Justin Visser
a0635544d9
Forwarding was a single global ForwardProb; make it a per-student composite (Config.ForwardChance): baseline propensity raised by the fake's Novelty, lowered by ambient HarmAwareness, and scaled down for an educated student by ProgramEffect (1 = today's hard block). RunCascade now takes a precomputed per-student []float64 chance and has no education special case. Defaults are behaviour-neutral, so the 82/58/6 golden tests are unchanged; the model is tuned in a later slice.
67 lines
2.2 KiB
Go
67 lines
2.2 KiB
Go
package engine
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import "testing"
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// ForwardChance is the additive composite the whole model rests on. These
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// pin the formula's shape (which lever pushes which way, the clamp, and how
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// the program scales an educated student) in terms of the weight constants,
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// so tuning the weights later does not silently break the relationships.
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func TestForwardChance(t *testing.T) {
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base := DefaultConfig() // ForwardProb 0.38, novelty/harm 0, programEffect 1
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t.Run("default not educated is the baseline", func(t *testing.T) {
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if got := base.ForwardChance(false); got != base.ForwardProb {
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t.Errorf("ForwardChance(false) = %v, want baseline %v", got, base.ForwardProb)
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}
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})
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t.Run("default educated never forwards under a full program", func(t *testing.T) {
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if got := base.ForwardChance(true); got != 0 {
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t.Errorf("ForwardChance(true) = %v, want 0 (programEffect 1)", got)
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}
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})
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t.Run("novelty raises forwarding", func(t *testing.T) {
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config := base
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config.Novelty = 1
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want := base.ForwardProb + noveltyWeight
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if got := config.ForwardChance(false); got != want {
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t.Errorf("ForwardChance = %v, want %v", got, want)
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}
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})
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t.Run("harm awareness lowers forwarding", func(t *testing.T) {
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config := base
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config.HarmAwareness = 0.5
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want := base.ForwardProb - harmAwarenessWeight*0.5
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if got := config.ForwardChance(false); got != want {
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t.Errorf("ForwardChance = %v, want %v", got, want)
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}
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})
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t.Run("clamps to zero", func(t *testing.T) {
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config := base
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config.HarmAwareness = 1 // 0.38 - 0.40 < 0
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if got := config.ForwardChance(false); got != 0 {
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t.Errorf("ForwardChance = %v, want clamped 0", got)
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}
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})
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t.Run("clamps to the ceiling", func(t *testing.T) {
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config := base
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config.ForwardProb = 0.9
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config.Novelty = 1 // 0.9 + 0.30 > 0.95
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if got := config.ForwardChance(false); got != maxForwardChance {
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t.Errorf("ForwardChance = %v, want clamped %v", got, maxForwardChance)
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}
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})
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t.Run("a softer program leaves some forwarding", func(t *testing.T) {
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config := base
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config.ProgramEffect = 0.5
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want := base.ForwardProb * 0.5
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if got := config.ForwardChance(true); got != want {
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t.Errorf("ForwardChance(true) = %v, want %v", got, want)
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}
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})
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}
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