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A library for Natural Language Processing style preprocessing for source code in different languages

Project description

sourCy

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A library for NLP like preprocessing for source code in different programming languages. The architecture follows the one of spaCy.

Features

  • Grammar based parsing

  • Multilanguage Support

Usage

To use sourCy in a project:

import sourcy

code = """
        # This function computes the factor of the argument passed
        def print_factors(x):
            print("The factors of",x,"are:")

            for i in range(1, x + 1):
                if x % i == 0:
                print(i)

        num = 320

        print_factors(num)
        """

# Creates a pipeline to process source code
scp = sourcy.load("python")

# Process the code and create a document with the tokens and the annotation
doc = scp(code)

for token in doc:
    print(token.token, token.annotation, token.block)

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

0.1.0 (2020-08-11)

  • First release on PyPI.

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