Closes #16135: Removal of OS/2 support

This commit is contained in:
Jesus Cea 2012-10-05 03:36:11 +02:00
parent fa7d5392d4
commit f01d695ccd
12 changed files with 111 additions and 133 deletions

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@ -1621,20 +1621,6 @@ _expectations = (
test_ossaudiodev test_ossaudiodev
test_socketserver test_socketserver
"""), """),
('os2emx',
"""
test_audioop
test_curses
test_epoll
test_kqueue
test_largefile
test_mmap
test_openpty
test_ossaudiodev
test_pty
test_resource
test_signal
"""),
('freebsd', ('freebsd',
""" """
test_devpoll test_devpoll

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@ -18,7 +18,7 @@ except ImportError:
bz2 = support.import_module('bz2') bz2 = support.import_module('bz2')
from bz2 import BZ2File, BZ2Compressor, BZ2Decompressor from bz2 import BZ2File, BZ2Compressor, BZ2Decompressor
has_cmdline_bunzip2 = sys.platform not in ("win32", "os2emx") has_cmdline_bunzip2 = (sys.platform != "win32")
class BaseTest(unittest.TestCase): class BaseTest(unittest.TestCase):
"Base for other testcases." "Base for other testcases."

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@ -596,7 +596,7 @@ class TestMaildir(TestMailbox, unittest.TestCase):
def setUp(self): def setUp(self):
TestMailbox.setUp(self) TestMailbox.setUp(self)
if os.name in ('nt', 'os2') or sys.platform == 'cygwin': if (os.name == 'nt') or (sys.platform == 'cygwin'):
self._box.colon = '!' self._box.colon = '!'
def assertMailboxEmpty(self): def assertMailboxEmpty(self):

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@ -5,8 +5,7 @@ import sys
import unittest import unittest
from test import support from test import support
@unittest.skipIf(sys.platform[:3] in ('win', 'os2') or \ @unittest.skipIf((sys.platform[:3]=='win') or (sys.platform=='riscos'),
sys.platform=='riscos'),
"can't easily test on this system") "can't easily test on this system")
class SelectTestCase(unittest.TestCase): class SelectTestCase(unittest.TestCase):

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@ -15,7 +15,7 @@ try:
except ImportError: except ImportError:
threading = None threading = None
if sys.platform in ('os2', 'riscos'): if sys.platform == 'riscos':
raise unittest.SkipTest("Can't test signal on %s" % sys.platform) raise unittest.SkipTest("Can't test signal on %s" % sys.platform)

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@ -222,7 +222,7 @@ class HelperFunctionsTests(unittest.TestCase):
site.PREFIXES = ['xoxo'] site.PREFIXES = ['xoxo']
dirs = site.getsitepackages() dirs = site.getsitepackages()
if sys.platform in ('os2emx', 'riscos'): if sys.platform == 'riscos':
self.assertEqual(len(dirs), 1) self.assertEqual(len(dirs), 1)
wanted = os.path.join('xoxo', 'Lib', 'site-packages') wanted = os.path.join('xoxo', 'Lib', 'site-packages')
self.assertEqual(dirs[0], wanted) self.assertEqual(dirs[0], wanted)

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@ -48,7 +48,6 @@ class TestUntestedModules(unittest.TestCase):
import macurl2path import macurl2path
import mailcap import mailcap
import nturl2path import nturl2path
import os2emxpath
import pstats import pstats
import py_compile import py_compile
import sndhdr import sndhdr

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@ -482,7 +482,7 @@ class SysModuleTest(unittest.TestCase):
def test_thread_info(self): def test_thread_info(self):
info = sys.thread_info info = sys.thread_info
self.assertEqual(len(info), 3) self.assertEqual(len(info), 3)
self.assertIn(info.name, ('nt', 'os2', 'pthread', 'solaris', None)) self.assertIn(info.name, ('nt', 'pthread', 'solaris', None))
self.assertIn(info.lock, ('semaphore', 'mutex+cond', None)) self.assertIn(info.lock, ('semaphore', 'mutex+cond', None))
def test_43581(self): def test_43581(self):

