NeuralDBG/pyproject.toml at main · LambdaSection/NeuralDBG · GitHub

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[build-system]
requires = ["setuptools>=68.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "neuraldbg"
version = "1.5.0"
description = "Causal inference engine for deep learning training dynamics"
readme = "README.md"
license = "MIT"
license-files = ["LICENSE.md"]
requires-python = ">=3.9"
authors = [
    {name = "SENOUVO Jacques-Charles Gad", email = "neuraldbg@lemniscate.ai"},
]
keywords = [
    "deep-learning",
    "pytorch",
    "debugging",
    "causal-inference",
    "training-dynamics",
    "gradient-analysis",
    "machine-learning",
]
classifiers = [
    "Development Status :: 4 - Beta",
    "Intended Audience :: Science/Research",
    "Intended Audience :: Developers",
    "Programming Language :: Python :: 3",
    "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",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
    "Topic :: Software Development :: Debuggers",
    "Typing :: Typed",
]
dependencies = [
    "torch>=2.0.0",
    "psutil>=5.9.0",
]

[project.scripts]
neuraldbg = "neuraldbg.cli:main"

[project.optional-dependencies]
dev = [
    "pytest>=9.0.3",
    "pytest-cov>=5.0",
    "coverage>=7.0",
    "numpy>=1.24",
]
docs = [
    "pdoc>=14.0.0",
]

[project.urls]
Homepage = "https://github.com/LambdaSection/NeuralDBG"
Repository = "https://github.com/LambdaSection/NeuralDBG"
Documentation = "https://github.com/LambdaSection/NeuralDBG#readme"
Changelog = "https://github.com/LambdaSection/NeuralDBG/blob/main/CHANGELOG.md"
Issues = "https://github.com/LambdaSection/NeuralDBG/issues"

[tool.setuptools.packages.find]
where = ["."]
include = ["neuraldbg*"]

[tool.pytest.ini_options]
minversion = "6.0"
addopts = "-ra -q --cov=neuraldbg --cov-report=term-missing"
testpaths = ["tests"]
pythonpath = ["."]
filterwarnings = [
    "ignore::DeprecationWarning:mlflow.*",
    "ignore::FutureWarning:mlflow.*",
    "ignore::FutureWarning:torch.nn.modules.module.*",
    "ignore::DeprecationWarning:torch.jit.*",
    # Expected internal warnings — intentional design decisions
    "ignore:NeuralDbg\\: Model is wrapped in DataParallel.*:UserWarning",
    "ignore:NeuralDbg\\: Model is already compiled.*:UserWarning",
]

[tool.coverage.run]
branch = true
source = ["neuraldbg"]
omit = [
    "tests/*",
    "examples/*",
    "neuraldbg/cli.py",
    "neuraldbg/injector.py",
    "neuraldbg/prune.py",
    "neuraldbg/causal_chain.py",
]

[tool.coverage.report]
fail_under = 75
exclude_lines = [
    "pragma: no cover",
    "if TYPE_CHECKING:",
    "raise NotImplementedError",
    "def __repr__",
]