format 4.0
census 2e30db26-66c8-4551-85b9-a537376d8f99 1
namespace Microsoft.Windows.SemanticSearch

class Microsoft.Windows.SemanticSearch.EmbeddingVector python_type
    py EmbeddingVector
    signature rc(Microsoft.Windows.SemanticSearch.EmbeddingVector;{f80248aa-68e7-5de0-9166-b26e58935d34})
    default Microsoft.Windows.SemanticSearch.IEmbeddingVector
    requires Microsoft.Windows.SemanticSearch.IEmbeddingVector
    factory Microsoft.Windows.SemanticSearch.IEmbeddingVectorFactory
    constructor -
        ctor .ctor slot=6 inputs=2 outputs=1 declaring=Microsoft.Windows.SemanticSearch.IEmbeddingVectorFactory shape=202
            pass_array single name=data
            in guid name=vectorSpaceID
            out class type=Microsoft.Windows.SemanticSearch.EmbeddingVector return
    property count
        get get_Count slot=7 inputs=0 outputs=1 declaring=Microsoft.Windows.SemanticSearch.IEmbeddingVector shape=4
            out uint32 return
    property vector_space_id
        get get_VectorSpaceId slot=8 inputs=0 outputs=1 declaring=Microsoft.Windows.SemanticSearch.IEmbeddingVector shape=4
            out guid return
    method get_values
        method GetValues slot=6 inputs=1 outputs=0 declaring=Microsoft.Windows.SemanticSearch.IEmbeddingVector shape=51
            fill_array single name=values

interface Microsoft.Windows.SemanticSearch.IEmbeddingVector
    guid f80248aa-68e7-5de0-9166-b26e58935d34

interface Microsoft.Windows.SemanticSearch.IEmbeddingVectorFactory
    guid 3a31ead7-1f01-5a4c-9c2e-9acfa6495cdd
