Python warnings.warning方法代碼示例

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import warning [as 別名]
def _limit_inlines(max_inlines, images_iter):
    if max_inlines is not None:
        images_list = list(images_iter)
        if max_inlines > len(images_list):
            warn_msg = (
                f"The number of max inlines {max_inlines} is greater"
                f"than the number of inlines found {len(images_list)}."
                f"Setting max inlines to {len(images_list)}"
            )
            warnings.warning(warn_msg)
            max_inlines = len(images_list)
            images_iter = images_list
        else:
            shuffled_list = random.shuffle(images_list)
            images_iter = take(max_inlines, shuffled_list)
    return images_iter, max_inlines 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import warning [as 別名]
def transfer(self):
        """
        Mark an object for ownership transfer.  This object, when pickled, will
        unpickle into an owning model that frees resources when closed. Used to
        transfer ownership of shared memory resources from child processes to
        parent processes.  Such an object should only be unpickled once.

        The default implementation sets the ``is_owner`` attribute to ``'transfer'``.

        Returns:
            ``self`` (for convenience)
        """
        if not self.is_owner:
            warnings.warning('non-owning objects should not be transferred', stacklevel=1)
        else:
            self.is_owner = 'transfer'
        return self 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import warning [as 別名]
def __init__(
        self, optimizer, t_max: int, eta_min: float = 0., last_epoch: int = -1, factor: float = 1.
    ) -> None:
        assert t_max > 0
        assert eta_min >= 0
        if t_max == 1 and factor == 1:
            warnings.warning(
                "Cosine annealing scheduler will have no effect on the learning "
                "rate since T_max = 1 and factor = 1."
            )
        self.t_max = t_max
        self.eta_min = eta_min
        self.factor = factor
        self._last_restart: int = 0
        self._cycle_counter: int = 0
        self._cycle_factor: float = 1.
        self._updated_cycle_len: int = t_max
        self._initialized: bool = False
        super(CosineWithRestarts, self).__init__(optimizer, last_epoch) 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import warning [as 別名]
def stop(self, timeout=5):
        """Terminate all worker threads.

        Args:
            timeout (int): time to wait for threads to stop gracefully
        """
        # for compatability, negative timeouts are treated like None
        # TODO: treat negative timeouts like already expired timeouts
        if timeout is not None and timeout < 0:
            timeout = None
            warnings.warning(
                'In the future, negative timeouts to Server.stop() '
                'will be equivalent to a timeout of zero.',
                stacklevel=2,
            )

        if timeout is not None:
            endtime = time.time() + timeout

        # Must shut down threads here so the code that calls
        # this method can know when all threads are stopped.
        for worker in self._threads:
            self._queue.put(_SHUTDOWNREQUEST)

        ignored_errors = (
            # TODO: explain this exception.
            AssertionError,
            # Ignore repeated Ctrl-C. See cherrypy#691.
            KeyboardInterrupt,
        )

        for worker in self._clear_threads():
            remaining_time = timeout and endtime - time.time()
            try:
                worker.join(remaining_time)
                if worker.is_alive():
                    # Timeout exhausted; forcibly shut down the socket.
                    self._force_close(worker.conn)
                    worker.join()
            except ignored_errors:
                pass 

# 需要導入模塊: import warnings [as 別名]
# 或者: from warnings import warning [as 別名]
def memory(self):
        """Return function's memory attribute"""
        try:
            return self.function.memory
        except:
            warnings.warning(f'Function of {self.name} (self.function.name) has no memory attribute')