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crates/ruvector-core/tests/README.md
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# Ruvector Core Test Suite
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## Overview
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This directory contains a comprehensive Test-Driven Development (TDD) test suite following the London School approach. The test suite covers unit tests, integration tests, property-based tests, stress tests, and concurrent access tests.
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## Test Files
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### 1. `unit_tests.rs` - Unit Tests with Mocking (London School)
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Comprehensive unit tests using `mockall` for mocking dependencies:
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- **Distance Metric Tests**: Tests for all 4 distance metrics (Euclidean, Cosine, Dot Product, Manhattan)
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- Self-distance verification
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- Symmetry properties
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- Orthogonal and parallel vector cases
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- Dimension mismatch error handling
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- **Quantization Tests**: Tests for scalar and binary quantization
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- Round-trip reconstruction accuracy
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- Distance calculation correctness
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- Sign preservation (binary quantization)
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- Hamming distance validation
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- **Storage Layer Tests**: Tests for VectorStorage
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- Insert with explicit and auto-generated IDs
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- Metadata handling
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- Dimension validation
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- Batch operations
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- Delete operations
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- Error cases (non-existent vectors, dimension mismatches)
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- **VectorDB Tests**: High-level API tests
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- Empty database operations
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- Insert/delete with len() tracking
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- Search functionality
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- Metadata filtering
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- Batch insert operations
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### 2. `integration_tests.rs` - End-to-End Integration Tests
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Full workflow tests that verify all components work together:
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- **Complete Workflows**: Insert + search + retrieve with metadata
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- **Large Batch Operations**: 10K+ vector batch insertions
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- **Persistence**: Database save and reload verification
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- **Mixed Operations**: Combined insert, delete, and search operations
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- **Distance Metrics**: Tests for all 4 metrics end-to-end
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- **HNSW Configurations**: Different HNSW parameter combinations
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- **Metadata Filtering**: Complex filtering scenarios
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- **Error Handling**: Dimension validation, wrong query dimensions
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### 3. `property_tests.rs` - Property-Based Tests (proptest)
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Mathematical property verification using proptest:
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- **Distance Metric Properties**:
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- Self-distance is zero
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- Symmetry: d(a,b) = d(b,a)
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- Triangle inequality: d(a,c) ≤ d(a,b) + d(b,c)
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- Non-negativity
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- Scale invariance (cosine)
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- Translation invariance (Euclidean)
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- **Quantization Properties**:
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- Round-trip reconstruction bounds
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- Sign preservation (binary)
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- Self-distance is zero
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- Symmetry
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- Distance bounds
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- **Batch Operations**:
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- Consistency between batch and individual operations
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- **Dimension Handling**:
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- Mismatch error detection
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- Success on matching dimensions
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### 4. `stress_tests.rs` - Scalability and Performance Stress Tests
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Tests that push the system to its limits:
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- **Million Vector Insertion** (ignored by default): Insert 1M vectors in batches
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- **Concurrent Queries**: 10 threads × 100 queries each
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- **Concurrent Mixed Operations**: Simultaneous readers and writers
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- **Memory Pressure**: Large 2048-dimensional vectors
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- **Error Recovery**: Invalid operations don't crash the system
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- **Repeated Operations**: Same operation executed many times
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- **Extreme Parameters**: k values larger than database size
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### 5. `concurrent_tests.rs` - Thread-Safety Tests
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Multi-threaded access patterns:
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- **Concurrent Reads**: Multiple threads reading simultaneously
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- **Concurrent Writes**: Non-overlapping writes from multiple threads
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- **Mixed Read/Write**: Concurrent reads and writes
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- **Delete and Insert**: Simultaneous deletes and inserts
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- **Search and Insert**: Searching while inserting
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- **Batch Atomicity**: Verifying batch operations are atomic
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- **Read-Write Consistency**: Ensuring no data corruption
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- **Metadata Updates**: Concurrent metadata modifications
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## Benchmarks
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### 6. `benches/quantization_bench.rs` - Quantization Performance
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Criterion benchmarks for quantization operations:
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- Scalar quantization encode/decode/distance
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- Binary quantization encode/decode/distance
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- Compression ratio comparisons
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### 7. `benches/batch_operations.rs` - Batch Operation Performance
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Criterion benchmarks for batch operations:
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- Batch insert at various scales (100, 1K, 10K)
