sesdiff


Namesesdiff JSON
Version 0.3.2 PyPI version JSON
download
home_pagehttps://github.com/proycon/sesdiff/
SummaryGenerates a shortest edit script (Myers' diff algorithm) to indicate how to get from the strings in column A to the strings in column B. Also provides the edit distance (levenshtein). This is the Python binding.
upload_time2024-10-15 08:59:03
maintainerNone
docs_urlNone
authorMaarten van Gompel <proycon@anaproy.nl>
requires_pythonNone
licenseGPL-3.0+
keywords nlp text-processing lemmatization linguistics
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            ## Sesdiff python binding

## Description

This is a python library that reads relates two strings and computes the
shortest edit script (Myers' diff algorithm) to go from the string in column A
to the string in column B. It also computes the edit distance (aka levenshtein
distance).

There is also a [command line version](../) available.

## Installation

```
pip install sesdiff
```

## Usage

The `shortest_edit_script` function returns an `EditScript` instance containing
the instructions needed to get from string A to string B. Instructions are
represented as two-tuples with the first string being a character representing
the edit instruction type (`+` for insertion, `-` for deletion, `=` for
identity) and the second the actual textual content.

```python
from sesdiff import shortest_edit_script, Mode

#normal mode
result = shortest_edit_script("hablaron","hablar")
assert result.distance() == 2
assert len(result) == 2 
assert result[0] == ('=',"hablar")
assert result[1] == ('-',"on")

#print all instructions
for instruction in result:
    print(instruction)

#suffix mode
result = shortest_edit_script("hablaron","hablar", Mode.SUFFIX)
assert result.distance() == 2
assert len(result) == 1
assert result[0] == ('-',"on")

#works fine with unicode:
result = shortest_edit_script("говорим","говорить")
assert result.distance() == 3
assert len(result) == 3
assert result[0] == ('=',"говори")
assert result[1] == ('-',"м")
assert result[2] == ('+',"ть")
```

## Limitations

The apply functionality from the main library/CLI tool is not implemented yet.

Do not use this library if you're merely interested in computing levenshtein
distance, it comes with performance overhead to return the actual edit scripts.


            

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    "description": "## Sesdiff python binding\n\n## Description\n\nThis is a python library that reads relates two strings and computes the\nshortest edit script (Myers' diff algorithm) to go from the string in column A\nto the string in column B. It also computes the edit distance (aka levenshtein\ndistance).\n\nThere is also a [command line version](../) available.\n\n## Installation\n\n```\npip install sesdiff\n```\n\n## Usage\n\nThe `shortest_edit_script` function returns an `EditScript` instance containing\nthe instructions needed to get from string A to string B. Instructions are\nrepresented as two-tuples with the first string being a character representing\nthe edit instruction type (`+` for insertion, `-` for deletion, `=` for\nidentity) and the second the actual textual content.\n\n```python\nfrom sesdiff import shortest_edit_script, Mode\n\n#normal mode\nresult = shortest_edit_script(\"hablaron\",\"hablar\")\nassert result.distance() == 2\nassert len(result) == 2 \nassert result[0] == ('=',\"hablar\")\nassert result[1] == ('-',\"on\")\n\n#print all instructions\nfor instruction in result:\n    print(instruction)\n\n#suffix mode\nresult = shortest_edit_script(\"hablaron\",\"hablar\", Mode.SUFFIX)\nassert result.distance() == 2\nassert len(result) == 1\nassert result[0] == ('-',\"on\")\n\n#works fine with unicode:\nresult = shortest_edit_script(\"\u0433\u043e\u0432\u043e\u0440\u0438\u043c\",\"\u0433\u043e\u0432\u043e\u0440\u0438\u0442\u044c\")\nassert result.distance() == 3\nassert len(result) == 3\nassert result[0] == ('=',\"\u0433\u043e\u0432\u043e\u0440\u0438\")\nassert result[1] == ('-',\"\u043c\")\nassert result[2] == ('+',\"\u0442\u044c\")\n```\n\n## Limitations\n\nThe apply functionality from the main library/CLI tool is not implemented yet.\n\nDo not use this library if you're merely interested in computing levenshtein\ndistance, it comes with performance overhead to return the actual edit scripts.\n\n",
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