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matrix_reshape.py
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matrix_reshape.py
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from typing import List
class Solution:
"""
Task:
In MATLAB, there is a handy function called reshape which can reshape an m x n matrix
into a new one with a different size r x c keeping its original data.
You are given an m x n matrix mat and two integers r and c representing the number of rows
and the number of columns of the wanted reshaped matrix.
The reshaped matrix should be filled with all the elements of the original matrix
in the same row-traversing order as they were.
If the reshape operation with given parameters is possible and legal,
output the new reshaped matrix; Otherwise, output the original matrix.
"""
# Using slicing
def matrixReshape(self, mat: List[List[int]], r: int, c: int) -> List[List[int]]:
flatten, new_mat = [], []
for row in mat:
flatten.extend(row)
if r*c != len(flatten):
return mat
else:
for row_index in range(r):
new_mat.append(flatten[row_index * c : row_index * c + c])
return new_mat
# using assigning
def matrixReshape(self, mat: List[List[int]], r: int, c: int) -> List[List[int]]:
m = len(mat)
n = len(mat[0])
if m*n != r*c:
return mat
res = [[0 for _ in range(c)] for _ in range(r)]
for i in range(m*n):
row, col = int(i/n), int(i%n)
new_row, new_col = int(i/c), int(i%c)
res[new_row][new_col] = mat[row][col]
return res