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.");

    if (use_resource) {
      Output var =
          ops::VarHandleOp(scope.WithOpName("var"), DataType::DT_FLOAT, {});
      read_var = ops::ReadVariableOp(
          scope.WithOpName("var/Read/ReadVariableOp"), var, DataType::DT_FLOAT);
      auto assign = ops::AssignVariableOp(scope.WithOpName("assign"), var, a);
      Output var_1 =
          ops::VarHandleOp(scope.WithOpName("var_1"), DataType::DT_FLOAT, {});

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)});...

    %0 = "tf.VarHandleOp"() {_class = ["loc:@dense/kernel"], allowed_devices = [], container = "", device = "/job:worker/replica:0/task:1/device:CPU:0", shared_name = "var1"} : () -> tensor<!tf_type.resource<tensor<100x50xf32>>>
    %1 = "tf.ReadVariableOp"(%0) {device = ""} : (tensor<!tf_type.resource<tensor<100x50xf32>>>) -> tensor<100x50xf32>
    func.return %1 : tensor<100x50xf32>
  }

@REM CFG_OPTS  - JVM options (optional)
@REM Configuration:
@REM activatorconfig.txt found in the ACTIVATOR_HOME or ACTIVATOR_HOME/ACTIVATOR_VERSION
@setlocal enabledelayedexpansion

@echo off

set "var1=%~1"
if defined var1 (
  if "%var1%"=="help" (
    echo.
    echo Usage activator [options] [command]
    echo.
    echo Commands:
    echo ui                 Start the Activator UI

		// stackmap for this function. It is likely that we are looking
		// at the function prologue, assume so and hope for the best.
		pcdata = 0
	}

	// Local variables.
	size := frame.varp - frame.sp
	var minsize uintptr
	switch goarch.ArchFamily {
	case goarch.ARM64:
		minsize = sys.StackAlign
	default:
		minsize = sys.MinFrameSize
	}
	if size > minsize {
		stackid := pcdata

loop body inine):

```mlir
  %var0 = ...
  %var1 = ...
  tf.while (..., %var0, %var1) {
    tf_device.replicate ([%var0, %var1] as %rvar) {
      %compile:2 = "tf._TPUCompileMlir"()
      tf.TPUExecuteAndUpdateVariablesOp(%rvar, compile#1)
    }
  }
```

This pass will transform it into

```mlir
  %var0 = ...
  %var1 = ...
  %state_var0 = ...
  %state_var1 = ...

  fn.Run();
  EXPECT_EQ(fn.result0(0, 0), 23);
  EXPECT_EQ(fn.result0(1, 0), 65);
  EXPECT_EQ(fn.var_x(), 65);

  EXPECT_EQ(fn.var_x_data(), &x);
  EXPECT_EQ(x, 65);
  fn.Run();
  EXPECT_EQ(fn.result0(0, 0), 65);
  EXPECT_EQ(fn.result0(1, 0), 107);
  EXPECT_EQ(fn.var_x(), 107);
}

TEST(TFCompileTest, VariableSequentialUpdates) {
  Eigen::ThreadPool tp(1);

      %out_0, %ctl_0 = tf_executor.island wraps "tf.Const"() {value = dense<"var_0"> : tensor<1x!tf_type.string>} : () -> tensor<1x!tf_type.string>
      %out_1, %ctl_1 = tf_executor.island wraps "tf.VarHandleOp"() {container = "", shared_name = "var_0", device = "/device:CPU:0"} : () -> tensor<!tf_type.resource<tensor<2xf32>>>

        doSystemUninstall();
        if (shutdownHook != null) {
            try {
                Runtime.getRuntime().removeShutdownHook(shutdownHook);
            } catch (IllegalStateException var3) {
                // ignore
            }
        }
    }

    private static void doSystemUninstall() {
        try {
            AnsiConsole.systemUninstall();
        } finally {