#3206

Alternating Groups I

Easy
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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)

Instead of checking every group of three tiles, we can use a single pass to identify groups of alternating tiles by leveraging the circular nature of the array. This reduces the number of checks significantly.

⚙️

Algorithm

4 steps
  1. 1Step 1: Initialize a count variable to 0.
  2. 2Step 2: Loop through the colors array, treating it as circular by using modulo operations.
  3. 3Step 3: For each tile, check if it forms an alternating group with its previous and next tiles.
  4. 4Step 4: Increment the count for each valid alternating group found.
solution.py7 lines
1def countAlternatingGroups(colors):
2    n = len(colors)
3    count = 0
4    for i in range(n):
5        if colors[i] != colors[(i - 1) % n] and colors[i] != colors[(i + 1) % n]:
6            count += 1
7    return count

Complexity note: The time complexity is O(n) because we only make a single pass through the array, checking each tile once. The space complexity is O(1) since we are using a constant amount of extra space.

  • 1The circular nature of the array means we need to handle the first and last elements as adjacent.
  • 2An alternating group is defined by the middle tile differing from its neighbors.

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