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@ -234,7 +234,7 @@ class TestSysConfig(unittest.TestCase):
self.assertTrue(os.path.isfile(config_h), config_h) self.assertTrue(os.path.isfile(config_h), config_h)
def test_get_scheme_names(self): def test_get_scheme_names(self):
wanted = ('nt', 'nt_user', 'os2', 'os2_home', 'osx_framework_user', wanted = ('nt', 'nt_user', 'osx_framework_user',
'posix_home', 'posix_prefix', 'posix_user') 'posix_home', 'posix_prefix', 'posix_user')
self.assertEqual(get_scheme_names(), wanted) self.assertEqual(get_scheme_names(), wanted)

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@ -68,7 +68,7 @@ class ThreadRunningTests(BasicThreadTest):
thread.stack_size(0) thread.stack_size(0)
self.assertEqual(thread.stack_size(), 0, "stack_size not reset to default") self.assertEqual(thread.stack_size(), 0, "stack_size not reset to default")
if os.name not in ("nt", "os2", "posix"): if os.name not in ("nt", "posix"):
return return
tss_supported = True tss_supported = True

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@ -8,7 +8,7 @@ from test.support import run_unittest, import_module
thread = import_module('_thread') thread = import_module('_thread')
import time import time
if sys.platform[:3] in ('win', 'os2') or sys.platform=='riscos': if (sys.platform[:3] == 'win') or (sys.platform=='riscos'):
raise unittest.SkipTest("Can't test signal on %s" % sys.platform) raise unittest.SkipTest("Can't test signal on %s" % sys.platform)
process_pid = os.getpid() process_pid = os.getpid()

