from MPFFuns import circulant, MPF from Utils.generators import generate_anticirculant_rand_word_mat from Utils.words_matrices_utils import pwords max_W = generate_anticirculant_rand_word_mat(3, [20, 20, 20]) X = circulant([20, 20, 20]) Y = circulant([20, 20, 20]) res = MPF(X, max_W, Y) pwords(res)
Wo(0, 8, 1, 0)],
[Wo(0, 18, 8, 0),
Wo(1, 0, 4, 0),
Wo(0, 7, 0, 0),
Wo(0, 19, 28, 0)],
[Wo(1, 20, 25, 1),
Wo(0, 18, 11, 0),
Wo(0, 16, 25, 0),
Wo(1, 17, 6, 0)],
[Wo(1, 22, 14, 0),
Wo(0, 13, 22, 0),
Wo(0, 24, 15, 1),
Wo(1, 14, 18, 0)]]
print("Original matrix's delta = >")
plambda(W)
X = circulant([8, 8, 8, 8])
Y = circulant([8, 8, 8, 8])
#random.seed(20)
W = generate_anticirculant_rand_word_mat(4, [6, 2, -2, -6], 50)
pwords(W)
X = circulant([2, 5, 7, 8])
Y = circulant([3, 7, 4, 2])
res = MPF(X, W, Y)
print("Deltas -> ")
plambda(res)
def get_sigma_mat(words):
res = [[word.get_miu() for word in row] for row in words]
return res
# In[229]:
N = 4
random.seed(42)
W = generate_anticirculant_rand_word_mat(4, [6, 7, -1, -3], 50)
#W = generate_random_block_matrix(4)
print("Original matrix W => ")
pwords(W)
print()
deltaW = get_delta_mat(W)
pwords(W)
deltaW = np.array(get_delta_mat(W))
#deltaW = np.random.randint(10, size=(4, 4))
#
# X = circulant([1, 0, 0, 0])
# Y = circulant([22, 22, 21, 25])
#
#
# X = circulant([1, 2, 3, 3])