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grooming

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0.5	grooming-0.5-py3-none-any.whl

Wheel Details

Project:	grooming
Version:	0.5
Filename:	grooming-0.5-py3-none-any.whl
Download:	[link]
Size:	4040
MD5:	`0e745971c0222c06f03aa1502499c490`
SHA256:	`23272425faa060619858ac6c8346b4bce2dd640a60f6d44ebd12ecc99d90387f`
Uploaded:	2020-10-30 12:59:37 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	grooming
Version:	0.5
Summary:	Grooming is a easiest way to clean-up the text
Author:	Jayant Singh
Author-Email:	jayantsingh75[at]gmail.com
Home-Page:	https://github.com/jaysin60/grooming
Classifier:	Programming Language :: Python :: 3
Classifier:	License :: OSI Approved :: MIT License
Classifier:	Operating System :: OS Independent
Requires-Python:	>=3.6
Requires-Dist:	nltk
Requires-Dist:	word2number

[No description]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.34.2)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
grooming/__init__.py	sha256=JAkeigbDSbjZru8UbvV3lfcdVhem444eVR2FOAz6X3s	110
grooming/lemma.py	sha256=hPLO1jAURJ3do_x8PyKlypRIBQ4b44EvA4BFH2WtKw0	2236
grooming/txt.py	sha256=79aQMVcqC44PSKIp9lNZO7MzMsxS9sj-SeLXzy9ZplI	4889
grooming-0.5.dist-info/METADATA	sha256=kQoTZDtSHnFUC7HCPWAZ2-TjFOSP-fFO4TZ1YwzaDPg	475
grooming-0.5.dist-info/WHEEL	sha256=YUYzQ6UQdoqxXjimOitTqynltBCkwY6qlTfTh2IzqQU	97
grooming-0.5.dist-info/top_level.txt	sha256=-oVVJKrmFnHiYaq8q__D8L3EineXjyg1U6nZO-UPzgk	9
grooming-0.5.dist-info/RECORD	—	—

top_level.txt

grooming