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ElasticInference module#

Index > ElasticInference

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

How to install#

You can generate type annotations for boto3 package locally with mypy_boto3_builder. Use uv for build isolation.

  1. Run mypy-boto3-builder in your package root directory: uvx --with 'boto3==1.35.86' mypy_boto3_builder
  2. Select boto3-stubs AWS SDK.
  3. Add ElasticInference service.
  4. Use provided commands to install generated packages.

VSCode extension#

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and ElasticInference.

From PyPI with pip#

Install boto3-stubs for ElasticInference service.

# install with boto3 type annotations
python -m pip install 'boto3-stubs[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 'boto3-stubs-lite[elastic-inference]'

# standalone installation
python -m pip install mypy-boto3-elastic-inference

How to uninstall#

python -m pip uninstall -y mypy-boto3-elastic-inference

Usage#

Code samples can be found in Examples.

ElasticInferenceClient#

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

# ElasticInferenceClient usage example

from boto3.session import Session

from mypy_boto3_elastic_inference.client import ElasticInferenceClient

def get_client() -> ElasticInferenceClient:
    return Session().client("elastic-inference")

Paginators#

Type annotations and code completion for paginators from boto3.client("elastic-inference").get_paginator("...").

# DescribeAcceleratorsPaginator usage example

from boto3.session import Session

from mypy_boto3_elastic_inference.paginator import DescribeAcceleratorsPaginator

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

Literals#

Type annotations for literals used in methods and schema.

# DescribeAcceleratorsPaginatorName usage example

from mypy_boto3_elastic_inference.literals import DescribeAcceleratorsPaginatorName

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

Type definitions#

Type annotations for type definitions used in methods and schema.