gi,ddlZddlmZddlZddlmZddlmZddl m Z ddl m Z dd l mZdd lmZdd lmZdd lmZdd lmZddlmZddlmZddlmZddlmZddlm Z ddl!m"Z"ddl#m$Z$ddl%m&Z&ddl'm(Z(ddl)m*Z*ddl+m,Z,ddl-m.Z.ddl/m0Z0ddl1m2Z2ddl3m4Z4ddl5m6Z6ddlm7Z7ejpejrdZ:Gd d!Z;Gd"d#Z8J,V4PT6;6G+E2T $5 ,>  C Si++1c1{{("2 ) 0$$+%KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+$KK 3&"(//&**"=$-NN$4$$+#KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+*KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+-KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R Ss A[>Y [>>+\) keep_original_fileskip_malformed_input keep_fieldsoptional_fieldstext_separator csv_delimiterdry_run eval_datar4nametypedatararbrcrdrerfrgrhc >|jjjdd|||||||| | d i|| d| t} d| jcxkrdkr:nn7t j ttt| jS| jd k(rvtt j t jt jtt jt j| j| jd k(rvtt j t jt jtt jt j| j| jd k(rvtt j t jt jtt jt j| j| jd k(rvtt j t jt jtt jt j| j| jd k(rvt!t j t jt jtt jt j| j| jdk(rvt#t j t jt jtt jt j| j| jdk(rvt%t j t jt jtt jt j| j| jdk(rvt't j t jt jtt jt j| j| jdk(rvt)t j t jt jtt jt j| j| jdk(rvt+t j t jt jtt jt j| j| jdk(rvt-t j t jt jtt jt j| j| jdk(rvt/t j t jt jtt jt j| j| j}t3| j|#t0$r"t3| j| j4wxYw)ad Create a dataset by uploading a file. See ['Dataset Creation'](https://docs.cohere.com/docs/datasets#dataset-creation) for more information. Parameters ---------- name : str The name of the uploaded dataset. type : DatasetType The dataset type, which is used to validate the data. Valid types are `embed-input`, `reranker-finetune-input`, `single-label-classification-finetune-input`, `chat-finetune-input`, and `multi-label-classification-finetune-input`. data : core.File See core.File for more documentation keep_original_file : typing.Optional[bool] Indicates if the original file should be stored. skip_malformed_input : typing.Optional[bool] Indicates whether rows with malformed input should be dropped (instead of failing the validation check). Dropped rows will be returned in the warnings field. keep_fields : typing.Optional[typing.Union[str, typing.Sequence[str]]] List of names of fields that will be persisted in the Dataset. By default the Dataset will retain only the required fields indicated in the [schema for the corresponding Dataset type](https://docs.cohere.com/docs/datasets#dataset-types). For example, datasets of type `embed-input` will drop all fields other than the required `text` field. If any of the fields in `keep_fields` are missing from the uploaded file, Dataset validation will fail. optional_fields : typing.Optional[typing.Union[str, typing.Sequence[str]]] List of names of fields that will be persisted in the Dataset. By default the Dataset will retain only the required fields indicated in the [schema for the corresponding Dataset type](https://docs.cohere.com/docs/datasets#dataset-types). For example, Datasets of type `embed-input` will drop all fields other than the required `text` field. If any of the fields in `optional_fields` are missing from the uploaded file, Dataset validation will pass. text_separator : typing.Optional[str] Raw .txt uploads will be split into entries using the text_separator value. csv_delimiter : typing.Optional[str] The delimiter used for .csv uploads. dry_run : typing.Optional[bool] flag to enable dry_run mode eval_data : typing.Optional[core.File] See core.File for more documentation request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- DatasetsCreateResponse A successful response. Examples -------- from cohere import Client client = Client( client_name="YOUR_CLIENT_NAME", token="YOUR_TOKEN", ) client.datasets.create( name="name", type="embed-input", ) r7POST rirjrarbrcrdrerfrgrkrhr=r>rkfilesr4omitr?r@rArDrErFrGrHrIrJrKrLrMrNrOrPr&rTrUOMITrQrVrWrr rXr rYrZr r rrrrrrrrrrrr[r(rirjrkrarbrcrdrerfrgrhr4r]r^s r)createzDatasetsClient.creates8V((55== &8(<*#2"0!." &,)> ,C Si++1c1{{*"4 ) 0$$+%KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+$KK 3&"(//&**"=$-NN$4$$+#KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+*KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+-KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsA[1Y [11+\r4c |jjjdd|} d|jcxkrdkr:nn7t j t tt |jS|jdk(rvtt j tjtjttjtj|j|jdk(rvtt j tjtjttjtj|j|jd k(rvtt j tjtjttjtj|j|jd k(rvtt j tjtjttjtj|j|jd k(rvtt j tjtjttjtj|j|jd k(rvt!t j tjtjttjtj|j|jd k(rvt#t j tjtjttjtj|j|jdk(rvt%t j tjtjttjtj|j|jdk(rvt't j tjtjttjtj|j|jdk(rvt)t j tjtjttjtj|j|jdk(rvt+t j tjtjttjtj|j|jdk(rvt-t j tjtjttjtj|j|j}t1|j|#t.$r"t1|j|j2wxYw)a[ View the dataset storage usage for your Organization. Each Organization can have up to 10GB of storage across all their users. Parameters ---------- request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- DatasetsGetUsageResponse A successful response. Examples -------- from cohere import Client client = Client( client_name="YOUR_CLIENT_NAME", token="YOUR_TOKEN", ) client.datasets.get_usage() v1/datasets/usager8r=r4r?r@rArDrErFrGrHrIrJrKrLrMrNrOrPr&rTrUrQrVrWrr rXr rYrZr r rrrrrrrrrrrr[r(r4r]r^s r) get_usagezDatasetsClient.get_usages0((55== +> C Si++1c1{{,"6 ) 0$$+%KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+$KK 3&"(//&**"=$-NN$4$$+#KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+*KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+-KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsA[9Y [+\idc ,|jjjdt|d|} d|jcxkrdkr:nn7t j ttt|jS|jdk(rvtt j t jt jtt jt j|j|jdk(rvtt j t jt jtt jt j|j|jd k(rvtt j t jt jtt jt j|j|jd k(rvtt j t jt jtt jt j|j|jd k(rvt!t j t jt jtt jt j|j|jd k(rvt#t j t jt jtt jt j|j|jd k(rvt%t j t jt jtt jt j|j|jdk(rvt't j t jt jtt jt j|j|jdk(rvt)t j t jt jtt jt j|j|jdk(rvt+t j t jt jtt jt j|j|jdk(rvt-t j t jt jtt jt j|j|jdk(rvt/t j t jt jtt jt j|j|j}t3|j|#t0$r"t3|j|j4wxYw)ai Retrieve a dataset by ID. See ['Datasets'](https://docs.cohere.com/docs/datasets) for more information. Parameters ---------- id : str request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- DatasetsGetResponse A successful response. Examples -------- from cohere import Client client = Client( client_name="YOUR_CLIENT_NAME", token="YOUR_TOKEN", ) client.datasets.get( id="id", ) v1/datasets/r8rzr?r@rArDrErFrGrHrIrJrKrLrMrNrOrPr&rTrUrrQrVrWrr rXr rYrZr r rrrrrrrrrrrr[r(r~r4r]r^s r)getzDatasetsClient.getzs8((55==+B/0 1+> C Si++1c1{{'"1 ) 0$$+%KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+$KK 3&"(//&**"=$-NN$4$$+#KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+*KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+-KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsA[(Y [((+\c |jjjdt|d|} d|jcxkrdkrnnt j t jtt jt jftt jtt jt jf|jS|jdk(rvtt j t jt jtt jt j|j|jdk(rvtt j t jt jtt jt j|j|jd k(rvtt j t jt jtt jt j|j|jd k(rvt!t j t jt jtt jt j|j|jd k(rvt#t j t jt jtt jt j|j|jd k(rvt%t j t jt jtt jt j|j|jd k(rvt't j t jt jtt jt j|j|jdk(rvt)t j t jt jtt jt j|j|jdk(rvt+t j t jt jtt jt j|j|jdk(rvt-t j t jt jtt jt j|j|jdk(rvt/t j t jt jtt jt j|j|jdk(rvt1t j t jt jtt jt j|j|j}t5|j|#t2$r"t5|j|j6wxYw)a Delete a dataset by ID. Datasets are automatically deleted after 30 days, but they can also be deleted manually. Parameters ---------- id : str request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Dict[str, typing.Optional[typing.Any]] A successful response. Examples -------- from cohere import Client client = Client( client_name="YOUR_CLIENT_NAME", token="YOUR_TOKEN", ) client.datasets.delete( id="id", ) rDELETErzr?r@rArDrErFrGrHrIrJrKrLrMrNrOrPr&rTrUrrQrVrWDictstrrYrZr rXr r r rrrrrrrrrrrr[rs r)deletezDatasetsClient.delete!sF<((55==+B/0 1+> C Si++1c1{{KKV__VZZ%@ @A"$kk#vvzz/J*JK ) 0$$+%KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+$KK 3&"(//&**"=$-NN$4$$+#KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+*KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+-KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4'^^-N9#8#8~NN Sy'<'<9>>R R SsB2] )Y ] +]7)__name__ __module__ __qualname__rr*rVrYrdtdatetimefloatrrrr_rtrrFileboolUnionSequencerrvrr}rrrrZrr,r)r!r!%s.*;. .2/3.2(,)-FJ;?EOooc*EO , EO r{{+ EO u% EO&EO"??+BCEO 8EO EOZ596:PTTX/3.2)-04;?eOeO eO ii eO #OOD1 eO%ood3eO__V\\#vs7K2K%LMeO c6??3;O6O)PQeO,eOs+eO&eO??499-eO 8eO eONOSaOFOON,KaOWoaOFRVeOceOv~/NeOZmeOPNRgOgO+1??>+JgO S&//&**55 6gOr,r!ceZdZdefdZdddddddddej edej ejdej ejdej e d ej e d ej e d ej e d e fd Zdddddddedd dededej$dej edej edej ej(eej*efdej ej(eej*efdej edej edej edej ej$d ej e d efdZddd ej e d efdZddded ej e d efdZddded ej e d ej8eej ej:ffdZy) AsyncDatasetsClientr"c||_yr$r%r's r)r*zAsyncDatasetsClient.__init__r+r,Nr-r.r/r0r1r2r3r4r5c vK|jjjdd|| t|nd| t|nd|||d|d{} d|jcxkrdkr:nn7t j ttt|jS|jd k(rvtt j t jt jtt jt j|j|jd k(rvtt j t jt jtt jt j|j|jd k(rvtt j t jt jtt jt j|j|jd k(rvtt j t jt jtt jt j|j|jd k(rvt!t j t jt jtt jt j|j|jdk(rvt#t j t jt jtt jt j|j|jdk(rvt%t j t jt jtt jt j|j|jdk(rvt't j t jt jtt jt j|j|jdk(rvt)t j t jt jtt jt j|j|jdk(rvt+t j t jt jtt jt j|j|jdk(rvt-t j t jt jtt jt j|j|jdk(rvt/t j t jt jtt jt j|j|j} t3|j| 7#t0$r"t3|j|j4wxYww)a List datasets that have been created. Parameters ---------- dataset_type : typing.Optional[str] optional filter by dataset type before : typing.Optional[dt.datetime] optional filter before a date after : typing.Optional[dt.datetime] optional filter after a date limit : typing.Optional[float] optional limit to number of results offset : typing.Optional[float] optional offset to start of results validation_status : typing.Optional[DatasetValidationStatus] optional filter by validation status request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- DatasetsListResponse A successful response. Examples -------- import asyncio from cohere import AsyncClient client = AsyncClient( client_name="YOUR_CLIENT_NAME", token="YOUR_TOKEN", ) async def main() -> None: await client.datasets.list() asyncio.run(main()) r7r8Nr9r<r?r@rArDrErFrGrHrIrJrKrLrMrNrOrPrSr\s r)r_zAsyncDatasetsClient.listsGx..;;CC +8>8J,V4PT6;6G+E2T $5 ,D   C Si++1c1{{("2 ) 0$$+%KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+$KK 3&"(//&**"=$-NN$4$$+#KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+*KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+-KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4'^^-N9#8#8~NNc  ^ Sy'<'<9>>R R Ss8A\9\\9A\ $\9%Y \ 1\9 +\66\9r`rirjrkrarbrcrdrerfrgrhc \K|jjjdd|||||||| | d i|| d| td{} d| jcxkrdkr:nn7t j ttt| j S| jd k(rvtt j t jt jtt jt j| j | jd k(rvtt j t jt jtt jt j| j | jd k(rvtt j t jt jtt jt j| j | jd k(rvtt j t jt jtt jt j| j | jdk(rvt!t j t jt jtt jt j| j | jdk(rvt#t j t jt jtt jt j| j | jdk(rvt%t j t jt jtt jt j| j | jdk(rvt't j t jt jtt jt j| j | jdk(rvt)t j t jt jtt jt j| j | jdk(rvt+t j t jt jtt jt j| j | jdk(rvt-t j t jt jtt jt j| j | jdk(rvt/t j t jt jtt jt j| j | j}t3| j|7#t0$r"t3| j| j4wxYww)a Create a dataset by uploading a file. See ['Dataset Creation'](https://docs.cohere.com/docs/datasets#dataset-creation) for more information. Parameters ---------- name : str The name of the uploaded dataset. type : DatasetType The dataset type, which is used to validate the data. Valid types are `embed-input`, `reranker-finetune-input`, `single-label-classification-finetune-input`, `chat-finetune-input`, and `multi-label-classification-finetune-input`. data : core.File See core.File for more documentation keep_original_file : typing.Optional[bool] Indicates if the original file should be stored. skip_malformed_input : typing.Optional[bool] Indicates whether rows with malformed input should be dropped (instead of failing the validation check). Dropped rows will be returned in the warnings field. keep_fields : typing.Optional[typing.Union[str, typing.Sequence[str]]] List of names of fields that will be persisted in the Dataset. By default the Dataset will retain only the required fields indicated in the [schema for the corresponding Dataset type](https://docs.cohere.com/docs/datasets#dataset-types). For example, datasets of type `embed-input` will drop all fields other than the required `text` field. If any of the fields in `keep_fields` are missing from the uploaded file, Dataset validation will fail. optional_fields : typing.Optional[typing.Union[str, typing.Sequence[str]]] List of names of fields that will be persisted in the Dataset. By default the Dataset will retain only the required fields indicated in the [schema for the corresponding Dataset type](https://docs.cohere.com/docs/datasets#dataset-types). For example, Datasets of type `embed-input` will drop all fields other than the required `text` field. If any of the fields in `optional_fields` are