pyproject.toml

[tool.black]
line-length = 88
target-version = ["py311"]

[tool.isort]
profile = "black"

[tool.poetry]
name = "deepmatrixinversion"
version = "1.0.0"
description = "A simple tool invert matrix using neural networks"
authors = ["Giuseppe Marco Randazzo <gmrandazzo@gmail.com>"]
readme = "README.md"
license = "lglpv3"
repository = "https://github.com/gmrandazzo/DeepMatrixInversion"
packages = [{include = "deepmatrixinversion", from = "src"}]
classifiers = [
    "Development Status :: 3 - Alpha",
    "License :: OSI Approved :: GNU Lesser General Public License v3 (LGPLv3)",
    "Operating System :: POSIX :: Linux",
    "Operating System :: MacOS :: MacOS X",
    "Topic :: Scientific/Engineering"
]

[tool.poetry.dependencies]
python = "^3.9"
scikit-learn = "^1.5.2"
matplotlib = "^3.9.2"
tensorflow  = [
    { version = "^2.17.0", extras = ["and-cuda"], markers = "sys_platform == 'linux'" },
    { version = "^2.17.0", markers = "sys_platform == 'darwin'" }
]
toml = "^0.10.2"

[tool.poetry.dev-dependencies]
pytest = "^7.4.0"
pytest-cov = "^4.1.0"
pre-commit = "^3.3.3"
tox = "^4.2.3"

[tool.poetry.scripts]
dmxtrain = "deepmatrixinversion.train:main"
dmxinvert = "deepmatrixinversion.predict:main"
dmxdatasetgenerator = "deepmatrixinversion.generate_dataset:main"
dmxdatasetverify = "deepmatrixinversion.verify_dataset:main"

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"