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DSA Rustprogramming~5 mins

Partition Equal Subset Sum in DSA Rust - Cheat Sheet & Quick Revision

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Recall & Review
beginner
What is the main goal of the Partition Equal Subset Sum problem?
To determine if a given list of positive integers can be split into two subsets with equal sums.
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beginner
Why do we check if the total sum of the array is even in the Partition Equal Subset Sum problem?
Because if the total sum is odd, it is impossible to split the array into two equal sum subsets.
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intermediate
What technique is commonly used to solve the Partition Equal Subset Sum problem efficiently?
Dynamic programming is used to check if a subset with sum equal to half of the total sum exists.
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intermediate
In Rust, which data structure is suitable to keep track of achievable sums during the dynamic programming solution?
A vector of booleans (Vec<bool>) where each index represents if a sum is achievable or not.
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intermediate
What is the time complexity of the dynamic programming solution for Partition Equal Subset Sum?
O(n * sum/2), where n is the number of elements and sum is the total sum of the array.
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What should be the first step before attempting to find subsets in the Partition Equal Subset Sum problem?
ACheck if the total sum of the array is even
BSort the array
CFind the maximum element
DReverse the array
In the dynamic programming approach, what does dp[i] = true represent?
ASum i is not achievable
BIndex i is included in the subset
CSum i is achievable by some subset
DSum i is the maximum sum
If the input array is [1, 5, 11, 5], what is the target sum to find a subset for?
A16
B22
C5
D11
Which Rust type is best to represent the dp array for subset sums?
AVec<bool>
BVec<i32>
CHashMap<i32, bool>
DVec<String>
What does it mean if after processing all elements dp[target] is false?
AArray is empty
BNo subset sums to target
CTarget is zero
DAll subsets sum to target
Explain the steps to solve the Partition Equal Subset Sum problem using dynamic programming.
Think about how to find a subset with sum equal to half of the total sum.
You got /5 concepts.
    Describe how you would implement the Partition Equal Subset Sum solution in Rust.
    Focus on Rust data structures and iteration.
    You got /5 concepts.

      Practice

      (1/5)
      1. What does the Partition Equal Subset Sum problem ask you to determine about a given list of positive integers?
      easy
      A. If the list is sorted in ascending order
      B. If the list can be split into two subsets with equal sums
      C. If the list contains any duplicate numbers
      D. If the list contains only even numbers

      Solution

      1. Step 1: Understand the problem statement

        The problem asks whether the input list can be divided into two parts where the sum of numbers in each part is the same.
      2. Step 2: Identify the key condition

        Equal sum subsets mean the total sum of the list must be even and the subsets must each sum to half of the total.
      3. Final Answer:

        If the list can be split into two subsets with equal sums -> Option B
      4. Quick Check:

        Partition Equal Subset Sum = split into equal sums [OK]
      Hint: Check if total sum is even first to decide quickly [OK]
      Common Mistakes:
      • Thinking the problem is about sorting
      • Checking for duplicates instead of sums
      • Assuming subsets must be contiguous
      2. Which Rust syntax correctly declares a vector of integers named nums with values 1, 5, 11, 5?
      easy
      A. let nums = {1, 5, 11, 5};
      B. let nums = [1, 5, 11, 5];
      C. let nums = (1, 5, 11, 5);
      D. let nums = vec![1, 5, 11, 5];

      Solution

      1. Step 1: Identify Rust vector syntax

        Vectors in Rust are declared using vec![...] macro with square brackets and exclamation mark.
      2. Step 2: Compare options

        let nums = vec![1, 5, 11, 5]; uses vec![1, 5, 11, 5] which is correct. Others use array, tuple, or invalid syntax.
      3. Final Answer:

        let nums = vec![1, 5, 11, 5]; -> Option D
      4. Quick Check:

