// Returns the device which created the handle.
  virtual const char* DeviceName(absl::Status* status) const = 0;
  // Returns the device where the tensor was placed.
  virtual const char* BackingDeviceName(absl::Status* status) const = 0;
  // Returns the device type which created the handle.
  virtual const char* DeviceType(absl::Status* status) const = 0;
  // Returns the device ID which created the handle.

#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/tf_status.h"

void RegisterLoggingDevice(TFE_Context* context, const char* name,
                           bool strict_scope_placement, bool* arrived_flag,
                           bool* executed_flag, TF_Status* status);
void AllocateLoggingDevice(const char* name, bool* arrived_flag,
                           bool* executed_flag, TFE_CustomDevice** device,

   * <p>See {@link #verify(boolean, String, Object...)} for details.
   *
   * @since 23.1 (varargs overload since 17.0)
   */
  public static void verify(
      boolean expression, String errorMessageTemplate, char p1, char p2) {
    if (!expression) {
      throw new VerifyException(lenientFormat(errorMessageTemplate, p1, p2));
    }
  }

  /**

    assertPutString(new char[] {'p', HashTestUtils.randomLowSurrogate(new Random())});
  }

  public void testPutStringWithHighSurrogate() {
    // we pad because the dummy hash function we use to test this, merely copies the input into
    // the output, so the input must be at least 32 bits, since the output has to be that long
    assertPutString(new char[] {'p', HashTestUtils.randomHighSurrogate(new Random())});
  }

        return this;
    }

    public Ansi a(char value) {
        flushAttributes();
        builder.append(value);
        return this;
    }

    public Ansi a(char[] value, int offset, int len) {
        flushAttributes();
        builder.append(value, offset, len);
        return this;
    }

    public Ansi a(char[] value) {
        flushAttributes();
        builder.append(value);

            + "abcdefghijklmnopqrstuvwxyz"
            + "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
            + "1234567890";
    assertThat(xmlEscaper.escape(s)).isEqualTo(s);

    // Test ASCII control characters.
    for (char ch = 0; ch < 0x20; ch++) {
      if (ch == '\t' || ch == '\n' || ch == '\r') {
        // Only these whitespace chars are permitted in XML,
        if (shouldEscapeWhitespaceChars) {

   * <p>See {@link #verify(boolean, String, Object...)} for details.
   *
   * @since 23.1 (varargs overload since 17.0)
   */
  public static void verify(
      boolean expression, String errorMessageTemplate, char p1, char p2) {
    if (!expression) {
      throw new VerifyException(lenientFormat(errorMessageTemplate, p1, p2));
    }
  }

  /**

}

// Exercises tensorflow's C API.
int main(int argc, char** argv) {
  TF_InitMain(argv[0], &argc, &argv);

  struct TF_StringStream* s = TF_GetLocalTempDirectories();
  const char* path;

  if (!TF_StringStreamNext(s, &path)) {
    fprintf(stderr, "TF_GetLocalTempDirectories returned no results\n");
    return 1;
  }

  char file_name[100];
  time_t t = time(NULL);

  virtual bool HasCustomDeviceInput() const = 0;

  virtual const tensorflow::OpDef* OpDef() const = 0;

  virtual absl::Status InputLength(const char* input_name, int* length) = 0;
  virtual absl::Status OutputLength(const char* output_name, int* length) = 0;

  // Set stack trace to be used for potential async error reporting.
  virtual void SetStackTrace(ManagedStackTrace stack_trace) = 0;

}

TFE_TensorHandle* CopyTensorFromLoggingDevice(TFE_Context* context,
                                              TFE_TensorHandle* tensor,
                                              const char* target_device_name,
                                              TF_Status* status,
                                              void* device_info) {
  TF_SetStatus(status, TF_INTERNAL,