%read0 = "tf.ReadVariableOp"(%arg0) : (tensor<!tf_type.resource<tensor<i32>>>) -> tensor<i32>
      %read1 = "tf.ReadVariableOp"(%arg1) : (tensor<!tf_type.resource<tensor<i32>>>) -> tensor<i32>
      %partitioned_input = "tf.TPUPartitionedInput"(%read0, %read1) {N = 2 : i64, _XlaSharding = "", partition_dim = -1 : i64} : (tensor<i32>, tensor<i32>) -> tensor<i32>

    %read0 = "tf.ReadVariableOp"(%arg0) : (tensor<!tf_type.resource<tensor<i32>>>) -> tensor<i32>
    // CHECK: %[[READ_VAR_1:[0-9]*]] = "tf.ReadVariableOp"(%arg1)
    %read1 = "tf.ReadVariableOp"(%arg1) : (tensor<!tf_type.resource<tensor<i32>>>) -> tensor<i32>
    // CHECK-NOT: tf.TPUPartitionedInputV2

//   if-else-branch: [arg0, arg0, arg1]
//     => first result is unknown, second and third is passthrough
//   if results    : [*,    arg0, {arg0, arg1}[
//   ID #2: read (unknown)         -> succ {5, 6)
//   ID #3: read (arg0)            -> succ {5}
//   ID #4: read({arg0,arg1})      -> succ {5,6}
//   ID #5: write(arg0)
//   ID #6: write(arg1)

// CHECK-LABEL: func @output_of_if_op
func.func @output_of_if_op(

    // CHECK: "tf.ReadVariableOp"
    // CHECK-SAME: (tensor<!tf_type.resource<tensor<4xf32>>>) -> tensor<4xf32>
    %read = "tf.ReadVariableOp"(%ri) : (tensor<*x!tf_type.resource>) -> tensor<*xf32>
    // CHECK: "tf.ReadVariableOp"
    // CHECK-SAME: (tensor<!tf_type.resource<tensor<*xf32>>>) -> tensor<*xf32>
    %read1 = "tf.ReadVariableOp"(%arg2) : (tensor<!tf_type.resource<tensor<*xf32>>>) -> tensor<*xf32>
    // CHECK: return

						{Ready: true, RestartCount: 3, State: api.ContainerState{Running: &api.ContainerStateRunning{}}},
						{Ready: true, RestartCount: 3},
					},
				},
			},
			[]metav1.TableRow{{Cells: []interface{}{"test5", "1/2", "podReason", "6", "<unknown>"}}},
		},
		{
			// Test pod has 2 containers, one is running and the other is completed, w/o ready condition
			api.Pod{

      "properties": {
        "minReadySeconds": {
          "description": "Minimum number of seconds for which a newly created pod should be ready without any of its container crashing, for it to be considered available. Defaults to 0 (pod will be considered available as soon as it is ready)",
          "format": "int32",
          "type": "integer"
        },
        "paused": {

				ContainerStatuses: []v1.ContainerStatus{
					ready(waitingWithLastTerminationUnknown("containerA", 0)),
					ready(waitingWithLastTerminationUnknown("containerB", 0)),
				},
			},
			expectedPodReadyToStartContainersCondition: v1.PodCondition{
				Type:   v1.PodReadyToStartContainers,
				Status: v1.ConditionTrue,
			},
		},
		{
			name: "current status ready, with previous statuses and no deletion",

     * at table entries if it is 0.
     *
     * - All (synchronized) write operations should write to the "count" field after structurally
     * changing any bin. The operations must not take any action that could even momentarily cause a
     * concurrent read operation to see inconsistent data. This is made easier by the nature of the

			expectedFollowingStates: map[string]ZoneState{
				testutil.CreateZoneID("region1", "zone1"): stateFullDisruption,
				testutil.CreateZoneID("region2", "zone2"): stateFullDisruption,
			},
		},
		"Full Disruption: Ready condition removed from the Node": {
			nodeList: []*v1.Node{
				{
					ObjectMeta: metav1.ObjectMeta{
						Name:              "node0",
						CreationTimestamp: fakeNow,
						Labels: map[string]string{

(t,"vw")?bi(li(R(i)),t):c(t,"%")?bi(ai(i)[e],t):j(t)}function bi(t,e){return t*j(e)/100}var xi={reads:[],writes:[],read:function(t){return this.reads.push(t),$i(),t},write:function(t){return this.writes.push(t),$i(),t},clear:function(t){return Si(this.reads,t)||Si(this.writes,t)},flush:yi};function yi(t){void 0===t&&(t=1),Ii(xi.reads),Ii(xi.writes.splice(0,xi.writes.length)),xi.scheduled=!1,(xi.reads.length||xi.writes.length)&&$i(t+1)}var ki=5;function $i(t){if(!xi.scheduled){if(xi.scheduled=!0,ki<t)throw...