diff options
| author | robot-piglet <[email protected]> | 2023-12-01 16:59:11 +0300 |
|---|---|---|
| committer | robot-piglet <[email protected]> | 2023-12-01 19:54:31 +0300 |
| commit | 3715aa9254f65ae1058290101351a72a6d3a67d4 (patch) | |
| tree | 9ac5a1cdab42dfc7cd095a06a362e0681cb1482f /contrib/python/diff-match-patch/py2 | |
| parent | b20a8c04fb7e595955ca9d1b943033342b6580cb (diff) | |
Intermediate changes
Diffstat (limited to 'contrib/python/diff-match-patch/py2')
8 files changed, 0 insertions, 2482 deletions
diff --git a/contrib/python/diff-match-patch/py2/.dist-info/METADATA b/contrib/python/diff-match-patch/py2/.dist-info/METADATA deleted file mode 100644 index ea1c5718810..00000000000 --- a/contrib/python/diff-match-patch/py2/.dist-info/METADATA +++ /dev/null @@ -1,112 +0,0 @@ -Metadata-Version: 2.1 -Name: diff-match-patch -Version: 20200713 -Summary: Repackaging of Google's Diff Match and Patch libraries. Offers robust algorithms to perform the operations required for synchronizing plain text. -Home-page: https://github.com/diff-match-patch-python/diff-match-patch -Author: Neil Fraser -Author-email: [email protected] -Maintainer: John Reese -Maintainer-email: [email protected] -License: Apache -Platform: UNKNOWN -Classifier: Development Status :: 6 - Mature -Classifier: Intended Audience :: Developers -Classifier: License :: OSI Approved :: Apache Software License -Classifier: Programming Language :: Python :: 2 -Classifier: Programming Language :: Python :: 2.7 -Classifier: Programming Language :: Python :: 3 -Classifier: Programming Language :: Python :: 3.4 -Classifier: Programming Language :: Python :: 3.5 -Classifier: Programming Language :: Python :: 3.6 -Classifier: Programming Language :: Python :: 3.7 -Classifier: Topic :: Software Development :: Libraries -Classifier: Topic :: Text Processing -Requires-Python: >=2.7 -Description-Content-Type: text/markdown - -# diff-match-patch - -Google's [Diff Match and Patch][DMP] library, packaged for modern Python. - -[](https://travis-ci.org/diff-match-patch-python/diff-match-patch) -[](https://pypi.org/project/diff-match-patch) -[](https://github.com/diff-match-patch-python/diff-match-patch/blob/master/LICENSE) - -## Install - -diff-match-patch is supported on Python 2.7 or Python 3.4 or newer. -You can install it from PyPI: - -```shell -python -m pip install diff-match-patch -``` - -## Usage - -Generating a patchset (analogous to unified diff) between two texts: - -```python -from diff_match_patch import diff_match_patch - -dmp = diff_match_patch() -patches = dmp.patch_make(text1, text2) -diff = dmp.patch_toText(patches) -``` - -Applying a patchset to a text can then be done with: - -```python -from diff_match_patch import diff_match_patch - -dmp = diff_match_patch() -patches = dmp.patch_fromText(diff) -new_text, _ = dmp.patch_apply(patches, text) -``` - -## Original README -The Diff Match and Patch libraries offer robust algorithms to perform the -operations required for synchronizing plain text. - -1. Diff: - * Compare two blocks of plain text and efficiently return a list of differences. - * [Diff Demo](https://neil.fraser.name/software/diff_match_patch/demos/diff.html) -2. Match: - * Given a search string, find its best fuzzy match in a block of plain text. Weighted for both accuracy and location. - * [Match Demo](https://neil.fraser.name/software/diff_match_patch/demos/match.html) -3. Patch: - * Apply a list of patches onto plain text. Use best-effort to apply patch even when the underlying text doesn't match. - * [Patch Demo](https://neil.fraser.name/software/diff_match_patch/demos/patch.html) - -Originally built in 2006 to power Google Docs, this library is now available in C++, C#, Dart, Java, JavaScript, Lua, Objective C, and Python. - -### Reference - -* [API](https://github.com/google/diff-match-patch/wiki/API) - Common API across all languages. -* [Line or Word Diffs](https://github.com/google/diff-match-patch/wiki/Line-or-Word-Diffs) - Less detailed diffs. -* [Plain Text vs. Structured Content](https://github.com/google/diff-match-patch/wiki/Plain-Text-vs.-Structured-Content) - How to deal with data like XML. -* [Unidiff](https://github.com/google/diff-match-patch/wiki/Unidiff) - The patch serialization format. -* [Support](https://groups.google.com/forum/#!forum/diff-match-patch) - Newsgroup for developers. - -### Languages -Although each language port of Diff Match Patch uses the same API, there are some language-specific notes. - -* [C++](https://github.com/google/diff-match-patch/wiki/Language:-Cpp) -* [C#](https://github.com/google/diff-match-patch/wiki/Language:-C%23) -* [Dart](https://github.com/google/diff-match-patch/wiki/Language:-Dart) -* [Java](https://github.com/google/diff-match-patch/wiki/Language:-Java) -* [JavaScript](https://github.com/google/diff-match-patch/wiki/Language:-JavaScript) -* [Lua](https://github.com/google/diff-match-patch/wiki/Language:-Lua) -* [Objective-C](https://github.com/google/diff-match-patch/wiki/Language:-Objective-C) -* [Python](https://github.com/google/diff-match-patch/wiki/Language:-Python) - -A standardized speed test tracks the [relative performance of diffs](https://docs.google.com/spreadsheets/d/1zpZccuBpjMZTvL1nGDMKJc7rWL_m_drF4XKOJvB27Kc/edit#gid=0) in each language. - -### Algorithms -This library implements [Myer's diff algorithm](https://neil.fraser.name/writing/diff/myers.pdf) which is generally considered to be the best general-purpose diff. A layer of [pre-diff speedups and post-diff cleanups](https://neil.fraser.name/writing/diff/) surround the diff algorithm, improving both performance and output quality. - -This library also implements a [Bitap matching algorithm](https://neil.fraser.name/writing/patch/bitap.ps) at the heart of a [flexible matching and patching strategy](https://neil.fraser.name/writing/patch/). - -[DMP]: https://github.com/google/diff-match-patch -[API]: https://github.com/google/diff-match-patch/wiki/API - - diff --git a/contrib/python/diff-match-patch/py2/.dist-info/top_level.txt b/contrib/python/diff-match-patch/py2/.dist-info/top_level.txt deleted file mode 100644 index 63904d71d9c..00000000000 --- a/contrib/python/diff-match-patch/py2/.dist-info/top_level.txt +++ /dev/null @@ -1 +0,0 @@ -diff_match_patch diff --git a/contrib/python/diff-match-patch/py2/AUTHORS b/contrib/python/diff-match-patch/py2/AUTHORS deleted file mode 100644 index c82809e7265..00000000000 --- a/contrib/python/diff-match-patch/py2/AUTHORS +++ /dev/null @@ -1,10 +0,0 @@ -# Below is a list of people and organizations that have contributed -# to the Diff Match Patch project. - -Google Inc. - -Duncan Cross <[email protected]> (Lua port) -Jan Weiß <[email protected]> (Objective C port) -Matthaeus G. Chajdas <[email protected]> (C# port) -Mike Slemmer <[email protected]> (C++ port) - diff --git a/contrib/python/diff-match-patch/py2/LICENSE b/contrib/python/diff-match-patch/py2/LICENSE deleted file mode 100644 index d6456956733..00000000000 --- a/contrib/python/diff-match-patch/py2/LICENSE +++ /dev/null @@ -1,202 +0,0 @@ - - Apache License - Version 2.0, January 2004 - http://www.apache.org/licenses/ - - TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION - - 1. Definitions. - - "License" shall mean the terms and conditions for use, reproduction, - and distribution as defined by Sections 1 through 9 of this document. - - "Licensor" shall mean the copyright owner or entity authorized by - the copyright owner that is granting the License. - - "Legal Entity" shall mean the union of the acting entity and all - other entities that control, are controlled by, or are under common - control with that entity. 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We also recommend that a - file or class name and description of purpose be included on the - same "printed page" as the copyright notice for easier - identification within third-party archives. - - Copyright [yyyy] [name of copyright owner] - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. diff --git a/contrib/python/diff-match-patch/py2/README.md b/contrib/python/diff-match-patch/py2/README.md deleted file mode 100644 index 54f17337a72..00000000000 --- a/contrib/python/diff-match-patch/py2/README.md +++ /dev/null @@ -1,84 +0,0 @@ -# diff-match-patch - -Google's [Diff Match and Patch][DMP] library, packaged for modern Python. - -[](https://travis-ci.org/diff-match-patch-python/diff-match-patch) -[](https://pypi.org/project/diff-match-patch) -[](https://github.com/diff-match-patch-python/diff-match-patch/blob/master/LICENSE) - -## Install - -diff-match-patch is supported on Python 2.7 or Python 3.4 or newer. -You can install it from PyPI: - -```shell -python -m pip install diff-match-patch -``` - -## Usage - -Generating a patchset (analogous to unified diff) between two texts: - -```python -from diff_match_patch import diff_match_patch - -dmp = diff_match_patch() -patches = dmp.patch_make(text1, text2) -diff = dmp.patch_toText(patches) -``` - -Applying a patchset to a text can then be done with: - -```python -from diff_match_patch import diff_match_patch - -dmp = diff_match_patch() -patches = dmp.patch_fromText(diff) -new_text, _ = dmp.patch_apply(patches, text) -``` - -## Original README -The Diff Match and Patch libraries offer robust algorithms to perform the -operations required for synchronizing plain text. - -1. Diff: - * Compare two blocks of plain text and efficiently return a list of differences. - * [Diff Demo](https://neil.fraser.name/software/diff_match_patch/demos/diff.html) -2. Match: - * Given a search string, find its best fuzzy match in a block of plain text. Weighted for both accuracy and location. - * [Match Demo](https://neil.fraser.name/software/diff_match_patch/demos/match.html) -3. Patch: - * Apply a list of patches onto plain text. Use best-effort to apply patch even when the underlying text doesn't match. - * [Patch Demo](https://neil.fraser.name/software/diff_match_patch/demos/patch.html) - -Originally built in 2006 to power Google Docs, this library is now available in C++, C#, Dart, Java, JavaScript, Lua, Objective C, and Python. - -### Reference - -* [API](https://github.com/google/diff-match-patch/wiki/API) - Common API across all languages. -* [Line or Word Diffs](https://github.com/google/diff-match-patch/wiki/Line-or-Word-Diffs) - Less detailed diffs. -* [Plain Text vs. Structured Content](https://github.com/google/diff-match-patch/wiki/Plain-Text-vs.