%cst_0 = "tf.Const"() {value = dense<1.000000e+00> : tensor<2xf32>} : () -> tensor<2xf32>
    %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>) -> ()
    return
  }
  // All three ops should have been removed.

// CHECK-LABEL: module
module attributes {tf_saved_model.semantics} {
  // CHECK: ml_program.global {{.*}} @vars.v
  // CHECK: ml_program.global {{.*}} @vars.bar
  "tf_saved_model.global_tensor"() { is_mutable, sym_name = "v", type = tensor<10xf32>, value = dense<[0.,1.,2.,3.,4.,5.,6.,7.,8.,9.]> : tensor<10xf32> } : () -> ()

func (api objectAPIHandlers) GetBucketWebsiteHandler(w http.ResponseWriter, r *http.Request) {
	ctx := newContext(r, w, "GetBucketWebsite")

	defer logger.AuditLog(ctx, w, r, mustGetClaimsFromToken(r))

	vars := mux.Vars(r)
	bucket := vars["bucket"]

	objAPI := api.ObjectAPI()
	if objAPI == nil {
		writeErrorResponse(ctx, w, errorCodes.ToAPIErr(ErrServerNotInitialized), r.URL)
		return
	}

    %cst_0 = "tf.Const"() {value = dense<1.000000e+00> : tensor<2xf32>} : () -> tensor<2xf32>
    %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>) -> ()
    return
  }

// CHECK: func.func @init_func_restore_op

VariableInfo::VariableInfo(
    int index, absl::string_view name, Var* var,
    const std::optional<ManagedStackTrace>& definition_stack_trace)
    : index_(index),
      name_(name),
      var_(var),
      definition_stack_trace_(definition_stack_trace) {}

VariableInfo::VariableInfo(VariableInfo&& other)
    : index_(other.index_),
      var_(other.var_),
      definition_stack_trace_(other.definition_stack_trace_),

func (lv *liveness) emitStackObjects() *obj.LSym {
	var vars []*ir.Name
	for _, n := range lv.fn.Dcl {
		if shouldTrack(n) && n.Addrtaken() && n.Esc() != ir.EscHeap {
			vars = append(vars, n)
		}
	}
	if len(vars) == 0 {
		return nil
	}

	// Sort variables from lowest to highest address.
	sort.Slice(vars, func(i, j int) bool { return vars[i].FrameOffset() < vars[j].FrameOffset() })

      tf_saved_model.initializer_type = "restore_op"} {
    %cst_0 = "tf.Const"() {value = dense<1.000000e+00> : tensor<2xf32>} : () -> tensor<2xf32>
    %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>) -> ()
    return
  }
// Initializer function is untouched.

			}
			assert.Equal(t, &tt.cfg, got)
		})
	}
}

func TestParseInputs(t *testing.T) {
	if varr, _, err := ParseInputs(""); len(varr) > 0 || err != nil {
		t.Errorf(`ParseInput("") => got %v, %v, want nil, nil`, varr, err)
	}
	if _, _, err := ParseInputs("a"); err == nil {
		t.Error(`ParseInput("a") => got no error`)
	}

		}
		appendWalkStmt(init, ir.NewAssignStmt(base.Pos, var_, r))

		var_ = ir.NewStarExpr(base.Pos, var_)
		var_ = typecheck.AssignExpr(var_)
		anylit(n.X, var_, init)

	case ir.OSTRUCTLIT, ir.OARRAYLIT:
		n := n.(*ir.CompLitExpr)
		if !t.IsStruct() && !t.IsArray() {
			base.Fatalf("anylit: not struct/array")
		}

		if isSimpleName(var_) && len(n.List) > 4 {
			// lay out static data

	}

	if vars[2].Name != "TESTXYZ3" {
		t.Errorf("Expecting TESTXYZ3, got %s", vars[0].Name)
	}
	if vars[2].Description != "A bool" {
		t.Errorf("Expected 'A bool', got '%s'", vars[0].Description)
	}

	if vars[3].Name != "TESTXYZ4" {
		t.Errorf("Expecting TESTXYZ4, got %s", vars[0].Name)
	}
	if vars[3].Description != "A float" {