The digraph_utils module implements some algorithms
      based on depth-first traversal of directed graphs. See the
      digraph module for basic functions on directed graphs.
      
    A directed graph (or 
       just "digraph") is a pair (V, E) of a finite set V of
       vertices and a finite set E 
       of directed edges (or just 
       "edges"). The set of edges E is a subset of V × V 
       (the Cartesian product of V with itself).
      
    Digraphs can be annotated with additional information. Such
      information may be attached to the vertices and to the edges of
      the digraph. A digraph which has been annotated is called a
      labeled digraph, and the information attached to a
      vertex or an edge is called a 
      label.
    An edge e = (v, w) is said 
      to emanate from vertex v and 
      to be incident on vertex w. 
      If there is an edge emanating from v and incident on w, then w is 
      said to be 
      an out-neighbour of v, 
      and v is said to be 
      an in-neighbour of w. 
      A path P from v[1] to v[k] in a 
      digraph (V, E) is a non-empty sequence
      v[1], v[2], ..., v[k] of vertices in V such that
      there is an edge (v[i],v[i+1]) in E for
      1 <= i < k. 
      The length of the path P is k-1. 
      P is a cycle if the length of P 
      is not zero and v[1] = v[k]. 
      A loop is a cycle of length one. 
      An acyclic digraph is 
      a digraph that has no cycles.
      
    A  depth-first
      traversal of a directed digraph can be viewed as a process
      that visits all vertices of the digraph. Initially, all vertices
      are marked as unvisited. The traversal starts with an
      arbitrarily chosen vertex, which is marked as visited, and
      follows an edge to an unmarked vertex, marking that vertex. The
      search then proceeds from that vertex in the same fashion, until
      there is no edge leading to an unvisited vertex. At that point
      the process backtracks, and the traversal continues as long as
      there are unexamined edges. If there remain unvisited vertices
      when all edges from the first vertex have been examined, some
      hitherto unvisited vertex is chosen, and the process is
      repeated.
      
    A partial ordering of 
      a set S is a transitive, antisymmetric and reflexive relation
      between the objects of S. The problem 
      of topological sorting is to 
      find a total
      ordering of S that is a superset of the partial ordering. A
      digraph G = (V, E) is equivalent to a relation E
      on V (we neglect the fact that the version of directed graphs
      implemented in the digraph module allows multiple edges
      between vertices). If the digraph has no cycles of length two or
      more, then the reflexive and transitive closure of E is a
      partial ordering.
      
    A subgraph G' of G is a
      digraph whose vertices and edges form subsets of the vertices
      and edges of G. G' is maximal with respect to a
      property P if all other subgraphs that include the vertices of
      G' do not have the property P. A  strongly connected
      component is a maximal subgraph such that there is a path
      between each pair of vertices. A connected component is a
      maximal subgraph such that there is a path between each pair of
      vertices, considering all edges undirected. An arborescence is an acyclic
      digraph with a vertex V, the root, such that there is a unique
      path from V to every other vertex of G. A tree is an acyclic non-empty digraph
      such that there is a unique path between every pair of vertices,
      considering all edges undirected.