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@ -4102,87 +4102,82 @@ unsigned char _Py_M__importlib[] = {
12,1,23,1,6,1,4,4,35,3,40,2,117,10,0,0, 12,1,23,1,6,1,4,4,35,3,40,2,117,10,0,0,
0,95,95,105,109,112,111,114,116,95,95,99,2,0,0,0, 0,95,95,105,109,112,111,114,116,95,95,99,2,0,0,0,
0,0,0,0,14,0,0,0,13,0,0,0,67,0,0,0, 0,0,0,0,14,0,0,0,13,0,0,0,67,0,0,0,
115,196,2,0,0,124,1,0,97,0,0,124,0,0,97,1, 115,141,2,0,0,124,1,0,97,0,0,124,0,0,97,1,
0,116,1,0,106,2,0,106,3,0,114,33,0,116,4,0, 0,116,1,0,106,2,0,106,3,0,114,33,0,116,4,0,
97,5,0,110,6,0,116,6,0,97,5,0,120,47,0,116, 97,5,0,110,6,0,116,6,0,97,5,0,120,47,0,116,
0,0,116,1,0,102,2,0,68,93,33,0,125,2,0,116, 0,0,116,1,0,102,2,0,68,93,33,0,125,2,0,116,
7,0,124,2,0,100,1,0,131,2,0,115,52,0,116,8, 7,0,124,2,0,100,1,0,131,2,0,115,52,0,116,8,
0,124,2,0,95,9,0,113,52,0,113,52,0,87,116,1, 0,124,2,0,95,9,0,113,52,0,113,52,0,87,116,1,
0,106,10,0,116,11,0,25,125,3,0,120,76,0,100,28, 0,106,10,0,116,11,0,25,125,3,0,120,76,0,100,25,
0,68,93,68,0,125,4,0,124,4,0,116,1,0,106,10, 0,68,93,68,0,125,4,0,124,4,0,116,1,0,106,10,
0,107,7,0,114,148,0,116,8,0,106,12,0,124,4,0, 0,107,7,0,114,148,0,116,8,0,106,12,0,124,4,0,
131,1,0,125,5,0,110,13,0,116,1,0,106,10,0,124, 131,1,0,125,5,0,110,13,0,116,1,0,106,10,0,124,
4,0,25,125,5,0,116,13,0,124,3,0,124,4,0,124, 4,0,25,125,5,0,116,13,0,124,3,0,124,4,0,124,
5,0,131,3,0,1,113,109,0,87,100,6,0,100,7,0, 5,0,131,3,0,1,113,109,0,87,100,6,0,100,7,0,
103,1,0,102,2,0,100,8,0,100,9,0,100,7,0,103, 103,1,0,102,2,0,100,8,0,100,9,0,100,7,0,103,
2,0,102,2,0,100,10,0,100,9,0,100,7,0,103,2, 2,0,102,2,0,102,2,0,125,6,0,120,149,0,124,6,
0,102,2,0,102,3,0,125,6,0,120,189,0,124,6,0, 0,68,93,129,0,92,2,0,125,7,0,125,8,0,116,14,
68,93,169,0,92,2,0,125,7,0,125,8,0,116,14,0, 0,100,10,0,100,11,0,132,0,0,124,8,0,68,131,1,
100,11,0,100,12,0,132,0,0,124,8,0,68,131,1,0, 0,131,1,0,115,8,1,116,15,0,130,1,0,124,8,0,
131,1,0,115,23,1,116,15,0,130,1,0,124,8,0,100, 100,12,0,25,125,9,0,124,7,0,116,1,0,106,10,0,
13,0,25,125,9,0,124,7,0,116,1,0,106,10,0,107, 107,6,0,114,50,1,116,1,0,106,10,0,124,7,0,25,
6,0,114,65,1,116,1,0,106,10,0,124,7,0,25,125, 125,10,0,80,113,221,0,121,20,0,116,8,0,106,12,0,
10,0,80,113,236,0,121,60,0,116,8,0,106,12,0,124, 124,7,0,131,1,0,125,10,0,80,87,113,221,0,4,116,
7,0,131,1,0,125,10,0,124,7,0,100,10,0,107,2, 16,0,107,10,0,114,93,1,1,1,1,119,221,0,89,113,
0,114,123,1,100,14,0,116,1,0,106,16,0,107,6,0, 221,0,88,113,221,0,87,116,16,0,100,13,0,131,1,0,
114,123,1,124,8,0,100,15,0,25,125,9,0,110,0,0, 130,1,0,121,19,0,116,8,0,106,12,0,100,14,0,131,
80,87,113,236,0,4,116,17,0,107,10,0,114,148,1,1, 1,0,125,11,0,87,110,24,0,4,116,16,0,107,10,0,
1,1,119,236,0,89,113,236,0,88,113,236,0,87,116,17, 114,155,1,1,1,1,100,24,0,125,11,0,89,110,1,0,
0,100,16,0,131,1,0,130,1,0,121,19,0,116,8,0, 88,116,8,0,106,12,0,100,15,0,131,1,0,125,12,0,
106,12,0,100,17,0,131,1,0,125,11,0,87,110,24,0, 124,7,0,100,8,0,107,2,0,114,217,1,116,8,0,106,
