private static final String PLAY_SERVER_PATTERN_STR = "(play\\.core\\.server\\.NettyServer)";
    private static final String JAVA_PROCESS_STACK_TRACES_MONITOR_PATTERN_STR = "(JavaProcessStackTracesMonitor\\.java)";
    private static ExecutionMode executionMode;

    static String generateAllGradleProcessPattern() {

    return nullptr;
  }

  // Dump the op creation stacktraces for debugging purpose.
  DEBUG_DATA_DUMPER()->DumpOpCreationStackTraces(
      fn_name, kDebugGroupOpStacktrace, "initial", &fn_body->graph);

  tensorflow::StackTracesMap stack_traces;
  for (const Node* n : fn_body->graph.nodes()) {
    stack_traces[n->name()] = n->GetStackTrace();
  }

  TF_Function* tf_function = new TF_Function();

  ASSERT_NE(func_stack_traces, nullptr);
  EXPECT_EQ(func_stack_traces->size(), 4);
  EXPECT_EQ(func_stack_traces->at("neg")->ToString({}), kNegStackToString);
  EXPECT_EQ(func_stack_traces->at("feed")->ToString({}), kFeedStackToString);

  // Verify that stack traces of grad_func is copied to graph function library.
  ASSERT_NE(grad_stack_traces, nullptr);
  EXPECT_EQ(grad_stack_traces->size(), 4);

  // Same as `AddFunctionDef`, but additionally saves the `stack_traces` under
  // the key of the function definition name (to be retrieved during function
  // instantiation).
  virtual Status AddFunctionDefWithStackTraces(
      const FunctionDef& fdef, const StackTracesMap& stack_traces) = 0;

  // Find and return a added function by its name.

        "Unable to find function with name: ", function_name);
    return;
  }

  tensorflow::GraphDebugInfo debug_info =
      tensorflow::StackTracesMapToGraphDebugInfo(
          function_record->stack_traces());

  string str = debug_info.SerializeAsString();
  void* data = tensorflow::port::Malloc(str.length());
  str.copy(static_cast<char*>(data), str.length(), 0);
  buf->data = data;
  buf->length = str.length();

    return;
  }

  AnnotateEagerRuntimeConstructionContext(*fdef_or.value());
  status->status = tensorflow::unwrap(ctx)->AddFunctionDefWithStackTraces(
      *fdef_or.value(), function->record->stack_traces());
}

TF_Function* TFE_ContextGetFunction(TFE_Context* ctx, const char* name,
                                    TF_Status* status) {
  tensorflow::core::RefCountPtr<tensorflow::FunctionRecord> record =

          NodeDef* const node_def = graph_def.add_node();
          *node_def = node->def();
        }
      }
      *graph_def.mutable_library() = graph.flib_def().ToProto();
      if (flags::Global().more_stack_traces.value()) {
        *graph_def.mutable_debug_info() = graph.BuildDebugInfo();
      }
      session->graph->mu.unlock();
      status->status = session->session->Extend(std::move(graph_def));

    }
  }

  override fun logCloseableLeak(
    message: String,
    stackTrace: Any?,
  ) {
    if (Build.VERSION.SDK_INT >= 30) {
      (stackTrace as CloseGuard).warnIfOpen()
    } else {
      // Unable to report via CloseGuard. As a last-ditch effort, send it to the logger.
      super.logCloseableLeak(message, stackTrace)
    }
  }

  @SuppressLint("NewApi")

		line := s.Text()
		switch {
		case skip && line != "":
		case skip && line == "":
			skip = false
		case record && line == "":
			stackTrace := bf.String()
			reset()
			record = false
			if searchRE == nil || searchRE.MatchString(stackTrace) {
				ret[t] = append(ret[t], stackTrace)
			}
		case record:
			save(line)
		default:
			z := goroutinesRE.FindStringSubmatch(line)
			if len(z) == 3 {
				if z[2] != "" {

For some scenarios, it doesn't make sense to display all the generic suggestions we currently have.
E.g. `--stacktrace` for a compilation error is not helpful.

To influence the generic suggestions Gradle displays, the NonGradleCause interface was introduced.
If an exception implements this interface, Gradle will not display the `--stacktrace` option.

Another more targeted interface is `CompilationFailedIndicator`.