qrs detection learning parameters, 'Failed to find * beats during learning'

I am having problems with the xqrs class.
I have to work with 1000 Hz real ecg signals.

I would like to know why can't the qrs detection learn initial signal parameters.

In my linked jupyter notebook (had to clear plot outputs of size problems), the function fails to learn on a generated perfect 1000 Hz signal and the interpolated 360 Hz version of it, yet the learning works on the interpolated 360 Hz version of the noisy signal but fails on the 1000 Hz version with wrong output.

When I tried to figure it out in the source code, it seemed like when the finding of beats happen, the ricker wavelet gets compared to wrong sample sized signal, so the wavelet might not be scaled up well.
( I might be completly wrong here)

Thanks for any help!

my representation of the issue:
MWE notebook
data for the example:
clear ecg data
noisy ecg data

Comienza con el wfdb_qrs_detection.ipynb enlazado y ejecuta sus ejemplos de xqrs con los datos de ECG limpios y ruidosos, tanto a 1000 Hz como a 360 Hz. Sigue el recorrido del aprendizaje y la detección de latidos, y luego compara los tamaños de muestra utilizados por la Ricker wavelet y la señal; se considera terminado cuando el fallo y el resultado incorrecto a 1000 Hz estén explicados o cubiertos por una corrección reproducible.