def run(lineups=20, exposure=0.3):
roster_list, player_list = [], []
create_upload_file()
player_map = map_pids(DEFAULT_ARGS['pids'])
max_exposure = lineups * exposure
exposure = None
for _ in range(lineups):
args = DEFAULT_ARGS.copy()
if exposure:
args['banned'] = DEFAULT_ARGS['banned'] + [
name for name, freq in exposure.items() if freq > max_exposure
]
roster = optimizer_run('NFL', [], Namespace(**args))
# discard and replace duplicate lineups
if roster in roster_list:
while roster in roster_list:
args['banned'].append(random.choice(roster.players).name)
roster = optimizer_run('NFL', [], Namespace(**args))
roster_list.append(roster)
player_list += [p.name for p in roster.players]
update_upload_csv(player_map, roster.sorted_players()[:])
exposure = Counter(player_list)
unique = len(set([str(r.players) for r in roster_list]))
if unique != lineups:
raise Exception(
'Duplication error in logic. Expected {} and got {} lineups'.
format(lineups, unique))
def run(lineups=20, exposure=0.4, min_avg=7):
DEFAULT_ARGS['min_avg'] = min_avg
roster_list, player_list = [], []
create_upload_file()
player_map = map_pids(DEFAULT_ARGS['pids'])
max_exposure = lineups * exposure
exposure = None
for _ in range(lineups):
args = DEFAULT_ARGS.copy()
if exposure:
args['banned'] = DEFAULT_ARGS['banned'] + [
name for name, freq in exposure.items()
if freq > max_exposure
]
roster = optimizer_run('NBA', [], Namespace(**args))
# discard and replace duplicate lineups
if is_duplicate(roster, roster_list):
while is_duplicate(roster, roster_list):
args['banned'].append(
random.choice(roster.players).name
)
roster = optimizer_run('NBA', [], Namespace(**args))
roster_list.append(roster)
player_list += [p.name for p in roster.players]
update_upload_csv(
player_map,
roster.sorted_players()[:]
)
exposure = Counter(player_list)
unique = len(set([str(r.players) for r in roster_list]))
if unique != lineups:
raise Exception(
'Duplication error in logic. Expected {} and got {} lineups'
.format(lineups, unique)
)
scores = [r.projected() for r in roster_list]
print('Generated {} lineups.'.format(lineups))
print('Maximum score: {}'.format(numpy.max(scores)))
print('Minimum score: {}'.format(numpy.min(scores)))
print('Average score: {}'.format(numpy.average(scores)))
print('Median score: {}'.format(numpy.median(scores)))
def run(lineups=20, exposure=0.4, min_avg=7):
DEFAULT_ARGS['min_avg'] = min_avg
roster_list, player_list = [], []
create_upload_file()
player_map = map_pids(DEFAULT_ARGS['pids'])
max_exposure = lineups * exposure
exposure = None
for _ in range(lineups):
args = DEFAULT_ARGS.copy()
if exposure:
args['banned'] = DEFAULT_ARGS['banned'] + [
name for name, freq in exposure.items()
if freq > max_exposure
]
roster = optimizer_run('NFL', [], Namespace(**args))
# discard and replace duplicate lineups
if is_duplicate(roster, roster_list):
while is_duplicate(roster, roster_list):
args['banned'].append(
random.choice(roster.players).name
)
roster = optimizer_run('NFL', [], Namespace(**args))
roster_list.append(roster)
player_list += [p.name for p in roster.players]
update_upload_csv(
player_map,
roster.sorted_players()[:]
)
exposure = Counter(player_list)
unique = len(set([str(r.players) for r in roster_list]))
if unique != lineups:
raise Exception(
'Duplication error in logic. Expected {} and got {} lineups'
.format(lineups, unique)
)
scores = [r.projected() for r in roster_list]
print('Generated {} lineups.'.format(lineups))
print('Maximum score: {}'.format(numpy.max(scores)))
print('Minimum score: {}'.format(numpy.min(scores)))
print('Average score: {}'.format(numpy.average(scores)))
print('Median score: {}'.format(numpy.median(scores)))