RapidFuzz/docs/conf.py

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Release v1.0.0 (#68) - all normalized string_metrics can now be used as scorer for process.extract/extractOne - Implementation of the C++ Wrapper completely refactored to make it easier to add more scorers, processors and string matching algorithms in the future. - increased test coverage, that already helped to fix some bugs and help to prevent regressions in the future - improved docstrings of functions - Added bitparallel implementation of the Levenshtein distance for the weights (1,1,1) and (1,1,2). - Added specialized implementation of the Levenshtein distance for cases with a small maximum edit distance, that is even faster, than the bitparallel implementation. - Improved performance of `fuzz.partial_ratio` -> Since `fuzz.ratio` and `fuzz.partial_ratio` are used in most scorers, this improves the overall performance. - Improved performance of `process.extract` and `process.extractOne` - the `rapidfuzz.levenshtein` module is now deprecated and will be removed in v2.0.0 These functions are now placed in `rapidfuzz.string_metric`. `distance`, `normalized_distance`, `weighted_distance` and `weighted_normalized_distance` are combined into `levenshtein` and `normalized_levenshtein`. - added normalized version of the hamming distance in `string_metric.normalized_hamming` - process.extract_iter as a generator, that yields the similarity of all elements, that have a similarity >= score_cutoff - multiple bugs in extractOne when used with a scorer, thats not from RapidFuzz - fixed bug in `token_ratio` - fixed bug in result normalisation causing zero division
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# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If extensions (or modules to document with autodoc) are in another directory,
# add these directories to sys.path here. If the directory is relative to the
# documentation root, use os.path.abspath to make it absolute, like shown here.
#
# import os
# import sys
# sys.path.insert(0, os.path.abspath('.'))
# -- Project information -----------------------------------------------------
project = 'RapidFuzz'
copyright = '2021, Max Bachmann'
author = 'Max Bachmann'
# The full version, including alpha/beta/rc tags
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release = '2.0.1'
Release v1.0.0 (#68) - all normalized string_metrics can now be used as scorer for process.extract/extractOne - Implementation of the C++ Wrapper completely refactored to make it easier to add more scorers, processors and string matching algorithms in the future. - increased test coverage, that already helped to fix some bugs and help to prevent regressions in the future - improved docstrings of functions - Added bitparallel implementation of the Levenshtein distance for the weights (1,1,1) and (1,1,2). - Added specialized implementation of the Levenshtein distance for cases with a small maximum edit distance, that is even faster, than the bitparallel implementation. - Improved performance of `fuzz.partial_ratio` -> Since `fuzz.ratio` and `fuzz.partial_ratio` are used in most scorers, this improves the overall performance. - Improved performance of `process.extract` and `process.extractOne` - the `rapidfuzz.levenshtein` module is now deprecated and will be removed in v2.0.0 These functions are now placed in `rapidfuzz.string_metric`. `distance`, `normalized_distance`, `weighted_distance` and `weighted_normalized_distance` are combined into `levenshtein` and `normalized_levenshtein`. - added normalized version of the hamming distance in `string_metric.normalized_hamming` - process.extract_iter as a generator, that yields the similarity of all elements, that have a similarity >= score_cutoff - multiple bugs in extractOne when used with a scorer, thats not from RapidFuzz - fixed bug in `token_ratio` - fixed bug in result normalisation causing zero division
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# -- General configuration ---------------------------------------------------
