Examples

Index > ElasticInference > Examples

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

Client

Implicit type annotations

Can be used with types-aiobotocore[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 aiobotocore.session import get_session


session = get_session()

async with session.create_client("elastic-inference") as client:  # (1)
    result = await client.describe_accelerator_offerings()  # (2)

1. client: ElasticInferenceClient
2. result: DescribeAcceleratorOfferingsResponseTypeDef

# DescribeAcceleratorsPaginator usage example

from aiobotocore.session import get_session


session = get_session()

async with session.create_client("elastic-inference") as client:  # (1)
    paginator = client.get_paginator("describe_accelerators")  # (2)
    async for item in paginator.paginate(...):
        print(item)  # (3)

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

Explicit type annotations

With types-aiobotocore-lite[elastic-inference] or a standalone types_aiobotocore_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 aiobotocore.session import get_session

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


session = get_session()

async with session.create_client("elastic-inference") as client:
    client: ElasticInferenceClient
    kwargs: DescribeAcceleratorOfferingsRequestRequestTypeDef = {...}
    result: DescribeAcceleratorOfferingsResponseTypeDef = await client.describe_accelerator_offerings(**kwargs)

# DescribeAcceleratorsPaginator usage example with type annotations

from aiobotocore.session import get_session

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


session = get_session()

async with session.create_client("elastic-inference") as client:
    client: ElasticInferenceClient
    paginator: DescribeAcceleratorsPaginator = client.get_paginator("describe_accelerators")
    async for item in paginator.paginate(...):
        item: DescribeAcceleratorsResponseTypeDef
        print(item)