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Copy pathpyproject.toml
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80 lines (70 loc) · 1.97 KB
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[build-system]
requires = ["hatchling>=1.25"]
build-backend = "hatchling.build"
[project]
name = "asd-agent-tutorial"
version = "0.1.0"
description = "Educational AI-agent loop for area-selective deposition in a virtual laboratory."
readme = "README.md"
requires-python = ">=3.12,<3.15"
license = { text = "MIT" }
authors = [{ name = "ASD Agent Tutorial Contributors" }]
keywords = ["atomic-layer-deposition", "area-selective-deposition", "agents", "optimization", "tutorial"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Topic :: Scientific/Engineering",
]
dependencies = [
"numpy>=2.0",
"pandas>=2.2",
"pydantic>=2.7",
"pyyaml>=6.0",
"matplotlib>=3.9",
]
[project.optional-dependencies]
bo = [
"scipy>=1.18,<2",
"scikit-learn>=1.9,<2",
]
bo-gp = [
"torch>=2.13,<3",
"gpytorch>=1.15,<2",
"botorch>=0.18,<1",
]
bo-ax = ["ax-platform>=1.3,<2"]
bo-analysis = ["statsmodels>=0.14.6,<0.15", "seaborn>=0.13.2,<0.14", "tqdm>=4.67,<5"]
llm = ["openai>=1.0"]
notebooks = ["jupyterlab>=4.0", "nbformat>=5.10"]
dev = ["pytest>=8.0", "ruff>=0.6", "mypy>=1.10", "types-PyYAML>=6.0"]
[project.scripts]
asd-agent = "asd_agent.cli:main"
asd-demo = "asd_agent.demo:main"
asd-benchmark = "asd_agent.benchmark:main"
[tool.hatch.build.targets.wheel]
packages = ["src/asd_agent"]
[tool.pytest.ini_options]
testpaths = ["tests"]
pythonpath = ["src"]
[tool.ruff]
line-length = 100
target-version = "py312"
src = ["src", "tests", "scripts"]
[tool.ruff.lint]
select = ["E", "F", "I", "UP", "B", "SIM"]
[tool.mypy]
python_version = "3.12"
strict = true
mypy_path = "src"
packages = ["asd_agent"]
warn_unused_ignores = false
[[tool.mypy.overrides]]
module = ["openai"]
ignore_missing_imports = true
[[tool.mypy.overrides]]
module = ["gpytorch", "gpytorch.*"]
ignore_missing_imports = true