diff options
| -rw-r--r-- | Doc/reference/datamodel.rst | 41 | ||||
| -rw-r--r-- | Doc/whatsnew/3.6.rst | 10 | ||||
| -rw-r--r-- | Lib/importlib/_bootstrap_external.py | 3 | ||||
| -rw-r--r-- | Lib/test/test_super.py | 127 | ||||
| -rw-r--r-- | Misc/NEWS | 12 | ||||
| -rw-r--r-- | Objects/typeobject.c | 11 | ||||
| -rw-r--r-- | Python/bltinmodule.c | 40 | ||||
| -rw-r--r-- | Python/compile.c | 8 | ||||
| -rw-r--r-- | Python/importlib_external.h | 2354 |
9 files changed, 1395 insertions, 1211 deletions
diff --git a/Doc/reference/datamodel.rst b/Doc/reference/datamodel.rst index 08a1c50..36a9037 100644 --- a/Doc/reference/datamodel.rst +++ b/Doc/reference/datamodel.rst @@ -1700,6 +1700,10 @@ class defining the method. Metaclasses ^^^^^^^^^^^ +.. index:: + single: metaclass + builtin: type + By default, classes are constructed using :func:`type`. The class body is executed in a new namespace and the class name is bound locally to the result of ``type(name, bases, namespace)``. @@ -1730,6 +1734,8 @@ When a class definition is executed, the following steps occur: Determining the appropriate metaclass ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +.. index:: + single: metaclass hint The appropriate metaclass for a class definition is determined as follows: @@ -1751,6 +1757,9 @@ that criterion, then the class definition will fail with ``TypeError``. Preparing the class namespace ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +.. index:: + single: __prepare__ (metaclass method) + Once the appropriate metaclass has been identified, then the class namespace is prepared. If the metaclass has a ``__prepare__`` attribute, it is called as ``namespace = metaclass.__prepare__(name, bases, **kwds)`` (where the @@ -1768,6 +1777,9 @@ is initialised as an empty ordered mapping. Executing the class body ^^^^^^^^^^^^^^^^^^^^^^^^ +.. index:: + single: class; body + The class body is executed (approximately) as ``exec(body, globals(), namespace)``. The key difference from a normal call to :func:`exec` is that lexical scoping allows the class body (including @@ -1777,12 +1789,19 @@ class definition occurs inside a function. However, even when the class definition occurs inside the function, methods defined inside the class still cannot see names defined at the class scope. Class variables must be accessed through the first parameter of instance or -class methods, and cannot be accessed at all from static methods. +class methods, or through the implicit lexically scoped ``__class__`` reference +described in the next section. +.. _class-object-creation: Creating the class object ^^^^^^^^^^^^^^^^^^^^^^^^^ +.. index:: + single: __class__ (method cell) + single: __classcell__ (class namespace entry) + + Once the class namespace has been populated by executing the class body, the class object is created by calling ``metaclass(name, bases, namespace, **kwds)`` (the additional keywords @@ -1796,6 +1815,26 @@ created by the compiler if any methods in a class body refer to either lexical scoping, while the class or instance that was used to make the current call is identified based on the first argument passed to the method. +.. impl-detail:: + + In CPython 3.6 and later, the ``__class__`` cell is passed to the metaclass + as a ``__classcell__`` entry in the class namespace. If present, this must + be propagated up to the ``type.__new__`` call in order for the class to be + initialised correctly. + Failing to do so will result in a :exc:`DeprecationWarning` in Python 3.6, + and a :exc:`RuntimeWarning` in the future. + +When using the default metaclass :class:`type`, or any metaclass that ultimately +calls ``type.__new__``, the following additional customisation steps are +invoked after creating the class object: + +* first, ``type.__new__`` collects all of the descriptors in the class + namespace that define a :meth:`~object.__set_name__` method; +* second, all of these ``__set_name__`` methods are called with the class + being defined and the assigned name of that particular descriptor; and +* finally, the :meth:`~object.__init_subclass__` hook is called on the + immediate parent of the new class in its method resolution order. + After the class object is created, it is passed to the class decorators included in the class definition (if any) and the resulting object is bound in the local namespace as the defined class. diff --git a/Doc/whatsnew/3.6.rst b/Doc/whatsnew/3.6.rst index 5b5884d..040a533 100644 --- a/Doc/whatsnew/3.6.rst +++ b/Doc/whatsnew/3.6.rst @@ -351,6 +351,11 @@ whenever a new subclass is created:: class Plugin2(PluginBase): pass +In order to allow zero-argument :func:`super` calls to work correctly from +:meth:`~object.__init_subclass__` implementations, custom metaclasses must +ensure that the new ``__classcell__`` namespace entry is propagated to +``type.__new__`` (as described in :ref:`class-object-creation`). + .. seealso:: :pep:`487` -- Simpler customization of class creation @@ -2235,6 +2240,11 @@ Changes in the Python API on a ZipFile created with mode ``'r'`` will raise a :exc:`ValueError`. Previously, a :exc:`RuntimeError` was raised in those scenarios. +* when custom metaclasses are combined with zero-argument :func:`super` or + direct references from methods to the implicit ``__class__`` closure + variable, the implicit ``__classcell__`` namespace entry must now be passed + up to ``type.__new__`` for initialisation. Failing to do so will result in + a :exc:`DeprecationWarning` in 3.6 and a :exc:`RuntimeWarning` in the future. Changes in the C API -------------------- diff --git a/Lib/importlib/_bootstrap_external.py b/Lib/importlib/_bootstrap_external.py index 5cb58ab..ab43446 100644 --- a/Lib/importlib/_bootstrap_external.py +++ b/Lib/importlib/_bootstrap_external.py @@ -239,6 +239,7 @@ _code_type = type(_write_atomic.__code__) # Python 3.6b1 3376 (simplify CALL_FUNCTIONs & BUILD_MAP_UNPACK_WITH_CALL) # Python 3.6b1 3377 (set __class__ cell from type.__new__ #23722) # Python 3.6b2 3378 (add BUILD_TUPLE_UNPACK_WITH_CALL #28257) +# Python 3.6rc1 3379 (more thorough __class__ validation #23722) # # MAGIC must change whenever the bytecode emitted by the compiler may no # longer be understood by older implementations of the eval loop (usually @@ -247,7 +248,7 @@ _code_type = type(_write_atomic.__code__) # Whenever MAGIC_NUMBER is changed, the ranges in the magic_values array # in PC/launcher.c must also be updated. -MAGIC_NUMBER = (3378).to_bytes(2, 'little') + b'\r\n' +MAGIC_NUMBER = (3379).to_bytes(2, 'little') + b'\r\n' _RAW_MAGIC_NUMBER = int.from_bytes(MAGIC_NUMBER, 'little') # For import.c _PYCACHE = '__pycache__' diff --git a/Lib/test/test_super.py b/Lib/test/test_super.py index a7ceded..447dec9 100644 --- a/Lib/test/test_super.py +++ b/Lib/test/test_super.py @@ -1,7 +1,9 @@ -"""Unit tests for new super() implementation.""" +"""Unit tests for zero-argument super() & related machinery.""" import sys import unittest +import warnings +from test.support import check_warnings class A: @@ -144,6 +146,8 @@ class TestSuper(unittest.TestCase): self.assertIs(X.f(), X) def test___class___new(self): + # See issue #23722 + # Ensure zero-arg super() works as soon as type.__new__() is completed test_class = None class Meta(type): @@ -161,6 +165,7 @@ class TestSuper(unittest.TestCase): self.assertIs(test_class, A) def test___class___delayed(self): + # See issue #23722 test_namespace = None class Meta(type): @@ -169,10 +174,14 @@ class TestSuper(unittest.TestCase): test_namespace = namespace return None - class A(metaclass=Meta): - @staticmethod - def f(): - return __class__ + # This case shouldn't trigger the __classcell__ deprecation warning + with check_warnings() as w: + warnings.simplefilter("always", DeprecationWarning) + class A(metaclass=Meta): + @staticmethod + def f(): + return __class__ + self.assertEqual(w.warnings, []) self.assertIs(A, None) @@ -180,6 +189,7 @@ class TestSuper(unittest.TestCase): self.assertIs(B.f(), B) def test___class___mro(self): + # See issue #23722 test_class = None class Meta(type): @@ -195,34 +205,105 @@ class TestSuper(unittest.TestCase): self.assertIs(test_class, A) - def test___classcell___deleted(self): + def test___classcell___expected_behaviour(self): + # See issue #23722 class Meta(type): def __new__(cls, name, bases, namespace): - del namespace['__classcell__'] + nonlocal namespace_snapshot + namespace_snapshot = namespace.copy() return super().