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diff --git a/python-fastmat.spec b/python-fastmat.spec new file mode 100644 index 0000000..30a97ed --- /dev/null +++ b/python-fastmat.spec @@ -0,0 +1,511 @@ +%global _empty_manifest_terminate_build 0 +Name: python-fastmat +Version: 0.2.2 +Release: 1 +Summary: fast linear transforms in Python +License: Apache Software License +URL: https://ems-tu-ilmenau.github.io/fastmat/ +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/84/e7/0751cae7e9eb280e15ca01d29d3d01e3ddd3e2d4de139b046420702139c5/fastmat-0.2.2.tar.gz + +Requires: python3-six +Requires: python3-scipy + +%description +# fastmat +[](https://pypi.python.org/pypi/fastmat) +[](https://pypi.python.org/pypi/fastmat) +[](https://pypi.python.org/pypi/fastmat) +[](https://pypi.python.org/pypi/fastmat) + +[](https://pypi.python.org/pypi/fastmat) +[](https://pypi.python.org/pypi/fastmat) + +[](https://pypi.python.org/pypi/fastmat) +[](https://coveralls.io/github/EMS-TU-Ilmenau/fastmat?branch=master) +[](https://github.com/EMS-TU-Ilmenau/fastmat/issues) +[](http://fastmat.readthedocs.io/en/latest/?badge=latest) + +## Description +Scientific computing requires handling large composed or structured matrices. +Fastmat is a framework for handling large composed or structured matrices. +It allows expressing and using them in a mathematically intuitive way while +storing and handling them internally in an efficient way. This approach allows +huge savings in computational time and memory requirements compared to using +dense matrix representations. + +### Dependencies +- Python 2.7, Python >=3.5 +- Numpy >= 1.16.3 +- Scipy >= 1.0 +- Cython >= 0.29 +- soft dependencies: + - matplotlib: for demos and tools that make use of plotting functions + +### Distribution +Binary wheels are provided for Python >=3.5 for linux, windows and mac, as well as for x86 and ARM architectures. + +For all systems, for which no wheels are provided, you may still install fastmat from the soruce distribution. + +### Authors & Contact Information +- Sebastian Semper | sebastian.semper@tu-ilmenau.de + Technische Universität Ilmenau, Institute for Mathematics, EMS Group +- Christoph Wagner | christoph.wagner@tu-ilmenau.de + Technische Universität Ilmenau, Institute for Information Technology, EMS Group +- **<https://www.tu-ilmenau.de/it-ems/>** + +## Citation / Acknowledgements +If you use fastmat, or parts of it, for commercial purposes you are required +to acknowledge the use of fastmat visibly to all users of your work and put a +reference to the project and the EMS Group at TU Ilmenau. + +If you use fastmat for your scientific work you are required to mention the +EMS Group at TU Ilmenau and cite the following publication affiliated with the +project: + > Christoph W. Wagner and Sebastian Semper and Jan Kirchhof, _fastmat: Efficient linear transforms in Python_, + > SoftwareX, 2022, https://doi.org/10.1016/j.softx.2022.101013 + > + +``` + @article{Wagner_2022, + doi = {10.1016/j.softx.2022.101013}, + url = {https://doi.org/10.1016%2Fj.softx.2022.101013}, + year = {2022}, + month = {jun}, + publisher = {Elsevier {BV}}, + volume = {18}, + pages = {101013}, + author = {Christoph W. Wagner and Sebastian Semper and Jan Kirchhof}, + title = {fastmat: Efficient linear transforms in Python}, + journal = {{SoftwareX}} + } +``` + +- **<https://www.tu-ilmenau.de/it-ems/>** + +## Installation +fastmat currently supports Linux, Windows and Mac OS. Lately it also has been +seen on ARM cores coming in a Xilinx ZYNQ FPGA SoC shell. We encourage you to +go ahead trying other platforms as the aforementioned as well and are very +happy if you share your experience with us, allowing us to keep the list +updated. + +### Installing with pip: + +fastmat is included in the Python Package Index (PyPI) and can be installed +from the commandline by running one easy and straightforward command: + `pip install fastmat` + +When installing with pip all dependencies of the package will be installed +along. With release 0.1.1 python wheels will be offered for many versions +greatly improving installation time and effort. + +#### Bulding from source + +Building binaries has been developed and tested for the use + +### Manually installing from source +- download the source distribution from our github repository: + https://github.com/EMS-TU-Ilmenau/fastmat/archive/stable.zip +- unpack its contents and navigate to the project root directory +- run `pip install .