labels.handler_script=Script
labels.data_crawling_button_create=Criar
labels.data_crawling_button_create_job=Criar novo trabalho
labels.wizard_title_configuration=Assistente de configuração
labels.wizard_start_title=Configuração rápida
labels.wizard_start_desc=Você pode criar facilmente uma configuração de rastreamento usando o assistente de configuração.
labels.wizard_start_button=Iniciar configuração
labels.wizard_button_cancel=Cancelar

labels.handlerScript=Script
labels.data_crawling_button_create=Crea
labels.data_crawling_button_create_job=Crea nuovo lavoro
labels.wizard_title_configuration=Configurazione guidata
labels.wizard_start_title=Configurazione rapida
labels.wizard_start_desc=È possibile creare facilmente una configurazione di scansione utilizzando la configurazione guidata.
labels.wizard_start_button=Avvia configurazione
labels.wizard_button_cancel=Annulla

labels.handler_script=Script
labels.data_crawling_button_create=Crear
labels.data_crawling_button_create_job=Crear nuevo trabajo
labels.wizard_title_configuration=Asistente de configuración
labels.wizard_start_title=Configuración rápida
labels.wizard_start_desc=Puede crear fácilmente una configuración de rastreo utilizando el asistente de configuración.
labels.wizard_start_button=Iniciar configuración
labels.wizard_button_cancel=Cancelar

Build And Host Fast Data Science Applications Using FastAPI - author: Navule Pavan Kumar Rao author_link: https://www.linkedin.com/in/navule/ link: https://www.tutlinks.com/deploy-fastapi-on-azure/ title: Deploy FastAPI on Azure App Service - author: Davide Fiocco author_link: https://github.com/davidefiocco link: https://davidefiocco.github.io/streamlit-fastapi-ml-serving/ title: Machine learning model serving in Python using FastAPI and streamlit - author: Netflix author_link: https://netflixtechblog.com/...

  auto* api_def_buf =
      TF_ApiDefMapGet(api_def_map, op_name.c_str(), op_name.size(), status);
  EXPECT_EQ(TF_OK, TF_GetCode(status)) << TF_Message(status);
  TF_DeleteStatus(status);

  tensorflow::ApiDef api_def;
  EXPECT_TRUE(api_def.ParseFromArray(api_def_buf->data, api_def_buf->length));
  EXPECT_EQ(op_name, api_def.graph_op_name());
  EXPECT_EQ(R"doc(Used to test C API)doc", api_def.summary());

that?' she thought.  `I must be growing small again.'  She got up
and went to the table to measure herself by it, and found that,
as nearly as she could guess, she was now about two feet high,
and was going on shrinking rapidly:  she soon found out that the
cause of this was the fan she was holding, and she dropped it
hastily, just in time to avoid shrinking away altogether.

`That WAS a narrow escape!' said Alice, a good deal frightened at

// storage class. When PostObjectRestore API is called, a temporary copy of the object
// is restored locally to the bucket on source cluster until the restore expiry date.
// The copy that was transitioned continues to reside in the transitioned tier.
func (er erasureObjects) RestoreTransitionedObject(ctx context.Context, bucket, object string, opts ObjectOptions) error {
	return er.restoreTransitionedObject(ctx, bucket, object, opts)
}

- Resolves a performance regression in default 1.31+ configurations, related to the ConsistentListFromCache feature, where rapid create / update API requests across different namespaces encounter increased latency. ([#130156](https://github.com/kubernetes/kubernetes/pull/130156), [@AwesomePatrol](https://github.com/AwesomePatrol)) [SIG API Machinery]

- Resolved a performance regression in default 1.31+ configurations, related to the `ConsistentListFromCache` feature, where rapid create/update API requests across different namespaces encounter increased latency. ([#130113](https://github.com/kubernetes/kubernetes/pull/130113), [@AwesomePatrol](https://github.com/AwesomePatrol))

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