"properties": {
        "loc": {
            "title": "Location",
            "type": "array",
            "items": {"anyOf": [{"type": "string"}, {"type": "integer"}]},
        },
        "msg": {"title": "Message", "type": "string"},
        "type": {"title": "Error Type", "type": "string"},
        "input": {"title": "Input"},
        "ctx": {"title": "Context", "type": "object"},
    },
    "required": ["loc", "msg", "type"],
}

TF_CAPI_EXPORT extern void TFE_MonitoringStringGaugeCellSet(
    TFE_MonitoringStringGaugeCell* cell, const char* value);
// Retrieves the string value and saves it in the buffer.
TF_CAPI_EXPORT extern const void TFE_MonitoringStringGaugeCellValue(
    TFE_MonitoringStringGaugeCell* cell, TF_Buffer* buf);

// APIs for String Gauge without label.
typedef struct TFE_MonitoringStringGauge0 TFE_MonitoringStringGauge0;

    }

    /**
     * Writes thread dump information to the specified file.
     *
     * @param file the file path to write the thread dump to
     */
    public static void writeThreadDump(final String file) {
        try (final Writer writer = new BufferedWriter(new OutputStreamWriter(new FileOutputStream(file), Constants.CHARSET_UTF_8))) {
            processThreadDump(s -> {
                try {

    }

    @Test
    public void test_toString_containsFields() {
        final ScheduledJob scheduledJob = createTestScheduledJob();
        final JobLog jobLog = new JobLog(scheduledJob);

        final String str = jobLog.toString();
        assertTrue(str.contains("Test Job"));
        assertTrue(str.contains(Constants.RUNNING));
    }

    private ScheduledJob createTestScheduledJob() {

 */
class MockSocketHandler : SocketHandler {
  private val actions = LinkedBlockingQueue<Action>()
  private val results = LinkedBlockingQueue<FutureTask<Void>>()

  fun receiveRequest(expected: String) =
    apply {
      actions += { stream ->
        val actual = stream.source.readUtf8(expected.utf8Size())
        if (actual != expected) throw AssertionError("$actual != $expected")
      }
    }

        fail("mismatch at index " + i + ": " + reportContext(expectedList));
      }
    }
  }

  /**
   * Used to delay string formatting until actually required, as it otherwise shows up in the test
   * execution profile when running an extremely large numbers of tests.
   */
  private String reportContext(List<E> expected) {
    return Platform.format(
        "expected collection %s; actual collection %s", expected, this.collection);

     * @param encoding the encoding (must not be {@literal null} or empty)
     * @return a {@link Writer} to output to the stream
     */
    public static Writer create(final OutputStream os, final String encoding) {
        assertArgumentNotNull("os", os);
        assertArgumentNotEmpty("encoding", encoding);

        try {
            return new OutputStreamWriter(os, encoding);
        } catch (final IOException e) {

        assertEquals(0, result);
    }

    @Test
    void testToString() {
        // Test the toString method's output format
        NameQueryRequest request = new NameQueryRequest(mockConfig, mockName);
        String expectedStringPrefix = "NameQueryRequest[";
        String actualString = request.toString();

        assertTrue(actualString.startsWith(expectedStringPrefix));
        assertTrue(actualString.endsWith("]"));

     * exception is thrown so this information is merely meant to assist the user.
     *
     * @return The identifier of the POM or an empty string if not known, never {@code null}.
     */
    public String getModelId() {
        if (result == null) {
            return "";
        } else if (result.getEffectiveModel() != null) {
            return result.getEffectiveModel().getId();

  // appropriate.
  virtual tensorflow::FullTypeDef FullType() const = 0;

  // The default debug string includes a shape, dtype and FullType.
  // Implementations are free to override it with something more informative.
  virtual std::string DebugString() const;

  AbstractTensorHandleKind getKind() const { return kind_; }

 private:
  const AbstractTensorHandleKind kind_;
};