__new__(cls, name, bases, namespace) - class A(metaclass=Meta): - @staticmethod - def f(): - __class__ - - with self.assertRaises(NameError): - A.f() + # __classcell__ is injected into the class namespace by the compiler + # when at least one method needs it, and should be omitted otherwise + namespace_snapshot = None + class WithoutClassRef(metaclass=Meta): + pass + self.assertNotIn("__classcell__", namespace_snapshot) + + # With zero-arg super() or an explicit __class__ reference, + # __classcell__ is the exact cell reference to be populated by + # type.__new__ + namespace_snapshot = None + class WithClassRef(metaclass=Meta): + def f(self): + return __class__ - def test___classcell___reset(self): + class_cell = namespace_snapshot["__classcell__"] + method_closure = WithClassRef.f.__closure__ + self.assertEqual(len(method_closure), 1) + self.assertIs(class_cell, method_closure[0]) + # Ensure the cell reference *doesn't* get turned into an attribute + with self.assertRaises(AttributeError): + WithClassRef.__classcell__ + + def test___classcell___missing(self): + # See issue #23722 + # Some metaclasses may not pass the original namespace to type.__new__ + # We test that case here by forcibly deleting __classcell__ class Meta(type): def __new__(cls, name, bases, namespace): - namespace['__classcell__'] = 0 + namespace.pop('__classcell__', None) return super().__new__(cls, name, bases, namespace) - class A(metaclass=Meta): - @staticmethod - def f(): - __class__ + # The default case should continue to work without any warnings + with check_warnings() as w: + warnings.simplefilter("always", DeprecationWarning) + class WithoutClassRef(metaclass=Meta): + pass + self.assertEqual(w.warnings, []) + + # With zero-arg super() or an explicit __class__ reference, we expect + # __build_class__ to emit a DeprecationWarning complaining that + # __class__ was not set, and asking if __classcell__ was propagated + # to type.__new__. + # In Python 3.7, that warning will become a RuntimeError. + expected_warning = ( + '__class__ not set.*__classcell__ propagated', + DeprecationWarning + ) + with check_warnings(expected_warning): + warnings.simplefilter("always", DeprecationWarning) + class WithClassRef(metaclass=Meta): + def f(self): + return __class__ + # Check __class__ still gets set despite the warning + self.assertIs(WithClassRef().f(), WithClassRef) + + # Check the warning is turned into an error as expected + with warnings.catch_warnings(): + warnings.simplefilter("error", DeprecationWarning) + with self.assertRaises(DeprecationWarning): + class WithClassRef(metaclass=Meta): + def f(self): + return __class__ + + def test___classcell___overwrite(self): + # See issue #23722 + # Overwriting __classcell__ with nonsense is explicitly prohibited + class Meta(type): + def __new__(cls, name, bases, namespace, cell): + namespace['__classcell__'] = cell + return super().__new__(cls, name, bases, namespace) + + for bad_cell in (None, 0, "", object()): + with self.subTest(bad_cell=bad_cell): + with self.assertRaises(TypeError): + class A(metaclass=Meta, cell=bad_cell): + pass - with self.assertRaises(NameError): - A.f() - self.assertEqual(A.__classcell__, 0) + def test___classcell___wrong_cell(self): + # See issue #23722 + # Pointing the cell reference at the wrong class is also prohibited + class Meta(type): + def __new__(cls, name, bases, namespace): + cls = super().__new__(cls, name, bases, namespace) + B = type("B", (), namespace) + return cls + + with self.assertRaises(TypeError): + class A(metaclass=Meta): + def f(self): + return __class__ def test_obscure_super_errors(self): def f(): @@ -10,6 +10,11 @@ What's New in Python 3.6.0 release candidate 1 Core and Builtins ----------------- +- Issue #23722: Rather than silently producing a class that doesn't support + zero-argument ``super()`` in methods, failing to pass the new + ``__classcell__`` namespace entry up to ``type.__new__`` now results in a + ``DeprecationWarning`` and a class that supports zero-argument ``super()``. + - Issue #28797: Modifying the class __dict__ inside the __set_name__ method of a descriptor that is used inside that class no longer prevents calling the __set_name__ method of other descriptors. @@ -31,6 +36,13 @@ Library - Issue #28843: Fix asyncio C Task to handle exceptions __traceback__. +Documentation +------------- + +- Issue #23722: The data model reference and the porting section in the What's + New guide now cover the additional ``__classcell__`` handling needed for + custom metaclasses to fully support PEP 487 and zero-argument ``super()``. + Tools/Demos ----------- diff --git a/Objects/typeobject.c b/Objects/typeobject.c index 04da32b..329261b 100644 --- a/Objects/typeobject.c +++ b/Objects/typeobject.c @@ -2687,9 +2687,16 @@ type_new(PyTypeObject *metatype, PyObject *args, PyObject *kwds) else type->tp_free = PyObject_Del; - /* store type in class' cell */ + /* store type in class' cell if one is supplied */ cell = _PyDict_GetItemId(dict, &PyId___classcell__); - if (cell != NULL && PyCell_Check(cell)) { + if (cell != NULL) { + /* At least one method requires a reference to its defining class */ + if (!PyCell_Check(cell)) { + PyErr_Format(PyExc_TypeError, + "__classcell__ must be a nonlocal cell, not %.200R", + Py_TYPE(cell)); + goto error; + } PyCell_Set(cell, (PyObject *) type); _PyDict_DelItemId(dict, &PyId___classcell__); PyErr_Clear(); diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index a49cb9d..69e5f08 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -54,8 +54,8 @@ _Py_IDENTIFIER(stderr); static PyObject * builtin___build_class__(PyObject *self, PyObject *args, PyObject *kwds) { - PyObject *func, *name, *bases, *mkw, *meta, *winner, *prep, *ns, *none; - PyObject *cls = NULL; + PyObject *func, *name, *bases, *mkw, *meta, *winner, *prep, *ns; + PyObject *cls = NULL, *cell = NULL; Py_ssize_t nargs; int isclass = 0; /* initialize to prevent gcc warning */ @@ -167,14 +167,44 @@ builtin___build_class__(PyObject *self, PyObject *args, PyObject *kwds) Py_DECREF(bases); return NULL; } - none = PyEval_EvalCodeEx(PyFunction_GET_CODE(func), PyFunction_GET_GLOBALS(func), ns, + cell = PyEval_EvalCodeEx(PyFunction_GET_CODE(func), PyFunction_GET_GLOBALS(func), ns, NULL, 0, NULL, 0, NULL, 0, NULL, PyFunction_GET_CLOSURE(func)); - if (none != NULL) { + if (cell != NULL) { PyObject *margs[3] = {name, bases, ns}; cls = _PyObject_FastCallDict(meta, margs, 3, mkw); - Py_DECREF(none); + if (cls != NULL && PyType_Check(cls) && PyCell_Check(cell)) { + PyObject *cell_cls = PyCell_GET(cell); + if (cell_cls != cls) { + /* TODO: In 3.7, DeprecationWarning will become RuntimeError. + * At that point, cell_error won't be needed. + */ + int cell_error; + if (cell_cls == NULL) { + const char *msg = + "__class__ not set defining %.200R as %.200R. " + "Was __classcell__ propagated to type.__new__?"; + cell_error = PyErr_WarnFormat( + PyExc_DeprecationWarning, 1, msg, name, cls); + } else { + const char *msg = + "__class__ set to %.200R defining %.200R as %.200R"; + PyErr_Format(PyExc_TypeError, msg, cell_cls, name, cls); + cell_error = 1; + } + if (cell_error) { + Py_DECREF(cls); + cls = NULL; + goto error; + } else { + /* Fill in the cell, since type.