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python3-pydantic-ai-slim+groq-0.0.19-1.lbn36.noarch
This is a metapackage bringing in groq extras requires for
python3-pydantic-ai-slim.
It makes sure the dependencies are installed.
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python3-pydantic-ai-slim+logfire-0.0.19-1.lbn36.noarch
This is a metapackage bringing in logfire extras requires for
python3-pydantic-ai-slim.
It makes sure the dependencies are installed.
Located in
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BastionLinux 36
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python3-pydantic-ai-slim+mistral-0.0.19-1.lbn36.noarch
This is a metapackage bringing in mistral extras requires for
python3-pydantic-ai-slim.
It makes sure the dependencies are installed.
Located in
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BastionLinux 36
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python3-pydantic-ai-slim+openai-0.0.19-1.lbn36.noarch
This is a metapackage bringing in openai extras requires for
python3-pydantic-ai-slim.
It makes sure the dependencies are installed.
Located in
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BastionLinux 36
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python3-pydantic-ai-slim+vertexai-0.0.19-1.lbn36.noarch
This is a metapackage bringing in vertexai extras requires for
python3-pydantic-ai-slim.
It makes sure the dependencies are installed.
Located in
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BastionLinux 36
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python3-pydantic-graph-0.0.19-1.lbn36.noarch
pydantic-graph
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python3-rapidfuzz-3.12.2-1.lbn36.x86_64
RapidFuzz is a fast string matching library for Python and C++, which is using
the string similarity calculations from FuzzyWuzzy. However there are a couple
of aspects that set RapidFuzz apart from FuzzyWuzzy:
- It is MIT licensed so it can be used whichever License you might want
to choose for your project, while you're forced to adopt the GPL license when
using FuzzyWuzzy
- It provides many string_metrics like hamming or jaro_winkler, which
are not included in FuzzyWuzzy
- It is mostly written in C++ and on top of this comes with a lot of Algorithmic
improvements to make string matching even faster, while still providing the same
results. For detailed benchmarks check the documentation
- Fixes multiple bugs in the partial_ratio implementation
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python3-scikit-build-0.18.1-2.lbn36.noarch
Improved build system generator for CPython C/C++/Fortran/Cython extensions.
Better support is available for additional compilers, build systems, cross
compilation, and locating dependencies and determining their build requirements.
The scikit-build package is fundamentally just glue between the setup-tools
Python module and CMake.
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BastionLinux 36
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python3-scikit-build-core-0.11.0-1.lbn36.noarch
A next generation Python CMake adapter and Python API for plugins
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python3-scikit-image-0.25.2-1.lbn36.x86_64
The scikit-image SciKit (toolkit for SciPy) extends scipy.ndimage to provide a
versatile set of image processing routines.
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BastionLinux 36