is that bug? bt.optimize doesnt work for 0.6.2 and 0.6.3

[zonlee181]

there my code

import datetime
import pandas_ta as ta
import pandas as pd
import seaborn as sns

from backtesting import Backtest
from backtesting import Strategy
from backtesting.lib import crossover
from backtesting.test import GOOG

class RsiOscillator(Strategy):

    upper_bound = 70
    lower_bound = 30
    rsi_window = 14


    def init(self):
        self.rsi = self.I(ta.rsi, pd.Series(self.data.Close), self.rsi_window)

    def next(self):
        if crossover(self.rsi, self.upper_bound):
            self.position.close()
        elif crossover(self.lower_bound, self.rsi):
            self.buy()

bt = Backtest(GOOG, RsiOscillator, cash=10_000, commission=.002)
stats = bt.run()

stats, heatmap = bt.optimize(
        upper_bound = range(50,85,5),
        lower_bound = range(15,45,5),
        rsi_window = range(10,30,2),
        maximize='Equity Final [$]',
        return_heatmap=True)


hm = heatmap.groupby(["upper_bound","lower_bound"]).mean().unstack()
sns.heatmap(hm, cmap="plasma")
plt.show()

here output for 0.6.1

here output for 0.6.2, 0.6.3 stucked on progress bar

[kernc]

Likely a case of #1242. Please confirm.

[zonlee181]

no, it doen't prompt any error , it just stucked at tqdm bar,
i leave it run for 1 hour, it still 0

python 3.12.9
bokeh.version: 3.6.3
win10
jupyter notebook

[webspiderc]

I have the 0.6.3 updated. I try to run "Multiple Time Frames" example python file then it works fine.
But when I try to run the jpynb. The same problem above happens.
I tried on 0.6.2, it is the same as 0.6.3.
When I restore to 0.6.1, both py and jpynb works fine !

It looks like when optimising the process doesn't fork !

[zonlee181]

according to webspiderc replied.
i run .py file. it show output same as #1242

i code it using jupter notebook, it show different output

[webspiderc]

No, my case is
@ 0.6.3
py file run without error
jpynb file run with #1242

[zonlee181]

webspiderc you right, may be jupyter notebook not compatible