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untag_resource 

untag_resource(
    resource_arn: str,
    tag_keys: StringList,
    *,
    config_overrides: Optional[MarketplaceDeploymentClientConfig] = None,
) -> UntagResourceResponse

Removes a tag or list of tags from a resource.

Parameters:

  • resource_arn (str) –

    The Amazon Resource Name (ARN) associated with the resource you want to remove the tag from.

  • tag_keys (StringList) –

    A list of key names of tags to be removed.

Raises:

Examples:

Removing tags from a deployment parameter The following example demonstrates removing two tags from a deployment parameter. For each, both the tag and the associated value are removed. There is no output from this API.

>>> client.untag_resource(resource_arn='arn:aws:aws-marketplace:us-east-1:123456789012:DeploymentParameter:catalogs/AWSMarketplace/products/product-1234/dp-uniqueidentifier', tag_keys=['FooKey', 'HelloKey'])
Source code in docs_src/capo_marketplace_deployment/_services/marketplace_deployment.py 
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def untag_resource(
    self,
    resource_arn: str,
    tag_keys: "capo_marketplace_deployment.types.string_list.StringList",
    *,
    config_overrides: Optional[MarketplaceDeploymentClientConfig] = None,
) -> "capo_marketplace_deployment.types.untag_resource_response.UntagResourceResponse":
    """<p>Removes a tag or list of tags from a resource.</p>

    Args:
        resource_arn: <p>The Amazon Resource Name (ARN) associated with the resource you want to remove the tag from.</p>
        tag_keys: <p>A list of key names of tags to be removed.</p>

    Raises:
        capo_marketplace_deployment.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_marketplace_deployment.errors.conflict_exception.ConflictException: <p>The request configuration has conflicts. For details, see the accompanying error message.</p>
        capo_marketplace_deployment.errors.internal_server_exception.InternalServerException: <p>There was an internal service exception.</p>
        capo_marketplace_deployment.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource wasn't found.</p>
        capo_marketplace_deployment.errors.throttling_exception.ThrottlingException: <p>Too many requests.</p>
        capo_marketplace_deployment.errors.validation_exception.ValidationException: <p>An error occurred during validation.</p>
        capo_marketplace_deployment.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        Removing tags from a deployment parameter
        The following example demonstrates removing two tags from a deployment parameter. For each, both the tag and the associated value are removed. There is no output from this API.

        >>> client.untag_resource(resource_arn='arn:aws:aws-marketplace:us-east-1:123456789012:DeploymentParameter:catalogs/AWSMarketplace/products/product-1234/dp-uniqueidentifier', tag_keys=['FooKey', 'HelloKey'])
    """

    def _handler(
        req: "OperationRequest[capo_marketplace_deployment.types.untag_resource_request.UntagResourceRequest]",
    ) -> OperationResponse[
        "capo_marketplace_deployment.types.untag_resource_response.UntagResourceResponse"
    ]:
        import capo_marketplace_deployment._operations.awsmp_deployment_parameters_service.untag_resource

        output, http_response = (
            capo_marketplace_deployment._operations.awsmp_deployment_parameters_service.untag_resource.untag_resource(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("UntagResource")
    )
    input_: capo_marketplace_deployment.types.untag_resource_request.UntagResourceRequest = {
        "resource_arn": resource_arn,
        "tag_keys": tag_keys,
    }

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