4,116,17,0,107,10,0,114,210,1,1,1,1,100,27,0, 12,0,100,16,0,131,1,0,125,13,0,116,13,0,124,3,
125,11,0,89,110,1,0,88,116,8,0,106,12,0,100,18, 0,100,17,0,124,13,0,131,3,0,1,110,0,0,116,13,
0,131,1,0,125,12,0,124,7,0,100,8,0,107,2,0, 0,124,3,0,100,18,0,124,10,0,131,3,0,1,116,13,
114,16,2,116,8,0,106,12,0,100,19,0,131,1,0,125, 0,124,3,0,100,14,0,124,11,0,131,3,0,1,116,13,
13,0,116,13,0,124,3,0,100,20,0,124,13,0,131,3, 0,124,3,0,100,15,0,124,12,0,131,3,0,1,116,13,
0,1,110,0,0,116,13,0,124,3,0,100,21,0,124,10, 0,124,3,0,100,19,0,124,9,0,131,3,0,1,116,13,
0,131,3,0,1,116,13,0,124,3,0,100,17,0,124,11, 0,124,3,0,100,20,0,116,18,0,124,8,0,131,1,0,
0,131,3,0,1,116,13,0,124,3,0,100,18,0,124,12, 131,3,0,1,116,13,0,124,3,0,100,21,0,116,19,0,
0,131,3,0,1,116,13,0,124,3,0,100,22,0,124,9, 131,0,0,131,3,0,1,116,20,0,106,21,0,116,0,0,
0,131,3,0,1,116,13,0,124,3,0,100,23,0,116,19, 106,22,0,131,0,0,131,1,0,1,124,7,0,100,8,0,
0,124,8,0,131,1,0,131,3,0,1,116,13,0,124,3, 107,2,0,114,137,2,116,23,0,106,24,0,100,22,0,131,
0,100,24,0,116,20,0,131,0,0,131,3,0,1,116,21, 1,0,1,100,23,0,116,20,0,107,6,0,114,137,2,100,
0,106,22,0,116,0,0,106,23,0,131,0,0,131,1,0, 26,0,116,26,0,95,27,0,113,137,2,110,0,0,100,24,
1,124,7,0,100,8,0,107,2,0,114,192,2,116,24,0, 0,83,40,27,0,0,0,117,250,0,0,0,83,101,116,117,
106,25,0,100,25,0,131,1,0,1,100,26,0,116,21,0, 112,32,105,109,112,111,114,116,108,105,98,32,98,121,32,105,
107,6,0,114,192,2,100,29,0,116,27,0,95,28,0,113, 109,112,111,114,116,105,110,103,32,110,101,101,100,101,100,32,
192,2,110,0,0,100,27,0,83,40,30,0,0,0,117,250, 98,117,105,108,116,45,105,110,32,109,111,100,117,108,101,115,
0,0,0,83,101,116,117,112,32,105,109,112,111,114,116,108, 32,97,110,100,32,105,110,106,101,99,116,105,110,103,32,116,
105,98,32,98,121,32,105,109,112,111,114,116,105,110,103,32, 104,101,109,10,32,32,32,32,105,110,116,111,32,116,104,101,
110,101,101,100,101,100,32,98,117,105,108,116,45,105,110,32, 32,103,108,111,98,97,108,32,110,97,109,101,115,112,97,99,
109,111,100,117,108,101,115,32,97,110,100,32,105,110,106,101, 101,46,10,10,32,32,32,32,65,115,32,115,121,115,32,105,
99,116,105,110,103,32,116,104,101,109,10,32,32,32,32,105, 115,32,110,101,101,100,101,100,32,102,111,114,32,115,121,115,
110,116,111,32,116,104,101,32,103,108,111,98,97,108,32,110, 46,109,111,100,117,108,101,115,32,97,99,99,101,115,115,32,
97,109,101,115,112,97,99,101,46,10,10,32,32,32,32,65, 97,110,100,32,95,105,109,112,32,105,115,32,110,101,101,100,
115,32,115,121,115,32,105,115,32,110,101,101,100,101,100,32, 101,100,32,116,111,32,108,111,97,100,32,98,117,105,108,116,
102,111,114,32,115,121,115,46,109,111,100,117,108,101,115,32, 45,105,110,10,32,32,32,32,109,111,100,117,108,101,115,44,
97,99,99,101,115,115,32,97,110,100,32,95,105,109,112,32, 32,116,104,111,115,101,32,116,119,111,32,109,111,100,117,108,
105,115,32,110,101,101,100,101,100,32,116,111,32,108,111,97, 101,115,32,109,117,115,116,32,98,101,32,101,120,112,108,105,
