Examples

Index > SageMakergeospatialcapabilities > Examples

Auto-generated documentation for SageMakergeospatialcapabilities type annotations stubs module types-aiobotocore-sagemaker-geospatial.

Client

Implicit type annotations

Can be used with types-aioboto3[sagemaker-geospatial] package installed.

Write your SageMakergeospatialcapabilities code as usual, type checking and code completion should work out of the box.

# SageMakergeospatialcapabilitiesClient usage example

from aioboto3.session import Session


session = Session()

async with session.client("sagemaker-geospatial") as client:  # (1)
    result = await client.export_earth_observation_job()  # (2)

1. client: SageMakergeospatialcapabilitiesClient
2. result: ExportEarthObservationJobOutputTypeDef

# ListEarthObservationJobsPaginator usage example

from aioboto3.session import Session


session = Session()

async with session.client("sagemaker-geospatial") as client:  # (1)
    paginator = client.get_paginator("list_earth_observation_jobs")  # (2)
    async for item in paginator.paginate(...):
        print(item)  # (3)

1. client: SageMakergeospatialcapabilitiesClient
2. paginator: ListEarthObservationJobsPaginator
3. item: ListEarthObservationJobOutputTypeDef

Explicit type annotations

With types-aioboto3-lite[sagemaker-geospatial] or a standalone types_aiobotocore_sagemaker_geospatial package, you have to explicitly specify client: SageMakergeospatialcapabilitiesClient type annotation.

All other type annotations are optional, as types should be discovered automatically. However, these type annotations can be helpful in your functions and methods.

# SageMakergeospatialcapabilitiesClient usage example with type annotations

from aioboto3.session import Session

from types_aiobotocore_sagemaker_geospatial.client import SageMakergeospatialcapabilitiesClient
from types_aiobotocore_sagemaker_geospatial.type_defs import ExportEarthObservationJobOutputTypeDef
from types_aiobotocore_sagemaker_geospatial.type_defs import ExportEarthObservationJobInputRequestTypeDef


session = Session()

client: SageMakergeospatialcapabilitiesClient
async with session.client("sagemaker-geospatial") as client:  # (1)
    kwargs: ExportEarthObservationJobInputRequestTypeDef = {...}  # (2)
    result: ExportEarthObservationJobOutputTypeDef = await client.export_earth_observation_job(**kwargs)  # (3)

1. client: SageMakergeospatialcapabilitiesClient
2. kwargs: ExportEarthObservationJobInputRequestTypeDef
3. result: ExportEarthObservationJobOutputTypeDef

# ListEarthObservationJobsPaginator usage example with type annotations

from aioboto3.session import Session

from types_aiobotocore_sagemaker_geospatial.client import SageMakergeospatialcapabilitiesClient
from types_aiobotocore_sagemaker_geospatial.paginator import ListEarthObservationJobsPaginator
from types_aiobotocore_sagemaker_geospatial.type_defs import ListEarthObservationJobOutputTypeDef


session = Session()

client: SageMakergeospatialcapabilitiesClient
async with session.client("sagemaker-geospatial") as client:  # (1)
    paginator: ListEarthObservationJobsPaginator = client.get_paginator("list_earth_observation_jobs")  # (2)
    async for item in paginator.paginate(...):
        item: ListEarthObservationJobOutputTypeDef
        print(item)  # (3)

1. client: SageMakergeospatialcapabilitiesClient
2. paginator: ListEarthObservationJobsPaginator
3. item: ListEarthObservationJobOutputTypeDef