Squashed 'vendor/ruvector/' content from commit b64c2172
git-subtree-dir: vendor/ruvector git-subtree-split: b64c21726f2bb37286d9ee36a7869fef60cc6900
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102
crates/ruvector-bench/scripts/download_datasets.sh
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102
crates/ruvector-bench/scripts/download_datasets.sh
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#!/bin/bash
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# Download ANN benchmark datasets (SIFT1M, GIST1M, Deep1M)
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set -e
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DATASETS_DIR="datasets"
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mkdir -p "$DATASETS_DIR"
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echo "╔════════════════════════════════════════╗"
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echo "║ ANN Benchmark Dataset Downloader ║"
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echo "╚════════════════════════════════════════╝"
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echo ""
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# Function to download and extract dataset
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download_dataset() {
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local name=$1
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local url=$2
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local file=$(basename "$url")
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echo "Downloading $name..."
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if [ -f "$DATASETS_DIR/$file" ]; then
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echo " ✓ Already downloaded: $file"
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else
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wget -q --show-progress -O "$DATASETS_DIR/$file" "$url"
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echo " ✓ Downloaded: $file"
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fi
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echo "Extracting $name..."
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if [[ $file == *.tar.gz ]]; then
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tar -xzf "$DATASETS_DIR/$file" -C "$DATASETS_DIR"
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elif [[ $file == *.gz ]]; then
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gunzip -k "$DATASETS_DIR/$file"
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fi
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echo " ✓ Extracted successfully"
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echo ""
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}
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# SIFT1M Dataset (128D, 1M vectors)
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# http://corpus-texmex.irisa.fr/
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echo "1. SIFT1M Dataset (128 dimensions, 1M vectors)"
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echo " Download from: http://corpus-texmex.irisa.fr/"
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echo " Note: Direct download requires manual intervention due to terms of service"
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echo " Please visit the website and download sift.tar.gz manually to datasets/"
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echo ""
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# GIST1M Dataset (960D, 1M vectors)
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echo "2. GIST1M Dataset (960 dimensions, 1M vectors)"
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echo " Download from: http://corpus-texmex.irisa.fr/"
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echo " Note: Direct download requires manual intervention due to terms of service"
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echo " Please visit the website and download gist.tar.gz manually to datasets/"
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echo ""
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# Deep1M Dataset (96D, 1M vectors)
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echo "3. Deep1M Dataset (96 dimensions, 1M vectors)"
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echo " Download from: http://sites.skoltech.ru/compvision/noimi/"
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echo " Note: This dataset may require registration"
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echo ""
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# Alternative: Generate synthetic datasets
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echo "═══════════════════════════════════════════════════════════════"
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echo "ALTERNATIVE: Generate Synthetic Datasets"
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echo "═══════════════════════════════════════════════════════════════"
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echo ""
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echo "If you prefer to use synthetic data for benchmarking, the"
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echo "benchmark tools will automatically generate appropriate datasets."
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echo ""
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echo "To run with synthetic data:"
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echo " cargo run --release --bin ann-benchmark -- --dataset synthetic"
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echo ""
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# Check for HDF5 support
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echo "Checking dependencies..."
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if command -v h5dump &> /dev/null; then
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echo " ✓ HDF5 tools installed"
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else
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echo " ⚠ HDF5 tools not found. Install with:"
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echo " Ubuntu/Debian: sudo apt-get install hdf5-tools"
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echo " macOS: brew install hdf5"
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echo " Note: HDF5 is optional for synthetic benchmarks"
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fi
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echo ""
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echo "════════════════════════════════════════"
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echo "Setup Instructions:"
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echo "════════════════════════════════════════"
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echo ""
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echo "1. Manual Download (for real datasets):"
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echo " - Visit http://corpus-texmex.irisa.fr/"
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echo " - Download sift.tar.gz, gist.tar.gz"
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echo " - Place in: $DATASETS_DIR/"
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echo " - Extract: tar -xzf $DATASETS_DIR/sift.tar.gz -C $DATASETS_DIR/"
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echo ""
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echo "2. Synthetic Datasets (recommended for testing):"
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echo " - No download required"
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echo " - Generated automatically by benchmark tools"
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echo " - Suitable for performance testing and profiling"
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echo ""
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echo "3. Run Benchmarks:"
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echo " cd crates/ruvector-bench"
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echo " cargo run --release --bin ann-benchmark"
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echo ""
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echo "✓ Setup guide complete!"
