semvec/pypi-packages huggingface dataset:
djorm-hstore-editor 0.1.0
djorm-ext-hstore extension
License: MIT

================
djorm-hstore-editor
================

Поле модели с удобным виджетом для редактирования плоского массива HStore


Установка
==========

* Добавьте hstore_editor в INSTALLED_APPS
* Замените поле DictionaryField из состава djorm-ext-hstore на `hstore_editor.fields.DictionaryField`
* Выполните python manage.py collectstatic

Пример:
-------
.. image:: http://habrastorage.org/storage2/94c/2aa/60b/94c2aa60b99d1f6110d82a7b26d60bc5.png
sieve 0.1.9
XML Comparison Utils
License: MIT

Ripped from `FormEncode <http://pypi.python.org/pypi/FormEncode>`_ and `strainer
<http://pypi.python.org/pypi/strainer>`_ just to support Pythons 2 and 3.
Intended for use in your webapp test suites.

Build Status
------------

.. |master| image:: https://secure.travis-ci.org/ralphbean/sieve.png?branch=master
   :alt: Build Status - master branch
   :target: http://travis-ci.org/#!/ralphbean/sieve

.. |develop| image:: https://secure.travis-ci.org/ralphbean/sieve.png?branch=develop
   :alt: Build Status - develop branch
   :target: http://travis-ci.org/#!/ralphbean/sieve

+----------+-----------+
| Branch   | Status    |
+==========+===========+
| master   | |master|  |
+----------+-----------+
| develop  | |develop| |
+----------+-----------+


For Example
-----------

There are two main functions you might care to use: ``eq_xml``
and ``in_xml``::

    >>> from sieve.operators import eq_xml, in_xml
    >>> a = "<foo><bar>Value</bar></foo>"
    >>> b = """
    ... <foo>
    ...     <bar>
    ...         Value
    ...     </bar>
    ... </foo>
    ... """
    >>> eq_xml(a, b)
    True
    >>> c = "<html><body><foo><bar>Value</bar></foo></body></html"
    >>> in_xml(a, c)  # 'needle' in a 'haystack'
    True

There are also two sibling convenience functions: ``assert_eq_xml``
and ``assert_in_xml``.
fuzzydict 0.0.1
FuzzyDict, an ambiguous dictionary
License: MIT
Keywords: data structure dictionary fuzzy

**fuzzydict, an ambiguous dictionary**

.. sourcecode:: python

    >>> from fuzzydict import FuzzyDict
    >>> fdict = FuzzyDict(0.5) # setting a threshold range from 0.0 to 1.0
    >>> # < Assign some values to the 'fdict'>
    >>> fdict
    >>> {'0123456789': 0, 'X123456789': 1, 'XX23456789': 2, 'XXX3456789': 3, 'XXXX456789': 4, 'XXXXX56789': 5, 'XXXXXX6789': 6, 'XXXXXXX789': 7, 'XXXXXXXX89':8, 'XXXXXXXXX9':9, 'XXXXXXXXXX': 10}
    >>> [key for key in fdict.fuzzy_keys('0123456789')]
    ['0123456789', 'X123456789', 'XX23456789', 'XXX3456789', 'XXXX456789', 'XXXXX56789']
    >>> [value for value in fdict.fuzzy_values('0123456789')]
    [0, 1, 2, 3, 4, 5]
    >>> fdict.fuzzy_add('0123456789', 1) # bulk add
    >>> [(k, v) for (k, v) in fdict.fuzzy_items('0123456789')]
    [('0123456789', 1), ('X123456789', 2), ('XX23456789', 3), ('XXX3456789', 4), ('XXXX456789', 5), ('XXXXX56789', 6)] 
    >>> fdict['0123456789'] # You can also access a FuzzyDict as a normal dict
    1