automatic import of python-pdqhashopeneuler20.03

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diff --git a/.gitignore b/.gitignore
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+/pdqhash-0.2.3.tar.gz
diff --git a/python-pdqhash.spec b/python-pdqhash.spec
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+%global _empty_manifest_terminate_build 0
+Name:		python-pdqhash
+Version:	0.2.3
+Release:	1
+Summary:	"Python bindings for Facebook's PDQ hash"
+License:	MIT
+URL:		https://github.com/faustomorales/pdqhash-python
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/e1/8b/7c4458eadda2a6224ea661bd835ecfe14b15f61feee2f7c2d08b06c1cdf9/pdqhash-0.2.3.tar.gz
+
+
+%description
+# pdqhash-python
+
+These are Python bindings to the PDQ perceptual hash released by Facebook. Note that the bindings are provided under the MIT license but the PDQ source code is licensed separately under its own license (see the `ThreatExchange/hashing/pdq` folder).
+
+## Installation
+
+```
+pip install pdqhash
+```
+
+## Usage
+
+```python
+import pdqhash
+
+image = cv2.imread(os.path.join('tests', 'images', image_name))
+image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+hash_vector, quality = pdqhash.compute(image)
+
+# Get all the rotations and flips in one pass.
+# hash_vectors is a list of vectors in the following order
+# - Original
+# - Rotated 90 degrees
+# - Rotated 180 degrees
+# - Rotated 270 degrees
+# - Flipped vertically
+# - Flipped horizontally
+# - Rotated 90 degrees and flipped vertically
+# - Rotated 90 degrees and flipped horizontally
+hash_vectors, quality = pdqhash.compute_dihedral(image)
+
+# Get the floating point values of the hash.
+hash_vector_float, quality = pdqhash.compute_float(image)
+```
+
+## Contributing
+
+- Set up local development using `make init` (you need to have `pipenv` installed)
+- Run tests using `make test`
+- Run tests in Docker using `make docker_test`
+
+
+%package -n python3-pdqhash
+Summary:	"Python bindings for Facebook's PDQ hash"
+Provides:	python-pdqhash
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+BuildRequires:	python3-cffi
+BuildRequires:	gcc
+BuildRequires:	gdb
+%description -n python3-pdqhash
+# pdqhash-python
+
+These are Python bindings to the PDQ perceptual hash released by Facebook. Note that the bindings are provided under the MIT license but the PDQ source code is licensed separately under its own license (see the `ThreatExchange/hashing/pdq` folder).
+
+## Installation
+
+```
+pip install pdqhash
+```
+
+## Usage
+
+```python
+import pdqhash
+
+image = cv2.imread(os.path.join('tests', 'images', image_name))
+image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+hash_vector, quality = pdqhash.compute(image)
+
+# Get all the rotations and flips in one pass.
+# hash_vectors is a list of vectors in the following order
+# - Original
+# - Rotated 90 degrees
+# - Rotated 180 degrees
+# - Rotated 270 degrees
+# - Flipped vertically
+# - Flipped horizontally
+# - Rotated 90 degrees and flipped vertically
+# - Rotated 90 degrees and flipped horizontally
+hash_vectors, quality = pdqhash.compute_dihedral(image)
+
+# Get the floating point values of the hash.
+hash_vector_float, quality = pdqhash.compute_float(image)
+```
+
+## Contributing
+
+- Set up local development using `make init` (you need to have `pipenv` installed)
+- Run tests using `make test`
+- Run tests in Docker using `make docker_test`
+
+
+%package help
+Summary:	Development documents and examples for pdqhash
+Provides:	python3-pdqhash-doc
+%description help
+# pdqhash-python
+
+These are Python bindings to the PDQ perceptual hash released by Facebook. Note that the bindings are provided under the MIT license but the PDQ source code is licensed separately under its own license (see the `ThreatExchange/hashing/pdq` folder).
+
+## Installation
+
+```
+pip install pdqhash
+```
+
+## Usage
+
+```python
+import pdqhash
+
+image = cv2.imread(os.path.join('tests', 'images', image_name))
+image = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+hash_vector, quality = pdqhash.compute(image)
+
+# Get all the rotations and flips in one pass.
+# hash_vectors is a list of vectors in the following order
+# - Original
+# - Rotated 90 degrees
+# - Rotated 180 degrees
+# - Rotated 270 degrees
+# - Flipped vertically
+# - Flipped horizontally
+# - Rotated 90 degrees and flipped vertically
+# - Rotated 90 degrees and flipped horizontally
+hash_vectors, quality = pdqhash.compute_dihedral(image)
+
+# Get the floating point values of the hash.
+hash_vector_float, quality = pdqhash.compute_float(image)
+```
+
+## Contributing
+
+- Set up local development using `make init` (you need to have `pipenv` installed)
+- Run tests using `make test`
+- Run tests in Docker using `make docker_test`
+
+
+%prep
+%autosetup -n pdqhash-0.2.3
+
+%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-pdqhash -f filelist.lst
+%dir %{python3_sitearch}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 0.2.3-1
+- Package Spec generated
diff --git a/sources b/sources
new file mode 100644
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--- /dev/null
+++ b/sources
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+3e69d1f97f48563ef17b08413fe582c3  pdqhash-0.2.3.tar.gz