# set numpy seed for consistency np.random.seed(12) # 50000 integers between 0 and 4 random_int1 = np.random.randint(low=0, high=5, size=50000, dtype=int) random_int2 = np.random.randint(low=0, high=5, size=50000, dtype=int) # 50000 booleans random_bool1 = np.random.choice([True,False], size=50000) random_bool2 = np.random.choice([True,False], size=50000) # integer arrays for in1d to compare (in1d is also utilised by isin) main_arr = np.arange(start=0, stop=50000, step=1, dtype=int) comp_arr = np.arange(start=0, stop=50000, step=2, dtype=int)