Factual package intelligence from PyPI

happiestfuntokenizing 0.0.7 package intelligence

This code is updated by author to adapt to Python3. The former version of code implements a basic, Twitter-aware tokenizer. Originally developed by Christopher Potts and updated by the World Well-Being Project based out of the University of Pennsylvania and Stony Brook University

pip install happiestfuntokenizing

Current version
0.0.7
Python requirement
Not declared
License
GNU General Public License v3 (GPLv3)
Distribution type
No wheel classification available
Release files
1 (0 wheels, 1 source)
Download size
6.2 KiB
Release history
2 releases with files
Median release cadence
12 days

happiestfuntokenizing dependencies

PyPI declares 0 unique dependency rules for this release. Environment markers are shown when supplied by the project.

This release declares no required runtime dependencies in its PyPI metadata.

Compatibility and release files

happiestfuntokenizing publishes 0 wheels and 1 source archive for version 0.0.7. Wheel platform tags: No wheel platform tags.

Declared Python classifiers: 3.6.

Metadata completeness

PyPI does not currently declare: Python requirement. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 2 releases with files. The first dated release is ; 2 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .