automatic import of python-fpzip

3 files changed, 230 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/fpzip-1.2.1.tar.gz
diff --git a/python-fpzip.spec b/python-fpzip.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-fpzip
+Version:	1.2.1
+Release:	1
+Summary:	Numpy wrapper for fpzip algorithm (P. Lindstrom & M. Isenburg, 2006)
+License:	None
+URL:		https://github.com/seung-lab/fpzip/
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/dd/55/ef3936a4cd19992be7ef8baec33efcca52151df085d6e1801246ef8d9ebc/fpzip-1.2.1.tar.gz
+
+Requires:	python3-numpy
+
+%description
+[![PyPI version](https://badge.fury.io/py/fpzip.svg)](https://badge.fury.io/py/fpzip)
+
+# fpzip
+
+fpzip is a compression algorithm supporting lossless and lossy encoding for up to 4 dimensional floating point data. This package contains Python C++ bindings for the fpzip algorithm (version 1.3.0). The version number for this package is independent. Python 3.7+ is supported.
+
+```python
+import fpzip
+import numpy as np
+
+data = np.array(..., dtype=np.float32) # up to 4d float or double array
+# Compress data losslessly, interpreting the underlying buffer in C (default) or F order.
+compressed_bytes = fpzip.compress(data, precision=0, order='C') # returns byte string
+# Back to 3d or 4d float or double array, decode as C (default) or F order.
+data_again = fpzip.decompress(compressed_bytes, order='C') 
+```
+
+## Installation
+
+#### `pip` Binary Installation  
+
+```bash
+pip install fpzip
+```
+
+If we have a precompiled binary available the above command should just work. However, if you have to compile from sounce, it's unfortunately necessary to install numpy first because of a quirk in the Python installation procedure that won't easily recognize when a numpy installation completes in the same process. There are some hacks, but I haven't gotten them to work.
+
+#### `pip` Source Installation
+
+*Requires C++ compiler.*
+
+```bash
+pip install numpy
+pip install fpzip
+```
+
+#### Direct Installation
+
+*Requires C++ compiler.*  
+
+```bash
+$ pip install numpy
+$ python setup.py develop
+```
+
+## References
+
+Algorithm and C++ code by Peter Lindstrom and Martin Isenburg. Cython interface code by William Silversmith. Check out [Dr. Lindstrom's site](https://computing.llnl.gov/projects/fpzip) or the [fpzip Github page](https://github.com/LLNL/fpzip).
+
+1. Peter Lindstrom and Martin Isenburg, "[Fast and Efficient Compression of Floating-Point Data,](https://www.researchgate.net/publication/6715625_Fast_and_Efficient_Compression_of_Floating-Point_Data)" IEEE Transactions on Visualization and Computer Graphics, 12(5):1245-1250, September-October 2006, doi:[10.1109/TVCG.2006.143](http://dx.doi.org/10.1109/TVCG.2006.143).
+
+
+
+%package -n python3-fpzip
+Summary:	Numpy wrapper for fpzip algorithm (P. Lindstrom & M. Isenburg, 2006)
+Provides:	python-fpzip
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-cffi
+BuildRequires:	gcc
+BuildRequires:	gdb
+%description -n python3-fpzip
+[![PyPI version](https://badge.fury.io/py/fpzip.svg)](https://badge.fury.io/py/fpzip)
+
+# fpzip
+
+fpzip is a compression algorithm supporting lossless and lossy encoding for up to 4 dimensional floating point data. This package contains Python C++ bindings for the fpzip algorithm (version 1.3.0). The version number for this package is independent. Python 3.7+ is supported.
+
+```python
+import fpzip
+import numpy as np
+
+data = np.array(..., dtype=np.float32) # up to 4d float or double array
+# Compress data losslessly, interpreting the underlying buffer in C (default) or F order.
+compressed_bytes = fpzip.compress(data, precision=0, order='C') # returns byte string
+# Back to 3d or 4d float or double array, decode as C (default) or F order.
