mldatafind
Law workflows for streamling gravitational wave data discovery for ML applications
Example
To run the example configuration, first build the container to your desired location
export CONTAINER_PATH=/path/to/mldatafind.sif
apptainer build $CONTAINER_PATH apptainer.def
Next, the Fetch task, which will query science segments and strain data, can be run using local resources
LAW_CONFIG_FILE=./example.cfg uv run law run mldatafind.law.tasks.Fetch --workflow local --local-scheduler --sandbox mldatafind::$CONTAINER_PATH
If you're on a machine with condor access like the LDG, the Fetch task can also trivially utilize condor resources by setting --workflow htcondor
LAW_CONFIG_FILE=./example.cfg uv run law run mldatafind.law.tasks.Fetch --workflow htcondor --local-scheduler --sandbox mldatafind::$CONTAINER_PATH
condor log files will be stored under the condor_directory argument of the Fetch task
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Metadata
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Release files for mldatafind 0.1.8
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| File | Size | Uploaded | Provenance | Actions |
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| mldatafind-0.1.8.tar.gz | 119.7 kB | Without provenance | Details for mldatafind-0.1.8.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| mldatafind-0.1.8-py3-none-any.whl | Python 3 | none | any | Details for mldatafind-0.1.8-py3-none-any.whl |
Total release size: 134.8 kB
Release files / mldatafind-0.1.8.tar.gz
| Download URL | mldatafind-0.1.8.tar.gz |
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| Size | 119.7 kB |
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SHA-256 checksum How to use checksums |
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Release files / mldatafind-0.1.8-py3-none-any.whl
| Download URL | mldatafind-0.1.8-py3-none-any.whl |
|---|---|
| Size | 15.1 kB |
| Tags | Python 3 |
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uv/0.7.13
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