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-rw-r--r--Doc/library/importlib.rst6
-rw-r--r--Lib/importlib/_bootstrap.py5
-rw-r--r--Lib/importlib/abc.py2
-rw-r--r--Misc/NEWS2
-rw-r--r--Python/importlib.h402
5 files changed, 193 insertions, 224 deletions
diff --git a/Doc/library/importlib.rst b/Doc/library/importlib.rst
index 78187b8..efd027b 100644
--- a/Doc/library/importlib.rst
+++ b/Doc/library/importlib.rst
@@ -800,7 +800,7 @@ find and load modules.
.. class:: ExtensionFileLoader(fullname, path)
- A concrete implementation of :class:`importlib.abc.ExecutionLoader` for
+ A concrete implementation of :class:`importlib.abc.InspectLoader` for
extension modules.
The *fullname* argument specifies the name of the module the loader is to
@@ -834,10 +834,6 @@ find and load modules.
Returns ``None`` as extension modules do not have source code.
- .. method:: get_filename(fullname)
-
- Returns :attr:`path`.
-
:mod:`importlib.util` -- Utility code for importers
---------------------------------------------------
diff --git a/Lib/importlib/_bootstrap.py b/Lib/importlib/_bootstrap.py
index 83c51f8..e40ec92 100644
--- a/Lib/importlib/_bootstrap.py
+++ b/Lib/importlib/_bootstrap.py
@@ -1153,11 +1153,6 @@ class ExtensionFileLoader:
"""Return None as extension modules have no source code."""
return None
- @_check_name
- def get_filename(self, fullname):
- """Return the path to the source file as found by the finder."""
- return self.path
-
class _NamespacePath:
"""Represents a namespace package's path. It uses the module name
diff --git a/Lib/importlib/abc.py b/Lib/importlib/abc.py
index 438a01d..387567a 100644
--- a/Lib/importlib/abc.py
+++ b/Lib/importlib/abc.py
@@ -168,8 +168,6 @@ class ExecutionLoader(InspectLoader):
set to."""
raise NotImplementedError
-_register(machinery.ExtensionFileLoader)
-
class FileLoader(_bootstrap.FileLoader, ResourceLoader, ExecutionLoader):
diff --git a/Misc/NEWS b/Misc/NEWS
index 896b250..5fa7695 100644
--- a/Misc/NEWS
+++ b/Misc/NEWS
@@ -206,8 +206,6 @@ Library
- Issue #19151: Fix docstring and use of _get_supported_file_loaders() to
reflect 2-tuples.
-- Issue #19152: Add ExtensionFileLoader.get_filename().
-
- Issue #18676: Change 'positive' to 'non-negative' in queue.py put and get
docstrings and ValueError messages. Patch by Zhongyue Luo
diff --git a/Python/importlib.h b/Python/importlib.h
index 5e92307..cb6afc5 100644
--- a/Python/importlib.h
+++ b/Python/importlib.h
@@ -2645,179 +2645,161 @@ unsigned char _Py_M__importlib[] = {
0,16,2,6,2,12,3,12,12,117,20,0,0,0,83,111,
117,114,99,101,108,101,115,115,70,105,108,101,76,111,97,100,
101,114,99,1,0,0,0,0,0,0,0,1,0,0,0,5,
- 0,0,0,66,0,0,0,115,122,0,0,0,124,0,0,69,
+ 0,0,0,66,0,0,0,115,104,0,0,0,124,0,0,69,
101,0,0,90,1,0,100,0,0,90,2,0,100,1,0,90,
3,0,100,2,0,100,3,0,132,0,0,90,4,0,101,5,
0,101,6,0,101,7,0,100,4,0,100,5,0,132,0,0,
131,1,0,131,1,0,131,1,0,90,8,0,100,6,0,100,
7,0,132,0,0,90,9,0,100,8,0,100,9,0,132,0,
0,90,10,0,100,10,0,100,11,0,132,0,0,90,11,0,
- 101,5,0,100,12,0,100,13,0,132,0,0,131,1,0,90,
- 12,0,100,14,0,83,40,15,0,0,0,117,19,0,0,0,
- 69,120,116,101,110,115,105,111,110,70,105,108,101,76,111,97,
- 100,101,114,117,93,0,0,0,76,111,97,100,101,114,32,102,
- 111,114,32,101,120,116,101,110,115,105,111,110,32,109,111,100,
- 117,108,101,115,46,10,10,32,32,32,32,84,104,101,32,99,
- 111,110,115,116,114,117,99,116,111,114,32,105,115,32,100,101,
- 115,105,103,110,101,100,32,116,111,32,119,111,114,107,32,119,
- 105,116,104,32,70,105,108,101,70,105,110,100,101,114,46,10,
- 10,32,32,32,32,99,3,0,0,0,0,0,0,0,3,0,
- 0,0,2,0,0,0,67,0,0,0,115,22,0,0,0,124,
- 1,0,124,0,0,95,0,0,124,2,0,124,0,0,95,1,
- 0,100,0,0,83,40,1,0,0,0,78,40,2,0,0,0,
- 117,4,0,0,0,110,97,109,101,117,4,0,0,0,112,97,
- 116,104,40,3,0,0,0,117,4,0,0,0,115,101,108,102,
- 117,4,0,0,0,110,97,109,101,117,4,0,0,0,112,97,
- 116,104,40,0,0,0,0,40,0,0,0,0,117,29,0,0,
- 0,60,102,114,111,122,101,110,32,105,109,112,111,114,116,108,
- 105,98,46,95,98,111,111,116,115,116,114,97,112,62,117,8,
- 0,0,0,95,95,105,110,105,116,95,95,96,4,0,0,115,
- 4,0,0,0,0,1,9,1,117,28,0,0,0,69,120,116,
- 101,110,115,105,111,110,70,105,108,101,76,111,97,100,101,114,
- 46,95,95,105,110,105,116,95,95,99,2,0,0,0,0,0,
- 0,0,4,0,0,0,10,0,0,0,67,0,0,0,115,175,
- 0,0,0,124,1,0,116,0,0,106,1,0,107,6,0,125,
- 2,0,121,107,0,116,2,0,116,3,0,106,4,0,124,1,
- 0,124,0,0,106,5,0,131,3,0,125,3,0,116,6,0,
- 100,1,0,124,0,0,106,5,0,131,2,0,1,124,0,0,
- 106,7,0,124,1,0,131,1,0,114,117,0,116,8,0,124,
- 3,0,100,2,0,131,2,0,12,114,117,0,116,9,0,124,
- 0,0,106,5,0,131,1,0,100,3,0,25,103,1,0,124,
- 3,0,95,10,0,110,0,0,124,3,0,83,87,110,46,0,
- 1,1,1,124,2,0,12,114,163,0,124,1,0,116,0,0,
- 106,1,0,107,6,0,114,163,0,116,0,0,106,1,0,124,
- 1,0,61,110,0,0,130,0,0,89,110,1,0,88,100,4,
- 0,83,40,5,0,0,0,117,25,0,0,0,76,111,97,100,
- 32,97,110,32,101,120,116,101,110,115,105,111,110,32,109,111,
- 100,117,108,101,46,117,33,0,0,0,101,120,116,101,110,115,
- 105,111,110,32,109,111,100,117,108,101,32,108,111,97,100,101,
- 100,32,102,114,111,109,32,123,33,114,125,117,8,0,0,0,
- 95,95,112,97,116,104,95,95,105,0,0,0,0,78,40,11,
- 0,0,0,117,3,0,0,0,115,121,115,117,7,0,0,0,
