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import { FP, FPVector } from '../../../../util/floating_point.js';
import { sparseScalarF16Range, sparseVectorF16Range } from '../../../../util/math.js';
import { makeCaseCache } from '../case_cache.js';
const divisionVectorScalarInterval = (v: readonly number[], s: number): FPVector => {
return FP.f16.toVector(v.map(e => FP.f16.divisionInterval(e, s)));
};
const divisionScalarVectorInterval = (s: number, v: readonly number[]): FPVector => {
return FP.f16.toVector(v.map(e => FP.f16.divisionInterval(s, e)));
};
const scalar_cases = ([true, false] as const)
.map(nonConst => ({
[`scalar_${nonConst ? 'non_const' : 'const'}`]: () => {
return FP.f16.generateScalarPairToIntervalCases(
sparseScalarF16Range(),
sparseScalarF16Range(),
nonConst ? 'unfiltered' : 'finite',
FP.f16.divisionInterval
);
},
}))
.reduce((a, b) => ({ ...a, ...b }), {});
const vector_scalar_cases = ([2, 3, 4] as const)
.flatMap(dim =>
([true, false] as const).map(nonConst => ({
[`vec${dim}_scalar_${nonConst ? 'non_const' : 'const'}`]: () => {
return FP.f16.generateVectorScalarToVectorCases(
sparseVectorF16Range(dim),
sparseScalarF16Range(),
nonConst ? 'unfiltered' : 'finite',
divisionVectorScalarInterval
);
},
}))
)
.reduce((a, b) => ({ ...a, ...b }), {});
const scalar_vector_cases = ([2, 3, 4] as const)
.flatMap(dim =>
([true, false] as const).map(nonConst => ({
[`scalar_vec${dim}_${nonConst ? 'non_const' : 'const'}`]: () => {
return FP.f16.generateScalarVectorToVectorCases(
sparseScalarF16Range(),
sparseVectorF16Range(dim),
nonConst ? 'unfiltered' : 'finite',
divisionScalarVectorInterval
);
},
}))
)
.reduce((a, b) => ({ ...a, ...b }), {});
export const d = makeCaseCache('binary/f16_division', {
...scalar_cases,
...vector_scalar_cases,
...scalar_vector_cases,
});
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