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246
crates/ruvector-bench/scripts/run_all_benchmarks.sh
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crates/ruvector-bench/scripts/run_all_benchmarks.sh
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#!/bin/bash
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# Run complete Ruvector benchmark suite
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set -e
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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BENCH_DIR="$(dirname "$SCRIPT_DIR")"
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OUTPUT_DIR="${BENCH_DIR}/bench_results"
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echo "╔════════════════════════════════════════╗"
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echo "║ Ruvector Benchmark Suite Runner ║"
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echo "╚════════════════════════════════════════╝"
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echo ""
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# Create output directory
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mkdir -p "$OUTPUT_DIR"
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# Parse arguments
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QUICK_MODE=false
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PROFILE=false
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while [[ $# -gt 0 ]]; do
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case $1 in
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--quick)
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QUICK_MODE=true
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shift
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;;
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--profile)
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PROFILE=true
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shift
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;;
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*)
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echo "Unknown option: $1"
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echo "Usage: $0 [--quick] [--profile]"
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exit 1
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;;
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esac
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done
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# Set benchmark parameters based on mode
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if [ "$QUICK_MODE" = true ]; then
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echo "Running in QUICK mode (reduced dataset sizes)..."
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VECTORS=10000
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QUERIES=500
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else
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echo "Running in FULL mode (standard dataset sizes)..."
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VECTORS=100000
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QUERIES=1000
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fi
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echo "Output directory: $OUTPUT_DIR"
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echo ""
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# Build benchmarks
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echo "═══════════════════════════════════════════════════════════════"
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echo "Building benchmark suite..."
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echo "═══════════════════════════════════════════════════════════════"
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cd "$BENCH_DIR"
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cargo build --release
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echo "✓ Build complete"
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echo ""
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# Run ANN Benchmarks
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echo "═══════════════════════════════════════════════════════════════"
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echo "1. ANN Benchmarks (SIFT/GIST/Deep1M compatibility)"
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echo "═══════════════════════════════════════════════════════════════"
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cargo run --release --bin ann-benchmark -- \
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--dataset synthetic \
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--num-vectors $VECTORS \
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--queries $QUERIES \
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--dimensions 128 \
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--output "$OUTPUT_DIR"
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echo ""
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# Run AgenticDB Benchmarks
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echo "═══════════════════════════════════════════════════════════════"
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echo "2. AgenticDB Workload Benchmarks"
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echo "═══════════════════════════════════════════════════════════════"
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cargo run --release --bin agenticdb-benchmark -- \
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--episodes $VECTORS \
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--skills $(($VECTORS / 10)) \
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--queries $QUERIES \
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--output "$OUTPUT_DIR"
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echo ""
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# Run Latency Benchmarks
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echo "═══════════════════════════════════════════════════════════════"
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echo "3. Latency Profiling"
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echo "═══════════════════════════════════════════════════════════════"
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cargo run --release --bin latency-benchmark -- \
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--num-vectors $(($VECTORS / 2)) \
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--queries $QUERIES \
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--dimensions 384 \
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--threads "1,4,8" \
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--output "$OUTPUT_DIR"
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echo ""
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# Run Memory Benchmarks
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echo "═══════════════════════════════════════════════════════════════"
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echo "4. Memory Profiling"
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echo "═══════════════════════════════════════════════════════════════"
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if [ "$QUICK_MODE" = true ]; then
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SCALES="1000,10000"
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else
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SCALES="1000,10000,100000"
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fi
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cargo run --release --bin memory-benchmark -- \
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--dimensions 384 \
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--scales "$SCALES" \
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--output "$OUTPUT_DIR"
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echo ""
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# Run Comparison Benchmarks
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echo "═══════════════════════════════════════════════════════════════"
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echo "5. Cross-System Comparison"
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echo "═══════════════════════════════════════════════════════════════"
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cargo run --release --bin comparison-benchmark -- \
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--num-vectors $(($VECTORS / 2)) \
