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HyperLogLog cardinality estimate: estimate truncated instead of rounded · case 05

Reported counts are systematically one lower whenever the fractional part is at least one half.

Member previewVariant 5 · 3 implementations · 10 checks per implementation

Case contract

Input {regs} with 16, 32, 64 or 128 registers. alpha is 0.673, 0.697, 0.709 for m = 16, 32, 64 and 0.7213/(1 + 1.079/m) otherwise. Raw E = alpha m^2 / sum 2^-r. If E <= 2.5m and V (zero registers) > 0, use linear counting m ln(m/V); otherwise if E > 2^32/30 apply the large-range correction -2^32 ln(1 - E/2^32). Return [round(E), V].

Why this case matters

Distinct-count dashboards and query planners rely on the bias corrections of the HyperLogLog estimator at both small and large cardinalities.

One recorded failure

Sample boundary fixture

This sample comes from the broken implementation of a controlled reproducer.

Boundary fixtureActualExpectedOutcome
sparse m=16[7, 10][8, 10]Failed

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