def test_score_fail2(self):
# Tests failing score due to invalid type
player = PlayerEntity('iBot', Color.WHITE)
with self.assertRaises(TypeError):
player.score = 'whaa'
def initialize_state(json_obj: dict) -> State:
"""
Initializes a State object from the given json representation of a state.
:param json_obj: json object (dictionary) containing player list and board
:return: the state described by the json obj as a State object
"""
if not isinstance(json_obj, dict):
raise TypeError('Expected dict for json_obj!')
if 'players' not in json_obj.keys():
raise ValueError('Expected players in object!')
if 'board' not in json_obj.keys():
raise ValueError('Expected board in object!')
# Retrieve player list
player_list = json_obj['players']
board_json = json_obj['board']
# Get board from json
board = initialize_board(board_json)
# Initialize empty collection to hold players
players = []
# Initialize collection to hold player ids and their
# avatar placements
player_placements = {}
# Cycle over each json object in the json list
for player in player_list:
# Make up Player object
new_player = PlayerEntity("", _str_to_color(player['color']))
# Update player score to whatever the current score is in the state
new_player.score = player['score']
# Add player object to players list
players.append(new_player)
# Insert placement
player_placements.update(
{_str_to_color(player['color']): player['places']})
# Make up state with board and players
state = State(board, players)
# Determine the maximum number of avatars for a single player
avatars_per_player_no = max(
map(lambda x: len(x), player_placements.values()))
# For each i in the number of avatars per player
for i in range(avatars_per_player_no):
# For each player, place i-th avatar if possible
for p_color, p_placements in player_placements.items():
# Retrieve current player's i-th avatar
try:
placement = player_placements[p_color][i]
# Convert to Position object
position_to_place = Position(placement[0], placement[1])
# Place current player's avatar at position
state.place_avatar(p_color, position_to_place)
except IndexError:
continue
return state