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