mirror of
https://github.com/LCPQ/quantum_package
synced 2024-11-03 20:54:00 +01:00
2085 lines
60 KiB
Python
2085 lines
60 KiB
Python
# -*- coding: Latin-1 -*-
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"""Graphviz's dot language Python interface.
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This module provides with a full interface to create handle modify
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and process graphs in Graphviz's dot language.
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References:
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pydot Homepage: http://code.google.com/p/pydot/
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Graphviz: http://www.graphviz.org/
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DOT Language: http://www.graphviz.org/doc/info/lang.html
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Programmed and tested with Graphviz 2.26.3 and Python 2.6 on OSX 10.6.4
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Copyright (c) 2005-2011 Ero Carrera <ero.carrera@gmail.com>
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Distributed under MIT license [http://opensource.org/licenses/mit-license.html].
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"""
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__author__ = 'Ero Carrera'
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__version__ = '1.0.*'
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__license__ = 'MIT'
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import os
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import re
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import subprocess
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import tempfile
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import copy
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import dot_parser
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GRAPH_ATTRIBUTES = set(['Damping',
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'K',
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'URL',
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'aspect',
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'bb',
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'bgcolor',
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'center',
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'charset',
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'clusterrank',
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'colorscheme',
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'comment',
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'compound',
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'concentrate',
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'defaultdist',
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'dim',
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'dimen',
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'diredgeconstraints',
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'dpi',
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'epsilon',
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'esep',
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'fontcolor',
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'fontname',
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'fontnames',
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'fontpath',
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'fontsize',
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'id',
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'label',
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'labeljust',
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'labelloc',
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'landscape',
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'layers',
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'layersep',
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'layout',
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'levels',
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'levelsgap',
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'lheight',
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'lp',
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'lwidth',
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'margin',
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'maxiter',
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'mclimit',
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'mindist',
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'mode',
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'model',
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'mosek',
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'nodesep',
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'nojustify',
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'normalize',
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'nslimit',
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'nslimit1',
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'ordering',
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'orientation',
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'outputorder',
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'overlap',
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'overlap_scaling',
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'pack',
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'packmode',
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'pad',
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'page',
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'pagedir',
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'quadtree',
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'quantum',
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'rankdir',
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'ranksep',
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'ratio',
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'remincross',
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'repulsiveforce',
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'resolution',
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'root',
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'rotate',
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'searchsize',
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'sep',
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'showboxes',
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'size',
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'smoothing',
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'sortv',
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'splines',
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'start',
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'stylesheet',
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'target',
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'truecolor',
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'viewport',
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'voro_margin',
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# for subgraphs
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'rank'])
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EDGE_ATTRIBUTES = set(
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['URL', 'arrowhead', 'arrowsize', 'arrowtail', 'color', 'colorscheme',
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'comment', 'constraint', 'decorate', 'dir', 'edgeURL', 'edgehref',
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'edgetarget', 'edgetooltip', 'fontcolor', 'fontname', 'fontsize',
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'headURL', 'headclip', 'headhref', 'headlabel', 'headport', 'headtarget',
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'headtooltip', 'href', 'id', 'label', 'labelURL', 'labelangle',
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'labeldistance', 'labelfloat', 'labelfontcolor', 'labelfontname',
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'labelfontsize', 'labelhref', 'labeltarget', 'labeltooltip', 'layer',
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'len', 'lhead', 'lp', 'ltail', 'minlen', 'nojustify', 'penwidth', 'pos',
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'samehead', 'sametail', 'showboxes', 'style', 'tailURL', 'tailclip',
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'tailhref', 'taillabel', 'tailport', 'tailtarget', 'tailtooltip',
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'target', 'tooltip', 'weight', 'rank'])
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NODE_ATTRIBUTES = set(['URL',
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'color',
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'colorscheme',
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'comment',
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'distortion',
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'fillcolor',
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'fixedsize',
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'fontcolor',
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'fontname',
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'fontsize',
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'group',
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'height',
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'id',
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'image',
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'imagescale',
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'label',
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'labelloc',
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'layer',
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'margin',
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'nojustify',
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'orientation',
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'penwidth',
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'peripheries',
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'pin',
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'pos',
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'rects',
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'regular',
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'root',
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'samplepoints',
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'shape',
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'shapefile',
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'showboxes',
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'sides',
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'skew',
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'sortv',
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'style',
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'target',
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'tooltip',
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'vertices',
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'width',
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'z',
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# The following are attributes dot2tex
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'texlbl',
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'texmode'])
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CLUSTER_ATTRIBUTES = set(
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['K', 'URL', 'bgcolor', 'color', 'colorscheme', 'fillcolor', 'fontcolor',
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'fontname', 'fontsize', 'label', 'labeljust', 'labelloc', 'lheight', 'lp',
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'lwidth', 'nojustify', 'pencolor', 'penwidth', 'peripheries', 'sortv',
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'style', 'target', 'tooltip'])
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#
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# Extented version of ASPN's Python Cookbook Recipe:
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# Frozen dictionaries.
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# http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/414283
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#
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# This version freezes dictionaries used as values within dictionaries.
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#
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class frozendict(dict):
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def _blocked_attribute(obj):
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raise AttributeError("A frozendict cannot be modified.")
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_blocked_attribute = property(_blocked_attribute)
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__delitem__ = __setitem__ = clear = _blocked_attribute
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pop = popitem = setdefault = update = _blocked_attribute
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def __new__(cls, *args, **kw):
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new = dict.__new__(cls)
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args_ = []
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for arg in args:
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if isinstance(arg, dict):
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arg = copy.copy(arg)
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for k, v in arg.iteritems():
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if isinstance(v, frozendict):
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arg[k] = v
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elif isinstance(v, dict):
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arg[k] = frozendict(v)
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elif isinstance(v, list):
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v_ = list()
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for elm in v:
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if isinstance(elm, dict):
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v_.append(frozendict(elm))
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else:
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v_.append(elm)
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arg[k] = tuple(v_)
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args_.append(arg)
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else:
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args_.append(arg)
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dict.__init__(new, *args_, **kw)
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return new
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def __init__(self, *args, **kw):
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pass
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def __hash__(self):
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try:
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return self._cached_hash
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except AttributeError:
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h = self._cached_hash = hash(tuple(sorted(self.iteritems())))
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return h
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def __repr__(self):
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return "frozendict(%s)" % dict.__repr__(self)
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dot_keywords = ['graph', 'subgraph', 'digraph', 'node', 'edge', 'strict']
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id_re_alpha_nums = re.compile('^[_a-zA-Z][a-zA-Z0-9_,]*$', re.UNICODE)
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id_re_alpha_nums_with_ports = re.compile(
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'^[_a-zA-Z][a-zA-Z0-9_,:\"]*[a-zA-Z0-9_,\"]+$', re.UNICODE)
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id_re_num = re.compile('^[0-9,]+$', re.UNICODE)
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id_re_with_port = re.compile('^([^:]*):([^:]*)$', re.UNICODE)
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id_re_dbl_quoted = re.compile('^\".*\"$', re.S | re.UNICODE)
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id_re_html = re.compile('^<.*>$', re.S | re.UNICODE)
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def needs_quotes(s):
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"""Checks whether a string is a dot language ID.
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It will check whether the string is solely composed
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by the characters allowed in an ID or not.
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If the string is one of the reserved keywords it will
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need quotes too but the user will need to add them
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manually.
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"""
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# If the name is a reserved keyword it will need quotes but pydot
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# can't tell when it's being used as a keyword or when it's simply
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# a name. Hence the user needs to supply the quotes when an element
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# would use a reserved keyword as name. This function will return
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# false indicating that a keyword string, if provided as-is, won't
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# need quotes.
