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-rw-r--r--Doc/reference/import.rst3
-rw-r--r--Doc/whatsnew/3.6.rst11
-rw-r--r--Lib/importlib/_bootstrap.py6
-rw-r--r--Lib/test/test_importlib/import_/test___package__.py40
-rw-r--r--Misc/NEWS3
-rw-r--r--Python/import.c64
-rw-r--r--Python/importlib.h559
7 files changed, 376 insertions, 310 deletions
diff --git a/Doc/reference/import.rst b/Doc/reference/import.rst
index 2144c1f..a162851 100644
--- a/Doc/reference/import.rst
+++ b/Doc/reference/import.rst
@@ -554,7 +554,8 @@ the module.
details.
This attribute is used instead of ``__name__`` to calculate explicit
- relative imports for main modules, as defined in :pep:`366`.
+ relative imports for main modules -- as defined in :pep:`366` --
+ when ``__spec__`` is not defined.
.. attribute:: __spec__
diff --git a/Doc/whatsnew/3.6.rst b/Doc/whatsnew/3.6.rst
index f7dbbee..a5b9be2 100644
--- a/Doc/whatsnew/3.6.rst
+++ b/Doc/whatsnew/3.6.rst
@@ -209,7 +209,12 @@ Deprecated features
* The ``pyvenv`` script has been deprecated in favour of ``python3 -m venv``.
This prevents confusion as to what Python interpreter ``pyvenv`` is
connected to and thus what Python interpreter will be used by the virtual
- environment. See :issue:`25154`.
+ environment. (Contributed by Brett Cannon in :issue:`25154`.)
+
+* When performing a relative import, falling back on ``__name__`` and
+ ``__path__`` from the calling module when ``__spec__`` or
+ ``__package__`` are not defined now raises an :exc:`ImportWarning`.
+ (Contributed by Rose Ames in :issue:`25791`.)
Removed
@@ -251,6 +256,10 @@ Changes in the Python API
:mod:`wave`. This means they will export new symbols when ``import *``
is used. See :issue:`23883`.
+* When performing a relative import, ``__spec__.parent`` is used
+ is ``__spec__`` is defined instead of ``__package__``.
+ (Contributed by Rose Ames in :issue:`25791`.)
+
Changes in the C API
--------------------
diff --git a/Lib/importlib/_bootstrap.py b/Lib/importlib/_bootstrap.py
index 6f62bb3..9adcf7b 100644
--- a/Lib/importlib/_bootstrap.py
+++ b/Lib/importlib/_bootstrap.py
@@ -1032,8 +1032,14 @@ def _calc___package__(globals):
to represent that its proper value is unknown.
"""
+ spec = globals.get('__spec__')
+ if spec is not None:
+ return spec.parent
package = globals.get('__package__')
if package is None:
+ _warnings.warn("can't resolve package from __spec__ or __package__, "
+ "falling back on __name__ and __path__",
+ ImportWarning, stacklevel=3)
package = globals['__name__']
if '__path__' not in globals:
package = package.rpartition('.')[0]
diff --git a/Lib/test/test_importlib/import_/test___package__.py b/Lib/test/test_importlib/import_/test___package__.py
index c7d3a2a..08e41c9 100644
--- a/Lib/test/test_importlib/import_/test___package__.py
+++ b/Lib/test/test_importlib/import_/test___package__.py
@@ -33,31 +33,39 @@ class Using__package__:
"""
- def test_using___package__(self):
- # [__package__]
+ def import_module(self, globals_):
with self.mock_modules('pkg.__init__', 'pkg.fake') as importer:
with util.import_state(meta_path=[importer]):
self.__import__('pkg.fake')
module = self.__import__('',
- globals={'__package__': 'pkg.fake'},
+ globals=globals_,
fromlist=['attr'], level=2)
+ return module
+
+ def test_using___package__(self):
+ # [__package__]
+ module = self.import_module({'__package__': 'pkg.fake'})
self.assertEqual(module.__name__, 'pkg')
- def test_using___name__(self, package_as_None=False):
+ def test_using___name__(self):
# [__name__]
- globals_ = {'__name__': 'pkg.fake', '__path__': []}
- if package_as_None:
- globals_['__package__'] = None
- with self.mock_modules('pkg.__init__', 'pkg.fake') as importer:
- with util.import_state(meta_path=[importer]):
- self.__import__('pkg.fake')
- module = self.__import__('', globals= globals_,
- fromlist=['attr'], level=2)
- self.assertEqual(module.__name__, 'pkg')
+ module = self.import_module({'__name__': 'pkg.fake', '__path__': []})
+ self.assertEqual(module.__name__, 'pkg')
+
+ def test_warn_when_using___name__(self):
+ with self.assertWarns(ImportWarning):
+ self.import_module({'__name__': 'pkg.fake', '__path__': []})
def test_None_as___package__(self):
# [None]
- self.test_using___name__(package_as_None=True)
+ module = self.import_module({
+ '__name__': 'pkg.fake', '__path__': [], '__package__': None })
+ self.assertEqual(module.__name__, 'pkg')
+
+ def test_prefers___spec__(self):
+ globals = {'__spec__': FakeSpec()}
+ with self.assertRaises(SystemError):
+ self.__import__('', globals, {}, ['relimport'], 1)
def test_bad__package__(self):
globals = {'__package__': '<not real>'}
@@ -70,6 +78,10 @@ class Using__package__:
self.__import__('', globals, {}, ['relimport'], 1)
+class FakeSpec:
+ parent = '<fake>'
+
+
class Using__package__PEP302(Using__package__):
mock_modules = util.mock_modules
diff --git a/Misc/NEWS b/Misc/NEWS
index da53b95..f87703f 100644
--- a/Misc/NEWS
+++ b/Misc/NEWS
@@ -10,6 +10,9 @@ Release date: tba
Core and Builtins
-----------------
+- Issue #25791: Trying to resolve a relative import without __spec__ or
+ __package__ defined now raises an ImportWarning
+
- Issue #25961: Disallowed null characters in the type name.
- Issue #25973: Fix segfault when an invalid nonlocal statement binds a name
diff --git a/Python/import.c b/Python/import.c
index 325b936..c1071c0 100644
--- a/Python/import.c
+++ b/Python/import.c
@@ -1359,6 +1359,7 @@ PyImport_ImportModuleLevelObject(PyObject *name, PyObject *given_globals,
PyObject *final_mod = NULL;
PyObject *mod = NULL;
PyObject *package = NULL;
+ PyObject *spec = NULL;
PyObject *globals = NULL;
PyObject *fromlist = NULL;
PyInterpreterState *interp = PyThreadState_GET()->interp;
@@ -1414,39 +1415,60 @@ PyImport_ImportModuleLevelObject(PyObject *name, PyObject *given_globals,
goto error;
}
else if (level > 0) {
- package = _PyDict_GetItemId(globals, &PyId___package__);
+ spec = _PyDict_GetItemId(globals, &PyId___spec__);
+ if (spec != NULL) {
+ package = PyObject_GetAttrString(spec, "parent");
+ }
if (package != NULL && package != Py_None) {
- Py_INCREF(package);
if (!PyUnicode_Check(package)) {
- PyErr_SetString(PyExc_TypeError, "package must be a string");
+ PyErr_SetString(PyExc_TypeError,
+ "__spec__.parent must be a string");
goto error;
}
}
else {
- package = _PyDict_GetItemId(globals, &PyId___name__);
- if (package == NULL) {
- PyErr_SetString(PyExc_KeyError, "'__name__' not in globals");
- goto error;
- }
- else if (!PyUnicode_Check(package)) {
- PyErr_SetString(PyExc_TypeError, "__name__ must be a string");
+ package = _PyDict_GetItemId(globals, &PyId___package__);
+ if (package != NULL && package != Py_None) {
+ Py_INCREF(package);
+ if (!PyUnicode_Check(package)) {
+ PyErr_SetString(PyExc_TypeError, "package must be a string");
+ goto error;
+ }
}
- Py_INCREF(package);
-
- if (_PyDict_GetItemId(globals, &PyId___path__) == NULL) {
- PyObject *partition = NULL;
- PyObject *borrowed_dot = _PyUnicode_FromId(&single_dot);
- if (borrowed_dot == NULL) {
+ else {
+ if (PyErr_WarnEx(PyExc_ImportWarning,
+ "can't resolve package from __spec__ or __package__, "
+ "falling back on __name__ and __path__", 1) < 0) {
goto error;
}
- partition = PyUnicode_RPartition(package, borrowed_dot);
- Py_DECREF(package);
- if (partition == NULL) {
+
+ package = _PyDict_GetItemId(globals, &PyId___name__);
+ if (package == NULL) {
+ PyErr_SetString(PyExc_KeyError, "'__name__' not in globals");
goto error;
}
- package = PyTuple_GET_ITEM(partition, 0);
+
Py_INCREF(package);
- Py_DECREF(partition);
+ if (!PyUnicode_Check(package)) {
+ PyErr_SetString(PyExc_TypeError, "__name__ must be a string");
+ goto error;
+ }
+
+ if (_PyDict_GetItemId(globals, &PyId___path__) == NULL) {
+ PyObject *partition = NULL;
+ PyObject *borrowed_dot = _PyUnicode_FromId(&single_dot);
+ if (borrowed_dot == NULL) {
+ goto error;
+ }
+ partition = PyUnicode_RPartition(package, borrowed_dot);
+ Py_DECREF(package);
+ if (partition == NULL) {
+ goto error;
+ }
+ package = PyTuple_GET_ITEM(partition, 0);
+ Py_INCREF(package);
+ Py_DECREF(partition);
+ }
}
}
diff --git a/Python/importlib.h b/Python/importlib.h
index a4daf62..709c5fd 100644
--- a/Python/importlib.h
+++ b/Python/importlib.h
@@ -1057,7 +1057,7 @@ const unsigned char _Py_M__importlib[] = {
100,101,114,115,32,100,101,102,105,110,105,110,103,32,101,120,
101,99,95,109,111,100,117,108,101,40,41,32,109,117,115,116,
32,97,108,115,111,32,100,101,102,105,110,101,32,99,114,101,
- 97,116,101,95,109,111,100,117,108,101,40,41,90,10,115,116,
+ 97,116,101,95,109,111,100,117,108,101,40,41,218,10,115,116,
97,99,107,108,101,118,101,108,233,2,0,0,0,41,9,114,
4,0,0,0,114,99,0,0,0,114,138,0,0,0,218,9,
95,119,97,114,110,105,110,103,115,218,4,119,97,114,110,218,
@@ -1067,7 +1067,7 @@ const unsigned char _Py_M__importlib[] = {
0,0,0,114,10,0,0,0,114,11,0,0,0,218,16,109,
111,100,117,108,101,95,102,114,111,109,95,115,112,101,99,58,
2,0,0,115,20,0,0,0,0,3,6,1,18,3,21,1,
- 18,1,9,2,13,1,12,1,15,1,13,1,114,144,0,0,
+ 18,1,9,2,13,1,12,1,15,1,13,1,114,145,0,0,
0,99,1,0,0,0,0,0,0,0,2,0,0,0,3,0,
0,0,67,0,0,0,115,149,0,0,0,124,0,0,106,0,
0,100,1,0,107,8,0,114,21,0,100,2,0,110,6,0,
@@ -1149,7 +1149,7 @@ const unsigned char _Py_M__importlib[] = {
0,1,1,1,89,110,1,0,88,124,1,0,83,41,7,78,
114,91,0,0,0,114,134,0,0,0,114,131,0,0,0,114,
121,0,0,0,114,33,0,0,0,114,95,0,0,0,41,13,
- 114,99,0,0,0,114,146,0,0,0,114,15,0,0,0,114,
+ 114,99,0,0,0,114,147,0,0,0,114,15,0,0,0,114,
14,0,0,0,114,21,0,0,0,114,6,0,0,0,114,91,
0,0,0,114,96,0,0,0,114,1,0,0,0,114,134,0,
0,0,114,4,0,0,0,114,122,0,0,0,114,95,0,0,
@@ -1159,7 +1159,7 @@ const unsigned char _Py_M__importlib[] = {
112,97,116,105,98,108,101,118,2,0,0,115,40,0,0,0,
0,4,19,2,16,1,24,1,3,1,16,1,13,1,5,1,
24,1,3,4,12,1,15,1,29,1,13,1,5,1,24,1,
- 3,1,13,1,13,1,5,1,114,148,0,0,0,99,1,0,
+ 3,1,13,1,13,1,5,1,114,149,0,0,0,99,1,0,
0,0,0,0,0,0,2,0,0,0,11,0,0,0,67,0,
0,0,115,159,0,0,0,124,0,0,106,0,0,100,0,0,
107,9,0,114,43,0,116,1,0,124,0,0,106,0,0,100,
@@ -1174,14 +1174,14 @@ const unsigned char _Py_M__importlib[] = {
0,106,7,0,25,83,41,4,78,114,139,0,0,0,122,14,
