Memory Exception When Merging Large Volumes of Waveform Data Files Using wrdb.wrsamp()

I'm trying to merge multiple waveform data (.dat) files into a single file. I'm using the wrdb.wrsamp() function for this task. The total number of files is approximately 10,000 and each one has 3 channels. I've tried several times, but every attempt results in a memory exception, requiring more than 40GB of memory. I'm unsure if I am doing something incorrect.

I've been unable to find a method to write the files incrementally. My current approach is to read each sample, combine all signals into an array, and write them. While this works fine with a small number of files, I'm having difficulties when it comes to larger datasets. Each file contains over 6 minutes of data.

Any assistance insights or suggestions on this matter would be highly appreciated.

Comience reproduciendo la excepción de memoria reportada con wrdb.wrsamp() en varios archivos .dat e inspeccione cómo el flujo actual de lectura, combinación y escritura gestiona los arrays. Se considera completado establecer si se admite la escritura incremental e identificar la implementación y la prueba de regresión necesarias si no es así; el issue no menciona archivos ni pruebas.