mypy-boto3-sagemaker 1.12.18.0

Type annotations for boto3.SageMaker 1.12.18 service, generated by mypy-boto3-buider 1.0.5

mypy-boto3-sagemaker

Type annotations for boto3.SageMaker 1.12.18 service compatible with mypy, VSCode, PyCharm and other tools.

Generated by mypy-boto3-buider 1.0.5.

More information can be found on boto3-stubs page.

• mypy-boto3-sagemaker
  • How to use
    • Type checking
  • How it works

How to use

Type checking

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

Install boto3-stubs for SageMaker service.

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

Use boto3 with mypy_boto3 in your project and enjoy type checking and auto-complete.

import boto3

from mypy_boto3 import sagemaker
# alternative import if you do not want to install mypy_boto3 package
# import mypy_boto3_sagemaker as sagemaker

# Use this client as usual, now mypy can check if your code is valid.
# Check if your IDE supports function overloads,
# you probably do not need explicit type annotations
# client = boto3.client("sagemaker")
client: sagemaker.SageMakerClient = boto3.client("sagemaker")

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


# Waiters need type annotation on creation
endpoint_deleted_waiter: sagemaker.EndpointDeletedWaiter = client.get_waiter("endpoint_deleted")
endpoint_in_service_waiter: sagemaker.EndpointInServiceWaiter = client.get_waiter("endpoint_in_service")
notebook_instance_deleted_waiter: sagemaker.NotebookInstanceDeletedWaiter = client.get_waiter("notebook_instance_deleted")
notebook_instance_in_service_waiter: sagemaker.NotebookInstanceInServiceWaiter = client.get_waiter("notebook_instance_in_service")
notebook_instance_stopped_waiter: sagemaker.NotebookInstanceStoppedWaiter = client.get_waiter("notebook_instance_stopped")
processing_job_completed_or_stopped_waiter: sagemaker.ProcessingJobCompletedOrStoppedWaiter = client.get_waiter("processing_job_completed_or_stopped")
training_job_completed_or_stopped_waiter: sagemaker.TrainingJobCompletedOrStoppedWaiter = client.get_waiter("training_job_completed_or_stopped")
transform_job_completed_or_stopped_waiter: sagemaker.TransformJobCompletedOrStoppedWaiter = client.get_waiter("transform_job_completed_or_stopped")

# Paginators need type annotation on creation
list_algorithms_paginator: sagemaker.ListAlgorithmsPaginator = client.get_paginator("list_algorithms")
list_apps_paginator: sagemaker.ListAppsPaginator = client.get_paginator("list_apps")
list_auto_ml_jobs_paginator: sagemaker.ListAutoMLJobsPaginator = client.get_paginator("list_auto_ml_jobs")
list_candidates_for_auto_ml_job_paginator: sagemaker.ListCandidatesForAutoMLJobPaginator = client.get_paginator("list_candidates_for_auto_ml_job")
list_code_repositories_paginator: sagemaker.ListCodeRepositoriesPaginator = client.get_paginator("list_code_repositories")
list_compilation_jobs_paginator: sagemaker.ListCompilationJobsPaginator = client.get_paginator("list_compilation_jobs")
list_domains_paginator: sagemaker.ListDomainsPaginator = client.get_paginator("list_domains")
list_endpoint_configs_paginator: sagemaker.ListEndpointConfigsPaginator = client.get_paginator("list_endpoint_configs")
list_endpoints_paginator: sagemaker.ListEndpointsPaginator = client.get_paginator("list_endpoints")
list_experiments_paginator: sagemaker.ListExperimentsPaginator = client.get_paginator("list_experiments")
list_flow_definitions_paginator: sagemaker.ListFlowDefinitionsPaginator = client.get_paginator("list_flow_definitions")
list_human_task_uis_paginator: sagemaker.ListHumanTaskUisPaginator = client.get_paginator("list_human_task_uis")
list_hyper_parameter_tuning_jobs_paginator: sagemaker.ListHyperParameterTuningJobsPaginator = client.get_paginator("list_hyper_parameter_tuning_jobs")
list_labeling_jobs_paginator: sagemaker.ListLabelingJobsPaginator = client.get_paginator("list_labeling_jobs")
list_labeling_jobs_for_workteam_paginator: sagemaker.ListLabelingJobsForWorkteamPaginator = client.get_paginator("list_labeling_jobs_for_workteam")
list_model_packages_paginator: sagemaker.ListModelPackagesPaginator = client.get_paginator("list_model_packages")
list_models_paginator: sagemaker.ListModelsPaginator = client.get_paginator("list_models")
list_monitoring_executions_paginator: sagemaker.ListMonitoringExecutionsPaginator = client.get_paginator("list_monitoring_executions")
list_monitoring_schedules_paginator: sagemaker.ListMonitoringSchedulesPaginator = client.get_paginator("list_monitoring_schedules")
list_notebook_instance_lifecycle_configs_paginator: sagemaker.ListNotebookInstanceLifecycleConfigsPaginator = client.get_paginator("list_notebook_instance_lifecycle_configs")
list_notebook_instances_paginator: sagemaker.ListNotebookInstancesPaginator = client.get_paginator("list_notebook_instances")
list_processing_jobs_paginator: sagemaker.ListProcessingJobsPaginator = client.get_paginator("list_processing_jobs")
list_subscribed_workteams_paginator: sagemaker.ListSubscribedWorkteamsPaginator = client.get_paginator("list_subscribed_workteams")
list_tags_paginator: sagemaker.ListTagsPaginator = client.get_paginator("list_tags")
list_training_jobs_paginator: sagemaker.ListTrainingJobsPaginator = client.get_paginator("list_training_jobs")
list_training_jobs_for_hyper_parameter_tuning_job_paginator: sagemaker.ListTrainingJobsForHyperParameterTuningJobPaginator = client.get_paginator("list_training_jobs_for_hyper_parameter_tuning_job")
list_transform_jobs_paginator: sagemaker.ListTransformJobsPaginator = client.get_paginator("list_transform_jobs")
list_trial_components_paginator: sagemaker.ListTrialComponentsPaginator = client.get_paginator("list_trial_components")
list_trials_paginator: sagemaker.ListTrialsPaginator = client.get_paginator("list_trials")
list_user_profiles_paginator: sagemaker.ListUserProfilesPaginator = client.get_paginator("list_user_profiles")
list_workteams_paginator: sagemaker.ListWorkteamsPaginator = client.get_paginator("list_workteams")
search_paginator: sagemaker.SearchPaginator = client.get_paginator("search")

How it works

Fully automated builder carefully generates type annotations for each service, patiently waiting for boto3 updates. It delivers a 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 the documentation (blame botocore docs if types are incorrect).
• Type annotations include up-to-date documentation.
• Link to documentation is provided for every method.
• Code is processed by black for readability.