109,105,115,115,105,110,103,32,108,111,97,100,101,114,114,15,
0,0,0,41,11,114,99,0,0,0,114,4,0,0,0,114,
- 148,0,0,0,114,144,0,0,0,114,102,0,0,0,114,110,
+ 149,0,0,0,114,145,0,0,0,114,102,0,0,0,114,110,
0,0,0,114,77,0,0,0,114,15,0,0,0,114,139,0,
0,0,114,14,0,0,0,114,21,0,0,0,41,2,114,88,
0,0,0,114,89,0,0,0,114,10,0,0,0,114,10,0,
0,0,114,11,0,0,0,218,14,95,108,111,97,100,95,117,
110,108,111,99,107,101,100,147,2,0,0,115,20,0,0,0,
0,2,15,2,18,1,10,2,12,1,13,1,15,1,15,1,
- 24,3,23,5,114,149,0,0,0,99,1,0,0,0,0,0,
+ 24,3,23,5,114,150,0,0,0,99,1,0,0,0,0,0,
0,0,1,0,0,0,9,0,0,0,67,0,0,0,115,47,
0,0,0,116,0,0,106,1,0,131,0,0,1,116,2,0,
124,0,0,106,3,0,131,1,0,143,15,0,1,116,4,0,
@@ -1198,8 +1198,8 @@ const unsigned char _Py_M__importlib[] = {
100,117,108,101,115,44,32,116,104,97,116,32,101,120,105,115,
116,105,110,103,32,109,111,100,117,108,101,32,103,101,116,115,
10,32,32,32,32,99,108,111,98,98,101,114,101,100,46,10,
- 10,32,32,32,32,78,41,5,114,57,0,0,0,114,145,0,
- 0,0,114,54,0,0,0,114,15,0,0,0,114,149,0,0,
+ 10,32,32,32,32,78,41,5,114,57,0,0,0,114,146,0,
+ 0,0,114,54,0,0,0,114,15,0,0,0,114,150,0,0,
0,41,1,114,88,0,0,0,114,10,0,0,0,114,10,0,
0,0,114,11,0,0,0,114,87,0,0,0,170,2,0,0,
115,6,0,0,0,0,9,10,1,16,1,114,87,0,0,0,
@@ -1274,8 +1274,8 @@ const unsigned char _Py_M__importlib[] = {
112,114,101,99,97,116,101,100,46,32,32,85,115,101,32,102,
105,110,100,95,115,112,101,99,40,41,32,105,110,115,116,101,
97,100,46,10,10,32,32,32,32,32,32,32,32,78,41,2,
- 114,154,0,0,0,114,99,0,0,0,41,4,114,151,0,0,
- 0,114,78,0,0,0,114,152,0,0,0,114,88,0,0,0,
+ 114,155,0,0,0,114,99,0,0,0,41,4,114,152,0,0,
+ 0,114,78,0,0,0,114,153,0,0,0,114,88,0,0,0,
114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,218,
11,102,105,110,100,95,109,111,100,117,108,101,213,2,0,0,
115,4,0,0,0,0,9,18,1,122,27,66,117,105,108,116,
@@ -1315,7 +1315,7 @@ const unsigned char _Py_M__importlib[] = {
32,97,115,32,98,117,105,108,116,45,105,110,32,109,111,100,
117,108,101,115,32,100,111,32,110,111,116,32,104,97,118,101,
32,99,111,100,101,32,111,98,106,101,99,116,115,46,78,114,
- 10,0,0,0,41,2,114,151,0,0,0,114,78,0,0,0,
+ 10,0,0,0,41,2,114,152,0,0,0,114,78,0,0,0,
114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,218,
8,103,101,116,95,99,111,100,101,238,2,0,0,115,2,0,
0,0,0,4,122,24,66,117,105,108,116,105,110,73,109,112,
@@ -1326,7 +1326,7 @@ const unsigned char _Py_M__importlib[] = {
117,105,108,116,45,105,110,32,109,111,100,117,108,101,115,32,
100,111,32,110,111,116,32,104,97,118,101,32,115,111,117,114,
99,101,32,99,111,100,101,46,78,114,10,0,0,0,41,2,
- 114,151,0,0,0,114,78,0,0,0,114,10,0,0,0,114,
+ 114,152,0,0,0,114,78,0,0,0,114,10,0,0,0,114,
10,0,0,0,114,11,0,0,0,218,10,103,101,116,95,115,
111,117,114,99,101,244,2,0,0,115,2,0,0,0,0,4,
122,26,66,117,105,108,116,105,110,73,109,112,111,114,116,101,
@@ -1336,7 +1336,7 @@ const unsigned char _Py_M__importlib[] = {
116,117,114,110,32,70,97,108,115,101,32,97,115,32,98,117,
105,108,116,45,105,110,32,109,111,100,117,108,101,115,32,97,
114,101,32,110,101,118,101,114,32,112,97,99,107,97,103,101,
- 115,46,70,114,10,0,0,0,41,2,114,151,0,0,0,114,
+ 115,46,70,114,10,0,0,0,41,2,114,152,0,0,0,114,
78,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11,
0,0,0,114,109,0,0,0,250,2,0,0,115,2,0,0,
0,0,4,122,26,66,117,105,108,116,105,110,73,109,112,111,
@@ -1344,14 +1344,14 @@ const unsigned char _Py_M__importlib[] = {
17,114,1,0,0,0,114,0,0,0,0,114,2,0,0,0,
114,3,0,0,0,218,12,115,116,97,116,105,99,109,101,116,
104,111,100,114,92,0,0,0,218,11,99,108,97,115,115,109,
- 101,116,104,111,100,114,154,0,0,0,114,155,0,0,0,114,
- 138,0,0,0,114,139,0,0,0,114,81,0,0,0,114,156,
- 0,0,0,114,157,0,0,0,114,109,0,0,0,114,90,0,
- 0,0,114,146,0,0,0,114,10,0,0,0,114,10,0,0,
- 0,114,10,0,0,0,114,11,0,0,0,114,150,0,0,0,
+ 101,116,104,111,100,114,155,0,0,0,114,156,0,0,0,114,
+ 138,0,0,0,114,139,0,0,0,114,81,0,0,0,114,157,
+ 0,0,0,114,158,0,0,0,114,109,0,0,0,114,90,0,
+ 0,0,114,147,0,0,0,114,10,0,0,0,114,10,0,0,
+ 0,114,10,0,0,0,114,11,0,0,0,114,151,0,0,0,
186,2,0,0,115,30,0,0,0,12,7,6,2,18,9,3,
1,21,8,3,1,18,11,18,8,18,5,3,1,21,5,3,
- 1,21,5,3,1,21,5,114,150,0,0,0,99,0,0,0,
+ 1,21,5,3,1,21,5,114,151,0,0,0,99,0,0,0,
0,0,0,0,0,0,0,0,0,5,0,0,0,64,0,0,
0,115,211,0,0,0,101,0,0,90,1,0,100,0,0,90,
2,0,100,1,0,90,3,0,101,4,0,100,2,0,100,3,
@@ -1399,9 +1399,9 @@ const unsigned char _Py_M__importlib[] = {
124,0,0,100,1,0,100,2,0,131,2,1,83,100,0,0,
83,100,0,0,83,41,3,78,114,107,0,0,0,90,6,102,
114,111,122,101,110,41,3,114,57,0,0,0,114,82,0,0,
- 0,114,85,0,0,0,41,4,114,151,0,0,0,114,78,0,
- 0,0,114,152,0,0,0,114,153,0,0,0,114,10,0,0,
- 0,114,10,0,0,0,114,11,0,0,0,114,154,0,0,0,
+ 0,114,85,0,0,0,41,4,114,152,0,0,0,114,78,0,
+ 0,0,114,153,0,0,0,114,154,0,0,0,114,10,0,0,
+ 0,114,10,0,0,0,114,11,0,0,0,114,155,0,0,0,
21,3,0,0,115,6,0,0,0,0,2,15,1,19,2,122,
24,70,114,111,122,101,110,73,109,112,111,114,116,101,114,46,
102,105,110,100,95,115,112,101,99,99,3,0,0,0,0,0,
@@ -1414,9 +1414,9 @@ const unsigned char _Py_M__importlib[] = {
101,99,97,116,101,100,46,32,32,85,115,101,32,102,105,110,
100,95,115,112,101,99,40,41,32,105,110,115,116,101,97,100,
46,10,10,32,32,32,32,32,32,32,32,78,41,2,114,57,
- 0,0,0,114,82,0,0,0,41,3,114,151,0,0,0,114,
- 78,0,0,0,114,152,0,0,0,114,10,0,0,0,114,10,
- 0,0,0,114,11,0,0,0,114,155,0,0,0,28,3,0,
+ 0,0,0,114,82,0,0,0,41,3,114,152,0,0,0,114,
+ 78,0,0,0,114,153,0,0,0,114,10,0,0,0,114,10,
+ 0,0,0,114,11,0,0,0,114,156,0,0,0,28,3,0,
0,115,2,0,0,0,0,7,122,26,70,114,111,122,101,110,
73,109,112,111,114,116,101,114,46,102,105,110,100,95,109,111,
100,117,108,101,99,2,0,0,0,0,0,0,0,2,0,0,
@@ -1424,7 +1424,7 @@ const unsigned char _Py_M__importlib[] = {
0,83,41,2,122,42,85,115,101,32,100,101,102,97,117,108,
116,32,115,101,109,97,110,116,105,99,115,32,102,111,114,32,
109,111,100,117,108,101,32,99,114,101,97,116,105,111,110,46,
- 78,114,10,0,0,0,41,2,114,151,0,0,0,114,88,0,
+ 78,114,10,0,0,0,41,2,114,152,0,0,0,114,88,0,
0,0,114,10,0,0,0,114,10,0,0,0,114,11,0,0,
0,114,138,0,0,0,37,3,0,0,115,0,0,0,0,122,
28,70,114,111,122,101,110,73,109,112,111,114,116,101,114,46,
@@ -1457,8 +1457,8 @@ const unsigned char _Py_M__importlib[] = {
99,97,116,101,100,46,32,32,85,115,101,32,101,120,101,99,
95,109,111,100,117,108,101,40,41,32,105,110,115,116,101,97,
100,46,10,10,32,32,32,32,32,32,32,32,41,1,114,90,
- 0,0,0,41,2,114,151,0,0,0,114,78,0,0,0,114,
- 10,0,0,0,114,10,0,0,0,114,11,0,0,0,114,146,
+ 0,0,0,41,2,114,152,0,0,0,114,78,0,0,0,114,
+ 10,0,0,0,114,10,0,0,0,114,11,0,0,0,114,147,
0,0,0,50,3,0,0,115,2,0,0,0,0,7,122,26,
70,114,111,122,101,110,73,109,112,111,114,116,101,114,46,108,
111,97,100,95,109,111,100,117,108,101,99,2,0,0,0,0,
@@ -1467,9 +1467,9 @@ const unsigned char _Py_M__importlib[] = {
83,41,1,122,45,82,101,116,117,114,110,32,116,104,101,32,
99,111,100,101,32,111,98,106,101,99,116,32,102,111,114,32,
116,104,101,32,102,114,111,122,101,110,32,109,111,100,117,108,
- 101,46,41,2,114,57,0,0,0,114,162,0,0,0,41,2,
- 114,151,0,0,0,114,78,0,0,0,114,10,0,0,0,114,
- 10,0,0,0,114,11,0,0,0,114,156,0,0,0,59,3,
+ 101,46,41,2,114,57,0,0,0,114,163,0,0,0,41,2,
+ 114,152,0,0,0,114,78,0,0,0,114,10,0,0,0,114,
+ 10,0,0,0,114,11,0,0,0,114,157,0,0,0,59,3,
0,0,115,2,0,0,0,0,4,122,23,70,114,111,122,101,
110,73,109,112,111,114,116,101,114,46,103,101,116,95,99,111,
100,101,99,2,0,0,0,0,0,0,0,2,0,0,0,1,
@@ -1478,8 +1478,8 @@ const unsigned char _Py_M__importlib[] = {
97,115,32,102,114,111,122,101,110,32,109,111,100,117,108,101,
115,32,100,111,32,110,111,116,32,104,97,118,101,32,115,111,
117,114,99,101,32,99,111,100,101,46,78,114,10,0,0,0,
- 41,2,114,151,0,0,0,114,78,0,0,0,114,10,0,0,
- 0,114,10,0,0,0,114,11,0,0,0,114,157,0,0,0,
+ 41,2,114,152,0,0,0,114,78,0,0,0,114,10,0,0,
+ 0,114,10,0,0,0,114,11,0,0,0,114,158,0,0,0,
65,3,0,0,115,2,0,0,0,0,4,122,25,70,114,111,
122,101,110,73,109,112,111,114,116,101,114,46,103,101,116,95,
115,111,117,114,99,101,99,2,0,0,0,0,0,0,0,2,
@@ -1489,21 +1489,21 @@ const unsigned char _Py_M__importlib[] = {
116,104,101,32,102,114,111,122,101,110,32,109,111,100,117,108,
101,32,105,115,32,97,32,112,97,99,107,97,103,101,46,41,
2,114,57,0,0,0,90,17,105,115,95,102,114,111,122,101,
- 110,95,112,97,99,107,97,103,101,41,2,114,151,0,0,0,
+ 110,95,112,97,99,107,97,103,101,41,2,114,152,0,0,0,
114,78,0,0,0,114,10,0,0,0,114,10,0,0,0,114,
11,0,0,0,114,109,0,0,0,71,3,0,0,115,2,0,
0,0,0,4,122,25,70,114,111,122,101,110,73,109,112,111,
114,116,101,114,46,105,115,95,112,97,99,107,97,103,101,41,
16,114,1,0,0,0,114,0,0,0,0,114,2,0,0,0,
- 114,3,0,0,0,114,158,0,0,0,114,92,0,0,0,114,
- 159,0,0,0,114,154,0,0,0,114,155,0,0,0,114,138,
- 0,0,0,114,139,0,0,0,114,146,0,0,0,114,84,0,
- 0,0,114,156,0,0,0,114,157,0,0,0,114,109,0,0,
+ 114,3,0,0,0,114,159,0,0,0,114,92,0,0,0,114,
+ 160,0,0,0,114,155,0,0,0,114,156,0,0,0,114,138,
+ 0,0,0,114,139,0,0,0,114,147,0,0,0,114,84,0,
+ 0,0,114,157,0,0,0,114,158,0,0,0,114,109,0,0,
0,114,10,0,0,0,114,10,0,0,0,114,10,0,0,0,
- 114,11,0,0,0,114,160,0,0,0,3,3,0,0,115,30,
+ 114,11,0,0,0,114,161,0,0,0,3,3,0,0,115,30,
0,0,0,12,7,6,2,18,9,3,1,21,6,3,1,18,
8,18,4,18,9,18,9,3,1,21,5,3,1,21,5,3,
- 1,114,160,0,0,0,99,0,0,0,0,0,0,0,0,0,
+ 1,114,161,0,0,0,99,0,0,0,0,0,0,0,0,0,
0,0,0,2,0,0,0,64,0,0,0,115,46,0,0,0,
101,0,0,90,1,0,100,0,0,90,2,0,100,1,0,90,
3,0,100,2,0,100,3,0,132,0,0,90,4,0,100,4,
@@ -1516,7 +1516,7 @@ const unsigned char _Py_M__importlib[] = {
14,0,0,0,116,0,0,106,1,0,131,0,0,1,100,1,
0,83,41,2,122,24,65,99,113,117,105,114,101,32,116,104,
101,32,105,109,112,111,114,116,32,108,111,99,107,46,78,41,
- 2,114,57,0,0,0,114,145,0,0,0,41,1,114,19,0,
+ 2,114,57,0,0,0,114,146,0,0,0,41,1,114,19,0,
0,0,114,10,0,0,0,114,10,0,0,0,114,11,0,0,
0,114,23,0,0,0,84,3,0,0,115,2,0,0,0,0,
2,122,28,95,73,109,112,111,114,116,76,111,99,107,67,111,
@@ -1538,8 +1538,8 @@ const unsigned char _Py_M__importlib[] = {
