diff -r bc625fce0aee Doc/library/sys.rst --- a/Doc/library/sys.rst Mon Jan 18 08:00:15 2016 +0100 +++ b/Doc/library/sys.rst Mon Jan 18 09:59:14 2016 +0100 @@ -403,6 +403,13 @@ always available. .. versionadded:: 3.4 +.. function:: get_code_transformers() + + Return the list of code transformers.; see :func:`set_code_transformers`. + + .. versionadded:: 3.6 + + .. function:: getcheckinterval() Return the interpreter's "check interval"; see :func:`setcheckinterval`. @@ -679,6 +686,9 @@ always available. ``cache_tag`` is set to ``None``, it indicates that module caching should be disabled. + *optim_tag* is the optimized tag used by the import machinery in the + filenames of cached modules. + :data:`sys.implementation` may contain additional attributes specific to the Python implementation. These non-standard attributes must start with an underscore, and are not described here. Regardless of its contents, @@ -688,6 +698,9 @@ always available. .. versionadded:: 3.3 + .. versionchanged:: 3.6 + Added *optim_tag* attribute. + .. data:: int_info @@ -938,6 +951,13 @@ always available. implement a dynamic prompt. +.. function:: set_code_transformers(transformers) + + Set code transformers: *transformers* is a sequence of code transformers. + + .. versionadded:: 3.6 + + .. function:: setcheckinterval(interval) Set the interpreter's "check interval". This integer value determines how often diff -r bc625fce0aee Include/code.h --- a/Include/code.h Mon Jan 18 08:00:15 2016 +0100 +++ b/Include/code.h Mon Jan 18 09:59:14 2016 +0100 @@ -117,7 +117,8 @@ PyAPI_FUNC(int) _PyCode_CheckLineNumber( #endif PyAPI_FUNC(PyObject*) PyCode_Optimize(PyObject *code, PyObject* consts, - PyObject *names, PyObject *lineno_obj); + PyObject *names, PyObject *lnotab); +PyAPI_DATA(PyTypeObject) _PyPeepholeOptimizer_Type; #ifdef __cplusplus } diff -r bc625fce0aee Include/pydebug.h --- a/Include/pydebug.h Mon Jan 18 08:00:15 2016 +0100 +++ b/Include/pydebug.h Mon Jan 18 09:59:14 2016 +0100 @@ -23,6 +23,7 @@ PyAPI_DATA(int) Py_NoUserSiteDirectory; PyAPI_DATA(int) Py_UnbufferedStdioFlag; PyAPI_DATA(int) Py_HashRandomizationFlag; PyAPI_DATA(int) Py_IsolatedFlag; +PyAPI_DATA(PyObject*) _Py_OptimTag; /* this is a wrapper around getenv() that pays attention to Py_IgnoreEnvironmentFlag. It should be used for getting variables like diff -r bc625fce0aee Include/pystate.h --- a/Include/pystate.h Mon Jan 18 08:00:15 2016 +0100 +++ b/Include/pystate.h Mon Jan 18 09:59:14 2016 +0100 @@ -21,11 +21,12 @@ typedef struct _is { struct _is *next; struct _ts *tstate_head; - PyObject *modules; + PyObject *sys; /* sys module */ + PyObject *sysdict; /* sys.__dict__ */ + PyObject *modules; /* sys.modules list */ PyObject *modules_by_index; - PyObject *sysdict; - PyObject *builtins; - PyObject *importlib; + PyObject *builtins; /* dictionary of the builtins module */ + PyObject *importlib; /* importlib module */ PyObject *codec_search_path; PyObject *codec_search_cache; diff -r bc625fce0aee Include/sysmodule.h --- a/Include/sysmodule.h Mon Jan 18 08:00:15 2016 +0100 +++ b/Include/sysmodule.h Mon Jan 18 09:59:14 2016 +0100 @@ -37,6 +37,26 @@ PyAPI_FUNC(PyObject *) PySys_GetXOptions PyAPI_FUNC(size_t) _PySys_GetSizeOf(PyObject *); #endif +#ifndef Py_LIMITED_API +typedef struct { + /* The code transformer object */ + PyObject *transformer; + + /* name of the transformer */ + PyObject *name; + + /* ast_transformer() method of transformer, or NULL */ + PyObject *ast_transformer; + + /* code_transformer() method of transformer, or NULL */ + PyObject *code_transformer; +} _PySys_CodeTransformer; + +PyAPI_FUNC(int) _PySys_GetCodeTransformers( + _PySys_CodeTransformer **transformers, + Py_ssize_t *ntransformer); +#endif + #ifdef __cplusplus } #endif diff -r bc625fce0aee Lib/distutils/tests/test_bdist_dumb.py --- a/Lib/distutils/tests/test_bdist_dumb.py Mon Jan 18 08:00:15 2016 +0100 +++ b/Lib/distutils/tests/test_bdist_dumb.py Mon Jan 18 09:59:14 2016 +0100 @@ -87,7 +87,9 @@ class BuildDumbTestCase(support.TempdirM contents = sorted(os.path.basename(fn) for fn in contents) wanted = ['foo-0.1-py%s.%s.egg-info' % sys.version_info[:2], 'foo.py'] if not sys.dont_write_bytecode: - wanted.append('foo.%s.pyc' % sys.implementation.cache_tag) + fn = 'foo.%s.%s-0.pyc' % (sys.implementation.cache_tag, + sys.implementation.optim_tag) + wanted.append(fn) self.assertEqual(contents, sorted(wanted)) def test_suite(): diff -r bc625fce0aee Lib/distutils/tests/test_build_py.py --- a/Lib/distutils/tests/test_build_py.py Mon Jan 18 08:00:15 2016 +0100 +++ b/Lib/distutils/tests/test_build_py.py Mon Jan 18 09:59:14 2016 +0100 @@ -62,8 +62,9 @@ class BuildPyTestCase(support.TempdirMan self.assertFalse(os.path.exists(pycache_dir)) else: pyc_files = os.listdir(pycache_dir) - self.assertIn("__init__.%s.pyc" % sys.implementation.cache_tag, - pyc_files) + fn = '__init__.%s.%s-0.pyc' % (sys.implementation.cache_tag, + sys.implementation.optim_tag) + self.assertIn(fn, pyc_files) def test_empty_package_dir(self): # See bugs #1668596/#1720897 @@ -102,8 +103,10 @@ class BuildPyTestCase(support.TempdirMan found = os.listdir(cmd.build_lib) self.assertEqual(sorted(found), ['__pycache__', 'boiledeggs.py']) found = os.listdir(os.path.join(cmd.build_lib, '__pycache__')) + fn = 'boiledeggs.%s.%s-0.pyc' % (sys.implementation.cache_tag, + sys.implementation.optim_tag) self.assertEqual(found, - ['boiledeggs.%s.pyc' % sys.implementation.cache_tag]) + [fn]) @unittest.skipIf(sys.dont_write_bytecode, 'byte-compile disabled') def test_byte_compile_optimized(self): @@ -120,7 +123,9 @@ class BuildPyTestCase(support.TempdirMan found = os.listdir(cmd.build_lib) self.assertEqual(sorted(found), ['__pycache__', 'boiledeggs.py']) found = os.listdir(os.path.join(cmd.build_lib, '__pycache__')) - expect = 'boiledeggs.{}.opt-1.pyc'.format(sys.implementation.cache_tag) + expect = ('boiledeggs.%s.%s-1.pyc' + % (sys.implementation.cache_tag, + sys.implementation.optim_tag)) self.assertEqual(sorted(found), [expect]) def test_dir_in_package_data(self): diff -r bc625fce0aee Lib/distutils/tests/test_install.py --- a/Lib/distutils/tests/test_install.py Mon Jan 18 08:00:15 2016 +0100 +++ b/Lib/distutils/tests/test_install.py Mon Jan 18 09:59:14 2016 +0100 @@ -190,7 +190,9 @@ class InstallTestCase(support.TempdirMan f.close() found = [os.path.basename(line) for line in content.splitlines()] - expected = ['hello.py', 'hello.%s.pyc' % sys.implementation.cache_tag, + fn_pyc = 'hello.%s.%s-0.pyc' % (sys.implementation.cache_tag, + sys.implementation.optim_tag) + expected = ['hello.py', fn_pyc, 'sayhi', 'UNKNOWN-0.0.0-py%s.%s.egg-info' % sys.version_info[:2]] self.assertEqual(found, expected) diff -r bc625fce0aee Lib/importlib/_bootstrap_external.py --- a/Lib/importlib/_bootstrap_external.py Mon Jan 18 08:00:15 2016 +0100 +++ b/Lib/importlib/_bootstrap_external.py Mon Jan 18 09:59:14 2016 +0100 @@ -233,7 +233,6 @@ MAGIC_NUMBER = (3360).to_bytes(2, 'littl _RAW_MAGIC_NUMBER = int.from_bytes(MAGIC_NUMBER, 'little') # For import.c _PYCACHE = '__pycache__' -_OPT = 'opt-' SOURCE_SUFFIXES = ['.py'] # _setup() adds .pyw as needed. @@ -273,15 +272,15 @@ def cache_from_source(path, debug_overri raise NotImplementedError('sys.implementation.cache_tag is None') almost_filename = ''.join([(base if base else rest), sep, tag]) if optimization is None: - if sys.flags.optimize == 0: - optimization = '' - else: - optimization = sys.flags.optimize + optimization = sys.flags.optimize + elif optimization == '': + optimization = 0 optimization = str(optimization) if optimization != '': if not optimization.isalnum(): raise ValueError('{!r} is not alphanumeric'.format(optimization)) - almost_filename = '{}.{}{}'.format(almost_filename, _OPT, optimization) + part = sys.implementation.optim_tag + '-' + almost_filename = '{}.{}{}'.format(almost_filename, part, optimization) return _path_join(head, _PYCACHE, almost_filename + BYTECODE_SUFFIXES[0]) @@ -307,10 +306,12 @@ def source_from_cache(path): '{!r}'.format(pycache_filename)) elif dot_count == 3: optimization = pycache_filename.rsplit('.', 2)[-2] - if not optimization.startswith(_OPT): + optim_tag = sys.implementation.optim_tag + '-' + if optimization.startswith(optim_tag): + opt_level = optimization[len(optim_tag):] + else: raise ValueError("optimization portion of filename does not start " - "with {!r}".format(_OPT)) - opt_level = optimization[len(_OPT):] + "with {!r}".format(optim_tag)) if not opt_level.isalnum(): raise ValueError("optimization level {!r} is not an alphanumeric " "value".format(optimization)) @@ -659,6 +660,13 @@ class _LoaderBasics: return _bootstrap._load_module_shim(self, fullname) +def _transformers_tag(): + transformers = sys.get_code_transformers() + if not transformers: + return 'noopt' + return '-'.join(transformer.name for transformer in transformers) + + class SourceLoader(_LoaderBasics): def path_mtime(self, path): @@ -754,6 +762,15 @@ class SourceLoader(_LoaderBasics): return _compile_bytecode(bytes_data, name=fullname, bytecode_path=bytecode_path, source_path=source_path) + + optim_tag= sys.implementation.optim_tag + transformers_tag = _transformers_tag() + if optim_tag != transformers_tag: + # AST transformers are missing, the code cannot be compiled + raise ImportError("missing AST transformers for %r: " + "optim_tag=%r, transformers tag=%r" + % (source_path, optim_tag, transformers_tag)) + source_bytes = self.get_data(source_path) code_object = self.source_to_code(source_bytes, source_path) _bootstrap._verbose_message('code object