Skip to main content

Type annotations for boto3.Braket 1.35.0 service generated with mypy-boto3-builder 7.26.0

Project description

mypy-boto3-braket

PyPI - mypy-boto3-braket PyPI - Python Version Docs PyPI - Downloads

boto3.typed

Type annotations for boto3.Braket 1.35.0 service compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.

Generated by mypy-boto3-builder 7.26.0.

More information can be found on boto3-stubs page and in mypy-boto3-braket docs.

See how it helps to find and fix potential bugs:

boto3-stubs demo

How to install

VSCode extension

Add AWS Boto3 extension to your VSCode and run AWS boto3: Quick Start command.

Click Modify and select boto3 common and Braket.

From PyPI with pip

Install boto3-stubs for Braket service.

# install with boto3 type annotations
python -m pip install 'boto3-stubs[braket]'


# Lite version does not provide session.client/resource overloads
# it is more RAM-friendly, but requires explicit type annotations
python -m pip install 'boto3-stubs-lite[braket]'


# standalone installation
python -m pip install mypy-boto3-braket

How to uninstall

python -m pip uninstall -y mypy-boto3-braket

Usage

VSCode

python -m pip install 'boto3-stubs[braket]'

Both type checking and code completion should now work. No explicit type annotations required, write your boto3 code as usual.

PyCharm

Install boto3-stubs-lite[braket] in your environment:

python -m pip install 'boto3-stubs-lite[braket]'`

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

Use boto3-stubs package instead for implicit type discovery.

Emacs

  • Install boto3-stubs with services you use in your environment:
python -m pip install 'boto3-stubs[braket]'
(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 boto3-stubs

Type checking should now work. No explicit type annotations required, write your boto3 code as usual.

Sublime Text

  • Install boto3-stubs[braket] with services you use in your environment:
python -m pip install 'boto3-stubs[braket]'

Type checking should now work. No explicit type annotations required, write your boto3 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 boto3-stubs[braket] in your environment:
python -m pip install 'boto3-stubs[braket]'`

Type checking should now work. No explicit type annotations required, write your boto3 code as usual.

pyright

  • Install pyright: npm i -g pyright
  • Install boto3-stubs[braket] in your environment:
python -m pip install 'boto3-stubs[braket]'

Optionally, you can install boto3-stubs to typings folder.

Type checking should now work. No explicit type annotations required, write your boto3 code as usual.

Explicit type annotations

Client annotations

BraketClient provides annotations for boto3.client("braket").

from boto3.session import Session

from mypy_boto3_braket import BraketClient

client: BraketClient = Session().client("braket")

# now client usage is checked by mypy and IDE should provide code completion

Paginators annotations

mypy_boto3_braket.paginator module contains type annotations for all paginators.

from boto3.session import Session

from mypy_boto3_braket import BraketClient
from mypy_boto3_braket.paginator import (
    SearchDevicesPaginator,
    SearchJobsPaginator,
    SearchQuantumTasksPaginator,
)

client: BraketClient = Session().client("braket")

# Explicit type annotations are optional here
# Types should be correctly discovered by mypy and IDEs
search_devices_paginator: SearchDevicesPaginator = client.get_paginator("search_devices")
search_jobs_paginator: SearchJobsPaginator = client.get_paginator("search_jobs")
search_quantum_tasks_paginator: SearchQuantumTasksPaginator = client.get_paginator(
    "search_quantum_tasks"
)

Literals

mypy_boto3_braket.literals module contains literals extracted from shapes that can be used in user code for type checking.

Full list of Braket Literals can be found in docs.

from mypy_boto3_braket.literals import AssociationTypeType


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

Type definitions

mypy_boto3_braket.type_defs module contains structures and shapes assembled to typed dictionaries and unions for additional type checking.

Full list of Braket TypeDefs can be found in docs.

from mypy_boto3_braket.type_defs import ContainerImageTypeDef


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

How it works

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

  • All available boto3 services are covered.
  • Each public class and method of every boto3 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 black and isort 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

mypy-boto3-braket version is the same as related boto3 version and follows PEP 440 format.

Thank you

Documentation

All services type annotations can be found in boto3 docs

Support and contributing

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

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

mypy_boto3_braket-1.35.0.tar.gz (18.2 kB view details)

Uploaded Source

Built Distribution

mypy_boto3_braket-1.35.0-py3-none-any.whl (25.6 kB view details)

Uploaded Python 3

File details

Details for the file mypy_boto3_braket-1.35.0.tar.gz.

File metadata

  • Download URL: mypy_boto3_braket-1.35.0.tar.gz
  • Upload date:
  • Size: 18.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.4

File hashes

Hashes for mypy_boto3_braket-1.35.0.tar.gz
Algorithm Hash digest
SHA256 ea251540c5ec6a6e802f12fe83ba3f97728840b8e7065a77aa092e6ab3d6fd25
MD5 e950b6955db70635cfe242f32fae00ee
BLAKE2b-256 63200b747b98baaece6f459e52239c9b937010420337ee6e4673a048c0ac2baf

See more details on using hashes here.

File details

Details for the file mypy_boto3_braket-1.35.0-py3-none-any.whl.

File metadata

File hashes

Hashes for mypy_boto3_braket-1.35.0-py3-none-any.whl
Algorithm Hash digest
SHA256 53a169cc2f817c6ce1f8d68ae39aae183b9391872c4e31faad65ea0c87401f6e
MD5 50ea58f6ebf01e031ddfdce381418503
BLAKE2b-256 c7422223068780d12bcd9d6ccfe81365c2c6adf115b5c67f8b949184e6f76baf

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