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|
%global _empty_manifest_terminate_build 0
Name: python-h5grove
Version: 1.3.0
Release: 1
Summary: Core utilities to serve HDF5 file contents
License: MIT
URL: https://github.com/silx-kit/h5grove
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/96/02/8b271bb55280a187cb771853b2d70274dd197349f86bdd5cf21ced12dbfb/h5grove-1.3.0.tar.gz
BuildArch: noarch
Requires: python3-numpy
Requires: python3-orjson
Requires: python3-h5py
Requires: python3-tifffile
Requires: python3-black
Requires: python3-bump2version
Requires: python3-check-manifest
Requires: python3-flake8
Requires: python3-h5grove[fastapi]
Requires: python3-h5grove[flask]
Requires: python3-invoke
Requires: python3-mypy
Requires: python3-myst-parser
Requires: python3-httpx
Requires: python3-pytest
Requires: python3-pytest-benchmark
Requires: python3-pytest-cov
Requires: python3-pytest-tornado
Requires: python3-sphinx
Requires: python3-sphinx-argparse
Requires: python3-h5grove[tornado]
Requires: python3-types-contextvars
Requires: python3-types-dataclasses
Requires: python3-types-orjson
Requires: python3-types-pkg-resources
Requires: python3-fastapi
Requires: python3-uvicorn
Requires: python3-Flask
Requires: python3-Flask-Compress
Requires: python3-Flask-Cors
Requires: python3-tornado
%description
# h5grove, core utilities to serve HDF5 file contents
**h5grove** is a Python package that provides utilities to design backends serving HDF5 file content: attributes, metadata and data. HDF5 files are accessed with [h5py](https://github.com/h5py/).
## Documentation
The documentation of the latest release is available [here](https://silx-kit.github.io/h5grove/).
## Rationale
There are several packages out there that can serve HDF5 files. However, they are dedicated to their usecases and settle on one implementation, hampering reusability.
In addition, some problems arise constantly when designing HDF5 backends. To name a few:
- Resolving external links
- Dealing with compression and slicing of datasets
- Encoding data efficiently and consistently (looking at you, `NaN`, `Infinity` in JSON)
**h5grove** aims at providing building blocks that solve these common problems and can be reused in existing or new backends.
## Installation
```bash
pip install h5grove
```
You can use **h5grove** low-level utilities whatever the backend implementation you choose. Additional utilities are provided for several Python web frameworks but require additional packages that can be installed the following way:
- [FastAPI](https://fastapi.tiangolo.com/)
```bash
pip install h5grove[fastapi]
```
- [Flask](https://flask.palletsprojects.com/en/)
```bash
pip install h5grove[flask]
```
- [Tornado](https://www.tornadoweb.org/en/stable/)
```bash
pip install h5grove[tornado]
```
%package -n python3-h5grove
Summary: Core utilities to serve HDF5 file contents
Provides: python-h5grove
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-h5grove
# h5grove, core utilities to serve HDF5 file contents
**h5grove** is a Python package that provides utilities to design backends serving HDF5 file content: attributes, metadata and data. HDF5 files are accessed with [h5py](https://github.com/h5py/).
## Documentation
The documentation of the latest release is available [here](https://silx-kit.github.io/h5grove/).
## Rationale
There are several packages out there that can serve HDF5 files. However, they are dedicated to their usecases and settle on one implementation, hampering reusability.
In addition, some problems arise constantly when designing HDF5 backends. To name a few:
- Resolving external links
- Dealing with compression and slicing of datasets
- Encoding data efficiently and consistently (looking at you, `NaN`, `Infinity` in JSON)
**h5grove** aims at providing building blocks that solve these common problems and can be reused in existing or new backends.
## Installation
```bash
pip install h5grove
```
You can use **h5grove** low-level utilities whatever the backend implementation you choose. Additional utilities are provided for several Python web frameworks but require additional packages that can be installed the following way:
- [FastAPI](https://fastapi.tiangolo.com/)
```bash
pip install h5grove[fastapi]
```
- [Flask](https://flask.palletsprojects.com/en/)
```bash
pip install h5grove[flask]
```
- [Tornado](https://www.tornadoweb.org/en/stable/)
```bash
pip install h5grove[tornado]
```
%package help
Summary: Development documents and examples for h5grove
Provides: python3-h5grove-doc
%description help
# h5grove, core utilities to serve HDF5 file contents
**h5grove** is a Python package that provides utilities to design backends serving HDF5 file content: attributes, metadata and data. HDF5 files are accessed with [h5py](https://github.com/h5py/).
## Documentation
The documentation of the latest release is available [here](https://silx-kit.github.io/h5grove/).
## Rationale
There are several packages out there that can serve HDF5 files. However, they are dedicated to their usecases and settle on one implementation, hampering reusability.
In addition, some problems arise constantly when designing HDF5 backends. To name a few:
- Resolving external links
- Dealing with compression and slicing of datasets
- Encoding data efficiently and consistently (looking at you, `NaN`, `Infinity` in JSON)
**h5grove** aims at providing building blocks that solve these common problems and can be reused in existing or new backends.
## Installation
```bash
pip install h5grove
```
You can use **h5grove** low-level utilities whatever the backend implementation you choose. Additional utilities are provided for several Python web frameworks but require additional packages that can be installed the following way:
- [FastAPI](https://fastapi.tiangolo.com/)
```bash
pip install h5grove[fastapi]
```
- [Flask](https://flask.palletsprojects.com/en/)
```bash
pip install h5grove[flask]
```
- [Tornado](https://www.tornadoweb.org/en/stable/)
```bash
pip install h5grove[tornado]
```
%prep
%autosetup -n h5grove-1.3.0
%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-h5grove -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu May 18 2023 Python_Bot <Python_Bot@openeuler.org> - 1.3.0-1
- Package Spec generated
|
