}
    return ~crc;
  }

  /**
   * Verifies that the crc of an array of byte data matches the expected value.
   *
   * @param expectedCrc the expected crc value.
   * @param data the data to run the checksum on.
   */
  private static void assertCrc(int expectedCrc, byte[] data) {
    int actualCrc = Hashing.crc32c().hashBytes(data).asInt();
    assertEquals(

 * interface easier to implement for certain types of data sources.
 *
 * <p>{@code Iterator} requires its implementations to support querying the end-of-data status
 * without changing the iterator's state, using the {@link #hasNext} method. But many data sources,
 * such as {@link java.io.Reader#read()}, do not expose this information; the only way to discover
 * whether there is any data left is by trying to retrieve it. These types of data sources are

            }

            final byte[] data = accessResultData.getData();
            if (data == null) {
                return null;
            }
            final String encoding = accessResultData.getEncoding();
            try {
                return new String(data, encoding == null ? Constants.UTF_8 : encoding);
            } catch (final UnsupportedEncodingException e) {

            ],
            "body": {"title": "towel", "size": "XL"},
        }
    )


def test_post():
    data = {"title": "towel", "size": 5}
    response = client.post("/items/", json=data)
    assert response.status_code == 200, response.text
    assert response.json() == data


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text

	}
}

func messWith(fileName string, corrupter func(b []byte)) (r io.ReaderAt, size int64) {
	data, err := os.ReadFile(filepath.Join("testdata", fileName))
	if err != nil {
		panic("Error reading " + fileName + ": " + err.Error())
	}
	corrupter(data)
	return bytes.NewReader(data), int64(len(data))
}

func returnCorruptCRC32Zip() (r io.ReaderAt, size int64) {

                                    <c:if test="${!running and !systemJobId}">
                                        <button type="button" class="btn btn-danger" name="delete"
                                                data-toggle="modal" data-target="#confirmToDelete"
                                                value="<la:message key="labels.crud_button_delete" />">
                                            <em class="fa fa-trash">

data/folder/file.html テスト data/file.txt テキスト...

							if sdat, err := sect.Data(); err == nil {
								data := sdat[val-sect.Addr:]
								ints = make([]int64, len(data)/8)
								for i := range ints {
									ints[i] = int64(bo.Uint64(data[i*8:]))
								}
							}
						}
					}
				case isDebugFloats(s.Name):
					// Found it. Now find data section.
					if i := int(s.Section); 0 <= i && i < len(f.Sections) {

test.tar data/folder/file.html テスト data/file.txt テキスト...

```Python hl_lines="1  14"
{!> ../../docs_src/body_nested_models/tutorial003.py!}
```

////

With this, even if you receive a request with duplicate data, it will be converted to a set of unique items.

And whenever you output that data, even if the source had duplicates, it will be output as a set of unique items.

And it will be annotated / documented accordingly too.

## Nested Models