Examples

Index > CleanRoomsML > Examples

Auto-generated documentation for CleanRoomsML type annotations stubs module types-aiobotocore-cleanroomsml.

Client

Implicit type annotations

Can be used with types-aioboto3[cleanroomsml] package installed.

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

# CleanRoomsMLClient usage example

from aioboto3.session import Session


session = Session()

async with session.client("cleanroomsml") as client:  # (1)
    result = await client.create_audience_model()  # (2)

1. client: CleanRoomsMLClient
2. result: CreateAudienceModelResponseTypeDef

# ListAudienceExportJobsPaginator usage example

from aioboto3.session import Session


session = Session()

async with session.client("cleanroomsml") as client:  # (1)
    paginator = client.get_paginator("list_audience_export_jobs")  # (2)
    async for item in paginator.paginate(...):
        print(item)  # (3)

1. client: CleanRoomsMLClient
2. paginator: ListAudienceExportJobsPaginator
3. item: ListAudienceExportJobsResponseTypeDef

Explicit type annotations

With types-aioboto3-lite[cleanroomsml] or a standalone types_aiobotocore_cleanroomsml package, you have to explicitly specify client: CleanRoomsMLClient 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.

# CleanRoomsMLClient usage example with type annotations

from aioboto3.session import Session

from types_aiobotocore_cleanroomsml.client import CleanRoomsMLClient
from types_aiobotocore_cleanroomsml.type_defs import CreateAudienceModelResponseTypeDef
from types_aiobotocore_cleanroomsml.type_defs import CreateAudienceModelRequestRequestTypeDef


session = Session()

client: CleanRoomsMLClient
async with session.client("cleanroomsml") as client:  # (1)
    kwargs: CreateAudienceModelRequestRequestTypeDef = {...}  # (2)
    result: CreateAudienceModelResponseTypeDef = await client.create_audience_model(**kwargs)  # (3)

1. client: CleanRoomsMLClient
2. kwargs: CreateAudienceModelRequestRequestTypeDef
3. result: CreateAudienceModelResponseTypeDef

# ListAudienceExportJobsPaginator usage example with type annotations

from aioboto3.session import Session

from types_aiobotocore_cleanroomsml.client import CleanRoomsMLClient
from types_aiobotocore_cleanroomsml.paginator import ListAudienceExportJobsPaginator
from types_aiobotocore_cleanroomsml.type_defs import ListAudienceExportJobsResponseTypeDef


session = Session()

client: CleanRoomsMLClient
async with session.client("cleanroomsml") as client:  # (1)
    paginator: ListAudienceExportJobsPaginator = client.get_paginator("list_audience_export_jobs")  # (2)
    async for item in paginator.paginate(...):
        item: ListAudienceExportJobsResponseTypeDef
        print(item)  # (3)

1. client: CleanRoomsMLClient
2. paginator: ListAudienceExportJobsPaginator
3. item: ListAudienceExportJobsResponseTypeDef