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It might be worthwhile to a) benchmark a broader set of models/utils, and b) minimize ad hoccode needed to achieve this.
Describe the solution you'd like
Maybe benchmark load/write for all test models provided by a models API as proposed in #1872, as well as any widely used pre/post-processing utils. Could also try ASV — it has been adopted by other projects like numpy, shapely, and pywatershed.
Describe alternatives you've considered
We could just stick with pytest-benchmark and a bit of scripting instead of moving to ASV.
Additional context
This would help quantify performance improvements from the ongoing effort to use pandas for file IO
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem? Please describe.
FloPy currently has a very small set of hand-rolled benchmarks, including
flopy/autotest/test_modflow.py
Line 1352 in 3e176d0
flopy/autotest/test_modpathfile.py
Line 264 in 3e176d0
It might be worthwhile to a) benchmark a broader set of models/utils, and b) minimize ad hoc code needed to achieve this.
Describe the solution you'd like
Maybe benchmark load/write for all test models provided by a models API as proposed in #1872, as well as any widely used pre/post-processing utils. Could also try ASV — it has been adopted by other projects like numpy, shapely, and pywatershed.
Describe alternatives you've considered
We could just stick with
pytest-benchmark
and a bit of scripting instead of moving to ASV.Additional context
This would help quantify performance improvements from the ongoing effort to use pandas for file IO
The text was updated successfully, but these errors were encountered: