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>

    /**
     * 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

Therefore, if you run a `tf.train.Server` in your network, anybody with access
to the network can execute arbitrary code with the privileges of the user
running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate

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


def test_openapi_schema(client: TestClient):

            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

            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. */

            assertEquals("Named pipes are only valid on IPC$", ex.getMessage());
        }

        @Test
        @DisplayName("Null context throws NPE (invalid input)")
        void nullContextThrows() {
            assertThrows(NullPointerException.class, () -> new SmbNamedPipe("smb://server/IPC$/foo", 0, null));
        }

        @Test

    assert response.status_code == 422, response.text
    assert response.json() == {
        "detail": [
            {
                "loc": ["path", "item_id"],
                "input": "invalid_id",
                "msg": "Input should be a valid integer, unable to parse string as an integer",
                "type": "int_parsing",
            }
        ]
    }


def test_openapi_schema(client: TestClient):

 * comparator. "Top" can mean the greatest or the lowest elements, specified in the factory used to
 * create the {@code TopKSelector} instance.
 *
 * <p>If your input data is available as an {@link Iterable} or {@link Iterator}, prefer {@link
 * Ordering#leastOf(Iterable, int)}, which provides the same implementation with an interface
 * tailored to that use case.
 *