,hSSKJr SSKrSSKJr SSKJr SSKJr SSK J r SSK J r "SS\5r "S S \5r "S S \5r\"S S55r"SS\ R 5rg)) annotationsN) dataclass)Enum)Optional)Floatc"\rSrSrSrSrSrSrg)VectorIndexTypezEnum representing different types of VECTOR index structures. See :ref:`oracle_vector_datatype` for background. .. versionadded:: 2.0.41 HNSWIVFN)__name__ __module__ __qualname____firstlineno____doc__r r __static_attributes__r Y/var/www/auris/envauris/lib/python3.13/site-packages/sqlalchemy/dialects/oracle/vector.pyr r s D Crr c.\rSrSrSrSrSrSrSrSr g) VectorDistanceType(zEnum representing different types of vector distance metrics. See :ref:`oracle_vector_datatype` for background. .. versionadded:: 2.0.41 EUCLIDEANDOTCOSINE MANHATTANr N) rrrrrrrrrrr rrrr(s7I CFIrrc.\rSrSrSrSrSrSrSrSr g) VectorStorageFormatGzEnum representing the data format used to store vector components. See :ref:`oracle_vector_datatype` for background. .. versionadded:: 2.0.41 INT8BINARYFLOAT32FLOAT64r N) rrrrrr r!r"r#rr rrrrGs7 DFGGrrc\rSrSr%Sr\R rS\S'Sr S\S'Sr S\S 'Sr S\S 'Sr S\S 'Sr S\S 'SrS\S 'SrS\S'SrS\S'SrSrg)VectorIndexConfigba8Define the configuration for Oracle VECTOR Index. See :ref:`oracle_vector_datatype` for background. .. versionadded:: 2.0.41 :param index_type: Enum value from :class:`.VectorIndexType` Specifies the indexing method. For HNSW, this must be :attr:`.VectorIndexType.HNSW`. :param distance: Enum value from :class:`.VectorDistanceType` specifies the metric for calculating distance between VECTORS. :param accuracy: interger. Should be in the range 0 to 100 Specifies the accuracy of the nearest neighbor search during query execution. :param parallel: integer. Specifies degree of parallelism. :param hnsw_neighbors: interger. Should be in the range 0 to 2048. Specifies the number of nearest neighbors considered during the search. The attribute :attr:`.VectorIndexConfig.hnsw_neighbors` is HNSW index specific. :param hnsw_efconstruction: integer. Should be in the range 0 to 65535. Controls the trade-off between indexing speed and recall quality during index construction. The attribute :attr:`.VectorIndexConfig.hnsw_efconstruction` is HNSW index specific. :param ivf_neighbor_partitions: integer. Should be in the range 0 to 10,000,000. Specifies the number of partitions used to divide the dataset. The attribute :attr:`.VectorIndexConfig.ivf_neighbor_partitions` is IVF index specific. :param ivf_sample_per_partition: integer. Should be between 1 and ``num_vectors / neighbor partitions``. Specifies the number of samples used per partition. The attribute :attr:`.VectorIndexConfig.ivf_sample_per_partition` is IVF index specific. :param ivf_min_vectors_per_partition: integer. From 0 (no trimming) to the total number of vectors (results in 1 partition). Specifies the minimum number of vectors per partition. The attribute :attr:`.VectorIndexConfig.ivf_min_vectors_per_partition` is IVF index specific. r index_typeNzOptional[VectorDistanceType]distancez Optional[int]accuracyhnsw_neighborshnsw_efconstructionivf_neighbor_partitionsivf_sample_per_partitionivf_min_vectors_per_partitionparallelc[UR5UlSHKn[X5nUcM[U[5(aM*[ US[ U5R35e g)N)r*r+r,r-r.r/r)z$ must be an integer ifprovided, got )r r'getattr isinstanceint TypeErrortyper)selffieldvalues r __post_init__VectorIndexConfig.__post_init__sh)$//: ED(E E3)?)?g%%)%[%9%9$:< r)r')rrrrrr r r'__annotations__r(r)r*r+r,r-r.r/r9rr rrr%r%bst0d#2"6"6J6-1H*1"Hm"$(NM()---1]1.2m237!=7"Hm"rr%c\rSrSrSrSrSr\RS\RS\RS\RS0r SS jr S rS rS r"S S\R$R&5rSrg)VECTORzOracle VECTOR datatype. For complete background on using this type, see :ref:`oracle_vector_datatype`. .. versionadded:: 2.0.41 TbBfdNcUb [U[5(d [S5eUb [U[5(d [S5eXlX lg)a Construct a VECTOR. :param dim: integer. The dimension of the VECTOR datatype. This should be an integer value. :param storage_format: VectorStorageFormat. The VECTOR storage type format. This may be Enum values form :class:`.VectorStorageFormat` INT8, BINARY, FLOAT32, or FLOAT64. Nzdim must be an intergerz:storage_format must be an enum of type VectorStorageFormat)r2r3r4rdimstorage_format)r6rDrEs r__init__VECTOR.__init__sX ?:c3#7#756 6  %j // / L ,rc^U4SjnU$)zD Convert a list to a array.array before binding it to the database. c>Ub[U[R5(aU$[U[5(a3TRTR5n[R"X5nU$[ S5e)Nz$VECTOR accepts list or array.array())r2arraylist_array_typecoderEr4)r8typecoder6s rprocess.VECTOR._cached_bind_processor..processsc} 5%++ > > E4((//0C0CD H4  FGGrr )r6dialectrNs` r_cached_bind_processorVECTOR._cached_bind_processors Hrc SnU$)zB Convert a array.array to list before binding it to the database. cX[U[R5(a [U5$g)N)r2rJrK)r8s rrN0VECTOR._cached_result_processor..processs"%--E{".rr )r6rPcoltyperNs r_cached_result_processorVECTOR._cached_result_processors  #rc:URRUS5$)z' Map storage format to array typecode. rB) _typecode_mapget)r6rMs rrLVECTOR._array_typecodes!!%%h44rc&\rSrSrSrSrSrSrg)VECTOR.comparator_factoryic6URS[S9"U5$)Nz<-> return_typeoprr6others r l2_distance%VECTOR.comparator_factory.l2_distance775e74U; ;rc6URS[S9"U5$)Nz<#>r`rbrds r inner_product'VECTOR.comparator_factory.inner_productrhrc6URS[S9"U5$)Nz<=>r`rbrds rcosine_distance)VECTOR.comparator_factory.cosine_distance rhrr N)rrrrrfrjrmrr rrcomparator_factoryr^s < < rzsq# ! "d&>$6 MM M`W