* this structure is never mutated, it provides a thread-safe view of the backing map.
 *
 * <p>The {@link MapIteratorCache} assumes ownership of the backing map, and cannot guarantee
 * correctness in the face of external mutations to the backing map. As such, it is <b>strongly</b>
 * recommended that the caller does not persist a reference to the backing map (unless the backing
 * map is immutable).
 *

    assertTrue(Thread.holdsLock(mutex));
    return super.isEmpty();
  }

  /*
   * We don't assert that the lock is held during calls to iterator(), stream(), and spliterator:
   * `Synchronized` doesn't guarantee that it will hold the mutex for those calls because callers
   * are responsible for taking the mutex themselves:

    /**
     * {@inheritDoc}
     *
     * @see jcifs.internal.SmbBasicFileInfo#getSize()
     */
    @Override
    public long getSize() {
        return getDataSize();
    }

    /**
     * Gets the granted access rights.
     *
     * @return the grantedAccess
     */
    public final int getGrantedAccess() {
        return this.grantedAccess;
    }

    /**
     * Gets the file attributes.
     *

      on behalf of whom a Contribution has been received by Licensor and
      subsequently incorporated within the Work.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      copyright license to reproduce, prepare Derivative Works of,

      PlatformVersion.majorVersion > 11 -> {
        assertThat(s.enabledProtocols.toList()).containsExactly(
          "TLSv1.3",
          "TLSv1.2",
        )
      }

      // Not much we can guarantee on JDK 11.
      PlatformVersion.majorVersion == 11 -> {
        assertThat(s.enabledProtocols.toList()).contains(
          "TLSv1.2",
        )
      }

      // JDK 8 291 removed older versions

Auch wenn im obigen Code Pydantic nicht explizit vorkommt, verwendet FastAPI Pydantic, um diese Standard-Datenklassen in Pydantics eigene Variante von Datenklassen zu konvertieren.

Und natürlich wird das gleiche unterstützt:

* Datenvalidierung
* Datenserialisierung
* Datendokumentation, usw.

// license that can be found in the LICENSE file.

// This input was created by taking the instruction productions in
// the old assembler's (6a's) grammar and hand-writing complete
// instructions for each rule, to guarantee we cover the same space.

#include "../../../../../runtime/textflag.h"

TEXT	foo(SB), DUPOK|NOSPLIT, $0

// LTYPE1 nonrem	{ outcode($1, &$2); }
	NEGQ	R11
	NEGQ	4(R11)
	NEGQ	foo+4(SB)

/// danger | Cuidado

Para manter as coisas simples, aqui nós estamos apenas adicionando os escopos recebidos diretamente ao token.

Porém em sua aplicação, por segurança, você deveria garantir que você apenas adiciona os escopos que o usuário possui permissão de fato, ou aqueles que você predefiniu.

///

{* ../../docs_src/security/tutorial005_an_py310.py hl[157] *}

        table.put(row, column, cell);
      } else {
        oldCell.merge(value, merger);
      }
    }

    /*
     * While the current implementation returns `this`, that's not something we mean to guarantee.
     * Anyway, the purpose of this method is to implement a BinaryOperator combiner for a Collector,
     * so its return value will get used naturally.
     */
    @SuppressWarnings("CanIgnoreReturnValueSuggester")

/// info | Informação

Observe que o `TestClient` recebe dados que podem ser convertidos para JSON, não para modelos Pydantic.

Se você tiver um modelo Pydantic em seu teste e quiser enviar seus dados para o aplicativo durante o teste, poderá usar o `jsonable_encoder` descrito em [Codificador compatível com JSON](encoder.md).

///

## Execute-o { #run-it }

Depois disso, você só precisa instalar o `pytest`.