def display_max_discount_options(d_max = 0.8):
"""
:param d_max : the max discount e.g. 0.8 means 20% off
:return : the max discount options
"""
print ""
print " The below are the maximal discount options"
print ""
print "The price for a coffee is %s $." % coffee_price
# Fundamentals:
range_alpha = compute_range_of_alpha(d_max)
alpha = range_alpha[0]
rate_of_customer_increase = range_alpha[1]
# Display 4 gambling options:
print "Choose from below:"
print " "
# Print the output for immoral gamblers
for gambler_type in GamblerType:
if gambler_type != GamblerType.moral:
[q_w, d_w, d_l] = calculate_discount(alpha, rate_of_customer_increase, gambler_type)
print " %s : %s, Winning Probability = %s %%" % (
gambler_type.input_option, gambler_type.description, int(100 * q_w))
# print " Win and get %s OR Lose and get %s" %(d_w,d_l)
print " Win and save %s $ OR Lose and save %s $" % (
round(coffee_price * (1 - d_w), 2), round(coffee_price * (1 - d_l), 2))
print " "
# Print the output for our scrupulous friends out there (moral person)
[q_w, d_w, d_l] = calculate_discount(alpha, rate_of_customer_increase, GamblerType.moral)
print " %s : %s, Guaranteed save %s $" % (GamblerType.moral.input_option,
GamblerType.moral.description,
round(coffee_price * (1 - d_w), 2))
def command_line_client(alpha=1.175, rate_of_customer_increase=1.35, range_alpha=[1.0, 1.35], no_inc=4):
"""
This is the main algorithm which starts an interactive simulation.
:param alpha:the desired rate of profit increase (>1)
:param rate_of_customer_increase :the expected rate of increase in no. of customers.
:param range_alpha : [lower bound, upper bound], range of alpha e.g. Here the upper bdd is strictly smaller than R
to make sure that you always save money even when you lose!
:param no_inc : no of default increments for each update of R
"""
print ""
print " Welcome to the world of gambling!"
print ""
print "The price for a coffee is %s $." % coffee_price
# Fundamentals:
width_inc = (range_alpha[1] - range_alpha[0]) / no_inc # default width of an increment
history = [] # history of past transactions
save = 0
no_win = 0
no_lose = 0
should_continue = 1
while should_continue == 1:
# Display 4 gambling options:
print '---------------------'
print "Choose from below:"
print " "
print "Current alpha = %s" % alpha
# Print the output for immoral gamblers
for gambler_type in GamblerType:
if gambler_type != GamblerType.moral:
[q_w, d_w, d_l] = calculate_discount(alpha, rate_of_customer_increase, gambler_type)
print " %s : %s, Winning Probability = %s %%" % (
gambler_type.input_option, gambler_type.description, int(100 * q_w))
# print " Win and get %s OR Lose and get %s" %(d_w,d_l)
print " Win and save %s $ OR Lose and save %s $" % (
round(coffee_price * (1 - d_w), 2), round(coffee_price * (1 - d_l), 2))
print " "
# Print the output for our scrupulous friends out there (moral person)
[q_w, d_w, d_l] = calculate_discount(alpha, rate_of_customer_increase, GamblerType.moral)
print " %s : %s, Guaranteed save %s $" % (GamblerType.moral.input_option,
GamblerType.moral.description,
round(coffee_price * (1 - d_w), 2))
print " "
# Ask for a preferred gambling option:
input_option = raw_input("Which type of gambler are you?: ")
# Show the result of the gamble and update the odds:
while not (input_option in ['1', '2', '3', '4']):
input_option = raw_input("Please choose from options 1, 2, 3 or 4.")
input_option = int(input_option)
gambler_type = GamblerType.lookup_gambler_by_input(input_option)
[q_w, d_w, d_l] = calculate_discount(alpha, rate_of_customer_increase,
gambler_type)
dice = random.random() # Generate a random number [0,1)
if dice < q_w:
win = round(coffee_price * (1 - d_w), 2)
print "Congratulations! You won %s $!" % win
save += coffee_price * (1 - d_w)
no_win += 1
history += ['W', [q_w, d_w, d_l]] # update history
if (alpha - width_inc * (1.25 - gambler_type.probability)) > range_alpha[0]:
alpha -= width_inc * (1.25 - gambler_type.probability) # update alpha!
else:
alpha = range_alpha[0]
else:
lose = round(coffee_price * (1 - d_l), 2)
print "Sorry, you only won on %s $!" % lose
save += coffee_price * (1 - d_l)
no_lose += 1
history += ['L', [q_w, d_w, d_l]] # update history
if (alpha + width_inc * (1.25 - gambler_type.probability)) < range_alpha[1]:
alpha += width_inc * (1.25 - gambler_type.probability) # update alpha!
else:
alpha = range_alpha[1]
print "You've saved %s $ so far!" % round(save, 2)
# Ask whether to cotinue:
should_continue = raw_input("Would you like to continue (1 = yes, 0 = no): ")
while not (should_continue == '0' or should_continue == '1'):
should_continue = raw_input("Please press number 1 or 0 (1 = yes, 0 = no): ")
should_continue = int(should_continue)
print "---------------------"
print "Thanks for playing the game :)"
print "Summary:"
print "You've saved:", save
no_total = no_win + no_lose
print "You've won %s times out of %s games" % (no_win, no_total)
print "Check variable 'History' to see the history of your past transactions."
return history
def command_line_client(alpha=1.175,
rate_of_customer_increase=1.35,
range_alpha=[1.0, 1.35],
no_inc=4):
"""
This is the main algorithm which starts an interactive simulation.
:param alpha:the desired rate of profit increase (>1)
:param rate_of_customer_increase :the expected rate of increase in no. of customers.
:param range_alpha : [lower bound, upper bound], range of alpha e.g. Here the upper bdd is strictly smaller than R
to make sure that you always save money even when you lose!
:param no_inc : no of default increments for each update of R
"""
print ""
print " Welcome to the world of gambling!"
print ""
print "The price for a coffee is %s $." % coffee_price
# Fundamentals:
width_inc = (range_alpha[1] -
range_alpha[0]) / no_inc # default width of an increment
history = [] # history of past transactions
save = 0
no_win = 0
no_lose = 0
should_continue = 1
while should_continue == 1:
# Display 4 gambling options:
print '---------------------'
print "Choose from below:"
print " "
print "Current alpha = %s" % alpha
# Print the output for immoral gamblers
for gambler_type in GamblerType:
if gambler_type != GamblerType.moral:
[q_w, d_w,
d_l] = calculate_discount(alpha, rate_of_customer_increase,
gambler_type)
print " %s : %s, Winning Probability = %s %%" % (
gambler_type.input_option, gambler_type.description,
int(100 * q_w))
# print " Win and get %s OR Lose and get %s" %(d_w,d_l)
print " Win and save %s $ OR Lose and save %s $" % (
round(coffee_price *
(1 - d_w), 2), round(coffee_price * (1 - d_l), 2))
print " "
# Print the output for our scrupulous friends out there (moral person)
[q_w, d_w, d_l] = calculate_discount(alpha, rate_of_customer_increase,
GamblerType.moral)
print " %s : %s, Guaranteed save %s $" % (
GamblerType.moral.input_option, GamblerType.moral.description,
round(coffee_price * (1 - d_w), 2))
print " "
# Ask for a preferred gambling option:
input_option = raw_input("Which type of gambler are you?: ")
# Show the result of the gamble and update the odds:
while not (input_option in ['1', '2', '3', '4']):
input_option = raw_input(
"Please choose from options 1, 2, 3 or 4.")
input_option = int(input_option)
gambler_type = GamblerType.lookup_gambler_by_input(input_option)
[q_w, d_w, d_l] = calculate_discount(alpha, rate_of_customer_increase,
gambler_type)
dice = random.random() # Generate a random number [0,1)
if dice < q_w:
win = round(coffee_price * (1 - d_w), 2)
print "Congratulations! You won %s $!" % win
save += coffee_price * (1 - d_w)
no_win += 1
history += ['W', [q_w, d_w, d_l]] # update history
if (alpha - width_inc *
(1. - gambler_type.probability)) > range_alpha[0]:
alpha -= width_inc * (1. - gambler_type.probability
) # update alpha!
else:
alpha = range_alpha[0]
else:
lose = round(coffee_price * (1 - d_l), 2)
print "Sorry, you only won on %s $!" % lose
save += coffee_price * (1 - d_l)
no_lose += 1
history += ['L', [q_w, d_w, d_l]] # update history
if (alpha + width_inc *
(1. - gambler_type.probability)) < range_alpha[1]:
alpha += width_inc * (1. - gambler_type.probability
) # update alpha!
else:
alpha = range_alpha[1]
print "You've saved %s $ so far!" % round(save, 2)
# Ask whether to cotinue:
should_continue = raw_input(
"Would you like to continue (1 = yes, 0 = no): ")
while not (should_continue == '0' or should_continue == '1'):
should_continue = raw_input(
"Please press number 1 or 0 (1 = yes, 0 = no): ")
should_continue = int(should_continue)
print "---------------------"
print "Thanks for playing the game :)"
print "Summary:"
print "You've saved:", save
no_total = no_win + no_lose
print "You've won %s times out of %s games" % (no_win, no_total)
print "Check variable 'History' to see the history of your past transactions."
return history
def command_line_client(d_max = 0.8, no_inc = 4):
"""
This is the main algorithm which starts an interactive simulation.
:param d_max : the max discount e.g. 0.8 means 20% off
to make sure that you always save money even when you lose!
