Utility functions for deterministic geographic data sampling
Project description
geocache-utils
Utility functions for deterministic geographic data sampling across Python versions.
Installation
pip install geocache-utils
Usage
from geocache_utils import configure_deterministic_sampling
# Call once at startup to ensure cross-version reproducibility
configure_deterministic_sampling()
Why?
Python 3.9 changed the internal algorithm used by random.sample() for
large populations (see bpo-33622).
This means that code using seeded randomness can produce different results
on Python 3.8 vs 3.11+, even with the same seed.
geocache-utils provides a thin compatibility shim that normalises
sampling behaviour for geographic datasets so results stay reproducible
regardless of the interpreter version.
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