from otree.api import Currency as c, currency_range, safe_json
from ._builtin import WaitPage, Page as oTreePage
from .models import Constants
import numpy as np
import random
import string
import re


#numbers for math quiz
numbers = np.array([3, 1, 6, 7, 4, 1, 2, 5, 6, 1, 6, 1, 1, 5, 1, 1, 2, 2, 4, 1, 3, 8, 4, 4, 4, 2, 4, 2, 3, 7, 4, 1, 6, 5, 4, 1, 3,
 3, 6, 1, 5, 2, 3, 5, 6, 2, 1, 1, 6, 5, 6, 8, 1, 6, 8, 2, 2, 3, 7, 2, 7, 4, 2, 7, 3, 2, 3, 5, 8, 2, 5, 7, 3, 1,
 6, 4, 8, 1, 3, 5, 3, 8, 5, 3,2,5,4,1,4,7,3,5,1,4,4,4,2,2,1,2,3,7,4,8,1,8,2,5,6,5,5
,1,2,1,8,8,7,1,4,3,3,6,8,7,1,7,1,1,6,4,7,2,5,6,8,8,8,4,1,6,3,4,2,2,8,5,8,7
,5,3,8,5,8,8,7,3,6,7,6,5,3,8,5,3,7,7,2,4,4,5,6,3,2,1,6,3,7,4,7,6,8,6,8,7,4
,3,6,8,8,7,5,1,4,1,5,3,5,4,2,4,3,4,6,3,1,3,3,6,4,3,5,6,2,4,4,6,2,5,5,5,6,4
,1,1,5,6,7,6,6,3,2,3,3,4,6,8,7,4,7,3,1,8,8,5,7,6,8,8,6,7,6,6,4,8,3,4,3,4,5
,4,8,8,6,3,8,5,7,3,6,4,7,6,6,8,2,3,6,5,3,8,5,6,4,1,3,6,8,4,5,8,3,2,3,7,1,6
,4,6,7,4,7,6,2,5,5,8,7,2,6,1,8,6,4,6,4,8,2,4,4,6,4,6,1,4,7,3,2,6,8,5,5,2,1
,2,2,8,1,6,4,5,7,6,3,6,6,2,2,2,1,4,4,1,3,8,8,6,3,6,3,8,8,2,5,1,4,7,7,7,8,5
,6,6,8,8,1,3,8,8,6,8,3,3,4,8,1,8,5,2,4,3,1,4,1,1,1,4,6,1,5,2,7,2,5,4,6,1,8
,5,3,7,7,1,6,8,8,6,2,5,6,2,6,8,6,2,5,1,1,6,3,3,6,4,4,7,7,8,4,4,3,8,7,2,3,4
,8,4,3,2,5,8,4,7,5,1,6,6,6,2,1,4,5,7,1,5,3,2,4,2,1,2,3,6,7,5,6,6,4,4,5,3,5
,7,8,4,4,1,2,7,8,1,5,3,4,3,4,2,2,5,3,6])


#Different scenarios in a list
## 0: Relative Default: Equal factors on initial wealth
## 1: Absolute Default: Equal income added to initial wealth
## 2: Advantage Rich: Higher factors and income for rich.
## 3: Advantage Poor: Higher income and factors for poor.
## 4: Intermediate: Higher factors for poor, higher income for rich.
decision_type_arr = ["RelativeDefault", "AbsoluteDefault", "AdvantageRich", "AdvantagePoor", "Intermediate", "EqualWealth"]
#decision_type_arr = ["RelativeDefault", "AbsoluteDefault", "AdvantageRich", "AdvantagePoor", "Intermediate", "EqualWealth", "RelativeDefaultHigh", "AbsoluteDefaultHigh"]

#p1_initial_wealth_arr = np.array(6*[3.5])
#p1_initial_wealth_arr = np.array(8*[3.5])


#p1_income_arr = np.array([3.5,2.5,4.5,0.5,3.0,1.5])
#p1_income_arr = np.array([3.5,2.5,4.5,0.5,3.0,1.5, 7.0, 5.0])


#p1_income_arr = np.array(5*[7.0])

#p1_final_wealth_arr = p1_initial_wealth_arr + p1_income_arr

#p1_factor_arr = np.array([round(p1_final_wealth_arr[i]/p1_initial_wealth_arr[i], 2) for i in [0,1,2,3,4,5]])

#p2_initial_wealth_arr = np.array(6*[1.5])
#p2_initial_wealth_arr = np.array(8*[1.5])


#p2_income_arr = np.array([1.5,2.5,0.5,4.5,2.0, 3.5])
#p2_income_arr = np.array([1.5,2.5,0.5,4.5,2.0, 3.5, 3.0, 5.0])


#p2_income_arr = np.array(5*[5.0])

#p2_final_wealth_arr = p2_initial_wealth_arr + p2_income_arr

#p2_factor_arr = np.array([round(p2_final_wealth_arr[i]/p2_initial_wealth_arr[i], 2) for i in [0,1,2,3,4,5]])

additional_sum_arr = np.array([3., 3., 5., 5., 5., 4., 3., 5., 3., 5., 3., 4., 4., 4., 5., 4., 4.,
       4., 3., 4., 4., 3., 4., 3., 4., 3., 4., 3., 3., 4., 3., 3., 3., 4.,
       3., 3., 3., 4., 3., 4., 5., 4., 5., 3., 3., 4., 3., 4., 3., 4., 5.,
       3., 3., 3., 3., 4., 5., 4., 5., 3., 5., 3., 4., 4., 3., 4., 3., 4.,
       5., 3., 5., 5., 4., 4., 3., 4., 4., 3., 5., 3., 3., 5., 3., 4., 3.,
       3., 5., 3., 5., 3., 5., 3., 5., 4., 5., 5., 3., 5., 3., 3., 5., 4.,
       4., 3., 3., 5., 3., 3., 3., 3., 4., 5., 3., 4., 4., 4., 5., 5., 3.,
       5., 5., 5., 4., 4., 5., 5., 5., 3., 4., 5., 3., 3., 4., 4., 5., 3.,
       5., 5., 3., 3., 5., 3., 4., 5., 5., 5., 3., 5., 4., 4., 4., 4., 4.,
       3., 4., 5., 3., 4., 5., 3., 4., 5., 3., 5., 4., 4., 4., 5., 4., 4.,
       5., 4., 5., 4., 3., 5., 4., 4., 4., 5., 4., 5., 4., 3., 3., 4., 4.,
       3., 4., 3., 5., 3., 5., 3., 4., 5., 4., 5., 3., 5., 3., 5., 4., 5.,
       5., 5., 3., 4., 4., 5., 4., 4., 3., 4., 5., 3., 5., 5., 4., 5., 3.,
       3., 5., 5., 3., 4., 5., 3., 3., 5., 5., 5., 3., 5., 4., 3., 3., 3.,
       3., 4., 5., 5., 4., 4., 4., 4., 4., 5., 3., 5., 4., 5., 3., 5., 4.,
       3., 3., 5., 4., 3., 3., 5., 5., 4., 5., 3., 4., 3., 5., 4., 3., 4.,
       3., 3., 5., 5., 3., 3., 3., 3., 4., 5., 4., 4., 3., 4., 5., 5., 5.,
       4., 4., 4., 5., 4., 5., 4., 3., 3., 5., 5., 4., 4., 3., 4., 5., 4.,
       4., 3., 4., 3., 3., 4., 3., 5., 3., 5., 5., 5., 5., 5., 5., 4., 5.,
       3., 3., 5., 5., 3., 5., 3., 5., 4., 5., 4., 4., 5., 4., 5., 5., 5.,
       3., 5., 3., 4., 5., 5., 4., 3., 3., 3., 5., 4., 4., 3., 4., 5., 4.,
       3., 3., 5., 4., 4., 3., 5., 3., 4., 5., 3., 3., 5., 5., 5., 5., 4.,
       4., 5., 5., 4., 4., 4., 3., 4., 3., 4., 3., 5., 4., 4., 5., 4., 4.,
       3., 4., 4., 3., 3., 5., 4., 3., 3., 5., 4., 5., 3., 4., 3., 4., 5.,
       3., 3., 5., 3., 3., 4., 4., 3., 4., 4., 3., 4., 4., 4., 4., 4., 5.,
       5., 5., 4., 4., 3., 5., 5., 5., 5., 5., 4., 3., 3., 4., 4., 3., 4.,
       3., 5., 3., 4., 5., 3., 3., 3., 4., 5., 3., 4., 4., 3., 5., 5., 4.,
       3., 5., 5., 4., 5., 4., 4., 3., 5., 5., 5., 3., 4., 5., 4., 4., 3.,
       3., 5., 3., 3., 5., 4., 3., 3., 4., 4., 3., 5., 5., 3., 5., 4., 4.,
       3., 3., 3., 3., 5., 3., 5., 5., 4., 3., 5., 5., 5., 4., 4., 4., 4.,
       5., 5., 3., 4., 4., 4., 5., 5., 4., 3., 4., 3., 5., 5., 4., 4., 5.,
       4., 3., 3., 3., 3., 3., 5., 5., 4., 3., 3., 3., 5., 5., 3., 5., 3.,
       4., 4., 3., 4., 5., 5., 3., 4., 5., 3., 3., 5., 4., 4., 5., 4., 5.,
       3., 5., 4., 3., 5., 5., 5., 5., 3., 4., 5., 4., 4., 5., 4., 5., 3.,
       3., 3., 4., 5., 3., 3., 3., 3., 5., 5., 4., 5., 5., 5., 5., 3., 4.,
       4., 3., 5., 4., 3.])


