Examples#
Index > CleanRoomsML > Examples
Auto-generated documentation for CleanRoomsML type annotations stubs module types-boto3-cleanroomsml.
Client#
Implicit type annotations#
Can be used with types-boto3[cleanroomsml]
package installed.
Write your CleanRoomsML
code as usual,
type checking and code completion should work out of the box.
# CleanRoomsMLClient usage example
from boto3.session import Session
session = Session()
client = session.client("cleanroomsml") # (1)
result = client.cancel_trained_model() # (2)
- client: CleanRoomsMLClient
- result: EmptyResponseMetadataTypeDef
# ListAudienceExportJobsPaginator usage example
from boto3.session import Session
session = Session()
client = session.client("cleanroomsml") # (1)
paginator = client.get_paginator("list_audience_export_jobs") # (2)
for item in paginator.paginate(...):
print(item) # (3)
- client: CleanRoomsMLClient
- paginator: ListAudienceExportJobsPaginator
- item: ListAudienceExportJobsResponseTypeDef
Explicit type annotations#
With types-boto3-lite[cleanroomsml]
or a standalone types_boto3_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 boto3.session import Session
from types_boto3_cleanroomsml.client import CleanRoomsMLClient
from types_boto3_cleanroomsml.type_defs import EmptyResponseMetadataTypeDef
from types_boto3_cleanroomsml.type_defs import CancelTrainedModelRequestRequestTypeDef
session = Session()
client: CleanRoomsMLClient = session.client("cleanroomsml")
kwargs: CancelTrainedModelRequestRequestTypeDef = {...}
result: EmptyResponseMetadataTypeDef = client.cancel_trained_model(**kwargs)
# ListAudienceExportJobsPaginator usage example with type annotations
from boto3.session import Session
from types_boto3_cleanroomsml.client import CleanRoomsMLClient
from types_boto3_cleanroomsml.paginator import ListAudienceExportJobsPaginator
from types_boto3_cleanroomsml.type_defs import ListAudienceExportJobsResponseTypeDef
session = Session()
client: CleanRoomsMLClient = session.client("cleanroomsml")
paginator: ListAudienceExportJobsPaginator = client.get_paginator("list_audience_export_jobs")
for item in paginator.paginate(...):
item: ListAudienceExportJobsResponseTypeDef
print(item)