parameters: (edges)
docstring: Print a graphviz graph to stdout.
    |edges| is a map of target to a list of other targets it depends on.
docstring_summary: Print a graphviz graph to stdout.
    |edges| is a map of target to a list of other targets it depends on.
docstring_tokens: Print a graphviz graph to stdout . |edges| is a map of target to a list of other targets it depends on .
function: def WriteGraph(edges):
    """Print a graphviz graph to stdout.
    |edges| is a map of target to a list of other targets it depends on."""
  
    # Bucket targets by file.
    files = collections.defaultdict(list)
    for src, dst in edges.items():
      build_file, target_name, toolset = ParseTarget(src)
      files[build_file].append(src)
  
    print 'digraph D {'
    print '  fontsize=8'  # Used by subgraphs.
    print '  node [fontsize=8]'
  
    # Output nodes by file.  We must first write out each node within
    # its file grouping before writing out any edges that may refer
    # to those nodes.
    for filename, targets in files.items():
      if len(targets) == 1:
        # If there's only one node for this file, simplify
        # the display by making it a box without an internal node.
        target = targets[0]
        build_file, target_name, toolset = ParseTarget(target)
        print '  "%s" [shape=box, label="%s\\n%s"]' % (target, filename,
                                                       target_name)
      else:
        # Group multiple nodes together in a subgraph.
        print '  subgraph "cluster_%s" {' % filename
        print '    label = "%s"' % filename
        for target in targets:
          build_file, target_name, toolset = ParseTarget(target)
          print '    "%s" [label="%s"]' % (target, target_name)
        print '  }'
  
    # Now that we've placed all the nodes within subgraphs, output all
    # the edges between nodes.
    for src, dsts in edges.items():
      for dst in dsts:
        print '  "%s" -> "%s"' % (src, dst)
  
    print '}'
function_tokens: def WriteGraph ( edges ) : # Bucket targets by file. files = collections . defaultdict ( list ) for src , dst in edges . items ( ) : build_file , target_name , toolset = ParseTarget ( src ) files [ build_file ] . append ( src ) print 'digraph D {' print '  fontsize=8' # Used by subgraphs. print '  node [fontsize=8]' # Output nodes by file.  We must first write out each node within # its file grouping before writing out any edges that may refer # to those nodes. for filename , targets in files . items ( ) : if len ( targets ) == 1 : # If there's only one node for this file, simplify # the display by making it a box without an internal node. target = targets [ 0 ] build_file , target_name , toolset = ParseTarget ( target ) print '  "%s" [shape=box, label="%s\\n%s"]' % ( target , filename , target_name ) else : # Group multiple nodes together in a subgraph. print '  subgraph "cluster_%s" {' % filename print '    label = "%s"' % filename for target in targets : build_file , target_name , toolset = ParseTarget ( target ) print '    "%s" [label="%s"]' % ( target , target_name ) print '  }' # Now that we've placed all the nodes within subgraphs, output all # the edges between nodes. for src , dsts in edges . items ( ) : for dst in dsts : print '  "%s" -> "%s"' % ( src , dst ) print '}'