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|
%global _empty_manifest_terminate_build 0
Name: python-ImageD11
Version: 1.9.9
Release: 1
Summary: ImageD11
License: GPL
URL: http://github.com/jonwright/ImageD11
Source0: https://mirrors.aliyun.com/pypi/web/packages/51/87/a7fc0fbdb8bad72c85406c567c26d4375b58435c323d74fc42bb120ec5b6/ImageD11-1.9.9.tar.gz
BuildArch: noarch
%description
ImageD11 is a python code for identifying individual grains in spotty area detector X-ray diffraction images.
Version 1.9.8, Jon Wright, wright@esrf.fr
This is the source code for ImageD11. Probably you wanted a compiled version.
If your pip is up-to-date, you can try to install it like this (numpy is needed
to compile):
```
python -m pip install --upgrade pip setuptools
python -m pip install numpy
python -m pip install ImageD11
```
To get all the possible dependencies too, you can try:
`python -m pip install ImageD11[full]`
Some (dated) documentation is here: https://imaged11.readthedocs.io/
If you are at ESRF on an old linux computer you can try "module load fable".
To use from git, try this:
- Download and install python 3.7+, perhaps from www.python.org but probably from conda.
- Preload binary packages from conda (or your system package manager):
numpy, scipy, matplotlib, h5py, pillow, pycifrw, xfab, pyqt, pillow, silx[full] etc
- `pip install git+https://github.com/FABLE-3DXRD/ImageD11.git`
If you want to work with the sources then you can try like this:
```
$ python -m pip install --upgrade pip
$ git clone https://github.com/FABLE-3DXRD/ImageD11.git && cd ImageD11
$ python -m pip install --editable .
```
If you want multiple binaries in your home (on recent pythons) you can do and get the compiled code
for each platform in .so files that are labelled by platform. This is potentially useful for a
heterogenous cluster (like at ESRF):
```
# on ppc64le:
python3 -m pip install dist/ImageD11-1.9.8-cp38-cp38-linux_ppc64le.whl --user --ignore-installed
# on x86_64:
python3 -m pip install dist/ImageD11-1.9.8-cp38-cp38-linux_x86_64.whl --user --ignore-installed
# etc
# ~/.local/lib/python3.8/site-packages/ImageD11 % ls *.so
_cImageD11.cpython-38-powerpc64le-linux-gnu.so _cImageD11.cpython-38-x86_64-linux-gnu.so
```
After it is installed, you should find a script ImageD11_gui.py, somewhere in your path.
Until 2017 this code was mostly developed on sourceforge at http://sourceforge.net/projects/fable/
It is now developed at http://github.com/FABLE-3DXRD/ImageD11
Bug reports are always welcome!
Good luck!
## CI Status
Windows: [](https://ci.appveyor.com/project/jonwright/imaged11)
Linux: [](https://circleci.com/gh/jonwright/ImageD11)
Macos + Linux [](https://travis-ci.com/jonwright/ImageD11)
%package -n python3-ImageD11
Summary: ImageD11
Provides: python-ImageD11
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-ImageD11
ImageD11 is a python code for identifying individual grains in spotty area detector X-ray diffraction images.
Version 1.9.8, Jon Wright, wright@esrf.fr
This is the source code for ImageD11. Probably you wanted a compiled version.
If your pip is up-to-date, you can try to install it like this (numpy is needed
to compile):
```
python -m pip install --upgrade pip setuptools
python -m pip install numpy
python -m pip install ImageD11
```
To get all the possible dependencies too, you can try:
`python -m pip install ImageD11[full]`
Some (dated) documentation is here: https://imaged11.readthedocs.io/
If you are at ESRF on an old linux computer you can try "module load fable".
To use from git, try this:
- Download and install python 3.7+, perhaps from www.python.org but probably from conda.
- Preload binary packages from conda (or your system package manager):
numpy, scipy, matplotlib, h5py, pillow, pycifrw, xfab, pyqt, pillow, silx[full] etc
- `pip install git+https://github.com/FABLE-3DXRD/ImageD11.git`
If you want to work with the sources then you can try like this:
```
$ python -m pip install --upgrade pip
$ git clone https://github.com/FABLE-3DXRD/ImageD11.git && cd ImageD11
$ python -m pip install --editable .
