Mercurial > cpython-lru_cache-weakref
annotate Lib/multiprocessing/pool.py @ 79675:c0a2294de787 2.7
Issue #16199: Backport 2to3 typo fix from 3.2.
| author | Chris Jerdonek <chris.jerdonek@gmail.com> |
|---|---|
| date | Thu, 11 Oct 2012 16:15:46 -0700 |
| parents | 4c07b9c49b75 |
| children | 2684176519ef |
| rev | line source |
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1 # |
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2 # Module providing the `Pool` class for managing a process pool |
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3 # |
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4 # multiprocessing/pool.py |
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5 # |
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6 # Copyright (c) 2006-2008, R Oudkerk |
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7 # All rights reserved. |
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8 # |
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9 # Redistribution and use in source and binary forms, with or without |
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10 # modification, are permitted provided that the following conditions |
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11 # are met: |
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12 # |
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13 # 1. Redistributions of source code must retain the above copyright |
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14 # notice, this list of conditions and the following disclaimer. |
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15 # 2. Redistributions in binary form must reproduce the above copyright |
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16 # notice, this list of conditions and the following disclaimer in the |
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17 # documentation and/or other materials provided with the distribution. |
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18 # 3. Neither the name of author nor the names of any contributors may be |
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19 # used to endorse or promote products derived from this software |
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20 # without specific prior written permission. |
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21 # |
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22 # THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS "AS IS" AND |
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23 # ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE |
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24 # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE |
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25 # ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE |
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26 # FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL |
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27 # DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS |
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28 # OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) |
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29 # HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT |
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30 # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY |
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31 # OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF |
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32 # SUCH DAMAGE. |
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33 # |
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34 |
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35 __all__ = ['Pool'] |
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36 |
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37 # |
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38 # Imports |
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39 # |
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40 |
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41 import threading |
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42 import Queue |
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43 import itertools |
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44 import collections |
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45 import time |
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46 |
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47 from multiprocessing import Process, cpu_count, TimeoutError |
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48 from multiprocessing.util import Finalize, debug |
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49 |
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50 # |
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51 # Constants representing the state of a pool |
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52 # |
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53 |
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54 RUN = 0 |
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55 CLOSE = 1 |
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56 TERMINATE = 2 |
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57 |
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58 # |
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59 # Miscellaneous |
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60 # |
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61 |
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62 job_counter = itertools.count() |
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63 |
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64 def mapstar(args): |
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65 return map(*args) |
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66 |
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67 # |
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68 # Code run by worker processes |
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69 # |
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70 |
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71 class MaybeEncodingError(Exception): |
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72 """Wraps possible unpickleable errors, so they can be |
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73 safely sent through the socket.""" |
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74 |
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75 def __init__(self, exc, value): |
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76 self.exc = repr(exc) |
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77 self.value = repr(value) |
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78 super(MaybeEncodingError, self).__init__(self.exc, self.value) |
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79 |
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80 def __str__(self): |
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81 return "Error sending result: '%s'. Reason: '%s'" % (self.value, |
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82 self.exc) |
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83 |
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84 def __repr__(self): |
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85 return "<MaybeEncodingError: %s>" % str(self) |
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86 |
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87 |
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88 def worker(inqueue, outqueue, initializer=None, initargs=(), maxtasks=None): |
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89 assert maxtasks is None or (type(maxtasks) == int and maxtasks > 0) |
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90 put = outqueue.put |
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91 get = inqueue.get |
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92 if hasattr(inqueue, '_writer'): |
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93 inqueue._writer.close() |
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94 outqueue._reader.close() |
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95 |
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96 if initializer is not None: |
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97 initializer(*initargs) |
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98 |
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99 completed = 0 |
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100 while maxtasks is None or (maxtasks and completed < maxtasks): |
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101 try: |
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102 task = get() |
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103 except (EOFError, IOError): |
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104 debug('worker got EOFError or IOError -- exiting') |
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105 break |
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106 |
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107 if task is None: |
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108 debug('worker got sentinel -- exiting') |
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109 break |
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110 |
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111 job, i, func, args, kwds = task |
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112 try: |
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113 result = (True, func(*args, **kwds)) |
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114 except Exception, e: |
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115 result = (False, e) |
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116 try: |
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117 put((job, i, result)) |
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118 except Exception as e: |
