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refactor: Move SIMD performance test to proper benchmark
- Extract performance validation from test suite to dedicated benchmark - Add simd_json_performance_validation benchmark in benches/ directory - Update Cargo.toml with proper benchmark configuration - Remove benchmarking logic from integration test to maintain test clarity
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‎module/move/unilang/Cargo.toml‎

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@@ -189,6 +189,11 @@ name = "performance_stress_test"
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path = "benches/performance_stress_test.rs"
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harness = false
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[[bench]]
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name = "simd_json_performance_validation"
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path = "benches/simd_json_performance_validation.rs"
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harness = false
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# Removed benchmark test entries for deleted files:
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# - exponential_benchmark.rs (redundant with throughput)
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# - framework_comparison.rs (2-way comparison removed)

‎module/move/unilang/benches/simd_json_performance_validation.rs‎

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//! SIMD JSON performance validation benchmark
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//!
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//! This benchmark validates SIMD JSON parsing performance using benchkit
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//! comparative analysis against standard `serde_json` parsing.
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#![allow(dead_code)]
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use unilang::simd_json_parser::SIMDJsonParser;
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#[cfg(feature = "benchmarks")]
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use benchkit::prelude::*;
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#[cfg(feature = "benchmarks")]
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use serde_json::Value as SerdeValue;
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fn main() {
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#[cfg(feature = "benchmarks")]
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{
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println!( "🚀 SIMD Performance Validation using Benchkit" );
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println!( "=============================================" );
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// Generate medium-sized JSON for performance testing
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let mut test_json = r#"{"performance_test":{"data":["#.to_string();
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for i in 0..500
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{
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if i > 0 { test_json.push(','); }
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use core::fmt::Write;
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write!( &mut test_json,
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r#"{{"id":{i},"name":"item{i}","value":{},"tags":["tag1","tag2"],"meta":{{"created":"2024-01-01","active":{}}}}}"#,
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f64::from(i) * 1.5, i % 2 == 0
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).unwrap();
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}
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test_json.push_str( "]}}" );
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println!( "📊 JSON payload size: {} bytes", test_json.len() );
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println!( "🧪 Running comparative analysis..." );
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let simd_json_data = test_json.clone();
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let serde_json_data = test_json.clone();
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let comparison = ComparativeAnalysis::new( "simd_performance_validation" )
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.algorithm( "simd_json", move ||
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{
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let _ = SIMDJsonParser::parse_to_serde_value( &simd_json_data ).unwrap();
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})
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.algorithm( "serde_json", move ||
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{
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let _ = serde_json::from_str::<SerdeValue>( &serde_json_data ).unwrap();
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});
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let report = comparison.run();
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// Display comprehensive benchmark results
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println!( "📈 Performance Results:" );
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for ( name, result ) in report.sorted_by_performance()
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{
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println!( " • {}: {:.0} ops/sec ({:.3}ms)", name, result.operations_per_second(), result.mean_time().as_secs_f64() * 1000.0 );
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}
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// Calculate and validate performance expectations
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if let Some( ( fastest_name, fastest_result ) ) = report.fastest()
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{
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if let Some( ( slowest_name, slowest_result ) ) = report.slowest()
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{
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let speedup = slowest_result.mean_time().as_nanos() as f64 / fastest_result.mean_time().as_nanos() as f64;
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println!( "⚡ Speedup: {fastest_name} is {speedup:.2}x faster than {slowest_name}" );
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// Validate performance characteristics with realistic expectations
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if fastest_name == "simd_json"
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{
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println!( "✅ SIMD JSON outperforms standard JSON parsing" );
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}
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else
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{
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println!( "⚠️ Standard serde_json outperformed SIMD (may indicate debug build, small payload, or sub-optimal conditions)" );
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}
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// Performance validation - SIMD should be reasonable but may not always win
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// In debug builds or with certain payload characteristics, serde_json might be faster
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let performance_difference = ( slowest_result.mean_time().as_nanos() as f64 / fastest_result.mean_time().as_nanos() as f64 ) - 1.0;
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if performance_difference > 5.0 {
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println!( "⚠️ Performance difference is extreme ({:.1}x) - investigate SIMD implementation", performance_difference + 1.0 );
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} else {
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println!( "✅ Performance validation passed - algorithms perform within reasonable bounds" );
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}
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}
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}
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// Display SIMD capability information
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println!( "🔧 SIMD Capability Detection:" );
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println!( " • SIMD support: {}", SIMDJsonParser::is_simd_supported() );
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println!( " • SIMD info: {}", SIMDJsonParser::simd_info() );
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println!( "✨ Benchkit provides statistical rigor and clear PASS/FAIL validation for SIMD performance!" );
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}
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#[cfg(not(feature = "benchmarks"))]
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{
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println!( "⚠️ SIMD performance validation disabled - enable 'benchmarks' feature" );
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println!( " Run with: cargo bench simd_json_performance_validation --features benchmarks" );
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}
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}

