Behind the scenes in the computer’s memory, color is always talked about as a series of 24 bits of information for each pixel. In an image, the color with the largest proportional area is called the dominant color. A strictly dominant color takes more than half of the total area. Now given an image of resolution M by N (for example, 800×600), you are supposed to point out the strictly dominant color.
Input Specification:
Each input file contains one test case. For each case, the first line contains 2 positive numbers: M (≤800) and N (≤600) which are the resolutions of the image. Then N lines follow, each contains M digital colors in the range [0,224). It is guaranteed that the strictly dominant color exists for each input image. All the numbers in a line are separated by a space.
Output Specification:
For each test case, simply print the dominant color in a line.
M, N = list(map(int, input().split())) half = M * N // 2 _dict = defaultdict(int) for _ in range(N): for i in input().split(): _dict[i] += 1 if _dict[i] > half: print(i) break
Python3 counter
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from collections import Counter
M, N = list(map(int, input().split())) ans = Counter() for _ in range(N): ans.update(input().split()) print(ans.most_common(1)[0][0])