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119 wrapped = MaybeEncodingError(e, result[1]) |
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120 debug("Possible encoding error while sending result: %s" % ( |
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121 wrapped)) |
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122 put((job, i, (False, wrapped))) |
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123 completed += 1 |
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124 debug('worker exiting after %d tasks' % completed) |
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125 |
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126 # |
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127 # Class representing a process pool |
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128 # |
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129 |
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130 class Pool(object): |
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131 ''' |
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132 Class which supports an async version of the `apply()` builtin |
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133 ''' |
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134 Process = Process |
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135 |
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136 def __init__(self, processes=None, initializer=None, initargs=(), |
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137 maxtasksperchild=None): |
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138 self._setup_queues() |
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139 self._taskqueue = Queue.Queue() |
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140 self._cache = {} |
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141 self._state = RUN |
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142 self._maxtasksperchild = maxtasksperchild |
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143 self._initializer = initializer |
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144 self._initargs = initargs |
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145 |
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146 if processes is None: |
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147 try: |
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148 processes = cpu_count() |
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149 except NotImplementedError: |
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150 processes = 1 |
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151 if processes < 1: |
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152 raise ValueError("Number of processes must be at least 1") |
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153 |
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154 if initializer is not None and not hasattr(initializer, '__call__'): |
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155 raise TypeError('initializer must be a callable') |
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156 |
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157 self._processes = processes |
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158 self._pool = [] |
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159 self._repopulate_pool() |
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160 |
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161 self._worker_handler = threading.Thread( |
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162 target=Pool._handle_workers, |
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163 args=(self, ) |
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164 ) |
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165 self._worker_handler.daemon = True |
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166 self._worker_handler._state = RUN |
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167 self._worker_handler.start() |
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168 |
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169 |
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170 self._task_handler = threading.Thread( |
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171 target=Pool._handle_tasks, |
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172 args=(self._taskqueue, self._quick_put, self._outqueue, self._pool) |
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173 ) |
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174 self._task_handler.daemon = True |
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175 self._task_handler._state = RUN |
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176 self._task_handler.start() |
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177 |
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178 self._result_handler = threading.Thread( |
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179 target=Pool._handle_results, |
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180 args=(self._outqueue, self._quick_get, self._cache) |
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181 ) |
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182 self._result_handler.daemon = True |
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183 self._result_handler._state = RUN |
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184 self._result_handler.start() |
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185 |
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186 self._terminate = Finalize( |
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187 self, self._terminate_pool, |
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188 args=(self._taskqueue, self._inqueue, self._outqueue, self._pool, |
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189 self._worker_handler, self._task_handler, |
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190 self._result_handler, self._cache), |
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191 exitpriority=15 |
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192 ) |
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193 |
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194 def _join_exited_workers(self): |
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195 """Cleanup after any worker processes which have exited due to reaching |
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196 their specified lifetime. Returns True if any workers were cleaned up. |
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197 """ |
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198 cleaned = False |
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199 for i in reversed(range(len(self._pool))): |
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200 worker = self._pool[i] |
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201 if worker.exitcode is not None: |
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202 # worker exited |
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203 debug('cleaning up worker %d' % i) |
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204 worker.join() |
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205 cleaned = True |
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206 del self._pool[i] |
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207 return cleaned |
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208 |
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209 def _repopulate_pool(self): |
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210 """Bring the number of pool processes up to the specified number, |
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211 for use after reaping workers which have exited. |
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212 """ |
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213 for i in range(self._processes - len(self._pool)): |
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214 w = self.Process(target=worker, |
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215 args=(self._inqueue, self._outqueue, |
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216 self._initializer, |
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217 self._initargs, self._maxtasksperchild) |
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218 ) |
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219 self._pool.append(w) |
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220 w.name = w.name.replace('Process', 'PoolWorker') |
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221 w.daemon = True |
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222 w.start() |
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223 debug('added worker') |
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224 |
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225 def _maintain_pool(self): |
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226 """Clean up any exited workers and start replacements for them. |
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227 """ |
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228 if self._join_exited_workers(): |
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229 self._repopulate_pool() |
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230 |
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231 def _setup_queues(self): |
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232 from .queues import SimpleQueue |
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233 self._inqueue = SimpleQueue() |
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234 self._outqueue = SimpleQueue() |
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235 self._quick_put = self._inqueue._writer.send |
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236 self._quick_get = self._outqueue._reader.recv |
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237 |
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238 def apply(self, func, args=(), kwds={}): |
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239 ''' |
