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DSA Rustprogramming~30 mins

Adjacency List Representation in DSA Rust - Build from Scratch

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Adjacency List Representation
📖 Scenario: You are working on a simple social network app. Each user can have friends. You want to store the friendship connections efficiently.
🎯 Goal: Build an adjacency list representation of a graph using a Rust HashMap where each user is a key and the value is a list of their friends.
📋 What You'll Learn
Create a HashMap called friends with exact user keys and friend lists
Add a variable user to select a specific user
Use the get method on friends with user to get the friend list
Print the friend list for the selected user
💡 Why This Matters
🌍 Real World
Social networks, recommendation systems, and many graph-based problems use adjacency lists to store connections efficiently.
💼 Career
Understanding adjacency lists is fundamental for software engineers working with graph algorithms, network analysis, and data structures.
Progress0 / 4 steps
1
Create the adjacency list
Create a HashMap called friends with these exact entries: "Alice" maps to vec!["Bob", "Charlie"], "Bob" maps to vec!["Alice"], and "Charlie" maps to vec!["Alice"].
DSA Rust
Hint

Use HashMap::new() to create the map. Use insert to add each user and their friends.

2
Select a user
Add a variable called user and set it to the string "Alice".
DSA Rust
Hint

Use let user = "Alice"; to create the variable.

3
Get the friend list for the user
Use the get method on friends with user to get the friend list. Store the result in a variable called user_friends. Use unwrap() to get the vector from the Option.
DSA Rust
Hint

Use friends.get(user).unwrap() to get the vector of friends.

4
Print the friend list
Print the user_friends variable using println! with the format string "{}'s friends: {:?}" and arguments user and user_friends.
DSA Rust
Hint

Use println!("{}'s friends: {:?}", user, user_friends); to print the list.

Practice

(1/5)
1. What does an adjacency list represent in graph data structures?
easy
A. A list of all nodes without connections
B. A matrix showing distances between nodes
C. A list where each node stores its connected neighbors
D. A queue of nodes to visit next

Solution

  1. Step 1: Understand graph representation

    An adjacency list stores each node with a list of its neighbors, showing direct connections.
  2. Step 2: Compare options

    Only A list where each node stores its connected neighbors describes this correctly; others describe different structures or concepts.
  3. Final Answer:

    A list where each node stores its connected neighbors -> Option C
  4. Quick Check:

    Adjacency list = neighbors list [OK]
Hint: Adjacency list = node with its neighbors [OK]
Common Mistakes:
  • Confusing adjacency list with adjacency matrix
  • Thinking adjacency list stores distances
  • Mixing up with traversal queues
2. Which Rust data structure is best suited to represent an adjacency list for a graph with nodes labeled 0 to n-1?
easy
A. Vec
B. HashMap
C. Vec<usize>
D. HashSet<usize>

Solution

  1. Step 1: Identify adjacency list structure

    An adjacency list for nodes 0 to n-1 is a vector where each index holds a vector of neighbors.
  2. Step 2: Match Rust types

    Vec matches this: outer Vec for nodes, inner Vec for neighbors. Others don't store neighbors per node properly.
  3. Final Answer:

    Vec -> Option A
  4. Quick Check:

    Vec of Vecs = adjacency list [OK]
Hint: Use Vec for adjacency list in Rust [OK]
Common Mistakes:
  • Using HashMap with single usize value instead of list
  • Using Vec<usize> which holds only one neighbor list
  • Using HashSet which doesn't map nodes to neighbors
3. Given the following Rust code, what is the printed adjacency list?
let mut graph: Vec = vec![vec![], vec![], vec![]];
graph[0].push(1);
graph[1].push(2);
graph[2].push(0);
println!("{:?}", graph);
medium
A. [[0], [1], [2]]
B. [[1], [2], [0]]
C. [[], [], []]
D. [[2], [0], [1]]

Solution

  1. Step 1: Trace graph initialization

    graph starts as three empty vectors: [[], [], []]
  2. Step 2: Apply push operations

    graph[0].push(1) -> [[1], [], []] graph[1].push(2) -> [[1], [2], []] graph[2].push(0) -> [[1], [2], [0]]
  3. Final Answer:

    [[1], [2], [0]] -> Option B
  4. Quick Check:

    Push neighbors correctly = [[1], [2], [0]] [OK]
Hint: Follow push calls step-by-step [OK]
Common Mistakes:
  • Mixing indices when pushing neighbors
  • Assuming graph is empty after pushes
  • Confusing order of neighbors
4. Identify the error in this Rust code snippet for creating an adjacency list:
let mut graph: Vec = Vec::new();
graph[0].push(1);
medium
A. Vec::new() cannot be mutable
B. usize type is incorrect for adjacency list
C. push method does not exist for Vec
D. graph is empty, so graph[0] access causes panic

Solution

  1. Step 1: Analyze graph initialization

    graph is empty Vec with no elements, so graph[0] does not exist.
  2. Step 2: Understand indexing error

    Accessing graph[0] causes runtime panic because index 0 is out of bounds.
  3. Final Answer:

    graph is empty, so graph[0] access causes panic -> Option D
  4. Quick Check:

    Empty Vec indexing = panic [OK]
Hint: Initialize Vec with size before indexing [OK]
Common Mistakes:
  • Assuming Vec::new() has elements
  • Confusing mutability with initialization
  • Thinking push is invalid method
5. You want to represent a directed graph with 4 nodes using an adjacency list in Rust. Which code correctly initializes the graph and adds edges from node 0 to 1 and 2, and from node 2 to 3?
hard
A. let mut graph = vec![vec![], vec![], vec![], vec![]]; graph[0].push(1); graph[0].push(2); graph[2].push(3);
B. let mut graph = Vec::new(); graph[0].push(1); graph[0].push(2); graph[2].push(3);
C. let mut graph = vec![0; 4]; graph[0] = 1; graph[0] = 2; graph[2] = 3;
D. let mut graph = vec![vec![0]; 4]; graph[0].push(1); graph[0].push(2); graph[2].push(3);

Solution

  1. Step 1: Check graph initialization

    let mut graph = vec![vec![], vec![], vec![], vec![]]; graph[0].push(1); graph[0].push(2); graph[2].push(3); initializes a Vec of Vecs with 4 empty vectors, ready to hold neighbors.
  2. Step 2: Verify edge additions

    graph[0].push(1) and graph[0].push(2) add edges from node 0 to 1 and 2; graph[2].push(3) adds edge from 2 to 3.
  3. Step 3: Identify errors in other options

    let mut graph = Vec::new(); graph[0].push(1); graph[0].push(2); graph[2].push(3);: graph is empty Vec, indexing causes panic. let mut graph = vec![0; 4]; graph[0] = 1; graph[0] = 2; graph[2] = 3;: graph is Vec<usize>, not Vec; push invalid. let mut graph = vec![vec![0]; 4]; graph[0].push(1); graph[0].push(2); graph[2].push(3);: graph initialized with vec![vec![0]; 4] means each node starts with neighbor 0, incorrect.
  4. Final Answer:

    let mut graph = vec![vec![], vec![], vec![], vec![]]; graph[0].push(1); graph[0].push(2); graph[2].push(3); -> Option A
  5. Quick Check:

    Vec of empty Vecs + push edges = correct [OK]
Hint: Initialize Vec with empty Vecs before pushing [OK]
Common Mistakes:
  • Using empty Vec without size causes panic
  • Initializing with repeated vec![0] adds wrong neighbors
  • Using Vec<usize> instead of Vec
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