{* ../../docs_src/body_nested_models/tutorial002_py310.py hl[12] *}

## Set types { #set-types }

But then we think about it, and realize that tags shouldn't repeat, they would probably be unique strings.

And Python has a special data type for sets of unique items, the `set`.

Then we can declare `tags` as a set of strings:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

## Типы множеств { #set-types }

Но затем мы подумали и поняли, что теги не должны повторяться, вероятно, это должны быть уникальные строки.

И в Python есть специальный тип данных для множеств уникальных элементов — `set`.

Тогда мы можем объявить поле `tags` как множество строк:

{* ../../docs_src/body_nested_models/tutorial003_py310.py hl[12] *}

		GetUser("ScopeUser3", Config{}),
	}

	DB.Create(&users)

	var users1, users2, users3 []User
	DB.Scopes(NameIn1And2).Find(&users1)
	if len(users1) != 2 {
		t.Errorf("Should found two users's name in 1, 2, but got %v", len(users1))
	}

	DB.Scopes(NameIn1And2, NameIn2And3).Find(&users2)
	if len(users2) != 1 {
		t.Errorf("Should found one user's name is 2, but got %v", len(users2))
	}

    assertThat(set.headSet(3)).containsExactly(1, 2).inOrder();
    assertThat(set.headSet(4)).containsExactly(1, 2, 3).inOrder();
    assertThat(set.headSet(Integer.MAX_VALUE)).containsExactly(1, 2, 3).inOrder();
    assertThat(set.headSet(1, true)).containsExactly(1).inOrder();
    assertThat(set.headSet(2, true)).containsExactly(1, 2).inOrder();
    assertThat(set.headSet(3, true)).containsExactly(1, 2, 3).inOrder();

## What is Erasure Code?

Erasure code is a mathematical algorithm to reconstruct missing or corrupted data. MinIO uses Reed-Solomon code to shard objects into variable data and parity blocks. For example, in a 12 drive setup, an object can be sharded to a variable number of data and parity blocks across all the drives - ranging from six data and six parity blocks to ten data and two parity blocks.

    OutputStream out = Funnels.asOutputStream(sink);
    byte[] bytes = {1, 2, 3, 4};
    out.write(255);
    out.write(bytes);
    out.write(bytes, 1, 2);
    verify(sink).putByte((byte) 255);
    verify(sink).putBytes(bytes);
    verify(sink).putBytes(bytes, 1, 2);
  }

  public void testSerialization() {
    assertSame(
        Funnels.byteArrayFunnel(), SerializableTester.reserialize(Funnels.byteArrayFunnel()));

    response = client.post("/", json="bar")
    assert response.status_code == 200, response.text
    assert response.json() == "bar"

    response2 = client.post("/", json=[1, 2])
    assert response2.status_code == 200, response2.text
    assert response2.json() == [1, 2]


def test_propagates_pydantic2_model_config():
    app = FastAPI()

    class Missing:
        def __bool__(self):
            return False

                "value": 80
              }
            ]
          }
        },
        "overrides": []
      },
      "gridPos": {
        "h": 6,
        "w": 12,
        "x": 12,
        "y": 0
      },
      "id": 53,
      "options": {
        "displayMode": "basic",
        "maxVizHeight": 300,
        "minVizHeight": 10,
        "minVizWidth": 0,

    checkResult(skipNulls, iterable12, "1-2");
    checkResult(skipNulls, iterable123, "1-2-3");
    checkResult(J, UNDERREPORTING_SIZE_LIST, "1-2-3");
    checkResult(J, OVERREPORTING_SIZE_LIST, "1-2-3");
    checkResult(skipNulls, iterableNull1, "1");
    checkResult(skipNulls, iterable1Null, "1");
    checkResult(skipNulls, iterable1Null2, "1-2");
  }

  public void testUseForNull() {

## Listen als Felder { #list-fields }

Sie können ein Attribut als Kindtyp definieren, zum Beispiel eine Python-`list`.

{* ../../docs_src/body_nested_models/tutorial001_py310.py hl[12] *}

Das bewirkt, dass `tags` eine Liste ist, wenngleich es nichts über den Typ der Elemente der Liste aussagt.

## Listen mit Typ-Parametern als Felder { #list-fields-with-type-parameter }