Python code for blackjack program:

I am getting this error.. what can I do to fix the problem?

Traceback (most recent call last): File "C:\2021 python class\blackjack.py", line 116, in process = multiprocessing.Process(target=simulate, args=(queue, batch_size))

code:

import random import multiprocessing import math import time

# configuration options simulations = 6000000 num_decks = 4 shuffle_perc = 75 def list(cards1): def simulate(queue, batch_size): deck = []

def new_deck(): std_deck = [ # 2 3 4 5 6 7 8 9 10 J Q K A 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10, 11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10, 11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10, 11, 2, 3, 4, 5, 6, 7, 8, 9, 10, 10, 10, 10, 11, ]

# add more decks std_deck = std_deck * num_decks

random.shuffle(std_deck)

return std_deck[:]

def play_hand(): dealer_cards = [] player_cards = []

# deal initial cards player_cards.append(deck.pop(0)) dealer_cards.append(deck.pop(0)) player_cards.append(deck.pop(0)) dealer_cards.append(deck.pop(0))

# deal player to 12 or higher while sum(player_cards) < 12: player_cards.append(deck.pop(0))

# deal dealer on soft 17 while sum(dealer_cards) < 18: exit = False # check for soft 17 if sum(dealer_cards) == 17: exit = True # check for an ace and convert to 1 if found for i, card in enumerate(dealer_cards): if card == 11: exit = False dealer_cards[i] = 1

if exit: break

dealer_cards.append(deck.pop(0))

p_sum = sum(player_cards) d_sum = sum(dealer_cards)

# dealer bust if d_sum > 21: return 1; # dealer tie if d_sum == p_sum: return 0; # dealer win if d_sum > p_sum: return -1; # dealer lose if d_sum < p_sum: return 1

# starting deck deck = new_deck()

# play hands win = 0 draw = 0 lose = 0 for i in range(0, batch_size): # reshuffle cards at shuffle_perc percentage if (float(len(deck)) / (52 * num_decks)) * 100 < shuffle_perc: deck = new_deck()

# play hand result = play_hand()

# tally results if result == 1: win += 1 if result == 0: draw += 1 if result == -1: lose += 1

# add everything to the final results queue.put([win, draw, lose])

start_time = time.time()

# simulate cpus = multiprocessing.cpu_count() batch_size = int(math.ceil(simulations / float(cpus)))

queue = multiprocessing.Queue()

# create n processes processes = []

for i in range(0, cpus): process = multiprocessing.Process(target=simulate, args=(queue, batch_size)) processes.append(process) process.start()

# wait for everything to finish for proc in processes: proc.join()

finish_time = time.time() - start_time

# get totals win = 0 draw = 0 lose = 0

for i in range(0, cpus): results = queue.get() win += results[0] draw += results[1] lose += results[2]

print print (' cores used: %d' % cpus) print (' total simulations: %d' % simulations) print (' simulations/s: %d' % (float(simulations) / finish_time)) print (' execution time: %.2fs' % finish_time) print (' win percentage: %.2f%%' % ((win / float(simulations)) * 100)) print (' draw percentage: %.2f%%' % ((draw / float(simulations)) * 100)) print (' lose percentage: %.2f%%' % ((lose / float(simulations)) * 100)) print

NameError: name 'simulate' is not defined