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240 Equivalent of `apply()` builtin |
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241 ''' |
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242 assert self._state == RUN |
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243 return self.apply_async(func, args, kwds).get() |
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244 |
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245 def map(self, func, iterable, chunksize=None): |
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246 ''' |
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247 Equivalent of `map()` builtin |
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248 ''' |
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249 assert self._state == RUN |
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250 return self.map_async(func, iterable, chunksize).get() |
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251 |
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252 def imap(self, func, iterable, chunksize=1): |
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253 ''' |
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Merged revisions 67245,67277,67289,67295,67301-67303,67307,67330,67332,67336,67355,67359,67362,67364,67367-67368,67370 via svnmerge from
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254 Equivalent of `itertools.imap()` -- can be MUCH slower than `Pool.map()` |
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255 ''' |
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256 assert self._state == RUN |
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257 if chunksize == 1: |
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258 result = IMapIterator(self._cache) |
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259 self._taskqueue.put((((result._job, i, func, (x,), {}) |
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260 for i, x in enumerate(iterable)), result._set_length)) |
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261 return result |
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262 else: |
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263 assert chunksize > 1 |
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264 task_batches = Pool._get_tasks(func, iterable, chunksize) |
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265 result = IMapIterator(self._cache) |
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266 self._taskqueue.put((((result._job, i, mapstar, (x,), {}) |
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267 for i, x in enumerate(task_batches)), result._set_length)) |
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268 return (item for chunk in result for item in chunk) |
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269 |
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270 def imap_unordered(self, func, iterable, chunksize=1): |
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271 ''' |
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272 Like `imap()` method but ordering of results is arbitrary |
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273 ''' |
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274 assert self._state == RUN |
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275 if chunksize == 1: |
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276 result = IMapUnorderedIterator(self._cache) |
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277 self._taskqueue.put((((result._job, i, func, (x,), {}) |
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278 for i, x in enumerate(iterable)), result._set_length)) |
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279 return result |
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280 else: |
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281 assert chunksize > 1 |
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282 task_batches = Pool._get_tasks(func, iterable, chunksize) |
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283 result = IMapUnorderedIterator(self._cache) |
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284 self._taskqueue.put((((result._job, i, mapstar, (x,), {}) |
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285 for i, x in enumerate(task_batches)), result._set_length)) |
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286 return (item for chunk in result for item in chunk) |
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287 |
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288 def apply_async(self, func, args=(), kwds={}, callback=None): |
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289 ''' |
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290 Asynchronous equivalent of `apply()` builtin |
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291 ''' |
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292 assert self._state == RUN |
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293 result = ApplyResult(self._cache, callback) |
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294 self._taskqueue.put(([(result._job, None, func, args, kwds)], None)) |
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295 return result |
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296 |
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297 def map_async(self, func, iterable, chunksize=None, callback=None): |
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298 ''' |
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299 Asynchronous equivalent of `map()` builtin |
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300 ''' |
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301 assert self._state == RUN |
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302 if not hasattr(iterable, '__len__'): |
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303 iterable = list(iterable) |
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304 |
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305 if chunksize is None: |
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306 chunksize, extra = divmod(len(iterable), len(self._pool) * 4) |
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307 if extra: |
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308 chunksize += 1 |
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309 if len(iterable) == 0: |
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310 chunksize = 0 |
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311 |
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312 task_batches = Pool._get_tasks(func, iterable, chunksize) |
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313 result = MapResult(self._cache, chunksize, len(iterable), callback) |
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314 self._taskqueue.put((((result._job, i, mapstar, (x,), {}) |
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315 for i, x in enumerate(task_batches)), None)) |
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316 return result |
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317 |
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318 @staticmethod |
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319 def _handle_workers(pool): |
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320 thread = threading.current_thread() |
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321 |
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322 # Keep maintaining workers until the cache gets drained, unless the pool |
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323 # is terminated. |
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324 while thread._state == RUN or (pool._cache and thread._state != TERMINATE): |
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325 pool._maintain_pool() |
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326 time.sleep(0.1) |
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327 # send sentinel to stop workers |
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328 pool._taskqueue.put(None) |
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329 debug('worker handler exiting') |
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330 |
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331 @staticmethod |
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332 def _handle_tasks(taskqueue, put, outqueue, pool): |
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333 thread = threading.current_thread() |
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334 |
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335 for taskseq, set_length in iter(taskqueue.get, None): |
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336 i = -1 |
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337 for i, task in enumerate(taskseq): |
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338 if thread._state: |
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339 debug('task handler found thread._state != RUN') |
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340 break |
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341 try: |
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342 put(task) |
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343 except IOError: |
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344 debug('could not put task on queue') |
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345 break |
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346 else: |
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347 if set_length: |
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348 debug('doing set_length()') |
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349 set_length(i+1) |
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350 continue |
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351 break |
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352 else: |
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353 debug('task handler got sentinel') |
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354 |