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--queries $QUERIES \
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--dimensions 384 \
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--output "$OUTPUT_DIR"
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echo ""
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# Run Profiling (optional)
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if [ "$PROFILE" = true ]; then
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echo "═══════════════════════════════════════════════════════════════"
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echo "6. Performance Profiling with Flamegraph"
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echo "═══════════════════════════════════════════════════════════════"
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cargo run --release --features profiling --bin profiling-benchmark -- \
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--num-vectors $(($VECTORS / 2)) \
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--queries $QUERIES \
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--dimensions 384 \
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--flamegraph \
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--output "$OUTPUT_DIR/profiling"
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echo ""
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fi
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# Generate summary report
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echo "═══════════════════════════════════════════════════════════════"
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echo "Generating Summary Report"
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echo "═══════════════════════════════════════════════════════════════"
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SUMMARY_FILE="$OUTPUT_DIR/SUMMARY.md"
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cat > "$SUMMARY_FILE" << EOF
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# Ruvector Benchmark Results Summary
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**Generated:** $(date)
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**Mode:** $([ "$QUICK_MODE" = true ] && echo "Quick" || echo "Full")
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## Configuration
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- Vectors: $VECTORS
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- Queries: $QUERIES
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- Profiling: $([ "$PROFILE" = true ] && echo "Enabled" || echo "Disabled")
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## Results Location
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All benchmark results are saved in: \`$OUTPUT_DIR\`
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## Available Reports
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### 1. ANN Benchmarks
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- JSON: \`ann_benchmark.json\`
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- CSV: \`ann_benchmark.csv\`
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- Report: \`ann_benchmark.md\`
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### 2. AgenticDB Workloads
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- JSON: \`agenticdb_benchmark.json\`
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- CSV: \`agenticdb_benchmark.csv\`
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- Report: \`agenticdb_benchmark.md\`
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### 3. Latency Profiling
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- JSON: \`latency_benchmark.json\`
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- CSV: \`latency_benchmark.csv\`
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- Report: \`latency_benchmark.md\`
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### 4. Memory Profiling
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- JSON: \`memory_benchmark.json\`
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- CSV: \`memory_benchmark.csv\`
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- Report: \`memory_benchmark.md\`
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### 5. System Comparison
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- JSON: \`comparison_benchmark.json\`
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- CSV: \`comparison_benchmark.csv\`
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- Report: \`comparison_benchmark.md\`
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EOF
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if [ "$PROFILE" = true ]; then
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cat >> "$SUMMARY_FILE" << EOF
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### 6. Performance Profiling
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- Flamegraph: \`profiling/flamegraph.svg\`
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- Profile: \`profiling/profile.txt\`
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EOF
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fi
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cat >> "$SUMMARY_FILE" << EOF
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## Quick Analysis
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To view individual benchmark reports, use:
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\`\`\`bash
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cat $OUTPUT_DIR/ann_benchmark.md
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cat $OUTPUT_DIR/agenticdb_benchmark.md
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cat $OUTPUT_DIR/latency_benchmark.md
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cat $OUTPUT_DIR/memory_benchmark.md
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cat $OUTPUT_DIR/comparison_benchmark.md
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\`\`\`
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To view CSV data for analysis:
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\`\`\`bash
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column -t -s, $OUTPUT_DIR/ann_benchmark.csv | less -S
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\`\`\`
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EOF
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echo "✓ Summary report generated: $SUMMARY_FILE"
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echo ""
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echo "════════════════════════════════════════════════════════════════"
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echo "✓ All benchmarks complete!"
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echo "════════════════════════════════════════════════════════════════"
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echo ""
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echo "Results saved to: $OUTPUT_DIR"
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echo "Summary report: $SUMMARY_FILE"
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echo ""
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echo "View results:"
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echo " cat $SUMMARY_FILE"
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echo " cat $OUTPUT_DIR/*.md"
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echo ""
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# Display quick stats if available
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if [ -f "$OUTPUT_DIR/comparison_benchmark.csv" ]; then
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echo "Quick Performance Summary:"
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echo "─────────────────────────────────────────"
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grep "ruvector_optimized" "$OUTPUT_DIR/comparison_benchmark.csv" | \
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awk -F',' '{printf " Optimized QPS: %s\n Latency p50: %sms\n Latency p99: %sms\n", $7, $8, $10}'
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echo ""
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fi
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echo "To run again:"
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echo " ./scripts/run_all_benchmarks.sh # Full benchmarks"
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echo " ./scripts/run_all_benchmarks.sh --quick # Quick mode"
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echo " ./scripts/run_all_benchmarks.sh --profile # With profiling"
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