mirror of
https://git.telodendria.io/Telodendria/Cytoplasm.git
synced 2024-11-21 19:50:47 +03:00
Add basic Graph API.
This is going to be useful with state resolution and dependency ordering, both of which will be crutial components of Telodendria.
This commit is contained in:
Jordan Bancino
parent
c4ef6d4ddc
commit
e592cd8e5c
2 changed files with 522 additions and 0 deletions
347
src/Graph.c
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347
src/Graph.c
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/*
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* Copyright (C) 2022-2023 Jordan Bancino <@jordan:bancino.net>
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*
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* Permission is hereby granted, free of charge, to any person
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* obtaining a copy of this software and associated documentation files
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* (the "Software"), to deal in the Software without restriction,
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* including without limitation the rights to use, copy, modify, merge,
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* publish, distribute, sublicense, and/or sell copies of the Software,
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* and to permit persons to whom the Software is furnished to do so,
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* subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be
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* included in all copies or portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS
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* BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
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* ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
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* CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#include <Graph.h>
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#include <Memory.h>
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#include <string.h>
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struct Graph
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{
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size_t n;
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Edge *matrix;
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};
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Graph *
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GraphCreate(size_t n)
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{
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Graph *g;
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if (!n)
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{
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return NULL;
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}
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g = Malloc(sizeof(Graph));
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if (!g)
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{
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return NULL;
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}
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g->n = n;
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g->matrix = Malloc((n * n) * sizeof(Edge));
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if (!g->matrix)
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{
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Free(g);
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return NULL;
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}
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memset(g->matrix, 0, (n * n) * sizeof(Edge));
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return g;
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}
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Graph *
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GraphCreateWithEdges(size_t n, Edge * matrix)
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{
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Graph *g = GraphCreate(n);
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if (!g)
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{
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return NULL;
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}
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memcpy(g->matrix, matrix, (n * n) * sizeof(Edge));
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return g;
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}
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void
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GraphFree(Graph * g)
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{
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if (!g)
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{
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return;
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}
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Free(g->matrix);
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Free(g);
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}
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Edge
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GraphEdgeGet(Graph * g, Node n1, Node n2)
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{
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if (n1 >= g->n || n2 >= g->n)
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{
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return -1;
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}
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return g->matrix[(g->n * n1) + n2];
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}
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Edge
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GraphEdgeSet(Graph * g, Node n1, Node n2, Edge e)
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{
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int oldVal;
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if (n1 >= g->n || n2 >= g->n)
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{
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return -1;
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}
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if (e < 0)
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{
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return -1;
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}
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oldVal = g->matrix[(g->n * n1) + n2];
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g->matrix[(g->n * n1) + n2] = e;
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return oldVal;
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}
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size_t
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GraphCountNodes(Graph * g)
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{
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return g ? g->n : 0;
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}
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Node *
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GraphBreadthFirstSearch(Graph * G, Node s, size_t * n)
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{
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Node *visited;
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Node *queue;
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Node *result;
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size_t queueSize;
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Node i;
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if (!G || !n)
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{
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return NULL;
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}
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*n = 0;
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result = Malloc(G->n * sizeof(Node));
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if (!result)
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{
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return NULL;
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}
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if (s >= G->n)
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{
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Free(result);
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return NULL;
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}
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visited = Malloc(G->n * sizeof(Node));
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memset(visited, 0, G->n * sizeof(Node));
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queue = Malloc(G->n * sizeof(Node));
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queueSize = 0;
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visited[s] = 1;
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queueSize++;
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queue[queueSize - 1] = s;
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while (queueSize)
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{
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s = queue[queueSize - 1];
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queueSize--;
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result[*n] = s;
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(*n)++;
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for (i = 0; i < G->n; i++)
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{
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if (GraphEdgeGet(G, s, i) && !visited[i])
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{
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visited[i] = 1;
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queueSize++;
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queue[queueSize - 1] = i;
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}
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}
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}
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Free(visited);
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Free(queue);
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return result;
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}
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static void
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GraphDepthFirstSearchRecursive(Graph * G, Node s, Node * result, size_t * n,
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Node * visited)
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{
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size_t i;
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visited[s] = 1;
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result[*n] = s;
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(*n)++;
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for (i = 0; i < G->n; i++)
