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        "author": "julien tayon",
        "author_email": "julien@tayon.net",
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        "description": ".. image:: https://travis-ci.org/jul/archery.svg?branch=master\n    :target: https://travis-ci.org/jul/archery\n\n.. image:: https://badge.fury.io/py/archery.svg\n    :target: https://badge.fury.io/py/archery\n\n.. image:: https://codecov.io/gh/jul/archery/branch/master/graph/badge.svg\n  :target: https://codecov.io/gh/jul/archery\n\n.. image:: https://readthedocs.org/projects/archery/badge/?version=latest\n    :target: https://archery.readthedocs.io/en/latest/?badge=latest\n    :alt: Documentation Status\n\n\n.. image:: https://img.shields.io/badge/py2.7|3.3|3.4|3.5|3.6|3.7-ok-brightgreen.svg\n\n\n\n* Source : https://github.com/jul/archery\n* Tickets : https://github.com/jul/archery/issues?state=open\n* Latest documentation : http://archery.readthedocs.org/en/latest/index.html\n\nWhat is archery?\n================\n\nIt is set of Mixins to use on MutableMapping giving the following features :\n\n- Linear Algebrae;\n- Vector like metrics;\n- Searchable behaviour;\n\nfor convenience 3 concrete classes are provided :\n\n- `mdict`_ (dict that follow the rules of linear algebrae based on dict);\n- `vdict`_ (dict that have cos, abs, dot product);\n- `sdict`_ (dict that are easily searchable);\n\n\nBasic Usage\n===========\n\nUsing the ready to use class derived from dict\n\nmdict\n*****\n\n**dict that supports consistently all the linear algebrae properties**\n\nBasically : dict that are vectors on arbitrary basis (recursively).\n\nTo learn more about its use and implementation:\n\n- `Video presentation in FOSDEM 2017 <https://www.youtube.com/watch?v=Rd6rY5zNcGM>`_\n- `or look at the presentation <http://jul.github.io/cv/pres.html#printable>`_\n\nex::\n\n    >>> from archery import mdict\n    >>> point = mdict(x=1, y=1, z=1)\n    >>> point2 = mdict(x=1, y=-1)\n    >>> print( (2 * point + point2)/4)\n    >>> # OUT : {'y': 0.25, 'x': 0.75, 'z': 0.5}\n    >>> print(point - point2)\n    >>> # OUT : {'y': 2, 'x': 0, 'z': 1}\n    >>> b=mdict(x=2, z=-1)\n    >>> a=mdict(x=1, y=2.0)\n    >>> a+b\n    >>> # OUT: {'y': 2.0, 'x': 3, 'z': -1}\n    >>> b-a\n    >>> # OUT: {'y': -2.0, 'x': 1, 'z': -1}\n    >>> -(a-b)\n    >>> # OUT: {'y': -2.0, 'x': 1, 'z': -1}\n    >>> a+1\n    >>> # OUT: {'y': 3.0, 'x': 2}\n    >>> -1-a\n    >>> # OUT: {'y': -3.0, 'x': -2}\n    >>> a*b\n    >>> # OUT: {'x': 2}\n    >>> a/b\n    >>> # OUT: {'x': 0}\n    >>> 1.0*a/b\n    >>> # OUT: {'x': 0.5}\n\nvdict\n*****\n\n\ndict that defines *abs()*, *dot()*, *cos()* in the euclidean meaning\n\nex::\n\n   >>> from archery import vdict as Point\n   >>>\n   >>> u = Point(x=1, y=1)\n   >>> v = Point(x=1, y=0)\n   >>> u.cos(v)\n   >>> 0.7071067811865475\n   >>> u.dot(v)\n   >>> # OUT: 1\n   >>> u.cos(2*v)\n   >>> # OUT: 0.7071067811865475\n   >>> u.dot(2*v)\n   >>> #OUT: 2\n   >>> abs(u)\n   >>> #OUT: 1.4142135623730951\n   >>> u3 = Point(x=1, y=1, z=2)\n   >>> u4 = Point(x=1, y=3, z=4)\n   >>> u3 + u4\n   >>> #OUT: dict(x=2, y=4, z=6)\n   >>> assert u4 + u4 == 2*u4\n   >>> from archery import vdict\n   >>> from math import acos, pi\n   >>> point = vdict(x=1, y=1, z=1)\n   >>> point2 = vdict(x=1, y=-1)\n   >>> point2 = mdict(x=1, y=-1)\n   >>> print( (2 * point + point2)/4)\n   >>> # OUT : {'y': 0.25, 'x': 0.75, 'z': 0.5}\n   >>> print(acos(vdict(x=1,y=0).cos(vdict(x=1, y=1)))*360/2/pi)\n   >>> # OUT : 45.0\n   >>> print(abs(vdict(x=1, y=1)))\n   >>> # OUT : 1.41421356237\n   >>> print(vdict(x=1,y=0,z=3).dot(vdict(x=1, y=1, z=-1)))\n   >>> #OUT -2\n\n\nsdict\n*****\n\ndict made for searching value/keys/*Path* with special interests.\n\nBasically, it returns an iterator in the form of a tuple being all the keys and the value.\nIt is a neat trick, if you combine it with *make_from_path*, it helps select exactly what you want in a dict::\n\n\n    >>> from archery import sdict, make_from_path\n    >>> tree = sdict(\n    ...      a = 1,\n    ...      b = dict(\n    ...          c = 3.0,\n    ...          d = dict(e=True)\n    ...      ),\n    ...      point = dict( x=1, y=1, z=0),\n    ... )\n    >>> list(tree.leaf_search(lambda x: type(x) is float ))\n    >>> #Out: [3.0]\n    >>> res = list(tree.search(lambda x: (\"point\") in x ))\n    >>> ## equivalent to list(tree.search(lambda x: Path(x).contains(\"point\")))\n    >>> print(res)\n    >>> #Out: [('point', 'y', 1), ('point', 'x', 1), ('point', 'z', 0)]\n    >>> make_from_path(dict(), res)\n    >>> # {('point', 'y', 1): {('point', 'x', 1): ('point', 'z', 0)}}\n\n\nAdvanced usage\n==============\n\nThis library is a proof of the consistent use of Mixins on `MutableMapping <https://docs.python.org/3.7/library/collections.abc.html?highlight=mutablemapping#collections.abc.MutableMapping>`_ gives the property seen in the basic usage.\n\n\nThe Mixins do not require any specifics regarding the implementation and **should** work if I did my job properly with\nany kinds of *MutableMapping*.\n\nHere is an example of a cosine similarities out of the box on the *Collections.Counter* ::\n\n    >>> from collections import Counter\n    >>> from archery import VectorDict\n    >>> class CWCos(VectorDict, Counter):\n    ...     pass\n    >>>\n    >>> CWCos([\"mot\", \"wut\", \"wut\", \"bla\"]).cos(CWCos([\"mot\",\"wut\", \"bla\"]))\n    >>> # OUT: 0.942809041582\n\nYou can also inherit LinearAlgebrae\n\n\nResource\n********\n\nTicketing: https://github.com/jul/archery/issues?state=open\nSource: https://github.com/jul/archery\nLatest documentation: http://archery.readthedocs.org/en/latest/index.html",
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