caskade/pyproject.toml at main · ConnorStoneAstro/caskade · GitHub

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[build-system]
requires = ["hatchling", "hatch-requirements-txt", "hatch-vcs"]
build-backend = "hatchling.build"

[project]
name = "caskade"
dynamic = [
        "dependencies",
        "version"
]
authors = [
  { name="Connor Stone", email="connorstone628@gmail.com" },
  { name="Alexandre Adam", email="alexandre.adam@mila.quebec" },
]
description = "Package for building scientific simulators, with dynamic arguments arranged in a directed acyclic graph."
readme = "README.md"
requires-python = ">=3.9"
license = {file = "LICENSE"}
keywords = [
        "caskade",
        "DAG",
        "scientific python",
        "differentiable programming",
        "pytorch"
]
classifiers=[
        "Development Status :: 1 - Planning",
        "Intended Audience :: Science/Research",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
        "Programming Language :: Python :: 3"
]

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

[project.optional-dependencies]
dev = [
    "pytest>=8.0,<9",
    "pytest-cov>=4.1,<5",
    "pytest-mock>=3.12,<4",
    "pre-commit>=3.6,<4",
    "graphviz>=0.17,<1",
    "h5py>=3.11,<4",
    "nbconvert",
    "matplotlib",
    "emcee",
    "scipy",
    "ipywidgets",
    "jax",
    "jaxlib",
]
torch = []
jax = ["jax", "jaxlib"]
numpy = []
object = []

[tool.hatch.metadata.hooks.requirements_txt]
files = ["requirements.txt"]

[tool.hatch.version]
source = "vcs"

[tool.hatch.build.hooks.vcs]
version-file = "src/caskade/_version.py"

[tool.hatch.version.raw-options]
local_scheme = "no-local-version"

[tool.ruff]
line-length = 100

[tool.pytest.ini_options]
norecursedirs = "tests/utils"