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monopoly_game_schema.py
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def specify_board_state():
board_state = dict()
board_state['board_shape'] = 'linear'
board_state['go_position'] = 0
board_state['go_increment'] = 200
# taken from https://en.wikipedia.org/wiki/Template:Monopoly_board_layout also saved in local
board_state['location_sequence'] = ['Go','Mediterranean Avenue', 'Community Chest',
'Baltic Avenue', 'Income Tax', 'Reading Railroad', 'Oriental Avenue',
'Chance', 'Vermont Avenue', 'Connecticut Avenue', 'In Jail/Just Visiting',
'St. Charles Place', 'Electric Company', 'States Avenue', 'Virginia Avenue',
'Pennsylvania Railroad', 'St. James Place', 'Community Chest', 'Tennessee Avenue',
'New York Avenue', 'Free Parking', 'Kentucky Avenue', 'Chance', 'Indiana Avenue',
'Illinois Avenue', 'B&O Railroad', 'Atlantic Avenue', 'Ventnor Avenue',
'Water Works', 'Marvin Gardens', 'Go to Jail', 'Pacific Avenue', 'North Carolina Avenue',
'Community Chest', 'Pennsylvania Avenue', 'Short Line', 'Chance', 'Park Place',
'Luxury Tax', 'Boardwalk']
#populate die
board_state['die'] = _specify_die_state()
#populate cards
board_state['cards'] = _specify_card_state()
# populate actions
board_state['action_choices'] = _specify_action_state()
#populate location details
board_state['locations'] = _specify_location_state(board_state['location_sequence'])
# populate player details
board_state['players'] = _specify_player_state(len(board_state['location_sequence']))
return board_state
def _specify_action_state():
ans = dict()
ans['pre_die_roll'] = ['mortgage_property', 'improve_property', 'use_get_out_of_jail_card', 'pay_jail_fine',
'skip_turn', 'free_mortgage', 'sell_property', 'sell_house_hotel', 'accept_sell_property_offer'
, 'roll_die', 'concluded_actions', 'make_trade_offer', 'accept_trade_offer']
ans['post_die_roll'] = ['mortgage_property', 'buy_property', 'sell_property',
'sell_house_hotel', 'concluded_actions'] # treat auction as a special case
ans['out_of_turn'] = ['free_mortgage','sell_property','sell_house_hotel','accept_sell_property_offer',
'make_trade_offer', 'accept_trade_offer','skip_turn', 'concluded_actions', 'mortgage_property', 'improve_property']
return ans
def _specify_player_state(num_board_positions):
ans = dict()
count = 4
ans['player_count'] = count
# ans['player_states'] = list()
inner_dict = {'player_name':['player_1','player_2','player_3','player_4'],
'starting_cash': 1500,
'current_cash': 1500,
'current_position':list(range(0,num_board_positions)),
'status': ['waiting_for_move', 'current_move', 'won', 'lost'],
'assets': ['Mediterranean Avenue',
'Baltic Avenue', 'Reading Railroad', 'Oriental Avenue',
'Vermont Avenue', 'Connecticut Avenue',
'St. Charles Place', 'Electric Company', 'States Avenue', 'Virginia Avenue',
'Pennsylvania Railroad', 'St. James Place', 'Tennessee Avenue',
'New York Avenue', 'Kentucky Avenue', 'Indiana Avenue',
'Illinois Avenue', 'B&O Railroad', 'Atlantic Avenue', 'Ventnor Avenue',
'Water Works', 'Marvin Gardens', 'Pacific Avenue', 'North Carolina Avenue',
'Pennsylvania Avenue', 'Short Line', 'Park Place','Boardwalk'
],
'full_color_sets_possessed': [['Brown', 'SkyBlue', 'Orchid', 'Red', 'Orange', 'Yellow',
'Green', 'Blue']],
'num_utilities_possessed':[0,1,2],
'num_railroads_possessed': [0, 1, 2,3,4],
'currently_in_jail':[True,False],
'has_get_out_of_jail_chance_card': [True,False],
'has_get_out_of_jail_community_chest_card': [True, False]
}
# for i in range(0,count):
# ans['player_states'].append(inner_dict)
ans['player_states'] = inner_dict
return ans
def _specify_card_state():
ans = dict()
ans['community_chest'] = dict()
ans['chance'] = dict()
# community chest
ans['community_chest']['card_count'] = 17
ans['community_chest']['card_states'] = _build_community_chest_card_details()
# chance
ans['chance']['card_count'] = 17
ans['chance']['card_states'] = _build_chance_card_details()
return ans
