automatic import of python-pyfastnoisesimd

3 files changed, 180 insertions, 0 deletions

diff --git a/.gitignore b/.gitignore
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+/pyfastnoisesimd-0.4.2.tar.gz
diff --git a/python-pyfastnoisesimd.spec b/python-pyfastnoisesimd.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-pyfastnoisesimd
+Version:	0.4.2
+Release:	1
+Summary:	Python Fast Noise with SIMD
+License:	https://opensource.org/licenses/BSD-3-Clause
+URL:		http://github.com/robbmcleod/pyfastnoisesimd
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/66/a9/7f3e010c62593b02fcc8473df8b0487e134c4ecd4b135bc2a6ab6e003a2f/pyfastnoisesimd-0.4.2.tar.gz
+
+Requires:	python3-numpy
+Requires:	python3-setuptools
+
+%description
+PyFastNoiseSIMD is a wrapper around Jordan Peck's synthetic noise library 
+https://github.com/Auburns/FastNoise-SIMD which has been 
+accelerated with SIMD instruction sets. It may be installed via pip:
+    pip install pyfastnoisesimd
+Parallelism is further enhanced by the use of ``concurrent.futures`` to multi-thread
+the generation of noise for large arrays. Thread scaling is generally in the 
+range of 50-90 %, depending largely on the vectorized instruction set used. 
+The number of threads, defaults to the number of virtual cores on the system. The 
+ideal number of threads is typically the number of physical cores, irrespective 
+of Intel Hyperthreading®. 
+Here is a simple example to generate Perlin-style noise on a 3D rectilinear 
+grid::
+    import pyfastnoisesimd as fns
+    import numpy as np
+    shape = [512, 512, 512]
+    seed = np.random.randint(2**31)
+    N_threads = 4
+    perlin = fns.Noise(seed=seed, numWorkers=N_threads)
+    perlin.frequency = 0.02
+    perlin.noiseType = fns.NoiseType.Perlin
+    perlin.fractal.octaves = 4
+    perlin.fractal.lacunarity = 2.1
+    perlin.fractal.gain = 0.45
+    perlin.perturb.perturbType = fns.PerturbType.NoPerturb
+    result = perlin.genAsGrid(shape)
+where ``result`` is a 3D ``numpy.ndarray`` of dtype ``'float32'``. Alternatively, 
+the user can provide coordinates, which is helpful for tasks such as 
+custom bump-mapping a tessellated surface, via ``Noise.getFromCoords(coords)``. 
+More extensive examples are found in the ``examples`` folder on the Github repository.
+Parallelism is further enhanced by the use of ``concurrent.futures`` to multi-thread
+the generation of noise for large arrays. Thread scaling is generally in the 
+range of 50-90 %, depending largely on the vectorized instruction set used. 
+The number of threads, defaults to the number of virtual cores on the system. The 
+ideal number of threads is typically the number of physical cores, irrespective 
+of Intel Hyperthreading®.
+
+%package -n python3-pyfastnoisesimd
+Summary:	Python Fast Noise with SIMD
+Provides:	python-pyfastnoisesimd
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-cffi
+BuildRequires:	gcc
+BuildRequires:	gdb
+%description -n python3-pyfastnoisesimd
+PyFastNoiseSIMD is a wrapper around Jordan Peck's synthetic noise library 
+https://github.com/Auburns/FastNoise-SIMD which has been 
+accelerated with SIMD instruction sets. It may be installed via pip:
+    pip install pyfastnoisesimd
+Parallelism is further enhanced by the use of ``concurrent.futures`` to multi-thread
+the generation of noise for large arrays. Thread scaling is generally in the 
+range of 50-90 %, depending largely on the vectorized instruction set used. 
+The number of threads, defaults to the number of virtual cores on the system. The 
+ideal number of threads is typically the number of physical cores, irrespective 
+of Intel Hyperthreading®. 
