I have this problem when I try to run the below code, I am using the Apple M1 and a python version 3.9.13, because compatiblity whith pandas and numpy. Anybody now how to solve this problem?

from backtesting import Backtest, Strategy
from backtesting.lib import crossover

from backtesting.test import SMA, GOOG

import datetime
import yfinance as yf

ticker = "GOOG"

start = datetime.datetime(2021,1,1)
end = datetime.datetime(2023,12,31)

ticker_ohlc = yf.download(ticker,start,end)

class SmaCross(Strategy):
n1=10
n2=70

def init(self):
 price = self.data.Close
 self.ma1 = self.I(SMA, price, self.n1)
 self.ma2 = self.I(SMA, price, self.n2)
def next(self):
 if crossover(self.ma1, self.ma2):
 self.buy()
 elif crossover(self.ma2, self.ma1):
 self.sell()

bt = Backtest(ticker_ohlc, SmaCross, cash=10000, commission=.002, exclusive_orders=True)
stats = bt.run()

print(stats)
print(stats['_trades'].tail(20))
print(stats['_equity_curve'].tail(20))

#bt.plot()

result_optimize, heatmap = bt.optimize(n1=range(5, 70, 5),
n2=range(10, 100, 5),
maximize='Equity Final [$]',
constraint=lambda param: param.n1 < param.n2,
return_heatmap=True)

#print(result_optimize)
#print(result_optimize['_strategy'])
print(heatmap)

hm = heatmap.groupby(['n1', 'n2']).mean().unstack()

print(hm)