Delete tools/telemetry.

tools/telemetry/third_party/altgraph/altgraph/__init__.py

Index: tools/telemetry/third_party/altgraph/altgraph/__init__.py
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-'''
-altgraph - a python graph library
-=================================
-
-altgraph is a fork of `graphlib <http://pygraphlib.sourceforge.net>`_ tailored
-to use newer Python 2.3+ features, including additional support used by the
-py2app suite (modulegraph and macholib, specifically).
-
-altgraph is a python based graph (network) representation and manipulation package.
-It has started out as an extension to the `graph_lib module <http://www.ece.arizona.edu/~denny/python_nest/graph_lib_1.0.1.html>`_
-written by Nathan Denny it has been significantly optimized and expanded.
-
-The :class:`altgraph.Graph.Graph` class is loosely modeled after the `LEDA <http://www.algorithmic-solutions.com/enleda.htm>`_
-(Library of Efficient Datatypes)  representation. The library
-includes methods for constructing graphs, BFS and DFS traversals,
-topological sort, finding connected components, shortest paths as well as a number
-graph statistics functions. The library can also visualize graphs
-via `graphviz <http://www.research.att.com/sw/tools/graphviz/>`_.
-
-The package contains the following modules:
-
-    -  the :py:mod:`altgraph.Graph` module contains the :class:`~altgraph.Graph.Graph` class that stores the graph data
-
-    -  the :py:mod:`altgraph.GraphAlgo` module implements graph algorithms operating on graphs (:py:class:`~altgraph.Graph.Graph`} instances)
-
-    -  the :py:mod:`altgraph.GraphStat` module contains functions for computing statistical measures on graphs
-
-    -  the :py:mod:`altgraph.GraphUtil` module contains functions for generating, reading and saving graphs
-
-    -  the :py:mod:`altgraph.Dot` module  contains functions for displaying graphs via `graphviz <http://www.research.att.com/sw/tools/graphviz/>`_
-
-    -  the :py:mod:`altgraph.ObjectGraph` module implements a graph of objects with a unique identifier
-
-Installation
-------------
-
-Download and unpack the archive then type::
-
-    python setup.py install
-
-This will install the library in the default location. For instructions on
-how to customize the install procedure read the output of::
-
-    python setup.py --help install
-
-To verify that the code works run the test suite::
-
-    python setup.py test
-
-Example usage
--------------
-
-Lets assume that we want to analyze the graph below (links to the full picture) GRAPH_IMG.
-Our script then might look the following way::
-
-    from altgraph import Graph, GraphAlgo, Dot
-
-    # these are the edges
-    edges = [ (1,2), (2,4), (1,3), (2,4), (3,4), (4,5), (6,5),
-        (6,14), (14,15), (6, 15),  (5,7), (7, 8), (7,13), (12,8),
-        (8,13), (11,12), (11,9), (13,11), (9,13), (13,10) ]
-
-    # creates the graph
-    graph = Graph.Graph()
-    for head, tail in edges:
-        graph.add_edge(head, tail)
-
-    # do a forward bfs from 1 at most to 20
-    print(graph.forw_bfs(1))
-
-This will print the nodes in some breadth first order::
-
-    [1, 2, 3, 4, 5, 7, 8, 13, 11, 10, 12, 9]
-
-If we wanted to get the hop-distance from node 1 to node 8
-we coud write::
-
-    print(graph.get_hops(1, 8))
-
-This will print the following::
-
-    [(1, 0), (2, 1), (3, 1), (4, 2), (5, 3), (7, 4), (8, 5)]
-
-Node 1 is at 0 hops since it is the starting node, nodes 2,3 are 1 hop away ...
-node 8 is 5 hops away. To find the shortest distance between two nodes you
-can use::
-
-    print(GraphAlgo.shortest_path(graph, 1, 12))
-
-It will print the nodes on one (if there are more) the shortest paths::
-
-    [1, 2, 4, 5, 7, 13, 11, 12]
-
-To display the graph we can use the GraphViz backend::
-
-    dot = Dot.Dot(graph)
-
-    # display the graph on the monitor
-    dot.display()
-
-    # save it in an image file
-    dot.save_img(file_name='graph', file_type='gif')
-
-
-
-..
-  @author: U{Istvan Albert<http://www.personal.psu.edu/staff/i/u/iua1/>}
-
-  @license:  MIT License
-
-  Copyright (c) 2004 Istvan Albert unless otherwise noted.
-
-  Permission is hereby granted, free of charge, to any person obtaining a copy of this software
-  and associated documentation files (the "Software"), to deal in the Software without restriction,
-  including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense,
-  and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do
-  so.
-
-  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED,
-  INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
-  PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE
-  FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE,
-  ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
-  THE SOFTWARE.
-  @requires: Python 2.3 or higher
-
-  @newfield contributor: Contributors:
-  @contributor: U{Reka Albert <http://www.phys.psu.edu/~ralbert/>}
-
-'''
-import pkg_resources
-__version__ = pkg_resources.require('altgraph')[0].version
-
-class GraphError(ValueError):
-    pass