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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def series(*coros_or_futures, timeout=None, loop=None, return_exceptions=False):
 """ Run the given coroutine functions in series, each one running once the previous execution has completed. If any coroutines raises an exception, no more coroutines are executed. Otherwise, the coroutines returned values will be returned as `list`. ``timeout`` can be used to control the maximum number of seconds to wait before returning. timeout can be an int or float. If timeout is not specified or None, there is no limit to the wait time. If ``return_exceptions`` is True, exceptions in the tasks are treated the same as successful results, and gathered in the result list; otherwise, the first raised exception will be immediately propagated to the returned future. All futures must share the same event loop. This functions is basically the sequential execution version of ``asyncio.gather()``. Interface compatible with ``asyncio.gather()``. This function is a coroutine. Arguments: *coros_or_futures (iter|list):
 an iterable collection yielding coroutines functions. timeout (int/float):
 maximum number of seconds to wait before returning. return_exceptions (bool):
 exceptions in the tasks are treated the same as successful results, instead of raising them. loop (asyncio.BaseEventLoop):
 optional event loop to use. *args (mixed):
 optional variadic argument to pass to the coroutines function. Returns: list: coroutines returned results. Raises: TypeError: in case of invalid coroutine object. ValueError: in case of empty set of coroutines or futures. TimeoutError: if execution takes more than expected. Usage:: async def sum(x, y):
 return x + y await paco.series( sum(1, 2), sum(2, 3), sum(3, 4)) # => [3, 5, 7] """

    return (yield from gather(*coros_or_futures,
                              loop=loop, limit=1, timeout=timeout,
                              return_exceptions=return_exceptions))