for tok := s.Scan(); tok != scanner.EOF; tok = s.Scan() {
		fmt.Printf("%s: %s\n", s.Position, s.TokenText())
	}

	// Output:
	// default:1:1: %
	// default:1:2: var1
	// default:1:7: var2
	// default:1:11: %
	//
	// percent:1:1: %var1
	// percent:1:7: var2
	// percent:1:11: %
}

func Example_mode() {
	const src = `
    // Comment begins at column 5.

This line should not be included in the output.

/*

  // 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} {

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]+}}(

    tf_executor.graph {
      %out, %ctl = tf_executor.island wraps "tf.VarHandleOp"() {shared_name = "var_0"} : () -> tensor<!tf_type.resource<tensor<2xf32>>>
      %out_0, %ctl_0 = tf_executor.island wraps "tf.ReadVariableOp"(%out) : (tensor<!tf_type.resource<tensor<2xf32>>>) -> tensor<2xf32>
      %out_1, %ctl_1 = tf_executor.island wraps "tf.Const"() {value = dense<"var_0"> : tensor<1x!tf_type.string>} : () -> tensor<1x!tf_type.string>

module {
// CHECK-LABEL: @serving_default
  func.func @serving_default() -> (tensor<*xi32>) {
    // expected-remark@below {{device: "", container: "", shared_name: "var_0", is_potentially_written: false}}
    %0 = "tf.VarHandleOp"() {shared_name = "var_0"} : () -> tensor<!tf_type.resource<tensor<2xi32>>>
    %1 = "tf.BatchFunction"(%0) {
        f = @called_by_batch_func,
        operandSegmentSizes = array<i32: 1, 0>,

        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;
    }

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package main

import (
	"testshared/issue47837/a"
)

func main() {
	var vara a.ImplA
	a.TheFuncWithArgA(&vara)

        if (!(o instanceof WildcardTypeWrapper)) {
            return false;
        } else {
            WildcardTypeWrapper var2 = (WildcardTypeWrapper) o;
            return Arrays.equals(this.lowerBounds, var2.lowerBounds) && Arrays.equals(this.upperBounds, var2.upperBounds);
        }
    }

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

    @Override

import play.Logger;

import static org.codelibs.elasticsearch.runner.ElasticsearchClusterRunner.newConfigs;

public class Global extends GlobalSettings {
    @Override
    public void onStart(Application var1) {
        Logger.info("Start Elasticsearch cluster.");
        esRun();
        Logger.info("Setup suggest... wait 1min");
        createComponents();
        Logger.info("Create content index.");

får inte göra fler än ",groupCheckedEnd:" val",badCreditCard:"Du har angett ett felaktigt kreditkortsnummer",badCVV:"Du har angett ett felaktigt CVV-nummer",wrongFileDim:"Otillåten bildstorlek,",imageTooTall:"bilden får inte vara högre än",imageTooWide:"bilden får inte vara bredare än",imageTooSmall:"bilden är för liten",genericBadInputValue:"The input value can be accepted",min:"minst",max:"max",imageRatioNotAccepted:"Bildens dimensioner (förhållandet mellan höjd och längd) kan inte accepteras"}})}(a,window)});...