%global _empty_manifest_terminate_build 0 Name: python-cloudnetpy Version: 1.46.5 Release: 1 Summary: Python package for Cloudnet processing License: MIT License URL: https://github.com/actris-cloudnet/cloudnetpy Source0: https://mirrors.nju.edu.cn/pypi/web/packages/08/88/8d2bc00e52f1f8ed97e9658b9280171e54bc72e35a45c2518693f74b3e45/cloudnetpy-1.46.5.tar.gz BuildArch: noarch Requires: python3-scipy Requires: python3-netCDF4 Requires: python3-matplotlib Requires: python3-requests Requires: python3-cloudnetpy-qc Requires: python3-scikit-image Requires: python3-rpgpy Requires: python3-pre-commit Requires: python3-voodoonet Requires: python3-pytest Requires: python3-pytest-flakefinder Requires: python3-pylint Requires: python3-mypy Requires: python3-types-requests %description # CloudnetPy [![CloudnetPy CI](https://github.com/actris-cloudnet/cloudnetpy/actions/workflows/test.yml/badge.svg)](https://github.com/actris-cloudnet/cloudnetpy/actions/workflows/test.yml) [![Documentation Status](https://readthedocs.org/projects/cloudnetpy/badge/?version=latest)](https://cloudnetpy.readthedocs.io/en/latest/?badge=latest) [![PyPI version](https://badge.fury.io/py/cloudnetpy.svg)](https://badge.fury.io/py/cloudnetpy) [![DOI](https://zenodo.org/badge/233602651.svg)](https://zenodo.org/badge/latestdoi/233602651) [![status](https://joss.theoj.org/papers/959971f196f617dddc0e7d8333ff22b7/status.svg)](https://joss.theoj.org/papers/959971f196f617dddc0e7d8333ff22b7) CloudnetPy is a Python software for producing vertical profiles of cloud properties from ground-based remote sensing measurements. The Cloudnet processing combines cloud radar, optical lidar, microwave radiometer and model data. Measurements and model data are brought into common grid and classified as ice, liquid, aerosol, insects, and so on. Then, geophysical products such as ice water content can be retrieved in the further processing steps. See [Illingworth et. al. (2007)](https://doi.org/10.1175/BAMS-88-6-883) for more details about the concept. CloudnetPy is a rewritten version of the original Cloudnet Matlab code. CloudnetPy features several revised methods, extensive documentation, and more. * CloudnetPy documentation: https://cloudnetpy.readthedocs.io/en/latest/ * Cloudnet data portal: https://cloudnet.fmi.fi ![CloudnetPy example output](https://raw.githubusercontent.com/actris-cloudnet/cloudnetpy/main/docs/source/_static/20190423_mace-head_classification.png) ## Installation ### From PyPI ``` python3 -m pip install cloudnetpy ``` ### From the source ```sh git clone https://github.com/actris-cloudnet/cloudnetpy cd cloudnetpy/ python3 -m venv venv source venv/bin/activate python3 -m pip install --upgrade pip python3 -m pip install . ``` ## Citing If you wish to acknowledge CloudnetPy in your publication, please cite: >Tukiainen et al., (2020). CloudnetPy: A Python package for processing cloud remote sensing data. Journal of Open Source Software, 5(53), 2123, https://doi.org/10.21105/joss.02123 ## Contributing We encourage you to contribute to CloudnetPy! Please check out the [contribution guidelines](CONTRIBUTING.md) about how to proceed. ## Development Follow the installation instructions from the source above but install with the test-dependencies and [pre-commit](https://pre-commit.com/) hooks: ```sh python3 -m pip install -e .[test,dev] pre-commit install ``` Run unit tests: ```sh pytest --flake-finder --flake-runs=2 ``` Run end-to-end tests: ```sh python3 tests/e2e_test.py ``` ```sh for f in cloudnetpy/model_evaluation/tests/e2e/*/main.py; do $f; done ``` Force `pre-commit` checks (`pylint`, `mypy`, etc.) for all files: ```sh pre-commit run --all ``` ## License MIT %package -n python3-cloudnetpy Summary: Python package for Cloudnet processing Provides: python-cloudnetpy BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-cloudnetpy # CloudnetPy [![CloudnetPy CI](https://github.com/actris-cloudnet/cloudnetpy/actions/workflows/test.yml/badge.svg)](https://github.com/actris-cloudnet/cloudnetpy/actions/workflows/test.yml) [![Documentation Status](https://readthedocs.org/projects/cloudnetpy/badge/?version=latest)](https://cloudnetpy.readthedocs.io/en/latest/?badge=latest) [![PyPI version](https://badge.fury.io/py/cloudnetpy.svg)](https://badge.fury.io/py/cloudnetpy) [![DOI](https://zenodo.org/badge/233602651.svg)](https://zenodo.org/badge/latestdoi/233602651) [![status](https://joss.theoj.org/papers/959971f196f617dddc0e7d8333ff22b7/status.svg)](https://joss.theoj.org/papers/959971f196f617dddc0e7d8333ff22b7) CloudnetPy is a Python software for producing vertical profiles of cloud properties from ground-based remote sensing measurements. The Cloudnet processing combines cloud radar, optical lidar, microwave radiometer and model data. Measurements and model data are brought into common grid and classified as ice, liquid, aerosol, insects, and so on. Then, geophysical products such as ice water content can be retrieved in the further processing steps. See [Illingworth