semvec/pypi-packages huggingface dataset:
clipboard_memo 0.2
A command-line clipboard manager
License: MIT
Keywords: clipboard memo manager command-line CLI

``$ cmemo``
===========

A command line clipboard manager written in Python.

This clipboard manager is intended to be used without opening any
additional screen. Once setup the only required step is to hit a key
combination to save the current contents of the clipboard for later use.

.. image:: https://landscape.io/github/arafsheikh/clipboard-memo/master/landscape.svg?style=flat
   :target: https://landscape.io/github/arafsheikh/clipboard-memo/master
   :alt: Code Health

Dependencies
------------

``pyperclip`` python package is required. This package will be automatically installed.

*On some Linux distros ``xclip`` package may be required.* Install it
with ``sudo apt-get install xclip`` on Ubuntu if you cannot save memos.

Installation
------------

-  Using Pypi, ``pip install clipboard_memo``

-  Now bind a key-combination to the ``cmemo_direct`` command to save
   memos directly with a single keystroke.

For example, for Ubuntu follow the instructions `here`_ and type
``cmemo_direct`` in the ``Command`` field.

Usage
-----

To see the help screen type:

.. code:: text

    $ cmemo -h

    usage: clipboard_memo <command> [<args>]
    Available commands are:
        save                Save the contents of clipboard
        delete INDEX        Delete a memo of given index number
        delete -a | --all   Delete all saved memos
        ls                  List all saved memos
        yank INDEX          Copy a memo to clipboard

    Save clipboard data as memos

    positional arguments:
      command     Subcommand to run

    optional arguments:
      -h, --help  show this help message and exit

Todo
----

-  Move from ``pickle`` to ``sqlite3``
-  Add colors
-  Shrink multi-line memos

License
-------

MIT

.. _here: http://askubuntu.com/a/331632
icePick 0.0.5
icePick is a All in one Package library for easy Scraping
License: MIT
Keywords: scraping

IcePick
===================

IcePick is a All in one Package library for easy Scraping

--------------

Concept
-------

-  Lightweight Scraping Library
-  All in one Package library for easy Scraping

Requirements
------------

-  Python 3.4 or later(not support 2.x)
-  MongoDB

Dependencies Libraries
----------------------

-  aiohttp
-  beautifulsoup4
-  pymongo >= 3.0
-  nose

Usage
-----

Scraping Flow,

::

    Your Scraping Order(Order) -> Do Scraping(Picker) -> HTML Parse(Parser) -> Save in Database(Recorder)

Example
-------

get a my repository filenames

.. code:: python


    import icePick

    db = icePick.get_database('icePick_example', 'localhost')


    class GithubRepoParser(icePick.Parser):
        def serialize(self):
            result = {
                "files": [],
            }

            for v in self.bs.find_all(class_="js-directory-link"):
                result['files'] += [v.text]
            return result


    class GithubRepoRecorder(icePick.Recorder):
        struct = icePick.Structure(files=list())

        class Meta:
            database = db


    class GithubRepoOrder(icePick.Order):
        recorder = GithubRepoRecorder
        parser = GithubRepoParser


    def main():
        document = {
            'url': 'https://github.com/teitei-tk/ice-pick/tree/master',
            'ua': 'Mozilla/5.0 (Windows NT 6.3; Trident/7.0; rv:11.0) like Gecko',
        }

        print('---download start---')
        order = GithubRepoOrder(document.get('url'), document.get('ua'))
        picker = icePick.Picker([order])
        picker.run()
        print("---finish---")

    if __name__ == "__main__":
        main()

::

    >>> import icePick
    >>> db = icePick.get_database('icePick_example', 'localhost')
    >>> class GithubRepoRecorder(icePick.Recorder):
    ...     struct = icePick.Structure(files=list())
    ...     class Meta:
    ...         database = db
    ...
    >>> records = GithubRepoRecorder.find()
    >>> records[0].files
    ['example', 'icePick', 'tests', 'LICENSE', 'README.md', 'circle.yml', 'requirements.txt']
    >>>

TODO
----

-  Crawling
-  Document

LICENSE
-------

-  MIT
paperwrap 0.14.3
API Wrapper and command line client forthe open-source note taking tool paperwork
License: MIT
Keywords: paperwork rocks twostairs api wrapper paperwrap

Paperwork API Wrapper and Command Line Client
=============================================

| |Build Status| |Scrutinizer Code Quality|
| `paperwork <https://github.com/twostairs/paperwork>`__ is 'an open
source note-taking and archiving tool'.

| Supported: python 2.7, 3.3+
| Tests can be run with ``./run_tests.py``.

PyPI entry: `paperwrap <https://pypi.python.org/pypi/paperwrap/>`__

| ``wrapper.py`` is the actual api-wrapper.
| ``models.py`` contains classes for paperwork-instances, notebooks,
notes and tags.
| ``paperwork.py`` is a command-line client with the entry-point
``paperwrap``.

Command Line Interface
======================

``paperwrap`` connects to the remote host and provides a command line
interface to manage the notes. The credentials are read with requests
from the ``.netrc`` file.

.. |Build Status| image:: https://travis-ci.org/ntnn/paperwork.py.svg?branch=master
   :target: https://travis-ci.org/ntnn/paperwork.py
.. |Scrutinizer Code Quality| image:: https://scrutinizer-ci.com/g/ntnn/paperwork.py/badges/quality-score.png?b=master
   :target: https://scrutinizer-ci.com/g/ntnn/paperwork.py/?branch=master
summarise 0.0.9
Text Summarisation for Python
License: MIT

summarise - Python Text Summarisation module
============================================

This module is currently **experimental**. 

The API could change at any time. 


Installation
------------

Install with pip::

	pip install summarise

Install from github::

	git clone https://www.github.com/bonzanini/summarise
	cd summarise
	python setup.py install


Examples
--------

Code sample::

    from summarise import Summariser

    full_text = [['One', 'tokenized', 'sentence],
                 ['Another', 'sentence'],
                 ['The', 'quick', 'brown', 'fox', 'jumped']]
    summariser = Summariser(full_text)
    summary = summariser.summarise(size=2)


License
-------

MIT License, see LICENSE