init.Append(typecheck.Stmt(nif))

		t = types.NewArray(t.Elem(), i) // [r]T
		var_ := typecheck.TempAt(base.Pos, ir.CurFunc, t)
		appendWalkStmt(init, ir.NewAssignStmt(base.Pos, var_, nil))  // zero temp
		r := ir.NewSliceExpr(base.Pos, ir.OSLICE, var_, nil, l, nil) // arr[:l]
		// The conv is necessary in case n.Type is named.
		return walkExpr(typecheck.Expr(typecheck.Conv(r, n.Type())), init)

			{"puts", 16, 0, 0, 0, 0, "", ""},
		},
	},
}

func TestOpen(t *testing.T) {
	for i := range fileTests {
		tt := &fileTests[i]

		var f *File
		var err error
		if path.Ext(tt.file) == ".gz" {
			var r io.ReaderAt
			if r, err = decompress(tt.file); err == nil {
				f, err = NewFile(r)
			}
		} else {
			f, err = Open(tt.file)
		}
		if err != nil {

// conditions are also hoisted (i.e., `tf.Add` and `tf.Mul`).
// Another variable `%var2` which has a different resource handle is not
// readonly.

// CHECK-LABEL: readvariableop_is_hoisted_if_readonly2
// CHECK:       [[CST_0:%.*]] = "tf.Const"
// CHECK:       [[VAR_1:%.*]] = "tf.VarHandleOp"
// CHECK-SAME:  "shared_name_var1"
// CHECK:       [[VAR_2:%.*]] = "tf.VarHandleOp"
// CHECK-SAME:  "shared_name_var2"

		store.Create(newProxyConfig(fmt.Sprintf("pc-%d", i), "istio-system", &v1beta12.ProxyConfig{
			Concurrency: &wrapperspb.Int32Value{Value: int32(i % 5)},
			EnvironmentVariables: map[string]string{
				fmt.Sprintf("VAR_%d", i): fmt.Sprint(i),
			},
		}))
	}
	pcs := model.GetProxyConfigs(store, m)
	env := model.Environment{
		Watcher:     mesh.NewFixedWatcher(m),
		ConfigStore: store,
	}

    func.return %4 : tensor<100x50xf32>
  }
  // CHECK: "tf.VarHandleOp"
  // CHECK-SAME: shared_name = "var1"
  // CHECK-SAME: _is_initialized = true
  // CHECK: "tf.VarHandleOp"
  // CHECK-SAME: shared_name = "var2"
  // CHECK-SAME: _is_initialized = true
  // CHECK: "tf.VarHandleOp"

  // Create 2 resources and initialize them with dummy values.
  TF_CHECK_OK(device->resource_manager()->Create(
      container, "var1", new tensorflow::Var(tensorflow::DataType::DT_FLOAT)));
  TF_CHECK_OK(device->resource_manager()->Create(
      container, "var2", new tensorflow::Var(tensorflow::DataType::DT_FLOAT)));
}

Status FakeSession::Create(const tensorflow::GraphDef& graph) {

    %var_0 = "tf.VarHandleOp"() {shared_name = "var_0"} : () -> tensor<!tf_type.resource<tensor<2xf32>>>
    "tf.AssignVariableOp"(%var_0, %cst_0) : (tensor<!tf_type.resource<tensor<2xf32>>>, tensor<2xf32>) -> ()

    %var_1 = "tf.VarHandleOp"() {shared_name = "var_1"} : () -> tensor<!tf_type.resource<tensor<2xf32>>>

    - five
    - six
    - seven
    - eight
    - nine
    env:
    - name: VAR_3
      valueFrom:
        secretKeyRef:
          key: some-other-key
          name: some-oher-name
    - name: VAR_2
      valueFrom:
        secretKeyRef:
          key: other-key
          name: other-name
    - name: VAR_1
      valueFrom:
        secretKeyRef:
          key: some-key
          name: some-name

    - five
    - six
    - seven
    - eight
    - nine
    env:
    - name: VAR_3
      valueFrom:
        secretKeyRef:
          key: some-other-key
          name: some-oher-name
    - name: VAR_2
      valueFrom:
        secretKeyRef:
          key: other-key
          name: other-name
    - name: VAR_1
      valueFrom:
        secretKeyRef:
          key: some-key
          name: some-name

    %var_0 = "tf.VarHandleOp"() {shared_name = "var_0"} : () -> tensor<!tf_type.resource<tensor<2xf32>>>
    "tf.AssignVariableOp"(%var_0, %cst_0) : (tensor<!tf_type.resource<tensor<2xf32>>>, tensor<2xf32>) -> ()
    %cst_1 = "tf.Const"() {value = dense<2.000000e+00> : tensor<3xf32>} : () -> tensor<3xf32>
    %var_1 = "tf.VarHandleOp"() {shared_name = "var_1"} : () -> tensor<!tf_type.resource<tensor<3xf32>>>