Version 0.1.2

Changed

• Changed all function arguments, variable names, and docstrings from top_k to k for clarity and consistency.
• compare() no longer requires the vector_size parameter. Vector dimensionality is now inferred from the query_vector.
• Candidate vectors are automatically validated against the inferred size.
• Removed the method parameter from the main similarity function (was previously intended for future extensibility).
• Renamed the main function from compare to cosine for clarity.
• Updated all internal imports, tests, and benchmarks to use cosine.
• API: The main similarity function is now cosine_similarity (was previously compare/cosine).
• File Structure: Renamed cosine.py to cosine_similarity.py for clarity.
• Tests: All tests now use cosine_similarity as the entry point.
• Public Interface: Only cosine_similarity is exposed in the package’s public API.
• Improved Rust cosine similarity kernel by moving the division for query_norm out of the hot loop. Now precomputes the reciprocal of query_norm and uses multiplication inside the scoring loop, reducing the number of divisions and improving throughput for large candidate sets.
• Improved Python wrapper for cosine_similarity that adds explicit check for empty candidate_vectors to provide a clear error message.
• Now checks that all candidate vectors have the correct dimension.
• Pre-allocates the batch buffer for better performance during batch processing.
• Refactored speed_comparisons_batch.py benchmark script to standardized batch processing logic across all benchmark functions

Fixed

• Improved API clarity and reduced confusion by making the cosine similarity function explicit.

Removed

• The vector_size argument from compare() and _prepare_vector(). This change simplifies the API and reduces the risk of mismatched vector sizes.
• The method parameter from the Python API.