- 109,111,100,117,108,101,115,117,25,0,0,0,95,99,97,108,
- 108,95,119,105,116,104,95,102,114,97,109,101,115,95,114,101,
- 109,111,118,101,100,117,4,0,0,0,95,105,109,112,117,12,
- 0,0,0,108,111,97,100,95,100,121,110,97,109,105,99,117,
- 4,0,0,0,112,97,116,104,117,16,0,0,0,95,118,101,
- 114,98,111,115,101,95,109,101,115,115,97,103,101,117,10,0,
- 0,0,105,115,95,112,97,99,107,97,103,101,117,7,0,0,
- 0,104,97,115,97,116,116,114,117,11,0,0,0,95,112,97,
- 116,104,95,115,112,108,105,116,117,8,0,0,0,95,95,112,
- 97,116,104,95,95,40,4,0,0,0,117,4,0,0,0,115,
- 101,108,102,117,8,0,0,0,102,117,108,108,110,97,109,101,
- 117,9,0,0,0,105,115,95,114,101,108,111,97,100,117,6,
- 0,0,0,109,111,100,117,108,101,40,0,0,0,0,40,0,
- 0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,
- 105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,
- 116,114,97,112,62,117,11,0,0,0,108,111,97,100,95,109,
- 111,100,117,108,101,100,4,0,0,115,24,0,0,0,0,5,
- 15,1,3,1,9,1,15,1,16,1,31,1,28,1,8,1,
- 3,1,22,1,13,1,117,31,0,0,0,69,120,116,101,110,
- 115,105,111,110,70,105,108,101,76,111,97,100,101,114,46,108,
- 111,97,100,95,109,111,100,117,108,101,99,2,0,0,0,0,
- 0,0,0,2,0,0,0,4,0,0,0,3,0,0,0,115,
- 48,0,0,0,116,0,0,124,0,0,106,1,0,131,1,0,
- 100,1,0,25,137,0,0,116,2,0,135,0,0,102,1,0,
- 100,2,0,100,3,0,134,0,0,116,3,0,68,131,1,0,
- 131,1,0,83,40,4,0,0,0,117,49,0,0,0,82,101,
- 116,117,114,110,32,84,114,117,101,32,105,102,32,116,104,101,
+ 100,12,0,83,40,13,0,0,0,117,19,0,0,0,69,120,
+ 116,101,110,115,105,111,110,70,105,108,101,76,111,97,100,101,
+ 114,117,93,0,0,0,76,111,97,100,101,114,32,102,111,114,
32,101,120,116,101,110,115,105,111,110,32,109,111,100,117,108,
- 101,32,105,115,32,97,32,112,97,99,107,97,103,101,46,105,
- 1,0,0,0,99,1,0,0,0,0,0,0,0,2,0,0,
- 0,4,0,0,0,51,0,0,0,115,31,0,0,0,124,0,
- 0,93,21,0,125,1,0,136,0,0,100,0,0,124,1,0,
- 23,107,2,0,86,1,113,3,0,100,1,0,83,40,2,0,
- 0,0,117,8,0,0,0,95,95,105,110,105,116,95,95,78,
- 40,0,0,0,0,40,2,0,0,0,117,2,0,0,0,46,
- 48,117,6,0,0,0,115,117,102,102,105,120,40,1,0,0,
- 0,117,9,0,0,0,102,105,108,101,95,110,97,109,101,40,
- 0,0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,
- 32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,
- 115,116,114,97,112,62,117,9,0,0,0,60,103,101,110,101,
- 120,112,114,62,121,4,0,0,115,2,0,0,0,6,1,117,
- 49,0,0,0,69,120,116,101,110,115,105,111,110,70,105,108,
- 101,76,111,97,100,101,114,46,105,115,95,112,97,99,107,97,
- 103,101,46,60,108,111,99,97,108,115,62,46,60,103,101,110,
- 101,120,112,114,62,40,4,0,0,0,117,11,0,0,0,95,
- 112,97,116,104,95,115,112,108,105,116,117,4,0,0,0,112,
- 97,116,104,117,3,0,0,0,97,110,121,117,18,0,0,0,
- 69,88,84,69,78,83,73,79,78,95,83,85,70,70,73,88,
- 69,83,40,2,0,0,0,117,4,0,0,0,115,101,108,102,
- 117,8,0,0,0,102,117,108,108,110,97,109,101,40,0,0,
- 0,0,40,1,0,0,0,117,9,0,0,0,102,105,108,101,
- 95,110,97,109,101,117,29,0,0,0,60,102,114,111,122,101,
- 110,32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,
- 116,115,116,114,97,112,62,117,10,0,0,0,105,115,95,112,
- 97,99,107,97,103,101,118,4,0,0,115,6,0,0,0,0,
- 2,19,1,18,1,117,30,0,0,0,69,120,116,101,110,115,
- 105,111,110,70,105,108,101,76,111,97,100,101,114,46,105,115,
- 95,112,97,99,107,97,103,101,99,2,0,0,0,0,0,0,
- 0,2,0,0,0,1,0,0,0,67,0,0,0,115,4,0,
- 0,0,100,1,0,83,40,2,0,0,0,117,63,0,0,0,
- 82,101,116,117,114,110,32,78,111,110,101,32,97,115,32,97,
+ 101,115,46,10,10,32,32,32,32,84,104,101,32,99,111,110,
+ 115,116,114,117,99,116,111,114,32,105,115,32,100,101,115,105,
+ 103,110,101,100,32,116,111,32,119,111,114,107,32,119,105,116,
+ 104,32,70,105,108,101,70,105,110,100,101,114,46,10,10,32,
+ 32,32,32,99,3,0,0,0,0,0,0,0,3,0,0,0,
+ 2,0,0,0,67,0,0,0,115,22,0,0,0,124,1,0,
+ 124,0,0,95,0,0,124,2,0,124,0,0,95,1,0,100,
+ 0,0,83,40,1,0,0,0,78,40,2,0,0,0,117,4,
+ 0,0,0,110,97,109,101,117,4,0,0,0,112,97,116,104,
+ 40,3,0,0,0,117,4,0,0,0,115,101,108,102,117,4,
+ 0,0,0,110,97,109,101,117,4,0,0,0,112,97,116,104,
+ 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,
+ 46,95,98,111,111,116,115,116,114,97,112,62,117,8,0,0,
+ 0,95,95,105,110,105,116,95,95,96,4,0,0,115,4,0,
+ 0,0,0,1,9,1,117,28,0,0,0,69,120,116,101,110,
+ 115,105,111,110,70,105,108,101,76,111,97,100,101,114,46,95,
+ 95,105,110,105,116,95,95,99,2,0,0,0,0,0,0,0,
+ 4,0,0,0,10,0,0,0,67,0,0,0,115,175,0,0,
+ 0,124,1,0,116,0,0,106,1,0,107,6,0,125,2,0,
+ 121,107,0,116,2,0,116,3,0,106,4,0,124,1,0,124,
+ 0,0,106,5,0,131,3,0,125,3,0,116,6,0,100,1,
+ 0,124,0,0,106,5,0,131,2,0,1,124,0,0,106,7,
+ 0,124,1,0,131,1,0,114,117,0,116,8,0,124,3,0,
+ 100,2,0,131,2,0,12,114,117,0,116,9,0,124,0,0,
+ 106,5,0,131,1,0,100,3,0,25,103,1,0,124,3,0,
+ 95,10,0,110,0,0,124,3,0,83,87,110,46,0,1,1,
+ 1,124,2,0,12,114,163,0,124,1,0,116,0,0,106,1,
+ 0,107,6,0,114,163,0,116,0,0,106,1,0,124,1,0,
+ 61,110,0,0,130,0,0,89,110,1,0,88,100,4,0,83,
+ 40,5,0,0,0,117,25,0,0,0,76,111,97,100,32,97,
110,32,101,120,116,101,110,115,105,111,110,32,109,111,100,117,
- 108,101,32,99,97,110,110,111,116,32,99,114,101,97,116,101,
- 32,97,32,99,111,100,101,32,111,98,106,101,99,116,46,78,
- 40,1,0,0,0,117,4,0,0,0,78,111,110,101,40,2,
- 0,0,0,117,4,0,0,0,115,101,108,102,117,8,0,0,
