code << [
                "id('noop')",
                "id 'noop'",
                "id('noop').version('bar')",
                "id 'noop' version 'bar'",
                "id('noop').\nversion 'bar'",
                "id('java');id('noop')",
                "id('java')\nid('noop')",
                "id('noop').version('bar');id('java')",
                "id('noop').version('bar')\nid('java')",

// Checks that 2 `NoOp`s having control dependencies to each of the initializer
// functions are created.
// CHECK-DAG: %[[CTL_2:.*]] = tf_executor.island(%[[CTL_0]]) wraps "tf.NoOp"()
// CHECK-DAG: %[[CTL_3:.*]] = tf_executor.island(%[[CTL_1]]) wraps "tf.NoOp"()

// CHECK: tf_executor.fetch
// CHECK-SAME: !tf_executor.control, !tf_executor.control

  "tf_saved_model.session_initializer"() {initializers = [@NoOp]} : () -> ()
  func.func @NoOp() attributes {tf_saved_model.exported_names = ["__tf_saved_model_session_initializer_NoOp"]} {
    func.return
  }
// CHECK: func @NoOp() attributes {tf_saved_model.exported_names = ["__tf_saved_model_session_initializer_NoOp"]}

            }
        """)
        withFile("buildSrc/src/main/kotlin/my-plugin.gradle.kts", """
            extensions.create<MyExtension>("my")
            tasks.register("noop")
        """)
        withBuildScript("""
            plugins { id("my-plugin") }

            extensions.getByType(MyExtension::class).some("api.get")

// This pass moves all ops from initializer functions to the main function. A
// new `tf.NoOp` that has control dependency to the initializer function for
// non-variable resources will be created. The control output of the new
// `tf.NoOp` will be merged into the main function's `FetchOp`.
class MergeInitializerFunctionOpsToMainPass
    : public PassWrapper<MergeInitializerFunctionOpsToMainPass,

        exeBinary.libs >> [deps1, deps2]

        then:
        targetBinary.includePaths == [file1, file2, file3] as Set
    }

    def "reflects source files of binary"() {
        def sourceSets = new DefaultDomainObjectSet<LanguageSourceSet>(LanguageSourceSet, CollectionCallbackActionDecorator.NOOP)
        def sourcefile1 = new File('file1')

    %control_14 = tf_executor.island(%control_13) wraps "tf.NoOp"() : () -> ()
    %outputs_15, %control_16 = tf_executor.island wraps "tf.VarHandleOp"() {container = "", shared_name = "MatMul/b_0"} : () -> tensor<!tf_type.resource<tensor<20x4096xf32>>>

// CHECK:   %[[ISLAND1:.*]] = tf_executor.island(%[[ASSIGN1_CONTROL]], %[[ASSIGN2_CONTROL]]) wraps "tf.NoOp"()
// CHECK:   tf_executor.fetch %[[ISLAND1]] : !tf_executor.control
// CHECK: }


// Checks empty tf_executor.island ops are populated with tf.NoOp/tf.Identity/
// tf.IdentityN ops depending on the number of data results the
// tf_executor.island has.

        tf_executor.graph {
          %control_0 = tf_executor.island wraps "tf.NoOp"() : () -> ()
        }
        return
      }

      func.func private @function_2() -> () attributes {tf._original_func_name = "__func_2"} {
        tf_executor.graph {
          %control_0 = tf_executor.island wraps "tf.NoOp"() : () -> ()
        }
        return
      }

      %control_14 = tf_executor.island wraps "tf.NoOp"() {_pivot_for_cluster = "cluster_sample_sequence", device = ""} : () -> ()
      %control_15 = tf_executor.island(%control_14) wraps "tf.NoOp"() {_has_manual_control_dependencies = true, _tpu_replicate = "cluster_sample_sequence", device = ""} : () -> ()
      %control_16 = tf_executor.island(%control_15) wraps "tf.NoOp"() {device = ""} : () -> ()