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- Individual vs batch insert comparison
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- Parallel search performance
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- Batch delete operations
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## Running Tests
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### Run All Tests
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```bash
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cargo test --package ruvector-core
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```
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### Run Specific Test Suites
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```bash
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# Unit tests only
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cargo test --test unit_tests
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# Integration tests only
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cargo test --test integration_tests
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# Property tests only
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cargo test --test property_tests
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# Concurrent tests only
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cargo test --test concurrent_tests
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# Stress tests (including ignored tests)
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cargo test --test stress_tests -- --ignored --test-threads=1
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```
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### Run Benchmarks
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```bash
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# Distance metrics (existing)
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cargo bench --bench distance_metrics
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# HNSW search (existing)
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cargo bench --bench hnsw_search
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# Quantization (new)
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cargo bench --bench quantization_bench
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# Batch operations (new)
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cargo bench --bench batch_operations
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```
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### Generate Coverage Report
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```bash
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# Install tarpaulin if not already installed
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cargo install cargo-tarpaulin
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# Generate HTML coverage report
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cargo tarpaulin --out Html --output-dir target/coverage
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# Open coverage report
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open target/coverage/index.html
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```
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## Test Coverage Goals
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- **Target**: 90%+ code coverage
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- **Focus Areas**:
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- Distance calculations
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- Index operations
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- Storage layer
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- Error handling paths
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- Edge cases
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## Known Issues
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As of the current implementation, there are pre-existing compilation errors in the codebase that prevent some tests from running:
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1. **HNSW Index**: `DataId::new` construction issues in `src/index/hnsw.rs`
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2. **AgenticDB**: Missing `Encode`/`Decode` trait implementations for `ReflexionEpisode`
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These issues exist in the main codebase and need to be fixed before the full test suite can execute.
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## Test Organization
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Tests are organized by purpose and scope:
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1. **Unit Tests**: Test individual components in isolation with mocking
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2. **Integration Tests**: Test component interactions and workflows
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3. **Property Tests**: Test mathematical properties and invariants
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4. **Stress Tests**: Test performance limits and edge cases
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5. **Concurrent Tests**: Test thread-safety and concurrent access patterns
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## Dependencies
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Test dependencies (in `Cargo.toml`):
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```toml
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[dev-dependencies]
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criterion = { workspace = true }
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proptest = { workspace = true }
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mockall = { workspace = true }
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tempfile = "3.13"
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tracing-subscriber = { workspace = true }
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```
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## Contributing
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When adding new tests:
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1. Follow the existing structure and naming conventions
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2. Add tests to the appropriate file (unit, integration, property, etc.)
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3. Document the test purpose clearly
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4. Ensure tests are deterministic and don't depend on timing
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5. Use `tempdir()` for database paths in tests
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6. Clean up resources properly
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## CI/CD Integration
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Recommended CI pipeline:
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```yaml
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test:
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script:
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- cargo test --all-features
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- cargo tarpaulin --out Xml
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coverage: '/\d+\.\d+% coverage/'
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bench:
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script:
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- cargo bench --no-run
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```
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## Performance Expectations
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Based on stress tests:
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- **Insert**: ~10K vectors/second (batch mode)
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- **Search**: ~1K queries/second (k=10, HNSW)
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- **Concurrent**: 10+ threads without performance degradation
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- **Memory**: ~4KB per 384-dim vector (uncompressed)
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## Additional Resources
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- [Mockall Documentation](https://docs.rs/mockall/)
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- [Proptest Guide](https://altsysrq.github.io/proptest-book/)
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- [Criterion.rs Guide](https://bheisler.github.io/criterion.rs/book/)
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- [Cargo Tarpaulin](https://github.com/xd009642/tarpaulin)
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