Essa resposta requer a instalação do pacote `ujson`, com o comando `pip install ujson`, por exemplo.

///

/// warning | Aviso

`ujson` é menos cauteloso que a implementação nativa do Python na forma que os casos especiais são tratados

///

{* ../../docs_src/custom_response/tutorial001.py hl[2,7] *}

/// tip | Dica

É possível que `ORJSONResponse` seja uma alternativa mais rápida.

///

    checkNonnegative(expectedKeys, "expectedKeys");
    return new Builder<>(expectedKeys);
  }

  /**
   * A builder for creating immutable {@code ListMultimap} instances, especially {@code public
   * static final} multimaps ("constant multimaps"). Example:
   *
   * {@snippet :
   * static final Multimap<String, Integer> STRING_TO_INTEGER_MULTIMAP =

    checkNonnegative(expectedSize, "expectedSize");
    return new ImmutableList.Builder<>(expectedSize);
  }

  /**
   * A builder for creating immutable list instances, especially {@code public static final} lists
   * ("constant lists"). Example:
   *
   * {@snippet :
   * public static final ImmutableList<Color> GOOGLE_COLORS =
   *     new ImmutableList.Builder<Color>()

  @SuppressWarnings("unchecked")
  static final ImmutableMap<Object, Object> EMPTY =
      new RegularImmutableMap<>(null, new Object[0], 0);

  /*
   * This is an implementation of ImmutableMap optimized especially for Android, which does not like
   * objects per entry.  Instead we use an open-addressed hash table.  This design is basically
   * equivalent to RegularImmutableSet, save that instead of having a hash table containing the

    checkNonnegative(expectedKeys, "expectedKeys");
    return new Builder<>(expectedKeys);
  }

  /**
   * A builder for creating immutable {@code ListMultimap} instances, especially {@code public
   * static final} multimaps ("constant multimaps"). Example:
   *
   * {@snippet :
   * static final Multimap<String, Integer> STRING_TO_INTEGER_MULTIMAP =

   *   <li>The {@link Predicate} returned by this method catches {@link ClassCastException} and
   *       {@link NullPointerException}.
   *   <li>Code that chains multiple predicates together (especially negations) may be more readable
   *       using this method. For example, {@code not(in(target))} is generally more readable than
   *       {@code not(target::contains)}.

No teníamos una forma de **actualizar un héroe** en la versión anterior de la aplicación, pero ahora con **múltiples modelos**, podemos hacerlo. 🎉

* **Deep Learning**: Esse é um subcampo do Machine Learning, então, o mesmo se aplica. A diferença é que não há apenas uma grande planilha com números para multiplicar, mas um grande conjunto delas, e em muitos casos, você utiliza um processador especial para construir e/ou usar esses modelos.

### Concorrência + Paralelismo: Web + Machine learning

		})
	})
	assertEqualSQL(t, `SELECT * FROM users ORDER BY id DESC`, sql)
}

// assertEqualSQL for assert that the sql is equal, this method will ignore quote, and dialect specials.
func assertEqualSQL(t *testing.T, expected string, actually string) {
	t.Helper()

	// replace SQL quote, convert into postgresql like ""
	expected = replaceQuoteInSQL(expected)

{* ../../docs_src/query_params_str_validations/tutorial006c_an_py310.py hl[9] *}

/// tip | Consejo