Examples

Index > SagemakerJobRuntimeService > Examples

Auto-generated documentation for SagemakerJobRuntimeService type annotations stubs module mypy-boto3-sagemakerjobruntime.

Client

Implicit type annotations

Can be used with boto3-stubs[sagemakerjobruntime] package installed.

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

Client method usage example

# SagemakerJobRuntimeServiceClient usage example

from boto3.session import Session


session = Session()

client = session.client("sagemakerjobruntime")  # (1)
result = client.sample()  # (2)

1. client: SagemakerJobRuntimeServiceClient
2. result: SampleResponseTypeDef

Explicit type annotations

With boto3-stubs-lite[sagemakerjobruntime] or a standalone mypy_boto3_sagemakerjobruntime package, you have to explicitly specify client: SagemakerJobRuntimeServiceClient 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

# SagemakerJobRuntimeServiceClient usage example with type annotations

from boto3.session import Session

from mypy_boto3_sagemakerjobruntime.client import SagemakerJobRuntimeServiceClient
from mypy_boto3_sagemakerjobruntime.type_defs import SampleResponseTypeDef
from mypy_boto3_sagemakerjobruntime.type_defs import SampleRequestTypeDef


session = Session()

client: SagemakerJobRuntimeServiceClient = session.client("sagemakerjobruntime")

kwargs: SampleRequestTypeDef = {...}
result: SampleResponseTypeDef = client.sample(**kwargs)