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scrubadub-spacy

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2.0.0 scrubadub_spacy-2.0.0-py3-none-any.whl

Wheel Details

Project: scrubadub-spacy
Version: 2.0.0
Filename: scrubadub_spacy-2.0.0-py3-none-any.whl
Download: [link]
Size: 15751
MD5: d066d05b3e4b5998984ea6ae3f0602a2
SHA256: eb50e2a5f6334b0c4c2d241e25001169a9f696e77cd3c4b8b5c5ea8bc6eb31d2
Uploaded: 2021-09-30 17:23:48 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: scrubadub-spacy
Version: 2.0.0
Summary: Use Spacy NER models to clean personally identifiable information from dirty dirty text.
Author: Thomas Bird
Author-Email: thomas.bird[at]leapbeyond.ai
Home-Page: https://github.com/LeapBeyond/scrubadub_spacy
Download-Url: https://github.com/LeapBeyond/scrubadub_spacy/archives/master
License: MIT
Classifier: Intended Audience :: Developers
Classifier: Development Status :: 5 - Production/Stable
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Text Processing
Classifier: Topic :: Utilities
Requires-Dist: scrubadub (>=2.0.0rc0)
Requires-Dist: wheel
Requires-Dist: spacy[transformers] (>=3.0.0); python_version >= "3.6"
License-File: LICENSE
[Description omitted; length: 2381 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
scrubadub_spacy/__init__.py sha256=x0z531Kymv18cByEswY05IsX1KE7x3I6p0UPgpM87Hs 88
scrubadub_spacy/detectors/__init__.py sha256=e9Nkgtl0DEmho-LurDQV7IL1IYNCYxsnl58A4FqFAZc 87
scrubadub_spacy/detectors/spacy.py sha256=8z8FX9ec8RYye_Zxg47gs68t1AtwMkXjIrlj-0jVr58 15398
scrubadub_spacy/detectors/spacy_name_title.py sha256=wpYi-5GoGbynDIJq5pfp-hm9djcyEHglV2LniO5gyFc 12404
scrubadub_spacy-2.0.0.dist-info/LICENSE sha256=mYXTyC-JixAOOZc7InKb_ezTw-U0tDugpHwvAl82Tc4 11350
scrubadub_spacy-2.0.0.dist-info/METADATA sha256=baLj1UWekAkiI5wfM5FZfOUCsdjDvnHpCPTa6zAgFr0 3600
scrubadub_spacy-2.0.0.dist-info/WHEEL sha256=ewwEueio1C2XeHTvT17n8dZUJgOvyCWCt0WVNLClP9o 92
scrubadub_spacy-2.0.0.dist-info/entry_points.txt sha256=v-wACNSZKIl6Ah2GqW0Fis4YAzBXp0OUkXQTZMjhkac 134
scrubadub_spacy-2.0.0.dist-info/top_level.txt sha256=HfnsXQYyPD7moidxx2paoey-VQ296cNj-kia5OOVqds 16
scrubadub_spacy-2.0.0.dist-info/RECORD — —

top_level.txt

scrubadub_spacy

entry_points.txt

[scrubadub_detectors]
spacy = scrubadub_spacy.detectors:SpacyEntityDetector
spacy_name = scrubadub_spacy.detectors:SpacyNameDetector