p1_prize_arr = np.array([3. , 3. , 4. , 3. , 3.5, 3.5, 4. , 4. , 4. , 4. , 3. , 4. , 4. ,
       3.5, 4. , 4. , 4. , 3.5, 3. , 3. , 4. , 4. , 3.5, 3. , 3. , 4. ,
       4. , 3. , 3.5, 4. , 4. , 3.5, 4. , 4. , 4. , 3. , 3.5, 3.5, 4. ,
       4. , 4. , 4. , 4. , 4. , 4. , 3. , 4. , 3. , 3.5, 3. , 3.5, 3.5,
       4. , 3.5, 3.5, 3. , 4. , 4. , 3.5, 3. , 3. , 4. , 3.5, 3. , 3.5,
       3. , 3.5, 3.5, 3. , 3. , 3.5, 4. , 4. , 3. , 3.5, 3.5, 3. , 4. ,
       3.5, 4. , 3.5, 4. , 4. , 3.5, 3. , 3. , 3.5, 4. , 3.5, 4. , 3.5,
       3.5, 3. , 3. , 3.5, 3. , 3.5, 3.5, 3. , 3.5, 3. , 3.5, 3.5, 3.5,
       4. , 3. , 4. , 4. , 3.5, 3.5, 3. , 3.5, 3.5, 4. , 4. , 3.5, 4. ,
       3. , 4. , 3.5, 3.5, 3.5, 3.5, 4. , 3. , 3. , 4. , 4. , 3. , 3. ,
       3. , 3.5, 3. , 3.5, 4. , 3.5, 3. , 3. , 3. , 3. , 4. , 3.5, 3. ,
       3.5, 3. , 4. , 3.5, 3.5, 3. , 4. , 4. , 4. , 4. , 3. , 3.5, 4. ,
       4. , 3.5, 4. , 3.5, 3.5, 4. , 3.5, 3. , 4. , 3. , 3. , 3.5, 3. ,
       3. , 3.5, 4. , 3. , 4. , 4. , 3. , 3.5, 3. , 3. , 3.5, 3. , 3.5,
       4. , 3. , 3.5, 3. , 3.5, 3. , 3.5, 3.5, 3.5, 3.5, 3.5, 3. , 3. ,
       3. , 3.5, 3.5, 3.5, 3. , 3.5, 3.5, 4. , 4. , 4. , 3. , 3. , 4. ,
       3.5, 3.5, 4. , 3.5, 3.5, 4. , 3.5, 3.5, 3. , 3. , 3.5, 4. , 3.5,
       3.5, 3.5, 3. , 3. , 3. , 3.5, 3.5, 4. , 3.5, 3. , 4. , 3. , 3. ,
       4. , 3. , 3.5, 3.5, 3. , 4. , 3. , 3.5, 3. , 3. , 3.5, 3.5, 3.5,
       4. , 3. , 4. , 3.5, 3.5, 3. , 4. , 3. , 3. , 3.5, 3.5, 3.5, 4. ,
       3.5, 4. , 4. , 3. , 3.5, 3. , 4. , 4. , 3. , 3.5, 4. , 3. , 3. ,
       4. , 3. , 3.5, 3. , 3.5, 3.5, 4. , 3.5, 3.5, 3.5, 3.5, 4. , 3. ,
       3.5, 4. , 4. , 3.5, 3.5, 4. , 3. , 4. , 3. , 3. , 4. , 3.5, 4. ,
       3.5, 3. , 3. , 3. , 3. , 4. , 3. , 4. , 3. , 3. , 4. , 4. , 4. ,
       3.5, 3.5, 3. , 4. , 3.5, 3.5, 3. , 4. , 4. , 3.5, 4. , 3. , 4. ,
       3. , 3. , 4. , 4. , 3. , 3.5, 4. , 4. , 3. , 3. , 4. , 4. , 4. ,
       3.5, 4. , 3.5, 4. , 4. , 3.5, 3. , 4. , 4. , 3. , 3. , 4. , 3. ,
       3. , 3. , 4. , 4. , 3. , 4. , 4. , 3. , 4. , 4. , 3. , 3. , 4. ,
       4. , 3. , 3.5, 3. , 3.5, 3. , 3. , 3. , 3.5, 3.5, 3.5, 4. , 4. ,
       3.5, 4. , 4. , 4. , 3.5, 3. , 4. , 3.5, 3.5, 4. , 3.5, 4. , 3.5,
       3.5, 4. , 3.5, 4. , 3.5, 3.5, 3. , 3. , 3. , 3.5, 4. , 4. , 3. ,
       4. , 4. , 3.5, 3.5, 3. , 3. , 3. , 3. , 4. , 3.5, 4. , 3. , 4. ,
       3.5, 4. , 4. , 3. , 3.5, 3. , 4. , 4. , 4. , 3. , 3.5, 4. , 3.5,
       3. , 4. , 3.5, 3.5, 3. , 4. , 3. , 3. , 4. , 3.5, 3.5, 3. , 3. ,
       3.5, 3.5, 3.5, 3. , 3. , 4. , 3.5, 3. , 3. , 3.5, 3.5, 4. , 4. ,
       4. , 3. , 3. , 3. , 3. , 4. , 3.5, 4. , 3. , 4. , 3. , 3.5, 3.5,
       3. , 4. , 4. , 4. , 4. , 3. , 3.5, 3.5, 3. , 4. , 3. , 3.5, 3. ,
       3.5, 3.5, 3. , 3.5, 3. , 3.5, 4. , 4. , 4. , 3. , 3. , 4. , 4. ,
       3. , 4. , 4. , 3.5, 3. , 4. , 3. , 4. , 3.5, 3.5, 3. , 4. , 3. ,
       4. , 3.5, 3. , 3.5, 3.5, 4. , 4. , 3. , 3.5, 3.5, 3.5, 3. , 4. ,
       3.5, 3.5, 3. , 3. , 4. , 3. , 3. , 3. , 3.5, 3.5, 4. , 3.5, 4. ,
       4. , 3.5, 3. , 4. , 3. , 3. , 3. , 3.5, 3.5, 3.5, 3. , 3. , 3. ,
       4. , 4. , 4. , 4. , 3.5, 4. , 3. , 4. , 3. , 3. , 4. , 3. , 3. ,
       3.5, 3.5, 3.5, 3. , 3. , 3. , 3. , 3. , 4. , 3.5, 3.5, 4. , 3. ,
       4. , 3.5, 3.5, 4. , 4. , 3. , 4. , 3.5, 3.5, 3. , 3.5, 3. , 3.5,
       3. , 4. , 4. , 3.5, 3.5, 3. , 4. , 3.5, 3.5, 3.5, 3. , 3. , 3. ,
       4. , 4. ])



four_decision_type_arr = ["RelativeDefault, AbsoluteDefault, EqualWealth, AdvantageRich",
"RelativeDefault, AbsoluteDefault, EqualWealth, AdvantagePoor",
"RelativeDefault, AbsoluteDefault, EqualWealth, Intermediate",
"RelativeDefault, AbsoluteDefault, AdvantagePoor, AdvantageRich",
"RelativeDefault, AbsoluteDefault, Intermediate, AdvantageRich",
"RelativeDefault, AbsoluteDefault, Intermediate, AdvantagePoor"]



def absolute_default_proposition(prize_1, prize_2, additional_sum):

    proposed_income_1 = additional_sum / 2
    proposed_income_2 = additional_sum / 2

    return np.round(proposed_income_1, 2), np.round(proposed_income_2, 2)

def relative_default_proposition(prize_1, prize_2, additional_sum):

    proposed_income_1 = ((prize_1)/(prize_1 + prize_2))*additional_sum
    proposed_income_2 = additional_sum - proposed_income_1

    return np.round(proposed_income_1, 2), np.round(proposed_income_2, 2)


def advantage_rich_proposition(prize_1, prize_2, additional_sum):

    proposed_income_1 = ((1/3)*(prize_1)/(prize_1 + prize_2)+(2/3)*1)*additional_sum
    proposed_income_2 = additional_sum - proposed_income_1

    return np.round(proposed_income_1, 2), np.round(proposed_income_2, 2)


def advantage_poor_proposition(prize_1, prize_2, additional_sum):

    proposed_income_1 = ((1/7)*(prize_1)/(prize_1 + prize_2)+(6/7)*0)*additional_sum
    proposed_income_2 = additional_sum - proposed_income_1

    return np.round(proposed_income_1, 2), np.round(proposed_income_2, 2)

def intermediate_proposition(prize_1, prize_2, additional_sum):

    if prize_1 != 3:

        proposed_income_1 = (3/5)*additional_sum
        proposed_income_2 = additional_sum - proposed_income_1

    else:
        proposed_income_1 = (3/5-0.05)*additional_sum
        proposed_income_2 = additional_sum - proposed_income_1

    return np.round(proposed_income_1, 2), np.round(proposed_income_2, 2)

def equal_wealth_proposition(prize_1, prize_2, additional_sum):

    proposed_income_1 = 0.5*(additional_sum + prize_2 - prize_1)
    proposed_income_2 = additional_sum - proposed_income_1

    return np.round(proposed_income_1, 2), np.round(proposed_income_2, 2)

def proposition(prize_1, prize_2, additional_sum, decision_type):

    if decision_type == "AbsoluteDefault":

        return absolute_default_proposition(prize_1, prize_2, additional_sum)

    if decision_type == "RelativeDefault":

        return relative_default_proposition(prize_1, prize_2, additional_sum)

    if decision_type == "AdvantageRich":

        return advantage_rich_proposition(prize_1, prize_2, additional_sum)

    if decision_type == "AdvantagePoor":

        return advantage_poor_proposition(prize_1, prize_2, additional_sum)

    if decision_type == "Intermediate":

        return intermediate_proposition(prize_1, prize_2, additional_sum)

    if decision_type == "EqualWealth":

        return equal_wealth_proposition(prize_1, prize_2, additional_sum)




class Page(oTreePage):
    def get_progress(self):
        totpages = self.participant._max_page_index
        curpage = self.participant._index_in_pages
        return f"{curpage / totpages * 100:.0f}"


class Welcome(Page):
    form_model = 'player'
    form_fields = ['name', 'email', 'iban', 'bic']

    def is_displayed(self):

        return (self.player.round_number == 1)


    def error_message(self, values):


        ###IBAN VALIDIERUNG BEGINNT HIER
        valid_codes = ["AL", "AT", "BE", "BG", "CH", "CH", "CY", "CZ", "DE", "DK",
                      "EE", "ES", "FI", "FR", "GB", "GR", "HR", "HU",
                      "IE", "IS", "IT", "LI", "LT", "LU", "LV", "MC",
                      "MT", "NL", "NO", "PL", "PT", "RO", "SE", "SI",
                      "SK", "SM"]


        len_dict = {"AT": 20, "EE": 20, "LT": 20, "LU": 20, "BE": 16, "BG": 22, "DE": 22, "GB": 22,
                   "IE": 22, "CH": 21, "HR": 21, "LI": 21, "LV": 21, "CY": 28, "HU": 28, "PL": 28,
                   "CZ": 24, "ES": 24, "RO": 24, "SE": 24, "SK": 24, "DK": 18, "FI": 18, "NL": 18,
                   "FR": 27, "GR": 27, "IT": 27, "MC": 27, "SM": 27, "IS": 26, "MT": 31, "NO": 15,
                   "PT": 25, "SI": 19, "AL": 28}


        LETTERS = {ord(d): str(i) for i, d in enumerate(string.digits + string.ascii_uppercase)}

        iban = values["iban"]

        IBAN = iban.upper()

        IBAN = IBAN.replace(" ", "")

        c1 = False
        c2 = False
        c3 = False
        c4 = False

        country = IBAN[0:2]

        c1 = country in valid_codes

        if c1:

            c2 = len_dict[country] == len(IBAN)

        if c1 and c2:


            temp = IBAN[:2] + '00' + IBAN[4:]

            number_iban = (temp[4:] + temp[:4]).translate(LETTERS)


            check_digits = '{:0>2}'.format(98 - (int(number_iban) % 97))

            c3 = check_digits == IBAN[2:4]

        if c1 and c2 and c3:

            _number_iban = (IBAN[4:] + IBAN[:4]).translate(LETTERS)

            c4 = int(_number_iban) % 97 == 1

        if not (c1 and c2 and c3 and c4):
            return "Die von Ihnen angegebene IBAN ist nicht gültig. Bitte überprüfen Sie Ihre Eingabe."

        #check no small letters in iban
        for c in values["iban"]:
            if c.islower():
                return "Die von Ihnen angegebene IBAN enthält Kleinbuchstaben."

        ###IBAN VALIDIERUNG ENDET HIER

        #check basic @ structure in email
        if(re.match("[^@]+@[^@]+\.[^@]+", values["email"]) == None):
            return "Die von Ihnen eingegebene E-Mail-Adresse ist ungültig."

        #check no spaces in email address
        if (' ' in values["email"]) == True:
            return "Die von Ihnen eingegebene E-Mail-Adresse enthält Leerzeichen."

        #valide BIC code
        if(re.match('([a-zA-Z]{4}[a-zA-Z]{2}[a-zA-Z0-9]{2}([a-zA-Z0-9]{3})?)', values["bic"]) == None):
            return "Der von Ihnen eingegebene BIC-Code ist ungültig."



    def before_next_page(self):
        #EDIT THIS SO WELCOME PAGE IN LATER ROUNDS BECOMES OBSOLETE
        #SET ALL VARIABLES FOR ALL ROUNDS IN THE FIRST ROUND

        p = self.player

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)


        self.participant.vars['iban'] = p.iban

        indices = [0,1,2,3,4,5,6,7,8]
        decision_indices = [0,1,2,3,4,5]
        random.shuffle(indices)
        random.shuffle(decision_indices)

        realized_bool = bool(np.random.binomial(n=1, p=0.2))

        if realized_bool is True:
            realized_stage = random.randint(1, len(decision_type_arr))

        else:
            realized_stage = -1

        self.participant.vars['realized_bool'] = realized_bool
        self.participant.vars['realized_stage'] = realized_stage



        prize_1_array = np.array([3.0, 3.0, 3.0,
                                3.5, 3.5, 3.5,
                                4.0, 4.0, 4.0,])

        add_sum_array = np.array([4.0, 4.0, 4.0,
                                5.0, 5.0, 5.0,
                                6.0, 6.0, 6.0])





        decision_array = ["RelativeDefault, AbsoluteDefault, EqualWealth, AdvantageRich",
        "RelativeDefault, AbsoluteDefault, EqualWealth, AdvantagePoor",
        "RelativeDefault, AbsoluteDefault, EqualWealth, Intermediate",
        "RelativeDefault, AbsoluteDefault, AdvantagePoor, AdvantageRich",
        "RelativeDefault, AbsoluteDefault, Intermediate, AdvantageRich",
        "RelativeDefault, AbsoluteDefault, Intermediate, AdvantagePoor"]

        random.shuffle(decision_array)
        random.shuffle(prize_1_array)
        random.shuffle(add_sum_array)

        for r in [1,2,3,4,5,6,7,8,9]:


            #assign treatments
            if p.id_in_group % 2 == 0:

                p.in_round(r).treatment = "Relative"

            if p.id_in_group % 2 == 1:

                p.in_round(r).treatment = "Absolute"


            index = indices[r-1]
            if 2<r<9:
                decision_index=decision_indices[r-3]

            p.in_round(r).p1_prize = prize_1_array[index]
            p.in_round(r).p2_prize = 5 - prize_1_array[index]

            p.in_round(r).p1_income_RelativeDefault, p.in_round(r).p2_income_RelativeDefault = proposition(p.in_round(r).p1_prize,
                                                                                                           p.in_round(r).p2_prize,
                                                                                                           add_sum_array[index],
                                                                                                           "RelativeDefault")

            p.in_round(r).p1_income_AbsoluteDefault, p.in_round(r).p2_income_AbsoluteDefault = proposition(p.in_round(r).p1_prize,
                                                                                                           p.in_round(r).p2_prize,
                                                                                                           add_sum_array[index],
                                                                                                           "AbsoluteDefault")

            p.in_round(r).p1_income_AdvantageRich, p.in_round(r).p2_income_AdvantageRich = proposition(p.in_round(r).p1_prize,
                                                                                                           p.in_round(r).p2_prize,
                                                                                                           add_sum_array[index],
                                                                                                           "AdvantageRich")

            p.in_round(r).p1_income_AdvantagePoor, p.in_round(r).p2_income_AdvantagePoor = proposition(p.in_round(r).p1_prize,
                                                                                                           p.in_round(r).p2_prize,
                                                                                                           add_sum_array[index],
                                                                                                           "AdvantagePoor")


            p.in_round(r).p1_income_Intermediate, p.in_round(r).p2_income_Intermediate = proposition(p.in_round(r).p1_prize,
                                                                                                           p.in_round(r).p2_prize,
                                                                                                           add_sum_array[index],
                                                                                                           "Intermediate")

            p.in_round(r).p1_income_EqualWealth, p.in_round(r).p2_income_EqualWealth = proposition(p.in_round(r).p1_prize,
                                                                                                           p.in_round(r).p2_prize,
                                                                                                           add_sum_array[index],
                                                                                                           "EqualWealth")



            p.in_round(r).p1_wealth_RelativeDefault = p.in_round(r).p1_prize + p.in_round(r).p1_income_RelativeDefault
            p.in_round(r).p2_wealth_RelativeDefault = p.in_round(r).p2_prize + p.in_round(r).p2_income_RelativeDefault

            p.in_round(r).p1_wealth_AbsoluteDefault = p.in_round(r).p1_prize + p.in_round(r).p1_income_AbsoluteDefault
            p.in_round(r).p2_wealth_AbsoluteDefault = p.in_round(r).p2_prize + p.in_round(r).p2_income_AbsoluteDefault

            p.in_round(r).p1_wealth_AdvantageRich = p.in_round(r).p1_prize + p.in_round(r).p1_income_AdvantageRich
            p.in_round(r).p2_wealth_AdvantageRich = p.in_round(r).p2_prize + p.in_round(r).p2_income_AdvantageRich

            p.in_round(r).p1_wealth_AdvantagePoor = p.in_round(r).p1_prize + p.in_round(r).p1_income_AdvantagePoor
            p.in_round(r).p2_wealth_AdvantagePoor = p.in_round(r).p2_prize + p.in_round(r).p2_income_AdvantagePoor

            p.in_round(r).p1_wealth_Intermediate = p.in_round(r).p1_prize + p.in_round(r).p1_income_Intermediate
            p.in_round(r).p2_wealth_Intermediate = p.in_round(r).p2_prize + p.in_round(r).p2_income_Intermediate

            p.in_round(r).p1_wealth_EqualWealth = p.in_round(r).p1_prize + p.in_round(r).p1_income_EqualWealth
            p.in_round(r).p2_wealth_EqualWealth = p.in_round(r).p2_prize + p.in_round(r).p2_income_EqualWealth


            p.in_round(r).p1_factor_RelativeDefault = np.float(p.in_round(r).p1_wealth_RelativeDefault / p.in_round(r).p1_prize)
            p.in_round(r).p2_factor_RelativeDefault = np.float(p.in_round(r).p2_wealth_RelativeDefault / p.in_round(r).p2_prize)

            p.in_round(r).p1_factor_AbsoluteDefault = np.float(p.in_round(r).p1_wealth_AbsoluteDefault / p.in_round(r).p1_prize)
            p.in_round(r).p2_factor_AbsoluteDefault = np.float(p.in_round(r).p2_wealth_AbsoluteDefault / p.in_round(r).p2_prize)

            p.in_round(r).p1_factor_AdvantageRich = np.float(p.in_round(r).p1_wealth_AdvantageRich / p.in_round(r).p1_prize)
            p.in_round(r).p2_factor_AdvantageRich = np.float(p.in_round(r).p2_wealth_AdvantageRich / p.in_round(r).p2_prize)

            p.in_round(r).p1_factor_AdvantagePoor = np.float(p.in_round(r).p1_wealth_AdvantagePoor / p.in_round(r).p1_prize)
            p.in_round(r).p2_factor_AdvantagePoor = np.float(p.in_round(r).p2_wealth_AdvantagePoor / p.in_round(r).p2_prize)

            p.in_round(r).p1_factor_Intermediate = np.float(p.in_round(r).p1_wealth_Intermediate / p.in_round(r).p1_prize)
            p.in_round(r).p2_factor_Intermediate = np.float(p.in_round(r).p2_wealth_Intermediate / p.in_round(r).p2_prize)

            p.in_round(r).p1_factor_EqualWealth = np.float(p.in_round(r).p1_wealth_EqualWealth / p.in_round(r).p1_prize)
            p.in_round(r).p2_factor_EqualWealth = np.float(p.in_round(r).p2_wealth_EqualWealth / p.in_round(r).p2_prize)

            if r == 1:
                p.in_round(r).decisions = "RelativeDefault, AbsoluteDefault"

            if r == 2:
                p.in_round(r).decisions = "RelativeDefault, AbsoluteDefault, EqualWealth"

            if 2 < r < 9:
                p.in_round(r).decisions = decision_array[decision_index]


class Introduction_Quiz(Page):

    def is_displayed(self):
        return (self.player.round_number == 1)

    def before_next_page(self):

