Release br

.github/workflows/workflow.yaml

@@ -24,13 +24,14 @@ jobs:
 
       - uses: actions/setup-python@v5
         with:
-          python-version: "3.x"
+          python-version: ["3.9", "3.10", "3.11", "3.12", "3.13"]
 
       - name: Build release distributions
         run: |
           # NOTE: put your own distribution build steps here.
           python -m pip install build
           python -m build
+          for file in tests/*_test.py; do python "$file"; done
 
       - name: Upload distributions
         uses: actions/upload-artifact@v4

README.md

@@ -1,4 +1,4 @@
-# GAMMS v0.2.7
+# GAMMS v1.0.0
 
 GAMMS (Graph based Adversarial Multiagent Modelling Simulator) is a Python library designed for simulating large scale multi-agent scenarios on environments represented as graphs. The library is a framework which focuses on providing a flexible and extensible architecture to facilitate implementing interactions between agents and the environment as well as controlling the information flow between them. The library is geared towards easing development of high level scenario dynamics and testing agent behaviours rather than low level details like the actual physics of real world interactions. GAMMS tries to solve the following problems:
 
@@ -45,4 +45,17 @@ Detailed installation and setup instructions are available in the [Installation
 
 # Documentation
 
-The documentation is available at [GAMMS Documentation](https://gammsim.github.io/gamms/stable/). The documentation is generated using [mkdocs-materials](https://squidfunk.github.io/mkdocs-material/) with mike for versioning. You can do a local build by cloning the repository and serving the documentation using mkdocs. For new users, [Tutorials](https://gammsim.github.io/gamms/stable/tutorials) is a good place to start.
+The documentation is available at [GAMMS Documentation](https://gammsim.github.io/gamms/stable/). The documentation is generated using [mkdocs-materials](https://squidfunk.github.io/mkdocs-material/) with mike for versioning. You can do a local build by cloning the repository and serving the documentation using mkdocs. For new users, [Tutorials](https://gammsim.github.io/gamms/stable/tutorials) is a good place to start.
+
+# Citation
+
+If you use GAMMS in your work, please cite the paper:
+
+ ```bibtex
+@article{patil2026gamms,
+  title={GAMMS: Graph based Adversarial Multiagent Modeling Simulator},
+  author={Patil, Rohan and Malegaonkar, Jai and Jiang, Xiao and Dion, Andre and Sukhatme, Gaurav S and Christensen, Henrik I},
+  journal={arXiv preprint arXiv:2602.05105},
+  year={2026}
+}
+```

gamms/VisualizationEngine/__init__.py

@@ -49,6 +49,7 @@ def lazy(fullname: str):
     module = importlib.util.module_from_spec(spec)
     loader = importlib.util.LazyLoader(spec.loader)
     # Make module with proper locking and get it inserted into sys.modules.
+    sys.modules[fullname] = module
     loader.exec_module(module)
     return module
 

gamms/__init__.py

@@ -61,4 +61,4 @@ def create_context(
     ctx.set_alive()
     return ctx
 
-__version__ = "0.2.7"
+__version__ = "1.0.0"

pyproject.toml

@@ -6,12 +6,12 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "gamms"
-version = "0.2.7"
+version = "1.0.0"
 authors = [
     {name = "Rohan Patil", email = "rpatil@ucsd.edu"},
     {name = "Jai Malegaonkar", email = "jmalegaonkar@ucsd.edu"},
-    {name = "Andre Dion"},
-    {name = "Xiao Jiang"},
+    {name = "Mehul Sinha"},
+    {name = "Jinmin Lee"},
 ]
 description = "GAMMS (Graph based Adversarial Multiagent Modelling Simulator) is a Python library designed for simulating large scale multi-agent scenarios on environments represented as graphs"
 readme = "README.md"
@@ -23,6 +23,8 @@ classifiers = [
     "Programming Language :: Python :: 3.9",
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
     "Intended Audience :: Developers",
     "Intended Audience :: Science/Research",
     "Operating System :: OS Independent"
@@ -31,9 +33,9 @@ dependencies = [
     "pygame",
     "shapely",
     "networkx",
-    "cbor2<=5.7.1",
+    "cbor2",
     "aenum",
-    "osmnx"
+    "osmnx<2.0.5,>=2.1.0",
 ]
 
 [tool.setuptools.packages.find]