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EntityResolution module#

Index > EntityResolution

Auto-generated documentation for EntityResolution type annotations stubs module types-aiobotocore-entityresolution.

How to install#

From PyPI with pip#

Install types-aiobotocore for EntityResolution service.

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


# 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[entityresolution]'


# standalone installation
python -m pip install types-aiobotocore-entityresolution

How to uninstall#

python -m pip uninstall -y types-aiobotocore-entityresolution

Usage#

Code samples can be found in Examples.

EntityResolutionClient#

Type annotations and code completion for session.create_client("entityresolution") as EntityResolutionClient boto3 documentation

# EntityResolutionClient usage example

from aiobotocore.session import get_session

from types_aiobotocore_entityresolution.client import EntityResolutionClient


session = get_session()
async with session.create_client("entityresolution") as client:
    client: EntityResolutionClient

Paginators#

Type annotations and code completion for paginators from session.create_client("entityresolution").get_paginator("...").

# ListMatchingJobsPaginator usage example

from types_aiobotocore_entityresolution.paginator import ListMatchingJobsPaginator

def get_list_matching_jobs_paginator() -> ListMatchingJobsPaginator:
    return client.get_paginator("list_matching_jobs"))

Literals#

Type annotations for literals used in methods and schema.

# AttributeMatchingModelType usage example

from types_aiobotocore_entityresolution.literals import AttributeMatchingModelType

def get_value() -> AttributeMatchingModelType:
    return "MANY_TO_MANY"

Type definitions#

Type annotations for type definitions used in methods and schema.