def _build_community_chest_card_details():
cards = list()
go_to_jail = {'action':'move_player', 'name':'go_to_jail', 'card_type':'movement', 'destination':'In Jail/Just Visiting', 'num':1}
cards.append(go_to_jail)
get_out_of_jail_free = {'action':'set_get_out_of_jail_card_status', 'name':'get_out_of_jail_free', 'card_type':'contingent_movement', 'num':1}
cards.append(get_out_of_jail_free)
sale_of_stock = {'action':'bank_cash_transaction', 'name':'sale_of_stock', 'card_type':'positive_cash_from_bank', 'amount':50, 'num':1}
cards.append(sale_of_stock)
bank_error = {'action':'bank_cash_transaction', 'name':'bank_error', 'card_type':'positive_cash_from_bank', 'amount':200, 'num':1}
cards.append(bank_error)
doctor_fee = {'action':'bank_cash_transaction', 'name':'doctor_fee', 'card_type':'negative_cash_from_bank', 'amount':-50, 'num':1}
cards.append(doctor_fee)
advance_to_go = {'action':'move_player', 'name':'advance_to_go', 'card_type':'movement', 'destination':'Go', 'num':1}
cards.append(advance_to_go)
grand_opera_night = {'action':'player_cash_transaction', 'name':'grand_opera_night', 'card_type':'positive_cash_from_players',
'amount_per_player':50, 'num':1}
cards.append(grand_opera_night)
holiday_fund_matures = {'action':'bank_cash_transaction', 'name':'holiday_fund_matures', 'card_type':'positive_cash_from_bank', 'amount':100, 'num':1}
cards.append(holiday_fund_matures)
income_tax_refund = {'action':'bank_cash_transaction', 'name':'income_tax_refund', 'card_type':'positive_cash_from_bank', 'amount':20, 'num':1}
cards.append(income_tax_refund)
birthday = {'action':'player_cash_transaction', 'name':'birthday', 'card_type':'positive_cash_from_players', 'amount_per_player':10, 'num':1}
cards.append(birthday)
life_insurance_matures = {'action':'bank_cash_transaction', 'name':'life_insurance_matures', 'card_type':'positive_cash_from_bank', 'amount':100, 'num':1}
cards.append(life_insurance_matures)
hospital_fee = {'action':'bank_cash_transaction', 'name':'hospital_fee', 'card_type':'negative_cash_from_bank', 'amount':-50, 'num':1}
cards.append(hospital_fee)
school_fee = {'action':'bank_cash_transaction', 'name':'school_fee', 'card_type':'negative_cash_from_bank', 'amount':-50, 'num':1}
cards.append(school_fee)
consultancy_fee = {'action':'bank_cash_transaction', 'name':'consultancy_fee', 'card_type':'positive_cash_from_bank', 'amount':25, 'num':1}
cards.append(consultancy_fee)
street_repairs = {'action':'contingent_bank_cash_transaction', 'name':'street_repairs',
'card_type':'contingent_cash_from_bank',
'contingency':'calculate_street_repair_cost', 'num':1}
cards.append(street_repairs)
win_beauty_contest = {'action':'bank_cash_transaction', 'name':'win_beauty_contest', 'card_type':'positive_cash_from_bank', 'amount':10, 'num':1}
cards.append(win_beauty_contest)
inherit_money = {'action':'bank_cash_transaction', 'name':'inherit_money', 'card_type':'positive_cash_from_bank', 'amount':100, 'num':1}
cards.append(inherit_money)
return cards
def _build_chance_card_details():
cards = list()
go_to_jail = {'action': 'move_player', 'name': 'go_to_jail', 'card_type': 'movement',
'destination': 'In Jail/Just Visiting', 'num':1}
cards.append(go_to_jail)
get_out_of_jail_free = {'action': 'set_get_out_of_jail_card_status', 'name': 'get_out_of_jail_free',
'card_type': 'contingent_movement', 'num':1}
cards.append(get_out_of_jail_free)
go_to_illinois_avenue = {'action': 'move_player__check_for_go', 'name': 'go_to_illinois_avenue', 'card_type': 'movement',
'destination': 'Illinois Avenue', 'num':1}
cards.append(go_to_illinois_avenue)
advance_to_go = {'action': 'move_player', 'name': 'advance_to_go', 'card_type': 'movement', 'destination': 'Go',
'num': 1}
cards.append(advance_to_go)
go_to_st_charles = {'action': 'move_player__check_for_go', 'name': 'go_to_st_charles', 'card_type': 'movement',
'destination': 'St. Charles Place', 'num':1}
cards.append(go_to_st_charles)
