.16953087e+02, 2.22025143e+01, 0.00000000e+00,\n 1.60000034e+03, 7.66910372e+01, 1.56405262e+03, 1.06466367e+03,\n 2.62851656e+02, 0.00000000e+00, 1.60000034e+03, 8.65337190e+01,\n 1.62840750e+03, 1.68906516e+03, 6.49216320e+02, -1.62480690e-17,\n 1.60000034e+03, 9.89199800e+01, 1.99565192e+03, 4.72413589e+02,\n 3.58381279e+02, 9.36236928e+01, 0.00000000e+00, 0.00000000e+00,\n 1.30449637e-17]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=2331243.433457816, prim_res=0.026553342061785352, dual_res=0.01358823522360983, iter=9400, rho_updates=3, rho_estimate=0.0003182147314886968, setup_time=0.000103875, solve_time=0.028376833, update_time=0.0, polish_time=9.4833e-05, run_time=0.028575541))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2995, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "scagr7", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:16:23", + "solve_time": 0.0069158077239990234, + "status": "OPTIMAL", + "primal_objective_value": -2276726.329468584, + "dual_objective_value": -2331389.8243309837, + "duality_gap": 54663.49486239953, + "primal_infeasibility": 0.4236561646826832, + "dual_infeasibility": 9.789749014396557e-20, + "iterations": null, + "memo": { + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -2331389.8243309837, + "solver_stats": { + "solver_name": "SCIP" + } + }, + "problem_class": "LP" + } + }, + { + "id": 2990, + "solver_name": "cvxpy_scs", + "solver_version": "cvxpy-1.6.5-SCS-3.2.7.post2", + "problem_library": "NETLIB", + "problem_name": "scagr7", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:16:20", + "solve_time": 0.2089691162109375, + "status": "OPTIMAL", + "primal_objective_value": -2331390.653844058, + "dual_objective_value": -2331382.055918739, + "duality_gap": -8.597925318870693, + "primal_infeasibility": 5.25134190351433e-07, + "dual_infeasibility": 8.44978673034001e-09, + "iterations": 43525, + "memo": { + "solver_solve_time": 0.206911, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": -2331382.055918739, + "solver_stats": { + "solve_time": 0.206911, + "setup_time": 0.000145833, + "num_iters": 43525, + "solver_name": "SCS", + "extra_stats": { + "x": "[-3.26725648e+03 -1.16895818e+02 3.32770664e+03 1.77346363e+02\n 6.06641080e+00 6.17564118e-01 3.38017511e+03 2.29815596e+02\n 4.21460898e+03 4.04448036e+01 5.12469887e+00 6.24848253e+00\n -2.55063940e+03 -9.55979192e+01 2.61490931e+03 1.59867790e+02\n 1.49998976e+01 4.33833533e-02 2.68398759e+03 2.28946005e+02\n 3.42735874e+03 4.34380542e+01 5.53604974e+00 6.74036770e+00\n -1.95504082e+03 -9.28410723e+01 2.01953564e+03 1.57335551e+02\n 1.49991574e+01 -3.32469294e-01 2.08967847e+03 2.27477828e+02\n 2.73204159e+03 4.52134796e+01 5.90795561e+00 7.19123979e+00\n -1.40182028e+03 -8.95375458e+01 1.46660463e+03 1.54321527e+02\n 1.49992742e+01 -9.24311674e-01 1.53829217e+03 2.26008452e+02\n 2.13920107e+03 4.82104669e+01 6.29384197e+00 7.76964561e+00\n -9.93272066e+02 -8.64251956e+01 1.05829538e+03 1.51448062e+02\n 1.49994339e+01 -1.52171793e+00 1.13138632e+03 2.24538260e+02\n 1.58928427e+03 5.12086449e+01 6.68135656e+00 8.24685091e+00\n -4.68311365e+02 -8.33115329e+01 5.33573237e+02 1.48573399e+02\n 1.49997416e+01 -2.12162365e+00 6.08067369e+02 2.23067521e+02\n 1.18384883e+03 5.42083985e+01 7.07047398e+00 8.72391883e+00\n -3.58601768e+02 -1.16901773e+02 4.24102333e+02 1.82402338e+02\n 1.50003426e+01 -2.72166112e+00 4.99999616e+02 2.58299620e+02\n 6.61999864e+02 5.72087904e+01 7.46059178e+00 9.19972317e+00\n 8.30122676e-04 -6.17702056e-01 2.41777766e-03 -8.17768851e-03\n -8.40875131e-03 -1.28234349e+01 -1.80132421e-02 -6.39642721e-04\n -1.23247305e-04 6.80335913e-03 7.31023322e-03 -1.24464940e+01\n -4.81067778e-05 6.50639887e-05 1.05003496e-03 1.49362838e-03\n -1.08607896e-01 -1.18547947e+01 -6.27328778e-05 5.94687323e-05\n 6.14206922e-04 8.75228476e-04 -2.80067605e-03 -1.12576578e+01\n -5.04264399e-05 2.53242955e-04 3.75271056e-05 2.66485347e-04\n -2.74793318e-03 -1.06582139e+01 -5.15922673e-05 4.24485348e-04\n -1.96143721e-04 -1.13455407e-04 -2.26276477e-03 -1.00590853e+01\n -5.25030871e-05 -2.85911204e-05 -1.39780181e-02 2.88647274e-02\n -9.47950119e-03 -2.03503973e-03 1.14500852e-01 2.37229324e-01\n 3.61377325e-01]", + "y": "[ 0.00000000e+00 1.58002868e+02 1.57999054e+02 0.00000000e+00\n 1.58002868e+02 1.57999054e+02 1.48381720e+02 2.50437588e+03\n 9.97253100e+02 1.64998943e+03 0.00000000e+00 0.00000000e+00\n 1.59999988e+03 -2.54306384e-13 1.58006212e+02 1.57999054e+02\n 3.75200000e+02 4.43758732e+01 1.88070372e+03 1.19958585e+03\n 0.00000000e+00 1.87602490e+02 1.87600884e+02 0.00000000e+00\n 1.87602490e+02 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Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 3022, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "scfxm3", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:16:51", + "solve_time": 0.06835794448852539, + "status": "OPTIMAL", + 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5.09766489e-01\n 6.63849948e-12 1.80321876e-01 1.12607417e-01 5.75016599e-02\n 1.55733662e-01 1.53337760e-01 4.41132698e-12 4.70444165e-12\n 6.18199281e-12 3.63340987e-12 3.61593030e-12 5.00000000e-02\n 2.40000000e-01 6.86800000e-01 4.17000000e-01 9.00000000e-02\n 1.46800000e-01 4.50000000e-01 3.30000000e-01 5.00000000e-02\n 1.80000000e-01 6.00000000e-02 8.09514085e-02 9.00000000e-02\n 1.46800000e-01 4.50000000e-01 3.30000000e-01 8.70000000e-02\n 1.18512591e-03 2.60232726e-11 2.54235797e-12 1.29372853e-01\n 4.81345146e-01 6.34799032e-03 5.62024621e-04 1.31190682e-11\n 1.62227362e-11 4.24658543e-12 3.99800260e-12 3.67899085e-01\n 7.24533428e-02 1.30599935e-02 3.07069805e-01 7.88027652e-12\n 3.00000000e-02 7.89951991e-12 1.65200132e-10 1.82220799e+00\n 5.07477489e-12 4.22999997e-04 1.12800000e-02 2.96100001e-03\n 1.35360000e-02 7.75562635e-12 6.31504449e-11 3.46263882e-11\n 6.32411930e-11 2.56931327e-02 5.99506429e-01 2.99753215e-01\n 7.87922735e-01 4.70532014e-12 4.70659361e-12 4.66313039e-12\n 4.79464350e-12 5.40003753e-01 7.26610030e-02 1.88793979e-01\n 1.19286829e-01 6.09124234e-02 1.64971147e-01 1.62433129e-01\n 4.69311743e-12 8.19616114e-03 4.66980615e-12 6.01051817e-02\n 2.51614582e-12 4.00000000e-02 2.65000000e-01 7.68000000e-01\n 5.20000000e-01 1.00000000e-01 1.68000000e-01 5.00000000e-01\n 4.10000000e-01 4.00000000e-02 2.00000000e-01 6.50000000e-02\n 9.52247172e-02 1.00000000e-01 1.68000000e-01 5.00000000e-01\n 4.10000000e-01 1.10000000e-01 1.42733088e-03 2.02272727e-01\n 8.14835329e-02 6.55732527e-02 1.04821768e+00 6.34799032e-03\n 5.62024617e-04 1.18512590e-03 4.67591123e-12 2.46489992e-11\n 2.60070678e-11 4.81345146e-01 7.30998451e-12 1.00000000e-02\n 7.33345647e-12 2.05643810e-10 2.16857976e+00 5.06341578e-12\n 1.40999943e-04 3.76000002e-03 9.87000036e-04 4.51200002e-03\n 8.50771308e-12 7.79142754e-11 4.22676863e-11 7.80431216e-11\n 3.05769747e-02 7.13462743e-01 3.56731371e-01 9.37693890e-01\n 4.70145687e-12 4.69721428e-12 4.68255077e-12 4.80733694e-12\n 6.44578303e-01 1.26883622e-01 1.70743966e-01 1.42387347e-01\n 7.27084326e-02 1.96918671e-01 1.93889153e-01 4.69093359e-12\n 1.43124725e-02 4.63654154e-12 1.04958132e-01 2.97114042e-12\n 4.00000000e-02 2.70000000e-01 9.05000000e-01 6.50000000e-01\n 1.10000000e-01 2.45000000e-01 5.50000000e-01 5.00000000e-01\n 4.00000000e-02 2.00000000e-01 7.00000000e-02 1.17738880e-01\n 1.10000000e-01 2.45000000e-01 5.50000000e-01 5.00000000e-01\n 1.50000000e-01 2.25141626e-03 2.68686869e-01 6.77913160e-02\n 6.92754162e-01 7.63679034e-01 7.17701882e-12 6.94648192e-12\n 7.22659146e-12 8.43143134e-10 2.54332605e+00 5.03976952e-12\n 4.77461623e-12 7.41224424e-12 5.38772746e-12 7.96417540e-12\n 2.04493851e-11 3.11987032e-10 1.62318285e-10 3.12015505e-10\n 3.58608974e-02 8.36754272e-01 4.18377136e-01 1.09973419e+00\n 4.69052286e-12 4.75930890e-12 4.68696306e-12 4.84790619e-12\n 5.97177241e-01 3.51645115e-01 1.50911830e-01 1.31916453e-01\n 6.73615928e-02 1.82437647e-01 1.79630914e-01 4.68277227e-12\n 3.96655689e-02 4.67835133e-12 2.90880839e-01 1.02886737e-11\n 1.51734513e-11 2.80000000e-01 1.00900000e+00 8.80000000e-01\n 1.20000000e-01 2.89000000e-01 6.00000000e-01 6.80000000e-01\n 1.51354713e-11 2.00000000e-01 8.00000000e-02 1.42888059e-01\n 1.20000000e-01 2.89000000e-01 6.00000000e-01 6.80000000e-01\n 2.00000000e-01 1.20373897e-02 2.79040404e-01 5.51600180e-01\n 9.36748614e-01 2.67718532e+00 1.99325046e-01 1.78414266e-11\n 3.40000000e-03 5.23989123e-12 4.39269989e-11 9.64252470e-13\n 2.05179078e-12 1.17111445e-12 1.31884053e-01 1.59324478e-12\n 3.40000000e-03 6.48797912e-12 1.33281089e-11 1.02226525e-12\n 1.91609514e-12 1.21898571e-12 3.80303031e-02 6.23196388e-12\n 3.40000000e-03 4.03657622e-12 2.70793267e-11 1.12317944e-12\n 2.02801230e-12 1.34901003e-12 1.38097633e-11 5.50484298e-12\n 5.31736443e-12 8.21960227e-12 2.87430439e-11 1.11811913e-12\n 1.93140431e-12 1.15184165e-12 2.31490208e-11 9.32138547e-12\n 5.62551599e-12 8.52333449e-12 3.09470033e-11 1.24678309e-12\n 2.07719230e-12 1.28581025e-12 7.13814452e-11 3.03392634e-11\n 1.62706160e-11 2.51524544e-11 1.25079008e-10 2.11700756e-12\n 2.40875717e-12 2.16931380e-12 3.28948038e-12 1.65583084e-12\n 1.62520002e-12 1.64042516e-12 2.34799029e-02 5.24879154e-13\n 4.74458893e-13 5.03876137e-13 3.42017396e-12 3.78728198e-02\n 3.36349800e-12 1.73761251e-12 1.70422183e-12 1.71966168e-12\n 2.91001494e-02 5.44667676e-13 4.92720730e-13 5.18134329e-13\n 3.47417121e-12 1.19391490e-02 3.43209221e-12 1.81908507e-12\n 1.75470923e-12 1.76367286e-12 3.09514085e-02 6.89316509e-13\n 6.25573638e-13 6.59849895e-13 2.33426074e-12 8.69317096e-12\n 2.49537528e-12 1.31739986e-12 1.27618224e-12 1.27988830e-12\n 4.52247172e-02 8.55006111e-13 7.62550960e-13 8.06775817e-13\n 7.84957259e-13 9.09181563e-13 2.94931420e-12 1.56971673e-12\n 1.50165440e-12 1.51046000e-12 5.77388797e-02 9.73598499e-13\n 8.95212764e-13 9.21393413e-13 8.91258499e-13 1.04773670e-12\n 1.02619903e-11 1.51191534e-11 5.15538556e-12 5.21521748e-12\n 7.28880591e-02 3.44648291e-12 3.01031596e-12 3.13172204e-12\n 2.91420350e-12 3.32357572e-12]", + "s": "[2.03297895e-08 9.94759940e-08 1.56728251e+01 2.65164014e-01\n 1.51176343e-10 3.56948344e+01 5.25347679e-06 4.36644935e-08\n 2.01504742e-07 3.61425347e-08 8.85974242e+00 6.65391467e-01\n 1.16778629e+00 6.65397863e-01 9.46719060e-09 4.47023392e-10\n 8.68321057e-10 3.43923331e-10 3.72201835e+01 3.67257179e+01\n 3.73019958e+01 3.63554607e+01 5.10047024e-10 6.95321216e+01\n 7.81925245e-10 2.25753041e-09 4.36618263e-09 1.64307561e-09\n 1.66826918e-09 3.73199421e+01 3.92341228e+01 3.71734937e+01\n 5.99808015e+01 5.93837361e+01 1.45570888e-09 9.57955655e-10\n 3.27850134e-10 5.54503624e-10 2.69977514e-09 1.60385566e-09\n 4.79549456e-10 7.68290087e-10 1.45570292e-09 1.26490475e-09\n 3.72803205e-09 2.95465956e-09 2.69966312e-09 1.60380698e-09\n 4.79545081e-10 7.68293859e-10 1.91808150e-09 2.82355115e-08\n 1.43438680e+01 5.12211675e+01 5.34554949e-10 8.85267852e-09\n 2.48022931e-08 3.02085438e-08 1.80221958e+01 2.53095546e-01\n 1.33093777e-10 3.55145345e+01 3.66370003e-06 3.55997623e-08\n 1.52595177e-07 2.96274359e-08 1.07565872e+01 7.77838085e-01\n 1.45493049e+00 7.77891104e-01 8.63033171e-09 4.06493857e-10\n 7.93005059e-10 3.11804280e-10 3.72662706e+01 3.65953324e+01\n 3.73519294e+01 3.62860853e+01 4.58343927e-10 6.73164964e+01\n 7.84141218e-10 2.03393019e-09 3.92997791e-09 1.48045054e-09\n 1.50317909e-09 3.73421365e+01 3.96491709e+01 3.70414403e+01\n 6.06821128e+01 5.89913182e+01 1.57361453e-09 8.90479582e-10\n 3.07165880e-10 5.14211678e-10 2.37197326e-09 1.48801260e-09\n 4.56865838e-10 6.61277200e-10 1.57361958e-09 1.18617786e-09\n 3.39060626e-09 2.71120098e-09 2.37183797e-09 1.48795383e-09\n 4.56860314e-10 6.61286272e-10 2.24426271e-09 2.16818523e-07\n 1.14343379e+01 5.27574135e+01 2.48802807e-09 8.60836297e-10\n 2.82299431e-08 1.43429391e+01 5.10572902e+01 5.34554789e-10\n 8.85273204e-09 9.40335894e-08 1.01323477e-08 1.90720437e+01\n 1.22406513e-09 1.52593290e-10 3.39624554e+01 1.68296388e-06\n 2.32675952e-08 9.20600334e-08 1.94440509e-08 2.97102631e-08\n 3.35291734e-09 6.30699394e-09 3.35376796e-09 1.00412721e-08\n 4.62598380e-10 9.04787698e-10 3.53657284e-10 3.68798567e+01\n 3.55046823e+01 3.82958904e+01 3.53412000e+01 3.86989359e-10\n 3.18642263e+01 1.04485014e-09 1.72215717e-09 3.32636361e-09\n 1.25315791e-09 1.27239098e-09 3.74948303e+01 3.75275172e+01\n 3.62399237e+01 3.54453213e+01 4.95417325e+01 3.72385601e-09\n 7.98373607e-10 2.80933412e-10 4.61563629e-10 2.11324856e-09\n 1.30393854e-09 4.26768077e-10 5.81234242e-10 3.72384539e-09\n 1.05569470e-09 3.12322147e-09 2.34033276e-09 2.11319336e-09\n 1.30391520e-09 4.26765480e-10 5.81235440e-10 2.19560110e-09\n 2.35443019e-07 7.06010750e+00 6.48099999e+01 1.66751913e-09\n 4.07820941e-10 2.82267156e-08 2.24169521e-07 1.43401756e+01\n 1.14326448e+01 5.06915421e+01 5.22325864e+01 5.34554842e-10\n 2.48802994e-09 8.85275533e-09 8.60841820e-10 2.03803910e+01\n 6.06459307e-09 1.97684499e+01 1.08465122e+00 1.13799504e-10\n 3.65357385e+01 7.92129050e-07 1.56131790e-08 5.98063119e-08\n 1.30661463e-08 2.36468607e+01 2.84911382e+00 5.47970815e+00\n 2.84914711e+00 7.20393634e-09 3.35379015e-10 6.61624380e-10\n 2.55120793e-10 3.73381535e+01 3.70733945e+01 3.72205386e+01\n 3.68825633e+01 3.54277217e-10 2.55157898e-09 9.94553398e-10\n 1.58312675e-09 3.06372860e-09 1.15022689e-09 1.16796227e-09\n 3.72965321e+01 2.21264630e-08 3.72639224e+01 3.07597577e-09\n 7.85441626e+01 4.66521572e-09 7.23724740e-10 2.53270447e-10\n 3.71103112e-10 1.89904896e-09 1.13628649e-09 3.85198826e-10\n 4.69248407e-10 4.66516624e-09 9.51769802e-10 2.89558739e-09\n 1.97337311e-09 1.89903488e-09 1.13628091e-09 3.85198111e-10\n 4.69246769e-10 1.73187205e-09 1.39972399e-07 1.02726890e-09\n 2.27354701e-09 2.41624443e-09 1.87766422e-10 2.82260311e-08\n 2.27073609e-07 2.35441363e-07 3.73069330e+01 7.86301734e+00\n 7.05989249e+00 4.07821008e-10 2.07164240e+01 1.77831117e-08\n 2.05532540e+01 8.25096225e-01 9.41770821e-11 3.65453498e+01\n 5.68434975e-06 4.67944832e-08 2.15626678e-07 3.89899818e-08\n 2.12806661e+01 2.43258155e+00 4.39594853e+00 2.43252059e+00\n 6.04639195e-09 2.84045200e-10 5.56522711e-10 2.18766353e-10\n 3.73283897e+01 3.70930332e+01 3.72157749e+01 3.68861836e+01\n 3.00275973e-10 1.47075086e-09 1.11984454e-09 1.33102457e-09\n 2.57393913e-09 9.67467516e-10 9.82355601e-10 3.72967407e+01\n 1.27594469e-08 3.72992367e+01 1.77385005e-09 6.65614126e+01\n 4.63279830e-09 7.09347102e-10 2.17985717e-10 2.97888646e-10\n 1.72531867e-09 7.79750693e-10 3.51165876e-10 3.86617328e-10\n 4.63274686e-09 9.50903518e-10 2.68544096e-09 1.60001188e-09\n 1.72531343e-09 7.79749467e-10 3.51165547e-10 3.86616275e-10\n 1.27098552e-09 7.80181976e-08 7.00224569e-10 2.71756427e-09\n 2.87880154e-10 2.57142957e-10 2.30700764e+01 2.40706859e+01\n 2.28948990e+01 2.45906228e-01 8.06090291e-11 3.63918293e+01\n 3.64291415e+01 2.22724977e+01 3.17099491e+01 2.07172592e+01\n 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1.43775678e-12 2.24731956e-12 2.50992029e-12\n 3.94949893e-12 3.80382613e-12 2.77395537e-12 7.58749184e-02\n 2.52284662e-12 8.17047861e-12 2.13109492e-12 1.01003060e-12\n 2.14547508e-12 1.43830060e-12 4.42210514e-12 1.72589463e-12\n 5.06373620e-12 2.49084154e-12 2.82778606e-12 4.00479409e-11\n 1.69714898e-11 2.27147574e-12 8.90535210e-12 1.74690515e-12\n 2.03548397e-11 1.36298476e-12 4.07554309e-12 9.23975225e-13\n 2.74411764e-12 1.11168459e-10 1.08694376e-11 2.35090700e-12\n 1.01135431e-11 1.52592483e-12 3.08219078e-12 1.27292102e-12\n 1.88235603e-12 1.09161534e-12 1.40811962e-12 4.51890918e-11\n 2.82647967e-12 2.07799165e-12 3.30905557e-12 1.41072834e-12\n 2.31242437e-12 1.19322226e-12 1.59005968e-12 1.06785239e-12\n 9.33239025e-13 3.76161457e-11 1.56559598e-12 1.88896775e-12\n 1.87374682e-12 1.29074328e-12 1.79725555e-12 1.07225511e-12\n 1.28076596e-12 1.03818425e-12 1.30743506e-02 4.57556336e-12\n 8.13329397e-03 2.35219099e-12 2.03587204e-11 1.36297264e-12\n 2.09345937e-12 2.17139991e-11 2.97853554e-12 2.26198678e-11\n 5.60696973e-12 3.77379483e-12 2.29393118e-12 2.57543668e-12\n 1.49041796e-12 1.84985658e-12 1.25186938e-12 1.12556463e-10\n 1.76309459e-12 5.50119256e-12 1.96312694e-12 2.98658206e-12\n 1.53269572e-12 2.26882789e-12 1.13458479e-12 1.89212848e-12\n 8.77208638e-13 5.27046275e-01 1.23252275e-12 3.49875428e-12\n 1.33030256e-12 2.42683793e-12 1.23700023e-12 1.90936182e-12\n 9.23497243e-13 1.90038508e-12 1.30743506e-02 4.57556798e-12\n 8.90694657e-12 1.74688071e-12 1.72433445e-12 3.79252331e-12\n 2.29245801e-12 1.15791469e-11 2.94162534e-12 3.51701434e-11\n 2.29245783e-12 1.15793970e-11 1.72433269e-12 3.79252393e-12\n 1.19000637e-12 4.66348533e-12 1.50714571e-12 6.67100164e-12\n 1.69146130e-12 7.94647937e-12 1.50716222e-12 6.67064460e-12\n 1.19002546e-12 4.66321594e-12 8.75254896e-13 6.10598181e-12\n 1.14168611e-12 3.95597800e-12 1.19895752e-12 4.65491982e-12\n 1.14170114e-12 3.95572322e-12 8.75268245e-13 6.10539936e-12\n 1.69748342e-11 2.27139910e-12 1.49040987e-12 1.84986565e-12\n 2.29393462e-12 2.57544495e-12 5.60691881e-12 3.77383261e-12\n 2.97852268e-12 2.26204753e-11 2.09343400e-12 2.17208451e-11\n 1.13454367e-12 1.89218967e-12 1.53263633e-12 2.26889489e-12\n 1.96308540e-12 2.98664892e-12 1.76307477e-12 5.50136931e-12\n 1.25186836e-12 1.12568535e-10 9.23463338e-13 1.90046751e-12\n 1.23694803e-12 1.90944788e-12 1.33026688e-12 2.42694275e-12\n 1.23251222e-12 3.49884048e-12 8.77209090e-13 5.27046275e-01\n 1.88241114e-12 1.09160842e-12 3.08237837e-12 1.27290465e-12\n 1.01157104e-11 1.52590222e-12 1.08717007e-11 2.35082327e-12\n 2.74410612e-12 1.11193806e-10 1.59003145e-12 1.06786455e-12\n 2.31240230e-12 1.19323049e-12 3.30911424e-12 1.41072422e-12\n 2.82648122e-12 2.07799380e-12 1.40811255e-12 4.51995536e-11\n 1.28072811e-12 1.03820598e-12 1.79718717e-12 1.07227960e-12\n 1.87369854e-12 1.29077048e-12 1.56557875e-12 1.88899768e-12\n 9.33235779e-13 3.76243898e-11 7.87276391e-12 4.23549337e-12\n 3.37722280e-12 2.31650200e-12 2.17273947e-12 1.61064563e-12\n 1.59919884e-12 1.22607461e-12 2.79884689e-12 7.69738320e-11\n 6.93214387e-12 2.60155185e-12 4.39834898e-12 1.74058456e-12\n 2.47908938e-12 1.38362117e-12 1.71483339e-12 1.11873737e-12\n 1.37987730e-12 5.73112489e-11 2.63722576e-12 2.19899372e-12\n 2.83410892e-12 1.48668727e-12 2.31078698e-12 1.16110987e-12\n 1.56106992e-12 1.03734974e-12 6.23709466e-12 4.76604159e-12\n 3.13941738e-12 2.42804266e-12 2.17277886e-12 1.61063086e-12\n 2.33130761e-12 8.41465879e-12 4.18713795e-12 7.11247064e-12\n 4.61246011e-12 3.23344203e-12 2.77919058e-12 2.17343011e-12\n 1.94539234e-12 1.58091990e-12 1.27577076e-12 1.43266633e-11\n 2.02736239e-12 4.06371244e-12 2.28083127e-12 2.55874736e-12\n 2.08844627e-12 1.81459183e-12 1.46241632e-12 1.58334004e-12\n 6.23694610e-12 4.76609866e-12 3.37727021e-12 2.31648448e-12\n 2.07810233e-12 2.85437703e-12 2.90766666e-12 5.31052411e-12\n 3.76210973e-12 1.09767898e-11 2.90778032e-12 5.31016948e-12\n 2.07820438e-12 2.85423140e-12 1.31325851e-12 3.56079602e-12\n 1.80755212e-12 3.83006831e-12 1.91893391e-12 5.61775884e-12\n 1.80760841e-12 3.82975114e-12 1.31330421e-12 3.56049609e-12\n 7.87337163e-12 4.23539903e-12 1.94526401e-12 1.58097890e-12\n 2.77899680e-12 2.17351909e-12 4.61219449e-12 3.23356069e-12\n 4.18705467e-12 7.11268938e-12 2.33138655e-12 8.41396493e-12\n 1.46232665e-12 1.58342366e-12 2.08828288e-12 1.81470463e-12\n 2.28070875e-12 2.55891542e-12 2.02734099e-12 4.06380013e-12\n 1.27578770e-12 1.43251714e-11 1.71475233e-12 1.11875801e-12\n 2.47898172e-12 1.38364191e-12 4.39828153e-12 1.74059292e-12\n 6.93177925e-12 2.60160071e-12 2.79882973e-12 7.69919271e-11\n 1.56097501e-12 1.03737820e-12 2.31059411e-12 1.16114694e-12\n 2.83390480e-12 1.48673979e-12 2.63713316e-12 2.19906446e-12\n 1.37987270e-12 5.73235851e-11 1.88486058e-11 3.20989463e-12\n 6.47910297e-12 1.85487910e-12 3.78413725e-12 1.31944009e-12\n 2.84800626e-12 9.80158153e-13 2.68051422e-12 2.46798303e-10\n 1.66765990e-11 2.16782019e-12 1.59482343e-11 1.39835847e-12\n 7.95144189e-12 1.05232709e-12 3.32736586e-12 8.66223639e-13\n 9.89192636e-12 4.11245677e-12 4.89508692e-12 2.08972204e-12\n 3.78427013e-12 1.31942841e-12 2.28791595e-12 1.01531746e-11\n 3.78047048e-12 9.22634763e-12 4.62266102e-12 3.21056638e-12\n 4.06516999e-12 1.76673071e-12 2.66975755e-12 1.29329910e-12\n 9.89306222e-12 4.11232646e-12 6.48011448e-12 1.85482913e-12\n 2.53217070e-12 2.27134424e-12 3.67130993e-12 3.87567406e-12\n 3.71023428e-12 1.19088218e-11 3.67162621e-12 3.87532863e-12\n 2.53236474e-12 2.27121985e-12 1.88542525e-11 3.20982672e-12\n 2.66956853e-12 1.29332947e-12 4.06474954e-12 1.76679084e-12\n 4.62229290e-12 3.21073424e-12 3.78046238e-12 9.22639580e-12\n 2.28798013e-12 1.01520684e-11 3.32710959e-12 8.66232047e-13\n 7.95030069e-12 1.05234058e-12 1.59445678e-11 1.39837966e-12\n 1.66743978e-11 2.16785547e-12 2.68051198e-12 2.46833242e-10\n 8.28987752e-02 2.74299897e-12 3.36160695e-02 1.42749551e-12\n 2.44685711e-02 9.75807378e-13 2.56832525e-02 7.33396312e-13\n 3.53781702e-02 2.89881445e-12 2.30520334e-02 1.47461810e-12\n 2.44685717e-02 9.75807662e-13 3.53781798e-02 2.89881089e-12\n 3.36160599e-02 1.42749517e-12 8.28987842e-02 2.74300046e-12]", + "s": "[1.09672898e+00 9.03271025e-01 2.44903165e+00 1.55096835e+00\n 3.80135609e+00 2.19864391e+00 4.89809306e+00 3.10190694e+00\n 1.09425935e+00 9.05740646e-01 1.19214017e+00 1.63628695e+00\n 1.55329232e+00 2.91884364e+00 2.78920088e+00 3.53535444e+00\n 4.29823163e+00 3.94797963e+00 2.64208551e+00 1.35791449e+00\n 2.50413135e+00 1.96800461e+00 2.13844630e+00 3.51840794e+00\n 2.91147467e+00 4.29962789e+00 4.40161989e+00 4.54265201e+00\n 1.35230267e+00 6.47697328e-01 2.70462712e+00 1.29537288e+00\n 3.80136409e+00 2.19863591e+00 1.74367154e+00 1.08475558e+00\n 8.12025152e-01 1.18797485e+00 6.67201378e-01 2.16122574e+00\n 2.07272095e+00 2.39941501e+00 3.57052544e+00 2.75402988e+00\n 3.18195990e+00 1.29017606e+00 2.59125466e+00 1.40874534e+00\n 2.02802957e+00 2.44410639e+00 2.78851613e+00 2.86833811e+00\n 4.11212339e+00 3.09897917e+00 1.35232444e+00 6.47675555e-01\n 2.44906141e+00 1.55093859e+00 3.54858296e+00 9.23552998e-01\n 2.67273633e+00 1.55690794e-01 2.00000000e+00 1.29778612e-11\n 2.67274009e+00 1.55687026e-01 3.54860055e+00 9.23535407e-01\n 5.10387879e+00 5.52975448e-01 4.47213596e+00 9.45348598e-12\n 4.00000000e+00 2.61230504e-11 4.47213596e+00 9.45344601e-12\n 5.10388577e+00 5.52968471e-01 1.09673697e+00 9.03263031e-01\n 3.57052780e+00 2.75402752e+00 2.07273298e+00 2.39940298e+00\n 6.67204784e-01 2.16122234e+00 8.12019175e-01 1.18798083e+00\n 1.74367085e+00 1.08475627e+00 4.11213314e+00 3.09896942e+00\n 2.78853073e+00 2.86832351e+00 2.02803830e+00 2.44409766e+00\n 2.59125354e+00 1.40874646e+00 3.18195433e+00 1.29018163e+00\n 4.29824015e+00 3.94797111e+00 2.78921790e+00 3.53533742e+00\n 1.55330041e+00 2.91883555e+00 1.19214367e+00 1.63628345e+00\n 1.09425411e+00 9.05745894e-01 4.40163408e+00 4.54263782e+00\n 2.91149402e+00 4.29960854e+00 2.13846043e+00 3.51839381e+00\n 2.50413592e+00 1.96800004e+00 2.64207743e+00 1.35792257e+00\n 1.14885126e+00 8.51148742e-01 1.70790864e+00 2.29209136e+00\n 2.26696037e+00 3.73303963e+00 3.41581885e+00 4.58418115e+00\n 1.54782616e+00 4.52173844e-01 1.54773618e+00 1.28069094e+00\n 1.29545713e+00 3.17667883e+00 1.77233992e+00 4.55221540e+00\n 3.14902735e+00 5.09718391e+00 5.59057382e-01 1.44094262e+00\n 1.11810911e+00 2.88189089e+00 2.26696759e+00 3.73303241e+00\n 2.43114247e+00 3.97284654e-01 1.77922951e+00 2.20770491e-01\n 9.46306128e-01 1.88212099e+00 1.29572468e+00 3.17641128e+00\n 2.52240127e+00 3.80215405e+00 5.59051732e-01 1.44094827e+00\n 1.70791021e+00 2.29208979e+00 2.84833367e+00 1.62380229e+00\n 2.12132595e+00 7.07101174e-01 2.00000000e+00 1.32841189e-11\n 2.12131475e+00 7.07112370e-01 2.84832758e+00 1.62380838e+00\n 1.14885848e+00 8.51141522e-01 2.52240418e+00 3.80215114e+00\n 1.29573596e+00 3.17640000e+00 9.46316761e-01 1.88211036e+00\n 1.77923436e+00 2.20765637e-01 2.43114568e+00 3.97281445e-01\n 3.14903479e+00 5.09717647e+00 1.77235500e+00 4.55220032e+00\n 1.29547067e+00 3.17666529e+00 1.54774528e+00 1.28068184e+00\n 1.54782332e+00 4.52176677e-01 1.15107723e+00 8.48922775e-01\n 1.15107723e+00 2.84892277e+00 1.15107723e+00 4.84892277e+00\n 2.30216262e+00 5.69783738e+00 1.78375051e+00 2.16249491e-01\n 1.05769609e+00 1.77073103e+00 9.89630961e-01 3.48250500e+00\n 1.94526457e+00 4.37929075e+00 2.51568434e+00 5.73052692e+00\n 3.70684483e+00 2.93155168e-01 3.13822412e+00 1.33391184e+00\n 2.14141976e+00 3.51543448e+00 2.58474676e+00 4.62635580e+00\n 3.03027343e+00 5.91399847e+00 4.38945241e-10 2.00000000e+00\n 8.77898090e-10 4.00000000e+00 1.15108540e+00 4.84891460e+00\n 2.72005518e+00 1.08371935e-01 2.00000000e+00 4.38448161e-11\n 6.91282498e-01 2.13714462e+00 1.42068801e+00 3.05144795e+00\n 1.84643112e+00 4.47812420e+00 4.44125015e+00 3.08858055e-02\n 4.00000000e+00 8.70698639e-11 2.63341281e+00 1.83872315e+00\n 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0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.31346312e-01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 4.55364912e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 7.96063518e-03, 0.00000000e+00,\n 1.59212870e-02, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.27986676e-17, 0.00000000e+00, 2.19992817e-02,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -1.64837823e-17,\n 0.00000000e+00, 2.57549340e-02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 7.96065183e-03, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -3.67865895e-18,\n 0.00000000e+00, -1.73472348e-18, 0.00000000e+00, -3.06554913e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 5.05623982e-01, 0.00000000e+00, -3.46944695e-18,\n 0.00000000e+00, 5.05624027e-01, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 2.19994235e-02, 0.00000000e+00, 1.13808511e-17,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.57547740e-02,\n 0.00000000e+00, -4.72696697e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -4.98732999e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -5.20417043e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 4.77048956e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 2.19970808e-02, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 5.46437895e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.19972149e-02,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.03576608e-18,\n -2.60208521e-18, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.62630326e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.02999206e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -2.16840434e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.98235651e-02, 0.00000000e+00,\n 3.96471380e-02, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -2.68235548e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 6.78743975e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 5.27035346e-01, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 1.98235729e-02, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -3.37210404e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -6.13109825e-19, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n -8.67361738e-19, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -1.73472348e-18, 0.00000000e+00, 6.13109825e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -2.42408563e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 5.27035351e-01,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -3.25260652e-18, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -9.29703363e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -1.90819582e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -4.33680869e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 1.03541307e-17, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -1.68051337e-18,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, -5.20417043e-18, -8.67361738e-19, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, -5.42101086e-18,\n -4.90487860e-18, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, -4.01154804e-18, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n 1.10359769e-17, 0.00000000e+00, 0.00000000e+00, 2.16840434e-18,\n 5.24528123e-02, 0.00000000e+00, 2.69830249e-02, 0.00000000e+00,\n 3.32693951e-02, 0.00000000e+00, 5.39662368e-02, 0.00000000e+00,\n 6.39470755e-03, 0.00000000e+00, 1.27892276e-02, 0.00000000e+00,\n 3.32690819e-02, 0.00000000e+00, 6.39452006e-03, 0.00000000e+00,\n 2.69832120e-02, 0.00000000e+00, 5.24529373e-02, 0.00000000e+00]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-8.666717597485187, prim_res=4.7146651817930874e-05, dual_res=1.1993897805804668e-05, iter=500, rho_updates=0, rho_estimate=0.09913232585551317, setup_time=0.0003825, solve_time=0.004229583, update_time=0.0, polish_time=4.1291e-05, run_time=0.004653374))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3049, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "scsd1", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + 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2.96225679 -14.\n 0.29559013 -13. 1.29559013 -15. 1.62892346\n -16.33333333 1.96225679 -15. 2.96225679 -13.\n 0.29559013 -12. 1.29559013 -14. 1.62892346\n -15.33333333 1.96225679 -14. 2.96225679 -12.\n 0.29559013 -11. 1.29559013 -13. 1.62892346\n -14.33333333 1.96225679 -13. 2.96225679 -11.\n 0.29559013 -10. 1.29559013 -12. 1.62892346\n -13.33333333 1.96225679 -12. 2.96225679 -10.\n 0.29559013 -9. 1.29559013 -11. 1.62892346\n -12.33333333 1.96225679 -11. 2.96225679 -9.\n 0.29559013 -8. 1.29559013 -10. 1.62892346\n -11.33333333 1.96225679 -10. 2.96225679 -8.\n 0.29559013 -7. 1.29559013 -9. 1.62892346\n -10.33333333 1.96225679 -9. 2.96225679 -7.\n 0.29559013 -6. 1.29559013 -8. 1.62892346\n -9.33333333 1.96225679 -8. 2.96225679 -6.\n 0.29559013 -5. 1.29559013 -7. 1.62892346\n -8.33333333 1.96225679 -7. 2.96225679 -5.\n 0.29559013 -4. 1.29559013 -6. 1.62892346\n -7.33333333 1.96225679 -6. 2.96225679 -4.\n 0.29559013 -3. 1.29559013 -5. 1.62892346\n -6.33333333 1.96225679 -5. 2.96225679 -3.\n 0.29559013 -2. 1.29559013 -4. 1.62892346\n -5.33333333 1.96225679 -4. 2.96225679 -2.\n 0.29559013 -1. 1.13498545 -3.04311971 1.62892346\n -4.33333333 2.12286491 -3.0431207 2.96225679 -1.\n 0.83091253 -2.23726264 1.62892346 -3.33333333 2.42693767\n -2.23726422 3.2578542 ]", + "y": "[]", + "z": "[2.28445215e-10 2.36345860e-10 9.07524338e-11 ... 6.51749106e-11\n 1.31875727e-09 1.28353996e-10]", + "s": "[0.97024127 1.02975873 2.6172888 ... 3.62893074 0.16908347 1.83091653]", + "info": { + "exitFlag": 0, + "pcost": -904.9999997860832, + "dcost": -905.0000004411925, + "pres": 1.4272609337744472e-14, + "dres": 1.9392550112473915e-14, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": NaN, + "dinfres": 0.2571251945463096, + "gap": 6.610997956198259e-07, + "relgap": 7.304970119072834e-10, + "r0": 1e-08, + "iter": 12, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.0064789999999999995, + "tsetup": 0.000580875, + "tsolve": 0.005898125 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 3068, + "solver_name": "cvxpy_highs", + "solver_version": "cvxpy-1.6.5-HIGHS-1.11.0", + "problem_library": "NETLIB", + "problem_name": "scsd8", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:17:27", + "solve_time": 0.03501296043395996, + "status": "OPTIMAL", + "primal_objective_value": 904.9999999254645, + "dual_objective_value": 904.9999999254643, + "duality_gap": 2.2737367544323206e-13, + "primal_infeasibility": 7.922035696756539e-16, + "dual_infeasibility": 3.9440594699078904e-17, + "iterations": 935, + "memo": { + "solver_solve_time": 0.02631950005888939, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 904.9999999254643, + "solver_stats": { + "solve_time": 0.02631950005888939, + "num_iters": 935, + "solver_name": "HIGHS", + "extra_stats": "" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3064, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "scsd8", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:17:23", + "solve_time": 0.42551493644714355, + "status": "OPTIMAL (INACCURATE)", + "primal_objective_value": 905.0000801388811, + "dual_objective_value": 905.0005575158373, + "duality_gap": -0.0004773769561552399, + "primal_infeasibility": 5.77535414230251e-06, + "dual_infeasibility": 5.351999959291572e-08, + "iterations": 10000, + "memo": { + "solver_solve_time": 0.417820749, + "original_status": { + "cvxpy_status": "optimal_inaccurate", + "cvxpy_value": 905.0005575158373, + "solver_stats": { + "solve_time": 0.417820749, + "num_iters": 10000, + "solver_name": "OSQP", + "extra_stats": "namespace(x=array([ 2.31570598, -38.64957563, 2.65059459, -41.0007778 ,\n 1.92626017, -42.33237531, 1.20189444, -41.0007778 ,\n 1.53680179, -38.64957122, 1.36465322, -37.85334838,\n 1.59485061, -40.00075544, 1.92626017, -41.33280404,\n 2.25766973, -40.00075544, 2.48787297, -37.85333739,\n 0.59364854, -36.99958661, 1.59384522, -39.00043235,\n 1.92626017, -40.33316652, 2.25867512, -39.00043235,\n 3.2588718 , -36.99958661, 0.59318268, -35.9997513 ,\n 1.59319139, -38.00015596, 1.92626017, -39.33347087,\n 2.25932895, -38.00015596, 3.25933766, -35.9997513 ,\n 0.59295407, -34.99990131, 1.59290538, -37.00007079,\n 1.92626017, -38.33344306, 2.25961496, -37.00007079,\n 3.25956626, -34.99990131, 0.59286995, -33.99999909,\n 1.59285161, -36.00002115, 1.92626017, -37.33337175,\n 2.25966872, -36.00002115, 3.25965038, -33.99999909,\n 0.59287836, -33.00002722, 1.59287833, -34.99999702,\n 1.92626017, -36.33332823, 2.259642 , -34.99999702,\n 3.25964198, -33.00002722, 0.59290748, -32.00002049,\n 1.59291358, -33.99999196, 1.92626017, -35.3333182 ,\n 2.25960675, -33.99999196, 3.25961285, -32.00002049,\n 0.59292682, -31.00000715, 1.5929313 , -32.99999497,\n 1.92626017, -34.33332356, 2.25958904, -32.99999497,\n 3.25959352, -31.00000715, 0.59293252, -29.99999928,\n 1.59293407, -31.99999865, 1.92626017, -33.33333054,\n 2.25958626, -31.99999865, 3.25958782, -29.99999928,\n 0.59293106, -28.99999736, 1.59293089, -31.00000048,\n 1.92626017, -32.33333414, 2.25958944, -31.00000048,\n 3.25958927, -28.99999736, 0.5929283 , -27.99999825,\n 1.59292772, -30.00000076, 1.92626017, -31.33333475,\n 2.25959262, -30.00000076, 3.25959203, -27.99999825,\n 0.59292668, -26.99999949, 1.5929263 , -29.00000042,\n 1.92626017, -30.33333415, 2.25959404, -29.00000042,\n 3.25959365, -26.99999949, 0.59292629, -26.00000013,\n 1.59292618, -28.00000009, 1.92626017, -29.33333352,\n 2.25959416, -28.00000009, 3.25959404, -26.00000013,\n 0.59292648, -25.00000025, 1.59292651, -26.99999995,\n 1.92626017, -28.33333323, 2.25959383, -26.99999995,\n 3.25959386, -25.00000025, 0.59292673, -24.00000015,\n 1.59292679, -25.99999993, 1.92626017, -27.3333332 ,\n 2.25959355, -25.99999993, 3.2595936 , -24.00000015,\n 0.59292687, -23.00000004, 1.5929269 , -24.99999997,\n 1.92626017, -26.33333326, 2.25959344, -24.99999997,\n 3.25959347, -23.00000004, 0.59292689, -21.99999999,\n 1.5929269 , -24. , 1.92626017, -25.33333332,\n 2.25959344, -24. , 3.25959344, -21.99999999,\n 0.59292687, -20.99999998, 1.59292686, -23.00000001,\n 1.92626017, -24.33333334, 2.25959347, -23.00000001,\n 3.25959347, -20.99999998, 0.59292685, -19.99999999,\n 1.59292684, -22.00000001, 1.92626017, -23.33333334,\n 2.25959349, -22.00000001, 3.25959349, -19.99999999,\n 0.59292683, -19. , 1.59292683, -21.00000001,\n 1.92626017, -22.33333334, 2.2595935 , -21.00000001,\n 3.2595935 , -19. , 0.59292683, -18. ,\n 1.59292683, -20. , 1.92626017, -21.33333333,\n 2.2595935 , -20. , 3.2595935 , -18. ,\n 0.59292684, -17. , 1.59292684, -19. ,\n 1.92626017, -20.33333333, 2.2595935 , -19. ,\n 3.2595935 , -17. , 0.59292684, -16. ,\n 1.59292684, -18. , 1.92626017, -19.33333333,\n 2.2595935 , -18. , 3.2595935 , -16. ,\n 0.59292684, -15. , 1.59292684, -17. ,\n 1.92626017, -18.33333333, 2.25959349, -17. ,\n 3.2595935 , -15. , 0.59292684, -14. ,\n 1.59292684, -16. , 1.92626017, -17.33333333,\n 2.25959349, -16. , 3.2595935 , -14. ,\n 0.59292684, -13. , 1.59292684, -15. ,\n 1.92626017, -16.33333333, 2.2595935 , -15. ,\n 3.2595935 , -13. , 0.59292684, -12. ,\n 1.59292684, -14. , 1.92626017, -15.33333333,\n 2.2595935 , -14. , 3.2595935 , -12. ,\n 0.59292684, -11. , 1.59292684, -13. ,\n 1.92626017, -14.33333333, 2.2595935 , -13. ,\n 3.2595935 , -11. , 0.59292684, -10. ,\n 1.59292684, -12. , 1.92626017, -13.33333333,\n 2.2595935 , -12. , 3.2595935 , -10. ,\n 0.59292684, -9. , 1.59292684, -11. ,\n 1.92626017, -12.33333333, 2.2595935 , -11. ,\n 3.2595935 , -9. , 0.59292684, -8. ,\n 1.59292684, -10. , 1.92626017, -11.33333333,\n 2.2595935 , -10. , 3.2595935 , -8. ,\n 0.59292684, -7. , 1.59292684, -9. ,\n 1.92626017, -10.33333333, 2.2595935 , -9. ,\n 3.2595935 , -7. , 0.59292684, -6. ,\n 1.59292684, -8. , 1.92626017, -9.33333333,\n 2.2595935 , -8. , 3.2595935 , -6. ,\n 0.59292684, -5. , 1.59292684, -7. ,\n 1.92626017, -8.33333333, 2.2595935 , -7. ,\n 3.2595935 , -5. , 0.59292684, -4. ,\n 1.59292684, -6. , 1.92626017, -7.33333333,\n 2.2595935 , -6. , 3.2595935 , -4. ,\n 0.59292684, -3. , 1.59292684, -5. ,\n 1.92626017, -6.33333333, 2.2595935 , -5. ,\n 3.2595935 , -3. , 0.59292684, -2. ,\n 1.59292684, -4. , 1.92626017, -5.33333333,\n 2.2595935 , -4. , 3.2595935 , -2. ,\n 0.59292684, -1. , 1.36619397, -3.20270363,\n 1.92626017, -4.33333333, 2.48635771, -3.20274559,\n 3.2595935 , -1. , 0.95356887, -2.46948821,\n 1.92626017, -3.33333333, 2.8987789 , -2.4693176 ,\n 3.85240119]), y=array([ 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, ...,\n 0.00000000e+00, -1.47959617e-18, 0.00000000e+00], shape=(2750,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2750,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 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4.04845073e+01, 1.18455993e+01,\n 4.69023099e+02, -1.99672748e+01, -2.04534475e+00, -5.10423324e+01,\n 2.16959703e+02, 2.31952821e+02, 2.72952182e+02, 2.72951520e+02,\n 2.88949998e+02, 2.46947320e+02, 2.60948225e+02, 2.84949118e+02,\n 3.00950093e+02, 3.09950162e+02, 3.37950204e+02, 2.78453434e+02,\n 2.88153481e+02, 3.48269618e+02, 3.86400646e+02, 3.83671746e+02,\n 2.29956785e+02, 2.39957341e+02, 2.49957883e+02, 2.57958380e+02,\n 2.68958864e+02, 3.06527180e+02, 3.09003545e+02, 2.20832996e+02,\n 2.64900827e+02, 2.35823029e+02, 1.24822523e+02, 3.10228153e+02,\n 1.24823181e+02, 1.50951908e+02, 2.57009849e+02, 2.57009701e+02,\n 3.25903206e+02, 3.86884734e+02, 3.87560043e+02, 3.51404295e+02,\n 2.47266616e+02, 2.86885946e+02, 1.22762716e+02, 1.34954083e+02,\n 1.60953485e+02, 4.60953537e+02, 6.00953576e+02, 4.56388589e+02,\n 1.68260397e+02, 1.77708420e+02, 2.37252377e+02, 3.36713454e+02,\n 3.82223124e+02, -5.39077931e+01, 2.65730342e+00, -3.60413663e+01,\n 9.18200786e+01, 7.29590837e+01, 9.19595199e+01, 1.31959942e+02,\n 1.31960349e+02, 1.83960601e+02, 1.71960490e+02, 1.90960615e+02,\n 1.93960726e+02, 1.97960823e+02, 2.04960904e+02, 1.75117943e+02,\n 2.10950593e+02, 1.21950507e+02, 2.24950669e+02, 2.53699879e+02,\n 2.19600161e+02, 4.49502788e+01, 1.73776481e+02, 1.14949781e+02,\n 2.19510332e+01, 3.19516326e+01, 2.62951935e+02, 1.94989547e+01,\n 7.19504619e+01, 1.65020853e+01, -3.49461866e+00, 1.94960098e+01,\n 3.98906164e+01, 1.11618410e+01, -6.15542527e+00, -8.30309495e+00,\n 2.69503657e+01, -6.70503603e+01, 1.14949742e+02, -3.49131331e+00,\n -5.00078409e+01, 1.95005354e+02, 2.71644017e+02, 