eustin
/ wiki_image_urls_sample.txt
Created
January 22, 2023 06:10
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| https://upload.wikimedia.org/wikipedia/commons/c/c5/%21%21%21_Mdina_buildings_05.jpg | |
| https://upload.wikimedia.org/wikipedia/commons/d/d5/%21-2011-debowa-leka-palac-abri.jpg | |
| https://upload.wikimedia.org/wikipedia/commons/c/c2/%21-20100523-szlichtyngowa-wiatrak-abri.jpg | |
| https://upload.wikimedia.org/wikipedia/commons/c/ca/%21Illegal_street_ads_on_a_bicycle.jpg | |
| https://upload.wikimedia.org/wikipedia/commons/f/fc/%21-2010-hetmanice-kosciol-abri.jpg | |
| https://upload.wikimedia.org/wikipedia/commons/2/27/%21-2011-debowa-leka-kosciol-abri.jpg | |
| https://upload.wikimedia.org/wikipedia/commons/0/0b/%22%2Barya%2B%22_penjual_jamu_tradisional_-_%EA%A6%A2%EA%A6%BA%EA%A6%B4%EA%A6%AD%EA%A7%80%EA%A6%A2%EA%A6%BA%EA%A6%B4%EA%A6%AD%EA%A6%A4%EA%A7%80_%EA%A6%97%EA%A6%A9%EA%A6%B8_%EA%A6%A0%EA%A6%BF%EA%A6%A2%EA%A6%B6%EA%A6%B1%EA%A6%B6%EA%A6%AA%EA%A6%BA%EA%A6%B4%EA%A6%A4%EA%A6%AD%EA%A7%80_Pilangsari_2019.jpg | |
| https://upload.wikimedia.org/wikipedia/commons/c/cd/%22..._Although_a_dress_uniform_is_not_a_part_of_the_regular_equipment%2C_most_of |
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| import random | |
| import numpy as np | |
| from statsmodels.stats.proportion import score_test_proportions_2indep | |
| from scipy import stats | |
| from numba import njit, prange | |
| import matplotlib.pyplot as plt | |
| import matplotlib.ticker as ticker | |
| import seaborn as sns |
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| rng = np.random.default_rng(1337) # random number generator using the one true seed | |
| sns.set_style('white') |
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| NUM_CONTROL_USERS = 6 # total number of users in control group | |
| control_users = np.zeros(NUM_CONTROL_USERS) | |
| #> array([0., 0., 0., 0., 0., 0.]) |
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| NUM_CONVERTING_CONTROL_USERS = 3 | |
| control_users[:NUM_CONVERTING_CONTROL_USERS] = 1.0 | |
| #> array([1., 1., 1., 0., 0., 0.]) |
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| control_conversion_rate = control_users.mean() | |
| print(f"control conversion rate: {control_conversion_rate:.1%}") | |
| #> control conversion rate: 50.0% |
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| NUM_VARIANT_USERS = 6 | |
| NUM_CONVERTING_VARIANT_USERS = 4 | |
| variant_users = np.zeros(NUM_VARIANT_USERS) | |
| variant_users[:NUM_CONVERTING_VARIANT_USERS] = 1.0 | |
| variant_conversion_rate = variant_users.mean() | |
| print(f"variant conversion rate: {variant_conversion_rate:.1%}") | |
| #> variant conversion rate: 66.7% |
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| observed_diff_in_rates = variant_conversion_rate - control_conversion_rate | |
| print(f"observed difference in conversion rates: {observed_diff_in_rates:.1%}") | |
| #> observed difference in conversion rates: 16.7% |
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| all_users = np.hstack([control_users, variant_users]) | |
| #> array([1., 1., 1., 0., 0., 0., 1., 1., 1., 1., 0., 0.]) |
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| rng.shuffle(all_users) | |
| #> array([0., 1., 1., 0., 1., 1., 1., 0., 0., 0., 1., 1.]) |