or declared by a method receiver begins after the name of the function
	    and ends at the end of the function body.</li>

	<li>The scope of an identifier denoting a type parameter of a type
	    begins after the name of the type and ends at the end
	    of the TypeSpec.</li>

	<li>The scope of a constant or variable identifier declared
	    inside a function begins at the end of the ConstSpec or VarSpec

// scheduleFrameWrite tickles the frame writing scheduler.
//
// If a frame is already being written, nothing happens. This will be called again
// when the frame is done being written.
//
// If a frame isn't being written and we need to send one, the best frame
// to send is selected by writeSched.
//
// If a frame isn't being written and there's nothing else to send, we
// flush the write buffer.

- Fixed a regression since 1.24 in the scheduling framework when overriding MultiPoint plugins (e.g. default plugins).
  The incorrect loop logic might lead to a plugin being loaded multiple times, consequently preventing any Pod from being scheduled, which is unexpected. ([#122366](https://github.com/kubernetes/kubernetes/pull/122366), [@caohe](https://github.com/caohe)) [SIG Scheduling]

- Fixed a regression since 1.24 in the scheduling framework when overriding MultiPoint plugins (e.g. default plugins).
  The incorrect loop logic might lead to a plugin being loaded multiple times, consequently preventing any Pod from being scheduled, which is unexpected. ([#122370](https://github.com/kubernetes/kubernetes/pull/122370), [@caohe](https://github.com/caohe)) [SIG Scheduling]

### Other (Cleanup or Flake)

        begin = (input_shape[i] - 1) - begin;
        end = (input_shape[i] - 1) - end;
        stride = -stride;
      }

      // Unlike TensorFlow, HLO requires begin and end values to be within
      // range.
      begin = std::max(int64_t(0), begin);
      end = std::max(begin, end);
      end = std::min(end, input_shape[i]);

      hlo_begin_indices.push_back(begin);

  // Input shape: [4, 128, 1024]
  // Begin:        1,   4,   -3
  // End:          8,  65,   42
  // Stride:       1,   4,   -1
  // Begin mask:   0,   0,    1  (= 1)
  // End mask:     1,   0,    0  (= 4)

  // So result shape:
  // Dim #0: begin mask (1) -> begin = 0; end 8 canonicalized to 4: so 4
  // Dim #1: 4 to 65 stride 4: so 16
  // Dim #2: begin -3 + 1024 = 1021; end mask (1) -> end = -1: so 1022

  %begin = arith.constant dense<0> : tensor<1xi32>
  %0 = "tfl.slice"(%arg0, %begin, %arg1) : (tensor<?xf32>, tensor<1xi32>, tensor<1xi32>) -> tensor<?xf32>
  func.return %0 : tensor<?xf32>
  // CHECK-DAG: %[[BEGIN:.*]] = arith.constant dense<0> : tensor<1xi32>
  // CHECK: %[[SLICE:.*]] = "tfl.slice"(%arg0, %[[BEGIN]], %arg1) : (tensor<?xf32>, tensor<1xi32>, tensor<1xi32>) -> tensor<?xf32>

  // APIGroup is the group for the resource being referenced.
  // If APIGroup is not specified, the specified Kind must be in the core API group.
  // For any other third-party types, APIGroup is required.
  // +optional
  optional string apiGroup = 1;

  // Kind is the type of resource being referenced
  optional string kind = 2;

  // Name is the name of resource being referenced
  optional string name = 3;
}

type TypedObjectReference struct {
	// APIGroup is the group for the resource being referenced.
	// If APIGroup is not specified, the specified Kind must be in the core API group.
	// For any other third-party types, APIGroup is required.
	// +optional
	APIGroup *string
	// Kind is the type of resource being referenced
	Kind string
	// Name is the name of resource being referenced
	Name string

	"apiGroup":  "APIGroup is the group for the resource being referenced. If APIGroup is not specified, the specified Kind must be in the core API group. For any other third-party types, APIGroup is required.",
	"kind":      "Kind is the type of resource being referenced",
	"name":      "Name is the name of resource being referenced",