// Type definitions for graphlib 2.1.1 // Project: https://github.com/cpettitt/graphlib // Definitions by: Dan Vanderkam , Dan Mironenko // Definitions: https://github.com/DefinitelyTyped/DefinitelyTyped declare module '@dagrejs/graphlib' { export interface GraphOptions { directed?: boolean; // default: true. multigraph?: boolean; // default: false. compound?: boolean; // default: false. } export interface Edge { v: string; w: string; /** The name that uniquely identifies a multi-edge. */ name?: string; } export class Graph { constructor(options?: GraphOptions); /** * Sets the default node label. This label will be assigned as default label * in case if no label was specified while setting a node. * Complexity: O(1). * * @argument label - default node label. * @returns the graph, allowing this to be chained with other functions. */ setDefaultNodeLabel(label: any): Graph; /** * Sets the default node label factory function. This function will be invoked * each time when setting a node with no label specified and returned value * will be used as a label for node. * Complexity: O(1). * * @argument labelFn - default node label factory function. * @returns the graph, allowing this to be chained with other functions. */ setDefaultNodeLabel(labelFn: (v: string) => any): Graph; /** * Creates or updates the value for the node v in the graph. If label is supplied * it is set as the value for the node. If label is not supplied and the node was * created by this call then the default node label will be assigned. * Complexity: O(1). * * @argument name - node name. * @argument label - value to set for node. * @returns the graph, allowing this to be chained with other functions. */ setNode(name: string, label?: any): Graph; /** * Invokes setNode method for each node in names list. * Complexity: O(|names|). * * @argument names - list of nodes names to be set. * @argument label - value to set for each node in list. * @returns the graph, allowing this to be chained with other functions. */ setNodes(names: string[], label?: any): Graph; /** * Sets node p as a parent for node v if it is defined, or removes the * parent for v if p is undefined. Method throws an exception in case of * invoking it in context of noncompound graph. * Average-case complexity: O(1). * * @argument v - node to be child for p. * @argument p - node to be parent for v. * @returns the graph, allowing this to be chained with other functions. */ setParent(v: string, p?: string): Graph; /** * Gets parent node for node v. * Complexity: O(1). * * @argument v - node to get parent of. * @returns parent node name or void if v has no parent. */ parent(v: string): string | void; /** * Gets list of direct children of node v. * Complexity: O(1). * * @argument v - node to get children of. * @returns children nodes names list. */ children(v: string): string[]; /** * Creates new graph with nodes filtered via filter. Edges incident to rejected node * are also removed. In case of compound graph, if parent is rejected by filter, * than all its children are rejected too. * Average-case complexity: O(|E|+|V|). * * @argument filter - filtration function detecting whether the node should stay or not. * @returns new graph made from current and nodes filtered. */ filterNodes(filter: (v: string) => boolean): Graph; /** * Sets the default edge label. This label will be assigned as default label * in case if no label was specified while setting an edge. * Complexity: O(1). * * @argument label - default edge label. * @returns the graph, allowing this to be chained with other functions. */ setDefaultEdgeLabel(label: any): Graph; /** * Sets the default edge label factory function. This function will be invoked * each time when setting an edge with no label specified and returned value * will be used as a label for edge. * Complexity: O(1). * * @argument labelFn - default edge label factory function. * @returns the graph, allowing this to be chained with other functions. */ setDefaultEdgeLabel(labelFn: (v: string) => any): Graph; /** * Establish an edges path over the nodes in nodes list. If some edge is already * exists, it will update its label, otherwise it will create an edge between pair * of nodes with label provided or default label if no label provided. * Complexity: O(|nodes|). * * @argument nodes - list of nodes to be connected in series. * @argument label - value to set for each edge between pairs of nodes. * @returns the graph, allowing this to be chained with other functions. */ setPath(nodes: string[], label?: any): Graph; /** * Detects whether graph has a node with specified name or not. * * @argument name - name of the node. * @returns true if graph has node with specified name, false - otherwise. */ hasNode(name: string): boolean; /** * Remove the node with the name from the graph or do nothing if the node is not in * the graph. If the node was removed this function also removes any incident * edges. * Complexity: O(1). * * @argument name - name of the node. * @returns the graph, allowing this to be chained with other functions. */ removeNode(name: string): Graph; /** * Gets all nodes of the graph. Note, the in case of compound graph subnodes are * not included in list. * Complexity: O(1). * * @returns