Help with Pyhton code:

Eclass Matrix: def. mimitmbselifemdowsuamdolsumelementshme self.rows = rows # Save the number of rows in its member variable self.cols = cols # Save the number of columns in its member variable self.elements = [[elements[cols*i+j] for j in range(cols)] for i in range(rows)] def. maddumbselifiammatBlmi Sum [[[0]*self.cols) for i in range(self.rows)] for i in range(self.rows)m: for j in range(len(matB[0])).: for k in range(len(matb)): Sum[i][j] += self.elements[i][j] * matB[k][j] return Matrix(Sum) def __mult__(self, m): A = self.elements B [[O for i in range(self.cols)] for j in range(self.rows)] for i in range(self.rows): for j in range(2): for k in range(self.cols): B[i][j] += A[i][k] * M[k][j] return B def --scalarMult__(self, c)m: = self.elements B [[O for j in range(self.cols)] for i in range(self.rows)] for i in range(self.rows): for j in range(self.cols): B[i][j] = A[i][j] * C return B def __transpose__(self): [C[O]*self.cols) for i in range(self.rows)] for i in range(self.rows): for j in range(self.cols): MT[j][i] = self[i][j] return MT def __empty__(X, Du: return [[O for i in range(len(Y[0]))] for j in range(len())] def __isZero__(self, empty): A = self.elements empty if A == E: return True else: return false def __is_square__(self): if self.cols == self.rows: return True return false Fifma name, mainan mata = Matrix(3, 2, [1, 2, 3, 4, 5, 6]) print("Created matrix matA", mata) matB = Matrix(3, 2, [10, 20, -3, -4, 1, 2]) print('Created matrix matB', matB) print("Product of mata and mats is", ) Eclass Matrix: def. mimitmbselifemdowsuamdolsumelementshme self.rows = rows # Save the number of rows in its member variable self.cols = cols # Save the number of columns in its member variable self.elements = [[elements[cols*i+j] for j in range(cols)] for i in range(rows)] def. maddumbselifiammatBlmi Sum [[[0]*self.cols) for i in range(self.rows)] for i in range(self.rows)m: for j in range(len(matB[0])).: for k in range(len(matb)): Sum[i][j] += self.elements[i][j] * matB[k][j] return Matrix(Sum) def __mult__(self, m): A = self.elements B [[O for i in range(self.cols)] for j in range(self.rows)] for i in range(self.rows): for j in range(2): for k in range(self.cols): B[i][j] += A[i][k] * M[k][j] return B def --scalarMult__(self, c)m: = self.elements B [[O for j in range(self.cols)] for i in range(self.rows)] for i in range(self.rows): for j in range(self.cols): B[i][j] = A[i][j] * C return B def __transpose__(self): [C[O]*self.cols) for i in range(self.rows)] for i in range(self.rows): for j in range(self.cols): MT[j][i] = self[i][j] return MT def __empty__(X, Du: return [[O for i in range(len(Y[0]))] for j in range(len())] def __isZero__(self, empty): A = self.elements empty if A == E: return True else: return false def __is_square__(self): if self.cols == self.rows: return True return false Fifma name, mainan mata = Matrix(3, 2, [1, 2, 3, 4, 5, 6]) print("Created matrix matA", mata) matB = Matrix(3, 2, [10, 20, -3, -4, 1, 2]) print('Created matrix matB', matB) print("Product of mata and mats is", )