semvec/pypi-packages huggingface dataset:
KitchenSink 0.1.0
a smarter pager
License: MIT

==================
Kitchen Sink Pager
==================

The Kitchen Sink Pager is a pager that does more, but its primary feature is
adding per file syntax highlighting to git diffs.


Installation
============

pip install KitchenSink

Examples
=========
::

    # use it for paging. sometimes, it can even figure out
    # the filetype and add syntax highlighting. (press 's')
    cat some_file.py | kk

    # Use it as a quick file jumper for grep results.
    # Press 'lf' to quickly view a file in the current buffer
    grep * -Rn my_string | kk

    # Use it as a git log viewer.
    # press 'lo' to [l]ist all git [o]bjects
    # press 'lf' to [list] [f]iles in the buffer
    git log | kk

    # it does git diff highlighting, too
    # press 's' to toggle highlighting
    git log --color -n1 -p | kk

    # if there are numbers in the buffer,
    # the kitchen sink math them with 'm'
    cat lots_of_numbers.txt | kk


Screenshots
-------------------


KitchenSink syntax highlighting

.. image:: https://raw.github.com/okayzed/kk.py/master/images/kk.png


KitchenSink syntax highlighting vs. the traditional git diff highlighting

.. image:: https://raw.github.com/okayzed/kk.py/master/images/kk_vs_less.png

Changing Syntax Coloring
------------------------

if the syntax coloring style isn't your style or isn't showing up well, you can
use any of pygments other available styles by setting KK_STYLE environment variable.

    # listing the styles

    python -c "import pygments.styles; print pygments.styles.STYLE_MAP.keys()"

    # changing the style to vim. put this in .bashrc if you always want it

    export KK_STYLE=vim


Why another pager?
------------------

why not? operating on pipe output is one of the slower parts of my workflow.
this is an attempt to make it more bearable.
webstruct 0.6
A library for creating statistical NER systems that work on HTML data
License: MIT

Webstruct
=========

.. image:: https://img.shields.io/pypi/v/webstruct.svg
   :target: https://pypi.python.org/pypi/webstruct
   :alt: PyPI Version

.. image:: https://travis-ci.org/scrapinghub/webstruct.svg?branch=master
   :target: https://travis-ci.org/scrapinghub/webstruct
   :alt: Build Status

.. image:: https://codecov.io/gh/scrapinghub/webstruct/branch/master/graph/badge.svg
   :target: https://codecov.io/gh/scrapinghub/webstruct
   :alt: Code Coverage

.. image:: https://readthedocs.org/projects/webstruct/badge/?version=latest
   :target: http://webstruct.readthedocs.io/en/latest/
   :alt: Documentation


Webstruct is a library for creating statistical NER_ systems that work
on HTML data, i.e. a library for building tools that extract named
entities (addresses, organization names, open hours, etc) from webpages.

Unlike most NER systems, webstruct works on HTML data, not only
on text data. This allows to define features that use HTML structure,
and also to embed annotation results back into HTML.

Read the docs_ for more info.

License is MIT.

.. _docs: http://webstruct.readthedocs.io/en/latest/
.. _NER: http://en.wikipedia.org/wiki/Named-entity_recognition

Contributing
------------

* Source code: https://github.com/scrapinghub/webstruct
* Bug tracker: https://github.com/scrapinghub/webstruct/issues

To run tests, make sure tox_ is installed, then run
``tox`` from the source root.

.. _tox: https://tox.readthedocs.io/en/latest/
apigw-wsgi-handler 1.0.0
API Gateway WSGI handler
License: MIT

.. image:: http://img.shields.io/pypi/v/apigw_wsi_handler.svg
   :target: https://pypi.python.org/pypi/apigw_wsi_handler

.. image:: https://travis-ci.org/arttii/apigw_wsi_handler.svg?branch=master
    :target: https://travis-ci.org/arttii/apigw_wsi_handler

.. image:: http://img.shields.io/badge/license-MIT-green.svg
   :target: https://github.com/arttii/apigw_wsi_handler/blob/master/LICENSE

apigw_wsi_handler is a Python 2 and 3 Package to proxy AWS API Gateway request to WSGI call.

This is almost fully lifted from https://github.com/logandk/serverless-wsgi. 

I just needed a seperate module.