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)


    def vars_for_template(self):
        return {'progress': self.player.progress}


class Introduction_Calibration(Page):

    def is_displayed(self):
        return (self.player.round_number == 9)

    def before_next_page(self):

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)


    def vars_for_template(self):
        return {'progress': self.player.progress}


class Comprehension_Quiz(Page):
    form_model = 'player'
    form_fields = ['comprehension_tries_quiz_1', 'comprehension_tries_quiz_2',]

    def is_displayed(self):
        return (self.player.round_number == 1)

    def before_next_page(self):
        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)

    def vars_for_template(self):
        return {'progress': self.player.progress}

class Ready(Page):

    def is_displayed(self):
        return (self.player.round_number == 1)



    def before_next_page(self):

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)

    def vars_for_template(self):
        return {'progress': self.player.progress}

class Quiz(Page):

    timeout_seconds = 120
    form_model = 'player'
    form_fields = ['score']

    def vars_for_template(self):
        return {'progress': self.player.progress}

    def before_next_page(self):

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)

    def vars_for_template(self):
        return {'score': self.player.score}

    def is_displayed(self):
        return (self.player.round_number == 1)

    @staticmethod
    def live_method(player, data):

        print(data)

        player.score = data["live_score"]




class Introduction_Decision(Page):

    form_model = 'player'

    def is_displayed(self):
        return (self.player.round_number == 1)

    def before_next_page(self):

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)

    def vars_for_template(self):
        return {'progress': self.player.progress}

class Comprehension(Page):
    form_model = 'player'
    form_fields = ['comprehension_tries_1', 'comprehension_tries_2', 'comprehension_tries_3', 'comprehension_tries_4']

    def is_displayed(self):
        return (self.player.round_number == 1)

    def before_next_page(self):
        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)

    def vars_for_template(self):
        return {'progress': safe_json(self.player.progress),
                'treatment': safe_json(self.player.treatment)}


class Decision(Page):
    form_model = 'player'
    form_fields = ['choice']

    def is_displayed(self):
        return (self.player.round_number in [3,4,5,6,7,8])

    def vars_for_template(self):
        return {'p1_prize': safe_json(self.player.p1_prize),
                'p2_prize': safe_json(self.player.p2_prize),
                'p1_income_RelativeDefault': safe_json(self.player.p1_income_RelativeDefault),
                'p1_income_AbsoluteDefault': safe_json(self.player.p1_income_AbsoluteDefault),
                'p1_income_AdvantagePoor': safe_json(self.player.p1_income_AdvantagePoor),
                'p1_income_AdvantageRich': safe_json(self.player.p1_income_AdvantageRich),
                'p1_income_Intermediate': safe_json(self.player.p1_income_Intermediate),
                'p1_income_EqualWealth': safe_json(self.player.p1_income_EqualWealth),
                'p2_income_RelativeDefault': safe_json(self.player.p2_income_RelativeDefault),
                'p2_income_AbsoluteDefault': safe_json(self.player.p2_income_AbsoluteDefault),
                'p2_income_AdvantagePoor': safe_json(self.player.p2_income_AdvantagePoor),
                'p2_income_AdvantageRich': safe_json(self.player.p2_income_AdvantageRich),
                'p2_income_Intermediate': safe_json(self.player.p2_income_Intermediate),
                'p2_income_EqualWealth': safe_json(self.player.p2_income_EqualWealth),
                'decisions' : safe_json(self.player.decisions),
                'progress': self.player.progress}



    def before_next_page(self):

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)

        p = self.player

        if p.choice == "RelativeDefault":

            p.p1_income = p.p1_income_RelativeDefault
            p.p2_income = p.p2_income_RelativeDefault

            p.p1_wealth = p.p1_wealth_RelativeDefault
            p.p2_wealth = p.p2_wealth_RelativeDefault

        if p.choice == "AbsoluteDefault":

            p.p1_income = p.p1_income_AbsoluteDefault
            p.p2_income = p.p2_income_AbsoluteDefault

            p.p1_wealth = p.p1_wealth_AbsoluteDefault
            p.p2_wealth = p.p2_wealth_AbsoluteDefault

        if p.choice == "AdvantagePoor":

            p.p1_income = p.p1_income_AdvantagePoor
            p.p2_income = p.p2_income_AdvantagePoor

            p.p1_wealth = p.p1_wealth_AdvantagePoor
            p.p2_wealth = p.p2_wealth_AdvantagePoor

        if p.choice == "AdvantageRich":

            p.p1_income = p.p1_income_AdvantageRich
            p.p2_income = p.p2_income_AdvantageRich

            p.p1_wealth = p.p1_wealth_AdvantageRich
            p.p2_wealth = p.p2_wealth_AdvantageRich

        if p.choice == "Intermediate":

            p.p1_income = p.p1_income_Intermediate
            p.p2_income = p.p2_income_Intermediate

            p.p1_wealth = p.p1_wealth_Intermediate
            p.p2_wealth = p.p2_wealth_Intermediate

        if p.choice == "EqualWealth":

            p.p1_income = p.p1_income_EqualWealth
            p.p2_income = p.p2_income_EqualWealth

            p.p1_wealth = p.p1_wealth_EqualWealth
            p.p2_wealth = p.p2_wealth_EqualWealth

class DualDecision(Page):
    form_model = 'player'
    form_fields = ['choice']

    def is_displayed(self):
        return (self.player.round_number ==1)

    def vars_for_template(self):
        return {'p1_prize': safe_json(self.player.p1_prize),
                'p2_prize': safe_json(self.player.p2_prize),
                'p1_income_RelativeDefault': safe_json(self.player.p1_income_RelativeDefault),
                'p1_income_AbsoluteDefault': safe_json(self.player.p1_income_AbsoluteDefault),
                'p2_income_RelativeDefault': safe_json(self.player.p2_income_RelativeDefault),
                'p2_income_AbsoluteDefault': safe_json(self.player.p2_income_AbsoluteDefault),
                'decisions' : safe_json(self.player.decisions),
                'progress': self.player.progress}



    def before_next_page(self):

