def test_average_rating_no_players(qtbot):
import config
config.no_dialogs = True
import client
from games.gameitem import GameItem
players = []
g = GameItem(0)
client.players = dict(map(lambda p: (p.id, p), players))
g.client = client
g.players = players
assert 0 == g.average_rating
def test_average_rating(qtbot):
import config
config.no_dialogs = True
import client
from client import Player
from games.gameitem import GameItem
players = [Player(id=1, login='******', global_rating=(2000, 200)),
Player(id=2, login='******', global_rating=(1000, 150)),
Player(id=3, login='******', global_rating=(1200, 100))]
g = GameItem(0)
client.players = dict(map(lambda p: (p.id, p), players))
g.client = client
g.players = players
expected_average_rating = sum([conservative_estimate(p.global_rating) for p in players]) / len(players)
assert expected_average_rating == g.average_rating
