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# -*- coding: utf-8 -*- # Copyright (c) 2018 gevent # cython: auto_pickle=False,embedsignature=True,always_allow_keywords=False,infer_types=True """ Iterators across greenlets or AsyncResult objects. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function from gevent import _semaphore from gevent import queue __all__ = [ 'IMapUnordered', 'IMap', ] locals()['Greenlet'] = __import__('gevent').Greenlet locals()['Semaphore'] = _semaphore.Semaphore locals()['UnboundQueue'] = queue.UnboundQueue class Failure(object): __slots__ = ('exc', 'raise_exception') def __init__(self, exc, raise_exception=None): self.exc = exc self.raise_exception = raise_exception def _raise_exc(failure): # For cython. if failure.raise_exception: failure.raise_exception() else: raise failure.exc class IMapUnordered(Greenlet): # pylint:disable=undefined-variable """ At iterator of map results. """ def __init__(self, func, iterable, spawn, maxsize=None, _zipped=False): """ An iterator that. :param callable spawn: The function we use to create new greenlets. :keyword int maxsize: If given and not-None, specifies the maximum number of finished results that will be allowed to accumulated awaiting the reader; more than that number of results will cause map function greenlets to begin to block. This is most useful is there is a great disparity in the speed of the mapping code and the consumer and the results consume a great deal of resources. Using a bound is more computationally expensive than not using a bound. .. versionchanged:: 1.1b3 Added the *maxsize* parameter. """ Greenlet.__init__(self) # pylint:disable=undefined-variable self.spawn = spawn self._zipped = _zipped self.func = func self.iterable = iterable self.queue = UnboundQueue() # pylint:disable=undefined-variable if maxsize: # Bounding the queue is not enough if we want to keep from # accumulating objects; the result value will be around as # the greenlet's result, blocked on self.queue.put(), and # we'll go on to spawn another greenlet, which in turn can # create the result. So we need a semaphore to prevent a # greenlet from exiting while the queue is full so that we # don't spawn the next greenlet (assuming that self.spawn # is of course bounded). (Alternatively we could have the # greenlet itself do the insert into the pool, but that # takes some rework). # # Given the use of a semaphore at this level, sizing the queue becomes # redundant, and that lets us avoid having to use self.link() instead # of self.rawlink() to avoid having blocking methods called in the # hub greenlet. self._result_semaphore = Semaphore(maxsize) # pylint:disable=undefined-variable else: self._result_semaphore = None self._outstanding_tasks = 0 # The index (zero based) of the maximum number of # results we will have. self._max_index = -1 self.finished = False # We're iterating in a different greenlet than we're running. def __iter__(self): return self def __next__(self): if self._result_semaphore is not None: self._result_semaphore.release() value = self._inext() if isinstance(value, Failure): _raise_exc(value) return value next = __next__ # Py2 def _inext(self): return self.queue.get() def _ispawn(self, func, item, item_index): if self._result_semaphore is not None: self._result_semaphore.acquire() self._outstanding_tasks += 1 g = self.spawn(func, item) if not self._zipped else self.spawn(func, *item) g._imap_task_index = item_index g.rawlink(self._on_result) return g def _run(self): # pylint:disable=method-hidden try: func = self.func for item in self.iterable: self._max_index += 1 self._ispawn(func, item, self._max_index) self._on_finish(None) except BaseException as e: self._on_finish(e) raise finally: self.spawn = None self.func = None self.iterable = None self._result_semaphore = None def _on_result(self, greenlet): # This method will be called in the hub greenlet (we rawlink) self._outstanding_tasks -= 1 count = self._outstanding_tasks finished = self.finished ready = self.ready() put_finished = False if ready and count <= 0 and not finished: finished = self.finished = True put_finished = True if greenlet.successful(): self.queue.put(self._iqueue_value_for_success(greenlet)) else: self.queue.put(self._iqueue_value_for_failure(greenlet)) if put_finished: self.queue.put(self._iqueue_value_for_self_finished()) def _on_finish(self, exception): # Called in this greenlet. if self.finished: return if exception is not None: self.finished = True self.queue.put(self._iqueue_value_for_self_failure(exception)) return if self._outstanding_tasks <= 0: self.finished = True self.queue.put(self._iqueue_value_for_self_finished()) def _iqueue_value_for_success(self, greenlet): return greenlet.value def _iqueue_value_for_failure(self, greenlet): return Failure(greenlet.exception, getattr(greenlet, '_raise_exception')) def _iqueue_value_for_self_finished(self): return Failure(StopIteration()) def _iqueue_value_for_self_failure(self, exception): return Failure(exception, self._raise_exception) class IMap(IMapUnordered): # A specialization of IMapUnordered that returns items # in the order in which they were generated, not # the order in which they finish. def __init__(self, *args, **kwargs): # The result dictionary: {index: value} self._results = {} # The index of the result to return next. self.index = 0 IMapUnordered.__init__(self, *args, **kwargs) def _inext(self): try: value = self._results.pop(self.index) except KeyError: # Wait for our index to finish. while 1: index, value = self.queue.get() if index == self.index: break else: self._results[index] = value self.index += 1 return value def _iqueue_value_for_success(self, greenlet): return (greenlet._imap_task_index, IMapUnordered._iqueue_value_for_success(self, greenlet)) def _iqueue_value_for_failure(self, greenlet): return (greenlet._imap_task_index, IMapUnordered._iqueue_value_for_failure(self, greenlet)) def _iqueue_value_for_self_finished(self): return (self._max_index + 1, IMapUnordered._iqueue_value_for_self_finished(self)) def _iqueue_value_for_self_failure(self, exception): return (self._max_index + 1, IMapUnordered._iqueue_value_for_self_failure(self, exception)) from gevent._util import import_c_accel import_c_accel(globals(), 'gevent.__imap')