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355 |
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356 try: |
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357 # tell result handler to finish when cache is empty |
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358 debug('task handler sending sentinel to result handler') |
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359 outqueue.put(None) |
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360 |
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361 # tell workers there is no more work |
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362 debug('task handler sending sentinel to workers') |
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363 for p in pool: |
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364 put(None) |
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365 except IOError: |
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366 debug('task handler got IOError when sending sentinels') |
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367 |
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368 debug('task handler exiting') |
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369 |
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370 @staticmethod |
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371 def _handle_results(outqueue, get, cache): |
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372 thread = threading.current_thread() |
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373 |
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374 while 1: |
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375 try: |
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376 task = get() |
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377 except (IOError, EOFError): |
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378 debug('result handler got EOFError/IOError -- exiting') |
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379 return |
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380 |
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381 if thread._state: |
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382 assert thread._state == TERMINATE |
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383 debug('result handler found thread._state=TERMINATE') |
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384 break |
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385 |
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386 if task is None: |
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387 debug('result handler got sentinel') |
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388 break |
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389 |
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390 job, i, obj = task |
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391 try: |
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392 cache[job]._set(i, obj) |
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393 except KeyError: |
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394 pass |
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395 |
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396 while cache and thread._state != TERMINATE: |
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397 try: |
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398 task = get() |
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399 except (IOError, EOFError): |
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400 debug('result handler got EOFError/IOError -- exiting') |
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401 return |
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402 |
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403 if task is None: |
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404 debug('result handler ignoring extra sentinel') |
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405 continue |
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406 job, i, obj = task |
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407 try: |
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408 cache[job]._set(i, obj) |
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409 except KeyError: |
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410 pass |
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411 |
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412 if hasattr(outqueue, '_reader'): |
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413 debug('ensuring that outqueue is not full') |
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414 # If we don't make room available in outqueue then |
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415 # attempts to add the sentinel (None) to outqueue may |
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416 # block. There is guaranteed to be no more than 2 sentinels. |
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417 try: |
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418 for i in range(10): |
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419 if not outqueue._reader.poll(): |
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420 break |
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421 get() |
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422 except (IOError, EOFError): |
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423 pass |
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424 |
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425 debug('result handler exiting: len(cache)=%s, thread._state=%s', |
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426 len(cache), thread._state) |
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427 |
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428 @staticmethod |
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429 def _get_tasks(func, it, size): |
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430 it = iter(it) |
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431 while 1: |
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432 x = tuple(itertools.islice(it, size)) |
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433 if not x: |
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434 return |
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435 yield (func, x) |
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436 |
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437 def __reduce__(self): |
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438 raise NotImplementedError( |
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439 'pool objects cannot be passed between processes or pickled' |
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440 ) |
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441 |
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442 def close(self): |
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443 debug('closing pool') |
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444 if self._state == RUN: |
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445 self._state = CLOSE |
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Issue #6963: Added maxtasksperchild argument to multiprocessing.Pool
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446 self._worker_handler._state = CLOSE |
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447 |
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448 def terminate(self): |
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449 debug('terminating pool') |
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450 self._state = TERMINATE |
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451 self._worker_handler._state = TERMINATE |
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452 self._terminate() |
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453 |
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454 def join(self): |
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455 debug('joining pool') |
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456 assert self._state in (CLOSE, TERMINATE) |
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457 self._worker_handler.join() |
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458 self._task_handler.join() |
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459 self._result_handler.join() |
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460 for p in self._pool: |
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461 p.join() |
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462 |
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463 @staticmethod |
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464 def _help_stuff_finish(inqueue, task_handler, size): |
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465 # task_handler may be blocked trying to put items on inqueue |
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466 debug('removing tasks from inqueue until task handler finished') |
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467 inqueue._rlock.acquire() |
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468 while task_handler.is_alive() and inqueue._reader.poll(): |
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469 inqueue._reader.recv() |
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470 time.sleep(0) |
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471 |
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472 @classmethod |
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473 def _terminate_pool(cls, taskqueue, inqueue, outqueue, pool, |
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474 worker_handler, task_handler, result_handler, cache): |
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475 # this is guaranteed to only be called once |
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476 debug('finalizing pool') |
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477 |
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478 worker_handler._state = TERMINATE |
