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DSA Typescriptprogramming~10 mins

Longest Common Substring 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 2D array for dynamic programming.

DSA Typescript
const dp: number[][] = Array([1]).fill(0).map(() => Array(m + 1).fill(0));
Drag options to blanks, or click blank then click option'
Am + 1
Bn
Cn + 1
Dm
Attempts:
3 left
💡 Hint
Common Mistakes
Using m+1 instead of n+1 for rows.
Not adding 1 to the length causing index errors.
2fill in blank
medium

Complete the code to update the dp table when characters match.

DSA Typescript
if (s1[i - 1] === s2[j - 1]) {
  dp[i][j] = dp[i - 1][[1]] + 1;
} else {
  dp[i][j] = 0;
}
Drag options to blanks, or click blank then click option'
Aj - 1
Bj
Cj + 1
Dj - 2
Attempts:
3 left
💡 Hint
Common Mistakes
Using dp[i-1][j] or dp[i][j-1] instead of dp[i-1][j-1].
Adding 1 to the wrong index.
3fill in blank
hard

Fix the error in updating the maximum length of the longest common substring.

DSA Typescript
if (dp[i][j] > [1]) {
  maxLen = dp[i][j];
  endIndex = i;
}
Drag options to blanks, or click blank then click option'
AendIndex
Bi
Cj
DmaxLen
Attempts:
3 left
💡 Hint
Common Mistakes
Comparing with endIndex instead of maxLen.
Using i or j as comparison variable.
4fill in blank
hard

Fill both blanks to extract the longest common substring from s1.

DSA Typescript
const longestSubstring = s1.slice([1], [2]);
Drag options to blanks, or click blank then click option'
AendIndex - maxLen
BmaxLen
CendIndex
D0
Attempts:
3 left
💡 Hint
Common Mistakes
Using maxLen as start index.
Using 0 as start index instead of calculated start.
5fill in blank
hard

Fill all three blanks to complete the nested loops for dp table computation.

DSA Typescript
for (let i = 1; i <= [1]; i++) {
  for (let j = 1; j <= [2]; j++) {
    if (s1[i - 1] === s2[j - 1]) {
      dp[i][j] = dp[i - 1][j - 1] + [3];
    } else {
      dp[i][j] = 0;
    }
  }
}
Drag options to blanks, or click blank then click option'
An
Bm
C1
D0
Attempts:
3 left
💡 Hint
Common Mistakes
Using 0 as increment instead of 1.
Swapping n and m in loops.

Practice

(1/5)
1. What does the Longest Common Substring problem find between two strings s1 and s2?
easy
A. The longest sequence of characters that appear in order but not necessarily contiguously
B. The total number of common characters between the two strings
C. The longest sequence of characters that appear contiguously in both strings
D. The shortest substring that contains all characters from both strings

Solution

  1. Step 1: Understand substring vs subsequence

    A substring is a continuous part of a string, while a subsequence can skip characters.
  2. Step 2: Define Longest Common Substring

    It finds the longest continuous sequence of characters present in both strings.
  3. Final Answer:

    The longest sequence of characters that appear contiguously in both strings -> Option C
  4. Quick Check:

    Longest Common Substring = continuous match [OK]
Hint: Look for continuous matching characters, not scattered ones [OK]
Common Mistakes:
  • Confusing substring with subsequence
  • Thinking order doesn't matter
  • Counting total common characters instead
2. Which of the following TypeScript function signatures correctly represents a function to find the longest common substring length between two strings s1 and s2?
easy
A. function longestCommonSubstring(s1: string, s2: string): number
B. function longestCommonSubstring(s1: number[], s2: number[]): string
C. function longestCommonSubstring(s1: string, s2: string): string[]
D. function longestCommonSubstring(s1: string, s2: string): void

Solution

  1. Step 1: Identify input types

    The inputs are two strings, so parameters should be string.
  2. Step 2: Identify output type

