setup.cfg

# 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 = cars@cnes.fr
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 :: 3.9

[options]
python_requires = >=3.9

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
    cars-rasterize==0.2.*
    cars-resample==0.1.*
    cars-filter==0.1.*
    vlsift==0.1.*
    shareloc==0.2.4
    bulldozer-dtm==1.0.*

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 =
    astroid<3.0.0
    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
    cars-devibrate = cars.devibrate:cli

# 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