Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

pylcs

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

pylcs

super fast cpp implementation of longest common subsequence

  • 0.1.1
  • PyPI
  • Socket score

Maintainers
1

pylcs

The original repository stop maintenance. This is a transfer version

pylcs is a super fast c++ library which adopts dynamic programming(DP) algorithm to solve two classic LCS problems as below .

The longest common subsequence problem is the problem of finding the longest subsequence common to all sequences in a set of sequences (often just two sequences).

The longest common substring problem is to find the longest string (or strings) that is a substring (or are substrings) of two or more strings.

Levenshtein distance, aka edit distance is also supported. Emm...forget the package name. Example usage is in tests.

We also support Chinese(or any UTF-8) string.

Colorful Visualization: After 0.1.0, you can visualize the lcs result with colorful output.

Install

To install, simply do pip install pylcs to pull down the latest version from PyPI.

Python code example

import pylcs

#  finding the longest common subsequence length of string A and string B
A = 'We are shannonai'
B = 'We like shannonai'
pylcs.lcs_sequence_length(A, B)
"""
>>> pylcs.lcs_sequence_length(A, B)
14
"""

#  finding alignment from string A to B
A = 'We are shannonai'
B = 'We like shannonai'
res = pylcs.lcs_sequence_idx(A, B)
''.join([B[i] for i in res if i != -1])
"""
>>> res
[0, 1, 2, -1, -1, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]
>>> ''.join([B[i] for i in res if i != -1])
'We e shannonai'
"""

#  finding the longest common subsequence length of string A and a list of string B
A = 'We are shannonai'
B = ['We like shannonai', 'We work in shannonai', 'We are not shannonai']
pylcs.lcs_sequence_of_list(A, B)
"""
>>> pylcs.lcs_sequence_of_list(A, B)
[14, 14, 16]
"""

# finding the longest common substring length of string A and string B
A = 'We are shannonai'
B = 'We like shannonai'
pylcs.lcs_string_length(A, B)
"""
>>> pylcs.lcs_string_length(A, B)
11
"""

#  finding alignment from string A to B
A = 'We are shannonai'
B = 'We like shannonai'
res = pylcs.lcs_string_idx(A, B)
''.join([B[i] for i in res if i != -1])
"""
>>> res
[-1, -1, -1, -1, -1, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16]
>>> ''.join([B[i] for i in res if i != -1])
'e shannonai'
"""

#  finding the longest common substring length of string A and a list of string B
A = 'We are shannonai'
B = ['We like shannonai', 'We work in shannonai', 'We are not shannonai']
pylcs.lcs_string_of_list(A, B)
"""
>>> pylcs.lcs_string_of_list(A, B)
[11, 10, 10]
"""

#  finding the weighted edit distance from string A to B
pylcs.edit_distance("aaa", "aba")
pylcs.edit_distance("aaa", "aba", {'a': {'b': 2.0}})
pylcs.edit_distance("", "aa", {'': {'a': 0.5}})
#  weight['']['a'] means inserting a char 'a' costs 0.5
#  similarly, weight['a'][''] means the score of deleting a char 'a'
"""
>>> pylcs.edit_distance("aaa", "aba")
1
>>> pylcs.edit_distance("aaa", "aba", {'a': {'b': 2.0}})
2.0
>>> pylcs.edit_distance("", "aa", {'': {'a': 0.5}})
1.0
"""

#  finding edit distance alignment from string A to B
pylcs.edit_distance_idx("aaa", "aba")
pylcs.edit_distance_idx("aaa", "aba", {'a': {'b': 3}})
pylcs.edit_distance_idx("aa", "aabb", {'a': {'a': 2, 'b': 0}})
"""
>>> pylcs.edit_distance_idx("aaa", "aba")
[0, 1, 2]
>>> pylcs.edit_distance_idx("aaa", "aba", {'a': {'b': 3}})
[0, -1, 2]
>>> pylcs.edit_distance_idx("aa", "aabb", {'a': {'a': 2, 'b': 0}})
[2, 3]
"""

After 0.1.0, you can make a visualized comparison with colorful output. Using coloring_match_sequence to color the s1 and s2 by a match list like:

s1, s2 = "abcdefghijklmnopq", "-c-fgh-kl-nop-q"
match_list = pylcs.lcs_sequence_idx(s1, s2)
colored_s1, colored_s2 = pylcs.coloring_match_sequence(match_list, s1, s2, 11, 11, "#2266ff", "#2266ff", t=1)
print(colored_s1, colored_s2)
colored_s1, colored_s2 = pylcs.coloring_match_sequence(match_list, s1, s2, 11, 11, "#2266ff", "#2266ff", t=2)
print(colored_s1, colored_s2)
colored_s1, colored_s2 = pylcs.coloring_match_sequence(match_list, s1, s2, 11, 11, "#2266ff", "#2266ff", t=3)
print(colored_s1, colored_s2)

s1, s2 = "How does this string edit to s2?", "How similar is this string to s1?"
match_list = pylcs.edit_distance_idx(s1, s2)
colored_s1, colored_s2 = pylcs.coloring_match_sequence(match_list, s1, s2, 4, 4, 230, 230, t=2)
print(colored_s1, colored_s2, sep='\n')

Note that the colorful output uses ANSI escape codes. Referring to https://en.wikipedia.org/wiki/ANSI_escape_code.

The ANSI codes may not work in win32 command line.

FAQs


Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc