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Examples#

Index > CloudWatchEvidently > Examples

Auto-generated documentation for CloudWatchEvidently type annotations stubs module types-aiobotocore-evidently.

Client#

Implicit type annotations#

Can be used with types-aiobotocore[evidently] package installed.

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

# CloudWatchEvidentlyClient usage example

from aiobotocore.session import get_session


session = get_session()

async with session.create_client("evidently") as client:  # (1)
    result = await client.batch_evaluate_feature()  # (2)
  1. client: CloudWatchEvidentlyClient
  2. result: BatchEvaluateFeatureResponseTypeDef
# ListExperimentsPaginator usage example

from aiobotocore.session import get_session


session = get_session()

async with session.create_client("evidently") as client:  # (1)
    paginator = client.get_paginator("list_experiments")  # (2)
    async for item in paginator.paginate(...):
        print(item)  # (3)
  1. client: CloudWatchEvidentlyClient
  2. paginator: ListExperimentsPaginator
  3. item: ListExperimentsResponseTypeDef

Explicit type annotations#

With types-aiobotocore-lite[evidently] or a standalone types_aiobotocore_evidently package, you have to explicitly specify client: CloudWatchEvidentlyClient 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.

# CloudWatchEvidentlyClient usage example with type annotations

from aiobotocore.session import get_session

from types_aiobotocore_evidently.client import CloudWatchEvidentlyClient
from types_aiobotocore_evidently.type_defs import BatchEvaluateFeatureResponseTypeDef
from types_aiobotocore_evidently.type_defs import BatchEvaluateFeatureRequestRequestTypeDef


session = get_session()

async with session.create_client("evidently") as client:
    client: CloudWatchEvidentlyClient
    kwargs: BatchEvaluateFeatureRequestRequestTypeDef = {...}
    result: BatchEvaluateFeatureResponseTypeDef = await client.batch_evaluate_feature(**kwargs)
# ListExperimentsPaginator usage example with type annotations

from aiobotocore.session import get_session

from types_aiobotocore_evidently.client import CloudWatchEvidentlyClient
from types_aiobotocore_evidently.paginator import ListExperimentsPaginator
from types_aiobotocore_evidently.type_defs import ListExperimentsResponseTypeDef


session = get_session()

async with session.create_client("evidently") as client:
    client: CloudWatchEvidentlyClient
    paginator: ListExperimentsPaginator = client.get_paginator("list_experiments")
    async for item in paginator.paginate(...):
        item: ListExperimentsResponseTypeDef
        print(item)