pyproject.toml

[project]
name = "tensorgrad"
version = "0.2.0"
dependencies = [
   "networkx==3.2.1",
   "numpy",
   "torch",
   "nbval",
   "pytest",
   "einops",
   "pdf2image",
   "sympy",
   "sparse",
   "opt_einsum"
]
requires-python = ">=3.10"
authors = [
  {name = "Thomas Ahle", email = "lobais@gmail.com"},
]
description = "Tensor Network Library with Symbolic Autograd"
readme = "README.md"
license = {file = "LICENSE"}
keywords = ["tensors", "autograd"]
classifiers = [
  "Development Status :: 4 - Beta",
  "Programming Language :: Python"
]


[project.urls]
Homepage = "https://tensorcookbook.com"
Repository = "/~https://github.com/thomasahle/tensorgrad.git"
Issues = "/~https://github.com/thomasahle/tensorgrad/issues"

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


[tool.setuptools.packages]
find = {}

[tool.ruff]
line-length = 110
indent-width = 4

[tool.mypy]
# Enable/disable type checking options
check_untyped_defs = true
disallow_untyped_defs = true
disallow_incomplete_defs = true
exclude = "tests/"


[tool.pytest.ini_options]
# addopts = "-s"
# addopts = "--nbval"