- 0,102,117,108,108,110,97,109,101,40,0,0,0,0,40,0,
- 0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,
- 105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,
- 116,114,97,112,62,117,8,0,0,0,103,101,116,95,99,111,
- 100,101,124,4,0,0,115,2,0,0,0,0,2,117,28,0,
+ 108,101,46,117,33,0,0,0,101,120,116,101,110,115,105,111,
+ 110,32,109,111,100,117,108,101,32,108,111,97,100,101,100,32,
+ 102,114,111,109,32,123,33,114,125,117,8,0,0,0,95,95,
+ 112,97,116,104,95,95,105,0,0,0,0,78,40,11,0,0,
+ 0,117,3,0,0,0,115,121,115,117,7,0,0,0,109,111,
+ 100,117,108,101,115,117,25,0,0,0,95,99,97,108,108,95,
+ 119,105,116,104,95,102,114,97,109,101,115,95,114,101,109,111,
+ 118,101,100,117,4,0,0,0,95,105,109,112,117,12,0,0,
+ 0,108,111,97,100,95,100,121,110,97,109,105,99,117,4,0,
+ 0,0,112,97,116,104,117,16,0,0,0,95,118,101,114,98,
+ 111,115,101,95,109,101,115,115,97,103,101,117,10,0,0,0,
+ 105,115,95,112,97,99,107,97,103,101,117,7,0,0,0,104,
+ 97,115,97,116,116,114,117,11,0,0,0,95,112,97,116,104,
+ 95,115,112,108,105,116,117,8,0,0,0,95,95,112,97,116,
+ 104,95,95,40,4,0,0,0,117,4,0,0,0,115,101,108,
+ 102,117,8,0,0,0,102,117,108,108,110,97,109,101,117,9,
+ 0,0,0,105,115,95,114,101,108,111,97,100,117,6,0,0,
+ 0,109,111,100,117,108,101,40,0,0,0,0,40,0,0,0,
+ 0,117,29,0,0,0,60,102,114,111,122,101,110,32,105,109,
+ 112,111,114,116,108,105,98,46,95,98,111,111,116,115,116,114,
+ 97,112,62,117,11,0,0,0,108,111,97,100,95,109,111,100,
+ 117,108,101,100,4,0,0,115,24,0,0,0,0,5,15,1,
+ 3,1,9,1,15,1,16,1,31,1,28,1,8,1,3,1,
+ 22,1,13,1,117,31,0,0,0,69,120,116,101,110,115,105,
+ 111,110,70,105,108,101,76,111,97,100,101,114,46,108,111,97,
+ 100,95,109,111,100,117,108,101,99,2,0,0,0,0,0,0,
+ 0,2,0,0,0,4,0,0,0,3,0,0,0,115,48,0,
+ 0,0,116,0,0,124,0,0,106,1,0,131,1,0,100,1,
+ 0,25,137,0,0,116,2,0,135,0,0,102,1,0,100,2,
+ 0,100,3,0,134,0,0,116,3,0,68,131,1,0,131,1,
+ 0,83,40,4,0,0,0,117,49,0,0,0,82,101,116,117,
+ 114,110,32,84,114,117,101,32,105,102,32,116,104,101,32,101,
+ 120,116,101,110,115,105,111,110,32,109,111,100,117,108,101,32,
+ 105,115,32,97,32,112,97,99,107,97,103,101,46,105,1,0,
+ 0,0,99,1,0,0,0,0,0,0,0,2,0,0,0,4,
+ 0,0,0,51,0,0,0,115,31,0,0,0,124,0,0,93,
+ 21,0,125,1,0,136,0,0,100,0,0,124,1,0,23,107,
+ 2,0,86,1,113,3,0,100,1,0,83,40,2,0,0,0,
+ 117,8,0,0,0,95,95,105,110,105,116,95,95,78,40,0,
+ 0,0,0,40,2,0,0,0,117,2,0,0,0,46,48,117,
+ 6,0,0,0,115,117,102,102,105,120,40,1,0,0,0,117,
+ 9,0,0,0,102,105,108,101,95,110,97,109,101,40,0,0,
+ 0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,105,
+ 109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,116,
+ 114,97,112,62,117,9,0,0,0,60,103,101,110,101,120,112,
+ 114,62,121,4,0,0,115,2,0,0,0,6,1,117,49,0,
0,0,69,120,116,101,110,115,105,111,110,70,105,108,101,76,
- 111,97,100,101,114,46,103,101,116,95,99,111,100,101,99,2,
- 0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,67,
- 0,0,0,115,4,0,0,0,100,1,0,83,40,2,0,0,
- 0,117,53,0,0,0,82,101,116,117,114,110,32,78,111,110,
- 101,32,97,115,32,101,120,116,101,110,115,105,111,110,32,109,
- 111,100,117,108,101,115,32,104,97,118,101,32,110,111,32,115,
- 111,117,114,99,101,32,99,111,100,101,46,78,40,1,0,0,
- 0,117,4,0,0,0,78,111,110,101,40,2,0,0,0,117,
- 4,0,0,0,115,101,108,102,117,8,0,0,0,102,117,108,
- 108,110,97,109,101,40,0,0,0,0,40,0,0,0,0,117,
- 29,0,0,0,60,102,114,111,122,101,110,32,105,109,112,111,
- 114,116,108,105,98,46,95,98,111,111,116,115,116,114,97,112,
- 62,117,10,0,0,0,103,101,116,95,115,111,117,114,99,101,
- 128,4,0,0,115,2,0,0,0,0,2,117,30,0,0,0,
+ 111,97,100,101,114,46,105,115,95,112,97,99,107,97,103,101,
+ 46,60,108,111,99,97,108,115,62,46,60,103,101,110,101,120,
+ 112,114,62,40,4,0,0,0,117,11,0,0,0,95,112,97,
+ 116,104,95,115,112,108,105,116,117,4,0,0,0,112,97,116,
+ 104,117,3,0,0,0,97,110,121,117,18,0,0,0,69,88,
+ 84,69,78,83,73,79,78,95,83,85,70,70,73,88,69,83,
+ 40,2,0,0,0,117,4,0,0,0,115,101,108,102,117,8,
+ 0,0,0,102,117,108,108,110,97,109,101,40,0,0,0,0,
+ 40,1,0,0,0,117,9,0,0,0,102,105,108,101,95,110,
+ 97,109,101,117,29,0,0,0,60,102,114,111,122,101,110,32,
+ 105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,
+ 116,114,97,112,62,117,10,0,0,0,105,115,95,112,97,99,
+ 107,97,103,101,118,4,0,0,115,6,0,0,0,0,2,19,
+ 1,18,1,117,30,0,0,0,69,120,116,101,110,115,105,111,
+ 110,70,105,108,101,76,111,97,100,101,114,46,105,115,95,112,
+ 97,99,107,97,103,101,99,2,0,0,0,0,0,0,0,2,
+ 0,0,0,1,0,0,0,67,0,0,0,115,4,0,0,0,
+ 100,1,0,83,40,2,0,0,0,117,63,0,0,0,82,101,
+ 116,117,114,110,32,78,111,110,101,32,97,115,32,97,110,32,
+ 101,120,116,101,110,115,105,111,110,32,109,111,100,117,108,101,
+ 32,99,97,110,110,111,116,32,99,114,101,97,116,101,32,97,
+ 32,99,111,100,101,32,111,98,106,101,99,116,46,78,40,1,
+ 0,0,0,117,4,0,0,0,78,111,110,101,40,2,0,0,
+ 0,117,4,0,0,0,115,101,108,102,117,8,0,0,0,102,
+ 117,108,108,110,97,109,101,40,0,0,0,0,40,0,0,0,
+ 0,117,29,0,0,0,60,102,114,111,122,101,110,32,105,109,
+ 112,111,114,116,108,105,98,46,95,98,111,111,116,115,116,114,
+ 97,112,62,117,8,0,0,0,103,101,116,95,99,111,100,101,
+ 124,4,0,0,115,2,0,0,0,0,2,117,28,0,0,0,
69,120,116,101,110,115,105,111,110,70,105,108,101,76,111,97,
- 100,101,114,46,103,101,116,95,115,111,117,114,99,101,99,2,
