Random drop

random_drop.py

import numpy as np
import random

ILOSC_KREGOW = 9

probabilities = np.array([np.exp(-x) for x in range(ILOSC_KREGOW) ])
normalized_probs = probabilities / np.sum(probabilities) # teraz ich suma to 1.0
print("Prawdopodobienswa po normalizacji", normalized_probs)
normalized_probs = list(normalized_probs)

def get_random_kreg():
    r = random.random()
    print("Wylosowana liczba:", r)
    previous = 0
    for kreg, prob in enumerate(normalized_probs):
        prob += previous
        previous = prob
        if r < prob:
            return kreg
    return ILOSC_KREGOW # ponizej najmniejszego prawdopodobienstwa

print("Wybrany krag:", get_random_kreg())