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if s in dot_keywords:
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return False
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chars = [ord(c) for c in s if ord(c) > 0x7f or ord(c) == 0]
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if chars and not id_re_dbl_quoted.match(s) and not id_re_html.match(s):
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return True
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for test_re in [
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id_re_alpha_nums, id_re_num, id_re_dbl_quoted, id_re_html,
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id_re_alpha_nums_with_ports
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]:
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if test_re.match(s):
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return False
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m = id_re_with_port.match(s)
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if m:
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return needs_quotes(m.group(1)) or needs_quotes(m.group(2))
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return True
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def quote_if_necessary(s):
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if isinstance(s, bool):
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if s is True:
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return 'True'
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return 'False'
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if not isinstance(s, basestring):
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return s
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if not s:
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return s
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if needs_quotes(s):
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replace = {'"': r'\"', "\n": r'\n', "\r": r'\r'}
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for (a, b) in replace.items():
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s = s.replace(a, b)
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return '"' + s + '"'
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return s
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def graph_from_dot_data(data):
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"""Load graph as defined by data in DOT format.
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The data is assumed to be in DOT format. It will
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be parsed and a Dot class will be returned,
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representing the graph.
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"""
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return dot_parser.parse_dot_data(data)
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def graph_from_dot_file(path):
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"""Load graph as defined by a DOT file.
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The file is assumed to be in DOT format. It will
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be loaded, parsed and a Dot class will be returned,
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representing the graph.
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"""
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fd = file(path, 'rb')
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data = fd.read()
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fd.close()
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return graph_from_dot_data(data)
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def graph_from_edges(edge_list, node_prefix='', directed=False):
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"""Creates a basic graph out of an edge list.
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The edge list has to be a list of tuples representing
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the nodes connected by the edge.
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The values can be anything: bool, int, float, str.
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If the graph is undirected by default, it is only
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calculated from one of the symmetric halves of the matrix.
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"""
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if directed:
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graph = Dot(graph_type='digraph')
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else:
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graph = Dot(graph_type='graph')
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for edge in edge_list:
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if isinstance(edge[0], str):
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src = node_prefix + edge[0]
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else:
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src = node_prefix + str(edge[0])
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if isinstance(edge[1], str):
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dst = node_prefix + edge[1]
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else:
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dst = node_prefix + str(edge[1])
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e = Edge(src, dst)
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graph.add_edge(e)
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return graph
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def graph_from_adjacency_matrix(matrix, node_prefix=u'', directed=False):
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"""Creates a basic graph out of an adjacency matrix.
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The matrix has to be a list of rows of values
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representing an adjacency matrix.
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The values can be anything: bool, int, float, as long
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as they can evaluate to True or False.
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"""
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node_orig = 1
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if directed:
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graph = Dot(graph_type='digraph')
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else:
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graph = Dot(graph_type='graph')
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for row in matrix:
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if not directed:
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skip = matrix.index(row)
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r = row[skip:]
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else:
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skip = 0
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r = row
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node_dest = skip + 1
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for e in r:
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if e:
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graph.add_edge(
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Edge(node_prefix + node_orig, node_prefix + node_dest))
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node_dest += 1
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node_orig += 1
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return graph
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def graph_from_incidence_matrix(matrix, node_prefix='', directed=False):
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"""Creates a basic graph out of an incidence matrix.
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The matrix has to be a list of rows of values
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representing an incidence matrix.
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The values can be anything: bool, int, float, as long
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as they can evaluate to True or False.
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"""
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node_orig = 1
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if directed:
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graph = Dot(graph_type='digraph')
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else:
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graph = Dot(graph_type='graph')
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for row in matrix:
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nodes = []
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c = 1
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for node in row:
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if node:
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nodes.append(c * node)
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c += 1
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nodes.sort()
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if len(nodes) == 2:
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graph.add_edge(
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Edge(node_prefix + abs(nodes[0]), node_prefix + nodes[1]))
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if not directed:
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graph.set_simplify(True)
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return graph
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def __find_executables(path):
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"""Used by find_graphviz
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path - single directory as a string
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If any of the executables are found, it will return a dictionary
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containing the program names as keys and their paths as values.
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Otherwise returns None
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"""
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success = False
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progs = {
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'dot': '',
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'twopi': '',
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'neato': '',
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'circo': '',
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'fdp': '',
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'sfdp': ''
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}
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was_quoted = False
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path = path.strip()
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if path.startswith('"') and path.endswith('"'):
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path = path[1:-1]
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was_quoted = True
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if os.path.isdir(path):
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for prg in progs.iterkeys():
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if progs[prg]:
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continue
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if os.path.exists(os.path.join(path, prg)):
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if was_quoted:
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progs[prg] = '"' + os.path.join(path, prg) + '"'
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else:
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progs[prg] = os.path.join(path, prg)
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success = True
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elif os.path.exists(os.path.join(path, prg + '.exe')):
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if was_quoted:
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progs[prg] = '"' + os.path.join(path, prg + '.exe') + '"'
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else:
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progs[prg] = os.path.join(path, prg + '.exe')
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success = True
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if success:
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return progs
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else:
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return None
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# The multi-platform version of this 'find_graphviz' function was
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# contributed by Peter Cock
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#
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def find_graphviz():
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"""Locate Graphviz's executables in the system.
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Tries three methods:
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First: Windows Registry (Windows only)
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This requires Mark Hammond's pywin32 is installed.
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Secondly: Search the path
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It will look for 'dot', 'twopi' and 'neato' in all the directories
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specified in the PATH environment variable.
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Thirdly: Default install location (Windows only)
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It will look for 'dot', 'twopi' and 'neato' in the default install
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location under the "Program Files" directory.
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It will return a dictionary containing the program names as keys
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and their paths as values.
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If this fails, it returns None.
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"""
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# Method 1 (Windows only)
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#
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if os.sys.platform == 'win32':
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HKEY_LOCAL_MACHINE = 0x80000002
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KEY_QUERY_VALUE = 0x0001
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RegOpenKeyEx = None
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RegQueryValueEx = None
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RegCloseKey = None
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try:
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import win32api
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import win32con
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RegOpenKeyEx = win32api.RegOpenKeyEx
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RegQueryValueEx = win32api.RegQueryValueEx
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RegCloseKey = win32api.RegCloseKey
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except ImportError:
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# Print a messaged suggesting they install these?
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#
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pass
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try:
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import ctypes
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def RegOpenKeyEx(key, subkey, opt, sam):
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result = ctypes.c_uint(0)
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ctypes.windll.advapi32.RegOpenKeyExA(
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key, subkey, opt, sam, ctypes.byref(result))
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return result.value
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def RegQueryValueEx(hkey, valuename):
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data_type = ctypes.c_uint(0)
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data_len = ctypes.c_uint(1024)
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data = ctypes.create_string_buffer(1024)
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res = ctypes.windll.advapi32.RegQueryValueExA(
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hkey, valuename, 0, ctypes.byref(data_type), data,
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ctypes.byref(data_len))
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return data.value
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RegCloseKey = ctypes.windll.advapi32.RegCloseKey
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|
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except ImportError:
|
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# Print a messaged suggesting they install these?
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#
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pass
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|
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if RegOpenKeyEx is not None:
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|
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# Get the GraphViz install path from the registry
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#
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hkey = None
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potentialKeys = [
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"SOFTWARE\\ATT\\Graphviz",
|
|
"SOFTWARE\\AT&T Research Labs\\Graphviz",
|
|
]
|
|
for potentialKey in potentialKeys:
|
|
|
|
try:
|
|
hkey = RegOpenKeyEx(HKEY_LOCAL_MACHINE, potentialKey, 0,
|
|
KEY_QUERY_VALUE)
|
|
|
|
if hkey is not None:
|
|
path = RegQueryValueEx(hkey, "InstallPath")
|
|
RegCloseKey(hkey)
