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lines changed Original file line number Diff line number Diff line change @@ -23,7 +23,7 @@ project(svs
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# - /bindings/python/tests/test_common.py
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# Manually keep in-sync with:
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# - /bindings/python/setup.py
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- VERSION 0.0.8
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+ VERSION 0.0.9
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)
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set (SVS_LIB svs_devel )
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+ # SVS 0.0.8 Release Notes
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+
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+ ## Additions and Changes
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+
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+ * Addition of 8-bit scalar quantization support to C++ interface
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+
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+ * Introduced multi-vector index and batch iterator support that allows multiple vectors to be mapped to the same external ID
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+
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+ * Automatic ISA dispatching with optimizations based on AVX support
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+
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+ * Enabled compatibility with ARM and MacOS
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+ * Enhanced logging capabilities
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+
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+ * Updated vamana iterator API
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+
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+ * Broader [ shared library] ( https://github.com/intel/ScalableVectorSearch/releases ) support:
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+ * gcc-11+, clang-18+, glibc 2.26+ compatibility
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+ * Static library provided in addition to .so
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+ * Intel(R) MKL linked within the shared library - no need for Intel(R) MKL in user environment
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+
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# SVS 0.0.7 Release Notes
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## Additions and Changes
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- # SVS 0.0.8 Release Notes
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+ # SVS 0.0.9 Release Notes
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- ## Additions and Changes
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-
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- * Addition of 8-bit scalar quantization support to C++ interface
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-
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- * Introduced multi-vector index and batch iterator support that allows multiple vectors to be mapped to the same external ID
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-
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- * Automatic ISA dispatching with optimizations based on AVX support
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+ Bugfix release for multi-vector dynamic vamana index save/load functionality.
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- * Enabled compatibility with ARM and MacOS
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-
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- * Enhanced logging capabilities
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-
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- * Updated vamana iterator API
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+ ## Additions and Changes
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- * Broader [ shared library ] ( https://github.com/intel/ScalableVectorSearch/releases ) support:
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+ * Extended "Multi-vector dynamic vamana index" test section "Save/Load" to enforce multi-vector initialization and compare search results before and after saving/loading.
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- * gcc-11+, clang-18+, glibc 2.26+ compatibility
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-
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- * Static library provided in addition to .so
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-
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- * Intel(R) MKL linked within the shared library - no need for Intel(R) MKL in user environment
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+ * Fixed labels saving/loading in ` MultiMutableVamanaIndex ` .
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setup (
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name = "scalable-vs" ,
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- version = "0.0.8 " ,
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+ version = "0.0.9 " ,
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description = "Scalable Vector Search (SVS) is a performance library for vector similarity search." ,
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long_description = long_description ,
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long_description_content_type = "text/markdown" ,
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#####
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def test_version (self ):
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- self .assertEqual (svs .library_version (), "v0.0.8 " )
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+ self .assertEqual (svs .library_version (), "v0.0.9 " )
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def test_conversion (self ):
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