from otree.api import ( models, widgets, BaseConstants, BaseSubsession, BaseGroup, BasePlayer, Currency as c, currency_range ) # from mpl.config import * import random from random import randrange import importlib, os APP_DIR=os.path.basename(os.path.dirname(__file__)) mdl = importlib.import_module(APP_DIR+'.config') # is there an __all__? if so respect it if "__all__" in mdl.__dict__: names = mdl.__dict__["__all__"] else: # otherwise we import all names that don't begin with _ names = [x for x in mdl.__dict__ if not x.startswith("_")] # now drag them in globals().update({k: getattr(mdl, k) for k in names}) author = 'Felix Holzmeister' doc = """ Multiple price list task as proposed by Holt/Laury (2002), American Economic Review 92(5). """ # ******************************************************************************************************************** # # *** CLASS SUBSESSION # ******************************************************************************************************************** # class Subsession(BaseSubsession): proba = models.IntegerField() def creating_session(self): shuffled_probabilities = Constants.probabilities.copy() random.shuffle(shuffled_probabilities) print(shuffled_probabilities) for i in range(1, self.round_number + 1): if self.round_number == 1: # Shuffle probabilities once and store them in session vars self.session.vars['proba'] = shuffled_probabilities[0] elif self.round_number == 2: self.session.vars['proba'] = shuffled_probabilities[1] elif self.round_number == 3: self.session.vars['proba'] = shuffled_probabilities[2] elif self.round_number == 4: self.session.vars['proba'] = shuffled_probabilities[3] else: self.session.vars['proba'] = shuffled_probabilities[4] self.proba = self.session.vars['proba'] n = Constants.num_choices for p in self.get_players(): indices = [j for j in range(1, n)] if Constants.certain_choice: indices.append(n) if Constants.percentage: probabilities = [ "{0:.2f}".format(self.proba) + "%" for k in indices ] else: probabilities = [ str(self.proba) + "/" + str(100) for k in indices ] # Lottery A remains constant (high = 20, low = 0) lottery_a_hi_values = [Constants.lottery_a_hi + 0*k for k in indices] lottery_a_lo_values = [Constants.lottery_a_lo * k for k in indices] # Lottery B increases by 1€ in each row lottery_a_certain = [Constants.lottery_a_certain + k for k in indices] form_fields = ['choice_' + str(k) for k in indices] p.participant.vars['mpl_choices'] = list( zip(indices, form_fields, probabilities, lottery_a_hi_values, lottery_a_lo_values, lottery_a_certain, ["pie_a_%d" % i for i in indices], ["pie_b_%d" % i for i in indices],[self.round_number for i in indices]) ) # Randomly determine index/choice of binary decision to pay p.participant.vars['mpl_index_to_pay'] = random.choice(indices) p.participant.vars['mpl_choice_to_pay'] = 'choice_' + str(p.participant.vars['mpl_index_to_pay']) # Initiate list for choices made p.participant.vars['mpl_choices_made'] = [None for _ in range(1, n + 1)] # Generate random switching point for PlayerBot in tests.py for participant in self.session.get_participants(): participant.vars['mpl_switching_point'] = random.randint(1, n) # ******************************************************************************************************************** # # *** CLASS GROUP # ******************************************************************************************************************** # class Group(BaseGroup): pass # ******************************************************************************************************************** # # *** CLASS PLAYER # ******************************************************************************************************************** # class Player(BasePlayer): # add model fields to class player # :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: if Constants.certain_choice: for j in range(1, Constants.num_choices + 1): locals()['choice_' + str(j)] = models.StringField() del j else: for j in range(1, Constants.num_choices): locals()['choice_' + str(j)] = models.StringField() del j random_draw = models.IntegerField() choice_to_pay = models.StringField() option_to_pay = models.StringField() inconsistent = models.IntegerField() switching_row = models.IntegerField() current_payoff = models.FloatField() # set player's payoff # :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: def set_payoffs(self): # Retrieve the chosen row (randomly selected during session creation) chosen_row = self.participant.vars['mpl_index_to_pay'] # Find the probability for this row (Extract from mpl_choices) for tpl in self.participant.vars['mpl_choices']: if tpl[0] == chosen_row: # Matching the index (first element) probability = int(tpl[2].split('/')[0]) # Extract "x" from "x/100" break else: probability = 0 # Default case (should not happen) # Generate a random number between 1-100 to simulate probability self.random_draw = randrange(1, 101) # Random draw from 1 to 100 # Set to participant.var['choice_to_pay'] determined in creating_session self.choice_to_pay = self.participant.vars['mpl_choice_to_pay'] # Determine whether Lottery A or B was chosen self.option_to_pay = getattr(self, self.choice_to_pay) # Set player's payoff if self.option_to_pay == 'A': if self.random_draw <= probability: my_payoff = Constants.lottery_a_hi # High outcome with given probability else: my_payoff = Constants.lottery_a_lo # Low outcome otherwise elif self.option_to_pay == 'B': # Safe option: Find corresponding certain value (6th element in tuple) for tpl in self.participant.vars['mpl_choices']: if tpl[0] == chosen_row: my_payoff = tpl[5] # The certain value break else: my_payoff = 0 # Default case (error handling) if not Constants.hypothetic: self.payoff = my_payoff self.current_payoff = my_payoff self.participant.vars['mpl_payoff'] = my_payoff self.participant.holt_laury_gain = my_payoff # If no matching row is found (error case) if not Constants.hypothetic: self.payoff = my_payoff self.current_payoff = my_payoff # set payoff as global variable # ------------------------------------------------------------------------------------------------------------ self.participant.vars['mpl_payoff'] = my_payoff self.participant.holt_laury_gain = my_payoff # determine consistency # :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: def set_consistency(self): n = Constants.num_choices # replace A's by 1's and B's by 0's self.participant.vars['mpl_choices_made'] = [ 1 if j == 'A' else 0 for j in self.participant.vars['mpl_choices_made'] ] # check for multiple switching behavior for j in range(1, n): choices = self.participant.vars['mpl_choices_made'] self.inconsistent = 1 if choices[j] > choices[j - 1] else 0 if self.inconsistent == 1: break # determine switching row # :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: def set_switching_row(self): # set switching point to row number of first 'B' choice if self.inconsistent == 0: self.switching_row = sum(self.participant.vars['mpl_choices_made']) + 1