#include "tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.h"
#include "tensorflow/compiler/mlir/quantization/common/attrs_and_constraints.h"
#include "tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_config.h"
#include "tensorflow/compiler/mlir/quantization/common/quantization_lib/quantization_utils.h"
#include "tensorflow/compiler/mlir/quantization/stablehlo/passes/passes.h"

            #include <stdio.h>

            int main () {
                #if defined(__cplusplus)
                printf("C++ compiler used");
                #else
                printf("C compiler used");
                #endif
                return 0;
            }
        """
        and:
        buildFile << """
model {
    toolChains {
        ${toolChain.id} {
            target("alwaysFrench"){

# Building a trivial non-main package should run compiler the first time.
go build -x -gcflags=-m lib.go
stderr 'compile( |\.exe"?)'
stderr 'lib.go:2.* can inline f'

# ... but not the second, even though it still prints the compiler output.
go build -x -gcflags=-m lib.go
! stderr 'compile( |\.exe"?)'
stderr 'lib.go:2.* can inline f'

# Building a trivial main package should run the compiler and linker the first time.

#include "tensorflow/compiler/mlir/lite/common/tfl_pass_config.h"
#include "tensorflow/compiler/mlir/lite/debug/debug.h"
#include "tensorflow/compiler/mlir/lite/flatbuffer_export.h"
#include "tensorflow/compiler/mlir/lite/flatbuffer_import.h"
#include "tensorflow/compiler/mlir/lite/ir/tfl_ops.h"
#include "tensorflow/compiler/mlir/lite/schema/schema_generated.h"
#include "tensorflow/compiler/mlir/lite/tf_tfl_passes.h"

	if runtime.Compiler != "gc" {
		t.Skipf("gc-built packages not available (compiler = %s)", runtime.Compiler)
	}

	compileAndImportPkg(t, "issue15920")
}

func TestIssue20046(t *testing.T) {
	testenv.MustHaveGoBuild(t)

	// This package only handles gc export data.
	if runtime.Compiler != "gc" {
		t.Skipf("gc-built packages not available (compiler = %s)", runtime.Compiler)
	}

#include "stablehlo/dialect/StablehloOps.h"  // from @stablehlo
#include "tensorflow/compiler/mlir/init_mlir.h"
#include "tensorflow/compiler/mlir/lite/quantization/ir/QuantOps.h"
#include "tensorflow/compiler/mlir/tensorflow/dialect_registration.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_executor.h"
#include "tensorflow/compiler/mlir/tensorflow/ir/tf_ops.h"
#include "tensorflow/compiler/mlir/tensorflow/transforms/passes.h"

int main(int argc, char **argv) {

    }
}
// end::swift-dependency-mgmt[]

// tag::swift-compiler-options-all-variants[]
tasks.withType(SwiftCompile::class.java).configureEach {
    // Define a preprocessor macro for every binary
    macros.add("NDEBUG")

    // Define a compiler options
    compilerArgs.add("-O")
}
// end::swift-compiler-options-all-variants[]

// tag::swift-compiler-options-per-variants[]
application {

        PlatformToolProvider toolProvider = toolChain.select(targetPlatform);
        Compiler<? extends NativeCompileSpec> compiler = toolProvider.newCompiler(createCompileSpec().getClass());
        if (!(compiler instanceof VersionAwareCompiler)) {
            return null;
        }
        return ((VersionAwareCompiler) compiler).getVersion();
    }

#include "tensorflow/compiler/jit/pjrt_compile_util.h"

#include <vector>

#include "tensorflow/compiler/jit/device_compilation_profiler.h"
#include "tensorflow/compiler/jit/device_compiler.h"
#include "tensorflow/compiler/jit/xla_compile_util.h"
#include "tensorflow/compiler/jit/xla_compiler_options_util.h"
#include "tensorflow/compiler/jit/xla_platform_info.h"

#define TENSORFLOW_COMPILER_JIT_XLA_COMPILER_OPTIONS_UTIL_H_

#include "tensorflow/compiler/jit/device_compiler.h"
#include "tensorflow/compiler/jit/xla_platform_info.h"
#include "tensorflow/compiler/tf2xla/xla_compiler.h"
#include "xla/client/local_client.h"
#include "xla/pjrt/pjrt_client.h"

namespace tensorflow {

// Returns created options for the XLA compiler.
XlaCompiler::Options GenerateCompilerOptions(