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tldry

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0.3.4

tldry-0.3.4-py3-none-any.whl

Wheel Details

Project:	tldry
Version:	0.3.4
Filename:	tldry-0.3.4-py3-none-any.whl
Download:	[link]
Size:	6411
MD5:	`b091e057c9f60acecb95058d5c770764`
SHA256:	`35e8f4a022b62a60ef70efd3cd4e73dd36c47cd30ceb1c554aedd5e0b7b5bfcc`
Uploaded:	2018-09-11 14:44:56 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version:	2.1
Name:	tldry
Version:	0.3.4
Summary:	Automatic text summarizer based on textrank algorithm
Author:	Artem Vang
Author-Email:	vangogius[at]gmail.com
Home-Page:	https://github.com/vangaa/tldry
License:	MIT License
Classifier:	Programming Language :: Python
Classifier:	Intended Audience :: Developers
Classifier:	Programming Language :: Python :: 3.6
Classifier:	Topic :: Software Development :: Libraries :: Python Modules
Classifier:	Programming Language :: Python :: Implementation :: CPython
Requires-Dist:	numpy
Requires-Dist:	regex
Requires-Dist:	PyStemmer (==1.3.0)

[No description]

WHEEL

Wheel-Version:	1.0
Generator:	bdist_wheel (0.31.1)
Root-Is-Purelib:	true
Tag:	py3-none-any

RECORD

Path	Digest	Size
tldry/__init__.py	sha256=cUbL-sNU_iZaGTiP58RhKRG6SyWzxzPForVpbV8xp-g	25
tldry/nlp.py	sha256=8O8x_dzrVB3XR9WOpP1pzozIwo16uUr070KOF4QLtKU	2303
tldry/pdist_maker.py	sha256=Tp7jq3iA_NgjkBv_CPtBx2pz5g5H2szV-W6UyxZWIDs	1453
tldry/tldry.py	sha256=f81iV9LCmE3dmaG59TiVBd8yxagsP9jkTfnEOCADZWA	2223
tldry/stopwords/__init__.py	sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU	0
tldry/stopwords/english.py	sha256=qlyRHeGT2_c_nYe1Pb1SxDVpqtkPSszpALHqPFJlG5U	1793
tldry/stopwords/russian.py	sha256=F2OqHjvihsShEWkEd9Q-hoS5fHf138Frso4QgQHiTEw	7522
tldry-0.3.4.dist-info/METADATA	sha256=mCD8Tn_QitZNL1Q3-J1ukYPmOAHrjWVQxOGdDsYcLSY	617
tldry-0.3.4.dist-info/RECORD	—	—
tldry-0.3.4.dist-info/WHEEL	sha256=NzFAKnL7g-U64xnS1s5e3mJnxKpOTeOtlXdFwS9yNXI	92
tldry-0.3.4.dist-info/top_level.txt	sha256=1lBWV1TH0OVe4A371jTkEVtY3R1MIxjh0ReSC5W8MiM	6

top_level.txt

tldry