/
__init__.py
executable file
·240 lines (206 loc) · 7.02 KB
/
__init__.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
#
# Package analogous to 'threading.py' but using processes
#
# processing/__init__.py
#
# This package is intended to duplicate the functionality (and much of
# the API) of threading.py but uses processes instead of threads. A
# subpackage 'processing.dummy' has the same API but is a simple
# wrapper for 'threading'.
#
# Try calling `processing.doc.main()` to read the html documentation in
# in a webbrowser.
#
#
# Copyright (c) 2006-2008, R Oudkerk
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# 3. Neither the name of author nor the names of any contributors may be
# used to endorse or promote products derived from this software
# without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE AUTHOR AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHOR OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS
# OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
# HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
# LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY
# OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF
#
__version__ = '0.52.2.dev0'
__all__ = [
'Process', 'currentProcess', 'activeChildren', 'freezeSupport',
'Manager', 'Pipe', 'cpuCount', 'getLogger', 'enableLogging',
'BufferTooShort'
]
#
# Absolute imports
#
import os
import sys
#
# Relative imports - Python 2.4 does not have relative import syntax
#
import _processing
from process import Process, currentProcess, activeChildren
from logger import NOTSET, SUBDEBUG, DEBUG, INFO, SUBWARNING
#
#
#
HAVE_NATIVE_SEMAPHORE = hasattr(_processing, 'SemLock')
ORIGINAL_DIR = os.path.abspath(os.getcwd())
#
# Definitions not depending on native semaphores
#
ProcessError = _processing.ProcessError
BufferTooShort = _processing.BufferTooShort
def Manager():
'''
Returns a manager associated with a running server process
The managers methods such as `Lock()`, `Condition()` and `Queue()`
can be used to create shared objects.
'''
from processing.managers import SyncManager
m = SyncManager()
m.start()
return m
def Pipe(duplex=True):
'''
Returns two connection object connected by a pipe
'''
from processing.connection import Pipe
return Pipe(duplex)
def cpuCount():
'''
Returns the number of CPUs in the system
'''
if sys.platform == 'win32':
try:
num = int(os.environ['NUMBER_OF_PROCESSORS'])
except (ValueError, KeyError):
num = 0
elif sys.platform == 'darwin':
try:
num = int(os.popen('sysctl -n hw.ncpu').read())
except ValueError:
num = 0
else:
try:
num = os.sysconf('SC_NPROCESSORS_ONLN')
except (ValueError, OSError, AttributeError):
num = 0
if num >= 1:
return num
else:
raise NotImplementedError, 'cannot determine number of cpus'
def getLogger():
'''
Returns logger used by processing
'''
from processing.logger import getLogger
return getLogger()
def enableLogging(level, HandlerType=None, handlerArgs=(), format=None):
'''
Enable logging using `level` as the debug level
'''
from processing.logger import enableLogging
return enableLogging(level, HandlerType, handlerArgs, format)
def freezeSupport():
'''
Check whether this is a fake forked process in a frozen executable.
If so then run code specified by commandline and exit.
'''
if sys.platform == 'win32' and getattr(sys, 'frozen', False):
from processing.forking import freezeSupport
freezeSupport()
def waitForAnyChild(block=True):
'''
Wait for a child process returning (pid, exitcode, process_object).
Similar to os.wait() but plays nicely with `processing`:
waitForAnyChild()[:2] is equivalent to os.wait().
'''
from processing.forking import waitForAnyChild
return waitForAnyChild(block)
#
# Definitions depending on native semaphores
#
if HAVE_NATIVE_SEMAPHORE:
__all__ += [
'TimeoutError', 'Lock', 'RLock', 'Semaphore',
'BoundedSemaphore', 'Condition', 'Event', 'Queue', 'Pool',
'Value', 'Array'
]
class TimeoutError(ProcessError):
pass
def Lock():
'''
Returns a non-recursive lock object
'''
from processing.synchronize import Lock
return Lock()
def RLock():
'''
Returns a recursive lock object
'''
from processing.synchronize import RLock
return RLock()
def Condition(lock=None):
'''
Returns a condition object
'''
from processing.synchronize import Condition
return Condition(lock)
def Semaphore(value=1):
'''
Returns a semaphore object
'''
from processing.synchronize import Semaphore
return Semaphore(value)
def BoundedSemaphore(value=1):
'''
Returns a bounded object
'''
from processing.synchronize import BoundedSemaphore
return BoundedSemaphore(value)
def Event():
'''
Returns an event object
'''
from processing.synchronize import Event
return Event()
def Queue(maxsize=0):
'''
Returns a queue object implemented using a pipe
'''
from processing.queue import Queue
return Queue(maxsize)
def Pool(processes=None, initializer=None, initargs=()):
'''
Returns a process pool object
'''
from processing.pool import Pool
return Pool(processes, initializer, initargs)
def Value(typecode_or_type, *args, **kwds):
'''
Returns a shared object
'''
from processing.sharedctypes import Value
return Value(typecode_or_type, *args, **kwds)
def Array(typecode_or_type, size_or_initializer, **kwds):
'''
Returns a shared array
'''
from processing.sharedctypes import Array
return Array(typecode_or_type, size_or_initializer, **kwds)