        Vector declaration uses vec![...] [OK]
      Hint: Use vec! macro for vectors, arrays use brackets only [OK]
      Common Mistakes:
      • Using parentheses for vectors
      • Using curly braces which are invalid
      • Confusing arrays and vectors syntax
      3. What is the output of this Rust function call?
      fn can_partition(nums: Vec<i32>) -> bool {
          let total: i32 = nums.iter().sum();
          if total % 2 != 0 { return false; }
          let target = total / 2;
          let mut dp = vec![false; (target + 1) as usize];
          dp[0] = true;
          for num in nums {
              for j in (num..=target).rev() {
                  dp[j as usize] = dp[j as usize] || dp[(j - num) as usize];
              }
          }
          dp[target as usize]
      }
      
      println!("{}", can_partition(vec![1, 5, 11, 5]));
      medium
      A. true
      B. false
      C. Compilation error
      D. Runtime panic

      Solution

      1. Step 1: Calculate total sum and check parity

        The sum is 1+5+11+5 = 22, which is even, so continue.
      2. Step 2: Use dynamic programming to check subset sum

        The code uses a boolean dp array to track sums achievable. It finds that 11 can be formed by subset {11} or {5,5,1} sums to 11, so dp[11] becomes true.
      3. Final Answer:

        true -> Option A
      4. Quick Check:

        Sum is even and subset sum found = true [OK]
      Hint: Check if half sum subset exists using dp array [OK]
      Common Mistakes:
      • Ignoring sum parity check
      • Not iterating dp array in reverse
      • Confusing indices in dp updates
      4. Identify the bug in this Rust code snippet for Partition Equal Subset Sum:
      fn can_partition(nums: Vec<i32>) -> bool {
          let total: i32 = nums.iter().sum();
          if total % 2 != 0 { return false; }
          let target = total / 2;
          let mut dp = vec![false; target as usize];
          dp[0] = true;
          for num in nums {
              for j in (num..=target).rev() {
                  dp[j as usize] = dp[j as usize] || dp[(j - num) as usize];
              }
          }
          dp[target as usize]
      }
      medium
      A. dp[0] should be false initially
      B. Loop should iterate forward, not backward
      C. dp vector size is incorrect, should be target+1
      D. Sum parity check is missing

      Solution

      1. Step 1: Check dp vector size

        The dp vector size is set to target as usize, but indices go up to target inclusive, so size must be target + 1.
      2. Step 2: Consequence of wrong size

        Accessing dp[target as usize] will cause out-of-bounds panic or incorrect behavior.
      3. Final Answer:

        dp vector size is incorrect, should be target+1 -> Option C
      4. Quick Check:

        dp size must cover 0 to target inclusive [OK]
      Hint: dp size must be target+1 to include zero index [OK]
      Common Mistakes:
      • Using dp size equal to target only
      • Iterating dp forward causing overwrite
      • Forgetting to check sum parity
      5. Given the list vec![2, 2, 3, 5], which subset partition is valid to solve the Partition Equal Subset Sum problem?
      hard
      A. No valid partition exists
      B. Subsets: [2, 2, 3] and [5]
      C. Subsets: [2, 2] and [3, 5]
      D. Subsets: [2, 3] and [2, 5]

      Solution

      1. Step 1: Calculate total sum and target

        Sum = 2+2+3+5 = 12, target = 6.
      2. Step 2: Check subsets summing to 6

        Subset [2, 2] sums to 4, [3, 5] sums to 8 (too big). But [2, 2, 3] = 7 (too big), [2, 3] = 5 (too small), [2, 5] = 7 (too big). Only [2, 2] and [3, 5] sums are 4 and 8, no equal partition.
      3. Step 3: Re-examine carefully

        Actually, [2, 2, 3] = 7, [5] = 5 no; [2, 3] = 5, [2, 5] = 7 no; but [2, 2] = 4, [3, 5] = 8 no. No equal sum subsets.
      4. Final Answer:

        No valid partition exists -> Option A
      5. Quick Check:

        Total sum 12, no two subsets sum to 6 [OK]
      Hint: Sum halves must be equal; check subset sums carefully [OK]
      Common Mistakes:
      • Assuming any two subsets are valid
      • Not verifying sums equal half total
      • Ignoring subset sum calculations
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