+Here is a simple example to generate Perlin-style noise on a 3D rectilinear 
+grid::
+    import pyfastnoisesimd as fns
+    import numpy as np
+    shape = [512, 512, 512]
+    seed = np.random.randint(2**31)
+    N_threads = 4
+    perlin = fns.Noise(seed=seed, numWorkers=N_threads)
+    perlin.frequency = 0.02
+    perlin.noiseType = fns.NoiseType.Perlin
+    perlin.fractal.octaves = 4
+    perlin.fractal.lacunarity = 2.1
+    perlin.fractal.gain = 0.45
+    perlin.perturb.perturbType = fns.PerturbType.NoPerturb
+    result = perlin.genAsGrid(shape)
+where ``result`` is a 3D ``numpy.ndarray`` of dtype ``'float32'``. Alternatively, 
+the user can provide coordinates, which is helpful for tasks such as 
+custom bump-mapping a tessellated surface, via ``Noise.getFromCoords(coords)``. 
+More extensive examples are found in the ``examples`` folder on the Github repository.
+Parallelism is further enhanced by the use of ``concurrent.futures`` to multi-thread
+the generation of noise for large arrays. Thread scaling is generally in the 
+range of 50-90 %, depending largely on the vectorized instruction set used. 
+The number of threads, defaults to the number of virtual cores on the system. The 
+ideal number of threads is typically the number of physical cores, irrespective 
+of Intel Hyperthreading®.
+
+%package help
+Summary:	Development documents and examples for pyfastnoisesimd
+Provides:	python3-pyfastnoisesimd-doc
+%description help
+PyFastNoiseSIMD is a wrapper around Jordan Peck's synthetic noise library 
+https://github.com/Auburns/FastNoise-SIMD which has been 
+accelerated with SIMD instruction sets. It may be installed via pip:
+    pip install pyfastnoisesimd
+Parallelism is further enhanced by the use of ``concurrent.futures`` to multi-thread
+the generation of noise for large arrays. Thread scaling is generally in the 
+range of 50-90 %, depending largely on the vectorized instruction set used. 
+The number of threads, defaults to the number of virtual cores on the system. The 
+ideal number of threads is typically the number of physical cores, irrespective 
+of Intel Hyperthreading®. 
+Here is a simple example to generate Perlin-style noise on a 3D rectilinear 
+grid::
+    import pyfastnoisesimd as fns
+    import numpy as np
+    shape = [512, 512, 512]
+    seed = np.random.randint(2**31)
+    N_threads = 4
+    perlin = fns.Noise(seed=seed, numWorkers=N_threads)
+    perlin.frequency = 0.02
+    perlin.noiseType = fns.NoiseType.Perlin
+    perlin.fractal.octaves = 4
+    perlin.fractal.lacunarity = 2.1
+    perlin.fractal.gain = 0.45
+    perlin.perturb.perturbType = fns.PerturbType.NoPerturb
+    result = perlin.genAsGrid(shape)
+where ``result`` is a 3D ``numpy.ndarray`` of dtype ``'float32'``. Alternatively, 
+the user can provide coordinates, which is helpful for tasks such as 
+custom bump-mapping a tessellated surface, via ``Noise.getFromCoords(coords)``. 
+More extensive examples are found in the ``examples`` folder on the Github repository.
+Parallelism is further enhanced by the use of ``concurrent.futures`` to multi-thread
+the generation of noise for large arrays. Thread scaling is generally in the 
+range of 50-90 %, depending largely on the vectorized instruction set used. 
+The number of threads, defaults to the number of virtual cores on the system. The 
+ideal number of threads is typically the number of physical cores, irrespective 
+of Intel Hyperthreading®.
+
+%prep
+%autosetup -n pyfastnoisesimd-0.4.2
+
+%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-pyfastnoisesimd -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Thu Mar 09 2023 Python_Bot <Python_Bot@openeuler.org> - 0.4.2-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
index 0000000..6275bc1
--- /dev/null
+++ b/sources
@@ -0,0 +1 @@
+9ff625cc0111c90de3fc7c7de03dc5ea  pyfastnoisesimd-0.4.2.tar.gz