from {}', source_path) diff -r bc625fce0aee Lib/test/test_compileall.py --- a/Lib/test/test_compileall.py Mon Jan 18 08:00:15 2016 +0100 +++ b/Lib/test/test_compileall.py Mon Jan 18 09:59:14 2016 +0100 @@ -219,7 +219,7 @@ class CommandLineTests(unittest.TestCase raise unittest.SkipTest('not all entries on sys.path are writable') def _get_run_args(self, args): - interp_args = ['-S'] + interp_args = ['-S', '-o', sys.implementation.optim_tag] if sys.flags.optimize: interp_args.append({1 : '-O', 2 : '-OO'}[sys.flags.optimize]) return interp_args + ['-m', 'compileall'] + list(args) @@ -289,10 +289,11 @@ class CommandLineTests(unittest.TestCase # Ensure that the default behavior of compileall's CLI is to create # PEP 3147/PEP 488 pyc files. + optim_tag = sys.implementation.optim_tag for name, ext, switch in [ - ('normal', 'pyc', []), - ('optimize', 'opt-1.pyc', ['-O']), - ('doubleoptimize', 'opt-2.pyc', ['-OO']), + ('normal', '%s-0.pyc' % optim_tag, ['-o', optim_tag]), + ('optimize', '%s-1.pyc' % optim_tag, ['-o', optim_tag, '-O']), + ('doubleoptimize', '%s-2.pyc' % optim_tag, ['-o', optim_tag, '-OO']), ]: def f(self, ext=ext, switch=switch): script_helper.assert_python_ok(*(switch + diff -r bc625fce0aee Lib/test/test_imp.py --- a/Lib/test/test_imp.py Mon Jan 18 08:00:15 2016 +0100 +++ b/Lib/test/test_imp.py Mon Jan 18 09:59:14 2016 +0100 @@ -365,8 +365,8 @@ class PEP3147Tests(unittest.TestCase): # Given the path to a .py file, return the path to its PEP 3147 # defined .pyc file (i.e. under __pycache__). path = os.path.join('foo', 'bar', 'baz', 'qux.py') - expect = os.path.join('foo', 'bar', 'baz', '__pycache__', - 'qux.{}.pyc'.format(self.tag)) + pyc = 'qux.{}.{}-0.pyc'.format(self.tag, sys.implementation.optim_tag) + expect = os.path.join('foo', 'bar', 'baz', '__pycache__', pyc) self.assertEqual(imp.cache_from_source(path, True), expect) @unittest.skipUnless(sys.implementation.cache_tag is not None, diff -r bc625fce0aee Lib/test/test_importlib/test_util.py --- a/Lib/test/test_importlib/test_util.py Mon Jan 18 08:00:15 2016 +0100 +++ b/Lib/test/test_importlib/test_util.py Mon Jan 18 09:59:14 2016 +0100 @@ -554,6 +554,12 @@ class PEP3147Tests: """Tests of PEP 3147-related functions: cache_from_source and source_from_cache.""" tag = sys.implementation.cache_tag + optim_tag = sys.implementation.optim_tag + + def pyc_filename(self, name, optim_level=0, name_dot=True): + if name_dot: + name += '.' + return f'{name}{self.tag}.{self.optim_tag}-{optim_level}.pyc' @unittest.skipUnless(sys.implementation.cache_tag is not None, 'requires sys.implementation.cache_tag not be None') @@ -561,8 +567,9 @@ class PEP3147Tests: # Given the path to a .py file, return the path to its PEP 3147 # defined .pyc file (i.e. under __pycache__). path = os.path.join('foo', 'bar', 'baz', 'qux.py') + filename = self.pyc_filename('qux') expect = os.path.join('foo', 'bar', 'baz', '__pycache__', - 'qux.{}.pyc'.format(self.tag)) + filename) self.assertEqual(self.util.cache_from_source(path, optimization=''), expect) @@ -575,8 +582,8 @@ class PEP3147Tests: def test_cache_from_source_no_dot(self): # Directory with a dot, filename without dot. path = os.path.join('foo.bar', 'file') - expect = os.path.join('foo.bar', '__pycache__', - 'file{}.pyc'.format(self.tag)) + filename = self.pyc_filename('file', name_dot=False) + expect = os.path.join('foo.bar', '__pycache__', filename) self.assertEqual(self.util.cache_from_source(path, optimization=''), expect) @@ -599,7 +606,8 @@ class PEP3147Tests: def test_cache_from_source_cwd(self): path = 'foo.py' - expect = os.path.join('__pycache__', 'foo.{}.pyc'.format(self.tag)) + filename = self.pyc_filename('foo') + expect = os.path.join('__pycache__', filename) self.assertEqual(self.util.cache_from_source(path, optimization=''), expect) @@ -624,7 +632,8 @@ class PEP3147Tests: def test_cache_from_source_optimization_empty_string(self): # Setting 'optimization' to '' leads to no optimization tag (PEP 488). path = 'foo.py' - expect = os.path.join('__pycache__', 'foo.{}.pyc'.format(self.tag)) + filename = self.pyc_filename('foo') + expect = os.path.join('__pycache__', filename) self.assertEqual(self.util.cache_from_source(path, optimization=''), expect) @@ -633,30 +642,31 @@ class PEP3147Tests: # (PEP 488) path = 'foo.py' optimization_level = sys.flags.optimize - almost_expect = os.path.join('__pycache__', 'foo.{}'.format(self.tag)) - if optimization_level == 0: - expect = almost_expect + '.pyc' - elif optimization_level <= 2: - expect = almost_expect + '.opt-{}.pyc'.format(optimization_level) + if optimization_level <= 2: + filename = self.pyc_filename('foo', optimization_level) else: msg = '{!r} is a non-standard optimization level'.format(optimization_level) self.skipTest(msg) self.assertEqual(self.util.cache_from_source(path, optimization=None), - expect) + os.path.join('__pycache__', filename)) def test_cache_from_source_optimization_set(self): # The 'optimization' parameter accepts anything that has a string repr # that passes str.alnum(). path = 'foo.py' valid_characters = string.ascii_letters + string.digits - almost_expect = os.path.join('__pycache__', 'foo.{}'.format(self.tag)) + got = self.util.cache_from_source(path, optimization=valid_characters) # Test all valid characters are accepted. + filename = self.pyc_filename('foo', valid_characters) self.assertEqual(got, - almost_expect + '.opt-{}.pyc'.format(valid_characters)) + os.path.join('__pycache__', filename)) + # str() should be called on argument. + filename = self.pyc_filename('foo', 42) self.assertEqual(self.util.cache_from_source(path, optimization=42), - almost_expect + '.opt-42.pyc') + os.path.join('__pycache__', filename)) + # Invalid characters raise ValueError. with self.assertRaises(ValueError): self.util.cache_from_source(path, optimization='path/is/bad') @@ -713,7 +723,7 @@ class PEP3147Tests: def test_source_from_cache_too_many_dots(self): with self.assertRaises(ValueError): self.util.source_from_cache( - '__pycache__/foo.cpython-32.opt-1.foo.pyc') + '__pycache__/foo.cpython-32.{}-1.foo.pyc'.format(self.optim_tag)) def test_source_from_cache_not_opt(self): # Non-`opt-` path component -> ValueError @@ -729,12 +739,12 @@ class PEP3147Tests: def test_source_from_cache_optimized_bytecode(self): # Optimized bytecode is not an issue. - path = os.path.join('__pycache__', 'foo.{}.opt-1.pyc'.format(self.tag)) + path = os.path.join('__pycache__', self.pyc_filename('foo', 1)) self.assertEqual(self.util.source_from_cache(path), 'foo.py') def test_source_from_cache_missing_optimization(self): # An empty optimization level is a no-no. - path = os.path.join('__pycache__', 'foo.{}.opt-.pyc'.format(self.tag)) + path = os.path.join('__pycache__', self.pyc_filename('foo', '')) with self.assertRaises(ValueError): self.util.source_from_cache(path) diff -r bc625fce0aee Lib/test/test_pep511.py --- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/Lib/test/test_pep511.py Mon Jan 18 09:59:14 2016 +0100 @@ -0,0 +1,122 @@ +import unittest +import ast +import os.path +import sys +from test.support.script_helper import assert_python_ok, assert_python_failure + + +class BytecodeTransformer: + name = "bytecode" + + def __init__(self): + self.call = None + + def code_transformer(self, code, consts, names, lnotab, context): + self.call = (code, consts, names, lnotab, context) + consts = ['Ni! Ni! Ni!' if isinstance(const, str) else const + for const in consts] + return (code, consts, names, lnotab) + + +class KnightsWhoSayNi(ast.NodeTransformer): + def visit_Str(self, node): + node.s = 'Ni! Ni! Ni!' + return node + + +class ASTTransformer: + name = "ast" + + def __init__(self): + self.transformer = KnightsWhoSayNi() + self.call = None + + def ast_transformer(self, tree, context): + self.call = (tree, context) + self.transformer.visit(tree) + return tree + + +class CodeTransformerTests(unittest.TestCase): + def setUp(self): + transformers = sys.get_code_transformers() + self.addCleanup(sys.set_code_transformers, transformers) + + sys.set_code_transformers([]) + + def test_bytecode(self): + sys.set_code_transformers([BytecodeTransformer()]) + code = compile('print("Hello World")', '', 'exec') + self.assertEqual(code.co_consts, ('Ni! Ni! Ni!', None)) + + def test_bytecode_call(self): + expr = 'x + 1' + filename = "test.py" + expected = compile(expr, filename, "exec") + + transformer = BytecodeTransformer() + sys.set_code_transformers([transformer]) + code = compile(expr, filename, "exec") + + bytecode, consts, names, lnotab, context = transformer.call + self.assertEqual(bytecode, expected.co_code) + self.assertEqual(consts, [1, None]) + self.assertEqual(names, ('x',)) + self.assertEqual(lnotab, b'') + self.assertEqual(context.filename, filename) + + def test_ast(self): + expected = ast.parse('print("Ni! Ni! Ni!")') + + sys.set_code_transformers([ASTTransformer()]) + tree = ast.parse('print("Hello World")') + self.assertEqual(ast.dump(tree), ast.dump(expected)) + + def test_ast_call(self): + code = '1 + 1' + expected_ast = ast.dump(ast.parse(code)) + + filename = "test.py" + transformer = ASTTransformer() + sys.set_code_transformers([transformer]) + compile(code, filename, "exec") + + tree, context = transformer.call + self.assertEqual(ast.dump(tree), expected_ast) + self.assertEqual(context.filename, filename) + + +class DefaultTransformerTests(unittest.TestCase): + def check_default(self, expected, *args): + code = ('import sys; ', + 'transformers = list(map(type, sys.get_code_transformers()))', + 'print(transformers, sys.implementation.optim_tag)') + res = assert_python_ok(*args, '-c', '\n'.join(code)) + self.assertEqual(res.out.rstrip(), expected) + + def test_default(self): + self.check_default(b"[] opt") + + def test_opt(self): + self.check_default(b"[] opt", '-o', 'opt') + + def test_noopt(self): + self.check_default(b"[] noopt", '-o', 'noopt') + + +class OptimTagTests(unittest.TestCase): + """Test -o command line option.""" + + def test_invalid_optim_tags(self): + # '.' and '-' are invalid in optimizer tag + invalid_tags = ['a.b', 'a-b', 'a%sb' % os.path.sep] + if os.path.altsep: + invalid_tags.append('a%sb' % os.path.altsep) + for optim_tag in invalid_tags: + code = 'import sys; print(sys.implementation.optim_tag)' + res = assert_python_failure('-o', optim_tag, '-c', code) + self.assertIn(b'invalid optimization tag', res.err.rstrip()) + + +if __name__ == "__main__": + unittest.main() diff -r bc625fce0aee Lib/test/test_py_compile.py --- a/Lib/test/test_py_compile.py Mon Jan 18 08:00:15 2016 +0100 +++ b/Lib/test/test_py_compile.py Mon Jan 18 09:59:14 2016 +0100 @@ -107,11 +107,11 @@ class PyCompileTests(unittest.TestCase): pyc_path = weird_path + 'c' head, tail = os.path.split(cache_path) penultimate_tail = os.path.basename(head) + pyc = 'foo.bar.