Skip to main content

Type annotations for aiobotocore.EMRContainers 2.15.2 service generated with mypy-boto3-builder 8.1.2

Project description

types-aiobotocore-emr-containers

PyPI - types-aiobotocore-emr-containers PyPI - Python Version Docs PyPI - Downloads

boto3.typed

Type annotations for aiobotocore.EMRContainers 2.15.2 service compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.

Generated by mypy-boto3-builder 8.1.2.

More information can be found on types-aiobotocore page and in types-aiobotocore-emr-containers docs.

See how it helps to find and fix potential bugs:

boto3-stubs demo

How to install

From PyPI with pip

Install types-aiobotocore for EMRContainers service.

# install with aiobotocore type annotations
python -m pip install 'types-aiobotocore[emr-containers]'


# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'types-aiobotocore-lite[emr-containers]'


# standalone installation
python -m pip install types-aiobotocore-emr-containers

How to uninstall

python -m pip uninstall -y types-aiobotocore-emr-containers

Usage

VSCode

python -m pip install 'types-aiobotocore[emr-containers]'

Both type checking and code completion should now work. No explicit type annotations required, write your aiobotocore code as usual.

PyCharm

Install types-aiobotocore-lite[emr-containers] in your environment:

python -m pip install 'types-aiobotocore-lite[emr-containers]'`

Both type checking and code completion should now work. Explicit type annotations are required.

Use types-aiobotocore package instead for implicit type discovery.

Emacs

  • Install types-aiobotocore with services you use in your environment:
python -m pip install 'types-aiobotocore[emr-containers]'
(use-package lsp-pyright
  :ensure t
  :hook (python-mode . (lambda ()
                          (require 'lsp-pyright)
                          (lsp)))  ; or lsp-deferred
  :init (when (executable-find "python3")
          (setq lsp-pyright-python-executable-cmd "python3"))
  )
  • Make sure emacs uses the environment where you have installed types-aiobotocore

Type checking should now work. No explicit type annotations required, write your aiobotocore code as usual.

Sublime Text

  • Install types-aiobotocore[emr-containers] with services you use in your environment:
python -m pip install 'types-aiobotocore[emr-containers]'

Type checking should now work. No explicit type annotations required, write your aiobotocore code as usual.

Other IDEs

Not tested, but as long as your IDE supports mypy or pyright, everything should work.

mypy

  • Install mypy: python -m pip install mypy
  • Install types-aiobotocore[emr-containers] in your environment:
python -m pip install 'types-aiobotocore[emr-containers]'

Type checking should now work. No explicit type annotations required, write your aiobotocore code as usual.

pyright

  • Install pyright: npm i -g pyright
  • Install types-aiobotocore[emr-containers] in your environment:
python -m pip install 'types-aiobotocore[emr-containers]'

Optionally, you can install types-aiobotocore to typings directory.

Type checking should now work. No explicit type annotations required, write your aiobotocore code as usual.

Explicit type annotations

Client annotations

EMRContainersClient provides annotations for session.create_client("emr-containers").

from aiobotocore.session import get_session

from types_aiobotocore_emr_containers import EMRContainersClient

session = get_session()
async with session.create_client("emr-containers") as client:
    client: EMRContainersClient
    # now client usage is checked by mypy and IDE should provide code completion

Paginators annotations

types_aiobotocore_emr_containers.paginator module contains type annotations for all paginators.

from aiobotocore.session import get_session

from types_aiobotocore_emr_containers import EMRContainersClient
from types_aiobotocore_emr_containers.paginator import (
    ListJobRunsPaginator,
    ListJobTemplatesPaginator,
    ListManagedEndpointsPaginator,
    ListSecurityConfigurationsPaginator,
    ListVirtualClustersPaginator,
)

session = get_session()
async with session.create_client("emr-containers") as client:
    client: EMRContainersClient

