def "displays information about conflicting modules when failOnVersionConflict is used"() {
        given:
        mavenRepo.module("org", "leaf1").publish()
        mavenRepo.module("org", "leaf2").publish()
        mavenRepo.module("org", "leaf2", "1.5").publish()
        mavenRepo.module("org", "leaf2", "2.5").publish()
        mavenRepo.module("org", "leaf3").publish()
        mavenRepo.module("org", "leaf4").publish()

// module and then dependencies sorted by module path.
// A pattern containing "..." specifies the active modules whose
// module paths match the pattern.
// A query of the form path@version specifies the result of that query,
// which is not limited to active modules.
// See 'go help modules' for more about module queries.
//
// The template function "module" takes a single string argument

      const GraphImportConfig& specs, mlir::ModuleOp module,
      std::unordered_map<std::string, std::string>* tf_name_to_mlir_name,
      NameUniquifier* function_name_uniquifier,
      llvm::StringRef function_name_for_debug_info = "")
      : builder_(module.getContext()),
        module_(module),
        context_(module.getContext()),
        tf_name_to_mlir_name_(tf_name_to_mlir_name),

};

ShapeInference::ShapeInference(int64_t graph_version, ModuleOp module,
                               bool propagate_caller_callee_constants,
                               ArrayRef<TypeID> ops_to_skip)
    : tf_dialect_(module->getContext()->getLoadedDialect<TensorFlowDialect>()),
      symbol_users_(symbol_table_, module),
      graph_version_(graph_version),

def XlaCallModuleSerializationPass
    : Pass<"tf-xla-call-module-serialization", "ModuleOp"> {
  let summary = "Serializes StableHLO functions from top-level module into `tf.XlaCallModule`'s `module` attribute";

  let description = [{
    This pass collects StableHLO functions referenced from `tf.XlaCallModule`'s
    `_entry_function` attribute into a module, serializes the module into MLIR

  FuncOp main_fn = module.lookupSymbol<FuncOp>("main");
  if (!main_fn) {
    int entry_func_count = 0;
    for (auto fn : module.getOps<FuncOp>()) {
      auto attrs = fn->getAttrOfType<mlir::DictionaryAttr>("tf.entry_function");
      if (attrs && !attrs.empty()) {
        ++entry_func_count;
      }
    }

    // Verify that module has a least one enrty function.

	if cfg.BuildTrimpath {
		// When -trimpath is used with a package built from the module cache,
		// its debug information refers to the module path and version
		// instead of the directory.
		if p.Module != nil {
			fmt.Fprintf(h, "module %s@%s\n", p.Module.Path, p.Module.Version)
		}
	} else if p.Goroot {
		// The Go compiler always hides the exact value of $GOROOT

			klog.V(vLevel).InfoS("Image garbage collection succeeded")
		}
	}, ImageGCPeriod, wait.NeverStop)
}

// initializeModules will initialize internal modules that do not require the container runtime to be up.
// Note that the modules here must not depend on modules that are not initialized here.
func (kl *Kubelet) initializeModules() error {
	// Prometheus metrics.
	metrics.Register(
		collectors.NewVolumeStatsCollector(kl),

// RUN: tf-opt %s -split-input-file -verify-diagnostics -tf-extract-outside-compilation | FILECHECK_OPTS="" FileCheck %s

module attributes {tf.versions = {producer = 888 : i32}, tf.devices = ["/job:worker/replica:0/task:0/device:CPU:0", "/job:worker/replica:0/task:0/device:TPU_SYSTEM:0", "/job:worker/replica:0/task:0/device:TPU:0"]} {
  // Tests that TPU cluster with no outside compilation does not generate parallel_execute.

  // CHECK-LABEL: func @no_outside_compilation

	return
}

func GetModuleFileName(module Handle, filename *uint16, size uint32) (n uint32, err error) {
	r0, _, e1 := syscall.Syscall(procGetModuleFileNameW.Addr(), 3, uintptr(module), uintptr(unsafe.Pointer(filename)), uintptr(size))
	n = uint32(r0)
	if n == 0 {
		err = errnoErr(e1)
	}
	return
}

func GetModuleHandleEx(flags uint32, moduleName *uint16, module *Handle) (err error) {