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Correct ruff failures (#8732)
* fix: Correct ruff problems * updating DIRECTORY.md * fix: Fix pre-commit errors * updating DIRECTORY.md --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
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divide_and_conquer/strassen_matrix_multiplication.py.BROKEN
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divide_and_conquer/strassen_matrix_multiplication.py.BROKEN
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from __future__ import annotations
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import math
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def default_matrix_multiplication(a: list, b: list) -> list:
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"""
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Multiplication only for 2x2 matrices
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"""
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if len(a) != 2 or len(a[0]) != 2 or len(b) != 2 or len(b[0]) != 2:
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raise Exception("Matrices are not 2x2")
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new_matrix = [
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[a[0][0] * b[0][0] + a[0][1] * b[1][0], a[0][0] * b[0][1] + a[0][1] * b[1][1]],
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[a[1][0] * b[0][0] + a[1][1] * b[1][0], a[1][0] * b[0][1] + a[1][1] * b[1][1]],
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]
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return new_matrix
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def matrix_addition(matrix_a: list, matrix_b: list):
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return [
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[matrix_a[row][col] + matrix_b[row][col] for col in range(len(matrix_a[row]))]
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for row in range(len(matrix_a))
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]
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def matrix_subtraction(matrix_a: list, matrix_b: list):
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return [
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[matrix_a[row][col] - matrix_b[row][col] for col in range(len(matrix_a[row]))]
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for row in range(len(matrix_a))
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]
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def split_matrix(a: list) -> tuple[list, list, list, list]:
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"""
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Given an even length matrix, returns the top_left, top_right, bot_left, bot_right
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quadrant.
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>>> split_matrix([[4,3,2,4],[2,3,1,1],[6,5,4,3],[8,4,1,6]])
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([[4, 3], [2, 3]], [[2, 4], [1, 1]], [[6, 5], [8, 4]], [[4, 3], [1, 6]])
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>>> split_matrix([
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... [4,3,2,4,4,3,2,4],[2,3,1,1,2,3,1,1],[6,5,4,3,6,5,4,3],[8,4,1,6,8,4,1,6],
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... [4,3,2,4,4,3,2,4],[2,3,1,1,2,3,1,1],[6,5,4,3,6,5,4,3],[8,4,1,6,8,4,1,6]
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... ]) # doctest: +NORMALIZE_WHITESPACE
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([[4, 3, 2, 4], [2, 3, 1, 1], [6, 5, 4, 3], [8, 4, 1, 6]], [[4, 3, 2, 4],
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[2, 3, 1, 1], [6, 5, 4, 3], [8, 4, 1, 6]], [[4, 3, 2, 4], [2, 3, 1, 1],
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[6, 5, 4, 3], [8, 4, 1, 6]], [[4, 3, 2, 4], [2, 3, 1, 1], [6, 5, 4, 3],
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[8, 4, 1, 6]])
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"""
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if len(a) % 2 != 0 or len(a[0]) % 2 != 0:
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raise Exception("Odd matrices are not supported!")
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matrix_length = len(a)
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mid = matrix_length // 2
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top_right = [[a[i][j] for j in range(mid, matrix_length)] for i in range(mid)]
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bot_right = [
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[a[i][j] for j in range(mid, matrix_length)] for i in range(mid, matrix_length)
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]
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top_left = [[a[i][j] for j in range(mid)] for i in range(mid)]
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bot_left = [[a[i][j] for j in range(mid)] for i in range(mid, matrix_length)]
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return top_left, top_right, bot_left, bot_right
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def matrix_dimensions(matrix: list) -> tuple[int, int]:
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return len(matrix), len(matrix[0])
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def print_matrix(matrix: list) -> None:
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print("\n".join(str(line) for line in matrix))
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def actual_strassen(matrix_a: list, matrix_b: list) -> list:
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"""
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Recursive function to calculate the product of two matrices, using the Strassen
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Algorithm. It only supports even length matrices.
