1 | import logging
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2 | import time
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3 | from random import randint
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4 | from typing import cast
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5 | import random
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6 | import functools
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7 |
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8 | from geniusweb.actions.Accept import Accept
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9 | from geniusweb.actions.Action import Action
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10 | from geniusweb.actions.ActionWithBid import ActionWithBid
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11 | from geniusweb.actions.Offer import Offer
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12 | from geniusweb.actions.PartyId import PartyId
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13 | from geniusweb.bidspace.AllBidsList import AllBidsList
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14 | from geniusweb.inform.ActionDone import ActionDone
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15 | from geniusweb.inform.Finished import Finished
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16 | from geniusweb.inform.Inform import Inform
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17 | from geniusweb.inform.Settings import Settings
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18 | from geniusweb.inform.YourTurn import YourTurn
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19 | from geniusweb.issuevalue.Bid import Bid
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20 | from geniusweb.issuevalue.Domain import Domain
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21 | from geniusweb.issuevalue.Value import Value
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22 | from geniusweb.issuevalue.ValueSet import ValueSet
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23 | from geniusweb.opponentmodel.FrequencyOpponentModel import FrequencyOpponentModel
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24 | from geniusweb.party.Capabilities import Capabilities
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25 | from geniusweb.party.DefaultParty import DefaultParty
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26 | from geniusweb.profile.utilityspace.UtilitySpace import UtilitySpace
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27 | from geniusweb.profileconnection.ProfileConnectionFactory import (
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28 | ProfileConnectionFactory,
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29 | )
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30 | from geniusweb.progress.ProgressRounds import ProgressRounds
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31 | from tudelft_utilities_logging.Reporter import Reporter
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32 | import numpy as np
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33 |
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34 |
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35 | class Acceptinator:
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36 | def __init__(self, bid_window, acceptance_threshold, trajectory_threshold):
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37 | self.my_bids_utility = []
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38 | self.my_bid_window_average = []
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39 | self.other_bids_utility = []
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40 | self.other_bid_window_average = []
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41 | self.min_bid = 1
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42 | self.max_bid = 0
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43 | self.bid_window = bid_window
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44 | self.acceptance_threshold = acceptance_threshold
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45 | self.bid_trajectory = ""
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46 | self.trajectory_threshold = trajectory_threshold
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47 | self.currentBid = None
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48 |
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49 | def process_bid_utility(self, my_utility, other_agent_utility):
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50 | self.my_bids_utility.append(float(my_utility))
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51 | self.other_bids_utility.append(float(other_agent_utility))
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52 | self.min_bid = min(self.min_bid, other_agent_utility)
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53 | self.max_bid = max(self.max_bid, other_agent_utility)
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54 |
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55 | def get_current_window_average(self):
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56 | """get the current window average of two agents based on the data stored by the process_bid utility"""
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57 | if len(self.my_bids_utility) - self.bid_window > 1:
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58 | my_window_utility_bid_mean = np.mean(self.my_bids_utility[len(self.my_bids_utility) - self.bid_window:])
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59 | other_window_utility_bid_mean = np.mean(
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60 | self.other_bids_utility[len(self.my_bids_utility) - self.bid_window:])
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61 | self.my_bid_window_average.append(my_window_utility_bid_mean)
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62 | self.other_bid_window_average.append(other_window_utility_bid_mean)
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63 |
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64 | return (my_window_utility_bid_mean, other_window_utility_bid_mean)
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65 | return None
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66 |
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67 | def get_current_window_average_trend(self):
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68 | """get the current window average trend of two agents based on the data stored by the process_bid utility"""
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69 | if len(self.my_bids_utility) - self.bid_window > 1:
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70 | curr_window_bid = np.mean(self.my_bids_utility[len(self.my_bids_utility) - self.bid_window:])
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71 | curr_window_utility = np.mean(self.other_bids_utility[len(self.my_bids_utility) - self.bid_window:])
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72 | self.my_bid_window_average.append(curr_window_bid)
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73 | self.other_bid_window_average.append(curr_window_utility)
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74 | # try to establish what is the trajectory of the other agent
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75 | if len(self.my_bid_window_average) >= 1:
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76 | if self.my_bid_window_average[len(self.my_bid_window_average) - 2] < self.my_bid_window_average[
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77 | len(self.my_bid_window_average) - 1]:
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78 | if self.my_bid_window_average[
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79 | len(self.my_bid_window_average) - 1] + self.trajectory_threshold >= \
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80 | self.my_bid_window_average[len(self.my_bid_window_average) - 1]:
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81 | pass
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82 | else:
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83 | self.bid_trajectory = "DOWNTREND"
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84 | else:
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85 | # check if the bid utility given by the other agent represents an uptrend
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86 | if self.my_bid_window_average[
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87 | len(self.my_bid_window_average) - 1] - self.trajectory_threshold >= \
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88 | self.my_bid_window_average[len(self.my_bid_window_average) - 1]:
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89 | pass
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90 | else:
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91 | self.bid_trajectory = "UPTREND"
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92 |
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93 | return (curr_window_bid, curr_window_utility)
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94 | return None
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95 |
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96 | def is_bid_good_enough_utility(self, utility, progress):
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97 | if progress < 0.6:
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98 | return False
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99 |
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100 | return utility <= self.other_bid_window_average[len(self.other_bid_window_average) - 1]
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101 |
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102 | def is_bid_good_enough(self, my_utility, other_utility, progress):
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103 | """check if received bid is good enough with respect to our agent's
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104 | average utility over a time window and time (progress)"""
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105 | if progress > 0.35 and other_utility >= my_utility:
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106 | return True
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107 | elif progress < 0.25:
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108 | return False
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109 | elif len(self.my_bid_window_average) >= 1 and progress < 0.7 and other_utility >= self.my_bid_window_average[
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110 | len(self.my_bid_window_average) - 1]:
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111 | return True
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112 |
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113 | def is_bid_good_enough_trend(self, progress):
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114 | """check if the bid is good enough with respect to time, the other agent utility, and
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115 | our average utility at the end of each time window"""
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116 | if self.bid_trajectory == "DOWNTREND" and progress < 0.6:
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117 | return False
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118 |
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119 | return self.get_current_window_average()[1] / self.get_current_window_average()[0] > self.acceptance_threshold
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120 |
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121 |
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122 | class Agent19(DefaultParty):
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123 | """
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124 | Group19_NegotiationAssignment_Agent first sorts the bids according to their utility
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125 | and offer random bids with a high utily for him in the begining and do frequency oponent modeling
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126 | after 20% of the rounds he only offers bids that have a good utility for him and its oponent
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127 | """
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128 |
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129 | def __init__(self, reporter: Reporter = None):
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130 | super().__init__(reporter)
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131 | self.getReporter().log(logging.INFO, "party is initialized")
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132 | self._profile = None
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133 | self._last_received_bid: Bid = None
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134 | self._sortedList = None
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135 | self._opponent = None
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136 | self._opponentAction = None
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137 | self.counter = 0
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138 |
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139 | self.acceptinator = Acceptinator(20, 1.7, 0.05)
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140 |
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141 | self.bestBid = None
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142 | self.bestBidsFirst = None
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143 | self.bestBidsSecond = None
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144 | self.bestBidsThird = None
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145 | self.bestBidsFourth = None
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146 | self.bestBidsFifth = None
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147 |
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148 | def notifyChange(self, info: Inform):
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149 | """This is the entry point of all interaction with your agent after is has been initialised.
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150 |
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151 | Args:
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152 | info (Inform): Contains either a request for action or information.
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153 | """
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154 |
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155 | # a Settings message is the first message that will be send to your
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156 | # agent containing all the information about the negotiation session.
