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-aioboto3[sagemaker-featurestore-runtime]
package installed.
Write your SageMakerFeatureStoreRuntime
code as usual,
type checking and code completion should work out of the box.
from aioboto3.session import Session
session = Session()
async with session.client("sagemaker-featurestore-runtime") as client: # (1)
result = await client.batch_get_record() # (2)
- client: SageMakerFeatureStoreRuntimeClient
- result: BatchGetRecordResponseTypeDef
Explicit type annotations
With types-aioboto3-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.
from aioboto3.session import 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 = Session()
client: SageMakerFeatureStoreRuntimeClient
async with session.client("sagemaker-featurestore-runtime") as client: # (1)
kwargs: BatchGetRecordRequestRequestTypeDef = {...} # (2)
result: BatchGetRecordResponseTypeDef = await client.batch_get_record(**kwargs) # (3)
- client: SageMakerFeatureStoreRuntimeClient
- kwargs: BatchGetRecordRequestRequestTypeDef
- result: BatchGetRecordResponseTypeDef