{}.{}-0.pyc'.format(sys.implementation.cache_tag, + sys.implementation.optim_tag) self.assertEqual( os.path.join(penultimate_tail, tail), - os.path.join( - '__pycache__', - 'foo.bar.{}.pyc'.format(sys.implementation.cache_tag))) + os.path.join( '__pycache__', pyc)) with open(weird_path, 'w') as file: file.write('x = 123\n') py_compile.compile(weird_path) @@ -120,7 +120,8 @@ class PyCompileTests(unittest.TestCase): def test_optimization_path(self): # Specifying optimized bytecode should lead to a path reflecting that. - self.assertIn('opt-2', py_compile.compile(self.source_path, optimize=2)) + expected = '{}-2'.format(sys.implementation.optim_tag) + self.assertIn(expected, py_compile.compile(self.source_path, optimize=2)) if __name__ == "__main__": diff -r bc625fce0aee Modules/main.c --- a/Modules/main.c Mon Jan 18 08:00:15 2016 +0100 +++ b/Modules/main.c Mon Jan 18 09:59:14 2016 +0100 @@ -37,7 +37,7 @@ static wchar_t **orig_argv; static int orig_argc; /* command line options */ -#define BASE_OPTS L"bBc:dEhiIJm:OqRsStuvVW:xX:?" +#define BASE_OPTS L"bBc:dEhiIJm:Oo:qRsStuvVW:xX:?" #define PROGRAM_OPTS BASE_OPTS @@ -63,6 +63,7 @@ static const char usage_2[] = "\ -m mod : run library module as a script (terminates option list)\n\ -O : optimize generated bytecode slightly; also PYTHONOPTIMIZE=x\n\ -OO : remove doc-strings in addition to the -O optimizations\n\ +-o opt : optimisation tag\n\ -q : don't print version and copyright messages on interactive startup\n\ -s : don't add user site directory to sys.path; also PYTHONNOUSERSITE\n\ -S : don't imply 'import site' on initialization\n\ @@ -489,6 +490,19 @@ Py_Main(int argc, wchar_t **argv) /* Ignored */ break; + case 'o': + if (wcslen(_PyOS_optarg) == 0 + || wcschr(_PyOS_optarg, L'.') + || wcschr(_PyOS_optarg, L'-') + || wcschr(_PyOS_optarg, SEP) +#ifdef ALTSEP + || wcschr(_PyOS_optarg, ALTSEP) +#endif + ) + Py_FatalError("invalid optimization tag"); + _Py_OptimTag = PyUnicode_FromWideChar(_PyOS_optarg, -1); + break; + /* This space reserved for other options */ default: diff -r bc625fce0aee Objects/object.c --- a/Objects/object.c Mon Jan 18 08:00:15 2016 +0100 +++ b/Objects/object.c Mon Jan 18 09:59:14 2016 +0100 @@ -1729,6 +1729,9 @@ void if (PyType_Ready(&_PyCoroWrapper_Type) < 0) Py_FatalError("Can't initialize coroutine wrapper type"); + + if (PyType_Ready(&_PyPeepholeOptimizer_Type) < 0) + Py_FatalError("Can't initialize peephole optimizer type"); } diff -r bc625fce0aee Python/compile.c --- a/Python/compile.c Mon Jan 18 08:00:15 2016 +0100 +++ b/Python/compile.c Mon Jan 18 09:59:14 2016 +0100 @@ -4693,6 +4693,106 @@ compute_code_flags(struct compiler *c) return flags; } +static PyObject* +code_transformers_context(struct compiler *c) +{ + PyObject *dict, *namespace; + + dict = PyDict_New(); + if (dict == NULL) + return NULL; + + if (PyDict_SetItemString(dict, "filename", c->c_filename) < 0) { + Py_DECREF(dict); + return NULL; + } + + namespace = _PyNamespace_New(dict); + Py_DECREF(dict); + return namespace; +} + +static int +code_transformers(struct compiler *c, PyObject **bytecode, PyObject **consts, + PyObject **names, PyObject **lnotab) +{ + PyObject *context = NULL; + _PySys_CodeTransformer *transformers; + Py_ssize_t i, ntransformer, nbytecodetransformer; + + if (_PySys_GetCodeTransformers(&transformers, &ntransformer) < 0) { + PyErr_SetString(PyExc_RuntimeError, + "failed to get code transformers"); + return -1; + } + + nbytecodetransformer = 0; + for (i=0; i < ntransformer; i++) { + if (transformers[i].code_transformer) + nbytecodetransformer++; + } + if (nbytecodetransformer == 0) { + /* No AST transformer registered: nothing to do. + * Optimization to avoid calling the expensive functions + * PyAST_mod2obj(), PyAST_obj2mod(), PyAST_Validate(). */ + return 0; + } + + /* FIXME: the bytecode transformer can technically call + * sys.set_code_transformers(), we need to keep a strong reference on each + * bytecode transformer */ + + context = code_transformers_context(c); + + for (i=0; i < ntransformer; i++) { + PyObject *transformer, *res; + PyObject *new_bytecode, *new_consts, *new_names, *new_lnotab; + + transformer = transformers[i].code_transformer; + if (transformer == NULL) + continue; + + res = PyObject_CallFunction(transformer, "OOOOO", *bytecode, *consts, + *names, *lnotab, context); + if (res == NULL) { + /* FIXME: raise a better exception and chain the previous one */ + goto error; + } + + if (!PyTuple_Check(res) || PyTuple_GET_SIZE(res) != 4) { + PyErr_SetString(PyExc_ValueError, + "bytecode transformer must return " + "a (bytecode, consts, names, lnotab) tuple"); + return -1; + } + + new_bytecode = PyTuple_GET_ITEM(res, 0); + new_consts = PyTuple_GET_ITEM(res, 1); + new_names = PyTuple_GET_ITEM(res, 2); + new_lnotab = PyTuple_GET_ITEM(res, 3); + + Py_INCREF(new_bytecode); + Py_INCREF(new_consts); + Py_INCREF(new_names); + Py_INCREF(new_lnotab); + + Py_SETREF(*bytecode, new_bytecode); + Py_SETREF(*consts, new_consts); + Py_SETREF(*names, new_names); + Py_SETREF(*lnotab, new_lnotab); + + Py_DECREF(res); + } + + Py_DECREF(context); + return 0; + +error: + /* FIXME: release reference to AST transformers */ + Py_XDECREF(context); + return -1; +} + static PyCodeObject * makecode(struct compiler *c, struct assembler *a) { @@ -4705,6 +4805,7 @@ makecode(struct compiler *c, struct asse PyObject *freevars = NULL; PyObject *cellvars = NULL; PyObject *bytecode = NULL; + PyObject *lnotab = NULL; Py_ssize_t nlocals; int nlocals_int; int flags; @@ -4736,8 +4837,12 @@ makecode(struct compiler *c, struct asse if (flags < 0) goto error; - bytecode = PyCode_Optimize(a->a_bytecode, consts, names, a->a_lnotab); - if (!bytecode) + bytecode = a->a_bytecode; + lnotab = a->a_lnotab; + a->a_bytecode = NULL; + a->a_lnotab = NULL; + + if (code_transformers(c, &bytecode, &consts, &names, &lnotab) < 0) goto error; tmp = PyList_AsTuple(consts); /* PyCode_New requires a tuple */ @@ -4754,7 +4859,7 @@ makecode(struct compiler *c, struct asse freevars, cellvars, c->c_filename, c->u->u_name, c->u->u_firstlineno, - a->a_lnotab); + lnotab); error: Py_XDECREF(consts); Py_XDECREF(names); diff -r bc625fce0aee Python/importlib.h --- a/Python/importlib.h Mon Jan 18 08:00:15 2016 +0100 +++ b/Python/importlib.h Mon Jan 18 09:59:14 2016 +0100 @@ -86,15 +86,15 @@ const unsigned char _Py_M__importlib[] = 218,7,114,101,112,108,97,99,101,169,0,114,10,0,0,0, 250,29,60,102,114,111,122,101,110,32,105,109,112,111,114,116, 108,105,98,46,95,98,111,111,116,115,116,114,97,112,62,218, - 5,95,119,114,97,112,27,0,0,0,115,8,0,0,0,0, + 5,95,119,114,97,112,27,0,0,0,243,8,0,0,0,0, 2,25,1,15,1,29,1,114,12,0,0,0,99,1,0,0, 0,0,0,0,0,1,0,0,0,2,0,0,0,67,0,0, 0,115,16,0,0,0,116,0,0,116,1,0,131,1,0,124, 0,0,131,1,0,83,41,1,78,41,2,218,4,116,121,112, 101,218,3,115,121,115,41,1,218,4,110,97,109,101,114,10, 0,0,0,114,10,0,0,0,114,11,0,0,0,218,11,95, - 110,101,119,95,109,111,100,117,108,101,35,0,0,0,115,2, - 0,0,0,0,1,114,16,0,0,0,99,0,0,0,0,0, + 110,101,119,95,109,111,100,117,108,101,35,0,0,0,243,2, + 0,0,0,0,1,114,17,0,0,0,99,0,0,0,0,0, 0,0,0,0,0,0,0,2,0,0,0,64,0,0,0,115, 58,0,0,0,101,0,0,90,1,0,100,0,0,90,2,0, 100,1,0,90,3,0,100,2,0,100,3,0,132,0,0,90, @@ -108,19 +108,19 @@ const unsigned char _Py_M__importlib[] = 99,2,0,0,0,0,0,0,0,2,0,0,0,2,0,0, 0,67,0,0,0,115,13,0,0,0,124,1,0,124,0,0, 95,0,0,100,0,0,83,41,1,78,41,1,218,5,95,110, - 97,109,101,41,2,218,4,115,101,108,102,114,15,0,0,0, + 97,109,101,41,2,218,4,115,101,108,102,114,16,0,0,0, 114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,218, - 8,95,95,105,110,105,116,95,95,43,0,0,0,115,2,0, + 8,95,95,105,110,105,116,95,95,43,0,0,0,243,2,0, 0,0,0,1,122,22,95,77,97,110,97,103,101,82,101,108, 111,97,100,46,95,95,105,110,105,116,95,95,99,1,0,0, 0,0,0,0,0,1,0,0,0,2,0,0,0,67,0,0, 0,115,25,0,0,0,124,0,0,106,0,0,116,1,0,106, 2,0,107,6,0,124,0,0,95,3,0,100,0,0,83,41, - 1,78,41,4,114,18,0,0,0,114,14,0,0,0,218,7, + 1,78,41,4,114,20,0,0,0,114,15,0,0,0,218,7, 109,111,100,117,108,101,115,218,10,95,105,115,95,114,101,108, - 111,97,100,41,1,114,19,0,0,0,114,10,0,0,0,114, + 111,97,100,41,1,114,21,0,0,0,114,10,0,0,0,114, 10,0,0,0,114,11,0,0,0,218,9,95,95,101,110,116, - 101,114,95,95,46,0,0,0,115,2,0,0,0,0,1,122, + 101,114,95,95,46,0,0,0,243,2,0,0,0,0,1,122, 