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import numpy as np
c = np.array([[[3,3,3],[2,2,2],[3,3,3],[4,4,4]],[[1,1,1],[2,2,2],[7,3,3],[4,4,4]],[[1,1,1],[3,3,3],[3,3,3],[4,4,4]],[[1,1,1],[2,2,2],[3,8,3],[3,3,3]],[[3,3,3],[2,2,2],[3,3,3],[4,4,4]]])
print("Content of c array is:")
print(c)
print("Shape of c array is:")
print(c.shape)
# I reshape my array to get only a 2D array
c_copy = c.reshape(c.shape[0] * c.shape[1], c.shape[2])
# Then I loop through all the elements of the array to replace [3, 3, 3] by [0, 0, 0]
c_copy[[np.array_equal(e, [3, 3, 3]) for e in c_copy]] = [0,0,0]
# And I reshape my copy to get the original shape back
c_modified = c_copy.reshape(c.shape)
print("New c array is correctly modified... but it takes time:")
print(c_modified)
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