lastHandout:  metaCacheTestsetTimestamp,
		dataVersion:  metacacheStreamVersion,
	},
	5: {
		id:           "case-6-404notfound",
		bucket:       "bucket",
		root:         "folder/notfound",
		recursive:    true,
		status:       scanStateSuccess,
		fileNotFound: true,
		error:        "",
		started:      metaCacheTestsetTimestamp,
		ended:        metaCacheTestsetTimestamp.Add(time.Minute),

    /** The path of the HTML: /error/error.jsp */
    HtmlNext path_Error_ErrorJsp = new HtmlNext("/error/error.jsp");

    /** The path of the HTML: /error/notFound.jsp */
    HtmlNext path_Error_NotFoundJsp = new HtmlNext("/error/notFound.jsp");

    /** The path of the HTML: /error/redirect.jsp */
    HtmlNext path_Error_RedirectJsp = new HtmlNext("/error/redirect.jsp");

		Scopes:      scopes,
	}

	state := randomState()

	http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {
		log.Printf("%s %s", r.Method, r.RequestURI)
		if r.RequestURI != "/" {
			http.NotFound(w, r)
			return
		}
		if clientSec != "" {
			http.Redirect(w, r, config.AuthCodeURL(state), http.StatusFound)
		} else {
			http.Redirect(w, r, implicitFlowURL(config, state), http.StatusFound)
		}
	})

func isObjectDirDangling(errs []error) (ok bool) {
	var found int
	var notFound int
	var foundNotEmpty int
	var otherFound int
	for _, readErr := range errs {
		switch {
		case readErr == nil:
			found++
		case readErr == errFileNotFound || readErr == errVolumeNotFound:
			notFound++
		case readErr == errVolumeNotEmpty:
			foundNotEmpty++
		default:
			otherFound++
		}
	}

                               TF_Buffer* buf, TF_Status* status) {
  auto* function_def = tensorflow::unwrap(ctx)->FindFunctionDef(function_name);
  if (function_def == nullptr) {
    status->status = tensorflow::errors::NotFound(
        "Unable to find FunctionDef with name: ", function_name);
    return;
  }
  string str = function_def->SerializeAsString();
  void* data = tensorflow::port::Malloc(str.length());

    return nullptr;
  }

  const tensorflow::OpDef_ArgDef& input_arg = op_def->input_arg()[input_index];

  if (input_arg.number_attr().empty()) {
    status->status = tensorflow::errors::NotFound(
        op_name, " does not have number_attr() defined.");
    return nullptr;
  }

  // The returned string is owned by OpRegistry, so liveness is not a concern.
  return input_arg.number_attr().c_str();
}

        properties.load(new StringReader(TEST_PROPERTIES));

        String test = properties.getProperty("test");
        assertEquals(test, "test");

        String defaultValue = properties.getProperty("notfound", "default");
        assertEquals(defaultValue, "default");

        properties.setProperty("another", "another");
        Object o1 = properties.getProperty("another");
        assertEquals(o1, "another");

		HandlerFunc(s3APIMiddleware(api.ListBucketsHandler))

	// If none of the routes match add default error handler routes
	apiRouter.NotFoundHandler = collectAPIStats("notfound", httpTraceAll(errorResponseHandler))
	apiRouter.MethodNotAllowedHandler = collectAPIStats("methodnotallowed", httpTraceAll(methodNotAllowedHandler("S3")))
}

// corsHandler handler for CORS (Cross Origin Resource Sharing)

		return
	}
	select {
	case m.outBlock <- struct{}{}:
	default:
		gridLogIf(m.ctx, errors.New("output unblocked overflow"))
	}
}

func (m *muxClient) pong(msg pongMsg) {
	if msg.NotFound || msg.Err != nil {
		err := errors.New("remote terminated call")
		if msg.Err != nil {
			err = fmt.Errorf("remove pong failed: %v", &msg.Err)
		}
		m.addResponse(Response{Err: err})
		return
	}

  auto iter = registry_.find(op.op_name);
  if (iter == registry_.end()) {
    const string error_msg = "No gradient defined for op: " + op.op_name + ".";
    return errors::NotFound(error_msg);
  }
  gradient_function->reset(iter->second(op));
  return absl::OkStatus();
}

TapeTensor::TapeTensor(AbstractTensorHandle* handle) : handle_(handle) {
  handle_->Ref();
}