Python warnings.warning() Examples
The following are 6
code examples of warnings.warning().
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Example #1
Source File: data.py From seismic-deeplearning with MIT License | 6 votes |
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
Example #2
Source File: __init__.py From lkpy with MIT License | 6 votes |
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
Example #3
Source File: schedulers.py From incremental_learning.pytorch with MIT License | 6 votes |
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)
Example #4
Source File: threadpool.py From cheroot with BSD 3-Clause "New" or "Revised" License | 5 votes |
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
Example #5
Source File: threadpool.py From Tautulli with GNU General Public License v3.0 | 5 votes |
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
Example #6
Source File: episodicmemorymechanism.py From PsyNeuLink with Apache License 2.0 | 5 votes |
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')