def test_default_lineup():
players = _generate_test_player_data()
optimized = optimize(players)
ntools.assert_equal(
optimized.total,
50 + 48 + 46 + 44 + 42 + 40
)
def test_locked_teams():
players = _generate_test_player_data()
test_args = args_dict.copy()
test_args['locked_teams'] = [_GS]
optimized = optimize(players, cmd_args=Namespace(**test_args))
ntools.assert_equal(
optimized.total,
49 + 47 + 45 + 43 + 41 + 39
)
def test_locked_players():
players = _generate_test_player_data()
test_args = args_dict.copy()
test_args['locked'] = ['B', 'D']
optimized = optimize(players, cmd_args=Namespace(**test_args))
ntools.assert_equal(
optimized.total,
49 + 47 + 46 + 44 + 42 + 40
)
import scrapers
import dke_exceptions as dke
from pickem.pickem_command_line import get_args
from pickem.pickem_optimize import optimize, get_all_players
if __name__ == '__main__':
args = get_args()
if args.scrape_source:
try:
scrapers.scrape(args.scrape_source)
except KeyError:
raise dke.InvalidProjectionSourceException(
'You must choose from the following data sources {}.'
.format(scrapers.scrape_dict.keys())
)
all_players = get_all_players(
args.salary_file,
args.projection_file,
args.use_averages,
)
print(optimize(all_players, args))
from pickem.pickem_command_line import get_args
from pickem.pickem_optimize import optimize, get_all_players
if __name__ == '__main__':
args = get_args()
all_players = get_all_players(
args.salary_file,
args.projection_file,
args.use_averages,
)
print(optimize(all_players, args))