public Stopwatch start() {
    checkState(!isRunning, "This stopwatch is already running.");
    isRunning = true;
    startTick = ticker.read();
    return this;
  }

  /**
   * Stops the stopwatch. Future reads will return the fixed duration that had elapsed up to this
   * point.
   *
   * @return this {@code Stopwatch} instance
   * @throws IllegalStateException if the stopwatch is already stopped.

请求 `/unicorns/yolo` 时，路径操作会触发 `UnicornException`。

但该异常将会被 `unicorn_exception_handler` 处理。

接收到的错误信息清晰明了，HTTP 状态码为 `418`，JSON 内容如下：

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}

```

/// note | 技术细节

`from starlette.requests import Request` 和 `from starlette.responses import JSONResponse` 也可以用于导入 `Request` 和 `JSONResponse`。

import importlib
import inspect as _inspect
import os as _os
import site as _site
import sys as _sys
import sysconfig

# pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top
from tensorflow.python import pywrap_tensorflow  # pylint: disable=unused-import
from tensorflow.python.tools import module_util as _module_util
from tensorflow.python.platform import tf_logging as _logging

         *
         * @return true if the thread has completed its crawling operation
         */
        public boolean isFinished() {
            return finished;
        }

        /**
         * Stops the crawling operation gracefully.
         * If a data store is currently active, this method calls
         * its stop method to halt the crawling process.
         */
        public void stopCrawling() {

                messages.addErrorsFailedToStartJob(GLOBAL, id);
            }, () -> asDetailsHtml(id));
        });
        return redirect(getClass());
    }

    /**
     * Stops a running scheduled job.
     *
     * @param form the edit form containing the ID of the job to stop
     * @return HTML response redirecting to the list page after stopping
     */
    @Execute

But it will be handled by the `unicorn_exception_handler`.

So, you will receive a clean error, with an HTTP status code of `418` and a JSON content of:

```JSON
{"message": "Oops! yolo did something. There goes a rainbow..."}
```

/// note | Technical Details

You could also use `from starlette.requests import Request` and `from starlette.responses import JSONResponse`.

pour de nombreux langages.

## Pydantic

Toute la validation de données est effectué en arrière-plan avec <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>,
dont vous bénéficierez de tous les avantages. Vous savez donc que vous êtes entre de bonnes mains.

## L'ordre importe

Quand vous créez des *fonctions de chemins*, vous pouvez vous retrouver dans une situation où vous avez un chemin fixe.

#include "tensorflow/c/experimental/filesystem/modular_filesystem.h"
#include "tensorflow/cc/framework/gradients.h"
#include "tensorflow/cc/framework/ops.h"
#include "tensorflow/cc/framework/scope_internal.h"
#include "tensorflow/cc/ops/while_loop.h"
#include "tensorflow/cc/saved_model/loader.h"
#include "tensorflow/core/distributed_runtime/server_lib.h"
#include "tensorflow/core/framework/logging.h"

	return target.store.Del(key)
}

// Close - does nothing and available for interface compatibility.
func (target *ElasticsearchTarget) Close() error {
	close(target.quitCh)
	if target.client != nil {
		// Stops the background processes that the client is running.
		target.client.stop()
	}
	return nil
}

func (target *ElasticsearchTarget) checkAndInitClient(ctx context.Context) error {
	if target.client != nil {

      ASSERT_EQ(expected[i], data[i]) << "Different data at index " << i;
    }
  }

  std::vector<TF_Output> ToOutput(const std::vector<TF_Operation*> ops) {
    std::vector<TF_Output> out;
    for (auto op : ops) {
      out.push_back({op, 0});
    }
    return out;
  }

  void Define(int num_opers, const std::vector<TF_Operation*>& opers,