import numpy as np

# %% Params of choice():

sample_space = np.array([1, 2, 3, 4, 5, 6])
sample_size = 5
replace = True
prob = [1/6, 1/6, 1/6, 1/6, 1/6, 1/6]

# %% Definition of fixed seed of random generator:

my_random_seed = np.random.RandomState(seed=1) 

# %% Generating sample with choice():
                                               
samples = my_random_seed.choice(
    sample_space,
    sample_size, 
    replace, prob)

print('Samples =', samples)