pyproject.toml

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

[project]
name = "leopardgecko"

#version = "0.0.2"
#version = {attr = "leopardgecko.__version__"}
# dynamic = ["version", "readme"]
dynamic = ["version"]

authors = [{ name="Luis Perdigao" , email="luis.perdigao@rfi.ac.uk"}]
description = "Tools to analyse and process results from predicted segmentation of microscopy volumetric tomography data"
readme = "README.md"
requires-python = ">=3.8"
license = {file="LICENSE.txt"}


classifiers = [
    "Development Status :: 2 - Pre-Alpha",
    "Intended Audience :: Developers",
    "Topic :: Software Development :: Testing",
    "Programming Language :: Python",
    "Programming Language :: Python :: 3",
    "Programming Language :: Python :: 3.8",
    "Programming Language :: Python :: 3.9",
    "Programming Language :: Python :: 3.10",
    "Operating System :: OS Independent",
    "License :: OSI Approved :: Apache Software License"
]

dependencies = [
    "numpy",
    "h5py",
    "pyyaml",
    "dask",
    "scipy",
    "tqdm",
    "matplotlib",
    "dask_ml",
    "volume-segmantics@git+https://github.com/rosalindfranklininstitute/volume-segmantics.git@LMAP_dev"
]

[tool.setuptools.dynamic]
version = {attr = "leopardgecko.__version__"}
# readme = {file = ["README.rst", "USAGE.rst"]}

[project.optional-dependencies]
    TORCH=["torch"]

[project.urls]
Repository = "https://github.com/rosalindfranklininstitute/LeopardGecko"

[project.scripts]