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✨ switch to dynamic versioning based on latest tag #11

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May 27, 2024
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46 changes: 45 additions & 1 deletion pyproject.toml
Original file line number Diff line number Diff line change
@@ -1,4 +1,48 @@
[project]
name = "njab"
authors = [{ name = "Henry Webel", email = "[email protected]" }]
description = "not Just Another Biomarker"
readme = "README.md"
requires-python = ">=3.8"
keywords = ["bioinformatics", "biomarker"]
license = { file = "LICENSE" }
classifiers = [
"License :: OSI Approved :: MIT License",
"Intended Audience :: Healthcare Industry",
"Intended Audience :: Science/Research",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering :: Bio-Informatics",
]
dependencies = [
"omegaconf",
"lifelines",
"numpy",
"pandas",
"scikit-learn",
"statsmodels",
"umap-learn",
"matplotlib",
"mrmr_selection",
"pingouin",
"seaborn",
]
dynamic = ["version"]

[project.optional-dependencies]
docs = [
"sphinx",
"sphinx-book-theme",
"myst-nb",
"ipywidgets",
"sphinx-new-tab-link!=0.2.2",
]

[project.urls]
"Bug Tracker" = "https://github.com/RasmussenLab/njab/issues"
"Homepage" = "https://github.com/RasmussenLab/njab"

[build-system]
requires = ["setuptools>=42", "wheel"]
build-backend = "setuptools.build_meta"
requires = ["setuptools>=64", "setuptools_scm>=8"]

[tool.setuptools_scm]
49 changes: 0 additions & 49 deletions setup.cfg
Original file line number Diff line number Diff line change
@@ -1,52 +1,3 @@
[metadata]
name = njab
version = 0.0.6
description = not Just Another Biomarker
long_description = file: README.md
long_description_content_type = text/markdown
author = Henry Webel
author_email = "Henry Webel" <[email protected]>
license = MIT
license_files = LICENSE
classifiers =
License :: OSI Approved :: MIT License
Intended Audience :: Healthcare Industry
Intended Audience :: Science/Research
Programming Language :: Python :: 3
Topic :: Scientific/Engineering :: Bio-Informatics

[options]
requires_python = ">=3.8"
package_dir =
=src
packages = find:
include_package_data = False
install_requires =
omegaconf
lifelines
numpy
pandas
scikit-learn
statsmodels
umap-learn
matplotlib
mrmr_selection
pingouin
seaborn

[options.extras_require]
docs =
sphinx
sphinx-book-theme
myst-nb
ipywidgets
sphinx-new-tab-link!=0.2.2

[options.packages.find]
where = src
exclude =
test*

[yapf]
based_on_style = pep8

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