DatalabCreateInputComputeMetadata¶

pydantic model openapi_client.models.datalab_create_input_compute_metadata.DatalabCreateInputComputeMetadata¶

Compute settings. Anything omitted falls back to a default.

Fields:

field instance_list: Optional[List[StrictStr]] = None (alias 'InstanceList')¶: Instance type to run on, chosen from those enabled for the application. Notebook datalabs accept exactly one. Defaults to the cheapest available type.

field volume_size_in_gb: Optional[Annotated[int, Field(le=16000, strict=True, ge=5)]] = 10 (alias 'VolumeSizeInGB')¶: Storage attached to the datalab, in GB.

field direct_internet_access: Optional[StrictStr] = 'Disabled' (alias 'DirectInternetAccess')¶: Whether the datalab can reach the internet. Can only be set at creation, and must be Enabled when interactive sessions are enabled.

field root_access: Optional[StrictStr] = 'Disabled' (alias 'RootAccess')¶: Notebook datalabs only. Whether users get root access on the instance.

field max_volume_size_in_gb: Optional[Annotated[int, Field(le=16000, strict=True, ge=5)]] = 100 (alias 'MaxVolumeSizeInGB')¶: Studio datalabs only. Upper limit users can grow their storage to.

to_str()¶

Returns the string representation of the model using alias

to_json()¶

Returns the JSON representation of the model using alias

classmethod from_json(json_str)¶

Create an instance of DatalabCreateInputComputeMetadata from a JSON string

to_dict()¶

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

classmethod from_dict(obj)¶

Create an instance of DatalabCreateInputComputeMetadata from a dict