errors.target_file_does_not_exist = Bestand {0} bestaat niet.
errors.failed_to_delete_file = Kan bestand {0} niet verwijderen.
errors.docid_not_found = Document-ID niet gevonden. Oorzaak: {0}
errors.document_not_found = URL van document-ID niet gevonden. Oorzaak: {0}
errors.not_load_from_server = Kan niet laden vanaf deze server. Oorzaak: {0}
errors.failed_to_start_job = Kan taak {0} niet starten.

 * Typically used when a document or resource is not available during crawling or indexing.
 */
public class ContentNotFoundException extends FessSystemException {

    private static final long serialVersionUID = 1L;

    /**
     * Constructs a new ContentNotFoundException with the specified parent URL and URL.
     *
     * @param parentUrl the URL of the parent document

            }
        }

        return attrs;
    }
}

/**
* HTML API: If current script has container(s) specified, initialise Termynal.
*/
if (document.currentScript.hasAttribute('data-termynal-container')) {
    const containers = document.currentScript.getAttribute('data-termynal-container');
    containers.split('|')
        .forEach(container => new Termynal(container))

# Using TensorFlow Securely

This document discusses the TensorFlow security model. It describes the security
risks to consider when using models, checkpoints or input data for training or
serving. We also provide guidelines on what constitutes a vulnerability in
TensorFlow and how to report them.

This document applies to other repositories in the TensorFlow organization,
covering security practices for the entirety of the TensorFlow ecosystem.

Default, _options)\n  }\n\n  // Public\n\n  toggle() {\n    if (document.fullscreenElement ||\n      document.mozFullScreenElement ||\n      document.webkitFullscreenElement ||\n      document.msFullscreenElement) {\n      this.windowed()\n    } else {\n      this.fullscreen()\n    }\n  }\n\n  toggleIcon() {\n    if (document.fullscreenElement ||\n      document.mozFullScreenElement ||\n      document.webkitFullscreenElement ||\n      document.msFullscreenElement) {\n      $(SELECTOR_ICON).removeClass...

,function(a){return b(a)}):"object"==typeof module&&module.exports?module.exports=b(require("jquery")):b(a.jQuery)}(this,function(a){!function(a){"use strict";a.formUtils.registerLoadedModule("html5");var b="placeholder"in document.createElement("INPUT"),c="options"in document.createElement("DATALIST"),d=!1,e=function(e){e.each(function(){var e=a(this),f=e.find("input,textarea,select"),g=!1;f.each(function(){var b=[],e=a(this),f=e.attr("required"),h={};switch(f&&b.push("required"),(e.attr("type"...

O **FastAPI** **extrairá** os dados para **cada campo** dos **parâmetros de consulta** presentes na requisição, e fornecerá o modelo Pydantic que você definiu.


## Verifique os Documentos

Você pode ver os parâmetros de consulta nos documentos de IU em `/docs`:

<div class="screenshot">
<img src="/img/tutorial/query-param-models/image01.png">
</div>

## Restrinja Parâmetros de Consulta Extras

///

**FastAPI** will do the automatic conversion from the request, so that the parameter `item` receives its specific content and the same for `user`.

It will perform the validation of the compound data, and will document it like that for the OpenAPI schema and automatic docs.

## Singular values in body { #singular-values-in-body }

      if (mediaType == null || !mediaType.subtype().equalsIgnoreCase("html")) {
        return;
      }

      Document document = Jsoup.parse(response.body().string(), url.toString());
      for (Element element : document.select("a[href]")) {
        String href = element.attr("href");
        HttpUrl link = response.request().url().resolve(href);

Se você pode escolher uma versão mais recente do Python para o seu projeto, você poderá aproveitar isso ao seu favor.

Em todos os documentos existem exemplos compatíveis com cada versão do Python (quando existem diferenças).