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{
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if (GraphEdgeGet(G, s, i) && !visited[i])
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{
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GraphDepthFirstSearchRecursive(G, i, result, n, visited);
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}
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}
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}
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Node *
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GraphDepthFirstSearch(Graph * G, Node s, size_t * n)
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{
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Node *visited;
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Node *result;
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if (!G || !n)
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{
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return NULL;
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}
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result = Malloc(G->n * sizeof(Node));
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if (!result)
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{
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return NULL;
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}
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*n = 0;
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if (s >= G->n)
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{
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Free(result);
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return NULL;
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}
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visited = Malloc(G->n * sizeof(Node));
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memset(visited, 0, G->n * sizeof(Node));
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GraphDepthFirstSearchRecursive(G, s, result, n, visited);
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Free(visited);
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return result;
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}
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static void
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GraphTopologicalSortRecursive(Graph * G, Node s, Node * visited,
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Node * stack, size_t * stackSize)
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{
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size_t i;
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visited[s] = 1;
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for (i = 0; i < G->n; i++)
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{
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if (GraphEdgeGet(G, s, i) && !visited[i])
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{
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GraphTopologicalSortRecursive(G, i, visited, stack, stackSize);
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}
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}
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stack[*stackSize] = s;
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(*stackSize)++;
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}
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Node *
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GraphTopologicalSort(Graph * G, size_t * n)
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{
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Node *visited;
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Node *stack;
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Node *result;
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size_t i;
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size_t stackSize;
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if (!G || !n)
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{
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return NULL;
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}
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*n = 0;
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result = Malloc(G->n * sizeof(Node));
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if (!result)
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{
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return NULL;
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}
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visited = Malloc(G->n * sizeof(Node));
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memset(visited, 0, G->n * sizeof(Node));
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stack = Malloc(G->n * sizeof(Node));
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memset(stack, 0, G->n * sizeof(Node));
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stackSize = 0;
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for (i = 0; i < G->n; i++)
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{
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if (!visited[i])
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{
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GraphTopologicalSortRecursive(G, i, visited, stack, &stackSize);
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}
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}
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Free(visited);
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while (stackSize)
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{
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stackSize--;
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result[*n] = stack[stackSize];
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(*n)++;
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}
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Free(stack);
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return result;
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}
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Graph *
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GraphTranspose(Graph * G)
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{
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Graph *T = Malloc(sizeof(Graph));
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size_t i, j;
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T->n = G->n;
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T->matrix = Malloc((G->n * G->n) * sizeof(Edge));
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memset(T->matrix, 0, (T->n * T->n) * sizeof(Edge));
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for (i = 0; i < G->n; i++)
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{
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for (j = 0; j < G->n; j++)
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{
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if (GraphEdgeGet(G, i, j))
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{
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GraphEdgeSet(T, j, i, GraphEdgeGet(G, i, j));
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}
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}
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}
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return T;
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}
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175
src/include/Graph.h
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175
src/include/Graph.h
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@ -0,0 +1,175 @@
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/*
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* Copyright (C) 2022-2023 Jordan Bancino <@jordan:bancino.net>
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*
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* Permission is hereby granted, free of charge, to any person
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* obtaining a copy of this software and associated documentation files
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* (the "Software"), to deal in the Software without restriction,
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* including without limitation the rights to use, copy, modify, merge,
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* publish, distribute, sublicense, and/or sell copies of the Software,
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* and to permit persons to whom the Software is furnished to do so,
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* subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be
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* included in all copies or portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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* EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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* MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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* NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS
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* BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
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* ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
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* CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef CYTOPLASM_GRAPH_H
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#define CYTOPLASM_GRAPH_H
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/***
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* @Nm Graph
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* @Nd Extremely simple graph, implemented as an adjacency matrix.
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* @Dd July 15 2023
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*
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* .Nm
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* is a basic graph data structure originally written for a computer
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* science class on data structures and algorithms, in which it
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* received full credit. This is an adaptation of the original
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* implementation that follows the Cytoplasm style and uses Cytoplasm
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* APIs when convenient.
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* .P
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* .Nm
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* stores data in an adjacency matrix, which means the storage
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* complexity is O(N^2), where N is the number of vertices (called
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* Nodes in this implementation) in the graph. However, this makes the
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* algorithms fast and efficient.
