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pyproject.toml
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pyproject.toml
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[build-system]
requires = ["hatchling", "hatch-vcs"]
build-backend = "hatchling.build"
# read more about configuring hatch at:
# https://hatch.pypa.io/latest/config/build/
[tool.hatch.version]
source = "vcs"
[tool.hatch.build.targets.wheel]
only-include = ["EmbedSeg"]
sources = ["EmbedSeg"]
# https://peps.python.org/pep-0621/
[project]
name = "EmbedSeg"
dynamic = ["version"]
description = "EmbedSeg provides automatic detection and segmentation of objects in microscopy images"
readme = "README.md"
requires-python = ">=3.8"
license = { text = "BSD-3-Clause" }
authors = [
{ name = 'Manan Lalit', email = '[email protected]' },
{ name = 'Pavel Tomancak' },
{ name = 'Florian Jug' },
]
classifiers = [
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"License :: OSI Approved :: BSD License",
]
dependencies = [
"matplotlib",
"numpy",
"scipy",
"tifffile",
"numba",
"tqdm",
"jupyter",
"pandas",
"seaborn",
"scikit-image",
"colorspacious",
"pycocotools",
]
[project.optional-dependencies]
# development dependencies and tooling
test = ["pytest", "pytest-cov"]
# https://docs.pytest.org/en/6.2.x/customize.html
[tool.pytest.ini_options]
minversion = "6.0"
testpaths = ["EmbedSeg/_tests"]
[project.urls]
homepage = "https://github.com/juglab/EmbedSeg/"
repository = "https://github.com/juglab/EmbedSeg/"