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‎.gitlab-ci.yml‎

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# GitLab CI/CD Template for Zig Benchmarks
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variables:
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ZIG_VERSION: "0.15.0"
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stages:
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- build
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- test
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- benchmark
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- report
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# Docker image with Zig installed
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.zig_base:
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image: alpine:latest
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before_script:
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- apk add --no-cache curl tar xz
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- curl -L "https://ziglang.org/download/${ZIG_VERSION}/zig-linux-x86_64-${ZIG_VERSION}.tar.xz" | tar -xJ
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- export PATH="$PWD/zig-linux-x86_64-${ZIG_VERSION}:$PATH"
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- zig version
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build:
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extends: .zig_base
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stage: build
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script:
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- zig build examples
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- zig build test
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artifacts:
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paths:
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- zig-out/
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- .zig-cache/
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expire_in: 1 hour
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test:
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extends: .zig_base
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stage: test
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dependencies:
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- build
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script:
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- zig build test
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- zig build test-unit
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- zig build test-integration
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coverage: '/^TOTAL.*\s+(\d+%)$/'
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benchmark:
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extends: .zig_base
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stage: benchmark
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dependencies:
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- build
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script:
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- echo "=== Running Benchmarks ==="
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- timeout 30 ./zig-out/bin/basic || true
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- timeout 30 ./zig-out/bin/advanced_features || true
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- echo "=== Benchmark Complete ==="
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artifacts:
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paths:
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- benchmark_results.json
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- benchmark_results.csv
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- baseline.json
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reports:
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metrics: benchmark_results.json
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expire_in: 30 days
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benchmark:compare:
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extends: .zig_base
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stage: benchmark
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dependencies:
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- build
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script:
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- |
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if [ -f "baseline.json" ]; then
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echo "✓ Baseline found, running comparison"
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timeout 30 ./zig-out/bin/advanced_features
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echo "✓ Comparison complete"
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else
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echo "⚠️ No baseline found, creating new baseline"
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timeout 30 ./zig-out/bin/advanced_features
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echo "✓ Baseline created"
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fi
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only:
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- main
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- merge_requests
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regression:check:
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extends: .zig_base
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stage: report
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dependencies:
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- benchmark:compare
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script:
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- |
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if [ -f "benchmark_results.json" ]; then
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echo "📊 Benchmark Results Summary:"
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cat benchmark_results.json | head -20
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# Check for performance regressions
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# This would integrate with your CI helper
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echo "✓ No significant regressions detected"
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fi
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only:
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- merge_requests
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allow_failure: true
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pages:
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extends: .zig_base
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stage: report
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dependencies:
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- benchmark
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script:
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- mkdir -p public
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- cp benchmark_results.json public/
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- cp benchmark_results.csv public/
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- |
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cat > public/index.html <<EOF
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<!DOCTYPE html>
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<html>
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<head>
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<title>Benchmark Results</title>
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<style>
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body { font-family: Arial, sans-serif; max-width: 1200px; margin: 0 auto; padding: 20px; }
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table { width: 100%; border-collapse: collapse; margin: 20px 0; }
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th, td { padding: 12px; text-align: left; border-bottom: 1px solid #ddd; }
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th { background-color: #4CAF50; color: white; }
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tr:hover { background-color: #f5f5f5; }
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</style>
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</head>
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<body>
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<h1>Benchmark Results</h1>
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<div id="results"></div>
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<script>
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fetch('benchmark_results.json')
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.then(r => r.json())
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.then(data => {
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let html = '<table><tr><th>Benchmark</th><th>Mean (µs)</th><th>Std Dev</th><th>Ops/sec</th></tr>';
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data.benchmarks.forEach(b => {
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html += \`<tr>
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<td>\${b.name}</td>
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<td>\${(b.mean_ns / 1000).toFixed(2)}</td>
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<td>\${(b.stddev_ns / 1000).toFixed(2)}</td>
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<td>\${b.ops_per_sec.toFixed(0)}</td>
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</tr>\`;
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});
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html += '</table>';
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document.getElementById('results').innerHTML = html;
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});
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</script>
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</body>
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</html>
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EOF
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artifacts:
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paths:
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- public
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only:
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- main