1.17643761e+02,\n 3.00391370e+01, 2.98480393e+01, 2.25369771e+01, 9.56789013e+00,\n -4.45936234e-01, 6.80953584e+02, 2.53822960e+02, 2.44950690e+02,\n 2.66832727e+02, 1.34954098e+02, 2.98480610e+01, 1.93960617e+02,\n 1.46957846e+02, 3.79950212e+02, 2.19960820e+02, 1.01953978e+02,\n 1.24949798e+02, 8.59576948e+01, 4.09502708e+01, 2.17960920e+02,\n 2.97958880e+02, 2.85951949e+02, 2.94987808e+01, 2.16959731e+02,\n -3.36831880e+02, -3.32737378e+02, -6.11753854e+02, -5.74277398e+02,\n -5.34449725e+02, -5.54872345e+02, -5.39786139e+02, -5.81772343e+02,\n -5.67777237e+02, -5.43781837e+02, -5.27787474e+02, -5.18788431e+02,\n -4.90789060e+02, -4.48789661e+02, -5.29789048e+02, -5.19791902e+02,\n -4.58792824e+02, -4.19793142e+02, -4.63157152e+02, -5.98763945e+02,\n -5.88770263e+02, -5.78776295e+02, -5.70782021e+02, -5.59787453e+02,\n -5.20788428e+02, -5.16788130e+02, -2.48700491e+02, -4.78352668e+02,\n -4.60788440e+02, -4.77789909e+02, -4.10791989e+02, -4.85789106e+02,\n -3.75846842e+02, -1.77935745e+01, 5.23043850e+01, -4.06756046e+02,\n -4.06755890e+02, -3.44756146e+02, -4.84692720e+02, -5.40014324e+02,\n -3.93493307e+02, -4.25143347e+02, -4.11754480e+02, -4.10934216e+02,\n -4.06755276e+02, -2.11832205e+02, -1.99835889e+02, -1.73839864e+02,\n 1.26156588e+02, 2.36155927e+02, 2.66155849e+02, 3.66155645e+02,\n -1.06756537e+02, 2.66154772e+02, 3.66154029e+02, -1.65832287e+02,\n -1.55832662e+02, -4.16251953e+02, -5.17754114e+02, -5.26298353e+02,\n -3.90711214e+02, -3.03837797e+02, -2.69843387e+02, -2.41817318e+02,\n -1.60848787e+02, -1.41854152e+02, -1.01859182e+02, -1.01863536e+02,\n -4.98643126e+01, -6.18670778e+01, -4.28702777e+01, -3.98731341e+01,\n -3.58756455e+01, -2.88778108e+01, -9.74009013e+01, -2.08788017e+01,\n -2.08795763e+01, -6.78030280e+01, -6.78027233e+01, -6.17877938e+01,\n -6.17887447e+01, -5.47718835e+01, -5.47722125e+01, -4.47556157e+01,\n -3.47565814e+01, 9.42052287e+01, 1.17204331e+02, 1.93475034e+01,\n 5.52439890e+01, 1.63902772e+01, -3.56700879e+00, 1.93047190e+01,\n 4.03044373e+01, 1.82622092e+01, 2.72616800e+01, -8.93174458e+00,\n -1.13921887e+02, -8.16123086e+01, -2.57375774e+01, -7.35391691e+01,\n -5.41138691e+01, -3.52536919e+00, 1.87606436e+01, -3.67844952e+02,\n -5.20787783e+02, -1.00586010e+01, -6.81633337e+01, -5.61117864e+01,\n -6.97002330e+01, 4.37244427e+00, -7.14692009e+01, -9.47922625e+01,\n 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-2.90465315e-04,\n -2.93223360e+00, -2.48998238e+00, -4.78938934e+01, -3.04037956e-05,\n 2.89066455e-04, -2.94723368e-05, -2.82665084e+00, -2.88018853e+00,\n -2.97157995e+00, -3.02119784e+00, -3.02297149e+00, -3.03478558e+00,\n -3.08157950e+00, -3.10015022e+00, -3.10686001e+00, -2.73535314e+00,\n -2.76445830e+00, -2.79732412e+00, -2.82614865e+00, 3.52197531e-04,\n -2.85911612e+00, -2.85720064e+00, -2.86841138e+00, -4.92562414e-05,\n -4.97276653e-05, -3.47010733e-05, -2.88576701e+00, -2.88110551e+00,\n -2.90486330e+00, -4.81207336e-05, -2.91641225e+00, -7.40526729e-05,\n -2.72552014e+00, -2.72439931e+00, -2.73548011e+00, -1.81601819e-05,\n -2.93530125e+00, -3.03429334e+00, -3.05396844e+00, -3.04877618e+00,\n -3.05084019e+00, -2.73476520e+00, -3.06167708e+00, -3.06825724e+00,\n -2.95326826e+00, -2.70264508e+00, -2.99311189e+00, -3.18583296e+00,\n -3.24689198e+00, -3.32229849e+00, -3.33716418e+00, -3.36372283e+00,\n -3.38042021e+00, -3.38866730e+00, -3.38904408e+00, -3.36747069e+00,\n -2.70667324e+00, -2.57153271e+00, -2.40495117e+00, -2.40162727e+00,\n -2.93209884e+00, -2.94120474e+00, -2.40972014e+00, -8.91684173e+00,\n -2.22440679e+00, -2.50212727e+00, -2.51638503e+00, -7.64838777e-06,\n -1.78434226e-04, -3.07016184e-04, -2.50346153e+00, -2.91903671e-05,\n -2.05196150e-05, -1.25315935e-04, -5.69911599e-05, -3.37746736e-05,\n -2.86907243e+00, -1.05158058e-04, -1.40044648e-04, -9.96913147e-05,\n -3.09273340e+00, -2.70451348e+00, -2.50499711e+00, -2.51836392e+00,\n -2.88182167e+00, -3.09273340e+00, -3.06896573e+00, -2.50474943e+00,\n -2.88821467e+00, -3.09273340e+00, -2.70051765e+00, -3.03512073e+00,\n -2.94359980e+00, -2.74217638e+00, -3.10880765e+00, -2.70190378e+00,\n -2.50536680e+00, -3.33022345e+00, -2.70051765e+00, -3.25105526e+00,\n -3.07231384e+00, -2.49425802e+00, -2.70208826e+00, -2.71039456e+00,\n -2.42524144e+00, -2.70208826e+00, -2.49425802e+00, -2.50329720e+00,\n -2.50499711e+00, -2.51836392e+00, -2.50474943e+00, -2.49425802e+00,\n -3.06440200e+00, -3.39563068e+00, -2.50717576e+00, -2.50474943e+00,\n -2.96913328e+00, -2.70893159e+00, -3.39563068e+00, -2.86199819e+00,\n -3.08978011e+00, -2.94359980e+00, -2.22527154e+00, -2.22473165e+00,\n -2.53212579e+00, -3.06896573e+00, -2.69896996e+00]), y=array([ 2.84306391e+05, 8.16689999e+04, 1.13937440e+03, ...,\n 0.00000000e+00, 0.00000000e+00, -1.65436123e-18], shape=(2144,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2144,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 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2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved inaccurate', status_val=2, status_polish=0, obj_val=-1208847863.4009597, prim_res=0.16594677931834667, dual_res=6.391402854022398, iter=10000, rho_updates=4, rho_estimate=1.9430822116583156e-05, setup_time=0.001144083, solve_time=0.334675375, update_time=0.0, polish_time=0.0, run_time=0.335819458))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3130, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "shell", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:18:25", + "solve_time": 0.03891897201538086, + "status": "OPTIMAL", + "primal_objective_value": 1208825346.0, + "dual_objective_value": 1208825346.0, + "duality_gap": 0.0, + "primal_infeasibility": 0.8209979541371544, + "dual_infeasibility": 0.0, + "iterations": null, + "memo": { + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 1208825346.0, + "solver_stats": { + "solver_name": "SCIP" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3125, + "solver_name": "cvxpy_scs", + "solver_version": "cvxpy-1.6.5-SCS-3.2.7.post2", + "problem_library": "NETLIB", + "problem_name": "shell", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:18:21", + "solve_time": 0.28185510635375977, + "status": "OPTIMAL", + "primal_objective_value": 1208864092.0576096, + "dual_objective_value": 1208863904.9615493, + "duality_gap": 187.0960602760315, + "primal_infeasibility": 8.337178143001064e-06, + "dual_infeasibility": 1.5402034548411636e-08, + "iterations": 4550, + "memo": { + "solver_solve_time": 0.271168166, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 1208863904.9615493, + "solver_stats": { + "solve_time": 0.271168166, + "setup_time": 0.001537416, + "num_iters": 4550, + "solver_name": "SCS", + "extra_stats": { + "x": "[-3.93421850e+03 2.56612628e+02 1.48702472e+02 4.56704600e+01\n 3.35684046e+02 -3.93346708e+03 3.35753522e+02 1.21671759e+02\n -1.95179962e+01 -3.05667632e+01 1.18848765e+02 2.46206697e+02\n 2.25251666e+02 -1.15018993e+01 8.31162073e+01 1.21726403e+02\n 1.85082269e+02 1.52397424e+02 3.34065066e+02 4.19884728e+01\n 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-6.71766327e+04 -4.79490099e+04\n -5.43079305e+04 -9.28279334e+04 -8.48702595e+04 -7.20046008e+04\n -5.02568718e+04 -5.03710068e+04 -9.41762673e+04 -5.43243534e+04\n -5.49218006e+04 -6.68912451e+04 -9.10434449e+04 -9.29623591e+04\n -7.41832338e+04 -5.36307422e+04 -5.01576994e+04]", + "y": "[284296.72008871 81669.06602577 1140.06700015 ... 0.\n 0. 0. ]", + "s": "[ 0. 0. 0. ... 74183.23384851\n 53630.74217818 50157.69935647]", + "info": { + "status_val": 1, + "iter": 4550, + "scale_updates": 2, + "scale": 2.6178376754765895, + "pobj": -1208863904.9615493, + "dobj": -1208864092.0576098, + "res_pri": 0.6337735355188023, + "res_dual": 4.431597129090332, + "gap": 187.09606059985617, + "res_infeas": NaN, + "res_unbdd_a": 3.3544520375935674e-06, + "res_unbdd_p": 0.0, + "comp_slack": 2.987378587819985e-08, + "solve_time": 271.168166, + "setup_time": 1.537416, + "lin_sys_time": 212.05909899999898, + "cone_time": 25.52424000000055, + "accel_time": 5.227596000000077, + "rejected_accel_steps": 39, 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5.20748600e+03,\n 4.71428435e+03, 4.98915514e+03, 0.00000000e+00, 0.00000000e+00,\n 4.61845553e+03, 4.90317082e+03, 4.84782132e+03, 4.80675261e+03,\n 4.84161594e+03, 4.86242953e+03, 4.64420153e+03, 4.69937153e+03,\n 4.78764355e+03, 4.92127753e+03, 4.74841153e+03, 4.72634353e+03,\n 0.00000000e+00, 4.79254753e+03, 4.98993353e+03, 4.81216353e+03,\n 4.74702204e+03, 4.83300553e+03, 4.92250353e+03, 4.87777756e+03,\n 5.11253354e+03, 4.84290028e+03, 4.90533954e+03, 0.00000000e+00,\n 4.90012110e+03, 4.87777756e+03, 4.90533953e+03, 4.74194091e+03,\n 4.89185353e+03, 4.83809132e+03, 4.75454145e+03, 4.87777756e+03,\n 5.39357120e+03, 4.87777756e+03, 4.87777756e+03, 5.00662889e+03,\n 4.73124753e+03, 4.75111266e+03, 4.77783553e+03, 4.82074544e+03,\n 4.85875153e+03, 4.72879553e+03, 4.81338953e+03, 4.98088289e+03,\n 4.82932753e+03, 4.91882553e+03, 4.75331545e+03, 4.73492553e+03,\n 4.74194091e+03, 4.61575042e+03, 4.74194091e+03, 4.75576823e+03,\n 4.74194091e+03, 4.84526545e+03, 4.95928353e+03, 4.74194091e+03,\n 4.74194091e+03, 4.84425127e+03, 4.87101146e+03, 4.84425127e+03,\n 0.00000000e+00, 0.00000000e+00, 4.94457146e+03, 4.83500256e+03,\n 5.27955320e+03, 5.22070520e+03, 5.13950554e+03, 5.39357120e+03,\n 5.17411720e+03, 0.00000000e+00, 5.15789547e+03, 5.56888920e+03,\n 5.09659553e+03, 5.16063120e+03, 5.58237520e+03, 5.39479720e+03,\n 5.15176554e+03, 5.44506291e+03, 5.23296520e+03, 4.87777756e+03,\n 0.00000000e+00, 5.30652491e+03, 4.80902147e+03, 4.99115953e+03,\n 0.00000000e+00, 0.00000000e+00, 2.81465073e+03, 3.06755759e+03,\n 2.87662828e+03, 2.68444394e+03, 2.86285400e+03, 2.82153794e+03,\n 2.81402594e+03, 2.83906594e+03, 2.84282195e+03, 2.90917794e+03,\n 2.77145794e+03, 2.80964394e+03, 0.00000000e+00, 2.80901794e+03,\n 2.98241994e+03, 2.86410594e+03, 2.79627821e+03, 2.78084794e+03,\n 2.78397794e+03, 2.75518194e+03, 2.88476395e+03, 2.82466794e+03,\n 2.78898595e+03, 0.00000000e+00, 3.39286114e+03, 2.68267325e+03,\n 2.89415394e+03, 2.98470609e+03, 2.80901794e+03, 2.86798589e+03,\n 2.94213559e+03, 2.78272594e+03, 3.37595914e+03, 2.81652994e+03,\n 2.68267325e+03, 3.01287644e+03, 2.87474794e+03, 2.87725194e+03,\n 2.84031794e+03, 2.97593956e+03, 2.88726794e+03, 2.80651394e+03,\n 2.86973994e+03, 2.99973044e+03, 2.86723594e+03, 2.96426594e+03,\n 2.94150959e+03, 2.82842394e+03, 2.89568117e+03, 2.87066141e+03,\n 2.89568117e+03, 2.88601620e+03, 2.89568117e+03, 2.87066141e+03,\n 2.86848794e+03, 2.89568117e+03, 3.02602209e+03, 2.89916194e+03,\n 3.00160557e+03, 2.87525197e+03, 0.00000000e+00, 0.00000000e+00,\n 2.89568117e+03, 2.87641943e+03, 3.31774114e+03, 3.28769314e+03,\n 2.97052595e+03, 3.37595914e+03, 3.26390514e+03, 0.00000000e+00,\n 3.01058998e+03, 3.46547714e+03, 2.97052594e+03, 3.25701914e+03,\n 3.12239523e+03, 3.37658514e+03, 2.93546995e+03, 3.11325395e+03,\n 3.29395314e+03, 2.68267325e+03, 0.00000000e+00, 3.12639995e+03,\n 2.72137704e+03, 2.91606394e+03, 0.00000000e+00, 0.00000000e+00,\n 4.99184169e+03, 5.48715414e+03, 5.11294908e+03, 4.73684022e+03,\n 5.08625868e+03, 5.00533421e+03, 4.99062221e+03, 5.03966222e+03,\n 5.04701819e+03, 5.17697422e+03, 4.90725422e+03, 4.98204022e+03,\n 0.00000000e+00, 4.98081422e+03, 5.32041622e+03, 5.08870222e+03,\n 4.95827736e+03, 4.92564422e+03, 4.93177422e+03, 4.87537830e+03,\n 5.12916020e+03, 5.01146422e+03, 4.94158220e+03, 0.00000000e+00,\n 6.12665793e+03, 5.06786030e+03, 5.14755022e+03, 5.32731889e+03,\n 4.98081422e+03, 5.10954420e+03, 5.24392143e+03, 4.92932230e+03,\n 6.09355593e+03, 4.99552630e+03, 4.88641230e+03, 5.38247046e+03,\n 5.10954422e+03, 5.11444821e+03, 5.04211422e+03, 5.31012536e+03,\n 5.13406422e+03, 4.97591022e+03, 5.09973621e+03, 5.35672446e+03,\n 5.09483221e+03, 5.28486222e+03, 5.24269543e+03, 5.01882022e+03,\n 5.38861889e+03, 5.40330143e+03, 5.35306489e+03, 5.13161130e+03,\n 5.42785089e+03, 5.33464543e+03, 5.09728421e+03, 5.36900289e+03,\n 5.40823489e+03, 5.15735821e+03, 5.36039120e+03, 5.11935221e+03,\n 0.00000000e+00, 0.00000000e+00, 5.38861889e+03, 5.13852971e+03,\n 5.97953793e+03, 5.92068993e+03, 5.29712220e+03, 6.09355593e+03,\n 5.87410193e+03, 0.00000000e+00, 5.37558626e+03, 6.26887393e+03,\n 5.29712222e+03, 5.86061593e+03, 6.28235993e+03, 6.09478193e+03,\n 5.22846620e+03, 5.57665020e+03, 5.93294993e+03, 5.19536430e+03,\n 0.00000000e+00, 5.60239620e+03, 4.80917475e+03, 5.19046022e+03,\n 0.00000000e+00, 0.00000000e+00, -4.74097442e+03, 1.33761840e-06,\n -3.42839051e+03, 8.89191201e-04, -6.03696774e-04, -4.32859111e-06,\n 3.34168836e-07, 3.16574430e-06, -3.16805436e+01, -5.20868070e+01,\n -6.34930013e+01, 2.44816407e-04, -1.11564459e+02, -1.16000286e+02,\n -1.09680632e+02, -1.14577167e+02, 7.37294592e-05, -3.78958873e-04,\n -3.43908604e+01, -7.41541796e+01, -2.67299973e+01, -1.16000662e+02,\n -1.87015802e+01, -6.94848098e+01, -5.79988603e+01, -5.80015449e+01,\n -3.86244904e+00, 1.18355997e-06, -5.80000677e+01, -5.80002426e+01,\n -3.51481917e+00, -5.79991604e+01, -1.15993749e+02, -1.16001788e+02,\n -1.18909605e+01, -7.55144219e-05, -1.16007974e+02, -1.15999154e+02,\n -1.27533700e+01, -1.16000502e+02, 2.46860075e-04, 3.27005900e-02,\n -3.86343515e-05, 8.89191201e-04, -6.03696774e-04, 8.53908789e+01,\n 1.31953512e+02, 4.39058489e+01]), y=array([ 1.90904227e+02, 2.51033893e+01, 3.11062594e+01, ...,\n -7.50374823e-17, 0.00000000e+00, 0.00000000e+00], shape=(1506,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(1506,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 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2.73139420e+02, 2.73187026e+02, 2.73139420e+02, 2.73141559e+02,\n 2.73139420e+02, 2.73138375e+02, 2.73139420e+02, 2.73138375e+02,\n 2.73138375e+02, 2.73138375e+02, 2.73138375e+02, 2.73139420e+02,\n 2.73139420e+02, 2.73141559e+02, 2.73139420e+02, 2.73139420e+02,\n 2.73139420e+02, 2.73139420e+02, 2.73141559e+02, 2.73139420e+02,\n 2.73141559e+02, 2.73139420e+02, 2.73139420e+02, 2.73139420e+02,\n 2.73141559e+02, 2.73140968e+02, 2.73140968e+02, 2.73140195e+02,\n 2.73141559e+02, 2.73139420e+02, 2.73141559e+02, 2.73141559e+02,\n 2.73141559e+02, 2.73141559e+02, 2.73141559e+02, 2.73141559e+02,\n 0.00000000e+00, 0.00000000e+00, 2.73141559e+02, 2.73143212e+02,\n 2.73138375e+02, 2.73138375e+02, 2.73138375e+02, 2.73138375e+02,\n 2.73138375e+02, 0.00000000e+00, 2.73146667e+02, 2.73138375e+02,\n 2.73139420e+02, 2.73138375e+02, 2.70021760e+02, 2.73139420e+02,\n 2.73138375e+02, 2.73138375e+02, 2.73137323e+02, 2.73138375e+02,\n 0.00000000e+00, 2.73138375e+02, 2.73139928e+02, 2.73139420e+02,\n 0.00000000e+00, 0.00000000e+00, -2.18389958e+04, -2.47507601e-06,\n -1.26050967e-03, -1.07566540e+04, 3.32264199e-03, 8.44143815e-05,\n -4.33518521e-05, -1.65925959e-05, -4.18952806e+01, -7.79260422e+01,\n -4.15225787e+01, 1.58099818e-03, -6.47602403e+01, -2.91767646e+01,\n -2.37069809e+01, -7.79903361e+01, 1.85486092e-03, -1.14130515e-03,\n -7.27901975e+01, -1.51275480e-03, -7.09809576e+01, -7.23611828e+01,\n -7.19989744e+01, -7.70590444e+01, -1.37422593e+01, -1.95455529e-03,\n -5.08198418e+01, -7.29787741e+01, -7.71039104e+01, -6.25864130e+01,\n -5.24627842e+01, -7.21688988e+01, -2.40945356e-03, -2.44808590e-03,\n -5.18566149e-03, -3.03252072e+00, -3.10284853e-03, -7.89187190e-03,\n -1.76686794e-02, -5.18566084e-03, -4.28281511e+01, -2.28186369e-03,\n -2.90732529e+01, -2.96086896e-03, -7.56464555e+01, -7.48043117e+01,\n -7.60621385e+01, -7.69004093e+01, -7.78771961e+01, -7.76301453e+01,\n -6.94259461e+01, 4.25620637e-04, -7.78869025e+01, -4.75761425e+01,\n -2.07402662e+01, -7.79718688e+01, -7.79479202e+01, -8.75004037e-01,\n -2.00261148e+01, -7.80259320e+01, -5.04285189e+01, -7.79963049e+01,\n -3.37133116e+01, -6.41001404e+01, -1.93244817e-03, -1.96343720e-03,\n -3.60892058e-03, -2.80854457e+00, -1.85812726e-03, -5.50841591e-03,\n -1.33418198e-02, -3.60892170e-03, 8.45145893e-04, 4.90209562e+00,\n -1.26050967e-03, -1.21698643e-03, 3.32264199e-03, 2.42678389e+01,\n 7.27675202e+01, 9.14408264e-01]), y=array([ 5.25998152e-02, 5.13203384e+01, 3.00993954e+01, ...,\n 0.00000000e+00, 0.00000000e+00, -8.93715251e-21], shape=(4363,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(4363,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved', status_val=1, status_polish=-1, obj_val=-1909061.8633382064, prim_res=0.15955166136620846, dual_res=0.0006713212243752099, iter=2600, rho_updates=3, rho_estimate=1.2336192978628816e-05, setup_time=0.002506625, solve_time=0.132175958, update_time=0.0, polish_time=0.000263958, run_time=0.13494654100000003))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3157, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "ship08l", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:18:45", + "solve_time": 0.10445404052734375, + "status": "OPTIMAL", + "primal_objective_value": 1908901.8119481318, + "dual_objective_value": 1909055.2113891314, + "duality_gap": -153.3994409996085, + "primal_infeasibility": 0.9706546563745053, + "dual_infeasibility": 2.280450959143422e-21, + "iterations": null, + "memo": { + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 1909055.2113891314, + "solver_stats": { + "solver_name": "SCIP" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3152, + "solver_name": "cvxpy_scs", + "solver_version": "cvxpy-1.6.5-SCS-3.2.7.post2", + "problem_library": "NETLIB", + "problem_name": "ship08l", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:18:41", + "solve_time": 0.33757591247558594, + "status": "OPTIMAL", + "primal_objective_value": 1909057.4790497075, + "dual_objective_value": 1909055.345101215, + "duality_gap": 2.13394849258475, + "primal_infeasibility": 8.233401641686219e-06, + "dual_infeasibility": 7.680053148320857e-11, + "iterations": 3675, + "memo": { + "solver_solve_time": 0.318054833, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 1909055.345101215, + "solver_stats": { + "solve_time": 0.318054833, + "setup_time": 0.00335, + "num_iters": 3675, + "solver_name": "SCS", + "extra_stats": { + "x": "[ 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 0.00000000e+00 0.00000000e+00\n 0.00000000e+00 0.00000000e+00 5.29245203e+03 5.74215087e+03\n 5.37115756e+03 5.07507146e+03 5.38471556e+03 5.31378146e+03\n 5.30070146e+03 5.34430146e+03 5.35084146e+03 5.46638146e+03\n 5.22658146e+03 5.29307146e+03 0.00000000e+00 5.29198146e+03\n 5.59391146e+03 5.38790146e+03 5.13720146e+03 5.24293146e+03\n 5.24838146e+03 5.19824146e+03 5.42387146e+03 5.31923146e+03\n 5.25710146e+03 6.88878623e+03 5.45439146e+03 5.36937146e+03\n 5.44022146e+03 5.39662146e+03 5.29198146e+03 5.40643146e+03\n 5.35084146e+03 5.24620146e+03 5.56012146e+03 5.30506146e+03\n 5.20805146e+03 5.47837146e+03 5.40643146e+03 5.41079146e+03\n 5.34648146e+03 5.39880146e+03 5.42823146e+03 5.28762146e+03\n 5.39771146e+03 5.41515146e+03 5.39335146e+03 5.56230146e+03\n 5.37373146e+03 5.32577146e+03 5.49036146e+03 5.47292146e+03\n 5.44349146e+03 5.36755073e+03 5.52415146e+03 5.44894146e+03\n 5.39553146e+03 5.47292146e+03 5.33013146e+03 5.44894146e+03\n 5.34103146e+03 5.41515146e+03 0.00000000e+00 0.00000000e+00\n 5.47728146e+03 5.36690085e+03 5.49799146e+03 5.68111146e+03\n 5.57320146e+03 5.84025146e+03 5.75305146e+03 0.00000000e+00\n 5.64296145e+03 5.69637146e+03 5.57320146e+03 5.76940146e+03\n 6.42401055e+03 5.76177146e+03 5.51216146e+03 5.82172146e+03\n 5.85987146e+03 5.47898292e+03 0.00000000e+00 5.84461146e+03\n 5.13938236e+03 5.47837146e+03 0.00000000e+00 0.00000000e+00\n 5.07207432e+03 4.81030254e+03 5.19097478e+03 5.06681758e+03\n 5.35450364e+03 5.31883384e+03 5.09811384e+03 5.15391393e+03\n 5.24319397e+03 5.00622231e+03 5.20351393e+03 5.18119393e+03\n 0.00000000e+00 5.24815393e+03 5.00746232e+03 5.15750231e+03\n 5.13749768e+03 5.25786164e+03 5.26397764e+03 5.20693748e+03\n 5.26662245e+03 5.34457763e+03 5.27389748e+03 6.85271425e+03\n 5.33978231e+03 5.40161797e+03 5.16246231e+03 5.37339384e+03\n 5.31357763e+03 5.35094245e+03 5.20971393e+03 5.26149748e+03\n 5.30630245e+03 5.32845748e+03 5.21809748e+03 5.32627393e+03\n 5.18615393e+03 5.11286246e+03 5.23066676e+03 5.27668173e+03\n 5.18230231e+03 5.18367393e+03 5.26923384e+03 5.26923393e+03\n 5.28535384e+03 5.14882231e+03 5.20847393e+03 5.18987393e+03\n 5.47370245e+03 5.37091397e+03 5.48375613e+03 5.13839114e+03\n 5.51723384e+03 5.30147393e+03 5.40426246e+03 5.51941782e+03\n 5.35697782e+03 5.43663384e+03 5.32751384e+03 5.39571384e+03\n 0.00000000e+00 0.00000000e+00 5.40191384e+03 5.30604430e+03\n 5.19098245e+03 5.13146245e+03 5.09798245e+03 5.30630245e+03\n 5.08434245e+03 0.00000000e+00 5.61767388e+03 5.48362245e+03\n 5.26290231e+03 5.07070245e+03 5.49726267e+03 5.30754231e+03\n 5.14758245e+03 5.35838245e+03 5.14386260e+03 5.30010245e+03\n 0.00000000e+00 5.21826245e+03 5.11987274e+03 5.04838231e+03\n 0.00000000e+00 0.00000000e+00 5.24365063e+03 5.41317874e+03\n 5.53866675e+03 5.41683959e+03 5.53219407e+03 5.48718253e+03\n 5.28213145e+03 5.33793219e+03 5.42721198e+03 5.56237219e+03\n 5.38753219e+03 5.36521219e+03 0.00000000e+00 5.41510647e+03\n 5.61033894e+03 5.45201219e+03 5.27165112e+03 5.44528726e+03\n 5.43017998e+03 5.41396615e+03 5.75581282e+03 5.51752094e+03\n 5.52867876e+03 7.03658193e+03 5.66041304e+03 5.81336418e+03\n 5.54625219e+03 5.47082583e+03 5.53261219e+03 5.67573031e+03\n 5.39373219e+03 5.46216707e+03 5.86741282e+03 5.49252735e+03\n 5.33537498e+03 5.51029219e+03 5.37017219e+03 5.42473145e+03\n 5.41729219e+03 5.46069219e+03 5.49913219e+03 5.36769219e+03\n 5.45325145e+03 5.45325219e+03 5.46937145e+03 5.55989219e+03\n 5.39249219e+03 5.37389219e+03 5.52592756e+03 5.53803075e+03\n 5.46068012e+03 5.38525258e+03 5.56216535e+03 5.48549219e+03\n 5.60081145e+03 5.49574448e+03 5.56400927e+03 5.62065145e+03\n 5.49589149e+03 5.51693988e+03 0.00000000e+00 0.00000000e+00\n 5.54549056e+03 5.47478794e+03 5.79178717e+03 5.73433762e+03\n 5.70085762e+03 5.90917762e+03 5.68721762e+03 0.00000000e+00\n 5.80169258e+03 5.98397282e+03 5.73969219e+03 5.67357762e+03\n 6.10013888e+03 5.82897219e+03 5.75045762e+03 5.96125762e+03\n 5.74673870e+03 5.61814981e+03 0.00000000e+00 5.82113764e+03\n 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5.58054443e+03,\n 5.61633134e+03, 5.68902104e+03, 5.44981905e+03, 5.50437908e+03,\n 5.49693851e+03, 5.54033905e+03, 5.67662104e+03, 5.44733851e+03,\n 5.53289908e+03, 5.66298104e+03, 5.54901908e+03, 5.63953905e+03,\n 5.47213851e+03, 5.45353851e+03, 5.50557501e+03, 5.32478917e+03,\n 5.50557501e+03, 5.47462005e+03, 5.58229914e+03, 5.56513851e+03,\n 5.68045908e+03, 5.50557501e+03, 5.50557501e+03, 5.70029908e+03,\n 5.58229914e+03, 5.58229914e+03, 0.00000000e+00, 0.00000000e+00,\n 5.50557501e+03, 5.57811640e+03, 5.89385046e+03, 5.83433046e+03,\n 5.80085046e+03, 6.00917046e+03, 5.78721046e+03, 0.00000000e+00,\n 5.88133874e+03, 6.18649046e+03, 5.81933905e+03, 5.77357046e+03,\n 6.20013046e+03, 6.01041046e+03, 5.85044897e+03, 6.06124897e+03,\n 5.84673046e+03, 5.61633134e+03, 0.00000000e+00, 5.92112897e+03,\n 5.55028470e+03, 5.75125046e+03, 0.00000000e+00, 0.00000000e+00,\n 3.31538165e+02, 3.31760831e+02, 3.32831744e+02, 3.33380596e+02,\n 3.32510666e+02, 3.28315411e+02, 3.32890234e+02, 3.32891931e+02,\n 3.28315411e+02, 3.32891931e+02, 3.28315411e+02, 3.28315411e+02,\n 0.00000000e+00, 3.30327115e+02, 3.32891931e+02, 3.32891931e+02,\n 3.30535725e+02, 3.36213269e+02, 3.32891931e+02, 3.32980443e+02,\n 3.32980443e+02, 3.36213269e+02, 3.36213269e+02, 3.28315411e+02,\n 3.28518759e+02, 3.36213269e+02, 3.29027548e+02, 3.30415043e+02,\n 3.36213269e+02, 3.36213269e+02, 3.28315411e+02, 3.36213269e+02,\n 3.32980443e+02, 3.32980443e+02, 3.36213269e+02, 3.29027548e+02,\n 3.32891931e+02, 3.32890234e+02, 3.28315411e+02, 3.32891931e+02,\n 3.29027548e+02, 3.28315411e+02, 3.32890234e+02, 3.29027548e+02,\n 3.32890234e+02, 3.32891931e+02, 3.28315411e+02, 3.28315411e+02,\n 3.30415043e+02, 3.28315411e+02, 3.30415043e+02, 3.32320458e+02,\n 3.32890234e+02, 3.28315411e+02, 3.32890234e+02, 3.30415043e+02,\n 3.30415043e+02, 3.32890234e+02, 3.32890234e+02, 3.32890234e+02,\n 0.00000000e+00, 0.00000000e+00, 3.30415043e+02, 3.32877698e+02,\n 3.28518759e+02, 3.28518759e+02, 3.28518759e+02, 3.28518759e+02,\n 3.28518759e+02, 0.00000000e+00, 3.33039241e+02, 3.28518759e+02,\n 3.32891931e+02, 3.28518759e+02, 3.28518759e+02, 3.28518759e+02,\n 3.32980443e+02, 3.32980443e+02, 3.28518759e+02, 3.36213269e+02,\n 0.00000000e+00, 3.32980443e+02, 3.32777109e+02, 3.28518759e+02,\n 0.00000000e+00, 0.00000000e+00, 5.05169460e+03, 4.68341034e+03,\n 5.30042264e+03, 5.09581589e+03, 5.47409307e+03, 5.44754886e+03,\n 5.15384936e+03, 5.22809933e+03, 5.34689886e+03, 4.94411034e+03,\n 5.29409886e+03, 5.26439886e+03, 0.00000000e+00, 5.35349887e+03,\n 4.94576034e+03, 5.14541034e+03, 5.31570265e+03, 5.34991622e+03,\n 5.35816589e+03, 5.28226600e+03, 5.29061036e+03, 5.46541622e+03,\n 5.37136622e+03, 5.10860976e+03, 5.38796012e+03, 5.54131622e+03,\n 5.69861177e+03, 5.52014889e+03, 5.42416622e+03, 5.59741622e+03,\n 5.30234886e+03, 5.35486622e+03, 5.34341036e+03, 5.44396600e+03,\n 5.29711622e+03, 5.43791177e+03, 5.24771034e+03, 5.08601033e+03,\n 5.33369886e+03, 5.30711034e+03, 5.42141177e+03, 5.26769886e+03,\n 5.33516033e+03, 5.40326177e+03, 5.40290467e+03, 5.13386034e+03,\n 5.30069886e+03, 5.27594886e+03, 5.66204889e+03, 5.51684886e+03,\n 5.66699889e+03, 5.17841109e+03, 5.71154936e+03, 5.42444886e+03,\n 5.47376033e+03, 5.76269889e+03, 5.54984889e+03, 5.54306033e+03,\n 5.45909936e+03, 5.54984936e+03, 0.00000000e+00, 0.00000000e+00,\n 5.55809889e+03, 5.40637783e+03, 5.18996012e+03, 5.11076012e+03,\n 5.06621012e+03, 5.34341012e+03, 5.04806012e+03, 0.00000000e+00,\n 5.84519932e+03, 5.57936012e+03, 5.28566034e+03, 5.02991012e+03,\n 5.59751012e+03, 5.34506012e+03, 5.13221036e+03, 5.41271036e+03,\n 5.12726012e+03, 5.71291622e+03, 0.00000000e+00, 5.22626036e+03,\n 5.19315923e+03, 5.00021012e+03, 0.00000000e+00, 0.00000000e+00,\n 4.88466617e+03, 5.38158620e+03, 5.00734578e+03, 4.62882628e+03,\n 4.97937627e+03, 5.20743605e+03, 4.88343628e+03, 4.93263628e+03,\n 5.13240605e+03, 5.07039628e+03, 5.09304605e+03, 5.07090605e+03,\n 0.00000000e+00, 5.13732605e+03, 5.21430628e+03, 4.98183628e+03,\n 4.81260625e+03, 4.81824628e+03, 4.82439628e+03, 4.76781628e+03,\n 5.02242628e+03, 4.90434628e+03, 4.83423628e+03, 4.95185168e+03,\n 5.98479611e+03, 4.96092628e+03, 5.43252622e+03, 5.18283624e+03,\n 4.87359628e+03, 5.00274628e+03, 5.09919605e+03, 4.82193628e+03,\n 5.17617628e+03, 4.88835628e+03, 4.77888628e+03, 5.23818622e+03,\n 5.00274628e+03, 5.00766628e+03, 5.12256605e+03, 4.99413628e+03,\n 5.22588622e+03, 5.07336605e+03, 4.99290628e+03, 5.21235622e+03,\n 4.98798628e+03, 5.17863628e+03, 5.09796605e+03, 5.07951605e+03,\n 5.24433624e+03, 5.25909605e+03, 5.20866624e+03, 5.02488625e+03,\n 5.13558628e+03, 5.19021605e+03, 4.99044628e+03, 5.22465624e+03,\n 5.26401624e+03, 5.05071628e+03, 4.92894628e+03, 5.01258628e+03,\n 0.00000000e+00, 0.00000000e+00, 5.24433624e+03, 5.00639812e+03,\n 5.83719611e+03, 5.77815611e+03, 5.74494611e+03, 5.95158611e+03,\n 5.73141611e+03, 0.00000000e+00, 5.26965628e+03, 6.12747611e+03,\n 5.19093628e+03, 5.71788611e+03, 5.44490634e+03, 5.95281611e+03,\n 5.12205628e+03, 5.47137628e+03, 5.79045611e+03, 5.08884628e+03,\n 0.00000000e+00, 5.49720628e+03, 4.70139627e+03, 5.69574611e+03,\n 0.00000000e+00, 0.00000000e+00, 4.94957781e+03, 4.60848126e+03,\n 5.05986294e+03, 5.17411813e+03, 5.18828831e+03, 5.24448733e+03,\n 4.94412827e+03, 5.03568827e+03, 5.17799733e+03, 4.79806827e+03,\n 5.14311733e+03, 5.12349733e+03, 0.00000000e+00, 5.18235733e+03,\n 4.79915827e+03, 4.93104827e+03, 5.19216733e+03, 5.41997797e+03,\n 5.29789732e+03, 5.25102732e+03, 5.02696827e+03, 5.49627797e+03,\n 5.43414797e+03, 5.01735236e+03, 5.09127827e+03, 5.54641797e+03,\n 5.32296809e+03, 5.29244733e+03, 5.46902797e+03, 5.58347797e+03,\n 5.14856733e+03, 5.42324797e+03, 5.06184827e+03, 5.33979827e+03,\n 5.38509797e+03, 5.15074809e+03, 4.99862827e+03, 4.89180827e+03,\n 5.16927733e+03, 5.03786827e+03, 5.13984809e+03, 5.12567733e+03,\n 5.05639827e+03, 5.12785809e+03, 5.10108827e+03, 4.92341827e+03,\n 5.14747733e+03, 5.13112733e+03, 5.38618733e+03, 5.29026733e+03,\n 5.38945733e+03, 4.95284819e+03, 5.31908827e+03, 5.22922733e+03,\n 5.14795827e+03, 5.41452832e+03, 5.31206733e+03, 5.19373827e+03,\n 5.16866827e+03, 5.22534827e+03, 0.00000000e+00, 0.00000000e+00,\n 5.31751733e+03, 5.12922334e+03, 4.96047827e+03, 4.90815827e+03,\n 4.87872827e+03, 5.06184827e+03, 4.86673827e+03, 0.00000000e+00,\n 5.45703809e+03, 5.21771827e+03, 5.02369827e+03, 4.85474827e+03,\n 4.61619976e+03, 5.06293827e+03, 4.92232827e+03, 5.10762827e+03,\n 4.91905827e+03, 5.65977797e+03, 0.00000000e+00, 4.98445827e+03,\n 5.15157906e+03, 4.83512827e+03, 0.00000000e+00, 0.00000000e+00,\n 3.62101761e+02, 3.62319782e+02, 3.63368346e+02, 3.64248457e+02,\n 3.63053325e+02, 3.58885340e+02, 3.63415262e+02, 3.63416850e+02,\n 3.58885340e+02, 3.63416850e+02, 3.58885340e+02, 3.58885340e+02,\n 0.00000000e+00, 3.60883242e+02, 3.63416850e+02, 3.63416850e+02,\n 3.61089653e+02, 3.66653841e+02, 3.63416850e+02, 3.63502663e+02,\n 3.63502663e+02, 3.66653841e+02, 3.66653841e+02, 3.58885340e+02,\n 3.59087688e+02, 3.66653841e+02, 3.59596456e+02, 3.60969309e+02,\n 3.66653841e+02, 3.66653841e+02, 3.58885340e+02, 3.66653841e+02,\n 3.63502663e+02, 3.63502663e+02, 3.66653841e+02, 3.59596456e+02,\n 3.63416850e+02, 3.63415262e+02, 3.58885340e+02, 3.63416850e+02,\n 3.59596456e+02, 3.58885340e+02, 3.63415262e+02, 3.59596456e+02,\n 3.63415262e+02, 3.63416850e+02, 3.58885340e+02, 3.58885340e+02,\n 3.60969309e+02, 3.58885340e+02, 3.60969309e+02, 3.62869634e+02,\n 3.63415262e+02, 3.58885340e+02, 3.63415262e+02, 3.60969309e+02,\n 3.60969309e+02, 3.63415262e+02, 3.63415262e+02, 3.63415262e+02,\n 0.00000000e+00, 0.00000000e+00, 3.60969309e+02, 3.63403615e+02,\n 3.59087688e+02, 3.59087688e+02, 3.59087688e+02, 3.59087688e+02,\n 3.59087688e+02, 0.00000000e+00, 3.63561900e+02, 3.59087688e+02,\n 3.63416850e+02, 3.59087688e+02, 3.59087688e+02, 3.59087688e+02,\n 3.63502663e+02, 3.63502663e+02, 3.59087688e+02, 3.66653841e+02,\n 0.00000000e+00, 3.63502663e+02, 3.63314119e+02, 3.59087688e+02,\n 0.00000000e+00, 0.00000000e+00, -2.64610667e+04, -6.10502756e-05,\n 9.27747152e-03, -9.24746634e+03, 1.39011671e-03, 4.93800158e-05,\n -8.03247113e-05, -1.55003120e-05, -7.33639885e+01, -7.80030427e+01,\n -4.34542953e+01, -1.38809504e-05, -7.80240234e+01, -7.80006602e+01,\n -9.29587301e+00, -7.80108662e+01, 1.06658400e-02, -5.74036769e-04,\n -5.23007638e+01, -2.99903695e-03, -6.75403312e+01, -7.79735659e+01,\n -6.54094437e+01, -7.79389908e+01, -4.45095260e+00, -1.86365090e-03,\n -7.55266690e+01, -7.80021498e+01, -7.60129156e+01, -7.80010096e+01,\n -4.41506979e+01, -6.99504171e+01, -1.01929117e-01, -8.47767160e-02,\n -2.39747083e-03, -6.23958214e+00, -2.60622088e-02, -3.94955408e-02,\n -6.42386502e-04, -2.30305530e-03, -6.75042589e+01, 2.10153766e-04,\n -4.16462519e+01, -3.40107477e-04, -7.19668253e+01, -7.80006872e+01,\n -7.49803707e+01, -7.79936685e+01, -7.79998909e+01, -7.79999197e+01,\n -3.24514213e+01, -6.86606364e-06, -7.79999839e+01, -7.79999735e+01,\n -1.30217821e+01, -7.79999887e+01, -7.79995424e+01, -1.73670267e+01,\n -2.26364414e+01, -7.79998557e+01, -7.80000319e+01, -7.79999193e+01,\n -6.99740384e+01, -6.50709877e+01, -8.12304030e-02, -6.75620142e-02,\n -1.91049339e-03, -5.78066772e+00, -2.07739281e-02, -3.14777360e-02,\n -5.11906236e-04, -1.83776156e-03, -7.42795991e-03, 4.67906270e+00,\n 9.27747152e-03, -1.80955481e-02, 1.39011671e-03, 2.49146522e+01,\n 3.27274889e+01, 1.90197346e+00]), y=array([6.32221244e+00, 4.96196486e+01, 3.16414551e+01, ...,\n 0.00000000e+00, 1.58829930e-17, 0.00000000e+00], shape=(2467,)), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, ...,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09], shape=(2467,)), dual_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), info=namespace(_pybind11_conduit_v1_=>, status='solved inaccurate', status_val=2, status_polish=0, obj_val=-1920104.9642216195, prim_res=0.5643477948922282, dual_res=0.0022703729329475743, iter=10000, rho_updates=3, rho_estimate=1.4055948618336701e-05, setup_time=0.001193041, solve_time=0.318121666, update_time=0.0, polish_time=0.0, run_time=0.31931470700000003))" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3166, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "ship08s", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:18:58", + "solve_time": 0.053750038146972656, + "status": "OPTIMAL", + "primal_objective_value": 1917213.78818602, + "dual_objective_value": 1920098.2105346196, + "duality_gap": -2884.422348599648, + "primal_infeasibility": 0.9731007583251243, + "dual_infeasibility": 2.858710367026821e-21, + "iterations": null, + "memo": { + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "optimal", + "cvxpy_value": 1920098.2105346196, + "solver_stats": { + "solver_name": "SCIP" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3161, + "solver_name": "cvxpy_scs", + "solver_version": "cvxpy-1.6.5-SCS-3.2.7.post2", + "problem_library": "NETLIB", + "problem_name": "ship08s", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" 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139.86921230201798, + 0, + 0.9999999927358542, + 111.5438515666367 + ], + "termcode": 0, + "iter": 1, + "obj": [ + 137662432.7754755, + 0 + ], + "gap": 15355398079.353594, + "relgap": 111.5438515666367, + "pinfeas": 2183.134524067779, + "dinfeas": 53.09009525117606, + "cputime": 0.07940999999999576, + "time": { + "preproc": 0.026379999999996073, + "pred": 0.04684299999999553, + "pred_pstep": 0.0016460000000009245, + "pred_dstep": 0.00045899999999932106, + "corr": 0, + "corr_pstep": 0, + "corr_dstep": 0, + "pchol": 0, + "dchol": 0, + "misc": 0 + }, + "resid": [], + "reldist": [], + "normX": 19327.638149695267, + "normy": 0, + "normZ": 794478.764576607, + "normb": 62.34238666931319, + "maxb": 31, + "normC": 14832.590929339447, + "maxC": 5630, + "normA": 91.68568491964405, + "msg1": "stop: difficulty in computing corrector directions", + "msg2": [], + "msg3": [], + "model": 1 + } + } + }, + "matlab_version": "24.1.0.2537033 (R2024a)", + "solver_backend": "sdpt3", + "execution_environment": "matlab", + "original_status": { + "termcode": 0, + "iter": 1, + "full_info": { + "dimacs": [ + 4390.381182276145, + 0, + 139.86921230201798, + 0, + 0.9999999927358542, + 111.5438515666367 + ], + "termcode": 0, + "iter": 1, + "obj": [ + 137662432.7754755, + 0 + ], + "gap": 15355398079.353594, + "relgap": 111.5438515666367, + "pinfeas": 2183.134524067779, + "dinfeas": 53.09009525117606, + "cputime": 0.07940999999999576, + "time": { + "preproc": 0.026379999999996073, + "pred": 0.04684299999999553, + "pred_pstep": 0.0016460000000009245, + "pred_dstep": 0.00045899999999932106, + "corr": 0, + "corr_pstep": 0, + "corr_dstep": 0, + "pchol": 0, + "dchol": 0, + "misc": 0 + }, + "resid": [], + "reldist": [], + "normX": 19327.638149695267, + "normy": 0, + "normZ": 794478.764576607, + "normb": 62.34238666931319, + "maxb": 31, + "normC": 14832.590929339447, + "maxC": 5630, + "normA": 91.68568491964405, + "msg1": "stop: difficulty in computing corrector directions", + "msg2": [], + "msg3": [], + "model": 1 + } + }, + "problem_class": "LP" + } + }, + { + "id": 3460, + "solver_name": "matlab_sedumi", + "solver_version": "SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a))", + "problem_library": "NETLIB", + "problem_name": "ship12s", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770560.0 + }, + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205", + "timestamp": "2026-07-05T12:50:45", + "solve_time": 0.23217658333333333, + "status": "OPTIMAL", + "primal_objective_value": 1489236.1344059445, + "dual_objective_value": 1489236.1344061294, + "duality_gap": 1.8486753106117249e-07, + "primal_infeasibility": 2.5392323166672774e-12, + "dual_infeasibility": 1.970754883354152e-20, + "iterations": 17, + "memo": { + "matlab_output": { + "solver_name": "SeDuMi", + "status": "optimal", + "solve_time": 0.23217658333333333, + "setup_time": [], + "iterations": 17, + "primal_objective_value": 1489236.1344059445, + "dual_objective_value": 1489236.1344061294, + "duality_gap": 1.8486753106117249e-07, + "primal_infeasibility": 2.5392323166672774e-12, + "dual_infeasibility": 1.970754883354152e-20, + "solver_version": "SeDuMi-1.3.7", + "solver_options": {}, + "termination_reason": "Optimal solution found", + "error_message": "", + "timestamp": "2026-07-05 21:50:43", + "matlab_version": "24.1.0.2537033 (R2024a)", + "original_status": { + "pinf": 0, + "dinf": 0, + "numerr": 0, + "iter": 17, + "feasratio": 1, + "full_info": { + "iter": 17, + "feasratio": 1, + "pinf": 0, + "dinf": 0, + "numerr": 0, + "r0": 5.10647422628294e-12, + "timing": [ + 0.06329677999019623, + 0.14787688851356506, + 0.0028464943170547485 + ], + "wallsec": 0.21402016282081604, + "cpusec": 0.5700000000000003 + } + } + }, + "matlab_version": "24.1.0.2537033 (R2024a)", + "solver_backend": "sedumi", + "execution_environment": "matlab", + "original_status": { + "pinf": 0, + "dinf": 0, + "numerr": 0, + "iter": 17, + "feasratio": 1, + "full_info": { + "iter": 17, + "feasratio": 1, + "pinf": 0, + "dinf": 0, + "numerr": 0, + "r0": 5.10647422628294e-12, + "timing": [ + 0.06329677999019623, + 0.14787688851356506, + 0.0028464943170547485 + ], + "wallsec": 0.21402016282081604, + "cpusec": 0.5700000000000003 + } + }, + "problem_class": "LP" + } + }, + { + "id": 3177, + "solver_name": "scipy_linprog", + "solver_version": "scipy-1.15.3", + "problem_library": "NETLIB", + "problem_name": "ship12s", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:15", + "solve_time": 0.030409812927246094, + "status": "OPTIMAL", + "primal_objective_value": 1489236.13440613, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": 0.0, + "dual_infeasibility": null, + "iterations": 493, + "memo": { + "solver_solve_time": 0.030409812927246094, + "original_status": { + "scipy_status": 0, + "scipy_success": true, + "scipy_message": "Optimization terminated successfully. (HiGHS Status 7: Optimal)", + "scipy_fun": 1489236.13440613, + "scipy_nit": 493, + "scipy_crossover_nit": 0, + "scipy_mip_dual_bound": 0.0, + "scipy_mip_gap": 0.0, + "scipy_mip_node_count": 0 + }, + "problem_class": "LP" + } + }, + { + "id": 3187, + "solver_name": "cvxpy_clarabel", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:30", + "solve_time": 0.5411760807037354, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:30 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:30 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:30 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:30 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_clarabel\n2026-07-05 18:19:30 - python_solver_runner - INFO - Solving sierra with cvxpy_clarabel\n2026-07-05 18:19:30 - solver_cvxpy_clarabel - INFO - Initialized CVXPY solver 'cvxpy_clarabel' with backend 'CLARABEL'\n2026-07-05 18:19:30 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:30 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3191, + "solver_name": "cvxpy_cvxopt", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:33", + "solve_time": 0.583975076675415, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:33 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:33 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:33 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:33 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_cvxopt\n2026-07-05 18:19:33 - python_solver_runner - INFO - Solving sierra with cvxpy_cvxopt\n2026-07-05 18:19:33 - solver_cvxpy_cvxopt - INFO - Initialized CVXPY solver 'cvxpy_cvxopt' with backend 'CVXOPT'\n2026-07-05 18:19:33 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:33 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3189, + "solver_name": "cvxpy_ecos", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:32", + "solve_time": 0.5188949108123779, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:32 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:32 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:32 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:32 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_ecos\n2026-07-05 18:19:32 - python_solver_runner - INFO - Solving sierra with cvxpy_ecos\n2026-07-05 18:19:32 - solver_cvxpy_ecos - INFO - Initialized CVXPY solver 'cvxpy_ecos' with backend 'ECOS'\n2026-07-05 18:19:32 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:32 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3194, + "solver_name": "cvxpy_highs", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:34", + "solve_time": 0.573657751083374, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:34 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:34 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:34 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:34 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_highs\n2026-07-05 18:19:34 - python_solver_runner - INFO - Solving sierra with cvxpy_highs\n2026-07-05 18:19:34 - solver_cvxpy_highs - INFO - Initialized CVXPY solver 'cvxpy_highs' with backend 'HIGHS'\n2026-07-05 18:19:34 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:34 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3190, + "solver_name": "cvxpy_osqp", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:32", + "solve_time": 0.5368080139160156, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:32 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:32 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:32 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:32 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_osqp\n2026-07-05 18:19:32 - python_solver_runner - INFO - Solving sierra with cvxpy_osqp\n2026-07-05 18:19:32 - solver_cvxpy_osqp - INFO - Initialized CVXPY solver 'cvxpy_osqp' with backend 'OSQP'\n2026-07-05 18:19:32 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:32 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3193, + "solver_name": "cvxpy_scip", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:34", + "solve_time": 0.5441789627075195, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:34 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:34 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:34 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:34 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_scip\n2026-07-05 18:19:34 - python_solver_runner - INFO - Solving sierra with cvxpy_scip\n2026-07-05 18:19:34 - solver_cvxpy_scip - INFO - Initialized CVXPY solver 'cvxpy_scip' with backend 'SCIP'\n2026-07-05 18:19:34 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:34 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3188, + "solver_name": "cvxpy_scs", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:31", + "solve_time": 0.5767953395843506, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:31 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:31 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:31 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:31 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_scs\n2026-07-05 18:19:31 - python_solver_runner - INFO - Solving sierra with cvxpy_scs\n2026-07-05 18:19:31 - solver_cvxpy_scs - INFO - Initialized CVXPY solver 'cvxpy_scs' with backend 'SCS'\n2026-07-05 18:19:31 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:31 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3192, + "solver_name": "cvxpy_sdpa", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:33", + "solve_time": 0.5370082855224609, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:33 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:33 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:33 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:33 - python_solver_runner - INFO - Subprocess solving sierra with cvxpy_sdpa\n2026-07-05 18:19:33 - python_solver_runner - INFO - Solving sierra with cvxpy_sdpa\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/cvxpy/problems/problem.py:1504: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n warnings.warn(\n/Users/naoki/.pyenv_arm64/versions/3.12.2/lib/python3.12/site-packages/sdpap/sdpaputils.py:114: RuntimeWarning: k >= N - 1 for N * N square matrix. Attempting to use scipy.linalg.eig instead.