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ProcessingInput

Source code in docs_src/capo_sagemaker/types/processing_input.py 
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class ProcessingInput(TypedDict, closed=True):
    input_name: NotRequired["capo_sagemaker.types.string.String"]
    """<p>The name for the processing job input.</p>"""
    app_managed: NotRequired["capo_sagemaker.types.app_managed.AppManaged"]
    """<p>When <code>True</code>, input operations such as data download are managed natively by the processing job application. When <code>False</code> (default), input operations are managed by Amazon SageMaker.</p>"""
    s3_input: NotRequired["capo_sagemaker.types.processing_s3_input.ProcessingS3Input"]
    """<p>Configuration for downloading input data from Amazon S3 into the processing container.</p>"""
    dataset_definition: NotRequired[
        "capo_sagemaker.types.dataset_definition.DatasetDefinition"
    ]
    """<p>Configuration for a Dataset Definition input. </p>"""

app_managed instance-attribute 

app_managed: NotRequired[AppManaged]

When True, input operations such as data download are managed natively by the processing job application. When False (default), input operations are managed by Amazon SageMaker.

dataset_definition instance-attribute 

dataset_definition: NotRequired[DatasetDefinition]

Configuration for a Dataset Definition input.

input_name instance-attribute 

input_name: NotRequired[String]

The name for the processing job input.

s3_input instance-attribute 

s3_input: NotRequired[ProcessingS3Input]

Configuration for downloading input data from Amazon S3 into the processing container.