#1876

Substrings of Size Three with Distinct Characters

Easy
Hash TableStringSliding WindowCountingSliding WindowHash Map
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Approaches

Brute ForceOptimal
Complexity Comparison
Brute ForceOptimal Solution
Time
O(n²)
O(n)
Space
O(1)
O(1)
💡

Intuition

Time O(n)Space O(1)

Using a sliding window approach allows us to efficiently check each substring of length three without needing to extract and check each substring separately. This reduces the time complexity significantly.

⚙️

Algorithm

5 steps
  1. 1Step 1: Initialize a counter to zero and a set to track distinct characters.
  2. 2Step 2: Loop through the string while maintaining a sliding window of size 3.
  3. 3Step 3: For each new character added to the window, check if it is distinct from the previous two characters.
  4. 4Step 4: If the window has three distinct characters, increment the counter.
  5. 5Step 5: Move the window one character to the right and repeat until the end of the string.
solution.py6 lines
1def countGoodSubstrings(s):
2    count = 0
3    for i in range(len(s) - 2):
4        if len(set(s[i:i+3])) == 3:
5            count += 1
6    return count

Complexity note: The time complexity is O(n) since we only make a single pass through the string. The space complexity is O(1) as we are not using additional data structures that grow with input size.

  • 1A substring is only good if all characters are distinct.
  • 2Using a set can help quickly determine if characters are distinct.

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