Tests are based on the four validation tracks from Sandhu et al 2022, Ecological Modelling. Stored data include repeatable single-core simulations of 500 eagles--the full test suite takes 8.5 minutes on my macbook. There isn't continuous integration but you can manually run the reg tests with the tests/test.py script (FYI, @rthedin). First time through is a little bit messy on the screen because of how the elevation package does SRTM data retrieval, but subsequent runs should result in:
Selecting HRRR atmospheric data through the wtk_source option... admittedly, the HRRR has nothing to do with the WIND Toolkit, but this code mod was less intrusive
Also there are two bug fixes that should be inconsequential:
Tests are based on the four validation tracks from Sandhu et al 2022, Ecological Modelling. Stored data include repeatable single-core simulations of 500 eagles--the full test suite takes 8.5 minutes on my macbook. There isn't continuous integration but you can manually run the reg tests with the
tests/test.py
script (FYI, @rthedin). First time through is a little bit messy on the screen because of how the elevation package does SRTM data retrieval, but subsequent runs should result in:On-screen simulation output gets redirected to
log.rtest
.@rimplesandhu, this commit https://github.com/NREL/SSRS/commit/ccc170c9968e538386dac2e452f8291b1b881550 has the fixes to give us similar results as your original code.
In addition, this PR introduces new capabilities:
terrain_data_source
-- https://github.com/NREL/SSRS/commit/3cda4bea316ac7c5a293583d5ddaed4253297cf8wtk_source
option... admittedly, the HRRR has nothing to do with the WIND Toolkit, but this code mod was less intrusiveAlso there are two bug fixes that should be inconsequential: