return 0, 3 // Illegal UTF-8: not a continuation byte.
		}
		return t.lookupValue(uint32(i), c3), 4
	}
	// Illegal rune
	return 0, 1
}

// lookupUnsafe returns the trie value for the first UTF-8 encoding in s.
// s must start with a full and valid UTF-8 encoded rune.
func (t *bidiTrie) lookupUnsafe(s []byte) uint8 {
	c0 := s[0]
	if c0 < 0x80 { // is ASCII
		return bidiValues[c0]
	}
	i := bidiIndex[c0]

			return 0, 3 // Illegal UTF-8: not a continuation byte.
		}
		return t.lookupValue(uint32(i), c3), 4
	}
	// Illegal rune
	return 0, 1
}

// lookupUnsafe returns the trie value for the first UTF-8 encoding in s.
// s must start with a full and valid UTF-8 encoded rune.
func (t *bidiTrie) lookupUnsafe(s []byte) uint8 {
	c0 := s[0]
	if c0 < 0x80 { // is ASCII
		return bidiValues[c0]
	}
	i := bidiIndex[c0]

                                      std::vector<PartialTensorShape>{}, {},
                                      /*input_tensors_as_shapes=*/{}, {});
  TF_RETURN_IF_ERROR(c.Run(op_reg_data->shape_inference_fn));
  return shape_ic(&c);
}

absl::StatusOr<TensorType> ImporterBase::ConvertDataTypeAndShape(
    DataType dtype, const shape_inference::ShapeHandle& handle,

* fixed typo in script which made setting custom cidr in gce using kube-up impossible ([#35267](https://github.com/kubernetes/kubernetes/pull/35267), [@tommywo](https://github.com/tommywo))
* The podGC controller will now always run, irrespective of the value supplied to the "terminated-pod-gc-threshold" flag supplied to the controller manager.  ([#35476](https://github.com/kubernetes/kubernetes/pull/35476), [@foxish](https://github.com/foxish))

	// housekeeping routine. This test registers the pod, removes the unwanted pod, then calls into
	// HandlePodCleanups a few more times. We should only see one Destroy() event. podKiller runs
	// within a goroutine so a two second delay should be enough time to
	// mark the pod as killed (within this test case).

	kubelet.HandlePodCleanups(ctx)

	// assert that unwanted pods were killed

  GraphOptimizationPassWrapper wrapper;
  GraphOptimizationPassOptions options =
      wrapper.CreateGraphOptimizationPassOptions(&graph);

  EncapsulateSubgraphsPass pass;
  TF_ASSERT_OK(pass.Run(options));

  for (const Node* node : graph->nodes()) {
    bool has_ref_var;
    TF_ASSERT_OK(
        GetNodeAttr(node->attrs(), kXlaHasReferenceVarsAttr, &has_ref_var));

      index = const_attribute_to_buffer_map_[attr];
      return empty_buffer_;
    }
    const_attribute_to_buffer_map_[attr] = index;
  }

  // TF doesn't currently support 4-bit types (DT_INT4), so we'll run into
  // trouble calling ConvertToTensor(). For now, extract the tensor data from
  // ElementsAttr directly in this and read type from tflite::TensorType instead
  // of tensorflow::DataType.

		// add underscore if last letter is capital letter
		// add underscore when previous letter is lowercase
		// add underscore when next letter is lowercase
		if (i != 0 || i == l-1) && ((i > 0 && rune(camel[i-1]) >= 'a') ||
			(i < l-1 && rune(camel[i+1]) >= 'a')) {
			b.WriteRune('_')
		}
		b.WriteRune(v + 'a' - 'A')
	}
	return b.String()

var buf = make([]byte, 8192)

func benchmarkSize(b *testing.B, size int) {
	sum := make([]byte, bench.Size())
	b.Run("New", func(b *testing.B) {
		b.ReportAllocs()
		b.SetBytes(int64(size))
		for i := 0; i < b.N; i++ {
			bench.Reset()
			bench.Write(buf[:size])
			bench.Sum(sum[:0])
		}
	})
	b.Run("Sum384", func(b *testing.B) {
		b.ReportAllocs()
		b.SetBytes(int64(size))
		for i := 0; i < b.N; i++ {

							w.Header().Set(k, v)
						}

						if opts.PartNumber > 0 && strings.Contains(ci.ETag, "-") {
							w.Header()[xhttp.AmzMpPartsCount] = []string{
								strings.TrimLeftFunc(ci.ETag, func(r rune) bool {
									return !unicode.IsNumber(r)
								}),
							}
						}

						// For providing ranged content
						start, rangeLen, err := rs.GetOffsetLength(ci.Size)
						if err != nil {