Problem C. Compression research

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.

Input file format

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 format

Output file must contain N − M + 1 integers — maximum substring frequencies for each compression window.


1 ≤ M ≤ N ≤ 2 × 105, 1 ≤ L ≤ 100

Sample tests

No. Input file (input.txt) Output file (output.txt)
2 10

1 3
3 2 2 3 3 

0.037s 0.008s 15