Scientific Computing with Python Projects - Probability Calculator

Tell us what’s happening:

My code fail on the third test, please help to review it… I have put the logic in the comment for each line. Thanks in advance guys…

Your code so far

import copy
import random
from collections import Counter

class Hat:

    def __init__(self,**balls):
        self.contents = []
        for k,v in balls.items():
            for _ in range(v):
        # self.drawballs = []
    def draw(self,numofballs):
        # set an empty list for result
        drawballs = []
        # get number of balls
        maxindex = len(self.contents)
        # if numofballs > len of content then return all the ball
        if numofballs >= len(self.contents) : drawballs = self.contents
            # looping numofballs times
            for _ in range(numofballs):
                # pop the balls with random index numbofballs times
                maxindex -= 1

        return drawballs

def experiment(hat, expected_balls, num_balls_drawn, num_experiments):
    prob = 0.0
    good = 0
    # looping num_experiments times
    for _ in range(num_experiments):
        hat_copy = copy.deepcopy(hat)
        # since expected_balls is dictionary, convert drawn to dict
        drawn = dict(Counter(hat_copy.draw(num_balls_drawn)))
        counter_color = 0
        counter_value = 0
        for color in expected_balls:
            # check if color in expected is exist
            if color in drawn:
                # if exist then add counter for color
                counter_color += 1
        # check if all colors in expected are exist in drawn
        if counter_color == len(expected_balls):
            for color in expected_balls:
                # check if each value in expected 
                # is less/equal value in drawn
                if expected_balls[color] <= drawn[color]:
                    # if each color fulfill the requirement then
                    # add counter of value
                    counter_value +=1
            # check if number of value also 
            # the same as number of item in expected
            if counter_value == len(expected_balls):
                good +=1

    prob = good/num_experiments

    return prob

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Challenge Information:

Scientific Computing with Python Projects - Probability Calculator

There’s small error in the draw method:

Traceback (most recent call last):
   File "/home/pyodide/", line 13, in test_prob_experiment
   probability = probability_calculator.experiment(hat=hat, expected_balls={"blue":2,"green":1}, num_balls_drawn=4, num_experiments=1000)
   File "/home/pyodide/", line 38, in experiment
     drawn = dict(Counter(hat_copy.draw(num_balls_drawn)))
   File "/home/pyodide/", line 25, in draw
 AttributeError: 'Hat' object has no attribute 'drawballs'

Aahh yes forgot to uncomment the declaration above, this is the code after I update, and sucessfully pass the test :smiley: … thank you for your support !
— removed —

It is great that you solved the challenge, but we are trying to cut back on the number of spoiler solutions found on the forum and instead focus on helping other campers with their questions and definitely not posting full working solutions.

OK, pardon me to put my code, I will erase it. Thank you.

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