23,95,77,97,110,97,103,101,82,101,108,111,97,100,46,95, 95,101,110,116,101,114,95,95,99,1,0,0,0,0,0,0, 0,2,0,0,0,11,0,0,0,71,0,0,0,115,77,0, @@ -135,30 +135,30 @@ const unsigned char _Py_M__importlib[] = 113,3,0,100,0,0,83,41,1,78,114,10,0,0,0,41, 2,218,2,46,48,218,3,97,114,103,114,10,0,0,0,114, 10,0,0,0,114,11,0,0,0,250,9,60,103,101,110,101, - 120,112,114,62,50,0,0,0,115,2,0,0,0,6,0,122, + 120,112,114,62,50,0,0,0,243,2,0,0,0,6,0,122, 41,95,77,97,110,97,103,101,82,101,108,111,97,100,46,95, 95,101,120,105,116,95,95,46,60,108,111,99,97,108,115,62, 46,60,103,101,110,101,120,112,114,62,41,6,218,3,97,110, - 121,114,22,0,0,0,114,14,0,0,0,114,21,0,0,0, - 114,18,0,0,0,218,8,75,101,121,69,114,114,111,114,41, - 2,114,19,0,0,0,218,4,97,114,103,115,114,10,0,0, + 121,114,25,0,0,0,114,15,0,0,0,114,24,0,0,0, + 114,20,0,0,0,218,8,75,101,121,69,114,114,111,114,41, + 2,114,21,0,0,0,218,4,97,114,103,115,114,10,0,0, 0,114,10,0,0,0,114,11,0,0,0,218,8,95,95,101, - 120,105,116,95,95,49,0,0,0,115,10,0,0,0,0,1, + 120,105,116,95,95,49,0,0,0,243,10,0,0,0,0,1, 35,1,3,1,17,1,13,1,122,22,95,77,97,110,97,103, 101,82,101,108,111,97,100,46,95,95,101,120,105,116,95,95, 78,41,7,114,1,0,0,0,114,0,0,0,0,114,2,0, - 0,0,114,3,0,0,0,114,20,0,0,0,114,23,0,0, - 0,114,30,0,0,0,114,10,0,0,0,114,10,0,0,0, - 114,10,0,0,0,114,11,0,0,0,114,17,0,0,0,39, - 0,0,0,115,8,0,0,0,12,2,6,2,12,3,12,3, - 114,17,0,0,0,99,0,0,0,0,0,0,0,0,0,0, + 0,0,114,3,0,0,0,114,22,0,0,0,114,26,0,0, + 0,114,35,0,0,0,114,10,0,0,0,114,10,0,0,0, + 114,10,0,0,0,114,11,0,0,0,114,19,0,0,0,39, + 0,0,0,243,8,0,0,0,12,2,6,2,12,3,12,3, + 114,19,0,0,0,99,0,0,0,0,0,0,0,0,0,0, 0,0,1,0,0,0,64,0,0,0,115,16,0,0,0,101, 0,0,90,1,0,100,0,0,90,2,0,100,1,0,83,41, 2,218,14,95,68,101,97,100,108,111,99,107,69,114,114,111, 114,78,41,3,114,1,0,0,0,114,0,0,0,0,114,2, 0,0,0,114,10,0,0,0,114,10,0,0,0,114,10,0, - 0,0,114,11,0,0,0,114,31,0,0,0,64,0,0,0, - 115,2,0,0,0,12,1,114,31,0,0,0,99,0,0,0, + 0,0,114,11,0,0,0,114,38,0,0,0,64,0,0,0, + 243,2,0,0,0,12,1,114,38,0,0,0,99,0,0,0, 0,0,0,0,0,0,0,0,0,2,0,0,0,64,0,0, 0,115,82,0,0,0,101,0,0,90,1,0,100,0,0,90, 2,0,100,1,0,90,3,0,100,2,0,100,3,0,132,0, @@ -186,11 +186,11 @@ const unsigned char _Py_M__importlib[] = 0,83,41,2,78,233,0,0,0,0,41,8,218,7,95,116, 104,114,101,97,100,90,13,97,108,108,111,99,97,116,101,95, 108,111,99,107,218,4,108,111,99,107,218,6,119,97,107,101, - 117,112,114,15,0,0,0,218,5,111,119,110,101,114,218,5, + 117,112,114,16,0,0,0,218,5,111,119,110,101,114,218,5, 99,111,117,110,116,218,7,119,97,105,116,101,114,115,41,2, - 114,19,0,0,0,114,15,0,0,0,114,10,0,0,0,114, - 10,0,0,0,114,11,0,0,0,114,20,0,0,0,74,0, - 0,0,115,12,0,0,0,0,1,15,1,15,1,9,1,9, + 114,21,0,0,0,114,16,0,0,0,114,10,0,0,0,114, + 10,0,0,0,114,11,0,0,0,114,22,0,0,0,74,0, + 0,0,243,12,0,0,0,0,1,15,1,15,1,9,1,9, 1,9,1,122,20,95,77,111,100,117,108,101,76,111,99,107, 46,95,95,105,110,105,116,95,95,99,1,0,0,0,0,0, 0,0,4,0,0,0,2,0,0,0,67,0,0,0,115,88, @@ -200,13 +200,13 @@ const unsigned char _Py_M__importlib[] = 107,8,0,114,55,0,100,1,0,83,124,3,0,106,2,0, 125,2,0,124,2,0,124,1,0,107,2,0,114,24,0,100, 2,0,83,113,24,0,87,100,0,0,83,41,3,78,70,84, - 41,5,114,34,0,0,0,218,9,103,101,116,95,105,100,101, - 110,116,114,37,0,0,0,218,12,95,98,108,111,99,107,105, - 110,103,95,111,110,218,3,103,101,116,41,4,114,19,0,0, - 0,90,2,109,101,218,3,116,105,100,114,35,0,0,0,114, + 41,5,114,42,0,0,0,218,9,103,101,116,95,105,100,101, + 110,116,114,45,0,0,0,218,12,95,98,108,111,99,107,105, + 110,103,95,111,110,218,3,103,101,116,41,4,114,21,0,0, + 0,90,2,109,101,218,3,116,105,100,114,43,0,0,0,114, 10,0,0,0,114,10,0,0,0,114,11,0,0,0,218,12, 104,97,115,95,100,101,97,100,108,111,99,107,82,0,0,0, - 115,18,0,0,0,0,2,12,1,9,1,3,1,15,1,12, + 243,18,0,0,0,0,2,12,1,9,1,3,1,15,1,12, 1,4,1,9,1,12,1,122,24,95,77,111,100,117,108,101, 76,111,99,107,46,104,97,115,95,100,101,97,100,108,111,99, 107,99,1,0,0,0,0,0,0,0,2,0,0,0,16,0, @@ -235,16 +235,16 @@ const unsigned char _Py_M__importlib[] = 116,104,101,32,108,111,99,107,32,105,115,32,97,108,119,97, 121,115,32,97,99,113,117,105,114,101,100,32,97,110,100,32, 84,114,117,101,32,105,115,32,114,101,116,117,114,110,101,100, - 46,10,32,32,32,32,32,32,32,32,114,33,0,0,0,233, + 46,10,32,32,32,32,32,32,32,32,114,41,0,0,0,233, 1,0,0,0,84,122,23,100,101,97,100,108,111,99,107,32, 100,101,116,101,99,116,101,100,32,98,121,32,37,114,70,78, - 41,12,114,34,0,0,0,114,40,0,0,0,114,41,0,0, - 0,114,35,0,0,0,114,38,0,0,0,114,37,0,0,0, - 114,44,0,0,0,114,31,0,0,0,114,36,0,0,0,218, - 7,97,99,113,117,105,114,101,114,39,0,0,0,218,7,114, - 101,108,101,97,115,101,41,2,114,19,0,0,0,114,43,0, + 41,12,114,42,0,0,0,114,49,0,0,0,114,50,0,0, + 0,114,43,0,0,0,114,46,0,0,0,114,45,0,0,0, + 114,53,0,0,0,114,38,0,0,0,114,44,0,0,0,218, + 7,97,99,113,117,105,114,101,114,47,0,0,0,218,7,114, + 101,108,101,97,115,101,41,2,114,21,0,0,0,114,52,0, 0,0,114,10,0,0,0,114,10,0,0,0,114,11,0,0, - 0,114,46,0,0,0,94,0,0,0,115,32,0,0,0,0, + 0,114,56,0,0,0,94,0,0,0,243,32,0,0,0,0, 6,12,1,10,1,3,1,3,1,10,1,30,1,9,1,15, 1,4,1,12,1,16,1,18,1,22,2,13,1,21,2,122, 19,95,77,111,100,117,108,101,76,111,99,107,46,97,99,113, @@ -262,14 +262,14 @@ const unsigned char _Py_M__importlib[] = 87,100,0,0,81,82,88,100,0,0,83,41,4,78,122,31, 99,97,110,110,111,116,32,114,101,108,101,97,115,101,32,117, 110,45,97,99,113,117,105,114,101,100,32,108,111,99,107,114, - 33,0,0,0,114,45,0,0,0,41,10,114,34,0,0,0, - 114,40,0,0,0,114,35,0,0,0,114,37,0,0,0,218, - 12,82,117,110,116,105,109,101,69,114,114,111,114,114,38,0, + 41,0,0,0,114,55,0,0,0,41,10,114,42,0,0,0, + 114,49,0,0,0,114,43,0,0,0,114,45,0,0,0,218, + 12,82,117,110,116,105,109,101,69,114,114,111,114,114,46,0, 0,0,218,14,65,115,115,101,114,116,105,111,110,69,114,114, - 111,114,114,39,0,0,0,114,36,0,0,0,114,47,0,0, - 0,41,2,114,19,0,0,0,114,43,0,0,0,114,10,0, - 0,0,114,10,0,0,0,114,11,0,0,0,114,47,0,0, - 0,119,0,0,0,115,22,0,0,0,0,1,12,1,10,1, + 111,114,114,47,0,0,0,114,44,0,0,0,114,57,0,0, + 0,41,2,114,21,0,0,0,114,52,0,0,0,114,10,0, + 0,0,114,10,0,0,0,114,11,0,0,0,114,57,0,0, + 0,119,0,0,0,243,22,0,0,0,0,1,12,1,10,1, 15,1,12,1,21,1,15,1,15,1,9,1,9,1,15,1, 122,19,95,77,111,100,117,108,101,76,111,99,107,46,114,101, 108,101,97,115,101,99,1,0,0,0,0,0,0,0,1,0, @@ -277,18 +277,18 @@ const unsigned char _Py_M__importlib[] = 1,0,106,0,0,124,0,0,106,1,0,116,2,0,124,0, 0,131,1,0,131,2,0,83,41,2,78,122,23,95,77,111, 100,117,108,101,76,111,99,107,40,123,33,114,125,41,32,97, - 116,32,123,125,41,3,218,6,102,111,114,109,97,116,114,15, - 0,0,0,218,2,105,100,41,1,114,19,0,0,0,114,10, + 116,32,123,125,41,3,218,6,102,111,114,109,97,116,114,16, + 0,0,0,218,2,105,100,41,1,114,21,0,0,0,114,10, 0,0,0,114,10,0,0,0,114,11,0,0,0,218,8,95, - 95,114,101,112,114,95,95,132,0,0,0,115,2,0,0,0, + 95,114,101,112,114,95,95,132,0,0,0,243,2,0,0,0, 0,1,122,20,95,77,111,100,117,108,101,76,111,99,107,46, 95,95,114,101,112,114,95,95,78,41,9,114,1,0,0,0, 114,0,0,0,0,114,2,0,0,0,114,3,0,0,0,114, - 20,0,0,0,114,44,0,0,0,114,46,0,0,0,114,47, - 0,0,0,114,52,0,0,0,114,10,0,0,0,114,10,0, - 0,0,114,10,0,0,0,114,11,0,0,0,114,32,0,0, - 0,68,0,0,0,115,12,0,0,0,12,4,6,2,12,8, - 12,12,12,25,12,13,114,32,0,0,0,99,0,0,0,0, + 22,0,0,0,114,53,0,0,0,114,56,0,0,0,114,57, + 0,0,0,114,64,0,0,0,114,10,0,0,0,114,10,0, + 0,0,114,10,0,0,0,114,11,0,0,0,114,40,0,0, + 0,68,0,0,0,243,12,0,0,0,12,4,6,2,12,8, + 12,12,12,25,12,13,114,40,0,0,0,99,0,0,0,0, 0,0,0,0,0,0,0,0,2,0,0,0,64,0,0,0, 115,70,0,0,0,101,0,0,90,1,0,100,0,0,90,2, 0,100,1,0,90,3,0,100,2,0,100,3,0,132,0,0, @@ -304,49 +304,49 @@ const unsigned char _Py_M__importlib[] = 117,112,112,111,114,116,46,99,2,0,0,0,0,0,0,0, 2,0,0,0,2,0,0,0,67,0,0,0,115,22,0,0, 0,124,1,0,124,0,0,95,0,0,100,1,0,124,0,0, - 95,1,0,100,0,0,83,41,2,78,114,33,0,0,0,41, - 2,114,15,0,0,0,114,38,0,0,0,41,2,114,19,0, - 0,0,114,15,0,0,0,114,10,0,0,0,114,10,0,0, - 0,114,11,0,0,0,114,20,0,0,0,140,0,0,0,115, + 95,1,0,100,0,0,83,41,2,78,114,41,0,0,0,41, + 2,114,16,0,0,0,114,46,0,0,0,41,2,114,21,0, + 0,0,114,16,0,0,0,114,10,0,0,0,114,10,0,0, + 0,114,11,0,0,0,114,22,0,0,0,140,0,0,0,243, 4,0,0,0,0,1,9,1,122,25,95,68,117,109,109,121, 77,111,100,117,108,101,76,111,99,107,46,95,95,105,110,105, 116,95,95,99,1,0,0,0,0,0,0,0,1,0,0,0, 3,0,0,0,67,0,0,0,115,19,0,0,0,124,0,0, 4,106,0,0,100,1,0,55,2,95,0,0,100,2,0,83, - 41,3,78,114,45,0,0,0,84,41,1,114,38,0,0,0, - 41,1,114,19,0,0,0,114,10,0,0,0,114,10,0,0, - 0,114,11,0,0,0,114,46,0,0,0,144,0,0,0,115, + 41,3,78,114,55,0,0,0,84,41,1,114,46,0,0,0, + 41,1,114,21,0,0,0,114,10,0,0,0,114,10,0,0, + 0,114,11,0,0,0,114,56,0,0,0,144,0,0,0,243, 4,0,0,0,0,1,15,1,122,24,95,68,117,109,109,121, 77,111,100,117,108,101,76,111,99,107,46,97,99,113,117,105, 114,101,99,1,0,0,0,0,0,0,0,1,0,0,0,3, 0,0,0,67,0,0,0,115,46,0,0,0,124,0,0,106, 0,0,100,1,0,107,2,0,114,27,0,116,1,0,100,2, 0,131,1,0,130,1,0,124,0,0,4,106,0,0,100,3, - 0,56,2,95,0,0,100,0,0,83,41,4,78,114,33,0, + 0,56,2,95,0,0,100,0,0,83,41,4,78,114,41,0, 0,0,122,31,99,97,110,110,111,116,32,114,101,108,101,97, 115,101,32,117,110,45,97,99,113,117,105,114,101,100,32,108, - 111,99,107,114,45,0,0,0,41,2,114,38,0,0,0,114, - 48,0,0,0,41,1,114,19,0,0,0,114,10,0,0,0, - 114,10,0,0,0,114,11,0,0,0,114,47,0,0,0,148, - 0,0,0,115,6,0,0,0,0,1,15,1,12,1,122,24, + 111,99,107,114,55,0,0,0,41,2,114,46,0,0,0,114, + 59,0,0,0,41,1,114,21,0,0,0,114,10,0,0,0, + 114,10,0,0,0,114,11,0,0,0,114,57,0,0,0,148, + 0,0,0,243,6,0,0,0,0,1,15,1,12,1,122,24, 95,68,117,109,109,121,77,111,100,117,108,101,76,111,99,107, 46,114,101,108,101,97,115,101,99,1,0,0,0,0,0,0, 0,1,0,0,0,4,0,0,0,67,0,0,0,115,25,0, 0,0,100,1,0,106,0,0,124,0,0,106,1,0,116,2, 