Approach
Sorting and greedy selection
For ABC208 C — Fair Candy Distribution, the implementation first exposes a useful order, then scans that order while making locally justified choices.
- Choose the key that reveals the greedy or grouping structure.
- Sort the relevant records by that key.
- Scan in order, maintaining the invariant that makes each local choice safe.
Code notes
- 39 lines of Python from the credited upstream file abc208_c.py.
- The implementation visibly relies on sequence storage, hash lookup, ordered lookup.
- No explicit loop blocks detected.
Complexity
Sorting is typically the dominant term unless the subsequent scan uses a more expensive nested operation.
Check the problem constraints before deciding whether this complexity will pass.
Use this to learn the idea, then write your own version.
12 3 4def compress_coordinate(elements: list) -> dict:5 ''' Means that reduce the numerical value while maintaining the magnitude6 relationship.7 Args:8 elements: list of integer numbers (greater than -1).9 Returns:10 A dictionary's items ((original number, compressed number) pairs).11 Landau notation: O(n log n)12 '''13 14 15 16 compressed_list = sorted(set(elements))17 return {element: index for index, element in enumerate(compressed_list)}18 19 20def main():21 import sys22 23 input = sys.stdin.readline24 25 n, k = map(int, input().split())26 a = list(map(int, input().split()))27 p, q = divmod(k, n)28 c = compress_coordinate(a)29 30 for ai in a:31 if c[ai] < q:32 print(p + 1)33 else:34 print(p)35 36 37if __name__ == "__main__":38 main()39