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setup.cfg
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[metadata]
name = scip
description =
Scalable Cytometry Image Processing (SCIP) is an open-source tool that implements an image
processing pipeline on top of Dask, a distributed computing framework written in Python.
SCIP performs normalization, image segmentation and masking, and feature extraction.
maintainer = Maxim Lippeveld
author = Maxim Lippeveld
author_email = [email protected]
license = GPL-2.0-or-later
url = https://github.com/ScalableCytometryImageProcessing/SCIP
project_urls =
Documentation = https://scalable-cytometry-image-processing.readthedocs.io/en/latest/
Source = https://github.com/ScalableCytometryImageProcessing/SCIP
Tracker = https://github.com/ScalableCytometryImageProcessing/SCIP/issues
long_description = file: README.md
long_description_content_type = text/markdown; chartset=UTF-8
classifiers =
Programming Language :: Python :: 3
Topic :: Scientific/Engineering :: Bio-Informatics
Topic :: Scientific/Engineering :: Image Processing
[options]
zip_safe = False
python_requires= >=3.8,<3.10
package_dir =
=src
packages = find_namespace:
install_requires =
numpy==1.22
Pillow
dask[distributed]<=2022.12.1
click
scikit-image>=0.18.0
pyyaml
graphviz
zarr
pyarrow>=7.0.0
anndata
pandas<2.0.0
numba==0.58.0
aicsimageio
[options.packages.find]
where = src
exclude =
tests
[options.extras_require]
mpi =
dask_mpi
mpi4py
cellpose =
cellpose
czi =
aicspylibczi
jobqueue =
dask-jobqueue
dev =
flake8
wheel
pytest
pytest-cov
pytest-mpi
types-PyYAML
types-setuptools
sphinx
sphinx-autobuild
sphinx-copybutton
versioneer
furo
build==1.2.1
twine==5.1.0
[options.entry_points]
console_scripts =
scip = scip.main:cli
[flake8]
max-line-length = 100
exclude =
.git,
__pycache__,
docs/source/conf.py,
old,
build,
dist,
src/scip/_version.py,
versioneer.py
ignore = H306
max-complexity = 10
[pytest:run]
omit =
src/scip/_version.py
*/__init__.py
show_missing = True
[versioneer]
VCS = git
style = pep440
versionfile_source = src/scip/_version.py
versionfile_build = scip/_version.py
tag_prefix = v