Skip to main content

pyxDamerauLevenshtein implements the Damerau-Levenshtein (DL) edit distance algorithm for Python in Cython for high performance. Courtesy Wikipedia: In information theory and computer science, the Damerau-Levenshtein distance (named after Frederick J. Damerau and Vladimir I. Levenshtein) is a “distance” (string metric) between two strings, i.e., finite sequence of symbols, given by counting the minimum number of operations needed to transform one string into the other, where an operation is defined as an insertion, deletion, or substitution of a single character, or a transposition of two adjacent characters. This implementation is based on Michael Homer’s pure Python implementation, which implements the optimal string alignment distance algorithm. It runs in O(N*M) time using O(M) space. It supports unicode characters. For more information on pyxDamerauLevenshtein, visit the GitHub project page.

Metadata

Release files for pyxDamerauLevenshtein 1.6

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for pyxDamerauLevenshtein 1.6
File Size Uploaded
pyxDamerauLevenshtein-1.6.tar.gz 59.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for pyxDamerauLevenshtein 1.6
File Interpreter ABI Platform
pyxDamerauLevenshtein-1.6-cp38-cp38-macosx_10_9_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.9+ x86-64 Details

Total release size: 86.7 kB

Release files / pyxDamerauLevenshtein-1.6.tar.gz

Download URL pyxDamerauLevenshtein-1.6.tar.gz
Size 59.0 kB
Tags Source
SHA-256 checksum
How to use checksums
cfa98243131f4b2162738f943b3b4e7dfc1d9e961bd2a1afc61909bedd385257
BLAKE2b-256 checksum
How to use checksums
c3d6b15204b8ceaeb81fd2d9b5ffa32021f5d07c47464e6849efe2050dd24ed5
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3.post20200330 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

Release files / pyxDamerauLevenshtein-1.6-cp38-cp38-macosx_10_9_x86_64.whl

Download URL pyxDamerauLevenshtein-1.6-cp38-cp38-macosx_10_9_x86_64.whl
Size 27.6 kB
Tags CPython 3.8 macOS 10.9+ x86-64
SHA-256 checksum
How to use checksums
6d13fba355515871d827d60061864b6a48f82c6c2903efb203fbff5eaac22bab
BLAKE2b-256 checksum
How to use checksums
b8211fef17c4a81aa303bb11d3121f36a7a726a9dd2b66b5c139373575633c39
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/2.0.0 pkginfo/1.5.0.1 requests/2.23.0 setuptools/46.1.3.post20200330 requests-toolbelt/0.9.1 tqdm/4.45.0 CPython/3.8.2

Release history Release notifications | RSS feed

1.8.0

2 release files

1.7.1

2 release files

1.7.0

2 release files

1.6.2

3 release files

1.6.1

2 release files

This release

1.6 This release

2 release files

1.5.3

2 release files

1.5.2

2 release files

1.5.1

2 release files

1.5

2 release files

1.4.1

2 release files

1.4

1.3.2

1 release file

1.3.1

1 release file

1.2

1 release file

1.1

1 release file

1.0.2

1 release file

1.0.1

1 release file

1.0

1 release file

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page