-Structured-Content) - How to deal with data like XML. -* [Unidiff](https://github.com/google/diff-match-patch/wiki/Unidiff) - The patch serialization format. -* [Support](https://groups.google.com/forum/#!forum/diff-match-patch) - Newsgroup for developers. - -### Languages -Although each language port of Diff Match Patch uses the same API, there are some language-specific notes. - -* [C++](https://github.com/google/diff-match-patch/wiki/Language:-Cpp) -* [C#](https://github.com/google/diff-match-patch/wiki/Language:-C%23) -* [Dart](https://github.com/google/diff-match-patch/wiki/Language:-Dart) -* [Java](https://github.com/google/diff-match-patch/wiki/Language:-Java) -* [JavaScript](https://github.com/google/diff-match-patch/wiki/Language:-JavaScript) -* [Lua](https://github.com/google/diff-match-patch/wiki/Language:-Lua) -* [Objective-C](https://github.com/google/diff-match-patch/wiki/Language:-Objective-C) -* [Python](https://github.com/google/diff-match-patch/wiki/Language:-Python) - -A standardized speed test tracks the [relative performance of diffs](https://docs.google.com/spreadsheets/d/1zpZccuBpjMZTvL1nGDMKJc7rWL_m_drF4XKOJvB27Kc/edit#gid=0) in each language. - -### Algorithms -This library implements [Myer's diff algorithm](https://neil.fraser.name/writing/diff/myers.pdf) which is generally considered to be the best general-purpose diff. A layer of [pre-diff speedups and post-diff cleanups](https://neil.fraser.name/writing/diff/) surround the diff algorithm, improving both performance and output quality. - -This library also implements a [Bitap matching algorithm](https://neil.fraser.name/writing/patch/bitap.ps) at the heart of a [flexible matching and patching strategy](https://neil.fraser.name/writing/patch/). - -[DMP]: https://github.com/google/diff-match-patch -[API]: https://github.com/google/diff-match-patch/wiki/API diff --git a/contrib/python/diff-match-patch/py2/diff_match_patch/__init__.py b/contrib/python/diff-match-patch/py2/diff_match_patch/__init__.py deleted file mode 100644 index 37e762a3b1f..00000000000 --- a/contrib/python/diff-match-patch/py2/diff_match_patch/__init__.py +++ /dev/null @@ -1,9 +0,0 @@ -import sys - -if sys.version_info >= (3, 0): - from .diff_match_patch import __author__, __doc__, diff_match_patch, patch_obj -else: - from .diff_match_patch_py2 import __author__, __doc__, diff_match_patch, patch_obj - -__version__ = "20200713" -__packager__ = "John Reese ([email protected])" diff --git a/contrib/python/diff-match-patch/py2/diff_match_patch/diff_match_patch_py2.py b/contrib/python/diff-match-patch/py2/diff_match_patch/diff_match_patch_py2.py deleted file mode 100644 index 5bfe9688a2d..00000000000 --- a/contrib/python/diff-match-patch/py2/diff_match_patch/diff_match_patch_py2.py +++ /dev/null @@ -1,2037 +0,0 @@ -#!/usr/bin/python2.4 - -from __future__ import division - -"""Diff Match and Patch -Copyright 2018 The diff-match-patch Authors. -https://github.com/google/diff-match-patch - -Licensed under the Apache License, Version 2.0 (the "License"); -you may not use this file except in compliance with the License. -You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - -Unless required by applicable law or agreed to in writing, software -distributed under the License is distributed on an "AS IS" BASIS, -WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. -See the License for the specific language governing permissions and -limitations under the License. -""" - -"""Functions for diff, match and patch. - -Computes the difference between two texts to create a patch. -Applies the patch onto another text, allowing for errors. -""" - -__author__ = "[email protected] (Neil Fraser)" - -import re -import sys -import time -import urllib - - -class diff_match_patch: - """Class containing the diff, match and patch methods. - - Also contains the behaviour settings. - """ - - def __init__(self): - """Inits a diff_match_patch object with default settings. - Redefine these in your program to override the defaults. - """ - - # Number of seconds to map a diff before giving up (0 for infinity). - self.Diff_Timeout = 1.0 - # Cost of an empty edit operation in terms of edit characters. - self.Diff_EditCost = 4 - # At what point is no match declared (0.0 = perfection, 1.0 = very loose). - self.Match_Threshold = 0.5 - # How far to search for a match (0 = exact location, 1000+ = broad match). - # A match this many characters away from the expected location will add - # 1.0 to the score (0.0 is a perfect match). - self.Match_Distance = 1000 - # When deleting a large block of text (over ~64 characters), how close do - # the contents have to be to match the expected contents. (0.0 = perfection, - # 1.0 = very loose). Note that Match_Threshold controls how closely the - # end points of a delete need to match. - self.Patch_DeleteThreshold = 0.5 - # Chunk size for context length. - self.Patch_Margin = 4 - - # The number of bits in an int. - # Python has no maximum, thus to disable patch splitting set to 0. - # However to avoid long patches in certain pathological cases, use 32. - # Multiple short patches (using native ints) are much faster than long ones. - self.Match_MaxBits = 32 - - # DIFF FUNCTIONS - - # The data structure representing a diff is an array of tuples: - # [(DIFF_DELETE, "Hello"), (DIFF_INSERT, "Goodbye"), (DIFF_EQUAL, " world.")] - # which means: delete "Hello", add "Goodbye" and keep " world." - DIFF_DELETE = -1 - DIFF_INSERT = 1 - DIFF_EQUAL = 0 - - def diff_main(self, text1, text2, checklines=True, deadline=None): - """Find the differences between two texts. Simplifies the problem by - stripping any common prefix or suffix off the texts before diffing. - - Args: - text1: Old string to be diffed. - text2: New string to be diffed. - checklines: Optional speedup flag. If present and false, then don't run - a line-level diff first to identify the changed areas. - Defaults to true, which does a faster, slightly less optimal diff. - deadline: Optional time when the diff should be complete by. Used - internally for recursive calls. Users should set DiffTimeout instead. - - Returns: - Array of changes. - """ - # Set a deadline by which time the diff must be complete. - if deadline == None: - # Unlike in most languages, Python counts time in seconds. - if self.Diff_Timeout <= 0: - deadline = sys.maxint - else: - deadline = time.time() + self.Diff_Timeout - - # Check for null inputs. - if text1 == None or text2 == None: - raise ValueError("Null inputs. (diff_main)") - - # Check for equality (speedup). - if text1 == text2: - if text1: - return [(self.DIFF_EQUAL, text1)] - return [] - - # Trim off common prefix (speedup). - commonlength = self.diff_commonPrefix(text1, text2) - commonprefix = text1[:commonlength] - text1 = text1[commonlength:] - text2 = text2[commonlength:] - - # Trim off common suffix (speedup). - commonlength = self.diff_commonSuffix(text1, text2) - if commonlength == 0: - commonsuffix = "" - else: - commonsuffix = text1[-commonlength:] - text1 = text1[:-commonlength] - text2 = text2[:-commonlength] - - # Compute the diff on the middle block. - diffs = self.diff_compute(text1, text2, checklines, deadline) - - # Restore the prefix and suffix. - if commonprefix: - diffs[:0] = [(self.DIFF_EQUAL, commonprefix)] - if commonsuffix: - diffs.append((self.DIFF_EQUAL, commonsuffix)) - self.diff_cleanupMerge(diffs) - return diffs - - def diff_compute(self, text1, text2, checklines, deadline): - """Find the differences between two texts. Assumes that the texts do not - have any common prefix or suffix. - - Args: - text1: Old string to be diffed. - text2: New string to be diffed. - checklines: Speedup flag. If false, then don't run a line-level diff - first to identify the changed areas. - If true, then run a faster, slightly less optimal diff. - deadline: Time when the diff should be complete by. - - Returns: - Array of changes. - """ - if not text1: - # Just add some text (speedup). - return [(self.DIFF_INSERT, text2)] - - if not text2: - # Just delete some text (speedup). - return [(self.DIFF_DELETE, text1)] - - if len(text1) > len(text2): - (longtext, shorttext) = (text1, text2) - else: - (shorttext, longtext) = (text1, text2) - i = longtext.find(shorttext) - if i != -1: - # Shorter text is inside the longer text (speedup). - diffs = [ - (self.DIFF_INSERT, longtext[:i]), - (self.DIFF_EQUAL, shorttext), - (self.DIFF_INSERT, longtext[i + len(shorttext) :]), - ] - # Swap insertions for deletions if diff is reversed. - if len(text1) > len(text2): - diffs[0] = (self.DIFF_DELETE, diffs[0][1]) - diffs[2] = (self.DIFF_DELETE, diffs[2][1]) - return diffs - - if len(shorttext) == 1: - # Single character string. - # After the previous speedup, the character can't be an equality. - return [(self.DIFF_DELETE, text1), (self.DIFF_INSERT, text2)] - - # Check to see if the problem can be split in two. - hm = self.diff_halfMatch(text1, text2) - if hm: - # A half-match was found, sort out the return data. - (text1_a, text1_b, text2_a, text2_b, mid_common) = hm - # Send both pairs off for separate processing. - diffs_a = self.diff_main(text1_a, text2_a, checklines, deadline) - diffs_b = self.diff_main(text1_b, text2_b, checklines, deadline) - # Merge the results. - return diffs_a + [(self.DIFF_EQUAL, mid_common)] + diffs_b - - if checklines and len(text1) > 100 and len(text2) > 100: - return self.diff_lineMode(text1, text2, deadline) - - return self.diff_bisect(text1, text2, deadline) - - def diff_lineMode(self, text1, text2, deadline): - """Do a quick line-level diff on both strings, then rediff the parts for - greater accuracy. - This speedup can produce non-minimal diffs. - - Args: - text1: Old string to be diffed. - text2: New string to be diffed. - deadline: Time when the diff should be complete by. - - Returns: - Array of changes. - """ - - # Scan the text on a line-by-line basis first. - (text1, text2, linearray) = self.diff_linesToChars(text1, text2) - - diffs = self.diff_main(text1, text2, False, deadline) - - # Convert the diff back to original text. - self.diff_charsToLines(diffs, linearray) - # Eliminate freak matches (e.g. blank lines) - self.diff_cleanupSemantic(diffs) - - # Rediff any replacement blocks, this time character-by-character. - # Add a dummy entry at the end. - diffs.append((self.DIFF_EQUAL, "")) - pointer = 0 - count_delete = 0 - count_insert = 0 - text_delete = "" - text_insert = "" - while pointer < len(diffs): - if diffs[pointer][0] == self.DIFF_INSERT: - count_insert += 1 - text_insert += diffs[pointer][1] - elif diffs[pointer][0] == self.DIFF_DELETE: - count_delete += 1 - text_delete += diffs[pointer][1] - elif diffs[pointer][0] == self.DIFF_EQUAL: - # Upon reaching an equality, check for prior redundancies. - if count_delete >= 1 and count_insert >= 1: - # Delete the offending records and add the merged ones. - subDiff = self.diff_main(text_delete, text_insert, False, deadline) - diffs[pointer - count_delete - count_insert : pointer] = subDiff - pointer = pointer - count_delete - count_insert + len(subDiff) - count_insert = 0 - count_delete = 0 - text_delete = "" - text_insert = "" - - pointer += 1 - - diffs.pop() # Remove the dummy entry at the end. - - return diffs - - def diff_bisect(self, text1, text2, deadline): - """Find the 'middle snake' of a diff, split the problem in two - and return the recursively constructed diff. - See Myers 1986 paper: An O(ND) Difference Algorithm and Its Variations. - - Args: - text1: Old string to be diffed. - text2: New string to be diffed. - deadline: Time at which to bail if not yet complete. - - Returns: - Array of diff tuples. - """ - - # Cache the text lengths to prevent multiple calls. - text1_length = len(text1) - text2_length = len(text2) - max_d = (text1_length + text2_length + 1) // 2 - v_offset = max_d - v_length = 2 * max_d - v1 = [-1] * v_length - v1[v_offset + 1] = 0 - v2 = v1[:] - delta = text1_length - text2_length - # If the total number of characters is odd, then the front path will - # collide with the reverse path. - front = delta % 2 != 0 - # Offsets for start and end of k loop. - # Prevents mapping of space beyond the grid. - k1start = 0 - k1end = 0 - k2start = 0 - k2end = 0 - for d in xrange(max_d): - # Bail out if deadline is reached. - if time.time() > deadline: - break - - # Walk the front path one step. - for k1 in xrange(-d + k1start, d + 1 - k1end, 2): - k1_offset = v_offset + k1 - if k1 == -d or (k1 != d and v1[k1_offset - 1] < v1[k1_offset + 1]): - x1 = v1[k1_offset + 1] - else: - x1 = v1[k1_offset - 1] + 1 - y1 = x1 - k1 - while ( - x1 < text1_length and y1 < text2_length and text1[x1] == text2[y1] - ): - x1 += 1 - y1 += 1 - v1[k1_offset] = x1 - if x1 > text1_length: - # Ran off the right of the graph. - k1end += 2 - elif y1 > text2_length: - # Ran off the bottom of the graph. - k1start += 2 - elif front: - k2_offset = v_offset + delta - k1 - if k2_offset >= 0 and k2_offset < v_length and v2[k2_offset] != -1: - # Mirror x2 onto top-left coordinate system. - x2 = text1_length - v2[k2_offset] - if x1 >= x2: - # Overlap detected. - return self.diff_bisectSplit(text1, text2, x1, y1, deadline) - - # Walk the reverse path one step. - for k2 in xrange(-d + k2start, d + 1 - k2end, 2): - k2_offset = v_offset + k2 - if k2 == -d or (k2 != d and v2[k2_offset - 1] < v2[k2_offset + 1]): - x2 = v2[k2_offset + 1] - else: - x2 = v2[k2_offset - 1] + 1 - y2 = x2 - k2 - while ( - x2 < text1_length - and y2 < text2_length - and text1[-x2 - 1] == text2[-y2 - 1] - ): - x2 += 1 - y2 += 1 - v2[k2_offset] = x2 - if x2 > text1_length: - # Ran off the left of the graph. - k2end += 2 - elif y2 > text2_length: - # Ran off the top of the graph. - k2start += 2 - elif not front: - k1_offset = v_offset + delta - k2 - if k1_offset >= 0 and k1_offset < v_length and v1[k1_offset] != -1: - x1 = v1[k1_offset] - y1 = v_offset + x1 - k1_offset - # Mirror x2 onto top-left coordinate system. - x2 = text1_length - x2 - if x1 >= x2: - # Overlap detected. - return self.diff_bisectSplit(text1, text2, x1, y1, deadline) - - # Diff took too long and hit the deadline or - # number of diffs equals number of characters, no commonality at all. - return [(self.DIFF_DELETE, text1), (self.DIFF_INSERT, text2)] - - def diff_bisectSplit(self, text1, text2, x, y, deadline): - """Given the location of the 'middle snake', split the diff in two parts - and recurse. - - Args: - text1: Old string to be diffed. - text2: New string to be diffed. - x: Index of split point in text1. - y: Index of split point in text2. - deadline: Time at which to bail if not yet complete. - - Returns: - Array of diff tuples. - """ - text1a = text1[:x] - text2a = text2[:y] - text1b = text1[x:] - text2b = text2[y:] - - # Compute both diffs serially. - diffs = self.diff_main(text1a, text2a, False, deadline) - diffsb = self.diff_main(text1b, text2b, False, deadline) - - return diffs + diffsb - - def diff_linesToChars(self, text1, text2): - """Split two texts into an array of strings. Reduce the texts to a string - of hashes where each Unicode character represents one line. - - Args: - text1: First string. - text2: Second string. - - Returns: - Three element tuple, containing the encoded text1, the encoded text2 and - the array of unique strings. The zeroth element of the array of unique - strings is intentionally blank. - """ - lineArray = [] # e.g. lineArray[4] == "Hello\n" - lineHash = {} # e.g. lineHash["Hello\n"] == 4 - - # "\x00" is a valid character, but various debuggers don't like it. - # So we'll insert a junk entry to avoid generating a null character. - lineArray.append("") - - def diff_linesToCharsMunge(text): - """Split a text into an array of strings. Reduce the texts to a string - of hashes where each Unicode character represents one line. - Modifies linearray and linehash through being a closure. - - Args: - text: String to encode. - - Returns: - Encoded string. - """ - chars = [] - # Walk the text, pulling out a substring for each line. - # text.split('\n') would would temporarily double our memory footprint. - # Modifying text would create many large strings to garbage collect. - lineStart = 0 - lineEnd = -1 - while lineEnd < len(text) - 1: - lineEnd = text.find("\n", lineStart) - if lineEnd == -1: - lineEnd = len(text) - 1 - line = text[lineStart : lineEnd + 1] - - if line in lineHash: - chars.append(unichr(lineHash[line])) - else: - if len(lineArray) == maxLines: - # Bail out at 65535 because unichr(65536) throws. - line = text[lineStart:] - lineEnd = len(text) - lineArray.append(line) - lineHash[line] = len(lineArray) - 1 - chars.append(unichr(len(lineArray) - 1)) - lineStart = lineEnd + 1 - return "".join(chars) - - # Allocate 2/3rds of the space for text1, the rest for text2. - maxLines = 40000 - chars1 = diff_linesToCharsMunge(text1) - maxLines = 65535 - chars2 = diff_linesToCharsMunge(text2) - return (chars1, chars2, lineArray) - - def diff_charsToLines(self, diffs, lineArray): - """Rehydrate the text in a diff from a string of line hashes to real lines - of text. - - Args: - diffs: Array of diff tuples. - lineArray: Array of unique strings. - """ - for i in xrange(len(diffs)): - text = [] - for char in diffs[i][1]: - text.append(lineArray[ord(char)]) - diffs[i] = (diffs[i][0], "".join(text)) - - def diff_commonPrefix(self, text1, text2): - """Determine