100,32,98,117,105,108,116,45,105,110,10,32,32,32,32,109, 99,105,116,108,121,32,112,97,115,115,101,100,32,105,110,46,
111,100,117,108,101,115,44,32,116,104,111,115,101,32,116,119, 10,10,32,32,32,32,117,10,0,0,0,95,95,108,111,97,
111,32,109,111,100,117,108,101,115,32,109,117,115,116,32,98, 100,101,114,95,95,117,3,0,0,0,95,105,111,117,9,0,
101,32,101,120,112,108,105,99,105,116,108,121,32,112,97,115, 0,0,95,119,97,114,110,105,110,103,115,117,8,0,0,0,
115,101,100,32,105,110,46,10,10,32,32,32,32,117,10,0, 98,117,105,108,116,105,110,115,117,7,0,0,0,109,97,114,
0,0,95,95,108,111,97,100,101,114,95,95,117,3,0,0, 115,104,97,108,117,5,0,0,0,112,111,115,105,120,117,1,
0,95,105,111,117,9,0,0,0,95,119,97,114,110,105,110, 0,0,0,47,117,2,0,0,0,110,116,117,1,0,0,0,
103,115,117,8,0,0,0,98,117,105,108,116,105,110,115,117, 92,99,1,0,0,0,0,0,0,0,2,0,0,0,3,0,
7,0,0,0,109,97,114,115,104,97,108,117,5,0,0,0, 0,0,115,0,0,0,115,33,0,0,0,124,0,0,93,23,
112,111,115,105,120,117,1,0,0,0,47,117,2,0,0,0, 0,125,1,0,116,0,0,124,1,0,131,1,0,100,0,0,
110,116,117,1,0,0,0,92,117,3,0,0,0,111,115,50, 107,2,0,86,1,113,3,0,100,1,0,83,40,2,0,0,
99,1,0,0,0,0,0,0,0,2,0,0,0,3,0,0, 0,105,1,0,0,0,78,40,1,0,0,0,117,3,0,0,
0,115,0,0,0,115,33,0,0,0,124,0,0,93,23,0, 0,108,101,110,40,2,0,0,0,117,2,0,0,0,46,48,
125,1,0,116,0,0,124,1,0,131,1,0,100,0,0,107, 117,3,0,0,0,115,101,112,40,0,0,0,0,40,0,0,
2,0,86,1,113,3,0,100,1,0,83,40,2,0,0,0, 0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,105,
105,1,0,0,0,78,40,1,0,0,0,117,3,0,0,0, 109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,116,
108,101,110,40,2,0,0,0,117,2,0,0,0,46,48,117, 114,97,112,62,117,9,0,0,0,60,103,101,110,101,120,112,
3,0,0,0,115,101,112,40,0,0,0,0,40,0,0,0, 114,62,179,6,0,0,115,2,0,0,0,6,0,117,25,0,
0,117,29,0,0,0,60,102,114,111,122,101,110,32,105,109, 0,0,95,115,101,116,117,112,46,60,108,111,99,97,108,115,
112,111,114,116,108,105,98,46,95,98,111,111,116,115,116,114, 62,46,60,103,101,110,101,120,112,114,62,105,0,0,0,0,
97,112,62,117,9,0,0,0,60,103,101,110,101,120,112,114,
62,179,6,0,0,115,2,0,0,0,6,0,117,25,0,0,
0,95,115,101,116,117,112,46,60,108,111,99,97,108,115,62,
46,60,103,101,110,101,120,112,114,62,105,0,0,0,0,117,
7,0,0,0,69,77,88,32,71,67,67,105,1,0,0,0,
117,30,0,0,0,105,109,112,111,114,116,108,105,98,32,114, 117,30,0,0,0,105,109,112,111,114,116,108,105,98,32,114,
101,113,117,105,114,101,115,32,112,111,115,105,120,32,111,114, 101,113,117,105,114,101,115,32,112,111,115,105,120,32,111,114,
32,110,116,117,7,0,0,0,95,116,104,114,101,97,100,117, 32,110,116,117,7,0,0,0,95,116,104,114,101,97,100,117,
@ -4196,7 +4191,7 @@ unsigned char _Py_M__importlib[] = {
78,40,4,0,0,0,117,3,0,0,0,95,105,111,117,9, 78,40,4,0,0,0,117,3,0,0,0,95,105,111,117,9,
0,0,0,95,119,97,114,110,105,110,103,115,117,8,0,0, 0,0,0,95,119,97,114,110,105,110,103,115,117,8,0,0,
0,98,117,105,108,116,105,110,115,117,7,0,0,0,109,97, 0,98,117,105,108,116,105,110,115,117,7,0,0,0,109,97,