:param no_inc : no of default increments for each update of R
"""
print ""
print " Welcome to the world of gambling!"
print ""
print "The price for a coffee is %s $." % coffee_price
# Fundamentals:
range_alpha = compute_range_of_alpha(d_max)
alpha = (range_alpha[1] + range_alpha[0])/2
print alpha
rate_of_customer_increase = range_alpha[1]
width_inc = (range_alpha[1] - range_alpha[0]) / no_inc # default width of an increment
alpha_mid = range_alpha[0] + (range_alpha[1] - range_alpha[0]) / 2 # middle alpha value
history = [] # history of past transactions
save = 0
no_win = 0
no_lose = 0
should_continue = 1
while should_continue == 1:
# Display the reputation (1 - 100) : the closer to 100, the better discounts you get.
potential = int(calculate_reputation(alpha, range_alpha))
print ""
print "Your Gambler potential is %s (on the scale 1 - 100)" % potential
print ""
# Display 4 gambling options:
print '---------------------'
print "Choose from below:"
print " "
# print "Current alpha = %s" % alpha
# print "Mid alpha is %s" % alpha_mid
# Print the output for immoral gamblers
for gambler_type in GamblerType:
if gambler_type != GamblerType.moral:
[q_w, d_w, d_l] = calculate_discount(alpha, rate_of_customer_increase, gambler_type)
print " %s : %s, Winning Probability = %s %%" % (
gambler_type.input_option, gambler_type.description, int(100 * q_w))
# print " Win and get %s OR Lose and get %s" %(d_w,d_l)
print " Win and save %s $ OR Lose and save %s $" % (
round(coffee_price * (1 - d_w), 2), round(coffee_price * (1 - d_l), 2))
print " "
# Print the output for our scrupulous friends out there (moral person)
[q_w, d_w, d_l] = calculate_discount(alpha, rate_of_customer_increase, GamblerType.moral)
print " %s : %s, Guaranteed save %s $" % (GamblerType.moral.input_option,
GamblerType.moral.description,
round(coffee_price * (1 - d_w), 2))
print " "
# Ask for a preferred gambling option:
input_option = raw_input("Which type of gambler are you?: ")
# Show the result of the gamble and update the odds:
while not (input_option in ['1', '2', '3', '4']):
input_option = raw_input("Please choose from options 1, 2, 3 or 4.")
input_option = int(input_option)
gambler_type = GamblerType.lookup_gambler_by_input(input_option)
[q_w, d_w, d_l] = calculate_discount(alpha, rate_of_customer_increase,
gambler_type)
dice = random.random() # Generate a random number [0,1)
if dice < q_w:
win = round(coffee_price * (1 - d_w), 2)
print "Congratulations! You won %s $!" % win
save += win
no_win += 1
history += ['W', [q_w, d_w, d_l]] # update history
#print input_option
#print type(input_option)
if (input_option in [1, 2, 3]) and ((alpha - width_inc * (1.25 - gambler_type.probability)) > range_alpha[0]):
alpha -= width_inc * (1.25 - gambler_type.probability) # update alpha!
elif (input_option == 4) and (alpha > alpha_mid):
print 'If the MP option is selected when your reputation is below 50, we raise it by 1/4 of the default increment.'
# print 'If the MP option is selected when alpha is above the mid-point, reduce by 1/4 of the default increment.'
alpha -= width_inc * (1.25 - gambler_type.probability)
elif (input_option == 4) and (alpha < alpha_mid):
print 'If the MP option is selected when your reputation is above 50, we reduce it by 1/4 of the default increment.'
# print 'If the MP option is selected when alpha is below the mid-point, raise by 1/4 of the default increment.'
alpha += width_inc * (1.25 - gambler_type.probability)
elif (input_option == 4) and (alpha == alpha_mid):
print 'If the MP option is selected when your reputation is exactly 50, it stays where it is.'
# print 'If the MP option is selected when alpha is at the mid-point, its value stays as it is.'
alpha = alpha
else:
alpha = range_alpha[0]
else:
lose = round(coffee_price * (1 - d_l), 2)
print "Sorry, you only won on %s $!" % lose
save += lose
no_lose += 1
history += ['L', [q_w, d_w, d_l]] # update history
if (alpha + width_inc * (1.25 - gambler_type.probability)) < range_alpha[1]:
alpha += width_inc * (1.25 - gambler_type.probability) # update alpha!
else:
alpha = range_alpha[1]
print "You've saved %s $ so far!" % round(save, 2)
# Ask whether to cotinue:
should_continue = raw_input("Would you like to continue (1 = yes, 0 = no): ")
while not (should_continue == '0' or should_continue == '1'):
should_continue = raw_input("Please press number 1 or 0 (1 = yes, 0 = no): ")
should_continue = int(should_continue)
print "---------------------"
print "Thanks for playing the game :)"
print "Summary:"
print "You've saved:", save
no_total = no_win + no_lose
print "You've won %s times out of %s games" % (no_win, no_total)
print "Check variable 'History' to see the history of your past transactions."
return history