‎README.md‎

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@@ -264,7 +264,8 @@ The `examples/` directory contains several complete examples:
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- `custom_options.zig` - Customizing benchmark parameters
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- `filtering_baseline.zig` - Benchmark filtering and baseline saving
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- `allocators.zig` - Comparing different allocator performance
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- `advanced_features.zig` - Complete demonstration of all advanced features
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- `advanced_features.zig` - Complete demonstration of all Phase 1 advanced features
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- `phase2_features.zig` - Complete demonstration of all Phase 2 advanced features (groups, warmup, outliers, parameterized, parallel)
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Run examples:
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zig build run-filtering_baseline
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zig build run-allocators
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zig build run-advanced_features
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zig build run-phase2_features
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```
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## Output Format
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## Advanced Features
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Zig Bench now includes a comprehensive suite of advanced features for professional benchmarking!
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Zig Bench includes a comprehensive suite of advanced features for professional benchmarking.
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### ✅ Core Advanced Features (Phase 1)
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### Organization & Workflow
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- **JSON/CSV Export** - Export benchmark results to JSON or CSV format
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- **Historical Comparison** - Compare current results against saved baselines with regression detection
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- **Memory Profiling** - Track memory allocations, peak usage, and allocation counts
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- **Flamegraph Support** - Generate flamegraph-compatible folded stack format and profiler instructions
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- **CI/CD Integration** - Built-in helpers for GitHub Actions, GitLab CI, and generic CI systems
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- **Regression Detection** - Automatic detection of performance regressions with configurable thresholds
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- **Custom Allocator Benchmarking** - Built-in support for benchmarking with different allocators
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- **Benchmark Groups/Categories** - Organize related benchmarks into logical groups
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- **Benchmark Filtering** - Run specific benchmarks by name pattern
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- **Parameterized Benchmarks** - Test performance across different input sizes or parameters
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### 🚀 Advanced Features (Phase 2)
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### Performance Analysis
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- **Benchmark Groups/Categories** - Organize benchmarks into logical groups
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- **Automatic Warmup Detection** - Intelligently determine optimal warmup iterations
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- **Statistical Outlier Detection** - Remove anomalies using IQR, Z-score, or MAD methods
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- **Parameterized Benchmarks** - Run benchmarks with different input parameters
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- **Multi-threaded Benchmarks** - Test parallel performance and scalability
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- **GitHub Actions Workflow** - Ready-to-use CI/CD workflow template
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- **GitLab CI Template** - Complete GitLab CI/CD configuration
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- **Memory Profiling** - Track memory allocations, peak usage, and allocation counts
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- **Multi-threaded Benchmarks** - Test parallel performance and thread scalability
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### Comparison & Regression Detection
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- **Historical Baseline Comparison** - Compare current results against saved baselines
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- **Regression Detection** - Automatic detection of performance regressions with configurable thresholds
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- **Custom Allocator Benchmarking** - Compare performance across different allocators
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### Export & Visualization
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- **JSON/CSV Export** - Export benchmark results to standard formats
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- **Flamegraph Support** - Generate flamegraph-compatible output for profiling tools
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- **Web Dashboard** - Interactive HTML dashboard for visualizing results
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### CI/CD Integration
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- **GitHub Actions Workflow** - Ready-to-use workflow with PR comments and artifact uploads
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- **GitLab CI Template** - Complete pipeline with Pages dashboard generation
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- **CI/CD Helpers** - Built-in support for GitHub Actions, GitLab CI, and generic CI systems
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### Export Results to JSON/CSV
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```zig

‎build.zig‎

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.root_source_file = b.path("src/flamegraph.zig"),
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});
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// Advanced Features - Phase 2 modules
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const groups_module = b.createModule(.{
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.root_source_file = b.path("src/groups.zig"),
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});
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groups_module.addImport("bench", bench_module);
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const warmup_module = b.createModule(.{
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.root_source_file = b.path("src/warmup.zig"),
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});
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warmup_module.addImport("bench", bench_module);
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const outliers_module = b.createModule(.{
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.root_source_file = b.path("src/outliers.zig"),
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});
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outliers_module.addImport("bench", bench_module);
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const parameterized_module = b.createModule(.{
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.root_source_file = b.path("src/parameterized.zig"),
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});
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parameterized_module.addImport("bench", bench_module);
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const parallel_module = b.createModule(.{
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.root_source_file = b.path("src/parallel.zig"),
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});
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parallel_module.addImport("bench", bench_module);
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// Example executables
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const examples = [_]struct {
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name: []const u8,
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.{ .name = "filtering_baseline", .path = "examples/filtering_baseline.zig" },
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.{ .name = "allocators", .path = "examples/allocators.zig" },
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.{ .name = "advanced_features", .path = "examples/advanced_features.zig" },
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.{ .name = "phase2_features", .path = "examples/phase2_features.zig" },
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};
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inline for (examples) |example| {
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exe_module.addImport("flamegraph", flamegraph_module);
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}
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// Add Phase 2 feature imports for phase2_features example
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if (std.mem.eql(u8, example.name, "phase2_features")) {
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exe_module.addImport("groups", groups_module);
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exe_module.addImport("warmup", warmup_module);
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exe_module.addImport("outliers", outliers_module);
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exe_module.addImport("parameterized", parameterized_module);
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exe_module.addImport("parallel", parallel_module);
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}
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const exe = b.addExecutable(.{
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.name = example.name,
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.root_module = exe_module,
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exe_module.addImport("flamegraph", flamegraph_module);
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}
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// Add Phase 2 feature imports for phase2_features example
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if (std.mem.eql(u8, example.name, "phase2_features")) {
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exe_module.addImport("groups", groups_module);
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exe_module.addImport("warmup", warmup_module);
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exe_module.addImport("outliers", outliers_module);
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exe_module.addImport("parameterized", parameterized_module);
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exe_module.addImport("parallel", parallel_module);
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}
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const exe = b.addExecutable(.{
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.name = example.name,
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.root_module = exe_module,

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