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Type annotations for boto3.DAX 1.14.0 service, generated by mypy-boto3-buider 2.0.4

Project description

mypy-boto3-dax

PyPI - mypy-boto3-dax PyPI - Python Version Docs

Type annotations for boto3.DAX 1.14.0 service compatible with mypy, VSCode, PyCharm and other tools.

Generated by mypy-boto3-buider 2.0.4.

More information can be found on boto3-stubs page.

How to use

Make sure you have mypy installed and activated in your IDE.

Install boto3-stubs for DAX service.

python -m pip install boto3-stubs[dax]

Use boto3 with mypy_boto3_dax in your project and enjoy type checking and auto-complete.

import boto3

from mypy_boto3_dax import DAXClient

# Now mypy can check if your code is valid.
client: DAXClient = boto3.client("dax")

# works for session as well
session = boto3.session.Session(region="us-west-1")
session_client: DAXClient = session.client("dax")



# Annotated paginators are included as well

import mypy_boto3_dax.paginator as dax_paginators

describe_clusters_paginator: dax_paginators.DescribeClustersPaginator = client.get_paginator("describe_clusters")
describe_default_parameters_paginator: dax_paginators.DescribeDefaultParametersPaginator = client.get_paginator("describe_default_parameters")
describe_events_paginator: dax_paginators.DescribeEventsPaginator = client.get_paginator("describe_events")
describe_parameter_groups_paginator: dax_paginators.DescribeParameterGroupsPaginator = client.get_paginator("describe_parameter_groups")
describe_parameters_paginator: dax_paginators.DescribeParametersPaginator = client.get_paginator("describe_parameters")
describe_subnet_groups_paginator: dax_paginators.DescribeSubnetGroupsPaginator = client.get_paginator("describe_subnet_groups")
list_tags_paginator: dax_paginators.ListTagsPaginator = client.get_paginator("list_tags")

Dynamic type annotations

mypy_boto3 command generates boto3.client/resource type annotations for mypy_boto3_dax and other installed services.

# 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
import boto3

# Type is discovered correctly by mypy and PyCharm
# VSCode still needs explicit type annotations
client = boto3.client("dax")

session_client = boto3.Session().client("dax")

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