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* Update matrix_operation.py * Update mypy.ini * Update DIRECTORY.md * formatting * Update matrix_operation.py * doctest for exception * A bit more...
200 lines
5.8 KiB
Python
200 lines
5.8 KiB
Python
"""
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Functions for 2D matrix operations
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"""
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from __future__ import annotations
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def add(*matrix_s: list[list]) -> list[list]:
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"""
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>>> add([[1,2],[3,4]],[[2,3],[4,5]])
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[[3, 5], [7, 9]]
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>>> add([[1.2,2.4],[3,4]],[[2,3],[4,5]])
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[[3.2, 5.4], [7, 9]]
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>>> add([[1, 2], [4, 5]], [[3, 7], [3, 4]], [[3, 5], [5, 7]])
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[[7, 14], [12, 16]]
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>>> add([3], [4, 5])
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Traceback (most recent call last):
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...
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TypeError: Expected a matrix, got int/list instead
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"""
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if all(_check_not_integer(m) for m in matrix_s):
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for i in matrix_s[1:]:
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_verify_matrix_sizes(matrix_s[0], i)
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return [[sum(t) for t in zip(*m)] for m in zip(*matrix_s)]
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raise TypeError("Expected a matrix, got int/list instead")
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def subtract(matrix_a: list[list], matrix_b: list[list]) -> list[list]:
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"""
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>>> subtract([[1,2],[3,4]],[[2,3],[4,5]])
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[[-1, -1], [-1, -1]]
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>>> subtract([[1,2.5],[3,4]],[[2,3],[4,5.5]])
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[[-1, -0.5], [-1, -1.5]]
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>>> subtract([3], [4, 5])
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Traceback (most recent call last):
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...
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TypeError: Expected a matrix, got int/list instead
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"""
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if (
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_check_not_integer(matrix_a)
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and _check_not_integer(matrix_b)
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and _verify_matrix_sizes(matrix_a, matrix_b)
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):
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return [[i - j for i, j in zip(*m)] for m in zip(matrix_a, matrix_b)]
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raise TypeError("Expected a matrix, got int/list instead")
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def scalar_multiply(matrix: list[list], n: int | float) -> list[list]:
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"""
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>>> scalar_multiply([[1,2],[3,4]],5)
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[[5, 10], [15, 20]]
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>>> scalar_multiply([[1.4,2.3],[3,4]],5)
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[[7.0, 11.5], [15, 20]]
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"""
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return [[x * n for x in row] for row in matrix]
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def multiply(matrix_a: list[list], matrix_b: list[list]) -> list[list]:
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"""
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>>> multiply([[1,2],[3,4]],[[5,5],[7,5]])
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[[19, 15], [43, 35]]
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>>> multiply([[1,2.5],[3,4.5]],[[5,5],[7,5]])
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[[22.5, 17.5], [46.5, 37.5]]
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>>> multiply([[1, 2, 3]], [[2], [3], [4]])
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[[20]]
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"""
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if _check_not_integer(matrix_a) and _check_not_integer(matrix_b):
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rows, cols = _verify_matrix_sizes(matrix_a, matrix_b)
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if cols[0] != rows[1]:
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raise ValueError(
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f"Cannot multiply matrix of dimensions ({rows[0]},{cols[0]}) "
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f"and ({rows[1]},{cols[1]})"
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)
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return [
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[sum(m * n for m, n in zip(i, j)) for j in zip(*matrix_b)] for i in matrix_a
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]
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def identity(n: int) -> list[list]:
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"""
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:param n: dimension for nxn matrix
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:type n: int
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:return: Identity matrix of shape [n, n]
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>>> identity(3)
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[[1, 0, 0], [0, 1, 0], [0, 0, 1]]
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"""
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n = int(n)
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return [[int(row == column) for column in range(n)] for row in range(n)]
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def transpose(matrix: list[list], return_map: bool = True) -> list[list] | map[list]:
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"""
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>>> transpose([[1,2],[3,4]]) # doctest: +ELLIPSIS
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<map object at ...
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>>> transpose([[1,2],[3,4]], return_map=False)
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[[1, 3], [2, 4]]
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>>> transpose([1, [2, 3]])
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Traceback (most recent call last):
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...
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TypeError: Expected a matrix, got int/list instead
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"""
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if _check_not_integer(matrix):
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if return_map:
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return map(list, zip(*matrix))
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else:
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return list(map(list, zip(*matrix)))
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raise TypeError("Expected a matrix, got int/list instead")
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def minor(matrix: list[list], row: int, column: int) -> list[list]:
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"""
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>>> minor([[1, 2], [3, 4]], 1, 1)
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[[1]]
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"""
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minor = matrix[:row] + matrix[row + 1 :]
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return [row[:column] + row[column + 1 :] for row in minor]
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def determinant(matrix: list[list]) -> int:
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"""
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>>> determinant([[1, 2], [3, 4]])
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-2
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>>> determinant([[1.5, 2.5], [3, 4]])
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-1.5
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"""
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if len(matrix) == 1:
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return matrix[0][0]
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return sum(
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x * determinant(minor(matrix, 0, i)) * (-1) ** i
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for i, x in enumerate(matrix[0])
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)
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def inverse(matrix: list[list]) -> list[list] | None:
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"""
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>>> inverse([[1, 2], [3, 4]])
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[[-2.0, 1.0], [1.5, -0.5]]
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>>> inverse([[1, 1], [1, 1]])
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"""
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# https://stackoverflow.com/questions/20047519/python-doctests-test-for-none
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det = determinant(matrix)
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if det == 0:
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return None
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matrix_minor = [
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[determinant(minor(matrix, i, j)) for j in range(len(matrix))]
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for i in range(len(matrix))
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]
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cofactors = [
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[x * (-1) ** (row + col) for col, x in enumerate(matrix_minor[row])]
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for row in range(len(matrix))
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]
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adjugate = list(transpose(cofactors))
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return scalar_multiply(adjugate, 1 / det)
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def _check_not_integer(matrix: list[list]) -> bool:
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return not isinstance(matrix, int) and not isinstance(matrix[0], int)
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def _shape(matrix: list[list]) -> tuple[int, int]:
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return len(matrix), len(matrix[0])
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def _verify_matrix_sizes(
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matrix_a: list[list], matrix_b: list[list]
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) -> tuple[tuple, tuple]:
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shape = _shape(matrix_a) + _shape(matrix_b)
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if shape[0] != shape[3] or shape[1] != shape[2]:
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raise ValueError(
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f"operands could not be broadcast together with shape "
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f"({shape[0], shape[1]}), ({shape[2], shape[3]})"
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)
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return (shape[0], shape[2]), (shape[1], shape[3])
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def main():
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matrix_a = [[12, 10], [3, 9]]
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matrix_b = [[3, 4], [7, 4]]
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matrix_c = [[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34], [41, 42, 43, 44]]
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matrix_d = [[3, 0, 2], [2, 0, -2], [0, 1, 1]]
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print(f"Add Operation, {add(matrix_a, matrix_b) = } \n")
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print(
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f"Multiply Operation, {multiply(matrix_a, matrix_b) = } \n",
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)
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print(f"Identity: {identity(5)}\n")
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print(f"Minor of {matrix_c} = {minor(matrix_c, 1, 2)} \n")
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print(f"Determinant of {matrix_b} = {determinant(matrix_b)} \n")
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print(f"Inverse of {matrix_d} = {inverse(matrix_d)}\n")
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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main()
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