"loc": ["body", "grant_type"],
                "msg": "Field required",
                "input": None,
            },
            {
                "type": "missing",
                "loc": ["body", "username"],
                "msg": "Field required",
                "input": None,
            },
            {
                "type": "missing",
                "loc": ["body", "password"],

        assertEquals(0, exception.getErrorCode(), "Error code should be 0 for message and cause constructor.");
        assertEquals(message, exception.getMessage(), "Message should match the input.");
        assertEquals(cause, exception.getCause(), "Cause should match the input.");
        assertEquals(cause, exception.getRootCause(), "getRootCause() should return the same cause as getCause().");
    }

    /**
     * Test getErrorCode() method.
     */

  @Override
  public boolean readBoolean() throws IOException {
    return readUnsignedByte() != 0;
  }

  /**
   * Reads a byte from the input stream checking that the end of file (EOF) has not been
   * encountered.
   *
   * @return byte read from input
   * @throws IOException if an error is encountered while reading
   * @throws EOFException if the end of file (EOF) is encountered.
   */

                "type": "missing",
                "loc": ["body", "name"],
                "msg": "Field required",
                "input": {},
            },
            {
                "type": "missing",
                "loc": ["body", "price"],
                "msg": "Field required",
                "input": {},
            },
        ]
    }


def test_openapi_schema(client: TestClient):

                message.appendChild(content)
                messages.appendChild(message)
            };
            function sendMessage(event) {
                var input = document.getElementById("messageText")
                ws.send(input.value)
                input.value = ''
                event.preventDefault()
            }
        </script>
    </body>
</html>
"""


@app.get("/")
async def get():

		errors[fileline] = line
	}

	// Reconstruct expected errors by independently "parsing" the input.
	data, err := os.ReadFile(input)
	if err != nil {
		t.Error(err)
		return
	}
	lineno := 0
	lines := strings.Split(string(data), "\n")
	for _, line := range lines {
		lineno++

		fileline := fmt.Sprintf("%s:%d", input, lineno)
		if m := errRE.FindStringSubmatch(line); m != nil {
			all := m[1]

   * input}.
   *
   * @return the number of bytes written
   * @throws IOException if an I/O occurs while reading from {@code input} or writing to this sink
   */
  @CanIgnoreReturnValue
  public long writeFrom(InputStream input) throws IOException {
    checkNotNull(input);

    try (OutputStream out = openStream()) {

</div>

### Modèle pour l'entrée et la sortie dans les documents { #model-for-input-and-output-in-docs }

Et si vous consultez tous les schémas disponibles (schémas JSON) dans OpenAPI, vous verrez qu'il y en a deux, un `Item-Input` et un `Item-Output`.

Pour `Item-Input`, `description` n'est **pas requis**, il n'a pas d'astérisque rouge.

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:2,12:16,29,38:41] hl[16] *}

## Pydantic `bytes` for Input and Output Data { #pydantic-bytes-for-input-and-output-data }

And of course, you can use the same model configured to use base64 to handle both input (*validate*) with `val_json_bytes` and output (*serialize*) with `ser_json_bytes` when receiving and sending JSON data.

namespace tensorflow {
namespace gradients {

/* Returns numerical grad inside `dtheta_approx` given `forward` model and
 * parameter specified by `input_index`.
 *
 * I.e. if y = <output of the forward model> and w = inputs[input_index],
 * this will calculate dy/dw numerically.
 *
 * `use_function` indicates whether to use graph mode(true) or eager(false).
 *
 * `numerical_grad` is the pointer to the AbstractTensorHandle* which will