0,0,0,114,0,0,0,0,114,2,0,0,0,114,3,0,
0,0,114,23,0,0,0,114,30,0,0,0,114,10,0,0,
0,114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,
- 114,165,0,0,0,80,3,0,0,115,6,0,0,0,12,2,
- 6,2,12,4,114,165,0,0,0,99,3,0,0,0,0,0,
+ 114,166,0,0,0,80,3,0,0,115,6,0,0,0,12,2,
+ 6,2,12,4,114,166,0,0,0,99,3,0,0,0,0,0,
0,0,5,0,0,0,4,0,0,0,67,0,0,0,115,88,
0,0,0,124,1,0,106,0,0,100,1,0,124,2,0,100,
2,0,24,131,2,0,125,3,0,116,1,0,124,3,0,131,
@@ -1562,17 +1562,17 @@ const unsigned char _Py_M__importlib[] = {
0,0,0,114,10,0,0,0,114,11,0,0,0,218,13,95,
114,101,115,111,108,118,101,95,110,97,109,101,93,3,0,0,
115,10,0,0,0,0,2,22,1,18,1,12,1,10,1,114,
- 171,0,0,0,99,3,0,0,0,0,0,0,0,4,0,0,
+ 172,0,0,0,99,3,0,0,0,0,0,0,0,4,0,0,
0,3,0,0,0,67,0,0,0,115,47,0,0,0,124,0,
0,106,0,0,124,1,0,124,2,0,131,2,0,125,3,0,
124,3,0,100,0,0,107,8,0,114,34,0,100,0,0,83,
116,1,0,124,1,0,124,3,0,131,2,0,83,41,1,78,
- 41,2,114,155,0,0,0,114,85,0,0,0,41,4,218,6,
- 102,105,110,100,101,114,114,15,0,0,0,114,152,0,0,0,
+ 41,2,114,156,0,0,0,114,85,0,0,0,41,4,218,6,
+ 102,105,110,100,101,114,114,15,0,0,0,114,153,0,0,0,
114,99,0,0,0,114,10,0,0,0,114,10,0,0,0,114,
11,0,0,0,218,17,95,102,105,110,100,95,115,112,101,99,
95,108,101,103,97,99,121,102,3,0,0,115,8,0,0,0,
- 0,3,18,1,12,1,4,1,114,173,0,0,0,99,3,0,
+ 0,3,18,1,12,1,4,1,114,174,0,0,0,99,3,0,
0,0,0,0,0,0,9,0,0,0,27,0,0,0,67,0,
0,0,115,42,1,0,0,116,0,0,106,1,0,100,1,0,
107,9,0,114,41,0,116,0,0,106,1,0,12,114,41,0,
@@ -1597,19 +1597,19 @@ const unsigned char _Py_M__importlib[] = {
108,101,39,115,32,108,111,97,100,101,114,46,78,122,22,115,
121,115,46,109,101,116,97,95,112,97,116,104,32,105,115,32,
101,109,112,116,121,41,11,114,14,0,0,0,218,9,109,101,
- 116,97,95,112,97,116,104,114,141,0,0,0,114,142,0,0,
+ 116,97,95,112,97,116,104,114,142,0,0,0,114,143,0,0,
0,218,13,73,109,112,111,114,116,87,97,114,110,105,110,103,
- 114,21,0,0,0,114,165,0,0,0,114,154,0,0,0,114,
- 96,0,0,0,114,173,0,0,0,114,95,0,0,0,41,9,
- 114,15,0,0,0,114,152,0,0,0,114,153,0,0,0,90,
- 9,105,115,95,114,101,108,111,97,100,114,172,0,0,0,114,
- 154,0,0,0,114,88,0,0,0,114,89,0,0,0,114,95,
+ 114,21,0,0,0,114,166,0,0,0,114,155,0,0,0,114,
+ 96,0,0,0,114,174,0,0,0,114,95,0,0,0,41,9,
+ 114,15,0,0,0,114,153,0,0,0,114,154,0,0,0,90,
+ 9,105,115,95,114,101,108,111,97,100,114,173,0,0,0,114,
+ 155,0,0,0,114,88,0,0,0,114,89,0,0,0,114,95,
0,0,0,114,10,0,0,0,114,10,0,0,0,114,11,0,
0,0,218,10,95,102,105,110,100,95,115,112,101,99,111,3,
0,0,115,48,0,0,0,0,2,25,1,16,4,15,1,16,
1,10,1,3,1,13,1,13,1,18,1,12,1,8,2,25,
1,12,2,22,1,13,1,3,1,13,1,13,4,9,2,12,
- 1,4,2,7,2,8,2,114,176,0,0,0,99,3,0,0,
+ 1,4,2,7,2,8,2,114,177,0,0,0,99,3,0,0,
0,0,0,0,0,4,0,0,0,4,0,0,0,67,0,0,
0,115,179,0,0,0,116,0,0,124,0,0,116,1,0,131,
2,0,115,42,0,116,2,0,100,1,0,106,3,0,116,4,
@@ -1638,14 +1638,14 @@ const unsigned char _Py_M__importlib[] = {
101,32,110,97,109,101,78,41,9,218,10,105,115,105,110,115,
116,97,110,99,101,218,3,115,116,114,218,9,84,121,112,101,
69,114,114,111,114,114,50,0,0,0,114,13,0,0,0,114,
- 168,0,0,0,114,14,0,0,0,114,21,0,0,0,218,11,
+ 169,0,0,0,114,14,0,0,0,114,21,0,0,0,218,11,
83,121,115,116,101,109,69,114,114,111,114,41,4,114,15,0,
- 0,0,114,169,0,0,0,114,170,0,0,0,114,147,0,0,
+ 0,0,114,170,0,0,0,114,171,0,0,0,114,148,0,0,
0,114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,
218,13,95,115,97,110,105,116,121,95,99,104,101,99,107,151,
3,0,0,115,24,0,0,0,0,2,15,1,27,1,12,1,
12,1,6,1,15,1,15,1,15,1,6,2,21,1,19,1,
- 114,181,0,0,0,122,16,78,111,32,109,111,100,117,108,101,
+ 114,182,0,0,0,122,16,78,111,32,109,111,100,117,108,101,
32,110,97,109,101,100,32,122,4,123,33,114,125,99,2,0,
0,0,0,0,0,0,8,0,0,0,12,0,0,0,67,0,
0,0,115,40,1,0,0,100,0,0,125,2,0,124,0,0,
@@ -1669,21 +1669,21 @@ const unsigned char _Py_M__importlib[] = {
100,5,0,25,124,7,0,131,3,0,1,124,7,0,83,41,
6,78,114,121,0,0,0,114,33,0,0,0,122,23,59,32,
123,33,114,125,32,105,115,32,110,111,116,32,97,32,112,97,
- 99,107,97,103,101,114,15,0,0,0,114,140,0,0,0,41,
+ 99,107,97,103,101,114,15,0,0,0,114,141,0,0,0,41,
12,114,122,0,0,0,114,14,0,0,0,114,21,0,0,0,
114,65,0,0,0,114,131,0,0,0,114,96,0,0,0,218,
8,95,69,82,82,95,77,83,71,114,50,0,0,0,114,77,
- 0,0,0,114,176,0,0,0,114,149,0,0,0,114,5,0,
+ 0,0,0,114,177,0,0,0,114,150,0,0,0,114,5,0,
0,0,41,8,114,15,0,0,0,218,7,105,109,112,111,114,
- 116,95,114,152,0,0,0,114,123,0,0,0,90,13,112,97,
- 114,101,110,116,95,109,111,100,117,108,101,114,147,0,0,0,
+ 116,95,114,153,0,0,0,114,123,0,0,0,90,13,112,97,
+ 114,101,110,116,95,109,111,100,117,108,101,114,148,0,0,0,
114,88,0,0,0,114,89,0,0,0,114,10,0,0,0,114,
10,0,0,0,114,11,0,0,0,218,23,95,102,105,110,100,
95,97,110,100,95,108,111,97,100,95,117,110,108,111,99,107,
101,100,171,3,0,0,115,42,0,0,0,0,1,6,1,19,
1,6,1,15,1,13,2,15,1,11,1,13,1,3,1,13,
1,13,1,22,1,26,1,15,1,12,1,30,2,12,1,6,
- 2,13,1,29,1,114,184,0,0,0,99,2,0,0,0,0,
+ 2,13,1,29,1,114,185,0,0,0,99,2,0,0,0,0,
0,0,0,2,0,0,0,10,0,0,0,67,0,0,0,115,