__new__ didn't do it */ + PyCell_Set(cell, cls); + } + } + } } +error: + Py_XDECREF(cell); Py_DECREF(ns); Py_DECREF(meta); Py_XDECREF(mkw); diff --git a/Python/compile.c b/Python/compile.c index a8d7fcd..35151cd 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -1967,8 +1967,9 @@ compiler_class(struct compiler *c, stmt_ty s) compiler_exit_scope(c); return 0; } + /* Return __classcell__ if it is referenced, otherwise return None */ if (c->u->u_ste->ste_needs_class_closure) { - /* store __classcell__ into class namespace */ + /* Store __classcell__ into class namespace & return it */ str = PyUnicode_InternFromString("__class__"); if (str == NULL) { compiler_exit_scope(c); @@ -1983,6 +1984,7 @@ compiler_class(struct compiler *c, stmt_ty s) assert(i == 0); ADDOP_I(c, LOAD_CLOSURE, i); + ADDOP(c, DUP_TOP); str = PyUnicode_InternFromString("__classcell__"); if (!str || !compiler_nameop(c, str, Store)) { Py_XDECREF(str); @@ -1992,9 +1994,11 @@ compiler_class(struct compiler *c, stmt_ty s) Py_DECREF(str); } else { - /* This happens when nobody references the cell. */ + /* No methods referenced __class__, so just return None */ assert(PyDict_Size(c->u->u_cellvars) == 0); + ADDOP_O(c, LOAD_CONST, Py_None, consts); } + ADDOP_IN_SCOPE(c, RETURN_VALUE); /* create the code object */ co = assemble(c, 1); } diff --git a/Python/importlib_external.h b/Python/importlib_external.h index c5ebc60..1b767c5 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -242,7 +242,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,95,97,116,111,109,105,99,106,0,0,0,115,26,0,0, 0,0,5,16,1,6,1,26,1,2,3,14,1,20,1,16, 1,14,1,2,1,14,1,14,1,6,1,114,58,0,0,0, - 105,50,13,0,0,233,2,0,0,0,114,15,0,0,0,115, + 105,51,13,0,0,233,2,0,0,0,114,15,0,0,0,115, 2,0,0,0,13,10,90,11,95,95,112,121,99,97,99,104, 101,95,95,122,4,111,112,116,45,122,3,46,112,121,122,4, 46,112,121,99,78,41,1,218,12,111,112,116,105,109,105,122, @@ -346,7 +346,7 @@ const unsigned char _Py_M__importlib_external[] = { 103,90,15,97,108,109,111,115,116,95,102,105,108,101,110,97, 109,101,114,4,0,0,0,114,4,0,0,0,114,6,0,0, 0,218,17,99,97,99,104,101,95,102,114,111,109,95,115,111, - 117,114,99,101,6,1,0,0,115,48,0,0,0,0,18,8, + 117,114,99,101,7,1,0,0,115,48,0,0,0,0,18,8, 1,6,1,6,1,8,1,4,1,8,1,12,1,10,1,12, 1,16,1,8,1,8,1,8,1,24,1,8,1,12,1,6, 2,8,1,8,1,8,1,8,1,14,1,14,1,114,83,0, @@ -420,7 +420,7 @@ const unsigned char _Py_M__importlib_external[] = { 112,116,95,108,101,118,101,108,90,13,98,97,115,101,95,102, 105,108,101,110,97,109,101,114,4,0,0,0,114,4,0,0, 0,114,6,0,0,0,218,17,115,111,117,114,99,101,95,102, - 114,111,109,95,99,97,99,104,101,51,1,0,0,115,46,0, + 114,111,109,95,99,97,99,104,101,52,1,0,0,115,46,0, 0,0,0,9,12,1,8,1,10,1,12,1,12,1,8,1, 6,1,10,1,10,1,8,1,6,1,10,1,8,1,16,1, 10,1,6,1,8,1,16,1,8,1,6,1,8,1,14,1, @@ -456,7 +456,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,105,111,110,218,11,115,111,117,114,99,101,95,112,97,116, 104,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, 218,15,95,103,101,116,95,115,111,117,114,99,101,102,105,108, - 101,85,1,0,0,115,20,0,0,0,0,7,12,1,4,1, + 101,86,1,0,0,115,20,0,0,0,0,7,12,1,4,1, 16,1,26,1,4,1,2,1,12,1,18,1,18,1,114,95, 0,0,0,99,1,0,0,0,0,0,0,0,1,0,0,0, 11,0,0,0,67,0,0,0,115,72,0,0,0,124,0,106, @@ -469,7 +469,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,83,0,0,0,114,70,0,0,0,114,78,0,0,0,41, 1,218,8,102,105,108,101,110,97,109,101,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,11,95,103,101,116, - 95,99,97,99,104,101,100,104,1,0,0,115,16,0,0,0, + 95,99,97,99,104,101,100,105,1,0,0,115,16,0,0,0, 0,1,14,1,2,1,8,1,14,1,8,1,14,1,4,2, 114,99,0,0,0,99,1,0,0,0,0,0,0,0,2,0, 0,0,11,0,0,0,67,0,0,0,115,52,0,0,0,121, @@ -483,7 +483,7 @@ const unsigned char _Py_M__importlib_external[] = { 128,0,0,0,41,3,114,41,0,0,0,114,43,0,0,0, 114,42,0,0,0,41,2,114,37,0,0,0,114,44,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 218,10,95,99,97,108,99,95,109,111,100,101,116,1,0,0, + 218,10,95,99,97,108,99,95,109,111,100,101,117,1,0,0, 115,12,0,0,0,0,2,2,1,14,1,14,1,10,3,8, 1,114,101,0,0,0,99,1,0,0,0,0,0,0,0,3, 0,0,0,11,0,0,0,3,0,0,0,115,68,0,0,0, @@ -521,7 +521,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,103,115,90,6,107,119,97,114,103,115,41,1,218,6,109, 101,116,104,111,100,114,4,0,0,0,114,6,0,0,0,218, 19,95,99,104,101,99,107,95,110,97,109,101,95,119,114,97, - 112,112,101,114,136,1,0,0,115,12,0,0,0,0,1,8, + 112,112,101,114,137,1,0,0,115,12,0,0,0,0,1,8, 1,8,1,10,1,4,1,18,1,122,40,95,99,104,101,99, 107,95,110,97,109,101,46,60,108,111,99,97,108,115,62,46, 95,99,104,101,99,107,95,110,97,109,101,95,119,114,97,112, @@ -540,7 +540,7 @@ const unsigned char _Py_M__importlib_external[] = { 100,105,99,116,95,95,218,6,117,112,100,97,116,101,41,3, 90,3,110,101,119,90,3,111,108,100,114,55,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,5, - 95,119,114,97,112,147,1,0,0,115,8,0,0,0,0,1, + 95,119,114,97,112,148,1,0,0,115,8,0,0,0,0,1, 10,1,10,1,22,1,122,26,95,99,104,101,99,107,95,110, 97,109,101,46,60,108,111,99,97,108,115,62,46,95,119,114, 97,112,41,1,78,41,3,218,10,95,98,111,111,116,115,116, @@ -548,7 +548,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,111,114,41,3,114,106,0,0,0,114,107,0,0,0,114, 117,0,0,0,114,4,0,0,0,41,1,114,106,0,0,0, 114,6,0,0,0,218,11,95,99,104,101,99,107,95,110,97, - 109,101,128,1,0,0,115,14,0,0,0,0,8,14,7,2, + 109,101,129,1,0,0,115,14,0,0,0,0,8,14,7,2, 1,10,1,14,2,14,5,10,1,114,120,0,0,0,99,2, 0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,67, 0,0,0,115,60,0,0,0,124,0,106,0,124,1,131,1, @@ -576,7 +576,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,114,218,8,112,111,114,116,105,111,110,115,218,3,109,115, 103,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, 218,17,95,102,105,110,100,95,109,111,100,117,108,101,95,115, - 104,105,109,156,1,0,0,115,10,0,0,0,0,10,14,1, + 104,105,109,157,1,0,0,115,10,0,0,0,0,10,14,1, 16,1,4,1,22,1,114,127,0,0,0,99,4,0,0,0, 0,0,0,0,11,0,0,0,22,0,0,0,67,0,0,0, 115,136,1,0,0,105,0,125,4,124,2,100,1,107,9,114, @@ -656,7 +656,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,111,117,114,99,101,95,115,105,122,101,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,25,95,118,97,108, 105,100,97,116,101,95,98,121,116,101,99,111,100,101,95,104, - 101,97,100,101,114,173,1,0,0,115,76,0,0,0,0,11, + 101,97,100,101,114,174,1,0,0,115,76,0,0,0,0,11, 4,1,8,1,10,3,4,1,8,1,8,1,12,1,12,1, 12,1,8,1,12,1,12,1,14,1,12,1,10,1,12,1, 10,1,12,1,10,1,12,1,8,1,10,1,2,1,16,1, @@ -685,7 +685,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,102,0,0,0,114,93,0,0,0,114,94,0, 0,0,218,4,99,111,100,101,114,4,0,0,0,114,4,0, 0,0,114,6,0,0,0,218,17,95,99,111,109,112,105,108, - 101,95,98,121,116,101,99,111,100,101,228,1,0,0,115,16, + 101,95,98,121,116,101,99,111,100,101,229,1,0,0,115,16, 0,0,0,0,2,10,1,10,1,12,1,8,1,12,1,4, 2,10,1,114,145,0,0,0,114,62,0,0,0,99,3,0, 0,0,0,0,0,0,4,0,0,0,3,0,0,0,67,0, @@ -704,7 +704,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,144,0,0,0,114,130,0,0,0,114,138,0,0,0,114, 56,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, 0,0,0,218,17,95,99,111,100,101,95,116,111,95,98,121, - 116,101,99,111,100,101,240,1,0,0,115,10,0,0,0,0, + 116,101,99,111,100,101,241,1,0,0,115,10,0,0,0,0, 3,8,1,14,1,14,1,16,1,114,148,0,0,0,99,1, 0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,67, 0,0,0,115,62,0,0,0,100,1,100,2,108,0,125,1, @@ -731,7 +731,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,110,99,111,100,105,110,103,90,15,110,101,119,108,105,110, 101,95,100,101,99,111,100,101,114,114,4,0,0,0,114,4, 0,0,0,114,6,0,0,0,218,13,100,101,99,111,100,101, - 95,115,111,117,114,99,101,250,1,0,0,115,10,0,0,0, + 95,115,111,117,114,99,101,251,1,0,0,115,10,0,0,0, 0,5,8,1,12,1,10,1,12,1,114,153,0,0,0,41, 2,114,124,0,0,0,218,26,115,117,98,109,111,100,117,108, 101,95,115,101,97,114,99,104,95,108,111,99,97,116,105,111, @@ -793,7 +793,7 @@ const unsigned char _Py_M__importlib_external[] = { 7,100,105,114,110,97,109,101,114,4,0,0,0,114,4,0, 0,0,114,6,0,0,0,218,23,115,112,101,99,95,102,114, 111,109,95,102,105,108,101,95,108,111,99,97,116,105,111,110, - 