🚨 Shai-Hulud Strikes Again:834 Packages Compromised.Technical Analysis →
Socket
Book a DemoInstallSign in
Socket

regexsolver

Package Overview
Dependencies
Maintainers
1
Versions
4
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

regexsolver

RegexSolver allows you to manipulate regular expressions as sets, enabling operations such as intersection, union, and subtraction.

pipPyPI
Version
1.0.3
Maintainers
1

RegexSolver Python API Client

Homepage | Documentation | Developer Console

This repository contains the source code of the Python library for RegexSolver API.

RegexSolver is a powerful regular expression manipulation toolkit, that gives you the power to manipulate regex as if they were sets.

Installation

pip install --upgrade regexsolver

Requirements

  • Python >=3.7

Usage

In order to use the library you need to generate an API Token on our Developer Console.

from regexsolver import RegexSolver, Term

RegexSolver.initialize("YOUR TOKEN HERE")

term1 = Term.regex(r"(abc|de|fg){2,}")
term2 = Term.regex(r"de.*")
term3 = Term.regex(r".*abc")

term4 = Term.regex(r".+(abc|de).+")

result = term1.intersection(term2, term3)\
              .subtraction(term4)

print(result)

Features

Intersection

Request

Compute the intersection of the provided terms and return the resulting term.

The maximum number of terms is currently limited to 10.

term1 = Term.regex(r"(abc|de){2}")
term2 = Term.regex(r"de.*")
term3 = Term.regex(r".*abc")

result = term1.intersection(term2, term3)
print(result)

Response

regex=deabc

Union

Compute the union of the provided terms and return the resulting term.

The maximum number of terms is currently limited to 10.

Request

term1 = Term.regex(r"abc")
term2 = Term.regex(r"de")
term3 = Term.regex(r"fghi")

result = term1.union(term2, term3)
print(result)

Response

regex=(abc|de|fghi)

Subtraction / Difference

Compute the first term minus the second and return the resulting term.

Request

term1 = Term.regex(r"(abc|de)")
term2 = Term.regex(r"de")

result = term1.subtraction(term2)
print(result)

Response

regex=abc

Equivalence

Analyze if the two provided terms are equivalent.

Request

term1 = Term.regex(r"(abc|de)")
term2 = Term.regex(r"(abc|de)*")

result = term1.is_equivalent_to(term2)
print(result)

Response

False

Subset

Analyze if the second term is a subset of the first.

Request

term1 = Term.regex(r"de")
term2 = Term.regex(r"(abc|de)")

result = term1.is_subset_of(term2)
print(result)

Response

True

Details

Compute the details of the provided term.

The computed details are:

  • Cardinality: the number of possible values.
  • Length: the minimum and maximum length of possible values.
  • Empty: true if is an empty set (does not contain any value), false otherwise.
  • Total: true if is a total set (contains all values), false otherwise.

Request

term = Term.regex(r"(abc|de)")

details = term.get_details()
print(details)

Response

Details[cardinality=Integer(2), length=Length[minimum=2, maximum=3], empty=false, total=false]

Generate Strings

Generate the given number of strings that can be matched by the provided term.

The maximum number of strings to generate is currently limited to 200.

Request

term = Term.regex(r"(abc|de){2}")

strings = term.generate_strings(3)
print(strings)

Response

['deabc', 'abcde', 'dede']

Keywords

Regular Expression

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