\n eig = eigs(mat.toarray(), k=1, which='SM',\n2026-07-05 18:19:33 - solver_cvxpy_sdpa - INFO - Initialized CVXPY solver 'cvxpy_sdpa' with backend 'SDPA'\n2026-07-05 18:19:33 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:33 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3463, + "solver_name": "matlab_sdpt3", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770560.0 + }, + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205", + "timestamp": "2026-07-05T12:50:59", + "solve_time": 4.64649224281311, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "Error: Index exceeds the number of array elements. Index must not exceed 3.; Original error: Index exceeds the number of array elements. Index must not exceed 3.", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3462, + "solver_name": "matlab_sedumi", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770560.0 + }, + "commit_hash": "d073ec31c915c0a3602ffc386cee55ff783cc205", + "timestamp": "2026-07-05T12:50:55", + "solve_time": 4.828107118606567, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "Error: Index exceeds the number of array elements. Index must not exceed 3.; Original error: Index exceeds the number of array elements. Index must not exceed 3.", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3186, + "solver_name": "scipy_linprog", + "solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "sierra", + "problem_type": "UNKNOWN", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:30", + "solve_time": 0.5156638622283936, + "status": "SUBPROCESS_ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "returncode": 1, + "error_type": "SUBPROCESS_ERROR", + "error_message": "2026-07-05 18:19:30 - problem_interface - INFO - Loaded 217 problems from registry\n2026-07-05 18:19:30 - problem_interface - INFO - Initialized problem interface with 217 problems\n2026-07-05 18:19:30 - python_solver_runner - INFO - Initialized Python interface (lazy solver detection)\n2026-07-05 18:19:30 - python_solver_runner - INFO - Subprocess solving sierra with scipy_linprog\n2026-07-05 18:19:30 - python_solver_runner - INFO - Solving sierra with scipy_linprog\n2026-07-05 18:19:30 - solver_scipy_linprog - INFO - Initialized SciPy solver with method 'highs'\n2026-07-05 18:19:30 - mps_loader - INFO - Loading MPS file: /Users/naoki/PycharmProjects/optimization-solver-benchmark/problems/NETLIB/mps_files/sierra.mps\n2026-07-05 18:19:30 - python_solver_runner - ERROR - Subprocess failed: Failed to load problem sierra: list index out of range", + "problem_class": "UNKNOWN" + } + }, + { + "id": 3196, + "solver_name": "cvxpy_clarabel", + "solver_version": "cvxpy-1.6.5-CLARABEL-0.11.0", + "problem_library": "NETLIB", + "problem_name": "stair", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:36", + "solve_time": 0.012068748474121094, + "status": "UNBOUNDED", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": 12, + "memo": { + "solver_solve_time": 0.007336581, + "original_status": { + "cvxpy_status": "unbounded", + "cvxpy_value": Infinity, + "solver_stats": { + "solve_time": 0.007336581, + "num_iters": 12, + "solver_name": "CLARABEL" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3200, + "solver_name": "cvxpy_cvxopt", + "solver_version": "cvxpy-1.6.5-CVXOPT-1.3.2", + "problem_library": "NETLIB", + "problem_name": "stair", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:38", + "solve_time": 0.41972804069519043, + "status": "UNBOUNDED", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "iteration_info_limitation": "CVXOPT does not provide iteration count through CVXPY", + "solver_solve_time": null, + "original_status": { + "cvxpy_status": "unbounded", + "cvxpy_value": Infinity, + "solver_stats": { + "solver_name": "CVXOPT" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3198, + "solver_name": "cvxpy_ecos", + "solver_version": "cvxpy-1.6.5-ECOS-2.0.14", + "problem_library": "NETLIB", + "problem_name": "stair", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:19:37", + "solve_time": 0.00904703140258789, + "status": "UNBOUNDED", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": 10, + "memo": { + "solver_solve_time": 0.004704291, + "original_status": { + "cvxpy_status": "unbounded", + "cvxpy_value": Infinity, + "solver_stats": { + "solve_time": 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1.72005667e+02 9.84196647e+01 4.62060920e+01\n 1.20155333e+02 3.89268822e+01 9.14044274e+01 2.26016832e+02\n 1.28845125e+02 4.44440543e+01 3.25652548e+02 3.69355894e+01\n 2.38173585e+02 8.83902993e+00 5.47236485e+00 9.42995664e+00\n 1.47077839e+01 1.02146435e+01 6.13648049e+00 1.10603464e+01\n 5.57420485e+00 9.08565964e+00 1.88981966e+01 1.13827656e+01\n 4.74033822e+00 2.89597413e+01 3.42488620e+00 1.95978918e+01\n 1.79635254e+00 1.37951260e+00 1.45503566e+00 3.81082261e+00\n 5.41380189e+00 7.44866962e+00 5.04715179e+01 7.69012888e+02\n 3.24004032e+00 5.03236366e+00 7.18734237e+00 4.26273375e+07\n 4.90943604e+00 8.41994464e+00 8.46447519e+00 4.26273351e+07\n 2.84745794e+00 4.78079403e+00 7.30890050e+00 1.93774842e+01\n 1.04288930e+01 2.72880714e+00 4.15945156e+00 3.04753458e+00\n 4.07541353e+00 5.19551394e+00 4.39105796e+00 4.45342463e+00\n 4.94369737e+00 3.89486667e+00 4.50317448e+00 7.97781060e+00\n 2.98217230e+00 9.62270356e+00 1.62986760e+00 3.17759969e+00\n 1.11046594e+00 1.00544012e+00 1.47218207e+00 1.91818857e+00\n 2.76155657e+00 2.89164476e-01 3.21693886e+00 5.53039778e+00\n 3.95228677e+00 4.27486514e+00 5.45776876e+00 4.80722631e+00\n 4.75782627e+00 5.18276508e+00 4.08921293e+00 5.07236224e+00\n 9.22326472e+00 2.97814354e+00 8.33878920e+00 1.63205771e+00\n 3.15863357e+00 1.19705637e+00 1.20040878e+00 1.66741965e+00\n 2.19812653e+00 3.24345759e+00 3.37357488e-01 4.14386335e+00\n 6.44405489e+00 4.51462241e+00 5.18088891e+00 6.30019249e+00\n 5.43732636e+00 5.70334190e+00 5.38318087e+00 4.57467905e+00\n 6.62661984e+00 1.28333395e+01 3.41969998e+00 8.93467205e+00\n 1.91312670e+00 3.56892248e+00 1.23084523e+00 1.35056325e+00\n 1.78677570e+00 1.91627557e+00 2.76178594e+00 6.42601442e-01\n 5.41255568e+00 8.02745661e+00 5.42227646e+00 6.80862708e+00\n 8.10713117e+00 6.22986344e+00 7.43469113e+00 5.44297495e+00\n 5.04566558e+00 8.90481032e+00 2.05622494e+01 3.67353648e+00\n 1.18340610e+01 2.05587202e+00 4.15692531e+00 1.33065379e+00\n 1.52534109e+00 1.95035367e+00 2.13173307e+00 3.06807100e+00\n 1.12050521e+00 6.38130058e+00 1.08238625e+01 6.61719760e+00\n 8.80821594e+00 1.02243884e+01 6.76933361e+00 1.08293669e+01\n 5.13512083e+00 5.70675862e+00 1.19629142e+01 3.05158815e+01\n 3.49841691e+00 1.68516494e+01 2.11426235e+00 4.36369523e+00\n 1.42951765e+00 1.70616131e+00 2.13376242e+00 2.40493783e+00\n 3.75840143e+00 2.26574484e+00 2.23722273e+01 6.56457414e+00\n 1.58016043e+01 7.77130441e+00 1.19215908e+01 9.92975283e+00\n 6.32665665e+00 1.76896758e+01 5.72980558e+00 6.66547915e+00\n 1.46099396e+01 2.74425131e+01 2.60895256e+00 2.25557596e+01\n 2.10329965e+00 3.55522009e+00 1.46305087e+00 1.79885203e+00\n 2.24930742e+00 2.60820577e+00 5.47217293e+00 5.90639043e+00\n 2.61693140e+00 1.18762333e+01 7.60339563e+00 8.19721221e+00\n 8.50754405e+00 7.19830795e+00 7.54436790e+00 7.59118699e+00\n 5.19061731e+00 6.63525732e+00 1.14111167e+01 3.04397038e+00\n 1.69137551e+01 2.87866958e+00 4.65015349e+00 8.53203880e-01\n 1.16273470e+00 1.53165195e+00 2.57295269e+00 2.57507082e+00\n 1.03825546e+00 1.75863102e+01 2.83020990e+00 2.57362196e+00\n 2.76329353e+00 2.56176572e+00 2.48162295e+00 2.55739694e+00\n 2.52558025e+00 2.49938210e+00 2.60947193e+00 2.52896608e+00\n 2.77168105e+00 7.88659621e-01 7.85324581e+00 4.06595934e+00\n 3.17015148e-01 4.00513373e+00 2.72125829e+00 2.39787059e+00\n 2.57840340e+00 2.52863581e+00 2.45189806e+00 2.52158434e+00\n 2.49836032e+00 2.46929513e+00 2.61209341e+00 2.51600662e+00\n 2.75183919e+00 9.57338487e-01 8.49854877e+00 3.89728069e+00\n 2.70298111e+00 2.42721250e+00 2.58318331e+00 2.53811826e+00\n 2.50125433e+00 2.56194454e+00 2.53053713e+00 2.52520610e+00\n 2.64646799e+00 2.53942451e+00 2.74677704e+00 8.86027015e-01\n 8.25867333e+00 3.96859227e+00 2.75060537e+00 2.55630728e+00\n 2.67431245e+00 2.61227280e+00 2.61166953e+00 2.66868292e+00\n 2.62547515e+00 2.65281214e+00 2.74062172e+00 2.63235547e+00\n 2.78193569e+00 8.88489661e-01 6.55656976e+00 3.96612986e+00\n 2.73183989e+00 2.58054631e+00 2.66458920e+00 2.59731028e+00\n 2.61981961e+00 2.66739066e+00 2.61502466e+00 2.66537920e+00\n 2.72784808e+00 2.61411330e+00 2.71597639e+00 8.95084588e-01\n 4.50525881e+00 3.95953493e+00 2.34818759e+00 2.12935437e+00\n 2.18394585e+00 2.12245008e+00 2.17186845e+00 2.18857610e+00\n 2.16404951e+00 2.19101517e+00 2.25395368e+00 2.24984721e+00\n 2.36469703e+00 7.99112725e-01 8.36096497e-01 4.05550691e+00]", + "s": "[3.20327189e+05 4.59765985e+05 5.92287742e+05 3.93369317e+05\n 6.06664448e+05 4.53290715e+05 2.49596599e+05 4.49004555e+05\n 8.12233561e+05 2.18849949e+05 1.81952409e+06 2.52706556e+05\n 6.61952082e+05 1.57589177e+04 5.70118600e+04 7.83187274e+06\n 2.77520183e+06 2.65516215e+06 8.08832323e+05 9.32579277e+05\n 8.94628437e+05 1.01466813e+06 7.58732981e+05 4.28095050e+05\n 1.15226526e+06 7.63382752e+05 5.19004874e+05 1.86221224e+05\n 1.74317221e+05 1.46030658e+06 1.29797557e+06 1.40880355e+06\n 1.29988870e+06 1.26057332e+06 1.30276097e+06 1.29065447e+06\n 1.26216605e+06 1.32302155e+06 1.28996083e+06 2.05468151e+05\n 6.84435473e+04 1.42712018e+06 3.94409977e+06 6.27701886e+05\n 2.15999281e+06 6.38590719e+06 4.63476956e+04 6.77304523e+05\n 2.86042995e+06 4.08573233e+04 1.49995823e+05 7.11359636e+04\n 3.77401547e+04 5.71356657e+04 1.01368243e+05 6.62318259e+04\n 1.38922316e+05 8.75503629e+04 4.40272101e+04 4.64453963e+04\n 1.56557818e+05 4.26144910e+04 1.09583913e+05 2.79845956e+04\n 5.67714014e+05 5.92277637e+05 4.28905317e+05 3.50651584e+05\n 4.69327187e+05 6.85568265e+05 4.23256895e+05 7.06229160e+05\n 4.91045439e+05 2.55112593e+05 3.88255146e+05 8.43048465e+05\n 1.89432227e+05 1.49706021e+06 2.15720594e+05 9.32703123e+05\n 4.31954648e+05 1.11235198e+06 3.56775987e+05 2.15999585e+06\n 2.86114353e+04 1.44586419e+04 5.32705667e+04 2.09092169e+04\n 6.07811365e+06 2.34252797e+06 2.38253388e+06 7.28519312e+05\n 9.98934575e+05 6.64132141e+05 6.24126246e+05 6.38249751e+05\n 3.94163342e+05 1.13011291e+06 7.18171247e+05 4.76790142e+05\n 1.65597106e+05 1.74483218e+05 1.43644876e+06 1.25694109e+06\n 1.33829502e+06 1.32136443e+06 1.28654991e+06 1.31545668e+06\n 1.31084128e+06 1.28563637e+06 1.35166775e+06 1.31483274e+06\n 2.08533854e+05 5.80637663e+04 1.46095846e+06 4.16732560e+06\n 6.05260413e+05 1.76838943e+06 6.04995433e+06 2.54652030e+04\n 3.85245846e+04 1.09879613e+05 5.87799439e+04 3.22833997e+04\n 4.77668637e+04 8.39134701e+04 5.41834353e+04 1.07847670e+05\n 6.85705481e+04 3.47999591e+04 3.83900027e+04 1.20656101e+05\n 3.15922630e+04 9.49727983e+04 2.38683890e+04 5.09060880e+05\n 6.23547442e+05 4.17575194e+05 3.05596365e+05 4.03140459e+05\n 6.10218742e+05 3.41152300e+05 6.49982536e+05 4.04857024e+05\n 2.08053696e+05 3.63503952e+05 7.00021308e+05 1.58997599e+05\n 1.22871371e+06 1.86914412e+05 9.25345462e+05 8.06723697e+05\n 6.25879412e+05 7.71127355e+05 4.14273599e+05 1.05308221e+06\n 2.31438776e+05 5.72096375e+06 1.99667583e+04 1.33034100e+04\n 5.31894568e+04 4.07650865e+03 5.50963579e+05 6.61237305e+05\n 3.79311363e+05 3.13680097e+05 5.93357858e+05 3.38238268e+05\n 1.10604518e+06 6.69403265e+05 4.33254682e+05 1.47347117e+05\n 1.73968014e+05 1.43175851e+06 1.27629739e+06 1.34566013e+06\n 1.34062352e+06 1.30970400e+06 1.33024266e+06 1.32795023e+06\n 1.31038547e+06 1.36708755e+06 1.33576935e+06 2.13479183e+05\n 5.42467466e+04 1.47414097e+06 6.86013625e+06 5.71626808e+05\n 1.18305551e+06 8.30036644e+06 2.36046626e+04 3.52538295e+04\n 8.67546012e+04 4.85797086e+04 2.79761370e+04 4.01222347e+04\n 6.91004867e+04 4.38607488e+04 8.55525624e+04 5.34050971e+04\n 2.77186922e+04 3.29051709e+04 9.13450710e+04 2.70986403e+04\n 8.02868726e+04 2.10651454e+04 4.41106037e+05 5.71659439e+05\n 3.72127529e+05 2.66019900e+05 3.33955245e+05 5.23161818e+05\n 2.65526173e+05 5.69278921e+05 3.28939993e+05 1.58626288e+05\n 3.07120270e+05 5.81814946e+05 1.35759791e+05 1.06680554e+06\n 1.81430973e+05 8.92223517e+05 1.11396292e+06 1.28850610e+06\n 9.13173859e+05 5.26326975e+05 3.33767591e+05 1.31266873e+06\n 1.60671984e+05 2.02550832e+04 4.07800110e+07 1.23202886e+04\n 5.45041508e+04 1.15583919e+04 4.49154671e+05 5.47335053e+05\n 3.24334465e+05 2.79995569e+05 4.90820897e+05 2.59424531e+05\n 1.07670368e+06 6.20465091e+05 3.91490285e+05 1.31396260e+05\n 1.72759714e+05 1.44617646e+06 1.31947537e+06 1.38290536e+06\n 1.37780429e+06 1.34988798e+06 1.36467339e+06 1.36483974e+06\n 1.35358148e+06 1.40540871e+06 1.37427054e+06 2.47501987e+05\n 4.86765021e+04 1.49534776e+06 3.17078522e+07 5.11886879e+05\n 7.16470264e+05 3.27277335e+07 1.92026422e+04 3.23835317e+04\n 7.07107479e+04 4.10692230e+04 2.46797838e+04 3.40307763e+04\n 5.77620402e+04 3.61338049e+04 6.95138606e+04 4.26037313e+04\n 2.26160902e+04 2.85204907e+04 7.07490512e+04 2.30424965e+04\n 6.94226839e+04 1.88343268e+04 3.90063049e+05 4.92915460e+05\n 3.26732570e+05 2.30217451e+05 2.74084396e+05 4.40093259e+05\n 1.94197796e+05 4.85493364e+05 2.68106339e+05 1.10597624e+05\n 2.46930120e+05 5.04234064e+05 1.25102205e+05 9.81664036e+05\n 1.81784400e+05 1.07268929e+06 1.20864560e+06 1.24091941e+06\n 6.96352079e+05 4.58275310e+05 3.20624997e+05 1.52294809e+06\n 1.13264128e+05 1.57987646e+05 1.70854358e+04 1.15910510e+04\n 5.50757738e+04 1.63569644e+04 3.81922613e+05 5.08871298e+05\n 3.02995683e+05 2.55271588e+05 4.20036198e+05 1.49776128e+05\n 1.04530823e+06 5.71494720e+05 3.51983868e+05 1.17129968e+05\n 1.74182045e+05 1.51641286e+06 1.40303546e+06 1.46515392e+06\n 1.46182384e+06 1.43130434e+06 1.44098483e+06 1.44693051e+06\n 1.43668245e+06 1.49544892e+06 1.45553134e+06 3.30079616e+05\n 4.13732252e+04 1.56417699e+06 2.14766562e+07 5.16889534e+05\n 3.35188189e+05 2.21512043e+07 1.43325016e+04 3.00549459e+04\n 5.87976430e+04 3.54860197e+04 2.21473619e+04 2.92454811e+04\n 4.90221798e+04 3.01257845e+04 5.75494079e+04 3.48962419e+04\n 1.83997513e+04 2.44498557e+04 5.61390630e+04 2.05793164e+04\n 6.10317614e+04 1.73751304e+04 3.81872089e+05 3.78060234e+05\n 2.66687934e+05 1.90920713e+05 2.05811431e+05 3.36164757e+05\n 1.22174605e+05 3.73222703e+05 2.30198753e+05 5.93183896e+04\n 1.55939881e+05 4.79361153e+05 1.21704482e+05 9.56957089e+05\n 1.54442310e+05 1.20823572e+06 1.35681287e+06 1.25229601e+06\n 6.26957997e+05 4.17225423e+05 3.04088835e+05 1.97117102e+06\n 7.55767893e+04 3.45729595e+05 1.29519197e+04 1.13582677e+04\n 5.35967843e+04 1.59933663e+04 4.88714248e+05 4.97521506e+05\n 2.93566077e+05 2.36233206e+05 5.60929664e+05 2.74067813e+05\n 1.00330822e+06 5.25613740e+05 3.15220379e+05 1.03491340e+05\n 1.79278199e+05 2.09352895e+06 1.94086356e+06 1.99512178e+06\n 2.00147149e+06 1.96478466e+06 1.96980976e+06 1.96614492e+06\n 1.97397490e+06 2.04640809e+06 1.98442452e+06 1.01823831e+06\n 3.83801487e+04 2.06763332e+06 4.23435845e+07 4.93258838e+05\n 1.94935995e+05 4.24361315e+07 1.27693652e+04 1.12091080e+04\n 4.69800243e+04 1.34445281e+04 3.00341141e+04 5.14290544e+04\n 3.21371977e+04 2.16011016e+04 2.70815352e+04 4.35535463e+04\n 2.64010700e+04 4.95265492e+04 3.11002533e+04 1.55839763e+04\n 1.95569271e+04 4.52795870e+04 2.17075294e+04 5.39637978e+04\n 1.68554293e+04 2.01780599e+05 3.85831978e+05 2.12272842e+05\n 1.45051439e+05 1.83485164e+05 3.00423839e+05 1.67626522e+05\n 3.61751872e+05 2.01637786e+05 1.06735805e+05 1.73870963e+05\n 5.20867595e+05 8.64330762e+04 1.30412990e+06 1.24198369e+05\n 1.48139568e+06 1.86404385e+06 1.62418157e+06 6.00398594e+05\n 3.97085562e+05 2.89025744e+05 6.20467069e+04 1.26242127e+04\n 6.44382960e+05 4.06003107e+05 2.85291243e+05 7.21035685e-02\n 5.14913905e+05 3.08616211e+05 2.94554770e+05 7.01048493e-02\n 9.69117321e+05 4.77164162e+05 2.81335789e+05 9.31170074e+04\n 1.54016007e+05 6.84967643e+05 4.28316095e+05 6.08632560e+05\n 4.29698651e+05 3.57783480e+05 4.40240231e+05 4.08108579e+05\n 3.66226590e+05 4.72860926e+05 4.09982654e+05 2.27658826e+05\n 6.88962568e+05 1.56280590e+05 1.49379870e+06 6.53152186e+05\n 4.67679078e+06 3.74421158e+06 2.84958319e+06 1.83491510e+06\n 1.07618222e+06 6.94772114e+06 5.20057888e+05 2.15412721e+05\n 3.54175421e+05 3.22700634e+05 2.67140743e+05 3.23085457e+05\n 3.04537100e+05 2.69445745e+05 3.84526132e+05 3.19207248e+05\n 1.92755197e+05 6.29977286e+05 1.45801296e+05 1.38186274e+06\n 5.69487085e+05 3.79052282e+06 2.79158831e+06 2.12745623e+06\n 1.50333002e+06 8.65080373e+05 4.65217775e+06 4.10505568e+05\n 1.46388306e+05 2.61735458e+05 2.49095753e+05 2.06284510e+05\n 2.44011561e+05 2.28617973e+05 2.09150987e+05 3.03582213e+05\n 2.47804203e+05 1.46067480e+05 5.34370172e+05 1.21664275e+05\n 1.15032469e+06 4.76800574e+05 2.91339483e+06 2.25215760e+06\n 1.87284629e+06 1.55916624e+06 9.65808474e+05 3.00434282e+06\n 3.16248365e+05 1.07805589e+05 2.08059684e+05 1.93126286e+05\n 1.60863709e+05 1.87096740e+05 1.74378758e+05 1.68188349e+05\n 2.49795985e+05 1.93617572e+05 1.12397356e+05 4.64222812e+05\n 1.03127596e+05 9.64950858e+05 3.91656462e+05 2.42325210e+06\n 1.87591711e+06 1.55158270e+06 1.27158719e+06 7.80766379e+05\n 1.80430900e+06 2.58307877e+05 8.22337177e+04 1.73048592e+05\n 1.59135253e+05 1.28682287e+05 1.46044000e+05 1.40613365e+05\n 1.39119934e+05 2.25779621e+05 1.59947612e+05 8.23720184e+04\n 4.40460147e+05 9.31240530e+04 8.73894495e+05 3.34149480e+05\n 2.09344162e+06 1.58457040e+06 1.28157477e+06 1.02630323e+06\n 6.06267124e+05 9.90261183e+05 7.31676928e+04 2.63739794e+05\n 6.20335402e+04 1.40998381e+05 1.35743936e+05 9.75340422e+04\n 1.09336138e+05 1.07753256e+05 1.16860901e+05 2.15566310e+05\n 1.41135055e+05 7.25433632e+04 6.01496935e+05 9.59178783e+04\n 9.60062222e+05 4.37351606e+05 1.98632528e+06 1.48880384e+06\n 1.19523782e+06 9.59004668e+05 3.98075092e+05 5.34425448e+05\n 4.06454852e+05 1.87518804e+05 2.93585567e+05 2.57567393e+05\n 1.98275722e+05 2.54641403e+05 2.24841930e+05 2.96516303e+05\n 3.69631253e+05 2.55572638e+05 1.81860488e+05 9.45619907e+05\n 1.66922927e+05 1.20151080e+06 5.81136132e+05 2.05884925e+06\n 1.54393542e+06 1.23531927e+06 9.40764581e+05 9.40764582e+05\n 2.27594841e+06 4.33516268e+05 1.11425560e+06 1.20857613e+06\n 1.13908765e+06 1.20910671e+06 1.24170650e+06 1.20143740e+06\n 1.22146255e+06 1.23485612e+06 1.18907729e+06 1.21889483e+06\n 1.12579188e+06 6.38590691e+06 2.38191606e+05 6.27702171e+05\n 7.62502559e+06 7.76113633e+05 1.12109180e+06 1.24622929e+06\n 1.18882053e+06 1.20336472e+06 1.22411010e+06 1.19707215e+06\n 1.21100511e+06 1.22089155e+06 1.17184255e+06 1.20032641e+06\n 1.13211015e+06 6.04995407e+06 2.09766488e+05 6.05260672e+05\n 1.12590258e+06 1.23455873e+06 1.18857432e+06 1.19617741e+06\n 1.20806913e+06 1.19088075e+06 1.20398190e+06 1.20588413e+06\n 1.16815498e+06 1.19261477e+06 1.14330996e+06 8.30036603e+06\n 2.14187593e+05 5.71627215e+05 1.13013237e+06 1.21187405e+06\n 1.17504995e+06 1.18488227e+06 1.18922854e+06 1.17778092e+06\n 1.19066526e+06 1.18559740e+06 1.15581700e+06 1.18085723e+06\n 1.14924818e+06 3.27277314e+07 2.39151692e+05 5.11888988e+05\n 1.13239819e+06 1.19509495e+06 1.16639854e+06 1.17698179e+06\n 1.17691527e+06 1.16923404e+06 1.18061035e+06 1.17185572e+06\n 1.14396251e+06 1.16987693e+06 1.16179862e+06 2.21512029e+07\n 3.89828109e+05 5.16890963e+05 9.84259294e+05 1.03330016e+06\n 1.00859354e+06 1.02019769e+06 1.02172076e+06 1.01494376e+06\n 1.01286181e+06 1.01158414e+06 9.85311917e+05 9.97759589e+05\n 9.98535606e+05 4.24361289e+07 4.20646385e+07 4.93261421e+05]", + "info": { + "exitFlag": 2, + "pcost": -2080075.3852333315, + "dcost": 237.12410305656192, + "pres": 0.008567951389708003, + "dres": 0.3735373383500872, + "pinf": 0.0, + "dinf": 1.0, + "pinfres": 4.226035606697682e-06, + "dinfres": 9.144170537685006e-09, + "gap": 0.001932413061384613, + "relgap": 9.29011070994355e-10, + "r0": 1e-08, + "iter": 10, + "mi_iter": -1, + "infostring": "Dual infeasible", + "timing": { + "runtime": 0.005177749000000001, + "tsetup": 0.000473458, + "tsolve": 0.004704291 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 3203, + "solver_name": "cvxpy_highs", + "solver_version": "cvxpy-1.6.5-HIGHS-1.11.0", + "problem_library": 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"original_status": { + "cvxpy_status": "unbounded", + "cvxpy_value": Infinity, + "solver_stats": { + "solve_time": 0.01753970794379711, + "solver_name": "HIGHS", + "extra_stats": "" + } + }, + "problem_class": "LP" + } + }, + { + "id": 3199, + "solver_name": "cvxpy_osqp", + "solver_version": "cvxpy-1.6.5-OSQP-1.0.4", + "problem_library": "NETLIB", + "problem_name": "stair", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + 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2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09]), y=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), prim_inf_cert=array([2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09, 2.14328934e+09, 2.14328934e+09,\n 2.14328934e+09, 2.14328934e+09]), dual_inf_cert=array([-3.18735995e-06, 3.18952180e-06, 3.83569298e-05, -2.38140175e-06,\n -1.08274520e-06, -1.83829712e-06, -6.30800559e-06, -1.03566248e-06,\n -1.34538632e-06, -2.78088797e-06, -7.94250064e-07, -2.70599081e-06,\n -2.08537213e-06, 5.62541153e-07, -4.65824319e-06, -9.84298384e-08,\n -1.10444652e-05, -1.79277452e-06, 4.20337820e-08, 6.00232571e-08,\n 2.31265681e-08, 1.57545950e-08, 6.45157748e-07, -7.61004558e-05,\n -8.14181884e-05, -4.82103210e-01, 3.50259619e-06, 1.18561820e-06,\n 2.18711086e-05, -4.66422677e-05, 5.62175219e-06, -4.82104304e-01,\n 7.64386164e-05, -4.36983019e-06, -2.16737716e-06, -7.25909147e-06,\n -4.46817309e-06, -5.55216421e-06, -6.57595390e-06, -9.83649106e-06,\n -4.23796630e-06, -9.83175785e-06, -6.74508253e-06, -1.33700244e-07,\n -7.72581977e-06, -9.20132184e-07, -1.82362989e-05, -1.95430513e-06,\n 4.74133292e-08, 2.31186246e-08, -5.30996280e-09, 1.51257737e-07,\n 2.18311141e-07, -6.45662781e-05, -6.91036344e-05, -5.01887951e-01,\n -9.59106466e-07, -4.48355273e-06, -2.86711683e-06, -1.16210886e-04,\n 7.90953845e-06, -5.23533662e-08, -8.27223646e-08, -5.99926548e-08,\n -5.01886621e-01, 6.94446673e-05, -6.33755072e-06, -3.29196599e-06,\n -8.97330057e-06, -4.67011385e-06, -6.23293602e-06, -7.92395863e-06,\n -1.05941558e-05, -5.70364749e-06, -1.13763622e-05, -7.31849251e-06,\n -9.81151955e-07, -1.23782059e-05, -1.37416483e-06, -2.62949464e-05,\n -4.26663260e-06, 1.85819462e-08, 5.51735451e-09, 4.07305426e-08,\n 2.89203793e-07, 1.65504125e-07, -7.84810231e-05, -8.22793582e-05,\n -6.43930757e-01, -2.05499708e-06, -1.12744240e-05, -1.66170626e-05,\n -1.63234076e-04, 9.07233464e-06, -9.22932529e-08, -4.16697014e-08,\n -1.04130155e-07, -6.07044920e-08, -6.43930195e-01, 3.11804497e-05,\n -8.46678096e-06, -5.22500531e-06, -1.13704837e-05, 2.08492406e-06,\n -6.71270368e-06, -9.43588911e-06, -1.00087582e-05, -7.69395645e-06,\n -1.23793836e-05, -7.57470578e-06, -2.26216782e-06, -1.59413582e-05,\n -1.59309634e-06, -3.18034605e-05, -6.59348593e-06, 2.50372779e-08,\n -3.59057941e-09, 6.78230568e-08, 3.45730367e-07, -4.68441800e-07,\n 5.40933540e-05, 6.40312902e-05, -7.92818636e-01, -1.36037573e-05,\n -7.32634633e-06, -2.04476546e-05, -1.62299203e-04, 7.73380055e-06,\n -1.35057704e-07, -7.59864268e-08, -1.63946173e-07, -1.06325711e-07,\n -7.92743780e-01, -9.11821932e-06, -5.77241124e-06, -3.24330306e-06,\n -4.20735371e-06, -1.72444986e-06, -1.05404360e-06, -2.78663058e-06,\n -8.77742882e-07, -3.69380184e-06, -3.27025285e-06, -1.12698178e-06,\n -1.02432180e-06, -1.49183926e-05, -1.83077067e-06, -2.65401637e-05,\n -8.55235858e-06, 3.14900429e-08, 6.36755671e-08, 6.92104472e-08,\n 5.30985775e-08, 1.94391077e-07, 8.95535854e-06, 1.01545216e-05,\n -5.21203096e-01, -7.00915614e-06, -8.71598257e-06, -1.49951673e-05,\n -1.18779591e-04, 5.62832973e-06, -1.71236810e-07, -9.28446869e-08,\n -1.41232495e-07, -1.13962163e-07, -5.21154381e-01, -4.04195164e-05,\n -5.00590385e-06, -3.56340089e-06, -5.08370826e-06, 6.40941356e-06,\n -1.71954774e-06, -3.43668032e-06, -7.21080293e-07, -3.95381385e-06,\n -3.64858335e-06, -1.48570864e-06, -1.06030568e-06, -1.01244968e-05,\n -8.60767073e-07, -1.75186802e-05, -5.58296536e-06, 1.83555172e-08,\n 5.40290998e-08, 6.01545409e-08, -3.64869257e-08, -4.88544345e-08,\n 1.48093530e-04, 1.51417454e-04, -1.00000000e+00, -1.62626339e-05,\n -6.49051955e-06, 3.89475596e-06, -4.84992301e-05, 2.65948771e-06,\n -1.21022013e-07, -4.51696563e-08, 2.23587212e-08, -5.92286904e-08,\n -2.64169274e-05, -3.20858796e-08, 8.05018171e-08, 7.85978493e-08,\n -2.44116818e-07, -6.98006538e-07, -3.21384069e-08, 3.80106890e-09,\n 1.08892207e-07, 1.63476870e-06, 2.56002183e-06, 3.58125246e-06,\n -1.55472205e-05, 1.82218892e-06, 1.27993121e-06, -7.18523972e-06,\n 1.79894094e-06, 1.90996204e-06, -7.93429525e-06, -2.31454731e-06,\n 3.05053563e-07, 1.77154739e-06, 2.52266987e-06, 6.56851313e-07,\n 4.04570142e-08, 3.60451122e-08, 1.97568943e-08, 3.87646435e-08,\n 1.35454058e-08, -9.33266706e-06, 8.69859827e-07, 2.29254076e-06,\n 8.82950621e-07, -1.31869721e-05, -1.39030256e-06, -9.37726460e-07,\n -9.13513193e-06, 6.92255556e-07, -1.15586226e-06, -8.54566883e-06,\n -1.45219258e-06, 1.37100158e-06, -2.95408488e-07, 2.69402038e-06,\n 9.03708714e-07, 4.12951682e-08, 2.91048131e-08, 1.67574183e-08,\n 4.41497787e-08, -1.86859415e-07, 7.89895681e-06, 5.37286222e-07,\n 3.01863318e-06, 1.61508189e-06, -2.09991386e-05, -2.42131713e-06,\n -1.09891483e-06, -1.14409240e-05, 1.03540091e-06, -1.45563402e-06,\n -9.36322220e-06, -1.39260521e-06, 5.59955420e-07, -1.30736850e-06,\n 9.66633938e-07, 3.88736925e-07, 1.20563621e-08, 1.43300068e-08,\n 4.66494066e-08, 1.08309009e-07, -2.31772390e-08, 7.68926837e-06,\n -2.04728430e-06, -2.30175264e-06, -4.87548553e-06, 1.23231661e-05,\n -3.38930471e-06, -2.78015163e-06, 2.15533090e-06, -1.98761564e-06,\n -4.04984411e-06, 2.01931046e-06, 1.28580759e-06, 3.65572173e-07,\n -1.31117589e-06, -2.28993867e-06, 2.73285045e-07, 1.54424399e-08,\n 1.76143352e-08, 4.50540127e-08, 6.36481945e-08, -1.96938742e-07,\n 4.01411162e-06, -9.99744457e-07, -3.09695092e-07, 8.11601888e-07,\n -3.89684847e-06, -9.28186968e-08, 3.63509395e-07, 1.02948232e-06,\n 5.17898247e-08, 4.43731682e-07, 1.71657070e-06, 9.19645590e-07,\n -2.41456181e-06, -1.57955099e-06, -4.62114944e-06, -1.65789573e-06,\n 2.71881364e-08, 3.28365997e-08, -9.79079298e-10, -1.17258596e-07,\n 4.98251689e-07, -4.32850396e-06, -8.69800848e-05, -3.19577945e-06,\n -6.29951370e-06, -4.60205266e-06, 3.42469354e-05, 1.75904590e-06,\n 5.83985909e-08, 1.77294929e-05, -2.87600113e-06, -2.19958540e-08,\n 1.42704030e-05, 5.06117719e-06, -2.82776486e-06, 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5.35759949e-01 5.46143701e-01\n 5.17150937e-01 5.27191188e-01 5.04458095e-01 5.50923669e-01\n 5.38025001e-01 5.26091798e-01 5.80560127e-01 3.91091750e+00\n 3.91076082e+00 8.27383361e-05]", + "info": { + "status_val": -1, + "iter": 400, + "scale_updates": 1, + "scale": 0.026780025870978937, + "pobj": -Infinity, + "dobj": -Infinity, + "res_pri": NaN, + "res_dual": NaN, + "gap": NaN, + "res_infeas": NaN, + "res_unbdd_a": 3.1707234919378024e-10, + "res_unbdd_p": 0.0, + "comp_slack": 1.1501402086894028e-12, + "solve_time": 17.934666, + "setup_time": 1.107958, + "lin_sys_time": 15.67065899999998, + "cone_time": 0.6496389999999975, + "accel_time": 0.2721900000000003, + "rejected_accel_steps": 3, + "accepted_accel_steps": 0, + "status": "unbounded" + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 3201, + "solver_name": "cvxpy_sdpa", + "solver_version": "cvxpy-1.6.5-SDPA-0.2.2", + "problem_library": "NETLIB", + "problem_name": "stair", + "problem_type": "LP", + "environment_info": 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"dcost": -0.3109723730715774, + "pres": 5.789211882991651e-14, + "dres": 1.826508911234163e-16, + "pinf": 0.0, + "dinf": 0.0, + "pinfres": NaN, + "dinfres": 0.0003206791287170102, + "gap": 1.1232754965048522e-10, + "relgap": 3.61213919233363e-10, + "r0": 1e-08, + "iter": 24, + "mi_iter": -1, + "infostring": "Optimal solution found", + "timing": { + "runtime": 0.013243999, + "tsetup": 0.000483458, + "tsolve": 0.012760541 + }, + "numerr": 0 + } + } + } + }, + "problem_class": "LP" + } + }, + { + "id": 3266, + "solver_name": "cvxpy_highs", + "solver_version": "cvxpy-1.6.5-HIGHS-1.11.0", + "problem_library": "NETLIB", + "problem_name": "tuff", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + 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"solver_version": "unknown", + "problem_library": "NETLIB", + "problem_name": "tuff", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:21:10", + "solve_time": 0.29901909828186035, + "status": "ERROR", + "primal_objective_value": null, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": null, + "dual_infeasibility": null, + "iterations": null, + "memo": { + "error_message": "Solver 'OSQP' failed. Try another solver, or solve with verbose=True for more information.", + "problem_class": "LP" + } + }, + { + "id": 3265, + "solver_name": "cvxpy_scip", + "solver_version": "cvxpy-1.6.5-SCIP-5.5.0", + "problem_library": "NETLIB", + "problem_name": "tuff", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:21:12", + "solve_time": 0.025947093963623047, + "status": "OPTIMAL", + 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1.0097452666851742e-09, + "dual_infeasibility": 3.7185668831793363e-16, + "solver_version": "SeDuMi-1.3.7", + "solver_options": {}, + "termination_reason": "Optimal solution found", + "error_message": "", + "timestamp": "2026-07-05 21:52:42", + "matlab_version": "24.1.0.2537033 (R2024a)", + "original_status": { + "pinf": 0, + "dinf": 0, + "numerr": 0, + "iter": 36, + "feasratio": 1, + "full_info": { + "iter": 36, + "feasratio": 1, + "pinf": 0, + "dinf": 0, + "numerr": 0, + "r0": 1.335001537478772e-09, + "timing": [ + 0.074039027094841, + 0.3955621272325516, + 0.0031281262636184692 + ], + "wallsec": 0.47272928059101105, + "cpusec": 1.71 + } + } + }, + "matlab_version": "24.1.0.2537033 (R2024a)", + "solver_backend": "sedumi", + "execution_environment": "matlab", + "original_status": { + "pinf": 0, + "dinf": 0, + "numerr": 0, + "iter": 36, + "feasratio": 1, + "full_info": { + "iter": 36, + "feasratio": 1, + "pinf": 0, + "dinf": 0, + "numerr": 0, + "r0": 1.335001537478772e-09, + "timing": [ + 0.074039027094841, + 0.3955621272325516, + 0.0031281262636184692 + ], + "wallsec": 0.47272928059101105, + "cpusec": 1.71 + } + }, + "problem_class": "LP" + } + }, + { + "id": 3285, + "solver_name": "scipy_linprog", + "solver_version": "scipy-1.15.3", + "problem_library": "NETLIB", + "problem_name": "woodw", + "problem_type": "LP", + "environment_info": { + "cpu": { + "cpu_count": 8, + "cpu_count_physical": 8, + "processor": "arm", + "architecture": "64bit" + }, + "memory": { + "total_gb": 24.0 + }, + "os": { + "system": "Darwin", + "machine": "arm64", + "release": "23.6.0" + }, + "python": { + "implementation": "CPython", + "version": "3.12.2", + "version_info": "3.12.2" + }, + "git": { + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370" + }, + "timezone": { + "timezone_name": "UTC", + "utc_offset_hours": 0.0 + }, + "timestamp": 1770770432.0 + }, + "commit_hash": "9e5db94f2e70e20901f7f549e6824ba6360a6370", + "timestamp": "2026-07-05T09:21:31", + "solve_time": 0.11318826675415039, + "status": "OPTIMAL", + "primal_objective_value": 1.3044763330842293, + "dual_objective_value": null, + "duality_gap": null, + "primal_infeasibility": 0.0, + "dual_infeasibility": null, + "iterations": 835, + "memo": { + "solver_solve_time": 0.11318826675415039, + "original_status": { + "scipy_status": 0, + "scipy_success": true, + "scipy_message": "Optimization terminated successfully. (HiGHS Status 7: Optimal)", + "scipy_fun": 1.3044763330842293, + "scipy_nit": 835, + "scipy_crossover_nit": 0, + "scipy_mip_dual_bound": 0.0, + "scipy_mip_gap": 0.0, + "scipy_mip_node_count": 0 + }, + "problem_class": "LP" + } + }, { "id": 2084, "solver_name": "cvxpy_clarabel", diff --git a/docs/pages/data/index.html b/docs/pages/data/index.html index 60fe000..9d35834 100644 --- a/docs/pages/data/index.html +++ b/docs/pages/data/index.html @@ -10,14 +10,14 @@ padding: 0; box-sizing: border-box; } - + body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; line-height: 1.6; color: #333; background-color: #f8f9fa; } - + header { background: linear-gradient(135deg, #2c3e50 0%, #3498db 100%); color: white; @@ -25,17 +25,17 @@ padding: 2rem 1rem; margin-bottom: 2rem; } - + header h1 { font-size: 2.5rem; margin-bottom: 0.5rem; } - + header p { font-size: 1.1rem; opacity: 0.9; } - + nav { background: white; padding: 1rem; @@ -43,7 +43,7 @@ box-shadow: 0 2px 4px rgba(0,0,0,0.1); margin-bottom: 2rem; } - + nav a { color: #2c3e50; text-decoration: none; @@ -52,29 +52,29 @@ border-radius: 4px; transition: background-color 0.2s; } - + nav a:hover { background-color: #ecf0f1; } - + nav a.active { background-color: #3498db; color: white; } - + main { max-width: 1000px; margin: 0 auto; padding: 0 1rem; } - + .section { background: white; margin: 2rem 0; border-radius: 8px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); } - + .section h2 { background: linear-gradient(135deg, #34495e 0%, #2c3e50 100%); color: white; @@ -83,11 +83,11 @@ border-radius: 8px 8px 0 0; font-size: 1.5rem; } - + .section-content { padding: 1.5rem; } - + .data-file { background: #f8f9fa; border: 1px solid #e9ecef; @@ -96,21 +96,21 @@ margin: 1rem 0; transition: box-shadow 0.2s; } - + .data-file:hover { box-shadow: 0 4px 12px rgba(0,0,0,0.1); } - + .data-file h3 { color: #2c3e50; margin-bottom: 0.5rem; } - + .data-file p { color: #7f8c8d; margin-bottom: 1rem; } - + .download-btn { display: inline-block; background: #3498db; @@ -121,17 +121,17 @@ font-weight: 600; transition: background-color 0.2s; } - + .download-btn:hover { background: #2980b9; } - + .file-size { font-size: 0.9rem; color: #95a5a6; margin-left: 1rem; } - + footer { text-align: center; padding: 2rem; @@ -139,13 +139,13 @@ border-top: 1px solid #ecf0f1; margin-top: 3rem; } - + footer a { color: #3498db; text-decoration: none; margin: 0 1rem; } - + footer a:hover { text-decoration: underline; } @@ -155,16 +155,16 @@

