SciHist
Batch execution utilities for data pipelines.
Provides utilities for running functions over combinations of metadata, automatically loading inputs and saving outputs.
Usage
from scihist import for_each, Fixed
for_each(
process_data,
inputs={"raw": RawData, "calibration": Fixed(Calibration, session="baseline")},
outputs=[ProcessedData],
subject=[1, 2, 3],
session=["A", "B", "C"],
)
for_each
Executes a function for all combinations of metadata, loading inputs and saving outputs automatically.
Fixed
Wrapper to specify fixed metadata overrides for an input. Use when an input should be loaded with different metadata than the current iteration.
# Always load baseline from session="BL", regardless of current session
for_each(
compare_to_baseline,
inputs={
"baseline": Fixed(StepLength, session="BL"),
"current": StepLength,
},
outputs=[Delta],
subject=[1, 2, 3],
session=["A", "B", "C"],
)
1 maintainer
Metadata
1 maintainer
Release files for scihist 0.1.30
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| scihist-0.1.30.tar.gz | 3.6 kB | With provenance | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scihist-0.1.30-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.8 kB
Release files / scihist-0.1.30.tar.gz
| Download URL | scihist-0.1.30.tar.gz |
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| Size | 3.6 kB |
| Tags | Source |
|
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| Download URL | scihist-0.1.30-py3-none-any.whl |
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| Size | 4.2 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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