%global _empty_manifest_terminate_build 0
Name:		python-qimage2ndarray
Version:	1.10.0
Release:	1
Summary:	Conversion between QImages and numpy.ndarrays.
License:	BSD License
URL:		https://github.com/hmeine/qimage2ndarray
Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/c5/c5/9c5630bcda3e2dd8445dd5c663e938451967c84d7f8707816ca9f00824db/qimage2ndarray-1.10.0.tar.gz
BuildArch:	noarch

Requires:	python3-numpy
Requires:	python3-PyQt4
Requires:	python3-PyQt5
Requires:	python3-PyQt6
Requires:	python3-PySide
Requires:	python3-PySide2
Requires:	python3-PySide6

%description
qimage2ndarray is a small python extension for quickly converting
between QImages and numpy.ndarrays (in both directions).  These are
very common tasks when programming e.g. scientific visualizations in
Python using PyQt4 as the GUI library.

* Supports conversion of scalar and RGB data, with arbitrary dtypes
  and memory layout, with and without alpha channels, into QImages
  (e.g. for display or saving using Qt).

* qimage2ndarray makes it possible to create ndarrays that are
  *views* into a given QImage's memory.

  This allows for very efficient data handling and makes it possible
  to modify Qt image data in-place (e.g. for brightness/gamma or alpha
  mask modifications).

* Masked arrays are also supported and are converted into QImages
  with transparent pixels.

* Supports recarrays (and comes with an appropriate dtype) for
  convenient access to RGB(A) channels.

* Supports value scaling / normalization to 0..255 for convenient
  display of arbitrary NumPy arrays.

* qimage2ndarray is stable and unit-tested.


%package -n python3-qimage2ndarray
Summary:	Conversion between QImages and numpy.ndarrays.
Provides:	python-qimage2ndarray
BuildRequires:	python3-devel
BuildRequires:	python3-setuptools
BuildRequires:	python3-pip
%description -n python3-qimage2ndarray
qimage2ndarray is a small python extension for quickly converting
between QImages and numpy.ndarrays (in both directions).  These are
very common tasks when programming e.g. scientific visualizations in
Python using PyQt4 as the GUI library.

* Supports conversion of scalar and RGB data, with arbitrary dtypes
  and memory layout, with and without alpha channels, into QImages
  (e.g. for display or saving using Qt).

* qimage2ndarray makes it possible to create ndarrays that are
  *views* into a given QImage's memory.

  This allows for very efficient data handling and makes it possible
  to modify Qt image data in-place (e.g. for brightness/gamma or alpha
  mask modifications).

* Masked arrays are also supported and are converted into QImages
  with transparent pixels.

* Supports recarrays (and comes with an appropriate dtype) for
  convenient access to RGB(A) channels.

* Supports value scaling / normalization to 0..255 for convenient
  display of arbitrary NumPy arrays.

* qimage2ndarray is stable and unit-tested.


%package help
Summary:	Development documents and examples for qimage2ndarray
Provides:	python3-qimage2ndarray-doc
%description help
qimage2ndarray is a small python extension for quickly converting
between QImages and numpy.ndarrays (in both directions).  These are
very common tasks when programming e.g. scientific visualizations in
Python using PyQt4 as the GUI library.

* Supports conversion of scalar and RGB data, with arbitrary dtypes
  and memory layout, with and without alpha channels, into QImages
  (e.g. for display or saving using Qt).

* qimage2ndarray makes it possible to create ndarrays that are
  *views* into a given QImage's memory.

  This allows for very efficient data handling and makes it possible
  to modify Qt image data in-place (e.g. for brightness/gamma or alpha
  mask modifications).

* Masked arrays are also supported and are converted into QImages
  with transparent pixels.

* Supports recarrays (and comes with an appropriate dtype) for
  convenient access to RGB(A) channels.

* Supports value scaling / normalization to 0..255 for convenient
  display of arbitrary NumPy arrays.

* qimage2ndarray is stable and unit-tested.


%prep
%autosetup -n qimage2ndarray-1.10.0

%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-qimage2ndarray -f filelist.lst
%dir %{python3_sitelib}/*

%files help -f doclist.lst
%{_docdir}/*

%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.10.0-1
- Package Spec generated