114,115,104,97,108,84,40,29,0,0,0,117,4,0,0,0, 114,115,104,97,108,84,40,28,0,0,0,117,4,0,0,0,
95,105,109,112,117,3,0,0,0,115,121,115,117,5,0,0, 95,105,109,112,117,3,0,0,0,115,121,115,117,5,0,0,
0,102,108,97,103,115,117,8,0,0,0,111,112,116,105,109, 0,102,108,97,103,115,117,8,0,0,0,111,112,116,105,109,
105,122,101,117,27,0,0,0,79,80,84,73,77,73,90,69, 105,122,101,117,27,0,0,0,79,80,84,73,77,73,90,69,
@ -4212,41 +4207,40 @@ unsigned char _Py_M__importlib[] = {
0,0,108,111,97,100,95,109,111,100,117,108,101,117,7,0, 0,0,108,111,97,100,95,109,111,100,117,108,101,117,7,0,
0,0,115,101,116,97,116,116,114,117,3,0,0,0,97,108, 0,0,115,101,116,97,116,116,114,117,3,0,0,0,97,108,
108,117,14,0,0,0,65,115,115,101,114,116,105,111,110,69, 108,117,14,0,0,0,65,115,115,101,114,116,105,111,110,69,
114,114,111,114,117,7,0,0,0,118,101,114,115,105,111,110, 114,114,111,114,117,11,0,0,0,73,109,112,111,114,116,69,
117,11,0,0,0,73,109,112,111,114,116,69,114,114,111,114, 114,114,111,114,117,4,0,0,0,78,111,110,101,117,3,0,
117,4,0,0,0,78,111,110,101,117,3,0,0,0,115,101, 0,0,115,101,116,117,16,0,0,0,95,109,97,107,101,95,
116,117,16,0,0,0,95,109,97,107,101,95,114,101,108,97, 114,101,108,97,120,95,99,97,115,101,117,18,0,0,0,69,
120,95,99,97,115,101,117,18,0,0,0,69,88,84,69,78, 88,84,69,78,83,73,79,78,95,83,85,70,70,73,88,69,
83,73,79,78,95,83,85,70,70,73,88,69,83,117,6,0, 83,117,6,0,0,0,101,120,116,101,110,100,117,18,0,0,
0,0,101,120,116,101,110,100,117,18,0,0,0,101,120,116, 0,101,120,116,101,110,115,105,111,110,95,115,117,102,102,105,
101,110,115,105,111,110,95,115,117,102,102,105,120,101,115,117, 120,101,115,117,15,0,0,0,83,79,85,82,67,69,95,83,
15,0,0,0,83,79,85,82,67,69,95,83,85,70,70,73, 85,70,70,73,88,69,83,117,6,0,0,0,97,112,112,101,
88,69,83,117,6,0,0,0,97,112,112,101,110,100,117,4, 110,100,117,4,0,0,0,84,114,117,101,117,21,0,0,0,
0,0,0,84,114,117,101,117,21,0,0,0,87,105,110,100, 87,105,110,100,111,119,115,82,101,103,105,115,116,114,121,70,
111,119,115,82,101,103,105,115,116,114,121,70,105,110,100,101, 105,110,100,101,114,117,11,0,0,0,68,69,66,85,71,95,
114,117,11,0,0,0,68,69,66,85,71,95,66,85,73,76, 66,85,73,76,68,40,14,0,0,0,117,10,0,0,0,115,
68,40,14,0,0,0,117,10,0,0,0,115,121,115,95,109, 121,115,95,109,111,100,117,108,101,117,11,0,0,0,95,105,
111,100,117,108,101,117,11,0,0,0,95,105,109,112,95,109, 109,112,95,109,111,100,117,108,101,117,6,0,0,0,109,111,
111,100,117,108,101,117,6,0,0,0,109,111,100,117,108,101, 100,117,108,101,117,11,0,0,0,115,101,108,102,95,109,111,
117,11,0,0,0,115,101,108,102,95,109,111,100,117,108,101, 100,117,108,101,117,12,0,0,0,98,117,105,108,116,105,110,
117,12,0,0,0,98,117,105,108,116,105,110,95,110,97,109, 95,110,97,109,101,117,14,0,0,0,98,117,105,108,116,105,
101,117,14,0,0,0,98,117,105,108,116,105,110,95,109,111, 110,95,109,111,100,117,108,101,117,10,0,0,0,111,115,95,
100,117,108,101,117,10,0,0,0,111,115,95,100,101,116,97, 100,101,116,97,105,108,115,117,10,0,0,0,98,117,105,108,
