#2437

Number of Valid Clock Times

Easy
StringEnumerationEnumerationString Manipulation
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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)

The optimal solution directly counts valid combinations based on the positions of '?' in the time string without generating all possible times. This reduces unnecessary computations and speeds up the process significantly.

⚙️

Algorithm

6 steps
  1. 1Step 1: Initialize a count variable to 1.
  2. 2Step 2: Check the first character (hour's tens place): If it's '?', multiply count by 3 if it's the first digit (0-2), otherwise by 2 (0-1).
  3. 3Step 3: Check the second character (hour's units place): If it's '?', adjust the count based on the first character's value (0-3).
  4. 4Step 4: Check the third character (minute's tens place): If it's '?', multiply count by 6 (0-5).
  5. 5Step 5: Check the fourth character (minute's units place): If it's '?', multiply count by 10 (0-9).
  6. 6Step 6: Return the final count.
solution.py14 lines
1# Full working Python code
2
3def count_valid_times(time):
4    count = 1
5    if time[0] == '?':
6        count *= 3 if time[1] in '012' else 2
7    if time[1] == '?':
8        count *= 10 if time[0] != '2' else 4
9    if time[3] == '?':
10        count *= 6
11    if time[4] == '?':
12        count *= 10
13    return count
14

Complexity note: The time complexity is O(n) because we only make a constant number of checks (4) regardless of the number of '?' characters.

  • 1Understanding the constraints of valid clock times is crucial for determining valid replacements.
  • 2Directly counting valid combinations based on the positions of '?' can significantly reduce computation time.

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