🔬 Optimization Solver Benchmark

Data Exports - Download Benchmark Results

-

Generated: 2025-08-05 16:09:43 UTC

+

Generated: 2026-07-05 14:24:15 UTC

- + - +

📁 Available Data Files

@@ -172,38 +172,38 @@

📁 Available Data Files

Download complete benchmark results in various formats for further analysis and research.

- +

📊 Latest Results (JSON)

Most recent benchmark results with solver information, problem details, and performance metrics. Best for analyzing current solver performance.

📥 Download Latest JSON Latest run only
- +

📈 Latest Results (CSV)

Most recent benchmark results in CSV format for spreadsheet analysis. Contains the latest solver-problem combinations.

📥 Download Latest CSV Latest run only
- +

🗄️ All Results (JSON)

Complete historical benchmark results including all runs. Sorted by ID for database restoration. Ideal for comprehensive analysis and backup.

📥 Download All JSON Full database export
- +

📑 All Results (CSV)

Complete historical benchmark results in CSV format. Sorted by ID for database restoration. Perfect for time-series analysis and research.

📥 Download All CSV Full database export
- +
- +

📖 Data Format Documentation

@@ -213,7 +213,7 @@

JSON Structure

  • benchmark_results_all.json: Complete database export sorted by ID for restoration purposes
  • Each contains: metadata, summary statistics, solver comparison, and detailed results
    • - +

    CSV Format

    • benchmark_results_latest.csv: Latest run in tabular format, sorted by problem and solver
      • diff --git a/docs/pages/index.html b/docs/pages/index.html index 435c010..0effc3e 100644 --- a/docs/pages/index.html +++ b/docs/pages/index.html @@ -10,14 +10,14 @@ padding: 0; box-sizing: border-box; } - + body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; line-height: 1.6; color: #333; background-color: #f8f9fa; } - + header { background: linear-gradient(135deg, #2c3e50 0%, #3498db 100%); color: white; @@ -25,17 +25,17 @@ padding: 2rem 1rem; margin-bottom: 2rem; } - + header h1 { font-size: 2.5rem; margin-bottom: 0.5rem; } - + header p { font-size: 1.1rem; opacity: 0.9; } - + nav { background: white; padding: 1rem; @@ -43,7 +43,7 @@ box-shadow: 0 2px 4px rgba(0,0,0,0.1); margin-bottom: 2rem; } - + nav a { color: #2c3e50; text-decoration: none; @@ -52,29 +52,29 @@ border-radius: 4px; transition: background-color 0.2s; } - + nav a:hover { background-color: #ecf0f1; } - + nav a.active { background-color: #3498db; color: white; } - + main { max-width: 1200px; margin: 0 auto; padding: 0 1rem; } - + .stats-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(250px, 1fr)); gap: 1.5rem; margin: 2rem 0; } - + .stat-card { background: white; padding: 1.5rem; @@ -83,31 +83,31 @@ text-align: center; transition: transform 0.2s; } - + .stat-card:hover { transform: translateY(-2px); box-shadow: 0 4px 20px rgba(0,0,0,0.15); } - + .stat-card h3 { color: #2c3e50; margin-bottom: 0.5rem; font-size: 1rem; } - + .stat-value { font-size: 2.5rem; font-weight: bold; color: #3498db; } - + .section { background: white; margin: 2rem 0; border-radius: 8px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); } - + .section h2 { background: linear-gradient(135deg, #34495e 0%, #2c3e50 100%); color: white; @@ -116,60 +116,60 @@ border-radius: 8px 8px 0 0; font-size: 1.5rem; } - + .section-content { padding: 1.5rem; } - + table { width: 100%; border-collapse: collapse; margin: 1rem 0; } - + th, td { padding: 12px 15px; text-align: left; border-bottom: 1px solid #ecf0f1; } - + th { background-color: #f8f9fa; font-weight: 600; color: #2c3e50; } - + tr:hover { background-color: #f8f9fa; } - + .success-rate { color: #27ae60; font-weight: bold; } - + .solve-time { color: #7f8c8d; font-family: 'Courier New', monospace; } - + .metadata { background: #ecf0f1; padding: 1.5rem; border-radius: 6px; margin: 2rem 0; } - + .metadata h3 { color: #2c3e50; margin-bottom: 1rem; } - + .metadata p { margin: 0.5rem 0; color: #34495e; } - + footer { text-align: center; padding: 2rem; @@ -177,17 +177,17 @@ border-top: 1px solid #ecf0f1; margin-top: 3rem; } - + footer a { color: #3498db; text-decoration: none; margin: 0 1rem; } - + footer a:hover { text-decoration: underline; } - + .overview-section { background: white; padding: 2rem; @@ -195,30 +195,30 @@ box-shadow: 0 2px 4px rgba(0,0,0,0.1); margin-bottom: 2rem; } - + .overview-section h2 { color: #2c3e50; margin-bottom: 1rem; font-size: 1.5rem; } - + .overview-content { color: #34495e; line-height: 1.8; white-space: pre-line; } - + .overview-content strong { color: #2c3e50; } - + .status-distribution { display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 1rem; padding: 1rem; } - + .status-card { background: #f8f9fa; padding: 1rem; @@ -226,25 +226,25 @@ text-align: center; border: 1px solid #e9ecef; } - + .status-card span { display: block; margin-bottom: 0.5rem; } - + .status-stats { display: flex; justify-content: center; align-items: center; gap: 0.5rem; } - + .status-count { font-size: 1.5rem; font-weight: bold; color: #2c3e50; } - + .status-percentage { font-size: 0.9rem; color: #6c757d; @@ -255,18 +255,18 @@

      🔬 Optimization Solver Benchmark

      Overview Dashboard - Latest Results

      -

      Generated: 2025-08-05 16:09:43 UTC

      +

      Generated: 2026-07-05 14:24:15 UTC

      - + - +
      - +
      @@ -284,18 +284,18 @@

      Solvers Tested

      Problems Tested

      - 120 + 214

      Libraries

      - 2 + 3

      Problem Types

      - 2 + 4
    - +

    🔧 Solvers Tested

    @@ -332,6 +332,16 @@

    📚 Problems Tested by Library and Type

    SOCP 17 + + NETLIB + LP + 91 + + + NETLIB + UNKNOWN + 3 + SDPLIB SDP @@ -354,7 +364,7 @@

    🚧 To Be Determined

    to ensure fair and meaningful comparisons across different solver types.

    - Please refer to the Results Matrix + Please refer to the Results Matrix for detailed performance data in the meantime.

    @@ -363,7 +373,7 @@

    🚧 To Be Determined

    🔧 Environment Information

    -

    Git Commit Hashes: 0d9be48d, 2ef15f0b, 443b599d, 86bfae9b, 96ca0437, d31cb753, f95b7a82

    ⚠️ Multiple environments detected: Results from 7 different Git commits

    Platform: Darwin (8CPU, 24GB)

    Python Version: CPython 3.12.2

    Operating System: Darwin 23.5.0

    CPU: arm (8 cores)

    Memory: 24.0 GB

    MATLAB: Available (version detection via solver results)

    +

    Git Commit Hashes: 0d9be48d, 2ef15f0b, 443b599d, 48ce3d61, 86bfae9b, 96ca0437, 9e5db94f, c86c9ed6, d073ec31, d31cb753, f95b7a82

    ⚠️ Multiple environments detected: Results from 11 different Git commits

    Platform: Darwin (8CPU, 24GB)

    Python Version: CPython 3.12.2

    Operating System: Darwin 23.5.0

    CPU: arm (8 cores)

    Memory: 24.0 GB

    MATLAB: Available (version detection via solver results)

    diff --git a/docs/pages/raw_data.html b/docs/pages/raw_data.html index 32644a6..cf4810a 100644 --- a/docs/pages/raw_data.html +++ b/docs/pages/raw_data.html @@ -11,14 +11,14 @@ padding: 0; box-sizing: border-box; } - + body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; line-height: 1.6; color: #333; background-color: #f8f9fa; } - + header { background: linear-gradient(135deg, #2c3e50 0%, #3498db 100%); color: white; @@ -26,17 +26,17 @@ padding: 1rem 1rem; margin-bottom: 1rem; } - + header h1 { font-size: 2.5rem; margin-bottom: 0.5rem; } - + header p { font-size: 1.1rem; opacity: 0.9; } - + nav { background: white; padding: 1rem; @@ -44,7 +44,7 @@ box-shadow: 0 2px 4px rgba(0,0,0,0.1); margin-bottom: 2rem; } - + nav a { color: #2c3e50; text-decoration: none; @@ -53,29 +53,29 @@ border-radius: 4px; transition: background-color 0.2s; } - + nav a:hover { background-color: #ecf0f1; } - + nav a.active { background-color: #3498db; color: white; } - + main { max-width: 1400px; margin: 0 auto; padding: 0 1rem; } - + .section { background: white; margin: 2rem 0; border-radius: 8px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); } - + .section h2 { background: linear-gradient(135deg, #34495e 0%, #2c3e50 100%); color: white; @@ -84,11 +84,11 @@ border-radius: 8px 8px 0 0; font-size: 1.5rem; } - + .section-content { padding: 1.5rem; } - + .table-container { overflow-x: auto; margin: 1rem 0; @@ -97,7 +97,7 @@ max-height: 90vh; overflow-y: auto; } - + .data-table { width: 100%; min-width: 1400px; @@ -105,7 +105,7 @@ margin: 0; font-size: 0.8em; } - + .data-table th, .data-table td { padding: 3px 4px; text-align: left; @@ -114,7 +114,7 @@ vertical-align: middle; white-space: nowrap; } - + .data-table th { background-color: #f8f9fa; font-weight: 600; @@ -124,11 +124,11 @@ z-index: 10; border-bottom: 2px solid #dee2e6; } - + .data-table tr:hover { background-color: #f8f9fa; } - + .status-optimal { background-color: #d4edda; color: #155724; @@ -136,7 +136,7 @@ padding: 4px 8px; border-radius: 4px; } - + .status-optimal-inaccurate { background-color: #fff3cd; color: #856404; @@ -144,7 +144,7 @@ padding: 4px 8px; border-radius: 4px; } - + .status-error { background-color: #f8d7da; color: #721c24; @@ -152,7 +152,7 @@ padding: 4px 8px; border-radius: 4px; } - + .status-infeasible { background-color: #fff3cd; color: #856404; @@ -160,7 +160,7 @@ padding: 4px 8px; border-radius: 4px; } - + .status-unsupported { background-color: #e7f3ff; color: #0c5460; @@ -168,34 +168,90 @@ padding: 4px 8px; border-radius: 4px; } - + + .status-stalled { + background-color: #ffe8cc; + color: #664d00; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + + .status-max-iter { + background-color: #f0e6ff; + color: #5a3d8a; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + + .status-num-error { + background-color: #ffcccc; + color: #990000; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + + .status-timeout { + background-color: #e8e8e8; + color: #666666; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + + .status-sigkill { + background-color: #d8d8d8; + color: #555555; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + + .status-subprocess-error { + background-color: #f0f0f0; + color: #777777; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + + .status-unknown { + background-color: #f8f8f8; + color: #999999; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + .solver-name { font-weight: 600; color: #2c3e50; } - + .problem-type { font-weight: 500; color: #3498db; } - + .library-name { font-style: italic; color: #7f8c8d; } - + .number { text-align: right; font-family: 'Courier New', monospace; font-size: 0.9em; } - + .timestamp { font-size: 0.85em; color: #7f8c8d; font-family: 'Courier New', monospace; } - + .commit-hash { font-size: 0.7em; color: #6c757d; @@ -205,7 +261,7 @@ overflow: hidden; text-overflow: ellipsis; } - + .platform { font-size: 0.7em; color: #495057; @@ -215,7 +271,7 @@ overflow: hidden; text-overflow: ellipsis; } - + .environment-info { font-size: 0.7em; color: #6c757d; @@ -225,7 +281,7 @@ overflow: hidden; text-overflow: ellipsis; } - + .solver-version { font-size: 0.7em; color: #495057; @@ -235,7 +291,7 @@ overflow: hidden; text-overflow: ellipsis; } - + .problem-name-cell { font-size: 0.8em; max-width: 120px; @@ -243,7 +299,7 @@ overflow: hidden; text-overflow: ellipsis; } - + .memo-cell { font-size: 0.7em; color: #6c757d; @@ -252,7 +308,7 @@ overflow: hidden; text-overflow: ellipsis; } - + footer { text-align: center; padding: 2rem; @@ -260,13 +316,13 @@ border-top: 1px solid #ecf0f1; margin-top: 3rem; } - + footer a { color: #3498db; text-decoration: none; margin: 0 1rem; } - + footer a:hover { text-decoration: underline; } @@ -277,16 +333,16 @@

    🔬 Optimization Solver Benchmark

    Raw Data - Detailed Results Table

    -

    Generated: 2025-08-05 16:09:43 UTC | Total Results: 1320

    +

    Generated: 2026-07-05 14:24:15 UTC | Total Results: 2354

    - + - +

    📋 Detailed Results

    @@ -317,7 +373,7 @@

    📋 Detailed Results

    bm1 SDP DIMACS - SIGKILL + SIGKILL 30.6044 — — @@ -332,7 +388,7 @@

    📋 Detailed Results

    bm1 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -407,7 +463,7 @@

    📋 Detailed Results

    bm1 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -437,7 +493,7 @@

    📋 Detailed Results

    bm1 SDP DIMACS - NUM_ERROR + NUM_ERROR 7.3865 2.343985e+01 20 @@ -452,7 +508,7 @@

    📋 Detailed Results

    bm1 SDP DIMACS - NUM_ERROR + NUM_ERROR 54.5415 2.344598e+01 29 @@ -812,7 +868,7 @@

    📋 Detailed Results

    fap09 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -827,7 +883,7 @@

    📋 Detailed Results

    fap09 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -932,7 +988,7 @@

    📋 Detailed Results

    fap09 SDP DIMACS - TIMEOUT + TIMEOUT 300.0000 — — @@ -947,7 +1003,7 @@

    📋 Detailed Results

    fap09 SDP DIMACS - TIMEOUT + TIMEOUT 300.0000 — — @@ -1097,7 +1153,7 @@

    📋 Detailed Results

    filter48 SDP DIMACS - MAX_ITER + MAX_ITER 3.3855 1.416129e+00 42 @@ -1307,7 +1363,7 @@

    📋 Detailed Results

    hamming_8_3_4 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -1322,7 +1378,7 @@

    📋 Detailed Results

    hamming_8_3_4 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -1412,7 +1468,7 @@

    📋 Detailed Results

    hamming_8_3_4 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -1442,7 +1498,7 @@

    📋 Detailed Results

    hamming_8_3_4 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -1472,7 +1528,7 @@

    📋 Detailed Results

    hamming_9_8 SDP DIMACS - SIGKILL + SIGKILL 25.8614 — — @@ -1487,7 +1543,7 @@

    📋 Detailed Results

    hamming_9_8 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -1968,13 +2024,13 @@

    📋 Detailed Results

    SDP DIMACS OPTIMAL (INACCURATE) - 1.4263 + 1.3872 5.966248e+00 38 -1.082246e-06 - f95b7a82 + c86c9ed6 Darwin (8CPU, 24GB) - 2025-08-03 14:59:51 + 2025-08-16 06:14:56 cvxpy_cvxopt @@ -2087,14 +2143,14 @@

    📋 Detailed Results

    minphase SDP DIMACS - UNKNOWN - 0.9657 + STALLED + 0.9452 5.992654e+00 27 1.163700e-02 - 96ca0437 + 48ce3d61 Darwin (8CPU, 24GB) - 2025-07-19 13:59:49 + 2025-08-16 06:00:12 matlab_sedumi @@ -2102,14 +2158,14 @@

    📋 Detailed Results

    minphase SDP DIMACS - NUM_ERROR - 0.5305 + OPTIMAL (INACCURATE) + 0.5855 5.981957e+00 34 2.085606e-04 - 96ca0437 + 48ce3d61 Darwin (8CPU, 24GB) - 2025-07-19 12:38:19 + 2025-08-16 05:59:16 scipy_linprog @@ -2132,7 +2188,7 @@

    📋 Detailed Results

    torusg3-15 SDP DIMACS - SIGKILL + SIGKILL 18.8889 — — @@ -2147,7 +2203,7 @@

    📋 Detailed Results

    torusg3-15 SDP DIMACS - SIGKILL + SIGKILL 18.9863 — — @@ -2222,7 +2278,7 @@

    📋 Detailed Results

    torusg3-15 SDP DIMACS - SIGKILL + SIGKILL 19.0286 — — @@ -2237,7 +2293,7 @@

    📋 Detailed Results

    torusg3-15 SDP DIMACS - SIGKILL + SIGKILL 18.8035 — — @@ -2267,7 +2323,7 @@

    📋 Detailed Results

    torusg3-15 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -2297,7 +2353,7 @@

    📋 Detailed Results

    torusg3-8 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -2462,7 +2518,7 @@

    📋 Detailed Results

    toruspm3-15-50 SDP DIMACS - SIGKILL + SIGKILL 19.0040 — — @@ -2477,7 +2533,7 @@

    📋 Detailed Results

    toruspm3-15-50 SDP DIMACS - SIGKILL + SIGKILL 19.0381 — — @@ -2552,7 +2608,7 @@

    📋 Detailed Results

    toruspm3-15-50 SDP DIMACS - SIGKILL + SIGKILL 19.1055 — — @@ -2567,7 +2623,7 @@

    📋 Detailed Results

    toruspm3-15-50 SDP DIMACS - SIGKILL + SIGKILL 18.8757 — — @@ -2597,7 +2653,7 @@

    📋 Detailed Results

    toruspm3-15-50 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -2627,7 +2683,7 @@

    📋 Detailed Results

    toruspm3-8-50 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -2717,7 +2773,7 @@

    📋 Detailed Results

    toruspm3-8-50 SDP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -3258,13 +3314,13 @@

    📋 Detailed Results

    SOCP DIMACS OPTIMAL - 0.5916 + 0.5131 -5.070309e-02 20 4.364627e-12 - 96ca0437 + 48ce3d61 Darwin (8CPU, 24GB) - 2025-07-19 11:10:47 + 2025-08-16 05:58:35 scipy_linprog @@ -3277,9 +3333,9 @@

    📋 Detailed Results

    — — — - f95b7a82 + c86c9ed6 Darwin (8CPU, 24GB) - 2025-08-04 15:29:58 + 2025-08-16 06:21:56 cvxpy_clarabel @@ -3527,7 +3583,7 @@

    📋 Detailed Results

    nb_L2 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -3557,7 +3613,7 @@

    📋 Detailed Results

    nb_L2 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -3782,7 +3838,7 @@

    📋 Detailed Results

    nql180 SOCP DIMACS - SIGKILL + SIGKILL 39.6709 — — @@ -3797,7 +3853,7 @@

    📋 Detailed Results

    nql180 SOCP DIMACS - SIGKILL + SIGKILL 41.0532 — — @@ -3812,7 +3868,7 @@

    📋 Detailed Results

    nql180 SOCP DIMACS - SIGKILL + SIGKILL 41.5645 — — @@ -3857,7 +3913,7 @@

    📋 Detailed Results

    nql180 SOCP DIMACS - SIGKILL + SIGKILL 40.5333 — — @@ -3872,7 +3928,7 @@

    📋 Detailed Results

    nql180 SOCP DIMACS - SIGKILL + SIGKILL 40.4082 — — @@ -3887,7 +3943,7 @@

    📋 Detailed Results

    nql180 SOCP DIMACS - SIGKILL + SIGKILL 55.1006 — — @@ -4112,7 +4168,7 @@

    📋 Detailed Results

    nql60 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4127,7 +4183,7 @@

    📋 Detailed Results

    nql60 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4142,7 +4198,7 @@

    📋 Detailed Results

    nql60 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4187,7 +4243,7 @@

    📋 Detailed Results

    nql60 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4202,7 +4258,7 @@

    📋 Detailed Results

    nql60 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4217,7 +4273,7 @@

    📋 Detailed Results

    nql60 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4352,7 +4408,7 @@

    📋 Detailed Results

    qssp30 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4397,7 +4453,7 @@

    📋 Detailed Results

    qssp30 SOCP DIMACS - UNKNOWN + UNKNOWN 0.7028 -6.496677e+00 21 @@ -4442,7 +4498,7 @@

    📋 Detailed Results

    qssp60 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4457,7 +4513,7 @@

    📋 Detailed Results

    qssp60 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4472,7 +4528,7 @@

    📋 Detailed Results

    qssp60 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4517,7 +4573,7 @@

    📋 Detailed Results

    qssp60 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4532,7 +4588,7 @@

    📋 Detailed Results

    qssp60 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4547,7 +4603,7 @@

    📋 Detailed Results

    qssp60 SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4562,7 +4618,7 @@

    📋 Detailed Results

    qssp60 SOCP DIMACS - UNKNOWN + UNKNOWN 2.3680 -6.562707e+00 24 @@ -4622,7 +4678,7 @@

    📋 Detailed Results

    sched_100_100_orig SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4682,7 +4738,7 @@

    📋 Detailed Results

    sched_100_100_orig SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4712,7 +4768,7 @@

    📋 Detailed Results

    sched_100_100_orig SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4727,7 +4783,7 @@

    📋 Detailed Results

    sched_100_100_orig SOCP DIMACS - UNKNOWN + UNKNOWN 2.5290 7.176648e+05 30 @@ -4742,7 +4798,7 @@

    📋 Detailed Results

    sched_100_100_orig SOCP DIMACS - NUM_ERROR + NUM_ERROR 3.3865 7.173678e+05 101 @@ -4787,7 +4843,7 @@

    📋 Detailed Results

    sched_100_100_scaled SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4847,7 +4903,7 @@

    📋 Detailed Results

    sched_100_100_scaled SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4877,7 +4933,7 @@

    📋 Detailed Results

    sched_100_100_scaled SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -4892,7 +4948,7 @@

    📋 Detailed Results

    sched_100_100_scaled SOCP DIMACS - UNKNOWN + UNKNOWN 1.9082 2.733080e+01 25 @@ -5012,7 +5068,7 @@

    📋 Detailed Results

    sched_100_50_orig SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5027,7 +5083,7 @@

    📋 Detailed Results

    sched_100_50_orig SOCP DIMACS - UNBOUNDED (INACCURATE) + UNBOUNDED (INACCURATE) 37.7517 — 100000 @@ -5042,7 +5098,7 @@

    📋 Detailed Results

    sched_100_50_orig SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5057,7 +5113,7 @@

    📋 Detailed Results

    sched_100_50_orig SOCP DIMACS - MAX_ITER + MAX_ITER 1.3199 1.818935e+05 34 @@ -5117,7 +5173,7 @@

    📋 Detailed Results

    sched_100_50_scaled SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5177,7 +5233,7 @@

    📋 Detailed Results

    sched_100_50_scaled SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5207,7 +5263,7 @@

    📋 Detailed Results

    sched_100_50_scaled SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5222,7 +5278,7 @@

    📋 Detailed Results

    sched_100_50_scaled SOCP DIMACS - UNKNOWN + UNKNOWN 1.1798 6.716504e+01 29 @@ -5282,7 +5338,7 @@

    📋 Detailed Results

    sched_200_100_orig SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5342,7 +5398,7 @@

    📋 Detailed Results

    sched_200_100_orig SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5357,7 +5413,7 @@

    📋 Detailed Results

    sched_200_100_orig SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5372,7 +5428,7 @@

    📋 Detailed Results

    sched_200_100_orig SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5387,7 +5443,7 @@

    📋 Detailed Results

    sched_200_100_orig SOCP DIMACS - MAX_ITER + MAX_ITER 6.3222 1.413986e+05 39 @@ -5447,7 +5503,7 @@

    📋 Detailed Results

    sched_200_100_scaled SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5507,7 +5563,7 @@

    📋 Detailed Results

    sched_200_100_scaled SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5522,7 +5578,7 @@

    📋 Detailed Results

    sched_200_100_scaled SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5537,7 +5593,7 @@

    📋 Detailed Results

    sched_200_100_scaled SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5552,7 +5608,7 @@

    📋 Detailed Results

    sched_200_100_scaled SOCP DIMACS - UNKNOWN + UNKNOWN 5.2031 5.181198e+01 34 @@ -5672,7 +5728,7 @@

    📋 Detailed Results

    sched_50_50_orig SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5717,7 +5773,7 @@

    📋 Detailed Results

    sched_50_50_orig SOCP DIMACS - MAX_ITER + MAX_ITER 0.7064 2.667310e+04 27 @@ -5837,7 +5893,7 @@

    📋 Detailed Results

    sched_50_50_scaled SOCP DIMACS - TIMEOUT + TIMEOUT 120.0000 — — @@ -5921,6 +5977,15516 @@

