![]() This library also implements a Bitap matching algorithm at the heart of a flexible matching and patching strategy.C# (CSharp) DiffMatchPatch diff_match_patch - 30 examples found. A layer of pre-diff speedups and post-diff cleanups surround the diff algorithm, improving both performance and output quality. This library implements Myer's diff algorithm which is generally considered to be the best general-purpose diff. Unidiff - The patch serialization format.Īlthough each language port of Diff Match Patch uses the same API, there are some language-specific notes.Ī standardized speed test tracks the relative performance of diffs in each language.Structured Content - How to deal with data like XML. Line or Word Diffs - Less detailed diffs.Originally built in 2006 to power Google Docs, this library is now available in C++, C#, Dart, Java, JavaScript, Lua, Objective C, and Python. Use best-effort to apply patch even when the underlying text doesn't match. Apply a list of patches onto plain text.Given a search string, find its best fuzzy match in a block of plain text.Compare two blocks of plain text and efficiently return a list of differences.Operations required for synchronizing plain text. The Diff Match and Patch libraries offer robust algorithms to perform the patch_apply ( patches, text ) Original README patch_fromText ( diff ) new_text, _ = dmp. patch_toText ( patches )Īpplying a patchset to a text can then be done with: from diff_match_patch import diff_match_patch dmp = diff_match_patch () patches = dmp. Generating a patchset (analogous to unified diff) between two texts: from diff_match_patch import diff_match_patch dmp = diff_match_patch () patches = dmp. You can install it from PyPI: python -m pip install diff-match-patch Google's Diff Match and Patch library, packaged for modern Python.ĭiff-match-patch is supported on Python 2.7 or Python 3.4 or newer. ![]()
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