def eq_vs_mean_price(self) -> Tuple[List[str], np.ndarray]:
"""
Compute the mean price of each good and display it together with the equilibrium price.
:return: a matrix of shape (2, nb_goods), where every column i contains the prices of the good.
"""
nb_transactions = len(self.game.transactions)
eq_prices = self.game.initialization.eq_prices
nb_goods = len(eq_prices)
result = np.zeros((2, nb_goods), dtype=np.float32)
result[0, :] = np.asarray(eq_prices, dtype=np.float32)
prices_by_transactions = np.zeros((nb_transactions + 1, nb_goods),
dtype=np.float32)
# initial prices
prices_by_transactions[0, :] = np.asarray(0, dtype=np.float32)
temp_game = Game(self.game.configuration, self.game.initialization)
for idx, tx in enumerate(self.game.transactions):
temp_game.settle_transaction(tx)
prices_by_transactions[idx + 1, :] = np.asarray(
temp_game.get_prices(), dtype=np.float32)
denominator = (prices_by_transactions != 0).sum(0)
result[1, :] = np.true_divide(prices_by_transactions.sum(0),
denominator)
result[1, denominator == 0] = 0
result = np.transpose(result)
return self.game.configuration.good_names, result
def price_history(self) -> np.ndarray:
"""Get the price history."""
nb_transactions = len(self.game.transactions)
nb_goods = self.game.configuration.nb_goods
result = np.zeros((nb_transactions + 1, nb_goods), dtype=np.float32)
temp_game = Game(self.game.configuration, self.game.initialization)
# initial prices
result[0, :] = np.asarray(0, dtype=np.float32)
for idx, tx in enumerate(self.game.transactions):
temp_game.settle_transaction(tx)
result[idx + 1, :] = np.asarray(temp_game.get_prices(),
dtype=np.float32)
return result