    📋 Detailed Results

    Darwin (8CPU, 24GB) 2025-07-16 06:03:59 + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + adlittle + LP + NETLIB + OPTIMAL + 0.0024 + 2.254950e+05 + 11 + -7.154652e-04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:22 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + adlittle + LP + NETLIB + OPTIMAL + 0.0513 + 2.254950e+05 + — + -4.706197e-04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:24 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + adlittle + LP + NETLIB + OPTIMAL + 0.0021 + 2.254950e+05 + 12 + -1.126830e-05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:23 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + adlittle + LP + NETLIB + OPTIMAL + 0.0034 + 2.254950e+05 + 87 + -5.820766e-11 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:26 + + + cvxpy_osqp + unknown + adlittle + LP + NETLIB + ERROR + 0.0256 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:23 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + adlittle + LP + NETLIB + OPTIMAL + 0.0060 + 2.101798e+05 + — + -1.531516e+04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:25 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + adlittle + LP + NETLIB + OPTIMAL + 0.0151 + 2.254932e+05 + 4300 + -1.620252e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:22 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + adlittle + LP + NETLIB + UNBOUNDED + 0.0080 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:25 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + adlittle + LP + NETLIB + OPTIMAL + 0.2385 + 2.254950e+05 + 16 + 1.425861e-04 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:36:16 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + adlittle + LP + NETLIB + OPTIMAL + 0.2007 + 2.254950e+05 + 14 + 2.284651e-08 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:36:12 + + + scipy_linprog + scipy-1.15.3 + adlittle + LP + NETLIB + OPTIMAL + 0.0021 + 2.254950e+05 + 92 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:21 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + afiro + LP + NETLIB + OPTIMAL + 0.0020 + -4.647531e+02 + 8 + 3.865095e-07 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:41:25 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + afiro + LP + NETLIB + OPTIMAL + 0.0265 + -4.647531e+02 + — + 2.609042e-07 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:41:28 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + afiro + LP + NETLIB + OPTIMAL + 0.0017 + -4.647531e+02 + 9 + 7.361507e-09 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:41:26 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + afiro + LP + NETLIB + OPTIMAL + 0.0024 + -4.647531e+02 + 4 + -1.136868e-13 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:41:30 + + + cvxpy_osqp + cvxpy-1.6.5-OSQP-1.0.4 + afiro + LP + NETLIB + OPTIMAL + 0.0025 + -4.647531e+02 + 375 + -1.136868e-13 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:41:26 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + afiro + LP + NETLIB + OPTIMAL + 0.0041 + -4.647531e+02 + — + -1.136868e-13 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:41:30 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + afiro + LP + NETLIB + OPTIMAL + 0.0026 + -4.647531e+02 + 325 + -1.549592e-03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:41:25 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + afiro + LP + NETLIB + OPTIMAL + 0.0052 + -4.647531e+02 + — + 2.161612e-05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:41:29 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + afiro + LP + NETLIB + OPTIMAL + 0.2753 + -4.647531e+02 + 11 + 1.048609e-05 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:34:55 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + afiro + LP + NETLIB + OPTIMAL + 0.2605 + -4.647531e+02 + 7 + 8.043344e-11 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:34:50 + + + scipy_linprog + scipy-1.15.3 + afiro + LP + NETLIB + OPTIMAL + 0.0044 + -4.647531e+02 + 6 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:41:24 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + agg + LP + NETLIB + OPTIMAL + 0.0208 + -3.599177e+07 + 38 + 8.466423e-03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:27 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + agg + LP + NETLIB + INFEASIBLE + 0.1163 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:30 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + agg + LP + NETLIB + OPTIMAL + 0.0125 + -3.599177e+07 + 41 + 2.569832e-03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:28 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + agg + LP + NETLIB + OPTIMAL + 0.0055 + -3.599177e+07 + 81 + 2.235174e-08 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:31 + + + cvxpy_osqp + unknown + agg + LP + NETLIB + ERROR + 0.1609 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:29 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + agg + LP + NETLIB + OPTIMAL + 0.0173 + -3.599177e+07 + — + -2.235174e-08 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:31 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + agg + LP + NETLIB + UNBOUNDED + 0.0043 + — + 0 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:28 + + + cvxpy_sdpa + unknown + agg + LP + NETLIB + ERROR + 0.0408 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:30 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + agg + LP + NETLIB + OPTIMAL + 0.4776 + -3.599177e+07 + 26 + 1.238887e-02 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:36:27 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + agg + LP + NETLIB + OPTIMAL + 0.3144 + -3.599177e+07 + 46 + 2.980232e-08 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:36:21 + + + scipy_linprog + scipy-1.15.3 + agg + LP + NETLIB + OPTIMAL + 0.0083 + -3.599177e+07 + 374 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:26 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + agg2 + LP + NETLIB + OPTIMAL + 0.0246 + -2.023925e+07 + 19 + 4.822139e-03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:33 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + agg2 + LP + NETLIB + INFEASIBLE + 0.3885 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:36 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + agg2 + LP + NETLIB + OPTIMAL + 0.0224 + -2.023925e+07 + 21 + 4.327074e-04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:34 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + agg2 + LP + NETLIB + OPTIMAL + 0.0072 + -2.023925e+07 + 203 + 1.490116e-08 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:38 + + + cvxpy_osqp + unknown + agg2 + LP + NETLIB + ERROR + 0.3976 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:35 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + agg2 + LP + NETLIB + OPTIMAL + 0.0269 + -2.023925e+07 + — + 7.450581e-09 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:37 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + agg2 + LP + NETLIB + OPTIMAL + 0.3361 + -2.013010e+07 + 5575 + -1.295816e+02 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:33 + + + cvxpy_sdpa + unknown + agg2 + LP + NETLIB + ERROR + 0.0483 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:37 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + agg2 + LP + NETLIB + OPTIMAL + 0.3259 + -2.023925e+07 + 23 + 2.917209e-02 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:36:36 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + agg2 + LP + NETLIB + OPTIMAL + 0.2943 + -2.023925e+07 + 31 + 3.725290e-09 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:36:32 + + + scipy_linprog + scipy-1.15.3 + agg2 + LP + NETLIB + OPTIMAL + 0.0113 + -2.023925e+07 + 545 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:32 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + agg3 + LP + NETLIB + OPTIMAL + 0.0243 + 1.031212e+07 + 18 + 1.022704e-02 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:39 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + agg3 + LP + NETLIB + UNBOUNDED + 1.6560 + — + — + — + 9e5db94f + Darwin (8CPU, 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24GB) + 2026-07-05 08:49:49 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + d6cube + LP + NETLIB + OPTIMAL (INACCURATE) + 0.1756 + 3.144917e+02 + 20 + 1.364638e-05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:49:45 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + d6cube + LP + NETLIB + OPTIMAL + 1.7581 + 3.144917e+02 + 10829 + -2.160050e-12 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:49:58 + + + cvxpy_osqp + unknown + d6cube + LP + NETLIB + ERROR + 2.4049 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:49:48 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + d6cube + LP + NETLIB + OPTIMAL + 3.3321 + 3.144917e+02 + — + -2.842171e-13 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:49:55 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + d6cube + LP + NETLIB + OPTIMAL + 10.9166 + 3.144905e+02 + 30075 + 2.575133e-03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:49:43 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + d6cube + LP + NETLIB + OPTIMAL (INACCURATE) + 0.4754 + 3.144943e+02 + 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0.1695 + -9.872940e+02 + 15 + -2.200031e-07 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:50:12 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + degen3 + LP + NETLIB + OPTIMAL + 0.2220 + -9.872940e+02 + 3053 + -1.136868e-13 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:50:20 + + + cvxpy_osqp + cvxpy-1.6.5-OSQP-1.0.4 + degen3 + LP + NETLIB + OPTIMAL + 0.9829 + -9.872963e+02 + 3125 + -3.696571e-03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:50:14 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + degen3 + LP + NETLIB + OPTIMAL + 0.6000 + -9.834860e+02 + — + 3.808000e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:50:19 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + degen3 + LP + NETLIB + OPTIMAL + 2.1166 + -9.872917e+02 + 5950 + 9.934687e-04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:50:11 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + degen3 + LP + NETLIB + OPTIMAL (INACCURATE) + 0.4602 + -9.872891e+02 + — + 8.233827e-03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:50:17 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Darwin (8CPU, 24GB) + 2026-07-05 08:50:45 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + etamacro + LP + NETLIB + OPTIMAL + 0.0115 + 4.446628e+02 + 381 + -5.684342e-14 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:50:51 + + + cvxpy_osqp + unknown + etamacro + LP + NETLIB + ERROR + 0.4637 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:50:46 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + etamacro + LP + NETLIB + OPTIMAL + 0.0288 + 5.016793e+02 + — + 5.701651e+01 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:50:50 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + etamacro + LP + NETLIB + OPTIMAL (INACCURATE) + 6.7734 + 4.451551e+02 + 100000 + -1.279251e-01 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:50:44 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + etamacro + LP + NETLIB + OPTIMAL + 0.1028 + 4.446628e+02 + — + 2.032979e-05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:50:50 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + etamacro + LP + 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12:35:26 + + + scipy_linprog + scipy-1.15.3 + kb2 + LP + NETLIB + OPTIMAL + 0.0017 + -1.749900e+03 + 66 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:41:47 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + lotfi + LP + NETLIB + OPTIMAL + 0.0063 + -2.526471e+01 + 18 + 3.343813e-08 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:03:59 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + lotfi + LP + NETLIB + OPTIMAL + 0.1792 + -2.526471e+01 + — + 2.018194e-08 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:03 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + lotfi + LP + NETLIB + OPTIMAL + 0.0051 + -2.526471e+01 + 22 + 2.563283e-11 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:02 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + lotfi + LP + NETLIB + OPTIMAL + 0.0039 + -2.526471e+01 + 109 + 1.421085e-14 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:05 + + + cvxpy_osqp + unknown + lotfi + LP + NETLIB + ERROR + 0.0650 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:02 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + lotfi + LP + NETLIB + OPTIMAL + 0.0101 + 0.000000e+00 + — + 2.526471e+01 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:05 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + lotfi + LP + NETLIB + OPTIMAL (INACCURATE) + 1.1964 + -2.524062e+01 + 100000 + -2.795475e-02 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:01 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + lotfi + LP + NETLIB + INFEASIBLE + 0.0322 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:04 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + lotfi + LP + NETLIB + OPTIMAL + 0.4268 + -2.526471e+01 + 42 + 1.490801e-07 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:44:19 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + lotfi + LP + NETLIB + OPTIMAL + 0.2929 + -2.526471e+01 + 20 + 1.289990e-11 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:44:14 + + + scipy_linprog + scipy-1.15.3 + lotfi + LP + NETLIB + OPTIMAL + 0.0039 + -2.526471e+01 + 147 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:03:59 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + maros + LP + NETLIB + OPTIMAL + 0.0761 + -7.139431e+04 + 23 + -1.778489e-04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:07 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + maros + LP + NETLIB + OPTIMAL + 4.0493 + -7.139431e+04 + — + -1.142325e-08 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:28 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + maros + LP + NETLIB + OPTIMAL + 0.0772 + -7.139431e+04 + 26 + -2.104149e-06 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:22 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + maros + LP + NETLIB + OPTIMAL + 0.0372 + -7.139431e+04 + 856 + 0.000000e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:31 + + + cvxpy_osqp + unknown + maros + LP + NETLIB + ERROR + 1.1150 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:23 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + maros + LP + NETLIB + OPTIMAL + 0.0824 + -6.088216e+04 + — + 1.051215e+04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:30 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + maros + LP + NETLIB + OPTIMAL (INACCURATE) + 12.8157 + -6.891738e+04 + 100000 + -3.391944e+02 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:20 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + maros + LP + NETLIB + INFEASIBLE + 0.2092 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:29 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + maros + LP + NETLIB + STALLED + 0.8029 + -7.139431e+04 + 55 + 1.024280e-06 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:44:28 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + maros + LP + NETLIB + OPTIMAL + 0.4170 + -7.139431e+04 + 36 + 1.455192e-11 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:44:24 + + + scipy_linprog + scipy-1.15.3 + maros + LP + NETLIB + OPTIMAL + 0.0588 + -7.139431e+04 + 1525 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:06 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + maros_r7 + LP + NETLIB + OPTIMAL + 1.3567 + 1.497185e+06 + 15 + 4.681738e-04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:39 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + maros_r7 + LP + NETLIB + OPTIMAL + 35.2646 + 1.497185e+06 + — + 5.558902e-02 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:37 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + maros_r7 + LP + NETLIB + OPTIMAL + 3.0409 + 1.497185e+06 + 15 + 6.122645e-04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:05:31 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + maros_r7 + LP + NETLIB + OPTIMAL + 0.6268 + 1.497185e+06 + 1860 + 0.000000e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:51 + + + cvxpy_osqp + unknown + maros_r7 + LP + NETLIB + ERROR + 24.4206 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:05:58 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + maros_r7 + LP + NETLIB + OPTIMAL + 1.4818 + 0.000000e+00 + — + -1.497185e+06 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:48 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + maros_r7 + LP + NETLIB + OPTIMAL + 42.6250 + 1.497185e+06 + 16425 + -1.040141e-02 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:05:25 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + maros_r7 + LP + NETLIB + OPTIMAL + 2.9969 + 1.497185e+06 + — + 2.121161e-02 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:43 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + maros_r7 + LP + NETLIB + OPTIMAL + 2.3096 + 1.497185e+06 + 21 + 1.242038e-03 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:44:47 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + maros_r7 + LP + NETLIB + OPTIMAL + 1.5632 + 1.497185e+06 + 15 + 6.984919e-09 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:44:37 + + + scipy_linprog + scipy-1.15.3 + maros_r7 + LP + NETLIB + OPTIMAL + 0.8016 + 1.497185e+06 + 2498 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:04:35 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + modszk1 + LP + NETLIB + INFEASIBLE + 0.0116 + — + 8 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:53 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + modszk1 + LP + NETLIB + INFEASIBLE + 0.0116 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:56 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + modszk1 + LP + NETLIB + INFEASIBLE + 0.0162 + — + 11 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:55 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + modszk1 + LP + NETLIB + INFEASIBLE + 0.0090 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:58 + + + cvxpy_osqp + cvxpy-1.6.5-OSQP-1.0.4 + modszk1 + LP + NETLIB + INFEASIBLE + 0.0099 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:55 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + modszk1 + LP + NETLIB + INFEASIBLE + 0.0285 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:58 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + modszk1 + LP + NETLIB + INFEASIBLE + 0.0520 + — + 775 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:54 + + + cvxpy_sdpa + unknown + modszk1 + LP + NETLIB + ERROR + 0.0995 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:57 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + modszk1 + LP + NETLIB + MAX_ITER + 5.6894 + 2.301780e-17 + 100 + 2.301780e-17 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:45:01 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + modszk1 + LP + NETLIB + OPTIMAL + 0.3483 + 3.401155e+02 + 24 + 2.164413e-02 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:44:51 + + + scipy_linprog + scipy-1.15.3 + modszk1 + LP + NETLIB + UNBOUNDED + 0.0240 + — + 683 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:52 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + nesm + LP + NETLIB + OPTIMAL + 0.1476 + 1.407604e+07 + 50 + 1.244175e-01 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:01 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + nesm + LP + NETLIB + UNBOUNDED + 1.3235 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:07 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + nesm + LP + NETLIB + OPTIMAL + 0.1648 + 1.407604e+07 + 57 + 3.701225e-04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:03 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + nesm + LP + NETLIB + OPTIMAL + 0.1555 + 1.407604e+07 + 1851 + -9.313226e-09 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:11 + + + cvxpy_osqp + cvxpy-1.6.5-OSQP-1.0.4 + nesm + LP + NETLIB + OPTIMAL + 0.4835 + 1.407618e+07 + 3850 + -3.222421e+01 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:05 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + nesm + LP + NETLIB + OPTIMAL + 0.2829 + 1.407604e+07 + — + -3.725290e-09 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:10 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + nesm + LP + NETLIB + OPTIMAL + 0.7936 + 1.407714e+07 + 3925 + -8.867403e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:02 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + nesm + LP + NETLIB + INFEASIBLE + 0.4420 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:09 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + nesm + LP + NETLIB + STALLED + 0.5477 + 1.407605e+07 + 35 + 3.001606e+01 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:45:11 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + nesm + LP + NETLIB + OPTIMAL + 0.9561 + 1.407604e+07 + 59 + 2.049524e-04 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:45:06 + + + scipy_linprog + scipy-1.15.3 + nesm + LP + NETLIB + OPTIMAL + 0.2183 + 1.407604e+07 + 2954 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:06:59 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + netlib_25fv47 + LP + NETLIB + OPTIMAL + 0.0765 + 5.501846e+03 + 23 + 2.624515e-06 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:41:53 + + + cvxpy_cvxopt + unknown + netlib_25fv47 + LP + NETLIB + ERROR + 0.0788 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:42:04 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + netlib_25fv47 + LP + NETLIB + OPTIMAL + 0.0726 + 5.501846e+03 + 23 + 9.698579e-08 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:42:01 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + netlib_25fv47 + LP + NETLIB + OPTIMAL + 0.1085 + 5.501846e+03 + 2122 + 0.000000e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:42:06 + + + cvxpy_osqp + cvxpy-1.6.5-OSQP-1.0.4 + netlib_25fv47 + LP + NETLIB + OPTIMAL (INACCURATE) + 0.9447 + 5.502394e+03 + 10000 + 2.584110e-01 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:42:03 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + netlib_25fv47 + LP + NETLIB + OPTIMAL + 0.3604 + 2.133724e+03 + — + -3.368122e+03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:42:06 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + netlib_25fv47 + LP + NETLIB + OPTIMAL + 7.3225 + 5.501881e+03 + 60700 + -5.155162e-02 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:42:01 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + netlib_25fv47 + LP + NETLIB + OPTIMAL + 0.1676 + 5.501847e+03 + — + 3.637979e-12 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:42:05 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + netlib_25fv47 + LP + NETLIB + MAX_ITER + 9.5438 + 4.762702e-18 + 100 + 4.762702e-18 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:35:49 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + netlib_25fv47 + LP + NETLIB + OPTIMAL + 0.3835 + 5.501848e+03 + 29 + 7.254182e-03 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:35:36 + + + scipy_linprog + scipy-1.15.3 + netlib_25fv47 + LP + NETLIB + OPTIMAL + 0.1231 + 5.501846e+03 + 3164 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:41:52 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + netlib_80bau3b + LP + NETLIB + OPTIMAL + 0.8041 + 5.108263e+05 + 40 + 1.494865e-03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:42:12 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + netlib_80bau3b + LP + NETLIB + UNBOUNDED + 6.5560 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:09 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + netlib_80bau3b + LP + NETLIB + OPTIMAL + 0.9250 + 5.108263e+05 + 40 + 8.121534e-05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:42:55 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + netlib_80bau3b + LP + NETLIB + OPTIMAL + 1.0827 + 5.108263e+05 + 5583 + 5.820766e-11 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:21 + + + cvxpy_osqp + unknown + netlib_80bau3b + LP + NETLIB + ERROR + 3.1449 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:00 + + + cvxpy_scip + unknown + netlib_80bau3b + LP + NETLIB + ERROR + 1.8056 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:17 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + netlib_80bau3b + LP + NETLIB + OPTIMAL (INACCURATE) + 38.0868 + 6.020501e+05 + 100000 + 4.559505e+02 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:42:52 + + + cvxpy_sdpa + unknown + netlib_80bau3b + LP + NETLIB + ERROR + 2.1383 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:43:13 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + netlib_80bau3b + LP + NETLIB + OPTIMAL + 3.7313 + 5.108263e+05 + 97 + 6.920195e-04 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:36:07 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + netlib_80bau3b + LP + NETLIB + OPTIMAL (INACCURATE) + 3.9683 + 5.108611e+05 + 30 + 8.418329e+01 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:35:59 + + + scipy_linprog + scipy-1.15.3 + netlib_80bau3b + LP + NETLIB + OPTIMAL + 0.9096 + 5.108263e+05 + 3050 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:42:09 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + netlib_truss + LP + NETLIB + OPTIMAL + 0.1632 + 4.588158e+05 + 20 + 2.141378e-03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:20:37 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + netlib_truss 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ERROR + 0.1058 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:25 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + perold + LP + NETLIB + OPTIMAL (INACCURATE) + 0.2200 + -9.266202e+03 + 100 + -5.831680e-09 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:23 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + perold + LP + NETLIB + OPTIMAL + 0.0724 + -9.269937e+03 + 1340 + 0.000000e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:28 + + + cvxpy_osqp + unknown + perold + LP + NETLIB + ERROR + 0.8820 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:24 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + perold + LP + NETLIB + OPTIMAL + 0.2901 + -9.269936e+03 + — + -9.094947e-12 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:27 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + perold + LP + NETLIB + OPTIMAL + 8.3966 + -5.366186e+03 + 73450 + 2.068795e-02 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:22 + + + cvxpy_sdpa + unknown + perold + LP + NETLIB + ERROR + 0.1002 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:26 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + perold + LP + NETLIB + MAX_ITER + 1.6871 + -5.218458e+03 + 100 + 1.951919e+09 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:45:22 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + perold + LP + NETLIB + OPTIMAL (INACCURATE) + 0.5954 + -8.753845e+03 + 45 + 6.818654e-03 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:45:16 + + + scipy_linprog + scipy-1.15.3 + perold + LP + NETLIB + OPTIMAL + 0.0475 + -9.269937e+03 + 1008 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:12 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + pilot + LP + NETLIB + OPTIMAL + 2.3047 + -1.439784e+02 + 59 + -4.020197e-07 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:34 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + pilot + LP + NETLIB + OPTIMAL + 48.5757 + -1.439790e+02 + — + -3.829470e-07 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:09:29 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + pilot + LP + NETLIB + OPTIMAL (INACCURATE) + 1.9115 + -1.439660e+02 + 100 + -3.256503e-09 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:08:33 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + pilot + LP + NETLIB + OPTIMAL + 1.1371 + -1.439790e+02 + 4918 + 4.263256e-11 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:09:38 + + + cvxpy_osqp + unknown + pilot + LP + NETLIB + ERROR + 4.5710 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:08:39 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + pilot + LP + NETLIB + OPTIMAL + 4.0353 + -1.439780e+02 + — + 1.421085e-13 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:09:36 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + pilot + LP + NETLIB + OPTIMAL (INACCURATE) + 55.1407 + -1.311802e+02 + 100000 + -2.424341e+01 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:08:30 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + pilot + LP + NETLIB + OPTIMAL + 1.1382 + -1.439713e+02 + — + -3.979039e-13 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:09:31 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + pilot + LP + NETLIB + MAX_ITER + 1.8832 + -1.438396e+02 + 49 + 2.035173e-01 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:45:37 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + pilot + LP + NETLIB + OPTIMAL + 3.2908 + -1.439791e+02 + 80 + 4.207976e-09 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:45:30 + + + scipy_linprog + scipy-1.15.3 + pilot + LP + NETLIB + OPTIMAL + 1.0464 + -1.439790e+02 + 5482 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:07:30 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + pilot4 + LP + NETLIB + OPTIMAL + 0.0359 + -3.712165e+03 + 35 + -8.839963e-06 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:10:23 + + + cvxpy_cvxopt + unknown + pilot4 + LP + NETLIB + ERROR + 0.1029 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:10:32 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 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2026-07-05 09:12:42 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + pilot87 + LP + NETLIB + OPTIMAL + 3.4044 + 3.017116e+02 + 8410 + 2.046363e-12 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:15:13 + + + cvxpy_osqp + unknown + pilot87 + LP + NETLIB + ERROR + 9.9568 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:12:53 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + pilot87 + LP + NETLIB + OPTIMAL + 8.0719 + 3.017122e+02 + — + -1.966782e-11 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:15:08 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + pilot87 + LP + NETLIB + OPTIMAL (INACCURATE) + 107.7337 + 3.117116e+02 + 100000 + -4.213622e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:12:34 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + pilot87 + LP + NETLIB + INFEASIBLE + 3.5545 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:14:59 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + pilot87 + LP + NETLIB + OPTIMAL + 7.0656 + 3.017116e+02 + 83 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pilot_ja + LP + NETLIB + OPTIMAL + 0.1171 + -6.117933e+03 + 1799 + 2.000888e-11 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:10:03 + + + cvxpy_osqp + unknown + pilot_ja + LP + NETLIB + ERROR + 1.3891 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:09:59 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + pilot_ja + LP + NETLIB + OPTIMAL + 0.7778 + -6.117932e+03 + — + 1.637090e-11 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:10:02 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + pilot_ja + LP + NETLIB + OPTIMAL + 12.5197 + -3.168707e+03 + 72275 + 8.684833e-03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:09:56 + + + cvxpy_sdpa + unknown + pilot_ja + LP + NETLIB + ERROR + 0.1764 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:10:01 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + pilot_ja + LP + NETLIB + STALLED + 0.1934 + -7.182994e+06 + 1 + 7.182994e+06 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:45:48 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + pilot_ja + LP + NETLIB + OPTIMAL (INACCURATE) + 1.7293 + -6.114323e+03 + 73 + 5.342979e-04 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:45:43 + + + scipy_linprog + scipy-1.15.3 + pilot_ja + LP + NETLIB + OPTIMAL + 0.0955 + -6.117933e+03 + 1553 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:09:41 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + pilot_we + LP + NETLIB + OPTIMAL + 0.1002 + -3.146161e+06 + 59 + -8.084062e-03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:10:05 + + + cvxpy_cvxopt + unknown + pilot_we + LP + NETLIB + ERROR + 0.1079 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:10:19 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + pilot_we + LP + NETLIB + OPTIMAL + 0.1161 + -3.146098e+06 + 78 + -5.620620e-04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:10:17 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + pilot_we + LP + NETLIB + OPTIMAL + 0.0937 + -3.146161e+06 + 1737 + 4.656613e-10 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:10:21 + + + cvxpy_osqp + unknown + pilot_we + LP + NETLIB + ERROR + 0.7248 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:10:18 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + pilot_we + LP + NETLIB + OPTIMAL + 0.3379 + -3.146265e+06 + — + -1.036548e+02 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:10:21 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + pilot_we + LP + NETLIB + OPTIMAL (INACCURATE) + 10.1653 + -1.544921e+03 + 100000 + 2.017463e+03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:10:16 + + + cvxpy_sdpa + unknown + pilot_we + LP + NETLIB + ERROR + 0.1360 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:10:20 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + pilot_we + LP + NETLIB + STALLED + 0.1940 + -3.240881e+13 + 1 + 3.240881e+13 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:45:57 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + pilot_we + LP + NETLIB + OPTIMAL 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cvxpy-1.6.5-SCS-3.2.7.post2 + scagr7 + LP + NETLIB + OPTIMAL + 0.2090 + -2.331391e+06 + 43525 + -8.597925e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:20 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + scagr7 + LP + NETLIB + INFEASIBLE + 0.0161 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:22 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + scagr7 + LP + NETLIB + OPTIMAL + 0.2696 + -2.331390e+06 + 20 + 1.070117e-02 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:47:27 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + scagr7 + LP + NETLIB + OPTIMAL + 0.2168 + -2.331390e+06 + 18 + 1.862645e-09 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:47:23 + + + scipy_linprog + scipy-1.15.3 + scagr7 + LP + NETLIB + OPTIMAL + 0.0023 + -2.331390e+06 + 106 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:19 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + scfxm1 + LP + NETLIB + OPTIMAL + 0.0084 + 1.841676e+04 + 17 + 1.197020e-05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:25 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + scfxm1 + LP + NETLIB + OPTIMAL + 0.8944 + 1.841676e+04 + — + 2.785731e-06 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:29 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + scfxm1 + LP + NETLIB + OPTIMAL + 0.0073 + 1.841676e+04 + 17 + 1.539593e-08 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:26 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + scfxm1 + LP + NETLIB + OPTIMAL + 0.0081 + 1.841676e+04 + 315 + 3.637979e-12 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:30 + + + cvxpy_osqp + unknown + scfxm1 + LP + NETLIB + ERROR + 0.1566 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:27 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + scfxm1 + LP + NETLIB + OPTIMAL + 0.0206 + 0.000000e+00 + — + -1.841676e+04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:30 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + scfxm1 + LP + NETLIB + OPTIMAL + 0.7044 + 1.841749e+04 + 26200 + 1.409992e-01 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:26 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + scfxm1 + LP + NETLIB + INFEASIBLE + 0.0406 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:29 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + scfxm1 + LP + NETLIB + OPTIMAL + 0.7588 + 1.841676e+04 + 43 + 1.263491e-05 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:47:37 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + scfxm1 + LP + NETLIB + OPTIMAL + 0.2821 + 1.841676e+04 + 21 + 7.275958e-12 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:47:32 + + + scipy_linprog + scipy-1.15.3 + scfxm1 + LP + NETLIB + OPTIMAL + 0.0079 + 1.841676e+04 + 392 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:24 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + scfxm2 + LP + NETLIB + OPTIMAL + 0.0182 + 3.666026e+04 + 19 + 4.004105e-06 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:32 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + scfxm2 + LP + NETLIB + OPTIMAL + 1.8859 + 3.666026e+04 + — + 9.916257e-07 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:38 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + scfxm2 + LP + NETLIB + OPTIMAL + 0.0144 + 3.666026e+04 + 18 + 5.522452e-08 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:34 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + scfxm2 + LP + NETLIB + OPTIMAL + 0.0171 + 3.666026e+04 + 724 + 0.000000e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:40 + + + cvxpy_osqp + unknown + scfxm2 + LP + NETLIB + ERROR + 0.3323 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:35 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + scfxm2 + LP + NETLIB + OPTIMAL + 0.0429 + 0.000000e+00 + — + -3.666026e+04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:39 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + scfxm2 + LP + NETLIB + OPTIMAL + 1.3117 + 3.666032e+04 + 23875 + -1.359920e-01 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:34 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + scfxm2 + LP + NETLIB + INFEASIBLE + 0.0832 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:38 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + scfxm2 + LP + NETLIB + OPTIMAL + 0.5637 + 3.666026e+04 + 45 + 7.784838e-07 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:47:46 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + scfxm2 + LP + NETLIB + OPTIMAL + 0.2987 + 3.666026e+04 + 24 + 4.365575e-11 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:47:42 + + + scipy_linprog + scipy-1.15.3 + scfxm2 + LP + NETLIB + OPTIMAL + 0.0185 + 3.666026e+04 + 869 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:31 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + scfxm3 + LP + NETLIB + OPTIMAL + 0.0287 + 5.490125e+04 + 19 + 9.161136e-06 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:41 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + scfxm3 + LP + NETLIB + OPTIMAL + 3.0143 + 5.490125e+04 + — + 2.325280e-06 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:50 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + scfxm3 + LP + NETLIB + OPTIMAL + 0.0226 + 5.490125e+04 + 18 + 1.218068e-07 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:45 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + scfxm3 + LP + NETLIB + OPTIMAL + 0.0317 + 5.490125e+04 + 1047 + 7.275958e-12 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:52 + + + cvxpy_osqp + unknown + scfxm3 + LP + NETLIB + ERROR + 0.5274 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:46 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + scfxm3 + LP + NETLIB + OPTIMAL + 0.0684 + 0.000000e+00 + — + -5.490125e+04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:51 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + scfxm3 + LP + NETLIB + OPTIMAL + 2.6657 + 5.490244e+04 + 34475 + -5.438734e-01 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:44 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + scfxm3 + LP + NETLIB + INFEASIBLE + 0.1227 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:51 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + scfxm3 + LP + NETLIB + OPTIMAL + 0.6744 + 5.490125e+04 + 47 + 1.261949e-06 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:47:55 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + scfxm3 + LP + NETLIB + OPTIMAL + 0.3329 + 5.490125e+04 + 25 + 1.018634e-10 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:47:51 + + + scipy_linprog + scipy-1.15.3 + scfxm3 + LP + NETLIB + OPTIMAL + 0.0333 + 5.490125e+04 + 1270 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:40 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + scorpion + LP + NETLIB + OPTIMAL + 0.0053 + 1.878125e+03 + 12 + 2.539154e-06 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:53 + + + cvxpy_cvxopt + unknown + scorpion + LP + NETLIB + ERROR + 0.0349 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:56 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + scorpion + LP + NETLIB + OPTIMAL + 0.0040 + 1.878125e+03 + 13 + 2.626621e-08 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:54 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + scorpion + LP + NETLIB + OPTIMAL + 0.0043 + 1.878125e+03 + 65 + 0.000000e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:57 + + + cvxpy_osqp + unknown + scorpion + LP + NETLIB + ERROR + 0.0959 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:55 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + scorpion + LP + NETLIB + OPTIMAL + 0.0147 + 1.844889e+03 + — + -3.323587e+01 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:57 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + scorpion + LP + NETLIB + OPTIMAL + 0.0766 + 1.878132e+03 + 3700 + -2.221018e-03 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:54 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + scorpion + LP + NETLIB + OPTIMAL + 0.0331 + 1.878125e+03 + — + 9.062280e-05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:56 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + scorpion + LP + NETLIB + OPTIMAL + 0.2967 + 1.878125e+03 + 17 + 1.007745e-05 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:48:05 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + scorpion + LP + NETLIB + OPTIMAL + 0.2422 + 1.878125e+03 + 11 + 1.001124e-07 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:48:00 + + + scipy_linprog + scipy-1.15.3 + scorpion + LP + NETLIB + OPTIMAL + 0.0040 + 1.878125e+03 + 89 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:53 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + scrs8 + LP + NETLIB + OPTIMAL + 0.0146 + 9.042970e+02 + 27 + 3.299460e-06 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:58 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + scrs8 + LP + NETLIB + OPTIMAL + 2.0169 + 9.042970e+02 + — + 1.167949e-05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:17:07 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + scrs8 + LP + NETLIB + OPTIMAL + 0.0126 + 9.042970e+02 + 29 + 9.912435e-08 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:17:03 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + scrs8 + LP + NETLIB + OPTIMAL + 0.0104 + 9.042970e+02 + 242 + 0.000000e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:17:09 + + + cvxpy_osqp + unknown + scrs8 + LP + NETLIB + ERROR + 0.2298 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:17:04 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + scrs8 + LP + NETLIB + OPTIMAL + 0.0312 + 8.995670e+02 + — + -4.729985e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:17:08 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + scrs8 + LP + NETLIB + OPTIMAL (INACCURATE) + 3.8040 + 9.044934e+02 + 100000 + -4.955480e-01 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:17:03 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + scrs8 + LP + NETLIB + OPTIMAL + 0.0705 + 9.042970e+02 + — + 1.566711e-05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:17:08 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + scrs8 + LP + NETLIB + OPTIMAL + 0.7818 + 9.042970e+02 + 36 + 1.411736e-06 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:48:14 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + scrs8 + LP + NETLIB + OPTIMAL + 0.3123 + 9.042970e+02 + 36 + 6.821210e-13 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:48:09 + + + scipy_linprog + scipy-1.15.3 + scrs8 + LP + NETLIB + OPTIMAL + 0.0112 + 9.042970e+02 + 413 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:16:58 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + scsd1 + LP + NETLIB + OPTIMAL + 0.0045 + 8.666667e+00 + 11 + 2.453120e-09 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:17:10 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + scsd1 + LP + NETLIB + OPTIMAL + 0.0952 + 8.666667e+00 + — + 1.901939e-07 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:17:12 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + scsd1 + LP + NETLIB + OPTIMAL + 0.0035 + 8.666667e+00 + 11 + 4.094103e-09 + 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24GB) + 2026-07-05 09:21:12 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + tuff + LP + NETLIB + OPTIMAL (INACCURATE) + 4.2521 + 4.505898e-01 + 100000 + 5.795932e-02 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:08 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + tuff + LP + NETLIB + OPTIMAL (INACCURATE) + 0.0884 + 3.109724e-01 + — + -6.750880e-04 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:11 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + tuff + LP + NETLIB + MAX_ITER + 3.4397 + 3.360707e-24 + 100 + 3.360707e-24 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:52:17 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + tuff + LP + NETLIB + OPTIMAL + 0.2349 + 2.921478e-01 + 21 + 3.024758e-10 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:52:10 + + + scipy_linprog + scipy-1.15.3 + tuff + LP + NETLIB + OPTIMAL + 0.0080 + 3.109724e-01 + 239 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:03 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + vtp_base + LP + NETLIB + OPTIMAL + 0.0062 + -7.562975e+04 + 24 + -2.054612e+05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:13 + + + cvxpy_cvxopt + cvxpy-1.6.5-CVXOPT-1.3.2 + vtp_base + LP + NETLIB + OPTIMAL + 1.2436 + -7.562980e+04 + — + -2.054613e+05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:18 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + vtp_base + LP + NETLIB + OPTIMAL + 0.0066 + -7.562980e+04 + 28 + -2.054613e+05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:16 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + vtp_base + LP + NETLIB + OPTIMAL + 0.0041 + -7.562980e+04 + 76 + -2.054613e+05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:20 + + + cvxpy_osqp + unknown + vtp_base + LP + NETLIB + ERROR + 0.0753 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:17 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + vtp_base + LP + NETLIB + OPTIMAL + 0.0125 + 0.000000e+00 + — + -1.298315e+05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:20 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + vtp_base + LP + NETLIB + OPTIMAL + 1.4138 + -7.587738e+04 + 92100 + -2.059940e+05 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:15 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + vtp_base + LP + NETLIB + UNBOUNDED + 0.0351 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:19 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + vtp_base + LP + NETLIB + OPTIMAL + 0.9183 + 1.298315e+05 + 36 + 1.010281e-06 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:52:27 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + vtp_base + LP + NETLIB + OPTIMAL + 0.3380 + 1.298314e+05 + 43 + 4.631677e-05 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:52:22 + + + scipy_linprog + scipy-1.15.3 + vtp_base + LP + NETLIB + OPTIMAL + 0.0029 + 1.298315e+05 + 26 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:13 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + wood1p + LP + NETLIB + OPTIMAL + 0.1184 + 1.442902e+00 + 19 + 2.360334e-13 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:22 + + + cvxpy_cvxopt + unknown + wood1p + LP + NETLIB + ERROR + 0.1375 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:27 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + wood1p + LP + NETLIB + OPTIMAL + 0.1007 + 1.442902e+00 + 18 + 8.291146e-13 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:24 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + wood1p + LP + NETLIB + OPTIMAL + 0.0607 + 1.442902e+00 + 325 + 8.881784e-16 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:30 + + + cvxpy_osqp + unknown + wood1p + LP + NETLIB + ERROR + 1.5874 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:26 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + wood1p + LP + NETLIB + OPTIMAL + 0.2325 + 0.000000e+00 + — + -1.442902e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:29 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + wood1p + LP + NETLIB + OPTIMAL + 0.3716 + 1.442903e+00 + 1825 + 3.800446e-08 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:23 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + wood1p + LP + NETLIB + OPTIMAL (INACCURATE) + 0.4778 + 1.497045e+00 + — + 6.213650e-02 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:28 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + wood1p + LP + NETLIB + MAX_ITER + 1.0318 + 1.444963e+00 + 39 + 2.120899e-03 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:52:38 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + wood1p + LP + NETLIB + OPTIMAL + 0.3384 + 1.442902e+00 + 17 + 3.333955e-11 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:52:32 + + + scipy_linprog + scipy-1.15.3 + wood1p + LP + NETLIB + OPTIMAL + 0.0580 + 1.442902e+00 + 249 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:21 + + + cvxpy_clarabel + cvxpy-1.6.5-CLARABEL-0.11.0 + woodw + LP + NETLIB + OPTIMAL + 0.1478 + 1.304476e+00 + 28 + 2.140066e-12 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:33 + + + cvxpy_cvxopt + unknown + woodw + LP + NETLIB + ERROR + 37.1522 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:22:40 + + + cvxpy_ecos + cvxpy-1.6.5-ECOS-2.0.14 + woodw + LP + NETLIB + OPTIMAL + 0.1339 + 1.304476e+00 + 27 + 2.060574e-13 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:59 + + + cvxpy_highs + cvxpy-1.6.5-HIGHS-1.11.0 + woodw + LP + NETLIB + OPTIMAL + 0.1503 + 1.304476e+00 + 1406 + 0.000000e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:22:45 + + + cvxpy_osqp + unknown + woodw + LP + NETLIB + ERROR + 1.8100 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:22:02 + + + cvxpy_scip + cvxpy-1.6.5-SCIP-5.5.0 + woodw + LP + NETLIB + OPTIMAL + 0.3068 + 0.000000e+00 + — + -1.304476e+00 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:22:43 + + + cvxpy_scs + cvxpy-1.6.5-SCS-3.2.7.post2 + woodw + LP + NETLIB + OPTIMAL (INACCURATE) + 23.6764 + 1.306527e+00 + 100000 + -1.139183e-06 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:57 + + + cvxpy_sdpa + cvxpy-1.6.5-SDPA-0.2.2 + woodw + LP + NETLIB + OPTIMAL (INACCURATE) + 0.5204 + 1.304477e+00 + — + 2.588313e-07 + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:22:42 + + + matlab_sdpt3 + SDPT3-4.0-20240410 (MATLAB 24.1.0.2537033 (R2024a)) + woodw + LP + NETLIB + MAX_ITER + 0.5453 + 1.305254e+00 + 35 + 1.017399e-03 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:52:49 + + + matlab_sedumi + SeDuMi-1.3.7 (MATLAB 24.1.0.2537033 (R2024a)) + woodw + LP + NETLIB + OPTIMAL + 0.4923 + 1.304476e+00 + 36 + 1.294520e-13 + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:52:44 + + + scipy_linprog + scipy-1.15.3 + woodw + LP + NETLIB + OPTIMAL + 0.1132 + 1.304476e+00 + 835 + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:21:31 + + + cvxpy_clarabel + unknown + dfl001 + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.7880 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 08:50:22 + + + cvxpy_cvxopt + unknown + dfl001 + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.9438 + — + — 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(8CPU, 24GB) + 2026-07-05 09:01:22 + + + cvxpy_osqp + unknown + gfrd_pnc + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.5247 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:01:20 + + + cvxpy_scip + unknown + gfrd_pnc + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.5708 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:01:22 + + + cvxpy_scs + unknown + gfrd_pnc + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.6518 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:01:19 + + + cvxpy_sdpa + unknown + gfrd_pnc + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.6594 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:01:21 + + + matlab_sdpt3 + unknown + gfrd_pnc + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 4.4923 + — + — + — + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:42:19 + + + matlab_sedumi + unknown + gfrd_pnc + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 3.4723 + — + — + — + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:42:15 + + + scipy_linprog + unknown + gfrd_pnc + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.5795 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:01:18 + + + cvxpy_clarabel + unknown + sierra + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.5412 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:19:30 + + + cvxpy_cvxopt + unknown + sierra + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.5840 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:19:33 + + + cvxpy_ecos + unknown + sierra + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.5189 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:19:32 + + + cvxpy_highs + unknown + sierra + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.5737 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:19:34 + + + cvxpy_osqp + unknown + sierra + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.5368 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:19:32 + + + cvxpy_scip + unknown + sierra + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.5442 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:19:34 + + + cvxpy_scs + unknown + sierra + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.5768 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:19:31 + + + cvxpy_sdpa + unknown + sierra + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.5370 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:19:33 + + + matlab_sdpt3 + unknown + sierra + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 4.6465 + — + — + — + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:50:59 + + + matlab_sedumi + unknown + sierra + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 4.8281 + — + — + — + d073ec31 + Darwin (8CPU, 24GB) + 2026-07-05 12:50:55 + + + scipy_linprog + unknown + sierra + UNKNOWN + NETLIB + SUBPROCESS_ERROR + 0.5157 + — + — + — + 9e5db94f + Darwin (8CPU, 24GB) + 2026-07-05 09:19:30 + cvxpy_clarabel cvxpy-1.6.5-CLARABEL-0.11.0 @@ -6017,7 +21583,7 @@

    📋 Detailed Results

    arch0 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -6182,7 +21748,7 @@

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    arch2 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -6347,7 +21913,7 @@

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    arch4 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -6512,7 +22078,7 @@

    📋 Detailed Results

    arch8 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -6542,7 +22108,7 @@

    📋 Detailed Results

    arch8 SDP SDPLIB - UNKNOWN + UNKNOWN 1.4575 -7.056980e+00 25 @@ -6842,7 +22408,7 @@

    📋 Detailed Results

    control10 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -6872,7 +22438,7 @@

    📋 Detailed Results

    control10 SDP SDPLIB - UNKNOWN + UNKNOWN 8.5445 -3.853290e+01 26 @@ -6887,7 +22453,7 @@

    📋 Detailed Results

    control10 SDP SDPLIB - NUM_ERROR + NUM_ERROR 17.5351 -3.853310e+01 43 @@ -6917,7 +22483,7 @@

    📋 Detailed Results

    control11 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -7007,7 +22573,7 @@

    📋 Detailed Results

    control11 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -7037,7 +22603,7 @@

    📋 Detailed Results

    control11 SDP SDPLIB - UNKNOWN + UNKNOWN 11.5590 -3.195862e+01 24 @@ -7052,7 +22618,7 @@

    📋 Detailed Results

    control11 SDP SDPLIB - NUM_ERROR + NUM_ERROR 30.7331 -3.195870e+01 47 @@ -7202,7 +22768,7 @@

    📋 Detailed Results

    control2 SDP SDPLIB - MAX_ITER + MAX_ITER 0.4101 -8.300000e+00 21 @@ -7367,7 +22933,7 @@

    📋 Detailed Results

    control3 SDP SDPLIB - MAX_ITER + MAX_ITER 0.5670 -1.363326e+01 21 @@ -7382,7 +22948,7 @@

    📋 Detailed Results

    control3 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.5064 -1.363327e+01 34 @@ -7532,7 +23098,7 @@

    📋 Detailed Results

    control4 SDP SDPLIB - UNKNOWN + UNKNOWN 0.9797 -1.979423e+01 21 @@ -7547,7 +23113,7 @@

    📋 Detailed Results

    control4 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.6196 -1.979423e+01 35 @@ -7697,7 +23263,7 @@

    📋 Detailed Results

    control5 SDP SDPLIB - UNKNOWN + UNKNOWN 2.2112 -1.688360e+01 25 @@ -7712,7 +23278,7 @@

    📋 Detailed Results

    control5 SDP SDPLIB - NUM_ERROR + NUM_ERROR 1.1899 -1.688361e+01 35 @@ -7862,7 +23428,7 @@

    📋 Detailed Results

    control6 SDP SDPLIB - UNKNOWN + UNKNOWN 1.4894 -3.730438e+01 22 @@ -7877,7 +23443,7 @@

    📋 Detailed Results

    control6 SDP SDPLIB - NUM_ERROR + NUM_ERROR 2.2992 -3.730448e+01 40 @@ -7997,7 +23563,7 @@

    📋 Detailed Results

    control7 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -8027,7 +23593,7 @@

    📋 Detailed Results

    control7 SDP SDPLIB - UNKNOWN + UNKNOWN 2.1745 -2.062506e+01 22 @@ -8042,7 +23608,7 @@

    📋 Detailed Results

    control7 SDP SDPLIB - NUM_ERROR + NUM_ERROR 3.7044 -2.062509e+01 40 @@ -8162,7 +23728,7 @@

    📋 Detailed Results

    control8 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -8192,7 +23758,7 @@

    📋 Detailed Results

    control8 SDP SDPLIB - UNKNOWN + UNKNOWN 3.2315 -2.028634e+01 22 @@ -8207,7 +23773,7 @@

    📋 Detailed Results

    control8 SDP SDPLIB - NUM_ERROR + NUM_ERROR 6.0666 -2.028638e+01 40 @@ -8327,7 +23893,7 @@

    📋 Detailed Results

    control9 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -8357,7 +23923,7 @@

