Python库 | mypy-boto3-autoscaling-1.10.38.1.tar.gz

# mypy-boto3-autoscaling Mypy-friendly auto-generated type annotations for `boto3 autoscaling 1.10.38` service. More information can be found [here](https://github.com/vemel/mypy_boto3). - [mypy-boto3-autoscaling](#mypy-boto3-autoscaling) - [How to use](#how-to-use) - [Type checking](#type-checking) - [Code auto-complete](#code-auto-complete) - [How it works](#how-it-works) ## How to use ### Type checking Make sure you have [mypy](https://github.com/python/mypy) installed and activated in your IDE. Install `boto3-stubs` for `autoscaling` service. ```bash python -m pip install boto3-stubs[mypy-boto3-autoscaling] # build service index. You should execute this command everytime # you install or remove service packages python -m mypy_boto3 ``` Use `boto3` with `mypy_boto3` in your project and enjoy type checking. ```python import boto3 from mypy_boto3 import autoscaling # alternative import if you do not want to install mypy_boto3 package # import mypy_boto3_autoscaling as autoscaling # Use this client as usual, now mypy can check if your code is valid. # Check if your IDE supports function overloads, # you probably do not need explicit type annotations # client = boto3.client("autoscaling") client: autoscaling.AutoScalingClient = boto3.client("autoscaling") # works for session as well session = boto3.session.Session(region="us-west-1") session_client: autoscaling.AutoScalingClient = session.client("autoscaling") # Paginators need type annotation on creation describe_auto_scaling_groups_paginator: autoscaling.DescribeAutoScalingGroupsPaginator = client.get_paginator("describe_auto_scaling_groups") describe_auto_scaling_instances_paginator: autoscaling.DescribeAutoScalingInstancesPaginator = client.get_paginator("describe_auto_scaling_instances") describe_launch_configurations_paginator: autoscaling.DescribeLaunchConfigurationsPaginator = client.get_paginator("describe_launch_configurations") describe_load_balancer_target_groups_paginator: autoscaling.DescribeLoadBalancerTargetGroupsPaginator = client.get_paginator("describe_load_balancer_target_groups") describe_load_balancers_paginator: autoscaling.DescribeLoadBalancersPaginator = client.get_paginator("describe_load_balancers") describe_notification_configurations_paginator: autoscaling.DescribeNotificationConfigurationsPaginator = client.get_paginator("describe_notification_configurations") describe_policies_paginator: autoscaling.DescribePoliciesPaginator = client.get_paginator("describe_policies") describe_scaling_activities_paginator: autoscaling.DescribeScalingActivitiesPaginator = client.get_paginator("describe_scaling_activities") describe_scheduled_actions_paginator: autoscaling.DescribeScheduledActionsPaginator = client.get_paginator("describe_scheduled_actions") describe_tags_paginator: autoscaling.DescribeTagsPaginator = client.get_paginator("describe_tags") ``` ## How it works Fully automated [builder](https://github.com/vemel/mypy_boto3) carefully generates type annotations for each service, patiently waiting for `boto3` updates. It delivers a drop-in type annotations for you and makes sure that: - Latest version of `boto3` is used. - Each public class and method of every `boto3` service gets valid type annotations extracted from latest documentation (blame `botocore` docs if types are incorrect). - Type annotations include up-to-date documentation. - Code is processed by [black](https://github.com/psf/black) for readability. ## Submodules - `master` - Install `mypy-boto3` package.