// For datasets of many double values created from an array, we test many combinations of
    // finite and non-finite values:
    for (ManyValues values : ALL_MANY_VALUES) {
      StatsAccumulator accumulator = new StatsAccumulator();
      StatsAccumulator accumulatorByAddAllStats = new StatsAccumulator();
      accumulator.addAll(values.asArray());
      for (double value : values.asIterable()) {

#ifndef TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_ARRAY_GRAD_H_
#define TENSORFLOW_C_EXPERIMENTAL_GRADIENTS_ARRAY_GRAD_H_

#include "tensorflow/c/eager/gradients.h"

namespace tensorflow {
namespace gradients {
GradientFunction* IdentityNRegisterer(const ForwardOperation& op);
}  // namespace gradients
}  // namespace tensorflow

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/
#include "tensorflow/c/experimental/gradients/array_grad.h"

#include "tensorflow/c/eager/abstract_context.h"

namespace tensorflow {
namespace gradients {
namespace {
class IdentityNGradientFunction : public GradientFunction {
 public:

    assertThat(array).hasLength(2);
    assertNull(array[0]);
  }

  public void testNewArray_fromArray_OfArray() {
    String[][] array = ObjectArrays.newArray(new String[0][0], 1);
    assertEquals(String[][].class, array.getClass());
    assertThat(array).hasLength(1);
    assertNull(array[0]);
  }

  @GwtIncompatible // ObjectArrays.concat(Object[], Object[], Class)
  public void testConcatEmptyEmpty() {

    assertThat(array).hasLength(2);
    assertNull(array[0]);
  }

  public void testNewArray_fromArray_OfArray() {
    String[][] array = ObjectArrays.newArray(new String[0][0], 1);
    assertEquals(String[][].class, array.getClass());
    assertThat(array).hasLength(1);
    assertNull(array[0]);
  }

  @GwtIncompatible // ObjectArrays.concat(Object[], Object[], Class)
  public void testConcatEmptyEmpty() {

#include "tensorflow/c/experimental/gradients/array_grad.h"

#include "tensorflow/c/eager/c_api_test_util.h"
#include "tensorflow/c/eager/c_api_unified_experimental_internal.h"
#include "tensorflow/c/eager/unified_api_testutil.h"
#include "tensorflow/c/experimental/gradients/grad_test_helper.h"
#include "tensorflow/c/experimental/gradients/tape/tape_context.h"
#include "tensorflow/c/experimental/ops/array_ops.h"
#include "tensorflow/c/tf_status_helper.h"

		return true
	}
	return false
}

// IsMissing - checks if value is missing.
func (v Value) IsMissing() bool {
	_, ok := v.value.(Missing)
	return ok
}

// IsArray returns whether the value is an array.
func (v Value) IsArray() (ok bool) {
	_, ok = v.value.([]Value)
	return ok
}

func (v Value) isNumeric() bool {
	//nolint:gocritic
	switch v.value.(type) {
	case int64, float64:

    assertSame(
        "toArray(sameSizeE[]) should return the given array", array, collection.toArray(array));
    expectArrayContentsInOrder(getOrderedElements(), array);
  }

  public void testToArray_rightSizedArrayOfObject() {
    Object[] array = new Object[getNumElements()];
    assertSame(
        "toArray(sameSizeObject[]) should return the given array",
        array,
        collection.toArray(array));

    assertSame(
        "toArray(sameSizeE[]) should return the given array", array, collection.toArray(array));
    expectArrayContentsInOrder(getOrderedElements(), array);
  }

  public void testToArray_rightSizedArrayOfObject() {
    Object[] array = new Object[getNumElements()];
    assertSame(
        "toArray(sameSizeObject[]) should return the given array",
        array,
        collection.toArray(array));

      this.upperBounds = JavaVersion.CURRENT.usedInGenericType(upperBounds);
    }

    @Override
    public Type[] getLowerBounds() {
      return toArray(lowerBounds);
    }

    @Override
    public Type[] getUpperBounds() {
      return toArray(upperBounds);
    }

    @Override
    public boolean equals(@CheckForNull Object obj) {
      if (obj instanceof WildcardType) {