0,124,0,0,131,1,0,131,2,0,83,41,2,78,122,28, 95,68,117,109,109,121,77,111,100,117,108,101,76,111,99,107, - 40,123,33,114,125,41,32,97,116,32,123,125,41,3,114,50, - 0,0,0,114,15,0,0,0,114,51,0,0,0,41,1,114, - 19,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11, - 0,0,0,114,52,0,0,0,153,0,0,0,115,2,0,0, + 40,123,33,114,125,41,32,97,116,32,123,125,41,3,114,62, + 0,0,0,114,16,0,0,0,114,63,0,0,0,41,1,114, + 21,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11, + 0,0,0,114,64,0,0,0,153,0,0,0,243,2,0,0, 0,0,1,122,25,95,68,117,109,109,121,77,111,100,117,108, 101,76,111,99,107,46,95,95,114,101,112,114,95,95,78,41, 8,114,1,0,0,0,114,0,0,0,0,114,2,0,0,0, - 114,3,0,0,0,114,20,0,0,0,114,46,0,0,0,114, - 47,0,0,0,114,52,0,0,0,114,10,0,0,0,114,10, - 0,0,0,114,10,0,0,0,114,11,0,0,0,114,53,0, - 0,0,136,0,0,0,115,10,0,0,0,12,2,6,2,12, - 4,12,4,12,5,114,53,0,0,0,99,0,0,0,0,0, + 114,3,0,0,0,114,22,0,0,0,114,56,0,0,0,114, + 57,0,0,0,114,64,0,0,0,114,10,0,0,0,114,10, + 0,0,0,114,10,0,0,0,114,11,0,0,0,114,67,0, + 0,0,136,0,0,0,243,10,0,0,0,12,2,6,2,12, + 4,12,4,12,5,114,67,0,0,0,99,0,0,0,0,0, 0,0,0,0,0,0,0,2,0,0,0,64,0,0,0,115, 52,0,0,0,101,0,0,90,1,0,100,0,0,90,2,0, 100,1,0,100,2,0,132,0,0,90,3,0,100,3,0,100, @@ -356,10 +356,10 @@ const unsigned char _Py_M__importlib[] = 0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,67, 0,0,0,115,22,0,0,0,124,1,0,124,0,0,95,0, 0,100,0,0,124,0,0,95,1,0,100,0,0,83,41,1, - 78,41,2,114,18,0,0,0,218,5,95,108,111,99,107,41, - 2,114,19,0,0,0,114,15,0,0,0,114,10,0,0,0, - 114,10,0,0,0,114,11,0,0,0,114,20,0,0,0,159, - 0,0,0,115,4,0,0,0,0,1,9,1,122,27,95,77, + 78,41,2,114,20,0,0,0,218,5,95,108,111,99,107,41, + 2,114,21,0,0,0,114,16,0,0,0,114,10,0,0,0, + 114,10,0,0,0,114,11,0,0,0,114,22,0,0,0,159, + 0,0,0,243,4,0,0,0,0,1,9,1,122,27,95,77, 111,100,117,108,101,76,111,99,107,77,97,110,97,103,101,114, 46,95,95,105,110,105,116,95,95,99,1,0,0,0,0,0, 0,0,1,0,0,0,10,0,0,0,67,0,0,0,115,53, @@ -368,27 +368,27 @@ const unsigned char _Py_M__importlib[] = 4,0,131,0,0,1,88,124,0,0,106,2,0,106,5,0, 131,0,0,1,100,0,0,83,41,1,78,41,6,218,16,95, 103,101,116,95,109,111,100,117,108,101,95,108,111,99,107,114, - 18,0,0,0,114,55,0,0,0,218,4,95,105,109,112,218, - 12,114,101,108,101,97,115,101,95,108,111,99,107,114,46,0, - 0,0,41,1,114,19,0,0,0,114,10,0,0,0,114,10, - 0,0,0,114,11,0,0,0,114,23,0,0,0,163,0,0, - 0,115,8,0,0,0,0,1,3,1,22,2,11,1,122,28, + 20,0,0,0,114,74,0,0,0,218,4,95,105,109,112,218, + 12,114,101,108,101,97,115,101,95,108,111,99,107,114,56,0, + 0,0,41,1,114,21,0,0,0,114,10,0,0,0,114,10, + 0,0,0,114,11,0,0,0,114,26,0,0,0,163,0,0, + 0,243,8,0,0,0,0,1,3,1,22,2,11,1,122,28, 95,77,111,100,117,108,101,76,111,99,107,77,97,110,97,103, 101,114,46,95,95,101,110,116,101,114,95,95,99,1,0,0, 0,0,0,0,0,3,0,0,0,1,0,0,0,79,0,0, 0,115,17,0,0,0,124,0,0,106,0,0,106,1,0,131, - 0,0,1,100,0,0,83,41,1,78,41,2,114,55,0,0, - 0,114,47,0,0,0,41,3,114,19,0,0,0,114,29,0, + 0,0,1,100,0,0,83,41,1,78,41,2,114,74,0,0, + 0,114,57,0,0,0,41,3,114,21,0,0,0,114,34,0, 0,0,90,6,107,119,97,114,103,115,114,10,0,0,0,114, - 10,0,0,0,114,11,0,0,0,114,30,0,0,0,170,0, - 0,0,115,2,0,0,0,0,1,122,27,95,77,111,100,117, + 10,0,0,0,114,11,0,0,0,114,35,0,0,0,170,0, + 0,0,243,2,0,0,0,0,1,122,27,95,77,111,100,117, 108,101,76,111,99,107,77,97,110,97,103,101,114,46,95,95, 101,120,105,116,95,95,78,41,6,114,1,0,0,0,114,0, - 0,0,0,114,2,0,0,0,114,20,0,0,0,114,23,0, - 0,0,114,30,0,0,0,114,10,0,0,0,114,10,0,0, - 0,114,10,0,0,0,114,11,0,0,0,114,54,0,0,0, - 157,0,0,0,115,6,0,0,0,12,2,12,4,12,7,114, - 54,0,0,0,99,1,0,0,0,0,0,0,0,3,0,0, + 0,0,0,114,2,0,0,0,114,22,0,0,0,114,26,0, + 0,0,114,35,0,0,0,114,10,0,0,0,114,10,0,0, + 0,114,10,0,0,0,114,11,0,0,0,114,73,0,0,0, + 157,0,0,0,243,6,0,0,0,12,2,12,4,12,7,114, + 73,0,0,0,99,1,0,0,0,0,0,0,0,3,0,0, 0,11,0,0,0,3,0,0,0,115,139,0,0,0,100,1, 0,125,1,0,121,17,0,116,0,0,136,0,0,25,131,0, 0,125,1,0,87,110,18,0,4,116,1,0,107,10,0,114, @@ -409,18 +409,18 @@ const unsigned char _Py_M__importlib[] = 0,0,0,0,1,0,0,0,2,0,0,0,19,0,0,0, 115,11,0,0,0,116,0,0,136,0,0,61,100,0,0,83, 41,1,78,41,1,218,13,95,109,111,100,117,108,101,95,108, - 111,99,107,115,41,1,218,1,95,41,1,114,15,0,0,0, + 111,99,107,115,41,1,218,1,95,41,1,114,16,0,0,0, 114,10,0,0,0,114,11,0,0,0,218,2,99,98,190,0, - 0,0,115,2,0,0,0,0,1,122,28,95,103,101,116,95, + 0,0,243,2,0,0,0,0,1,122,28,95,103,101,116,95, 109,111,100,117,108,101,95,108,111,99,107,46,60,108,111,99, - 97,108,115,62,46,99,98,41,7,114,59,0,0,0,114,28, - 0,0,0,114,34,0,0,0,114,53,0,0,0,114,32,0, + 97,108,115,62,46,99,98,41,7,114,82,0,0,0,114,33, + 0,0,0,114,42,0,0,0,114,67,0,0,0,114,40,0, 0,0,218,8,95,119,101,97,107,114,101,102,90,3,114,101, - 102,41,3,114,15,0,0,0,114,35,0,0,0,114,61,0, - 0,0,114,10,0,0,0,41,1,114,15,0,0,0,114,11, - 0,0,0,114,56,0,0,0,176,0,0,0,115,24,0,0, + 102,41,3,114,16,0,0,0,114,43,0,0,0,114,84,0, + 0,0,114,10,0,0,0,41,1,114,16,0,0,0,114,11, + 0,0,0,114,76,0,0,0,176,0,0,0,243,24,0,0, 0,0,4,6,1,3,1,17,1,13,1,5,1,12,1,12, - 1,15,2,12,1,18,2,22,1,114,56,0,0,0,99,1, + 1,15,2,12,1,18,2,22,1,114,76,0,0,0,99,1, 0,0,0,0,0,0,0,2,0,0,0,11,0,0,0,67, 0,0,0,115,71,0,0,0,116,0,0,124,0,0,131,1, 0,125,1,0,116,1,0,106,2,0,131,0,0,1,121,14, @@ -444,14 +444,14 @@ const unsigned char _Py_M__importlib[] = 101,97,100,46,10,10,32,32,32,32,83,104,111,117,108,100, 32,111,110,108,121,32,98,101,32,99,97,108,108,101,100,32, 119,105,116,104,32,116,104,101,32,105,109,112,111,114,116,32, - 108,111,99,107,32,116,97,107,101,110,46,78,41,6,114,56, - 0,0,0,114,57,0,0,0,114,58,0,0,0,114,46,0, - 0,0,114,31,0,0,0,114,47,0,0,0,41,2,114,15, - 0,0,0,114,35,0,0,0,114,10,0,0,0,114,10,0, + 108,111,99,107,32,116,97,107,101,110,46,78,41,6,114,76, + 0,0,0,114,77,0,0,0,114,78,0,0,0,114,56,0, + 0,0,114,38,0,0,0,114,57,0,0,0,41,2,114,16, + 0,0,0,114,43,0,0,0,114,10,0,0,0,114,10,0, 0,0,114,11,0,0,0,218,19,95,108,111,99,107,95,117, 110,108,111,99,107,95,109,111,100,117,108,101,195,0,0,0, - 115,14,0,0,0,0,7,12,1,10,1,3,1,14,1,13, - 3,5,2,114,63,0,0,0,99,1,0,0,0,0,0,0, + 243,14,0,0,0,0,7,12,1,10,1,3,1,14,1,13, + 3,5,2,114,88,0,0,0,99,1,0,0,0,0,0,0, 0,3,0,0,0,3,0,0,0,79,0,0,0,115,13,0, 0,0,124,0,0,124,1,0,124,2,0,142,0,0,83,41, 1,97,46,1,0,0,114,101,109,111,118,101,95,105,109,112, @@ -473,12 +473,12 @@ const unsigned char _Py_M__importlib[] = 116,114,97,99,101,98,97,99,107,32,40,101,46,103,46,32, 119,104,101,110,32,101,120,101,99,117,116,105,110,103,10,32, 32,32,32,109,111,100,117,108,101,32,99,111,100,101,41,10, - 32,32,32,32,114,10,0,0,0,41,3,218,1,102,114,29, + 32,32,32,32,114,10,0,0,0,41,3,218,1,102,114,34, 0,0,0,90,4,107,119,100,115,114,10,0,0,0,114,10, 0,0,0,114,11,0,0,0,218,25,95,99,97,108,108,95, 119,105,116,104,95,102,114,97,109,101,115,95,114,101,109,111, - 118,101,100,214,0,0,0,115,2,0,0,0,0,8,114,65, - 0,0,0,218,9,118,101,114,98,111,115,105,116,121,114,45, + 118,101,100,214,0,0,0,243,2,0,0,0,0,8,114,91, + 0,0,0,218,9,118,101,114,98,111,115,105,116,121,114,55, 0,0,0,99,1,0,0,0,1,0,0,0,3,0,0,0, 4,0,0,0,71,0,0,0,115,75,0,0,0,116,0,0, 106,1,0,106,2,0,124,1,0,107,5,0,114,71,0,124, @@ -491,15 +491,15 @@ const unsigned char _Py_M__importlib[] = 84,72,79,78,86,69,82,66,79,83,69,32,105,115,32,116, 117,114,110,101,100,32,111,110,46,250,1,35,250,7,105,109, 112,111,114,116,32,122,2,35,32,90,4,102,105,108,101,78, - 41,2,114,67,0,0,0,114,68,0,0,0,41,7,114,14, + 41,2,114,94,0,0,0,114,95,0,0,0,41,7,114,15, 0,0,0,218,5,102,108,97,103,115,218,7,118,101,114,98, 111,115,101,218,10,115,116,97,114,116,115,119,105,116,104,218, - 5,112,114,105,110,116,114,50,0,0,0,218,6,115,116,100, - 101,114,114,41,3,218,7,109,101,115,115,97,103,101,114,66, - 0,0,0,114,29,0,0,0,114,10,0,0,0,114,10,0, + 5,112,114,105,110,116,114,62,0,0,0,218,6,115,116,100, + 101,114,114,41,3,218,7,109,101,115,115,97,103,101,114,93, + 0,0,0,114,34,0,0,0,114,10,0,0,0,114,10,0, 0,0,114,11,0,0,0,218,16,95,118,101,114,98,111,115, - 101,95,109,101,115,115,97,103,101,225,0,0,0,115,8,0, - 0,0,0,2,18,1,15,1,10,1,114,75,0,0,0,99, + 101,95,109,101,115,115,97,103,101,225,0,0,0,243,8,0, + 0,0,0,2,18,1,15,1,10,1,114,102,0,0,0,99, 1,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0, 3,0,0,0,115,35,0,0,0,135,0,0,102,1,0,100, 1,0,100,2,0,134,0,0,125,1,0,116,0,0,124,1, @@ -514,23 +514,23 @@ const unsigned char _Py_M__importlib[] = 1,1,130,1,0,136,0,0,124,0,0,124,1,0,131,2, 0,83,41,3,78,122,29,123,33,114,125,32,105,115,32,110, 111,116,32,97,32,98,117,105,108,116,45,105,110,32,109,111, - 100,117,108,101,114,15,0,0,0,41,4,114,14,0,0,0, + 100,117,108,101,114,16,0,0,0,41,4,114,15,0,0,0, 218,20,98,117,105,108,116,105,110,95,109,111,100,117,108,101, 95,110,97,109,101,115,218,11,73,109,112,111,114,116,69,114, - 114,111,114,114,50,0,0,0,41,2,114,19,0,0,0,218, + 114,111,114,114,62,0,0,0,41,2,114,21,0,0,0,218, 8,102,117,108,108,110,97,109,101,41,1,218,3,102,120,110, 114,10,0,0,0,114,11,0,0,0,218,25,95,114,101,113, 117,105,114,101,115,95,98,117,105,108,116,105,110,95,119,114, - 97,112,112,101,114,235,0,0,0,115,8,0,0,0,0,1, + 97,112,112,101,114,235,0,0,0,243,8,0,0,0,0,1, 15,1,18,1,9,1,122,52,95,114,101,113,117,105,114,101, 115,95,98,117,105,108,116,105,110,46,60,108,111,99,97,108, 115,62,46,95,114,101,113,117,105,114,101,115,95,98,117,105, 108,116,105,110,95,119,114,97,112,112,101,114,41,1,114,12, - 0,0,0,41,2,114,79,0,0,0,114,80,0,0,0,114, - 10,0,0,0,41,1,114,79,0,0,0,114,11,0,0,0, + 0,0,0,41,2,114,107,0,0,0,114,108,0,0,0,114, + 10,0,0,0,41,1,114,107,0,0,0,114,11,0,0,0, 218,17,95,114,101,113,117,105,114,101,115,95,98,117,105,108, - 116,105,110,233,0,0,0,115,6,0,0,0,0,2,18,5, - 13,1,114,81,0,0,0,99,1,0,0,0,0,0,0,0, + 116,105,110,233,0,0,0,243,6,0,0,0,0,2,18,5, + 