|
|
|
|
# The regitry variable might exist, left by old installations
|
|
# but with no value, in those cases we keep
|
|
# searching...
|
|
if not path:
|
|
continue
|
|
|
|
# Now append the "bin" subdirectory:
|
|
#
|
|
path = os.path.join(path, "bin")
|
|
progs = __find_executables(path)
|
|
if progs is not None:
|
|
# print "Used Windows registry"
|
|
return progs
|
|
|
|
except Exception as excp:
|
|
#raise excp
|
|
pass
|
|
else:
|
|
break
|
|
|
|
# Method 2 (Linux, Windows etc)
|
|
#
|
|
if 'PATH' in os.environ:
|
|
|
|
for path in os.environ['PATH'].split(os.pathsep):
|
|
progs = __find_executables(path)
|
|
if progs is not None:
|
|
# print "Used path"
|
|
return progs
|
|
|
|
# Method 3 (Windows only)
|
|
#
|
|
if os.sys.platform == 'win32':
|
|
|
|
# Try and work out the equivalent of "C:\Program Files" on this
|
|
# machine (might be on drive D:, or in a different language)
|
|
#
|
|
|
|
if 'PROGRAMFILES' in os.environ:
|
|
|
|
# Note, we could also use the win32api to get this
|
|
# information, but win32api may not be installed.
|
|
|
|
path = os.path.join(
|
|
os.environ['PROGRAMFILES'], 'ATT', 'GraphViz', 'bin')
|
|
|
|
else:
|
|
|
|
# Just in case, try the default...
|
|
path = r"C:\Program Files\att\Graphviz\bin"
|
|
|
|
progs = __find_executables(path)
|
|
|
|
if progs is not None:
|
|
|
|
# print "Used default install location"
|
|
return progs
|
|
|
|
for path in (
|
|
'/usr/bin', '/usr/local/bin', '/opt/local/bin', '/opt/bin', '/sw/bin',
|
|
'/usr/share', '/Applications/Graphviz.app/Contents/MacOS/'):
|
|
|
|
progs = __find_executables(path)
|
|
if progs is not None:
|
|
# print "Used path"
|
|
return progs
|
|
|
|
# Failed to find GraphViz
|
|
#
|
|
return None
|
|
|
|
|
|
class Common:
|
|
"""Common information to several classes.
|
|
|
|
Should not be directly used, several classes are derived from
|
|
this one.
|
|
"""
|
|
|
|
def __getstate__(self):
|
|
|
|
dict = copy.copy(self.obj_dict)
|
|
|
|
return dict
|
|
|
|
def __setstate__(self, state):
|
|
|
|
self.obj_dict = state
|
|
|
|
def __get_attribute__(self, attr):
|
|
"""Look for default attributes for this node"""
|
|
|
|
attr_val = self.obj_dict['attributes'].get(attr, None)
|
|
|
|
if attr_val is None:
|
|
# get the defaults for nodes/edges
|
|
|
|
default_node_name = self.obj_dict['type']
|
|
|
|
# The defaults for graphs are set on a node named 'graph'
|
|
if default_node_name in ('subgraph', 'digraph', 'cluster'):
|
|
default_node_name = 'graph'
|
|
|
|
g = self.get_parent_graph()
|
|
if g is not None:
|
|
defaults = g.get_node(default_node_name)
|
|
else:
|
|
return None
|
|
|
|
# Multiple defaults could be set by having repeated 'graph [...]'
|
|
# 'node [...]', 'edge [...]' statements. In such case, if the
|
|
# same attribute is set in different statements, only the first
|
|
# will be returned. In order to get all, one would call the
|
|
# get_*_defaults() methods and handle those. Or go node by node
|
|
# (of the ones specifying defaults) and modify the attributes
|
|
# individually.
|
|
#
|
|
if not isinstance(defaults, (list, tuple)):
|
|
defaults = [defaults]
|
|
|
|
for default in defaults:
|
|
attr_val = default.obj_dict['attributes'].get(attr, None)
|
|
if attr_val:
|
|
return attr_val
|
|
else:
|
|
return attr_val
|
|
|
|
return None
|
|
|
|
def set_parent_graph(self, parent_graph):
|
|
|
|
self.obj_dict['parent_graph'] = parent_graph
|
|
|
|
def get_parent_graph(self):
|
|
|
|
return self.obj_dict.get('parent_graph', None)
|
|
|
|
def set(self, name, value):
|
|
"""Set an attribute value by name.
|
|
|
|
Given an attribute 'name' it will set its value to 'value'.
|
|
There's always the possibility of using the methods:
|
|
|
|
set_'name'(value)
|
|
|
|
which are defined for all the existing attributes.
|
|
"""
|
|
|
|
self.obj_dict['attributes'][name] = value
|
|
|
|
def get(self, name):
|
|
"""Get an attribute value by name.
|
|
|
|
Given an attribute 'name' it will get its value.
|
|
There's always the possibility of using the methods:
|
|
|
|
get_'name'()
|
|
|
|
which are defined for all the existing attributes.
|
|
"""
|
|
|
|
return self.obj_dict['attributes'].get(name, None)
|
|
|
|
def get_attributes(self):
|
|
""""""
|
|
|
|
return self.obj_dict['attributes']
|
|
|
|
def set_sequence(self, seq):
|
|
|
|
self.obj_dict['sequence'] = seq
|
|
|
|
def get_sequence(self):
|
|
|
|
return self.obj_dict['sequence']
|
|
|
|
def create_attribute_methods(self, obj_attributes):
|
|
|
|
# for attr in self.obj_dict['attributes']:
|
|
for attr in obj_attributes:
|
|
|
|
# Generate all the Setter methods.
|
|
#
|
|
self.__setattr__(
|
|
'set_' + attr,
|
|
lambda x, a=attr: self.obj_dict['attributes'].__setitem__(
|
|
a, x))
|
|
|
|
# Generate all the Getter methods.
|
|
#
|
|
self.__setattr__(
|
|
'get_' + attr, lambda a=attr: self.__get_attribute__(a))
|
|
|
|
|
|
class Error(Exception):
|
|
"""General error handling class.
|
|
"""
|
|
|
|
def __init__(self, value):
|
|
self.value = value
|
|
|
|
def __str__(self):
|
|
return self.value
|
|
|
|
|
|
class InvocationException(Exception):
|
|
"""To indicate that a ploblem occurred while running any of the GraphViz executables.
|
|
"""
|
|
|
|
def __init__(self, value):
|
|
self.value = value
|
|
|
|
def __str__(self):
|
|
return self.value
|
|
|
|
|
|
class Node(object, Common):
|
|
"""A graph node.
|
|
|
|
This class represents a graph's node with all its attributes.
|
|
|
|
node(name, attribute=value, ...)
|
|
|
|
name: node's name
|
|
|
|
All the attributes defined in the Graphviz dot language should
|
|
be supported.
|
|
"""
|
|
|
|
def __init__(self, name='', obj_dict=None, **attrs):
|
|
|
|
#
|
|
# Nodes will take attributes of all other types because the defaults
|
|
# for any GraphViz object are dealt with as if they were Node definitions
|
|
#
|
|
|
|
if obj_dict is not None:
|
|
|
|
self.obj_dict = obj_dict
|
|
|
|
else:
|
|
|
|
self.obj_dict = dict()
|
|
|
|
# Copy the attributes
|
|
#
|
|
self.obj_dict['attributes'] = dict(attrs)
|
|
self.obj_dict['type'] = 'node'
|
|
self.obj_dict['parent_graph'] = None
|
|
self.obj_dict['parent_node_list'] = None
|
|
self.obj_dict['sequence'] = None
|
|
|
|
# Remove the compass point
|
|
#
|
|
port = None
|
|
if isinstance(name, basestring) and not name.startswith('"'):
|
|
idx = name.find(':')
|
|
if idx > 0 and idx + 1 < len(name):
|
|
name, port = name[:idx], name[idx:]
|
|
|
|
if isinstance(name, (long, int)):
|
|
name = str(name)
|
|
|
|
self.obj_dict['name'] = quote_if_necessary(name)
|
|
self.obj_dict['port'] = port
|
|
|
|
self.create_attribute_methods(NODE_ATTRIBUTES)
|
|
|
|
def set_name(self, node_name):
|
|
"""Set the node's name."""
|
|
|
|
self.obj_dict['name'] = node_name
|
|
|
|
def get_name(self):
|
|
"""Get the node's name."""
|
|
|
|
return self.obj_dict['name']
|
|
|
|
def get_port(self):
|
|
"""Get the node's port."""
|
|
|
|
return self.obj_dict['port']
|
|
|
|
def add_style(self, style):
|
|
|
|
styles = self.obj_dict['attributes'].get('style', None)
|
|
if not styles and style:
|
|
styles = [style]
|
|
else:
|
|
styles = styles.split(',')
|
|
styles.append(style)
|
|
|
|
self.obj_dict['attributes']['style'] = ','.join(styles)
|
|
|
|
def to_string(self):
|
|
"""Returns a string representation of the node in dot language.
