diff options
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-zarr.spec | 436 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 438 insertions, 0 deletions
@@ -0,0 +1 @@ +/zarr-2.14.2.tar.gz diff --git a/python-zarr.spec b/python-zarr.spec new file mode 100644 index 0000000..081b6c0 --- /dev/null +++ b/python-zarr.spec @@ -0,0 +1,436 @@ +%global _empty_manifest_terminate_build 0 +Name: python-zarr +Version: 2.14.2 +Release: 1 +Summary: An implementation of chunked, compressed, N-dimensional arrays for Python +License: MIT +URL: https://github.com/zarr-developers/zarr-python +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/bd/12/cf2edf7da7a9bcd3c204d2723ec615dc3dc7ef1533bd4c84a165d20f0980/zarr-2.14.2.tar.gz +BuildArch: noarch + +Requires: python3-asciitree +Requires: python3-numpy +Requires: python3-fasteners +Requires: python3-numcodecs +Requires: python3-notebook +Requires: python3-ipytree +Requires: python3-ipywidgets + +%description +<div align="center"> + <img src="https://raw.githubusercontent.com/zarr-developers/community/main/logos/logo2.png"><br> +</div> + +# Zarr + +<table> +<tr> + <td>Latest Release</td> + <td> + <a href="https://pypi.org/project/zarr/"> + <img src="https://badge.fury.io/py/zarr.svg" alt="latest release" /> + </a> + </td> +</tr> + <td></td> + <td> + <a href="https://anaconda.org/anaconda/zarr/"> + <img src="https://anaconda.org/conda-forge/zarr/badges/version.svg" alt="latest release" /> + </a> +</td> +</tr> +<tr> + <td>Package Status</td> + <td> + <a href="https://pypi.org/project/zarr/"> + <img src="https://img.shields.io/pypi/status/zarr.svg" alt="status" /> + </a> + </td> +</tr> +<tr> + <td>License</td> + <td> + <a href="https://github.com/zarr-developers/zarr-python/blob/main/LICENSE.txt"> + <img src="https://img.shields.io/pypi/l/zarr.svg" alt="license" /> + </a> +</td> +</tr> +<tr> + <td>Build Status</td> + <td> + <a href="https://github.com/zarr-developers/zarr-python/blob/main/.github/workflows/python-package.yml"> + <img src="https://github.com/zarr-developers/zarr-python/actions/workflows/python-package.yml/badge.svg" alt="build status" /> + </a> + </td> +</tr> +<tr> + <td>Pre-commit Status</td> + <td> + <a href=""https://github.com/zarr-developers/zarr-python/blob/main/.pre-commit-config.yaml"> + <img src="https://results.pre-commit.ci/badge/github/zarr-developers/zarr-python/main.svg" alt="pre-commit status" /> + </a> + </td> +</tr> + +<tr> + <td>Coverage</td> + <td> + <a href="https://codecov.io/gh/zarr-developers/zarr-python"> + <img src="https://codecov.io/gh/zarr-developers/zarr-python/branch/main/graph/badge.svg"/ alt="coverage"> + </a> + </td> +</tr> +<tr> + <td>Downloads</td> + <td> + <a href="https://zarr.readthedocs.io"> + <img src="https://pepy.tech/badge/zarr" alt="pypi downloads" /> + </a> + </td> +</tr> +<tr> + <td>Gitter</td> + <td> + <a href="https://gitter.im/zarr-developers/community"> + <img src="https://badges.gitter.im/zarr-developers/community.svg" /> + </a> + </td> +</tr> +<tr> + <td>Citation</td> + <td> + <a href="https://doi.org/10.5281/zenodo.3773450"> + <img src="https://zenodo.org/badge/DOI/10.5281/zenodo.3773450.svg" alt="DOI"> + </a> + </td> +</tr> + +</table> + +## What is it? + +Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. See the [documentation](https://zarr.readthedocs.io) for more information. + +## Main Features + +- [**Create**](https://zarr.readthedocs.io/en/stable/tutorial.html#creating-an-array) N-dimensional arrays with any NumPy `dtype`. +- [**Chunk arrays**](https://zarr.readthedocs.io/en/stable/tutorial.html#chunk-optimizations) along any dimension. +- [**Compress**](https://zarr.readthedocs.io/en/stable/tutorial.html#compressors) and/or filter chunks using any NumCodecs codec. +- [**Store arrays**](https://zarr.readthedocs.io/en/stable/tutorial.html#tutorial-storage) in memory, on disk, inside a zip file, on S3, etc... +- [**Read**](https://zarr.readthedocs.io/en/stable/tutorial.html#reading-and-writing-data) an array [**concurrently**](https://zarr.readthedocs.io/en/stable/tutorial.html#parallel-computing-and-synchronization) from multiple threads or processes. +- Write to an array concurrently from multiple threads or processes. +- Organize arrays into hierarchies via [**groups**](https://zarr.readthedocs.io/en/stable/tutorial.html#groups). + +## Where to get it + +Zarr can be installed from PyPI using `pip`: + +```bash +pip install zarr +``` + +or via `conda`: + +```bash +conda install -c conda-forge zarr +``` + +For more details, including how to install from source, see the [installation documentation](https://zarr.readthedocs.io/en/stable/index.html#installation). + + +%package -n python3-zarr +Summary: An implementation of chunked, compressed, N-dimensional arrays for Python +Provides: python-zarr +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-zarr +<div align="center"> + <img src="https://raw.githubusercontent.com/zarr-developers/community/main/logos/logo2.png"><br> +</div> + +# Zarr + +<table> +<tr> + <td>Latest Release</td> + <td> + <a href="https://pypi.org/project/zarr/"> + <img src="https://badge.fury.io/py/zarr.svg" alt="latest release" /> + </a> + </td> +</tr> + <td></td> + <td> + <a href="https://anaconda.org/anaconda/zarr/"> + <img src="https://anaconda.org/conda-forge/zarr/badges/version.svg" alt="latest release" /> + </a> +</td> +</tr> +<tr> + <td>Package Status</td> + <td> + <a href="https://pypi.org/project/zarr/"> + <img src="https://img.shields.io/pypi/status/zarr.svg" alt="status" /> + </a> + </td> +</tr> +<tr> + <td>License</td> + <td> + <a href="https://github.com/zarr-developers/zarr-python/blob/main/LICENSE.txt"> + <img src="https://img.shields.io/pypi/l/zarr.svg" alt="license" /> + </a> +</td> +</tr> +<tr> + <td>Build Status</td> + <td> + <a href="https://github.com/zarr-developers/zarr-python/blob/main/.github/workflows/python-package.yml"> + <img src="https://github.com/zarr-developers/zarr-python/actions/workflows/python-package.yml/badge.svg" alt="build status" /> + </a> + </td> +</tr> +<tr> + <td>Pre-commit Status</td> + <td> + <a href=""https://github.com/zarr-developers/zarr-python/blob/main/.pre-commit-config.yaml"> + <img src="https://results.pre-commit.ci/badge/github/zarr-developers/zarr-python/main.svg" alt="pre-commit status" /> + </a> + </td> +</tr> + +<tr> + <td>Coverage</td> + <td> + <a href="https://codecov.io/gh/zarr-developers/zarr-python"> + <img src="https://codecov.io/gh/zarr-developers/zarr-python/branch/main/graph/badge.svg"/ alt="coverage"> + </a> + </td> +</tr> +<tr> + <td>Downloads</td> + <td> + <a href="https://zarr.readthedocs.io"> + <img src="https://pepy.tech/badge/zarr" alt="pypi downloads" /> + </a> + </td> +</tr> +<tr> + <td>Gitter</td> + <td> + <a href="https://gitter.im/zarr-developers/community"> + <img src="https://badges.gitter.im/zarr-developers/community.svg" /> + </a> + </td> +</tr> +<tr> + <td>Citation</td> + <td> + <a href="https://doi.org/10.5281/zenodo.3773450"> + <img src="https://zenodo.org/badge/DOI/10.5281/zenodo.3773450.svg" alt="DOI"> + </a> + </td> +</tr> + +</table> + +## What is it? + +Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. See the [documentation](https://zarr.readthedocs.io) for more information. + +## Main Features + +- [**Create**](https://zarr.readthedocs.io/en/stable/tutorial.html#creating-an-array) N-dimensional arrays with any NumPy `dtype`. +- [**Chunk arrays**](https://zarr.readthedocs.io/en/stable/tutorial.html#chunk-optimizations) along any dimension. +- [**Compress**](https://zarr.readthedocs.io/en/stable/tutorial.html#compressors) and/or filter chunks using any NumCodecs codec. +- [**Store arrays**](https://zarr.readthedocs.io/en/stable/tutorial.html#tutorial-storage) in memory, on disk, inside a zip file, on S3, etc... +- [**Read**](https://zarr.readthedocs.io/en/stable/tutorial.html#reading-and-writing-data) an array [**concurrently**](https://zarr.readthedocs.io/en/stable/tutorial.html#parallel-computing-and-synchronization) from multiple threads or processes. +- Write to an array concurrently from multiple threads or processes. +- Organize arrays into hierarchies via [**groups**](https://zarr.readthedocs.io/en/stable/tutorial.html#groups). + +## Where to get it + +Zarr can be installed from PyPI using `pip`: + +```bash +pip install zarr +``` + +or via `conda`: + +```bash +conda install -c conda-forge zarr +``` + +For more details, including how to install from source, see the [installation