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157 | if isinstance(info, Settings):
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158 | self._settings: Settings = cast(Settings, info)
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159 | self._me = self._settings.getID()
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160 |
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161 | # progress towards the deadline has to be tracked manually through the use of the Progress object
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162 | self._progress: ProgressRounds = self._settings.getProgress()
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163 |
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164 | # the profile contains the preferences of the agent over the domain
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165 | self._profile = ProfileConnectionFactory.create(
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166 | info.getProfile().getURI(), self.getReporter()
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167 | )
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168 | opponent = FrequencyOpponentModel.create()
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169 | opponent = opponent.With(self._profile.getProfile().getDomain(), None)
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170 | self._opponent = opponent
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171 | # ActionDone is an action send by an opponent (an offer or an accept)
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172 | elif isinstance(info, ActionDone):
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173 | action: Action = cast(ActionDone, info).getAction()
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174 |
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175 | # if it is an offer, set the last received bid
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176 | if isinstance(action, Offer):
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177 | self._opponentAction = action
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178 | self._last_received_bid = cast(Offer, action).getBid()
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179 | # YourTurn notifies you that it is your turn to act
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180 | elif isinstance(info, YourTurn):
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181 | action = self._myTurn()
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182 | if isinstance(self._progress, ProgressRounds):
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183 | self._progress = self._progress.advance()
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184 | self.getConnection().send(action)
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185 |
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186 | # Finished will be send if the negotiation has ended (through agreement or deadline)
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187 | elif isinstance(info, Finished):
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188 | # terminate the agent MUST BE CALLED
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189 | self.terminate()
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190 | else:
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191 | self.getReporter().log(
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192 | logging.WARNING, "Ignoring unknown info " + str(info)
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193 | )
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194 |
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195 | # lets the geniusweb system know what settings this agent can handle
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196 | # leave it as it is for this competition
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197 | def getCapabilities(self) -> Capabilities:
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198 | return Capabilities(
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199 | set(["SAOP"]),
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200 | set(["geniusweb.profile.utilityspace.LinearAdditive"]),
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201 | )
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202 |
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203 | # terminates the agent and its connections
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204 | # leave it as it is for this competition
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205 | def terminate(self):
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206 | self.getReporter().log(logging.INFO, "party is terminating:")
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207 | super().terminate()
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208 | if self._profile is not None:
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209 | self._profile.close()
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210 | self._profile = None
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211 |
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212 |
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213 |
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214 | # give a description of your agent
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215 | def getDescription(self) -> str:
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216 | return "Agent19"
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217 |
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218 | # execute a turn
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219 | def _myTurn(self):
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220 | # check if the last received offer if the opponent is good enough
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221 | self._opponent = self._opponent.WithAction(self._opponentAction, self._progress)
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222 | if self._isGood(self._last_received_bid):
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223 | # if so, accept the offer
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224 | action = Accept(self._me, self._last_received_bid)
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225 |
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226 | else:
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227 | # if not, find a bid to propose as counter offer
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228 | bid = self._findBid()
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229 |
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230 | b = self._opponent.getUtility(self._last_received_bid)
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231 | self.acceptinator.currentBid = bid
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232 |
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233 | # process the bid in the acceptinator
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234 | self.acceptinator.process_bid_utility(self._profile.getProfile().getUtility(bid), b)
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235 |
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236 |
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237 |
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238 |
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239 | action = Offer(self._me, bid)
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240 |
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241 | # send the action
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242 | return action
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243 |
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244 | # method that checks if we would agree with an offer
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245 | # method that checks if we would agree with an offer
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246 |
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247 | def _isGood(self, bid: Bid) -> bool:
