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In python, Tornado is a networkframework# based on the event loop ##. It uses coroutines to handle concurrency, gen.Return("hello") is a method for returning values in coroutines. When using Tornado's asynchronous capabilities, use gen.Return() to return a value in a coroutine.
How to solveIn Tornado, use yield and gen.Return() to return values. If you want to return a value in a coroutine, you can use yield and gen.Return() to achieve your goal. For example:@gen.coroutine def my_coroutine(): result = yield some_async_call() raise gen.Return(result)Use async
io.run() or tornado.gen.convert_yielded() outside the function to get the return value.
result = await my_coroutine()If you want to return a value in a coroutine, you should use yield and gen.Return() to achieve your goal. Usage exampleThe following is a simple example of using coroutines in Tornado and returning values:
import tornado.ioloop import tornado.gen @tornado.gen.coroutine def my_coroutine(): result = yield some_async_call() raise tornado.gen.Return(result) def handle_result(result): print(result) if __name__ == "__main__": result = tornado.ioloop.IOLoop.current().run_sync(my_coroutine) handle_result(result)Some_async_call() here is an asynchronous function. If you want to get the return value outside the function, you can do this:
result = await my_coroutine()Of course, async/await syntax can also be used, which requires adding the async modifier before the function and using await when calling the function.
async def my_coroutine(): result = await some_async_call() return resultIn the above example, result is the return value, which can be processed in handle_result().
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