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* sessions based * try out caching + no sleep * update fixture usage * better reset usge * state less on tech, probably breaking change * better fixtures + decouple resets * use pytest-xdist w 2 servers * using diff grouping for dep * formatting * formatting * caching for image * formatting * formatting * use uv * use uv caching * remove docker caching (its slower) * how about 4 workers? * no redundant resets * parameterize * change names * update all_technologies_researched usage change log: - used uv and cache dependencies - used 2 factorio headless server instances - added pytest-xdist & used 2 pytest workers - parametrized the slowest test -- `test_sleep.py` so as to balance it across workers - clarified resets in `instance.py` so separate instances arent needed for research testing - better fixture usage, with autouse reset - added configure_game callback for per test file setup of inventories & research state. - updated task abc all_technologies_researched usage, its now a param for reset - using 4 workers instead of 2, can probably double it again lol - pytest parameterized a slow test - fixed redundant reset in conftest final speedup: 9m 4s -> 1m, ≈9.07× faster
145 lines
3.1 KiB
TOML
145 lines
3.1 KiB
TOML
[build-system]
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requires = ["hatchling"]
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build-backend = "hatchling.build"
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[project]
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name = "factorio-learning-environment"
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version = "0.2.2"
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description = "Factorio Learning Environment"
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authors = [
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{name = "Jack Hopkins", email = "noreply@github.com"},
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{name = "Mart Bakler", email = "noreply@github.com"},
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{name = "Neel Kant", email = "contact@neelkant.io"},
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{name = "Kian Kyars", email = "kiankyars@gmail.com"},
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]
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readme = "README.md"
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requires-python = ">=3.10"
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license = {text = "MIT"}
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classifiers = [
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"Development Status :: 4 - Beta",
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"Intended Audience :: Developers",
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"Intended Audience :: Science/Research",
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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.10",
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"Programming Language :: Python :: 3.11",
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"Programming Language :: Python :: 3.12",
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"Programming Language :: Python :: 3.13",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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]
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dependencies = [
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"python-dotenv>=1.0.1",
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"pydantic>=2.10.6",
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"lupa>=2.4",
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"slpp>=1.2.3",
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"factorio-rcon-py==1.2.1",
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"construct>=2.10.70",
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"pillow>=11.1.0",
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"tomli",
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"numpy>=2.2.3",
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"gym",
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"a2a-sdk",
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"anthropic>=0.49.0",
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"openai>=1.66.3",
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"tenacity>=9.0.0",
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"psycopg2>=2.9.10",
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"aiohttp>=3.8.0",
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"uvicorn>=0.15.0",
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"gym",
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"a2a-sdk",
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"anthropic>=0.49.0",
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"openai>=1.66.3",
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"tenacity>=9.0.0",
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"psycopg2>=2.9.10",
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"aiohttp>=3.8.0",
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"uvicorn>=0.15.0",
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"pytest>=8.4.1",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=7.0.0",
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"black>=23.0.0",
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"isort>=5.12.0",
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"rich>=14.0.0",
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"questionary>=2.1.0",
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"pytest-xdist>=3.8.0",
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]
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agents = [
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"anthropic>=0.49.0",
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"openai>=1.66.3",
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]
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cluster = [
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"docker>=6.0.0",
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"boto3>=1.26.0",
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"opencv-python",
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"pyautogui>=0.9.54",
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"pillow>=10.0.0",
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"psutil>=5.9.0",
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"opencv-python",
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"pyautogui>=0.9.54",
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"pillow>=10.0.0",
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"psutil>=5.9.0",
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]
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eval = [
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"scikit-image>=0.25.2",
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"psycopg2>=2.9.10",
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]
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all = [
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"docker>=6.0.0",
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"boto3>=1.26.0",
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"scikit-image>=0.25.2",
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]
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mcp = [
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"mcp[cli]",
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"dulwich",
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]
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env = [
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"anyio",
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"pygame",
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"neptune",
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"rich",
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"openai",
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"scipy",
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"scikit-image",
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"pyautogui",
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"tenacity",
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"fastapi>=0.68.0",
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]
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[project.scripts]
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fle = "fle.run:main"
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[tool.hatch.version]
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path = "fle/__init__.py"
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[tool.hatch.build]
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exclude = [
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"fle/**/__pycache__",
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"fle/**/*.pyc",
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"fle/**/*.pyo",
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"fle/**/*.pyd",
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]
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[tool.hatch.build.targets.wheel]
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packages = ["fle"]
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[tool.pytest.ini_options]
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pythonpath = "fle/env"
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testpaths = "tests"
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python_files = "test_*.py"
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[project.urls]
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homepage = "https://jackhopkins.github.io/factorio-learning-environment/"
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leaderboard = "https://jackhopkins.github.io/factorio-learning-environment/leaderboard/"
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[[tool.uv.index]]
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name = "pypi"
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url = "https://pypi.org/simple"
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publish-url = "https://upload.pypi.org/legacy/"
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[[tool.uv.index]]
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name = "testpypi"
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url = "https://test.pypi.org/legacy/"
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publish-url = "https://test.pypi.org/legacy/"
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