37,0,0,0,116,0,0,124,0,0,131,1,0,143,18,0,
1,116,1,0,124,0,0,124,1,0,131,2,0,83,87,100,
@@ -1691,11 +1691,11 @@ const unsigned char _Py_M__importlib[] = {
100,32,97,110,100,32,108,111,97,100,32,116,104,101,32,109,
111,100,117,108,101,44,32,97,110,100,32,114,101,108,101,97,
115,101,32,116,104,101,32,105,109,112,111,114,116,32,108,111,
- 99,107,46,78,41,2,114,54,0,0,0,114,184,0,0,0,
- 41,2,114,15,0,0,0,114,183,0,0,0,114,10,0,0,
+ 99,107,46,78,41,2,114,54,0,0,0,114,185,0,0,0,
+ 41,2,114,15,0,0,0,114,184,0,0,0,114,10,0,0,
0,114,10,0,0,0,114,11,0,0,0,218,14,95,102,105,
110,100,95,97,110,100,95,108,111,97,100,198,3,0,0,115,
- 4,0,0,0,0,2,13,1,114,185,0,0,0,114,33,0,
+ 4,0,0,0,0,2,13,1,114,186,0,0,0,114,33,0,
0,0,99,3,0,0,0,0,0,0,0,5,0,0,0,4,
0,0,0,67,0,0,0,115,166,0,0,0,116,0,0,124,
0,0,124,1,0,124,2,0,131,3,0,1,124,2,0,100,
@@ -1731,16 +1731,16 @@ const unsigned char _Py_M__importlib[] = {
78,122,40,105,109,112,111,114,116,32,111,102,32,123,125,32,
104,97,108,116,101,100,59,32,78,111,110,101,32,105,110,32,
115,121,115,46,109,111,100,117,108,101,115,114,15,0,0,0,
- 41,12,114,181,0,0,0,114,171,0,0,0,114,57,0,0,
- 0,114,145,0,0,0,114,14,0,0,0,114,21,0,0,0,
- 114,185,0,0,0,218,11,95,103,99,100,95,105,109,112,111,
+ 41,12,114,182,0,0,0,114,172,0,0,0,114,57,0,0,
+ 0,114,146,0,0,0,114,14,0,0,0,114,21,0,0,0,
+ 114,186,0,0,0,218,11,95,103,99,100,95,105,109,112,111,
114,116,114,58,0,0,0,114,50,0,0,0,114,77,0,0,
- 0,114,63,0,0,0,41,5,114,15,0,0,0,114,169,0,
- 0,0,114,170,0,0,0,114,89,0,0,0,114,74,0,0,
+ 0,114,63,0,0,0,41,5,114,15,0,0,0,114,170,0,
+ 0,0,114,171,0,0,0,114,89,0,0,0,114,74,0,0,
0,114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,
- 114,186,0,0,0,204,3,0,0,115,28,0,0,0,0,9,
+ 114,187,0,0,0,204,3,0,0,115,28,0,0,0,0,9,
16,1,12,1,18,1,10,1,15,1,13,1,13,1,12,1,
- 10,1,6,1,9,1,18,1,10,1,114,186,0,0,0,99,
+ 10,1,6,1,9,1,18,1,10,1,114,187,0,0,0,99,
3,0,0,0,0,0,0,0,6,0,0,0,17,0,0,0,
67,0,0,0,115,239,0,0,0,116,0,0,124,0,0,100,
1,0,131,2,0,114,235,0,100,2,0,124,1,0,107,6,
@@ -1776,213 +1776,226 @@ const unsigned char _Py_M__importlib[] = {
1,42,218,7,95,95,97,108,108,95,95,122,5,123,125,46,
123,125,78,41,13,114,4,0,0,0,114,130,0,0,0,218,
6,114,101,109,111,118,101,218,6,101,120,116,101,110,100,114,
- 188,0,0,0,114,50,0,0,0,114,1,0,0,0,114,65,
- 0,0,0,114,77,0,0,0,114,178,0,0,0,114,71,0,
+ 189,0,0,0,114,50,0,0,0,114,1,0,0,0,114,65,
+ 0,0,0,114,77,0,0,0,114,179,0,0,0,114,71,0,
0,0,218,15,95,69,82,82,95,77,83,71,95,80,82,69,
70,73,88,114,15,0,0,0,41,6,114,89,0,0,0,218,
- 8,102,114,111,109,108,105,115,116,114,183,0,0,0,218,1,
+ 8,102,114,111,109,108,105,115,116,114,184,0,0,0,218,1,
120,90,9,102,114,111,109,95,110,97,109,101,90,3,101,120,
99,114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,
218,16,95,104,97,110,100,108,101,95,102,114,111,109,108,105,
115,116,228,3,0,0,115,34,0,0,0,0,10,15,1,12,
1,12,1,13,1,15,1,16,1,13,1,15,1,21,1,3,
- 1,17,1,18,4,21,1,15,1,3,1,26,1,114,194,0,
- 0,0,99,1,0,0,0,0,0,0,0,2,0,0,0,2,
- 0,0,0,67,0,0,0,115,72,0,0,0,124,0,0,106,
+ 1,17,1,18,4,21,1,15,1,3,1,26,1,114,195,0,
+ 0,0,99,1,0,0,0,0,0,0,0,3,0,0,0,5,
+ 0,0,0,67,0,0,0,115,128,0,0,0,124,0,0,106,
0,0,100,1,0,131,1,0,125,1,0,124,1,0,100,2,
- 0,107,8,0,114,68,0,124,0,0,100,3,0,25,125,1,
- 0,100,4,0,124,0,0,107,7,0,114,68,0,124,1,0,
- 106,1,0,100,5,0,131,1,0,100,6,0,25,125,1,0,
- 124,1,0,83,41,7,122,167,67,97,108,99,117,108,97,116,
- 101,32,119,104,97,116,32,95,95,112,97,99,107,97,103,101,
- 95,95,32,115,104,111,117,108,100,32,98,101,46,10,10,32,
- 32,32,32,95,95,112,97,99,107,97,103,101,95,95,32,105,
- 115,32,110,111,116,32,103,117,97,114,97,110,116,101,101,100,
- 32,116,111,32,98,101,32,100,101,102,105,110,101,100,32,111,
- 114,32,99,111,117,108,100,32,98,101,32,115,101,116,32,116,
- 111,32,78,111,110,101,10,32,32,32,32,116,111,32,114,101,
- 112,114,101,115,101,110,116,32,116,104,97,116,32,105,116,115,
- 32,112,114,111,112,101,114,32,118,97,108,117,101,32,105,115,
- 32,117,110,107,110,111,119,110,46,10,10,32,32,32,32,114,
- 134,0,0,0,78,114,1,0,0,0,114,131,0,0,0,114,
- 121,0,0,0,114,33,0,0,0,41,2,114,42,0,0,0,
- 114,122,0,0,0,41,2,218,7,103,108,111,98,97,108,115,
- 114,169,0,0,0,114,10,0,0,0,114,10,0,0,0,114,
- 11,0,0,0,218,17,95,99,97,108,99,95,95,95,112,97,
- 99,107,97,103,101,95,95,4,4,0,0,115,12,0,0,0,
- 0,7,15,1,12,1,10,1,12,1,19,1,114,196,0,0,
- 0,99,5,0,0,0,0,0,0,0,9,0,0,0,5,0,
- 0,0,67,0,0,0,115,227,0,0,0,124,4,0,100,1,
- 0,107,2,0,114,27,0,116,0,0,124,0,0,131,1,0,
- 125,5,0,110,54,0,124,1,0,100,2,0,107,9,0,114,
- 45,0,124,1,0,110,3,0,105,0,0,125,6,0,116,1,
- 0,124,6,0,131,1,0,125,7,0,116,0,0,124,0,0,
- 124,7,0,124,4,0,131,3,0,125,5,0,124,3,0,115,
- 207,0,124,4,0,100,1,0,107,2,0,114,122,0,116,0,
- 0,124,0,0,106,2,0,100,3,0,131,1,0,100,1,0,
- 25,131,1,0,83,124,0,0,115,132,0,124,5,0,83,116,
- 3,0,124,0,0,131,1,0,116,3,0,124,0,0,106,2,
- 0,100,3,0,131,1,0,100,1,0,25,131,1,0,24,125,
- 8,0,116,4,0,106,5,0,124,5,0,106,6,0,100,2,
- 0,116,3,0,124,5,0,106,6,0,131,1,0,124,8,0,
- 24,133,2,0,25,25,83,110,16,0,116,7,0,124,5,0,
- 124,3,0,116,0,0,131,3,0,83,100,2,0,83,41,4,
- 97,214,1,0,0,73,109,112,111,114,116,32,97,32,109,111,
- 100,117,108,101,46,10,10,32,32,32,32,84,104,101,32,39,
- 103,108,111,98,97,108,115,39,32,97,114,103,117,109,101,110,
- 116,32,105,115,32,117,115,101,100,32,116,111,32,105,110,102,
- 101,114,32,119,104,101,114,101,32,116,104,101,32,105,109,112,
- 111,114,116,32,105,115,32,111,99,99,117,114,105,110,103,32,
- 102,114,111,109,10,32,32,32,32,116,111,32,104,97,110,100,
- 108,101,32,114,101,108,97,116,105,118,101,32,105,109,112,111,
- 114,116,115,46,32,84,104,101,32,39,108,111,99,97,108,115,
- 39,32,97,114,103,117,109,101,110,116,32,105,115,32,105,103,
- 110,111,114,101,100,46,32,84,104,101,10,32,32,32,32,39,
- 102,114,111,109,108,105,115,116,39,32,97,114,103,117,109,101,
- 110,116,32,115,112,101,99,105,102,105,101,115,32,119,104,97,
- 116,32,115,104,111,117,108,100,32,101,120,105,115,116,32,97,
- 115,32,97,116,116,114,105,98,117,116,101,115,32,111,110,32,
- 116,104,101,32,109,111,100,117,108,101,10,32,32,32,32,98,
- 101,105,110,103,32,105,109,112,111,114,116,101,100,32,40,101,
- 46,103,46,32,96,96,102,114,111,109,32,109,111,100,117,108,
- 101,32,105,109,112,111,114,116,32,60,102,114,111,109,108,105,
- 115,116,62,96,96,41,46,32,32,84,104,101,32,39,108,101,
- 118,101,108,39,10,32,32,32,32,97,114,103,117,109,101,110,
- 116,32,114,101,112,114,101,115,101,110,116,115,32,116,104,101,
- 32,112,97,99,107,97,103,101,32,108,111,99,97,116,105,111,
- 110,32,116,111,32,105,109,112,111,114,116,32,102,114,111,109,
- 32,105,110,32,97,32,114,101,108,97,116,105,118,101,10,32,
- 32,32,32,105,109,112,111,114,116,32,40,101,46,103,46,32,
- 96,96,102,114,111,109,32,46,46,112,107,103,32,105,109,112,
- 111,114,116,32,109,111,100,96,96,32,119,111,117,108,100,32,
- 104,97,118,101,32,97,32,39,108,101,118,101,108,39,32,111,
- 102,32,50,41,46,10,10,32,32,32,32,114,33,0,0,0,
- 78,114,121,0,0,0,41,8,114,186,0,0,0,114,196,0,
- 0,0,218,9,112,97,114,116,105,116,105,111,110,114,167,0,
- 0,0,114,14,0,0,0,114,21,0,0,0,114,1,0,0,
- 0,114,194,0,0,0,41,9,114,15,0,0,0,114,195,0,
- 0,0,218,6,108,111,99,97,108,115,114,192,0,0,0,114,
- 170,0,0,0,114,89,0,0,0,90,8,103,108,111,98,97,
- 108,115,95,114,169,0,0,0,90,7,99,117,116,95,111,102,
- 102,114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,
- 218,10,95,95,105,109,112,111,114,116,95,95,19,4,0,0,
- 115,26,0,0,0,0,11,12,1,15,2,24,1,12,1,18,
- 1,6,3,12,1,23,1,6,1,4,4,35,3,40,2,114,
- 199,0,0,0,99,1,0,0,0,0,0,0,0,2,0,0,
- 0,3,0,0,0,67,0,0,0,115,53,0,0,0,116,0,
- 0,106,1,0,124,0,0,131,1,0,125,1,0,124,1,0,
- 100,0,0,107,8,0,114,43,0,116,2,0,100,1,0,124,
- 0,0,23,131,1,0,130,1,0,116,3,0,124,1,0,131,
- 1,0,83,41,2,78,122,25,110,111,32,98,117,105,108,116,
- 45,105,110,32,109,111,100,117,108,101,32,110,97,109,101,100,
- 32,41,4,114,150,0,0,0,114,154,0,0,0,114,77,0,
- 0,0,114,149,0,0,0,41,2,114,15,0,0,0,114,88,
- 0,0,0,114,10,0,0,0,114,10,0,0,0,114,11,0,
- 0,0,218,18,95,98,117,105,108,116,105,110,95,102,114,111,
- 109,95,110,97,109,101,54,4,0,0,115,8,0,0,0,0,
- 1,15,1,12,1,16,1,114,200,0,0,0,99,2,0,0,
- 0,0,0,0,0,12,0,0,0,12,0,0,0,67,0,0,
- 0,115,74,1,0,0,124,1,0,97,0,0,124,0,0,97,
- 1,0,116,2,0,116,1,0,131,1,0,125,2,0,120,123,
- 0,116,1,0,106,3,0,106,4,0,131,0,0,68,93,106,
- 0,92,2,0,125,3,0,125,4,0,116,5,0,124,4,0,
- 124,2,0,131,2,0,114,40,0,124,3,0,116,1,0,106,
- 6,0,107,6,0,114,91,0,116,7,0,125,5,0,110,27,
- 0,116,0,0,106,8,0,124,3,0,131,1,0,114,40,0,
- 116,9,0,125,5,0,110,3,0,113,40,0,116,10,0,124,
- 4,0,124,5,0,131,2,0,125,6,0,116,11,0,124,6,
- 0,124,4,0,131,2,0,1,113,40,0,87,116,1,0,106,
- 3,0,116,12,0,25,125,7,0,120,73,0,100,5,0,68,
- 93,65,0,125,8,0,124,8,0,116,1,0,106,3,0,107,
- 7,0,114,206,0,116,13,0,124,8,0,131,1,0,125,9,
- 0,110,13,0,116,1,0,106,3,0,124,8,0,25,125,9,
- 0,116,14,0,124,7,0,124,8,0,124,9,0,131,3,0,
- 1,113,170,0,87,121,16,0,116,13,0,100,2,0,131,1,
- 0,125,10,0,87,110,24,0,4,116,15,0,107,10,0,114,
- 25,1,1,1,1,100,3,0,125,10,0,89,110,1,0,88,
- 116,14,0,124,7,0,100,2,0,124,10,0,131,3,0,1,
- 116,13,0,100,4,0,131,1,0,125,11,0,116,14,0,124,
- 7,0,100,4,0,124,11,0,131,3,0,1,100,3,0,83,
- 41,6,122,250,83,101,116,117,112,32,105,109,112,111,114,116,
- 108,105,98,32,98,121,32,105,109,112,111,114,116,105,110,103,
- 32,110,101,101,100,101,100,32,98,117,105,108,116,45,105,110,
- 32,109,111,100,117,108,101,115,32,97,110,100,32,105,110,106,
- 101,99,116,105,110,103,32,116,104,101,109,10,32,32,32,32,
- 105,110,116,111,32,116,104,101,32,103,108,111,98,97,108,32,
- 110,97,109,101,115,112,97,99,101,46,10,10,32,32,32,32,
- 65,115,32,115,121,115,32,105,115,32,110,101,101,100,101,100,
- 32,102,111,114,32,115,121,115,46,109,111,100,117,108,101,115,
- 32,97,99,99,101,115,115,32,97,110,100,32,95,105,109,112,
- 32,105,115,32,110,101,101,100,101,100,32,116,111,32,108,111,