` to install fastmat on your computer +- you may also install fastmat without pip, using the offered makefile: + * type `make install` to install fastmat on your computer + * If you intend to install the package locally for your user type + `make install MODE=--user` instead + * You may add a version specifier for all `make` targets that directly or indirectly invoke Python: + `make install PYTHON=python2` + `make compile PYTHON=python3` + * If you only would like to compile the package to use it from this local + directory without installing it, type `make compile` + * An uninstallation of a previously run `make install`is possible, provided the installation log file `setup.files` has been preserved + Invoking `make uninstall` without a local `setup.files` causes another installation for generating the setup file log prior to uninstalling +- **NOTE: Windows users** + If you intent on building fastmat from source on a windows platform, make sure you have installed a c compiler environment and make interpreter. One way to accomplish this is to install these tools for Python 2.7 (you may also chose different ones, of course): + * Intel Distribution for Python 2.7 + * Microsoft Visual C++ Compiler 9.0 for Python 2.7 + * GNU make for Windows 3.81 or newer + * depending on your system: The relevant header files + +## Demos +Feel free to have a look at the demos in the `demo/` directory of the source +distribution. Please make sure to have fastmat already installed when running +these. + +Please note that the edgeDetect demo requires the Python Imaging Library (PIL) +installed and the SAFT demos do compile a cython-core of a user defined matrix +class beforehand thus having a delaying the first time they're executed. + +## Documentation / HELP ! +Please have a look at the documentation, which is included in the source +distribution at github or may be built locally on your machine by running + `make doc` + +If you experience any trouble please do not hesitate to contact us or to open +an issue on our github projectpage: https://github.com/EMS-TU-Ilmenau/fastmat + +### FAQ + +Please check out our project documentation at [readthedocs](https://fastmat.readthedocs.io/). + +#### Windows: Installation fails with various "file not found" errors +Often, this is caused by missing header files. Unfortunately windows ships +without a c-compiler and the header files necessary to compile native binary +code. If you use the Intel Distribution for Python this can be resolved by +installing the Visual Studio Build tools with the version as recommended by +the version of the Intel Distribution for Python that you are using. + +#### Issue not resolved yet? +Please contact us or leave your bug report in the *issue* section. Thank You! + + +%package -n python3-fastmat +Summary: fast linear transforms in Python +Provides: python-fastmat +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +BuildRequires: python3-cffi +BuildRequires: gcc +BuildRequires: gdb +%description -n python3-fastmat +# fastmat +[](https://pypi.python.org/pypi/fastmat) +[](https://pypi.python.org/pypi/fastmat) +[](https://pypi.python.org/pypi/fastmat) +[](https://pypi.python.org/pypi/fastmat) + +[](https://pypi.python.org/pypi/fastmat) +[](https://pypi.python.org/pypi/fastmat) + +[](https://pypi.python.org/pypi/fastmat) +[](https://coveralls.io/github/EMS-TU-Ilmenau/fastmat?branch=master) +[](https://github.com/EMS-TU-Ilmenau/fastmat/issues) +[](http://fastmat.readthedocs.io/en/latest/?badge=latest) + +## Description +Scientific computing requires handling large composed or structured matrices. +Fastmat is a framework for handling large composed or structured matrices. +It allows expressing and using them in a mathematically intuitive way while +storing and handling them internally in an efficient way. This approach allows +huge savings in computational time and memory requirements compared to using +dense matrix representations. + +### Dependencies +- Python 2.7, Python >=3.5 +- Numpy >= 1.16.3 +- Scipy >= 1.0 +- Cython >= 0.29 +- soft dependencies: + - matplotlib: for demos and tools that make use of plotting functions + +### Distribution +Binary wheels are provided for Python >=3.5 for linux, windows and mac, as well as for x86 and ARM architectures. + +For all systems, for which no wheels are provided, you may still install fastmat from the soruce distribution. + +### Authors & Contact Information +- Sebastian Semper | sebastian.semper@tu-ilmenau.de + Technische Universität Ilmenau, Institute for Mathematics, EMS Group +- Christoph Wagner | christoph.wagner@tu-ilmenau.de + Technische Universität Ilmenau, Institute for Information Technology, EMS Group +- **<https://www.tu-ilmenau.de/it-ems/>** + +## Citation / Acknowledgements +If you use fastmat, or parts of it, for commercial purposes you are required +to acknowledge the use of fastmat visibly to all users of your work and put a +reference to the project and the EMS Group at TU Ilmenau. + +If you use fastmat for your scientific work you are required to mention the +EMS Group at TU Ilmenau and cite the following publication affiliated with the +project: + > Christoph W. Wagner and Sebastian Semper and Jan Kirchhof, _fastmat: Efficient linear transforms in Python_, + > SoftwareX, 2022, https://doi.org/10.1016/j.softx.2022.101013 + > + +``` + @article{Wagner_2022, + doi = {10.1016/j.softx.2022.101013}, + url = {https://doi.org/10.1016%2Fj.softx.2022.101013}, + year = {2022}, + month = {jun}, + publisher = {Elsevier {BV}}, + volume = {18}, + pages = {101013}, + author = {Christoph W. Wagner and Sebastian Semper and Jan Kirchhof}, + title = {fastmat: Efficient linear transforms in Python}, + journal = {{SoftwareX}} + } +``` + +- **<https://www.tu-ilmenau.de/it-ems/>** + +## Installation +fastmat currently supports Linux, Windows and Mac OS. Lately it also has been +seen on ARM cores coming in a Xilinx ZYNQ FPGA SoC shell. We encourage you to +go ahead trying other platforms as the aforementioned as well and are very +happy if you share your experience with us, allowing us to keep the list +updated. + +### Installing with pip: + +fastmat is included in the Python Package Index (PyPI) and can be installed +from the commandline by running one easy and straightforward command: + `pip install fastmat` + +When installing with pip all dependencies of the package will be installed +along. With release 0.1.1 python wheels will be offered for many versions +greatly improving installation time and effort. + +#### Bulding from source + +Building binaries has been developed and tested for the use + +### Manually installing from source +- download the source distribution from our github repository: + https://github.com/EMS-TU-Ilmenau/fastmat/archive/stable.zip +- unpack its contents and navigate to the project root directory +- run `pip install .` to install fastmat on your computer +- you may also install fastmat without pip, using the offered makefile: + * type `make install` to install fastmat on your computer + * If you intend to install the package locally for your user type + `make install MODE=--user` instead + * You may add a version specifier for all `make` targets that directly or indirectly invoke Python: + `make install PYTHON=python2` + `make compile PYTHON=python3` + * If you only would like to compile the package to use it from this local + directory without installing it, type `make compile` + * An uninstallation of a previously run `make install`is possible, provided the installation log file `setup.files` has been preserved + Invoking `make uninstall` without a local `setup.files` causes another installation for generating the setup file log prior to uninstalling +- **NOTE: Windows users** + If you intent on building fastmat from source on a windows platform, make sure you have installed a c compiler environment and make interpreter. One way to accomplish this is to install these tools for Python 2.7 (you may also chose different ones, of course): + * Intel Distribution for Python 2.7 + * Microsoft Visual C++ Compiler 9.0 for Python 2.7 + * GNU make for Windows 3.81 or newer + * depending on your