while (!shutdown.get()) {
                interruptee.interrupt();
                Thread.yield();
              }
            }
          });
      this.shutdown = shutdown;
      start();
    }

    void shutdown() {
      shutdown.set(true);
      while (this.isAlive()) {
        Thread.yield();
      }
    }
  }

  void assertWrapsInterruptedException(RuntimeException e) {

    "tfl.yield"(%test) : (tensor<i1>) -> ()
  },  {
  ^bb0(%arg2: tensor<i32>, %arg3: tensor<f32>):
    %cst = arith.constant dense<22.0> : tensor<f32>
    %stride = arith.constant dense<1> : tensor<i32>
    %inc = tfl.add %arg2, %stride {fused_activation_function = "NONE"} : tensor<i32>
    "tfl.yield"(%inc, %cst) : (tensor<i32>, tensor<f32>) -> ()

/**
 * Mechanism by which the scan plugin registers for notifications.
 * <p>
 * One instance of this exists per build tree.
 * Only one listener may register.
 * Subsequent attempts yield exceptions.
 *
 * @since 4.0
 */
@UsedByScanPlugin("obtained from the root build's root project's service registry")
@ServiceScope(Scope.CrossBuildSession.class)

              while (!shutdown.get()) {
                interruptee.interrupt();
                Thread.yield();
              }
            }
          });
      this.shutdown = shutdown;
      start();
    }

    void shutdown() {
      shutdown.set(true);
      while (this.isAlive()) {
        Thread.yield();
      }
    }
  }

  void assertWrapsInterruptedException(RuntimeException e) {

  for (Value value : extern_values) {
    auto arg = block.addArgument(value.getType(), loc);
    replaceAllUsesInRegionWith(value, arg, func_region);
    new_args.push_back(arg);
  }

  // Replace yield op with return.
  Operation* yield_op = outlined_func.getBody().front().getTerminator();
  OpBuilder b(yield_op);
  llvm::SmallVector<Value, 4> args;
  auto loop_carried_yield_operands =

      %result_2 = "tf.StatefulPartitionedCall"() {config = "", config_proto = "", executor_type = "", f = @inline_into_island_multi_block_callee} : () -> tensor<2xi32>

      // CHECK-NEXT: tf_executor.yield %[[CST]], %[[CALL]]
      tf_executor.yield %result, %result_2 : tensor<2xi32>, tensor<2xi32>
    }
    tf_executor.fetch %1#1, %1#1 : tensor<2xi32>, tensor<2xi32>
  }
  func.return %0#1, %0#1 : tensor<2xi32>, tensor<2xi32>
}

    %1 = func.call @cond(%arg2, %arg3) : (tensor<*xi32>, tensor<*xf32>) -> tensor<i1>
    "tfl.yield"(%1) : (tensor<i1>) -> ()
  },  {
  ^bb0(%arg2: tensor<*xi32>, %arg3: tensor<*xf32>):
    %1:2 = func.call @body(%arg2, %arg3) : (tensor<*xi32>, tensor<*xf32>) -> (tensor<*xi32>, tensor<*xf32>)
    "tfl.yield"(%1#0, %1#1) : (tensor<*xi32>, tensor<*xf32>) -> ()

	// at this moment, and if not, yield. This is to catch other CNIs which might have mutated the file between
	// the (theoretical) window after we initially install/write, but before we actually start the filewatch.
	if err := checkValidCNIConfig(in.cfg, in.cniConfigFilepath); err != nil {
		return nil
	}

	// If a file we are watching has a change event, yield and let caller check validity
	select {

  // CHECK-NEXT:   "tf.Yield"(%arg1) : (tensor<1xi8>) -> ()
  // CHECK-NEXT:   }, {
  // CHECK-NEXT:   "tf.Yield"(%arg2) : (tensor<1xi8>) -> ()
  // CHECK-NEXT:  }) : (tensor<i1>) -> tensor<1xi8>
  // CHECK-NEXT: return %0 : tensor<1xi8>
  %0 = "tf.IfRegion"(%arg0) <{is_stateless = false}> ({
    "tf.Yield"(%arg1) : (tensor<1x!tf_type.qint8>) -> ()
    }, {
    "tf.Yield"(%arg2) : (tensor<1x!tf_type.qint8>) -> ()

	if verbose {
		println("did", "%[3]s", "%[4]s", len(all))
	}
}
`

var mainCode = `

func main() {
	if verbose {
		println("main")
	}
	%s
}

func yield2(yield func(int)bool) { _ = yield(1) && yield(2) }
var slice2 = []int{1,2}

type output struct {
	ret int
	trace []any
}

func (o *output) log(x any) {
	o.trace = append(o.trace, x)
}