- 0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,67,
- 0,0,0,115,7,0,0,0,124,0,0,106,0,0,83,40,
- 1,0,0,0,117,58,0,0,0,82,101,116,117,114,110,32,
- 116,104,101,32,112,97,116,104,32,116,111,32,116,104,101,32,
- 115,111,117,114,99,101,32,102,105,108,101,32,97,115,32,102,
- 111,117,110,100,32,98,121,32,116,104,101,32,102,105,110,100,
- 101,114,46,40,1,0,0,0,117,4,0,0,0,112,97,116,
- 104,40,2,0,0,0,117,4,0,0,0,115,101,108,102,117,
- 8,0,0,0,102,117,108,108,110,97,109,101,40,0,0,0,
- 0,40,0,0,0,0,117,29,0,0,0,60,102,114,111,122,
- 101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,111,
- 111,116,115,116,114,97,112,62,117,12,0,0,0,103,101,116,
- 95,102,105,108,101,110,97,109,101,132,4,0,0,115,2,0,
- 0,0,0,3,117,32,0,0,0,69,120,116,101,110,115,105,
- 111,110,70,105,108,101,76,111,97,100,101,114,46,103,101,116,
- 95,102,105,108,101,110,97,109,101,78,40,13,0,0,0,117,
- 8,0,0,0,95,95,110,97,109,101,95,95,117,10,0,0,
- 0,95,95,109,111,100,117,108,101,95,95,117,12,0,0,0,
- 95,95,113,117,97,108,110,97,109,101,95,95,117,7,0,0,
- 0,95,95,100,111,99,95,95,117,8,0,0,0,95,95,105,
- 110,105,116,95,95,117,11,0,0,0,95,99,104,101,99,107,
- 95,110,97,109,101,117,11,0,0,0,115,101,116,95,112,97,
- 99,107,97,103,101,117,10,0,0,0,115,101,116,95,108,111,
- 97,100,101,114,117,11,0,0,0,108,111,97,100,95,109,111,
- 100,117,108,101,117,10,0,0,0,105,115,95,112,97,99,107,
- 97,103,101,117,8,0,0,0,103,101,116,95,99,111,100,101,
- 117,10,0,0,0,103,101,116,95,115,111,117,114,99,101,117,
- 12,0,0,0,103,101,116,95,102,105,108,101,110,97,109,101,
- 40,1,0,0,0,117,10,0,0,0,95,95,108,111,99,97,
- 108,115,95,95,40,0,0,0,0,40,0,0,0,0,117,29,
- 0,0,0,60,102,114,111,122,101,110,32,105,109,112,111,114,
- 116,108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,
- 117,19,0,0,0,69,120,116,101,110,115,105,111,110,70,105,
- 108,101,76,111,97,100,101,114,88,4,0,0,115,18,0,0,
- 0,16,6,6,2,12,4,3,1,3,1,24,16,12,6,12,
- 4,12,4,117,19,0,0,0,69,120,116,101,110,115,105,111,
+ 100,101,114,46,103,101,116,95,99,111,100,101,99,2,0,0,
+ 0,0,0,0,0,2,0,0,0,1,0,0,0,67,0,0,
+ 0,115,4,0,0,0,100,1,0,83,40,2,0,0,0,117,
+ 53,0,0,0,82,101,116,117,114,110,32,78,111,110,101,32,
+ 97,115,32,101,120,116,101,110,115,105,111,110,32,109,111,100,
+ 117,108,101,115,32,104,97,118,101,32,110,111,32,115,111,117,
+ 114,99,101,32,99,111,100,101,46,78,40,1,0,0,0,117,
+ 4,0,0,0,78,111,110,101,40,2,0,0,0,117,4,0,
+ 0,0,115,101,108,102,117,8,0,0,0,102,117,108,108,110,
+ 97,109,101,40,0,0,0,0,40,0,0,0,0,117,29,0,
+ 0,0,60,102,114,111,122,101,110,32,105,109,112,111,114,116,
+ 108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,117,
+ 10,0,0,0,103,101,116,95,115,111,117,114,99,101,128,4,
+ 0,0,115,2,0,0,0,0,2,117,30,0,0,0,69,120,
+ 116,101,110,115,105,111,110,70,105,108,101,76,111,97,100,101,
+ 114,46,103,101,116,95,115,111,117,114,99,101,78,40,12,0,
+ 0,0,117,8,0,0,0,95,95,110,97,109,101,95,95,117,
+ 10,0,0,0,95,95,109,111,100,117,108,101,95,95,117,12,
+ 0,0,0,95,95,113,117,97,108,110,97,109,101,95,95,117,
+ 7,0,0,0,95,95,100,111,99,95,95,117,8,0,0,0,
+ 95,95,105,110,105,116,95,95,117,11,0,0,0,95,99,104,
+ 101,99,107,95,110,97,109,101,117,11,0,0,0,115,101,116,
+ 95,112,97,99,107,97,103,101,117,10,0,0,0,115,101,116,
+ 95,108,111,97,100,101,114,117,11,0,0,0,108,111,97,100,
+ 95,109,111,100,117,108,101,117,10,0,0,0,105,115,95,112,
+ 97,99,107,97,103,101,117,8,0,0,0,103,101,116,95,99,
+ 111,100,101,117,10,0,0,0,103,101,116,95,115,111,117,114,
+ 99,101,40,1,0,0,0,117,10,0,0,0,95,95,108,111,
+ 99,97,108,115,95,95,40,0,0,0,0,40,0,0,0,0,
+ 117,29,0,0,0,60,102,114,111,122,101,110,32,105,109,112,
+ 111,114,116,108,105,98,46,95,98,111,111,116,115,116,114,97,
+ 112,62,117,19,0,0,0,69,120,116,101,110,115,105,111,110,
+ 70,105,108,101,76,111,97,100,101,114,88,4,0,0,115,16,
+ 0,0,0,16,6,6,2,12,4,3,1,3,1,24,16,12,
+ 6,12,4,117,19,0,0,0,69,120,116,101,110,115,105,111,
110,70,105,108,101,76,111,97,100,101,114,99,1,0,0,0,
0,0,0,0,1,0,0,0,2,0,0,0,66,0,0,0,
115,134,0,0,0,124,0,0,69,101,0,0,90,1,0,100,
@@ -2866,7 +2848,7 @@ unsigned char _Py_M__importlib[] = {
114,40,0,0,0,0,40,0,0,0,0,117,29,0,0,0,
60,102,114,111,122,101,110,32,105,109,112,111,114,116,108,105,
98,46,95,98,111,111,116,115,116,114,97,112,62,117,8,0,
- 0,0,95,95,105,110,105,116,95,95,145,4,0,0,115,8,
+ 0,0,95,95,105,110,105,116,95,95,140,4,0,0,115,8,
0,0,0,0,1,9,1,9,1,21,1,117,23,0,0,0,
95,78,97,109,101,115,112,97,99,101,80,97,116,104,46,95,
95,105,110,105,116,95,95,99,1,0,0,0,0,0,0,0,
@@ -2891,7 +2873,7 @@ unsigned char _Py_M__importlib[] = {
0,0,60,102,114,111,122,101,110,32,105,109,112,111,114,116,
108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,117,
23,0,0,0,95,102,105,110,100,95,112,97,114,101,110,116,
- 95,112,97,116,104,95,110,97,109,101,115,151,4,0,0,115,
+ 95,112,97,116,104,95,110,97,109,101,115,146,4,0,0,115,
8,0,0,0,0,2,27,1,12,2,4,3,117,38,0,0,
0,95,78,97,109,101,115,112,97,99,101,80,97,116,104,46,
95,102,105,110,100,95,112,97,114,101,110,116,95,112,97,116,
@@ -2911,7 +2893,7 @@ unsigned char _Py_M__importlib[] = {
117,29,0,0,0,60,102,114,111,122,101,110,32,105,109,112,
111,114,116,108,105,98,46,95,98,111,111,116,115,116,114,97,
