package nuscr
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dune-project
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sha256=c5a419fd1fdea78fb63b3a3c335b0e6b0f2b08d65b79870565bdcc0f997bc728
sha512=83ef593ed514eeef1b10069af54562833d617d1c338c5adaf82ee5c3ea7ec4569b3643fcbb237b3cb79ce2f579094cbd17217efa5f4e522bd20f67e1df3a7dbd
doc/nuscr.lib/Nuscrlib/Efsm/G/index.html
Module Efsm.G
EFSM graph representation
A persistent graph is a graph.
include Graph.Sig.G
with type V.t = state
with type E.label = action
with type E.t = state * action * state
Graph structure
module V : Graph.Sig.VERTEX with type t = stateVertices have type V.t and are labeled with type V.label (note that an implementation may identify the vertex with its label)
type vertex = V.tmodule E :
Graph.Sig.EDGE
with type vertex = vertex
with type label = action
with type t = state * action * stateEdges have type E.t and are labeled with type E.label. src (resp. dst) returns the origin (resp. the destination) of a given edge.
type edge = E.tSize functions
val is_empty : t -> boolval nb_vertex : t -> intval nb_edges : t -> intDegree of a vertex
Membership functions
find_edge g v1 v2 returns the edge from v1 to v2 if it exists. Unspecified behaviour if g has several edges from v1 to v2.
find_all_edges g v1 v2 returns all the edges from v1 to v2.
Successors and predecessors
You should better use iterators on successors/predecessors (see Section "Vertex iterators").
Labeled edges going from/to a vertex
Graph iterators
Iter on all edges of a graph. Edge label is ignored.
Fold on all edges of a graph. Edge label is ignored.
Map on all vertices of a graph.
The current implementation requires the supplied function to be injective. Said otherwise, map_vertex cannot be used to contract a graph by mapping several vertices to the same vertex. To contract a graph, use instead create, add_vertex, and add_edge.
Vertex iterators
Each iterator iterator f v g iters f to the successors/predecessors of v in the graph g and raises Invalid_argument if v is not in g. It is the same for functions fold_* which use an additional accumulator.
<b>Time complexity for ocamlgraph implementations:</b> operations on successors are in O(1) amortized for imperative graphs and in O(ln(|V|)) for persistent graphs while operations on predecessors are in O(max(|V|,|E|)) for imperative graphs and in O(max(|V|,|E|)*ln|V|) for persistent graphs.
iter/fold on all successors/predecessors of a vertex.
iter/fold on all edges going from/to a vertex.
val empty : tThe empty graph.
add_vertex g v adds the vertex v to the graph g. Just return g if v is already in g.
remove g v removes the vertex v from the graph g (and all the edges going from v in g). Just return g if v is not in g.
<b>Time complexity for ocamlgraph implementations:</b> O(|V|*ln(|V|)) for unlabeled graphs and O(|V|*max(ln(|V|),D)) for labeled graphs. D is the maximal degree of the graph.
add_edge g v1 v2 adds an edge from the vertex v1 to the vertex v2 in the graph g. Add also v1 (resp. v2) in g if v1 (resp. v2) is not in g. Just return g if this edge is already in g.
add_edge_e g e adds the edge e in the graph g. Add also E.src e (resp. E.dst e) in g if E.src e (resp. E.dst e) is not in g. Just return g if e is already in g.
remove_edge g v1 v2 removes the edge going from v1 to v2 from the graph g. If the graph is labelled, all the edges going from v1 to v2 are removed from g. Just return g if this edge is not in g.