documentation](https://zarr.readthedocs.io/en/stable/index.html#installation). + + +%package help +Summary: Development documents and examples for zarr +Provides: python3-zarr-doc +%description help +<div align="center"> + <img src="https://raw.githubusercontent.com/zarr-developers/community/main/logos/logo2.png"><br> +</div> + +# Zarr + +<table> +<tr> + <td>Latest Release</td> + <td> + <a href="https://pypi.org/project/zarr/"> + <img src="https://badge.fury.io/py/zarr.svg" alt="latest release" /> + </a> + </td> +</tr> + <td></td> + <td> + <a href="https://anaconda.org/anaconda/zarr/"> + <img src="https://anaconda.org/conda-forge/zarr/badges/version.svg" alt="latest release" /> + </a> +</td> +</tr> +<tr> + <td>Package Status</td> + <td> + <a href="https://pypi.org/project/zarr/"> + <img src="https://img.shields.io/pypi/status/zarr.svg" alt="status" /> + </a> + </td> +</tr> +<tr> + <td>License</td> + <td> + <a href="https://github.com/zarr-developers/zarr-python/blob/main/LICENSE.txt"> + <img src="https://img.shields.io/pypi/l/zarr.svg" alt="license" /> + </a> +</td> +</tr> +<tr> + <td>Build Status</td> + <td> + <a href="https://github.com/zarr-developers/zarr-python/blob/main/.github/workflows/python-package.yml"> + <img src="https://github.com/zarr-developers/zarr-python/actions/workflows/python-package.yml/badge.svg" alt="build status" /> + </a> + </td> +</tr> +<tr> + <td>Pre-commit Status</td> + <td> + <a href=""https://github.com/zarr-developers/zarr-python/blob/main/.pre-commit-config.yaml"> + <img src="https://results.pre-commit.ci/badge/github/zarr-developers/zarr-python/main.svg" alt="pre-commit status" /> + </a> + </td> +</tr> + +<tr> + <td>Coverage</td> + <td> + <a href="https://codecov.io/gh/zarr-developers/zarr-python"> + <img src="https://codecov.io/gh/zarr-developers/zarr-python/branch/main/graph/badge.svg"/ alt="coverage"> + </a> + </td> +</tr> +<tr> + <td>Downloads</td> + <td> + <a href="https://zarr.readthedocs.io"> + <img src="https://pepy.tech/badge/zarr" alt="pypi downloads" /> + </a> + </td> +</tr> +<tr> + <td>Gitter</td> + <td> + <a href="https://gitter.im/zarr-developers/community"> + <img src="https://badges.gitter.im/zarr-developers/community.svg" /> + </a> + </td> +</tr> +<tr> + <td>Citation</td> + <td> + <a href="https://doi.org/10.5281/zenodo.3773450"> + <img src="https://zenodo.org/badge/DOI/10.5281/zenodo.3773450.svg" alt="DOI"> + </a> + </td> +</tr> + +</table> + +## What is it? + +Zarr is a Python package providing an implementation of compressed, chunked, N-dimensional arrays, designed for use in parallel computing. See the [documentation](https://zarr.readthedocs.io) for more information. + +## Main Features + +- [**Create**](https://zarr.readthedocs.io/en/stable/tutorial.html#creating-an-array) N-dimensional arrays with any NumPy `dtype`. +- [**Chunk arrays**](https://zarr.readthedocs.io/en/stable/tutorial.html#chunk-optimizations) along any dimension. +- [**Compress**](https://zarr.readthedocs.io/en/stable/tutorial.html#compressors) and/or filter chunks using any NumCodecs codec. +- [**Store arrays**](https://zarr.readthedocs.io/en/stable/tutorial.html#tutorial-storage) in memory, on disk, inside a zip file, on S3, etc... +- [**Read**](https://zarr.readthedocs.io/en/stable/tutorial.html#reading-and-writing-data) an array [**concurrently**](https://zarr.readthedocs.io/en/stable/tutorial.html#parallel-computing-and-synchronization) from multiple threads or processes. +- Write to an array concurrently from multiple threads or processes. +- Organize arrays into hierarchies via [**groups**](https://zarr.readthedocs.io/en/stable/tutorial.html#groups). + +## Where to get it + +Zarr can be installed from PyPI using `pip`: + +```bash +pip install zarr +``` + +or via `conda`: + +```bash +conda install -c conda-forge zarr +``` + +For more details, including how to install from source, see the [installation documentation](https://zarr.readthedocs.io/en/stable/index.html#installation). + + +%prep +%autosetup -n zarr-2.14.2 + +%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-zarr -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Thu Mar 09 2023 Python_Bot <Python_Bot@openeuler.org> - 2.14.2-1 +- Package Spec generated @@ -0,0 +1 @@ +57cafb5b6201b3a5865d2fdc0069a878 zarr-2.14.2.tar.gz |