|
|
"""
|
|
|
|
# RMF: special case defaults for node, edge and graph properties.
|
|
#
|
|
node = quote_if_necessary(self.obj_dict['name'])
|
|
|
|
node_attr = list()
|
|
|
|
for attr, value in self.obj_dict['attributes'].iteritems():
|
|
if value is not None:
|
|
node_attr.append('%s=%s' % (attr, quote_if_necessary(value)))
|
|
else:
|
|
node_attr.append(attr)
|
|
|
|
# No point in having nodes setting any defaults if the don't set
|
|
# any attributes...
|
|
#
|
|
if node in ('graph', 'node', 'edge') and len(node_attr) == 0:
|
|
return ''
|
|
|
|
node_attr = ', '.join(node_attr)
|
|
|
|
if node_attr:
|
|
node += ' [' + node_attr + ']'
|
|
|
|
return node + ';'
|
|
|
|
|
|
class Edge(object, Common):
|
|
"""A graph edge.
|
|
|
|
This class represents a graph's edge with all its attributes.
|
|
|
|
edge(src, dst, attribute=value, ...)
|
|
|
|
src: source node's name
|
|
dst: destination node's name
|
|
|
|
All the attributes defined in the Graphviz dot language should
|
|
be supported.
|
|
|
|
Attributes can be set through the dynamically generated methods:
|
|
|
|
set_[attribute name], i.e. set_label, set_fontname
|
|
|
|
or directly by using the instance's special dictionary:
|
|
|
|
Edge.obj_dict['attributes'][attribute name], i.e.
|
|
|
|
edge_instance.obj_dict['attributes']['label']
|
|
edge_instance.obj_dict['attributes']['fontname']
|
|
|
|
"""
|
|
|
|
def __init__(self, src='', dst='', obj_dict=None, **attrs):
|
|
|
|
if isinstance(src, (list, tuple)) and dst == '':
|
|
src, dst = src
|
|
|
|
if obj_dict is not None:
|
|
|
|
self.obj_dict = obj_dict
|
|
|
|
else:
|
|
|
|
self.obj_dict = dict()
|
|
|
|
# Copy the attributes
|
|
#
|
|
self.obj_dict['attributes'] = dict(attrs)
|
|
self.obj_dict['type'] = 'edge'
|
|
self.obj_dict['parent_graph'] = None
|
|
self.obj_dict['parent_edge_list'] = None
|
|
self.obj_dict['sequence'] = None
|
|
|
|
if isinstance(src, Node):
|
|
src = src.get_name()
|
|
|
|
if isinstance(dst, Node):
|
|
dst = dst.get_name()
|
|
|
|
points = (quote_if_necessary(src), quote_if_necessary(dst))
|
|
|
|
self.obj_dict['points'] = points
|
|
|
|
self.create_attribute_methods(EDGE_ATTRIBUTES)
|
|
|
|
def get_source(self):
|
|
"""Get the edges source node name."""
|
|
|
|
return self.obj_dict['points'][0]
|
|
|
|
def get_destination(self):
|
|
"""Get the edge's destination node name."""
|
|
|
|
return self.obj_dict['points'][1]
|
|
|
|
def __hash__(self):
|
|
|
|
return hash(hash(self.get_source()) + hash(self.get_destination()))
|
|
|
|
def __eq__(self, edge):
|
|
"""Compare two edges.
|
|
|
|
If the parent graph is directed, arcs linking
|
|
node A to B are considered equal and A->B != B->A
|
|
|
|
If the parent graph is undirected, any edge
|
|
connecting two nodes is equal to any other
|
|
edge connecting the same nodes, A->B == B->A
|
|
"""
|
|
|
|
if not isinstance(edge, Edge):
|
|
raise Error("Can't compare and edge to a non-edge object.")
|
|
|
|
if self.get_parent_graph().get_top_graph_type() == 'graph':
|
|
|
|
# If the graph is undirected, the edge has neither
|
|
# source nor destination.
|
|
#
|
|
if ((self.get_source() == edge.get_source() and
|
|
self.get_destination() == edge.get_destination()) or (
|
|
edge.get_source() == self.get_destination() and
|
|
edge.get_destination() == self.get_source())):
|
|
return True
|
|
|
|
else:
|
|
|
|
if self.get_source() == edge.get_source(
|
|
) and self.get_destination() == edge.get_destination():
|
|
return True
|
|
|
|
return False
|
|
|
|
def parse_node_ref(self, node_str):
|
|
|
|
if not isinstance(node_str, str):
|
|
return node_str
|
|
|
|
if node_str.startswith('"') and node_str.endswith('"'):
|
|
|
|
return node_str
|
|
|
|
node_port_idx = node_str.rfind(':')
|
|
|
|
if node_port_idx > 0 and node_str[0] == '"' and node_str[
|
|
node_port_idx - 1
|
|
] == '"':
|
|
|
|
return node_str
|
|
|
|
if node_port_idx > 0:
|
|
|
|
a = node_str[:node_port_idx]
|
|
b = node_str[node_port_idx + 1:]
|
|
|
|
node = quote_if_necessary(a)
|
|
|
|
node += ':' + quote_if_necessary(b)
|
|
|
|
return node
|
|
|
|
return node_str
|
|
|
|
def to_string(self):
|
|
"""Returns a string representation of the edge in dot language.
|
|
"""
|
|
|
|
src = self.parse_node_ref(self.get_source())
|
|
dst = self.parse_node_ref(self.get_destination())
|
|
|
|
if isinstance(src, frozendict):
|
|
edge = [Subgraph(obj_dict=src).to_string()]
|
|
elif isinstance(src, (int, long)):
|
|
edge = [str(src)]
|
|
else:
|
|
edge = [src]
|
|
|
|
if (self.get_parent_graph() and
|
|
self.get_parent_graph().get_top_graph_type() and
|
|
self.get_parent_graph().get_top_graph_type() == 'digraph'):
|
|
|
|
edge.append('->')
|
|
|
|
else:
|
|
edge.append('--')
|
|
|
|
if isinstance(dst, frozendict):
|
|
edge.append(Subgraph(obj_dict=dst).to_string())
|
|
elif isinstance(dst, (int, long)):
|
|
edge.append(str(dst))
|
|
else:
|
|
edge.append(dst)
|
|
|
|
edge_attr = list()
|
|
|
|
for attr, value in self.obj_dict['attributes'].iteritems():
|
|
|
|
if value is not None:
|
|
edge_attr.append('%s=%s' % (attr, quote_if_necessary(value)))
|
|
else:
|
|
edge_attr.append(attr)
|
|
|
|
edge_attr = ', '.join(edge_attr)
|
|
|
|
if edge_attr:
|
|
edge.append(' [' + edge_attr + ']')
|
|
|
|
return ' '.join(edge) + ';'
|
|
|
|
|
|
class Graph(object, Common):
|
|
"""Class representing a graph in Graphviz's dot language.
|
|
|
|
This class implements the methods to work on a representation
|
|
of a graph in Graphviz's dot language.
|
|
|
|
graph( graph_name='G', graph_type='digraph',
|
|
strict=False, suppress_disconnected=False, attribute=value, ...)
|
|
|
|
graph_name:
|
|
the graph's name
|
|
graph_type:
|
|
can be 'graph' or 'digraph'
|
|
suppress_disconnected:
|
|
defaults to False, which will remove from the
|
|
graph any disconnected nodes.
|
|
simplify:
|
|
if True it will avoid displaying equal edges, i.e.
|
|
only one edge between two nodes. removing the
|
|
duplicated ones.
|
|
|
|
All the attributes defined in the Graphviz dot language should
|
|
be supported.
|
|
|
|
Attributes can be set through the dynamically generated methods:
|
|
|
|
set_[attribute name], i.e. set_size, set_fontname
|
|
|
|
or using the instance's attributes:
|
|
|
|
Graph.obj_dict['attributes'][attribute name], i.e.