# Add any Sphinx extension module names here, as strings. They can be
# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
# ones.
extensions = [
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'sphinx.ext.autodoc', 'sphinx.ext.napoleon', 'sphinxcontrib.bibtex', 'm2r2'
Release v1.0.0 (#68) - all normalized string_metrics can now be used as scorer for process.extract/extractOne - Implementation of the C++ Wrapper completely refactored to make it easier to add more scorers, processors and string matching algorithms in the future. - increased test coverage, that already helped to fix some bugs and help to prevent regressions in the future - improved docstrings of functions - Added bitparallel implementation of the Levenshtein distance for the weights (1,1,1) and (1,1,2). - Added specialized implementation of the Levenshtein distance for cases with a small maximum edit distance, that is even faster, than the bitparallel implementation. - Improved performance of `fuzz.partial_ratio` -> Since `fuzz.ratio` and `fuzz.partial_ratio` are used in most scorers, this improves the overall performance. - Improved performance of `process.extract` and `process.extractOne` - the `rapidfuzz.levenshtein` module is now deprecated and will be removed in v2.0.0 These functions are now placed in `rapidfuzz.string_metric`. `distance`, `normalized_distance`, `weighted_distance` and `weighted_normalized_distance` are combined into `levenshtein` and `normalized_levenshtein`. - added normalized version of the hamming distance in `string_metric.normalized_hamming` - process.extract_iter as a generator, that yields the similarity of all elements, that have a similarity >= score_cutoff - multiple bugs in extractOne when used with a scorer, thats not from RapidFuzz - fixed bug in `token_ratio` - fixed bug in result normalisation causing zero division
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]
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bibtex_bibfiles = ['refs.bib']
Release v1.0.0 (#68) - all normalized string_metrics can now be used as scorer for process.extract/extractOne - Implementation of the C++ Wrapper completely refactored to make it easier to add more scorers, processors and string matching algorithms in the future. - increased test coverage, that already helped to fix some bugs and help to prevent regressions in the future - improved docstrings of functions - Added bitparallel implementation of the Levenshtein distance for the weights (1,1,1) and (1,1,2). - Added specialized implementation of the Levenshtein distance for cases with a small maximum edit distance, that is even faster, than the bitparallel implementation. - Improved performance of `fuzz.partial_ratio` -> Since `fuzz.ratio` and `fuzz.partial_ratio` are used in most scorers, this improves the overall performance. - Improved performance of `process.extract` and `process.extractOne` - the `rapidfuzz.levenshtein` module is now deprecated and will be removed in v2.0.0 These functions are now placed in `rapidfuzz.string_metric`. `distance`, `normalized_distance`, `weighted_distance` and `weighted_normalized_distance` are combined into `levenshtein` and `normalized_levenshtein`. - added normalized version of the hamming distance in `string_metric.normalized_hamming` - process.extract_iter as a generator, that yields the similarity of all elements, that have a similarity >= score_cutoff - multiple bugs in extractOne when used with a scorer, thats not from RapidFuzz - fixed bug in `token_ratio` - fixed bug in result normalisation causing zero division
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# Add any paths that contain templates here, relative to this directory.
templates_path = ['_templates']
# List of patterns, relative to source directory, that match files and
# directories to ignore when looking for source files.
# This pattern also affects html_static_path and html_extra_path.
exclude_patterns = []
# -- Options for HTML output -------------------------------------------------
# The theme to use for HTML and HTML Help pages. See the documentation for
# a list of builtin themes.
#
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html_theme = 'furo'
pygments_style = "monokai"
pygments_dark_style = "monokai"
Release v1.0.0 (#68) - all normalized string_metrics can now be used as scorer for process.extract/extractOne - Implementation of the C++ Wrapper completely refactored to make it easier to add more scorers, processors and string matching algorithms in the future. - increased test coverage, that already helped to fix some bugs and help to prevent regressions in the future - improved docstrings of functions - Added bitparallel implementation of the Levenshtein distance for the weights (1,1,1) and (1,1,2). - Added specialized implementation of the Levenshtein distance for cases with a small maximum edit distance, that is even faster, than the bitparallel implementation. - Improved performance of `fuzz.partial_ratio` -> Since `fuzz.ratio` and `fuzz.partial_ratio` are used in most scorers, this improves the overall performance. - Improved performance of `process.extract` and `process.extractOne` - the `rapidfuzz.levenshtein` module is now deprecated and will be removed in v2.0.0 These functions are now placed in `rapidfuzz.string_metric`. `distance`, `normalized_distance`, `weighted_distance` and `weighted_normalized_distance` are combined into `levenshtein` and `normalized_levenshtein`. - added normalized version of the hamming distance in `string_metric.normalized_hamming` - process.extract_iter as a generator, that yields the similarity of all elements, that have a similarity >= score_cutoff - multiple bugs in extractOne when used with a scorer, thats not from RapidFuzz - fixed bug in `token_ratio` - fixed bug in result normalisation causing zero division
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# Add any paths that contain custom static files (such as style sheets) here,
# relative to this directory. They are copied after the builtin static files,
# so a file named "default.css" will overwrite the builtin "default.css".
html_static_path = ['_static']
napoleon_google_docstring = False
# -- Extension configuration -------------------------------------------------