* function doing a good job of distributing the elements to the buckets to a distribution not far
 * from uniform), and amortized since some operations can trigger a hash table resize.
 *
 * <p>As compared with {@link java.util.LinkedHashMap}, this structure places significantly reduced
 * load on the garbage collector by only using a constant number of internal objects.
 *

  DCHECK(tf_results->missing_unused_key_names_data.empty());

  size_t size = results.missing_unused_input_map_keys.size();
  tf_results->missing_unused_key_names.resize(size);
  tf_results->missing_unused_key_indexes.resize(size);

  for (int i = 0; i < size; ++i) {
    TensorId id = results.missing_unused_input_map_keys[i];
    tf_results->missing_unused_key_names_data.emplace_back(id.first);
    tf_results->missing_unused_key_names[i] =

		}
		// Is the buffer full? If so, resize.
		if s.end == len(s.buf) {
			// Guarantee no overflow in the multiplication below.
			const maxInt = int(^uint(0) >> 1)
			if len(s.buf) >= s.maxTokenSize || len(s.buf) > maxInt/2 {
				s.setErr(ErrTooLong)
				return false
			}
			newSize := len(s.buf) * 2
			if newSize == 0 {
				newSize = startBufSize
			}
			newSize = min(newSize, s.maxTokenSize)

- The pod `status.resize` field is now deprecated and will no longer be set. The status of a pod resize will be exposed under two new conditions: `PodResizeInProgress` and `PodResizePending` instead. ([#130733](https://github.com/kubernetes/kubernetes/pull/130733), [@natasha41575](https://github.com/natasha41575))...

- Implemented prioritization of resize requests based on `priorityClass` and QoS class when node resources are insufficient to accommodate all pending resize operations. ([#132342](https://github.com/kubernetes/kubernetes/pull/132342), [@natasha41575](https://github.com/natasha41575)) [SIG Node and Testing]

      return forwardList;
    }

    private int reverseIndex(int index) {
      int size = size();
      checkElementIndex(index, size);
      return (size - 1) - index;
    }

    private int reversePosition(int index) {
      int size = size();
      checkPositionIndex(index, size);
      return size - index;
    }

    @Override
    public void add(int index, @ParametricNullness T element) {

    *   Added gradient for `SparseToDense` op.
    *   Expose a flag that allows the number of threads to vary across Python
        benchmarks.
    *   `image.resize` in 2.0 now supports gradients for the new resize kernels.
    *   `image.resize` now considers proper pixel centers and has new kernels
        (incl. anti-aliasing).
    *   Renamed `tf.image` functions to remove duplicate "image" where it is
        redundant.

### Documentation

- Promoted the `--chunk-size` flag to stable. The kubectl `describe`, `get`, `drain`, and `events` commands can use `--chunk-size` flag to set chunk size. ([#134481](https://github.com/kubernetes/kubernetes/pull/134481), [@soltysh](https://github.com/soltysh))

### Bug or Regression

renamed to NodeToStatusReader. ([#126022](https://github.com/kubernetes/kubernetes/pull/126022), [@macsko](https://github.com/macsko)) [SIG Node, Scheduling, and Testing]

- A new /resize subresource was added to request pod resource resizing. Update your k8s client code to utilize the /resize subresource for Pod resizing operations. ([#128266](https://github.com/kubernetes/kubernetes/pull/128266), [@AnishShah](https://github.com/AnishShah)) [SIG API Machinery, Apps, Node and Testing]...

  }

  void CompareInt32Tensor(const std::vector<int32_t>& expected, TF_Tensor* t) {
    int32_t* data = static_cast<int32_t*>(TF_TensorData(t));
    size_t size = TF_TensorByteSize(t);
    ASSERT_EQ(expected.size() * sizeof(int32_t), size);
    for (int i = 0; i < expected.size(); ++i) {
      ASSERT_EQ(expected[i], data[i]) << "Different data at index " << i;
    }
  }