mirror of https://github.com/python/cpython
Issue #25280: Import trace messages emitted in verbose (-v) mode are no
longer formatted twice.
This commit is contained in:
Serhiy Storchaka
parent
78cc2e8968
commit
f731bc09fa
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@ -620,15 +620,15 @@ def _validate_bytecode_header(data, source_stats=None, name=None, path=None):
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raw_size = data[8:12]
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if magic != MAGIC_NUMBER:
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message = 'bad magic number in {!r}: {!r}'.format(name, magic)
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_verbose_message(message)
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_verbose_message('{}', message)
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raise ImportError(message, **exc_details)
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elif len(raw_timestamp) != 4:
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message = 'reached EOF while reading timestamp in {!r}'.format(name)
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_verbose_message(message)
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_verbose_message('{}', message)
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raise EOFError(message)
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elif len(raw_size) != 4:
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message = 'reached EOF while reading size of source in {!r}'.format(name)
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_verbose_message(message)
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_verbose_message('{}', message)
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raise EOFError(message)
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if source_stats is not None:
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try:
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@ -638,7 +638,7 @@ def _validate_bytecode_header(data, source_stats=None, name=None, path=None):
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else:
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if _r_long(raw_timestamp) != source_mtime:
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message = 'bytecode is stale for {!r}'.format(name)
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_verbose_message(message)
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_verbose_message('{}', message)
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raise ImportError(message, **exc_details)
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try:
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source_size = source_stats['size'] & 0xFFFFFFFF
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@ -10,6 +10,9 @@ Release date: tba
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Core and Builtins
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-----------------
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- Issue #25280: Import trace messages emitted in verbose (-v) mode are no
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longer formatted twice.
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- Issue #25003: os.urandom() doesn't use getentropy() on Solaris because
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getentropy() is blocking, whereas os.urandom() should not block. getentropy()
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is supported since Solaris 11.3.
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@ -1062,7 +1062,7 @@ const unsigned char _Py_M__importlib[] = {
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101,95,115,104,105,109,71,2,0,0,115,14,0,0,0,0,
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6,15,1,12,1,15,1,13,1,13,1,11,2,114,181,0,
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0,0,99,4,0,0,0,0,0,0,0,11,0,0,0,19,
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0,0,0,67,0,0,0,115,243,1,0,0,105,0,0,125,
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0,0,0,67,0,0,0,115,255,1,0,0,105,0,0,125,
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4,0,124,2,0,100,1,0,107,9,0,114,31,0,124,2,
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0,124,4,0,100,2,0,60,110,6,0,100,3,0,125,2,
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0,124,3,0,100,1,0,107,9,0,114,62,0,124,3,0,
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@ -1070,59 +1070,60 @@ const unsigned char _Py_M__importlib[] = {
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100,5,0,133,2,0,25,125,5,0,124,0,0,100,5,0,
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100,6,0,133,2,0,25,125,6,0,124,0,0,100,6,0,
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100,7,0,133,2,0,25,125,7,0,124,5,0,116,0,0,
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107,3,0,114,168,0,100,8,0,106,1,0,124,2,0,124,
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5,0,131,2,0,125,8,0,116,2,0,124,8,0,131,1,
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0,1,116,3,0,124,8,0,124,4,0,141,1,0,130,1,
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0,110,116,0,116,4,0,124,6,0,131,1,0,100,5,0,
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107,3,0,114,226,0,100,9,0,106,1,0,124,2,0,131,
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1,0,125,8,0,116,2,0,124,8,0,131,1,0,1,116,
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5,0,124,8,0,131,1,0,130,1,0,110,58,0,116,4,
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0,124,7,0,131,1,0,100,5,0,107,3,0,114,28,1,
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100,10,0,106,1,0,124,2,0,131,1,0,125,8,0,116,
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2,0,124,8,0,131,1,0,1,116,5,0,124,8,0,131,
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1,0,130,1,0,110,0,0,124,1,0,100,1,0,107,9,
