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import { FP } from '../../../../../util/floating_point.js';
import { makeCaseCache } from '../../case_cache.js';

// Cases: [f32|f16|abstract]_[non_]const
const scalar_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].generateScalarPairToIntervalCases(
          FP[trait].scalarRange(),
          FP[trait].scalarRange(),
          nonConst ? 'unfiltered' : 'finite',
          // distance has an inherited accuracy, so is only expected to be as accurate as f32
          FP[trait !== 'abstract' ? trait : 'f32'].distanceInterval
        );
      },
    }))
  )
  .reduce((a, b) => ({ ...a, ...b }), {});

// Cases: [f32|f16|abstract]_vecN_[non_]const
const vec_cases = (['f32', 'f16', 'abstract'] as const)
  .flatMap(trait =>
    ([2, 3, 4] as const).flatMap(dim =>
      ([true, false] as const).map(nonConst => ({
        [`${trait}_vec${dim}_${nonConst ? 'non_const' : 'const'}`]: () => {
          if (trait === 'abstract' && nonConst) {
            return [];
          }
          return FP[trait].generateVectorPairToIntervalCases(
            FP[trait].sparseVectorRange(dim),
            FP[trait].sparseVectorRange(dim),
            nonConst ? 'unfiltered' : 'finite',
            // distance has an inherited accuracy, so is only expected to be as accurate as f32
            FP[trait !== 'abstract' ? trait : 'f32'].distanceInterval
          );
        },
      }))
    )
  )
  .reduce((a, b) => ({ ...a, ...b }), {});

export const d = makeCaseCache('distance', {
  ...scalar_cases,
  ...vec_cases,
});