|
|
|
|
graph_instance.obj_dict['attributes']['label']
|
|
graph_instance.obj_dict['attributes']['fontname']
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
graph_name='G',
|
|
obj_dict=None,
|
|
graph_type='digraph',
|
|
strict=False,
|
|
suppress_disconnected=False,
|
|
simplify=False, **attrs):
|
|
|
|
if obj_dict is not None:
|
|
self.obj_dict = obj_dict
|
|
|
|
else:
|
|
|
|
self.obj_dict = dict()
|
|
|
|
self.obj_dict['attributes'] = dict(attrs)
|
|
|
|
if graph_type not in ['graph', 'digraph']:
|
|
raise Error(
|
|
'Invalid type "%s". Accepted graph types are: graph, digraph, subgraph'
|
|
% graph_type)
|
|
|
|
self.obj_dict['name'] = quote_if_necessary(graph_name)
|
|
self.obj_dict['type'] = graph_type
|
|
|
|
self.obj_dict['strict'] = strict
|
|
self.obj_dict['suppress_disconnected'] = suppress_disconnected
|
|
self.obj_dict['simplify'] = simplify
|
|
|
|
self.obj_dict['current_child_sequence'] = 1
|
|
self.obj_dict['nodes'] = dict()
|
|
self.obj_dict['edges'] = dict()
|
|
self.obj_dict['subgraphs'] = dict()
|
|
|
|
self.set_parent_graph(self)
|
|
|
|
self.create_attribute_methods(GRAPH_ATTRIBUTES)
|
|
|
|
def get_graph_type(self):
|
|
|
|
return self.obj_dict['type']
|
|
|
|
def get_top_graph_type(self):
|
|
|
|
parent = self
|
|
while True:
|
|
parent_ = parent.get_parent_graph()
|
|
if parent_ == parent:
|
|
break
|
|
parent = parent_
|
|
|
|
return parent.obj_dict['type']
|
|
|
|
def set_graph_defaults(self, **attrs):
|
|
|
|
self.add_node(Node('graph', **attrs))
|
|
|
|
def get_graph_defaults(self, **attrs):
|
|
|
|
graph_nodes = self.get_node('graph')
|
|
|
|
if isinstance(graph_nodes, (list, tuple)):
|
|
return [node.get_attributes() for node in graph_nodes]
|
|
|
|
return graph_nodes.get_attributes()
|
|
|
|
def set_node_defaults(self, **attrs):
|
|
|
|
self.add_node(Node('node', **attrs))
|
|
|
|
def get_node_defaults(self, **attrs):
|
|
|
|
graph_nodes = self.get_node('node')
|
|
|
|
if isinstance(graph_nodes, (list, tuple)):
|
|
return [node.get_attributes() for node in graph_nodes]
|
|
|
|
return graph_nodes.get_attributes()
|
|
|
|
def set_edge_defaults(self, **attrs):
|
|
|
|
self.add_node(Node('edge', **attrs))
|
|
|
|
def get_edge_defaults(self, **attrs):
|
|
|
|
graph_nodes = self.get_node('edge')
|
|
|
|
if isinstance(graph_nodes, (list, tuple)):
|
|
return [node.get_attributes() for node in graph_nodes]
|
|
|
|
return graph_nodes.get_attributes()
|
|
|
|
def set_simplify(self, simplify):
|
|
"""Set whether to simplify or not.
|
|
|
|
If True it will avoid displaying equal edges, i.e.
|
|
only one edge between two nodes. removing the
|
|
duplicated ones.
|
|
"""
|
|
|
|
self.obj_dict['simplify'] = simplify
|
|
|
|
def get_simplify(self):
|
|
"""Get whether to simplify or not.
|
|
|
|
Refer to set_simplify for more information.
|
|
"""
|
|
|
|
return self.obj_dict['simplify']
|
|
|
|
def set_type(self, graph_type):
|
|
"""Set the graph's type, 'graph' or 'digraph'."""
|
|
|
|
self.obj_dict['type'] = graph_type
|
|
|
|
def get_type(self):
|
|
"""Get the graph's type, 'graph' or 'digraph'."""
|
|
|
|
return self.obj_dict['type']
|
|
|
|
def set_name(self, graph_name):
|
|
"""Set the graph's name."""
|
|
|
|
self.obj_dict['name'] = graph_name
|
|
|
|
def get_name(self):
|
|
"""Get the graph's name."""
|
|
|
|
return self.obj_dict['name']
|
|
|
|
def set_strict(self, val):
|
|
"""Set graph to 'strict' mode.
|
|
|
|
This option is only valid for top level graphs.
|
|
"""
|
|
|
|
self.obj_dict['strict'] = val
|
|
|
|
def get_strict(self, val):
|
|
"""Get graph's 'strict' mode (True, False).
|
|
|
|
This option is only valid for top level graphs.
|
|
"""
|
|
|
|
return self.obj_dict['strict']
|
|
|
|
def set_suppress_disconnected(self, val):
|
|
"""Suppress disconnected nodes in the output graph.
|
|
|
|
This option will skip nodes in the graph with no incoming or outgoing
|
|
edges. This option works also for subgraphs and has effect only in the
|
|
current graph/subgraph.
|
|
"""
|
|
|
|
self.obj_dict['suppress_disconnected'] = val
|
|
|
|
def get_suppress_disconnected(self, val):
|
|
"""Get if suppress disconnected is set.
|
|
|
|
Refer to set_suppress_disconnected for more information.
|
|
"""
|
|
|
|
return self.obj_dict['suppress_disconnected']
|
|
|
|
def get_next_sequence_number(self):
|
|
|
|
seq = self.obj_dict['current_child_sequence']
|
|
|
|
self.obj_dict['current_child_sequence'] += 1
|
|
|
|
return seq
|
|
|
|
def add_node(self, graph_node):
|
|
"""Adds a node object to the graph.
|
|
|
|
It takes a node object as its only argument and returns
|
|
None.
|
|
"""
|
|
|
|
if not isinstance(graph_node, Node):
|
|
raise TypeError(
|
|
'add_node() received a non node class object: ' +
|
|
str(graph_node))
|
|
|
|
node = self.get_node(graph_node.get_name())
|
|
|
|
if not node:
|
|
|
|
self.obj_dict['nodes'][
|
|
graph_node.get_name()
|
|
] = [
|
|
graph_node.obj_dict
|
|
]
|
|
|
|
#self.node_dict[graph_node.get_name()] = graph_node.attributes
|
|
graph_node.set_parent_graph(self.get_parent_graph())
|
|
|
|
else:
|
|
|
|
self.obj_dict['nodes'][graph_node.get_name()].append(graph_node.obj_dict)
|
|
|
|
graph_node.set_sequence(self.get_next_sequence_number())
|
|
|
|
def del_node(self, name, index=None):
|
|
"""Delete a node from the graph.
|
|
|
|
Given a node's name all node(s) with that same name
|
|
will be deleted if 'index' is not specified or set
|
|
to None.
|
|
If there are several nodes with that same name and
|
|
'index' is given, only the node in that position
|
|
will be deleted.
|
|
|
|
'index' should be an integer specifying the position
|
|
of the node to delete. If index is larger than the
|
|
number of nodes with that name, no action is taken.
|
|
|
|
If nodes are deleted it returns True. If no action
|
|
is taken it returns False.
|
|
"""
|
|
|
|
if isinstance(name, Node):
|
|
name = name.get_name()
|
|
|
|
if name in self.obj_dict['nodes']:
|
|
|
|
if index is not None and index < len(self.obj_dict['nodes'][name]):
|
|
del self.obj_dict['nodes'][name][index]
|
|
return True
|
|
else:
|
|
del self.obj_dict['nodes'][name]
|
|
return True
|
|
|
|
return False
|
|
|
|
def get_node(self, name):
|
|
"""Retrieve a node from the graph.
|
|
|
|
Given a node's name the corresponding Node
|
|
instance will be returned.
|
|
|
|
If one or more nodes exist with that name a list of
|
|
Node instances is returned.
|
|
An empty list is returned otherwise.
|
|
"""
|
|
|
|
match = list()
|
|
|
|
if name in self.obj_dict['nodes']:
|
|
|
|
match.extend([Node(obj_dict=obj_dict)
|
|
for obj_dict in self.obj_dict['nodes'][name]])
|
|
|
|
return match
|
|
|
|
def get_nodes(self):
|
|
"""Get the list of Node instances."""
|
|
|
|
return self.get_node_list()
|
|
|
|
def get_node_list(self):
|
|
"""Get the list of Node instances.
|
|
|
|
This method returns the list of Node instances
|
|
composing the graph.
|
|
"""
|
|
|
|
node_objs = list()
|
|
|
|
for node, obj_dict_list in self.obj_dict['nodes'].iteritems():
|
|
node_objs.extend([Node(obj_dict=obj_d) for obj_d in obj_dict_list])
|
|
|
|
return node_objs
|
|
|
|
def add_edge(self, graph_edge):
|
|
"""Adds an edge object to the graph.
|
|
|
|
It takes a edge object as its only argument and returns
|
|
None.
|
|
"""
|
|
|
|
if not isinstance(graph_edge, Edge):
|
|
raise TypeError(
|
|
'add_edge() received a non edge class object: ' +
|
|
str(graph_edge))
|
|
|
|
edge_points = (graph_edge.get_source(), graph_edge.get_destination())
|
|
|
|
if edge_points in self.obj_dict['edges']:
|
|
|
|
edge_list = self.obj_dict['edges'][edge_points]
|
|
edge_list.append(graph_edge.obj_dict)
|
|
|
|
else:
|
|
|
|
self.obj_dict['edges'][edge_points] = [graph_edge.obj_dict]
|
|
|
|
graph_edge.set_sequence(self.get_next_sequence_number())
|
|
|
|
graph_edge.set_parent_graph(self.get_parent_graph())
|
|
|
|
def del_edge(self, src_or_list, dst=None, index=None):
|
|
"""Delete an edge from the graph.
|
|
|
|
Given an edge's (source, destination) node names all
|
|
matching edges(s) will be deleted if 'index' is not
|
|
specified or set to None.
|
|
If there are several matching edges and 'index' is
|
|
given, only the edge in that position will be deleted.
|
|
|
|
'index' should be an integer specifying the position
|
|
of the edge to delete. If index is larger than the
|
|
number of matching edges, no action is taken.
|
|
|
|
If edges are deleted it returns True. If no action
|
|
is taken it returns False.
|
|
"""
|
|
|
|
if isinstance(src_or_list, (list, tuple)):
|
|
if dst is not None and isinstance(dst, (int, long)):
|
|
index = dst
|
|
src, dst = src_or_list
|
|
else:
|
|
src, dst = src_or_list, dst
|
|
|
|
if isinstance(src, Node):
|
|
src = src.get_name()
|
|
|
|
if isinstance(dst, Node):
|
|
dst = dst.get_name()
|
|
|
|
if (src, dst) in self.obj_dict['edges']:
|
|
|
|
if index is not None and index < len(
|
|
self.obj_dict['edges'][
|
|
(src, dst)
|
|
]):
|
|
del self.obj_dict['edges'][(src, dst)][index]
|
|
return True
|
|
else:
|
|
del self.obj_dict['edges'][(src, dst)]
|
|
return True
|
|
|
|
return False
|
|
|
|
def get_edge(self, src_or_list, dst=None):
|
|
"""Retrieved an edge from the graph.
|
|
|
|
Given an edge's source and destination the corresponding
|
|
Edge instance(s) will be returned.
|
|
|
|
If one or more edges exist with that source and destination
|
|
a list of Edge instances is returned.
|
|
An empty list is returned otherwise.
|
|
"""
|
|
|
|
if isinstance(src_or_list, (list, tuple)) and dst is None:
|
|
edge_points = tuple(src_or_list)
|
|
edge_points_reverse = (edge_points[1], edge_points[0])
|
|
else:
|
|
edge_points = (src_or_list, dst)
|
|
edge_points_reverse = (dst, src_or_list)
|
|
|
|
match = list()
|
|
|
|
if edge_points in self.obj_dict['edges'] or (
|
|
self.get_top_graph_type() == 'graph' and
|
|
edge_points_reverse in self.obj_dict['edges']):
|
|
|
|
edges_obj_dict = self.obj_dict['edges'].get(
|
|
edge_points,
|
|
self.obj_dict['edges'].get(edge_points_reverse, None))
|
|
|
|
for edge_obj_dict in edges_obj_dict:
|
|
match.append(
|
|
Edge(
|
|
edge_points[0], edge_points[1],
|
|
obj_dict=edge_obj_dict))
|
|
|
|
return match
|
|
|
|
def get_edges(self):
|
|
return self.get_edge_list()
|
|
|
|
def get_edge_list(self):
|
|
"""Get the list of Edge instances.
|
|
|
|
This method returns the list of Edge instances
|
|
composing the graph.
|
|
"""
|
|
|
|
edge_objs = list()
|
|
|
|
for edge, obj_dict_list in self.obj_dict['edges'].iteritems():
|
|
edge_objs.extend([Edge(obj_dict=obj_d) for obj_d in obj_dict_list])
|
|
|
|
return edge_objs
|
|
|
|
def add_subgraph(self, sgraph):
|
|
"""Adds an subgraph object to the graph.
|
|
|
|
It takes a subgraph object as its only argument and returns
|
|
None.
|
|
"""
|
|
|
|
if not isinstance(
|
|
sgraph, Subgraph) and not isinstance(
|
|
sgraph, Cluster):
|
|
raise TypeError(
|
|
'add_subgraph() received a non subgraph class object:' +
|
|
str(sgraph))
|
|
|
|
if sgraph.get_name() in self.obj_dict['subgraphs']:
|
|
|
|
sgraph_list = self.obj_dict['subgraphs'][sgraph.get_name()]
|
|
sgraph_list.append(sgraph.obj_dict)
|
|
|
|
else:
|
|
self.obj_dict['subgraphs'][sgraph.get_name()] = [sgraph.obj_dict]
|
|
|
|
sgraph.set_sequence(self.get_next_sequence_number())
|
|
|
|
sgraph.set_parent_graph(self.get_parent_graph())
|
|
|
|
def get_subgraph(self, name):
|
|
"""Retrieved a subgraph from the graph.
|
|
|
|
Given a subgraph's name the corresponding
|
|
Subgraph instance will be returned.
|
|
|
|
If one or more subgraphs exist with the same name, a list of
|
|
Subgraph instances is returned.
|
|
An empty list is returned otherwise.
|
|
"""
|
|
|
|
match = list()
|
|
|
|
if name in self.obj_dict['subgraphs']:
|
|
|
|
sgraphs_obj_dict = self.obj_dict['subgraphs'].get(name)
|
|
|
|
for obj_dict_list in sgraphs_obj_dict:
|
|
#match.extend( Subgraph( obj_dict = obj_d ) for obj_d in obj_dict_list )
|
|
match.append(Subgraph(obj_dict=obj_dict_list))
|
|
|
|
return match
|
|
|
|
def get_subgraphs(self):
|
|
|
|
return self.get_subgraph_list()
|
|
|
|
def get_subgraph_list(self):
|
|
"""Get the list of Subgraph instances.
|
|
|
|
This method returns the list of Subgraph instances
|
|
in the graph.
|
|
"""
|
|
|
|
sgraph_objs = list()
|
|
|
|
for sgraph, obj_dict_list in self.obj_dict['subgraphs'].iteritems():
|
|
sgraph_objs.extend([Subgraph(obj_dict=obj_d)
|
|
for obj_d in obj_dict_list])
|
|
|
|
return sgraph_objs
|
|
|
|
def set_parent_graph(self, parent_graph):
|
|
|
|
self.obj_dict['parent_graph'] = parent_graph
|
|
|
|
for obj_list in self.obj_dict['nodes'].itervalues():
|
|
for obj in obj_list:
|
|
obj['parent_graph'] = parent_graph
|
|
|
|
for obj_list in self.obj_dict['edges'].itervalues():
|
|
for obj in obj_list:
|
|
obj['parent_graph'] = parent_graph
|
|
|
|
for obj_list in self.obj_dict['subgraphs'].itervalues():
|
|
for obj in obj_list:
|
|
Graph(obj_dict=obj).set_parent_graph(parent_graph)
|
|
|
|
def to_string(self):
|
|
"""Returns a string representation of the graph in dot language.
