Creating a Monopoly Game Board Simulation with Python

monopoly-simulation-7.py

# Monopoly simulation
def monopoly_simulation(
    num_player: int,
    iteration: int,
    card: bool
    ):
    # String of players
    player_str = ['Player ' + str(i) for i in range(1, num_player + 1)]
    
    # A dictionary for players
    obj = {
        'players': num_player,
        'iteration': iteration,
        'simulation': dict([(idx, dict([('iterations', [])])) for idx in player_str])
    }
    
    # Loop for iterations
    for turn in range(iteration):
        # Loop for players
        for player in player_str:
            # Length of iterations in each player
            length_iter = len(obj['simulation'][player]['iterations'])
            
            if turn == 0:
                # Initial move
                d_last_move = {
                    'subiteration': 0,
                    'dices': [0, 0],
                    'move': {
                        'chance_card': None,
                        'community_card': None,
                        'jail': {
                            'status': False,
                            'number': 0
                        },
                        'before': 1,
                        'after': {
                            'real': 1,
                            'updated': None
                        }
                    }
                }
            else:
                # Check latest move
                d_last_move = obj['simulation'][player]['iterations'][-1]['data'][-1]
            
            # CORE ALGORITHM
            # Template for subiteration
            subiteration_temp = {'iteration': turn, 'data': [d_last_move]}
            # Roll the dices
            dices = random.choices(population = range(1, 7), k = 2)
            # Subiteration
            loop = 1

            # While loop
            while (len(np.unique(dices)) == 1) and (loop < 3):
                # Get the subiteration
                subiteration_data = move_spaces(
                    dict_latest = subiteration_temp['data'][-1],
                    dices = dices,
                    subiteration = loop,
                    three_times = False,
                    card = card,
                    data_card = data_card,
                    data_space = data_space
                )

                # Append the subiteration data
                subiteration_temp['data'].append(subiteration_data)

                # Update the indexer
                dices = random.choices(population = range(1, 7), k = 2)
                loop += 1
            
            else:
                # If same numbers are found three times
                if (len(np.unique(dices)) == 1) and (loop > 2):
                    three_times = True
                # Next move
                else:
                    three_times = False
                
                # Get the subiteration
                subiteration_data = move_spaces(
                    dict_latest = subiteration_temp['data'][-1],
                    dices = dices,
                    subiteration = loop,
                    three_times = three_times,
                    card = card,
                    data_card = data_card,
                    data_space = data_space
                )

                # Append the subiteration data
                subiteration_temp['data'].append(subiteration_data)
            
            # Remove first element in data of 'subiteration_temp'
            subiteration_temp['data'] = subiteration_temp['data'][1:]
            
            # Append the obj
            obj['simulation'][player]['iterations'].append(subiteration_temp)
    
    return obj