go_to_nearest_utility = {'action': 'move_to_nearest_utility__pay_or_buy__check_for_go', 'name': 'go_to_nearest_utility',
'card_type': 'movement_payment', 'num':1}
cards.append(go_to_nearest_utility)
go_to_nearest_railroad_pay_double = {'action': 'move_to_nearest_railroad__pay_double_or_buy__check_for_go', 'name': 'go_to_nearest_railroad_pay_double',
'card_type': 'movement_payment', 'num':2}
cards.append(go_to_nearest_railroad_pay_double)
bank_dividend = {'action': 'bank_cash_transaction', 'name': 'bank_dividend', 'card_type': 'positive_cash_from_bank',
'amount': 50, 'num':1}
cards.append(bank_dividend)
general_repairs = {'action': 'contingent_bank_cash_transaction', 'name': 'general_repairs',
'card_type': 'contingent_cash_from_bank',
'contingency': 'calculate_general_repair_cost', 'num':1}
cards.append(general_repairs)
go_back_three_spaces = {'action': 'move_player_relative', 'name': 'go_back_three_spaces', 'card_type': 'movement_relative',
'new_relative_position': -3, 'num':1}
cards.append(go_back_three_spaces)
go_to_reading_railroad = {'action': 'move_player__check_for_go', 'name': 'go_to_reading_railroad',
'card_type': 'movement',
'destination': 'Reading Railroad', 'num': 1}
cards.append(go_to_reading_railroad)
go_to_boardwalk = {'action': 'move_player__check_for_go', 'name': 'go_to_boardwalk',
'card_type': 'movement',
'destination': 'Boardwalk', 'num': 1}
cards.append(go_to_boardwalk)
pay_poor_tax = {'action': 'bank_cash_transaction', 'name': 'pay_poor_tax', 'card_type': 'negative_cash_from_bank',
'amount': -15, 'num': 1}
cards.append(pay_poor_tax)
building_loan_matures = {'action': 'bank_cash_transaction', 'name': 'building_loan_matures', 'card_type': 'positive_cash_from_bank',
'amount': 150, 'num': 1}
cards.append(building_loan_matures)
win_crossword_competition = {'action': 'bank_cash_transaction', 'name': 'win_crossword_competition',
'card_type': 'positive_cash_from_bank',
'amount': 100, 'num': 1}
cards.append(win_crossword_competition)
elected_board_chairman = {'action': 'player_cash_transaction', 'name': 'elected_board_chairman',
'card_type': 'negative_cash_from_players',
'amount_per_player': -50, 'num': 1}
cards.append(elected_board_chairman)
return cards
def _specify_location_state(location_sequence):
"""
location is defined broadly here, could include any 'spot' where a player could land. Properties may span locations,
though they do not in the default board.
:param location_sequence: a list of strings, where each string is the name of a location
:return: the location dictionary
"""
ans = dict()
ans['location_count'] = len(location_sequence)
ans['location_states'] = list()
location_details = _build_individual_location_details()
index = 0
for loc in location_sequence:
ans['location_states'].append(location_details[loc])
ans['location_states'][index]['start_position'] = index
ans['location_states'][index]['end_position'] = index+1
index += 1
return ans
def _specify_die_state():
ans = dict()
count = 2
ans['die_count'] = count
ans['die_state'] = list()
for i in range(0, count):
ans['die_state'].append([1, 2, 3, 4, 5, 6])
return ans
def _build_individual_location_details():
ans = dict()
# class Brown
ans['Mediterranean Avenue'] = {'color':'Brown','price':60, 'name':'Mediterranean Avenue', 'rent':2,
'price_per_house':50, 'rent_1_house':10, 'rent_2_houses':30,
'rent_3_houses': 90, 'rent_4_houses':160, 'rent_hotel':250,
'mortgage':30, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['Baltic Avenue'] = {'color': 'Brown', 'price': 60, 'name': 'Baltic Avenue', 'rent': 4,
'price_per_house': 50, 'rent_1_house': 20, 'rent_2_houses': 60,
'rent_3_houses': 180, 'rent_4_houses': 320, 'rent_hotel': 450,
'mortgage': 30, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
#class SkyBlue
ans['Oriental Avenue'] = {'color': 'SkyBlue', 'price': 100, 'name': 'Oriental Avenue', 'rent': 6,
'price_per_house': 50, 'rent_1_house': 30, 'rent_2_houses': 90,
'rent_3_houses': 270, 'rent_4_houses': 400, 'rent_hotel': 550,