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248 | if bid is None:
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249 | return False
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250 |
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251 | profile = self._profile.getProfile()
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252 |
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253 | progress = self._progress.get(1)
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254 |
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255 | if self.bestBid is None or profile.getUtility(bid) > profile.getUtility(self.bestBid):
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256 | self.bestBid = bid
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257 |
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258 | ##Update acceptinator
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259 | if self.acceptinator.currentBid is not None and self.acceptinator.is_bid_good_enough(profile.getUtility(self.acceptinator.currentBid),
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260 | profile.getUtility(bid), progress):
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261 | return True
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262 |
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263 | # very basic approach that accepts if the offer is valued above 0.6 and
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264 | # 80% of the rounds towards the deadline have passed
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265 | return profile.getUtility(bid) > 0.6 + 0.4 * (1 - progress)
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266 |
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267 | def _findBid(self) -> Bid:
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268 | # compose a list of all possible bids
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269 |
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270 | domain = self._profile.getProfile().getDomain()
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271 | profile = self._profile.getProfile()
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272 | progress = self._progress.get(1)
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273 |
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274 | if (self._sortedList == None):
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275 | """Sort the list. Highest utility first"""
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276 | all_bids = AllBidsList(domain)
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277 | self._sortedList = sorted(all_bids, key=functools.cmp_to_key(
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278 | lambda bid1, bid2: profile.getUtility(bid2) - profile.getUtility(bid1)))
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279 |
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280 | if (progress <= 0.2):
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281 | bestBids = [x for x in self._sortedList if (profile.getUtility(x) >= float(
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282 | profile.getUtility(self._sortedList[0])) * 0.95 and profile.getUtility(x) <= profile.getUtility(
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283 | self._sortedList[0]))]
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284 | bid = random.choice(bestBids)
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285 |
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286 | elif (progress > 0.2 and progress <= 0.3):
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287 |
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288 | bestBids = [x for x in self._sortedList if (profile.getUtility(x) >= float(
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289 | profile.getUtility(self._sortedList[0])) * 0.9 and profile.getUtility(x) <= profile.getUtility(
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290 | self._sortedList[0]))]
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291 | bid = random.choice(bestBids)
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292 |
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293 | elif (progress > 0.3 and progress <= 0.4):
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294 | bestBids = [x for x in self._sortedList if (profile.getUtility(x) >= float(
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295 | profile.getUtility(self._sortedList[0])) * 0.85 and profile.getUtility(x) <= profile.getUtility(
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296 | self._sortedList[0]))]
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297 | bid = random.choice(bestBids)
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298 |
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299 | elif (progress > 0.4 and progress <= 0.65):
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300 | if (self.bestBidsFirst == None):
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301 | bestBids = [x for x in self._sortedList if (profile.getUtility(x) >= float(
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302 | profile.getUtility(self._sortedList[0])) * 0.8 and profile.getUtility(x) < 0.95)]
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303 | self.bestBidsFirst = [x for x in bestBids if
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304 | (self._opponent.getUtility(x) >= 0.35 and self._opponent.getUtility(x) < 0.95)]
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305 | self.bestBidsFirst = sorted(self.bestBidsFirst, key=functools.cmp_to_key(
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306 | lambda bid1, bid2: self._opponent.getUtility(bid2) - self._opponent.getUtility(bid1)))
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307 | util = 0.35
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308 | while (len(self.bestBidsFirst) < 2):
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309 | self.bestBidsFirst = [x for x in bestBids if (
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310 | self._opponent.getUtility(x) >= util and self._opponent.getUtility(x) < 0.95)]
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311 | self.bestBidsFirst = sorted(self.bestBidsFirst, key=functools.cmp_to_key(
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312 | lambda bid1, bid2: self._opponent.getUtility(bid2) - self._opponent.getUtility(bid1)))
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313 | util = util - 0.01
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314 | length = len(self.bestBidsFirst)
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315 | counter = random.randint(0, length - 1)
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316 | bid = self.bestBidsFirst[counter]
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317 |
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318 | elif (progress > 0.65 and progress <= 0.8):
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319 | """Sort the list. Highest utility first and also consider opponents utility"""
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320 | if (self.bestBidsSecond == None):
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321 | bestBids = [x for x in self._sortedList if (profile.getUtility(x) >= float(
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322 | profile.getUtility(self._sortedList[0])) * 0.75 and profile.getUtility(x) < 0.95)]
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323 | self.bestBidsSecond = [x for x in bestBids if
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324 | (self._opponent.getUtility(x) >= 0.4 and self._opponent.getUtility(x) < 0.95)]
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325 | self.bestBidsSecond = sorted(self.bestBidsSecond, key=functools.cmp_to_key(
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326 | lambda bid1, bid2: self._opponent.getUtility(bid2) - self._opponent.getUtility(bid1)))
