class Dog :
    
    def __init__(self, name, age):
        self.name = name
        self.age = age
        
    def sit(self) :
        print (f"{self.name} is now sitting.")
    
    def roll_over(self) :
        print (f"{self.name} rolled over!.")
        
mydog = Dog('bodhi', 6)

mydog.roll_over()

class Restaurant :
    
    def __init__ (self, name, cuisine) :
        self.name = name
        self.cuisine = cuisine 
        
    
    def describe_restaurant (self) :
        return f"{self.name} serves {self.cuisine} food"

    def open_restaurant (self) :
        return f"{self.name} is open"
    

myrestaurant = Restaurant('Javiers', 'Mexican')
yourrestaurant = Restaurant('Marios', 'Italian')

print(myrestaurant.describe_restaurant())
print(myrestaurant.open_restaurant())

print(yourrestaurant.describe_restaurant())

import copy
import random


class Hat:
    def __init__(self, **hattypes):
        self.contents = []
        for key, value in hattypes.items():
            self.contents += [key] * int(value)

    def draw(self, number_select):
        number_total = len(self.contents)
        if number_select >= number_total:
            return self.contents
        results = []
        for i in range(0, number_select):
            trial = random.randint(0, number_total - 1)
            results.append(self.contents.pop(trial))
            number_total -= 1

        return results


def experiment(hat, expected_balls, num_balls_drawn, num_experiments):
    count = 0
    for _ in range(0, num_experiments):
        h = copy.deepcopy(hat)
        balls = h.draw(num_balls_drawn)
        d = {}
        for b in balls:
            v = d.get(b, 0)
            d[b] = v + 1

        found = True
        for b, v in expected_balls.items():
            if d.get(b, 0) < v:
                found = False
                break

        if found:
            count += 1

    return print(count / num_experiments)

hat = Hat(black=6, red=4, green=3)
probability = experiment(hat=hat, expected_balls={"red":3,"green":1}, num_balls_drawn=4, num_experiments=200000)