is ParserResult.Failure -> {
            restore(mark)
            nullSuccess
        }

        is ParserResult.Success -> r
    }
}


internal
open class Combinator(
    val ignoresComments: Boolean,
    val ignoresNewline: Boolean
) {

    private
    val memoizedTokenParsers = mutableMapOf<KtToken, Parser<Unit>>()

    internal

      DivNoNanModel, DivNoNanGradModel, immediate_execution_ctx_.get(),
      {x.get(), y.get()}, UseFunction()));

  // `DivNoNanGradModel` should return {`0`, `0`} when the denominator is `0`.
  AbstractTensorHandlePtr z;
  {
    AbstractTensorHandle* z_raw = nullptr;
    status_ = TestScalarTensorHandle<float, TF_FLOAT>(
        immediate_execution_ctx_.get(), 0.0f, &z_raw);

	// increases the probability that we will stabilize quickly.
	// TODO: Do a better job yet. Here's one possibility:
	// Calculate the dominator tree and locate all strongly connected components.
	// If a value is live in one block of an SCC, it is live in all.
	// Walk the dominator tree from end to beginning, just once, treating SCC
	// components as single blocks, duplicated calculated liveness information
	// out to all of them.

  TF_RETURN_IF_ERROR(op_ptr->AddInput(y));
  int num_retvals = 1;
  return op_ptr->Execute(absl::MakeSpan(z, 1), &num_retvals);
}

// Op: DivNoNan()
// Summary: Returns 0 if the denominator is zero.
//
// Description:
//
//   *NOTE*: `DivNoNan` supports broadcasting. More about broadcasting
//   [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)

	}{
		{
			name:            "node has no nominated pod",
			preFilterPlugin: nil,
			filterPlugin:    nil,
			pod:             lowPriorityPod,
			nominatedPod:    nil,
			node:            node,
			nodeInfo:        framework.NewNodeInfo(pod),
			wantStatus:      nil,
		},
		{
			name: "node has a high-priority nominated pod and all filters succeed",
			preFilterPlugin: &TestPlugin{

			nominatedNodeStatus: framework.NewStatus(framework.UnschedulableAndUnresolvable, tainttoleration.ErrReasonNotMatch),
			expected:            true,
		},
		{
			name:                "Pod with nominated node, but without nominated node status",
			pod:                 st.MakePod().Name("p_without_status").UID("p").Priority(highPriority).NominatedNodeName("node1").Obj(),

		Numerator:   uint32(p.Value * 10000),
		Denominator: xdstype.FractionalPercent_MILLION,
	}
}

// translateIntegerToFractionalPercent translates an int32 instance to an
// envoy.type.FractionalPercent instance.
func translateIntegerToFractionalPercent(p int32) *xdstype.FractionalPercent {
	return &xdstype.FractionalPercent{
		Numerator:   uint32(p),
		Denominator: xdstype.FractionalPercent_HUNDRED,
	}
}

			currentNominatedNodeName: "node1",
			expectedPatchRequests:    1,
			expectedPatchData:        `{"status":{"nominatedNodeName":null}}`,
		},
		{
			name:                     "Should not make patch request if nominated node is already cleared",
			currentNominatedNodeName: "",
			expectedPatchRequests:    0,
		},
	}
	for _, test := range tests {
		t.Run(test.name, func(t *testing.T) {
			actualPatchRequests := 0

			Help:      "Observations, at the end of every nanosecond, of number of requests (as a fraction of the relevant limit) waiting or in any stage of execution (but only initial stage for WATCHes)",
			// For executing: the denominator will be seats, so this metric will skew low.
			// For waiting: total queue capacity is generally quite generous, so this metric will skew low.
			Buckets:        []float64{0, 0.001, 0.003, 0.01, 0.03, 0.1, 0.25, 0.5, 0.75, 1},

		u, v      string
		wasSquare int
		r         string
	}
	var tests = []test{
		// If u is 0, the function is defined to return (0, TRUE), even if v
		// is zero. Note that where used in this package, the denominator v
		// is never zero.
		{
			"0000000000000000000000000000000000000000000000000000000000000000",
			"0000000000000000000000000000000000000000000000000000000000000000",