To add it to your *path operation*, declare it the same way you declared path and query parameters:

{* ../../docs_src/body/tutorial001_py310.py hl[16] *}

...and declare its type as the model you created, `Item`.

## Results { #results }

With just that Python type declaration, **FastAPI** will:

* Read the body of the request as JSON.
* Convert the corresponding types (if needed).
* Validate the data.

Pour ce faire, utilisez l'annotation de type Python standard [`typing.Union`](https://docs.python.org/3/library/typing.html#typing.Union) :

/// note | Remarque

        "properties" : {
          "createdBy" : {
            "type" : "keyword"
          },
          "createdTime" : {
            "type" : "long"
          },
          "generator" : {
            "type" : "keyword"
          },
          "path" : {
            "type" : "keyword"
          },
          "target" : {
            "type" : "keyword"
          },
          "thumbnail_id" : {

    /**
     * Test constructor with raw bytes.
     * Verifies that the AvPair type is correctly set and raw bytes are stored.
     */
    @Test
    void testConstructorWithRawBytes() {
        byte[] rawBytes = "TEST_TARGET_NAME".getBytes(StandardCharsets.UTF_16LE);
        AvTargetName avTargetName = new AvTargetName(rawBytes);

        // Verify the AvPair type is MsvAvTargetName

			}
			if tt.fullobj {
				chksm.Type |= ChecksumFullObject
			}

			// CRC64NVME is always full object
			if chksm.Type.Base().Is(ChecksumCRC64NVME) {
				chksm.Type |= ChecksumFullObject
			}

			// Prepare the checksum map with appropriate headers
			m := chksm.AsMap()
			m[xhttp.AmzChecksumAlgo] = chksm.Type.String() // Set the algorithm explicitly
			if chksm.Type.FullObjectRequested() {

  absl::Status status;
  if (reader_ != nullptr) {
    status = reader_->GetTensor(name, out_tensor);
  } else {
    tensorflow::DataType dtype;
    tensorflow::TensorShape shape;
    status = v2_reader_->LookupDtypeAndShape(name, &dtype, &shape);
    if (status.ok()) {
      out_tensor->reset(new Tensor(dtype, shape));
      status = v2_reader_->Lookup(name, out_tensor->get());
      if (!status.ok()) out_tensor->reset();
    }
  }

        assertNotNull(result.get("content-type"));
        assertEquals(0, result.get("content-type").size());
    }

    @Test
    public void testGetHeaderValuesWhenHeadersNull() {
        CurlResponse response = new CurlResponse();
        // Don't set any headers

        String[] values = response.getHeaderValues("Content-Type");

        assertNotNull(values);

			Optional:    true,
			Type:        "on|off",
		},
		config.HelpKV{
			Key:         Sleep,
			Description: `maximum sleep duration between objects to slow down heal operation` + defaultHelpPostfix(Sleep),
			Optional:    true,
			Type:        "duration",
		},
		config.HelpKV{
			Key:         IOCount,

        boolean hasFile = false;
        for (final ProtocolType type : values) {
            if (type == ProtocolType.WEB) {
                hasWeb = true;
            } else if (type == ProtocolType.FILE) {
                hasFile = true;
            }
        }

        assertTrue("Should have WEB protocol type", hasWeb);
        assertTrue("Should have FILE protocol type", hasFile);
    }

    // Test ProtocolType valueOf

 */
package org.codelibs.core.misc;

/**
 * A tuple of four values.
 *
 * @param <T1>
 *            The type of the first value
 * @param <T2>
 *            The type of the second value
 * @param <T3>
 *            The type of the third value
 * @param <T4>
 *            The type of the fourth value
 */
public class Tuple4<T1, T2, T3, T4> {

    /** The first value */
    protected T1 value1;