pyproject.toml

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

[project]
name = "pyadjoint-ad"
version = "2023.0.0"
dependencies = [
  "checkpoint_schedules",
  "scipy>=1.0",
]
authors = [
  {name = "Jørgen S. Dokken", email = "dokken@simula.no"},
]
description = "High-level automatic differentiation library"
readme = "README.md"
license = {file = "LICENSE"}
classifiers = [
  "Programming Language :: Python",
]

[project.urls]
Repository = "https://github.com/dolfin-adjoint/pyadjoint.git"

[project.optional-dependencies]
all = [
  "coverage",
  "flake8",
  "meshio",
  "moola>=0.1.6",
  "networkx",
  "protobuf",
  "pygmsh",
  "pygraphviz",
  "pytest>=3.10",
  "sphinx",
  "sphinx-autobuild",
  "sphinxcontrib-bibtex",
  "tensorflow",
]
doc = ["sphinx", "sphinx-autobuild", "sphinxcontrib-bibtex"]
meshing = ["pygmsh", "meshio"]
moola = ["moola>=0.1.6"]
test = ["pytest>=3.10", "flake8", "coverage"]
visualisation = ["tensorflow", "protobuf", "networkx", "pygraphviz"]


[tool.setuptools]
packages = ["firedrake_adjoint", "numpy_adjoint", "pyadjoint", "pyadjoint.optimization"]