var searchIndex = {};
searchIndex["petgraph"] = {"doc":"**petgraph** is a graph data structure library.","items":[[3,"MinScored","petgraph","`MinScored<K, T>` holds a score `K` and a scored object `T` in\na pair for use with a `BinaryHeap`.",null,null],[12,"0","","",0,null],[12,"1","","",0,null],[3,"Directed","","Marker type for a directed graph.",null,null],[3,"Undirected","","Marker type for an undirected graph.",null,null],[3,"Ptr","","A reference that is hashed and compared by its pointer value.",null,null],[12,"0","","",1,null],[4,"EdgeDirection","","Edge direction",null,null],[13,"Outgoing","","An `Outgoing` edge is an outward edge *from* the current node.",2,null],[13,"Incoming","","An `Incoming` edge is an inbound edge *to* the current node.",2,null],[11,"fmt","","",0,null],[11,"clone","","",0,null],[11,"eq","","",0,null],[11,"partial_cmp","","",0,null],[11,"cmp","","",0,null],[0,"algo","","Graph algorithms.",null,null],[5,"is_isomorphic","petgraph::algo","Return `true` if the graphs `g0` and `g1` are isomorphic.",null,{"inputs":[{"name":"graph"},{"name":"graph"}],"output":{"name":"bool"}}],[5,"dijkstra","","Dijkstra's shortest path algorithm.",null,{"inputs":[{"name":"g"},{"name":"nodeid"},{"name":"option"},{"name":"f"}],"output":{"name":"hashmap"}}],[5,"is_cyclic_undirected","","Return `true` if the input graph contains a cycle.",null,{"inputs":[{"name":"graph"}],"output":{"name":"bool"}}],[5,"is_cyclic","","**Deprecated: Renamed to `is_cyclic_undirected`.**",null,{"inputs":[{"name":"graph"}],"output":{"name":"bool"}}],[5,"is_cyclic_directed","","Return `true` if the input directed graph contains a cycle.",null,{"inputs":[{"name":"graph"}],"output":{"name":"bool"}}],[5,"toposort","","Perform a topological sort of a directed graph.",null,{"inputs":[{"name":"graph"}],"output":{"name":"vec"}}],[5,"scc","","Compute the *strongly connected components* using Kosaraju's algorithm.",null,{"inputs":[{"name":"graph"}],"output":{"name":"vec"}}],[5,"connected_components","","Return the number of connected components of the graph.",null,{"inputs":[{"name":"graph"}],"output":{"name":"usize"}}],[5,"min_spanning_tree","","Compute a *minimum spanning tree* of a graph.",null,{"inputs":[{"name":"graph"}],"output":{"name":"graph"}}],[0,"graphmap","petgraph","`GraphMap<N, E>` is an undirected graph where node values are mapping keys.",null,null],[3,"GraphMap","petgraph::graphmap","`GraphMap<N, E>` is an undirected graph, with generic node values `N` and edge weights `E`.",null,null],[3,"Nodes","","",null,null],[3,"Neighbors","","",null,null],[3,"Edges","","",null,null],[12,"from","","**Deprecated: should be private**",3,null],[12,"edges","","**Deprecated: should be private**",3,null],[12,"iter","","**Deprecated: should be private**",3,null],[3,"AllEdges","","",null,null],[8,"NodeTrait","","A trait group for `GraphMap`'s node identifier.",null,null],[11,"clone","","",4,null],[11,"fmt","","",4,null],[11,"new","","Create a new `GraphMap`.",4,{"inputs":[],"output":{"name":"self"}}],[11,"with_capacity","","Create a new `GraphMap` with estimated capacity.",4,{"inputs":[{"name":"usize"},{"name":"usize"}],"output":{"name":"self"}}],[11,"capacity","","Return the current node and edge capacity of the graph.",4,null],[11,"from_edges","","Create a new `GraphMap` from an iterable of edges.",4,{"inputs":[{"name":"i"}],"output":{"name":"self"}}],[11,"node_count","","Return the number of nodes in the graph.",4,null],[11,"edge_count","","Return the number of edges in the graph.",4,null],[11,"clear","","Remove all nodes and edges",4,null],[11,"add_node","","Add node `n` to the graph.",4,null],[11,"remove_node","","Return `true` if node `n` was removed.",4,null],[11,"contains_node","","Return `true` if the node is contained in the graph.",4,null],[11,"add_edge","","Add an edge connecting `a` and `b` to the graph.",4,null],[11,"remove_edge","","Remove edge from `a` to `b` from the graph and return the edge weight.",4,null],[11,"contains_edge","","Return `true` if the edge connecting `a` with `b` is contained in the graph.",4,null],[11,"nodes","","Return an iterator over the nodes of the graph.",4,null],[11,"neighbors","","Return an iterator over the nodes that are connected with `from` by edges.",4,null],[11,"edges","","Return an iterator over the nodes that are connected with `from` by edges,\npaired with the edge weight.",4,null],[11,"edge_weight","","Return a reference to the edge weight connecting `a` with `b`, or\n`None` if the edge does not exist in the graph.",4,null],[11,"edge_weight_mut","","Return a mutable reference to the edge weight connecting `a` with `b`, or\n`None` if the edge does not exist in the graph.",4,null],[11,"all_edges","","Return an iterator over all edges of the graph with their weight in arbitrary order.",4,null],[11,"from_iter","","",4,{"inputs":[{"name":"i"}],"output":{"name":"self"}}],[11,"extend","","",4,null],[11,"next","","",5,null],[11,"size_hint","","",5,null],[11,"next_back","","",5,null],[11,"next","","",6,null],[11,"size_hint","","",6,null],[11,"next_back","","",6,null],[11,"next","","",3,null],[11,"next","","",7,null],[11,"index","","",4,null],[11,"index_mut","","",4,null],[0,"graph","petgraph","`Graph<N, E, Ty, Ix>` is a graph datastructure using an adjacency list representation.",null,null],[3,"NodeIndex","petgraph::graph","Node identifier.",null,null],[3,"EdgeIndex","","Edge identifier.",null,null],[3,"Node","","The graph's node type.",null,null],[12,"weight","","Associated node data.",8,null],[3,"Edge","","The graph's edge type.",null,null],[12,"weight","","Associated edge data.",9,null],[3,"Graph","","`Graph<N, E, Ty, Ix>` is a graph datastructure using an adjacency list representation.",null,null],[3,"WithoutEdges","","An iterator over either the nodes without edges to them or from them.",null,null],[3,"Neighbors","","Iterator over the neighbors of a node.",null,null],[3,"Edges","","Iterator over the edges of a node.",null,null],[3,"NodeWeightsMut","","Iterator yielding mutable access to all node weights.",null,null],[3,"EdgeWeightsMut","","Iterator yielding mutable access to all edge weights.",null,null],[3,"WalkEdges","","A “walker” object that can be used to step through the edge list of a node.",null,null],[3,"NodeIndices","","Iterator over the node indices of a graph.",null,null],[3,"EdgeIndices","","Iterator over the edge indices of a graph.",null,null],[5,"node_index","","Short version of `NodeIndex::new`",null,{"inputs":[{"name":"usize"}],"output":{"name":"nodeindex"}}],[5,"edge_index","","Short version of `EdgeIndex::new`",null,{"inputs":[{"name":"usize"}],"output":{"name":"edgeindex"}}],[6,"DefIndex","","The default integer type for node and edge indices in `Graph`.\n`u32` is the default to reduce the size of the graph's data and improve\nperformance in the common case.",null,null],[8,"IndexType","","Trait for the unsigned integer type used for node and edge indices.",null,null],[10,"new","","",10,{"inputs":[{"name":"usize"}],"output":{"name":"self"}}],[10,"index","","",10,null],[10,"max","","",10,{"inputs":[],"output":{"name":"self"}}],[11,"zero","","**Deprecated**",10,{"inputs":[],"output":{"name":"self"}}],[11,"one","","**Deprecated**",10,{"inputs":[],"output":{"name":"self"}}],[8,"GraphIndex","","A  `GraphIndex` is a node or edge 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graph.",13,null],[11,"node_count","","Return the number of nodes (vertices) in the graph.",13,null],[11,"edge_count","","Return the number of edges in the graph.",13,null],[11,"is_directed","","Whether the graph has directed edges or not.",13,null],[11,"add_node","","Add a node (also called vertex) with weight `w` to the graph.",13,null],[11,"node_weight","","Access node weight for node `a`.",13,null],[11,"node_weight_mut","","Access node weight for node `a`.",13,null],[11,"add_edge","","Add an edge from `a` to `b` to the graph, with its edge weight.",13,null],[11,"update_edge","","Add or update an edge from `a` to `b`.",13,null],[11,"edge_weight","","Access the edge weight for `e`.",13,null],[11,"edge_weight_mut","","Access the edge weight for `e` mutably.",13,null],[11,"edge_endpoints","","Access the source and target nodes for `e`.",13,null],[11,"remove_node","","Remove `a` from the graph if it exists, and return its weight.\nIf it doesn't exist in the graph, return `None`.",13,null],[11,"remove_edge","","Remove an edge and return its edge weight, or `None` if it didn't exist.",13,null],[11,"neighbors","","Return an iterator of all nodes with an edge starting from `a`.",13,null],[11,"neighbors_directed","","Return an iterator of all neighbors that have an edge between them and `a`,\nin the specified direction.\nIf the graph is undirected, this is equivalent to *.neighbors(a)*.",13,null],[11,"neighbors_undirected","","Return an iterator of all neighbors that have an edge between them and `a`,\nin either direction.\nIf the graph is undirected, this is equivalent to *.neighbors(a)*.",13,null],[11,"edges","","Return an iterator over the neighbors of node `a`, paired with their respective edge\nweights.",13,null],[11,"edges_directed","","Return an iterator of all neighbors that have an edge between them and `a`,\nin the specified direction, paired with the respective edge weights.",13,null],[11,"edges_both","","Return an iterator over the edgs from `a` to its neighbors, then *to* `a` from its\nneighbors.",13,null],[11,"find_edge","","Lookup an edge from `a` to `b`.",13,null],[11,"find_edge_undirected","","Lookup an edge between `a` and `b`, in either direction.",13,null],[11,"without_edges","","Return an iterator over either the nodes without edges to them or from them.",13,null],[11,"node_indices","","Return an iterator over the node indices of the graph",13,null],[11,"node_weights_mut","","Return an iterator yielding mutable access to all node weights.",13,null],[11,"edge_indices","","Return an iterator over the edge indices of the graph",13,null],[11,"edge_weights_mut","","Return an iterator yielding mutable access to all edge weights.",13,null],[11,"raw_nodes","","Access the internal node array.",13,null],[11,"raw_edges","","Access the internal edge array.",13,null],[11,"first_edge","","Accessor for data structure internals: the first edge in the given direction.",13,null],[11,"next_edge","","Accessor for data structure internals: the next edge for the given direction.",13,null],[11,"walk_edges_directed","","Return a “walker” object that can be used to step through the edges\nof the node `a` in direction `dir`.",13,null],[11,"index_twice_mut","","Index the `Graph` by two indices, any combination of\nnode or edge indices is fine.",13,null],[11,"reverse","","Reverse the direction of all edges",13,null],[11,"clear","","Remove all nodes and edges",13,null],[11,"clear_edges","","Remove all edges",13,null],[11,"retain_nodes","","Remove all nodes that return `false` from the `visit` closure.",13,null],[11,"retain_edges","","Remove all edges that return `false` from the `visit` closure.",13,null],[11,"from_edges","","Create a new `Graph` from an iterable of edges.",13,{"inputs":[{"name":"i"}],"output":{"name":"self"}}],[11,"extend_with_edges","","Extend the graph from an iterable of edges.",13,null],[11,"map","","Create a new `Graph` by mapping node and edge weights.",13,null],[11,"filter_map","","Create a new `Graph` by mapping nodes and edges.\nA node or edge may be mapped to `None` to exclude it from\nthe resulting graph.",13,null],[11,"into_edge_type","","Convert the graph into either undirected or directed. 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