ASSERT_NEAR(dnumerical[j], danalytical[j], abs_error);
    }
    TF_DeleteTensor(analytical_tensor);
    TF_DeleteTensor(numerical_tensor);
    delete[] danalytical;
    delete[] dnumerical;
    outputs[i]->Unref();
  }
}

void CheckTensorValue(AbstractTensorHandle* t, absl::Span<const float> manuals,
                      absl::Span<const int64_t> dims, double abs_error) {
  TF_Tensor* analytical_tensor;

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp3.internal.idn

import kotlin.math.abs
import okio.ByteString

internal sealed interface MappedRange {
  val rangeStart: Int

  data class Constant(
    override val rangeStart: Int,
    val type: Int,
  ) : MappedRange {
    val b1: Int

 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package okhttp3.internal.idn

import kotlin.math.abs
import kotlin.streams.toList
import okio.Buffer

/** Index [table] for compactness as specified by `IdnaMappingTable`. */
fun buildIdnaMappingTableData(table: SimpleIdnaMappingTable): IdnaMappingTableData {

		fmt.Println(profFName)
		fmt.Println(strings.Repeat("=", len(profFName)))
		fmt.Println("")

		for t, stacks := range r {
			if less != 0 && t >= less {
				continue
			}
			if goTime == 0 || math.Abs(float64(t)-float64(goTime)) <= float64(margin) {
				for _, stack := range stacks {
					fmt.Println(stack)
				}
			}
		}
	}

	Name5        int64  `gorm:"index:,class:FULLTEXT,comment:hello \\, world,where:age > 10"`
	Name6        int64  `gorm:"index:profile,comment:hello \\, world,where:age > 10"`
	Age          int64  `gorm:"index:profile,expression:ABS(age),option:WITH PARSER parser_name"`
	OID          int64  `gorm:"index:idx_id;index:idx_oid,unique"`
	MemberNumber string `gorm:"index:idx_id,priority:1"`
	Name7        string `gorm:"index:type"`

          // to produce the message throws (probably StackOverflowError from delegate.toString())
          try {
            if (timer != null) {
              long overDelayMs = Math.abs(timer.getDelay(TimeUnit.MILLISECONDS));
              if (overDelayMs > 10) { // Not all timing drift is worth reporting
                message += " (timeout delayed by " + overDelayMs + " ms after scheduled time)";
              }

  ASSERT_EQ(errors::OK, status_.code()) << status_.message();
  EXPECT_EQ(outputs[0], nullptr);
  ASSERT_NO_FATAL_FAILURE(CheckTensorValue(outputs[1], {1.0f}, /*dims*/ {},
                                           /*abs_error*/ 0));
  outputs[1]->Unref();
}

#ifdef PLATFORM_GOOGLE
INSTANTIATE_TEST_SUITE_P(
    UnifiedCAPI, CppGradients,
    ::testing::Combine(::testing::Values("graphdef", "mlir"),

  ASSERT_EQ(errors::OK, status_.code()) << status_.message();
  ASSERT_NO_FATAL_FAILURE(CheckTensorValue(outputs[0], {0.0f}, /*dims*/ {},
                                           /*abs_error*/ 0));
  outputs[0]->Unref();
}

TEST_P(CppGradients, TestSparseSoftmaxCrossEntropyWithLogitsGrad) {
  if (UseFunction()) {
    // TODO(b/168850692): Enable this.

  AbstractTensorHandle* f_outputs[1];

  // Numerical Grad Check
  for (int i = 0; i < num_elems; i++) {
    // Get relative epsilon value
    float epsilon = theta_data[i] == 0 ? 1e-4 : std::abs(theta_data[i] * 1e-4);
    AbstractTensorHandlePtr two_eps;
    {
      AbstractTensorHandle* two_eps_raw = nullptr;
      TF_RETURN_IF_ERROR(TestScalarTensorHandle<float, TF_FLOAT>(