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Type annotations for boto3.SagemakerEdgeManager 1.17.98 service, generated by mypy-boto3-buider 4.18.3

Project description

mypy-boto3-sagemaker-edge

PyPI - mypy-boto3-sagemaker-edge PyPI - Python Version Docs PyPI - Downloads

boto3.typed

Type annotations for boto3.SagemakerEdgeManager 1.17.98 service compatible with VSCode, PyCharm, Emacs, Sublime Text, mypy, pyright and other tools.

Generated by mypy-boto3-buider 4.18.3.

More information can be found on boto3-stubs page and in mypy-boto3-sagemaker-edge docs

See how it helps to find and fix potential bugs:

boto3-stubs demo

How to install

Install boto3-stubs for SagemakerEdgeManager service.

python -m pip install boto3-stubs[sagemaker-edge]

Usage

VSCode

  • Install Python extension
  • Install Pylance extension
  • Set Pylance as your Python Language Server
  • Install boto-stubs[sagemaker-edge] in your environment: python -m pip install 'boto3-stubs[sagemaker-edge]'

Both type checking and auto-complete should work for SagemakerEdgeManager service. No explicit type annotations required, write your boto3 code as usual.

PyCharm

  • Install boto-stubs[sagemaker-edge] in your environment: python -m pip install 'boto3-stubs[sagemaker-edge]'

Both type checking and auto-complete should work for SagemakerEdgeManager service. No explicit type annotations required, write your boto3 code as usual. Auto-complete can be slow on big projects or if you have a lot of installed boto3-stubs submodules.

Other IDEs

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

mypy

  • Install mypy: python -m pip install mypy
  • Install boto-stubs[sagemaker-edge] in your environment: python -m pip install 'boto3-stubs[sagemaker-edge]'
  • Run mypy as usual

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

pyright

  • Install pyright: yarn global add pyright
  • Install boto-stubs[sagemaker-edge] in your environment: python -m pip install 'boto3-stubs[sagemaker-edge]'
  • Optionally, you can install boto3-stubs to typings folder.

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

Explicit type annotations

Client annotations

SagemakerEdgeManagerClient provides annotations for boto3.client("sagemaker-edge").

import boto3

from mypy_boto3_sagemaker_edge import SagemakerEdgeManagerClient

client: SagemakerEdgeManagerClient = boto3.client("sagemaker-edge")

# 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: SagemakerEdgeManagerClient = session.client("sagemaker-edge")

Typed dictionaries

mypy_boto3_sagemaker_edge.type_defs module contains structures and shapes assembled to typed dictionaries for additional type checking.

from mypy_boto3_sagemaker_edge.type_defs import (
    EdgeMetricTypeDef,
    GetDeviceRegistrationResultTypeDef,
    ModelTypeDef,
)

def get_structure() -> EdgeMetricTypeDef:
    return {
      ...
    }

Versioning

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

Documentation

All type annotations can be found in mypy-boto3-sagemaker-edge docs

Support and contributing

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

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