ElasticInference

Table of Contents

Client

class ElasticInference.Client

A low-level client representing Amazon Elastic Inference (Elastic Inference):

client = session.create_client('elastic-inference')

These are the available methods:

can_paginate(operation_name)

Check if an operation can be paginated.

Parameters
operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").
Returns
True if the operation can be paginated, False otherwise.
generate_presigned_url(ClientMethod, Params=None, ExpiresIn=3600, HttpMethod=None)

Generate a presigned url given a client, its method, and arguments

Parameters
  • ClientMethod (string) -- The client method to presign for
  • Params (dict) -- The parameters normally passed to ClientMethod.
  • ExpiresIn (int) -- The number of seconds the presigned url is valid for. By default it expires in an hour (3600 seconds)
  • HttpMethod (string) -- The http method to use on the generated url. By default, the http method is whatever is used in the method's model.
Returns

The presigned url

get_paginator(operation_name)

Create a paginator for an operation.

Parameters
operation_name (string) -- The operation name. This is the same name as the method name on the client. For example, if the method name is create_foo, and you'd normally invoke the operation as client.create_foo(**kwargs), if the create_foo operation can be paginated, you can use the call client.get_paginator("create_foo").
Raises OperationNotPageableError
Raised if the operation is not pageable. You can use the client.can_paginate method to check if an operation is pageable.
Return type
L{botocore.paginate.Paginator}
Returns
A paginator object.
get_waiter(waiter_name)

Returns an object that can wait for some condition.

Parameters
waiter_name (str) -- The name of the waiter to get. See the waiters section of the service docs for a list of available waiters.
Returns
The specified waiter object.
Return type
botocore.waiter.Waiter
list_tags_for_resource(**kwargs)

Returns all tags of an Elastic Inference Accelerator.

See also: AWS API Documentation

Request Syntax

response = client.list_tags_for_resource(
    resourceArn='string'
)
Parameters
resourceArn (string) -- [REQUIRED] The ARN of the Elastic Inference Accelerator to list the tags for.
Return type
dict
Returns
Response Syntax
{
    'tags': {
        'string': 'string'
    }
}

Response Structure

  • (dict) --
    • tags (dict) -- The tags of the Elastic Inference Accelerator.
      • (string) --
        • (string) --
tag_resource(**kwargs)

Adds the specified tag(s) to an Elastic Inference Accelerator.

See also: AWS API Documentation

Request Syntax

response = client.tag_resource(
    resourceArn='string',
    tags={
        'string': 'string'
    }
)
Parameters
  • resourceArn (string) -- [REQUIRED] The ARN of the Elastic Inference Accelerator to tag.
  • tags (dict) --

    [REQUIRED] The tags to add to the Elastic Inference Accelerator.

    • (string) --
      • (string) --
Return type

dict

Returns

Response Syntax

{}

Response Structure

  • (dict) --

untag_resource(**kwargs)

Removes the specified tag(s) from an Elastic Inference Accelerator.

See also: AWS API Documentation

Request Syntax

response = client.untag_resource(
    resourceArn='string',
    tagKeys=[
        'string',
    ]
)
Parameters
  • resourceArn (string) -- [REQUIRED] The ARN of the Elastic Inference Accelerator to untag.
  • tagKeys (list) --

    [REQUIRED] The list of tags to remove from the Elastic Inference Accelerator.

    • (string) --
Return type

dict

Returns

Response Syntax

{}

Response Structure

  • (dict) --

Paginators

The available paginators are: