Load large files without killing process python

Load large files without killing process python - memory management

I am creating a compression algorithm using python - however, when loading large files and datasets (usually 1 or 2 gb+), the process is killed do to running out of RAM. What tools and methods are available to allow saving memory, while also having the entire file available to access and iterate too. The current code is right here (dev branch).

source https://stackoverflow.com/questions/72020651/load-large-files-without-killing-process-python-memory-management

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Prop `className` did not match in next js app

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