system: The relevant header files + +## Demos +Feel free to have a look at the demos in the `demo/` directory of the source +distribution. Please make sure to have fastmat already installed when running +these. + +Please note that the edgeDetect demo requires the Python Imaging Library (PIL) +installed and the SAFT demos do compile a cython-core of a user defined matrix +class beforehand thus having a delaying the first time they're executed. + +## Documentation / HELP ! +Please have a look at the documentation, which is included in the source +distribution at github or may be built locally on your machine by running + `make doc` + +If you experience any trouble please do not hesitate to contact us or to open +an issue on our github projectpage: https://github.com/EMS-TU-Ilmenau/fastmat + +### FAQ + +Please check out our project documentation at [readthedocs](https://fastmat.readthedocs.io/). + +#### Windows: Installation fails with various "file not found" errors +Often, this is caused by missing header files. Unfortunately windows ships +without a c-compiler and the header files necessary to compile native binary +code. If you use the Intel Distribution for Python this can be resolved by +installing the Visual Studio Build tools with the version as recommended by +the version of the Intel Distribution for Python that you are using. + +#### Issue not resolved yet? +Please contact us or leave your bug report in the *issue* section. Thank You! + + +%package help +Summary: Development documents and examples for fastmat +Provides: python3-fastmat-doc +%description help +# fastmat +[](https://pypi.python.org/pypi/fastmat) +[](https://pypi.python.org/pypi/fastmat) +[](https://pypi.python.org/pypi/fastmat) +[](https://pypi.python.org/pypi/fastmat) + +[](https://pypi.python.org/pypi/fastmat) +[](https://pypi.python.org/pypi/fastmat) + +[](https://pypi.python.org/pypi/fastmat) +[](https://coveralls.io/github/EMS-TU-Ilmenau/fastmat?branch=master) +[](https://github.com/EMS-TU-Ilmenau/fastmat/issues) +[](http://fastmat.readthedocs.io/en/latest/?badge=latest) + +## Description +Scientific computing requires handling large composed or structured matrices. +Fastmat is a framework for handling large composed or structured matrices. +It allows expressing and using them in a mathematically intuitive way while +storing and handling them internally in an efficient way. This approach allows +huge savings in computational time and memory requirements compared to using +dense matrix representations. + +### Dependencies +- Python 2.7, Python >=3.5 +- Numpy >= 1.16.3 +- Scipy >= 1.0 +- Cython >= 0.29 +- soft dependencies: + - matplotlib: for demos and tools that make use of plotting functions + +### Distribution +Binary wheels are provided for Python >=3.5 for linux, windows and mac, as well as for x86 and ARM architectures. + +For all systems, for which no wheels are provided, you may still install fastmat from the soruce distribution. + +### Authors & Contact Information +- Sebastian Semper | sebastian.semper@tu-ilmenau.de + Technische Universität Ilmenau, Institute for Mathematics, EMS Group +- Christoph Wagner | christoph.wagner@tu-ilmenau.de + Technische Universität Ilmenau, Institute for Information Technology, EMS Group +- **<https://www.tu-ilmenau.de/it-ems/>** + +## Citation / Acknowledgements +If you use fastmat, or parts of it, for commercial purposes you are required +to acknowledge the use of fastmat visibly to all users of your work and put a +reference to the project and the EMS Group at TU Ilmenau. + +If you use fastmat for your scientific work you are required to mention the +EMS Group at TU Ilmenau and cite the following publication affiliated with the +project: + > Christoph W. Wagner and Sebastian Semper and Jan Kirchhof, _fastmat: Efficient linear transforms in Python_, + > SoftwareX, 2022, https://doi.org/10.1016/j.softx.2022.101013 + > + +``` + @article{Wagner_2022, + doi = {10.1016/j.softx.2022.101013}, + url = {https://doi.org/10.1016%2Fj.softx.2022.101013}, + year = {2022}, + month = {jun}, + publisher = {Elsevier {BV}}, + volume = {18}, + pages = {101013}, + author = {Christoph W. Wagner and Sebastian Semper and Jan Kirchhof}, + title = {fastmat: Efficient linear transforms in Python}, + journal = {{SoftwareX}} + } +``` + +- **<https://www.tu-ilmenau.de/it-ems/>** + +## Installation +fastmat currently supports Linux, Windows and Mac OS. Lately it also has been +seen on ARM cores coming in a Xilinx ZYNQ FPGA SoC shell. We encourage you to +go ahead trying other platforms as the aforementioned as well and are very +happy if you share your experience with us, allowing us to keep the list +updated. + +### Installing with pip: + +fastmat is included in the Python Package Index (PyPI) and can be installed +from the commandline by running one easy and straightforward command: + `pip install fastmat` + +When installing with pip all dependencies of the package will be installed +along. With release 0.1.1 python wheels will be offered for many versions +greatly improving installation time and effort. + +#### Bulding from source + +Building binaries has been developed and tested for the use + +### Manually installing from source +- download the source distribution from our github repository: + https://github.com/EMS-TU-Ilmenau/fastmat/archive/stable.zip +- unpack its contents and navigate to the project root directory +- run `pip install .` to install fastmat on your computer +- you may also install fastmat without pip, using the offered makefile: + * type `make install` to install fastmat on your computer + * If you intend to install the package locally for your user type + `make install MODE=--user` instead + * You may add a version specifier for all `make` targets that directly or indirectly invoke Python: + `make install PYTHON=python2` + `make compile PYTHON=python3` + * If you only would like to compile the package to use it from this local + directory without installing it, type `make compile` + * An uninstallation of a previously run `make install`is possible, provided the installation log file `setup.files` has been preserved + Invoking `make uninstall` without a local `setup.files` causes another installation for generating the setup file log prior to uninstalling +- **NOTE: Windows users** + If you intent on building fastmat from source on a windows platform, make sure you have installed a c compiler environment and make interpreter. One way to accomplish this is to install these tools for Python 2.7 (you may also chose different ones, of course): + * Intel Distribution for Python 2.7 + * Microsoft Visual C++ Compiler 9.0 for Python 2.7 + * GNU make for Windows 3.81 or newer + * depending on your system: The relevant header files + +## Demos +Feel free to have a look at the demos in the `demo/` directory of the source +distribution. Please make sure to have fastmat already installed when running +these. + +Please note that the edgeDetect demo requires the Python Imaging Library (PIL) +installed and the SAFT demos do compile a cython-core of a user defined matrix +class beforehand thus having a delaying the first time they're executed. + +## Documentation / HELP ! +Please have a look at the documentation, which is included in the source +distribution at github or may be built locally on your machine by running + `make doc` + +If you experience any trouble please do not hesitate to contact us or to open +an issue on our github projectpage: https://github.com/EMS-TU-Ilmenau/fastmat + +### FAQ + +Please check out our project documentation at [readthedocs](https://fastmat.readthedocs.io/). + +#### Windows: Installation fails with various "file not found" errors +Often, this is caused by missing header files. Unfortunately windows ships +without a c-compiler and the header files necessary to compile native binary +code. If you use the Intel Distribution for Python this can be resolved by +installing the Visual Studio Build tools with the version as recommended by +the version of the Intel Distribution for Python that you are using. + +#### Issue not resolved yet? +Please contact us or leave your bug report in the *issue* section. Thank You! + + +%prep +%autosetup -n fastmat-0.2.2 + +%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-fastmat -f filelist.lst +%dir %{python3_sitearch}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.2-1 +- Package Spec generated |