    📋 Detailed Results

    control9 SDP SDPLIB - UNKNOWN + UNKNOWN 5.1646 -1.467541e+01 24 @@ -8372,7 +23938,7 @@

    📋 Detailed Results

    control9 SDP SDPLIB - NUM_ERROR + NUM_ERROR 10.2129 -1.467543e+01 40 @@ -8402,7 +23968,7 @@

    📋 Detailed Results

    equalG11 SDP SDPLIB - SIGKILL + SIGKILL 32.2937 — — @@ -8417,7 +23983,7 @@

    📋 Detailed Results

    equalG11 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -8492,7 +24058,7 @@

    📋 Detailed Results

    equalG11 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -8537,7 +24103,7 @@

    📋 Detailed Results

    equalG11 SDP SDPLIB - NUM_ERROR + NUM_ERROR 40.7362 -6.291549e+02 24 @@ -8567,7 +24133,7 @@

    📋 Detailed Results

    equalG51 SDP SDPLIB - SIGKILL + SIGKILL 36.0378 — — @@ -8582,7 +24148,7 @@

    📋 Detailed Results

    equalG51 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -8657,7 +24223,7 @@

    📋 Detailed Results

    equalG51 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -8702,7 +24268,7 @@

    📋 Detailed Results

    equalG51 SDP SDPLIB - NUM_ERROR + NUM_ERROR 84.3263 -4.005600e+03 30 @@ -8867,7 +24433,7 @@

    📋 Detailed Results

    gpp100 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.7722 4.494352e+01 21 @@ -8987,7 +24553,7 @@

    📋 Detailed Results

    gpp124-1 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -9032,7 +24598,7 @@

    📋 Detailed Results

    gpp124-1 SDP SDPLIB - NUM_ERROR + NUM_ERROR 1.0113 7.343040e+00 23 @@ -9152,7 +24718,7 @@

    📋 Detailed Results

    gpp124-2 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -9197,7 +24763,7 @@

    📋 Detailed Results

    gpp124-2 SDP SDPLIB - NUM_ERROR + NUM_ERROR 1.0674 4.686230e+01 23 @@ -9317,7 +24883,7 @@

    📋 Detailed Results

    gpp124-3 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -9362,7 +24928,7 @@

    📋 Detailed Results

    gpp124-3 SDP SDPLIB - NUM_ERROR + NUM_ERROR 1.3415 1.530141e+02 23 @@ -9482,7 +25048,7 @@

    📋 Detailed Results

    gpp124-4 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -9527,7 +25093,7 @@

    📋 Detailed Results

    gpp124-4 SDP SDPLIB - NUM_ERROR + NUM_ERROR 1.2991 4.189878e+02 25 @@ -9557,7 +25123,7 @@

    📋 Detailed Results

    gpp250-1 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -9647,7 +25213,7 @@

    📋 Detailed Results

    gpp250-1 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -9677,7 +25243,7 @@

    📋 Detailed Results

    gpp250-1 SDP SDPLIB - UNKNOWN + UNKNOWN 1.3053 1.544492e+01 18 @@ -9692,7 +25258,7 @@

    📋 Detailed Results

    gpp250-1 SDP SDPLIB - NUM_ERROR + NUM_ERROR 3.5782 1.544488e+01 25 @@ -9722,7 +25288,7 @@

    📋 Detailed Results

    gpp250-2 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -9812,7 +25378,7 @@

    📋 Detailed Results

    gpp250-2 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -9857,7 +25423,7 @@

    📋 Detailed Results

    gpp250-2 SDP SDPLIB - NUM_ERROR + NUM_ERROR 3.7947 8.186902e+01 25 @@ -9887,7 +25453,7 @@

    📋 Detailed Results

    gpp250-3 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -9977,7 +25543,7 @@

    📋 Detailed Results

    gpp250-3 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -10022,7 +25588,7 @@

    📋 Detailed Results

    gpp250-3 SDP SDPLIB - NUM_ERROR + NUM_ERROR 4.0215 3.035393e+02 26 @@ -10052,7 +25618,7 @@

    📋 Detailed Results

    gpp250-4 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -10142,7 +25708,7 @@

    📋 Detailed Results

    gpp250-4 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -10187,7 +25753,7 @@

    📋 Detailed Results

    gpp250-4 SDP SDPLIB - NUM_ERROR + NUM_ERROR 3.3964 7.473286e+02 24 @@ -10217,7 +25783,7 @@

    📋 Detailed Results

    gpp500-1 SDP SDPLIB - SIGKILL + SIGKILL 28.5375 — — @@ -10307,7 +25873,7 @@

    📋 Detailed Results

    gpp500-1 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -10337,7 +25903,7 @@

    📋 Detailed Results

    gpp500-1 SDP SDPLIB - NUM_ERROR + NUM_ERROR 2.9479 2.532055e+01 22 @@ -10352,7 +25918,7 @@

    📋 Detailed Results

    gpp500-1 SDP SDPLIB - NUM_ERROR + NUM_ERROR 15.3771 2.532063e+01 28 @@ -10382,7 +25948,7 @@

    📋 Detailed Results

    gpp500-2 SDP SDPLIB - SIGKILL + SIGKILL 28.7456 — — @@ -10472,7 +26038,7 @@

    📋 Detailed Results

    gpp500-2 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -10517,7 +26083,7 @@

    📋 Detailed Results

    gpp500-2 SDP SDPLIB - NUM_ERROR + NUM_ERROR 15.8420 1.560607e+02 27 @@ -10547,7 +26113,7 @@

    📋 Detailed Results

    gpp500-3 SDP SDPLIB - SIGKILL + SIGKILL 30.8091 — — @@ -10562,7 +26128,7 @@

    📋 Detailed Results

    gpp500-3 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -10637,7 +26203,7 @@

    📋 Detailed Results

    gpp500-3 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -10682,7 +26248,7 @@

    📋 Detailed Results

    gpp500-3 SDP SDPLIB - NUM_ERROR + NUM_ERROR 18.1657 5.130181e+02 27 @@ -10712,7 +26278,7 @@

    📋 Detailed Results

    gpp500-4 SDP SDPLIB - SIGKILL + SIGKILL 30.2128 — — @@ -10727,7 +26293,7 @@

    📋 Detailed Results

    gpp500-4 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -10802,7 +26368,7 @@

    📋 Detailed Results

    gpp500-4 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -10847,7 +26413,7 @@

    📋 Detailed Results

    gpp500-4 SDP SDPLIB - NUM_ERROR + NUM_ERROR 15.8195 1.567019e+03 26 @@ -10997,7 +26563,7 @@

    📋 Detailed Results

    hinf1 SDP SDPLIB - UNKNOWN + UNKNOWN 0.3722 -2.032730e+00 22 @@ -11012,7 +26578,7 @@

    📋 Detailed Results

    hinf1 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.3809 -2.032703e+00 24 @@ -11162,7 +26728,7 @@

    📋 Detailed Results

    hinf10 SDP SDPLIB - UNKNOWN + UNKNOWN 0.3654 -1.087683e+02 23 @@ -11177,7 +26743,7 @@

    📋 Detailed Results

    hinf10 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.3626 -1.087599e+02 24 @@ -11327,7 +26893,7 @@

    📋 Detailed Results

    hinf11 SDP SDPLIB - UNKNOWN + UNKNOWN 0.4292 -6.591623e+01 25 @@ -11342,7 +26908,7 @@

    📋 Detailed Results

    hinf11 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.3755 -6.588284e+01 26 @@ -11492,7 +27058,7 @@

    📋 Detailed Results

    hinf12_sdp SDP SDPLIB - UNKNOWN + UNKNOWN 0.5893 -2.257156e-05 61 @@ -11657,7 +27223,7 @@

    📋 Detailed Results

    hinf13_sdp SDP SDPLIB - UNKNOWN + UNKNOWN 0.5202 -4.436055e+01 31 @@ -11672,7 +27238,7 @@

    📋 Detailed Results

    hinf13_sdp SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.3435 -4.498783e+01 16 @@ -11822,7 +27388,7 @@

    📋 Detailed Results

    hinf14 SDP SDPLIB - UNKNOWN + UNKNOWN 0.5132 -1.298996e+01 31 @@ -11837,7 +27403,7 @@

    📋 Detailed Results

    hinf14 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.4244 -1.299443e+01 24 @@ -11987,7 +27553,7 @@

    📋 Detailed Results

    hinf15 SDP SDPLIB - UNKNOWN + UNKNOWN 0.5514 -2.398784e+01 29 @@ -12002,7 +27568,7 @@

    📋 Detailed Results

    hinf15 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.3234 -2.483998e+01 16 @@ -12152,7 +27718,7 @@

    📋 Detailed Results

    hinf2 SDP SDPLIB - UNKNOWN + UNKNOWN 0.3056 -1.096925e+01 15 @@ -12167,7 +27733,7 @@

    📋 Detailed Results

    hinf2 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.2912 -1.096725e+01 18 @@ -12332,7 +27898,7 @@

    📋 Detailed Results

    hinf3 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.2846 -5.694167e+01 18 @@ -12482,7 +28048,7 @@

    📋 Detailed Results

    hinf4 SDP SDPLIB - MAX_ITER + MAX_ITER 0.3484 -2.747657e+02 21 @@ -12647,7 +28213,7 @@

    📋 Detailed Results

    hinf5 SDP SDPLIB - UNKNOWN + UNKNOWN 0.3070 -3.628408e+02 16 @@ -12662,7 +28228,7 @@

    📋 Detailed Results

    hinf5 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.2958 -3.621390e+02 19 @@ -12812,7 +28378,7 @@

    📋 Detailed Results

    hinf6 SDP SDPLIB - MAX_ITER + MAX_ITER 0.3866 -4.489485e+02 26 @@ -12827,7 +28393,7 @@

    📋 Detailed Results

    hinf6 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.3450 -4.489387e+02 23 @@ -12992,7 +28558,7 @@

    📋 Detailed Results

    hinf7 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.3002 -3.904187e+02 20 @@ -13142,7 +28708,7 @@

    📋 Detailed Results

    hinf8 SDP SDPLIB - MAX_ITER + MAX_ITER 0.3581 -1.161891e+02 21 @@ -13157,7 +28723,7 @@

    📋 Detailed Results

    hinf8 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.3128 -1.161480e+02 18 @@ -13307,7 +28873,7 @@

    📋 Detailed Results

    hinf9 SDP SDPLIB - UNKNOWN + UNKNOWN 0.3678 -2.362493e+02 23 @@ -13442,7 +29008,7 @@

    📋 Detailed Results

    maxG11 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -13517,7 +29083,7 @@

    📋 Detailed Results

    maxG32 SDP SDPLIB - SUBPROCESS_ERROR + SUBPROCESS_ERROR 1.0812 — — @@ -13532,7 +29098,7 @@

    📋 Detailed Results

    maxG32 SDP SDPLIB - SUBPROCESS_ERROR + SUBPROCESS_ERROR 1.0752 — — @@ -13607,7 +29173,7 @@

    📋 Detailed Results

    maxG32 SDP SDPLIB - SUBPROCESS_ERROR + SUBPROCESS_ERROR 1.0643 — — @@ -13622,7 +29188,7 @@

    📋 Detailed Results

    maxG32 SDP SDPLIB - SUBPROCESS_ERROR + SUBPROCESS_ERROR 1.0840 — — @@ -13652,7 +29218,7 @@

    📋 Detailed Results

    maxG32 SDP SDPLIB - TIMEOUT + TIMEOUT 300.0000 — — @@ -13682,7 +29248,7 @@

    📋 Detailed Results

    maxG51 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -13697,7 +29263,7 @@

    📋 Detailed Results

    maxG51 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -13772,7 +29338,7 @@

    📋 Detailed Results

    maxG51 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -15167,7 +30733,7 @@

    📋 Detailed Results

    mcp250-4 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -15422,7 +30988,7 @@

    📋 Detailed Results

    mcp500-1 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -15497,7 +31063,7 @@

    📋 Detailed Results

    mcp500-2 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -15587,7 +31153,7 @@

    📋 Detailed Results

    mcp500-2 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -15662,7 +31228,7 @@

    📋 Detailed Results

    mcp500-3 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -15752,7 +31318,7 @@

    📋 Detailed Results

    mcp500-3 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -15827,7 +31393,7 @@

    📋 Detailed Results

    mcp500-4 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -15917,7 +31483,7 @@

    📋 Detailed Results

    mcp500-4 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -16112,7 +31678,7 @@

    📋 Detailed Results

    qap10 SDP SDPLIB - UNKNOWN + UNKNOWN 0.8022 1.092540e+03 14 @@ -16127,7 +31693,7 @@

    📋 Detailed Results

    qap10 SDP SDPLIB - NUM_ERROR + NUM_ERROR 2.5004 1.092580e+03 26 @@ -16457,7 +32023,7 @@

    📋 Detailed Results

    qap6 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.3632 3.814237e+02 22 @@ -16607,7 +32173,7 @@

    📋 Detailed Results

    qap7 SDP SDPLIB - UNKNOWN + UNKNOWN 0.6351 4.247884e+02 19 @@ -16622,7 +32188,7 @@

    📋 Detailed Results

    qap7 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.5065 4.248084e+02 24 @@ -16787,7 +32353,7 @@

    📋 Detailed Results

    qap8 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.8749 7.569341e+02 27 @@ -16952,7 +32518,7 @@

    📋 Detailed Results

    qap9 SDP SDPLIB - NUM_ERROR + NUM_ERROR 1.2836 1.409918e+03 25 @@ -16997,7 +32563,7 @@

    📋 Detailed Results

    qpG11 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -17072,7 +32638,7 @@

    📋 Detailed Results

    qpG11 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -17147,7 +32713,7 @@

    📋 Detailed Results

    qpG51 SDP SDPLIB - SUBPROCESS_ERROR + SUBPROCESS_ERROR 0.9330 — — @@ -17162,7 +32728,7 @@

    📋 Detailed Results

    qpG51 SDP SDPLIB - SUBPROCESS_ERROR + SUBPROCESS_ERROR 0.9213 — — @@ -17237,7 +32803,7 @@

    📋 Detailed Results

    qpG51 SDP SDPLIB - SUBPROCESS_ERROR + SUBPROCESS_ERROR 0.9268 — — @@ -17252,7 +32818,7 @@

    📋 Detailed Results

    qpG51 SDP SDPLIB - SUBPROCESS_ERROR + SUBPROCESS_ERROR 0.9359 — — @@ -17282,7 +32848,7 @@

    📋 Detailed Results

    qpG51 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -17402,7 +32968,7 @@

    📋 Detailed Results

    ss30 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -17432,7 +32998,7 @@

    📋 Detailed Results

    ss30 SDP SDPLIB - UNKNOWN + UNKNOWN 2.8822 -2.023951e+01 21 @@ -17447,7 +33013,7 @@

    📋 Detailed Results

    ss30 SDP SDPLIB - NUM_ERROR + NUM_ERROR 6.7607 -2.023951e+01 37 @@ -17972,7 +33538,7 @@

    📋 Detailed Results

    theta4 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -18137,7 +33703,7 @@

    📋 Detailed Results

    theta5 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -18302,7 +33868,7 @@

    📋 Detailed Results

    theta6 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -18317,7 +33883,7 @@

    📋 Detailed Results

    theta6 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -18482,7 +34048,7 @@

    📋 Detailed Results

    thetaG11 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -18557,7 +34123,7 @@

    📋 Detailed Results

    thetaG11 SDP SDPLIB - TIMEOUT + TIMEOUT 120.0000 — — @@ -18632,7 +34198,7 @@

    📋 Detailed Results

    thetaG51 SDP SDPLIB - SUBPROCESS_ERROR + SUBPROCESS_ERROR 1.5411 — — @@ -18647,7 +34213,7 @@

    📋 Detailed Results

    thetaG51 SDP SDPLIB - SUBPROCESS_ERROR + SUBPROCESS_ERROR 1.5293 — — @@ -18722,7 +34288,7 @@

    📋 Detailed Results

    thetaG51 SDP SDPLIB - SUBPROCESS_ERROR + SUBPROCESS_ERROR 1.5387 — — @@ -18737,7 +34303,7 @@

    📋 Detailed Results

    thetaG51 SDP SDPLIB - SUBPROCESS_ERROR + SUBPROCESS_ERROR 1.5420 — — @@ -18752,7 +34318,7 @@

    📋 Detailed Results

    thetaG51 SDP SDPLIB - UNKNOWN + UNKNOWN 138.0543 -3.490000e+02 39 @@ -18767,7 +34333,7 @@

    📋 Detailed Results

    thetaG51 SDP SDPLIB - TIMEOUT + TIMEOUT 300.0000 — — @@ -19742,7 +35308,7 @@

    📋 Detailed Results

    truss6 SDP SDPLIB - MAX_ITER + MAX_ITER 0.5691 9.010014e+02 24 @@ -19757,7 +35323,7 @@

    📋 Detailed Results

    truss6 SDP SDPLIB - NUM_ERROR + NUM_ERROR 0.9868 9.010014e+02 27 @@ -19907,7 +35473,7 @@

    📋 Detailed Results

    truss7 SDP SDPLIB - UNKNOWN + UNKNOWN 0.5442 9.000014e+02 22 diff --git a/docs/pages/results_matrix.html b/docs/pages/results_matrix.html index a995660..9381f24 100644 --- a/docs/pages/results_matrix.html +++ b/docs/pages/results_matrix.html @@ -11,14 +11,14 @@ padding: 0; box-sizing: border-box; } - + body { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; line-height: 1.6; color: #333; background-color: #f8f9fa; } - + header { background: linear-gradient(135deg, #2c3e50 0%, #3498db 100%); color: white; @@ -26,17 +26,17 @@ padding: 2rem 1rem; margin-bottom: 2rem; } - + header h1 { font-size: 2.5rem; margin-bottom: 0.5rem; } - + header p { font-size: 1.1rem; opacity: 0.9; } - + nav { background: white; padding: 1rem; @@ -44,7 +44,7 @@ box-shadow: 0 2px 4px rgba(0,0,0,0.1); margin-bottom: 2rem; } - + nav a { color: #2c3e50; text-decoration: none; @@ -53,29 +53,29 @@ border-radius: 4px; transition: background-color 0.2s; } - + nav a:hover { background-color: #ecf0f1; } - + nav a.active { background-color: #3498db; color: white; } - + main { max-width: 1400px; margin: 0 auto; padding: 0 1rem; } - + .section { background: white; margin: 2rem 0; border-radius: 8px; box-shadow: 0 2px 10px rgba(0,0,0,0.1); } - + .section h2 { background: linear-gradient(135deg, #34495e 0%, #2c3e50 100%); color: white; @@ -84,11 +84,11 @@ border-radius: 8px 8px 0 0; font-size: 1.5rem; } - + .section-content { padding: 1.5rem; } - + .table-container { overflow-x: auto; margin: 1rem 0; @@ -97,14 +97,14 @@ max-height: 90vh; overflow-y: auto; } - + .matrix-table { width: 100%; border-collapse: collapse; margin: 0; font-size: 0.85em; } - + .matrix-table th, .matrix-table td { padding: 4px 6px; text-align: center; @@ -112,7 +112,7 @@ line-height: 1.2; vertical-align: top; } - + .matrix-table th { background-color: #f8f9fa; font-weight: 600; @@ -122,29 +122,32 @@ z-index: 10; box-shadow: 0 2px 2px -1px rgba(0, 0, 0, 0.4); } - + .matrix-table .problem-name { text-align: left; font-weight: bold; background-color: #f8f9fa; color: #2c3e50; } - + /* Status classes - no background colors, keep for structure */ .status-optimal, .status-optimal-inaccurate, .status-error, .status-infeasible, .status-unsupported, + .status-stalled, + .status-max-iter, + .status-num-error, .status-unknown { /* No background colors - focus on accuracy/speed instead */ } - + /* Library boundary styles */ .library-boundary { border-top: 3px solid #34495e !important; } - + /* Gray styling for non-solution statuses */ .status-timeout, .status-sigkill, @@ -152,7 +155,7 @@ .status-unsupported { color: #999 !important; } - + .status-timeout .cell-status, .status-timeout .cell-solve-time, .status-timeout .cell-objective, @@ -167,7 +170,7 @@ .status-unsupported .cell-objective { color: #999 !important; } - + /* Cell layout for fixed 3-row structure */ .cell-content { display: flex; @@ -175,7 +178,7 @@ gap: 2px; min-height: 42px; } - + .cell-status { font-size: 0.75em; font-weight: bold; @@ -185,44 +188,44 @@ text-overflow: ellipsis; max-width: 100%; } - + .cell-solve-time { font-size: 0.8em; color: #7f8c8d; font-family: 'Courier New', monospace; line-height: 1.1; } - + .cell-objective { font-size: 0.8em; font-family: 'Courier New', monospace; font-weight: 500; line-height: 1.1; } - + /* Accuracy-based coloring for objective values */ .accuracy-excellent { color: #28a745; /* Green - excellent accuracy */ } - + .accuracy-good { color: #ffc107; /* Amber - good accuracy */ } - + .accuracy-poor { color: #dc3545; /* Red - poor accuracy */ } - + .accuracy-unknown { color: #6c757d; /* Gray - unknown accuracy */ } - + /* Fastest time among excellent accuracy */ .fastest-excellent { font-weight: bold; color: #2563eb; /* Blue - emphasize fastest with good accuracy */ } - + .matrix-note { margin: 2rem 0; padding: 1.5rem; @@ -231,34 +234,34 @@ border-radius: 6px; border-left: 4px solid #f39c12; } - + .matrix-note-content { color: #856404; line-height: 1.6; white-space: pre-line; } - + .matrix-note-content strong { color: #6c5119; } - + .legend { margin: 2rem 0; padding: 1.5rem; background: #ecf0f1; border-radius: 6px; } - + .legend h3 { color: #2c3e50; margin-bottom: 1rem; } - + .legend p { margin: 0.5rem 0; color: #34495e; } - + footer { text-align: center; padding: 2rem; @@ -266,13 +269,13 @@ border-top: 1px solid #ecf0f1; margin-top: 3rem; } - + footer a { color: #3498db; text-decoration: none; margin: 0 1rem; } - + footer a:hover { text-decoration: underline; } @@ -283,22 +286,22 @@

    🔬 Optimization Solver Benchmark

    Results Matrix - Problems × Solvers

    -

    Generated: 2025-08-05 16:09:43 UTC

    +

    Generated: 2026-07-05 14:24:15 UTC

    - + - +

    📊 Results Matrix

    - +

    📖 Legend

    @@ -320,7 +323,7 @@

    📖 Legend

    - +
    @@ -336,13 +339,13 @@

    📖 Legend

    - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + - - - - + + + - - - - + + + - - - - + + + @@ -3111,7 +9788,7 @@

    📖 Legend

    8.544s
    -3.85329e+01
    - - - - - - - - diff --git a/scripts/reporting/results_matrix_report.py b/scripts/reporting/results_matrix_report.py index 57ce1c4..2acb876 100644 --- a/scripts/reporting/results_matrix_report.py +++ b/scripts/reporting/results_matrix_report.py @@ -179,6 +179,9 @@ def generate_results_matrix(self, results: List[BenchmarkResult]) -> str: .status-error, .status-infeasible, .status-unsupported, + .status-stalled, + .status-max-iter, + .status-num-error, .status-unknown { /* No background colors - focus on accuracy/speed instead */ } @@ -492,6 +495,12 @@ def generate_results_matrix(self, results: List[BenchmarkResult]) -> str: css_class = "status-sigkill" elif status_lower == "subprocess_error": css_class = "status-subprocess-error" + elif status_lower == "stalled": + css_class = "status-stalled" + elif status_lower == "max_iter": + css_class = "status-max-iter" + elif status_lower == "num_error": + css_class = "status-num-error" elif status_lower == "error": css_class = "status-error" elif status_lower in ["infeasible", "unbounded"]: @@ -575,6 +584,9 @@ def generate_results_matrix(self, results: List[BenchmarkResult]) -> str:

    OPTIMAL - Successfully solved to optimality

    ERROR - Solver encountered an error

    INFEASIBLE/UNBOUNDED - Problem has no feasible solution

    +

    STALLED - Algorithm progress stagnated

    +

    MAX_ITER - Maximum iterations reached

    +

    NUM_ERROR - Numerical difficulties encountered

    UNSUPPORTED - Solver does not support this problem type

    diff --git a/scripts/solvers/matlab/matlab_process_interface.py b/scripts/solvers/matlab/matlab_process_interface.py index cfa069f..8f4ce08 100644 --- a/scripts/solvers/matlab/matlab_process_interface.py +++ b/scripts/solvers/matlab/matlab_process_interface.py @@ -353,6 +353,8 @@ def safe_int(value): "matlab_version": matlab_version, "solver_backend": matlab_solver, "execution_environment": "matlab", + # Preserve original solver status codes for reproducibility + "original_status": matlab_result.get("original_status", {}), }, ) except Exception as e: diff --git a/scripts/solvers/matlab/matlab_solver_runner.m b/scripts/solvers/matlab/matlab_solver_runner.m index 201dc64..4b25a96 100644 --- a/scripts/solvers/matlab/matlab_solver_runner.m +++ b/scripts/solvers/matlab/matlab_solver_runner.m @@ -46,6 +46,8 @@ function matlab_solver_runner(problem_name, solver_name, result_file, save_solut [A, b, c, K] = mat_loader(file_path); elseif strcmp(file_type, 'dat-s') [A, b, c, K] = dat_loader(file_path); + elseif strcmp(file_type, 'mps') + [A, b, c, K] = mps_loader(file_path); else error('Unsupported file type: %s', file_type); end @@ -155,6 +157,25 @@ function matlab_solver_runner(problem_name, solver_name, result_file, save_solut json_result.solver_version = result.solver_version; json_result.solver_name = result.solver_name; + + % Include original_status for reproducibility if it exists + if isfield(result, 'original_status') + json_result.original_status = result.original_status; + end + + % Include other optional fields that may exist + if isfield(result, 'termination_reason') + json_result.termination_reason = result.termination_reason; + end + if isfield(result, 'error_message') + json_result.error_message = result.error_message; + end + if isfield(result, 'setup_time') + json_result.setup_time = result.setup_time; + end + if isfield(result, 'solver_options') + json_result.solver_options = result.solver_options; + end end function error_result = create_error_result(ME, solver_name) @@ -681,6 +702,11 @@ function matlab_solver_runner(problem_name, solver_name, result_file, save_solut % Add additional metadata standardized_result.timestamp = datestr(now, 'yyyy-mm-dd HH:MM:SS'); standardized_result.matlab_version = version; + + % Preserve original_status for reproducibility if it exists + if isfield(result, 'original_status') + standardized_result.original_status = result.original_status; + end end diff --git a/scripts/solvers/matlab/sdpt3_runner.m b/scripts/solvers/matlab/sdpt3_runner.m index ba5ddc2..12ed404 100644 --- a/scripts/solvers/matlab/sdpt3_runner.m +++ b/scripts/solvers/matlab/sdpt3_runner.m @@ -184,15 +184,36 @@ case 2 result.status = 'unbounded'; result.termination_reason = 'Dual infeasible (primal unbounded)'; + case 3 + result.status = 'num_error'; + result.termination_reason = 'Variables diverging (norm(X) or norm(Z))'; case -1 result.status = 'max_iter'; - result.termination_reason = 'Maximum iterations reached'; + result.termination_reason = 'Relative gap < infeasibility'; case -2 - result.status = 'num_error'; - result.termination_reason = 'Numerical difficulties'; + result.status = 'stalled'; + result.termination_reason = 'Lack of progress in predictor or corrector'; case -3 result.status = 'num_error'; - result.termination_reason = 'No progress in iterations'; + result.termination_reason = 'X or Z not positive definite'; + case -4 + result.status = 'num_error'; + result.termination_reason = 'Difficulty computing predictor or corrector direction'; + case -5 + result.status = 'stalled'; + result.termination_reason = 'Poor progress in relative gap or infeasibility'; + case -6 + result.status = 'max_iter'; + result.termination_reason = 'Maximum number of iterations reached'; + case -7 + result.status = 'stalled'; + result.termination_reason = 'Primal infeasibility deteriorated too much'; + case -8 + result.status = 'stalled'; + result.termination_reason = 'Progress in relative gap deteriorated'; + case -9 + result.status = 'stalled'; + result.termination_reason = 'Lack of progress in infeasibility'; otherwise result.status = 'unknown'; result.termination_reason = sprintf('Unknown termination code: %d', info.termcode); @@ -218,5 +239,16 @@ result.primal_infeasibility = NaN; result.dual_infeasibility = NaN; result.error_message = ''; + + % Store original SDPT3 status information for reproducibility + result.original_status = struct(); + if isfield(info, 'termcode') + result.original_status.termcode = info.termcode; + end + if isfield(info, 'iter') + result.original_status.iter = info.iter; + end + % Store complete info structure for full reproducibility + result.original_status.full_info = info; end diff --git a/scripts/solvers/matlab/sedumi_runner.m b/scripts/solvers/matlab/sedumi_runner.m index e2aab91..ba68ebc 100644 --- a/scripts/solvers/matlab/sedumi_runner.m +++ b/scripts/solvers/matlab/sedumi_runner.m @@ -176,6 +176,12 @@ elseif isfield(info, 'dinf') && info.dinf == 1 result.status = 'unbounded'; result.termination_reason = 'Dual infeasible (primal unbounded)'; + elseif isfield(info, 'numerr') && info.numerr == 1 + result.status = 'optimal (inaccurate)'; + result.termination_reason = 'Numerical problems warning (low accuracy)'; + elseif isfield(info, 'numerr') && info.numerr == 2 + result.status = 'num_error'; + result.termination_reason = 'Complete numerical failure'; elseif isfield(info, 'numerr') && info.numerr > 0 result.status = 'num_error'; result.termination_reason = sprintf('Numerical error (code: %d)', info.numerr); @@ -206,5 +212,25 @@ result.primal_infeasibility = NaN; result.dual_infeasibility = NaN; result.error_message = ''; + + % Store original SEDUMI status information for reproducibility + result.original_status = struct(); + if isfield(info, 'pinf') + result.original_status.pinf = info.pinf; + end + if isfield(info, 'dinf') + result.original_status.dinf = info.dinf; + end + if isfield(info, 'numerr') + result.original_status.numerr = info.numerr; + end + if isfield(info, 'iter') + result.original_status.iter = info.iter; + end + if isfield(info, 'feasratio') + result.original_status.feasratio = info.feasratio; + end + % Store complete info structure for full reproducibility + result.original_status.full_info = info; end diff --git a/scripts/solvers/python/cvxpy_runner.py b/scripts/solvers/python/cvxpy_runner.py index b7cf636..39d9918 100644 --- a/scripts/solvers/python/cvxpy_runner.py +++ b/scripts/solvers/python/cvxpy_runner.py @@ -564,6 +564,29 @@ def proj_onto_soc(z): if cvx_problem.solver_stats and hasattr(cvx_problem.solver_stats, "solve_time"): additional_info["solver_solve_time"] = cvx_problem.solver_stats.solve_time + # Preserve original CVXPY status information for reproducibility + original_status = { + "cvxpy_status": str(cvx_problem.status), + "cvxpy_value": cvx_problem.value, + } + + if cvx_problem.solver_stats: + solver_stats_dict = {} + # Collect all available solver stats + for attr in ["solve_time", "setup_time", "num_iters", "solver_name"]: + if hasattr(cvx_problem.solver_stats, attr): + value = getattr(cvx_problem.solver_stats, attr) + if value is not None: + solver_stats_dict[attr] = value + + # Include extra_stats if available + if hasattr(cvx_problem.solver_stats, "extra_stats") and cvx_problem.solver_stats.extra_stats: + solver_stats_dict["extra_stats"] = cvx_problem.solver_stats.extra_stats + + original_status["solver_stats"] = solver_stats_dict + + additional_info["original_status"] = original_status + self.logger.debug( f"Solve completed: status={status}, " f"primal_obj={primal_objective_value}, dual_obj={dual_objective_value}, " diff --git a/scripts/solvers/python/scipy_runner.py b/scripts/solvers/python/scipy_runner.py index 0329032..cf94d95 100644 --- a/scripts/solvers/python/scipy_runner.py +++ b/scripts/solvers/python/scipy_runner.py @@ -234,6 +234,27 @@ def _solve_lp(self, problem_data: ProblemData, start_time: float) -> SolverResul # Extract minimal solver timing information for memo additional_info = {"solver_solve_time": solve_time} + # Preserve original SciPy status information for reproducibility + original_status = { + "scipy_status": int(result.status), + "scipy_success": bool(result.success), + "scipy_message": str(result.message), + "scipy_fun": float(result.fun) if result.fun is not None else None, + } + + # Include iteration count and other solver stats + if hasattr(result, "nit") and result.nit is not None: + original_status["scipy_nit"] = int(result.nit) + + # Include additional solver-specific information + scipy_specific_attrs = ["crossover_nit", "mip_dual_bound", "mip_gap", "mip_node_count"] + for attr in scipy_specific_attrs: + if hasattr(result, attr) and getattr(result, attr) is not None: + value = getattr(result, attr) + original_status[f"scipy_{attr}"] = value + + additional_info["original_status"] = original_status + self.logger.debug( f"LP solve completed: status={status}, objective={primal_objective_value}, time={solve_time:.3f}s" ) diff --git a/tests/integration/test_problem_registry.py b/tests/integration/test_problem_registry.py index 8cdcaf2..24faa59 100644 --- a/tests/integration/test_problem_registry.py +++ b/tests/integration/test_problem_registry.py @@ -11,7 +11,7 @@ REGISTRY_PATH = PROJECT_ROOT / "config" / "problem_registry.yaml" REQUIRED_KEYS = {"display_name", "file_path", "file_type", "library_name"} -KNOWN_LIBRARIES = {"DIMACS", "SDPLIB"} +KNOWN_LIBRARIES = {"DIMACS", "SDPLIB", "NETLIB"} @pytest.fixture(scope="module") @@ -74,8 +74,13 @@ def test_has_fast_test_problems(problems): def test_problem_files_exist(problems): - # Skip when submodules (problems/DIMACS, problems/SDPLIB) are not checked out - if not any(any((PROJECT_ROOT / "problems" / lib).iterdir()) for lib in KNOWN_LIBRARIES): + # Skip when submodules are not checked out (all must be present to run this test) + submodule_dirs = { + "DIMACS": PROJECT_ROOT / "problems" / "DIMACS" / "data", + "SDPLIB": PROJECT_ROOT / "problems" / "SDPLIB" / "data", + "NETLIB": PROJECT_ROOT / "problems" / "NETLIB" / "mps_files", + } + if not all(d.exists() and any(d.iterdir()) for d in submodule_dirs.values()): pytest.skip("Problem library submodules not checked out") missing = [name for name, config in problems.items() if not (PROJECT_ROOT / config["file_path"]).exists()] diff --git a/tests/unit/test_problem_interface.py b/tests/unit/test_problem_interface.py index 0bc5d1d..5e0a9c6 100644 --- a/tests/unit/test_problem_interface.py +++ b/tests/unit/test_problem_interface.py @@ -105,4 +105,4 @@ def test_statistics_counts(self, interface): assert stats["libraries"] == {"SDPLIB": 1, "DIMACS": 1, "OTHER": 1} assert stats["test_problems"] == 1 assert stats["file_formats"] == {"dat-s": 1, "mat": 1, "qps": 1} - assert set(stats["supported_formats"]) == {"mat", "dat-s"} + assert set(stats["supported_formats"]) == {"mat", "dat-s", "mps"}
    DIMACS bm1 SDP2.34434e+01 + 2.34434e+01
    NUM_ERROR
    7.387s
    2.34399e+01
    -     		+
    NUM_ERROR
    54.541s
    @@ -620,7 +623,7 @@

    📖 Legend

    		DIMACS filter48 SDP1.41613e+00 + 1.41613e+00
    MAX_ITER
    3.386s
    @@ -1046,16 +1049,16 @@

    📖 Legend

    		DIMACS minphase SDP5.98000e+00 + 5.98000e+00
    -
    UNKNOWN
    -
    0.966s
    +
    STALLED
    +
    0.945s
    5.99265e+00
    -     		+
    -
    NUM_ERROR
    -
    0.530s
    +
    OPTIMAL (INACCURATE)
    +
    0.586s
    5.98196e+00
    		 @@ -1067,7 +1070,7 @@

    📖 Legend
    OPTIMAL (INACCURATE)
    -
    1.426s
    +
    1.387s
    5.96625e+00
    		 @@ -1552,7 +1555,7 @@

    📖 Legend
    OPTIMAL
    -
    0.592s
    +
    0.513s
    -5.07031e-02
    		 @@ -2188,7 +2191,7 @@

    📖 Legend

    2.529s
    7.17665e+05
    -     		+
    NUM_ERROR
    3.387s
    @@ -2324,7 +2327,7 @@

    📖 Legend

    		DIMACS sched_100_50_orig SOCP1.81890e+05 + 1.81890e+05
    MAX_ITER
    1.320s
    @@ -2466,7 +2469,7 @@

    📖 Legend

    		DIMACS sched_200_100_orig SOCP1.41360e+05 + 1.41360e+05
    MAX_ITER
    6.322s
    @@ -2520,229 +2523,6903 @@