112,62,117,16,0,0,0,95,103,101,116,95,112,97,114,101,
- 110,116,95,112,97,116,104,161,4,0,0,115,4,0,0,0,
+ 110,116,95,112,97,116,104,156,4,0,0,115,4,0,0,0,
0,1,18,1,117,31,0,0,0,95,78,97,109,101,115,112,
97,99,101,80,97,116,104,46,95,103,101,116,95,112,97,114,
101,110,116,95,112,97,116,104,99,1,0,0,0,0,0,0,
@@ -2936,7 +2918,7 @@ unsigned char _Py_M__importlib[] = {
0,0,40,0,0,0,0,117,29,0,0,0,60,102,114,111,
122,101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,
111,111,116,115,116,114,97,112,62,117,12,0,0,0,95,114,
- 101,99,97,108,99,117,108,97,116,101,165,4,0,0,115,14,
+ 101,99,97,108,99,117,108,97,116,101,160,4,0,0,115,14,
0,0,0,0,2,18,1,15,1,27,3,12,1,12,1,12,
1,117,27,0,0,0,95,78,97,109,101,115,112,97,99,101,
80,97,116,104,46,95,114,101,99,97,108,99,117,108,97,116,
@@ -2949,7 +2931,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,40,0,0,0,0,117,29,0,0,0,60,102,114,
111,122,101,110,32,105,109,112,111,114,116,108,105,98,46,95,
98,111,111,116,115,116,114,97,112,62,117,8,0,0,0,95,
- 95,105,116,101,114,95,95,177,4,0,0,115,2,0,0,0,
+ 95,105,116,101,114,95,95,172,4,0,0,115,2,0,0,0,
0,1,117,23,0,0,0,95,78,97,109,101,115,112,97,99,
101,80,97,116,104,46,95,95,105,116,101,114,95,95,99,1,
0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,67,
@@ -2961,7 +2943,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,
32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,
115,116,114,97,112,62,117,7,0,0,0,95,95,108,101,110,
- 95,95,180,4,0,0,115,2,0,0,0,0,1,117,22,0,
+ 95,95,175,4,0,0,115,2,0,0,0,0,1,117,22,0,
0,0,95,78,97,109,101,115,112,97,99,101,80,97,116,104,
46,95,95,108,101,110,95,95,99,1,0,0,0,0,0,0,
0,1,0,0,0,2,0,0,0,67,0,0,0,115,16,0,
@@ -2974,7 +2956,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,
105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,
116,114,97,112,62,117,8,0,0,0,95,95,114,101,112,114,
- 95,95,183,4,0,0,115,2,0,0,0,0,1,117,23,0,
+ 95,95,178,4,0,0,115,2,0,0,0,0,1,117,23,0,
0,0,95,78,97,109,101,115,112,97,99,101,80,97,116,104,
46,95,95,114,101,112,114,95,95,99,2,0,0,0,0,0,
0,0,2,0,0,0,2,0,0,0,67,0,0,0,115,16,
@@ -2986,7 +2968,7 @@ unsigned char _Py_M__importlib[] = {
117,29,0,0,0,60,102,114,111,122,101,110,32,105,109,112,
111,114,116,108,105,98,46,95,98,111,111,116,115,116,114,97,
112,62,117,12,0,0,0,95,95,99,111,110,116,97,105,110,
- 115,95,95,186,4,0,0,115,2,0,0,0,0,1,117,27,
+ 115,95,95,181,4,0,0,115,2,0,0,0,0,1,117,27,
0,0,0,95,78,97,109,101,115,112,97,99,101,80,97,116,
104,46,95,95,99,111,110,116,97,105,110,115,95,95,99,2,
0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,67,
@@ -2998,7 +2980,7 @@ unsigned char _Py_M__importlib[] = {
116,101,109,40,0,0,0,0,40,0,0,0,0,117,29,0,
0,0,60,102,114,111,122,101,110,32,105,109,112,111,114,116,
108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,117,
- 6,0,0,0,97,112,112,101,110,100,189,4,0,0,115,2,
+ 6,0,0,0,97,112,112,101,110,100,184,4,0,0,115,2,
0,0,0,0,1,117,21,0,0,0,95,78,97,109,101,115,
112,97,99,101,80,97,116,104,46,97,112,112,101,110,100,78,
40,13,0,0,0,117,8,0,0,0,95,95,110,97,109,101,
@@ -3019,7 +3001,7 @@ unsigned char _Py_M__importlib[] = {
0,0,60,102,114,111,122,101,110,32,105,109,112,111,114,116,
108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,117,
14,0,0,0,95,78,97,109,101,115,112,97,99,101,80,97,
- 116,104,138,4,0,0,115,20,0,0,0,16,5,6,2,12,
+ 116,104,133,4,0,0,115,20,0,0,0,16,5,6,2,12,
6,12,10,12,4,12,12,12,3,12,3,12,3,12,3,117,
14,0,0,0,95,78,97,109,101,115,112,97,99,101,80,97,
116,104,99,1,0,0,0,0,0,0,0,1,0,0,0,3,
@@ -3041,7 +3023,7 @@ unsigned char _Py_M__importlib[] = {
110,100,101,114,40,0,0,0,0,40,0,0,0,0,117,29,
0,0,0,60,102,114,111,122,101,110,32,105,109,112,111,114,
116,108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,
- 117,8,0,0,0,95,95,105,110,105,116,95,95,194,4,0,
+ 117,8,0,0,0,95,95,105,110,105,116,95,95,189,4,0,
0,115,2,0,0,0,0,1,117,24,0,0,0,78,97,109,
101,115,112,97,99,101,76,111,97,100,101,114,46,95,95,105,
110,105,116,95,95,99,2,0,0,0,0,0,0,0,2,0,
@@ -3056,7 +3038,7 @@ unsigned char _Py_M__importlib[] = {
0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,105,
109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,116,
114,97,112,62,117,11,0,0,0,109,111,100,117,108,101,95,
- 114,101,112,114,197,4,0,0,115,2,0,0,0,0,2,117,
+ 114,101,112,114,192,4,0,0,115,2,0,0,0,0,2,117,
27,0,0,0,78,97,109,101,115,112,97,99,101,76,111,97,
100,101,114,46,109,111,100,117,108,101,95,114,101,112,114,99,
2,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,
@@ -3075,7 +3057,7 @@ unsigned char _Py_M__importlib[] = {
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,
46,95,98,111,111,116,115,116,114,97,112,62,117,11,0,0,
- 0,108,111,97,100,95,109,111,100,117,108,101,201,4,0,0,
+ 0,108,111,97,100,95,109,111,100,117,108,101,196,4,0,0,
115,6,0,0,0,0,3,16,1,12,1,117,27,0,0,0,
78,97,109,101,115,112,97,99,101,76,111,97,100,101,114,46,
108,111,97,100,95,109,111,100,117,108,101,78,40,8,0,0,
@@ -3092,7 +3074,7 @@ unsigned char _Py_M__importlib[] = {
29,0,0,0,60,102,114,111,122,101,110,32,105,109,112,111,
114,116,108,105,98,46,95,98,111,111,116,115,116,114,97,112,
62,117,15,0,0,0,78,97,109,101,115,112,97,99,101,76,