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"""
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if matrix_dimensions(matrix_a) == (2, 2):
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return default_matrix_multiplication(matrix_a, matrix_b)
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a, b, c, d = split_matrix(matrix_a)
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e, f, g, h = split_matrix(matrix_b)
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t1 = actual_strassen(a, matrix_subtraction(f, h))
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t2 = actual_strassen(matrix_addition(a, b), h)
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t3 = actual_strassen(matrix_addition(c, d), e)
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t4 = actual_strassen(d, matrix_subtraction(g, e))
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t5 = actual_strassen(matrix_addition(a, d), matrix_addition(e, h))
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t6 = actual_strassen(matrix_subtraction(b, d), matrix_addition(g, h))
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t7 = actual_strassen(matrix_subtraction(a, c), matrix_addition(e, f))
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top_left = matrix_addition(matrix_subtraction(matrix_addition(t5, t4), t2), t6)
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top_right = matrix_addition(t1, t2)
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bot_left = matrix_addition(t3, t4)
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bot_right = matrix_subtraction(matrix_subtraction(matrix_addition(t1, t5), t3), t7)
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# construct the new matrix from our 4 quadrants
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new_matrix = []
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for i in range(len(top_right)):
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new_matrix.append(top_left[i] + top_right[i])
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for i in range(len(bot_right)):
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new_matrix.append(bot_left[i] + bot_right[i])
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return new_matrix
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def strassen(matrix1: list, matrix2: list) -> list:
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"""
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>>> strassen([[2,1,3],[3,4,6],[1,4,2],[7,6,7]], [[4,2,3,4],[2,1,1,1],[8,6,4,2]])
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[[34, 23, 19, 15], [68, 46, 37, 28], [28, 18, 15, 12], [96, 62, 55, 48]]
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>>> strassen([[3,7,5,6,9],[1,5,3,7,8],[1,4,4,5,7]], [[2,4],[5,2],[1,7],[5,5],[7,8]])
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[[139, 163], [121, 134], [100, 121]]
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"""
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if matrix_dimensions(matrix1)[1] != matrix_dimensions(matrix2)[0]:
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raise Exception(
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"Unable to multiply these matrices, please check the dimensions. \n"
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f"Matrix A:{matrix1} \nMatrix B:{matrix2}"
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)
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dimension1 = matrix_dimensions(matrix1)
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dimension2 = matrix_dimensions(matrix2)
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if dimension1[0] == dimension1[1] and dimension2[0] == dimension2[1]:
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return [matrix1, matrix2]
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maximum = max(dimension1, dimension2)
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maxim = int(math.pow(2, math.ceil(math.log2(maximum))))
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new_matrix1 = matrix1
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new_matrix2 = matrix2
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# Adding zeros to the matrices so that the arrays dimensions are the same and also
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# power of 2
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for i in range(0, maxim):
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if i < dimension1[0]:
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for _ in range(dimension1[1], maxim):
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new_matrix1[i].append(0)
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else:
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new_matrix1.append([0] * maxim)
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if i < dimension2[0]:
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for _ in range(dimension2[1], maxim):
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new_matrix2[i].append(0)
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else:
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new_matrix2.append([0] * maxim)
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final_matrix = actual_strassen(new_matrix1, new_matrix2)
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# Removing the additional zeros
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for i in range(0, maxim):
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if i < dimension1[0]:
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for _ in range(dimension2[1], maxim):
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final_matrix[i].pop()
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else:
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final_matrix.pop()
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return final_matrix
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if __name__ == "__main__":
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matrix1 = [
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[2, 3, 4, 5],
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[6, 4, 3, 1],
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[2, 3, 6, 7],
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[3, 1, 2, 4],
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[2, 3, 4, 5],
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[6, 4, 3, 1],
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[2, 3, 6, 7],
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[3, 1, 2, 4],
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[2, 3, 4, 5],
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[6, 2, 3, 1],
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]
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matrix2 = [[0, 2, 1, 1], [16, 2, 3, 3], [2, 2, 7, 7], [13, 11, 22, 4]]
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print(strassen(matrix1, matrix2))
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