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setup.cfg
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setup.cfg
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# Copyright (c) 2021 Centre National d'Etudes Spatiales (CNES).
#
# This file is part of CARS
# (see https://github.com/CNES/cars).
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# CARS setup configuration file
# package setup main metadata
[metadata]
name = cars
author = CNES
author_email = [email protected]
url = https://cars.readthedocs.io/
project_urls =
Source = https://github.com/CNES/cars
Documentation = https://cars.readthedocs.io/en/latest/
description = A satellite multi view stereo pipeline
long_description = file:README.md
long_description_content_type = text/markdown
license = Apache License 2.0
license_files = LICENSE
platform = any
keywords: cars, 3D, DEM, pandora, photogrammetry
classifiers =
Development Status :: 4 - Beta
Intended Audience :: Developers
Intended Audience :: End Users/Desktop
Intended Audience :: Science/Research
Environment :: Console
Topic :: Software Development :: Libraries :: Python Modules
License :: OSI Approved :: Apache Software License
Operating System :: OS Independent
Programming Language :: Python
Programming Language :: Python :: 3.8
[options]
python_requires = >=3.8
setup_requires =
setuptools>=45
wheel
setuptools_scm[toml]>=6.2 # Following https://pypi.org/project/setuptools-scm/
# cars packages dependencies
install_requires =
numpy>=1.17.0
scipy>=1.7.1,!=1.10.0
matplotlib
affine
rasterio>=1.3.0
dask>=2021.10.0
distributed>=2021.10.0
dask-jobqueue>=0.7.3
json-checker
xarray
tqdm
netCDF4>=1.5.3
Shapely
Fiona
pyproj
utm
pandas
urllib3<2.0,>=1.21.1
laspy[laszip]
tbb==2020.3.254 # Intel optim for numba: KO for 2021 versions
numba
pandora[sgm]==1.6.2
libsgm==0.4.6
cars-rasterize==0.2.*
cars-resample==0.1.*
vlsift==0.1.*
shareloc==0.2.3
bulldozer-dtm
package_dir =
. = cars
packages = find:
[options.extras_require]
# [dev] mode dependencies: include notebook and doc
dev =
pytest
pytest-cov
pre-commit
isort>=5.8.0 # Check imports
black>=24.1a1 # PEP8 format code
flake8>=3.9.1 # General linter
flake8-comprehensions>=3.4.0 # Check list/dict/set
flake8-bugbear>=21.4.3,<24.0.0 # Add some rules to flake8
jupyter_contrib_nbextensions # Clean notebooks
pylint>=2.8.12,<3.0.0 # General linter with more rules
setuptools_scm # version from git tag
virtualenv
configupdater
twine # for pypi upload
notebook<7.0.0 # for pytest test_notebooks.py
bokeh==2.4.3 # for pytest test_notebooks.py
sphinx # for cars doc
sphinx-rtd-theme # for cars doc
graphviz # for cars doc
memory_profiler
memray
dash
plotly
build # for cars build
# [docs] mode dependencies
docs =
sphinx
sphinx-rtd-theme
sphinx_autoapi
graphviz
sphinx_tabs==3.4.0
sphinx-copybutton
# [notebook] mode dependencies
notebook =
notebook
bokeh
rise
# [pandora_mccnn] add heavy mccnn capability for dense matching pandora already install in main requires
pandora_mccnn =
pandora_plugin_mccnn==1.3.0
[options.package_data]
cars = orchestrator/cluster/dask_config/*.yaml, conf/geoid/*.grd, conf/geoid/*.hdr, applications/dense_matching/loaders/*.json, applications/dsm_filling/bulldozer_config/*.yaml
# cars entry points cli scripts
[options.entry_points]
console_scripts =
cars = cars.cars:main
cars-starter = cars.starter:cli
cars-extractroi = cars.extractroi:main
cars-dashboard = cars.orchestrator.tiles_profiler:main
# Specify no universal wheel supported (only Python3)
[bdist_wheel]
universal = false
# Flake8 configuration
[flake8]
exclude = .git, venv, build, dist, tests/test_output,
# Add flake8 ignored rules
ignore =
# from black compatibility
extend-ignore = E203, W503
max-complexity = 15
max-line-length = 80
#show-source = true
# errors types are not selected by default, so add them to your selection
select = E,F,W,C,B9,C4,B