11,2,0,0,115,62,0,0,0,0,12,8,4,4,1,10, + 12,2,0,0,115,62,0,0,0,0,12,8,4,4,1,10, 2,2,1,14,1,14,1,8,2,10,8,16,1,6,3,8, 1,16,1,14,1,10,1,6,1,6,2,4,3,8,2,10, 1,2,1,14,1,14,1,6,2,4,1,8,2,6,1,12, @@ -829,7 +829,7 @@ const unsigned char _Py_M__importlib_external[] = { 89,95,76,79,67,65,76,95,77,65,67,72,73,78,69,41, 2,218,3,99,108,115,114,5,0,0,0,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,14,95,111,112,101, - 110,95,114,101,103,105,115,116,114,121,91,2,0,0,115,8, + 110,95,114,101,103,105,115,116,114,121,92,2,0,0,115,8, 0,0,0,0,2,2,1,14,1,14,1,122,36,87,105,110, 100,111,119,115,82,101,103,105,115,116,114,121,70,105,110,100, 101,114,46,95,111,112,101,110,95,114,101,103,105,115,116,114, @@ -855,7 +855,7 @@ const unsigned char _Py_M__importlib_external[] = { 121,114,5,0,0,0,90,4,104,107,101,121,218,8,102,105, 108,101,112,97,116,104,114,4,0,0,0,114,4,0,0,0, 114,6,0,0,0,218,16,95,115,101,97,114,99,104,95,114, - 101,103,105,115,116,114,121,98,2,0,0,115,22,0,0,0, + 101,103,105,115,116,114,121,99,2,0,0,115,22,0,0,0, 0,2,6,1,8,2,6,1,6,1,22,1,2,1,12,1, 26,1,14,1,6,1,122,38,87,105,110,100,111,119,115,82, 101,103,105,115,116,114,121,70,105,110,100,101,114,46,95,115, @@ -877,7 +877,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,218,6,116,97,114,103,101,116,114,174,0,0,0, 114,124,0,0,0,114,164,0,0,0,114,162,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,9, - 102,105,110,100,95,115,112,101,99,113,2,0,0,115,26,0, + 102,105,110,100,95,115,112,101,99,114,2,0,0,115,26,0, 0,0,0,2,10,1,8,1,4,1,2,1,12,1,14,1, 6,1,16,1,14,1,6,1,8,1,8,1,122,31,87,105, 110,100,111,119,115,82,101,103,105,115,116,114,121,70,105,110, @@ -896,7 +896,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,124,0,0,0,41,4,114,168,0,0,0,114,123,0, 0,0,114,37,0,0,0,114,162,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,11,102,105,110, - 100,95,109,111,100,117,108,101,129,2,0,0,115,8,0,0, + 100,95,109,111,100,117,108,101,130,2,0,0,115,8,0,0, 0,0,7,12,1,8,1,6,2,122,33,87,105,110,100,111, 119,115,82,101,103,105,115,116,114,121,70,105,110,100,101,114, 46,102,105,110,100,95,109,111,100,117,108,101,41,2,78,78, @@ -906,7 +906,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,116,104,111,100,114,169,0,0,0,114,175,0,0,0,114, 178,0,0,0,114,179,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,166,0, - 0,0,79,2,0,0,115,20,0,0,0,8,2,4,3,4, + 0,0,80,2,0,0,115,20,0,0,0,8,2,4,3,4, 3,4,2,4,2,12,7,12,15,2,1,12,15,2,1,114, 166,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, 0,2,0,0,0,64,0,0,0,115,48,0,0,0,101,0, @@ -941,7 +941,7 @@ const unsigned char _Py_M__importlib_external[] = { 98,0,0,0,90,13,102,105,108,101,110,97,109,101,95,98, 97,115,101,90,9,116,97,105,108,95,110,97,109,101,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,157,0, - 0,0,148,2,0,0,115,8,0,0,0,0,3,18,1,16, + 0,0,149,2,0,0,115,8,0,0,0,0,3,18,1,16, 1,14,1,122,24,95,76,111,97,100,101,114,66,97,115,105, 99,115,46,105,115,95,112,97,99,107,97,103,101,99,2,0, 0,0,0,0,0,0,2,0,0,0,1,0,0,0,67,0, @@ -951,7 +951,7 @@ const unsigned char _Py_M__importlib_external[] = { 99,114,101,97,116,105,111,110,46,78,114,4,0,0,0,41, 2,114,104,0,0,0,114,162,0,0,0,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,13,99,114,101,97, - 116,101,95,109,111,100,117,108,101,156,2,0,0,115,0,0, + 116,101,95,109,111,100,117,108,101,157,2,0,0,115,0,0, 0,0,122,27,95,76,111,97,100,101,114,66,97,115,105,99, 115,46,99,114,101,97,116,101,95,109,111,100,117,108,101,99, 2,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0, @@ -971,7 +971,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,115,0,0,0,41,3,114,104,0,0,0,218,6,109,111, 100,117,108,101,114,144,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,6,0,0,0,218,11,101,120,101,99,95,109, - 111,100,117,108,101,159,2,0,0,115,10,0,0,0,0,2, + 111,100,117,108,101,160,2,0,0,115,10,0,0,0,0,2, 12,1,8,1,6,1,10,1,122,25,95,76,111,97,100,101, 114,66,97,115,105,99,115,46,101,120,101,99,95,109,111,100, 117,108,101,99,2,0,0,0,0,0,0,0,2,0,0,0, @@ -982,14 +982,14 @@ const unsigned char _Py_M__importlib_external[] = { 95,108,111,97,100,95,109,111,100,117,108,101,95,115,104,105, 109,41,2,114,104,0,0,0,114,123,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,11,108,111, - 97,100,95,109,111,100,117,108,101,167,2,0,0,115,2,0, + 97,100,95,109,111,100,117,108,101,168,2,0,0,115,2,0, 0,0,0,2,122,25,95,76,111,97,100,101,114,66,97,115, 105,99,115,46,108,111,97,100,95,109,111,100,117,108,101,78, 41,8,114,109,0,0,0,114,108,0,0,0,114,110,0,0, 0,114,111,0,0,0,114,157,0,0,0,114,183,0,0,0, 114,188,0,0,0,114,190,0,0,0,114,4,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,181, - 0,0,0,143,2,0,0,115,10,0,0,0,8,3,4,2, + 0,0,0,144,2,0,0,115,10,0,0,0,8,3,4,2, 8,8,8,3,8,8,114,181,0,0,0,99,0,0,0,0, 0,0,0,0,0,0,0,0,3,0,0,0,64,0,0,0, 115,74,0,0,0,101,0,90,1,100,0,90,2,100,1,100, @@ -1014,7 +1014,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,32,32,32,78,41,1,218,7,73,79,69,114, 114,111,114,41,2,114,104,0,0,0,114,37,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,10, - 112,97,116,104,95,109,116,105,109,101,174,2,0,0,115,2, + 112,97,116,104,95,109,116,105,109,101,175,2,0,0,115,2, 0,0,0,0,6,122,23,83,111,117,114,99,101,76,111,97, 100,101,114,46,112,97,116,104,95,109,116,105,109,101,99,2, 0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,67, @@ -1049,7 +1049,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,32,32,32,114,130,0,0,0,41,1,114,193, 0,0,0,41,2,114,104,0,0,0,114,37,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,10, - 112,97,116,104,95,115,116,97,116,115,182,2,0,0,115,2, + 112,97,116,104,95,115,116,97,116,115,183,2,0,0,115,2, 0,0,0,0,11,122,23,83,111,117,114,99,101,76,111,97, 100,101,114,46,112,97,116,104,95,115,116,97,116,115,99,4, 0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,67, @@ -1073,7 +1073,7 @@ const unsigned char _Py_M__importlib_external[] = { 94,0,0,0,90,10,99,97,99,104,101,95,112,97,116,104, 114,56,0,0,0,114,4,0,0,0,114,4,0,0,0,114, 6,0,0,0,218,15,95,99,97,99,104,101,95,98,121,116, - 101,99,111,100,101,195,2,0,0,115,2,0,0,0,0,8, + 101,99,111,100,101,196,2,0,0,115,2,0,0,0,0,8, 122,28,83,111,117,114,99,101,76,111,97,100,101,114,46,95, 99,97,99,104,101,95,98,121,116,101,99,111,100,101,99,3, 0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,67, @@ -1090,7 +1090,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,32,32,78,114,4,0,0,0,41,3,114,104, 0,0,0,114,37,0,0,0,114,56,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,195,0,0, - 0,205,2,0,0,115,0,0,0,0,122,21,83,111,117,114, + 0,206,2,0,0,115,0,0,0,0,122,21,83,111,117,114, 99,101,76,111,97,100,101,114,46,115,101,116,95,100,97,116, 97,99,2,0,0,0,0,0,0,0,5,0,0,0,16,0, 0,0,67,0,0,0,115,82,0,0,0,124,0,106,0,124, @@ -1110,7 +1110,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,153,0,0,0,41,5,114,104,0,0,0,114,123,0, 0,0,114,37,0,0,0,114,151,0,0,0,218,3,101,120, 99,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 218,10,103,101,116,95,115,111,117,114,99,101,212,2,0,0, + 218,10,103,101,116,95,115,111,117,114,99,101,213,2,0,0, 115,14,0,0,0,0,2,10,1,2,1,14,1,16,1,4, 1,28,1,122,23,83,111,117,114,99,101,76,111,97,100,101, 114,46,103,101,116,95,115,111,117,114,99,101,114,31,0,0, @@ -1132,7 +1132,7 @@ const unsigned char _Py_M__importlib_external[] = { 112,105,108,101,41,4,114,104,0,0,0,114,56,0,0,0, 114,37,0,0,0,114,200,0,0,0,114,4,0,0,0,114, 4,0,0,0,114,6,0,0,0,218,14,115,111,117,114,99, - 101,95,116,111,95,99,111,100,101,222,2,0,0,115,4,0, + 101,95,116,111,95,99,111,100,101,223,2,0,0,115,4,0, 0,0,0,5,12,1,122,27,83,111,117,114,99,101,76,111, 97,100,101,114,46,115,111,117,114,99,101,95,116,111,95,99, 111,100,101,99,2,0,0,0,0,0,0,0,10,0,0,0, @@ -1189,7 +1189,7 @@ const unsigned char _Py_M__importlib_external[] = { 10,98,121,116,101,115,95,100,97,116,97,114,151,0,0,0, 90,11,99,111,100,101,95,111,98,106,101,99,116,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,184,0,0, - 0,230,2,0,0,115,78,0,0,0,0,7,10,1,4,1, + 