{
            "detail": [
                {
                    "type": "missing",
                    "loc": ["header", "save_data"],
                    "msg": "Field required",
                    "input": {
                        "host": "testserver",
                        "traceparent": "123",
                        "x_tag": [],
                        "accept": "*/*",

    class ConstructorTests {

        @ParameterizedTest
        @DisplayName("Should mask input values with 0xFF correctly")
        @ValueSource(ints = { 0, 1, 127, 128, 255, 256, -1, -128, -255, -256, 32767, -32768, 65535, 65536 })
        void testConstructorMasking(int inputValue) {
            // Given: An input value
            // When: Creating NdrShort with that value
            NdrShort ndrShort = new NdrShort(inputValue);

/**
 * MimeTypeHelperImpl is a helper class that detects the MIME type of a given input stream or filename.
 * It uses the Apache Tika library to detect the MIME type.
 *
 * <p>
 * This class provides methods to:
 * </p>
 * <ul>
 *   <li>Detect the MIME type based on the input stream and filename.</li>
 *   <li>Normalize the filename to handle special characters.</li>

TF_Operation* RandomUniform(TF_Operation* shape, TF_DataType dtype,
                            TF_Graph* graph, TF_Status* s);

// Split `input` along the first dimension into 3 tensors
TF_Operation* Split3(TF_Operation* input, TF_Graph* graph, TF_Status* s,
                     const char* name = "split3");

bool IsPlaceholder(const tensorflow::NodeDef& node_def);

    /**
     * Opens an input stream reading the file (read only)
     *
     * @param flags
     *            open flags
     * @param access
     *            desired access flags
     * @param sharing
     *            flags indicating for which operations others may open the file (FILE_SHARING_*)
     * @return input stream, needs to be closed when finished

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


def test_openapi_schema(client: TestClient):

    List<Integer> list2 = newArrayList(4);

    List<List<Integer>> input = newArrayList(list1, list2);

    Iterable<Integer> result = Iterables.concat(input);
    assertEquals(asList(1, 4), newArrayList(result));

    // Now change the inputs and see result dynamically change as well

    list1.add(2);
    List<Integer> list3 = newArrayList(3);
    input.add(1, list3);

            final BiConsumer<ExtractData, InputStream> postFilter) {
        if (inputStream == null) {
            throw new CrawlerSystemException("Tika input stream is null. Cannot extract text from null input.");
        }

        final File tempFile;
        final boolean isByteStream = inputStream instanceof ByteArrayInputStream;
        if (isByteStream) {
            inputStream.mark(0); // ByteArrayInputStream

   * consistent hashing</a> for more information.
   */
  public static int consistentHash(long input, int buckets) {
    checkArgument(buckets > 0, "buckets must be positive: %s", buckets);
    LinearCongruentialGenerator generator = new LinearCongruentialGenerator(input);
    int candidate = 0;
    int next;

    // Jump from bucket to bucket until we go out of range
    while (true) {

            return teminated;
        }
    }

    /**
     * Thread that reads input stream data and buffers it for later retrieval.
     * Captures output from command execution with configurable line buffering.
     */
    protected static class InputStreamThread extends Thread {

        /** Buffered reader for input stream. */
        private BufferedReader br;

        /** List to store captured output lines. */