DatalabUpdateInputComputeMetadata

pydantic model openapi_client.models.datalab_update_input_compute_metadata.DatalabUpdateInputComputeMetadata

DatalabUpdateInputComputeMetadata

Fields:

• direct_internet_access (str | None)

• instance_list (List[str] | None)

• max_volume_size_in_gb (int | None)

• root_access (str | None)

• volume_size_in_gb (int | None)

field instance_list: Optional[List[StrictStr]] = None (alias 'InstanceList')

field volume_size_in_gb: Optional[Annotated[int, Field(le=16000, strict=True, ge=5)]] = None (alias 'VolumeSizeInGB')

field direct_internet_access: Optional[StrictStr] = None (alias 'DirectInternetAccess')

field root_access: Optional[StrictStr] = None (alias 'RootAccess')

field max_volume_size_in_gb: Optional[Annotated[int, Field(le=16000, strict=True, ge=5)]] = None (alias 'MaxVolumeSizeInGB')

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of DatalabUpdateInputComputeMetadata from a JSON string

Return type:

Optional[Self]

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.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of DatalabUpdateInputComputeMetadata from a dict

Return type:

Optional[Self]