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1.0.0a12 giganticode_dataprep-1.0.0a12-py3-none-any.whl

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Project: giganticode-dataprep
Version: 1.0.0a12
Filename: giganticode_dataprep-1.0.0a12-py3-none-any.whl
Download: [link]
Size: 245970
MD5: 045368b55051956f15d2672d8582d3b5
SHA256: 0069e70e7da1d97d8253b8a340d83184b1bfffd4419efb1e17a01650071e7266
Uploaded: 2020-01-15 08:39:53 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: giganticode-dataprep
Version: 1.0.0a12
Summary: A toolkit for pre-processing large source code corpora
Author: giganticode
Author-Email: hlibbabii[at]gmail.com
Home-Page: http://github.com/giganticode/dataprep
License: MIT
Keywords: big large data source code corpus machine learning pre-processing nlp
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Topic :: Software Development :: Pre-processors
Requires-Python: >=3.6
Requires-Dist: appdirs (==1.4.3)
Requires-Dist: dill (==0.3.1.1)
Requires-Dist: docopt (==0.6.2)
Requires-Dist: docopt-subcommands (==3.0.0)
Requires-Dist: jsons (==1.0.0)
Requires-Dist: nltk (==3.4.5)
Requires-Dist: Pygments (==2.5.2)
Requires-Dist: PyYAML (==5.1.2)
Requires-Dist: regex (==2019.11.1)
Requires-Dist: tqdm (==4.39.0)
Description-Content-Type: text/markdown
[Description omitted; length: 10852 characters]

WHEEL

Wheel-Version: 1.0
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Root-Is-Purelib: true
Tag: py3-none-any

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top_level.txt

dataprep
tests

entry_points.txt

[console_scripts]
dataprep = dataprep.__main__:main