|
|
|
|
It will return the graph and all its subelements in string from.
|
|
"""
|
|
|
|
graph = list()
|
|
|
|
if self.obj_dict.get('strict', None) is not None:
|
|
|
|
if self == self.get_parent_graph() and self.obj_dict['strict']:
|
|
|
|
graph.append('strict ')
|
|
|
|
if self.obj_dict['name'] == '':
|
|
if 'show_keyword' in self.obj_dict and self.obj_dict[
|
|
'show_keyword'
|
|
]:
|
|
graph.append('subgraph {\n')
|
|
else:
|
|
graph.append('{\n')
|
|
else:
|
|
graph.append(
|
|
'%s %s {\n' % (self.obj_dict['type'], self.obj_dict['name']))
|
|
|
|
for attr in self.obj_dict['attributes'].iterkeys():
|
|
|
|
if self.obj_dict['attributes'].get(attr, None) is not None:
|
|
|
|
val = self.obj_dict['attributes'].get(attr)
|
|
if val is not None:
|
|
graph.append('%s=%s' % (attr, quote_if_necessary(val)))
|
|
else:
|
|
graph.append(attr)
|
|
|
|
graph.append(';\n')
|
|
|
|
edges_done = set()
|
|
|
|
edge_obj_dicts = list()
|
|
for e in self.obj_dict['edges'].itervalues():
|
|
edge_obj_dicts.extend(e)
|
|
|
|
if edge_obj_dicts:
|
|
edge_src_set, edge_dst_set = zip(
|
|
*[obj['points'] for obj in edge_obj_dicts])
|
|
edge_src_set, edge_dst_set = set(edge_src_set), set(edge_dst_set)
|
|
else:
|
|
edge_src_set, edge_dst_set = set(), set()
|
|
|
|
node_obj_dicts = list()
|
|
for e in self.obj_dict['nodes'].itervalues():
|
|
node_obj_dicts.extend(e)
|
|
|
|
sgraph_obj_dicts = list()
|
|
for sg in self.obj_dict['subgraphs'].itervalues():
|
|
sgraph_obj_dicts.extend(sg)
|
|
|
|
obj_list = sorted([(obj['sequence'], obj) for obj in (
|
|
edge_obj_dicts + node_obj_dicts + sgraph_obj_dicts)])
|
|
|
|
for idx, obj in obj_list:
|
|
|
|
if obj['type'] == 'node':
|
|
|
|
node = Node(obj_dict=obj)
|
|
|
|
if self.obj_dict.get('suppress_disconnected', False):
|
|
|
|
if (node.get_name() not in edge_src_set and
|
|
node.get_name() not in edge_dst_set):
|
|
|
|
continue
|
|
|
|
graph.append(node.to_string() + '\n')
|
|
|
|
elif obj['type'] == 'edge':
|
|
|
|
edge = Edge(obj_dict=obj)
|
|
|
|
if self.obj_dict.get('simplify', False) and edge in edges_done:
|
|
continue
|
|
|
|
graph.append(edge.to_string() + '\n')
|
|
edges_done.add(edge)
|
|
|
|
else:
|
|
|
|
sgraph = Subgraph(obj_dict=obj)
|
|
|
|
graph.append(sgraph.to_string() + '\n')
|
|
|
|
graph.append('}\n')
|
|
|
|
return ''.join(graph)
|
|
|
|
|
|
class Subgraph(Graph):
|
|
"""Class representing a subgraph in Graphviz's dot language.
|
|
|
|
This class implements the methods to work on a representation
|
|
of a subgraph in Graphviz's dot language.
|
|
|
|
subgraph(graph_name='subG', suppress_disconnected=False, attribute=value, ...)
|
|
|
|
graph_name:
|
|
the subgraph's name
|
|
suppress_disconnected:
|
|
defaults to false, which will remove from the
|
|
subgraph any disconnected nodes.
|
|
All the attributes defined in the Graphviz dot language should
|
|
be supported.
|
|
|
|
Attributes can be set through the dynamically generated methods:
|
|
|
|
set_[attribute name], i.e. set_size, set_fontname
|
|
|
|
or using the instance's attributes:
|
|
|
|
Subgraph.obj_dict['attributes'][attribute name], i.e.
|
|
|
|
subgraph_instance.obj_dict['attributes']['label']
|
|
subgraph_instance.obj_dict['attributes']['fontname']
|
|
"""
|
|
|
|
# RMF: subgraph should have all the attributes of graph so it can be passed
|
|
# as a graph to all methods
|
|
#
|
|
def __init__(
|
|
self,
|
|
graph_name='',
|
|
obj_dict=None,
|
|
suppress_disconnected=False,
|
|
simplify=False, **attrs):
|
|
|
|
Graph.__init__(
|
|
self,
|
|
graph_name=graph_name,
|
|
obj_dict=obj_dict,
|
|
suppress_disconnected=suppress_disconnected,
|
|
simplify=simplify, **attrs)
|
|
|
|
if obj_dict is None:
|
|
|
|
self.obj_dict['type'] = 'subgraph'
|
|
|
|
|
|
class Cluster(Graph):
|
|
"""Class representing a cluster in Graphviz's dot language.
|
|
|
|
This class implements the methods to work on a representation
|
|
of a cluster in Graphviz's dot language.
|
|
|
|
cluster(graph_name='subG', suppress_disconnected=False, attribute=value, ...)
|
|
|
|
graph_name:
|
|
the cluster's name (the string 'cluster' will be always prepended)
|
|
suppress_disconnected:
|
|
defaults to false, which will remove from the
|
|
cluster any disconnected nodes.
|
|
All the attributes defined in the Graphviz dot language should
|
|
be supported.
|
|
|
|
Attributes can be set through the dynamically generated methods:
|
|
|
|
set_[attribute name], i.e. set_color, set_fontname
|
|
|
|
or using the instance's attributes:
|
|
|
|
Cluster.obj_dict['attributes'][attribute name], i.e.
|
|
|
|
cluster_instance.obj_dict['attributes']['label']
|
|
cluster_instance.obj_dict['attributes']['fontname']
|
|
"""
|
|
|
|
def __init__(
|
|
self,
|
|
graph_name='subG',
|
|
obj_dict=None,
|
|
suppress_disconnected=False,
|
|
simplify=False, **attrs):
|
|
|
|
Graph.__init__(
|
|
self,
|
|
graph_name=graph_name,
|
|
obj_dict=obj_dict,
|
|
suppress_disconnected=suppress_disconnected,
|
|
simplify=simplify, **attrs)
|
|
|
|
if obj_dict is None:
|
|
|
|
self.obj_dict['type'] = 'subgraph'
|
|
self.obj_dict['name'] = 'cluster_' + graph_name
|
|
|
|
self.create_attribute_methods(CLUSTER_ATTRIBUTES)
|
|
|
|
|
|
class Dot(Graph):
|
|
"""A container for handling a dot language file.
|
|
|
|
This class implements methods to write and process
|
|
a dot language file. It is a derived class of
|
|
the base class 'Graph'.
|
|
"""
|
|
|
|
def __init__(self, *argsl, **argsd):
|
|
Graph.__init__(self, *argsl, **argsd)
|
|
|
|
self.shape_files = list()
|
|
|
|
self.progs = None
|
|
|
|
self.formats = [
|
|
'canon', 'cmap', 'cmapx', 'cmapx_np', 'dia', 'dot', 'fig', 'gd',
|
|
'gd2', 'gif', 'hpgl', 'imap', 'imap_np', 'ismap', 'jpe', 'jpeg',
|
|
'jpg', 'mif', 'mp', 'pcl', 'pdf', 'pic', 'plain', 'plain-ext',
|
|
'png', 'ps', 'ps2', 'svg', 'svgz', 'vml', 'vmlz', 'vrml', 'vtx',
|
|
'wbmp', 'xdot', 'xlib'
|
|
]
|
|
|
|
self.prog = 'dot'
|
|
|
|
# Automatically creates all the methods enabling the creation
|
|
# of output in any of the supported formats.
|
|
for frmt in self.formats:
|
|
self.__setattr__(
|
|
'create_' + frmt, lambda f=frmt, prog=self.prog: self.create(
|
|
format=f,
|
|
prog=prog))
|
|
f = self.__dict__['create_' + frmt]
|
|
f.__doc__ = '''Refer to the docstring accompanying the 'create' method for more information.'''