the common prefix of two strings. - - Args: - text1: First string. - text2: Second string. - - Returns: - The number of characters common to the start of each string. - """ - # Quick check for common null cases. - if not text1 or not text2 or text1[0] != text2[0]: - return 0 - # Binary search. - # Performance analysis: https://neil.fraser.name/news/2007/10/09/ - pointermin = 0 - pointermax = min(len(text1), len(text2)) - pointermid = pointermax - pointerstart = 0 - while pointermin < pointermid: - if text1[pointerstart:pointermid] == text2[pointerstart:pointermid]: - pointermin = pointermid - pointerstart = pointermin - else: - pointermax = pointermid - pointermid = (pointermax - pointermin) // 2 + pointermin - return pointermid - - def diff_commonSuffix(self, text1, text2): - """Determine the common suffix of two strings. - - Args: - text1: First string. - text2: Second string. - - Returns: - The number of characters common to the end of each string. - """ - # Quick check for common null cases. - if not text1 or not text2 or text1[-1] != text2[-1]: - return 0 - # Binary search. - # Performance analysis: https://neil.fraser.name/news/2007/10/09/ - pointermin = 0 - pointermax = min(len(text1), len(text2)) - pointermid = pointermax - pointerend = 0 - while pointermin < pointermid: - if ( - text1[-pointermid : len(text1) - pointerend] - == text2[-pointermid : len(text2) - pointerend] - ): - pointermin = pointermid - pointerend = pointermin - else: - pointermax = pointermid - pointermid = (pointermax - pointermin) // 2 + pointermin - return pointermid - - def diff_commonOverlap(self, text1, text2): - """Determine if the suffix of one string is the prefix of another. - - Args: - text1 First string. - text2 Second string. - - Returns: - The number of characters common to the end of the first - string and the start of the second string. - """ - # Cache the text lengths to prevent multiple calls. - text1_length = len(text1) - text2_length = len(text2) - # Eliminate the null case. - if text1_length == 0 or text2_length == 0: - return 0 - # Truncate the longer string. - if text1_length > text2_length: - text1 = text1[-text2_length:] - elif text1_length < text2_length: - text2 = text2[:text1_length] - text_length = min(text1_length, text2_length) - # Quick check for the worst case. - if text1 == text2: - return text_length - - # Start by looking for a single character match - # and increase length until no match is found. - # Performance analysis: https://neil.fraser.name/news/2010/11/04/ - best = 0 - length = 1 - while True: - pattern = text1[-length:] - found = text2.find(pattern) - if found == -1: - return best - length += found - if found == 0 or text1[-length:] == text2[:length]: - best = length - length += 1 - - def diff_halfMatch(self, text1, text2): - """Do the two texts share a substring which is at least half the length of - the longer text? - This speedup can produce non-minimal diffs. - - Args: - text1: First string. - text2: Second string. - - Returns: - Five element Array, containing the prefix of text1, the suffix of text1, - the prefix of text2, the suffix of text2 and the common middle. Or None - if there was no match. - """ - if self.Diff_Timeout <= 0: - # Don't risk returning a non-optimal diff if we have unlimited time. - return None - if len(text1) > len(text2): - (longtext, shorttext) = (text1, text2) - else: - (shorttext, longtext) = (text1, text2) - if len(longtext) < 4 or len(shorttext) * 2 < len(longtext): - return None # Pointless. - - def diff_halfMatchI(longtext, shorttext, i): - """Does a substring of shorttext exist within longtext such that the - substring is at least half the length of longtext? - Closure, but does not reference any external variables. - - Args: - longtext: Longer string. - shorttext: Shorter string. - i: Start index of quarter length substring within longtext. - - Returns: - Five element Array, containing the prefix of longtext, the suffix of - longtext, the prefix of shorttext, the suffix of shorttext and the - common middle. Or None if there was no match. - """ - seed = longtext[i : i + len(longtext) // 4] - best_common = "" - j = shorttext.find(seed) - while j != -1: - prefixLength = self.diff_commonPrefix(longtext[i:], shorttext[j:]) - suffixLength = self.diff_commonSuffix(longtext[:i], shorttext[:j]) - if len(best_common) < suffixLength + prefixLength: - best_common = ( - shorttext[j - suffixLength : j] - + shorttext[j : j + prefixLength] - ) - best_longtext_a = longtext[: i - suffixLength] - best_longtext_b = longtext[i + prefixLength :] - best_shorttext_a = shorttext[: j - suffixLength] - best_shorttext_b = shorttext[j + prefixLength :] - j = shorttext.find(seed, j + 1) - - if len(best_common) * 2 >= len(longtext): - return ( - best_longtext_a, - best_longtext_b, - best_shorttext_a, - best_shorttext_b, - best_common, - ) - else: - return None - - # First check if the second quarter is the seed for a half-match. - hm1 = diff_halfMatchI(longtext, shorttext, (len(longtext) + 3) // 4) - # Check again based on the third quarter. - hm2 = diff_halfMatchI(longtext, shorttext, (len(longtext) + 1) // 2) - if not hm1 and not hm2: - return None - elif not hm2: - hm = hm1 - elif not hm1: - hm = hm2 - else: - # Both matched. Select the longest. - if len(hm1[4]) > len(hm2[4]): - hm = hm1 - else: - hm = hm2 - - # A half-match was found, sort out the return data. - if len(text1) > len(text2): - (text1_a, text1_b, text2_a, text2_b, mid_common) = hm - else: - (text2_a, text2_b, text1_a, text1_b, mid_common) = hm - return (text1_a, text1_b, text2_a, text2_b, mid_common) - - def diff_cleanupSemantic(self, diffs): - """Reduce the number of edits by eliminating semantically trivial - equalities. - - Args: - diffs: Array of diff tuples. - """ - changes = False - equalities = [] # Stack of indices where equalities are found. - lastEquality = None # Always equal to diffs[equalities[-1]][1] - pointer = 0 # Index of current position. - # Number of chars that changed prior to the equality. - length_insertions1, length_deletions1 = 0, 0 - # Number of chars that changed after the equality. - length_insertions2, length_deletions2 = 0, 0 - while pointer < len(diffs): - if diffs[pointer][0] == self.DIFF_EQUAL: # Equality found. - equalities.append(pointer) - length_insertions1, length_insertions2 = length_insertions2, 0 - length_deletions1, length_deletions2 = length_deletions2, 0 - lastEquality = diffs[pointer][1] - else: # An insertion or deletion. - if diffs[pointer][0] == self.DIFF_INSERT: - length_insertions2 += len(diffs[pointer][1]) - else: - length_deletions2 += len(diffs[pointer][1]) - # Eliminate an equality that is smaller or equal to the edits on both - # sides of it. - if ( - lastEquality - and ( - len(lastEquality) <= max(length_insertions1, length_deletions1) - ) - and ( - len(lastEquality) <= max(length_insertions2, length_deletions2) - ) - ): - # Duplicate record. - diffs.insert(equalities[-1], (self.DIFF_DELETE, lastEquality)) - # Change second copy to insert. - diffs[equalities[-1] + 1] = ( - self.DIFF_INSERT, - diffs[equalities[-1] + 1][1], - ) - # Throw away the equality we just deleted. - equalities.pop() - # Throw away the previous equality (it needs to be reevaluated). - if len(equalities): - equalities.pop() - if len(equalities): - pointer = equalities[-1] - else: - pointer = -1 - # Reset the counters. - length_insertions1, length_deletions1 = 0, 0 - length_insertions2, length_deletions2 = 0, 0 - lastEquality = None - changes = True - pointer += 1 - - # Normalize the diff. - if changes: - self.diff_cleanupMerge(diffs) - self.diff_cleanupSemanticLossless(diffs) - - # Find any overlaps between deletions and insertions. - # e.g: <del>abcxxx</del><ins>xxxdef</ins> - # -> <del>abc</del>xxx<ins>def</ins> - # e.g: <del>xxxabc</del><ins>defxxx</ins> - # -> <ins>def</ins>xxx<del>abc</del> - # Only extract an overlap if it is as big as the edit ahead or behind it. - pointer = 1 - while pointer < len(diffs): - if ( - diffs[pointer - 1][0] == self.DIFF_DELETE - and diffs[pointer][0] == self.DIFF_INSERT - ): - deletion = diffs[pointer - 1][1] - insertion = diffs[pointer][1] - overlap_length1 = self.diff_commonOverlap(deletion, insertion) - overlap_length2 = self.diff_commonOverlap(insertion, deletion) - if overlap_length1 >= overlap_length2: - if ( - overlap_length1 >= len(deletion) / 2.0 - or overlap_length1 >= len(insertion) / 2.0 - ): - # Overlap found. Insert an equality and trim the surrounding edits. - diffs.insert( - pointer, (self.DIFF_EQUAL, insertion[:overlap_length1]) - ) - diffs[pointer - 1] = ( - self.DIFF_DELETE, - deletion[: len(deletion) - overlap_length1], - ) - diffs[pointer + 1] = ( - self.DIFF_INSERT, - insertion[overlap_length1:], - ) - pointer += 1 - else: - if ( - overlap_length2 >= len(deletion) / 2.0 - or overlap_length2 >= len(insertion) / 2.0 - ): - # Reverse overlap found. - # Insert an equality and swap and trim the surrounding edits. - diffs.insert( - pointer, (self.DIFF_EQUAL, deletion[:overlap_length2]) - ) - diffs[pointer - 1] = ( - self.DIFF_INSERT, - insertion[: len(insertion) - overlap_length2], - ) - diffs[pointer + 1] = ( - self.DIFF_DELETE, - deletion[overlap_length2:], - ) - pointer += 1 - pointer += 1 - pointer += 1 - - def diff_cleanupSemanticLossless(self, diffs): - """Look for single edits surrounded on both sides by equalities - which can be shifted sideways to align the edit to a word boundary. - e.g: The c<ins>at c</ins>ame. -> The <ins>cat </ins>came. - - Args: - diffs: Array of diff tuples. - """ - - def diff_cleanupSemanticScore(one, two): - """Given two strings, compute a score representing whether the - internal boundary falls on logical boundaries. - Scores range from 6 (best) to 0 (worst). - Closure, but does not reference any external variables. - - Args: - one: First string. - two: Second string. - - Returns: - The score. - """ - if not one or not two: - # Edges are the best. - return 6 - - # Each port of this function behaves slightly differently due to - # subtle differences in each language's definition of things like - # 'whitespace'. Since this function's purpose is largely cosmetic, - # the choice has been made to use each language's native features - # rather than force total conformity. - char1 = one[-1] - char2 = two[0] - nonAlphaNumeric1 = not char1.isalnum() - nonAlphaNumeric2 = not char2.isalnum() - whitespace1 = nonAlphaNumeric1 and char1.isspace() - whitespace2 = nonAlphaNumeric2 and char2.isspace() - lineBreak1 = whitespace1 and (char1 == "\r" or char1 == "\n") - lineBreak2 = whitespace2 and (char2 == "\r" or char2 == "\n") - blankLine1 = lineBreak1 and self.BLANKLINEEND.search(one) - blankLine2 = lineBreak2 and self.BLANKLINESTART.match(two) - - if blankLine1 or blankLine2: - # Five points for blank lines. - return 5 - elif lineBreak1 or lineBreak2: - # Four points for line breaks. - return 4 - elif nonAlphaNumeric1 and not whitespace1 and whitespace2: - # Three points for end of sentences. - return 3 - elif whitespace1 or whitespace2: - # Two points for whitespace. - return 2 - elif nonAlphaNumeric1 or nonAlphaNumeric2: - # One point for non-alphanumeric. - return 1 - return 0 - - pointer = 1 - # Intentionally ignore the first and last element (don't need checking). - while pointer < len(diffs) - 1: - if ( - diffs[pointer - 1][0] == self.DIFF_EQUAL - and diffs[pointer + 1][0] == self.DIFF_EQUAL - ): - # This is a single edit surrounded by equalities. - equality1 = diffs[pointer - 1][1] - edit = diffs[pointer][1] - equality2 = diffs[pointer + 1][1] - - # First, shift the edit as far left as possible. - commonOffset = self.diff_commonSuffix(equality1, edit) - if commonOffset: - commonString = edit[-commonOffset:] - equality1 = equality1[:-commonOffset] - edit = commonString + edit[:-commonOffset] - equality2 = commonString + equality2 - - # Second, step character by character right, looking for the best fit. - bestEquality1 = equality1 - bestEdit = edit - bestEquality2 = equality2 - bestScore = diff_cleanupSemanticScore( - equality1, edit - ) + diff_cleanupSemanticScore(edit, equality2) - while edit and equality2 and edit[0] == equality2[0]: - equality1 += edit[0] - edit = edit[1:] + equality2[0] - equality2 = equality2[1:] - score = diff_cleanupSemanticScore( - equality1, edit - ) + diff_cleanupSemanticScore(edit, equality2) - # The >= encourages trailing rather than leading whitespace on edits. - if score >= bestScore: - bestScore = score - bestEquality1 = equality1 - bestEdit = edit - bestEquality2 = equality2 - - if diffs[pointer - 1][1] != bestEquality1: - # We have an improvement, save it back to the diff. - if bestEquality1: - diffs[pointer - 1] = (diffs[pointer - 1][0], bestEquality1) - else: - del diffs[pointer - 1] - pointer -= 1 - diffs[pointer] = (diffs[pointer][0], bestEdit) - if bestEquality2: - diffs[pointer + 1] = (diffs[pointer + 1][0], bestEquality2) - else: - del diffs[pointer + 1] - pointer -= 1 - pointer += 1 - - # Define some regex patterns for matching boundaries. - BLANKLINEEND = re.compile(r"\n\r?\n$") - BLANKLINESTART = re.compile(r"^\r?\n\r?\n") - - def diff_cleanupEfficiency(self, diffs): - """Reduce the number of edits by eliminating operationally trivial - equalities. - - Args: - diffs: Array of diff tuples. - """ - changes = False - equalities = [] # Stack of indices where equalities are found. - lastEquality = None # Always equal to diffs[equalities[-1]][1] - pointer = 0 # Index of current position. - pre_ins = False # Is there an insertion operation before the last equality. - pre_del = False # Is there a deletion operation before the last equality. - post_ins = False # Is there an insertion operation after the last equality. - post_del = False # Is there a deletion operation after the last equality. - while pointer < len(diffs): - if diffs[pointer][0] == self.DIFF_EQUAL: # Equality found. - if len(diffs[pointer][1]) < self.Diff_EditCost and ( - post_ins or post_del - ): - # Candidate found. - equalities.append(pointer) - pre_ins = post_ins - pre_del = post_del - lastEquality = diffs[pointer][1] - else: - # Not a candidate, and can never become one. - equalities = [] - lastEquality = None - - post_ins = post_del = False - else: # An insertion or deletion. - if diffs[pointer][0] == self.DIFF_DELETE: - post_del = True - else: - post_ins = True - - # Five types to be split: - # <ins>A</ins><del>B</del>XY<ins>C</ins><del>D</del> - # <ins>A</ins>X<ins>C</ins><del>D</del> - # <ins>A</ins><del>B</del>X<ins>C</ins> - # <ins>A</del>X<ins>C</ins><del>D</del> - # <ins>A</ins><del>B</del>X<del>C</del> - - if lastEquality and ( - (pre_ins and pre_del and post_ins and post_del) - or ( - (len(lastEquality) < self.Diff_EditCost / 2) - and (pre_ins + pre_del + post_ins + post_del) == 3 - ) - ): - # Duplicate record. - diffs.insert(equalities[-1], (self.DIFF_DELETE, lastEquality)) - # Change second copy to insert. - diffs[equalities[-1] + 1] = ( - self.DIFF_INSERT, - diffs[equalities[-1] + 1][1], - ) - equalities.pop() # Throw away the equality we just deleted. - lastEquality = None - if pre_ins and pre_del: - # No changes made which could affect previous entry, keep going. - post_ins = post_del = True - equalities = [] - else: - if len(equalities): - equalities.pop() # Throw away the previous equality. - if len(equalities): - pointer = equalities[-1] - else: - pointer = -1 - post_ins = post_del = False - changes = True - pointer += 1 - - if changes: - self.diff_cleanupMerge(diffs) - - def diff_cleanupMerge(self, diffs): - """Reorder and merge like edit sections. Merge equalities. - Any edit section can move as long as it doesn't cross an equality. - - Args: - diffs: Array of diff tuples. - """ - diffs.append((self.DIFF_EQUAL, "")) # Add a dummy entry at the end. - pointer = 0 - count_delete = 0 - count_insert = 0 - text_delete = "" - text_insert = "" - while pointer < len(diffs): - if diffs[pointer][0] == self.DIFF_INSERT: - count_insert += 1 - text_insert += diffs[pointer][1] - pointer += 1 - elif diffs[pointer][0] == self.DIFF_DELETE: - count_delete += 1 - text_delete += diffs[pointer][1] - pointer += 1 - elif diffs[pointer][0] == self.DIFF_EQUAL: - # Upon reaching an equality, check for prior redundancies. - if count_delete + count_insert > 1: - if count_delete != 0 and count_insert != 0: - # Factor out any common prefixies. - commonlength = self.diff_commonPrefix(text_insert, text_delete) - if commonlength != 0: - x = pointer - count_delete - count_insert - 1 - if x >= 0 and diffs[x][0] == self.DIFF_EQUAL: - diffs[x] = ( - diffs[x][0], - diffs[x][1] + text_insert[:commonlength], - ) - else: - diffs.insert( - 0, (self.DIFF_EQUAL, text_insert[:commonlength]) - ) - pointer += 1 - text_insert = text_insert[commonlength:] - text_delete = text_delete[commonlength:] - # Factor out any common suffixies. - commonlength = self.diff_commonSuffix(text_insert, text_delete) - if commonlength != 0: - diffs[pointer] = ( - diffs[pointer][0], - text_insert[-commonlength:] + diffs[pointer][1], - ) - text_insert = text_insert[:-commonlength] - text_delete = text_delete[:-commonlength] - # Delete the offending records and add the merged ones. - new_ops = [] - if len(text_delete) != 0: - new_ops.append((self.DIFF_DELETE, text_delete)) - if len(text_insert) != 0: - new_ops.append((self.DIFF_INSERT, text_insert)) - pointer -= count_delete + count_insert - diffs[pointer : pointer + count_delete + count_insert] = new_ops - pointer += len(new_ops) + 1 - elif pointer != 0 and diffs[pointer - 1][0] == self.DIFF_EQUAL: - # Merge this equality with the previous one. - diffs[pointer - 1] = ( - diffs[pointer - 1][0], - diffs[pointer - 1][1] + diffs[pointer][1], - ) - del diffs[pointer] - else: - pointer += 1 - - count_insert = 0 - count_delete = 0 - text_delete = "" - text_insert = "" - - if diffs[-1][1] == "": - diffs.pop() # Remove the dummy entry at the end. - - # Second pass: look for single edits surrounded on both sides by equalities - # which can be shifted sideways to eliminate an equality. - # e.g: A<ins>BA</ins>C -> <ins>AB</ins>AC - changes = False - pointer = 1 - # Intentionally ignore the first and last element (don't need checking). - while pointer < len(diffs) - 1: - if ( - diffs[pointer - 1][0] == self.DIFF_EQUAL - and diffs[pointer + 1][0] == self.DIFF_EQUAL - ): - # This is a single edit surrounded by equalities. - if diffs[pointer][1].endswith(diffs[pointer - 1][1]): - # Shift the edit over the previous equality. - if diffs[pointer - 