from globalVals import BC_DIM, QUESTION_LIMIT, TRIALS
from regressionModel import MultipleRegressionJudge
import random


class FakeBCQuestion(object):

    def __init__(self, point, pointClass):
        self.point = point
        self.answer = pointClass


class FakeBCSubject(object):

    def __init__(self, classifier, initialRating=1200):
        self.classifier = classifier
        self.rating = initialRating

    def answerQuestion(self, fakeBCQuestion):
        return self.classifier.predict(fakeBCQuestion.point)[0]


class FakeBCCompetitor(object):

    def __init__(self, compid, questionBank, classifier, initialRating=1200):
        self.id = compid
        self.questionBank = questionBank
        self.classifier = classifier
        self.rating = initialRating
        self.judge = None
        self.subject = None
        self.totalCorrectAnswers = 0

    def initSubject(self):
        self.subject = FakeBCSubject(self.classifier, self.rating)

    def initJudge(self):
        self.judge = MultipleRegressionJudge(self.questionBank)

    def init(self):
        self.initSubject()
        self.initJudge()

    def createQuestionBank(self, limit=QUESTION_LIMIT):
        questionBank = []
        for _ in range(limit):
            questionPoint = tuple([random.random() for _ in range(BC_DIM)])
            questionClass = self.classifier.predict(questionPoint)[0]
            question = FakeBCQuestion(questionPoint, questionClass)
            questionBank.append(question)
        self.questionBank = questionBank
        return questionBank

    def finishCompetition(self, actualRating):
        self.judge.updatePriorModel(actualRating)

245169e380572b160a9997b5b824c17a97d94682
<mask token>


class FakeBCSubject(object):
    <mask token>
    <mask token>


class FakeBCCompetitor(object):

    def __init__(self, compid, questionBank, classifier, initialRating=1200):
        self.id = compid
        self.questionBank = questionBank
        self.classifier = classifier
        self.rating = initialRating
        self.judge = None
        self.subject = None
        self.totalCorrectAnswers = 0

    def initSubject(self):
        self.subject = FakeBCSubject(self.classifier, self.rating)

    def initJudge(self):
        self.judge = MultipleRegressionJudge(self.questionBank)

    def init(self):
        self.initSubject()
        self.initJudge()

    def createQuestionBank(self, limit=QUESTION_LIMIT):
        questionBank = []
        for _ in range(limit):
            questionPoint = tuple([random.random() for _ in range(BC_DIM)])
            questionClass = self.classifier.predict(questionPoint)[0]
            question = FakeBCQuestion(questionPoint, questionClass)
            questionBank.append(question)
        self.questionBank = questionBank
        return questionBank

    def finishCompetition(self, actualRating):
        self.judge.updatePriorModel(actualRating)

<mask token>


class FakeBCSubject(object):
    <mask token>

    def answerQuestion(self, fakeBCQuestion):
        return self.classifier.predict(fakeBCQuestion.point)[0]


class FakeBCCompetitor(object):

    def __init__(self, compid, questionBank, classifier, initialRating=1200):
        self.id = compid
        self.questionBank = questionBank
        self.classifier = classifier
        self.rating = initialRating
        self.judge = None
        self.subject = None
        self.totalCorrectAnswers = 0

    def initSubject(self):
        self.subject = FakeBCSubject(self.classifier, self.rating)

    def initJudge(self):
        self.judge = MultipleRegressionJudge(self.questionBank)

    def init(self):
        self.initSubject()
        self.initJudge()

    def createQuestionBank(self, limit=QUESTION_LIMIT):
        questionBank = []
        for _ in range(limit):
            questionPoint = tuple([random.random() for _ in range(BC_DIM)])
            questionClass = self.classifier.predict(questionPoint)[0]
            question = FakeBCQuestion(questionPoint, questionClass)
            questionBank.append(question)
        self.questionBank = questionBank
        return questionBank

    def finishCompetition(self, actualRating):
        self.judge.updatePriorModel(actualRating)

<mask token>


class FakeBCQuestion(object):
    <mask token>


class FakeBCSubject(object):

    def __init__(self, classifier, initialRating=1200):
        self.classifier = classifier
        self.rating = initialRating

    def answerQuestion(self, fakeBCQuestion):
        return self.classifier.predict(fakeBCQuestion.point)[0]


class FakeBCCompetitor(object):

    def __init__(self, compid, questionBank, classifier, initialRating=1200):
        self.id = compid
        self.questionBank = questionBank
        self.classifier = classifier
        self.rating = initialRating
        self.judge = None
        self.subject = None
        self.totalCorrectAnswers = 0

    def initSubject(self):
        self.subject = FakeBCSubject(self.classifier, self.rating)

    def initJudge(self):
        self.judge = MultipleRegressionJudge(self.questionBank)

    def init(self):
        self.initSubject()
        self.initJudge()

    def createQuestionBank(self, limit=QUESTION_LIMIT):
        questionBank = []
        for _ in range(limit):
            questionPoint = tuple([random.random() for _ in range(BC_DIM)])
            questionClass = self.classifier.predict(questionPoint)[0]
            question = FakeBCQuestion(questionPoint, questionClass)
            questionBank.append(question)
        self.questionBank = questionBank
        return questionBank

    def finishCompetition(self, actualRating):
        self.judge.updatePriorModel(actualRating)

from globalVals import BC_DIM, QUESTION_LIMIT, TRIALS
from regressionModel import MultipleRegressionJudge
import random


class FakeBCQuestion(object):

    def __init__(self, point, pointClass):
        self.point = point
        self.answer = pointClass


class FakeBCSubject(object):

    def __init__(self, classifier, initialRating=1200):
        self.classifier = classifier
        self.rating = initialRating

    def answerQuestion(self, fakeBCQuestion):
        return self.classifier.predict(fakeBCQuestion.point)[0]


class FakeBCCompetitor(object):

    def __init__(self, compid, questionBank, classifier, initialRating=1200):
        self.id = compid
        self.questionBank = questionBank
        self.classifier = classifier
        self.rating = initialRating
        self.judge = None
        self.subject = None
        self.totalCorrectAnswers = 0

    def initSubject(self):
        self.subject = FakeBCSubject(self.classifier, self.rating)

    def initJudge(self):
        self.judge = MultipleRegressionJudge(self.questionBank)

    def init(self):
        self.initSubject()
        self.initJudge()

    def createQuestionBank(self, limit=QUESTION_LIMIT):
        questionBank = []
        for _ in range(limit):
            questionPoint = tuple([random.random() for _ in range(BC_DIM)])
            questionClass = self.classifier.predict(questionPoint)[0]
            question = FakeBCQuestion(questionPoint, questionClass)
            questionBank.append(question)
        self.questionBank = questionBank
        return questionBank

    def finishCompetition(self, actualRating):
        self.judge.updatePriorModel(actualRating)
