Skip to content

Examples#

Index > SageMakerFeatureStoreRuntime > Examples

Auto-generated documentation for SageMakerFeatureStoreRuntime type annotations stubs module types-aiobotocore-sagemaker-featurestore-runtime.

Client#

Implicit type annotations#

Can be used with types-aiobotocore[sagemaker-featurestore-runtime] package installed.

Write your SageMakerFeatureStoreRuntime code as usual, type checking and code completion should work out of the box.

# SageMakerFeatureStoreRuntimeClient usage example

from aiobotocore.session import get_session


session = get_session()

async with session.create_client("sagemaker-featurestore-runtime") as client:  # (1)
    result = await client.batch_get_record()  # (2)
  1. client: SageMakerFeatureStoreRuntimeClient
  2. result: BatchGetRecordResponseTypeDef

Explicit type annotations#

With types-aiobotocore-lite[sagemaker-featurestore-runtime] or a standalone types_aiobotocore_sagemaker_featurestore_runtime package, you have to explicitly specify client: SageMakerFeatureStoreRuntimeClient type annotation.

All other type annotations are optional, as types should be discovered automatically. However, these type annotations can be helpful in your functions and methods.

# SageMakerFeatureStoreRuntimeClient usage example with type annotations

from aiobotocore.session import get_session

from types_aiobotocore_sagemaker_featurestore_runtime.client import SageMakerFeatureStoreRuntimeClient
from types_aiobotocore_sagemaker_featurestore_runtime.type_defs import BatchGetRecordResponseTypeDef
from types_aiobotocore_sagemaker_featurestore_runtime.type_defs import BatchGetRecordRequestRequestTypeDef


session = get_session()

async with session.create_client("sagemaker-featurestore-runtime") as client:
    client: SageMakerFeatureStoreRuntimeClient
    kwargs: BatchGetRecordRequestRequestTypeDef = {...}
    result: BatchGetRecordResponseTypeDef = await client.batch_get_record(**kwargs)