signature {
      name: "foo3"
    }
  }
  function {
    signature {
      name: "foo4"
    }
  }
  function {
    signature {
      name: "foo5"
    }
  }
  function {
    signature {
      name: "foo6"
    }
  }
  function {
    signature {
      name: "foo7"
    }
  }
  function {
    signature {
      name: "foo8"
    }
  }
  function {
    signature {

        lateinit var value: Any
        val lambda: Function1<Any, Unit> = { value = it }
        return ConfigureLambdaHandler.ValueCaptor(lambda, lazy { value })
    }

    private
    fun isConfigureLambdaType(maybeLambdaType: KType) = maybeLambdaType.isSubtypeOf(typeOf<Function1<*, Unit>>())

    private

// that is compatible with the given device_type. The MLIR should be in the TF
// Executor Dialect for graph nodes and edges or TF Functional. It will convert
// to TF Functional internally. Individual Op inside a node should be the
// Tensorflow Dialect. The output MLIR is in the TF Functional Dialect.  The
// input MLIR should not have infeed and outfeed ops, which are unsupported via
// this API. Returns OkStatus if passed, otherwise an error.

#ifndef HEADER_${generatedId}_H
#define HEADER_${generatedId}_H

<%
includes.each { include ->
    out.println "#include \"$include\""
}
%>

int function_${generatedId}();

							User:       "",
							SecretFile: "",
							SecretRef:  nil,
							ReadOnly:   false,
						},
					},
				},
			},
			expected: []string{
				`spec.cephfs: deprecated in v1.28, non-functional in v1.31+`,
			},
		},
		{
			name: "PV PhotonPersistentDisk deprecation warning",
			template: &api.PersistentVolume{
				Spec: api.PersistentVolumeSpec{

KaDataFlowExitPointSnapshot:
  defaultExpressionInfo = DefaultExpressionInfo:
    expression = fun(n: Int): Int {
            return n + 1
        }
    type = kotlin.Function1<kotlin.Int, kotlin.Int>
  hasEscapingJumps = false
  hasJumps = false
  hasMultipleJumpKinds = false
  hasMultipleJumpTargets = false
  jumpExpressions = []
  returnValueType = null
  valuedReturnExpressions = []

#include <iostream>
#include "${generatedId}/header.h"

int function_${generatedId}() {
    return 0;

    // functional form, all such external values need to become function
    // arguments of the outlined functions, and become pass through values in
    // the outlined body function. So when outlining the while body, in addition
    // to the region arguments, all these external references need to be added
    // as function arguments.
    llvm::SmallVector<Value, 4> extern_values =

[source,groovy]
----
include::{snippetsPath}/developingPlugins/testingPlugins/groovy/url-verifier-plugin/src/integrationTest/groovy/org/myorg/http/DefaultHttpCallerIntegrationTest.groovy[]
----

[[functional-tests]]
=== Implementing functional tests

Functional tests verify the correctness of the plugin end-to-end.
In practice, this means applying, configuring, and executing the functionality of the plugin implementation.

// license that can be found in the LICENSE file.

// The inliner would erroneously scan the caller function's body for
// reassignments *before* substituting the inlined function call body,
// which could cause false positives in deciding when it's safe to
// transitively inline indirect function calls.

package main

func main() {
	bug1()
	bug2(fail)
}

func bug1() {
	fn := fail
	fn = pass