// Can't print a function.
	Printf("%d", someFunction) // ERROR "Printf format %d arg someFunction is a func value, not called"
	Printf("%v", someFunction) // ERROR "Printf format %v arg someFunction is a func value, not called"
	Println(someFunction)      // ERROR "Println arg someFunction is a func value, not called"
	Printf("%p", someFunction) // ok: maybe someone wants to see the pointer
	Printf("%T", someFunction) // ok: maybe someone wants to see the type

		break loop
	}
}

// This comment didn't appear in generated go code.
func haha() {
	// Needed for cover to add counter increment here.
	_ = 42
}

// Some someFunction.
//
//go:nosplit
func someFunction() {

  private static final List<String> SOME_STRING_LIST = asList("1", "2", "3", "4");

  private static final Function<Number, String> SOME_FUNCTION = new SomeFunction();

  private static class SomeFunction implements Function<Number, String>, Serializable {
    @Override
    public String apply(Number n) {
      return String.valueOf(n);
    }

  private static final List<String> SOME_STRING_LIST = asList("1", "2", "3", "4");

  private static final Function<Number, String> SOME_FUNCTION = new SomeFunction();

  private static class SomeFunction implements Function<Number, String>, Serializable {
    @Override
    public String apply(Number n) {
      return String.valueOf(n);
    }

	file, err = os.ReadFile(coverOutput)
	if err != nil {
		t.Fatal(err)
	}
	// compiler directive must appear right next to function declaration.
	if got, err := regexp.MatchString(".*\n//go:nosplit\nfunc someFunction().*", string(file)); err != nil || !got {
		t.Error("misplaced compiler directive")
	}
	// "go:linkname" compiler directive should be present.

      %2:2 = "tf.IdentityN"(%1#0, %1#1) : (tensor<i32>, tensor<f32>) -> (tensor<i32>, tensor<f32>) loc("identity@some_function")
      tf_executor.yield %2#0, %2#1 : tensor<i32>, tensor<f32> loc("identity@some_function")
    } loc("identity@some_function")
    tf_executor.fetch
  }
  func.return

// CHECK-NEXT:      "tf_executor.island"() ({
// CHECK-NEXT:        "tf.Identity"(%{{.*}}) : (tensor<f32>) -> tensor<f32> loc("identity@some_function")
// CHECK-NEXT:        "tf_executor.yield"(%{{.*}}) : (tensor<f32>) -> () loc("identity@some_function")
// CHECK-NEXT:      }) : () -> (tensor<f32>, !tf_executor.control) loc("identity@some_function")
// CHECK-NEXT:      "tf_executor.fetch"(%{{.*}}) : (tensor<f32>) -> () loc(unknown)

import tensorflow.compat.v2 as tf
from tensorflow.compiler.mlir.tensorflow.tests.tf_saved_model import common


class TestModule(tf.Module):

  @tf.function(input_signature=[tf.TensorSpec([], tf.float32)])
  def some_function(self, x):
    return self.callee(x)

  # CHECK: While importing SavedModel function 'callee': in input signature:
  # CHECK-SAME: Unhandled structured value kind {{.*}} at index path: <value>.1.foo
  @tf.function

  #
  # CHECK:      func {{@[a-zA-Z_0-9]+}}(%arg0: tensor<f32> {{.*}}) -> (tensor<f32> {{.*}})
  # CHECK-SAME: attributes {{.*}} tf_saved_model.exported_names = ["some_function"]
  @tf.function(input_signature=[tf.TensorSpec([], tf.float32)])
  def some_function(self, x):
    return x


if __name__ == '__main__':

  signature_def = tf.saved_model.signature_def_utils.build_signature_def(
      inputs=None, outputs={'s': tensor_info_s}, method_name='some_function')
  signature_def2 = tf.saved_model.signature_def_utils.build_signature_def(
      inputs=None, outputs={'t': tensor_info_t}, method_name='some_function')

  # Create two signatures that share the same variable.
  return {'key': signature_def, 'key2': signature_def2}, None, None