‎module/move/unilang/tests/simd_json_integration_test.rs‎

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Original file line numberDiff line numberDiff line change
@@ -8,8 +8,6 @@ use unilang::simd_json_parser::{ SIMDJsonParser, FastJsonValue };
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use serde_json::Value as SerdeValue;
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use unilang::{ Value, Kind, types::parse_value };
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#[ cfg( feature = "benchmarks" ) ]
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use benchkit::prelude::*;
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/// Test basic SIMD JSON parsing correctness
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#[test]
@@ -342,87 +340,6 @@ fn test_simd_json_formatting_compatibility()
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}
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}
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/// Benchmark comparison test to validate performance improvements using benchkit
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#[ cfg( feature = "benchmarks" ) ]
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#[test]
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fn test_simd_performance_validation()
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{
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println!( "🚀 SIMD Performance Validation using Benchkit" );
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println!( "=============================================" );
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// Generate medium-sized JSON for performance testing
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let mut test_json = r#"{"performance_test":{"data":["#.to_string();
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for i in 0..500
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{
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if i > 0 { test_json.push(','); }
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use core::fmt::Write;
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write!( &mut test_json,
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r#"{{"id":{i},"name":"item{i}","value":{},"tags":["tag1","tag2"],"meta":{{"created":"2024-01-01","active":{}}}}}"#,
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f64::from(i) * 1.5, i % 2 == 0
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).unwrap();
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}
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test_json.push_str( "]}}" );
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println!( "📊 JSON payload size: {} bytes", test_json.len() );
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println!( "🧪 Running comparative analysis..." );
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let simd_json_data = test_json.clone();
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let serde_json_data = test_json.clone();
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let comparison = ComparativeAnalysis::new( "simd_performance_validation" )
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.algorithm( "simd_json", move ||
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{
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let _ = SIMDJsonParser::parse_to_serde_value( &simd_json_data ).unwrap();
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})
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.algorithm( "serde_json", move ||
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{
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let _ = serde_json::from_str::<SerdeValue>( &serde_json_data ).unwrap();
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});
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let report = comparison.run();
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// Display comprehensive benchmark results
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println!( "📈 Performance Results:" );
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for ( name, result ) in report.sorted_by_performance()
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{
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println!( " • {}: {:.0} ops/sec ({:.3}ms)", name, result.operations_per_second(), result.mean_time().as_secs_f64() * 1000.0 );
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}
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// Calculate and validate performance expectations
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if let Some( ( fastest_name, fastest_result ) ) = report.fastest()
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{
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if let Some( ( slowest_name, slowest_result ) ) = report.slowest()
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{
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let speedup = slowest_result.mean_time().as_nanos() as f64 / fastest_result.mean_time().as_nanos() as f64;
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println!( "⚡ Speedup: {fastest_name} is {speedup:.2}x faster than {slowest_name}" );
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// Validate performance characteristics with realistic expectations
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if fastest_name == "simd_json"
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{
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println!( "✅ SIMD JSON outperforms standard JSON parsing" );
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}
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else
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{
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println!( "⚠️ Standard serde_json outperformed SIMD (may indicate debug build, small payload, or sub-optimal conditions)" );
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}
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// Performance validation - SIMD should be reasonable but may not always win
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// In debug builds or with certain payload characteristics, serde_json might be faster
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let performance_difference = ( slowest_result.mean_time().as_nanos() as f64 / fastest_result.mean_time().as_nanos() as f64 ) - 1.0;
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assert!( performance_difference <= 5.0, "Performance difference is too extreme ({:.1}x) - investigate SIMD implementation", performance_difference + 1.0 );
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println!( "✅ Performance validation passed - algorithms perform within reasonable bounds" );
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}
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}
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// Display SIMD capability information
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println!( "🔧 SIMD Capability Detection:" );
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println!( " • SIMD support: {}", SIMDJsonParser::is_simd_supported() );
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println!( " • SIMD info: {}", SIMDJsonParser::simd_info() );
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println!( "✨ Benchkit provides statistical rigor and clear PASS/FAIL validation for SIMD performance!" );
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}
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/// Fallback test for when benchmarks feature is not enabled
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#[ cfg( not( feature = "benchmarks" ) ) ]

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