'mortgage': 50, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['Vermont Avenue'] = {'color': 'SkyBlue', 'price': 100, 'name': 'Vermont Avenue', 'rent': 6,
'price_per_house': 50, 'rent_1_house': 30, 'rent_2_houses': 90,
'rent_3_houses': 270, 'rent_4_houses': 400, 'rent_hotel': 550,
'mortgage': 50, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['Connecticut Avenue'] = {'color': 'SkyBlue', 'price': 120, 'name': 'Connecticut Avenue', 'rent': 8,
'price_per_house': 50, 'rent_1_house': 40, 'rent_2_houses': 100,
'rent_3_houses': 300, 'rent_4_houses': 450, 'rent_hotel': 600,
'mortgage': 60, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
# class Orchid
ans['St. Charles Place'] = {'color': 'Orchid', 'price': 140, 'name': 'St. Charles Place', 'rent': 10,
'price_per_house': 100, 'rent_1_house': 50, 'rent_2_houses': 150,
'rent_3_houses': 450, 'rent_4_houses': 625, 'rent_hotel': 750,
'mortgage': 70, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['States Avenue'] = {'color': 'Orchid', 'price': 140, 'name': 'States Avenue', 'rent': 10,
'price_per_house': 100, 'rent_1_house': 50, 'rent_2_houses': 150,
'rent_3_houses': 450, 'rent_4_houses': 625, 'rent_hotel': 750,
'mortgage': 70, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['Virginia Avenue'] = {'color': 'Orchid', 'price': 160, 'name': 'Virginia Avenue', 'rent': 12,
'price_per_house': 100, 'rent_1_house': 60, 'rent_2_houses': 180,
'rent_3_houses': 500, 'rent_4_houses': 700, 'rent_hotel': 900,
'mortgage': 80, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
# class Orange
ans['St. James Place'] = {'color': 'Orange', 'price': 180, 'name': 'St. James Place', 'rent': 14,
'price_per_house': 100, 'rent_1_house': 70, 'rent_2_houses': 200,
'rent_3_houses': 550, 'rent_4_houses': 750, 'rent_hotel': 950,
'mortgage': 90, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['Tennessee Avenue'] = {'color': 'Orange', 'price': 180, 'name': 'Tennessee Avenue', 'rent': 14,
'price_per_house': 100, 'rent_1_house': 70, 'rent_2_houses': 200,
'rent_3_houses': 550, 'rent_4_houses': 750, 'rent_hotel': 950,
'mortgage': 90, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['New York Avenue'] = {'color': 'Orange', 'price': 200, 'name': 'New York Avenue', 'rent': 16,
'price_per_house': 100, 'rent_1_house': 80, 'rent_2_houses': 220,
'rent_3_houses': 600, 'rent_4_houses': 800, 'rent_hotel': 1000,
'mortgage': 100, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
# class Red
ans['Kentucky Avenue'] = {'color': 'Red', 'price': 220, 'name': 'Kentucky Avenue', 'rent': 18,
'price_per_house': 150, 'rent_1_house': 90, 'rent_2_houses': 250,
'rent_3_houses': 700, 'rent_4_houses': 875, 'rent_hotel': 1050,
'mortgage': 110, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['Indiana Avenue'] = {'color': 'Red', 'price': 220, 'name': 'Indiana Avenue', 'rent': 18,
'price_per_house': 150, 'rent_1_house': 90, 'rent_2_houses': 250,
'rent_3_houses': 700, 'rent_4_houses': 875, 'rent_hotel': 1050,
'mortgage': 110, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['Illinois Avenue'] = {'color': 'Red', 'price': 240, 'name': 'Illinois Avenue', 'rent': 20,
'price_per_house': 150, 'rent_1_house': 100, 'rent_2_houses': 300,
'rent_3_houses': 750, 'rent_4_houses': 925, 'rent_hotel': 1100,
'mortgage': 120, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
# class Yellow
ans['Atlantic Avenue'] = {'color': 'Yellow', 'price': 260, 'name': 'Atlantic Avenue', 'rent': 22,
'price_per_house': 150, 'rent_1_house': 110, 'rent_2_houses': 330,
'rent_3_houses': 800, 'rent_4_houses': 975, 'rent_hotel': 1150,
'mortgage': 130, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['Ventnor Avenue'] = {'color': 'Yellow', 'price': 260, 'name': 'Ventnor Avenue', 'rent': 22,
'price_per_house': 150, 'rent_1_house': 110, 'rent_2_houses': 330,
'rent_3_houses': 800, 'rent_4_houses': 975, 'rent_hotel': 1150,
'mortgage': 130, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['Marvin Gardens'] = {'color': 'Yellow', 'price': 280, 'name': 'Marvin Gardens', 'rent': 24,
