# mypy-boto3-elb
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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")
```
PyPI 官网下载 | mypy-boto3-elb-1.14.8.0.tar.gz
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2022-01-28
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