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I'm using the Python version of the Fred Fréchet algorithm from this repository, specifically the discrete version with curves defined as CSV files. Each curve contains approximately 50,000 points. During execution, I noticed that the algorithm consumes about 9GB of RAM.
I'm looking for ways to reduce the memory usage. Does anyone have any ideas or suggestions on how to optimize this?
Thank you for your help!
The text was updated successfully, but these errors were encountered:
Hello,
I'm using the Python version of the Fred Fréchet algorithm from this repository, specifically the discrete version with curves defined as CSV files. Each curve contains approximately 50,000 points. During execution, I noticed that the algorithm consumes about 9GB of RAM.
I'm looking for ways to reduce the memory usage. Does anyone have any ideas or suggestions on how to optimize this?
Thank you for your help!
The text was updated successfully, but these errors were encountered: