() -> asListHtml(encodeId(form.path)));

        }
        saveInfo(messages -> messages.addSuccessUploadFileToStorage(GLOBAL, form.uploadFile.getFileName()));
        return redirectWith(getClass(), moreUrl("list/" + encodeId(form.path)));
    }

    @Execute
    @Secured({ ROLE, ROLE + VIEW })

    Convert any object to something that can be encoded in JSON.

    This is used internally by FastAPI to make sure anything you return can be
    encoded as JSON before it is sent to the client.

    You can also use it yourself, for example to convert objects before saving them
    in a database that supports only JSON.

    Read more about it in the
    [FastAPI docs for JSON Compatible Encoder](https://fastapi.tiangolo.com/tutorial/encoder/).

It receives an object, like a Pydantic model, and returns a JSON compatible version:

{* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *}

In this example, it would convert the Pydantic model to a `dict`, and the `datetime` to a `str`.

      super(message);
    }
  }

  /** Encodes the specified byte array, and returns the encoded {@code String}. */
  public String encode(byte[] bytes) {
    return encode(bytes, 0, bytes.length);
  }

  /**
   * Encodes the specified range of the specified byte array, and returns the encoded {@code
   * String}.
   */
  public final String encode(byte[] bytes, int off, int len) {

Вона приймає об'єкт, такий як Pydantic model, і повертає його версію, сумісну з JSON:

//// tab | Python 3.10+

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////

У цьому прикладі вона конвертує Pydantic model у `dict`, а `datetime` у `str`.

   */
  ReaderInputStream(Reader reader, CharsetEncoder encoder, int bufferSize) {
    this.reader = checkNotNull(reader);
    this.encoder = checkNotNull(encoder);
    checkArgument(bufferSize > 0, "bufferSize must be positive: %s", bufferSize);
    encoder.reset();

    charBuffer = CharBuffer.allocate(bufferSize);
    Java8Compatibility.flip(charBuffer);

    byteBuffer = ByteBuffer.allocate(bufferSize);
  }

   */
  ReaderInputStream(Reader reader, CharsetEncoder encoder, int bufferSize) {
    this.reader = checkNotNull(reader);
    this.encoder = checkNotNull(encoder);
    checkArgument(bufferSize > 0, "bufferSize must be positive: %s", bufferSize);
    encoder.reset();

    charBuffer = CharBuffer.allocate(bufferSize);
    Java8Compatibility.flip(charBuffer);

    byteBuffer = ByteBuffer.allocate(bufferSize);
  }

				ok = false
				continue
			}
			// Delete first shard and reconstruct...
			first := encoded[0]
			encoded[0] = nil
			failOnErr(e.DecodeDataBlocks(encoded))
			if a, b := first, encoded[0]; !bytes.Equal(a, b) {
				fmt.Fprintf(os.Stderr, "%v: error on self-test [d:%d,p:%d]: want %#v, got %#v\n", algo, conf[0], conf[1], hex.EncodeToString(a), hex.EncodeToString(b))

//// tab | Python 3.10+

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////

In diesem Beispiel wird das Pydantic-Modell in ein `dict`, und das `datetime`-Objekt in ein `str` konvertiert.

//// tab | Python 3.10+

```Python hl_lines="4  21"
{!> ../../docs_src/encoder/tutorial001_py310.py!}
```

////

//// tab | Python 3.6+

```Python hl_lines="5  22"
{!> ../../docs_src/encoder/tutorial001.py!}
```

////

В данном примере она преобразует Pydantic модель в `dict`, а `datetime` - в `str`.