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StudioLifecycleConfigDetails

Source code in docs_src/capo_sagemaker/types/studio_lifecycle_config_details.py
class StudioLifecycleConfigDetails(TypedDict, closed=True):
    studio_lifecycle_config_arn: NotRequired[
        "capo_sagemaker.types.studio_lifecycle_config_arn.StudioLifecycleConfigArn"
    ]
    """<p> The Amazon Resource Name (ARN) of the Lifecycle Configuration.</p>"""
    studio_lifecycle_config_name: NotRequired[
        "capo_sagemaker.types.studio_lifecycle_config_name.StudioLifecycleConfigName"
    ]
    """<p>The name of the Amazon SageMaker AI Studio Lifecycle Configuration.</p>"""
    creation_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>The creation time of the Amazon SageMaker AI Studio Lifecycle Configuration.</p>"""
    last_modified_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>This value is equivalent to CreationTime because Amazon SageMaker AI Studio Lifecycle Configurations are immutable.</p>"""
    studio_lifecycle_config_app_type: NotRequired[
        "capo_sagemaker.types.studio_lifecycle_config_app_type.StudioLifecycleConfigAppType"
    ]
    """<p>The App type to which the Lifecycle Configuration is attached.</p>"""

creation_time instance-attribute

creation_time: NotRequired[Timestamp]

The creation time of the Amazon SageMaker AI Studio Lifecycle Configuration.

last_modified_time instance-attribute

last_modified_time: NotRequired[Timestamp]

This value is equivalent to CreationTime because Amazon SageMaker AI Studio Lifecycle Configurations are immutable.

studio_lifecycle_config_app_type instance-attribute

studio_lifecycle_config_app_type: NotRequired[StudioLifecycleConfigAppType]

The App type to which the Lifecycle Configuration is attached.

studio_lifecycle_config_arn instance-attribute

studio_lifecycle_config_arn: NotRequired[StudioLifecycleConfigArn]

The Amazon Resource Name (ARN) of the Lifecycle Configuration.

studio_lifecycle_config_name instance-attribute

studio_lifecycle_config_name: NotRequired[StudioLifecycleConfigName]

The name of the Amazon SageMaker AI Studio Lifecycle Configuration.