13,1,114,110,0,0,0,99,1,0,0,0,0,0,0,0, 2,0,0,0,3,0,0,0,3,0,0,0,115,35,0,0, 0,135,0,0,102,1,0,100,1,0,100,2,0,134,0,0, 125,1,0,116,0,0,124,1,0,136,0,0,131,2,0,1, @@ -544,21 +544,21 @@ const unsigned char _Py_M__importlib[] = 2,0,124,1,0,131,1,1,130,1,0,136,0,0,124,0, 0,124,1,0,131,2,0,83,41,3,78,122,27,123,33,114, 125,32,105,115,32,110,111,116,32,97,32,102,114,111,122,101, - 110,32,109,111,100,117,108,101,114,15,0,0,0,41,4,114, - 57,0,0,0,218,9,105,115,95,102,114,111,122,101,110,114, - 77,0,0,0,114,50,0,0,0,41,2,114,19,0,0,0, - 114,78,0,0,0,41,1,114,79,0,0,0,114,10,0,0, + 110,32,109,111,100,117,108,101,114,16,0,0,0,41,4,114, + 77,0,0,0,218,9,105,115,95,102,114,111,122,101,110,114, + 105,0,0,0,114,62,0,0,0,41,2,114,21,0,0,0, + 114,106,0,0,0,41,1,114,107,0,0,0,114,10,0,0, 0,114,11,0,0,0,218,24,95,114,101,113,117,105,114,101, 115,95,102,114,111,122,101,110,95,119,114,97,112,112,101,114, - 246,0,0,0,115,8,0,0,0,0,1,15,1,18,1,9, + 246,0,0,0,243,8,0,0,0,0,1,15,1,18,1,9, 1,122,50,95,114,101,113,117,105,114,101,115,95,102,114,111, 122,101,110,46,60,108,111,99,97,108,115,62,46,95,114,101, 113,117,105,114,101,115,95,102,114,111,122,101,110,95,119,114, - 97,112,112,101,114,41,1,114,12,0,0,0,41,2,114,79, - 0,0,0,114,83,0,0,0,114,10,0,0,0,41,1,114, - 79,0,0,0,114,11,0,0,0,218,16,95,114,101,113,117, - 105,114,101,115,95,102,114,111,122,101,110,244,0,0,0,115, - 6,0,0,0,0,2,18,5,13,1,114,84,0,0,0,99, + 97,112,112,101,114,41,1,114,12,0,0,0,41,2,114,107, + 0,0,0,114,113,0,0,0,114,10,0,0,0,41,1,114, + 107,0,0,0,114,11,0,0,0,218,16,95,114,101,113,117, + 105,114,101,115,95,102,114,111,122,101,110,244,0,0,0,243, + 6,0,0,0,0,2,18,5,13,1,114,115,0,0,0,99, 2,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0, 67,0,0,0,115,81,0,0,0,116,0,0,124,1,0,124, 0,0,131,2,0,125,2,0,124,1,0,116,1,0,106,2, @@ -575,13 +575,13 @@ const unsigned char _Py_M__importlib[] = 100,101,114,46,101,120,101,99,95,109,111,100,117,108,101,32, 105,110,115,116,101,97,100,46,10,10,32,32,32,32,78,41, 5,218,16,115,112,101,99,95,102,114,111,109,95,108,111,97, - 100,101,114,114,14,0,0,0,114,21,0,0,0,218,5,95, - 101,120,101,99,218,5,95,108,111,97,100,41,4,114,19,0, - 0,0,114,78,0,0,0,218,4,115,112,101,99,218,6,109, + 100,101,114,114,15,0,0,0,114,24,0,0,0,218,5,95, + 101,120,101,99,218,5,95,108,111,97,100,41,4,114,21,0, + 0,0,114,106,0,0,0,218,4,115,112,101,99,218,6,109, 111,100,117,108,101,114,10,0,0,0,114,10,0,0,0,114, 11,0,0,0,218,17,95,108,111,97,100,95,109,111,100,117, - 108,101,95,115,104,105,109,0,1,0,0,115,12,0,0,0, - 0,6,15,1,15,1,13,1,13,1,11,2,114,90,0,0, + 108,101,95,115,104,105,109,0,1,0,0,243,12,0,0,0, + 0,6,15,1,15,1,13,1,13,1,11,2,114,122,0,0, 0,99,1,0,0,0,0,0,0,0,5,0,0,0,35,0, 0,0,67,0,0,0,115,6,1,0,0,116,0,0,124,0, 0,100,1,0,100,0,0,131,3,0,125,1,0,116,1,0, @@ -606,20 +606,20 @@ const unsigned char _Py_M__importlib[] = 20,60,109,111,100,117,108,101,32,123,33,114,125,32,40,123, 33,114,125,41,62,122,23,60,109,111,100,117,108,101,32,123, 33,114,125,32,102,114,111,109,32,123,33,114,125,62,41,10, - 114,6,0,0,0,114,4,0,0,0,114,92,0,0,0,218, + 114,6,0,0,0,114,4,0,0,0,114,125,0,0,0,218, 9,69,120,99,101,112,116,105,111,110,218,8,95,95,115,112, 101,99,95,95,218,14,65,116,116,114,105,98,117,116,101,69, 114,114,111,114,218,22,95,109,111,100,117,108,101,95,114,101, 112,114,95,102,114,111,109,95,115,112,101,99,114,1,0,0, - 0,218,8,95,95,102,105,108,101,95,95,114,50,0,0,0, - 41,5,114,89,0,0,0,218,6,108,111,97,100,101,114,114, - 88,0,0,0,114,15,0,0,0,218,8,102,105,108,101,110, + 0,218,8,95,95,102,105,108,101,95,95,114,62,0,0,0, + 41,5,114,121,0,0,0,218,6,108,111,97,100,101,114,114, + 120,0,0,0,114,16,0,0,0,218,8,102,105,108,101,110, 97,109,101,114,10,0,0,0,114,10,0,0,0,114,11,0, 0,0,218,12,95,109,111,100,117,108,101,95,114,101,112,114, - 16,1,0,0,115,46,0,0,0,0,2,18,1,15,4,3, + 16,1,0,0,243,46,0,0,0,0,2,18,1,15,4,3, 1,17,1,13,1,5,1,3,1,13,1,13,1,5,2,12, 1,10,4,3,1,13,1,13,1,11,1,3,1,13,1,13, - 1,12,1,13,2,21,2,114,101,0,0,0,99,0,0,0, + 1,12,1,13,2,21,2,114,134,0,0,0,99,0,0,0, 0,0,0,0,0,0,0,0,0,2,0,0,0,64,0,0, 0,115,52,0,0,0,101,0,0,90,1,0,100,0,0,90, 2,0,100,1,0,100,2,0,132,0,0,90,3,0,100,3, @@ -630,21 +630,21 @@ const unsigned char _Py_M__importlib[] = 67,0,0,0,115,25,0,0,0,124,1,0,124,0,0,95, 0,0,124,1,0,106,1,0,124,0,0,95,2,0,100,0, 0,83,41,1,78,41,3,218,7,95,109,111,100,117,108,101, - 114,95,0,0,0,218,5,95,115,112,101,99,41,2,114,19, - 0,0,0,114,89,0,0,0,114,10,0,0,0,114,10,0, - 0,0,114,11,0,0,0,114,20,0,0,0,54,1,0,0, - 115,4,0,0,0,0,1,9,1,122,26,95,105,110,115,116, + 114,128,0,0,0,218,5,95,115,112,101,99,41,2,114,21, + 0,0,0,114,121,0,0,0,114,10,0,0,0,114,10,0, + 0,0,114,11,0,0,0,114,22,0,0,0,54,1,0,0, + 243,4,0,0,0,0,1,9,1,122,26,95,105,110,115,116, 97,108,108,101,100,95,115,97,102,101,108,121,46,95,95,105, 110,105,116,95,95,99,1,0,0,0,0,0,0,0,1,0, 0,0,3,0,0,0,67,0,0,0,115,38,0,0,0,100, 1,0,124,0,0,106,0,0,95,1,0,124,0,0,106,2, 0,116,3,0,106,4,0,124,0,0,106,0,0,106,5,0, - 60,100,0,0,83,41,2,78,84,41,6,114,104,0,0,0, + 60,100,0,0,83,41,2,78,84,41,6,114,138,0,0,0, 218,13,95,105,110,105,116,105,97,108,105,122,105,110,103,114, - 103,0,0,0,114,14,0,0,0,114,21,0,0,0,114,15, - 0,0,0,41,1,114,19,0,0,0,114,10,0,0,0,114, - 10,0,0,0,114,11,0,0,0,114,23,0,0,0,58,1, - 0,0,115,4,0,0,0,0,4,12,1,122,27,95,105,110, + 137,0,0,0,114,15,0,0,0,114,24,0,0,0,114,16, + 0,0,0,41,1,114,21,0,0,0,114,10,0,0,0,114, + 10,0,0,0,114,11,0,0,0,114,26,0,0,0,58,1, + 0,0,243,4,0,0,0,0,4,12,1,122,27,95,105,110, 115,116,97,108,108,101,100,95,115,97,102,101,108,121,46,95, 95,101,110,116,101,114,95,95,99,1,0,0,0,0,0,0, 0,3,0,0,0,17,0,0,0,71,0,0,0,115,121,0, @@ -659,27 +659,27 @@ const unsigned char _Py_M__importlib[] = 0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,115, 0,0,0,115,27,0,0,0,124,0,0,93,17,0,125,1, 0,124,1,0,100,0,0,107,9,0,86,1,113,3,0,100, - 0,0,83,41,1,78,114,10,0,0,0,41,2,114,24,0, - 0,0,114,25,0,0,0,114,10,0,0,0,114,10,0,0, - 0,114,11,0,0,0,114,26,0,0,0,68,1,0,0,115, + 0,0,83,41,1,78,114,10,0,0,0,41,2,114,28,0, + 0,0,114,29,0,0,0,114,10,0,0,0,114,10,0,0, + 0,114,11,0,0,0,114,30,0,0,0,68,1,0,0,243, 2,0,0,0,6,0,122,45,95,105,110,115,116,97,108,108, 101,100,95,115,97,102,101,108,121,46,95,95,101,120,105,116, 95,95,46,60,108,111,99,97,108,115,62,46,60,103,101,110, 101,120,112,114,62,122,18,105,109,112,111,114,116,32,123,33, - 114,125,32,35,32,123,33,114,125,70,41,9,114,104,0,0, - 0,114,27,0,0,0,114,14,0,0,0,114,21,0,0,0, - 114,15,0,0,0,114,28,0,0,0,114,75,0,0,0,114, - 99,0,0,0,114,105,0,0,0,41,3,114,19,0,0,0, - 114,29,0,0,0,114,88,0,0,0,114,10,0,0,0,114, - 10,0,0,0,114,11,0,0,0,114,30,0,0,0,65,1, - 0,0,115,18,0,0,0,0,1,3,1,9,1,25,1,3, + 114,125,32,35,32,123,33,114,125,70,41,9,114,138,0,0, + 0,114,32,0,0,0,114,15,0,0,0,114,24,0,0,0, + 114,16,0,0,0,114,33,0,0,0,114,102,0,0,0,114, + 132,0,0,0,114,140,0,0,0,41,3,114,21,0,0,0, + 114,34,0,0,0,114,120,0,0,0,114,10,0,0,0,114, + 10,0,0,0,114,11,0,0,0,114,35,0,0,0,65,1, + 0,0,243,18,0,0,0,0,1,3,1,9,1,25,1,3, 1,17,1,13,1,8,2,26,2,122,26,95,105,110,115,116, 97,108,108,101,100,95,115,97,102,101,108,121,46,95,95,101, 120,105,116,95,95,78,41,6,114,1,0,0,0,114,0,0, - 0,0,114,2,0,0,0,114,20,0,0,0,114,23,0,0, - 0,114,30,0,0,0,114,10,0,0,0,114,10,0,0,0, - 114,10,0,0,0,114,11,0,0,0,114,102,0,0,0,52, - 1,0,0,115,6,0,0,0,12,2,12,4,12,7,114,102, + 0,0,114,2,0,0,0,114,22,0,0,0,114,26,0,0, + 0,114,35,0,0,0,114,10,0,0,0,114,10,0,0,0, + 114,10,0,0,0,114,11,0,0,0,114,136,0,0,0,52, + 1,0,0,243,6,0,0,0,12,2,12,4,12,7,114,136, 0,0,0,99,0,0,0,0,0,0,0,0,0,0,0,0, 8,0,0,0,64,0,0,0,115,172,0,0,0,101,0,0, 90,1,0,100,0,0,90,2,0,100,1,0,90,3,0,100, @@ -795,15 +795,15 @@ const unsigned char _Py_M__importlib[] = 0,95,2,0,124,4,0,124,0,0,95,3,0,124,5,0, 114,48,0,103,0,0,110,3,0,100,0,0,124,0,0,95, 4,0,100,1,0,124,0,0,95,5,0,100,0,0,124,0, - 0,95,6,0,100,0,0,83,41,2,78,70,41,7,114,15, - 0,0,0,114,99,0,0,0,114,107,0,0,0,114,108,0, + 0,95,6,0,100,0,0,83,41,2,78,70,41,7,114,16, + 0,0,0,114,132,0,0,0,114,146,0,0,0,114,147,0, 0,0,218,26,115,117,98,109,111,100,117,108,101,95,115,101, 97,114,99,104,95,108,111,99,97,116,105,111,110,115,218,13, 95,115,101,116,95,102,105,108,101,97,116,116,114,218,7,95, - 99,97,99,104,101,100,41,6,114,19,0,0,0,114,15,0, - 0,0,114,99,0,0,0,114,107,0,0,0,114,108,0,0, - 0,114,109,0,0,0,114,10,0,0,0,114,10,0,0,0, - 114,11,0,0,0,114,20,0,0,0,116,1,0,0,115,14, + 99,97,99,104,101,100,41,6,114,21,0,0,0,114,16,0, + 0,0,114,132,0,0,0,114,146,0,0,0,114,147,0,0, + 0,114,148,0,0,0,114,10,0,0,0,114,10,0,0,0, + 114,11,0,0,0,114,22,0,0,0,116,1,0,0,243,14, 0,0,0,0,2,9,1,9,1,9,1,9,1,21,3,9, 1,122,19,77,111,100,117,108,101,83,112,101,99,46,95,95, 105,110,105,116,95,95,99,1,0,0,0,0,0,0,0,2, @@ -822,13 +822,13 @@ const unsigned char _Py_M__importlib[] = 111,114,105,103,105,110,61,123,33,114,125,122,29,115,117,98, 109,111,100,117,108,101,95,115,101,97,114,99,104,95,108,111, 99,97,116,105,111,110,115,61,123,125,122,6,123,125,40,123, - 125,41,122,2,44,32,41,9,114,50,0,0,0,114,15,0, - 0,0,114,99,0,0,0,114,107,0,0,0,218,6,97,112, - 112,101,110,100,114,110,0,0,0,218,9,95,95,99,108,97, + 125,41,122,2,44,32,41,9,114,62,0,0,0,114,16,0, + 0,0,114,132,0,0,0,114,146,0,0,0,218,6,97,112, + 112,101,110,100,114,149,0,0,0,218,9,95,95,99,108,97, 115,115,95,95,114,1,0,0,0,218,4,106,111,105,110,41, - 2,114,19,0,0,0,114,29,0,0,0,114,10,0,0,0, - 114,10,0,0,0,114,11,0,0,0,114,52,0,0,0,128, - 1,0,0,115,16,0,0,0,0,1,15,1,21,1,15,1, + 2,114,21,0,0,0,114,34,0,0,0,114,10,0,0,0, + 114,10,0,0,0,114,11,0,0,0,114,64,0,0,0,128, + 1,0,0,243,16,0,0,0,0,1,15,1,21,1,15,1, 25,1,15,1,12,1,13,1,122,19,77,111,100,117,108,101, 