}
        });
  }

  /**
   * Returns a splitter that uses the given fixed string as a separator. For example, {@code
   * Splitter.on(", ").split("foo, bar,baz")} returns an iterable containing {@code ["foo",
   * "bar,baz"]}.
   *
   * @param separator the literal, nonempty string to recognize as a separator
   * @return a splitter, with default settings, that recognizes that separator
   */

          }
        });
  }

  /**
   * Returns a splitter that uses the given fixed string as a separator. For example, {@code
   * Splitter.on(", ").split("foo, bar,baz")} returns an iterable containing {@code ["foo",
   * "bar,baz"]}.
   *
   * @param separator the literal, nonempty string to recognize as a separator
   * @return a splitter, with default settings, that recognizes that separator
   */

}
```

they will be included in the response.

#### Data with the same values as the defaults

If the data has the same values as the default ones, like the item with ID `baz`:

```Python hl_lines="3  5-6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,
    "tax": 10.5,
    "tags": []
}
```

#### Daten mit den gleichen Werten wie die Defaultwerte

Wenn Daten die gleichen Werte haben wie ihre Defaultwerte, wie etwa der Artikel mit der ID `baz`:

```Python hl_lines="3  5-6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,
    "tax": 10.5,
    "tags": []
}
```

    }

    /**
     * @throws Exception
     */
    public void testSetter() throws Exception {
        final BeanDesc bd = BeanDescFactory.getBeanDesc(Hoge.class);
        PropertyDesc pd = bd.getPropertyDesc("baz");
        assertThat(pd.isParameterized(), is(true));
        assertThat(pd.getKeyClassOfMap(), is(sameClass(String.class)));
        assertThat(pd.getValueClassOfMap(), is(sameClass(Date.class)));

    for (int i = 0; i < 10; i++) {
      builder.add("foo");
    }
    builder.add("bar");
    RegularImmutableSet<String> set = (RegularImmutableSet<String>) builder.build();
    builder.add("baz");
    assertTrue(set.elements != builder.contents);
  }

  public void testReuseBuilderReducingHashTableSizeWithPowerOfTwoTotalElements() {

Если данные содержат те же значения, которые являются для этих полей по умолчанию, но были установлены явно - как для элемента с ID = `baz`, ответ будет таким:

```Python hl_lines="3  5-6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,
    "tax": 10.5,
    "tags": []
}
```

Wliczając w to zewnętrzne biblioteki, również oparte o Pydantic, takie jak <abbr title="Mapowanie obiektowo-relacyjne. Po angielsku: Object-Relational Mapper">ORM</abbr>, <abbr title="Object-Document Mapper">ODM</abbr> dla baz danych.

Oznacza to, że w wielu przypadkach możesz przekazać ten sam obiekt, który otrzymasz z żądania **bezpośrednio do bazy danych**, ponieważ wszystko jest walidowane automatycznie.

          "::1",
          "13",
          "abc.12c",
          "foo-.com",
          "_bar.quux",
          "foo+bar.com",
          "foo!bar.com",
          ".foo.com",
          "..bar.com",
          "baz..com",
          "..quiffle.com",
          "fleeb.com..",
          ".",
          "..",
          "...",
          "aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa.com",

    "description": "The bartenders",
    "price": 62,
    "tax": 20.2
}
```

👫 🔜 🔌 📨.

#### 📊 ⏮️ 🎏 💲 🔢

🚥 📊 ✔️ 🎏 💲 🔢 🕐, 💖 🏬 ⏮️ 🆔 `baz`:

```Python hl_lines="3  5-6"
{
    "name": "Baz",
    "description": None,
    "price": 50.2,
    "tax": 10.5,
    "tags": []
}
```