📖 Scenario: Imagine you want to climb a staircase with a certain number of steps. You can climb either 1 step or 2 steps at a time. You want to find out how many different ways you can reach the top.
🎯 Goal: Build a Rust program that calculates the number of distinct ways to climb to the top of a staircase with n steps, where you can take either 1 or 2 steps at a time.
📋 What You'll Learn
Create a variable n representing the total number of steps in the staircase.
Create a variable ways to store the number of ways to climb each step.
Use a loop to calculate the number of ways to reach each step up to n.
Print the total number of ways to climb n steps.
💡 Why This Matters
🌍 Real World
This problem models real-life situations where you need to count possible paths or combinations, such as climbing stairs, walking routes, or step-by-step processes.
💼 Career
Understanding dynamic programming and counting problems is important for software engineering roles that involve algorithm design, optimization, and problem solving.
Progress0 / 4 steps
1
Set the total number of steps
Create a variable called n and set it to 5 to represent the total number of steps in the staircase.
DSA Rust
Hint
Use let n = 5; to create the variable.
2
Create a vector to store ways to climb each step
Create a mutable vector called ways with length n + 1 and initialize all elements to 0. Then set ways[0] and ways[1] to 1 because there is 1 way to stand still and 1 way to climb the first step.
DSA Rust
Hint
Use vec![0; n + 1] to create the vector and assign 1 to the first two elements.
3
Calculate ways to climb each step using a loop
Use a for loop with variable i from 2 to n inclusive. Inside the loop, set ways[i] to ways[i - 1] + ways[i - 2] to count ways to reach step i.
DSA Rust
Hint
Use for i in 2..=n and update ways[i] inside the loop.
4
Print the total number of ways to climb the staircase
Print the value of ways[n] using println! to show the total number of ways to climb n steps.
DSA Rust
Hint
Use println!("{}", ways[n]); to print the result.
Practice
(1/5)
1. What does the Climbing Stairs problem ask you to find? Given n steps, how many distinct ways can you climb to the top if you can take 1 or 2 steps at a time?
easy
A. The maximum number of steps you can skip
B. The total number of distinct ways to reach the top
C. The minimum number of steps to reach the top
D. The number of ways to climb only 1 step at a time
Solution
Step 1: Understand the problem statement
The problem asks for the count of different ways to reach the top by taking either 1 or 2 steps at a time.
Step 2: Identify what is being counted
We count all possible sequences of 1-step and 2-step moves that sum to n steps.
Final Answer:
The total number of distinct ways to reach the top -> Option B
Quick Check:
Counting distinct sequences = total ways [OK]
Hint: Count sequences of 1 or 2 steps summing to n [OK]
Common Mistakes:
Confusing number of ways with minimum steps
Counting only 1-step moves
Ignoring 2-step moves
2. Which of the following Rust function signatures correctly represents a function to solve the Climbing Stairs problem for input n: i32 returning an i32?
easy
A. fn climb_stairs(n: i32) -> String
B. fn climb_stairs(n: i32, result: i32)
C. fn climb_stairs(n: String) -> i32
D. fn climb_stairs(n: i32) -> i32
Solution
Step 1: Check parameter and return types
The input is number of steps as i32, and output is number of ways as i32.
Step 2: Match function signature
Only fn climb_stairs(n: i32) -> i32 matches input and output types correctly.
Final Answer:
fn climb_stairs(n: i32) -> i32 -> Option D
Quick Check:
Input and output types match function signature [OK]
Hint: Input and output types must match problem data [OK]
Common Mistakes:
Using wrong return type like String
Passing input as String instead of i32
Missing return type or extra parameters
3. What is the output of this Rust code for n = 4?
fn climb_stairs(n: i32) -> i32 {
if n <= 2 {
return n;
}
let mut first = 1;
let mut second = 2;
let mut ways = 0;
for _ in 3..=n {
ways = first + second;
first = second;
second = ways;
}
ways
}
fn main() {
println!("{}", climb_stairs(4));
}
medium
A. 4
B. 6
C. 5
D. 7
Solution
Step 1: Trace initial values and loop
n=4, first=1, second=2. Loop runs for i=3 and i=4.
- i=3: ways=1+2=3, first=2, second=3
- i=4: ways=2+3=5, first=3, second=5
Step 2: Return final ways value
After loop, ways=5 is returned and printed.
Final Answer:
5 -> Option C
Quick Check:
Ways for 4 steps = 5 [OK]
Hint: Use Fibonacci-like addition for steps count [OK]
Common Mistakes:
Returning wrong initial value
Off-by-one errors in loop
Mixing first and second variables
4. Identify the bug in this Rust code for climbing stairs and select the fix:
fn climb_stairs(n: i32) -> i32 {
if n == 1 {
return 1;
}
let mut first = 1;
let mut second = 2;
let mut ways = 0;
for i in 2..n {
ways = first + second;
first = second;
second = ways;
}
ways
}
medium
A. Return second instead of ways at the end
B. Initialize ways to 1 instead of 0
C. Change if condition to n <= 2
D. Change loop to for i in 3..=n
Solution
Step 1: Identify the issue with base case n=2
For n=2, if not triggered, loop 2..2 empty, returns ways=0 (wrong, should be 2). second initialized to 2.
Step 2: Observe the update logic
Each loop sets second to the new ways value (nth ways). After loop (or none), second is correct: initial 2 for n=2, updated for larger n.
Final Answer:
Return second instead of ways at the end -> Option A
Quick Check:
second holds nth ways after shifts [OK]
Hint: second tracks the current (nth) ways value [OK]
Common Mistakes:
Loop runs too short or too long
Wrong initial if condition
Returning wrong variable
5. You want to find the number of ways to climb 10 steps but now you can take 1, 2, or 3 steps at a time. Which change to the climbing stairs logic is correct to handle this?
hard
A. Use dp[i] = dp[i-1] + dp[i-2] + dp[i-3] with base cases dp[0]=1, dp[1]=1, dp[2]=2
B. Use dp[i] = dp[i-1] * dp[i-2] * dp[i-3] with base cases dp[0]=1, dp[1]=1, dp[2]=2
C. Use dp[i] = dp[i-1] + dp[i-2] only, ignore 3 steps
D. Use recursion without memoization for all steps
Solution
Step 1: Understand the new step options
Now steps can be 1, 2, or 3 at a time, so ways to reach step i depend on previous 3 steps.
Step 2: Update recurrence relation and base cases
Use dp[i] = dp[i-1] + dp[i-2] + dp[i-3]. Base cases: dp[0]=1 (one way to stand still), dp[1]=1, dp[2]=2.
Final Answer:
Use dp[i] = dp[i-1] + dp[i-2] + dp[i-3] with base cases dp[0]=1, dp[1]=1, dp[2]=2 -> Option A
Quick Check:
Sum of last 3 dp values for each step [OK]
Hint: Sum ways from last 3 steps for new step sizes [OK]
Common Mistakes:
Multiplying dp values instead of adding
Ignoring 3-step moves
Using recursion without memoization causing slowness
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