YouCompleteMe/python/ycm/unsafe_thread_pool_executor.py
micbou 6b4d705238
Add flake8-ycm to test requirements
Fix errors reported by flake8-ycm.
2018-05-30 02:53:28 +02:00

121 lines
3.6 KiB
Python

# Copyright 2009 Brian Quinlan. All Rights Reserved.
# Licensed to PSF under a Contributor Agreement.
#
# Copyright (C) 2013 Google Inc.
# Changes to this file are licensed under the same terms as the original file
# (the Python Software Foundation License).
from __future__ import with_statement
import threading
import weakref
import sys
from concurrent.futures import _base
try:
import queue
except ImportError:
import Queue as queue
# This file provides an UnsafeThreadPoolExecutor, which operates exactly like
# the upstream Python version of ThreadPoolExecutor with one exception: it
# doesn't wait for worker threads to finish before shutting down the Python
# interpreter.
#
# This is dangerous for many workloads, but fine for some (like when threads
# only send network requests). The YCM workload is one of those workloads where
# it's safe (the aforementioned network requests case).
class _WorkItem( object ):
def __init__( self, future, fn, args, kwargs ):
self.future = future
self.fn = fn
self.args = args
self.kwargs = kwargs
def run( self ):
if not self.future.set_running_or_notify_cancel():
return
try:
result = self.fn( *self.args, **self.kwargs )
except BaseException:
e = sys.exc_info()[ 1 ]
self.future.set_exception( e )
else:
self.future.set_result( result )
def _worker( executor_reference, work_queue ):
try:
while True:
work_item = work_queue.get( block=True )
if work_item is not None:
work_item.run()
continue
executor = executor_reference()
# Exit if:
# - The executor that owns the worker has been collected OR
# - The executor that owns the worker has been shutdown.
if executor is None or executor._shutdown:
# Notice other workers
work_queue.put( None )
return
del executor
except BaseException:
_base.LOGGER.critical( 'Exception in worker', exc_info=True )
class UnsafeThreadPoolExecutor( _base.Executor ):
def __init__( self, max_workers ):
"""Initializes a new ThreadPoolExecutor instance.
Args:
max_workers: The maximum number of threads that can be used to
execute the given calls.
"""
self._max_workers = max_workers
self._work_queue = queue.Queue()
self._threads = set()
self._shutdown = False
self._shutdown_lock = threading.Lock()
def submit( self, fn, *args, **kwargs ):
with self._shutdown_lock:
if self._shutdown:
raise RuntimeError( 'cannot schedule new futures after shutdown' )
f = _base.Future()
w = _WorkItem( f, fn, args, kwargs )
self._work_queue.put( w )
self._adjust_thread_count()
return f
submit.__doc__ = _base.Executor.submit.__doc__
def _adjust_thread_count( self ):
# When the executor gets lost, the weakref callback will wake up
# the worker threads.
def weakref_cb( _, q=self._work_queue ):
q.put( None )
# TODO(bquinlan): Should avoid creating new threads if there are more
# idle threads than items in the work queue.
if len( self._threads ) < self._max_workers:
t = threading.Thread( target=_worker,
args=( weakref.ref( self, weakref_cb ),
self._work_queue ) )
t.daemon = True
t.start()
self._threads.add( t )
def shutdown( self, wait=True ):
with self._shutdown_lock:
self._shutdown = True
self._work_queue.put( None )
if wait:
for t in self._threads:
t.join()
shutdown.__doc__ = _base.Executor.shutdown.__doc__