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327 | util = 0.45
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328 | while (len(self.bestBidsSecond) < 2):
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329 | """ Check if there are bids in bidspace according to our util and opponents. If there is not lower the util of the opponent """
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330 | self.bestBidsSecond = [x for x in bestBids if (
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331 | self._opponent.getUtility(x) >= util and self._opponent.getUtility(x) < 0.95)]
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332 | self.bestBidsSecond = sorted(self.bestBidsSecond, key=functools.cmp_to_key(
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333 | lambda bid1, bid2: self._opponent.getUtility(bid2) - self._opponent.getUtility(bid1)))
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334 | util = util - 0.025
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335 |
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336 | length = len(self.bestBidsSecond)
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337 | counter = random.randint(0, length - 1)
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338 | bid = self.bestBidsSecond[counter]
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339 | elif (progress > 0.8 and progress <= 0.95):
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340 | if (self.bestBidsThird == None):
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341 | bestBids = [x for x in self._sortedList if
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342 | (profile.getUtility(x) >= 0.65 and profile.getUtility(x) < 0.95)]
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343 | self.bestBidsThird = [x for x in bestBids if
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344 | (self._opponent.getUtility(x) >= 0.4 and self._opponent.getUtility(x) < 0.95)]
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345 | self.bestBidsThird = sorted(self.bestBidsThird, key=functools.cmp_to_key(
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346 | lambda bid1, bid2: self._opponent.getUtility(bid2) - self._opponent.getUtility(bid1)))
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347 | util = 0.5
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348 | while (len(self.bestBidsThird) < 2):
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349 | """ Check if there are bids in bidspace according to our util and opponents. If there is not lower the util of the opponent """
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350 | self.bestBidsThird = [x for x in bestBids if (
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351 | self._opponent.getUtility(x) >= util and self._opponent.getUtility(x) < 0.95)]
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352 | self.bestBidsThird = sorted(self.bestBidsThird, key=functools.cmp_to_key(
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353 | lambda bid1, bid2: self._opponent.getUtility(bid2) - self._opponent.getUtility(bid1)))
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354 | util = util - 0.025
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355 |
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356 | length = len(self.bestBidsThird)
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357 | counter = random.randint(0, length - 1)
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358 | bid = self.bestBidsThird[counter]
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359 | elif (progress > 0.95 and progress <= 0.99):
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360 | if (self.bestBidsFourth == None):
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361 | bestBids = [x for x in self._sortedList if
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362 | (profile.getUtility(x) >= 0.60 and profile.getUtility(x) < 0.95)]
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363 | self.bestBidsFourth = [x for x in bestBids if
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364 | (self._opponent.getUtility(x) >= 0.5 and self._opponent.getUtility(x) < 0.95)]
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365 | self.bestBidsFourth = sorted(self.bestBidsFourth, key=functools.cmp_to_key(
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366 | lambda bid1, bid2: self._opponent.getUtility(bid2) - self._opponent.getUtility(bid1)))
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367 | util = 0.5
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368 | while (len(self.bestBidsFourth) < 2):
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369 | """ Check if there are bids in bidspace according to our util and opponents. If there is not lower the util of the opponent """
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370 | self.bestBidsFourth = [x for x in bestBids if (
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371 | self._opponent.getUtility(x) >= util and self._opponent.getUtility(x) < 0.95)]
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372 | self.bestBidsFourth = sorted(self.bestBidsFourth, key=functools.cmp_to_key(
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373 | lambda bid1, bid2: self._opponent.getUtility(bid2) - self._opponent.getUtility(bid1)))
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374 | util = util - 0.025
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375 |
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376 | length = len(self.bestBidsFourth)
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377 | counter = random.randint(0, length - 1)
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378 | bid = self.bestBidsFourth[counter]
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379 |
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380 | else:
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381 | if (self.bestBidsFifth == None):
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382 | bestBids = [x for x in self._sortedList if
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383 | (profile.getUtility(x) >= 0.55 and profile.getUtility(x) < 0.95)]
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384 | self.bestBidsFifth = [x for x in bestBids if
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385 | (self._opponent.getUtility(x) >= 0.5 and self._opponent.getUtility(x) < 0.95)]
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386 | self.bestBidsFifth = sorted(self.bestBidsFifth, key=functools.cmp_to_key(
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387 | lambda bid1, bid2: self._opponent.getUtility(bid2) - self._opponent.getUtility(bid1)))
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388 | util = 0.55
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389 | while (len(self.bestBidsFifth) < 2):
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390 | """ Check if there are bids in bidspace according to our util and opponents. If there is not lower the util of the opponent """
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391 | self.bestBidsFifth = [x for x in bestBids if (
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392 | self._opponent.getUtility(x) >= util and self._opponent.getUtility(x) < 0.95)]
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393 | self.bestBidsFifth = sorted(self.bestBidsFifth, key=functools.cmp_to_key(
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394 | lambda bid1, bid2: self._opponent.getUtility(bid2) - self._opponent.getUtility(bid1)))
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395 | util = util - 0.025
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396 | length = len(self.bestBidsFifth)
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397 | counter = random.randint(0, length - 1)
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398 | bid = self.bestBidsFifth[counter]
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399 | return bid
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