et. al. (2007)](https://doi.org/10.1175/BAMS-88-6-883) for more details about the concept. CloudnetPy is a rewritten version of the original Cloudnet Matlab code. CloudnetPy features several revised methods, extensive documentation, and more. * CloudnetPy documentation: https://cloudnetpy.readthedocs.io/en/latest/ * Cloudnet data portal: https://cloudnet.fmi.fi ![CloudnetPy example output](https://raw.githubusercontent.com/actris-cloudnet/cloudnetpy/main/docs/source/_static/20190423_mace-head_classification.png) ## Installation ### From PyPI ``` python3 -m pip install cloudnetpy ``` ### From the source ```sh git clone https://github.com/actris-cloudnet/cloudnetpy cd cloudnetpy/ python3 -m venv venv source venv/bin/activate python3 -m pip install --upgrade pip python3 -m pip install . ``` ## Citing If you wish to acknowledge CloudnetPy in your publication, please cite: >Tukiainen et al., (2020). CloudnetPy: A Python package for processing cloud remote sensing data. Journal of Open Source Software, 5(53), 2123, https://doi.org/10.21105/joss.02123 ## Contributing We encourage you to contribute to CloudnetPy! Please check out the [contribution guidelines](CONTRIBUTING.md) about how to proceed. ## Development Follow the installation instructions from the source above but install with the test-dependencies and [pre-commit](https://pre-commit.com/) hooks: ```sh python3 -m pip install -e .[test,dev] pre-commit install ``` Run unit tests: ```sh pytest --flake-finder --flake-runs=2 ``` Run end-to-end tests: ```sh python3 tests/e2e_test.py ``` ```sh for f in cloudnetpy/model_evaluation/tests/e2e/*/main.py; do $f; done ``` Force `pre-commit` checks (`pylint`, `mypy`, etc.) for all files: ```sh pre-commit run --all ``` ## License MIT %package help Summary: Development documents and examples for cloudnetpy Provides: python3-cloudnetpy-doc %description help # CloudnetPy [![CloudnetPy CI](https://github.com/actris-cloudnet/cloudnetpy/actions/workflows/test.yml/badge.svg)](https://github.com/actris-cloudnet/cloudnetpy/actions/workflows/test.yml) [![Documentation Status](https://readthedocs.org/projects/cloudnetpy/badge/?version=latest)](https://cloudnetpy.readthedocs.io/en/latest/?badge=latest) [![PyPI version](https://badge.fury.io/py/cloudnetpy.svg)](https://badge.fury.io/py/cloudnetpy) [![DOI](https://zenodo.org/badge/233602651.svg)](https://zenodo.org/badge/latestdoi/233602651) [![status](https://joss.theoj.org/papers/959971f196f617dddc0e7d8333ff22b7/status.svg)](https://joss.theoj.org/papers/959971f196f617dddc0e7d8333ff22b7) CloudnetPy is a Python software for producing vertical profiles of cloud properties from ground-based remote sensing measurements. The Cloudnet processing combines cloud radar, optical lidar, microwave radiometer and model data. Measurements and model data are brought into common grid and classified as ice, liquid, aerosol, insects, and so on. Then, geophysical products such as ice water content can be retrieved in the further processing steps. See [Illingworth et. al. (2007)](https://doi.org/10.1175/BAMS-88-6-883) for more details about the concept. CloudnetPy is a rewritten version of the original Cloudnet Matlab code. CloudnetPy features several revised methods, extensive documentation, and more. * CloudnetPy documentation: https://cloudnetpy.readthedocs.io/en/latest/ * Cloudnet data portal: https://cloudnet.fmi.fi ![CloudnetPy example output](https://raw.githubusercontent.com/actris-cloudnet/cloudnetpy/main/docs/source/_static/20190423_mace-head_classification.png) ## Installation ### From PyPI ``` python3 -m pip install cloudnetpy ``` ### From the source ```sh git clone https://github.com/actris-cloudnet/cloudnetpy cd cloudnetpy/ python3 -m venv venv source venv/bin/activate python3 -m pip install --upgrade pip python3 -m pip install . ``` ## Citing If you wish to acknowledge CloudnetPy in your publication, please cite: >Tukiainen et al., (2020). CloudnetPy: A Python package for processing cloud remote sensing data. Journal of Open Source Software, 5(53), 2123, https://doi.org/10.21105/joss.02123 ## Contributing We encourage you to contribute to CloudnetPy! Please check out the [contribution guidelines](CONTRIBUTING.md) about how to proceed. ## Development Follow the installation instructions from the source above but install with the test-dependencies and [pre-commit](https://pre-commit.com/) hooks: ```sh python3 -m pip install -e .[test,dev] pre-commit install ``` Run unit tests: ```sh pytest --flake-finder --flake-runs=2 ``` Run end-to-end tests: ```sh python3 tests/e2e_test.py ``` ```sh for f in cloudnetpy/model_evaluation/tests/e2e/*/main.py; do $f; done ``` Force `pre-commit` checks (`pylint`, `mypy`, etc.) for all files: ```sh pre-commit run --all ``` ## License MIT %prep %autosetup -n cloudnetpy-1.46.5 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-cloudnetpy -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Fri May 05 2023 Python_Bot - 1.46.5-1 - Package Spec generated