sigalike 1.0.4

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sigalike

sigalike is a Python module that provides a simple and efficient way to calculate the shifted sigmoid similarity score between two strings. The shifted sigmoid similarity score acts as a fuzzy string matching metric, allowing for the comparison of strings with varying levels of similarity.

The module provides two main functions: shifted_sigmoid_similarity and best_match. The shifted_sigmoid_similarity function calculates the shifted sigmoid similarity score between two input strings, while the best_match function returns the best match(es) between two collections or a string and a collection based on the shifted sigmoid similarity score.

The module includes basic built-in preprocessing for the input strings, which removes punctuation and converts all characters to lowercase. This preprocessing step helps to improve the accuracy of the similarity score.

Overall, sigalike is a lightweight and easy-to-use tool for fuzzy string matching in Python. It can be useful in various applications, such as text classification, search engines, and data cleaning.

Installation

sigalike requires Python >=3.9 and can be installed via:

pip install sigalike

Usage

from sigalike import shifted_sigmoid_similarity, best_match

shifted_sigmoid_similarity("make up", "make up make up")  # 1.0
shifted_sigmoid_similarity("lazy dog", "the quick brown fox jumps over the lazy dog", shift=8)  # 0.8807970779778824

best_match("hello world", ["hello world", "goodbye world"])  # BestMatch(match='hello world', score=1.0)
best_match(
    "hello world", ["goodbye world", "hi mom", "tell the world I said hello"], shift=2
)  # BestMatch(match='goodbye world', score=0.2310585786300049)