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name: python-levenshtein
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description: Python extension for computing string edit distances and similarities
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version: 0.27.1
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url: https://github.com/rapidfuzz/Levenshtein
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license: GPL2-or-later
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architecture: any
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depends: ["gcc","glibc","python3","python-rapidfuzz"]
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make_depends: ["python-cython","python-build","python-installer","python-scikit-build-core","python-setuptools","rapidfuzz-cpp"]
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type: source
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# This is the source.sh script. It is executed by BPM in a temporary directory when compiling a source package
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# BPM Expects the source code to be extracted into the automatically created 'source' directory which can be accessed using $BPM_SOURCE
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# BPM Expects the output files to be present in the automatically created 'output' directory which can be accessed using $BPM_OUTPUT
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DOWNLOAD="https://github.com/rapidfuzz/Levenshtein/archive/refs/tags/v${BPM_PKG_VERSION}.tar.gz"
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FILENAME="${DOWNLOAD##*/}"
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# The prepare function is executed in the root of the temp directory
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# This function is used for downloading files and putting them into the correct location
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prepare() {
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wget "$DOWNLOAD"
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tar -xvf "$FILENAME" --strip-components=1 -C "$BPM_SOURCE"
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}
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# The build function is executed in the source directory
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# This function is used to compile the source code
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build() {
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python -m build --wheel --no-isolation .
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}
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# The package function is executed in the source directory
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# This function is used to move the compiled files into the output directory
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package() {
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python -m installer --destdir "$BPM_OUTPUT" --prefix=/usr dist/*.whl
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install -Dm644 COPYING "$BPM_OUTPUT"/usr/share/licenses/python-levenshtein/COPYING
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}
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