'price_per_house': 150, 'rent_1_house': 120, 'rent_2_houses': 360,
'rent_3_houses': 850, 'rent_4_houses': 1025, 'rent_hotel': 1200,
'mortgage': 140, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
# class Green
ans['Pacific Avenue'] = {'color': 'Green', 'price': 300, 'name': 'Pacific Avenue', 'rent': 26,
'price_per_house': 200, 'rent_1_house': 130, 'rent_2_houses': 390,
'rent_3_houses': 900, 'rent_4_houses': 1100, 'rent_hotel': 1275,
'mortgage': 150, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['North Carolina Avenue'] = {'color': 'Green', 'price': 300, 'name': 'North Carolina Avenue', 'rent': 26,
'price_per_house': 200, 'rent_1_house': 130, 'rent_2_houses': 390,
'rent_3_houses': 900, 'rent_4_houses': 1100, 'rent_hotel': 1275,
'mortgage': 150, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['Pennsylvania Avenue'] = {'color': 'Green', 'price': 320, 'name': 'Pennsylvania Avenue', 'rent': 28,
'price_per_house': 200, 'rent_1_house': 150, 'rent_2_houses': 450,
'rent_3_houses': 1000, 'rent_4_houses': 1200, 'rent_hotel': 1400,
'mortgage': 160, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
# class Blue
ans['Park Place'] = {'color': 'Blue', 'price': 350, 'name': 'Park Place', 'rent': 35,
'price_per_house': 200, 'rent_1_house': 175, 'rent_2_houses': 500,
'rent_3_houses': 1100, 'rent_4_houses': 1300, 'rent_hotel': 1500,
'mortgage': 175, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
ans['Boardwalk'] = {'color': 'Blue', 'price': 400, 'name': 'Boardwalk', 'rent': 50,
'price_per_house': 200, 'rent_1_house': 200, 'rent_2_houses': 600,
'rent_3_houses': 1400, 'rent_4_houses': 1700, 'rent_hotel': 2000,
'mortgage': 200, 'loc_class':'real_estate',
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4'],
'num_houses':[0,1,2,3,4], 'num_hotels': [0,1]}
# Railroads
ans['Reading Railroad'] = {'name':'Reading Railroad','color': 'None','loc_class':'railroad',
'price': 200, 'mortgage': 100,
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4']}
ans['B&O Railroad'] = {'name':'B&O Railroad','color': 'None','loc_class':'railroad',
'price': 200, 'mortgage': 100,
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4']}
ans['Pennsylvania Railroad'] = {'name': 'Pennsylvania Railroad', 'color': 'None', 'loc_class': 'railroad',
'price': 200, 'mortgage': 100,
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4']}
ans['Short Line'] = {'name': 'Short Line', 'color': 'None', 'loc_class': 'railroad',
'price': 200, 'mortgage': 100,
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4']}
#Utilities
ans['Electric Company'] = {'name': 'Electric Company', 'color': 'None', 'loc_class': 'utility',
'price': 150, 'mortgage': 75,
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4']}
ans['Water Works'] = {'name': 'Water Works', 'color': 'None', 'loc_class': 'utility',
'price': 150, 'mortgage': 75,
'owned_by':['bank', 'player_1', 'player_2', 'player_3', 'player_4']}
# Tax
ans['Income Tax'] = {'name': 'Income Tax', 'color': 'None', 'loc_class': 'tax', 'amount_due':200}
ans['Luxury Tax'] = {'name': 'Luxury Tax', 'color': 'None', 'loc_class': 'tax', 'amount_due':100}
# Do Nothing
ans['Go'] = {'name': 'Go', 'color': 'None', 'loc_class': 'do_nothing'}
ans['In Jail/Just Visiting'] = {'name': 'In Jail/Just Visiting', 'color': 'None', 'loc_class': 'do_nothing'}
ans['Free Parking'] = {'name': 'Free Parking', 'color': 'None', 'loc_class': 'do_nothing'}
# Action
ans['Chance'] = {'name': 'Chance', 'color': 'None', 'loc_class': 'action',
'perform_action':'pick_card_from_chance'}
ans['Community Chest'] = {'name': 'Community Chest', 'color': 'None', 'loc_class': 'action',
'perform_action':'pick_card_from_community_chest'}
ans['Go to Jail'] = {'name': 'Go to Jail', 'color': 'None', 'loc_class': 'action',
'perform_action': 'go_to_jail'}
return ans
ans = specify_board_state()
import json
json.dump(ans, open('/Users/mayankkejriwal/git-projects/GNOME/monopoly_game_schema_v1-2.json', 'w'))