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AdditionalS3DataSource

Source code in docs_src/capo_sagemaker/types/additional_s3_data_source.py 
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class AdditionalS3DataSource(TypedDict, closed=True):
    s3_data_type: NotRequired[
        "capo_sagemaker.types.additional_s3_data_source_data_type.AdditionalS3DataSourceDataType"
    ]
    """<p>The data type of the additional data source that you specify for use in inference or training. </p>"""
    s3_uri: NotRequired["capo_sagemaker.types.s3_uri.S3Uri"]
    """<p>The uniform resource identifier (URI) used to identify an additional data source used in inference or training.</p>"""
    compression_type: NotRequired[
        "capo_sagemaker.types.compression_type.CompressionType"
    ]
    """<p>The type of compression used for an additional data source used in inference or training. Specify <code>None</code> if your additional data source is not compressed.</p>"""
    e_tag: NotRequired["capo_sagemaker.types.string.String"]
    """<p>The ETag associated with S3 URI.</p>"""

compression_type instance-attribute 

compression_type: NotRequired[CompressionType]

The type of compression used for an additional data source used in inference or training. Specify None if your additional data source is not compressed.

e_tag instance-attribute 

e_tag: NotRequired[String]

The ETag associated with S3 URI.

s3_data_type instance-attribute 

s3_data_type: NotRequired[AdditionalS3DataSourceDataType]

The data type of the additional data source that you specify for use in inference or training.

s3_uri instance-attribute 

s3_uri: NotRequired[S3Uri]

The uniform resource identifier (URI) used to identify an additional data source used in inference or training.