Skip to content

MTurk module#

Index > MTurk

Auto-generated documentation for MTurk type annotations stubs module mypy-boto3-mturk.

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 MTurk.

From PyPI with pip#

Install boto3-stubs for MTurk service.

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


# 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[mturk]'


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

How to uninstall#

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

Usage#

Code samples can be found in Examples.

MTurkClient#

Type annotations and code completion for boto3.client("mturk") as MTurkClient boto3 documentation

# MTurkClient usage example

from boto3.session import Session

from mypy_boto3_mturk.client import MTurkClient

def get_client() -> MTurkClient:
    return Session().client("mturk")

Paginators#

Type annotations and code completion for paginators from boto3.client("mturk").get_paginator("...").

# ListAssignmentsForHITPaginator usage example

from boto3.session import Session

from mypy_boto3_mturk.paginator import ListAssignmentsForHITPaginator

def get_list_assignments_for_hit_paginator() -> ListAssignmentsForHITPaginator:
    return Session().client("mturk").get_paginator("list_assignments_for_hit"))

Literals#

Type annotations for literals used in methods and schema.

# AssignmentStatusType usage example

from mypy_boto3_mturk.literals import AssignmentStatusType

def get_value() -> AssignmentStatusType:
    return "Approved"

Type definitions#

Type annotations for type definitions used in methods and schema.