}
			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`)
	}

		}

		if withValidate {
			if _, err := s.ValidateConfig(*cfg); err != nil {
				return nil, nil, fmt.Errorf("configuration is invalid: %v", err)
			}
		}

		varr = append(varr, *cfg)
	}

	return varr, others, nil
}

// ParseInputs reads multiple documents from `kubectl` output and checks with
// the schema. It also returns the list of unrecognized kinds as the second
// response.
//

  // 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) {

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]+}}(

    // 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} {

Pengyuan Bian <******@****.***> 1625172474 -0700

        if (!(o instanceof TypeVariableTypeWrapper)) {
            return false;
        } else {
            TypeVariableTypeWrapper var2 = (TypeVariableTypeWrapper) o;
            return Objects.equal(this.getName(), var2.getName())
                && Arrays.equals(this.bounds, var2.bounds);
        }
    }

    @Override
    public int hashCode() {
        return hashCode;
    }