Refactor BipartiteGraphDFS.java, add Junit tests (#5606)

* Refactor `BipartiteGraphDFS.java`, add Junit tests

* Update directory

* Fix

* Add suggested changes

* Update BipartiteGraphDFS.java

---------

Co-authored-by: Hardvan <Hardvan@users.noreply.github.com>
Co-authored-by: Alex Klymenko <alexanderklmn@gmail.com>
This commit is contained in:
Hardik Pawar
2024-10-07 17:01:13 +05:30
committed by GitHub
parent 2001a097e2
commit 387707ffe5
3 changed files with 114 additions and 38 deletions

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@ -676,6 +676,7 @@
* dynamicarray
* [DynamicArrayTest](https://github.com/TheAlgorithms/Java/blob/master/src/test/java/com/thealgorithms/datastructures/dynamicarray/DynamicArrayTest.java)
* graphs
* [BipartiteGraphDFSTest](https://github.com/TheAlgorithms/Java/blob/master/src/test/java/com/thealgorithms/datastructures/graphs/BipartiteGraphDFSTest.java)
* [BoruvkaAlgorithmTest](https://github.com/TheAlgorithms/Java/blob/master/src/test/java/com/thealgorithms/datastructures/graphs/BoruvkaAlgorithmTest.java)
* [DijkstraAlgorithmTest](https://github.com/TheAlgorithms/Java/blob/master/src/test/java/com/thealgorithms/datastructures/graphs/DijkstraAlgorithmTest.java)
* [EdmondsBlossomAlgorithmTest](https://github.com/TheAlgorithms/Java/blob/master/src/test/java/com/thealgorithms/datastructures/graphs/EdmondsBlossomAlgorithmTest.java)

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@ -1,23 +1,49 @@
package com.thealgorithms.datastructures.graphs;
import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.util.ArrayList;
import java.util.Arrays;
/**
* Given an adjacency list of a graph adj of V no. of vertices having 0 based
* index. Check whether the graph is bipartite or not.
* This class provides a method to check if a given undirected graph is bipartite using Depth-First Search (DFS).
* A bipartite graph is a graph whose vertices can be divided into two disjoint sets such that no two vertices
* within the same set are adjacent. In other words, all edges must go between the two sets.
*
* Input : {{0, 1, 0, 1}, {1, 0, 1, 0}, {0, 1, 0, 1}, {1, 0, 1, 0}}
* The implementation leverages DFS to attempt to color the graph using two colors. If we can color the graph such
* that no two adjacent vertices have the same color, the graph is bipartite.
*
* Output : YES
* Example:
* Input (Adjacency Matrix):
* {{0, 1, 0, 1},
* {1, 0, 1, 0},
* {0, 1, 0, 1},
* {1, 0, 1, 0}}
*
* Output: YES (This graph is bipartite)
*
* Input (Adjacency Matrix):
* {{0, 1, 1, 0},
* {1, 0, 1, 0},
* {1, 1, 0, 1},
* {0, 0, 1, 0}}
*
* Output: NO (This graph is not bipartite)
*/
public final class BipartiteGraphDFS {
private BipartiteGraphDFS() {
}
/**
* Helper method to perform DFS and check if the graph is bipartite.
*
* During DFS traversal, this method attempts to color each vertex in such a way
* that no two adjacent vertices share the same color.
*
* @param v Number of vertices in the graph
* @param adj Adjacency list of the graph where each index i contains a list of adjacent vertices
* @param color Array to store the color assigned to each vertex (-1 indicates uncolored)
* @param node Current vertex being processed
* @return True if the graph (or component of the graph) is bipartite, otherwise false
*/
private static boolean bipartite(int v, ArrayList<ArrayList<Integer>> adj, int[] color, int node) {
if (color[node] == -1) {
color[node] = 1;
@ -35,11 +61,16 @@ public final class BipartiteGraphDFS {
return true;
}
/**
* Method to check if the graph is bipartite.
*
* @param v Number of vertices in the graph
* @param adj Adjacency list of the graph
* @return True if the graph is bipartite, otherwise false
*/
public static boolean isBipartite(int v, ArrayList<ArrayList<Integer>> adj) {
// Code here
int[] color = new int[v + 1];
Arrays.fill(color, -1);
for (int i = 0; i < v; i++) {
if (color[i] == -1) {
if (!bipartite(v, adj, color, i)) {
@ -49,33 +80,4 @@ public final class BipartiteGraphDFS {
}
return true;
}
public static void main(String[] args) throws IOException {
BufferedReader read = new BufferedReader(new InputStreamReader(System.in));
int t = Integer.parseInt(read.readLine().trim());
while (t-- > 0) {
String[] str1 = read.readLine().trim().split(" ");
int numVertices = Integer.parseInt(str1[0]);
int numEdges = Integer.parseInt(str1[1]);
ArrayList<ArrayList<Integer>> adj = new ArrayList<>();
for (int i = 0; i < numVertices; i++) {
adj.add(new ArrayList<>());
}
for (int i = 0; i < numEdges; i++) {
String[] str2 = read.readLine().trim().split(" ");
int vertexU = Integer.parseInt(str2[0]);
int vertexV = Integer.parseInt(str2[1]);
adj.get(vertexU).add(vertexV);
adj.get(vertexV).add(vertexU);
}
boolean ans = isBipartite(numVertices, adj);
if (ans) {
System.out.println("YES");
} else {
System.out.println("NO");
}
}
}
}