list of graph nodes. */ nodes(): string[]; /** * Gets the label of node with specified name. * Complexity: O(|V|). * * @returns label value of the node. */ node(name: string): any; /** * Creates or updates the label for the edge (v, w) with the optionally supplied * name. If label is supplied it is set as the value for the edge. If label is not * supplied and the edge was created by this call then the default edge label will * be assigned. The name parameter is only useful with multigraphs. * Complexity: O(1). * * @argument v - edge source node. * @argument w - edge sink node. * @argument label - value to associate with the edge. * @argument name - unique name of the edge in order to identify it in multigraph. * @returns the graph, allowing this to be chained with other functions. */ setEdge(v: string, w: string, label?: any, name?: string): Graph; /** * Creates or updates the label for the specified edge. If label is supplied it is * set as the value for the edge. If label is not supplied and the edge was created * by this call then the default edge label will be assigned. The name parameter is * only useful with multigraphs. * Complexity: O(1). * * @argument edge - edge descriptor. * @argument label - value to associate with the edge. * @returns the graph, allowing this to be chained with other functions. */ setEdge(edge: Edge, label?: any): Graph; /** * Gets edges of the graph. In case of compound graph subgraphs are not considered. * Complexity: O(|E|). * * @return graph edges list. */ edges(): Edge[]; /** * Gets the label for the specified edge. * Complexity: O(1). * * @argument v - edge source node. * @argument w - edge sink node. * @argument name - name of the edge (actual for multigraph). * @returns value associated with specified edge. */ edge(v: string, w: string, name?: string): any; /** * Gets the label for the specified edge. * Complexity: O(1). * * @argument edge - edge descriptor. * @returns value associated with specified edge. */ edge(e: Edge): any; /** * Gets the label for the specified edge and converts it to an object. * Complexity: O(1). * * @argument v - edge source node. * @argument w - edge sink node. * @argument name - name of the edge (actual for multigraph). * @returns value associated with specified edge. */ edgeAsObj(v: string, w: string, name?: string): Object; /** * Gets the label for the specified edge and converts it to an object. * Complexity: O(1). * * @argument edge - edge descriptor. * @returns value associated with specified edge. */ edgeAsObj(e: Edge): Object; /** * Detects whether the graph contains specified edge or not. No subgraphs are considered. * Complexity: O(1). * * @argument v - edge source node. * @argument w - edge sink node. * @argument name - name of the edge (actual for multigraph). * @returns whether the graph contains the specified edge or not. */ hasEdge(v: string, w: string, name?: string): boolean; /** * Detects whether the graph contains specified edge or not. No subgraphs are considered. * Complexity: O(1). * * @argument edge - edge descriptor. * @returns whether the graph contains the specified edge or not. */ hasEdge(edge: Edge): boolean; /** * Removes the specified edge from the graph. No subgraphs are considered. * Complexity: O(1). * * @argument edge - edge descriptor. * @returns the graph, allowing this to be chained with other functions. */ removeEdge(edge: Edge): Graph; /** * Removes the specified edge from the graph. No subgraphs are considered. * Complexity: O(1). * * @argument v - edge source node. * @argument w - edge sink node. * @argument name - name of the edge (actual for multigraph). * @returns the graph, allowing this to be chained with other functions. */ removeEdge(v: string, w: string, name?: string): Graph; /** * Return all edges that point to the node v. Optionally filters those edges down to just those * coming from node u. Behavior is undefined for undirected graphs - use nodeEdges instead. * Complexity: O(|E|). * * @argument v - edge sink node. * @argument w - edge source node. * @returns edges descriptors list if v is in the graph, or undefined otherwise. */ inEdges(v: string, w?: string): void | Edge[]; /** * Return all edges that are pointed at by node v. Optionally filters those edges down to just * those point to w. Behavior is undefined for undirected graphs - use nodeEdges instead. * Complexity: O(|E|). * * @argument v - edge source node. * @argument w - edge sink node. * @returns edges descriptors list if v is in the graph, or undefined otherwise. */ outEdges(v: string, w?: string): void | Edge[]; /** * Returns all edges to or from node v regardless of direction. Optionally filters those edges * down to just those between nodes v and w regardless of direction. * Complexity: O(|E|). * * @argument v - edge adjacent node. * @argument w - edge adjacent node. * @returns edges descriptors list if v is in the graph, or undefined otherwise. */ nodeEdges(v: string, w?: string): void | Edge[]; /** * Return all nodes that are predecessors of the specified node or undefined if node v is not in * the graph. Behavior is undefined for undirected graphs - use neighbors instead. * Complexity: O(|V|). * * @argument v - node identifier. * @returns node