SNEWS Data Formats
This package contains common data models and utilities for standardizing data formats across SNEWS packages.
Features
- Data models for key SNEWS data types like messages and timestamps with validation via Pydantic
- Message models for different tiers like heartbeat, retraction, timing, significance, and coincidence
- Utilities for handling nanosecond timestamps and leap seconds
- Static data for supported detectors
- Generation of JSON schemas for data models
- Comprehensive testing suite
Getting Started
If you don't have poetry, install that first.
Install the package:
poetry install
Use it in your code:
from snews.models.messages import SignificanceTierMessage
message = SignificanceTierMessage(
detector_name="Super-K",
p_values: [0.43, 0.32, 0.01],
t_bin_width_sec: 5e-3
)
print(message.model_dump())
See the documentation for more details on the available data models and utilities.
See snews/examples for ipython notebooks.
Contributing
Contributions are welcome!
2 maintainers
Metadata
2 maintainers
Release files for snews-data-formats 1.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| snews_data_formats-1.1.1.tar.gz | 16.8 kB | Without provenance | Details for snews_data_formats-1.1.1.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
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| snews_data_formats-1.1.1-py3-none-any.whl | Python 3 | none | any | Details for snews_data_formats-1.1.1-py3-none-any.whl |
Total release size: 43.5 kB
Release files / snews_data_formats-1.1.1.tar.gz
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