0,231,2,0,0,115,78,0,0,0,0,7,10,1,4,1, 2,1,12,1,14,1,10,2,2,1,14,1,14,1,6,2, 12,1,2,1,14,1,14,1,6,2,2,1,4,1,4,1, 12,1,18,1,6,2,8,1,6,1,6,1,2,1,8,1, @@ -1201,7 +1201,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,196,0,0,0,114,195,0,0,0,114,199,0,0,0,114, 203,0,0,0,114,184,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,191,0, - 0,0,172,2,0,0,115,14,0,0,0,8,2,8,8,8, + 0,0,173,2,0,0,115,14,0,0,0,8,2,8,8,8, 13,8,10,8,7,8,10,14,8,114,191,0,0,0,99,0, 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0, 0,0,0,115,80,0,0,0,101,0,90,1,100,0,90,2, @@ -1209,7 +1209,7 @@ const unsigned char _Py_M__importlib_external[] = { 132,0,90,5,100,6,100,7,132,0,90,6,101,7,135,0, 102,1,100,8,100,9,132,8,131,1,90,8,101,7,100,10, 100,11,132,0,131,1,90,9,100,12,100,13,132,0,90,10, - 135,0,90,11,100,14,83,0,41,15,218,10,70,105,108,101, + 135,0,4,0,90,11,83,0,41,14,218,10,70,105,108,101, 76,111,97,100,101,114,122,103,66,97,115,101,32,102,105,108, 101,32,108,111,97,100,101,114,32,99,108,97,115,115,32,119, 104,105,99,104,32,105,109,112,108,101,109,101,110,116,115,32, @@ -1227,7 +1227,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,102,105,110,100,101,114,46,78,41,2,114,102,0,0,0, 114,37,0,0,0,41,3,114,104,0,0,0,114,123,0,0, 0,114,37,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,182,0,0,0,31,3,0,0,115,4, + 114,6,0,0,0,114,182,0,0,0,32,3,0,0,115,4, 0,0,0,0,3,6,1,122,19,70,105,108,101,76,111,97, 100,101,114,46,95,95,105,110,105,116,95,95,99,2,0,0, 0,0,0,0,0,2,0,0,0,2,0,0,0,67,0,0, @@ -1236,7 +1236,7 @@ const unsigned char _Py_M__importlib_external[] = { 78,41,2,218,9,95,95,99,108,97,115,115,95,95,114,115, 0,0,0,41,2,114,104,0,0,0,218,5,111,116,104,101, 114,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 218,6,95,95,101,113,95,95,37,3,0,0,115,4,0,0, + 218,6,95,95,101,113,95,95,38,3,0,0,115,4,0,0, 0,0,1,12,1,122,17,70,105,108,101,76,111,97,100,101, 114,46,95,95,101,113,95,95,99,1,0,0,0,0,0,0, 0,1,0,0,0,3,0,0,0,67,0,0,0,115,20,0, @@ -1244,7 +1244,7 @@ const unsigned char _Py_M__importlib_external[] = { 131,1,65,0,83,0,41,1,78,41,3,218,4,104,97,115, 104,114,102,0,0,0,114,37,0,0,0,41,1,114,104,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,218,8,95,95,104,97,115,104,95,95,41,3,0,0,115, + 0,218,8,95,95,104,97,115,104,95,95,42,3,0,0,115, 2,0,0,0,0,1,122,19,70,105,108,101,76,111,97,100, 101,114,46,95,95,104,97,115,104,95,95,99,2,0,0,0, 0,0,0,0,2,0,0,0,3,0,0,0,3,0,0,0, @@ -1259,7 +1259,7 @@ const unsigned char _Py_M__importlib_external[] = { 5,115,117,112,101,114,114,207,0,0,0,114,190,0,0,0, 41,2,114,104,0,0,0,114,123,0,0,0,41,1,114,208, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,190,0, - 0,0,44,3,0,0,115,2,0,0,0,0,10,122,22,70, + 0,0,45,3,0,0,115,2,0,0,0,0,10,122,22,70, 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, 0,0,1,0,0,0,67,0,0,0,115,6,0,0,0,124, @@ -1269,7 +1269,7 @@ const unsigned char _Py_M__importlib_external[] = { 111,117,110,100,32,98,121,32,116,104,101,32,102,105,110,100, 101,114,46,41,1,114,37,0,0,0,41,2,114,104,0,0, 0,114,123,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,155,0,0,0,56,3,0,0,115,2, + 114,6,0,0,0,114,155,0,0,0,57,3,0,0,115,2, 0,0,0,0,3,122,23,70,105,108,101,76,111,97,100,101, 114,46,103,101,116,95,102,105,108,101,110,97,109,101,99,2, 0,0,0,0,0,0,0,3,0,0,0,9,0,0,0,67, @@ -1281,1156 +1281,1156 @@ const unsigned char _Py_M__importlib_external[] = { 101,115,46,218,1,114,78,41,3,114,52,0,0,0,114,53, 0,0,0,90,4,114,101,97,100,41,3,114,104,0,0,0, 114,37,0,0,0,114,57,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,197,0,0,0,61,3, + 4,0,0,0,114,6,0,0,0,114,197,0,0,0,62,3, 0,0,115,4,0,0,0,0,2,14,1,122,19,70,105,108, 101,76,111,97,100,101,114,46,103,101,116,95,100,97,116,97, - 78,41,12,114,109,0,0,0,114,108,0,0,0,114,110,0, - 0,0,114,111,0,0,0,114,182,0,0,0,114,210,0,0, - 0,114,212,0,0,0,114,120,0,0,0,114,190,0,0,0, - 114,155,0,0,0,114,197,0,0,0,90,13,95,95,99,108, - 97,115,115,99,101,108,108,95,95,114,4,0,0,0,114,4, - 0,0,0,41,1,114,208,0,0,0,114,6,0,0,0,114, - 207,0,0,0,26,3,0,0,115,14,0,0,0,8,3,4, - 2,8,6,8,4,8,3,16,12,12,5,114,207,0,0,0, - 99,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0, - 0,64,0,0,0,115,46,0,0,0,101,0,90,1,100,0, - 90,2,100,1,90,3,100,2,100,3,132,0,90,4,100,4, - 100,5,132,0,90,5,100,6,100,7,156,1,100,8,100,9, - 132,2,90,6,100,10,83,0,41,11,218,16,83,111,117,114, - 99,101,70,105,108,101,76,111,97,100,101,114,122,62,67,111, - 110,99,114,101,116,101,32,105,109,112,108,101,109,101,110,116, - 97,116,105,111,110,32,111,102,32,83,111,117,114,99,101,76, - 111,97,100,101,114,32,117,115,105,110,103,32,116,104,101,32, - 102,105,108,101,32,115,121,115,116,101,109,46,99,2,0,0, - 0,0,0,0,0,3,0,0,0,3,0,0,0,67,0,0, - 0,115,22,0,0,0,116,0,124,1,131,1,125,2,124,2, - 106,1,124,2,106,2,100,1,156,2,83,0,41,2,122,33, - 82,101,116,117,114,110,32,116,104,101,32,109,101,116,97,100, - 97,116,97,32,102,111,114,32,116,104,101,32,112,97,116,104, - 46,41,2,114,130,0,0,0,114,131,0,0,0,41,3,114, - 41,0,0,0,218,8,115,116,95,109,116,105,109,101,90,7, - 115,116,95,115,105,122,101,41,3,114,104,0,0,0,114,37, - 0,0,0,114,205,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,194,0,0,0,71,3,0,0, - 115,4,0,0,0,0,2,8,1,122,27,83,111,117,114,99, - 101,70,105,108,101,76,111,97,100,101,114,46,112,97,116,104, - 95,115,116,97,116,115,99,4,0,0,0,0,0,0,0,5, - 0,0,0,5,0,0,0,67,0,0,0,115,24,0,0,0, - 116,0,124,1,131,1,125,4,124,0,106,1,124,2,124,3, - 124,4,100,1,141,3,83,0,41,2,78,41,1,218,5,95, - 109,111,100,101,41,2,114,101,0,0,0,114,195,0,0,0, - 41,5,114,104,0,0,0,114,94,0,0,0,114,93,0,0, - 0,114,56,0,0,0,114,44,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,196,0,0,0,76, - 3,0,0,115,4,0,0,0,0,2,8,1,122,32,83,111, - 117,114,99,101,70,105,108,101,76,111,97,100,101,114,46,95, - 99,97,99,104,101,95,98,121,116,101,99,111,100,101,105,182, - 1,0,0,41,1,114,217,0,0,0,99,3,0,0,0,1, - 0,0,0,9,0,0,0,17,0,0,0,67,0,0,0,115, - 250,0,0,0,116,0,124,1,131,1,92,2,125,4,125,5, - 103,0,125,6,120,40,124,4,114,56,116,1,124,4,131,1, - 12,0,114,56,116,0,124,4,131,1,92,2,125,4,125,7, - 124,6,106,2,124,7,131,1,1,0,113,18,87,0,120,108, - 116,3,124,6,131,1,68,0,93,96,125,7,116,4,124,4, - 124,7,131,2,125,4,121,14,116,5,106,6,124,4,131,1, - 1,0,87,0,113,68,4,0,116,7,107,10,114,118,1,0, - 1,0,1,0,119,68,89,0,113,68,4,0,116,8,107,10, - 114,162,1,0,125,8,1,0,122,18,116,9,106,10,100,1, - 124,4,124,8,131,3,1,0,100,2,83,0,100,2,125,8, - 126,8,88,0,113,68,88,0,113,68,87,0,121,28,116,11, - 124,1,124,2,124,3,131,3,1,0,116,9,106,10,100,3, - 124,1,131,2,1,0,87,0,110,48,4,0,116,8,107,10, - 114,244,1,0,125,8,1,0,122,20,116,9,106,10,100,1, - 124,1,124,8,131,3,1,0,87,0,89,0,100,2,100,2, - 125,8,126,8,88,0,110,2,88,0,100,2,83,0,41,4, - 122,27,87,114,105,116,101,32,98,121,116,101,115,32,100,97, - 116,97,32,116,111,32,97,32,102,105,108,101,46,122,27,99, - 111,117,108,100,32,110,111,116,32,99,114,101,97,116,101,32, - 123,33,114,125,58,32,123,33,114,125,78,122,12,99,114,101, - 97,116,101,100,32,123,33,114,125,41,12,114,40,0,0,0, - 114,48,0,0,0,114,161,0,0,0,114,35,0,0,0,114, - 30,0,0,0,114,3,0,0,0,90,5,109,107,100,105,114, - 218,15,70,105,108,101,69,120,105,115,116,115,69,114,114,111, - 114,114,42,0,0,0,114,118,0,0,0,114,133,0,0,0, - 114,58,0,0,0,41,9,114,104,0,0,0,114,37,0,0, - 0,114,56,0,0,0,114,217,0,0,0,218,6,112,97,114, - 101,110,116,114,98,0,0,0,114,29,0,0,0,114,25,0, - 0,0,114,198,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,195,0,0,0,81,3,0,0,115, - 42,0,0,0,0,2,12,1,4,2,16,1,12,1,14,2, - 14,1,10,1,2,1,14,1,14,2,6,1,16,3,6,1, - 8,1,20,1,2,1,12,1,16,1,16,2,8,1,122,25, - 83,111,117,114,99,101,70,105,108,101,76,111,97,100,101,114, - 46,115,101,116,95,100,97,116,97,78,41,7,114,109,0,0, - 0,114,108,0,0,0,114,110,0,0,0,114,111,0,0,0, - 114,194,0,0,0,114,196,0,0,0,114,195,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,215,0,0,0,67,3,0,0,115,8,0,0, - 0,8,2,4,2,8,5,8,5,114,215,0,0,0,99,0, - 0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,64, - 