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#[test]
fn test_issue_012_statistics_includes_geometric_mean() {
// ARRANGE
let values = vec![1.0, 2.0, 4.0, 8.0];
// ACT
let stats = Statistics::calculate(&values);
// ASSERT: Statistics should include geometric mean
assert!(stats.geometric_mean_ms > 0.0);
assert!((stats.geometric_mean_ms - 2.828).abs() < 0.01);
}
#[test]
fn test_issue_012_statistics_includes_harmonic_mean() {
// ARRANGE
let values = vec![1.0, 2.0, 4.0];
// ACT
let stats = Statistics::calculate(&values);
// ASSERT: Statistics should include harmonic mean
assert!(stats.harmonic_mean_ms > 0.0);
assert!((stats.harmonic_mean_ms - 1.714).abs() < 0.01);
}
// ============================================================================
// Issue #12 Phase 1: JSON Schema Tests (RED Phase)
// ============================================================================
#[test]
fn test_issue_012_json_schema_serializable() {
// ARRANGE
let stats = Statistics {
mean_ms: 10.0,
median_ms: 9.5,
stddev_ms: 1.5,
min_ms: 8.0,
max_ms: 12.0,
variance_ms: 2.25,
mad_ms: 1.0,
geometric_mean_ms: 9.8,
harmonic_mean_ms: 9.6,
outlier_indices: vec![4],
memory: None,
};
// ACT: Serialize to JSON
let json = serde_json::to_string(&stats);
// ASSERT: Should serialize successfully
assert!(json.is_ok());
let json_str = json.unwrap();
assert!(json_str.contains("mean_ms"));
assert!(json_str.contains("mad_ms"));
assert!(json_str.contains("geometric_mean_ms"));
assert!(json_str.contains("harmonic_mean_ms"));
assert!(json_str.contains("outlier_indices"));
}
#[test]
fn test_issue_012_benchmark_output_has_schema() {
// ARRANGE
let _output = BenchmarkOutput {
version: "1.0.0".to_string(),
timestamp: "2025-11-05T00:00:00Z".to_string(),
environment: Environment {
cpu: "Test CPU".to_string(),
ram: "16GB".to_string(),
os: "Linux".to_string(),
hostname: "test".to_string(),
bashrs_version: "6.31.0".to_string(),
},
benchmarks: vec![],
};
// ACT: Generate JSON schema
let schema = schemars::schema_for!(BenchmarkOutput);
let schema_json = serde_json::to_string_pretty(&schema);
// ASSERT: Schema should be generated
assert!(schema_json.is_ok());
let schema_str = schema_json.unwrap();
assert!(schema_str.contains("BenchmarkOutput"));
assert!(schema_str.contains("properties"));
}
// ============================================================================
// Issue #12 Phase 2: Welch's t-test Tests (RED Phase)
// ============================================================================
#[test]
fn test_issue_012_phase2_welch_t_test_equal_means() {
// ARRANGE: Two samples with identical means
let sample1 = vec![10.0, 11.0, 12.0, 13.0, 14.0];
let sample2 = vec![10.0, 11.0, 12.0, 13.0, 14.0];
// ACT
let t_statistic = welch_t_test(&sample1, &sample2);
// ASSERT: t-statistic should be ~0 for identical distributions
assert!(t_statistic.abs() < 0.01);
}
#[test]
fn test_issue_012_phase2_welch_t_test_different_means() {
// ARRANGE: Two samples with clearly different means
let sample1 = vec![10.0, 11.0, 12.0, 13.0, 14.0]; // mean = 12
let sample2 = vec![20.0, 21.0, 22.0, 23.0, 24.0]; // mean = 22
// ACT
let t_statistic = welch_t_test(&sample1, &sample2);
// ASSERT: t-statistic should be large (significant difference)
assert!(t_statistic.abs() > 5.0);
}
#[test]
fn test_issue_012_phase2_statistical_significance() {
// ARRANGE: Two samples with different means
let sample1 = vec![10.0, 11.0, 12.0, 13.0, 14.0];
let sample2 = vec![20.0, 21.0, 22.0, 23.0, 24.0];
// ACT
let is_significant = is_statistically_significant(&sample1, &sample2, 0.05);
// ASSERT: Should detect significant difference
assert!(is_significant);
}
#[test]
fn test_issue_012_phase2_not_statistically_significant() {
// ARRANGE: Two samples with similar means and high variance
let sample1 = vec![10.0, 15.0, 20.0, 25.0, 30.0];
let sample2 = vec![12.0, 17.0, 22.0, 27.0, 32.0];
// ACT
let is_significant = is_statistically_significant(&sample1, &sample2, 0.05);
// ASSERT: Result is boolean (no specific assertion on significance)
// The actual significance depends on the statistical calculation
let _ = is_significant; // Test validates function doesn't panic
}
// ============================================================================
// Issue #12 Phase 2: Comparison Results Tests (RED Phase)
// ============================================================================
#[test]
fn test_issue_012_phase2_comparison_result_structure() {
// ARRANGE
let sample1 = vec![10.0, 11.0, 12.0];
let sample2 = vec![20.0, 21.0, 22.0];
// ACT
let comparison = compare_benchmarks(&sample1, &sample2);
// ASSERT: Comparison should have all required fields
assert!(comparison.speedup > 0.0);
assert!(comparison.t_statistic.abs() > 0.0);
assert!(comparison.p_value >= 0.0 && comparison.p_value <= 1.0);
// is_significant is boolean - no need to assert tautology
}
#[test]
fn test_issue_012_phase2_speedup_calculation() {
// ARRANGE
let baseline = vec![20.0, 22.0, 24.0]; // mean = 22
let optimized = vec![10.0, 11.0, 12.0]; // mean = 11
// ACT
let comparison = compare_benchmarks(&baseline, &optimized);
// ASSERT: Speedup should be ~2x (22/11)
assert!((comparison.speedup - 2.0).abs() < 0.1);
}
#[test]
fn test_issue_012_phase2_slowdown_detection() {
// ARRANGE
let baseline = vec![10.0, 11.0, 12.0]; // mean = 11
let slower = vec![20.0, 22.0, 24.0]; // mean = 22
// ACT
let comparison = compare_benchmarks(&baseline, &slower);
// ASSERT: Speedup should be ~0.5x (regression)
assert!(comparison.speedup < 1.0);
assert!((comparison.speedup - 0.5).abs() < 0.1);
}
// ============================================================================
// Issue #12 Phase 2: Regression Detection Tests (RED Phase)
// ============================================================================
#[test]
fn test_issue_012_phase2_detect_regression_significant() {
// ARRANGE
let baseline = vec![10.0, 11.0, 12.0, 13.0, 14.0]; // mean = 12
let current = vec![20.0, 21.0, 22.0, 23.0, 24.0]; // mean = 22 (slower)
// ACT
let regression = detect_regression(&baseline, ¤t, 0.05);
// ASSERT: Should detect regression
assert!(regression.is_regression);
assert!(regression.speedup < 1.0);
assert!(regression.is_statistically_significant);
}
include!("bench_tests_extracted_issue_issue.rs");