| Author: | A. Klenin | Time limit: | 1 sec | |
| Input file: | input.txt | Memory limit: | 256 Mb | |
| Output file: | output.txt |
Many compression algorithms are based on finding frequently repeating substrings in the input data. Since it is often impractical to search the whole input for repetitions, only a limited compression window is considered on each step.
While researching a new compression algorithm, young computer scientist Vasya encountered the following problem.
Given input string of N bits, let the compression window be any substring of M bits. Inside each compression window, find the maximum number of occurrences of any substring of length L (L ≤ M).
In the sample input 1 below, compression window length is equal to string length, so there is only a single window. Most frequent substring of length 2 is 01, which occurs 5 times.
First line of input file contains integers L M. Second line input file contains a string of length N, each character either 0 or 1.
Output file must contain N − M + 1 integers — maximum substring frequencies for each compression window.
1 ≤ M ≤ N ≤ 2 × 105, 1 ≤ L ≤ 100
| No. | Input file (input.txt) |
Output file (output.txt) |
|---|---|---|
| 1 |
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| 2 |
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