Examples

Index > ElasticInference > Examples

Auto-generated documentation for ElasticInference type annotations stubs module types-boto3-elastic-inference.

Client

Implicit type annotations

Can be used with types-boto3[elastic-inference] package installed.

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

# ElasticInferenceClient usage example

from boto3.session import Session


session = Session()

client = session.client("elastic-inference")  # (1)
result = client.describe_accelerator_offerings()  # (2)

1. client: ElasticInferenceClient
2. result: DescribeAcceleratorOfferingsResponseTypeDef

# DescribeAcceleratorsPaginator usage example

from boto3.session import Session


session = Session()
client = session.client("elastic-inference")  # (1)

paginator = client.get_paginator("describe_accelerators")  # (2)
for item in paginator.paginate(...):
    print(item)  # (3)

1. client: ElasticInferenceClient
2. paginator: DescribeAcceleratorsPaginator
3. item: DescribeAcceleratorsResponseTypeDef

Explicit type annotations

With types-boto3-lite[elastic-inference] or a standalone types_boto3_elastic_inference package, you have to explicitly specify client: ElasticInferenceClient 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.

# ElasticInferenceClient usage example with type annotations

from boto3.session import Session

from types_boto3_elastic_inference.client import ElasticInferenceClient
from types_boto3_elastic_inference.type_defs import DescribeAcceleratorOfferingsResponseTypeDef
from types_boto3_elastic_inference.type_defs import DescribeAcceleratorOfferingsRequestRequestTypeDef


session = Session()

client: ElasticInferenceClient = session.client("elastic-inference")

kwargs: DescribeAcceleratorOfferingsRequestRequestTypeDef = {...}
result: DescribeAcceleratorOfferingsResponseTypeDef = client.describe_accelerator_offerings(**kwargs)

# DescribeAcceleratorsPaginator usage example with type annotations

from boto3.session import Session

from types_boto3_elastic_inference.client import ElasticInferenceClient
from types_boto3_elastic_inference.paginator import DescribeAcceleratorsPaginator
from types_boto3_elastic_inference.type_defs import DescribeAcceleratorsResponseTypeDef


session = Session()
client: ElasticInferenceClient = session.client("elastic-inference")

paginator: DescribeAcceleratorsPaginator = client.get_paginator("describe_accelerators")
for item in paginator.paginate(...):
    item: DescribeAcceleratorsResponseTypeDef
    print(item)