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import { FP } from '../../../../../util/floating_point.js';
import { biasedRange, linearRange } from '../../../../../util/math.js';
import { makeCaseCache } from '../../case_cache.js';
// log2's accuracy is defined in three regions { [0, 0.5), [0.5, 2.0], (2.0, +∞] }
// Cases: [f32|f16|abstract]_[non_]const
const cases = (['f32', 'f16', 'abstract'] as const)
.flatMap(trait =>
([true, false] as const).map(nonConst => ({
[`${trait}_${nonConst ? 'non_const' : 'const'}`]: () => {
if (trait === 'abstract' && nonConst) {
return [];
}
return FP[trait].generateScalarToIntervalCases(
[
...linearRange(FP[trait].constants().positive.min, 0.5, 20),
...linearRange(0.5, 2.0, 20),
...biasedRange(2.0, 2 ** 32, 1000),
...FP[trait].scalarRange(),
],
nonConst ? 'unfiltered' : 'finite',
// log2 has an absolute or ulp accuracy, so is only expected to be as accurate as f32
FP[trait !== 'abstract' ? trait : 'f32'].log2Interval
);
},
}))
)
.reduce((a, b) => ({ ...a, ...b }), {});
export const d = makeCaseCache('log2', cases);
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