Create a definition for executing a container as part of a SageMaker model.

    Args:
        image (str): Docker image to run for this container.
        model_data_url (str): S3 URI of data required by this container,
            e.g. SageMaker training job model artifacts (default: None).
        env (dict[str, str]): Environment variables to set inside the container (default: None).
    Returns:
        dict[str, str]: A complete container definition object usable with the CreateModel API if passed via
        `PrimaryContainers` field.

def container_def(image, model_data_url=None, env=None):
    """Create a definition for executing a container as part of a SageMaker model.

    Args:
        image (str): Docker image to run for this container.
        model_data_url (str): S3 URI of data required by this container,
            e.g. SageMaker training job model artifacts (default: None).
        env (dict[str, str]): Environment variables to set inside the container (default: None).
    Returns:
        dict[str, str]: A complete container definition object usable with the CreateModel API if passed via
        `PrimaryContainers` field.
    """
    if env is None:
        env = {}
    c_def = {'Image': image, 'Environment': env}
    if model_data_url:
        c_def['ModelDataUrl'] = model_data_url
    return c_def