Language: Python · Sphere: programming · Category: Performance
Signature: () → None
HyperLogLog probabilistic cardinality estimator implementation.
This module provides a HyperLogLog class for estimating the cardinality (number of distinct elements) of large datasets with minimal memory usage.
When it runs, hyperloglog guarantees abs(est - 1000.0) < 50.0; abs(est2 - 1000.0) < 50.0; abs(merged - 1500.0) < 75.0 (proven by run).
Checkable constraints:
abs(est - 1000.0) < 50.0est_after == estabs(est2 - 1000.0) < 50.0abs(merged - 1500.0) < 75.0hll.estimate_cardinality() == merged
- Green-run: ✓ passes (re-run under the extractor's gate)
- Constraint strength: recovery (truth-pinned)
- Independent oracle: — none yet (green-run candidate; not an axiom under the frozen ruler)
- Peer review: unreviewed
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