continue
			}
			y := left.Args[1]
			x := left.Args[0]
			right := v_1
			if right.Op != OpRsh16Ux64 {
				continue
			}
			_ = right.Args[1]
			if x != right.Args[0] {
				continue
			}
			right_1 := right.Args[1]
			if right_1.Op != OpSub64 {
				continue
			}
			_ = right_1.Args[1]
			right_1_0 := right_1.Args[0]

			break
		}
		y := v_2.Args[1]
		if ptr != v_2.Args[0] {
			break
		}
		v.reset(OpAMD64ADDL)
		v0 := b.NewValue0(v_2.Pos, OpAMD64MOVLf2i, typ.UInt32)
		v0.AddArg(y)
		v.AddArg2(x, v0)
		return true
	}
	return false
}
func rewriteValueAMD64_OpAMD64ADDLmodify(v *Value) bool {
	v_2 := v.Args[2]
	v_1 := v.Args[1]
	v_0 := v.Args[0]

}
func rewriteValueARM64_OpARM64CSINC(v *Value) bool {
	v_2 := v.Args[2]
	v_1 := v.Args[1]
	v_0 := v.Args[0]
	// match: (CSINC [cc] x y (InvertFlags cmp))
	// result: (CSINC [arm64Invert(cc)] x y cmp)
	for {
		cc := auxIntToOp(v.AuxInt)
		x := v_0
		y := v_1
		if v_2.Op != OpARM64InvertFlags {
			break
		}
		cmp := v_2.Args[0]
		v.reset(OpARM64CSINC)
		v.AuxInt = opToAuxInt(arm64Invert(cc))

	fldPath := field.NewPath("test")
	type args struct {
		probe   *core.Probe
		fldPath *field.Path
	}
	tests := []struct {
		name string
		args args
		want field.ErrorList
	}{{
		args: args{
			probe:   &core.Probe{},
			fldPath: fldPath,
		},
		want: field.ErrorList{field.Required(fldPath, "must specify a handler type")},
	}, {
		args: args{
			probe: &core.Probe{

            image: "{{ annotation .ObjectMeta `sidecar.istio.io/proxyImage` .Values.global.proxy_init.image }}"
          {{- else }}
            image: "{{ .ProxyImage }}"
          {{- end }}
            args:
            - istio-iptables
            - "-p"
            - {{ .MeshConfig.ProxyListenPort | default "15001" | quote }}
            - "-z"

naked Eye. And their Segments or Arcs, which on the other side appear'd
so numerous, for the most part exceeded not the third Part of a Circle.
If the Refraction was very great, or the Prism very distant from the
Object-glasses, the middle Part of those Arcs became also confused, so
as to disappear and constitute an even Whiteness, whilst on either side
their Ends, as also the whole Arcs farthest from the Center, became

		{"NewMap", Func, 0},
		{"NewString", Func, 0},
		{"Publish", Func, 0},
		{"String", Type, 0},
		{"Var", Type, 0},
	},
	"flag": {
		{"(*FlagSet).Arg", Method, 0},
		{"(*FlagSet).Args", Method, 0},
		{"(*FlagSet).Bool", Method, 0},
		{"(*FlagSet).BoolFunc", Method, 21},
		{"(*FlagSet).BoolVar", Method, 0},
		{"(*FlagSet).Duration", Method, 0},
		{"(*FlagSet).DurationVar", Method, 0},

    *   Adding center bias option for boosted trees.
*   Add `synchronization` and `aggregation` args to get_variable(). These args
    will be used for distributed variables.
*   Add `synchronization` and `aggregation` args to the layer `add_weight()`
    API. These args will be used for distributed variables.
*   `tf.losses.*` do not add to the global collection when executing eagerly (to

underlying graph, and executes each of the partitioned subgraphs as a function.
  }];

  let arguments = (ins
    Arg<Variadic<TF_Tensor>, [{A list of input tensors.}]>:$args,

    SymbolRefAttr:$f,
    DefaultValuedOptionalAttr<StrAttr, "\"\"">:$config,
    DefaultValuedOptionalAttr<StrAttr, "\"\"">:$config_proto,
    DefaultValuedOptionalAttr<StrAttr, "\"\"">:$executor_type

          name: "axis"
          type: "int"
          default_value {
            i: 0
          }
        }
      }
      op {
        name: "PartitionedCall"
        input_arg {
          name: "args"
          type_list_attr: "Tin"
        }
        output_arg {
          name: "output"
          type_list_attr: "Tout"
        }
        attr {
          name: "Tin"
          type: "list(type)"