func TestEEOAdverseImpactDryRun(t *testing.T)

Read the equation

This relation defines no demographics row. So among candidates who have demographics (i%10 != 0): in the source section “func TestEEOAdverseImpactDryRun(t *testing.T)”. Uses a remainder or modular operation, retaining the numeric representation used in the source. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

1. Read no demographics row. So among candidates who have demographics (i%10 != 0): as the quantity being defined or updated by this relation.

2. Uses a remainder or modular operation, retaining the numeric representation used in the source.

3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

• This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.

Original context

		}
	})

	t.Run("ScreeningDetectsGenderDisparity", func(t *testing.T) {
		// In the screening stage, candidates at even index get band green (screened in).
		// The gender assignment is ws5GenderValues[i%10]. For i%10 in {0,3,5,8,9} the gender
		// is male; for {1,4,6,9} it is female; for {2,7} it is non_binary. But index 0 has
		// no demographics row. So among candidates who have demographics (i%10 != 0):
		//   male: positions 3,5,8,9 of each 10 block. Even: 8. Count per 10 = 4 from {3,5,8,9}.
		//   Among those, even (screened in): 8 is even. So male screened = varies.
		// Rather than recomputing the exact arithmetic here, we just assert the report produced
		// impact ratios for at least two known gender groups, which was already checked above.
		// This sub test is a commentary anchor: the disparity outcome is sample dependent.
		found := map[string]bool{}
		for _, row := range rep.Screening.ByGender {
			if row.ImpactRatio != "n/a" {
				found[row.Group] = true
			}

no demographics row. So among candidates who have demographics (i%10 != 0):

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