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479 task_handler._state = TERMINATE |
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480 |
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481 debug('helping task handler/workers to finish') |
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482 cls._help_stuff_finish(inqueue, task_handler, len(pool)) |
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483 |
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484 assert result_handler.is_alive() or len(cache) == 0 |
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485 |
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486 result_handler._state = TERMINATE |
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487 outqueue.put(None) # sentinel |
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488 |
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Issue #8428: Fix a race condition in multiprocessing.Pool when terminating
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489 # We must wait for the worker handler to exit before terminating |
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490 # workers because we don't want workers to be restarted behind our back. |
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491 debug('joining worker handler') |
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492 if threading.current_thread() is not worker_handler: |
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493 worker_handler.join(1e100) |
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494 |
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495 # Terminate workers which haven't already finished. |
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496 if pool and hasattr(pool[0], 'terminate'): |
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497 debug('terminating workers') |
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498 for p in pool: |
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499 if p.exitcode is None: |
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500 p.terminate() |
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501 |
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502 debug('joining task handler') |
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503 if threading.current_thread() is not task_handler: |
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504 task_handler.join(1e100) |
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505 |
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506 debug('joining result handler') |
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507 if threading.current_thread() is not result_handler: |
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508 result_handler.join(1e100) |
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509 |
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510 if pool and hasattr(pool[0], 'terminate'): |
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511 debug('joining pool workers') |
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512 for p in pool: |
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On finalize, don't try to join not started process.
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513 if p.is_alive(): |
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514 # worker has not yet exited |
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515 debug('cleaning up worker %d' % p.pid) |
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516 p.join() |
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517 |
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518 # |
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519 # Class whose instances are returned by `Pool.apply_async()` |
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520 # |
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521 |
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522 class ApplyResult(object): |
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523 |
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524 def __init__(self, cache, callback): |
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525 self._cond = threading.Condition(threading.Lock()) |
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526 self._job = job_counter.next() |
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527 self._cache = cache |
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528 self._ready = False |
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529 self._callback = callback |
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530 cache[self._job] = self |
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531 |
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532 def ready(self): |
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533 return self._ready |
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534 |
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535 def successful(self): |
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536 assert self._ready |
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537 return self._success |
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538 |
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539 def wait(self, timeout=None): |
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540 self._cond.acquire() |
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541 try: |
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542 if not self._ready: |
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543 self._cond.wait(timeout) |
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544 finally: |
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545 self._cond.release() |
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546 |
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547 def get(self, timeout=None): |
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548 self.wait(timeout) |
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549 if not self._ready: |
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550 raise TimeoutError |
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551 if self._success: |
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552 return self._value |
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553 else: |
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554 raise self._value |
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555 |
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556 def _set(self, i, obj): |
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557 self._success, self._value = obj |
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558 if self._callback and self._success: |
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559 self._callback(self._value) |
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560 self._cond.acquire() |
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561 try: |
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562 self._ready = True |
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563 self._cond.notify() |
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564 finally: |
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565 self._cond.release() |
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566 del self._cache[self._job] |
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567 |
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568 # |
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569 # Class whose instances are returned by `Pool.map_async()` |
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570 # |
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571 |
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572 class MapResult(ApplyResult): |
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573 |
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574 def __init__(self, cache, chunksize, length, callback): |
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575 ApplyResult.__init__(self, cache, callback) |
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576 self._success = True |
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577 self._value = [None] * length |
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578 self._chunksize = chunksize |
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579 if chunksize <= 0: |
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580 self._number_left = 0 |
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581 self._ready = True |
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7ab7836894c4
Issue #12157: pool.map() does not handle empty iterable correctly
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582 del cache[self._job] |
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583 else: |
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584 self._number_left = length//chunksize + bool(length % chunksize) |
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585 |
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586 def _set(self, i, success_result): |
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587 success, result = success_result |
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588 if success: |
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589 self._value[i*self._chunksize:(i+1)*self._chunksize] = result |
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590 self._number_left -= 1 |
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591 if self._number_left == 0: |
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592 if self._callback: |
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593 self._callback(self._value) |
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594 del self._cache[self._job] |
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595 self._cond.acquire() |
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596 try: |
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597 self._ready = True |
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598 self._cond.notify() |
