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.

首先，在多个 .dat 文件上使用 wrdb.wrsamp() 重现报告的内存异常，并检查当前的读取、合并和写入流程如何处理数组。完成的标准是确定是否支持增量写入；如果不支持，则确定所需的实现和回归测试；该 issue 未指定任何文件或测试。