Simple library for merging two strings with respect to a base one
Copyright © 2020– Spyder Project Contributors
Simple Python library to perform a 3-way merge between strings, based on diff-match-patch. This library performs merges at a character level, as opposed to most VCS systems, which opt for a line-based approach.
To install three-merge, you can use both conda or pip package managers:
# Using conda (Recommended) conda install three-merge -c spyder-ide # Using pip pip install three-merge
This package depends on diff-match-patch to compute and track the differences across the source and target strings with respect to the base one.
To install and develop three-merge locally, you will need to install diff-match-patch:
# Using conda conda install diff-match-patch # Using pip pip install diff-match-patch
Then, you can install the package locally using pip:
pip install -U -e .
We use pytest to run tests as it follows:
pytest -x -v three_merge/tests
Three-merge provides a
merge function to merge changes from two strings (source, target) with respect a original string (base). This library is able to handle additions, deletions and preserved sections across both strings, while detecting and highlighting possible merge conflicts (like Git).
# Package import from three_merge import merge # Strings have non-conflicting additions base = '123456789101112' source = '0123456789101112' target = '12345678910111213' # merged = '012345678910111213' merged = merge(source, target, base) # Strings have an addition conflict base = '123456789101112' source = '123a456789101112' target = '123b456789101112' # merged = '123<<<<<<< ++ a ======= ++ b >>>>>>>456789101112' merged = merge(source, target, base) # Strings have non-conflicting addition/deletions base = '123456789101112' source = '123456789ab101112' target = '123789101112' # merged = '123789ab101112' merged = merge(source, target, base)
For more examples, please take a look at our tests.
Please see our CHANGELOG file to learn more about our new features and improvements.
We follow PEP8 and PEP257 for all Python modules. We use MyPy type annotations for all functions and classes declared on this package. Feel free to send a PR or create an issue if you have any problem/question.
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