%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
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2.14.2-1
- Package Spec generated