def __init__(self):
self.ais = [
ai.RandomAI(),
ai.BeijingAlgorithmAI(),
ai.MarkovChainAi(),
ai.RandomBiasedAi(),
]
self.stats = Stats()
def create_player():
if request.method == 'POST':
player = request.form['name']
# checking for existing player
existing = session.query(Stats).filter_by(player=player).scalar() is not None
# show flash message if player already exist
if existing:
flash("Player already exist. Try entering different name")
return redirect(url_for('create_player'))
# if player not exist then create new player in database
else:
new_player = Stats(player = player, game = 0, win = 0, lose = 0)
session.add(new_player)
session.commit()
return redirect(url_for('start_game'))
else:
return render_template('create_player.html')
def convert_from_dict_to_maze(data) -> Maze:
"""
Convert dict data to maze object\n
Returns: Maze object
"""
maze = Maze(
data["maze"],
data["width"],
data["height"],
data["start_coords"],
data["end_coords"],
)
if "stats" in data: # if maze has stats, add Stats() object
maze.Stats = Stats()
for stat in data["stats"]:
maze.Stats.solutions.append(stat)
return maze
def get(self):
stats = Stats()
stats.nr_of_users = 0
stats.nr_of_active_users = 0
stats.nr_of_playlists = len([i for i in Playlist.all()])
stats.nr_of_users_with_flattr_account = 0
stats.nr_of_flattrs = len([
i for i in Activity.all().filter('type =', 'outgoing').filter(
'verb =', 'flattr')
])
stats.nr_of_playlist_subscriptions = 0
stats.nr_of_follow_relations = len([i for i in FollowRelation.all()])
for user in YoutifyUser.all():
stats.nr_of_users += 1
if user.flattr_user_name:
stats.nr_of_users_with_flattr_account += 1
if user.playlist_subscriptions:
stats.nr_of_playlist_subscriptions += len(
user.playlist_subscriptions)
if user.last_login:
delta = datetime.now() - user.last_login
if delta.seconds < 3600 * 24 * 7:
stats.nr_of_active_users += 1
pings = []
last_ping = None
for m in PingStats.all().order('-date').fetch(6 * 24 * 7):
if last_ping is not None and last_ping.date.hour is not m.date.hour:
pings.append({
'date': str(last_ping.date),
'pings': last_ping.pings
})
last_ping = m
elif last_ping is None or m.pings > last_ping.pings:
last_ping = m
stats.pings = simplejson.dumps(pings)
stats.put()
def get(self):
stats = Stats()
stats.nr_of_users = 0
stats.nr_of_active_users = 0
try:
stats.nr_of_playlists = Playlist.all(keys_only=True).count(
read_policy=EVENTUAL_CONSISTENCY)
except:
pass
stats.nr_of_users_with_flattr_account = 0
stats.nr_of_users_with_dropbox = 0
try:
stats.nr_of_flattrs = Activity.all().filter(
'type =', 'outgoing').filter(
'verb =', 'flattr').count(read_policy=EVENTUAL_CONSISTENCY)
except:
pass
stats.nr_of_playlist_subscriptions = 0
try:
stats.nr_of_follow_relations = FollowRelation.all(
keys_only=True).count(read_policy=EVENTUAL_CONSISTENCY)
except:
pass
try:
for user in YoutifyUser.all():
stats.nr_of_users += 1
if user.flattr_user_name:
stats.nr_of_users_with_flattr_account += 1
if user.dropbox_user_name:
stats.nr_of_users_with_dropbox += 1
if user.playlist_subscriptions:
stats.nr_of_playlist_subscriptions += len(
user.playlist_subscriptions)
if user.last_login:
delta = datetime.now() - user.last_login
if delta.seconds < 3600 * 24 * 7:
stats.nr_of_active_users += 1
except:
pass
pings = []
last_ping = None
try:
for m in PingStats.all().order('-date').fetch(6 * 24 * 7):
if last_ping is not None and last_ping.date.hour is not m.date.hour:
pings.append({
'date': str(last_ping.date),
'pings': last_ping.pings
})
last_ping = m
elif last_ping is None or m.pings > last_ping.pings:
last_ping = m
except:
pass
stats.pings = simplejson.dumps(pings)
stats.put()
engine = create_engine('sqlite:///stats.db')
# Bind the engine to the metadata of the Base class so that the
# declaratives can be accessed through a DBSession instance
Base.metadata.bind = engine
DBSession = sessionmaker(bind=engine)
# A DBSession() instance establishes all conversations with the database
# and represents a "staging zone" for all the objects loaded into the
# database session object. Any change made against the objects in the
# session won't be persisted into the database until you call
# session.commit(). If you're not happy about the changes, you can
# revert all of them back to the last commit by calling
# session.rollback()
session = DBSession()
player1 = Stats(player="Sayed", game=0, win=0, lose=0)
session.add(player1)
session.commit()
player2 = Stats(player="Sohel", game=0, win=0, lose=0)
session.add(player2)
session.commit()
player3 = Stats(player="Jay", game=0, win=0, lose=0)
session.add(player3)
session.commit()
player4 = Stats(player="Tim", game=0, win=0, lose=0)
session.add(player4)
session.commit()
# Dataset samples, read .CSV file
csv_dataset = pd.read_csv('./data/Dataset.csv')
# dropping passed columns
csv_dataset.drop([
"Silica", "Fosfato", "Alumina", "Manganes", "Titanio", "Magnesio",
"Carbonato"
],
axis=1,
inplace=True)
x = csv_dataset.iloc[:, 1:].values #Predictors
y = csv_dataset.iloc[:, 0].values #To be Predicted
y = y.reshape(-1, 1) # needs 2D vector
arrays_RF5 = Stats()
arrays_RF20 = Stats()
arrays_MLP55 = Stats()
arrays_MLP2020 = Stats()
# For loop to vary the seed and train "training_qnt" times
for i in range(1, training_qnt + 1):
# splitting Dataset samples in train and test
x_train, x_test, y_train, y_test = train_test_split(x,
y,
test_size=1 / 3,
random_state=None)
# Get Regressors
regressor_RF5 = get_rf_regressor(5, 'mse')
regressor_RF20 = get_rf_regressor(20, 'mse')
def __init__(self):
self.stats = Stats()