1][1] != "": - diffs[pointer] = ( - diffs[pointer][0], - diffs[pointer - 1][1] - + diffs[pointer][1][: -len(diffs[pointer - 1][1])], - ) - diffs[pointer + 1] = ( - diffs[pointer + 1][0], - diffs[pointer - 1][1] + diffs[pointer + 1][1], - ) - del diffs[pointer - 1] - changes = True - elif diffs[pointer][1].startswith(diffs[pointer + 1][1]): - # Shift the edit over the next equality. - diffs[pointer - 1] = ( - diffs[pointer - 1][0], - diffs[pointer - 1][1] + diffs[pointer + 1][1], - ) - diffs[pointer] = ( - diffs[pointer][0], - diffs[pointer][1][len(diffs[pointer + 1][1]) :] - + diffs[pointer + 1][1], - ) - del diffs[pointer + 1] - changes = True - pointer += 1 - - # If shifts were made, the diff needs reordering and another shift sweep. - if changes: - self.diff_cleanupMerge(diffs) - - def diff_xIndex(self, diffs, loc): - """loc is a location in text1, compute and return the equivalent location - in text2. e.g. "The cat" vs "The big cat", 1->1, 5->8 - - Args: - diffs: Array of diff tuples. - loc: Location within text1. - - Returns: - Location within text2. - """ - chars1 = 0 - chars2 = 0 - last_chars1 = 0 - last_chars2 = 0 - for x in xrange(len(diffs)): - (op, text) = diffs[x] - if op != self.DIFF_INSERT: # Equality or deletion. - chars1 += len(text) - if op != self.DIFF_DELETE: # Equality or insertion. - chars2 += len(text) - if chars1 > loc: # Overshot the location. - break - last_chars1 = chars1 - last_chars2 = chars2 - - if len(diffs) != x and diffs[x][0] == self.DIFF_DELETE: - # The location was deleted. - return last_chars2 - # Add the remaining len(character). - return last_chars2 + (loc - last_chars1) - - def diff_prettyHtml(self, diffs): - """Convert a diff array into a pretty HTML report. - - Args: - diffs: Array of diff tuples. - - Returns: - HTML representation. - """ - html = [] - for (op, data) in diffs: - text = ( - data.replace("&", "&") - .replace("<", "<") - .replace(">", ">") - .replace("\n", "¶<br>") - ) - if op == self.DIFF_INSERT: - html.append('<ins style="background:#e6ffe6;">%s</ins>' % text) - elif op == self.DIFF_DELETE: - html.append('<del style="background:#ffe6e6;">%s</del>' % text) - elif op == self.DIFF_EQUAL: - html.append("<span>%s</span>" % text) - return "".join(html) - - def diff_text1(self, diffs): - """Compute and return the source text (all equalities and deletions). - - Args: - diffs: Array of diff tuples. - - Returns: - Source text. - """ - text = [] - for (op, data) in diffs: - if op != self.DIFF_INSERT: - text.append(data) - return "".join(text) - - def diff_text2(self, diffs): - """Compute and return the destination text (all equalities and insertions). - - Args: - diffs: Array of diff tuples. - - Returns: - Destination text. - """ - text = [] - for (op, data) in diffs: - if op != self.DIFF_DELETE: - text.append(data) - return "".join(text) - - def diff_levenshtein(self, diffs): - """Compute the Levenshtein distance; the number of inserted, deleted or - substituted characters. - - Args: - diffs: Array of diff tuples. - - Returns: - Number of changes. - """ - levenshtein = 0 - insertions = 0 - deletions = 0 - for (op, data) in diffs: - if op == self.DIFF_INSERT: - insertions += len(data) - elif op == self.DIFF_DELETE: - deletions += len(data) - elif op == self.DIFF_EQUAL: - # A deletion and an insertion is one substitution. - levenshtein += max(insertions, deletions) - insertions = 0 - deletions = 0 - levenshtein += max(insertions, deletions) - return levenshtein - - def diff_toDelta(self, diffs): - """Crush the diff into an encoded string which describes the operations - required to transform text1 into text2. - E.g. =3\t-2\t+ing -> Keep 3 chars, delete 2 chars, insert 'ing'. - Operations are tab-separated. Inserted text is escaped using %xx notation. - - Args: - diffs: Array of diff tuples. - - Returns: - Delta text. - """ - text = [] - for (op, data) in diffs: - if op == self.DIFF_INSERT: - # High ascii will raise UnicodeDecodeError. Use Unicode instead. - data = data.encode("utf-8") - text.append("+" + urllib.quote(data, "!~*'();/?:@&=+$,# ")) - elif op == self.DIFF_DELETE: - text.append("-%d" % len(data)) - elif op == self.DIFF_EQUAL: - text.append("=%d" % len(data)) - return "\t".join(text) - - def diff_fromDelta(self, text1, delta): - """Given the original text1, and an encoded string which describes the - operations required to transform text1 into text2, compute the full diff. - - Args: - text1: Source string for the diff. - delta: Delta text. - - Returns: - Array of diff tuples. - - Raises: - ValueError: If invalid input. - """ - if type(delta) == unicode: - # Deltas should be composed of a subset of ascii chars, Unicode not - # required. If this encode raises UnicodeEncodeError, delta is invalid. - delta = delta.encode("ascii") - diffs = [] - pointer = 0 # Cursor in text1 - tokens = delta.split("\t") - for token in tokens: - if token == "": - # Blank tokens are ok (from a trailing \t). - continue - # Each token begins with a one character parameter which specifies the - # operation of this token (delete, insert, equality). - param = token[1:] - if token[0] == "+": - param = urllib.unquote(param).decode("utf-8") - diffs.append((self.DIFF_INSERT, param)) - elif token[0] == "-" or token[0] == "=": - try: - n = int(param) - except ValueError: - raise ValueError("Invalid number in diff_fromDelta: " + param) - if n < 0: - raise ValueError("Negative number in diff_fromDelta: " + param) - text = text1[pointer : pointer + n] - pointer += n - if token[0] == "=": - diffs.append((self.DIFF_EQUAL, text)) - else: - diffs.append((self.DIFF_DELETE, text)) - else: - # Anything else is an error. - raise ValueError( - "Invalid diff operation in diff_fromDelta: " + token[0] - ) - if pointer != len(text1): - raise ValueError( - "Delta length (%d) does not equal source text length (%d)." - % (pointer, len(text1)) - ) - return diffs - - # MATCH FUNCTIONS - - def match_main(self, text, pattern, loc): - """Locate the best instance of 'pattern' in 'text' near 'loc'. - - Args: - text: The text to search. - pattern: The pattern to search for. - loc: The location to search around. - - Returns: - Best match index or -1. - """ - # Check for null inputs. - if text == None or pattern == None: - raise ValueError("Null inputs. (match_main)") - - loc = max(0, min(loc, len(text))) - if text == pattern: - # Shortcut (potentially not guaranteed by the algorithm) - return 0 - elif not text: - # Nothing to match. - return -1 - elif text[loc : loc + len(pattern)] == pattern: - # Perfect match at the perfect spot! (Includes case of null pattern) - return loc - else: - # Do a fuzzy compare. - match = self.match_bitap(text, pattern, loc) - return match - - def match_bitap(self, text, pattern, loc): - """Locate the best instance of 'pattern' in 'text' near 'loc' using the - Bitap algorithm. - - Args: - text: The text to search. - pattern: The pattern to search for. - loc: The location to search around. - - Returns: - Best match index or -1. - """ - # Python doesn't have a maxint limit, so ignore this check. - # if self.Match_MaxBits != 0 and len(pattern) > self.Match_MaxBits: - # raise ValueError("Pattern too long for this application.") - - # Initialise the alphabet. - s = self.match_alphabet(pattern) - - def match_bitapScore(e, x): - """Compute and return the score for a match with e errors and x location. - Accesses loc and pattern through being a closure. - - Args: - e: Number of errors in match. - x: Location of match. - - Returns: - Overall score for match (0.0 = good, 1.0 = bad). - """ - accuracy = float(e) / len(pattern) - proximity = abs(loc - x) - if not self.Match_Distance: - # Dodge divide by zero error. - return proximity and 1.0 or accuracy - return accuracy + (proximity / float(self.Match_Distance)) - - # Highest score beyond which we give up. - score_threshold = self.Match_Threshold - # Is there a nearby exact match? (speedup) - best_loc = text.find(pattern, loc) - if best_loc != -1: - score_threshold = min(match_bitapScore(0, best_loc), score_threshold) - # What about in the other direction? (speedup) - best_loc = text.rfind(pattern, loc + len(pattern)) - if best_loc != -1: - score_threshold = min(match_bitapScore(0, best_loc), score_threshold) - - # Initialise the bit arrays. - matchmask = 1 << (len(pattern) - 1) - best_loc = -1 - - bin_max = len(pattern) + len(text) - # Empty initialization added to appease pychecker. - last_rd = None - for d in xrange(len(pattern)): - # Scan for the best match each iteration allows for one more error. - # Run a binary search to determine how far from 'loc' we can stray at - # this error level. - bin_min = 0 - bin_mid = bin_max - while bin_min < bin_mid: - if match_bitapScore(d, loc + bin_mid) <= score_threshold: - bin_min = bin_mid - else: - bin_max = bin_mid - bin_mid = (bin_max - bin_min) // 2 + bin_min - - # Use the result from this iteration as the maximum for the next. - bin_max = bin_mid - start = max(1, loc - bin_mid + 1) - finish = min(loc + bin_mid, len(text)) + len(pattern) - - rd = [0] * (finish + 2) - rd[finish + 1] = (1 << d) - 1 - for j in xrange(finish, start - 1, -1): - if len(text) <= j - 1: - # Out of range. - charMatch = 0 - else: - charMatch = s.get(text[j - 1], 0) - if d == 0: # First pass: exact match. - rd[j] = ((rd[j + 1] << 