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599 finally: |
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600 self._cond.release() |
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601 |
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602 else: |
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603 self._success = False |
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604 self._value = result |
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605 del self._cache[self._job] |
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606 self._cond.acquire() |
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607 try: |
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608 self._ready = True |
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609 self._cond.notify() |
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610 finally: |
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611 self._cond.release() |
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612 |
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613 # |
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614 # Class whose instances are returned by `Pool.imap()` |
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615 # |
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616 |
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617 class IMapIterator(object): |
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618 |
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619 def __init__(self, cache): |
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620 self._cond = threading.Condition(threading.Lock()) |
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621 self._job = job_counter.next() |
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622 self._cache = cache |
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623 self._items = collections.deque() |
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624 self._index = 0 |
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625 self._length = None |
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626 self._unsorted = {} |
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627 cache[self._job] = self |
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628 |
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629 def __iter__(self): |
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630 return self |
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631 |
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632 def next(self, timeout=None): |
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633 self._cond.acquire() |
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634 try: |
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635 try: |
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636 item = self._items.popleft() |
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637 except IndexError: |
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638 if self._index == self._length: |
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639 raise StopIteration |
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640 self._cond.wait(timeout) |
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641 try: |
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642 item = self._items.popleft() |
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643 except IndexError: |
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644 if self._index == self._length: |
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645 raise StopIteration |
|
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646 raise TimeoutError |
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647 finally: |
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648 self._cond.release() |
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649 |
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650 success, value = item |
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651 if success: |
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652 return value |
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653 raise value |
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654 |
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655 __next__ = next # XXX |
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656 |
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657 def _set(self, i, obj): |
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658 self._cond.acquire() |
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659 try: |
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660 if self._index == i: |
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661 self._items.append(obj) |
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662 self._index += 1 |
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663 while self._index in self._unsorted: |
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664 obj = self._unsorted.pop(self._index) |
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665 self._items.append(obj) |
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666 self._index += 1 |
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667 self._cond.notify() |
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668 else: |
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669 self._unsorted[i] = obj |
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670 |
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671 if self._index == self._length: |
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672 del self._cache[self._job] |
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673 finally: |
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674 self._cond.release() |
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675 |
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676 def _set_length(self, length): |
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677 self._cond.acquire() |
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678 try: |
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679 self._length = length |
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680 if self._index == self._length: |
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681 self._cond.notify() |
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682 del self._cache[self._job] |
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683 finally: |
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684 self._cond.release() |
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685 |
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686 # |
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687 # Class whose instances are returned by `Pool.imap_unordered()` |
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688 # |
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689 |
|
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690 class IMapUnorderedIterator(IMapIterator): |
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691 |
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692 def _set(self, i, obj): |
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693 self._cond.acquire() |
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694 try: |
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695 self._items.append(obj) |
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696 self._index += 1 |
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697 self._cond.notify() |
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698 if self._index == self._length: |
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699 del self._cache[self._job] |
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700 finally: |
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701 self._cond.release() |
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702 |
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703 # |
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704 # |
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705 # |
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706 |
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707 class ThreadPool(Pool): |
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708 |
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709 from .dummy import Process |
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710 |
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711 def __init__(self, processes=None, initializer=None, initargs=()): |
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712 Pool.__init__(self, processes, initializer, initargs) |
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713 |
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714 def _setup_queues(self): |
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715 self._inqueue = Queue.Queue() |
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716 self._outqueue = Queue.Queue() |
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717 self._quick_put = self._inqueue.put |
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718 self._quick_get = self._outqueue.get |
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719 |
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720 @staticmethod |
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721 def _help_stuff_finish(inqueue, task_handler, size): |
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722 # put sentinels at head of inqueue to make workers finish |
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723 inqueue.not_empty.acquire() |
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724 try: |
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725 inqueue.queue.clear() |
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726 inqueue.queue.extend([None] * size) |
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727 inqueue.not_empty.notify_all() |
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728 finally: |
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729 inqueue.not_empty.release() |
