#3206
Alternating Groups I
EasyArraySliding WindowSliding WindowArray
Approaches
Brute ForceOptimal
Complexity Comparison
| Brute Force | Optimal Solution★ | |
|---|---|---|
| Time | O(n²) | O(n) |
| Space | O(1) | O(1) |
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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.
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Algorithm
4 steps- 1Step 1: Initialize a count variable to 0.
- 2Step 2: Loop through the colors array, treating it as circular by using modulo operations.
- 3Step 3: For each tile, check if it forms an alternating group with its previous and next tiles.
- 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 countℹ
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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