1) | 1) & charMatch - else: # Subsequent passes: fuzzy match. - rd[j] = ( - (((rd[j + 1] << 1) | 1) & charMatch) - | (((last_rd[j + 1] | last_rd[j]) << 1) | 1) - | last_rd[j + 1] - ) - if rd[j] & matchmask: - score = match_bitapScore(d, j - 1) - # This match will almost certainly be better than any existing match. - # But check anyway. - if score <= score_threshold: - # Told you so. - score_threshold = score - best_loc = j - 1 - if best_loc > loc: - # When passing loc, don't exceed our current distance from loc. - start = max(1, 2 * loc - best_loc) - else: - # Already passed loc, downhill from here on in. - break - # No hope for a (better) match at greater error levels. - if match_bitapScore(d + 1, loc) > score_threshold: - break - last_rd = rd - return best_loc - - def match_alphabet(self, pattern): - """Initialise the alphabet for the Bitap algorithm. - - Args: - pattern: The text to encode. - - Returns: - Hash of character locations. - """ - s = {} - for char in pattern: - s[char] = 0 - for i in xrange(len(pattern)): - s[pattern[i]] |= 1 << (len(pattern) - i - 1) - return s - - # PATCH FUNCTIONS - - def patch_addContext(self, patch, text): - """Increase the context until it is unique, - but don't let the pattern expand beyond Match_MaxBits. - - Args: - patch: The patch to grow. - text: Source text. - """ - if len(text) == 0: - return - pattern = text[patch.start2 : patch.start2 + patch.length1] - padding = 0 - - # Look for the first and last matches of pattern in text. If two different - # matches are found, increase the pattern length. - while text.find(pattern) != text.rfind(pattern) and ( - self.Match_MaxBits == 0 - or len(pattern) < self.Match_MaxBits - self.Patch_Margin - self.Patch_Margin - ): - padding += self.Patch_Margin - pattern = text[ - max(0, patch.start2 - padding) : patch.start2 + patch.length1 + padding - ] - # Add one chunk for good luck. - padding += self.Patch_Margin - - # Add the prefix. - prefix = text[max(0, patch.start2 - padding) : patch.start2] - if prefix: - patch.diffs[:0] = [(self.DIFF_EQUAL, prefix)] - # Add the suffix. - suffix = text[ - patch.start2 + patch.length1 : patch.start2 + patch.length1 + padding - ] - if suffix: - patch.diffs.append((self.DIFF_EQUAL, suffix)) - - # Roll back the start points. - patch.start1 -= len(prefix) - patch.start2 -= len(prefix) - # Extend lengths. - patch.length1 += len(prefix) + len(suffix) - patch.length2 += len(prefix) + len(suffix) - - def patch_make(self, a, b=None, c=None): - """Compute a list of patches to turn text1 into text2. - Use diffs if provided, otherwise compute it ourselves. - There are four ways to call this function, depending on what data is - available to the caller: - Method 1: - a = text1, b = text2 - Method 2: - a = diffs - Method 3 (optimal): - a = text1, b = diffs - Method 4 (deprecated, use method 3): - a = text1, b = text2, c = diffs - - Args: - a: text1 (methods 1,3,4) or Array of diff tuples for text1 to - text2 (method 2). - b: text2 (methods 1,4) or Array of diff tuples for text1 to - text2 (method 3) or undefined (method 2). - c: Array of diff tuples for text1 to text2 (method 4) or - undefined (methods 1,2,3). - - Returns: - Array of Patch objects. - """ - text1 = None - diffs = None - # Note that texts may arrive as 'str' or 'unicode'. - if isinstance(a, basestring) and isinstance(b, basestring) and c is None: - # Method 1: text1, text2 - # Compute diffs from text1 and text2. - text1 = a - diffs = self.diff_main(text1, b, True) - if len(diffs) > 2: - self.diff_cleanupSemantic(diffs) - self.diff_cleanupEfficiency(diffs) - elif isinstance(a, list) and b is None and c is None: - # Method 2: diffs - # Compute text1 from diffs. - diffs = a - text1 = self.diff_text1(diffs) - elif isinstance(a, basestring) and isinstance(b, list) and c is None: - # Method 3: text1, diffs - text1 = a - diffs = b - elif ( - isinstance(a, basestring) - and isinstance(b, basestring) - and isinstance(c, list) - ): - # Method 4: text1, text2, diffs - # text2 is not used. - text1 = a - diffs = c - else: - raise ValueError("Unknown call format to patch_make.") - - if not diffs: - return [] # Get rid of the None case. - patches = [] - patch = patch_obj() - char_count1 = 0 # Number of characters into the text1 string. - char_count2 = 0 # Number of characters into the text2 string. - prepatch_text = text1 # Recreate the patches to determine context info. - postpatch_text = text1 - for x in xrange(len(diffs)): - (diff_type, diff_text) = diffs[x] - if len(patch.diffs) == 0 and diff_type != self.DIFF_EQUAL: - # A new patch starts here. - patch.start1 = char_count1 - patch.start2 = char_count2 - if diff_type == self.DIFF_INSERT: - # Insertion - patch.diffs.append(diffs[x]) - patch.length2 += len(diff_text) - postpatch_text = ( - postpatch_text[:char_count2] - + diff_text - + postpatch_text[char_count2:] - ) - elif diff_type == self.DIFF_DELETE: - # Deletion. - patch.length1 += len(diff_text) - patch.diffs.append(diffs[x]) - postpatch_text = ( - postpatch_text[:char_count2] - + postpatch_text[char_count2 + len(diff_text) :] - ) - elif ( - diff_type == self.DIFF_EQUAL - and len(diff_text) <= 2 * self.Patch_Margin - and len(patch.diffs) != 0 - and len(diffs) != x + 1 - ): - # Small equality inside a patch. - patch.diffs.append(diffs[x]) - patch.length1 += len(diff_text) - patch.length2 += len(diff_text) - - if diff_type == self.DIFF_EQUAL and len(diff_text) >= 2 * self.Patch_Margin: - # Time for a new patch. - if len(patch.diffs) != 0: - self.patch_addContext(patch, prepatch_text) - patches.append(patch) - patch = patch_obj() - # Unlike Unidiff, our patch lists have a rolling context. - # https://github.com/google/diff-match-patch/wiki/Unidiff - # Update prepatch text & pos to reflect the application of the - # just completed patch. - prepatch_text = postpatch_text - char_count1 = char_count2 - - # Update the current character count. - if diff_type != self.DIFF_INSERT: - char_count1 += len(diff_text) - if diff_type != self.DIFF_DELETE: - char_count2 += len(diff_text) - - # Pick up the leftover patch if not empty. - if len(patch.diffs) != 0: - self.patch_addContext(patch, prepatch_text) - patches.append(patch) - return patches - - def patch_deepCopy(self, patches): - """Given an array of patches, return another array that is identical. - - Args: - patches: Array of Patch objects. - - Returns: - Array of Patch objects. - """ - patchesCopy = [] - for patch in patches: - patchCopy = patch_obj() - # No need to deep copy the tuples since they are immutable. - patchCopy.diffs = patch.diffs[:] - patchCopy.start1 = patch.start1 - patchCopy.start2 = patch.start2 - patchCopy.length1 = patch.length1 - patchCopy.length2 = patch.length2 - patchesCopy.append(patchCopy) - return patchesCopy - - def patch_apply(self, patches, text): - """Merge a set of patches onto the text. Return a patched text, as well - as a list of true/false values indicating which patches were applied. - - Args: - patches: Array of Patch objects. - text: Old text. - - Returns: - Two element Array, containing the new text and an array of boolean values. - """ - if not patches: - return (text, []) - - # Deep copy the patches so that no changes are made to originals. - patches = self.patch_deepCopy(patches) - - nullPadding = self.patch_addPadding(patches) - text = nullPadding + text + nullPadding - self.patch_splitMax(patches) - - # delta keeps track of the offset between the expected and actual location - # of the previous patch. If there are patches expected at positions 10 and - # 20, but the first patch was found at 12, delta is 2 and the second patch - # has an effective expected position of 22. - delta = 0 - results = [] - for patch in patches: - expected_loc = patch.start2 + delta - text1 = self.diff_text1(patch.diffs) - end_loc = -1 - if len(text1) > self.Match_MaxBits: - # patch_splitMax will only provide an oversized pattern in the case of - # a monster delete. - start_loc = self.match_main( - text, text1[: self.Match_MaxBits], expected_loc - ) - if start_loc != -1: - end_loc = self.match_main( - text, - text1[-self.Match_MaxBits :], - expected_loc + len(text1) - self.Match_MaxBits, - ) - if end_loc == -1 or start_loc >= end_loc: - # Can't find valid trailing context. Drop this patch. - start_loc = -1 - else: - start_loc = self.match_main(text, text1, expected_loc) - if start_loc == -1: - # No match found. :( - results.append(False) - # Subtract the delta for this failed patch from subsequent patches. - delta -= patch.length2 - patch.length1 - else: - # Found a match. :) - results.append(True) - delta = start_loc - expected_loc - if end_loc == -1: - text2 = text[start_loc : start_loc + len(text1)] - else: - text2 = text[start_loc : end_loc + self.Match_MaxBits] - if text1 == text2: - # Perfect match, just shove the replacement text in. - text = ( - text[:start_loc] - + self.diff_text2(patch.diffs) - + text[start_loc + len(text1) :] - ) - else: - # Imperfect match. - # Run a diff to get a framework of equivalent indices. - diffs = self.diff_main(text1, text2, False) - if ( - len(text1) > self.Match_MaxBits - and self.diff_levenshtein(diffs) / float(len(text1)) - > self.Patch_DeleteThreshold - ): - # The end points match, but the content is unacceptably