    # Explicit type annotations are optional here
    # Types should be correctly discovered by mypy and IDEs
    list_job_runs_paginator: ListJobRunsPaginator = client.get_paginator("list_job_runs")
    list_job_templates_paginator: ListJobTemplatesPaginator = client.get_paginator(
        "list_job_templates"
    )
    list_managed_endpoints_paginator: ListManagedEndpointsPaginator = client.get_paginator(
        "list_managed_endpoints"
    )
    list_security_configurations_paginator: ListSecurityConfigurationsPaginator = (
        client.get_paginator("list_security_configurations")
    )
    list_virtual_clusters_paginator: ListVirtualClustersPaginator = client.get_paginator(
        "list_virtual_clusters"
    )

Literals

types_aiobotocore_emr_containers.literals module contains literals extracted from shapes that can be used in user code for type checking.

Full list of EMRContainers Literals can be found in docs.

from types_aiobotocore_emr_containers.literals import CertificateProviderTypeType


def check_value(value: CertificateProviderTypeType) -> bool: ...

Type definitions

types_aiobotocore_emr_containers.type_defs module contains structures and shapes assembled to typed dictionaries and unions for additional type checking.

Full list of EMRContainers TypeDefs can be found in docs.

from types_aiobotocore_emr_containers.type_defs import CancelJobRunRequestRequestTypeDef


def get_value() -> CancelJobRunRequestRequestTypeDef:
    return {...}

How it works

Fully automated mypy-boto3-builder carefully generates type annotations for each service, patiently waiting for aiobotocore updates. It delivers drop-in type annotations for you and makes sure that:

  • All available aiobotocore services are covered.
  • Each public class and method of every aiobotocore service gets valid type annotations extracted from botocore schemas.
  • Type annotations include up-to-date documentation.
  • Link to documentation is provided for every method.
  • Code is processed by ruff for readability.

What's new

Implemented features

  • Fully type annotated boto3, botocore, aiobotocore and aioboto3 libraries
  • mypy, pyright, VSCode, PyCharm, Sublime Text and Emacs compatibility
  • Client, ServiceResource, Resource, Waiter Paginator type annotations for each service
  • Generated TypeDefs for each service
  • Generated Literals for each service
  • Auto discovery of types for boto3.client and boto3.resource calls
  • Auto discovery of types for session.client and session.resource calls
  • Auto discovery of types for client.get_waiter and client.get_paginator calls
  • Auto discovery of types for ServiceResource and Resource collections
  • Auto discovery of types for aiobotocore.Session.create_client calls

Latest changes

Builder changelog can be found in Releases.

Versioning

types-aiobotocore-emr-containers version is the same as related aiobotocore version and follows PEP 440 format.

Thank you

Documentation

All services type annotations can be found in aiobotocore docs

Support and contributing

This package is auto-generated. Please reports any bugs or request new features in mypy-boto3-builder repository.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

types_aiobotocore_emr_containers-2.15.2.tar.gz (23.4 kB view details)

Uploaded Source

Built Distribution

File details

Details for the file types_aiobotocore_emr_containers-2.15.2.tar.gz.

File metadata

File hashes

Hashes for types_aiobotocore_emr_containers-2.15.2.tar.gz
Algorithm Hash digest
SHA256 c4d016da7e2c9134201f3ad28327e161d3d1163bc1ff2632a3bf2b4caaa873a7
MD5 1562450d35d488185dec66929a398718
BLAKE2b-256 a8b453ea2d26f7743e68c7cac5471faf8272b95a08ffc882c0436f8b2ba31bae

See more details on using hashes here.

File details

Details for the file types_aiobotocore_emr_containers-2.15.2-py3-none-any.whl.

File metadata

File hashes

Hashes for types_aiobotocore_emr_containers-2.15.2-py3-none-any.whl
Algorithm Hash digest
SHA256 db7d4f0917c11786fc6dd26e412aa251523a5758257997cdee57d033359884c8
MD5 b9408568005042b223754628c3474ca9
BLAKE2b-256 bc4a42d818339cfe38ffecebe14f412edff557619b1d0a2d8e0a04e92a9e9f76

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page