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0,114,229,1,121,20,0,116,6,0,124,1,0,100,11,0,
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25,131,1,0,125,9,0,87,110,18,0,4,116,7,0,107,
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10,0,114,80,1,1,1,1,89,110,62,0,88,116,8,0,
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124,6,0,131,1,0,124,9,0,107,3,0,114,142,1,100,
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12,0,106,1,0,124,2,0,131,1,0,125,8,0,116,2,
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0,124,8,0,131,1,0,1,116,3,0,124,8,0,124,4,
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0,141,1,0,130,1,0,110,0,0,121,18,0,124,1,0,
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100,13,0,25,100,14,0,64,125,10,0,87,110,18,0,4,
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116,7,0,107,10,0,114,180,1,1,1,1,89,113,229,1,
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88,116,8,0,124,7,0,131,1,0,124,10,0,107,3,0,
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114,229,1,116,3,0,100,12,0,106,1,0,124,2,0,131,
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1,0,124,4,0,141,1,0,130,1,0,113,229,1,110,0,
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0,124,0,0,100,7,0,100,1,0,133,2,0,25,83,41,
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15,97,122,1,0,0,86,97,108,105,100,97,116,101,32,116,
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104,101,32,104,101,97,100,101,114,32,111,102,32,116,104,101,
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32,112,97,115,115,101,100,45,105,110,32,98,121,116,101,99,
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111,100,101,32,97,103,97,105,110,115,116,32,115,111,117,114,
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99,101,95,115,116,97,116,115,32,40,105,102,10,32,32,32,
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32,103,105,118,101,110,41,32,97,110,100,32,114,101,116,117,
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114,110,105,110,103,32,116,104,101,32,98,121,116,101,99,111,
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100,101,32,116,104,97,116,32,99,97,110,32,98,101,32,99,
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111,109,112,105,108,101,100,32,98,121,32,99,111,109,112,105,
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108,101,40,41,46,10,10,32,32,32,32,65,108,108,32,111,
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116,104,101,114,32,97,114,103,117,109,101,110,116,115,32,97,
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114,101,32,117,115,101,100,32,116,111,32,101,110,104,97,110,
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99,101,32,101,114,114,111,114,32,114,101,112,111,114,116,105,
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110,103,46,10,10,32,32,32,32,73,109,112,111,114,116,69,
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114,114,111,114,32,105,115,32,114,97,105,115,101,100,32,119,
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104,101,110,32,116,104,101,32,109,97,103,105,99,32,110,117,
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109,98,101,114,32,105,115,32,105,110,99,111,114,114,101,99,
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116,32,111,114,32,116,104,101,32,98,121,116,101,99,111,100,
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101,32,105,115,10,32,32,32,32,102,111,117,110,100,32,116,
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111,32,98,101,32,115,116,97,108,101,46,32,69,79,70,69,
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114,114,111,114,32,105,115,32,114,97,105,115,101,100,32,119,
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104,101,110,32,116,104,101,32,100,97,116,97,32,105,115,32,
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102,111,117,110,100,32,116,111,32,98,101,10,32,32,32,32,
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116,114,117,110,99,97,116,101,100,46,10,10,32,32,32,32,
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78,114,67,0,0,0,122,10,60,98,121,116,101,99,111,100,
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101,62,114,35,0,0,0,114,12,0,0,0,233,8,0,0,
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0,233,12,0,0,0,122,30,98,97,100,32,109,97,103,105,
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99,32,110,117,109,98,101,114,32,105,110,32,123,33,114,125,
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58,32,123,33,114,125,122,43,114,101,97,99,104,101,100,32,
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107,3,0,114,171,0,100,8,0,106,1,0,124,2,0,124,
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5,0,131,2,0,125,8,0,116,2,0,100,9,0,124,8,
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0,131,2,0,1,116,3,0,124,8,0,124,4,0,141,1,
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0,130,1,0,110,122,0,116,4,0,124,6,0,131,1,0,
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100,5,0,107,3,0,114,232,0,100,10,0,106,1,0,124,
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2,0,131,1,0,125,8,0,116,2,0,100,9,0,124,8,
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0,131,2,0,1,116,5,0,124,8,0,131,1,0,130,1,
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0,110,61,0,116,4,0,124,7,0,131,1,0,100,5,0,
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107,3,0,114,37,1,100,11,0,106,1,0,124,2,0,131,
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1,0,125,8,0,116,2,0,100,9,0,124,8,0,131,2,
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0,1,116,5,0,124,8,0,131,1,0,130,1,0,110,0,
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0,124,1,0,100,1,0,107,9,0,114,241,1,121,20,0,
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116,6,0,124,1,0,100,12,0,25,131,1,0,125,9,0,
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87,110,18,0,4,116,7,0,107,10,0,114,89,1,1,1,