bad. - results[-1] = False - else: - self.diff_cleanupSemanticLossless(diffs) - index1 = 0 - for (op, data) in patch.diffs: - if op != self.DIFF_EQUAL: - index2 = self.diff_xIndex(diffs, index1) - if op == self.DIFF_INSERT: # Insertion - text = ( - text[: start_loc + index2] - + data - + text[start_loc + index2 :] - ) - elif op == self.DIFF_DELETE: # Deletion - text = ( - text[: start_loc + index2] - + text[ - start_loc - + self.diff_xIndex(diffs, index1 + len(data)) : - ] - ) - if op != self.DIFF_DELETE: - index1 += len(data) - # Strip the padding off. - text = text[len(nullPadding) : -len(nullPadding)] - return (text, results) - - def patch_addPadding(self, patches): - """Add some padding on text start and end so that edges can match - something. Intended to be called only from within patch_apply. - - Args: - patches: Array of Patch objects. - - Returns: - The padding string added to each side. - """ - paddingLength = self.Patch_Margin - nullPadding = "" - for x in xrange(1, paddingLength + 1): - nullPadding += chr(x) - - # Bump all the patches forward. - for patch in patches: - patch.start1 += paddingLength - patch.start2 += paddingLength - - # Add some padding on start of first diff. - patch = patches[0] - diffs = patch.diffs - if not diffs or diffs[0][0] != self.DIFF_EQUAL: - # Add nullPadding equality. - diffs.insert(0, (self.DIFF_EQUAL, nullPadding)) - patch.start1 -= paddingLength # Should be 0. - patch.start2 -= paddingLength # Should be 0. - patch.length1 += paddingLength - patch.length2 += paddingLength - elif paddingLength > len(diffs[0][1]): - # Grow first equality. - extraLength = paddingLength - len(diffs[0][1]) - newText = nullPadding[len(diffs[0][1]) :] + diffs[0][1] - diffs[0] = (diffs[0][0], newText) - patch.start1 -= extraLength - patch.start2 -= extraLength - patch.length1 += extraLength - patch.length2 += extraLength - - # Add some padding on end of last diff. - patch = patches[-1] - diffs = patch.diffs - if not diffs or diffs[-1][0] != self.DIFF_EQUAL: - # Add nullPadding equality. - diffs.append((self.DIFF_EQUAL, nullPadding)) - patch.length1 += paddingLength - patch.length2 += paddingLength - elif paddingLength > len(diffs[-1][1]): - # Grow last equality. - extraLength = paddingLength - len(diffs[-1][1]) - newText = diffs[-1][1] + nullPadding[:extraLength] - diffs[-1] = (diffs[-1][0], newText) - patch.length1 += extraLength - patch.length2 += extraLength - - return nullPadding - - def patch_splitMax(self, patches): - """Look through the patches and break up any which are longer than the - maximum limit of the match algorithm. - Intended to be called only from within patch_apply. - - Args: - patches: Array of Patch objects. - """ - patch_size = self.Match_MaxBits - if patch_size == 0: - # Python has the option of not splitting strings due to its ability - # to handle integers of arbitrary precision. - return - for x in xrange(len(patches)): - if patches[x].length1 <= patch_size: - continue - bigpatch = patches[x] - # Remove the big old patch. - del patches[x] - x -= 1 - start1 = bigpatch.start1 - start2 = bigpatch.start2 - precontext = "" - while len(bigpatch.diffs) != 0: - # Create one of several smaller patches. - patch = patch_obj() - empty = True - patch.start1 = start1 - len(precontext) - patch.start2 = start2 - len(precontext) - if precontext: - patch.length1 = patch.length2 = len(precontext) - patch.diffs.append((self.DIFF_EQUAL, precontext)) - - while ( - len(bigpatch.diffs) != 0 - and patch.length1 < patch_size - self.Patch_Margin - ): - (diff_type, diff_text) = bigpatch.diffs[0] - if diff_type == self.DIFF_INSERT: - # Insertions are harmless. - patch.length2 += len(diff_text) - start2 += len(diff_text) - patch.diffs.append(bigpatch.diffs.pop(0)) - empty = False - elif ( - diff_type == self.DIFF_DELETE - and len(patch.diffs) == 1 - and patch.diffs[0][0] == self.DIFF_EQUAL - and len(diff_text) > 2 * patch_size - ): - # This is a large deletion. Let it pass in one chunk. - patch.length1 += len(diff_text) - start1 += len(diff_text) - empty = False - patch.diffs.append((diff_type, diff_text)) - del bigpatch.diffs[0] - else: - # Deletion or equality. Only take as much as we can stomach. - diff_text = diff_text[ - : patch_size - patch.length1 - self.Patch_Margin - ] - patch.length1 += len(diff_text) - start1 += len(diff_text) - if diff_type == self.DIFF_EQUAL: - patch.length2 += len(diff_text) - start2 += len(diff_text) - else: - empty = False - - patch.diffs.append((diff_type, diff_text)) - if diff_text == bigpatch.diffs[0][1]: - del bigpatch.diffs[0] - else: - bigpatch.diffs[0] = ( - bigpatch.diffs[0][0], - bigpatch.diffs[0][1][len(diff_text) :], - ) - - # Compute the head context for the next patch. - precontext = self.diff_text2(patch.diffs) - precontext = precontext[-self.Patch_Margin :] - # Append the end context for this patch. - postcontext = self.diff_text1(bigpatch.diffs)[: self.Patch_Margin] - if postcontext: - patch.length1 += len(postcontext) - patch.length2 += len(postcontext) - if len(patch.diffs) != 0 and patch.diffs[-1][0] == self.DIFF_EQUAL: - patch.diffs[-1] = ( - self.DIFF_EQUAL, - patch.diffs[-1][1] + postcontext, - ) - else: - patch.diffs.append((self.DIFF_EQUAL, postcontext)) - - if not empty: - x += 1 - patches.insert(x, patch) - - def patch_toText(self, patches): - """Take a list of patches and return a textual representation. - - Args: - patches: Array of Patch objects. - - Returns: - Text representation of patches. - """ - text = [] - for patch in patches: - text.append(str(patch)) - return "".join(text) - - def patch_fromText(self, textline): - """Parse a textual representation of patches and return a list of patch - objects. - - Args: - textline: Text representation of patches. - - Returns: - Array of Patch objects. - - Raises: - ValueError: If invalid input. - """ - if type(textline) == unicode: - # Patches should be composed of a subset of ascii chars, Unicode not - # required. If this encode raises UnicodeEncodeError, patch is invalid. - textline = textline.encode("ascii") - patches = [] - if not textline: - return patches - text = textline.split("\n") - while len(text) != 0: - m = re.match("^@@ -(\d+),?(\d*) \+(\d+),?(\d*) @@$", text[0]) - if not m: - raise ValueError("Invalid patch string: " + text[0]) - patch = patch_obj() - patches.append(patch) - patch.start1 = int(m.group(1)) - if m.group(2) == "": - patch.start1 -= 1 - patch.length1 = 1 - elif m.group(2) == "0": - patch.length1 = 0 - else: - patch.start1 -= 1 - patch.length1 = int(m.group(2)) - - patch.start2 = int(m.group(3)) - if m.group(4) == "": - patch.start2 -= 1 - patch.length2 = 1 - elif m.group(4) == "0": - patch.length2 = 0 - else: - patch.start2 -= 1 - patch.length2 = int(m.group(4)) - - del text[0] - - while len(text) != 0: - if text[0]: - sign = text[0][0] - else: - sign = "" - line = urllib.unquote(text[0][1:]) - line = line.decode("utf-8") - if sign == "+": - # Insertion. - patch.diffs.append((self.DIFF_INSERT, line)) - elif sign == "-": - # Deletion. - patch.diffs.append((self.DIFF_DELETE, line)) - elif sign == " ": - # Minor equality. - patch.diffs.append((self.DIFF_EQUAL, line)) - elif sign == "@": - # Start of next patch. - break - elif sign == "": - # Blank line? Whatever. - pass - else: - # WTF? - raise ValueError("Invalid patch mode: '%s'\n%s" % (sign, line)) - del text[0] - return patches - - -class patch_obj: - """Class representing one patch operation. - """ - - def __init__(self): - """Initializes with an empty list of diffs. - """ - self.diffs = [] - self.start1 = None - self.start2 = None - self.length1 = 0 - self.length2 = 0 - - def __str__(self): - """Emulate GNU diff's format. - Header: @@ -382,8 +481,9 @@ - Indices are printed as 1-based, not 0-based. - - Returns: - The GNU diff string. - """ - if self.length1 == 0: - coords1 = str(self.start1) + ",0" - elif self.length1 == 1: - coords1 = str(self.start1 + 1) - else: - coords1 = str(self.start1 + 1) + "," + str(self.length1) - if self.length2 == 0: - coords2 = str(self.start2) + ",0" - elif self.length2 == 1: - coords2 = str(self.start2 + 1) - else: - coords2 = str(self.start2 + 1) + "," + str(self.length2) - text = ["@@ -", coords1, " +", coords2, " @@\n"] - # Escape the body of the patch with %xx notation. - for (op, data) in self.diffs: - if op == diff_match_patch.DIFF_INSERT: - text.append("+") - elif op == diff_match_patch.DIFF_DELETE: - text.append("-") - elif op == diff_match_patch.DIFF_EQUAL: - text.append(" ") - # High ascii will raise UnicodeDecodeError. Use Unicode instead. - data = data.encode("utf-8") - text.append(urllib.quote(data, "!~*'();/?:@&=+$,# ") + "\n") - return "".join(text) diff --git a/contrib/python/diff-match-patch/py2/ya.make b/contrib/python/diff-match-patch/py2/ya.make deleted file mode 100644 index 7dfc13ebe42..00000000000 --- a/contrib/python/diff-match-patch/py2/ya.make +++ /dev/null @@ -1,27 +0,0 @@ -# Generated by devtools/yamaker (pypi). - -PY2_LIBRARY() - -VERSION(20200713) - -LICENSE(Apache-2.0) - -NO_LINT() - -PY_SRCS( - TOP_LEVEL - diff_match_patch/__init__.py - diff_match_patch/diff_match_patch_py2.py -) - -RESOURCE_FILES( - PREFIX contrib/python/diff-match-patch/py2/ - .dist-info/METADATA - .dist-info/top_level.txt -) - -END() - -RECURSE_FOR_TESTS( - tests -) |