def get_his():
exchange = connect()
write_to_exchange(exchange, {"type": "hello", "team": team_name.upper()})
sm = ServerMessage(exchange)
priv_msg = Manipulate(None, exchange)
books, trades, open_, close = sm.get_current_book(100)
trades = sm.get_history_trade()
print(trades)
stas ={}
for trade in trades:
for item in trade:
if item in stas:
stas[item].append(trade[item]["price"])
else:
stas[item] = [trade[item]["price"]]
with open("/home/ubuntu/psfpy/stas.json", 'w', encoding="utf-8") as f:
json.dump(stas, f)
def main():
exchange = connect()
write_to_exchange(exchange, {"type": "hello", "team": team_name.upper()})
td = timedelta(seconds=1)
c = 0
sm = ServerMessage(exchange)
priv_msg = Manipulate(None, exchange)
while c<10:
c += 1
books, trades, open, close = sm.get_current_book(4)
print(books.keys())
print(len(trades))
my_stra = strategy_simple(priv_msg, books, trades)
print(my_stra)
if my_stra is None:
continue
else:
priv_msg.trade_process(my_stra["buy"], my_stra["sell"], time_out=5)
priv_msg.print_all()
pass
exchange.close()
while abs(lower - upper) > precision and iterations <= max_iter:
current_extr = (lower + upper) / 2
# находим производные в текущей точке и конечных точках отрезка
current_der = d(function, current_extr, precision)
lower_der = d(function, lower, precision)
upper_der = d(function, upper, precision)
states.append((lower, upper, current_extr))
# если производная в текущей точке отличается по знаку от производной
# на одном из концов отрезка, то мы сдвигаем другой конец в текущую точку
if lower_der * current_der < 0:
upper = current_extr
elif upper_der * current_der < 0:
lower = current_extr
iterations += 1
return states
# начальные данные
lower = -5
upper = 10
max_iter = 100
precision = 0.001
states = bisection(function, lower, upper, max_iter, precision)
manipulate = Manipulate(function, (lower, upper), states)
List containing numbers
Returns
-------
list
The sorted list
"""
for i in range(len(array) - 1):
for p in range(0, len(array) - i - 1):
if array[p + 1] < array[p]:
array[p], array[p + 1] = array[p + 1], array[p]
return array
if __name__ == '__main__':
m = Manipulate()
with open('../data.txt', 'r') as textFile:
objects = [m.countConsonants(i.strip()) for i in textFile.readlines()]
t1 = time.perf_counter()
# Will take ~49.1 minute(s) to complete if minimum system requirements are met
print(bubble_sort(objects))
t2 = time.perf_counter()
print(
f"Bubble Sort finished in {t2-t1} seconds. Array size: {len(objects)}")
