有没有一种有效的方法来形成带有numpy或scipy的块矩阵？

import numpy as np

# 定义子矩阵
A = np.array([[1, 2], [3, 4]])
B = np.array([[5, 6], [7, 8]])
C = np.array([[9, 10], [11, 12]])
D = np.array([[13, 14], [15, 16]])

# 形成块矩阵
block_matrix = np.block([[A, B], [C, D]])

print(block_matrix)

[[ 1  2  5  6]
 [ 3  4  7  8]
 [ 9 10 13 14]
 [11 12 15 16]]

import numpy as np
from scipy.linalg import block_diag

# 定义矩阵
A = np.array([[1, 2], [3, 4]])
B = np.array([[5, 6], [7, 8]])
C = np.array([[9, 10], [11, 12]])

# 形成块矩阵
block_matrix = block_diag(A, B, C)

print(block_matrix)

[[ 1  2  0  0  0  0]
 [ 3  4  0  0  0  0]
 [ 0  0  5  6  0  0]
 [ 0  0  7  8  0  0]
 [ 0  0  0  0  9 10]
 [ 0  0  0  0 11 12]]