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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 1,108 @@ | ||
| from copy import deepcopy | ||
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| def mask(matrix): | ||
| # in the unmasked matrix, -2 means 0, -1 means 1 | ||
| maskingscores = [] | ||
| matrixes = [] | ||
| size = len(matrix) | ||
| matrixes.append(domask(matrix, '(((i j) % 2) == 0)')) | ||
| matrixes.append(domask(matrix, '((i % 2) == 0)')) | ||
| matrixes.append(domask(matrix, '((j % 3) == 0)')) | ||
| matrixes.append(domask(matrix, '(((i j) % 3) == 0)')) | ||
| matrixes.append(domask(matrix, '(((int(i / 2) int(j / 3)) % 2) == 0)')) | ||
| matrixes.append(domask(matrix, '((((i * j) % 2) ((i * j) % 3)) == 0)')) | ||
| matrixes.append(domask(matrix, '(((((i * j) % 2) ((i * j) % 3)) % 2) == 0)')) | ||
| matrixes.append(domask(matrix, '(((((i * j) % 3) ((i j) % 2)) % 2) == 0)')) | ||
| scores = [scoremasking(matrix) for matrix in matrixes] | ||
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| def domask(matrix, condition): | ||
| nmatrix = deepcopy(matrix) | ||
| for i in range(len(nmatrix)): | ||
| for j in range(len(nmatrix)): | ||
| if nmatrix[i][j] == -2 and eval(condition): | ||
| nmatrix[i][j] = 1 | ||
| elif nmatrix[i][j] == -1 and not eval(condition): | ||
| nmatrix[i][j] = 1 | ||
| elif nmatrix[i][j] < 0: | ||
| nmatrix[i][j] = 0 | ||
| return nmatrix | ||
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| def scoremasking(matrix): | ||
| # feature 1 | ||
| def scorefeature1(matrix): | ||
| score = 0 | ||
| for i in range(len(matrix)): | ||
| string = ''.join(matrix[i]) | ||
| ones = [i for i in string.split('0') if len(i) > 5] | ||
| zeros = [i for i in string.split('1') if len(i) > 5] | ||
| for one in ones: | ||
| score = len(one) - 2 | ||
| for zero in zeros: | ||
| score = len(zero) - 2 | ||
| return score | ||
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| def scorefeature2(matrix): | ||
| score = 0 | ||
| for i in range(len(matrix)): | ||
| for j in range(len(matrix)): | ||
| m = n = 1 | ||
| color = matrix[i, j] | ||
| while True: | ||
| if i = len(matrix) - 1: | ||
| break | ||
| for y in range(n): | ||
| if matrix[i 1][j y] != color: | ||
| break | ||
| m = 1 | ||
| i = 1 | ||
| while True: | ||
| if j = len(matrix) -1: | ||
| break | ||
| for x in range(m): | ||
| if matrix[i - x][j 1] != color: | ||
| break | ||
| n = 1 | ||
| j = 1 | ||
| score = 3 * (m - 1) * (n - 1) | ||
| return score | ||
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| def scorefeature3(matrix): | ||
| score = 0 | ||
| for i in range(len(matrix)): | ||
| string = ''.join(matrix[i]) | ||
| if '1011101' in string: | ||
| score = 40 | ||
| return score | ||
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| def scorefeature4(matrix): | ||
| for i in range(len(matrix)): | ||
| for j in range(len(matrix)): | ||
| if matrix[i][j] == 1: | ||
| dark = 1 | ||
| proportion = dark / (len(matrix) ** 2) | ||
| deviation = proportion - 0.5 | ||
| de = int(deviation * 100) | ||
| k = int(de / 5) | ||
| score = 10 * k | ||
| return score | ||
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| def scoremasking(matrix): | ||
| score = 0 | ||
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| # feature 1 | ||
| rotmatrix = [[matrix[i][j] for i in range(len(matrix))] for j in range(len(matrix))] | ||
| score = scorefeature1(matrix) | ||
| score = scorefeature1(rotmatrix) | ||
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| # feature 2 | ||
| score = scorefeature2(matrix) | ||
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| # feature 3 | ||
| score = scorefeature3(matrix) | ||
| score = scorefeature3(rotmatrix) | ||
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| # feature 4 | ||
| score = scorefeature4(matrix) | ||
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| return score |