def simulation(remaining_board):
# Extract variables shared through inheritance
given_board, hole_cards = simulation.given_board, simulation.hole_cards
num_players = simulation.num_players
winner_list = simulation.winner_list
result_histograms = simulation.result_histograms
# Generate a new board
if given_board:
board = given_board[:]
board.extend(remaining_board)
else:
board = remaining_board
# Extract process id from the name of the current process
# Names are of the format: PoolWorker-1 - PoolWorker-n
proc_id = int(multiprocessing.current_process().name[-1]) - 1
# Create results data structure which tracks results of comparisons
result_list = []
for player in xrange(num_players):
result_list.append([])
# Find the best possible poker hand given the created board and the
# hole cards and save them in the results data structures
(suit_histogram,
histogram, max_suit) = holdem_functions.preprocess_board(board)
for index, hole_card in enumerate(hole_cards):
result_list[index] = holdem_functions.detect_hand(hole_card, board,
suit_histogram, histogram, max_suit)
# Find the winner of the hand and tabulate results
winner_index = holdem_functions.compare_hands(result_list)
winner_list[proc_id * (num_players + 1) + winner_index] += 1
# Increment what hand each player made
for index, result in enumerate(result_list):
result_histograms[10 * (proc_id * num_players + index)
+ result[0]] += 1
def main():
# Parse command line arguments into hole cards and create deck
(hole_cards, num_iterations,
exact, given_board, deck, num_players) = holdem_argparser.parse_args()
assigned_num_players, unassigned_num_players = len(hole_cards), num_players - len(hole_cards)
if(num_players == 0):
num_players = len(hole_cards)
# Create results data structures which tracks results of comparisons
# 1) result_histograms: a list for each player that shows the number of
# times each type of poker hand (e.g. flush, straight) was gotten
# 2) winner_list: number of times each player wins the given round
# 3) result_list: list of the best possible poker hand for each pair of
# hole cards for a given board
result_list, winner_list = [None] * num_players, [0] * (num_players + 1)
result_histograms = []
for player in xrange(num_players):
result_histograms.append([0] * 10)
# Choose whether we're running a Monte Carlo or exhaustive simulation
board_length = 0 if given_board == None else len(given_board)
# When a board is given, exact calculation is much faster than Monte Carlo
# simulation, so default to exact if a board is given
generate_boards = holdem_functions.generate_random_boards
# Run simulations
for generated_cards in generate_boards(deck, num_iterations, board_length, unassigned_num_players):
# Assign cards to unassigned players
for i in range(unassigned_num_players):
hole_cards.append((generated_cards[0], generated_cards[1]))
del generated_cards[0:2]
hole_card = tuple(hole_cards)
remaining_board = generated_cards
# Generate a new board
if given_board:
board = given_board[:]
board.extend(remaining_board)
else:
board = remaining_board
# Find the best possible poker hand given the created board and the
# hole cards and save them in the results data structures
(suit_histogram,histogram, max_suit) = holdem_functions.preprocess_board(board)
for index, hole_card in enumerate(hole_cards):
result_list[index] = holdem_functions.detect_hand(hole_card, board,suit_histogram, histogram, max_suit)
# Find the winner of the hand and tabulate results
winner_index = holdem_functions.compare_hands(result_list)
winner_list[winner_index] += 1
if winner_index != 0:
print "Winner:" + str(winner_index) + " With cards " + str(hole_cards[winner_index - 1][0]) + " | "+ str(hole_cards[winner_index - 1][1])
# Increment what hand each player made
for index, result in enumerate(result_list):
result_histograms[index][result[0]] += 1
# Dump appended random hole_cards
hole_cards = list(hole_cards)
for i in range(unassigned_num_players):
del hole_cards[assigned_num_players]
holdem_functions.print_results(hole_cards, winner_list, result_histograms)
def _evaluate(hole_cards, deck, given_board, num_iterations):
num_players = len(hole_cards)
result_list, winner_list = [None] * num_players, [0] * (num_players + 1)
result_histograms = []
for player in xrange(num_players):
result_histograms.append([0] * 10)
board_length = 0 if given_board is None else len(given_board)
if given_board is not None:
generate_boards = holdem_functions.generate_exhaustive_boards
else:
generate_boards = holdem_functions.generate_random_boards
# Run simulations
for remaining_board in generate_boards(deck, num_iterations, board_length):
# Generate a new board
if given_board:
board = given_board[:]
board.extend(remaining_board)
else:
board = remaining_board
# Find the best possible poker hand given the created board and the
# hole cards and save them in the results data structures
(suit_histogram, histogram, max_suit) = \
holdem_functions.preprocess_board(board)
for index, hole_card in enumerate(hole_cards):
result_list[index] = holdem_functions.detect_hand(
hole_card, board, suit_histogram, histogram, max_suit
)
# Find the winner of the hand and tabulate results
winner_index = holdem_functions.compare_hands(result_list)
winner_list[winner_index] += 1
# Increment what hand each player made
for index, result in enumerate(result_list):
result_histograms[index][result[0]] += 1
float_iterations = float(sum(winner_list))
return winner_list[1] / float_iterations, winner_list[2] / float_iterations
def _evaluate(hole_cards, deck, given_board, num_iterations):
num_players = len(hole_cards)
result_list, winner_list = [None] * num_players, [0] * (num_players + 1)
result_histograms = []
for player in xrange(num_players):
result_histograms.append([0] * 10)
board_length = 0 if given_board is None else len(given_board)
if given_board is not None:
generate_boards = holdem_functions.generate_exhaustive_boards
else:
