PyPI 官网下载 | mypy-boto3-elb-1.14.8.0.tar.gz

# mypy-boto3-elb [](https://pypi.org/project/mypy-boto3-elb) [](https://pypi.org/project/mypy-boto3-elb) [](https://mypy-boto3-builder.readthedocs.io/) Type annotations for [boto3.ElasticLoadBalancing 1.14.8](https://boto3.amazonaws.com/v1/documentation/api/1.14.8/reference/services/elb.html#ElasticLoadBalancing) 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 2.2.0](https://github.com/vemel/mypy_boto3_builder). More information can be found on [boto3-stubs](https://pypi.org/project/boto3-stubs/) page. ## How to install Make sure you have [mypy](https://github.com/python/mypy) installed and activated in your IDE. Install `boto3-stubs` for `ElasticLoadBalancing` service. ```bash python -m pip install boto3-stubs[elb] ``` ## How to use ### Client annotations `ElasticLoadBalancingClient` provides annotations for `boto3.client("elb")`. ```python import boto3 from mypy_boto3_elb import ElasticLoadBalancingClient from mypy_boto3_elb.paginator import DescribeAccountLimitsPaginator, DescribeLoadBalancersPaginator from mypy_boto3_elb.type_defs import AccessLogTypeDef, ... from mypy_boto3_elb.waiter import ( AnyInstanceInServiceWaiter, InstanceDeregisteredWaiter, InstanceInServiceWaiter, ) client: ElasticLoadBalancingClient = boto3.client("elb") # now client usage is checked by mypy and IDE should provide code auto-complete # works for session as well session = boto3.session.Session(region="us-west-1") session_client: ElasticLoadBalancingClient = session.client("elb") ``` ### Paginators annotations `mypy_boto3_elb.paginator` module contains type annotations for all paginators. ```python client: ElasticLoadBalancingClient = boto3.client("elb") # Explicit type annotations are optional here # Type should be correctly discovered by mypy and IDEs # VSCode requires explicit type annotations describe_account_limits_paginator: DescribeAccountLimitsPaginator = client.get_paginator("describe_account_limits") describe_load_balancers_paginator: DescribeLoadBalancersPaginator = client.get_paginator("describe_load_balancers") ``` ### Waiters annotations `mypy_boto3_elb.waiter` module contains type annotations for all waiters. ```python client: ElasticLoadBalancingClient = boto3.client("elb") # Explicit type annotations are optional here # Type should be correctly discovered by mypy and IDEs # VSCode requires explicit type annotations any_instance_in_service_waiter: AnyInstanceInServiceWaiter = client.get_waiter("any_instance_in_service") instance_deregistered_waiter: InstanceDeregisteredWaiter = client.get_waiter("instance_deregistered") instance_in_service_waiter: InstanceInServiceWaiter = client.get_waiter("instance_in_service") ``` ### Typed dictionations `mypy_boto3_elb.type_defs` module contains structures and shapes assembled to typed dictionaries for additional type checking. ```python def get_structure() -> AccessLogTypeDef: return { ... } ``` ## Dynamic type annotations `mypy_boto3` command generates `boto3.client/resource` type annotations for `mypy_boto3_elb` and other installed services. ```bash # Run this command after you add or remove service packages python -m mypy_boto3 ``` Generated type annotations provide overloads for `boto3.client` and `boto3.resource`, `boto3.Session.client` and `boto3.Session.resource` functions, so explicit type annotations are not needed. - `mypy` supports function overloads as expected - `PyCharm` also supports function overloads, but consumes a lot of RAM, use carefully if you have many services installed - `VSCode` does not currently support function overloads, use explicit type annotations ```python # Type is discovered correctly by mypy and PyCharm # VSCode still needs explicit type annotations client = boto3.client("elb") session_client = boto3.Session().client("elb") ```