Issue #25791: Raise an ImportWarning when __spec__ or __package__ are

not defined for a relative import.

This is the start of work to try and clean up import semantics to rely
more on a module's spec than on the myriad attributes that get set on
a module. Thanks to Rose Ames for the patch.
This commit is contained in:
Brett Cannon 2016-01-15 13:33:03 -08:00
parent 43cfd8240c
commit 63b8505281
7 changed files with 381 additions and 315 deletions

View File

@ -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__

View File

@ -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
--------------------

View File

@ -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]

View File

@ -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

View File

@ -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

View File

@ -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");
}
Py_INCREF(package);
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);
package = _PyDict_GetItemId(globals, &PyId___package__);
if (package != NULL && package != Py_None) {
Py_INCREF(package);
Py_DECREF(partition);
if (!PyUnicode_Check(package)) {
PyErr_SetString(PyExc_TypeError, "package must be a string");
goto error;
}
}
else {
if (PyErr_WarnEx(PyExc_ImportWarning,
"can't resolve package from __spec__ or __package__, "
"falling back on __name__ and __path__", 1) < 0) {
goto error;
}
package = _PyDict_GetItemId(globals, &PyId___name__);
if (package == NULL) {
PyErr_SetString(PyExc_KeyError, "'__name__' not in globals");
goto error;
}
Py_INCREF(package);
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);
}
}
}

View File

@ -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,
98,97,99,107,32,111,110,32,95,95,110,97,109,101,95,95,
32,97,110,100,32,95,95,112,97,116,104,95,95,114,140,0,
0,0,233,3,0,0,0,114,1,0,0,0,114,131,0,0,
0,114,121,0,0,0,114,33,0,0,0,41,6,114,42,0,
0,0,114,123,0,0,0,114,142,0,0,0,114,143,0,0,
0,114,176,0,0,0,114,122,0,0,0,41,3,218,7,103,
108,111,98,97,108,115,114,88,0,0,0,114,170,0,0,0,
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,
95,95,4,4,0,0,115,22,0,0,0,0,7,15,1,12,
1,7,1,15,1,12,1,9,2,13,1,10,1,12,1,19,
1,114,198,0,0,0,99,5,0,0,0,0,0,0,0,9,
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,
114,33,0,0,0,78,114,121,0,0,0,41,8,114,187,0,
0,0,114,198,0,0,0,218,9,112,97,114,116,105,116,105,
111,110,114,168,0,0,0,114,14,0,0,0,114,21,0,0,
0,114,1,0,0,0,114,195,0,0,0,41,9,114,15,0,
0,0,114,197,0,0,0,218,6,108,111,99,97,108,115,114,
193,0,0,0,114,171,0,0,0,114,89,0,0,0,90,8,
103,108,111,98,97,108,115,95,114,170,0,0,0,90,7,99,
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,
95,25,4,0,0,115,26,0,0,0,0,11,12,1,15,2,
24,1,12,1,18,1,6,3,12,1,23,1,6,1,4,4,
35,3,40,2,114,201,0,0,0,99,1,0,0,0,0,0,
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,
110,97,109,101,100,32,41,4,114,151,0,0,0,114,155,0,
0,0,114,77,0,0,0,114,150,0,0,0,41,2,114,15,
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,
110,95,102,114,111,109,95,110,97,109,101,60,4,0,0,115,
8,0,0,0,0,1,15,1,12,1,16,1,114,202,0,0,
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,
32,32,32,114,142,0,0,0,114,34,0,0,0,78,114,62,
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,
0,114,21,0,0,0,218,5,105,116,101,109,115,114,178,0,
0,0,114,76,0,0,0,114,151,0,0,0,114,82,0,0,
0,114,161,0,0,0,114,132,0,0,0,114,137,0,0,0,
114,1,0,0,0,114,202,0,0,0,114,5,0,0,0,114,
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,
112,67,4,0,0,115,50,0,0,0,0,9,6,1,6,3,
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,
3,1,16,1,13,2,11,1,16,3,12,1,114,206,0,0,
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,
114,206,0,0,0,114,14,0,0,0,114,175,0,0,0,114,
113,0,0,0,114,151,0,0,0,114,161,0,0,0,218,26,
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,
0,0,0,41,3,114,204,0,0,0,114,205,0,0,0,114,
207,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11,
0,0,0,114,208,0,0,0,114,4,0,0,115,12,0,0,
0,0,2,13,2,16,1,16,3,12,1,6,1,114,208,0,
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,
137,0,0,0,114,145,0,0,0,114,97,0,0,0,114,86,
0,0,0,114,149,0,0,0,114,150,0,0,0,114,87,0,
0,0,114,151,0,0,0,114,161,0,0,0,114,166,0,0,
0,114,172,0,0,0,114,174,0,0,0,114,177,0,0,0,
114,182,0,0,0,114,192,0,0,0,114,183,0,0,0,114,
185,0,0,0,114,186,0,0,0,114,187,0,0,0,114,195,
0,0,0,114,198,0,0,0,114,201,0,0,0,114,202,0,
0,0,114,206,0,0,0,114,208,0,0,0,114,10,0,0,
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,
1,10,2,12,27,12,6,18,24,12,32,12,21,24,35,12,
7,12,47,
};