+data_again = fpzip.decompress(compressed_bytes, order='C') 
+```
+
+## Installation
+
+#### `pip` Binary Installation  
+
+```bash
+pip install fpzip
+```
+
+If we have a precompiled binary available the above command should just work. However, if you have to compile from sounce, it's unfortunately necessary to install numpy first because of a quirk in the Python installation procedure that won't easily recognize when a numpy installation completes in the same process. There are some hacks, but I haven't gotten them to work.
+
+#### `pip` Source Installation
+
+*Requires C++ compiler.*
+
+```bash
+pip install numpy
+pip install fpzip
+```
+
+#### Direct Installation
+
+*Requires C++ compiler.*  
+
+```bash
+$ pip install numpy
+$ python setup.py develop
+```
+
+## References
+
+Algorithm and C++ code by Peter Lindstrom and Martin Isenburg. Cython interface code by William Silversmith. Check out [Dr. Lindstrom's site](https://computing.llnl.gov/projects/fpzip) or the [fpzip Github page](https://github.com/LLNL/fpzip).
+
+1. Peter Lindstrom and Martin Isenburg, "[Fast and Efficient Compression of Floating-Point Data,](https://www.researchgate.net/publication/6715625_Fast_and_Efficient_Compression_of_Floating-Point_Data)" IEEE Transactions on Visualization and Computer Graphics, 12(5):1245-1250, September-October 2006, doi:[10.1109/TVCG.2006.143](http://dx.doi.org/10.1109/TVCG.2006.143).
+
+
+
+%package help
+Summary:	Development documents and examples for fpzip
+Provides:	python3-fpzip-doc
+%description help
+[![PyPI version](https://badge.fury.io/py/fpzip.svg)](https://badge.fury.io/py/fpzip)
+
+# fpzip
+
+fpzip is a compression algorithm supporting lossless and lossy encoding for up to 4 dimensional floating point data. This package contains Python C++ bindings for the fpzip algorithm (version 1.3.0). The version number for this package is independent. Python 3.7+ is supported.
+
+```python
+import fpzip
+import numpy as np
+
+data = np.array(..., dtype=np.float32) # up to 4d float or double array
+# Compress data losslessly, interpreting the underlying buffer in C (default) or F order.
+compressed_bytes = fpzip.compress(data, precision=0, order='C') # returns byte string
+# Back to 3d or 4d float or double array, decode as C (default) or F order.
+data_again = fpzip.decompress(compressed_bytes, order='C') 
+```
+
+## Installation
+
+#### `pip` Binary Installation  
+
+```bash
+pip install fpzip
+```
+
+If we have a precompiled binary available the above command should just work. However, if you have to compile from sounce, it's unfortunately necessary to install numpy first because of a quirk in the Python installation procedure that won't easily recognize when a numpy installation completes in the same process. There are some hacks, but I haven't gotten them to work.
+
+#### `pip` Source Installation
+
+*Requires C++ compiler.*
+
+```bash
+pip install numpy
+pip install fpzip
+```
+
+#### Direct Installation
+
+*Requires C++ compiler.*  
+
+```bash
+$ pip install numpy
+$ python setup.py develop
+```
+
+## References
+
+Algorithm and C++ code by Peter Lindstrom and Martin Isenburg. Cython interface code by William Silversmith. Check out [Dr. Lindstrom's site](https://computing.llnl.gov/projects/fpzip) or the [fpzip Github page](https://github.com/LLNL/fpzip).
+
+1. Peter Lindstrom and Martin Isenburg, "[Fast and Efficient Compression of Floating-Point Data,](https://www.researchgate.net/publication/6715625_Fast_and_Efficient_Compression_of_Floating-Point_Data)" IEEE Transactions on Visualization and Computer Graphics, 12(5):1245-1250, September-October 2006, doi:[10.1109/TVCG.2006.143](http://dx.doi.org/10.1109/TVCG.2006.143).
+
+
+
+%prep
+%autosetup -n fpzip-1.2.1
+
+%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-fpzip -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.1-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..8e1e175
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+df832e48cca84366b72edebd42250ad1  fpzip-1.2.1.tar.gz