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Memory usage by readsav() is problematic, and may also be slowing it down. Example: 7MB IDL SAVE file:
hyer aerosol_users 6860436 May 18 21:31 test.idldat
Attempt to read file, including time and memory profiling:
%%time %memit qq=readsav('test.idldat',python_dict=True) # same result with python_dict=False
profiling result indicating VERY slow and VERY memory-intensive:
peak memory: 267.28 MiB, increment: 69.73 MiB CPU times: user 35.2 s, sys: 525 ms, total: 35.7 s Wall time: 35.6 s
Version info:
import sys, scipy, numpy; print(scipy.__version__, numpy.__version__, sys.version_info) 1.5.2 1.19.2 sys.version_info(major=3, minor=6, micro=13, releaselevel='final', serial=0)
The text was updated successfully, but these errors were encountered:
@ejhyer any chance you can provide a reproducer? This cannot easily be investigated like this.
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Memory usage by readsav() is problematic, and may also be slowing it down. Example:
7MB IDL SAVE file:
Attempt to read file, including time and memory profiling:
profiling result indicating VERY slow and VERY memory-intensive:
Version info:
The text was updated successfully, but these errors were encountered: