Python库 | mypy-boto3-autoscaling-plans-1.13.24.0.tar.gz

# mypy-boto3-autoscaling-plans [](https://pypi.org/project/mypy-boto3-autoscaling-plans) [](https://pypi.org/project/mypy-boto3-autoscaling-plans) [](https://mypy-boto3-builder.readthedocs.io/) Type annotations for [boto3.AutoScalingPlans 1.13.24](https://boto3.amazonaws.com/v1/documentation/api/1.13.24/reference/services/autoscaling-plans.html#AutoScalingPlans) service compatible with [mypy](https://github.com/python/mypy), [VSCode](https://code.visualstudio.com/), [PyCharm](https://www.jetbrains.com/pycharm/) and other tools. Generated by [mypy-boto3-buider 1.0.9](https://github.com/vemel/mypy_boto3_builder). More information can be found on [boto3-stubs](https://pypi.org/project/boto3-stubs/) page. - [mypy-boto3-autoscaling-plans](#mypy-boto3-autoscaling-plans) - [How to use](#how-to-use) - [Type checking](#type-checking) - [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 `AutoScalingPlans` service. ```bash python -m pip install boto3-stubs[autoscaling-plans] # update installed packages index mypy_boto3 ``` Use `boto3` with `mypy_boto3` in your project and enjoy type checking and auto-complete. ```python import boto3 from mypy_boto3 import autoscaling_plans # alternative import if you do not want to install mypy_boto3 package # import mypy_boto3_autoscaling_plans as autoscaling_plans # 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-plans") client: autoscaling_plans.AutoScalingPlansClient = boto3.client("autoscaling-plans") # works for session as well session = boto3.session.Session(region="us-west-1") session_client: autoscaling_plans.AutoScalingPlansClient = session.client("autoscaling-plans") # Paginators need type annotation on creation describe_scaling_plan_resources_paginator: autoscaling_plans.DescribeScalingPlanResourcesPaginator = client.get_paginator("describe_scaling_plan_resources") describe_scaling_plans_paginator: autoscaling_plans.DescribeScalingPlansPaginator = client.get_paginator("describe_scaling_plans") ``` ## How it works Fully automated [builder](https://github.com/vemel/mypy_boto3_builder) 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: - All available `boto3` services are covered. - Each public class and method of every `boto3` service gets valid type annotations extracted from the documentation (blame `botocore` docs if types are incorrect). - Type annotations include up-to-date documentation. - Link to documentation is provided for every method. - Code is processed by [black](https://github.com/psf/black) for readability.