105,108,115,117,10,0,0,0,98,117,105,108,116,105,110,95, 116,105,110,95,111,115,117,15,0,0,0,112,97,116,104,95,
111,115,117,15,0,0,0,112,97,116,104,95,115,101,112,97, 115,101,112,97,114,97,116,111,114,115,117,8,0,0,0,112,
114,97,116,111,114,115,117,8,0,0,0,112,97,116,104,95, 97,116,104,95,115,101,112,117,9,0,0,0,111,115,95,109,
115,101,112,117,9,0,0,0,111,115,95,109,111,100,117,108, 111,100,117,108,101,117,13,0,0,0,116,104,114,101,97,100,
101,117,13,0,0,0,116,104,114,101,97,100,95,109,111,100, 95,109,111,100,117,108,101,117,14,0,0,0,119,101,97,107,
117,108,101,117,14,0,0,0,119,101,97,107,114,101,102,95, 114,101,102,95,109,111,100,117,108,101,117,13,0,0,0,119,
109,111,100,117,108,101,117,13,0,0,0,119,105,110,114,101, 105,110,114,101,103,95,109,111,100,117,108,101,40,0,0,0,
103,95,109,111,100,117,108,101,40,0,0,0,0,40,0,0, 0,40,0,0,0,0,117,29,0,0,0,60,102,114,111,122,
0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,105, 101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,111,
109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,116, 111,116,115,116,114,97,112,62,117,6,0,0,0,95,115,101,
114,97,112,62,117,6,0,0,0,95,115,101,116,117,112,147, 116,117,112,147,6,0,0,115,92,0,0,0,0,9,6,1,
6,0,0,115,96,0,0,0,0,9,6,1,6,2,12,1, 6,2,12,1,9,2,6,2,19,1,15,1,16,2,13,1,
9,2,6,2,19,1,15,1,16,2,13,1,13,1,15,1, 13,1,15,1,18,2,13,1,20,2,33,1,19,2,31,1,
18,2,13,1,20,2,48,1,19,2,31,1,10,1,15,1, 10,1,15,1,13,1,4,2,3,1,15,1,5,1,13,1,
13,1,4,2,3,1,15,2,27,1,13,1,5,1,13,1,
12,2,12,2,3,1,19,1,13,2,11,1,15,2,12,1, 12,2,12,2,3,1,19,1,13,2,11,1,15,2,12,1,
15,1,19,2,16,1,16,1,16,1,16,1,22,2,19,1, 15,1,19,2,16,1,16,1,16,1,16,1,22,2,19,1,
19,1,12,1,13,1,12,1,117,6,0,0,0,95,115,101, 19,1,12,1,13,1,12,1,117,6,0,0,0,95,115,101,
@ -4286,7 +4280,7 @@ unsigned char _Py_M__importlib[] = {
40,0,0,0,0,40,0,0,0,0,117,29,0,0,0,60, 40,0,0,0,0,40,0,0,0,0,117,29,0,0,0,60,
102,114,111,122,101,110,32,105,109,112,111,114,116,108,105,98, 102,114,111,122,101,110,32,105,109,112,111,114,116,108,105,98,
46,95,98,111,111,116,115,116,114,97,112,62,117,8,0,0, 46,95,98,111,111,116,115,116,114,97,112,62,117,8,0,0,
0,95,105,110,115,116,97,108,108,221,6,0,0,115,16,0, 0,95,105,110,115,116,97,108,108,218,6,0,0,115,16,0,
0,0,0,2,13,1,9,1,28,1,16,1,16,1,15,1, 0,0,0,2,13,1,9,1,28,1,16,1,16,1,15,1,
19,1,117,8,0,0,0,95,105,110,115,116,97,108,108,78, 19,1,117,8,0,0,0,95,105,110,115,116,97,108,108,78,
40,3,0,0,0,117,3,0,0,0,119,105,110,117,6,0, 40,3,0,0,0,117,3,0,0,0,119,105,110,117,6,0,
@ -4389,5 +4383,5 @@ unsigned char _Py_M__importlib[] = {
18,12,11,12,11,12,17,19,57,19,54,19,50,19,82,22, 18,12,11,12,11,12,17,19,57,19,54,19,50,19,82,22,
134,19,29,25,46,25,25,6,3,19,45,19,55,19,18,19, 134,19,29,25,46,25,25,6,3,19,45,19,55,19,18,19,
89,19,125,19,13,12,9,12,17,12,17,6,2,12,50,12, 89,19,125,19,13,12,9,12,17,12,17,6,2,12,50,12,
13,18,24,12,34,12,15,12,11,24,36,12,74, 13,18,24,12,34,12,15,12,11,24,36,12,71,
}; };