- 97,100,32,98,117,105,108,116,45,105,110,10,32,32,32,32,
- 109,111,100,117,108,101,115,44,32,116,104,111,115,101,32,116,
- 119,111,32,109,111,100,117,108,101,115,32,109,117,115,116,32,
- 98,101,32,101,120,112,108,105,99,105,116,108,121,32,112,97,
- 115,115,101,100,32,105,110,46,10,10,32,32,32,32,114,141,
- 0,0,0,114,34,0,0,0,78,114,62,0,0,0,41,1,
- 122,9,95,119,97,114,110,105,110,103,115,41,16,114,57,0,
- 0,0,114,14,0,0,0,114,13,0,0,0,114,21,0,0,
- 0,218,5,105,116,101,109,115,114,177,0,0,0,114,76,0,
- 0,0,114,150,0,0,0,114,82,0,0,0,114,160,0,0,
- 0,114,132,0,0,0,114,137,0,0,0,114,1,0,0,0,
- 114,200,0,0,0,114,5,0,0,0,114,77,0,0,0,41,
- 12,218,10,115,121,115,95,109,111,100,117,108,101,218,11,95,
- 105,109,112,95,109,111,100,117,108,101,90,11,109,111,100,117,
- 108,101,95,116,121,112,101,114,15,0,0,0,114,89,0,0,
- 0,114,99,0,0,0,114,88,0,0,0,90,11,115,101,108,
- 102,95,109,111,100,117,108,101,90,12,98,117,105,108,116,105,
- 110,95,110,97,109,101,90,14,98,117,105,108,116,105,110,95,
- 109,111,100,117,108,101,90,13,116,104,114,101,97,100,95,109,
- 111,100,117,108,101,90,14,119,101,97,107,114,101,102,95,109,
- 111,100,117,108,101,114,10,0,0,0,114,10,0,0,0,114,
- 11,0,0,0,218,6,95,115,101,116,117,112,61,4,0,0,
- 115,50,0,0,0,0,9,6,1,6,3,12,1,28,1,15,
- 1,15,1,9,1,15,1,9,2,3,1,15,1,17,3,13,
- 1,13,1,15,1,15,2,13,1,20,3,3,1,16,1,13,
- 2,11,1,16,3,12,1,114,204,0,0,0,99,2,0,0,
- 0,0,0,0,0,3,0,0,0,3,0,0,0,67,0,0,
- 0,115,87,0,0,0,116,0,0,124,0,0,124,1,0,131,
- 2,0,1,116,1,0,106,2,0,106,3,0,116,4,0,131,
- 1,0,1,116,1,0,106,2,0,106,3,0,116,5,0,131,
- 1,0,1,100,1,0,100,2,0,108,6,0,125,2,0,124,
- 2,0,97,7,0,124,2,0,106,8,0,116,1,0,106,9,
- 0,116,10,0,25,131,1,0,1,100,2,0,83,41,3,122,
- 50,73,110,115,116,97,108,108,32,105,109,112,111,114,116,108,
- 105,98,32,97,115,32,116,104,101,32,105,109,112,108,101,109,
- 101,110,116,97,116,105,111,110,32,111,102,32,105,109,112,111,
- 114,116,46,114,33,0,0,0,78,41,11,114,204,0,0,0,
- 114,14,0,0,0,114,174,0,0,0,114,113,0,0,0,114,
- 150,0,0,0,114,160,0,0,0,218,26,95,102,114,111,122,
- 101,110,95,105,109,112,111,114,116,108,105,98,95,101,120,116,
- 101,114,110,97,108,114,119,0,0,0,218,8,95,105,110,115,
- 116,97,108,108,114,21,0,0,0,114,1,0,0,0,41,3,
- 114,202,0,0,0,114,203,0,0,0,114,205,0,0,0,114,
- 10,0,0,0,114,10,0,0,0,114,11,0,0,0,114,206,
- 0,0,0,108,4,0,0,115,12,0,0,0,0,2,13,2,
- 16,1,16,3,12,1,6,1,114,206,0,0,0,41,51,114,
- 3,0,0,0,114,119,0,0,0,114,12,0,0,0,114,16,
- 0,0,0,114,17,0,0,0,114,59,0,0,0,114,41,0,
- 0,0,114,48,0,0,0,114,31,0,0,0,114,32,0,0,
- 0,114,53,0,0,0,114,54,0,0,0,114,56,0,0,0,
- 114,63,0,0,0,114,65,0,0,0,114,75,0,0,0,114,
- 81,0,0,0,114,84,0,0,0,114,90,0,0,0,114,101,
- 0,0,0,114,102,0,0,0,114,106,0,0,0,114,85,0,
- 0,0,218,6,111,98,106,101,99,116,90,9,95,80,79,80,
- 85,76,65,84,69,114,132,0,0,0,114,137,0,0,0,114,
- 144,0,0,0,114,97,0,0,0,114,86,0,0,0,114,148,
- 0,0,0,114,149,0,0,0,114,87,0,0,0,114,150,0,
- 0,0,114,160,0,0,0,114,165,0,0,0,114,171,0,0,
- 0,114,173,0,0,0,114,176,0,0,0,114,181,0,0,0,
- 114,191,0,0,0,114,182,0,0,0,114,184,0,0,0,114,
- 185,0,0,0,114,186,0,0,0,114,194,0,0,0,114,196,
- 0,0,0,114,199,0,0,0,114,200,0,0,0,114,204,0,
- 0,0,114,206,0,0,0,114,10,0,0,0,114,10,0,0,
- 0,114,10,0,0,0,114,11,0,0,0,218,8,60,109,111,
- 100,117,108,101,62,8,0,0,0,115,96,0,0,0,6,17,
- 6,2,12,8,12,4,19,20,6,2,6,3,22,4,19,68,
- 19,21,19,19,12,19,12,19,12,11,18,8,12,11,12,12,
- 12,16,12,36,19,27,19,101,24,26,9,3,18,45,18,60,
- 12,18,12,17,12,25,12,29,12,23,12,16,19,73,19,77,
- 19,13,12,9,12,9,15,40,12,17,6,1,10,2,12,27,
- 12,6,18,24,12,32,12,15,24,35,12,7,12,47,
+ 0,107,9,0,114,34,0,124,1,0,106,1,0,83,124,0,
+ 0,106,0,0,100,3,0,131,1,0,125,2,0,124,2,0,
+ 100,2,0,107,8,0,114,124,0,116,2,0,106,3,0,100,
+ 4,0,116,4,0,100,5,0,100,6,0,131,2,1,1,124,
+ 0,0,100,7,0,25,125,2,0,100,8,0,124,0,0,107,
+ 7,0,114,124,0,124,2,0,106,5,0,100,9,0,131,1,
+ 0,100,10,0,25,125,2,0,124,2,0,83,41,11,122,167,
+ 67,97,108,99,117,108,97,116,101,32,119,104,97,116,32,95,
+ 95,112,97,99,107,97,103,101,95,95,32,115,104,111,117,108,
+ 100,32,98,101,46,10,10,32,32,32,32,95,95,112,97,99,
+ 107,97,103,101,95,95,32,105,115,32,110,111,116,32,103,117,
+ 97,114,97,110,116,101,101,100,32,116,111,32,98,101,32,100,
+ 101,102,105,110,101,100,32,111,114,32,99,111,117,108,100,32,
+ 98,101,32,115,101,116,32,116,111,32,78,111,110,101,10,32,
+ 32,32,32,116,111,32,114,101,112,114,101,115,101,110,116,32,
+ 116,104,97,116,32,105,116,115,32,112,114,111,112,101,114,32,
+ 118,97,108,117,101,32,105,115,32,117,110,107,110,111,119,110,
+ 46,10,10,32,32,32,32,114,95,0,0,0,78,114,134,0,
+ 0,0,122,89,99,97,110,39,116,32,114,101,115,111,108,118,
+ 101,32,112,97,99,107,97,103,101,32,102,114,111,109,32,95,
+ 95,115,112,101,99,95,95,32,111,114,32,95,95,112,97,99,
+ 107,97,103,101,95,95,44,32,102,97,108,108,105,110,103,32,
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};
generated by cgit v0.12 at 2024-12-04 08:06:11 (GMT)