time_functions.py

import timeit
import numpy as np
from faker import Faker

# create the faker object
fake = Faker()

# np.random_choice function
def np_choice(N=1000):
  np.random.choice(N+1, N, replace = False)

# fake.random_sample function
def fake_random_sample(N=1000):
  fake.random_sample(range(1, N+1))

# timings
reps = 10000
np_avg_time = timeit.timeit(np_choice, number=reps) / reps
fake_avg_time = timeit.timeit(fake_random_sample, number=reps) / reps                   


print(f"""
  np.random.choice():   {(np_avg_time * 1e06):.0f}µs
  fake.random_sample(): {(fake_avg_time * 1e06):.0f}µs
  numpy is {fake_avg_time / np_avg_time:.0f}x faster
  """)