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@ -0,0 +1,73 @@
package com.thealgorithms.datastructures.graphs;
import static org.junit.jupiter.api.Assertions.assertFalse;
import static org.junit.jupiter.api.Assertions.assertTrue;
import java.util.ArrayList;
import org.junit.jupiter.api.Test;
public class BipartiteGraphDFSTest {
// Helper method to create an adjacency list from edges
private ArrayList<ArrayList<Integer>> createAdjacencyList(int numVertices, int[][] edges) {
ArrayList<ArrayList<Integer>> adj = new ArrayList<>();
for (int i = 0; i < numVertices; i++) {
adj.add(new ArrayList<>());
}
for (int[] edge : edges) {
int vertexU = edge[0];
int vertexV = edge[1];
adj.get(vertexU).add(vertexV);
adj.get(vertexV).add(vertexU);
}
return adj;
}
@Test
public void testBipartiteGraphEvenCycle() {
int numVertices = 4;
int[][] edges = {{0, 1}, {1, 2}, {2, 3}, {3, 0}}; // Even cycle
ArrayList<ArrayList<Integer>> adj = createAdjacencyList(numVertices, edges);
assertTrue(BipartiteGraphDFS.isBipartite(numVertices, adj), "Graph should be bipartite (even cycle)");
}
@Test
public void testBipartiteGraphOddCycle() {
int numVertices = 5;
int[][] edges = {{0, 1}, {1, 2}, {2, 0}, {1, 3}, {3, 4}}; // Odd cycle
ArrayList<ArrayList<Integer>> adj = createAdjacencyList(numVertices, edges);
assertFalse(BipartiteGraphDFS.isBipartite(numVertices, adj), "Graph should not be bipartite (odd cycle)");
}
@Test
public void testBipartiteGraphDisconnected() {
int numVertices = 6;
int[][] edges = {{0, 1}, {2, 3}, {4, 5}}; // Disconnected bipartite graphs
ArrayList<ArrayList<Integer>> adj = createAdjacencyList(numVertices, edges);
assertTrue(BipartiteGraphDFS.isBipartite(numVertices, adj), "Graph should be bipartite (disconnected)");
}
@Test
public void testBipartiteGraphSingleVertex() {
int numVertices = 1;
int[][] edges = {}; // Single vertex, no edges
ArrayList<ArrayList<Integer>> adj = createAdjacencyList(numVertices, edges);
assertTrue(BipartiteGraphDFS.isBipartite(numVertices, adj), "Graph should be bipartite (single vertex)");
}
@Test
public void testBipartiteGraphCompleteBipartite() {
int numVertices = 4;
int[][] edges = {{0, 2}, {0, 3}, {1, 2}, {1, 3}}; // K2,2 (Complete bipartite graph)
ArrayList<ArrayList<Integer>> adj = createAdjacencyList(numVertices, edges);
assertTrue(BipartiteGraphDFS.isBipartite(numVertices, adj), "Graph should be bipartite (complete bipartite)");
}
@Test
public void testBipartiteGraphNonBipartite() {
int numVertices = 3;
int[][] edges = {{0, 1}, {1, 2}, {2, 0}}; // Triangle (odd cycle)
ArrayList<ArrayList<Integer>> adj = createAdjacencyList(numVertices, edges);
assertFalse(BipartiteGraphDFS.isBipartite(numVertices, adj), "Graph should not be bipartite (triangle)");
}
}