SqueakyCleanText

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0.3.0 SqueakyCleanText-0.3.0-py3-none-any.whl

Wheel Details

Project: SqueakyCleanText
Version: 0.3.0
Filename: SqueakyCleanText-0.3.0-py3-none-any.whl
Download: [link]
Size: 23898
MD5: acca0bce9753268288d08b0bc4bfdabe
SHA256: 3c82795df50257d6eb4c6fc90e6bb6fd85d7aebf5966aa070cedc334bd878bf3
Uploaded: 2024-11-13 17:40:26 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: SqueakyCleanText
Version: 0.3.0
Summary: A comprehensive text cleaning and preprocessing pipeline.
Author: Rehan Fazal
Home-Page: https://github.com/rhnfzl/SqueakyCleanText
License: MIT
Keywords: text cleaning,text preprocessing,NLP,natural language processing
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Text Processing
Requires-Python: >=3.10
Requires-Dist: lingua-language-detector (>=2.0.2)
Requires-Dist: nltk (>=3.8)
Requires-Dist: emoji (>=2.8)
Requires-Dist: ftfy (>=6.1)
Requires-Dist: Unidecode (>=1.3)
Requires-Dist: beautifulsoup4 (>=4.12)
Requires-Dist: transformers (>=4.30)
Requires-Dist: torch (>=2.0.0)
Requires-Dist: presidio-anonymizer (>=2.2.355)
Requires-Dist: hypothesis (==6.82.7); extra == "dev"
Requires-Dist: faker (==20.1.0); extra == "dev"
Requires-Dist: flake8 (==6.1.0); extra == "dev"
Requires-Dist: pytest (==7.5.0); extra == "dev"
Requires-Dist: timeout-decorator (==0.5.0); extra == "dev"
Requires-Dist: coverage (==7.3.1); extra == "test"
Requires-Dist: pytest-cov (==4.1.0); extra == "test"
Provides-Extra: dev
Provides-Extra: test
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 4667 characters]

WHEEL

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Generator: bdist_wheel (0.45.0)
Root-Is-Purelib: true
Tag: py3-none-any

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top_level.txt

sct
tests

entry_points.txt

nltk_downloader = sct.scripts.download_nltk_stopwords:main