|
|
|
|
for frmt in self.formats + ['raw']:
|
|
self.__setattr__(
|
|
'write_' + frmt,
|
|
lambda path, f=frmt, prog=self.prog: self.write(
|
|
path,
|
|
format=f,
|
|
prog=prog))
|
|
|
|
f = self.__dict__['write_' + frmt]
|
|
f.__doc__ = '''Refer to the docstring accompanying the 'write' method for more information.'''
|
|
|
|
def __getstate__(self):
|
|
|
|
dict = copy.copy(self.obj_dict)
|
|
|
|
return dict
|
|
|
|
def __setstate__(self, state):
|
|
|
|
self.obj_dict = state
|
|
|
|
def set_shape_files(self, file_paths):
|
|
"""Add the paths of the required image files.
|
|
|
|
If the graph needs graphic objects to be used as shapes or otherwise
|
|
those need to be in the same folder as the graph is going to be rendered
|
|
from. Alternatively the absolute path to the files can be specified when
|
|
including the graphics in the graph.
|
|
|
|
The files in the location pointed to by the path(s) specified as arguments
|
|
to this method will be copied to the same temporary location where the
|
|
graph is going to be rendered.
|
|
"""
|
|
|
|
if isinstance(file_paths, basestring):
|
|
self.shape_files.append(file_paths)
|
|
|
|
if isinstance(file_paths, (list, tuple)):
|
|
self.shape_files.extend(file_paths)
|
|
|
|
def set_prog(self, prog):
|
|
"""Sets the default program.
|
|
|
|
Sets the default program in charge of processing
|
|
the dot file into a graph.
|
|
"""
|
|
self.prog = prog
|
|
|
|
def set_graphviz_executables(self, paths):
|
|
"""This method allows to manually specify the location of the GraphViz executables.
|
|
|
|
The argument to this method should be a dictionary where the keys are as follows:
|
|
|
|
{'dot': '', 'twopi': '', 'neato': '', 'circo': '', 'fdp': ''}
|
|
|
|
and the values are the paths to the corresponding executable, including the name
|
|
of the executable itself.
|
|
"""
|
|
|
|
self.progs = paths
|
|
|
|
def write(self, path, prog=None, format='raw'):
|
|
"""Writes a graph to a file.
|
|
|
|
Given a filename 'path' it will open/create and truncate
|
|
such file and write on it a representation of the graph
|
|
defined by the dot object and in the format specified by
|
|
'format'.
|
|
The format 'raw' is used to dump the string representation
|
|
of the Dot object, without further processing.
|
|
The output can be processed by any of graphviz tools, defined
|
|
in 'prog', which defaults to 'dot'
|
|
Returns True or False according to the success of the write
|
|
operation.
|
|
|
|
There's also the preferred possibility of using:
|
|
|
|
write_'format'(path, prog='program')
|
|
|
|
which are automatically defined for all the supported formats.
|
|
[write_ps(), write_gif(), write_dia(), ...]
|
|
"""
|
|
|
|
if prog is None:
|
|
prog = self.prog
|
|
|
|
dot_fd = file(path, "w+b")
|
|
if format == 'raw':
|
|
data = self.to_string()
|
|
if isinstance(data, basestring):
|
|
if not isinstance(data, unicode):
|
|
try:
|
|
data = unicode(data, 'utf-8')
|
|
except:
|
|
pass
|
|
|
|
try:
|
|
data = data.encode('utf-8')
|
|
except:
|
|
pass
|
|
dot_fd.write(data)
|
|
else:
|
|
dot_fd.write(self.create(prog, format))
|
|
dot_fd.close()
|
|
|
|
return True
|
|
|
|
def create(self, prog=None, format='ps'):
|
|
"""Creates and returns a Postscript representation of the graph.
|
|
|
|
create will write the graph to a temporary dot file and process
|
|
it with the program given by 'prog' (which defaults to 'twopi'),
|
|
reading the Postscript output and returning it as a string is the
|
|
operation is successful.
|
|
On failure None is returned.
|
|
|
|
There's also the preferred possibility of using:
|
|
|
|
create_'format'(prog='program')
|
|
|
|
which are automatically defined for all the supported formats.
|
|
[create_ps(), create_gif(), create_dia(), ...]
|
|
|
|
If 'prog' is a list instead of a string the fist item is expected
|
|
to be the program name, followed by any optional command-line
|
|
arguments for it:
|
|
|
|
[ 'twopi', '-Tdot', '-s10' ]
|
|
"""
|
|
|
|
if prog is None:
|
|
prog = self.prog
|
|
|
|
if isinstance(prog, (list, tuple)):
|
|
prog, args = prog[0], prog[1:]
|
|
else:
|
|
args = []
|
|
|
|
if self.progs is None:
|
|
self.progs = find_graphviz()
|
|
if self.progs is None:
|
|
raise InvocationException('GraphViz\'s executables not found')
|
|
|
|
if prog not in self.progs:
|
|
raise InvocationException(
|
|
'GraphViz\'s executable "%s" not found' % prog)
|
|
|
|
if not os.path.exists(
|
|
self.progs[prog]) or not os.path.isfile(
|
|
self.progs[prog]):
|
|
raise InvocationException(
|
|
'GraphViz\'s executable "%s" is not a file or doesn\'t exist' %
|
|
self.progs[prog])
|
|
|
|
tmp_fd, tmp_name = tempfile.mkstemp()
|
|
os.close(tmp_fd)
|
|
self.write(tmp_name)
|
|
tmp_dir = os.path.dirname(tmp_name)
|
|
|
|
# For each of the image files...
|
|
#
|
|
for img in self.shape_files:
|
|
|
|
# Get its data
|
|
#
|
|
f = file(img, 'rb')
|
|
f_data = f.read()
|
|
f.close()
|
|
|
|
# And copy it under a file with the same name in the temporary directory
|
|
#
|
|
f = file(os.path.join(tmp_dir, os.path.basename(img)), 'wb')
|
|
f.write(f_data)
|
|
f.close()
|
|
|
|
cmdline = [self.progs[prog], '-T' + format, tmp_name] + args
|
|
|
|
p = subprocess.Popen(
|
|
cmdline,
|
|
cwd=tmp_dir,
|
|
stderr=subprocess.PIPE,
|
|
stdout=subprocess.PIPE)
|
|
|
|
stderr = p.stderr
|
|
stdout = p.stdout
|
|
|
|
stdout_output = list()
|
|
while True:
|
|
data = stdout.read()
|
|
if not data:
|
|
break
|
|
stdout_output.append(data)
|
|
stdout.close()
|
|
|
|
stdout_output = ''.join(stdout_output)
|
|
|
|
if not stderr.closed:
|
|
stderr_output = list()
|
|
while True:
|
|
data = stderr.read()
|
|
if not data:
|
|
break
|
|
stderr_output.append(data)
|
|
stderr.close()
|
|
|
|
if stderr_output:
|
|
stderr_output = ''.join(stderr_output)
|
|
|
|
#pid, status = os.waitpid(p.pid, 0)
|
|
status = p.wait()
|
|
|
|
if status != 0:
|
|
raise InvocationException(
|
|
'Program terminated with status: %d. stderr follows: %s' % (
|
|
status, stderr_output
|
|
))
|
|
elif stderr_output:
|
|
print stderr_output
|
|
|
|
# For each of the image files...
|
|
#
|
|
for img in self.shape_files:
|
|
|
|
# remove it
|
|
#
|
|
os.unlink(os.path.join(tmp_dir, os.path.basename(img)))
|
|
|
|
os.unlink(tmp_name)
|
|
|
|
return stdout_output
|