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delete_tags 

delete_tags(
    resource_arn: __string,
    *,
    config_overrides: Optional[mqClientConfig] = None,
    tag_keys: Optional[__listOf__string] = None,
) -> None

Removes a tag from a resource.

Parameters:

  • resource_arn (__string) –

    The Amazon Resource Name (ARN) of the resource tag.

  • tag_keys (Optional[__listOf__string], default: None ) –

    An array of tag keys to delete

Raises:

Source code in docs_src/capo_mq/_services/mq.py 
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def delete_tags(
    self,
    resource_arn: "capo_mq.types.__string.__string",
    *,
    config_overrides: Optional[mqClientConfig] = None,
    tag_keys: Optional["capo_mq.types.__list_of__string.__listOf__string"] = None,
) -> None:
    """<p>Removes a tag from a resource.</p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) of the resource tag.</p>
        tag_keys: <p>An array of tag keys to delete</p>

    Raises:
        capo_mq.errors.bad_request_exception.BadRequestException: <p>Returns information about an error.</p>
        capo_mq.errors.forbidden_exception.ForbiddenException: <p>Returns information about an error.</p>
        capo_mq.errors.internal_server_error_exception.InternalServerErrorException: <p>Returns information about an error.</p>
        capo_mq.errors.not_found_exception.NotFoundException: <p>Returns information about an error.</p>
        capo_mq.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_mq.types.delete_tags_request.DeleteTagsRequest]",
    ) -> OperationResponse[None]:
        import capo_mq._operations.mq.delete_tags

        output, http_response = capo_mq._operations.mq.delete_tags.delete_tags(
            req.options, req.input
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DeleteTags")
    )
    input_: capo_mq.types.delete_tags_request.DeleteTagsRequest = {
        "resource_arn": resource_arn
    }
    if tag_keys is not None:
        input_["tag_keys"] = tag_keys

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output