+ iF/ha0t$^RIHt^RIt^RIHtHtHtHtH t H t ^RI H uH t^RIHt^RIHt^RIHt^RIHt^RIHt^R IHt^R IHtR t^dt]P6t] ]]]3,t/]P@]P@b^]P@bR ]P@bR ]P@b]PB]PBb^]PBbR]PBbR]PBb]PD]PDb^]PDbR]PDbR]PDb]PF]PFb^]PFbR]PFbR]PFb]PH]PHb^]PHR]PH]PJ]PJ^]PJR]PJ^]PLR]PLR]PL]PL]PL^]PNR]PNR]PN]PN]PN/ Ct(R])R&RRlt*]PVt,]R-R!R"ll4t/]R-R#R$ll4t/R-R%R&llt/]R-R'R(ll4t0]R-R)R*ll4t0R-R+R,llt0R# ]-d]!R4t.RR lt,L]i;i).) annotationsN)AnyIterableoverloadTypeVarUnionMapping)protos)get_default_generative_client)#get_default_generative_async_client) helper_types) model_types) text_types) content_typeszmodels/embedding-001task_type_unspecified unspecifiedretrieval_queryqueryretrieval_documentdocumentsemantic_similarity similarityclassification clusteringquestion_answeringqafact_verification verificationz1dict[EmbeddingTaskTypeOptions, EmbeddingTaskType]_EMBEDDING_TASK_TYPEc V^8dQhRRRR/#)xEmbeddingTaskTypeOptionsreturnEmbeddingTaskType)formats"p/Users/igloo/.openclaw/workspace/scratch/fb_ad_env/lib/python3.14/site-packages/google/generativeai/embedding.py __annotate__r)Hs##,#1B#ch\V\4'dVP4p\V,#N) isinstancestrlowerr)r"s&r( to_task_typer0Hs%!S GGI  ""r*Tc$V^8dQhRRRRRR/#)r!iterablez Iterable[T]nintr$zIterable[list[T]]r&)r's"r(r)r)Ts"  ; 3 3D r*c#"V^8d\RV R24h.pVF,pVPV4\V4V8XgK&Vx.pK. V'dVxR#R#5i)zKInvalid input: The batch size 'n' must be a positive integer. You entered: z'. Please enter a number greater than 0.N) ValueErrorappendlen)r3r4batchitems&& r(_batchedr=Tsp q5]^_]`aHI D LL 5zQ   K s_r*caaaa\P!S4oVf/pVf \4pS'd0\S4\P Jd\ RS RS R24hS'dS^8d\ RS R24hS'd \S4o\V\4'd\V\\34'gR./pVVVV3RlV4p\V\4Fnp \P!SV R7p VP!V 3/VBp \!V 4P#V 4p VR,P%RV R ,44Kp V#\P&!S\(P*!V4SSSR 7p VP,!V 3/VBp \!V 4P#V 4p V R,R ,V R&V #) aACalls the API to create embeddings for content passed in. Args: model: Which [model](https://ai.google.dev/models/gemini#embedding) to call, as a string or a `types.Model`. content: Content to embed. task_type: Optional task type for which the embeddings will be used. Can only be set for `models/embedding-001`. title: An optional title for the text. Only applicable when task_type is `RETRIEVAL_DOCUMENT`. output_dimensionality: Optional reduced dimensionality for the output embeddings. If set, excessive values from the output embeddings will be truncated from the end. request_options: Options for the request. Return: Dictionary containing the embedding (list of float values) for the input content. sInvalid task type: When a title is specified, the task must be of a 'retrieval document' type. Received task type: and title: .QInvalid value: `output_dimensionality` must be a non-negative integer. Received: embeddingc 3<"TF4p\P!S\P!V4SSSR7xK6 R#5ir?rArCrErGNr EmbedContentRequestr to_content.0cr?rGrCrEs& r( embed_content..F    & &%003#&;   PQN ;  & &&YN<Br*caaaa"\P!S4oVf/pVf \4pS'd0\S4\P Jd\ RS RS R24hS'dS^8d\ RS R24hS'd \S4o\V\4'd\V\\34'gR./pVVVV3RlV4p\V\4Fvp \P!SV R7p VP!V 3/VBGRjxL p \!V 4P#V 4p VR,P%R V R ,44Kx V#\P&!S\(P*!V4SSSR 7p VP,!V 3/VBGRjxL p \!V 4P#V 4p V R,R ,V R&V #LL55i) z?Calls the API to create async embeddings for content passed in.NrYrZr[r\r]c 3<"TF4p\P!S\P!V4SSSR7xK6 R#5ir_rards& r(rg&embed_content_async..rirjrkc32"TF qR,xK R#5irnr&rps& r(rgr(rrrsrtr`ro)rrur r0r%rvr8r-rr.r r=rwr rxryrzr{r|rbrrcrPr}s f&fff&& r(rrs   ' ' .E ~46 i(0A0T0TTBCLBMMYZ_Y``a b  !6!:_`u_vvw x   + '8$$Z#w-P-Pr"    h(@AE & @ @uW\ ] '-'B'B!(!(" ""45==>PQN ;  & &&YN<rs)#"CC**&DJ2103*OO c+-T-TK..K.DDK$:: K %%'8'H'H K (( K(88K  . .K((*;*N*NK++K+>>K!44K))+<+P+PK,,K,@@K #77!K"$$&7&F&F#K$'''66  "3">">###..+++>>  . .((*;*N*N***<<%77''):)L)L=KGD#   H( # # ( (_D # # ( (BBK A s JJ10J1