FileRenameInformation2 info = new FileRenameInformation2(unicodeFileName, false);

        byte[] buffer = new byte[200];
        int bytesWritten = info.encode(buffer, 0);

        // Verify the encoded data
        int nameLength = SMBUtil.readInt4(buffer, 16);
        byte[] nameBytes = new byte[nameLength];
        System.arraycopy(buffer, 20, nameBytes, 0, nameLength);

## Importar `BaseModel` de Pydantic { #import-pydantics-basemodel }

Primero, necesitas importar `BaseModel` de `pydantic`:

{* ../../docs_src/body/tutorial001_py310.py hl[2] *}

## Crea tu modelo de datos { #create-your-data-model }

Luego, declaras tu modelo de datos como una clase que hereda de `BaseModel`.

Usa tipos estándar de Python para todos los atributos:

{* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}

		return
	}
	if cap(b) >= minBufferSize && cap(b) < biggerBufMin {
		internalByteBuffer.Put(&b)
		return
	}
}

// readAllInto reads from r and appends to b until an error or EOF and returns the data it read.
// A successful call returns err == nil, not err == EOF. Because readAllInto is
// defined to read from src until EOF, it does not treat an EOF from Read
// as an error to be reported.

  boolean setCount(@ParametricNullness E element, int oldCount, int newCount);

  // Views

  /**
   * Returns the set of distinct elements contained in this multiset. The element set is backed by
   * the same data as the multiset, so any change to either is immediately reflected in the other.
   * The order of the elements in the element set is unspecified.
   *

)

// Value represents a value of restricted type reduced from an
// expression represented by an ASTNode. Only one of the fields is
// non-nil.
//
// In cases where we are fetching data from a data source (like csv),
// the type may not be determined yet. In these cases, a byte-slice is
// used.
type Value struct {
	value any
}

// Missing is used to indicate a non-existing value.
type Missing struct{}

        SMBUtil.writeInt2(80 - 64, buffer, offset + 2); // Buffer offset (relative to header)
        SMBUtil.writeInt4(50, buffer, offset + 4); // Total length of notification data

        // Write notification data at buffer offset 80
        int notifyOffset = 80;
        SMBUtil.writeInt4(0, buffer, notifyOffset); // NextEntryOffset (0 = last entry)

                            separate_input_output_schemas=separate_input_output_schemas,
                        )
                        item_schema["required"] = ["data"]
                        item_schema["properties"]["data"] = {
                            "type": "string",
                            "contentMediaType": "application/json",
                            "contentSchema": content_schema,

* `id`
* `name`
* `age`
* `secret_name`

{* ../../docs_src/sql_databases/tutorial002_an_py310.py ln[7:14] hl[12:14] *}

#### `HeroPublic` - 公開用データモデル { #heropublic-the-public-data-model }

次に、API のクライアントに返す `HeroPublic` モデルを作ります。

これは `HeroBase` と同じフィールドを持つため、`secret_name` は含みません。

これでヒーローの正体は守られます！🥷

    }
  }

  // This is needed when resolving types against a context with wildcards
  // For example:
  // class Holder<T> {
  //   void set(T data) {...}
  // }
  // Holder<List<?>> should *not* resolve the set() method to set(List<?> data).
  // Instead, it should create a capture of the wildcard so that set() rejects any List<T>.
  private static class WildcardCapturer {

		}()

		block := newMetacacheWriter(buf, 1<<20)
		defer block.Close()
		finishBlock := func() {
			if err := block.Close(); err != nil {
				w.streamErr = err
				return
			}
			current.data = buf.Bytes()
			w.streamErr = nextBlock(&current)
			// Prepare for next
			current.n++
			buf.Reset()
			block.Reset(buf)
			current.First = ""
		}
		for o := range in {