    📖 Legend

    —
    —
    -     		+ +
    +
    UNSUPPORTED
    +
    —
    +
    —
    +
    +     		+
    +
    UNSUPPORTED
    +
    —
    +
    —
    +
    +
    DIMACSsched_200_100_scaledSOCP5.18120e+01 +
    +
    UNKNOWN
    +
    5.203s
    +
    5.18120e+01
    +
    +     		+
    +
    OPTIMAL
    +
    5.779s
    +
    5.18120e+01
    +
    +     		+
    +
    TIMEOUT
    +
    120.000s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    3.063s
    +
    5.18120e+01
    +
    +     		+
    +
    TIMEOUT
    +
    120.000s
    +
    —
    +
    +     		+
    +
    TIMEOUT
    +
    120.000s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    5.087s
    +
    9.38152e+01
    +
    +     		+
    +
    TIMEOUT
    +
    120.000s
    +
    —
    +
    +     		+
    +
    UNSUPPORTED
    +
    —
    +
    —
    +
    +     		+
    +
    UNSUPPORTED
    +
    —
    +
    —
    +
    +     		+
    +
    UNSUPPORTED
    +
    —
    +
    —
    +
    +
    DIMACSsched_50_50_origSOCP2.66730e+04 +
    +
    MAX_ITER
    +
    0.706s
    +
    2.66731e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.751s
    +
    2.66730e+04
    +
    +     		+
    +
    INFEASIBLE
    +
    37.086s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.150s
    +
    2.66730e+04
    +
    +     		+
    +
    ERROR
    +
    22.904s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    17.851s
    +
    3.58095e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.171s
    +
    2.66730e+04
    +
    +     		+
    +
    TIMEOUT
    +
    120.000s
    +
    —
    +
    +     		+
    +
    UNSUPPORTED
    +
    —
    +
    —
    +
    +     		+
    +
    UNSUPPORTED
    +
    —
    +
    —
    +
    +     		+
    +
    UNSUPPORTED
    +
    —
    +
    —
    +
    +
    DIMACSsched_50_50_scaledSOCP7.85204e+00 +
    +
    OPTIMAL
    +
    0.729s
    +
    7.85204e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.515s
    +
    7.85204e+00
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    84.662s
    +
    7.85204e+00
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.148s
    +
    7.85204e+00
    +
    +     		+
    +
    ERROR
    +
    27.336s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    18.689s
    +
    7.85207e+00
    +
    +     		+
    +
    ERROR
    +
    0.311s
    +
    —
    +
    +     		+
    +
    TIMEOUT
    +
    120.000s
    +
    —
    +
    +     		+
    +
    UNSUPPORTED
    +
    —
    +
    —
    +
    +     		+
    +
    UNSUPPORTED
    +
    —
    +
    —
    +
    +     		+
    +
    UNSUPPORTED
    +
    —
    +
    —
    +
    +
    NETLIBadlittleLP2.25495e+05 +
    +
    OPTIMAL
    +
    0.239s
    +
    2.25495e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.201s
    +
    2.25495e+05
    +
    +     		+
    +
    UNBOUNDED
    +
    0.008s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    2.25495e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.051s
    +
    2.25495e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.015s
    +
    2.25493e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    2.25495e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    2.10180e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    2.25495e+05
    +
    +     		+
    +
    ERROR
    +
    0.026s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    2.25495e+05
    +
    +
    NETLIBafiroLP-4.64753e+02 +
    +
    OPTIMAL
    +
    0.275s
    +
    -4.64753e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.260s
    +
    -4.64753e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -4.64753e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -4.64753e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.026s
    +
    -4.64753e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -4.64753e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -4.64753e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    -4.64753e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -4.64753e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -4.64753e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    -4.64753e+02
    +
    +
    NETLIBaggLP-3.59918e+07 +
    +
    OPTIMAL
    +
    0.478s
    +
    -3.59918e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.314s
    +
    -3.59918e+07
    +
    +     		+
    +
    ERROR
    +
    0.041s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.021s
    +
    -3.59918e+07
    +
    +     		+
    +
    INFEASIBLE
    +
    0.116s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.004s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.012s
    +
    -3.59918e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.017s
    +
    -3.59918e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -3.59918e+07
    +
    +     		+
    +
    ERROR
    +
    0.161s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.008s
    +
    -3.59918e+07
    +
    +
    NETLIBagg2LP-2.02393e+07 +
    +
    OPTIMAL
    +
    0.326s
    +
    -2.02393e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.294s
    +
    -2.02393e+07
    +
    +     		+
    +
    ERROR
    +
    0.048s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.025s
    +
    -2.02393e+07
    +
    +     		+
    +
    INFEASIBLE
    +
    0.389s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.336s
    +
    -2.01301e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.022s
    +
    -2.02393e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.027s
    +
    -2.02393e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    -2.02393e+07
    +
    +     		+
    +
    ERROR
    +
    0.398s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.011s
    +
    -2.02393e+07
    +
    +
    NETLIBagg3LP1.03121e+07 +
    +
    OPTIMAL
    +
    0.318s
    +
    1.03121e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.353s
    +
    1.03121e+07
    +
    +     		+
    +
    ERROR
    +
    0.048s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.024s
    +
    1.03121e+07
    +
    +     		+
    +
    UNBOUNDED
    +
    1.656s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    2.132s
    +
    1.03770e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.021s
    +
    1.03121e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.024s
    +
    1.03121e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    1.03121e+07
    +
    +     		+
    +
    ERROR
    +
    0.385s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.012s
    +
    1.03121e+07
    +
    +
    NETLIBbandmLP-1.58628e+02 +
    +
    OPTIMAL
    +
    0.459s
    +
    -1.58628e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.246s
    +
    -1.58628e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.041s
    +
    -1.58628e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    -1.58628e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.558s
    +
    -1.58628e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.990s
    +
    -1.58594e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    -1.58628e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.018s
    +
    -1.43863e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    -1.58628e+02
    +
    +     		+
    +
    ERROR
    +
    0.147s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.009s
    +
    -1.58628e+02
    +
    +
    NETLIBbeaconfdLP3.35925e+04 +
    +
    OPTIMAL
    +
    0.285s
    +
    3.35925e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.220s
    +
    3.35925e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.040s
    +
    3.35925e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    3.35925e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.136s
    +
    3.35925e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.030s
    +
    3.38224e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    3.35925e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.016s
    +
    3.24543e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    3.35925e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.071s
    +
    3.35925e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    3.35925e+04
    +
    +
    NETLIBblendLP-3.08121e+01 +
    +
    OPTIMAL
    +
    0.202s
    +
    1.07790e-10
    +
    +     		+
    +
    OPTIMAL
    +
    0.171s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.010s
    +
    1.49083e-08
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -1.01000e-10
    +
    +     		+
    +
    OPTIMAL
    +
    0.057s
    +
    -6.04291e-09
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -2.90940e-20
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -1.99630e-12
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -6.09703e-17
    +
    +     		+
    +
    OPTIMAL
    +
    0.001s
    +
    0.00000e+00
    +
    +
    NETLIBbnl1LP1.97763e+03 +
    +
    OPTIMAL
    +
    0.175s
    +
    2.55806e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.467s
    +
    1.97763e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.118s
    +
    1.97763e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.048s
    +
    1.97763e+03
    +
    +     		+
    +
    ERROR
    +
    0.058s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    2.456s
    +
    2.02489e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.042s
    +
    1.97763e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.091s
    +
    1.97763e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.023s
    +
    1.97763e+03
    +
    +     		+
    +
    ERROR
    +
    0.372s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.024s
    +
    1.97763e+03
    +
    +
    NETLIBbnl2LP1.81124e+03 +
    +
    OPTIMAL
    +
    2.709s
    +
    1.81124e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.729s
    +
    1.81124e+03
    +
    +     		+
    +
    INFEASIBLE
    +
    0.469s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.605s
    +
    1.81124e+03
    +
    +     		+
    +
    OPTIMAL
    +
    24.669s
    +
    1.81124e+03
    +
    +     		+
    +
    OPTIMAL
    +
    20.324s
    +
    1.83390e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.257s
    +
    1.81124e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.413s
    +
    1.81124e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.135s
    +
    1.81124e+03
    +
    +     		+
    +
    ERROR
    +
    1.832s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.095s
    +
    1.81124e+03
    +
    +
    NETLIBboeing1LP-3.35214e+02 +
    +
    STALLED
    +
    0.603s
    +
    -2.95476e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.474s
    +
    -3.58943e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.090s
    +
    -3.58940e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.017s
    +
    -3.58943e+02
    +
    +     		+
    +
    OPTIMAL
    +
    1.366s
    +
    -3.58943e+02
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    4.098s
    +
    -3.58122e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.015s
    +
    -3.58943e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.030s
    +
    -3.58943e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.024s
    +
    -3.58943e+02
    +
    +     		+
    +
    ERROR
    +
    0.272s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.013s
    +
    -3.58943e+02
    +
    +
    NETLIBboeing2LP-3.15019e+02 +
    +
    OPTIMAL
    +
    0.840s
    +
    -3.24844e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.595s
    +
    -3.24844e+02
    +
    +     		+
    +
    ERROR
    +
    0.021s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -3.24844e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.528s
    +
    -3.24844e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.145s
    +
    -3.23775e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -3.24844e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.014s
    +
    -3.24844e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -3.24844e+02
    +
    +     		+
    +
    ERROR
    +
    0.091s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    -3.24844e+02
    +
    +
    NETLIBbore3dLP1.37308e+03 +
    +
    STALLED
    +
    0.841s
    +
    7.30039e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.472s
    +
    7.30039e+02
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.036s
    +
    7.30085e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    7.30039e+02
    +
    +     		+
    +
    ERROR
    +
    0.017s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    1.300s
    +
    1.30174e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    7.30039e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.012s
    +
    -1.09487e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    7.30039e+02
    +
    +     		+
    +
    ERROR
    +
    0.086s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    7.30039e+02
    +
    +
    NETLIBbrandyLP1.51851e+03 +
    +
    MAX_ITER
    +
    3.621s
    +
    1.66263e-20
    +
    +     		+
    +
    OPTIMAL
    +
    0.448s
    +
    1.51851e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.041s
    +
    1.51851e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    1.51851e+03
    +
    +     		+
    +
    ERROR
    +
    0.029s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.978s
    +
    1.51852e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    1.51851e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.018s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    1.51851e+03
    +
    +     		+
    +
    ERROR
    +
    0.142s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    1.51851e+03
    +
    +
    NETLIBcapriLP2.69001e+03 +
    +
    OPTIMAL
    +
    1.754s
    +
    2.69001e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.541s
    +
    2.69001e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.091s
    +
    -1.66857e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.013s
    +
    -1.66857e+03
    +
    +     		+
    +
    OPTIMAL
    +
    1.133s
    +
    -1.66857e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.998s
    +
    -1.59557e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.011s
    +
    -1.66857e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.031s
    +
    -8.68274e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.014s
    +
    -1.66857e+03
    +
    +     		+
    +
    ERROR
    +
    0.199s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    2.69001e+03
    +
    +
    NETLIBcycleLP-5.22639e+00 +
    +
    MAX_ITER
    +
    36.523s
    +
    -1.33143e-20
    +
    +     		+
    +
    OPTIMAL
    +
    0.983s
    +
    -5.22639e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.446s
    +
    -5.22313e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.187s
    +
    -5.22639e+00
    +
    +     		+
    +
    ERROR
    +
    0.468s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    29.213s
    +
    -5.01346e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.833s
    +
    -5.22558e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.160s
    +
    -5.22639e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.076s
    +
    -5.22639e+00
    +
    +     		+
    +
    ERROR
    +
    2.643s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.145s
    +
    -5.22639e+00
    +
    +
    NETLIBczprobLP2.18520e+06 +
    +
    STALLED
    +
    0.525s
    +
    2.18544e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.445s
    +
    2.18520e+06
    +
    +     		+
    +
    INFEASIBLE
    +
    0.311s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.080s
    +
    2.18520e+06
    +
    +     		+
    +
    OPTIMAL
    +
    11.251s
    +
    2.18520e+06
    +
    +     		+
    +
    OPTIMAL
    +
    1.542s
    +
    2.18509e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.063s
    +
    2.18520e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.110s
    +
    2.18520e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.073s
    +
    2.18520e+06
    +
    +     		+
    +
    ERROR
    +
    0.616s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.049s
    +
    2.18520e+06
    +
    +
    NETLIBd2q06cLP1.22784e+05 +
    +
    OPTIMAL
    +
    3.329s
    +
    1.22784e+05
    +
    +     		+
    +
    OPTIMAL
    +
    1.423s
    +
    1.22784e+05
    +
    +     		+
    +
    UNBOUNDED
    +
    1.140s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.990s
    +
    1.22784e+05
    +
    +     		+
    +
    OPTIMAL
    +
    60.123s
    +
    1.22784e+05
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    56.793s
    +
    1.22879e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.461s
    +
    1.22784e+05
    +
    +     		+
    +
    OPTIMAL
    +
    3.941s
    +
    1.22087e+05
    +
    +     		+
    +
    OPTIMAL
    +
    1.371s
    +
    1.22784e+05
    +
    +     		+
    +
    ERROR
    +
    4.523s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    1.266s
    +
    1.22784e+05
    +
    +
    NETLIBd6cubeLP3.15492e+02 +
    +
    MAX_ITER
    +
    4.729s
    +
    7.06708e+00
    +
    +     		+
    +
    NUM_ERROR
    +
    0.223s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.475s
    +
    3.14494e+02
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    1.507s
    +
    3.14492e+02
    +
    +     		+
    +
    ERROR
    +
    0.334s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    10.917s
    +
    3.14490e+02
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.176s
    +
    3.14492e+02
    +
    +     		+
    +
    OPTIMAL
    +
    3.332s
    +
    3.14492e+02
    +
    +     		+
    +
    OPTIMAL
    +
    1.758s
    +
    3.14492e+02
    +
    +     		+
    +
    ERROR
    +
    2.405s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.208s
    +
    3.14492e+02
    +
    +
    NETLIBdegen2LP-1.43518e+03 +
    +
    STALLED
    +
    0.624s
    +
    -1.43517e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.284s
    +
    -1.43518e+03
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.089s
    +
    -1.43518e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.018s
    +
    -1.43518e+03
    +
    +     		+
    +
    ERROR
    +
    0.088s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.194s
    +
    -1.43518e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.015s
    +
    -1.43518e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.061s
    +
    -1.42455e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.037s
    +
    -1.43518e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.089s
    +
    -1.43518e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.018s
    +
    -1.43518e+03
    +
    +
    NETLIBdegen3LP-9.87294e+02 +
    +
    STALLED
    +
    0.934s
    +
    -9.87237e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.380s
    +
    -9.87294e+02
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.460s
    +
    -9.87289e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.222s
    +
    -9.87294e+02
    +
    +     		+
    +
    ERROR
    +
    0.660s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    2.117s
    +
    -9.87292e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.169s
    +
    -9.87294e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.600s
    +
    -9.83486e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.222s
    +
    -9.87294e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.983s
    +
    -9.87296e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.280s
    +
    -9.87294e+02
    +
    +
    NETLIBe226LP-1.87519e+01 +
    +
    STALLED
    +
    0.893s
    +
    -1.87535e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.266s
    +
    -1.87519e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.046s
    +
    -1.87519e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.010s
    +
    -1.87519e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.761s
    +
    -1.87519e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.818s
    +
    -1.87511e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.014s
    +
    -1.87519e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.019s
    +
    -1.87519e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.009s
    +
    -1.87519e+01
    +
    +     		+
    +
    ERROR
    +
    0.182s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    -1.87519e+01
    +
    +
    NETLIBetamacroLP-7.55715e+02 +
    +
    STALLED
    +
    0.402s
    +
    4.44663e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.337s
    +
    4.44663e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.103s
    +
    4.44663e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.027s
    +
    4.44663e+02
    +
    +     		+
    +
    OPTIMAL
    +
    2.256s
    +
    4.44663e+02
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    6.773s
    +
    4.45155e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.036s
    +
    4.44663e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.029s
    +
    5.01679e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.012s
    +
    4.44663e+02
    +
    +     		+
    +
    ERROR
    +
    0.464s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.015s
    +
    4.44663e+02
    +
    +
    NETLIBfffff800LP5.55680e+05 +
    +
    INFEASIBLE
    +
    0.375s
    +
    5.62424e+05
    +
    +     		+
    +
    INFEASIBLE
    +
    0.284s
    +
    1.45524e+04
    +
    +     		+
    +
    ERROR
    +
    0.065s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.053s
    +
    5.55680e+05
    +
    +     		+
    +
    OPTIMAL
    +
    2.965s
    +
    5.55680e+05
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    6.701s
    +
    6.02032e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.086s
    +
    5.55680e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.043s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.012s
    +
    5.55680e+05
    +
    +     		+
    +
    UNBOUNDED
    +
    0.015s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.011s
    +
    5.55680e+05
    +
    +
    NETLIBfinnisLP1.72791e+05 +
    +
    OPTIMAL
    +
    0.582s
    +
    7.27564e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.348s
    +
    7.27565e+04
    +
    +     		+
    +
    ERROR
    +
    0.059s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.018s
    +
    7.27564e+04
    +
    +     		+
    +
    OPTIMAL
    +
    1.988s
    +
    7.27564e+04
    +
    +     		+
    +
    OPTIMAL
    +
    1.689s
    +
    7.26927e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.014s
    +
    7.27565e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.026s
    +
    1.19489e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.015s
    +
    7.27564e+04
    +
    +     		+
    +
    ERROR
    +
    0.230s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.010s
    +
    7.27564e+04
    +
    +
    NETLIBfit1dLP-9.14638e+03 +
    +
    OPTIMAL
    +
    0.348s
    +
    -9.14638e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.504s
    +
    -9.14638e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.210s
    +
    -9.14638e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.041s
    +
    -9.14638e+03
    +
    +     		+
    +
    OPTIMAL
    +
    8.681s
    +
    -9.14638e+03
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    7.357s
    +
    -9.14633e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.033s
    +
    -9.14638e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.207s
    +
    -9.14638e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.034s
    +
    -9.14638e+03
    +
    +     		+
    +
    ERROR
    +
    0.454s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.024s
    +
    -9.14638e+03
    +
    +
    NETLIBfit1pLP9.14638e+03 +
    +
    OPTIMAL
    +
    0.660s
    +
    9.14638e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.468s
    +
    9.14638e+03
    +
    +     		+
    +
    OPTIMAL
    +
    1.087s
    +
    9.14638e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.029s
    +
    9.14638e+03
    +
    +     		+
    +
    OPTIMAL
    +
    7.052s
    +
    9.14638e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.706s
    +
    9.14639e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.020s
    +
    9.14638e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.063s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.022s
    +
    9.14638e+03
    +
    +     		+
    +
    ERROR
    +
    0.389s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.045s
    +
    9.14638e+03
    +
    +
    NETLIBfit2dLP-6.84643e+04 +
    +
    OPTIMAL
    +
    1.113s
    +
    -6.84643e+04
    +
    +     		+
    +
    OPTIMAL
    +
    2.054s
    +
    -6.84643e+04
    +
    +     		+
    +
    OPTIMAL
    +
    21.467s
    +
    -6.84643e+04
    +
    +     		+
    +
    OPTIMAL
    +
    1.706s
    +
    -6.84643e+04
    +
    +     		+
    +
    TIMEOUT
    +
    120.000s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    69.287s
    +
    -6.84630e+04
    +
    +     		+
    +
    OPTIMAL
    +
    2.188s
    +
    -6.84643e+04
    +
    +     		+
    +
    OPTIMAL
    +
    12.668s
    +
    -6.84643e+04
    +
    +     		+
    +
    OPTIMAL
    +
    4.440s
    +
    -6.84643e+04
    +
    +     		+
    +
    ERROR
    +
    6.646s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    2.576s
    +
    -6.84643e+04
    +
    +
    NETLIBfit2pLP6.84643e+04 +
    +
    OPTIMAL
    +
    1.646s
    +
    6.84643e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.844s
    +
    6.84643e+04
    +
    +     		+
    +
    OPTIMAL
    +
    113.681s
    +
    6.84643e+04
    +
    +     		+
    +
    OPTIMAL
    +
    1.916s
    +
    6.84643e+04
    +
    +     		+
    +
    TIMEOUT
    +
    120.000s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    5.113s
    +
    6.84641e+04
    +
    +     		+
    +
    OPTIMAL
    +
    1.783s
    +
    6.84643e+04
    +
    +     		+
    +
    OPTIMAL
    +
    3.924s
    +
    4.92752e+04
    +
    +     		+
    +
    OPTIMAL
    +
    2.463s
    +
    6.84643e+04
    +
    +     		+
    +
    ERROR
    +
    5.701s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    2.664s
    +
    6.84643e+04
    +
    +
    NETLIBforplanLP-6.64219e+02 +
    +
    ERROR
    +
    —
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.182s
    +
    0.00000e+00
    +
    +     		+
    +
    ERROR
    +
    0.014s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.002s
    +
    —
    +
    +     		+
    +
    ERROR
    +
    0.003s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.004s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.003s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.005s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.003s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.004s
    +
    —
    +
    +     		+
    +
    INFEASIBLE
    +
    0.001s
    +
    —
    +
    +
    NETLIBgangesLP-1.09586e+05 +
    +
    OPTIMAL
    +
    0.359s
    +
    -1.09586e+05
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.892s
    +
    -1.09586e+05
    +
    +     		+
    +
    ERROR
    +
    0.138s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.060s
    +
    -1.09586e+05
    +
    +     		+
    +
    OPTIMAL
    +
    8.224s
    +
    -1.09586e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.560s
    +
    -1.09586e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.056s
    +
    -1.09586e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.076s
    +
    -1.09586e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.033s
    +
    -1.09586e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.207s
    +
    -1.09581e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.035s
    +
    -1.09586e+05
    +
    +
    NETLIBgreenbeaLP-7.24624e+07 +
    +
    MAX_ITER
    +
    25.323s
    +
    -2.25807e-17
    +
    +     		+
    +
    UNBOUNDED
    +
    1.120s
    +
    -1.00000e+00
    +
    +     		+
    +
    ERROR
    +
    0.568s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    1.007s
    +
    -7.24628e+07
    +
    +     		+
    +
    ERROR
    +
    1.007s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    41.378s
    +
    -6.52597e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.557s
    +
    -7.24627e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.540s
    +
    9.92272e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.779s
    +
    -7.25555e+07
    +
    +     		+
    +
    ERROR
    +
    3.644s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.280s
    +
    -7.25555e+07
    +
    +
    NETLIBgreenbebLP-4.30215e+06 +
    +
    MAX_ITER
    +
    24.490s
    +
    -2.50159e-17
    +
    +     		+
    +
    OPTIMAL
    +
    2.616s
    +
    -4.30243e+06
    +
    +     		+
    +
    ERROR
    +
    0.628s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    1.238s
    +
    -4.28767e+06
    +
    +     		+
    +
    ERROR
    +
    1.137s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    40.305s
    +
    -4.28566e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.738s
    +
    -4.28767e+06
    +
    +     		+
    +
    OPTIMAL
    +
    1.207s
    +
    -4.12673e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.626s
    +
    -4.28766e+06
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    4.257s
    +
    -4.29354e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.436s
    +
    -4.31605e+06
    +
    +
    NETLIBgrow15LP-1.06871e+08 +
    +
    OPTIMAL
    +
    0.289s
    +
    -1.06871e+08
    +
    +     		+
    +
    OPTIMAL
    +
    0.271s
    +
    -1.06871e+08
    +
    +     		+
    +
    INFEASIBLE
    +
    0.269s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.019s
    +
    -1.06871e+08
    +
    +     		+
    +
    INFEASIBLE
    +
    0.076s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.009s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.016s
    +
    -1.06871e+08
    +
    +     		+
    +
    OPTIMAL
    +
    0.130s
    +
    -1.06871e+08
    +
    +     		+
    +
    OPTIMAL
    +
    0.015s
    +
    -1.06871e+08
    +
    +     		+
    +
    ERROR
    +
    0.441s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.037s
    +
    -1.06871e+08
    +
    +
    NETLIBgrow22LP-1.60834e+08 +
    +
    OPTIMAL
    +
    0.326s
    +
    -1.60834e+08
    +
    +     		+
    +
    OPTIMAL
    +
    0.254s
    +
    -1.60834e+08
    +
    +     		+
    +
    ERROR
    +
    0.248s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.035s
    +
    -1.60834e+08
    +
    +     		+
    +
    INFEASIBLE
    +
    0.231s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.014s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.029s
    +
    -1.60834e+08
    +
    +     		+
    +
    OPTIMAL
    +
    0.264s
    +
    -1.60834e+08
    +
    +     		+
    +
    OPTIMAL
    +
    0.025s
    +
    -1.60834e+08
    +
    +     		+
    +
    OPTIMAL
    +
    0.393s
    +
    -1.60833e+08
    +
    +     		+
    +
    OPTIMAL
    +
    0.086s
    +
    -1.60834e+08
    +
    +
    NETLIBgrow7LP-4.77878e+07 +
    +
    OPTIMAL
    +
    0.376s
    +
    -4.77878e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.239s
    +
    -4.77878e+07
    +
    +     		+
    +
    ERROR
    +
    0.107s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.011s
    +
    -4.77878e+07
    +
    +     		+
    +
    INFEASIBLE
    +
    0.034s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.004s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    -4.77878e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.029s
    +
    -4.77878e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.008s
    +
    -4.77878e+07
    +
    +     		+
    +
    ERROR
    +
    0.216s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.010s
    +
    -4.77878e+07
    +
    +
    NETLIBisraelLP-8.96645e+05 +
    +
    OPTIMAL
    +
    0.349s
    +
    -8.96645e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.348s
    +
    -8.96645e+05
    +
    +     		+
    +
    ERROR
    +
    0.028s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    -8.96645e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.293s
    +
    -8.96645e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.171s
    +
    -8.96673e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    -8.96645e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.017s
    +
    -8.96645e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -8.96645e+05
    +
    +     		+
    +
    ERROR
    +
    0.109s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    -8.96645e+05
    +
    +
    NETLIBkb2LP-1.74990e+03 +
    +
    OPTIMAL
    +
    0.257s
    +
    -1.74990e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.247s
    +
    -1.74990e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    -1.74990e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -1.74990e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.046s
    +
    -1.74990e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.029s
    +
    -1.74990e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -1.74990e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -1.74990e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -1.74990e+03
    +
    +     		+
    +
    ERROR
    +
    0.020s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -1.74990e+03
    +
    +
    NETLIBlotfiLP-2.52647e+01 +
    +
    OPTIMAL
    +
    0.427s
    +
    -2.52647e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.293s
    +
    -2.52647e+01
    +
    +     		+
    +
    INFEASIBLE
    +
    0.032s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    -2.52647e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.179s
    +
    -2.52647e+01
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    1.196s
    +
    -2.52406e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -2.52647e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.010s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    -2.52647e+01
    +
    +     		+
    +
    ERROR
    +
    0.065s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    -2.52647e+01
    +
    +
    NETLIBmarosLP-5.80637e+04 +
    +
    STALLED
    +
    0.803s
    +
    -7.13943e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.417s
    +
    -7.13943e+04
    +
    +     		+
    +
    INFEASIBLE
    +
    0.209s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.076s
    +
    -7.13943e+04
    +
    +     		+
    +
    OPTIMAL
    +
    4.049s
    +
    -7.13943e+04
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    12.816s
    +
    -6.89174e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.077s
    +
    -7.13943e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.082s
    +
    -6.08822e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.037s
    +
    -7.13943e+04
    +
    +     		+
    +
    ERROR
    +
    1.115s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.059s
    +
    -7.13943e+04
    +
    +
    NETLIBmaros_r7LP1.49719e+06 +
    +
    OPTIMAL
    +
    2.310s
    +
    1.49719e+06
    +
    +     		+
    +
    OPTIMAL
    +
    1.563s
    +
    1.49719e+06
    +
    +     		+
    +
    OPTIMAL
    +
    2.997s
    +
    1.49719e+06
    +
    +     		+
    +
    OPTIMAL
    +
    1.357s
    +
    1.49719e+06
    +
    +     		+
    +
    OPTIMAL
    +
    35.265s
    +
    1.49719e+06
    +
    +     		+
    +
    OPTIMAL
    +
    42.625s
    +
    1.49719e+06
    +
    +     		+
    +
    OPTIMAL
    +
    3.041s
    +
    1.49719e+06
    +
    +     		+
    +
    OPTIMAL
    +
    1.482s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.627s
    +
    1.49719e+06
    +
    +     		+
    +
    ERROR
    +
    24.421s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.802s
    +
    1.49719e+06
    +
    +
    NETLIBmodszk1LP3.20620e+02 +
    +
    MAX_ITER
    +
    5.689s
    +
    2.30178e-17
    +
    +     		+
    +
    OPTIMAL
    +
    0.348s
    +
    3.40115e+02
    +
    +     		+
    +
    ERROR
    +
    0.100s
    +
    —
    +
    +     		+
    +
    INFEASIBLE
    +
    0.012s
    +
    —
    +
    +     		+
    +
    INFEASIBLE
    +
    0.012s
    +
    —
    +
    +     		+
    +
    INFEASIBLE
    +
    0.052s
    +
    —
    +
    +     		+
    +
    INFEASIBLE
    +
    0.016s
    +
    —
    +
    +     		+
    +
    INFEASIBLE
    +
    0.029s
    +
    —
    +
    +     		+
    +
    INFEASIBLE
    +
    0.009s
    +
    —
    +
    +     		+
    +
    INFEASIBLE
    +
    0.010s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.024s
    +
    —
    +
    +
    NETLIBnesmLP1.40761e+07 +
    +
    STALLED
    +
    0.548s
    +
    1.40760e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.956s
    +
    1.40760e+07
    +
    +     		+
    +
    INFEASIBLE
    +
    0.442s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.148s
    +
    1.40760e+07
    +
    +     		+
    +
    UNBOUNDED
    +
    1.323s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.794s
    +
    1.40771e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.165s
    +
    1.40760e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.283s
    +
    1.40760e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.155s
    +
    1.40760e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.484s
    +
    1.40762e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.218s
    +
    1.40760e+07
    +
    +
    NETLIBnetlib_25fv47LP5.50185e+03 +
    +
    MAX_ITER
    +
    9.544s
    +
    4.76270e-18
    +
    +     		+
    +
    OPTIMAL
    +
    0.383s
    +
    5.50185e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.168s
    +
    5.50185e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.077s
    +
    5.50185e+03
    +
    +     		+
    +
    ERROR
    +
    0.079s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    7.323s
    +
    5.50188e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.073s
    +
    5.50185e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.360s
    +
    2.13372e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.109s
    +
    5.50185e+03
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.945s
    +
    5.50239e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.123s
    +
    5.50185e+03
    +
    +
    NETLIBnetlib_80bau3bLP9.87232e+05 +
    +
    OPTIMAL
    +
    3.731s
    +
    5.10826e+05
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    3.968s
    +
    5.10861e+05
    +
    +     		+
    +
    ERROR
    +
    2.138s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.804s
    +
    5.10826e+05
    +
    +     		+
    +
    UNBOUNDED
    +
    6.556s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    38.087s
    +
    6.02050e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.925s
    +
    5.10826e+05
    +
    +     		+
    +
    ERROR
    +
    1.806s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    1.083s
    +
    5.10826e+05
    +
    +     		+
    +
    ERROR
    +
    3.145s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.910s
    +
    5.10826e+05
    +
    +
    NETLIBnetlib_trussLP4.58816e+05 +
    +
    OPTIMAL
    +
    0.395s
    +
    4.58816e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.295s
    +
    4.58816e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.441s
    +
    4.58816e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.163s
    +
    4.58816e+05
    +
    +     		+
    +
    OPTIMAL
    +
    6.864s
    +
    4.58816e+05
    +
    +     		+
    +
    OPTIMAL
    +
    6.682s
    +
    4.58816e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.116s
    +
    4.58816e+05
    +
    +     		+
    +
    OPTIMAL
    +
    1.403s
    +
    4.50093e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.405s
    +
    4.58816e+05
    +
    +     		+
    +
    ERROR
    +
    1.839s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    2.348s
    +
    4.58816e+05
    +
    +
    NETLIBperoldLP-9.38076e+03 +
    +
    MAX_ITER
    +
    1.687s
    +
    -5.21846e+03
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.595s
    +
    -8.75384e+03
    +
    +     		+
    +
    ERROR
    +
    0.100s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.150s
    +
    -9.26993e+03
    +
    +     		+
    +
    ERROR
    +
    0.106s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    8.397s
    +
    -5.36619e+03
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.220s
    +
    -9.26620e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.290s
    +
    -9.26994e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.072s
    +
    -9.26994e+03
    +
    +     		+
    +
    ERROR
    +
    0.882s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.047s
    +
    -9.26994e+03
    +
    +
    NETLIBpilotLP-5.57404e+02 +
    +
    MAX_ITER
    +
    1.883s
    +
    -1.43840e+02
    +
    +     		+
    +
    OPTIMAL
    +
    3.291s
    +
    -1.43979e+02
    +
    +     		+
    +
    OPTIMAL
    +
    1.138s
    +
    -1.43971e+02
    +
    +     		+
    +
    OPTIMAL
    +
    2.305s
    +
    -1.43978e+02
    +
    +     		+
    +
    OPTIMAL
    +
    48.576s
    +
    -1.43979e+02
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    55.141s
    +
    -1.31180e+02
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    1.912s
    +
    -1.43966e+02
    +
    +     		+
    +
    OPTIMAL
    +
    4.035s
    +
    -1.43978e+02
    +
    +     		+
    +
    OPTIMAL
    +
    1.137s
    +
    -1.43979e+02
    +
    +     		+
    +
    ERROR
    +
    4.571s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    1.046s
    +
    -1.43979e+02
    +
    +
    NETLIBpilot4LP-2.58114e+03 +
    +
    MAX_ITER
    +
    1.298s
    +
    -8.00199e+00
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.709s
    +
    -2.58115e+03
    +
    +     		+
    +
    ERROR
    +
    0.069s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.036s
    +
    -3.71216e+03
    +
    +     		+
    +
    ERROR
    +
    0.103s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    6.081s
    +
    -7.02079e+02
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.084s
    +
    -3.71178e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.057s
    +
    -3.71217e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.024s
    +
    -3.71217e+03
    +
    +     		+
    +
    ERROR
    +
    0.362s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.021s
    +
    -3.71217e+03
    +
    +
    NETLIBpilot87LP3.01711e+02 +
    +
    OPTIMAL
    +
    7.066s
    +
    3.01712e+02
    +
    +     		+
    +
    OPTIMAL
    +
    3.743s
    +
    3.01712e+02
    +
    +     		+
    +
    INFEASIBLE
    +
    3.555s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    5.070s
    +
    3.01722e+02
    +
    +     		+
    +
    TIMEOUT
    +
    120.000s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    107.734s
    +
    3.11712e+02
    +
    +     		+
    +
    ERROR
    +
    6.691s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    8.072s
    +
    3.01712e+02
    +
    +     		+
    +
    OPTIMAL
    +
    3.404s
    +
    3.01712e+02
    +
    +     		+
    +
    ERROR
    +
    9.957s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    3.070s
    +
    3.01712e+02
    +
    +
    NETLIBpilot_jaLP-6.11313e+03 +
    +
    STALLED
    +
    0.193s
    +
    -7.18299e+06
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    1.729s
    +
    -6.11432e+03
    +
    +     		+
    +
    ERROR
    +
    0.176s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.579s
    +
    -6.11724e+03
    +
    +     		+
    +
    ERROR
    +
    0.119s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    12.520s
    +
    -3.16871e+03
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.427s
    +
    -6.10428e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.778s
    +
    -6.11793e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.117s
    +
    -6.11793e+03
    +
    +     		+
    +
    ERROR
    +
    1.389s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.095s
    +
    -6.11793e+03
    +
    +
    NETLIBpilot_weLP-2.72010e+06 +
    +
    STALLED
    +
    0.194s
    +
    -3.24088e+13
    +
    +     		+
    +
    OPTIMAL
    +
    1.055s
    +
    -2.72004e+06
    +
    +     		+
    +
    ERROR
    +
    0.136s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.100s
    +
    -3.14616e+06
    +
    +     		+
    +
    ERROR
    +
    0.108s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    10.165s
    +
    -1.54492e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.116s
    +
    -3.14610e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.338s
    +
    -3.14626e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.094s
    +
    -3.14616e+06
    +
    +     		+
    +
    ERROR
    +
    0.725s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.116s
    +
    -3.14616e+06
    +
    +
    NETLIBpilotnovLP-4.49728e+03 +
    +
    MAX_ITER
    +
    1.007s
    +
    -4.49728e+03
    +
    +     		+
    +
    OPTIMAL
    +
    1.741s
    +
    -4.48922e+03
    +
    +     		+
    +
    ERROR
    +
    0.156s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.311s
    +
    -4.49728e+03
    +
    +     		+
    +
    ERROR
    +
    17.404s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    16.795s
    +
    -1.93500e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.110s
    +
    -4.49728e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.477s
    +
    -4.49728e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.100s
    +
    -4.49728e+03
    +
    +     		+
    +
    ERROR
    +
    1.350s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.106s
    +
    -4.49728e+03
    +
    +
    NETLIBrecipeLP-2.66616e+02 +
    +
    OPTIMAL
    +
    0.330s
    +
    -2.66292e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.193s
    +
    -2.66292e+02
    +
    +     		+
    +
    INFEASIBLE
    +
    0.020s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -2.66292e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.167s
    +
    -2.66292e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.011s
    +
    -2.66292e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -2.66292e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.008s
    +
    -2.66292e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -2.66292e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    -2.66293e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -2.66292e+02
    +
    +
    NETLIBsc105LP-5.22021e+01 +
    +
    OPTIMAL
    +
    0.216s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.200s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.013s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.111s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -5.22021e+01
    +
    +     		+
    +
    ERROR
    +
    0.032s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -5.22021e+01
    +
    +
    NETLIBsc205LP-5.22021e+01 +
    +
    OPTIMAL
    +
    0.469s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.268s
    +
    -5.23822e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.021s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.333s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.023s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.009s
    +
    -5.22021e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -5.22021e+01
    +
    +     		+
    +
    ERROR
    +
    0.059s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -5.22021e+01
    +
    +
    NETLIBsc50aLP-6.45751e+01 +
    +
    OPTIMAL
    +
    0.230s
    +
    -6.45751e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.196s
    +
    -6.45751e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    -6.45751e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -6.45751e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.024s
    +
    -6.45751e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -6.45751e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -6.45751e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -6.45751e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -6.45751e+01
    +
    +     		+
    +
    ERROR
    +
    0.016s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.001s
    +
    -6.45751e+01
    +
    +
    NETLIBsc50bLP-7.00000e+01 +
    +
    OPTIMAL
    +
    0.228s
    +
    -7.00000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.174s
    +
    -7.00000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    -7.00000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -7.00000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.025s
    +
    -7.00000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -7.00003e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -7.00000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -7.00000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -7.00000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.010s
    +
    -7.00000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.001s
    +
    -7.00000e+01
    +
    +
    NETLIBscagr25LP-1.47534e+07 +
    +
    OPTIMAL
    +
    0.506s
    +
    -1.47534e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.241s
    +
    -1.47534e+07
    +
    +     		+
    +
    ERROR
    +
    0.056s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    -1.47534e+07
    +
    +     		+
    +
    INFEASIBLE
    +
    0.048s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.885s
    +
    -1.47526e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    -1.47534e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.017s
    +
    -1.81279e+07
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    -1.47534e+07
    +
    +     		+
    +
    ERROR
    +
    0.119s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    -1.47534e+07
    +
    +
    NETLIBscagr7LP-2.33139e+06 +
    +
    OPTIMAL
    +
    0.270s
    +
    -2.33139e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.217s
    +
    -2.33139e+06
    +
    +     		+
    +
    INFEASIBLE
    +
    0.016s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -2.33139e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.162s
    +
    -2.33139e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.209s
    +
    -2.33139e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -2.33139e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    -2.27673e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -2.33139e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.031s
    +
    -2.33125e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -2.33139e+06
    +
    +
    NETLIBscfxm1LP1.84168e+04 +
    +
    OPTIMAL
    +
    0.759s
    +
    1.84168e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.282s
    +
    1.84168e+04
    +
    +     		+
    +
    INFEASIBLE
    +
    0.041s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.008s
    +
    1.84168e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.894s
    +
    1.84168e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.704s
    +
    1.84175e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    1.84168e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.021s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.008s
    +
    1.84168e+04
    +
    +     		+
    +
    ERROR
    +
    0.157s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.008s
    +
    1.84168e+04
    +
    +
    NETLIBscfxm2LP3.66603e+04 +
    +
    OPTIMAL
    +
    0.564s
    +
    3.66603e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.299s
    +
    3.66603e+04
    +
    +     		+
    +
    INFEASIBLE
    +
    0.083s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.018s
    +
    3.66603e+04
    +
    +     		+
    +
    OPTIMAL
    +
    1.886s
    +
    3.66603e+04
    +
    +     		+
    +
    OPTIMAL
    +
    1.312s
    +
    3.66603e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.014s
    +
    3.66603e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.043s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.017s
    +
    3.66603e+04
    +
    +     		+
    +
    ERROR
    +
    0.332s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.019s
    +
    3.66603e+04
    +
    +
    NETLIBscfxm3LP5.49013e+04 +
    +
    OPTIMAL
    +
    0.674s
    +
    5.49013e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.333s
    +
    5.49013e+04
    +
    +     		+
    +
    INFEASIBLE
    +
    0.123s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.029s
    +
    5.49013e+04
    +
    +     		+
    +
    OPTIMAL
    +
    3.014s
    +
    5.49013e+04
    +
    +     		+
    +
    OPTIMAL
    +
    2.666s
    +
    5.49024e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.023s
    +
    5.49013e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.068s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.032s
    +
    5.49013e+04
    +
    +     		+
    +
    ERROR
    +
    0.527s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.033s
    +
    5.49013e+04
    +
    +
    NETLIBscorpionLP1.87812e+03 +
    +
    OPTIMAL
    +
    0.297s
    +
    1.87812e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.242s
    +
    1.87812e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.033s
    +
    1.87812e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    1.87812e+03
    +
    +     		+
    +
    ERROR
    +
    0.035s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.077s
    +
    1.87813e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    1.87812e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.015s
    +
    1.84489e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    1.87812e+03
    +
    +     		+
    +
    ERROR
    +
    0.096s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    1.87812e+03
    +
    +
    NETLIBscrs8LP9.04300e+02 +
    +
    OPTIMAL
    +
    0.782s
    +
    9.04297e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.312s
    +
    9.04297e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.070s
    +
    9.04297e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.015s
    +
    9.04297e+02
    +
    +     		+
    +
    OPTIMAL
    +
    2.017s
    +
    9.04297e+02
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    3.804s
    +
    9.04493e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.013s
    +
    9.04297e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.031s
    +
    8.99567e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.010s
    +
    9.04297e+02
    +
    +     		+
    +
    ERROR
    +
    0.230s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.011s
    +
    9.04297e+02
    +
    +
    NETLIBscsd1LP8.66667e+00 +
    +
    OPTIMAL
    +
    0.226s
    +
    8.66667e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.199s
    +
    8.66667e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.030s
    +
    8.66667e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    8.66667e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.095s
    +
    8.66667e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.008s
    +
    8.66669e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    8.66667e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.015s
    +
    8.50000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    8.66667e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    8.66665e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    8.66667e+00
    +
    +
    NETLIBscsd6LP5.05000e+01 +
    +
    OPTIMAL
    +
    0.241s
    +
    5.05000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.189s
    +
    5.05000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.057s
    +
    5.05000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    5.05000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.216s
    +
    5.05000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.041s
    +
    5.05000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    5.05000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.031s
    +
    4.65313e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.010s
    +
    5.05000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.033s
    +
    5.05000e+01
    +
    +     		+
    +
    OPTIMAL
    +
    0.009s
    +
    5.05000e+01
    +
    +
    NETLIBscsd8LP9.05000e+02 +
    +
    OPTIMAL
    +
    0.297s
    +
    9.05000e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.194s
    +
    9.05000e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.119s
    +
    9.05000e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.015s
    +
    9.05000e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.838s
    +
    9.05000e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.099s
    +
    9.05000e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.013s
    +
    9.05000e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.072s
    +
    8.60000e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.035s
    +
    9.05000e+02
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.426s
    +
    9.05000e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.038s
    +
    9.05000e+02
    +
    +
    NETLIBsctap1LP1.41225e+03 +
    +
    OPTIMAL
    +
    0.467s
    +
    1.41225e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.215s
    +
    1.41225e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.050s
    +
    1.41225e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    1.41225e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.582s
    +
    1.41225e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.029s
    +
    1.41225e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    1.41225e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.016s
    +
    1.41225e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    1.41225e+03
    +
    +     		+
    +
    ERROR
    +
    0.122s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    1.41225e+03
    +
    +
    NETLIBsctap2LP1.72481e+03 +
    +
    OPTIMAL
    +
    0.324s
    +
    1.72481e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.194s
    +
    1.72481e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.164s
    +
    1.72481e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.022s
    +
    1.72481e+03
    +
    +     		+
    +
    OPTIMAL
    +
    2.555s
    +
    1.72481e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.066s
    +
    1.72481e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.020s
    +
    1.72481e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.055s
    +
    1.72481e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.023s
    +
    1.72481e+03
    +
    +     		+
    +
    ERROR
    +
    0.575s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.032s
    +
    1.72481e+03
    +
    +
    NETLIBsctap3LP1.42400e+03 +
    +
    STALLED
    +
    0.322s
    +
    1.42400e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.202s
    +
    1.42400e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.204s
    +
    1.42400e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.040s
    +
    1.42400e+03
    +
    +     		+
    +
    OPTIMAL
    +
    4.446s
    +
    1.42400e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.069s
    +
    1.42400e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.036s
    +
    1.42400e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.102s
    +
    1.42400e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.035s
    +
    1.42400e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.129s
    +
    1.42400e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.047s
    +
    1.42400e+03
    +
    +
    NETLIBsebaLP1.57116e+04 +
    +
    OPTIMAL
    +
    0.569s
    +
    1.52005e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.405s
    +
    1.52005e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.277s
    +
    1.52005e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.023s
    +
    1.52005e+04
    +
    +     		+
    +
    OPTIMAL
    +
    3.359s
    +
    1.52005e+04
    +
    +     		+
    +
    OPTIMAL
    +
    1.376s
    +
    1.52181e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.015s
    +
    1.52005e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.036s
    +
    1.52005e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.010s
    +
    1.52005e+04
    +
    +     		+
    +
    ERROR
    +
    0.249s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.014s
    +
    1.52005e+04
    +
    +
    NETLIBshare1bLP-7.65893e+04 +
    +
    OPTIMAL
    +
    0.289s
    +
    -7.65893e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.373s
    +
    -7.65893e+04
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.036s
    +
    -7.65893e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -7.65893e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.266s
    +
    -7.65893e+04
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.710s
    +
    -7.65883e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -7.65893e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.009s
    +
    -8.03236e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.005s
    +
    -7.65893e+04
    +
    +     		+
    +
    ERROR
    +
    0.057s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -7.65893e+04
    +
    +
    NETLIBshare2bLP-4.15732e+02 +
    +
    OPTIMAL
    +
    0.258s
    +
    -4.15732e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.183s
    +
    -4.15732e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.012s
    +
    -4.15732e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -4.15732e+02
    +
    +     		+
    +
    ERROR
    +
    0.935s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.290s
    +
    -4.15733e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -4.15732e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    -4.15732e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    -4.15732e+02
    +
    +     		+
    +
    ERROR
    +
    0.043s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -4.15732e+02
    +
    +
    NETLIBshellLP1.20883e+09 +
    +
    OPTIMAL
    +
    0.406s
    +
    1.20883e+09
    +
    +     		+
    +
    OPTIMAL
    +
    0.329s
    +
    1.20883e+09
    +
    +     		+
    +
    ERROR
    +
    0.102s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.020s
    +
    1.20883e+09
    +
    +     		+
    +
    ERROR
    +
    0.140s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.282s
    +
    1.20886e+09
    +
    +     		+
    +
    OPTIMAL
    +
    0.018s
    +
    1.20883e+09
    +
    +     		+
    +
    OPTIMAL
    +
    0.039s
    +
    1.20883e+09
    +
    +     		+
    +
    OPTIMAL
    +
    0.017s
    +
    1.20883e+09
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.346s
    +
    1.20888e+09
    +
    +     		+
    +
    OPTIMAL
    +
    0.020s
    +
    1.20883e+09
    +
    +
    NETLIBship04lLP1.79332e+06 +
    +
    MAX_ITER
    +
    3.302s
    +
    7.79770e-06
    +
    +     		+
    +
    OPTIMAL
    +
    0.221s
    +
    1.79332e+06
    +
    +     		+
    +
    UNBOUNDED
    +
    0.081s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.016s
    +
    1.79332e+06
    +
    +     		+
    +
    ERROR
    +
    0.045s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.147s
    +
    1.79332e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.013s
    +
    1.79332e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.044s
    +
    1.79324e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.012s
    +
    1.79332e+06
    +
    +     		+
    +
    ERROR
    +
    0.273s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.013s
    +
    1.79332e+06
    +
    +
    NETLIBship04sLP1.79871e+06 +
    +
    MAX_ITER
    +
    3.754s
    +
    3.84820e-05
    +
    +     		+
    +
    OPTIMAL
    +
    0.230s
    +
    1.79871e+06
    +
    +     		+
    +
    UNBOUNDED
    +
    0.065s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.012s
    +
    1.79871e+06
    +
    +     		+
    +
    ERROR
    +
    0.076s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.083s
    +
    1.79871e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.011s
    +
    1.79871e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.029s
    +
    1.79700e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.014s
    +
    1.79871e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.051s
    +
    1.79872e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.009s
    +
    1.79871e+06
    +
    +
    NETLIBship08lLP1.90906e+06 +
    +
    OPTIMAL
    +
    0.159s
    +
    1.34541e+09
    +
    +     		+
    +
    OPTIMAL
    +
    0.237s
    +
    1.90906e+06
    +
    +     		+
    +
    UNBOUNDED
    +
    0.168s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.042s
    +
    1.90906e+06
    +
    +     		+
    +
    ERROR
    +
    0.204s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.338s
    +
    1.90906e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.037s
    +
    1.90906e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.104s
    +
    1.90890e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.030s
    +
    1.90906e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.151s
    +
    1.90906e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.035s
    +
    1.90906e+06
    +
    +
    NETLIBship08sLP1.92010e+06 +
    +
    OPTIMAL
    +
    0.161s
    +
    5.55253e+08
    +
    +     		+
    +
    OPTIMAL
    +
    0.240s
    +
    1.92010e+06
    +
    +     		+
    +
    UNBOUNDED
    +
    0.103s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.020s
    +
    1.92010e+06
    +
    +     		+
    +
    ERROR
    +
    0.074s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    6.116s
    +
    1.91663e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.017s
    +
    1.92010e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.054s
    +
    1.91721e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.016s
    +
    1.92010e+06
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.330s
    +
    1.92016e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.022s
    +
    1.92010e+06
    +
    +
    NETLIBship12lLP1.47019e+06 +
    +
    OPTIMAL
    +
    0.186s
    +
    3.98344e+08
    +
    +     		+
    +
    OPTIMAL
    +
    0.319s
    +
    1.47019e+06
    +
    +     		+
    +
    UNBOUNDED
    +
    0.221s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.071s
    +
    1.47019e+06
    +
    +     		+
    +
    ERROR
    +
    0.297s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    5.405s
    +
    1.47019e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.057s
    +
    1.47019e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.141s
    +
    1.46919e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.043s
    +
    1.47019e+06
    +
    +     		+
    +
    ERROR
    +
    0.664s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.058s
    +
    1.47019e+06
    +
    +
    NETLIBship12sLP1.48924e+06 +
    +
    OPTIMAL
    +
    0.167s
    +
    1.37662e+08
    +
    +     		+
    +
    OPTIMAL
    +
    0.232s
    +
    1.48924e+06
    +
    +     		+
    +
    UNBOUNDED
    +
    0.139s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.031s
    +
    1.48924e+06
    +
    +     		+
    +
    ERROR
    +
    0.171s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    7.456s
    +
    1.48938e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.026s
    +
    1.48924e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.066s
    +
    1.48221e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.026s
    +
    1.48924e+06
    +
    +     		+
    +
    ERROR
    +
    0.426s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.030s
    +
    1.48924e+06
    +
    +
    NETLIBstairLP-2.51267e+02 +
    +
    OPTIMAL
    +
    0.859s
    +
    -2.51267e+02
    +
    +     		+
    +
    OPTIMAL
    +
    0.306s
    +
    -2.51267e+02
    +
    +     		+
    +
    INFEASIBLE
    +
    0.054s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.012s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.420s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.024s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.009s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.029s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.022s
    +
    —
    +
    +     		+
    +
    UNBOUNDED
    +
    0.021s
    +
    —
    +
    +     		+
    +
    INFEASIBLE
    +
    0.003s
    +
    —
    +
    +
    NETLIBstandataLP1.25770e+03 +
    +
    OPTIMAL
    +
    0.688s
    +
    1.25770e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.246s
    +
    1.25770e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.071s
    +
    1.25770e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.009s
    +
    1.25770e+03
    +
    +     		+
    +
    OPTIMAL
    +
    1.313s
    +
    1.25770e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.036s
    +
    1.25770e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.008s
    +
    1.25770e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.029s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    1.25770e+03
    +
    +     		+
    +
    ERROR
    +
    0.208s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.009s
    +
    1.25770e+03
    +
    +
    NETLIBstandgubLP— +
    +
    STALLED
    +
    0.553s
    +
    5.14093e+06
    +
    +     		+
    +
    OPTIMAL
    +
    0.250s
    +
    1.25770e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.081s
    +
    1.25770e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.010s
    +
    1.25770e+03
    +
    +     		+
    +
    ERROR
    +
    0.060s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.037s
    +
    1.25770e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.008s
    +
    1.25770e+03
    +
    +     		+
    +
    ERROR
    +
    0.026s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.008s
    +
    1.25770e+03
    +
    +     		+
    +
    ERROR
    +
    0.225s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.009s
    +
    1.25770e+03
    +
    +
    NETLIBstandmpsLP1.40602e+03 +
    +
    MAX_ITER
    +
    0.434s
    +
    1.40602e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.274s
    +
    1.40602e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.092s
    +
    1.40602e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.012s
    +
    1.40602e+03
    +
    +     		+
    +
    OPTIMAL
    +
    1.891s
    +
    1.40602e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.043s
    +
    1.40598e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.012s
    +
    1.40602e+03
    +
    +     		+
    +
    OPTIMAL
    +
    0.030s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.012s
    +
    1.40602e+03
    +
    +     		+
    +
    ERROR
    +
    0.241s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.011s
    +
    1.40602e+03
    +
    +
    NETLIBstocfor1LP-4.11320e+04 +
    +
    OPTIMAL
    +
    0.250s
    +
    -4.11320e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.238s
    +
    -4.11320e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.013s
    +
    -4.11320e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -4.11320e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.187s
    +
    -4.11320e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.039s
    +
    -4.11320e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -4.11320e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    -2.82732e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    -4.11320e+04
    +
    +     		+
    +
    ERROR
    +
    0.038s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.002s
    +
    -4.11320e+04
    +
    +
    NETLIBstocfor2LP-3.90244e+04 +
    +
    OPTIMAL
    +
    0.417s
    +
    -3.90244e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.428s
    +
    -3.90244e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.236s
    +
    -3.90244e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.055s
    +
    -3.90244e+04
    +
    +     		+
    +
    ERROR
    +
    13.871s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    3.015s
    +
    -3.90244e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.056s
    +
    -3.90244e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.116s
    +
    -2.80852e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.042s
    +
    -3.90244e+04
    +
    +     		+
    +
    ERROR
    +
    0.833s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.063s
    +
    -3.90244e+04
    +
    +
    NETLIBtuffLP2.92148e-01 +
    +
    MAX_ITER
    +
    3.440s
    +
    3.36071e-24
    +
    +     		+
    +
    OPTIMAL
    +
    0.235s
    +
    2.92148e-01
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.088s
    +
    3.10972e-01
    +
    +     		+
    +
    OPTIMAL
    +
    0.022s
    +
    3.10973e-01
    +
    +     		+
    +
    ERROR
    +
    0.024s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    4.252s
    +
    4.50590e-01
    +
    +     		+
    +
    OPTIMAL
    +
    0.017s
    +
    3.10972e-01
    +
    +     		+
    +
    OPTIMAL
    +
    0.026s
    +
    3.10972e-01
    +
    +     		+
    +
    OPTIMAL
    +
    0.012s
    +
    3.10972e-01
    +
    +     		+
    +
    ERROR
    +
    0.299s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.008s
    +
    3.10972e-01
    +
    +
    NETLIBvtp_baseLP1.29831e+05 +
    +
    OPTIMAL
    +
    0.918s
    +
    1.29831e+05
    +
    +     		+
    +
    OPTIMAL
    +
    0.338s
    +
    1.29831e+05
    +
    +     		+
    +
    UNBOUNDED
    +
    0.035s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.006s
    +
    -7.56297e+04
    +
    +     		+
    +
    OPTIMAL
    +
    1.244s
    +
    -7.56298e+04
    +
    +     		+
    +
    OPTIMAL
    +
    1.414s
    +
    -7.58774e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.007s
    +
    -7.56298e+04
    +
    +     		+
    +
    OPTIMAL
    +
    0.013s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.004s
    +
    -7.56298e+04
    +
    +     		+
    +
    ERROR
    +
    0.075s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.003s
    +
    1.29831e+05
    +
    +
    NETLIBwood1pLP1.44290e+00 +
    +
    MAX_ITER
    +
    1.032s
    +
    1.44496e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.338s
    +
    1.44290e+00
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.478s
    +
    1.49704e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.118s
    +
    1.44290e+00
    +
    +     		+
    +
    ERROR
    +
    0.138s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.372s
    +
    1.44290e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.101s
    +
    1.44290e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.233s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.061s
    +
    1.44290e+00
    +
    +     		+
    +
    ERROR
    +
    1.587s
    +
    —
    +
    +     		+
    +
    OPTIMAL
    +
    0.058s
    +
    1.44290e+00
    +
    +
    NETLIBwoodwLP1.30448e+00 +
    +
    MAX_ITER
    +
    0.545s
    +
    1.30525e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.492s
    +
    1.30448e+00
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    0.520s
    +
    1.30448e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.148s
    +
    1.30448e+00
    +
    +     		+
    +
    ERROR
    +
    37.152s
    +
    —
    +
    +     		+
    +
    OPTIMAL (INACCURATE)
    +
    23.676s
    +
    1.30653e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.134s
    +
    1.30448e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.307s
    +
    0.00000e+00
    +
    +     		+
    +
    OPTIMAL
    +
    0.150s
    +
    1.30448e+00
    +
    +
    -
    UNSUPPORTED
    -
    —
    +
    ERROR
    +
    1.810s
    —
    -     		+
    -
    UNSUPPORTED
    -
    —
    -
    —
    +
    OPTIMAL
    +
    0.113s
    +
    1.30448e+00
    DIMACSsched_200_100_scaledSOCP5.18120e+01 + NETLIBdfl001UNKNOWN1.12664e+07
    -
    UNKNOWN
    -
    5.203s
    -
    5.18120e+01
    +
    SUBPROCESS_ERROR
    +
    4.435s
    +
    —
    -     		+
    -
    OPTIMAL
    -
    5.779s
    -
    5.18120e+01
    +
    SUBPROCESS_ERROR
    +
    4.469s
    +
    —
    -     		+
    -
    TIMEOUT
    -
    120.000s
    +
    SUBPROCESS_ERROR
    +
    0.897s
    —
    -     		+
    -
    OPTIMAL (INACCURATE)
    -
    3.063s
    -
    5.18120e+01
    +
    SUBPROCESS_ERROR
    +
    0.788s
    +
    —
    -     		+
    -
    TIMEOUT
    -
    120.000s
    +
    SUBPROCESS_ERROR
    +
    0.944s
    —
    -     		+
    -
    TIMEOUT
    -
    120.000s
    +
    SUBPROCESS_ERROR
    +
    0.638s
    —
    -     		+
    -
    OPTIMAL (INACCURATE)
    -
    5.087s
    -
    9.38152e+01
    +
    SUBPROCESS_ERROR
    +
    0.712s
    +
    —
    -     		+
    -
    TIMEOUT
    -
    120.000s
    +
    SUBPROCESS_ERROR
    +
    0.673s
    —
    -     		+
    -
    UNSUPPORTED
    -
    —
    +
    SUBPROCESS_ERROR
    +
    0.678s
    —
    -     		+
    -
    UNSUPPORTED
    -
    —
    +
    SUBPROCESS_ERROR
    +
    0.948s
    —
    -     		+
    -
    UNSUPPORTED
    -
    —
    +
    SUBPROCESS_ERROR
    +
    0.679s
    —
    DIMACSsched_50_50_origSOCP2.66730e+04 + NETLIBgfrd_pncUNKNOWN6.90224e+06
    -
    MAX_ITER
    -
    0.706s
    -
    2.66731e+04
    +
    SUBPROCESS_ERROR
    +
    4.492s
    +
    —
    -     		+
    -
    OPTIMAL
    -
    0.751s
    -
    2.66730e+04
    +
    SUBPROCESS_ERROR
    +
    3.472s
    +
    —
    -     		+
    -
    INFEASIBLE
    -
    37.086s
    +
    SUBPROCESS_ERROR
    +
    0.659s
    —
    -     		+
    -
    OPTIMAL (INACCURATE)
    -
    0.150s
    -
    2.66730e+04
    +
    SUBPROCESS_ERROR
    +
    0.580s
    +
    —
    -     		+
    -
    ERROR
    -
    22.904s
    +
    SUBPROCESS_ERROR
    +
    0.568s
    —
    -     		+
    -
    OPTIMAL (INACCURATE)
    -
    17.851s
    -
    3.58095e+04
    +
    SUBPROCESS_ERROR
    +
    0.652s
    +
    —
    -     		+
    -
    OPTIMAL
    -
    0.171s
    -
    2.66730e+04
    +
    SUBPROCESS_ERROR
    +
    0.586s
    +
    —
    -     		+
    -
    TIMEOUT
    -
    120.000s
    +
    SUBPROCESS_ERROR
    +
    0.571s
    —
    -     		+
    -
    UNSUPPORTED
    -
    —
    +
    SUBPROCESS_ERROR
    +
    0.586s
    —
    -     		+
    -
    UNSUPPORTED
    -
    —
    +
    SUBPROCESS_ERROR
    +
    0.525s
    —
    -     		+
    -
    UNSUPPORTED
    -
    —
    +
    SUBPROCESS_ERROR
    +
    0.579s
    —
    DIMACSsched_50_50_scaledSOCP7.85204e+00 + NETLIBsierraUNKNOWN1.53944e+07
    -
    OPTIMAL
    -
    0.729s
    -
    7.85204e+00
    +
    SUBPROCESS_ERROR
    +
    4.646s
    +
    —
    -     		+
    -
    OPTIMAL
    -
    0.515s
    -
    7.85204e+00
    +
    SUBPROCESS_ERROR
    +
    4.828s
    +
    —
    -     		+
    -
    OPTIMAL (INACCURATE)
    -
    84.662s
    -
    7.85204e+00
    +
    SUBPROCESS_ERROR
    +
    0.537s
    +
    —
    -     		+
    -
    OPTIMAL (INACCURATE)
    -
    0.148s
    -
    7.85204e+00
    +
    SUBPROCESS_ERROR
    +
    0.541s
    +
    —
    -     		+
    -
    ERROR
    -
    27.336s
    +
    SUBPROCESS_ERROR
    +
    0.584s
    —
    -     		+
    -
    OPTIMAL (INACCURATE)
    -
    18.689s
    -
    7.85207e+00
    +
    SUBPROCESS_ERROR
    +
    0.577s
    +
    —
    -     		+
    -
    ERROR
    -
    0.311s
    +
    SUBPROCESS_ERROR
    +
    0.519s
    —
    -     		+
    -
    TIMEOUT
    -
    120.000s
    +
    SUBPROCESS_ERROR
    +
    0.544s
    —
    -     		+
    -
    UNSUPPORTED
    -
    —
    +
    SUBPROCESS_ERROR
    +
    0.574s
    —
    -     		+
    -
    UNSUPPORTED
    -
    —
    +
    SUBPROCESS_ERROR
    +
    0.537s
    —
    -     		+
    -
    UNSUPPORTED
    -
    —
    +
    SUBPROCESS_ERROR
    +
    0.516s
    —
    +
    NUM_ERROR
    17.535s
    @@ -3182,7 +9859,7 @@