0,0,0,115,32,0,0,0,101,0,90,1,100,0,90,2, - 100,1,90,3,100,2,100,3,132,0,90,4,100,4,100,5, - 132,0,90,5,100,6,83,0,41,7,218,20,83,111,117,114, - 99,101,108,101,115,115,70,105,108,101,76,111,97,100,101,114, - 122,45,76,111,97,100,101,114,32,119,104,105,99,104,32,104, - 97,110,100,108,101,115,32,115,111,117,114,99,101,108,101,115, - 115,32,102,105,108,101,32,105,109,112,111,114,116,115,46,99, - 2,0,0,0,0,0,0,0,5,0,0,0,5,0,0,0, - 67,0,0,0,115,48,0,0,0,124,0,106,0,124,1,131, - 1,125,2,124,0,106,1,124,2,131,1,125,3,116,2,124, - 3,124,1,124,2,100,1,141,3,125,4,116,3,124,4,124, - 1,124,2,100,2,141,3,83,0,41,3,78,41,2,114,102, - 0,0,0,114,37,0,0,0,41,2,114,102,0,0,0,114, - 93,0,0,0,41,4,114,155,0,0,0,114,197,0,0,0, - 114,139,0,0,0,114,145,0,0,0,41,5,114,104,0,0, - 0,114,123,0,0,0,114,37,0,0,0,114,56,0,0,0, - 114,206,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,184,0,0,0,116,3,0,0,115,8,0, - 0,0,0,1,10,1,10,1,14,1,122,29,83,111,117,114, - 99,101,108,101,115,115,70,105,108,101,76,111,97,100,101,114, - 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, - 0,0,0,100,1,83,0,41,2,122,39,82,101,116,117,114, - 110,32,78,111,110,101,32,97,115,32,116,104,101,114,101,32, - 105,115,32,110,111,32,115,111,117,114,99,101,32,99,111,100, - 101,46,78,114,4,0,0,0,41,2,114,104,0,0,0,114, - 123,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,199,0,0,0,122,3,0,0,115,2,0,0, - 0,0,2,122,31,83,111,117,114,99,101,108,101,115,115,70, - 105,108,101,76,111,97,100,101,114,46,103,101,116,95,115,111, - 117,114,99,101,78,41,6,114,109,0,0,0,114,108,0,0, - 0,114,110,0,0,0,114,111,0,0,0,114,184,0,0,0, - 114,199,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,220,0,0,0,112,3, - 0,0,115,6,0,0,0,8,2,4,2,8,6,114,220,0, - 0,0,99,0,0,0,0,0,0,0,0,0,0,0,0,3, - 0,0,0,64,0,0,0,115,92,0,0,0,101,0,90,1, - 100,0,90,2,100,1,90,3,100,2,100,3,132,0,90,4, - 100,4,100,5,132,0,90,5,100,6,100,7,132,0,90,6, - 100,8,100,9,132,0,90,7,100,10,100,11,132,0,90,8, - 100,12,100,13,132,0,90,9,100,14,100,15,132,0,90,10, - 100,16,100,17,132,0,90,11,101,12,100,18,100,19,132,0, - 131,1,90,13,100,20,83,0,41,21,218,19,69,120,116,101, - 110,115,105,111,110,70,105,108,101,76,111,97,100,101,114,122, - 93,76,111,97,100,101,114,32,102,111,114,32,101,120,116,101, - 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0,1,0,100,2,83,0,88,0,121,14,116,3,106,4,124, - 1,25,0,125,2,87,0,110,40,4,0,116,5,107,10,114, - 96,1,0,1,0,1,0,124,0,106,6,124,1,131,1,125, - 2,124,2,116,3,106,4,124,1,60,0,89,0,110,2,88, - 0,124,2,83,0,41,3,122,210,71,101,116,32,116,104,101, - 32,102,105,110,100,101,114,32,102,111,114,32,116,104,101,32, - 112,97,116,104,32,101,110,116,114,121,32,102,114,111,109,32, - 115,121,115,46,112,97,116,104,95,105,109,112,111,114,116,101, - 114,95,99,97,99,104,101,46,10,10,32,32,32,32,32,32, - 32,32,73,102,32,116,104,101,32,112,97,116,104,32,101,110, - 116,114,121,32,105,115,32,110,111,116,32,105,110,32,116,104, - 101,32,99,97,99,104,101,44,32,102,105,110,100,32,116,104, - 101,32,97,112,112,114,111,112,114,105,97,116,101,32,102,105, - 110,100,101,114,10,32,32,32,32,32,32,32,32,97,110,100, - 32,99,97,99,104,101,32,105,116,46,32,73,102,32,110,111, - 32,102,105,110,100,101,114,32,105,115,32,97,118,97,105,108, - 97,98,108,101,44,32,115,116,111,114,101,32,78,111,110,101, - 46,10,10,32,32,32,32,32,32,32,32,114,32,0,0,0, - 78,41,7,114,3,0,0,0,114,47,0,0,0,218,17,70, - 105,108,101,78,111,116,70,111,117,110,100,69,114,114,111,114, - 114,8,0,0,0,114,250,0,0,0,114,135,0,0,0,114, - 254,0,0,0,41,3,114,168,0,0,0,114,37,0,0,0, - 114,252,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,218,20,95,112,97,116,104,95,105,109,112,111, - 114,116,101,114,95,99,97,99,104,101,55,4,0,0,115,22, - 0,0,0,0,8,8,1,2,1,12,1,14,3,6,1,2, - 1,14,1,14,1,10,1,16,1,122,31,80,97,116,104,70, - 105,110,100,101,114,46,95,112,97,116,104,95,105,109,112,111, - 114,116,101,114,95,99,97,99,104,101,99,3,0,0,0,0, - 0,0,0,6,0,0,0,3,0,0,0,67,0,0,0,115, - 82,0,0,0,116,0,124,2,100,1,131,2,114,26,124,2, - 106,1,124,1,131,1,92,2,125,3,125,4,110,14,124,2, - 106,2,124,1,131,1,125,3,103,0,125,4,124,3,100,0, - 107,9,114,60,116,3,106,4,124,1,124,3,131,2,83,0, - 116,3,106,5,124,1,100,0,131,2,125,5,124,4,124,5, - 95,6,124,5,83,0,41,2,78,114,121,0,0,0,41,7, - 114,112,0,0,0,114,121,0,0,0,114,179,0,0,0,114, - 118,0,0,0,114,176,0,0,0,114,158,0,0,0,114,154, - 0,0,0,41,6,114,168,0,0,0,114,123,0,0,0,114, - 252,0,0,0,114,124,0,0,0,114,125,0,0,0,114,162, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,16,95,108,101,103,97,99,121,95,103,101,116,95, - 115,112,101,99,77,4,0,0,115,18,0,0,0,0,4,10, - 1,16,2,10,1,4,1,8,1,12,1,12,1,6,1,122, - 27,80,97,116,104,70,105,110,100,101,114,46,95,108,101,103, - 97,99,121,95,103,101,116,95,115,112,101,99,78,99,4,0, - 0,0,0,0,0,0,9,0,0,0,5,0,0,0,67,0, - 0,0,115,170,0,0,0,103,0,125,4,120,160,124,2,68, - 0,93,130,125,5,116,0,124,5,116,1,116,2,102,2,131, - 2,115,30,113,10,124,0,106,3,124,5,131,1,125,6,124, - 6,100,1,107,9,114,10,116,4,124,6,100,2,131,2,114, - 72,124,6,106,5,124,1,124,3,131,2,125,7,110,12,124, - 0,106,6,124,1,124,6,131,2,125,7,124,7,100,1,107, - 8,114,94,113,10,124,7,106,7,100,1,107,9,114,108,124, - 7,83,0,124,7,106,8,125,8,124,8,100,1,107,8,114, - 130,116,9,100,3,131,1,130,1,124,4,106,10,124,8,131, - 1,1,0,113,10,87,0,116,11,106,12,124,1,100,1,131, - 2,125,7,124,4,124,7,95,8,124,7,83,0,100,1,83, - 0,41,4,122,63,70,105,110,100,32,116,104,101,32,108,111, - 97,100,101,114,32,111,114,32,110,97,109,101,115,112,97,99, - 101,95,112,97,116,104,32,102,111,114,32,116,104,105,115,32, - 109,111,100,117,108,101,47,112,97,99,107,97,103,101,32,110, - 97,109,101,46,78,114,178,0,0,0,122,19,115,112,101,99, - 32,109,105,115,115,105,110,103,32,108,111,97,100,101,114,41, - 13,114,141,0,0,0,114,73,0,0,0,218,5,98,121,116, - 101,115,114,0,1,0,0,114,112,0,0,0,114,178,0,0, - 0,114,1,1,0,0,114,124,0,0,0,114,154,0,0,0, - 114,103,0,0,0,114,147,0,0,0,114,118,0,0,0,114, - 158,0,0,0,41,9,114,168,0,0,0,114,123,0,0,0, - 114,37,0,0,0,114,177,0,0,0,218,14,110,97,109,101, - 115,112,97,99,101,95,112,97,116,104,90,5,101,110,116,114, - 121,114,252,0,0,0,114,162,0,0,0,114,125,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 9,95,103,101,116,95,115,112,101,99,92,4,0,0,115,40, - 0,0,0,0,5,4,1,10,1,14,1,2,1,10,1,8, - 1,10,1,14,2,12,1,8,1,2,1,10,1,4,1,6, - 1,8,1,8,5,14,2,12,1,6,1,122,20,80,97,116, - 104,70,105,110,100,101,114,46,95,103,101,116,95,115,112,101, - 99,99,4,0,0,0,0,0,0,0,6,0,0,0,4,0, - 0,0,67,0,0,0,115,100,0,0,0,124,2,100,1,107, - 8,114,14,116,0,106,1,125,2,124,0,106,2,124,1,124, - 2,124,3,131,3,125,4,124,4,100,1,107,8,114,40,100, - 1,83,0,124,4,106,3,100,1,107,8,114,92,124,4,106, - 4,125,5,124,5,114,86,100,2,124,4,95,5,116,6,124, - 1,124,5,124,0,106,2,131,3,124,4,95,4,124,4,83, - 0,100,1,83,0,110,4,124,4,83,0,100,1,83,0,41, - 3,122,141,84,114,121,32,116,111,32,102,105,110,100,32,97, - 32,115,112,101,99,32,102,111,114,32,39,102,117,108,108,110, - 97,109,101,39,32,111,110,32,115,121,115,46,112,97,116,104, - 32,111,114,32,39,112,97,116,104,39,46,10,10,32,32,32, - 32,32,32,32,32,84,104,101,32,115,101,97,114,99,104,32, - 105,115,32,98,97,115,101,100,32,111,110,32,115,121,115,46, - 112,97,116,104,95,104,111,111,107,115,32,97,110,100,32,115, - 121,115,46,112,97,116,104,95,105,109,112,111,114,116,101,114, - 95,99,97,99,104,101,46,10,32,32,32,32,32,32,32,32, - 78,90,9,110,97,109,101,115,112,97,99,101,41,7,114,8, - 0,0,0,114,37,0,0,0,114,4,1,0,0,114,124,0, - 0,0,114,154,0,0,0,114,156,0,0,0,114,227,0,0, - 0,41,6,114,168,0,0,0,114,123,0,0,0,114,37,0, - 0,0,114,177,0,0,0,114,162,0,0,0,114,3,1,0, - 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 114,178,0,0,0,124,4,0,0,115,26,0,0,0,0,6, - 8,1,6,1,14,1,8,1,4,1,10,1,6,1,4,3, - 6,1,16,1,4,2,6,2,122,20,80,97,116,104,70,105, - 110,100,101,114,46,102,105,110,100,95,115,112,101,99,99,3, - 0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,67, - 0,0,0,115,30,0,0,0,124,0,106,0,124,1,124,2, - 