#2350
Shortest Impossible Sequence of Rolls
HardArrayHash TableGreedyHash MapArray
Approaches
Brute ForceOptimal
Complexity Comparison
| Brute Force | Optimal Solution★ | |
|---|---|---|
| Time | O(n²) | O(n) |
| Space | O(1) | O(n) |
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Intuition
Time O(n)Space O(n)
The optimal approach uses a greedy method to determine the shortest impossible sequence by checking the maximum number of unique rolls that can be formed at each length. This is efficient because it avoids generating all combinations.
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Algorithm
3 steps- 1Step 1: Create a frequency map to count occurrences of each number in rolls.
- 2Step 2: For each length starting from 1, check if we can form all sequences of that length using the frequency map.
- 3Step 3: If we cannot form a sequence, return the current length.
solution.py11 lines
1def shortest_impossible_sequence(rolls, k):
2 from collections import Counter
3 freq = Counter(rolls)
4 length = 1
5 while True:
6 if length > len(freq):
7 return length
8 length += 1
9
10# Example usage
11print(shortest_impossible_sequence([4,2,1,2,3,3,2,4,1], 4))ℹ
Complexity note: This complexity is linear because we only traverse the rolls array once to create the frequency map and then check the lengths, which is efficient.
- 1Understanding how to efficiently check for subsequences is crucial.
- 2Using frequency maps can significantly reduce the complexity of checking combinations.
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