- 111,97,100,101,114,193,4,0,0,115,6,0,0,0,16,1,
+ 111,97,100,101,114,188,4,0,0,115,6,0,0,0,16,1,
12,3,18,4,117,15,0,0,0,78,97,109,101,115,112,97,
99,101,76,111,97,100,101,114,99,1,0,0,0,0,0,0,
0,1,0,0,0,4,0,0,0,66,0,0,0,115,119,0,
@@ -3134,7 +3116,7 @@ unsigned char _Py_M__importlib[] = {
0,40,0,0,0,0,117,29,0,0,0,60,102,114,111,122,
101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,111,
111,116,115,116,114,97,112,62,117,17,0,0,0,105,110,118,
- 97,108,105,100,97,116,101,95,99,97,99,104,101,115,215,4,
+ 97,108,105,100,97,116,101,95,99,97,99,104,101,115,210,4,
0,0,115,6,0,0,0,0,4,22,1,15,1,117,28,0,
0,0,80,97,116,104,70,105,110,100,101,114,46,105,110,118,
97,108,105,100,97,116,101,95,99,97,99,104,101,115,99,2,
@@ -3166,7 +3148,7 @@ unsigned char _Py_M__importlib[] = {
40,0,0,0,0,117,29,0,0,0,60,102,114,111,122,101,
110,32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,
116,115,116,114,97,112,62,117,11,0,0,0,95,112,97,116,
- 104,95,104,111,111,107,115,223,4,0,0,115,16,0,0,0,
+ 104,95,104,111,111,107,115,218,4,0,0,115,16,0,0,0,
0,7,9,1,19,1,16,1,3,1,14,1,13,1,12,2,
117,22,0,0,0,80,97,116,104,70,105,110,100,101,114,46,
95,112,97,116,104,95,104,111,111,107,115,99,2,0,0,0,
@@ -3201,7 +3183,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,
32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,
115,116,114,97,112,62,117,20,0,0,0,95,112,97,116,104,
- 95,105,109,112,111,114,116,101,114,95,99,97,99,104,101,240,
+ 95,105,109,112,111,114,116,101,114,95,99,97,99,104,101,235,
4,0,0,115,16,0,0,0,0,8,12,1,9,1,3,1,
17,1,13,1,15,1,18,1,117,31,0,0,0,80,97,116,
104,70,105,110,100,101,114,46,95,112,97,116,104,95,105,109,
@@ -3242,7 +3224,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,0,40,0,0,0,0,117,29,0,0,0,60,102,
114,111,122,101,110,32,105,109,112,111,114,116,108,105,98,46,
95,98,111,111,116,115,116,114,97,112,62,117,11,0,0,0,
- 95,103,101,116,95,108,111,97,100,101,114,1,5,0,0,115,
+ 95,103,101,116,95,108,111,97,100,101,114,252,4,0,0,115,
28,0,0,0,0,5,6,1,13,1,21,1,6,1,15,1,
12,1,15,1,24,2,15,1,6,1,12,2,10,5,20,2,
117,22,0,0,0,80,97,116,104,70,105,110,100,101,114,46,
@@ -3273,7 +3255,7 @@ unsigned char _Py_M__importlib[] = {
0,117,29,0,0,0,60,102,114,111,122,101,110,32,105,109,
112,111,114,116,108,105,98,46,95,98,111,111,116,115,116,114,
97,112,62,117,11,0,0,0,102,105,110,100,95,109,111,100,
- 117,108,101,28,5,0,0,115,16,0,0,0,0,4,12,1,
+ 117,108,101,23,5,0,0,115,16,0,0,0,0,4,12,1,
12,1,24,1,12,1,4,2,6,3,19,2,117,22,0,0,
0,80,97,116,104,70,105,110,100,101,114,46,102,105,110,100,
95,109,111,100,117,108,101,78,40,11,0,0,0,117,8,0,
@@ -3292,7 +3274,7 @@ unsigned char _Py_M__importlib[] = {
95,95,40,0,0,0,0,40,0,0,0,0,117,29,0,0,
0,60,102,114,111,122,101,110,32,105,109,112,111,114,116,108,
105,98,46,95,98,111,111,116,115,116,114,97,112,62,117,10,
- 0,0,0,80,97,116,104,70,105,110,100,101,114,211,4,0,
+ 0,0,0,80,97,116,104,70,105,110,100,101,114,206,4,0,
0,115,14,0,0,0,16,2,6,2,18,8,18,17,18,17,
18,27,3,1,117,10,0,0,0,80,97,116,104,70,105,110,
100,101,114,99,1,0,0,0,0,0,0,0,1,0,0,0,
@@ -3345,7 +3327,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,
32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,
115,116,114,97,112,62,117,9,0,0,0,60,103,101,110,101,
- 120,112,114,62,61,5,0,0,115,2,0,0,0,6,0,117,
+ 120,112,114,62,56,5,0,0,115,2,0,0,0,6,0,117,
38,0,0,0,70,105,108,101,70,105,110,100,101,114,46,95,
95,105,110,105,116,95,95,46,60,108,111,99,97,108,115,62,
46,60,103,101,110,101,120,112,114,62,117,1,0,0,0,46,
@@ -3364,7 +3346,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,108,111,97,100,101,114,117,29,0,0,0,60,102,
114,111,122,101,110,32,105,109,112,111,114,116,108,105,98,46,
95,98,111,111,116,115,116,114,97,112,62,117,8,0,0,0,
- 95,95,105,110,105,116,95,95,55,5,0,0,115,16,0,0,
+ 95,95,105,110,105,116,95,95,50,5,0,0,115,16,0,0,
0,0,4,6,1,19,1,36,1,9,2,15,1,9,1,12,
1,117,19,0,0,0,70,105,108,101,70,105,110,100,101,114,
46,95,95,105,110,105,116,95,95,99,1,0,0,0,0,0,
@@ -3379,7 +3361,7 @@ unsigned char _Py_M__importlib[] = {
0,117,29,0,0,0,60,102,114,111,122,101,110,32,105,109,
112,111,114,116,108,105,98,46,95,98,111,111,116,115,116,114,
97,112,62,117,17,0,0,0,105,110,118,97,108,105,100,97,
- 116,101,95,99,97,99,104,101,115,69,5,0,0,115,2,0,
+ 116,101,95,99,97,99,104,101,115,64,5,0,0,115,2,0,
0,0,0,2,117,28,0,0,0,70,105,108,101,70,105,110,
100,101,114,46,105,110,118,97,108,105,100,97,116,101,95,99,
97,99,104,101,115,99,2,0,0,0,0,0,0,0,12,0,
@@ -3460,7 +3442,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,60,102,114,111,122,101,110,32,105,109,112,111,114,
116,108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,
117,11,0,0,0,102,105,110,100,95,108,111,97,100,101,114,
- 75,5,0,0,115,66,0,0,0,0,3,6,1,19,1,3,
+ 70,5,0,0,115,66,0,0,0,0,3,6,1,19,1,3,
1,25,1,13,1,11,1,15,1,10,1,12,2,9,1,9,
1,15,2,9,1,6,2,12,1,18,1,12,1,22,1,10,
1,15,1,12,1,26,4,12,2,22,1,22,1,25,1,16,
@@ -3500,7 +3482,7 @@ unsigned char _Py_M__importlib[] = {
40,0,0,0,0,117,29,0,0,0,60,102,114,111,122,101,
110,32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,
116,115,116,114,97,112,62,117,9,0,0,0,60,103,101,110,
- 101,120,112,114,62,148,5,0,0,115,2,0,0,0,6,0,
