I need someone to help explain what is happening at the last line of the code in the given solution, especially how the part result[bad] works and why bad.sum() is needed as an argument def goat_door(prizedoors, guesses): #strategy: generate random answers, and #keep updating until they satisfy the rule #that they aren't a prizedoor or a guess result = np.random.randint(0, 3, prizedoors.size) while True: bad = (result == prizedoors) | (result == guesses) if not bad.any(): return result result[bad] = np.random.randint(0, 3, bad.sum()) From what I understand, the last line is a way of replacing the bad and result variable with an empty array. I have improvised with my own code below but I still need to understand how the original solution works. Would appreciate any help thank you! def goat_door(prizedoors, guesses): result = np.random.randint(0,3, prizedoors.size) while True: global choose_again choose_again = np.logical_or((result == prizedoors),(result == guesses)) if not np.array(choose_again).any(): return result choose_again = [] result = np.random.randint(0,3, prizedoors.size) Continue reading...
