using System.Collections.Generic; using ExperionCrawler.Infrastructure.Control; using Xunit; namespace ExperionCrawler.Tests; // §10.3 온도 역전 판정. trays = 하단→상단 조성 트레이(A,B,C), 정상 A≥B≥C. public class TempProfileJudgeTests { private static List<(string, double, bool)> T(double a, double b, double c, bool good = true) => new() { ("A", a, good), ("B", b, good), ("C", c, good) }; const double Tol = 0.5, Warn = 0.5, Coll = 0.3; [Fact] public void Normal_monotonic_seeds_span() { var r = TempProfileJudge.Evaluate(T(90, 85, 82), spanRef: double.NaN, Tol, Warn, Coll); Assert.Equal("정상", r.State); Assert.Equal(8, r.Span, 6); // A−C = 90−82 Assert.Null(r.InversionPair); } [Fact] public void Inversion_when_upper_hotter() { // C(상단)가 B(하단)보다 tolInv 이상 뜨거움 → 역전 var r = TempProfileJudge.Evaluate(T(90, 80, 85), spanRef: 8, Tol, Warn, Coll); Assert.Equal("온도역전", r.State); Assert.Equal("B-C", r.InversionPair); } [Fact] public void Small_nonmonotonic_within_tol_is_not_inversion() { // B−C = -0.2 (데모 노이즈 수준) → tolInv 0.5 내라 역전 아님 var r = TempProfileJudge.Evaluate(T(79.2, 78.47, 78.69), spanRef: double.NaN, Tol, Warn, Coll); Assert.NotEqual("온도역전", r.State); } [Fact] public void Collapse_when_span_below_fraction() { // spanRef=10, span = 90−88 = 2 < 0.3*10=3 → 붕괴 var r = TempProfileJudge.Evaluate(T(90, 89, 88), spanRef: 10, Tol, Warn, Coll); Assert.Equal("프로파일붕괴", r.State); } [Fact] public void Weakening_between_warn_and_collapse() { // spanRef=10, span = 90−86 = 4 (3<4<5) → 약화 var r = TempProfileJudge.Evaluate(T(90, 88, 86), spanRef: 10, Tol, Warn, Coll); Assert.Equal("약화", r.State); } [Fact] public void Bad_tray_is_input_insufficient() { var r = TempProfileJudge.Evaluate(T(90, 85, 82, good: false), spanRef: 8, Tol, Warn, Coll); Assert.Equal("입력부족", r.State); } }