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* .P
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* Nodes are identified by index, so the first node is 0, the second
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* is 1, and so on. This data structure does not support storing
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* arbitrary data as nodes; rather, the intended use case is to add
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* all your node data to an Array, thus giving each node an index,
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* and then manipulating the graph with that index. This allows access
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* to node data in O(1) time in call cases, and is the most memory
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* efficient.
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* .P
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* .Nm
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* can be used to store a variety of types of graphs, although it is
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* primarily suited to directed and weighted graphs.
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*/
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#include <stddef.h>
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/**
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* The functions provided here operate on an opaque graph structure.
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* This structure really just stores a matrix in a contiguous block of
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* memory, as well as the number of nodes in the graph, but the
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* structure is kept opaque so that it remains internally consistent.
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* It also maintains the style of the Cytoplasm library.
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*/
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typedef struct Graph Graph;
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/**
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* An Edge is really just a weight, which is easily represented by an
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* integer. However, it makes sense to alias this to Edge for clarity,
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* both in the documentation and in the implementation.
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*/
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typedef int Edge;
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/**
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* A Node is really just a row or column in the matrix, which is easily
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* represented by an unsigned integer. However, it makes sense to alias
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* this to Node for clarity, both in the documentation and the
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* implementation.
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*/
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typedef size_t Node;
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/**
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* Create a new graph structure with the given number of vertices.
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*/
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extern Graph *GraphCreate(size_t);
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/**
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* Create a new graph data structure with the given number of vertices
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* and the given adjacency matrix. The adjacency matrix is copied
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* verbatim into the graph data structure without any validation.
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*/
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extern Graph *GraphCreateWithEdges(size_t, Edge *);
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/**
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* Free all memory associated with the given graph. Since graphs are
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* just a collection of numbers, they do not depend on each other in
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* any way.
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*/
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extern void GraphFree(Graph *);
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/**
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* Get the weight of the edge connecting the node specified first to
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* the node specified second. If this is a directed graph, it does not
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* necessarily follow that there is an edge from the node specified
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* second to the node specified first. It also does not follow that
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* such an edge, if it exists, has the same weight.
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* .P
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* This function will return -1 if the graph is invalid or either node
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* is out of bounds. It will return 0 if there is no such edge from the
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* node specified first to the node specified second.
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*/
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extern Edge GraphEdgeGet(Graph *, Node, Node);
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/**
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* Set the weight of the edge connecting the node specified first to
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* the node specified second. If this is not a directed graph, this
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* function will have to be called twice, the second time reversing the
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* order of the nodes. To remove the edge, specify a weight of 0.
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*/
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extern Edge GraphEdgeSet(Graph *, Node, Node, Edge);
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/**
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* Get the number of nodes in the given graph. This operation is a
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* simple memory access that happens in O(1) time.
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*/
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extern size_t GraphCountNodes(Graph *);
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/**
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* Perform a breadth-first search on the given graph, starting at the
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* specified node. This function returns a list of nodes in the order
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* they were touched. The size of the list is stored in the unsigned
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* integer pointed to by the last argument.
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* .P
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* If an error occurs, NULL will be returned. Otherwise, the returned
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* pointer should be freed with the Memory API when it is no longer
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* needed.
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*/
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extern Node * GraphBreadthFirstSearch(Graph *, Node, size_t *);
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/**
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* Perform a depth-first search on the given graph, starting at the
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* specified node. This function returns a list of nodes in the order
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* they were touched. The size of the list is stored in the unsigned
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* integer pointed to by the last argument.
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* .P
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* If an error occurs, NULL will be returned. Otherwise the returned
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* pointer should be freed with the Memory API when it is no longer
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* needed.
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*/
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extern Node *GraphDepthFirstSearch(Graph *, Node, size_t *);
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/**
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* Perform a topological sort on the given graph. This function returns
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* a list of nodes in topological ordering, though note that this is
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* probably not the only topological ordering that exists for the
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* graph. The size of the list is stored in the unsigned integer
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* pointed to by the last argument. It should always be the number of
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* nodes in the graph, but is provided for consistency and convenience.
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* .P
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* If an error occurs, NULL will be returned. Otherwise the returned
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* pointer should be freed with the Memory API when it is no longer
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* needed.
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*/
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extern Node *GraphTopologicalSort(Graph *, size_t *);
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/**
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* Transpose the given graph, returning a brand new graph that is the
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* result of the transposition.
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*/
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extern Graph * GraphTranspose(Graph *);
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#endif /* CYTOPLASM_GRAPH_H */
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