entities.put("larr", "\u2190");
        entities.put("uarr", "\u2191");
        entities.put("rarr", "\u2192");
        entities.put("darr", "\u2193");
        entities.put("harr", "\u2194");
        entities.put("crarr", "\u21b5");
        entities.put("lArr", "\u21d0");
        entities.put("uArr", "\u21d1");
        entities.put("rArr", "\u21d2");
        entities.put("dArr", "\u21d3");

import static org.testng.Assert.*;

public class ParameterizedTest {

    @Test(dataProvider = "1")
	public void p1(String var1, String var2) {
        System.out.println("var1 is: " + var1);
        System.err.println("var2 is: " + var2);
       	assertEquals(var1, "1");
	}

	@DataProvider(name = "1")
	public Object[][] provider1() {
		return new Object[][] {
		   {"1", "2"},
		   {"3", "4"}

from tensorflow.compiler.mlir.tensorflow.tests.tf_saved_model import common_v1

# CHECK: "tf_saved_model.global_tensor"() <{is_mutable, sym_name = "[[VAR0:[a-zA-Z_0-9]+]]", type = tensor<5x3xf32>, value = {{.*}} : tensor<5x3xf32>}> : () -> ()
# CHECK: "tf_saved_model.global_tensor"() <{is_mutable, sym_name = "[[VAR1:[a-zA-Z_0-9]+]]", type = tensor<3x5xf32>, value = {{.*}} : tensor<3x5xf32>}> : () -> ()
# CHECK:      func {{@[a-zA-Z_0-9]+}}(

        compile {
            attributes.attribute(buildType, 'debug')
            outgoing {
                variants {
                    var1 {
                        artifact oneJar
                        attributes.attribute(flavor, 'one')
                    }
                    var2 {
                        artifact twoJar
                        attributes.attribute(flavor, 'two')
                    }
                }

	"real":     "\u211C",
	"trade":    "\u2122",
	"alefsym":  "\u2135",
	"larr":     "\u2190",
	"uarr":     "\u2191",
	"rarr":     "\u2192",
	"darr":     "\u2193",
	"harr":     "\u2194",
	"crarr":    "\u21B5",
	"lArr":     "\u21D0",
	"uArr":     "\u21D1",
	"rArr":     "\u21D2",
	"dArr":     "\u21D3",
	"hArr":     "\u21D4",
	"forall":   "\u2200",
	"part":     "\u2202",

type DurationVar struct {
	Var
}

var (
	allVars = make(map[string]Var)
	mutex   sync.Mutex
)

// VarDescriptions returns a description of this process' environment variables, sorted by name.
func VarDescriptions() []Var {
	mutex.Lock()
	sorted := make([]Var, 0, len(allVars))
	for _, v := range allVars {
		sorted = append(sorted, v)
	}
	mutex.Unlock()

	sort.Slice(sorted, func(i, j int) bool {

    // CHECK: %[[VAR0:.*]] = "tf.VarHandleOp"()
    %0 = "tf.VarHandleOp"() {container = "", shared_name = "var0"} : () -> tensor<!tf_type.resource<tensor<!tf_type.string>>>

    // CHECK: "tf.AssignVariableOp"(%[[VAR0]], %[[ASSET0]])
    "tf.AssignVariableOp"(%0, %arg0) : (tensor<!tf_type.resource<tensor<!tf_type.string>>>, tensor<!tf_type.string>) -> ()

    // CHECK: %[[VAR1:.*]] = "tf.VarHandleOp"()

		Children[0]
}

type UArr struct {
	Children [2]J
}

func (u *UArr) Child(n int) J { return u.Children[n] }

func ChainAssertArrayIndex(u *UArr) J {
	return u.
		Children[0].(*UArr).
		Children[0].(*UArr).
		Children[0].(*UArr).
		Children[0].(*UArr).
		Children[0].(*UArr).
		Children[0].(*UArr).
		Children[0].(*UArr).
		Children[0].(*UArr).
		Children[0].(*UArr).

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_),

  // CHECK-SAME: tf_saved_model.initializer_type = "restore_op"
  // CHECK: %[[VAR:.*]] = "tf.VarHandleOp"()
  // CHECK-SAME: "var1"
  // CHECK: %[[CST:.*]] = arith.constant dense<> : tensor<0xf32>
  // CHECK: "tf.AssignVariableOp"(%[[VAR]], %[[CST]])
}


// -----

// Test invalid tensor
// expected-error@below{{Can't find variable var5 in session}}
module attributes {tf_saved_model.semantics, tf_saved_model.under_construction} {