generate_boards = holdem_functions.generate_random_boards
# Run simulations
for remaining_board in generate_boards(deck, num_iterations, board_length):
# Generate a new board
if given_board:
board = given_board[:]
board.extend(remaining_board)
else:
board = remaining_board
# Find the best possible poker hand given the created board and the
# hole cards and save them in the results data structures
(suit_histogram, histogram, max_suit) = \
holdem_functions.preprocess_board(board)
for index, hole_card in enumerate(hole_cards):
result_list[index] = holdem_functions.detect_hand(
hole_card, board, suit_histogram, histogram, max_suit)
# Find the winner of the hand and tabulate results
winner_index = holdem_functions.compare_hands(result_list)
winner_list[winner_index] += 1
# Increment what hand each player made
for index, result in enumerate(result_list):
result_histograms[index][result[0]] += 1
float_iterations = float(sum(winner_list))
return winner_list[1] / float_iterations, winner_list[2] / float_iterations
def calc(hold_card, board_card=None):
# generate parameter
hole_cards = holdem_argparser.parse_hole_cards(hold_card)
given_board = holdem_argparser.parse_cards(board_card)
if given_board:
all_cards = list(hole_cards)
all_cards.append(given_board)
deck = holdem_functions.generate_deck(all_cards)
else:
deck = holdem_functions.generate_deck(hole_cards)
num_iterations = 10000
exact = False
# copy from holem_calc.py main fuction
num_players = 1
# Create results data structures which tracks results of comparisons
# 1) result_histograms: a list for each player that shows the number of
# times each type of poker hand (e.g. flush, straight) was gotten
# 2) winner_list: number of times each player wins the given round
# 3) result_list: list of the best possible poker hand for each pair of
# hole cards for a given board
result_list, winner_list = [None] * num_players, [0] * (num_players + 1)
result_histograms = []
for player in xrange(num_players):
result_histograms.append([0] * 10)
# Choose whether we're running a Monte Carlo or exhaustive simulation
board_length = 0 if given_board == None else len(given_board)
# When a board is given, exact calculation is much faster than Monte Carlo
# simulation, so default to exact if a board is given
if exact or given_board is not None:
generate_boards = holdem_functions.generate_exhaustive_boards
else:
generate_boards = holdem_functions.generate_random_boards
# Run simulations
for remaining_board in generate_boards(deck, num_iterations, board_length):
# Generate a new board
if given_board:
board = given_board[:]
board.extend(remaining_board)
else:
board = remaining_board
# Find the best possible poker hand given the created board and the
# hole cards and save them in the results data structures
(suit_histogram, histogram,
max_suit) = holdem_functions.preprocess_board(board)
for index, hole_card in enumerate(hole_cards):
result_list[index] = holdem_functions.detect_hand(
hole_card, board, suit_histogram, histogram, max_suit)
# Find the winner of the hand and tabulate results
winner_index = holdem_functions.compare_hands(result_list)
winner_list[winner_index] += 1
# Increment what hand each player made
for index, result in enumerate(result_list):
result_histograms[index][result[0]] += 1
float_iterations = float(sum(winner_list))
pro_result = [None] * 10
for index, elem in enumerate(result_histograms[0]):
pro_result[index] = float(elem) / float_iterations
return pro_result
def calc(hold_card, board_card=None):
# generate parameter
hole_cards = holdem_argparser.parse_hole_cards(hold_card)
given_board = holdem_argparser.parse_cards(board_card)
if given_board:
all_cards = list(hole_cards)
all_cards.append(given_board)
deck = holdem_functions.generate_deck(all_cards)
else:
deck = holdem_functions.generate_deck(hole_cards)
num_iterations = 10000
exact = False
# copy from holem_calc.py main fuction
num_players = 1
# Create results data structures which tracks results of comparisons
# 1) result_histograms: a list for each player that shows the number of
# times each type of poker hand (e.g. flush, straight) was gotten
# 2) winner_list: number of times each player wins the given round
# 3) result_list: list of the best possible poker hand for each pair of
# hole cards for a given board
result_list, winner_list = [None] * num_players, [0] * (num_players + 1)
result_histograms = []
for player in xrange(num_players):
result_histograms.append([0] * 10)
# Choose whether we're running a Monte Carlo or exhaustive simulation
board_length = 0 if given_board == None else len(given_board)
# When a board is given, exact calculation is much faster than Monte Carlo
# simulation, so default to exact if a board is given
if exact or given_board is not None:
generate_boards = holdem_functions.generate_exhaustive_boards
else:
generate_boards = holdem_functions.generate_random_boards
# Run simulations
for remaining_board in generate_boards(deck, num_iterations, board_length):
# Generate a new board
if given_board:
board = given_board[:]
board.extend(remaining_board)
else:
board = remaining_board
# Find the best possible poker hand given the created board and the
# hole cards and save them in the results data structures
(suit_histogram,
histogram, max_suit) = holdem_functions.preprocess_board(board)
for index, hole_card in enumerate(hole_cards):
result_list[index] = holdem_functions.detect_hand(hole_card, board,
suit_histogram, histogram, max_suit)
# Find the winner of the hand and tabulate results
winner_index = holdem_functions.compare_hands(result_list)
winner_list[winner_index] += 1
# Increment what hand each player made
for index, result in enumerate(result_list):
result_histograms[index][result[0]] += 1
float_iterations = float(sum(winner_list))
pro_result = [None]*10
for index, elem in enumerate(result_histograms[0]):
pro_result[index] = float(elem) / float_iterations
return pro_result