    The function returns the length of the longest common substring, which is a number.
  3. Final Answer:

    function longestCommonSubstring(s1: string, s2: string): number -> Option A
  4. Quick Check:

    Input strings, output number length [OK]
Hint: Match input/output types to problem description [OK]
Common Mistakes:
  • Using arrays instead of strings as input
  • Returning string or array instead of number
  • Using void return type mistakenly
3. What is the output of the following TypeScript code?
function longestCommonSubstring(s1: string, s2: string): number {
  const m = s1.length, n = s2.length;
  let maxLen = 0;
  const dp: number[][] = Array(m + 1).fill(0).map(() => Array(n + 1).fill(0));
  for (let i = 1; i <= m; i++) {
    for (let j = 1; j <= n; j++) {
      if (s1[i - 1] === s2[j - 1]) {
        dp[i][j] = dp[i - 1][j - 1] + 1;
        maxLen = Math.max(maxLen, dp[i][j]);
      }
    }
  }
  return maxLen;
}

console.log(longestCommonSubstring('abcde', 'abfde'));
medium
A. 2
B. 3
C. 4
D. 1

Solution

  1. Step 1: Compare characters of 'abcde' and 'abfde'

    Matching continuous substrings are 'ab' at start and 'de' at end, both length 2.
  2. Step 2: Find longest continuous match

    Longest common substring length is 2.
  3. Final Answer:

    2 -> Option A
  4. Quick Check:

    Longest common substring length = 2 [OK]
Hint: Check continuous matching parts, not scattered matches [OK]
Common Mistakes:
  • Counting non-continuous matches
  • Confusing longest common subsequence with substring
  • Off-by-one errors in indexing
4. The following TypeScript code attempts to find the longest common substring length but has a bug. What is the bug?
function longestCommonSubstring(s1: string, s2: string): number {
  const m = s1.length, n = s2.length;
  let maxLen = 0;
  const dp: number[][] = Array(m).fill(0).map(() => Array(n).fill(0));
  for (let i = 1; i <= m; i++) {
    for (let j = 1; j <= n; j++) {
      if (s1[i - 1] === s2[j - 1]) {
        dp[i][j] = dp[i - 1][j - 1] + 1;
        maxLen = Math.max(maxLen, dp[i][j]);
      }
    }
  }
  return maxLen;
}
medium
A. Loop indices should start from 0 instead of 1
B. dp array is initialized with wrong size causing index errors
C. maxLen is not updated inside the loop
D. Comparison uses wrong characters from strings

Solution

  1. Step 1: Check dp array initialization

    dp is created with size m x n but accessed with indices up to m and n (1-based), causing out-of-bound errors.
  2. Step 2: Correct dp size

    dp should be (m+1) x (n+1) to safely use 1-based indexing in loops.
  3. Final Answer:

    dp array is initialized with wrong size causing index errors -> Option B
  4. Quick Check:

    dp size must match loop indices [OK]
Hint: Match dp size with loop ranges to avoid index errors [OK]
Common Mistakes:
  • Not adding +1 to dp dimensions
  • Starting loops at 1 but dp size too small
  • Ignoring index out-of-bound runtime errors
5. Given two strings s1 = 'xabxac' and s2 = 'abcabxabcd', what is the length of their longest common substring?
hard
A. 3
B. 5
C. 6
D. 4

Solution

  1. Step 1: Identify common substrings

    Common substrings include 'abx' and 'abxa'. 'abxa' is length 4 and appears in both strings.
  2. Step 2: Confirm longest substring length

    No longer continuous substring than length 4 exists in both strings.
  3. Final Answer:

    4 -> Option D
  4. Quick Check:

    Longest common substring length = 4 [OK]
Hint: Look for longest continuous matching sequence visually [OK]
Common Mistakes:
  • Counting non-continuous matches
  • Choosing shorter common substrings
  • Confusing substring with subsequence
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