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)

        p = self.player

        if p.choice == "RelativeDefault":

            p.p1_income = p.p1_income_RelativeDefault
            p.p2_income = p.p2_income_RelativeDefault

            p.p1_wealth = p.p1_wealth_RelativeDefault
            p.p2_wealth = p.p2_wealth_RelativeDefault

        if p.choice == "AbsoluteDefault":

            p.p1_income = p.p1_income_AbsoluteDefault
            p.p2_income = p.p2_income_AbsoluteDefault

            p.p1_wealth = p.p1_wealth_AbsoluteDefault
            p.p2_wealth = p.p2_wealth_AbsoluteDefault

        if p.choice == "AdvantagePoor":

            p.p1_income = p.p1_income_AdvantagePoor
            p.p2_income = p.p2_income_AdvantagePoor

            p.p1_wealth = p.p1_wealth_AdvantagePoor
            p.p2_wealth = p.p2_wealth_AdvantagePoor

        if p.choice == "AdvantageRich":

            p.p1_income = p.p1_income_AdvantageRich
            p.p2_income = p.p2_income_AdvantageRich

            p.p1_wealth = p.p1_wealth_AdvantageRich
            p.p2_wealth = p.p2_wealth_AdvantageRich

        if p.choice == "Intermediate":

            p.p1_income = p.p1_income_Intermediate
            p.p2_income = p.p2_income_Intermediate

            p.p1_wealth = p.p1_wealth_Intermediate
            p.p2_wealth = p.p2_wealth_Intermediate

        if p.choice == "EqualWealth":

            p.p1_income = p.p1_income_EqualWealth
            p.p2_income = p.p2_income_EqualWealth

            p.p1_wealth = p.p1_wealth_EqualWealth
            p.p2_wealth = p.p2_wealth_EqualWealth


class TripleDecision(Page):
    form_model = 'player'
    form_fields = ['choice']

    def is_displayed(self):
        return (self.player.round_number ==2)

    def vars_for_template(self):
        return {'p1_prize': safe_json(self.player.p1_prize),
                'p2_prize': safe_json(self.player.p2_prize),
                'p1_income_RelativeDefault': safe_json(self.player.p1_income_RelativeDefault),
                'p1_income_AbsoluteDefault': safe_json(self.player.p1_income_AbsoluteDefault),
                'p1_income_EqualWealth': safe_json(self.player.p1_income_EqualWealth),
                'p2_income_RelativeDefault': safe_json(self.player.p2_income_RelativeDefault),
                'p2_income_AbsoluteDefault': safe_json(self.player.p2_income_AbsoluteDefault),
                'p2_income_EqualWealth': safe_json(self.player.p2_income_EqualWealth),
                'decisions' : safe_json(self.player.decisions),
                'progress': self.player.progress}



    def before_next_page(self):

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)

        p = self.player

        if p.choice == "RelativeDefault":

            p.p1_income = p.p1_income_RelativeDefault
            p.p2_income = p.p2_income_RelativeDefault

            p.p1_wealth = p.p1_wealth_RelativeDefault
            p.p2_wealth = p.p2_wealth_RelativeDefault

        if p.choice == "AbsoluteDefault":

            p.p1_income = p.p1_income_AbsoluteDefault
            p.p2_income = p.p2_income_AbsoluteDefault

            p.p1_wealth = p.p1_wealth_AbsoluteDefault
            p.p2_wealth = p.p2_wealth_AbsoluteDefault

        if p.choice == "AdvantagePoor":

            p.p1_income = p.p1_income_AdvantagePoor
            p.p2_income = p.p2_income_AdvantagePoor

            p.p1_wealth = p.p1_wealth_AdvantagePoor
            p.p2_wealth = p.p2_wealth_AdvantagePoor

        if p.choice == "AdvantageRich":

            p.p1_income = p.p1_income_AdvantageRich
            p.p2_income = p.p2_income_AdvantageRich

            p.p1_wealth = p.p1_wealth_AdvantageRich
            p.p2_wealth = p.p2_wealth_AdvantageRich

        if p.choice == "Intermediate":

            p.p1_income = p.p1_income_Intermediate
            p.p2_income = p.p2_income_Intermediate

            p.p1_wealth = p.p1_wealth_Intermediate
            p.p2_wealth = p.p2_wealth_Intermediate

        if p.choice == "EqualWealth":

            p.p1_income = p.p1_income_EqualWealth
            p.p2_income = p.p2_income_EqualWealth

            p.p1_wealth = p.p1_wealth_EqualWealth
            p.p2_wealth = p.p2_wealth_EqualWealth


class Decision2(Page):
    form_model = 'player'
    form_fields = ['p1_slider_choice', 'p2_slider_choice', 'slider_touched']

    def is_displayed(self):
        return (self.player.round_number in [1,2,3,4,5,6])

    def vars_for_template(self):
        return {'p1_initial_wealth': safe_json(self.player.p1_initial_wealth),
                'p2_initial_wealth': safe_json(self.player.p2_initial_wealth),
                'p1_income_no_redist': safe_json(self.player.p1_income_no_redist),
                'p2_income_no_redist': safe_json(self.player.p2_income_no_redist),
                'slider_frame': safe_json(self.player.slider_frame),
                'additional_sum': safe_json(self.player.additional_sum),
                'progress': self.player.progress}

    def error_message(player, values):

        if values["slider_touched"] == 0:
            return "Bitte berühren Sie den Slider, um eine Umverteilungsentscheidung zu treffen."


