Examples
Index > ElasticInference > Examples
Auto-generated documentation for ElasticInference type annotations stubs module types-aiobotocore-elastic-inference.
Client
Implicit type annotations
Can be used with types-aioboto3[elastic-inference]
package installed.
Write your ElasticInference
code as usual,
type checking and code completion should work out of the box.
Client usage example
from aioboto3.session import Session
session = Session()
async with session.client("elastic-inference") as client: # (1)
result = await client.describe_accelerator_offerings() # (2)
- client: ElasticInferenceClient
- result: DescribeAcceleratorOfferingsResponseTypeDef
Paginator usage example
from aioboto3.session import Session
session = Session()
async with session.client("elastic-inference") as client: # (1)
paginator = client.get_paginator("describe_accelerators") # (2)
async for item in paginator.paginate(...):
print(item) # (3)
- client: ElasticInferenceClient
- paginator: DescribeAcceleratorsPaginator
- item: DescribeAcceleratorsResponseTypeDef
Explicit type annotations
With types-aioboto3-lite[elastic-inference]
or a standalone types_aiobotocore_elastic_inference
package, you have to explicitly specify
client: ElasticInferenceClient
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.
Client usage example
from aioboto3.session import Session
from types_aiobotocore_elastic_inference.client import ElasticInferenceClient
from types_aiobotocore_elastic_inference.type_defs import DescribeAcceleratorOfferingsResponseTypeDef
from types_aiobotocore_elastic_inference.type_defs import DescribeAcceleratorOfferingsRequestRequestTypeDef
session = Session()
client: ElasticInferenceClient
async with session.client("elastic-inference") as client: # (1)
kwargs: DescribeAcceleratorOfferingsRequestRequestTypeDef = {...} # (2)
result: DescribeAcceleratorOfferingsResponseTypeDef = await client.describe_accelerator_offerings(**kwargs) # (3)
Paginator usage example
from aioboto3.session import Session
from types_aiobotocore_elastic_inference.client import ElasticInferenceClient
from types_aiobotocore_elastic_inference.paginator import DescribeAcceleratorsPaginator
from types_aiobotocore_elastic_inference.type_defs import DescribeAcceleratorsResponseTypeDef
session = Session()
client: ElasticInferenceClient
async with session.client("elastic-inference") as client: # (1)
paginator: DescribeAcceleratorsPaginator = client.get_paginator("describe_accelerators") # (2)
async for item in paginator.paginate(...):
item: DescribeAcceleratorsResponseTypeDef
print(item) # (3)
- client: ElasticInferenceClient
- paginator: DescribeAcceleratorsPaginator
- item: DescribeAcceleratorsResponseTypeDef