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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _prepare_init_params_from_job_description(cls, job_details):
 """Convert the transform job description to init params that can be handled by the class constructor Args: job_details (dict):
 the returned job details from a describe_transform_job API call. Returns: dict: The transformed init_params """

        init_params = dict()

        init_params['model_name'] = job_details['ModelName']
        init_params['instance_count'] = job_details['TransformResources']['InstanceCount']
        init_params['instance_type'] = job_details['TransformResources']['InstanceType']
        init_params['volume_kms_key'] = job_details['TransformResources'].get('VolumeKmsKeyId')
        init_params['strategy'] = job_details.get('BatchStrategy')
        init_params['assemble_with'] = job_details['TransformOutput'].get('AssembleWith')
        init_params['output_path'] = job_details['TransformOutput']['S3OutputPath']
        init_params['output_kms_key'] = job_details['TransformOutput'].get('KmsKeyId')
        init_params['accept'] = job_details['TransformOutput'].get('Accept')
        init_params['max_concurrent_transforms'] = job_details.get('MaxConcurrentTransforms')
        init_params['max_payload'] = job_details.get('MaxPayloadInMB')
        init_params['base_transform_job_name'] = job_details['TransformJobName']

        return init_params