def evaluate( game, player):
if(game._statskey_forced):
start = dt.datetime.now()
result_row = 0
for r in game.ROWS:
r = max_continuous( [game.board[r,c] for c in game.COLS], player )
result_row = max( result_row, r )
# print result_row
result_col = 0
for c in game.COLS:
r = max_continuous( [game.board[r,c] for r in game.ROWS], player )
result_col = max( result_col, r )
# print result_col
result_d1 = 0
for d1 in game.DIAG:
r = max_continuous( [game.board[m.row,m.col] for m in game.DIAG1(d1)], player )
result_d1 = max( result_d1, r )
# print result_d1
result_d2 = 0
for d2 in game.DIAG:
r = max_continuous( [game.board[m.row,m.col] for m in game.DIAG2(d2)], player )
result_d2 = max( result_d2, r )
# print result_d2
if(game._statskey_forced):
end = dt.datetime.now()
stats.collect(game._statskey_forced, (end-start).total_seconds())
return max( result_row, result_col, result_d1, result_d2 )
def evaluate_cached(game, player):
if (game._statskey_cached):
start = dt.datetime.now()
k = (game.board.hash << 2) + (player % 4)
if (not game._cache.has_key(k)):
v = game.evaluate(player)
game._cache[k] = v
if (game._statskey_cached):
end = dt.datetime.now()
stats.collect(game._statskey_cached, (end - start).total_seconds())
return game._cache[k]
def evaluate_cached(game, player):
if(game._statskey_cached):
start = dt.datetime.now()
k = (game.board.hash << 2)+(player%4)
if( not game._cache.has_key( k ) ):
v = game.evaluate(player)
game._cache[k] = v
if(game._statskey_cached):
end = dt.datetime.now()
stats.collect(game._statskey_cached, (end-start).total_seconds())
return game._cache[k]
def evaluate(game, player):
if (game._statskey_forced):
start = dt.datetime.now()
result_row = 0
for r in game.ROWS:
r = max_continuous([game.board[r, c] for c in game.COLS], player)
result_row = max(result_row, r)
# print result_row
result_col = 0
for c in game.COLS:
r = max_continuous([game.board[r, c] for r in game.ROWS], player)
result_col = max(result_col, r)
# print result_col
result_d1 = 0
for d1 in game.DIAG:
r = max_continuous(
[game.board[m.row, m.col] for m in game.DIAG1(d1)], player)
result_d1 = max(result_d1, r)
# print result_d1
result_d2 = 0
for d2 in game.DIAG:
r = max_continuous(
[game.board[m.row, m.col] for m in game.DIAG2(d2)], player)
result_d2 = max(result_d2, r)
# print result_d2
if (game._statskey_forced):
end = dt.datetime.now()
stats.collect(game._statskey_forced, (end - start).total_seconds())
return max(result_row, result_col, result_d1, result_d2)
from datetime import datetime
import requests
import stats
if __name__=="__main__":
print "Starting to collect stats..."
while True:
t = localtime()
time = ":".join([str(t) for t in [t.tm_hour,t.tm_min,t.tm_sec]])
print "Collecting stats at "+time
now = str(datetime.utcnow())
date = now[:11]
time = "-".join(now[-15:-7].split(":"))
filename = "stats/records/"+date+"/"+time+".json"
dirname = os.path.dirname(filename)
if not os.path.exists(dirname):
os.makedirs(dirname)
# collect and record stats, silently failing if we don't have an internet connection
try:
stats.record(*stats.collect(), filename=filename)
except requests.exceptions.ConnectionError:
pass
# sleep for 30 mins
sleep(1800)
