//  BOOST_VERSION / 100000 is the major version

#define BOOST_VERSION 105500

//
//  BOOST_LIB_VERSION must be defined to be the same as BOOST_VERSION
//  but as a *string* in the form "x_y[_z]" where x is the major version
//  number, y is the minor version number, and z is the patch level if not 0.
//  This is used by <config/auto_link.hpp> to select which library version to link to.

#define BOOST_LIB_VERSION "1_55"

include("sub-project-b")
include("sub-project-c")
----
<1> Define the project name.
<2> Add subprojects.
=====

[.multi-language-sample]
=====
.settings.gradle
[source,groovy]
----
rootProject.name = 'root-project'   // <1>

include('sub-project-a')            // <2>
include('sub-project-b')
include('sub-project-c')
----
<1> Define the project name.
<2> Add subprojects.
=====
====

include('sub-project-b')
include('sub-project-c')
----
<1> Define the location of plugins.
<2> Apply settings plugins.
<3> Define the root project name.
<4> Define dependency resolution strategies.
<5> Add subprojects to the build.
=====
====

=== 1. Define the location of plugins

#ifndef _GNU_SOURCE // pthread_getattr_np
#define _GNU_SOURCE
#endif

#include <pthread.h>
#include "libcgo.h"

void
x_cgo_getstackbound(uintptr bounds[2])
{
	pthread_attr_t attr;
	void *addr;
	size_t size;

	// Needed before pthread_getattr_np, too, since before glibc 2.32
	// it did not call pthread_attr_init in all cases (see #65625).
	pthread_attr_init(&attr);

//
// The tf_library bazel macro in tfcompile.bzl performs the token rewriting, and
// generates a cc_binary rule for you.

// These macros must be defined before eigen files are included.
#define EIGEN_USE_THREADS
#define EIGEN_USE_CUSTOM_THREAD_POOL

// clang-format off
#include "{{TFCOMPILE_HEADER}}"  // NOLINT(whitespace/braces)
// clang-format on

#include "tensorflow/compiler/aot/benchmark.h"

#include "tensorflow/tools/proto_splitter/cc/max_size.h"
// TODO(b/291933687), TODO(b/291001524)
#if !defined(PLATFORM_WINDOWS) && !defined(__APPLE__)
#include "tensorflow/tools/proto_splitter/cc/saved_model_splitter.h"
#include "tensorflow/tools/proto_splitter/merge.h"
#endif
#define IS_OSS false
namespace tensorflow {
namespace image_format {

absl::Status ReadSavedModel(const std::string& file_prefix,

}

func (ServiceCIDRList) SwaggerDoc() map[string]string {
	return map_ServiceCIDRList
}

var map_ServiceCIDRSpec = map[string]string{
	"":      "ServiceCIDRSpec define the CIDRs the user wants to use for allocating ClusterIPs for Services.",

Many plugins start as a script plugin coded in a build script.
This offers an easy way to rapidly prototype and experiment when building a plugin.
Let's take a look at an example:

.build.gradle.kts
[source,kotlin]
----
// Define a task
abstract class CreateFileTask : DefaultTask() {                                     // <1>
    @get:Input
    abstract val fileText: Property<String>                                         // <2>

    @Input

	return Token{ScanToken: token, text: text}
}

func (l Token) String() string {
	return l.text
}

// A Macro represents the definition of a #defined macro.
type Macro struct {
	name   string   // The #define name.
	args   []string // Formal arguments.
	tokens []Token  // Body of macro.
}

// Tokenize turns a string into a list of Tokens; used to parse the -D flag and in tests.

// Implementation detail for the unified execution APIs for Eager and tracing
// backends (graph/MLIR).
//
// This defines a set of abstract classes that are intended to provide the
// functionality of the opaque C types exposed in the public APIs defined in the
// `c_api_unified_experimental.h` header.
// =============================================================================