LKi: \SSKJrJrJr SSKJr S S\\S\\S\\\S\4Sjjr g) )ListOptionalTuple) SparseVectorNindicesvalueslabelsreturnc.U(d [//SS9$UbF[[XU5SS9n[U6upEn[[U5[U5[U5S9$[[X5SS9n[U6upE[[U5[U5SS9$)a Normalize and create a SparseVector by sorting indices and values together. This function takes raw indices and values (which may be unsorted or have duplicates) and returns a properly constructed SparseVector with sorted indices. Args: indices: List of dimension indices (may be unsorted) values: List of values corresponding to each index labels: Optional list of string labels corresponding to each index Returns: SparseVector with indices sorted in ascending order Raises: ValueError: If indices and values have different lengths ValueError: If there are duplicate indices (after sorting) ValueError: If indices are negative ValueError: If values are not numeric ValueError: If labels is provided and has different length than indices N)rrr c US$Nrxs g/var/www/html/dynamic-report/venv/lib/python3.13/site-packages/chromadb/utils/sparse_embedding_utils.py)normalize_sparse_vector..#sAaD)keyc US$r rrs rrr+s!A$r)rsortedziplist)rrr sorted_triplessorted_indices sorted_values sorted_labels sorted_pairss rnormalize_sparse_vectorrs2 Br$??GV <.Q7:N7K4}( & &  c'2G (+\(:%( &  r)N) typingrrrchromadb.base_typesrintfloatstrrrrrr%sM((, #', #Y, K,  T#Y ,  , r