missing from the uploaded file, Dataset validation will pass. text_separator : typing.Optional[str] Raw .txt uploads will be split into entries using the text_separator value. csv_delimiter : typing.Optional[str] The delimiter used for .csv uploads. dry_run : typing.Optional[bool] flag to enable dry_run mode eval_data : typing.Optional[core.File] See core.File for more documentation request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- DatasetsCreateResponse A successful response. Examples -------- import asyncio from cohere import AsyncClient client = AsyncClient( client_name="YOUR_CLIENT_NAME", token="YOUR_TOKEN", ) async def main() -> None: await client.datasets.create( name="name", type="embed-input", ) asyncio.run(main()) r7rmrnrorpNr?r@rArDrErFrGrHrIrJrKrLrMrNrOrPrsrus r)rvzAsyncDatasetsClient.createsHf..;;CC &8(<*#2"0!." &,)D  ,C Si++1c1{{*"4 ) 0$$+%KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+$KK 3&"(//&**"=$-NN$4$$+#KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+*KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+-KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4'^^-N9#8#8~NNu p Sy'<'<9>>R R Ss8A\,[;\, A[>\,Y [>$\,>+\))\,rwc 2K|jjjdd|d{} d|jcxkrdkr:nn7t j t tt |jS|jdk(rvtt j tjtjttjtj|j|jd k(rvtt j tjtjttjtj|j|jd k(rvtt j tjtjttjtj|j|jd k(rvtt j tjtjttjtj|j|jd k(rvtt j tjtjttjtj|j|jd k(rvt!t j tjtjttjtj|j|jdk(rvt#t j tjtjttjtj|j|jdk(rvt%t j tjtjttjtj|j|jdk(rvt't j tjtjttjtj|j|jdk(rvt)t j tjtjttjtj|j|jdk(rvt+t j tjtjttjtj|j|jdk(rvt-t j tjtjttjtj|j|j}t1|j|7#t.$r"t1|j|j2wxYww)a View the dataset storage usage for your Organization. Each Organization can have up to 10GB of storage across all their users. Parameters ---------- request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- DatasetsGetUsageResponse A successful response. Examples -------- import asyncio from cohere import AsyncClient client = AsyncClient( client_name="YOUR_CLIENT_NAME", token="YOUR_TOKEN", ) async def main() -> None: await client.datasets.get_usage() asyncio.run(main()) ryr8rzNr?r@rArDrErFrGrHrIrJrKrLrMrNrOrPr{r|s r)r}zAsyncDatasetsClient.get_usages@..;;CC +D  C Si++1c1{{,"6 ) 0$$+%KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+$KK 3&"(//&**"=$-NN$4$$+#KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+*KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+-KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4'^^-N9#8#8~NNS N Sy'<'<9>>R R Ss4,\[&\A[)\Y [)\)+\\r~c JK|jjjdt|d|d{} d|jcxkrdkr:nn7t j ttt|jS|jdk(rvtt j t jt jtt jt j|j|jd k(rvtt j t jt jtt jt j|j|jd k(rvtt j t jt jtt jt j|j|jd k(rvtt j t jt jtt jt j|j|jd k(rvt!t j t jt jtt jt j|j|jd k(rvt#t j t jt jtt jt j|j|jdk(rvt%t j t jt jtt jt j|j|jdk(rvt't j t jt jtt jt j|j|jdk(rvt)t j t jt jtt jt j|j|jdk(rvt+t j t jt jtt jt j|j|jdk(rvt-t j t jt jtt jt j|j|jdk(rvt/t j t jt jtt jt j|j|j}t3|j|7#t0$r"t3|j|j4wxYww)a Retrieve a dataset by ID. See ['Datasets'](https://docs.cohere.com/docs/datasets) for more information. Parameters ---------- id : str request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- DatasetsGetResponse A successful response. Examples -------- import asyncio from cohere import AsyncClient client = AsyncClient( client_name="YOUR_CLIENT_NAME", token="YOUR_TOKEN", ) async def main() -> None: await client.datasets.get( id="id", ) asyncio.run(main()) rr8rzNr?r@rArDrErFrGrHrIrJrKrLrMrNrOrPrrs r)rzAsyncDatasetsClient.get8s!H..;;CC+B/0 1+D  C Si++1c1{{'"1 ) 0$$+%KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+$KK 3&"(//&**"=$-NN$4$$+#KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+*KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+-KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4'^^-N9#8#8~NNS N Sy'<'<9>>R R Ss58\#[2\#A[5\#Y [5\#5+\  \#c K|jjjdt|d|d{} d|jcxkrdkrnnt j t jtt jt jftt jtt jt jf|jS|jdk(rvtt j t jt jtt jt j|j|jd k(rvtt j t jt jtt jt j|j|jd k(rvtt j t jt jtt jt j|j|jd k(rvt!t j t jt jtt jt j|j|jd k(rvt#t j t jt jtt jt j|j|jd k(rvt%t j t jt jtt jt j|j|jdk(rvt't j t jt jtt jt j|j|jdk(rvt)t j t jt jtt jt j|j|jdk(rvt+t j t jt jtt jt j|j|jdk(rvt-t j t jt jtt jt j|j|jdk(rvt/t j t jt jtt jt j|j|jdk(rvt1t j t jt jtt jt j|j|j}t5|j|7#t2$r"t5|j|j6wxYww)a Delete a dataset by ID. Datasets are automatically deleted after 30 days, but they can also be deleted manually. Parameters ---------- id : str request_options : typing.Optional[RequestOptions] Request-specific configuration. Returns ------- typing.Dict[str, typing.Optional[typing.Any]] A successful response. Examples -------- import asyncio from cohere import AsyncClient client = AsyncClient( client_name="YOUR_CLIENT_NAME", token="YOUR_TOKEN", ) async def main() -> None: await client.datasets.delete( id="id", ) asyncio.run(main()) rrrzNr?r@rArDrErFrGrHrIrJrKrLrMrNrOrPrrs r)rzAsyncDatasetsClient.deletesWL..;;CC+B/0 1+D  C Si++1c1{{KKV__VZZ%@ @A"$kk#vvzz/J*JK ) 0$$+%KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+$KK 3&"(//&**"=$-NN$4$$+#KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+*KK 3&"(//&**"=$-NN$4$$+'KK 3&"(//&**"=$-NN$4$$+.KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4$$+-KK 3&"(//&**"=$-NN$4$$+)KK 3&"(//&**"=$-NN$4'^^-N9#8#8~NNS N Sy'<'<9>>R R Ss58^]^B2]2^3Y ]?^+^^)rrrrr*rVrYrrrrrrrr_rtrrrrrrrrvrr}rrrrZrrr,r)rrs.*<. .2/3.2(,)-FJ;?MOooc*MO , MO r{{+ MO u% MO&MO"??+BCMO 8MO MOj596:PTTX/3.2)-04;?mOmO mO ii mO #OOD1 mO%ood3mO__V\\#vs7K2K%LMmO c6??3;O6O)PQmO,mOs+mO&mO??499-mO 8mO mO^UYiO&//.2QiO]uiOVX\mOCmOV__^5TmO`smO`NRoOoO+1??>+JoO S&//&**55 6oOr,r)=rVcore.client_wrapperrrrtypes.dataset_validation_statusrcore.request_optionsrtypes.datasets_list_responsercore.datetime_utilsr core.unchecked_base_modelr errors.bad_request_errorr errors.unauthorized_errorr errors.forbidden_errorr errors.not_found_errorr!errors.unprocessable_entity_errorrerrors.too_many_requests_errorrerrors.invalid_token_errorr"errors.client_closed_request_errorrerrors.internal_server_errorrerrors.not_implemented_errorr errors.service_unavailable_errorrerrors.gateway_timeout_errorr json.decoderrcore.api_errorrtypes.dataset_typerrtypes.datasets_create_responser!types.datasets_get_usage_responsertypes.datasets_get_responsercore.jsonable_encoderrrrWrZrtr!rrr,r)rs3E1>466932HA:I>>F>(%,BG<44v{{6::s#cOcOLKOKOr,