+ 101,120,112,114,62,143,5,0,0,115,2,0,0,0,6,0,
117,41,0,0,0,70,105,108,101,70,105,110,100,101,114,46,
95,102,105,108,108,95,99,97,99,104,101,46,60,108,111,99,
97,108,115,62,46,60,103,101,110,101,120,112,114,62,78,40,
@@ -3530,7 +3512,7 @@ unsigned char _Py_M__importlib[] = {
101,40,0,0,0,0,40,0,0,0,0,117,29,0,0,0,
60,102,114,111,122,101,110,32,105,109,112,111,114,116,108,105,
98,46,95,98,111,111,116,115,116,114,97,112,62,117,11,0,
- 0,0,95,102,105,108,108,95,99,97,99,104,101,119,5,0,
+ 0,0,95,102,105,108,108,95,99,97,99,104,101,114,5,0,
0,115,34,0,0,0,0,2,9,1,3,1,19,1,22,3,
11,3,18,1,18,7,9,1,13,1,24,1,6,1,27,2,
6,1,17,1,9,1,18,1,117,22,0,0,0,70,105,108,
@@ -3576,7 +3558,7 @@ unsigned char _Py_M__importlib[] = {
122,101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,
111,111,116,115,116,114,97,112,62,117,24,0,0,0,112,97,
116,104,95,104,111,111,107,95,102,111,114,95,70,105,108,101,
- 70,105,110,100,101,114,160,5,0,0,115,6,0,0,0,0,
+ 70,105,110,100,101,114,155,5,0,0,115,6,0,0,0,0,
2,12,1,21,1,117,54,0,0,0,70,105,108,101,70,105,
110,100,101,114,46,112,97,116,104,95,104,111,111,107,46,60,
108,111,99,97,108,115,62,46,112,97,116,104,95,104,111,111,
@@ -3590,7 +3572,7 @@ unsigned char _Py_M__importlib[] = {
100,101,116,97,105,108,115,117,29,0,0,0,60,102,114,111,
122,101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,
111,111,116,115,116,114,97,112,62,117,9,0,0,0,112,97,
- 116,104,95,104,111,111,107,150,5,0,0,115,4,0,0,0,
+ 116,104,95,104,111,111,107,145,5,0,0,115,4,0,0,0,
0,10,21,6,117,20,0,0,0,70,105,108,101,70,105,110,
100,101,114,46,112,97,116,104,95,104,111,111,107,99,1,0,
0,0,0,0,0,0,1,0,0,0,2,0,0,0,67,0,
@@ -3602,7 +3584,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,
32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,
115,116,114,97,112,62,117,8,0,0,0,95,95,114,101,112,
- 114,95,95,168,5,0,0,115,2,0,0,0,0,1,117,19,
+ 114,95,95,163,5,0,0,115,2,0,0,0,0,1,117,19,
0,0,0,70,105,108,101,70,105,110,100,101,114,46,95,95,
114,101,112,114,95,95,78,40,13,0,0,0,117,8,0,0,
0,95,95,110,97,109,101,95,95,117,10,0,0,0,95,95,
@@ -3622,7 +3604,7 @@ unsigned char _Py_M__importlib[] = {
0,0,40,0,0,0,0,117,29,0,0,0,60,102,114,111,
122,101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,
111,111,116,115,116,114,97,112,62,117,10,0,0,0,70,105,
- 108,101,70,105,110,100,101,114,46,5,0,0,115,16,0,0,
+ 108,101,70,105,110,100,101,114,41,5,0,0,115,16,0,0,
0,16,7,6,2,12,14,12,4,6,2,12,44,12,31,18,
18,117,10,0,0,0,70,105,108,101,70,105,110,100,101,114,
99,1,0,0,0,0,0,0,0,1,0,0,0,2,0,0,
@@ -3645,7 +3627,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,
105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,
116,114,97,112,62,117,9,0,0,0,95,95,101,110,116,101,
- 114,95,95,178,5,0,0,115,2,0,0,0,0,2,117,28,
+ 114,95,95,173,5,0,0,115,2,0,0,0,0,2,117,28,
0,0,0,95,73,109,112,111,114,116,76,111,99,107,67,111,
110,116,101,120,116,46,95,95,101,110,116,101,114,95,95,99,
4,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0,
@@ -3664,7 +3646,7 @@ unsigned char _Py_M__importlib[] = {
0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,105,
109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,116,
114,97,112,62,117,8,0,0,0,95,95,101,120,105,116,95,
- 95,182,5,0,0,115,2,0,0,0,0,2,117,27,0,0,
+ 95,177,5,0,0,115,2,0,0,0,0,2,117,27,0,0,
0,95,73,109,112,111,114,116,76,111,99,107,67,111,110,116,
101,120,116,46,95,95,101,120,105,116,95,95,78,40,6,0,
0,0,117,8,0,0,0,95,95,110,97,109,101,95,95,117,
@@ -3677,7 +3659,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,
32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,
115,116,114,97,112,62,117,18,0,0,0,95,73,109,112,111,
- 114,116,76,111,99,107,67,111,110,116,101,120,116,174,5,0,
+ 114,116,76,111,99,107,67,111,110,116,101,120,116,169,5,0,
0,115,6,0,0,0,16,2,6,2,12,4,117,18,0,0,
0,95,73,109,112,111,114,116,76,111,99,107,67,111,110,116,
101,120,116,99,3,0,0,0,0,0,0,0,5,0,0,0,
@@ -3706,7 +3688,7 @@ unsigned char _Py_M__importlib[] = {
0,0,40,0,0,0,0,117,29,0,0,0,60,102,114,111,
122,101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,
111,111,116,115,116,114,97,112,62,117,13,0,0,0,95,114,
- 101,115,111,108,118,101,95,110,97,109,101,187,5,0,0,115,
+ 101,115,111,108,118,101,95,110,97,109,101,182,5,0,0,115,
10,0,0,0,0,2,22,1,18,1,15,1,10,1,117,13,
0,0,0,95,114,101,115,111,108,118,101,95,110,97,109,101,
99,2,0,0,0,0,0,0,0,4,0,0,0,11,0,0,
@@ -3738,7 +3720,7 @@ unsigned char _Py_M__importlib[] = {
0,0,40,0,0,0,0,117,29,0,0,0,60,102,114,111,
122,101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,
111,111,116,115,116,114,97,112,62,117,12,0,0,0,95,102,
- 105,110,100,95,109,111,100,117,108,101,196,5,0,0,115,20,
+ 105,110,100,95,109,111,100,117,108,101,191,5,0,0,115,20,
0,0,0,0,2,9,1,19,1,16,1,10,1,24,1,12,
2,15,1,4,2,21,2,117,12,0,0,0,95,102,105,110,
100,95,109,111,100,117,108,101,99,3,0,0,0,0,0,0,
@@ -3783,7 +3765,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,60,102,114,111,122,101,110,32,105,109,112,111,114,
116,108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,
117,13,0,0,0,95,115,97,110,105,116,121,95,99,104,101,
- 99,107,213,5,0,0,115,24,0,0,0,0,2,15,1,30,
+ 99,107,208,5,0,0,115,24,0,0,0,0,2,15,1,30,