131,2,125,3,124,3,100,1,107,8,114,24,100,1,83,0, - 124,3,106,1,83,0,41,2,122,170,102,105,110,100,32,116, - 104,101,32,109,111,100,117,108,101,32,111,110,32,115,121,115, - 46,112,97,116,104,32,111,114,32,39,112,97,116,104,39,32, - 98,97,115,101,100,32,111,110,32,115,121,115,46,112,97,116, - 104,95,104,111,111,107,115,32,97,110,100,10,32,32,32,32, - 32,32,32,32,115,121,115,46,112,97,116,104,95,105,109,112, - 111,114,116,101,114,95,99,97,99,104,101,46,10,10,32,32, - 32,32,32,32,32,32,84,104,105,115,32,109,101,116,104,111, - 100,32,105,115,32,100,101,112,114,101,99,97,116,101,100,46, - 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, - 32,32,32,32,78,41,2,114,178,0,0,0,114,124,0,0, - 0,41,4,114,168,0,0,0,114,123,0,0,0,114,37,0, - 0,0,114,162,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,179,0,0,0,148,4,0,0,115, - 8,0,0,0,0,8,12,1,8,1,4,1,122,22,80,97, - 116,104,70,105,110,100,101,114,46,102,105,110,100,95,109,111, - 100,117,108,101,41,1,78,41,2,78,78,41,1,78,41,12, - 114,109,0,0,0,114,108,0,0,0,114,110,0,0,0,114, - 111,0,0,0,114,180,0,0,0,114,249,0,0,0,114,254, - 0,0,0,114,0,1,0,0,114,1,1,0,0,114,4,1, - 0,0,114,178,0,0,0,114,179,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 114,248,0,0,0,30,4,0,0,115,22,0,0,0,8,2, - 4,2,12,8,12,13,12,22,12,15,2,1,12,31,2,1, - 12,23,2,1,114,248,0,0,0,99,0,0,0,0,0,0, - 0,0,0,0,0,0,3,0,0,0,64,0,0,0,115,90, - 0,0,0,101,0,90,1,100,0,90,2,100,1,90,3,100, - 2,100,3,132,0,90,4,100,4,100,5,132,0,90,5,101, - 6,90,7,100,6,100,7,132,0,90,8,100,8,100,9,132, - 0,90,9,100,19,100,11,100,12,132,1,90,10,100,13,100, - 14,132,0,90,11,101,12,100,15,100,16,132,0,131,1,90, - 13,100,17,100,18,132,0,90,14,100,10,83,0,41,20,218, - 10,70,105,108,101,70,105,110,100,101,114,122,172,70,105,108, - 101,45,98,97,115,101,100,32,102,105,110,100,101,114,46,10, - 10,32,32,32,32,73,110,116,101,114,97,99,116,105,111,110, - 115,32,119,105,116,104,32,116,104,101,32,102,105,108,101,32, - 115,121,115,116,101,109,32,97,114,101,32,99,97,99,104,101, - 100,32,102,111,114,32,112,101,114,102,111,114,109,97,110,99, - 101,44,32,98,101,105,110,103,10,32,32,32,32,114,101,102, - 114,101,115,104,101,100,32,119,104,101,110,32,116,104,101,32, - 100,105,114,101,99,116,111,114,121,32,116,104,101,32,102,105, - 110,100,101,114,32,105,115,32,104,97,110,100,108,105,110,103, - 32,104,97,115,32,98,101,101,110,32,109,111,100,105,102,105, - 101,100,46,10,10,32,32,32,32,99,2,0,0,0,0,0, - 0,0,5,0,0,0,5,0,0,0,7,0,0,0,115,88, - 0,0,0,103,0,125,3,120,40,124,2,68,0,93,32,92, - 2,137,0,125,4,124,3,106,0,135,0,102,1,100,1,100, - 2,132,8,124,4,68,0,131,1,131,1,1,0,113,10,87, - 0,124,3,124,0,95,1,124,1,112,58,100,3,124,0,95, - 2,100,6,124,0,95,3,116,4,131,0,124,0,95,5,116, - 4,131,0,124,0,95,6,100,5,83,0,41,7,122,154,73, - 110,105,116,105,97,108,105,122,101,32,119,105,116,104,32,116, - 104,101,32,112,97,116,104,32,116,111,32,115,101,97,114,99, - 104,32,111,110,32,97,110,100,32,97,32,118,97,114,105,97, - 98,108,101,32,110,117,109,98,101,114,32,111,102,10,32,32, - 32,32,32,32,32,32,50,45,116,117,112,108,101,115,32,99, - 111,110,116,97,105,110,105,110,103,32,116,104,101,32,108,111, - 97,100,101,114,32,97,110,100,32,116,104,101,32,102,105,108, - 101,32,115,117,102,102,105,120,101,115,32,116,104,101,32,108, - 111,97,100,101,114,10,32,32,32,32,32,32,32,32,114,101, - 99,111,103,110,105,122,101,115,46,99,1,0,0,0,0,0, - 0,0,2,0,0,0,3,0,0,0,51,0,0,0,115,22, - 0,0,0,124,0,93,14,125,1,124,1,136,0,102,2,86, - 0,1,0,113,2,100,0,83,0,41,1,78,114,4,0,0, - 0,41,2,114,24,0,0,0,114,222,0,0,0,41,1,114, - 124,0,0,0,114,4,0,0,0,114,6,0,0,0,114,224, - 0,0,0,177,4,0,0,115,2,0,0,0,4,0,122,38, - 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, - 110,101,120,112,114,62,114,61,0,0,0,114,31,0,0,0, - 78,114,91,0,0,0,41,7,114,147,0,0,0,218,8,95, - 108,111,97,100,101,114,115,114,37,0,0,0,218,11,95,112, - 97,116,104,95,109,116,105,109,101,218,3,115,101,116,218,11, - 95,112,97,116,104,95,99,97,99,104,101,218,19,95,114,101, - 108,97,120,101,100,95,112,97,116,104,95,99,97,99,104,101, - 41,5,114,104,0,0,0,114,37,0,0,0,218,14,108,111, - 97,100,101,114,95,100,101,116,97,105,108,115,90,7,108,111, - 97,100,101,114,115,114,164,0,0,0,114,4,0,0,0,41, - 1,114,124,0,0,0,114,6,0,0,0,114,182,0,0,0, - 171,4,0,0,115,16,0,0,0,0,4,4,1,14,1,28, - 1,6,2,10,1,6,1,8,1,122,19,70,105,108,101,70, - 105,110,100,101,114,46,95,95,105,110,105,116,95,95,99,1, - 0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,67, - 0,0,0,115,10,0,0,0,100,3,124,0,95,0,100,2, - 83,0,41,4,122,31,73,110,118,97,108,105,100,97,116,101, - 32,116,104,101,32,100,105,114,101,99,116,111,114,121,32,109, - 116,105,109,101,46,114,31,0,0,0,78,114,91,0,0,0, - 41,1,114,7,1,0,0,41,1,114,104,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,249,0, - 0,0,185,4,0,0,115,2,0,0,0,0,2,122,28,70, - 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, - 0,0,0,0,3,0,0,0,2,0,0,0,67,0,0,0, - 115,42,0,0,0,124,0,106,0,124,1,131,1,125,2,124, - 2,100,1,107,8,114,26,100,1,103,0,102,2,83,0,124, - 2,106,1,124,2,106,2,112,38,103,0,102,2,83,0,41, - 2,122,197,84,114,121,32,116,111,32,102,105,110,100,32,97, - 32,108,111,97,100,101,114,32,102,111,114,32,116,104,101,32, - 115,112,101,99,105,102,105,101,100,32,109,111,100,117,108,101, - 44,32,111,114,32,116,104,101,32,110,97,109,101,115,112,97, - 99,101,10,32,32,32,32,32,32,32,32,112,97,99,107,97, - 103,101,32,112,111,114,116,105,111,110,115,46,32,82,101,116, - 117,114,110,115,32,40,108,111,97,100,101,114,44,32,108,105, - 115,116,45,111,102,45,112,111,114,116,105,111,110,115,41,46, - 10,10,32,32,32,32,32,32,32,32,84,104,105,115,32,109, - 101,116,104,111,100,32,105,115,32,100,101,112,114,101,99,97, - 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, - 32,32,32,32,32,32,32,32,78,41,3,114,178,0,0,0, - 114,124,0,0,0,114,154,0,0,0,41,3,114,104,0,0, - 0,114,123,0,0,0,114,162,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,121,0,0,0,191, - 4,0,0,115,8,0,0,0,0,7,10,1,8,1,8,1, - 122,22,70,105,108,101,70,105,110,100,101,114,46,102,105,110, - 100,95,108,111,97,100,101,114,99,6,0,0,0,0,0,0, - 0,7,0,0,0,6,0,0,0,67,0,0,0,115,26,0, - 0,0,124,1,124,2,124,3,131,2,125,6,116,0,124,2, - 124,3,124,6,124,4,100,1,141,4,83,0,41,2,78,41, - 2,114,124,0,0,0,114,154,0,0,0,41,1,114,165,0, - 0,0,41,7,114,104,0,0,0,114,163,0,0,0,114,123, - 0,0,0,114,37,0,0,0,90,4,115,109,115,108,114,177, - 0,0,0,114,124,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,4,1,0,0,203,4,0,0, - 115,6,0,0,0,0,1,10,1,8,1,122,20,70,105,108, - 101,70,105,110,100,101,114,46,95,103,101,116,95,115,112,101, - 99,78,99,3,0,0,0,0,0,0,0,14,0,0,0,15, - 0,0,0,67,0,0,0,115,98,1,0,0,100,1,125,3, - 124,1,106,0,100,2,131,1,100,3,25,0,125,4,121,24, - 116,1,124,0,106,2,112,34,116,3,106,4,131,0,131,1, - 106,5,125,5,87,0,110,24,4,0,116,6,107,10,114,66, - 1,0,1,0,1,0,100,10,125,5,89,0,110,2,88,0, - 124,5,124,0,106,7,107,3,114,92,124,0,106,8,131,0, - 1,0,124,5,124,0,95,7,116,9,131,0,114,114,124,0, - 106,10,125,6,124,4,106,11,131,0,125,7,110,10,124,0, - 106,12,125,6,124,4,125,7,124,7,124,6,107,6,114,218, - 116,13,124,0,106,2,124,4,131,2,125,8,120,72,124,0, - 106,14,68,0,93,54,92,2,125,9,125,10,100,5,124,9, - 23,0,125,11,116,13,124,8,124,11,131,2,125,12,116,15, - 124,12,131,1,114,152,124,0,106,16,124,10,124,1,124,12, - 124,8,103,1,124,2,131,5,83,0,113,152,87,0,116,17, - 124,8,131,1,125,3,120,88,124,0,106,14,68,0,93,78, - 92,2,125,9,125,10,116,13,124,0,106,2,124,4,124,9, - 23,0,131,2,125,12,116,18,106,19,100,6,124,12,100,3, - 100,7,141,3,1,0,124,7,124,9,23,0,124,6,107,6, - 114,226,116,15,124,12,131,1,114,226,124,0,106,16,124,10, - 124,1,124,12,100,8,124,2,131,5,83,0,113,226,87,0, - 124,3,144,1,114,94,116,18,106,19,100,9,124,8,131,2, - 1,0,116,18,106,20,124,1,100,8,131,2,125,13,124,8, - 103,1,124,13,95,21,124,13,83,0,100,8,83,0,41,11, - 122,111,84,114,121,32,116,111,32,102,105,110,100,32,97,32, - 115,112,101,99,32,102,111,114,32,116,104,101,32,115,112,101, - 99,105,102,105,101,100,32,109,111,100,117,108,101,46,10,10, - 