    def before_next_page(self):

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)

        p = self.player

        p1_max_percentage = 100*((p.p1_initial_wealth + p.additional_sum)/p.p1_initial_wealth - 1)
        p2_max_percentage = 100*((p.p2_initial_wealth + p.additional_sum)/p.p2_initial_wealth - 1)
        p1_min_percentage = 0
        p2_min_percentage = 0

        p1_percentage = (1-p.p1_slider_choice/100)*p1_min_percentage + (p.p1_slider_choice/100)*p1_max_percentage

        p2_percentage = (1-p.p2_slider_choice/100)*p2_min_percentage + (p.p2_slider_choice/100)*p2_max_percentage

        p.p1_income_redist = (p1_percentage/100)*p.p1_initial_wealth
        p.p2_income_redist = (p2_percentage/100)*p.p2_initial_wealth

        p.p1_final_wealth_redist = p.p1_initial_wealth + p.p1_income_redist
        p.p2_final_wealth_redist = p.p2_initial_wealth + p.p2_income_redist

        p.p1_factor_redist = np.float(p.p1_final_wealth_redist) / np.float(p.p1_initial_wealth)
        p.p2_factor_redist = np.float(p.p2_final_wealth_redist) / np.float(p.p2_initial_wealth)


class Questions(Page):
    form_model = 'player'
    form_fields = ['absolute_fairness_answer', 'relative_fairness_answer']

    def is_displayed(self):
        return (self.player.round_number == 8)

    def before_next_page(self):
        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)

    def vars_for_template(self):
        return {'progress': self.player.progress}

class AttentionCheck(Page):
    form_model = 'player'
    form_fields = ['attention_check_answer', 'attention_slider_touched']

    def is_displayed(self):
        return (self.player.round_number == 3)


    def error_message(player, values):

        if values["attention_slider_touched"] == 0:
            return "Bitte berühren Sie den Slider, um eine Umverteilungsentscheidung zu treffen."

    def before_next_page(self):

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)

        p = self.player

        if p.attention_check_answer == -100:

            p.attention_check_passed = 1;

        else:

            p.attention_check_passed = 0;

    def vars_for_template(self):
        return {'progress': self.player.progress}

class Comprehension_Calibration(Page):
    form_model = 'player'
    form_fields = ['comprehension_tries_calibration_1']

    def is_displayed(self):
        return (self.player.round_number == 9)

    def before_next_page(self):
        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)

    def vars_for_template(self):
        return {'progress': safe_json(self.player.progress),
                'treatment': safe_json(self.player.treatment)}

class Calibration_1(Page):

    form_model = 'player'

    form_fields = ['calibration_choice_1']


    def vars_for_template(self):
        return {'p1_prize': safe_json(self.player.p1_prize),
                'p2_prize': safe_json(self.player.p2_prize),
                'p1_income_RelativeDefault': safe_json(self.player.p1_income_RelativeDefault),
                'p1_income_AbsoluteDefault': safe_json(self.player.p1_income_AbsoluteDefault),
                'p1_income_EqualWealth': safe_json(self.player.p1_income_EqualWealth),
                'p2_income_RelativeDefault': safe_json(self.player.p2_income_RelativeDefault),
                'p2_income_AbsoluteDefault': safe_json(self.player.p2_income_AbsoluteDefault),
                'p2_income_EqualWealth': safe_json(self.player.p2_income_EqualWealth),
                'progress': self.player.progress}


    def before_next_page(self):

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)


    def is_displayed(self):
        return (self.player.round_number == 9)


class Calibration_2(Page):

    form_model = 'player'

    form_fields = ['calibration_choice_2']


    def vars_for_template(self):
        return {'p1_prize': safe_json(self.player.p1_prize),
                'p2_prize': safe_json(self.player.p2_prize),
                'p1_income_RelativeDefault': safe_json(self.player.p1_income_RelativeDefault),
                'p1_income_AbsoluteDefault': safe_json(self.player.p1_income_AbsoluteDefault),
                'p1_income_EqualWealth': safe_json(self.player.p1_income_EqualWealth),
                'p2_income_RelativeDefault': safe_json(self.player.p2_income_RelativeDefault),
                'p2_income_AbsoluteDefault': safe_json(self.player.p2_income_AbsoluteDefault),
                'p2_income_EqualWealth': safe_json(self.player.p2_income_EqualWealth),
                'progress': self.player.progress}


    def before_next_page(self):

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)


    def is_displayed(self):
        return (self.player.round_number == 9)

class Calibration_3(Page):

    form_model = 'player'

    form_fields = ['calibration_choice_3']


    def vars_for_template(self):
        return {'p1_prize': safe_json(self.player.p1_prize),
                'p2_prize': safe_json(self.player.p2_prize),
                'p1_income_RelativeDefault': safe_json(self.player.p1_income_RelativeDefault),
                'p1_income_AbsoluteDefault': safe_json(self.player.p1_income_AbsoluteDefault),
                'p1_income_EqualWealth': safe_json(self.player.p1_income_EqualWealth),
                'p2_income_RelativeDefault': safe_json(self.player.p2_income_RelativeDefault),
                'p2_income_AbsoluteDefault': safe_json(self.player.p2_income_AbsoluteDefault),
                'p2_income_EqualWealth': safe_json(self.player.p2_income_EqualWealth),
                'progress': self.player.progress}


    def before_next_page(self):

        for r in [1,2,3,4,5,6,7,8,9]:

            self.player.in_round(r).progress = np.int(100*self.participant._index_in_pages / self.participant._max_page_index)


    def is_displayed(self):
        return (self.player.round_number == 9)







page_sequence = [Welcome, Introduction_Quiz, Comprehension_Quiz, Ready, Quiz, Introduction_Decision, Comprehension, DualDecision, TripleDecision, Decision, Questions, Introduction_Calibration, Comprehension_Calibration, Calibration_1, Calibration_2, Calibration_3]