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Examples#

Index > DataZone > Examples

Auto-generated documentation for DataZone type annotations stubs module types-aiobotocore-datazone.

Client#

Implicit type annotations#

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

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

# DataZoneClient usage example

from aioboto3.session import Session


session = Session()

async with session.client("datazone") as client:  # (1)
    result = await client.accept_predictions()  # (2)
  1. client: DataZoneClient
  2. result: AcceptPredictionsOutputTypeDef
# ListAssetRevisionsPaginator usage example

from aioboto3.session import Session


session = Session()

async with session.client("datazone") as client:  # (1)
    paginator = client.get_paginator("list_asset_revisions")  # (2)
    async for item in paginator.paginate(...):
        print(item)  # (3)
  1. client: DataZoneClient
  2. paginator: ListAssetRevisionsPaginator
  3. item: ListAssetRevisionsOutputTypeDef

Explicit type annotations#

With types-aioboto3-lite[datazone] or a standalone types_aiobotocore_datazone package, you have to explicitly specify client: DataZoneClient 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.

# DataZoneClient usage example with type annotations

from aioboto3.session import Session

from types_aiobotocore_datazone.client import DataZoneClient
from types_aiobotocore_datazone.type_defs import AcceptPredictionsOutputTypeDef
from types_aiobotocore_datazone.type_defs import AcceptPredictionsInputRequestTypeDef


session = Session()

client: DataZoneClient
async with session.client("datazone") as client:  # (1)
    kwargs: AcceptPredictionsInputRequestTypeDef = {...}  # (2)
    result: AcceptPredictionsOutputTypeDef = await client.accept_predictions(**kwargs)  # (3)
  1. client: DataZoneClient
  2. kwargs: AcceptPredictionsInputRequestTypeDef
  3. result: AcceptPredictionsOutputTypeDef
# ListAssetRevisionsPaginator usage example with type annotations

from aioboto3.session import Session

from types_aiobotocore_datazone.client import DataZoneClient
from types_aiobotocore_datazone.paginator import ListAssetRevisionsPaginator
from types_aiobotocore_datazone.type_defs import ListAssetRevisionsOutputTypeDef


session = Session()

client: DataZoneClient
async with session.client("datazone") as client:  # (1)
    paginator: ListAssetRevisionsPaginator = client.get_paginator("list_asset_revisions")  # (2)
    async for item in paginator.paginate(...):
        item: ListAssetRevisionsOutputTypeDef
        print(item)  # (3)
  1. client: DataZoneClient
  2. paginator: ListAssetRevisionsPaginator
  3. item: ListAssetRevisionsOutputTypeDef