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1,89,110,65,0,88,116,8,0,124,6,0,131,1,0,124,
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9,0,107,3,0,114,154,1,100,13,0,106,1,0,124,2,
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0,131,1,0,125,8,0,116,2,0,100,9,0,124,8,0,
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131,2,0,1,116,3,0,124,8,0,124,4,0,141,1,0,
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130,1,0,110,0,0,121,18,0,124,1,0,100,14,0,25,
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100,15,0,64,125,10,0,87,110,18,0,4,116,7,0,107,
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10,0,114,192,1,1,1,1,89,113,241,1,88,116,8,0,
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124,7,0,131,1,0,124,10,0,107,3,0,114,241,1,116,
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3,0,100,13,0,106,1,0,124,2,0,131,1,0,124,4,
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0,141,1,0,130,1,0,113,241,1,110,0,0,124,0,0,
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100,7,0,100,1,0,133,2,0,25,83,41,16,97,122,1,
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0,0,86,97,108,105,100,97,116,101,32,116,104,101,32,104,
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101,97,100,101,114,32,111,102,32,116,104,101,32,112,97,115,
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115,101,100,45,105,110,32,98,121,116,101,99,111,100,101,32,
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97,103,97,105,110,115,116,32,115,111,117,114,99,101,95,115,
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116,97,116,115,32,40,105,102,10,32,32,32,32,103,105,118,
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101,110,41,32,97,110,100,32,114,101,116,117,114,110,105,110,
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103,32,116,104,101,32,98,121,116,101,99,111,100,101,32,116,
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104,97,116,32,99,97,110,32,98,101,32,99,111,109,112,105,
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108,101,100,32,98,121,32,99,111,109,112,105,108,101,40,41,
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46,10,10,32,32,32,32,65,108,108,32,111,116,104,101,114,
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32,97,114,103,117,109,101,110,116,115,32,97,114,101,32,117,
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115,101,100,32,116,111,32,101,110,104,97,110,99,101,32,101,
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114,114,111,114,32,114,101,112,111,114,116,105,110,103,46,10,
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10,32,32,32,32,73,109,112,111,114,116,69,114,114,111,114,
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32,105,115,32,114,97,105,115,101,100,32,119,104,101,110,32,
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116,104,101,32,109,97,103,105,99,32,110,117,109,98,101,114,
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32,105,115,32,105,110,99,111,114,114,101,99,116,32,111,114,
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32,116,104,101,32,98,121,116,101,99,111,100,101,32,105,115,
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10,32,32,32,32,102,111,117,110,100,32,116,111,32,98,101,
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32,115,116,97,108,101,46,32,69,79,70,69,114,114,111,114,
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32,105,115,32,114,97,105,115,101,100,32,119,104,101,110,32,
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116,104,101,32,100,97,116,97,32,105,115,32,102,111,117,110,
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100,32,116,111,32,98,101,10,32,32,32,32,116,114,117,110,
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99,97,116,101,100,46,10,10,32,32,32,32,78,114,67,0,
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0,0,122,10,60,98,121,116,101,99,111,100,101,62,114,35,
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0,0,0,114,12,0,0,0,233,8,0,0,0,233,12,0,
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0,0,122,30,98,97,100,32,109,97,103,105,99,32,110,117,
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109,98,101,114,32,105,110,32,123,33,114,125,58,32,123,33,
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114,125,122,2,123,125,122,43,114,101,97,99,104,101,100,32,
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69,79,70,32,119,104,105,108,101,32,114,101,97,100,105,110,
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103,32,116,105,109,101,115,116,97,109,112,32,105,110,32,123,
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33,114,125,122,48,114,101,97,99,104,101,100,32,69,79,70,
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@ -1146,9 +1147,9 @@ const unsigned char _Py_M__importlib[] = {
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0,218,25,95,118,97,108,105,100,97,116,101,95,98,121,116,
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101,99,111,100,101,95,104,101,97,100,101,114,87,2,0,0,
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115,76,0,0,0,0,11,6,1,12,1,13,3,6,1,12,
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1,13,1,16,1,16,1,16,1,12,1,18,1,10,1,18,
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1,18,1,15,1,10,1,15,1,18,1,15,1,10,1,15,
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1,12,1,3,1,20,1,13,1,5,2,18,1,15,1,10,
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1,13,1,16,1,16,1,16,1,12,1,18,1,13,1,18,
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1,18,1,15,1,13,1,15,1,18,1,15,1,13,1,15,
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1,12,1,3,1,20,1,13,1,5,2,18,1,15,1,13,
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1,18,1,3,1,18,1,13,1,5,2,18,1,15,1,15,
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1,114,191,0,0,0,99,4,0,0,0,0,0,0,0,5,
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0,0,0,6,0,0,0,67,0,0,0,115,115,0,0,0,
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