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.

Client method usage example

# 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.

Client method usage example

# 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 BatchGetRecordRequestTypeDef


session = get_session()

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