##     return [ "$1" == "${versions[0]}" ]
## }
##
check_minimum_version() {
	IFS='.' read -r -a varray1 <<<"$1"
	IFS='.' read -r -a varray2 <<<"$2"

	for i in "${!varray1[@]}"; do
		if [[ ${varray1[i]} -lt ${varray2[i]} ]]; then
			return 0
		elif [[ ${varray1[i]} -gt ${varray2[i]} ]]; then
			return 1
		fi
	done

	return 0
}

assert_is_supported_arch() {
	case "${ARCH}" in

  }

  private void doTestToArrayImpl2(List<Integer> list, Integer[] array1, boolean expectModify) {
    Integer[] starting = Arrays.copyOf(array1, array1.length);
    Integer[] array2 = Arrays.copyOf(array1, array1.length);
    // TODO b/283448200 - Remove temporary variable when Kotlin smartcast issue is resolved.
    Integer[] array1Tmp = array1;
    Object[] reference = list.toArray(array1Tmp);

  }

  private void doTestToArrayImpl2(List<Integer> list, Integer[] array1, boolean expectModify) {
    Integer[] starting = Arrays.copyOf(array1, array1.length);
    Integer[] array2 = Arrays.copyOf(array1, array1.length);
    // TODO b/283448200 - Remove temporary variable when Kotlin smartcast issue is resolved.
    Integer[] array1Tmp = array1;
    Object[] reference = list.toArray(array1Tmp);

#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:

#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 CompactHashSet.create();
  }

  /**
   * Returns a new array of the given length with the same type as a reference array.
   *
   * @param reference any array of the desired type
   * @param length the length of the new array
   */
  /*
   * The new array contains nulls, even if the old array did not. If we wanted to be accurate, we

  @CollectionSize.Require(absent = {ZERO, ONE})
  public void testCreateWithDuplicates_nullDuplicatesNotRejected() {
    E[] array = createArrayWithNullElement();
    array[0] = null;
    collection = getSubjectGenerator().create(array);

    List<E> expectedWithDuplicateRemoved = Arrays.asList(array).subList(1, getNumElements());
    expectContents(expectedWithDuplicateRemoved);
  }

  public void testZeros() {
    // Test 32 byte array of 0x00.
    byte[] zeros = new byte[32];
    assertCrc(0x8a9136aa, zeros);
  }

  public void testZeros100() {
    // Test 100 byte array of 0x00.
    byte[] zeros = new byte[100];
    assertCrc(0x07cb9ff6, zeros);
  }

  public void testFull() {
    // Test 32 byte array of 0xFF.
    byte[] fulls = new byte[32];
    Arrays.fill(fulls, (byte) 0xFF);

        "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));