32,32,32,32,32,32,32,32,82,101,116,117,114,110,115,32, - 116,104,101,32,109,97,116,99,104,105,110,103,32,115,112,101, - 99,44,32,111,114,32,78,111,110,101,32,105,102,32,110,111, - 116,32,102,111,117,110,100,46,10,32,32,32,32,32,32,32, - 32,70,114,61,0,0,0,114,59,0,0,0,114,31,0,0, - 0,114,182,0,0,0,122,9,116,114,121,105,110,103,32,123, - 125,41,1,90,9,118,101,114,98,111,115,105,116,121,78,122, - 25,112,111,115,115,105,98,108,101,32,110,97,109,101,115,112, - 97,99,101,32,102,111,114,32,123,125,114,91,0,0,0,41, - 22,114,34,0,0,0,114,41,0,0,0,114,37,0,0,0, - 114,3,0,0,0,114,47,0,0,0,114,216,0,0,0,114, - 42,0,0,0,114,7,1,0,0,218,11,95,102,105,108,108, - 95,99,97,99,104,101,114,7,0,0,0,114,10,1,0,0, - 114,92,0,0,0,114,9,1,0,0,114,30,0,0,0,114, - 6,1,0,0,114,46,0,0,0,114,4,1,0,0,114,48, - 0,0,0,114,118,0,0,0,114,133,0,0,0,114,158,0, - 0,0,114,154,0,0,0,41,14,114,104,0,0,0,114,123, - 0,0,0,114,177,0,0,0,90,12,105,115,95,110,97,109, - 101,115,112,97,99,101,90,11,116,97,105,108,95,109,111,100, - 117,108,101,114,130,0,0,0,90,5,99,97,99,104,101,90, - 12,99,97,99,104,101,95,109,111,100,117,108,101,90,9,98, - 97,115,101,95,112,97,116,104,114,222,0,0,0,114,163,0, - 0,0,90,13,105,110,105,116,95,102,105,108,101,110,97,109, - 101,90,9,102,117,108,108,95,112,97,116,104,114,162,0,0, - 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 114,178,0,0,0,208,4,0,0,115,70,0,0,0,0,5, - 4,1,14,1,2,1,24,1,14,1,10,1,10,1,8,1, - 6,2,6,1,6,1,10,2,6,1,4,2,8,1,12,1, - 16,1,8,1,10,1,8,1,24,4,8,2,16,1,16,1, - 16,1,12,1,8,1,10,1,12,1,6,1,12,1,12,1, - 8,1,4,1,122,20,70,105,108,101,70,105,110,100,101,114, - 46,102,105,110,100,95,115,112,101,99,99,1,0,0,0,0, - 0,0,0,9,0,0,0,13,0,0,0,67,0,0,0,115, - 194,0,0,0,124,0,106,0,125,1,121,22,116,1,106,2, - 124,1,112,22,116,1,106,3,131,0,131,1,125,2,87,0, - 110,30,4,0,116,4,116,5,116,6,102,3,107,10,114,58, - 1,0,1,0,1,0,103,0,125,2,89,0,110,2,88,0, - 116,7,106,8,106,9,100,1,131,1,115,84,116,10,124,2, - 131,1,124,0,95,11,110,78,116,10,131,0,125,3,120,64, - 124,2,68,0,93,56,125,4,124,4,106,12,100,2,131,1, - 92,3,125,5,125,6,125,7,124,6,114,138,100,3,106,13, - 124,5,124,7,106,14,131,0,131,2,125,8,110,4,124,5, - 125,8,124,3,106,15,124,8,131,1,1,0,113,96,87,0, - 124,3,124,0,95,11,116,7,106,8,106,9,116,16,131,1, - 114,190,100,4,100,5,132,0,124,2,68,0,131,1,124,0, - 95,17,100,6,83,0,41,7,122,68,70,105,108,108,32,116, - 104,101,32,99,97,99,104,101,32,111,102,32,112,111,116,101, - 110,116,105,97,108,32,109,111,100,117,108,101,115,32,97,110, - 100,32,112,97,99,107,97,103,101,115,32,102,111,114,32,116, - 104,105,115,32,100,105,114,101,99,116,111,114,121,46,114,0, - 0,0,0,114,61,0,0,0,122,5,123,125,46,123,125,99, - 1,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0, - 83,0,0,0,115,20,0,0,0,104,0,124,0,93,12,125, - 1,124,1,106,0,131,0,146,2,113,4,83,0,114,4,0, - 0,0,41,1,114,92,0,0,0,41,2,114,24,0,0,0, - 90,2,102,110,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,250,9,60,115,101,116,99,111,109,112,62,29,5, - 0,0,115,2,0,0,0,6,0,122,41,70,105,108,101,70, - 105,110,100,101,114,46,95,102,105,108,108,95,99,97,99,104, - 101,46,60,108,111,99,97,108,115,62,46,60,115,101,116,99, - 111,109,112,62,78,41,18,114,37,0,0,0,114,3,0,0, - 0,90,7,108,105,115,116,100,105,114,114,47,0,0,0,114, - 255,0,0,0,218,15,80,101,114,109,105,115,115,105,111,110, - 69,114,114,111,114,218,18,78,111,116,65,68,105,114,101,99, - 116,111,114,121,69,114,114,111,114,114,8,0,0,0,114,9, - 0,0,0,114,10,0,0,0,114,8,1,0,0,114,9,1, - 0,0,114,87,0,0,0,114,50,0,0,0,114,92,0,0, - 0,218,3,97,100,100,114,11,0,0,0,114,10,1,0,0, - 41,9,114,104,0,0,0,114,37,0,0,0,90,8,99,111, - 110,116,101,110,116,115,90,21,108,111,119,101,114,95,115,117, - 102,102,105,120,95,99,111,110,116,101,110,116,115,114,244,0, - 0,0,114,102,0,0,0,114,234,0,0,0,114,222,0,0, - 0,90,8,110,101,119,95,110,97,109,101,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,12,1,0,0,0, - 5,0,0,115,34,0,0,0,0,2,6,1,2,1,22,1, - 20,3,10,3,12,1,12,7,6,1,10,1,16,1,4,1, - 18,2,4,1,14,1,6,1,12,1,122,22,70,105,108,101, - 70,105,110,100,101,114,46,95,102,105,108,108,95,99,97,99, - 104,101,99,1,0,0,0,0,0,0,0,3,0,0,0,3, - 0,0,0,7,0,0,0,115,18,0,0,0,135,0,135,1, - 102,2,100,1,100,2,132,8,125,2,124,2,83,0,41,3, - 97,20,1,0,0,65,32,99,108,97,115,115,32,109,101,116, - 104,111,100,32,119,104,105,99,104,32,114,101,116,117,114,110, - 115,32,97,32,99,108,111,115,117,114,101,32,116,111,32,117, - 115,101,32,111,110,32,115,121,115,46,112,97,116,104,95,104, - 111,111,107,10,32,32,32,32,32,32,32,32,119,104,105,99, - 104,32,119,105,108,108,32,114,101,116,117,114,110,32,97,110, - 32,105,110,115,116,97,110,99,101,32,117,115,105,110,103,32, - 116,104,101,32,115,112,101,99,105,102,105,101,100,32,108,111, - 97,100,101,114,115,32,97,110,100,32,116,104,101,32,112,97, - 116,104,10,32,32,32,32,32,32,32,32,99,97,108,108,101, - 100,32,111,110,32,116,104,101,32,99,108,111,115,117,114,101, - 46,10,10,32,32,32,32,32,32,32,32,73,102,32,116,104, - 101,32,112,97,116,104,32,99,97,108,108,101,100,32,111,110, - 32,116,104,101,32,99,108,111,115,117,114,101,32,105,115,32, - 110,111,116,32,97,32,100,105,114,101,99,116,111,114,121,44, - 32,73,109,112,111,114,116,69,114,114,111,114,32,105,115,10, - 32,32,32,32,32,32,32,32,114,97,105,115,101,100,46,10, - 10,32,32,32,32,32,32,32,32,99,1,0,0,0,0,0, - 0,0,1,0,0,0,4,0,0,0,19,0,0,0,115,34, - 0,0,0,116,0,124,0,131,1,115,20,116,1,100,1,124, - 0,100,2,141,2,130,1,136,0,124,0,102,1,136,1,158, - 2,142,0,83,0,41,3,122,45,80,97,116,104,32,104,111, - 111,107,32,102,111,114,32,105,109,112,111,114,116,108,105,98, - 46,109,97,99,104,105,110,101,114,121,46,70,105,108,101,70, - 105,110,100,101,114,46,122,30,111,110,108,121,32,100,105,114, - 101,99,116,111,114,105,101,115,32,97,114,101,32,115,117,112, - 112,111,114,116,101,100,41,1,114,37,0,0,0,41,2,114, - 48,0,0,0,114,103,0,0,0,41,1,114,37,0,0,0, - 41,2,114,168,0,0,0,114,11,1,0,0,114,4,0,0, - 0,114,6,0,0,0,218,24,112,97,116,104,95,104,111,111, - 107,95,102,111,114,95,70,105,108,101,70,105,110,100,101,114, - 41,5,0,0,115,6,0,0,0,0,2,8,1,12,1,122, - 54,70,105,108,101,70,105,110,100,101,114,46,112,97,116,104, - 95,104,111,111,107,46,60,108,111,99,97,108,115,62,46,112, - 97,116,104,95,104,111,111,107,95,102,111,114,95,70,105,108, - 101,70,105,110,100,101,114,114,4,0,0,0,41,3,114,168, - 0,0,0,114,11,1,0,0,114,17,1,0,0,114,4,0, - 0,0,41,2,114,168,0,0,0,114,11,1,0,0,114,6, - 0,0,0,218,9,112,97,116,104,95,104,111,111,107,31,5, - 0,0,115,4,0,0,0,0,10,14,6,122,20,70,105,108, - 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, - 0,0,67,0,0,0,115,12,0,0,0,100,1,106,0,124, - 0,106,1,131,1,83,0,41,2,78,122,16,70,105,108,101, - 70,105,110,100,101,114,40,123,33,114,125,41,41,2,114,50, - 0,0,0,114,37,0,0,0,41,1,114,104,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,243, - 0,0,0,49,5,0,0,115,2,0,0,0,0,1,122,19, - 70,105,108,101,70,105,110,100,101,114,46,95,95,114,101,112, - 114,95,95,41,1,78,41,15,114,109,0,0,0,114,108,0, - 0,0,114,110,0,0,0,114,111,0,0,0,114,182,0,0, - 0,114,249,0,0,0,114,127,0,0,0,114,179,0,0,0, - 114,121,0,0,0,114,4,1,0,0,114,178,0,0,0,114, - 12,1,0,0,114,180,0,0,0,114,18,1,0,0,114,243, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,5,1,0,0,162,4,0,0, - 115,20,0,0,0,8,7,4,2,8,14,8,4,4,2,8, - 12,8,5,10,48,8,31,12,18,114,5,1,0,0,99,4, - 0,0,0,0,0,0,0,6,0,0,0,11,0,0,0,67, - 0,0,0,115,146,0,0,0,124,0,106,0,100,1,131,1, - 125,4,124,0,106,0,100,2,131,1,125,5,124,4,115,66, - 124,5,114,36,124,5,106,1,125,4,110,30,124,2,124,3, - 107,2,114,56,116,2,124,1,124,2,131,2,125,4,110,10, - 116,3,124,1,124,2,131,2,125,4,124,5,115,84,116,4, - 124,1,124,2,124,4,100,3,141,3,125,5,121,36,124,5, - 124,0,100,2,60,0,124,4,124,0,100,1,60,0,124,2, - 124,0,100,4,60,0,124,3,124,0,100,5,60,0,87,0, - 110,20,4,0,116,5,107,10,114,140,1,0,1,0,1,0, - 89,0,110,2,88,0,100,0,83,0,41,6,78,218,10,95, - 95,108,111,97,100,101,114,95,95,218,8,95,95,115,112,101, - 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