Open nweires opened 8 months ago
File | Coverage | |
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All files | 87% |
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base.py | 92% |
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exc.py | 57% |
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hpc.py | 78% |
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local.py | 70% |
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postprocessing.py | 85% |
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sample_one_county.py | 77% |
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utils.py | 92% |
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cloud/docker_base.py | 88% |
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sampler/base.py | 79% |
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sampler/downselect.py | 33% |
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sampler/precomputed.py | 93% |
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sampler/residential_quota.py | 61% |
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test/shared_testing_stuff.py | 85% |
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test/test_docker.py | 33% |
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test/test_local.py | 97% |
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test/test_validation.py | 97% |
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workflow_generator/base.py | 90% |
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workflow_generator/commercial.py | 53% |
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workflow_generator/residential_hpxml.py | 86% |
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Minimum allowed coverage is 33%
Generated by :monkey: cobertura-action against 6beba8c7c54b6d52c55c6da82b275b6eb2625030
@nweires I might be misunderstanding something, but isn't this what the Residential Quota Downselect Sampler is for?
@nweires I might be misunderstanding something, but isn't this what the Residential Quota Downselect Sampler is for?
Ah, yes, I should add some context for why this is useful! You can do the same thing with the downselect sampler, but this is much faster, especially rural locations with very few building. I'll put some notes about that in the script and PR description.
Pull Request Description
Add a script that runs the residential quota sampler for a single county+PUMA.
Using the downselect sampler to do the same thing works, but it gets very slow when you filter aggressively. For example, generating 100 buildings for a single rural county took more than an hour to run. With this script, it takes just a few minutes. A similar option for ComStock exists here.
Checklist
minimum_coverage
in.github/workflows/coverage.yml
as necessary.Update validation for project config yaml file changesUpdate existing documentationRun a small batch run on Kestrel/Eagle to make sure it all works if you made changes that will affect Kestrel/Eagle