identifiers list or undefined if v is not in the graph. */ predecessors(v: string): void | string[]; /** * Return all nodes that are successors of the specified node or undefined if node v is not in * the graph. Behavior is undefined for undirected graphs - use neighbors instead. * Complexity: O(|V|). * * @argument v - node identifier. * @returns node identifiers list or undefined if v is not in the graph. */ successors(v: string): void | string[]; /** * Return all nodes that are predecessors or successors of the specified node or undefined if * node v is not in the graph. * Complexity: O(|V|). * * @argument v - node identifier. * @returns node identifiers list or undefined if v is not in the graph. */ neighbors(v: string): void | string[]; /** * Whether graph was created with 'directed' flag set to true or not. * * @returns whether the graph edges have an orientation. */ isDirected(): boolean; /** * Whether graph was created with 'multigraph' flag set to true or not. * * @returns whether the pair of nodes of the graph can have multiple edges. */ isMultigraph(): boolean; /** * Whether graph was created with 'compound' flag set to true or not. * * @returns whether a node of the graph can have subnodes. */ isCompound(): boolean; /** * Sets the label of the graph. * * @argument label - label value. * @returns the graph, allowing this to be chained with other functions. */ setGraph(label: any): Graph; /** * Gets the graph label. * * @returns currently assigned label for the graph or undefined if no label assigned. */ graph(): any; /** * Gets the number of nodes in the graph. * Complexity: O(1). * * @returns nodes count. */ nodeCount(): number; /** * Gets the number of edges in the graph. * Complexity: O(1). * * @returns edges count. */ edgeCount(): number; /** * Gets list of nodes without in-edges. * Complexity: O(|V|). * * @returns the graph source nodes. */ sources(): string[]; /** * Gets list of nodes without out-edges. * Complexity: O(|V|). * * @returns the graph source nodes. */ sinks(): string[]; } export namespace json { /** * Creates a JSON representation of the graph that can be serialized to a string with * JSON.stringify. The graph can later be restored using json.read. * * @argument graph - target to create JSON representation of. * @returns JSON serializable graph representation */ function write(graph: Graph): Object; /** * Takes JSON as input and returns the graph representation. * * @example * var g2 = graphlib.json.read(JSON.parse(str)); * g2.nodes(); * // ['a', 'b'] * g2.edges() * // [ { v: 'a', w: 'b' } ] * * @argument json - JSON serializable graph representation * @returns graph constructed acccording to specified representation */ function read(json: Object): Graph; } export interface Path { distance: number; predecessor: string; } export namespace alg { /** * Finds all connected components in a graph and returns an array of these components. * Each component is itself an array that contains the ids of nodes in the component. * Complexity: O(|V|). * * @argument graph - graph to find components in. * @returns array of nodes list representing components */ function components(graph: Graph): string[][]; /** * This function is an implementation of Dijkstra's algorithm which finds the shortest * path from source to all other nodes in graph. This function returns a map of * v -> { distance, predecessor }. The distance property holds the sum of the weights * from source to v along the shortest path or Number.POSITIVE_INFINITY if there is no path * from source. The predecessor property can be used to walk the individual elements of the * path from source to v in reverse order. * Complexity: O((|E| + |V|) * log |V|). * * @argument graph - graph where to search pathes. * @argument source - node to start pathes from. * @argument weightFn - function which takes edge e and returns the weight of it. If no weightFn * is supplied then each edge is assumed to have a weight of 1. This function throws an * Error if any of the traversed edges have a negative edge weight. * @argument edgeFn - function which takes a node v and returns the ids of all edges incident to it * for the purposes of shortest path traversal. By default this function uses the graph.outEdges. * @returns shortest pathes map that starts from node source */ function dijkstra( graph: Graph, source: string, weightFn?: (e: Edge) => number, edgeFn?: (v: string) => Edge[] ): { [node: string]: Path }; /** * This function finds the shortest path from each node to every other reachable node in * the graph. It is similar to alg.dijkstra, but instead of returning a single-source * array, it returns a mapping of source -> alg.dijksta(g, source, weightFn, edgeFn). * Complexity: O(|V| * (|E| + |V|) * log |V|). * * @argument graph - graph where to search pathes. * @argument weightFn - function which takes edge e and returns the weight of it. If no weightFn * is supplied then each edge is assumed to have a weight of 1. This function throws an * Error if any of the traversed edges have a negative edge weight. * @argument edgeFn - function which takes a node v and returns the ids of all edges incident to it * for the purposes of shortest path traversal. By default this function uses the graph.outEdges. * @returns shortest pathes map. */ function dijkstraAll( graph: Graph, weightFn?: (e: Edge) => number, edgeFn?: (v: string) => Edge[] ): { [source: string]: { [node: string]: Path } }; /** * Given a Graph, graph, this function returns all nodes that are part of a cycle. As there * may be more than one cycle in a graph this function return an array of these cycles, * where each cycle is itself represented by an array of ids for each node involved in * that cycle. Method alg.isAcyclic is more efficient if you only need to determine whether a graph has a * cycle or not. * Complexity: O(|V| + |E|). * * @argument graph - graph where to search cycles. * @returns cycles list. */ function findCycles(graph: Graph): string[][]; /** * Given a Graph, graph, this function returns true if the graph has no cycles and returns false if it * does. This algorithm returns as soon as it detects the first cycle. You can use alg.findCycles * to get the actual list of cycles in the graph. * * @argument graph - graph to detect whether it acyclic ot not. * @returns whether graph contain cycles or not. */ function isAcyclic(graph: Graph): boolean; /** * This function is an implementation of the Floyd-Warshall algorithm, which finds the * shortest path from each node to every other reachable node in the graph. It is similar * to alg.dijkstraAll, but it handles negative edge weights and is more efficient for some types * of graphs. This function returns a map of source -> { target -> { distance, predecessor }. * The distance property holds the sum of the weights from source to target along the shortest * path of Number.POSITIVE_INFINITY if there is no path from source. The predecessor property * can be used to walk the individual elements of the path from source to target in reverse * order. * Complexity: O(|V|^3). * * @argument graph - graph where to search pathes. * @argument weightFn - function which takes edge e and returns the weight of it. If no weightFn * is supplied then each edge is assumed to have a weight of 1. This function throws an * Error if any of the traversed edges have a negative edge weight. * @argument edgeFn - function which takes a node v and returns the ids of all edges incident to it * for the purposes of shortest path traversal. By default this function uses the graph.outEdges. * @returns shortest pathes map. */ function floydWarshall( graph: Graph, weightFn?: (e: Edge) => number, edgeFn?: (v: string) => Edge[] ): { [source: string]: { [node: string]: Path } }; /** * Prim's algorithm takes a connected undirected graph and generates a minimum spanning tree. This * function returns the minimum spanning tree as an undirected graph. This algorithm is derived * from the description in "Introduction to Algorithms", Third Edition, Cormen, et al., Pg 634. * Complexity: O(|E| * log |V|); * * @argument graph - graph to generate a minimum spanning tree of. * @argument weightFn - function which takes edge e and returns the weight of it. It throws an Error if * the graph is not connected. * @returns minimum spanning tree of graph. */ function prim(graph: Graph, weightFn: (e: Edge) => number): Graph; /** * This function is an implementation of Tarjan's algorithm which finds all strongly connected * components in the directed graph g. Each strongly connected component is composed of nodes that * can reach all other nodes in the component via directed edges. A strongly connected component * can consist of a single node if that node cannot both reach and be reached by any other * specific node in the graph. Components of more than one node are guaranteed to have at least * one cycle. * Complexity: O(|V| + |E|). * * @argument graph - graph to find all strongly connected components of. * @return an array of components. Each component is itself an array that contains * the ids of all nodes in the component. */ function tarjan(graph: Graph): string[][]; /** * Given a Graph graph this function applies topological sorting to it. * If the graph has a cycle it is impossible to generate such a list and CycleException is thrown. * Complexity: O(|V| + |E|). * * @argument graph - graph to apply topological sorting to. * @returns an array of nodes such that for each edge u -> v, u appears before v in the array. */ function topsort(graph: Graph): string[]; /** * Performs pre-order depth first traversal on the input graph. If the graph is * undirected then this algorithm will navigate using neighbors. If the graph * is directed then this algorithm will navigate using successors. * * @argument graph - depth first traversal target. * @argument vs - nodes list to traverse. * @returns the nodes in the order they were visited as a list of their names. */ function preorder(graph: Graph, vs: string[]): string[]; /** * Performs post-order depth first traversal on the input graph. If the graph is * undirected then this algorithm will navigate using neighbors. If the graph * is directed then this algorithm will navigate using successors. * * @argument graph - depth first traversal target. * @argument vs - nodes list to traverse. * @returns the nodes in the order they were visited as a list of their names. */ function postorder(graph: Graph, vs: string[]): string[]; } }