FlagQuantum/pyproject.toml at main · flagos-ai/FlagQuantum · GitHub

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# pyproject.toml

[build-system]
requires = ["setuptools>=61.0", "wheel"]
build-backend = "setuptools.build_meta"

[project]
name = "flagquantum"
version = "0.1.0"
description = "A distributed quantum computing framework built on PyTorch"
authors = [
    {name = "FlagQuantum Team", email = "flagquantum@gmail.com"}
]
license = {text = "Apache-2.0"}
readme = "README.md"
requires-python = ">=3.9"
dependencies = [
    "torch>=2.5.0",
    "numpy>=1.24.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0.0",
    "pytest-cov>=4.0.0",
    "pytest-xdist>=3.0.0",
    "ruff>=0.1.0",
    "black>=23.0",
    "mypy>=1.0",
]

viz = [
    "matplotlib>=3.5.0",
]

invertible = [
    "torch>=2.5.0",  # Nightly build recommended for invertible backprop
]

all = [
    "pytest>=7.0.0",
     "pytest-cov>=4.0.0",
     "pytest-xdist>=3.0.0",
     "ruff>=0.1.0",
     "black>=23.0",
     "mypy>=1.0",
     "matplotlib>=3.5.0",
     "torch>=2.5.0",  # Nightly build recommended for invertible backprop
]

[project.urls]
Homepage = "https://github.com/flagquantum/flagquantum"
Repository = "https://github.com/flagquantum/flagquantum"
Issues = "https://github.com/flagquantum/flagquantum/issues"

[tool.setuptools.packages.find]
where = ["."]
include = ["flagquantum*"]
exclude = ["tests*", "docs*", "scripts*", "examples*"]

[tool.black]
line-length = 88
target-version = ["py39", "py310", "py311", "py312"]

[tool.ruff]
line-length = 88

[tool.ruff.lint]
select = ["E", "F", "I", "N", "W"]
ignore = ["E501"]

[tool.mypy]
python_version = "3.10"
ignore_missing_imports = true

[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = "test_*.py"
python_classes = "Test*"
python_functions = "test_*"
addopts = "-v --tb=short --strict-markers"
markers = [
    "slow: marks tests as slow (deselect with '-m \"not slow\"')",
    "gpu: marks tests that require GPU",
    "distributed: marks tests that require multiple processes",
]