High cpu usage after fit() with Jupyter notebook

[findyy99]

Hi, I am using fitter on the MacBook Pro 2021 with the Jupyter notebook. Recently, I found that after running the Fitter.fit(), the cpu usage monitor shows that a python thread usage is 100%. Then I tried run the Fitter.fit() in the terminal, it was totally fine.

I have checked the log of Jupyter notebook, everything is fine.

[findyy99]

update

/Users/findyy/opt/miniconda3/envs/d2l/lib/python3.10/site-packages/scipy/integrate/_quadpack_py.py:1151: IntegrationWarning: The maximum number of subdivisions (50) has been achieved.
  If increasing the limit yields no improvement it is advised to analyze 
  the integrand in order to determine the difficulties.  If the position of a 
  local difficulty can be determined (singularity, discontinuity) one will 
  probably gain from splitting up the interval and calling the integrator 
  on the subranges.  Perhaps a special-purpose integrator should be used.
  quad_r = quad(f, low, high, args=args, full_output=self.full_output,

if there has warning when fitting, the CPU usage monitor will show the python thread is 100% even after the fit(). I don't know if this is a question about spicy.