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ElasticInference module#

Index > ElasticInference

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

How to install#

From PyPI with pip#

Install types-aiobotocore for ElasticInference service.

# install with aiobotocore type annotations
python -m pip install 'types-aiobotocore[elastic-inference]'


# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-aiobotocore-lite[elastic-inference]'


# standalone installation
python -m pip install types-aiobotocore-elastic-inference

How to uninstall#

python -m pip uninstall -y types-aiobotocore-elastic-inference

Usage#

Code samples can be found in Examples.

ElasticInferenceClient#

Type annotations and code completion for session.create_client("elastic-inference") as ElasticInferenceClient boto3 documentation

# ElasticInferenceClient usage example

from aiobotocore.session import get_session

from types_aiobotocore_elastic_inference.client import ElasticInferenceClient


session = get_session()
async with session.create_client("elastic-inference") as client:
    client: ElasticInferenceClient

Paginators#

Type annotations and code completion for paginators from session.create_client("elastic-inference").get_paginator("...").

# DescribeAcceleratorsPaginator usage example

from types_aiobotocore_elastic_inference.paginator import DescribeAcceleratorsPaginator

def get_describe_accelerators_paginator() -> DescribeAcceleratorsPaginator:
    return client.get_paginator("describe_accelerators"))

Literals#

Type annotations for literals used in methods and schema.

# DescribeAcceleratorsPaginatorName usage example

from types_aiobotocore_elastic_inference.literals import DescribeAcceleratorsPaginatorName

def get_value() -> DescribeAcceleratorsPaginatorName:
    return "describe_accelerators"

Type definitions#

Type annotations for type definitions used in methods and schema.