    📖 Legend

    11.559s
    -3.19586e+01
    -     		+
    NUM_ERROR
    30.733s
    @@ -3247,7 +9924,7 @@

    📖 Legend

    		SDPLIB control2 SDP-8.30000e+00 + -8.30000e+00
    MAX_ITER
    0.410s
    @@ -3318,13 +9995,13 @@

    📖 Legend

    		SDPLIB control3 SDP-1.36333e+01 + -1.36333e+01
    MAX_ITER
    0.567s
    -1.36333e+01
    -     		+
    NUM_ERROR
    0.506s
    @@ -3395,7 +10072,7 @@

    📖 Legend

    0.980s
    -1.97942e+01
    -     		+
    NUM_ERROR
    0.620s
    @@ -3466,7 +10143,7 @@

    📖 Legend

    2.211s
    -1.68836e+01
    -     		+
    NUM_ERROR
    1.190s
    @@ -3537,7 +10214,7 @@

    📖 Legend

    1.489s
    -3.73044e+01
    -     		+
    NUM_ERROR
    2.299s
    @@ -3608,7 +10285,7 @@

    📖 Legend

    2.175s
    -2.06251e+01
    -     		+
    NUM_ERROR
    3.704s
    @@ -3679,7 +10356,7 @@

    📖 Legend

    3.232s
    -2.02863e+01
    -     		+
    NUM_ERROR
    6.067s
    @@ -3750,7 +10427,7 @@

    📖 Legend

    5.165s
    -1.46754e+01
    -     		+
    NUM_ERROR
    10.213s
    @@ -3821,7 +10498,7 @@

    📖 Legend

    5.390s
    -6.29155e+02
    -     		+
    NUM_ERROR
    40.736s
    @@ -3892,7 +10569,7 @@

    📖 Legend

    8.548s
    -4.00560e+03
    -     		+
    NUM_ERROR
    84.326s
    @@ -3963,7 +10640,7 @@

    📖 Legend

    0.444s
    4.49435e+01
    -     		+
    NUM_ERROR
    0.772s
    @@ -4034,7 +10711,7 @@

    📖 Legend

    0.580s
    7.34308e+00
    -     		+
    NUM_ERROR
    1.011s
    @@ -4105,7 +10782,7 @@

    📖 Legend

    0.553s
    4.68623e+01
    -     		+
    NUM_ERROR
    1.067s
    @@ -4176,7 +10853,7 @@

    📖 Legend

    0.523s
    1.53014e+02
    -     		+
    NUM_ERROR
    1.342s
    @@ -4247,7 +10924,7 @@

    📖 Legend

    0.719s
    4.18988e+02
    -     		+
    NUM_ERROR
    1.299s
    @@ -4318,7 +10995,7 @@

    📖 Legend

    1.305s
    1.54449e+01
    -     		+
    NUM_ERROR
    3.578s
    @@ -4389,7 +11066,7 @@

    📖 Legend

    1.070s
    8.18690e+01
    -     		+
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    3.795s
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    diff --git a/problems/NETLIB b/problems/NETLIB new file mode 160000 index 0000000..56257ee --- /dev/null +++ b/problems/NETLIB @@ -0,0 +1 @@ +Subproject commit 56257eea85b433ce6aa67d26156b36385318fd6f diff --git a/scripts/data_loaders/matlab/mps_loader.m b/scripts/data_loaders/matlab/mps_loader.m new file mode 100644 index 0000000..f64f6e7 --- /dev/null +++ b/scripts/data_loaders/matlab/mps_loader.m @@ -0,0 +1,369 @@ +function [A, b, c, K] = mps_loader(file_path) + % Load NETLIB format .mps file and convert to SeDuMi format + % + % This function loads MPS (Mathematical Programming System) files and + % converts them to standard SeDuMi format for use with MATLAB optimization + % solvers. It mirrors the conversion performed by the Python loader + % (scripts/data_loaders/python/mps_loader.py): inequality constraints are + % converted to equality constraints via slack variables, and variable + % bounds are handled through the cone structure. + % + % Unlike the Python loader, variables are reordered so that free variables + % (K.f) come strictly before nonnegative variables (K.l), as required by + % SeDuMi's cone convention. + % + % Input: + % file_path: Path to .mps file + % + % Output: + % A: Constraint matrix (sparse, m x n) + % b: Right-hand side vector (m x 1) + % c: Objective vector (n x 1) + % K: Cone structure (struct with fields K.f, K.l, K.q, K.s) + % + % Example: + % [A, b, c, K] = mps_loader('problems/NETLIB/mps_files/afiro.mps'); + + try + if nargin < 1 + error('mps_loader:InvalidInput', 'File path is required'); + end + + if ~ischar(file_path) && ~isstring(file_path) + error('mps_loader:InvalidInput', 'File path must be a string or char array'); + end + + file_path = char(file_path); + + if ~exist(file_path, 'file') + error('mps_loader:FileNotFound', 'File not found: %s', file_path); + end + + fprintf('mps_loader: Parsing MPS file...\n'); + + parsed = parse_mps_file(file_path); + [A, b, c, K] = convert_to_sedumi(parsed); + + fprintf('mps_loader: Successfully loaded MPS problem\n'); + fprintf(' Variables (n): %d\n', size(A, 2)); + fprintf(' Constraints (m): %d\n', size(A, 1)); + fprintf(' Cone structure: K.f=%d, K.l=%d\n', K.f, K.l); + + catch ME + fprintf('mps_loader: Error loading file %s\n', file_path); + fprintf('Error: %s\n', ME.message); + error('mps_loader:LoadFailed', 'Failed to load .mps file: %s\nOriginal error: %s', ... + file_path, ME.message); + end + +end + +function parsed = parse_mps_file(file_path) + % Parse MPS format file into row/column/rhs/bounds structures. + + fid = fopen(file_path, 'r'); + if fid == -1 + error('mps_loader:FileOpenError', 'Cannot open file: %s', file_path); + end + + row_order = {}; + row_type = containers.Map('KeyType', 'char', 'ValueType', 'char'); + row_index = containers.Map('KeyType', 'char', 'ValueType', 'double'); + obj_row_name = ''; + + col_order = {}; + col_index = containers.Map('KeyType', 'char', 'ValueType', 'double'); + tri_i = []; + tri_j = []; + tri_v = []; + + rhs_map = containers.Map('KeyType', 'char', 'ValueType', 'double'); + bound_lo = containers.Map('KeyType', 'char', 'ValueType', 'double'); + bound_up = containers.Map('KeyType', 'char', 'ValueType', 'double'); + + current_section = ''; + + try + while ~feof(fid) + line = fgetl(fid); + if ~ischar(line) + continue; + end + raw_line = line; + trimmed = strtrim(line); + if isempty(trimmed) || trimmed(1) == '*' + continue; + end + + upper_line = upper(trimmed); + if startsWith(upper_line, 'NAME') + current_section = 'NAME'; + continue; + elseif strcmp(upper_line, 'ROWS') + current_section = 'ROWS'; + continue; + elseif strcmp(upper_line, 'COLUMNS') + current_section = 'COLUMNS'; + continue; + elseif strcmp(upper_line, 'RHS') + current_section = 'RHS'; + continue; + elseif strcmp(upper_line, 'BOUNDS') + current_section = 'BOUNDS'; + continue; + elseif strcmp(upper_line, 'RANGES') + current_section = 'RANGES'; + continue; + elseif strcmp(upper_line, 'ENDATA') + break; + end + + switch current_section + case 'ROWS' + parts = strsplit(raw_line); + parts = parts(~cellfun(@isempty, parts)); + if numel(parts) >= 2 + r_type = upper(parts{1}); + r_name = parts{2}; + row_order{end + 1} = r_name; %#ok + row_type(r_name) = r_type; + row_index(r_name) = numel(row_order); + if strcmp(r_type, 'N') && isempty(obj_row_name) + obj_row_name = r_name; + end + end + + case 'COLUMNS' + parts = strsplit(raw_line); + parts = parts(~cellfun(@isempty, parts)); + if numel(parts) < 3 + continue; + end + c_name = parts{1}; + if ~isKey(col_index, c_name) + col_order{end + 1} = c_name; %#ok + col_index(c_name) = numel(col_order); + end + j = col_index(c_name); + k = 2; + while k <= numel(parts) - 1 + r_name = parts{k}; + val = str2double(parts{k + 1}); + if isnan(val) || ~isKey(row_index, r_name) + break; + end + tri_i(end + 1) = row_index(r_name); %#ok + tri_j(end + 1) = j; %#ok + tri_v(end + 1) = val; %#ok + k = k + 2; + end + + case 'RHS' + parts = strsplit(raw_line); + parts = parts(~cellfun(@isempty, parts)); + if numel(parts) < 3 + continue; + end + k = 2; + while k <= numel(parts) - 1 + r_name = parts{k}; + val = str2double(parts{k + 1}); + if isnan(val) + break; + end + rhs_map(r_name) = val; + k = k + 2; + end + + case 'BOUNDS' + parts = strsplit(raw_line); + parts = parts(~cellfun(@isempty, parts)); + if numel(parts) < 3 + continue; + end + b_type = upper(parts{1}); + c_name = parts{3}; + if ~isKey(bound_lo, c_name) + bound_lo(c_name) = 0.0; + bound_up(c_name) = Inf; + end + switch b_type + case 'LO' + bound_lo(c_name) = str2double(parts{4}); + case 'UP' + bound_up(c_name) = str2double(parts{4}); + case 'FX' + v = str2double(parts{4}); + bound_lo(c_name) = v; + bound_up(c_name) = v; + case 'FR' + bound_lo(c_name) = -Inf; + bound_up(c_name) = Inf; + case 'MI' + bound_lo(c_name) = -Inf; + case 'PL' + bound_up(c_name) = Inf; + case 'BV' + bound_lo(c_name) = 0.0; + bound_up(c_name) = 1.0; + end + + case 'RANGES' + % RANGES constraints are not applied (parity with the + % Python loader, which parses but never uses them). + continue; + end + end + + fclose(fid); + catch ME + if fid ~= -1 + fclose(fid); + end + rethrow(ME); + end + + parsed = struct(); + parsed.row_order = {row_order{:}}; %#ok + parsed.row_type = row_type; + parsed.row_index = row_index; + parsed.obj_row_name = obj_row_name; + parsed.col_order = {col_order{:}}; %#ok + parsed.col_index = col_index; + parsed.tri_i = tri_i; + parsed.tri_j = tri_j; + parsed.tri_v = tri_v; + parsed.rhs_map = rhs_map; + parsed.bound_lo = bound_lo; + parsed.bound_up = bound_up; + +end + +function [A, b, c, K] = convert_to_sedumi(parsed) + % Convert parsed MPS data to SeDuMi standard form: + % min c'x + % s.t. A x = b, x in K + % + % Inequality constraints are converted to equalities with slack + % variables; variable bounds are handled through the cone structure. + % Variables are ordered [free vars][nonnegative vars] as required by + % SeDuMi (nonnegative vars include original bounded vars and all slacks). + + n_orig_cols = numel(parsed.col_order); + n_rows = numel(parsed.row_order); + + Coef = sparse(parsed.tri_i, parsed.tri_j, parsed.tri_v, n_rows, n_orig_cols); + + if ~isempty(parsed.obj_row_name) + c_orig = full(Coef(parsed.row_index(parsed.obj_row_name), :))'; + else + c_orig = zeros(n_orig_cols, 1); + end + + eq_rows = {}; + le_rows = {}; + ge_rows = {}; + for i = 1:numel(parsed.row_order) + r_name = parsed.row_order{i}; + r_type = parsed.row_type(r_name); + if strcmp(r_type, 'E') + eq_rows{end + 1} = r_name; %#ok + elseif strcmp(r_type, 'L') + le_rows{end + 1} = r_name; %#ok + elseif strcmp(r_type, 'G') + ge_rows{end + 1} = r_name; %#ok + end + end + + lo = zeros(n_orig_cols, 1); + up = Inf(n_orig_cols, 1); + for j = 1:n_orig_cols + c_name = parsed.col_order{j}; + if isKey(parsed.bound_lo, c_name) + lo(j) = parsed.bound_lo(c_name); + end + if isKey(parsed.bound_up, c_name) + up(j) = parsed.bound_up(c_name); + end + end + + n_eq = numel(eq_rows); + n_le = numel(le_rows); + n_ge = numel(ge_rows); + ub_var_indices = find(up < Inf)'; + n_ub = numel(ub_var_indices); + + n_slack = n_le + n_ge + n_ub; + n_total_vars = n_orig_cols + n_slack; + + row_idx_of = @(name) parsed.row_index(name); + eq_idx = cellfun(row_idx_of, eq_rows); + le_idx = cellfun(row_idx_of, le_rows); + ge_idx = cellfun(row_idx_of, ge_rows); + + A_eq_orig = Coef(eq_idx, :); + A_le_orig = Coef(le_idx, :); + A_ge_orig = Coef(ge_idx, :); + + A_eq_full = [A_eq_orig, sparse(n_eq, n_slack)]; + A_le_full = [A_le_orig, speye(n_le), sparse(n_le, n_ge), sparse(n_le, n_ub)]; + A_ge_full = [A_ge_orig, sparse(n_ge, n_le), -speye(n_ge), sparse(n_ge, n_ub)]; + + if n_ub > 0 + A_ub_orig = sparse(1:n_ub, ub_var_indices, 1, n_ub, n_orig_cols); + A_ub_full = [A_ub_orig, sparse(n_ub, n_le), sparse(n_ub, n_ge), speye(n_ub)]; + b_ub = up(ub_var_indices)'; + else + A_ub_full = sparse(0, n_total_vars); + b_ub = zeros(0, 1); + end + + A_full = [A_eq_full; A_le_full; A_ge_full; A_ub_full]; + + b_eq = zeros(n_eq, 1); + for i = 1:n_eq + if isKey(parsed.rhs_map, eq_rows{i}) + b_eq(i) = parsed.rhs_map(eq_rows{i}); + end + end + b_le = zeros(n_le, 1); + for i = 1:n_le + if isKey(parsed.rhs_map, le_rows{i}) + b_le(i) = parsed.rhs_map(le_rows{i}); + end + end + b_ge = zeros(n_ge, 1); + for i = 1:n_ge + if isKey(parsed.rhs_map, ge_rows{i}) + b_ge(i) = parsed.rhs_map(ge_rows{i}); + end + end + + b_full = [b_eq; b_le; b_ge; b_ub(:)]; + c_full = [c_orig; zeros(n_slack, 1)]; + + % Shift bounded variables with a nonzero finite lower bound so that + % x_new = x - lo >= 0 (free variables and default lo=0 need no shift). + for j = 1:n_orig_cols + if lo(j) ~= 0 && lo(j) > -Inf + b_full = b_full - A_full(:, j) * lo(j); + end + end + + % Reorder columns: free variables first, then nonnegative (original + % bounded vars + all slacks), matching SeDuMi's K.f/K.l convention. + free_mask = false(1, n_total_vars); + free_mask(1:n_orig_cols) = (lo == -Inf)'; + perm = [find(free_mask), find(~free_mask)]; + + A = A_full(:, perm); + c = c_full(perm); + b = b_full; + + K = struct(); + K.f = sum(free_mask); + K.l = n_total_vars - K.f; + K.q = []; + K.s = []; + +end diff --git a/scripts/data_loaders/python/mps_loader.py b/scripts/data_loaders/python/mps_loader.py new file mode 100644 index 0000000..aac5214 --- /dev/null +++ b/scripts/data_loaders/python/mps_loader.py @@ -0,0 +1,468 @@ +""" +MPS File Loader for Linear Programming problems. + +This module provides functionality to load and parse optimization problems +stored in MPS (Mathematical Programming System) format, a standard format +for linear programming problems commonly used by Netlib and other LP libraries. + +MPS Format Structure: +- NAME: Problem name +- ROWS: Row (constraint) definitions with types: + - N: Objective function (free row) + - E: Equality constraint (=) + - L: Less-than-or-equal constraint (<=) + - G: Greater-than-or-equal constraint (>=) +- COLUMNS: Variable coefficients in constraints +- RHS: Right-hand side values +- BOUNDS: Variable bounds (optional) +- RANGES: Range constraints (optional) +- ENDATA: End of data + +The problem format is: min c'x subject to Ax {<=,=,>=} b, l <= x <= u +""" + +import sys +from pathlib import Path +from typing import Any, Dict + +import numpy as np +from scipy.sparse import lil_matrix + +# Add project root to path for imports +project_root = Path(__file__).parent.parent.parent.parent +sys.path.insert(0, str(project_root)) + +from scripts.data_loaders.problem_loader import ProblemData +from scripts.utils.logger import get_logger + +logger = get_logger("mps_loader") + + +class MPSLoader: + """Loader for optimization problems in MPS format.""" + + def __init__(self): + """Initialize the MPS loader.""" + pass + + def load(self, file_path: str, problem_name: str = None) -> ProblemData: + """ + Load problem from .mps file. + + Args: + file_path: Path to the .mps file + problem_name: Optional problem name (if not provided, extracted from file) + + Returns: + ProblemData object + """ + if not Path(file_path).exists(): + raise FileNotFoundError(f"File not found: {file_path}") + + logger.info(f"Loading MPS file: {file_path}") + + # Parse MPS file + mps_data = self._parse_mps_file(file_path) + + # Use provided name, MPS NAME field, or filename as fallback + if problem_name is None: + problem_name = mps_data.get("name", Path(file_path).stem) + + # Convert to ProblemData + problem_data = self._convert_to_problem_data(mps_data, problem_name) + + logger.info(f"Successfully loaded MPS problem: {problem_data}") + return problem_data + + def _parse_mps_file(self, file_path: str) -> Dict[str, Any]: + """ + Parse MPS format file. + + Args: + file_path: Path to MPS file + + Returns: + Dictionary containing parsed MPS data + """ + mps_data = { + "name": "", + "rows": {}, # row_name -> type (N, E, L, G) + "row_order": [], # ordered list of row names + "columns": {}, # col_name -> {row_name: coef} + "col_order": [], # ordered list of column names + "rhs": {}, # row_name -> value + "bounds": {}, # col_name -> {'lo': val, 'up': val, 'type': type} + "ranges": {}, # row_name -> value + "obj_name": None, # name of objective row + } + + with open(file_path, "r") as f: + lines = f.readlines() + + current_section = None + + for line in lines: + # Skip empty lines and comments + line = line.rstrip("\n\r") + if not line or line.startswith("*"): + continue + + # Check for section headers + upper_line = line.upper().strip() + if upper_line.startswith("NAME"): + mps_data["name"] = line.split()[1] if len(line.split()) > 1 else "" + current_section = "NAME" + continue + elif upper_line == "ROWS": + current_section = "ROWS" + continue + elif upper_line == "COLUMNS": + current_section = "COLUMNS" + continue + elif upper_line == "RHS": + current_section = "RHS" + continue + elif upper_line == "BOUNDS": + current_section = "BOUNDS" + continue + elif upper_line == "RANGES": + current_section = "RANGES" + continue + elif upper_line == "ENDATA": + break + + # Parse section content + if current_section == "ROWS": + self._parse_rows_line(line, mps_data) + elif current_section == "COLUMNS": + self._parse_columns_line(line, mps_data) + elif current_section == "RHS": + self._parse_rhs_line(line, mps_data) + elif current_section == "BOUNDS": + self._parse_bounds_line(line, mps_data) + elif current_section == "RANGES": + self._parse_ranges_line(line, mps_data) + + return mps_data + + def _parse_rows_line(self, line: str, mps_data: Dict[str, Any]): + """Parse a line from ROWS section.""" + parts = line.split() + if len(parts) >= 2: + row_type = parts[0].upper() + row_name = parts[1] + mps_data["rows"][row_name] = row_type + mps_data["row_order"].append(row_name) + if row_type == "N" and mps_data["obj_name"] is None: + mps_data["obj_name"] = row_name + + def _parse_columns_line(self, line: str, mps_data: Dict[str, Any]): + """Parse a line from COLUMNS section.""" + parts = line.split() + if len(parts) < 3: + return + + col_name = parts[0] + + # Initialize column if not seen before + if col_name not in mps_data["columns"]: + mps_data["columns"][col_name] = {} + mps_data["col_order"].append(col_name) + + # Parse pairs of (row_name, coefficient) + i = 1 + while i < len(parts) - 1: + row_name = parts[i] + try: + coef = float(parts[i + 1]) + mps_data["columns"][col_name][row_name] = coef + i += 2 + except (ValueError, IndexError): + break + + def _parse_rhs_line(self, line: str, mps_data: Dict[str, Any]): + """Parse a line from RHS section.""" + parts = line.split() + if len(parts) < 3: + return + + # First field is RHS name (usually ignored), then pairs of (row, value) + i = 1 + while i < len(parts) - 1: + row_name = parts[i] + try: + value = float(parts[i + 1]) + mps_data["rhs"][row_name] = value + i += 2 + except (ValueError, IndexError): + break + + def _parse_bounds_line(self, line: str, mps_data: Dict[str, Any]): + """Parse a line from BOUNDS section.""" + parts = line.split() + if len(parts) < 3: + return + + bound_type = parts[0].upper() + # parts[1] is bound name (usually ignored) + col_name = parts[2] + + if col_name not in mps_data["bounds"]: + mps_data["bounds"][col_name] = {"lo": 0.0, "up": np.inf, "type": "default"} + + if bound_type == "LO": # Lower bound + mps_data["bounds"][col_name]["lo"] = float(parts[3]) + elif bound_type == "UP": # Upper bound + mps_data["bounds"][col_name]["up"] = float(parts[3]) + elif bound_type == "FX": # Fixed value + val = float(parts[3]) + mps_data["bounds"][col_name]["lo"] = val + mps_data["bounds"][col_name]["up"] = val + mps_data["bounds"][col_name]["type"] = "fixed" + elif bound_type == "FR": # Free variable + mps_data["bounds"][col_name]["lo"] = -np.inf + mps_data["bounds"][col_name]["up"] = np.inf + mps_data["bounds"][col_name]["type"] = "free" + elif bound_type == "MI": # Minus infinity (lower bound) + mps_data["bounds"][col_name]["lo"] = -np.inf + elif bound_type == "PL": # Plus infinity (upper bound) + mps_data["bounds"][col_name]["up"] = np.inf + elif bound_type == "BV": # Binary variable + mps_data["bounds"][col_name]["lo"] = 0.0 + mps_data["bounds"][col_name]["up"] = 1.0 + mps_data["bounds"][col_name]["type"] = "binary" + + def _parse_ranges_line(self, line: str, mps_data: Dict[str, Any]): + """Parse a line from RANGES section.""" + parts = line.split() + if len(parts) < 3: + return + + # First field is range name (usually ignored), then pairs of (row, value) + i = 1 + while i < len(parts) - 1: + row_name = parts[i] + try: + value = float(parts[i + 1]) + mps_data["ranges"][row_name] = value + i += 2 + except (ValueError, IndexError): + break + + def _convert_to_problem_data(self, mps_data: Dict[str, Any], problem_name: str) -> ProblemData: + """ + Convert parsed MPS data to unified SeDuMi-style ProblemData format. + + This converts LP problems to SeDuMi standard form: + min c'x + s.t. A_eq @ x = b_eq + x in K (cone constraints) + + All inequality constraints are converted to equality constraints with + slack variables, and variable bounds are handled through the cone structure. + + Args: + mps_data: Parsed MPS data + problem_name: Name for the problem + + Returns: + ProblemData object in SeDuMi format + """ + n_orig_cols = len(mps_data["col_order"]) + + # Build column index mapping + col_idx = {name: i for i, name in enumerate(mps_data["col_order"])} + + # Separate rows by type + obj_rows = [] + eq_rows = [] + le_rows = [] + ge_rows = [] + + for row_name in mps_data["row_order"]: + row_type = mps_data["rows"][row_name] + if row_type == "N": + obj_rows.append(row_name) + elif row_type == "E": + eq_rows.append(row_name) + elif row_type == "L": + le_rows.append(row_name) + elif row_type == "G": + ge_rows.append(row_name) + + # Get variable bounds + var_bounds = [] + for col_name in mps_data["col_order"]: + if col_name in mps_data["bounds"]: + bound_info = mps_data["bounds"][col_name] + var_bounds.append((bound_info["lo"], bound_info["up"])) + else: + # Default: x >= 0 (standard LP convention) + var_bounds.append((0.0, np.inf)) + + # Count additional variables and constraints needed + n_le = len(le_rows) + n_ge = len(ge_rows) + n_ineq = n_le + n_ge # Number of slack variables needed + + # Count upper bound constraints (finite upper bounds) + n_upper_bounds = sum(1 for lo, up in var_bounds if up < np.inf) + + # Total variables: original + slack for inequalities + slack for upper bounds + n_slack_ineq = n_ineq + n_slack_upper = n_upper_bounds + n_total_vars = n_orig_cols + n_slack_ineq + n_slack_upper + + # Total constraints: equality + inequality (with slack) + upper bound constraints + n_orig_eq = len(eq_rows) + n_total_constraints = n_orig_eq + n_ineq + n_upper_bounds + + # Build objective vector c (extended with zeros for slack variables) + c = np.zeros(n_total_vars) + obj_name = mps_data["obj_name"] + if obj_name: + for col_name, coeffs in mps_data["columns"].items(): + if obj_name in coeffs: + c[col_idx[col_name]] = coeffs[obj_name] + + # Build unified constraint matrix A_eq and RHS b_eq + A_eq = lil_matrix((n_total_constraints, n_total_vars)) + b_eq = np.zeros(n_total_constraints) + + row_idx = 0 + slack_idx = n_orig_cols # Index for next slack variable + + # 1. Original equality constraints (E rows) + for row_name in eq_rows: + for col_name, coeffs in mps_data["columns"].items(): + if row_name in coeffs: + A_eq[row_idx, col_idx[col_name]] = coeffs[row_name] + b_eq[row_idx] = mps_data["rhs"].get(row_name, 0.0) + row_idx += 1 + + # 2. Less-than-or-equal constraints (L rows): Ax + s = b, s >= 0 + for row_name in le_rows: + for col_name, coeffs in mps_data["columns"].items(): + if row_name in coeffs: + A_eq[row_idx, col_idx[col_name]] = coeffs[row_name] + # Add slack variable + A_eq[row_idx, slack_idx] = 1.0 + b_eq[row_idx] = mps_data["rhs"].get(row_name, 0.0) + row_idx += 1 + slack_idx += 1 + + # 3. Greater-than-or-equal constraints (G rows): Ax - s = b, s >= 0 + for row_name in ge_rows: + for col_name, coeffs in mps_data["columns"].items(): + if row_name in coeffs: + A_eq[row_idx, col_idx[col_name]] = coeffs[row_name] + # Subtract slack variable + A_eq[row_idx, slack_idx] = -1.0 + b_eq[row_idx] = mps_data["rhs"].get(row_name, 0.0) + row_idx += 1 + slack_idx += 1 + + # 4. Upper bound constraints: x + s_up = u, s_up >= 0 + for var_idx, (_lo, up) in enumerate(var_bounds): + if up < np.inf: + A_eq[row_idx, var_idx] = 1.0 + A_eq[row_idx, slack_idx] = 1.0 + b_eq[row_idx] = up + row_idx += 1 + slack_idx += 1 + + A_eq = A_eq.tocsr() + + # Handle lower bounds by shifting variables + # For variables with lo != 0: x_new = x - lo, so A_eq stays same, b_eq adjusts + c_shift = 0.0 + for var_idx, (lo, _up) in enumerate(var_bounds): + if lo != 0 and lo > -np.inf: + # x = x_new + lo, so c'x = c'x_new + c*lo + c_shift += c[var_idx] * lo + # Ax = A(x_new + lo) = Ax_new + A*lo, so b = b - A*lo + b_eq -= A_eq[:, var_idx].toarray().flatten() * lo + + A_eq = A_eq.toarray() + + # Count free variables (variables with lo = -inf) + n_free_vars = 0 + n_nonneg_vars = 0 + for lo, _up in var_bounds: + if lo == -np.inf: + n_free_vars += 1 + else: + n_nonneg_vars += 1 + + # Add slack variables to nonneg count + n_nonneg_vars += n_slack_ineq + n_slack_upper + + # Create cone structure for SeDuMi format + cone_structure = {"free_vars": n_free_vars, "nonneg_vars": n_nonneg_vars, "soc_cones": [], "sdp_cones": []} + + # Create metadata + metadata = { + "source": "MPS file", + "format": "MPS (converted to SeDuMi)", + "original_name": mps_data["name"], + "objective_row": obj_name, + "objective_shift": c_shift, + "constraint_counts": { + "original_equality": n_orig_eq, + "original_less_equal": n_le, + "original_greater_equal": n_ge, + "upper_bound_constraints": n_upper_bounds, + "total": n_total_constraints, + }, + "original_dimensions": {"variables": n_orig_cols, "constraints": n_orig_eq + n_le + n_ge}, + "sedumi_dimensions": {"variables": n_total_vars, "constraints": n_total_constraints}, + } + + logger.info( + f"Converted {problem_name}: LP problem " + f"({n_orig_cols} original vars -> {n_total_vars} total vars, " + f"{n_total_constraints} constraints)" + ) + + # Reshape for consistency with other loaders + c = c.reshape(-1, 1) + b_eq = b_eq.reshape(-1, 1) + + return ProblemData( + name=problem_name, + problem_class="LP", + c=c, + A_eq=A_eq, + b_eq=b_eq, + A_ub=None, + b_ub=None, + bounds=None, # Bounds handled through SeDuMi cone structure + cone_structure=cone_structure, + metadata=metadata, + ) + + +if __name__ == "__main__": + # Test script + import sys + + if len(sys.argv) < 2: + print("Usage: python mps_loader.py ") + sys.exit(1) + + file_path = sys.argv[1] + + try: + loader = MPSLoader() + problem = loader.load(file_path) + print(f"Loaded problem: {problem}") + print(f" Variables: {problem._num_variables}") + print(f" Constraints: {problem._num_constraints}") + print(f" Bounds: {len(problem.bounds) if problem.bounds else 0} variables with bounds") + + except Exception as e: + print(f"Error loading problem: {e}") + import traceback + + traceback.print_exc() + sys.exit(1) diff --git a/scripts/data_loaders/python/problem_interface.py b/scripts/data_loaders/python/problem_interface.py index 6935901..4b3baae 100644 --- a/scripts/data_loaders/python/problem_interface.py +++ b/scripts/data_loaders/python/problem_interface.py @@ -30,6 +30,7 @@ from scripts.data_loaders.problem_loader import ProblemData from scripts.data_loaders.python.dat_loader import DATLoader from scripts.data_loaders.python.mat_loader import MATLoader +from scripts.data_loaders.python.mps_loader import MPSLoader from scripts.utils.logger import get_logger logger = get_logger("problem_interface") @@ -48,8 +49,8 @@ class ProblemInterface: FORMAT_LOADERS = { "mat": MATLoader, "dat-s": DATLoader, + "mps": MPSLoader, # Future loaders can be added here - # "mps": MPSLoader, # "qps": QPSLoader, # "python": PythonLoader, } diff --git a/scripts/reporting/raw_data_report.py b/scripts/reporting/raw_data_report.py index e48381b..f5219ad 100644 --- a/scripts/reporting/raw_data_report.py +++ b/scripts/reporting/raw_data_report.py @@ -188,6 +188,62 @@ def generate_raw_data(self, results: List[BenchmarkResult]) -> str: border-radius: 4px; } + .status-stalled { + background-color: #ffe8cc; + color: #664d00; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + + .status-max-iter { + background-color: #f0e6ff; + color: #5a3d8a; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + + .status-num-error { + background-color: #ffcccc; + color: #990000; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + + .status-timeout { + background-color: #e8e8e8; + color: #666666; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + + .status-sigkill { + background-color: #d8d8d8; + color: #555555; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + + .status-subprocess-error { + background-color: #f0f0f0; + color: #777777; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + + .status-unknown { + background-color: #f8f8f8; + color: #999999; + font-weight: bold; + padding: 4px 8px; + border-radius: 4px; + } + .solver-name { font-weight: 600; color: #2c3e50; @@ -395,12 +451,24 @@ def generate_raw_data(self, results: List[BenchmarkResult]) -> str: status_class = "status-optimal-inaccurate" elif status_lower == "unsupported": status_class = "status-unsupported" + elif status_lower == "timeout": + status_class = "status-timeout" + elif status_lower == "sigkill": + status_class = "status-sigkill" + elif status_lower == "subprocess_error": + status_class = "status-subprocess-error" + elif status_lower == "stalled": + status_class = "status-stalled" + elif status_lower == "max_iter": + status_class = "status-max-iter" + elif status_lower == "num_error": + status_class = "status-num-error" elif status_lower == "error": status_class = "status-error" elif status_lower in ["infeasible", "unbounded"]: status_class = "status-infeasible" else: - status_class = "" + status_class = "status-unknown" html_content += f"""