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ProcessingS3Output

Source code in docs_src/capo_sagemaker/types/processing_s3_output.py 
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class ProcessingS3Output(TypedDict, closed=True):
    s3_uri: NotRequired["capo_sagemaker.types.s3_uri.S3Uri"]
    """<p>A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.</p>"""
    local_path: NotRequired[
        "capo_sagemaker.types.processing_local_path.ProcessingLocalPath"
    ]
    """<p>The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3. <code>LocalPath</code> is an absolute path to a directory containing output files. This directory will be created by the platform and exist when your container's entrypoint is invoked.</p>"""
    s3_upload_mode: NotRequired[
        "capo_sagemaker.types.processing_s3_upload_mode.ProcessingS3UploadMode"
    ]
    """<p>Whether to upload the results of the processing job continuously or after the job completes.</p>"""

local_path instance-attribute 

local_path: NotRequired[ProcessingLocalPath]

The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3. LocalPath is an absolute path to a directory containing output files. This directory will be created by the platform and exist when your container's entrypoint is invoked.

s3_upload_mode instance-attribute 

s3_upload_mode: NotRequired[ProcessingS3UploadMode]

Whether to upload the results of the processing job continuously or after the job completes.

s3_uri instance-attribute 

s3_uri: NotRequired[S3Uri]

A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.