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AmenRa avatar AmenRa commented on July 23, 2024 1

Dear Paul,

The issue is probably due to numba (I cannot do anything about that) and a forced conversion of the strings used as ids to numba.types.unicode_type that I introduced to avoid errors when I implemented the fusion algorithms.

I have tested a snippet similar to yours (I do not save the Python dict in memory) with and without the conversion.
Memory usage went down from 2.42 GB to 1.59 GB (including ranx import).
The Python dict alone is around 1.15 GB.

I'll try to remove the forced conversion without breaking the fusion algorithms and get back to you.

Thanks for pointing it out!

from ranx.

AmenRa avatar AmenRa commented on July 23, 2024 1

Fixed in v0.3.15.

from ranx.

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