Python库 | mypy-boto3-cloudsearch-1.10.39.4.tar.gz

# mypy-boto3-cloudsearch Mypy-friendly auto-generated type annotations for `boto3 cloudsearch 1.10.39` service. More information can be found [here](https://github.com/vemel/mypy_boto3). - [mypy-boto3-cloudsearch](#mypy-boto3-cloudsearch) - [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 `cloudsearch` service. ```bash python -m pip install boto3-stubs[mypy-boto3-cloudsearch] ``` Use `boto3` with `mypy_boto3` in your project and enjoy type checking. ```python import boto3 from mypy_boto3 import cloudsearch # alternative import if you do not want to install mypy_boto3 package # import mypy_boto3_cloudsearch as cloudsearch # 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("cloudsearch") client: cloudsearch.CloudSearchClient = boto3.client("cloudsearch") # works for session as well session = boto3.session.Session(region="us-west-1") session_client: cloudsearch.CloudSearchClient = session.client("cloudsearch") ``` ## 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.