1,12,1,15,1,6,1,15,1,15,1,15,1,6,2,27,
1,19,1,117,13,0,0,0,95,115,97,110,105,116,121,95,
99,104,101,99,107,117,20,0,0,0,78,111,32,109,111,100,
@@ -3860,7 +3842,7 @@ unsigned char _Py_M__importlib[] = {
101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,111,
111,116,115,116,114,97,112,62,117,23,0,0,0,95,102,105,
110,100,95,97,110,100,95,108,111,97,100,95,117,110,108,111,
- 99,107,101,100,232,5,0,0,115,76,0,0,0,0,1,6,
+ 99,107,101,100,227,5,0,0,115,76,0,0,0,0,1,6,
1,19,1,6,1,15,1,16,2,15,1,11,2,13,1,3,
1,13,1,13,1,22,1,26,1,15,1,12,1,27,3,9,
1,9,1,15,2,13,1,19,2,13,1,6,2,13,1,32,
@@ -3890,7 +3872,7 @@ unsigned char _Py_M__importlib[] = {
117,29,0,0,0,60,102,114,111,122,101,110,32,105,109,112,
111,114,116,108,105,98,46,95,98,111,111,116,115,116,114,97,
112,62,117,14,0,0,0,95,102,105,110,100,95,97,110,100,
- 95,108,111,97,100,26,6,0,0,115,14,0,0,0,0,2,
+ 95,108,111,97,100,21,6,0,0,115,14,0,0,0,0,2,
3,1,16,2,11,1,10,1,3,1,17,2,117,14,0,0,
0,95,102,105,110,100,95,97,110,100,95,108,111,97,100,99,
3,0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,
@@ -3948,7 +3930,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,0,40,0,0,0,0,117,29,0,0,0,60,102,
114,111,122,101,110,32,105,109,112,111,114,116,108,105,98,46,
95,98,111,111,116,115,116,114,97,112,62,117,11,0,0,0,
- 95,103,99,100,95,105,109,112,111,114,116,39,6,0,0,115,
+ 95,103,99,100,95,105,109,112,111,114,116,34,6,0,0,115,
28,0,0,0,0,9,16,1,12,1,21,1,10,1,15,1,
13,1,13,1,12,1,10,1,6,1,9,1,21,1,10,1,
117,11,0,0,0,95,103,99,100,95,105,109,112,111,114,116,
@@ -4007,7 +3989,7 @@ unsigned char _Py_M__importlib[] = {
102,114,111,122,101,110,32,105,109,112,111,114,116,108,105,98,
46,95,98,111,111,116,115,116,114,97,112,62,117,16,0,0,
0,95,104,97,110,100,108,101,95,102,114,111,109,108,105,115,
- 116,63,6,0,0,115,34,0,0,0,0,10,15,1,12,1,
+ 116,58,6,0,0,115,34,0,0,0,0,10,15,1,12,1,
12,1,13,1,15,1,22,1,13,1,15,1,21,1,3,1,
17,1,18,6,18,1,15,1,9,1,32,1,117,16,0,0,
0,95,104,97,110,100,108,101,95,102,114,111,109,108,105,115,
@@ -4040,7 +4022,7 @@ unsigned char _Py_M__importlib[] = {
0,60,102,114,111,122,101,110,32,105,109,112,111,114,116,108,
105,98,46,95,98,111,111,116,115,116,114,97,112,62,117,17,
0,0,0,95,99,97,108,99,95,95,95,112,97,99,107,97,
- 103,101,95,95,97,6,0,0,115,12,0,0,0,0,7,15,
+ 103,101,95,95,92,6,0,0,115,12,0,0,0,0,7,15,
1,12,1,10,1,12,1,25,1,117,17,0,0,0,95,99,
97,108,99,95,95,95,112,97,99,107,97,103,101,95,95,99,
0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,
@@ -4071,7 +4053,7 @@ unsigned char _Py_M__importlib[] = {
32,105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,
115,116,114,97,112,62,117,27,0,0,0,95,103,101,116,95,
115,117,112,112,111,114,116,101,100,95,102,105,108,101,95,108,
- 111,97,100,101,114,115,112,6,0,0,115,8,0,0,0,0,
+ 111,97,100,101,114,115,107,6,0,0,115,8,0,0,0,0,
5,18,1,12,1,12,1,117,27,0,0,0,95,103,101,116,
95,115,117,112,112,111,114,116,101,100,95,102,105,108,101,95,
108,111,97,100,101,114,115,99,5,0,0,0,0,0,0,0,
@@ -4139,7 +4121,7 @@ unsigned char _Py_M__importlib[] = {
0,40,0,0,0,0,117,29,0,0,0,60,102,114,111,122,
101,110,32,105,109,112,111,114,116,108,105,98,46,95,98,111,
111,116,115,116,114,97,112,62,117,10,0,0,0,95,95,105,
- 109,112,111,114,116,95,95,123,6,0,0,115,26,0,0,0,
+ 109,112,111,114,116,95,95,118,6,0,0,115,26,0,0,0,
0,11,12,1,15,2,24,1,12,1,18,1,6,3,12,1,
23,1,6,1,4,4,35,3,40,2,117,10,0,0,0,95,
95,105,109,112,111,114,116,95,95,99,2,0,0,0,0,0,
@@ -4226,7 +4208,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,117,29,0,0,0,60,102,114,111,122,101,110,32,
105,109,112,111,114,116,108,105,98,46,95,98,111,111,116,115,
116,114,97,112,62,117,9,0,0,0,60,103,101,110,101,120,
- 112,114,62,196,6,0,0,115,2,0,0,0,6,0,117,25,
+ 112,114,62,191,6,0,0,115,2,0,0,0,6,0,117,25,
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,
@@ -4297,7 +4279,7 @@ unsigned char _Py_M__importlib[] = {
0,0,0,0,40,0,0,0,0,117,29,0,0,0,60,102,
114,111,122,101,110,32,105,109,112,111,114,116,108,105,98,46,
95,98,111,111,116,115,116,114,97,112,62,117,6,0,0,0,
- 95,115,101,116,117,112,159,6,0,0,115,106,0,0,0,0,
+ 95,115,101,116,117,112,154,6,0,0,115,106,0,0,0,0,
9,6,1,6,2,12,1,9,2,6,2,12,1,28,1,15,
1,15,1,15,1,12,1,15,1,22,2,13,1,13,1,15,
1,18,2,13,1,20,2,48,1,19,2,31,1,10,1,15,
@@ -4341,7 +4323,7 @@ unsigned char _Py_M__importlib[] = {
115,40,0,0,0,0,40,0,0,0,0,117,29,0,0,0,
60,102,114,111,122,101,110,32,105,109,112,111,114,116,108,105,
98,46,95,98,111,111,116,115,116,114,97,112,62,117,8,0,
- 0,0,95,105,110,115,116,97,108,108,238,6,0,0,115,16,
+ 0,0,95,105,110,115,116,97,108,108,233,6,0,0,115,16,
0,0,0,0,2,13,1,9,1,28,1,16,1,16,1,15,
1,19,1,117,8,0,0,0,95,105,110,115,116,97,108,108,
78,40,3,0,0,0,117,3,0,0,0,119,105,110,117,6,
@@ -4442,7 +4424,7 @@ unsigned char _Py_M__importlib[] = {
12,19,12,20,12,100,34,1,37,2,6,2,9,2,9,1,
9,2,15,27,12,23,12,19,18,8,12,13,12,11,12,55,
12,18,12,11,12,11,12,17,19,57,19,54,19,50,19,83,
- 22,134,19,29,25,49,25,25,6,3,19,50,19,55,19,18,
+ 22,134,19,29,25,49,25,25,6,3,19,45,19,55,19,18,
19,91,19,128,19,13,12,9,12,17,12,17,6,2,12,50,
12,13,18,24,12,34,12,15,12,11,24,36,12,79,
};
generated by cgit v0.12 at 2024-11-24 02:56:28 (GMT)