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DSA Typescriptprogramming~10 mins

Bipartite Graph Check in DSA Typescript - Interactive Practice

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Practice - 5 Tasks
Answer the questions below
1fill in blank
easy

Complete the code to initialize the color array with -1 for all vertices.

DSA Typescript
const color: number[] = new Array(graph.length).fill([1]);
Drag options to blanks, or click blank then click option'
A-1
B0
C1
Dnull
Attempts:
3 left
💡 Hint
Common Mistakes
Using 0 or 1 which are valid colors instead of -1.
Using null which is not a number.
2fill in blank
medium

Complete the code to assign the first color (0) to the starting vertex.

DSA Typescript
color[start] = [1];
Drag options to blanks, or click blank then click option'
A1
B0
C-1
D2
Attempts:
3 left
💡 Hint
Common Mistakes
Assigning -1 which means uncolored.
Assigning 1 which is the other color but not the start.
3fill in blank
hard

Fix the error in the condition to check if the neighbor has the same color as the current vertex.

DSA Typescript
if (color[neighbor] === color[[1]]) { return false; }
Drag options to blanks, or click blank then click option'
Acurrent
Bneighbor
Cstart
Dgraph
Attempts:
3 left
💡 Hint
Common Mistakes
Comparing neighbor color with itself.
Using an unrelated variable like 'start' or 'graph'.
4fill in blank
hard

Fill both blanks to assign the opposite color to the neighbor and add it to the queue.

DSA Typescript
color[neighbor] = 1 - color[[1]];
queue.push([2]);
Drag options to blanks, or click blank then click option'
Acurrent
Bneighbor
Cstart
Dgraph
Attempts:
3 left
💡 Hint
Common Mistakes
Using 'neighbor' instead of 'current' for color assignment.
Pushing 'current' instead of 'neighbor' to the queue.
5fill in blank
hard

Fill all three blanks to complete the BFS loop for checking bipartite graph.

DSA Typescript
while (queue.length > 0) {
  const [1] = queue.shift()!;
  for (const [2] of graph[[3]]) {
    if (color[neighbor] === -1) {
      color[neighbor] = 1 - color[current];
      queue.push(neighbor);
    } else if (color[neighbor] === color[current]) {
      return false;
    }
  }
}
Drag options to blanks, or click blank then click option'
Acurrent
Bneighbor
Dstart
Attempts:
3 left
💡 Hint
Common Mistakes
Using inconsistent variable names causing confusion.
Using 'start' instead of 'current' in the loop.

Practice

(1/5)
1. What does it mean if a graph is bipartite?
easy
A. Its vertices can be divided into two groups with no edges inside the same group
B. It has an equal number of vertices and edges
C. It contains at least one cycle
D. All vertices have the same degree

Solution

  1. Step 1: Understand bipartite graph definition

    A bipartite graph can be split into two sets where no edges connect vertices within the same set.
  2. Step 2: Compare options with definition

    Only Its vertices can be divided into two groups with no edges inside the same group matches this definition exactly.
  3. Final Answer:

    Its vertices can be divided into two groups with no edges inside the same group -> Option A
  4. Quick Check:

    Bipartite = Two groups, no internal edges [OK]
Hint: Bipartite means two groups with no edges inside groups [OK]
Common Mistakes:
  • Confusing bipartite with equal vertices and edges
  • Thinking bipartite means no cycles
  • Assuming all vertices have same degree
2. Which TypeScript data structure is best to represent a graph for bipartite check?
easy
A. Adjacency list using Map
B. Array of numbers
C. String array
D. Single number variable

Solution

  1. Step 1: Identify graph representation needs

    We need to store edges for each vertex efficiently to check bipartite property.
  2. Step 2: Choose suitable data structure

    An adjacency list using Map stores neighbors for each vertex clearly and is efficient.
  3. Final Answer:

    Adjacency list using Map<number, number[]> -> Option A
  4. Quick Check:

    Graph as adjacency list = Map [OK]
Hint: Use adjacency list (Map) for graph edges [OK]
Common Mistakes:
  • Using simple arrays without edge info
  • Using strings which don't represent graph
  • Using single variable instead of structure
3. What is the output of this TypeScript code that checks if a graph is bipartite?
const graph = new Map([
  [0, [1, 3]],
  [1, [0, 2]],
  [2, [1, 3]],
  [3, [0, 2]]
]);

function isBipartite(graph: Map): boolean {
  const color = new Map();
  for (const node of graph.keys()) {
    if (!color.has(node)) {
      const queue = [node];
      color.set(node, 0);
      while (queue.length) {
        const u = queue.shift()!;
        for (const v of graph.get(u)!) {
          if (!color.has(v)) {
            color.set(v, 1 - color.get(u)!);
            queue.push(v);
          } else if (color.get(v) === color.get(u)) {
            return false;
          }
        }
      }
    }
  }
  return true;
}

console.log(isBipartite(graph));
medium
A. false
B. true
C. undefined
D. SyntaxError

Solution

  1. Step 1: Analyze graph structure

    The graph is a square cycle: 0-1-2-3-0, which is an even cycle and bipartite.
  2. Step 2: Trace BFS coloring

    Starting from node 0 with color 0, neighbors get color 1, their neighbors color 0, no conflicts found.
  3. Final Answer:

    true -> Option B
  4. Quick Check:

    Even cycle graph is bipartite = true [OK]
Hint: Even cycles are bipartite, odd cycles are not [OK]
Common Mistakes:
  • Assuming all cycles are not bipartite
  • Confusing color assignment logic
  • Missing BFS queue processing
4. Find the bug in this TypeScript function that checks if a graph is bipartite:
function isBipartite(graph: Map): boolean {
  const color = new Map();
  for (const node of graph.keys()) {
    if (!color.has(node)) {
      const queue = [node];
      color.set(node, 0);
      while (queue.length) {
        const u = queue.shift()!;
        for (const v of graph.get(u)!) {
          if (!color.has(v)) {
            color.set(v, color.get(u)!);
            queue.push(v);
          } else if (color.get(v) === color.get(u)) {
            return false;
          }
        }
      }
    }
  }
  return true;
}
medium
A. Missing return type boolean
B. queue.shift()! should be queue.pop()
C. color.set(v, color.get(u)!) should be color.set(v, 1 - color.get(u)!)
D. graph.get(u)! should be graph.get(v)!

Solution

  1. Step 1: Identify color assignment error

    The code assigns the same color to neighbors, which breaks bipartite logic.
  2. Step 2: Correct color assignment

    Neighbors must get opposite color: 1 - color of current node.
  3. Final Answer:

    color.set(v, 1 - color.get(u)!) -> Option C
  4. Quick Check:

    Neighbor color = opposite of current [OK]
Hint: Neighbors must have opposite colors [OK]
Common Mistakes:
  • Assigning same color to neighbors
  • Using pop instead of shift in BFS
  • Incorrect graph access
5. Given a graph represented as adjacency list:
const graph = new Map([
  [0, [1, 2]],
  [1, [0, 3]],
  [2, [0, 3]],
  [3, [1, 2, 4]],
  [4, [3]]
]);
Is this graph bipartite? Choose the correct reasoning.
hard
A. Yes, because it has no odd-length cycles
B. No, because node 3 connects to nodes in the same set
C. Yes, because all nodes have even degree
D. No, because it contains a triangle (3-cycle)

Solution

  1. Step 1: Identify cycles in the graph

    There is a triangle cycle: nodes 1-3-2-1 (edges 1-3, 3-2, 2-1), which is an odd-length cycle.
  2. Step 2: Recall bipartite property about cycles

    Graphs containing odd-length cycles are not bipartite.
  3. Final Answer:

    No, because it contains a triangle (3-cycle) -> Option D
  4. Quick Check:

    Odd cycle present = not bipartite [OK]
Hint: Odd cycles mean graph is not bipartite [OK]
Common Mistakes:
  • Falsely identifying triangle in 1-2-3 (actually 1-3-2 forms triangle)
  • Assuming even degree means bipartite
  • Confusing connectivity with bipartite property
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10 questions~5 mineasy hard