```
If you want multiple binaries in your home (on recent pythons) you can do and get the compiled code
for each platform in .so files that are labelled by platform. This is potentially useful for a
heterogenous cluster (like at ESRF):
```
# on ppc64le:
python3 -m pip install dist/ImageD11-1.9.8-cp38-cp38-linux_ppc64le.whl --user --ignore-installed
# on x86_64:
python3 -m pip install dist/ImageD11-1.9.8-cp38-cp38-linux_x86_64.whl --user --ignore-installed
# etc
# ~/.local/lib/python3.8/site-packages/ImageD11 % ls *.so
_cImageD11.cpython-38-powerpc64le-linux-gnu.so _cImageD11.cpython-38-x86_64-linux-gnu.so
```
After it is installed, you should find a script ImageD11_gui.py, somewhere in your path.
Until 2017 this code was mostly developed on sourceforge at http://sourceforge.net/projects/fable/
It is now developed at http://github.com/FABLE-3DXRD/ImageD11
Bug reports are always welcome!
Good luck!
## CI Status
Windows: [](https://ci.appveyor.com/project/jonwright/imaged11)
Linux: [](https://circleci.com/gh/jonwright/ImageD11)
Macos + Linux [](https://travis-ci.com/jonwright/ImageD11)
%package help
Summary: Development documents and examples for ImageD11
Provides: python3-ImageD11-doc
%description help
ImageD11 is a python code for identifying individual grains in spotty area detector X-ray diffraction images.
Version 1.9.8, Jon Wright, wright@esrf.fr
This is the source code for ImageD11. Probably you wanted a compiled version.
If your pip is up-to-date, you can try to install it like this (numpy is needed
to compile):
```
python -m pip install --upgrade pip setuptools
python -m pip install numpy
python -m pip install ImageD11
```
To get all the possible dependencies too, you can try:
`python -m pip install ImageD11[full]`
Some (dated) documentation is here: https://imaged11.readthedocs.io/
If you are at ESRF on an old linux computer you can try "module load fable".
To use from git, try this:
- Download and install python 3.7+, perhaps from www.python.org but probably from conda.
- Preload binary packages from conda (or your system package manager):
numpy, scipy, matplotlib, h5py, pillow, pycifrw, xfab, pyqt, pillow, silx[full] etc
- `pip install git+https://github.com/FABLE-3DXRD/ImageD11.git`
If you want to work with the sources then you can try like this:
```
$ python -m pip install --upgrade pip
$ git clone https://github.com/FABLE-3DXRD/ImageD11.git && cd ImageD11
$ python -m pip install --editable .
```
If you want multiple binaries in your home (on recent pythons) you can do and get the compiled code
for each platform in .so files that are labelled by platform. This is potentially useful for a
heterogenous cluster (like at ESRF):
```
# on ppc64le:
python3 -m pip install dist/ImageD11-1.9.8-cp38-cp38-linux_ppc64le.whl --user --ignore-installed
# on x86_64:
python3 -m pip install dist/ImageD11-1.9.8-cp38-cp38-linux_x86_64.whl --user --ignore-installed
# etc
# ~/.local/lib/python3.8/site-packages/ImageD11 % ls *.so
_cImageD11.cpython-38-powerpc64le-linux-gnu.so _cImageD11.cpython-38-x86_64-linux-gnu.so
```
After it is installed, you should find a script ImageD11_gui.py, somewhere in your path.
Until 2017 this code was mostly developed on sourceforge at http://sourceforge.net/projects/fable/
It is now developed at http://github.com/FABLE-3DXRD/ImageD11
Bug reports are always welcome!
Good luck!
## CI Status
Windows: [](https://ci.appveyor.com/project/jonwright/imaged11)
Linux: [](https://circleci.com/gh/jonwright/ImageD11)
Macos + Linux [](https://travis-ci.com/jonwright/ImageD11)
%prep
%autosetup -n ImageD11-1.9.9
%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-ImageD11 -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.9.9-1
- Package Spec generated
|