83,112,101,99,46,95,95,114,101,112,114,95,95,99,2,0, 0,0,0,0,0,0,3,0,0,0,11,0,0,0,67,0, @@ -841,13 +841,13 @@ const unsigned char _Py_M__importlib[] = 0,106,4,0,107,2,0,111,114,0,124,0,0,106,5,0, 124,1,0,106,5,0,107,2,0,83,87,110,22,0,4,116, 6,0,107,10,0,114,140,0,1,1,1,100,1,0,83,89, - 110,1,0,88,100,0,0,83,41,2,78,70,41,7,114,110, - 0,0,0,114,15,0,0,0,114,99,0,0,0,114,107,0, + 110,1,0,88,100,0,0,83,41,2,78,70,41,7,114,149, + 0,0,0,114,16,0,0,0,114,132,0,0,0,114,146,0, 0,0,218,6,99,97,99,104,101,100,218,12,104,97,115,95, - 108,111,99,97,116,105,111,110,114,96,0,0,0,41,3,114, - 19,0,0,0,90,5,111,116,104,101,114,90,4,115,109,115, + 108,111,99,97,116,105,111,110,114,129,0,0,0,41,3,114, + 21,0,0,0,90,5,111,116,104,101,114,90,4,115,109,115, 108,114,10,0,0,0,114,10,0,0,0,114,11,0,0,0, - 218,6,95,95,101,113,95,95,138,1,0,0,115,20,0,0, + 218,6,95,95,101,113,95,95,138,1,0,0,243,20,0,0, 0,0,1,9,1,3,1,18,1,18,1,18,1,15,1,18, 1,20,1,13,1,122,17,77,111,100,117,108,101,83,112,101, 99,46,95,95,101,113,95,95,99,1,0,0,0,0,0,0, @@ -857,21 +857,21 @@ const unsigned char _Py_M__importlib[] = 124,0,0,106,2,0,114,78,0,116,3,0,100,0,0,107, 8,0,114,57,0,116,4,0,130,1,0,116,3,0,106,5, 0,124,0,0,106,1,0,131,1,0,124,0,0,95,0,0, - 124,0,0,106,0,0,83,41,1,78,41,6,114,112,0,0, - 0,114,107,0,0,0,114,111,0,0,0,218,19,95,98,111, + 124,0,0,106,0,0,83,41,1,78,41,6,114,151,0,0, + 0,114,146,0,0,0,114,150,0,0,0,218,19,95,98,111, 111,116,115,116,114,97,112,95,101,120,116,101,114,110,97,108, 218,19,78,111,116,73,109,112,108,101,109,101,110,116,101,100, 69,114,114,111,114,90,11,95,103,101,116,95,99,97,99,104, - 101,100,41,1,114,19,0,0,0,114,10,0,0,0,114,10, - 0,0,0,114,11,0,0,0,114,116,0,0,0,150,1,0, - 0,115,12,0,0,0,0,2,15,1,24,1,12,1,6,1, + 101,100,41,1,114,21,0,0,0,114,10,0,0,0,114,10, + 0,0,0,114,11,0,0,0,114,157,0,0,0,150,1,0, + 0,243,12,0,0,0,0,2,15,1,24,1,12,1,6,1, 21,1,122,17,77,111,100,117,108,101,83,112,101,99,46,99, 97,99,104,101,100,99,2,0,0,0,0,0,0,0,2,0, 0,0,2,0,0,0,67,0,0,0,115,13,0,0,0,124, 1,0,124,0,0,95,0,0,100,0,0,83,41,1,78,41, - 1,114,112,0,0,0,41,2,114,19,0,0,0,114,116,0, + 1,114,151,0,0,0,41,2,114,21,0,0,0,114,157,0, 0,0,114,10,0,0,0,114,10,0,0,0,114,11,0,0, - 0,114,116,0,0,0,159,1,0,0,115,2,0,0,0,0, + 0,114,157,0,0,0,159,1,0,0,243,2,0,0,0,0, 2,99,1,0,0,0,0,0,0,0,1,0,0,0,2,0, 0,0,67,0,0,0,115,46,0,0,0,124,0,0,106,0, 0,100,1,0,107,8,0,114,35,0,124,0,0,106,1,0, @@ -879,34 +879,34 @@ const unsigned char _Py_M__importlib[] = 0,106,1,0,83,100,1,0,83,41,4,122,32,84,104,101, 32,110,97,109,101,32,111,102,32,116,104,101,32,109,111,100, 117,108,101,39,115,32,112,97,114,101,110,116,46,78,218,1, - 46,114,33,0,0,0,41,3,114,110,0,0,0,114,15,0, + 46,114,41,0,0,0,41,3,114,149,0,0,0,114,16,0, 0,0,218,10,114,112,97,114,116,105,116,105,111,110,41,1, - 114,19,0,0,0,114,10,0,0,0,114,10,0,0,0,114, + 114,21,0,0,0,114,10,0,0,0,114,10,0,0,0,114, 11,0,0,0,218,6,112,97,114,101,110,116,163,1,0,0, - 115,6,0,0,0,0,3,15,1,20,2,122,17,77,111,100, + 243,6,0,0,0,0,3,15,1,20,2,122,17,77,111,100, 117,108,101,83,112,101,99,46,112,97,114,101,110,116,99,1, 0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,67, 0,0,0,115,7,0,0,0,124,0,0,106,0,0,83,41, - 1,78,41,1,114,111,0,0,0,41,1,114,19,0,0,0, + 1,78,41,1,114,150,0,0,0,41,1,114,21,0,0,0, 114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,114, - 117,0,0,0,171,1,0,0,115,2,0,0,0,0,2,122, + 158,0,0,0,171,1,0,0,243,2,0,0,0,0,2,122, 23,77,111,100,117,108,101,83,112,101,99,46,104,97,115,95, 108,111,99,97,116,105,111,110,99,2,0,0,0,0,0,0, 0,2,0,0,0,2,0,0,0,67,0,0,0,115,19,0, 0,0,116,0,0,124,1,0,131,1,0,124,0,0,95,1, 0,100,0,0,83,41,1,78,41,2,218,4,98,111,111,108, - 114,111,0,0,0,41,2,114,19,0,0,0,218,5,118,97, + 114,150,0,0,0,41,2,114,21,0,0,0,218,5,118,97, 108,117,101,114,10,0,0,0,114,10,0,0,0,114,11,0, - 0,0,114,117,0,0,0,175,1,0,0,115,2,0,0,0, + 0,0,114,158,0,0,0,175,1,0,0,243,2,0,0,0, 0,2,41,12,114,1,0,0,0,114,0,0,0,0,114,2, - 0,0,0,114,3,0,0,0,114,20,0,0,0,114,52,0, - 0,0,114,118,0,0,0,218,8,112,114,111,112,101,114,116, - 121,114,116,0,0,0,218,6,115,101,116,116,101,114,114,123, - 0,0,0,114,117,0,0,0,114,10,0,0,0,114,10,0, - 0,0,114,10,0,0,0,114,11,0,0,0,114,106,0,0, - 0,79,1,0,0,115,20,0,0,0,12,35,6,2,15,1, - 15,11,12,10,12,12,18,9,21,4,18,8,18,4,114,106, - 0,0,0,114,107,0,0,0,114,109,0,0,0,99,2,0, + 0,0,0,114,3,0,0,0,114,22,0,0,0,114,64,0, + 0,0,114,159,0,0,0,218,8,112,114,111,112,101,114,116, + 121,114,157,0,0,0,218,6,115,101,116,116,101,114,114,167, + 0,0,0,114,158,0,0,0,114,10,0,0,0,114,10,0, + 0,0,114,10,0,0,0,114,11,0,0,0,114,145,0,0, + 0,79,1,0,0,243,20,0,0,0,12,35,6,2,15,1, + 15,11,12,10,12,12,18,9,21,4,18,8,18,4,114,145, + 0,0,0,114,146,0,0,0,114,148,0,0,0,99,2,0, 0,0,2,0,0,0,6,0,0,0,15,0,0,0,67,0, 0,0,115,217,0,0,0,116,0,0,124,1,0,100,1,0, 131,2,0,114,110,0,116,1,0,100,2,0,107,8,0,114, @@ -926,18 +926,18 @@ const unsigned char _Py_M__importlib[] = 117,108,101,32,115,112,101,99,32,98,97,115,101,100,32,111, 110,32,118,97,114,105,111,117,115,32,108,111,97,100,101,114, 32,109,101,116,104,111,100,115,46,90,12,103,101,116,95,102, - 105,108,101,110,97,109,101,78,114,99,0,0,0,114,110,0, - 0,0,114,109,0,0,0,70,114,107,0,0,0,41,7,114, - 4,0,0,0,114,119,0,0,0,114,120,0,0,0,218,23, + 105,108,101,110,97,109,101,78,114,132,0,0,0,114,149,0, + 0,0,114,148,0,0,0,70,114,146,0,0,0,41,7,114, + 4,0,0,0,114,161,0,0,0,114,162,0,0,0,218,23, 115,112,101,99,95,102,114,111,109,95,102,105,108,101,95,108, - 111,99,97,116,105,111,110,114,109,0,0,0,114,77,0,0, - 0,114,106,0,0,0,41,6,114,15,0,0,0,114,99,0, - 0,0,114,107,0,0,0,114,109,0,0,0,114,128,0,0, + 111,99,97,116,105,111,110,114,148,0,0,0,114,105,0,0, + 0,114,145,0,0,0,41,6,114,16,0,0,0,114,132,0, + 0,0,114,146,0,0,0,114,148,0,0,0,114,176,0,0, 0,90,6,115,101,97,114,99,104,114,10,0,0,0,114,10, - 0,0,0,114,11,0,0,0,114,85,0,0,0,180,1,0, - 0,115,34,0,0,0,0,2,15,1,12,1,6,1,9,2, + 0,0,0,114,11,0,0,0,114,117,0,0,0,180,1,0, + 0,243,34,0,0,0,0,2,15,1,12,1,6,1,9,2, 12,1,16,1,18,1,15,1,7,2,12,1,15,1,3,1, - 19,1,13,1,14,3,6,2,114,85,0,0,0,99,3,0, + 19,1,13,1,14,3,6,2,114,117,0,0,0,99,3,0, 0,0,0,0,0,0,8,0,0,0,53,0,0,0,67,0, 0,0,115,118,1,0,0,121,13,0,124,0,0,106,0,0, 125,3,0,87,110,18,0,4,116,1,0,107,10,0,114,33, @@ -963,22 +963,22 @@ const unsigned char _Py_M__importlib[] = 0,0,107,8,0,114,87,1,100,2,0,110,3,0,100,3, 0,124,3,0,95,10,0,124,6,0,124,3,0,95,11,0, 124,7,0,124,3,0,95,12,0,124,3,0,83,41,4,78, - 114,107,0,0,0,70,84,41,13,114,95,0,0,0,114,96, - 0,0,0,114,1,0,0,0,114,91,0,0,0,114,98,0, + 114,146,0,0,0,70,84,41,13,114,128,0,0,0,114,129, + 0,0,0,114,1,0,0,0,114,124,0,0,0,114,131,0, 0,0,90,7,95,79,82,73,71,73,78,218,10,95,95,99, 97,99,104,101,100,95,95,218,4,108,105,115,116,218,8,95, - 95,112,97,116,104,95,95,114,106,0,0,0,114,111,0,0, - 0,114,116,0,0,0,114,110,0,0,0,41,8,114,89,0, - 0,0,114,99,0,0,0,114,107,0,0,0,114,88,0,0, - 0,114,15,0,0,0,90,8,108,111,99,97,116,105,111,110, - 114,116,0,0,0,114,110,0,0,0,114,10,0,0,0,114, + 95,112,97,116,104,95,95,114,145,0,0,0,114,150,0,0, + 0,114,157,0,0,0,114,149,0,0,0,41,8,114,121,0, + 0,0,114,132,0,0,0,114,146,0,0,0,114,120,0,0, + 0,114,16,0,0,0,90,8,108,111,99,97,116,105,111,110, + 114,157,0,0,0,114,149,0,0,0,114,10,0,0,0,114, 10,0,0,0,114,11,0,0,0,218,17,95,115,112,101,99, 95,102,114,111,109,95,109,111,100,117,108,101,209,1,0,0, - 115,72,0,0,0,0,2,3,1,13,1,13,1,5,2,12, + 243,72,0,0,0,0,2,3,1,13,1,13,1,5,2,12, 1,4,2,9,1,12,1,3,1,13,1,13,2,5,1,3, 1,13,1,13,1,11,1,12,1,12,1,3,1,13,1,13, 1,14,2,6,1,3,1,13,1,13,1,11,1,3,1,19, - 1,13,1,11,2,21,1,27,1,9,1,9,1,114,132,0, + 1,13,1,11,2,21,1,27,1,9,1,9,1,114,181,0, 0,0,218,8,111,118,101,114,114,105,100,101,70,99,2,0, 0,0,1,0,0,0,5,0,0,0,59,0,0,0,67,0, 0,0,115,54,2,0,0,124,2,0,115,30,0,116,0,0, @@ -1017,27 +1017,27 @@ const unsigned char _Py_M__importlib[] = 0,114,50,2,121,16,0,124,0,0,106,19,0,124,1,0, 95,20,0,87,110,18,0,4,116,3,0,107,10,0,114,49, 2,1,1,1,89,110,1,0,88,124,1,0,83,41,7,78, - 114,1,0,0,0,114,91,0,0,0,218,11,95,95,112,97, - 99,107,97,103,101,95,95,114,131,0,0,0,114,98,0,0, - 0,114,129,0,0,0,41,21,114,6,0,0,0,114,15,0, - 0,0,114,1,0,0,0,114,96,0,0,0,114,99,0,0, - 0,114,110,0,0,0,114,119,0,0,0,114,120,0,0,0, + 114,1,0,0,0,114,124,0,0,0,218,11,95,95,112,97, + 99,107,97,103,101,95,95,114,180,0,0,0,114,131,0,0, + 0,114,178,0,0,0,41,21,114,6,0,0,0,114,16,0, + 0,0,114,1,0,0,0,114,129,0,0,0,114,132,0,0, + 0,114,149,0,0,0,114,161,0,0,0,114,162,0,0,0, 218,16,95,78,97,109,101,115,112,97,99,101,76,111,97,100, 101,114,218,7,95,95,110,101,119,95,95,90,5,95,112,97, - 116,104,114,91,0,0,0,114,123,0,0,0,114,134,0,0, - 0,114,95,0,0,0,114,131,0,0,0,114,117,0,0,0, - 114,107,0,0,0,114,98,0,0,0,114,116,0,0,0,114, - 129,0,0,0,41,5,114,88,0,0,0,114,89,0,0,0, - 114,133,0,0,0,114,99,0,0,0,114,135,0,0,0,114, + 116,104,114,124,0,0,0,114,167,0,0,0,114,184,0,0, + 0,114,128,0,0,0,114,180,0,0,0,114,158,0,0,0, + 114,146,0,0,0,114,131,0,0,0,114,157,0,0,0,114, + 178,0,0,0,41,5,114,120,0,0,0,114,121,0,0,0, + 114,183,0,0,0,114,132,0,0,0,114,185,0,0,0,114, 10,0,0,0,114,10,0,0,0,114,11,0,0,0,218,18, 95,105,110,105,116,95,109,111,100,117,108,101,95,97,116,116, - 114,115,254,1,0,0,115,92,0,0,0,0,4,30,1,3, + 114,115,254,1,0,0,243,92,0,0,0,0,4,30,1,3, 1,16,1,13,1,5,2,30,1,9,1,12,2,15,1,12, 1,6,1,9,2,15,1,12,1,3,1,13,1,13,1,5, 2,30,1,3,1,16,1,13,1,5,2,3,1,13,1,13, 1,5,2,30,1,15,1,3,1,16,1,13,1,5,2,9, 1,30,1,3,1,16,1,13,1,5,2,30,1,15,1,3, - 1,16,1,13,1,5,1,114,137,0,0,0,99,1,0,0, + 1,16,1,13,1,5,1,114,187,0,0,0,99,1,0,0, 0,0,0,0,0,2,0,0,0,5,0,0,0,67,0,0, 0,115,129,0,0,0,100,1,0,125,1,0,116,0,0,124, 0,0,106,1,0,100,2,0,131,2,0,114,45,0,124,0, @@ -1059,15 +1059,15 @@ const unsigned char _Py_M__importlib[] = 32,97,108,115,111,32,100,101,102,105,110,101,32,99,114,101, 97,116,101,95,109,111,100,117,108,101,40,41,218,10,115,116, 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, + 4,0,0,0,114,132,0,0,0,114,189,0,0,0,218,9, 95,119,97,114,110,105,110,103,115,218,4,119,97,114,110,218, 18,68,101,112,114,101,99,97,116,105,111,110,87,97,114,110, - 105,110,103,114,16,0,0,0,114,15,0,0,0,114,137,0, - 0,0,41,2,114,88,0,0,0,114,89,0,0,0,114,10, + 105,110,103,114,17,0,0,0,114,16,0,0,0,114,187,0, + 0,0,41,2,114,120,0,0,0,114,121,0,0,0,114,10, 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, - 18,1,9,2,13,1,12,1,15,1,13,1,114,145,0,0, + 2,0,0,243,20,0,0,0,0,3,6,1,18,3,21,1, + 18,1,9,2,13,1,12,1,15,1,13,1,114,196,0,0, 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, @@ -1081,18 +1081,18 @@ const unsigned char _Py_M__importlib[] = 0,0,124,0,0,106,1,0,131,2,0,83,100,1,0,83, 41,7,122,38,82,101,116,117,114,110,32,116,104,101,32,114, 101,112,114,32,116,111,32,117,115,101,32,102,111,114,32,116, - 104,101,32,109,111,100,117,108,101,46,78,114,93,0,0,0, + 104,101,32,109,111,100,117,108,101,46,78,114,126,0,0,0, 122,13,60,109,111,100,117,108,101,32,123,33,114,125,62,122, 20,60,109,111,100,117,108,101,32,123,33,114,125,32,40,123, 33,114,125,41,62,122,23,60,109,111,100,117,108,101,32,123, 33,114,125,32,102,114,111,109,32,123,33,114,125,62,122,18, 60,109,111,100,117,108,101,32,123,33,114,125,32,40,123,125, - 41,62,41,5,114,15,0,0,0,114,107,0,0,0,114,99, - 0,0,0,114,50,0,0,0,114,117,0,0,0,41,2,114, - 88,0,0,0,114,15,0,0,0,114,10,0,0,0,114,10, - 0,0,0,114,11,0,0,0,114,97,0,0,0,76,2,0, - 0,115,16,0,0,0,0,3,30,1,15,1,15,1,13,2, - 22,2,9,1,19,2,114,97,0,0,0,99,2,0,0,0, + 41,62,41,5,114,16,0,0,0,114,146,0,0,0,114,132, + 0,0,0,114,62,0,0,0,114,158,0,0,0,41,2,114, + 120,0,0,0,114,16,0,0,0,114,10,0,0,0,114,10, + 0,0,0,114,11,0,0,0,114,130,0,0,0,76,2,0, + 0,243,16,0,0,0,0,3,30,1,15,1,15,1,13,2, + 22,2,9,1,19,2,114,130,0,0,0,99,2,0,0,0, 0,0,0,0,4,0,0,0,12,0,0,0,67,0,0,0, 115,253,0,0,0,124,0,0,106,0,0,125,2,0,116,1, 0,106,2,0,131,0,0,1,116,3,0,124,2,0,131,1, @@ -1115,20 +1115,20 @@ const unsigned char _Py_M__importlib[] = 115,116,105,110,103,32,109,111,100,117,108,101,39,115,32,110, 97,109,101,115,112,97,99,101,46,122,30,109,111,100,117,108, 101,32,123,33,114,125,32,110,111,116,32,105,110,32,115,121, - 115,46,109,111,100,117,108,101,115,114,15,0,0,0,78,122, + 115,46,109,111,100,117,108,101,115,114,16,0,0,0,78,122, 14,109,105,115,115,105,110,103,32,108,111,97,100,101,114,114, - 133,0,0,0,84,114,139,0,0,0,41,15,114,15,0,0, - 0,114,57,0,0,0,218,12,97,99,113,117,105,114,101,95, - 108,111,99,107,114,54,0,0,0,114,14,0,0,0,114,21, - 0,0,0,114,42,0,0,0,114,50,0,0,0,114,77,0, - 0,0,114,99,0,0,0,114,110,0,0,0,114,137,0,0, + 183,0,0,0,84,114,190,0,0,0,41,15,114,16,0,0, + 0,114,77,0,0,0,218,12,97,99,113,117,105,114,101,95, + 108,111,99,107,114,73,0,0,0,114,15,0,0,0,114,24, + 0,0,0,114,51,0,0,0,114,62,0,0,0,114,105,0, + 0,0,114,132,0,0,0,114,149,0,0,0,114,187,0,0, 0,114,4,0,0,0,218,11,108,111,97,100,95,109,111,100, - 117,108,101,114,139,0,0,0,41,4,114,88,0,0,0,114, - 89,0,0,0,114,15,0,0,0,218,3,109,115,103,114,10, - 0,0,0,114,10,0,0,0,114,11,0,0,0,114,86,0, - 0,0,93,2,0,0,115,32,0,0,0,0,2,9,1,10, + 117,108,101,114,190,0,0,0,41,4,114,120,0,0,0,114, + 121,0,0,0,114,16,0,0,0,218,3,109,115,103,114,10, + 0,0,0,114,10,0,0,0,114,11,0,0,0,114,118,0, + 0,0,93,2,0,0,243,32,0,0,0,0,2,9,1,10, 1,13,1,24,1,15,1,18,1,15,1,15,1,21,2,19, - 1,4,1,19,1,18,4,19,2,23,1,114,86,0,0,0, + 1,4,1,19,1,18,4,19,2,23,1,114,118,0,0,0, 99,1,0,0,0,0,0,0,0,2,0,0,0,27,0,0, 0,67,0,0,0,115,3,1,0,0,124,0,0,106,0,0, 106,1,0,124,0,0,106,2,0,131,1,0,1,116,3,0, @@ -1147,19 +1147,19 @@ const unsigned char _Py_M__importlib[] = 0,107,8,0,114,255,0,121,13,0,124,0,0,124,1,0, 95,12,0,87,110,18,0,4,116,7,0,107,10,0,114,254, 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, - 114,99,0,0,0,114,147,0,0,0,114,15,0,0,0,114, - 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, - 0,41,2,114,88,0,0,0,114,89,0,0,0,114,10,0, + 114,124,0,0,0,114,184,0,0,0,114,180,0,0,0,114, + 165,0,0,0,114,41,0,0,0,114,128,0,0,0,41,13, + 114,132,0,0,0,114,200,0,0,0,114,16,0,0,0,114, + 15,0,0,0,114,24,0,0,0,114,6,0,0,0,114,124, + 0,0,0,114,129,0,0,0,114,1,0,0,0,114,184,0, + 0,0,114,4,0,0,0,114,166,0,0,0,114,128,0,0, + 0,41,2,114,120,0,0,0,114,121,0,0,0,114,10,0, 0,0,114,10,0,0,0,114,11,0,0,0,218,25,95,108, 111,97,100,95,98,97,99,107,119,97,114,100,95,99,111,109, - 112,97,116,105,98,108,101,118,2,0,0,115,40,0,0,0, + 112,97,116,105,98,108,101,118,2,0,0,243,40,0,0,0, 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, - 3,1,13,1,13,1,5,1,114,149,0,0,0,99,1,0, + 3,1,13,1,13,1,5,1,114,203,0,0,0,99,1,0, 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, @@ -1171,17 +1171,17 @@ const unsigned char _Py_M__importlib[] = 3,0,124,0,0,106,7,0,131,1,1,130,1,0,110,16, 0,124,0,0,106,0,0,106,8,0,124,1,0,131,1,0, 1,87,100,0,0,81,82,88,116,9,0,106,10,0,124,0, - 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, - 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, + 0,106,7,0,25,83,41,4,78,114,190,0,0,0,122,14, + 109,105,115,115,105,110,103,32,108,111,97,100,101,114,114,16, + 0,0,0,41,11,114,132,0,0,0,114,4,0,0,0,114, + 203,0,0,0,114,196,0,0,0,114,136,0,0,0,114,149, + 0,0,0,114,105,0,0,0,114,16,0,0,0,114,190,0, + 0,0,114,15,0,0,0,114,24,0,0,0,41,2,114,120, + 0,0,0,114,121,0,0,0,114,10,0,0,0,114,10,0, 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, + 110,108,111,99,107,101,100,147,2,0,0,243,20,0,0,0, 0,2,15,2,18,1,10,2,12,1,13,1,15,1,15,1, - 24,3,23,5,114,150,0,0,0,99,1,0,0,0,0,0, + 24,3,23,5,114,205,0,0,0,99,1,0,0,0,0,0, 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, @@ -1198,11 +1198,11 @@ 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, - 10,32,32,32,32,78,41,5,114,57,0,0,0,114,146,0, - 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, + 10,32,32,32,32,78,41,5,114,77,0,0,0,114,199,0, + 0,0,114,73,0,0,0,114,16,0,0,0,114,205,0,0, + 0,41,1,114,120,0,0,0,114,10,0,0,0,114,10,0, + 0,0,114,11,0,0,0,114,119,0,0,0,170,2,0,0, + 243,6,0,0,0,0,9,10,1,16,1,114,119,0,0,0, 99,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0, 0,64,0,0,0,115,205,0,0,0,101,0,0,90,1,0, 100,0,0,90,2,0,100,1,0,90,3,0,101,4,0,100, @@ -1239,23 +1239,23 @@ const unsigned char _Py_M__importlib[] = 111,101,115,32,116,104,101,32,106,111,98,32,105,116,115,101, 108,102,46,10,10,32,32,32,32,32,32,32,32,122,24,60, 109,111,100,117,108,101,32,123,33,114,125,32,40,98,117,105, - 108,116,45,105,110,41,62,41,2,114,50,0,0,0,114,1, - 0,0,0,41,1,114,89,0,0,0,114,10,0,0,0,114, - 10,0,0,0,114,11,0,0,0,114,92,0,0,0,195,2, - 0,0,115,2,0,0,0,0,7,122,27,66,117,105,108,116, + 108,116,45,105,110,41,62,41,2,114,62,0,0,0,114,1, + 0,0,0,41,1,114,121,0,0,0,114,10,0,0,0,114, + 10,0,0,0,114,11,0,0,0,114,125,0,0,0,195,2, + 0,0,243,2,0,0,0,0,7,122,27,66,117,105,108,116, 105,110,73,109,112,111,114,116,101,114,46,109,111,100,117,108, 101,95,114,101,112,114,78,99,4,0,0,0,0,0,0,0, 4,0,0,0,5,0,0,0,67,0,0,0,115,58,0,0, 0,124,2,0,100,0,0,107,9,0,114,16,0,100,0,0, 83,116,0,0,106,1,0,124,1,0,131,1,0,114,50,0, 116,2,0,124,1,0,124,0,0,100,1,0,100,2,0,131, - 2,1,83,100,0,0,83,100,0,0,83,41,3,78,114,107, + 2,1,83,100,0,0,83,100,0,0,83,41,3,78,114,146, 0,0,0,122,8,98,117,105,108,116,45,105,110,41,3,114, - 57,0,0,0,90,10,105,115,95,98,117,105,108,116,105,110, - 114,85,0,0,0,41,4,218,3,99,108,115,114,78,0,0, + 77,0,0,0,90,10,105,115,95,98,117,105,108,116,105,110, + 114,117,0,0,0,41,4,218,3,99,108,115,114,106,0,0, 0,218,4,112,97,116,104,218,6,116,97,114,103,101,116,114, 10,0,0,0,114,10,0,0,0,114,11,0,0,0,218,9, - 102,105,110,100,95,115,112,101,99,204,2,0,0,115,10,0, + 102,105,110,100,95,115,112,101,99,204,2,0,0,243,10,0, 0,0,0,2,12,1,4,1,15,1,19,2,122,25,66,117, 105,108,116,105,110,73,109,112,111,114,116,101,114,46,102,105, 110,100,95,115,112,101,99,99,3,0,0,0,0,0,0,0, @@ -1274,11 +1274,11 @@ 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, - 114,155,0,0,0,114,99,0,0,0,41,4,114,152,0,0, - 0,114,78,0,0,0,114,153,0,0,0,114,88,0,0,0, + 114,213,0,0,0,114,132,0,0,0,41,4,114,210,0,0, + 0,114,106,0,0,0,114,211,0,0,0,114,120,0,0,0, 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, + 243,4,0,0,0,0,9,18,1,122,27,66,117,105,108,116, 105,110,73,109,112,111,114,116,101,114,46,102,105,110,100,95, 109,111,100,117,108,101,99,2,0,0,0,0,0,0,0,2, 0,0,0,4,0,0,0,67,0,0,0,115,67,0,0,0, @@ -1289,13 +1289,13 @@ const unsigned char _Py_M__importlib[] = 2,0,83,41,3,122,24,67,114,101,97,116,101,32,97,32, 98,117,105,108,116,45,105,110,32,109,111,100,117,108,101,122, 29,123,33,114,125,32,105,115,32,110,111,116,32,97,32,98, - 117,105,108,116,45,105,110,32,109,111,100,117,108,101,114,15, - 0,0,0,41,8,114,15,0,0,0,114,14,0,0,0,114, - 76,0,0,0,114,77,0,0,0,114,50,0,0,0,114,65, - 0,0,0,114,57,0,0,0,90,14,99,114,101,97,116,101, - 95,98,117,105,108,116,105,110,41,2,114,19,0,0,0,114, - 88,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11, - 0,0,0,114,138,0,0,0,225,2,0,0,115,8,0,0, + 117,105,108,116,45,105,110,32,109,111,100,117,108,101,114,16, + 0,0,0,41,8,114,16,0,0,0,114,15,0,0,0,114, + 104,0,0,0,114,105,0,0,0,114,62,0,0,0,114,91, + 0,0,0,114,77,0,0,0,90,14,99,114,101,97,116,101, + 95,98,117,105,108,116,105,110,41,2,114,21,0,0,0,114, + 120,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11, + 0,0,0,114,189,0,0,0,225,2,0,0,243,8,0,0, 0,0,3,18,1,21,1,12,1,122,29,66,117,105,108,116, 105,110,73,109,112,111,114,116,101,114,46,99,114,101,97,116, 101,95,109,111,100,117,108,101,99,2,0,0,0,0,0,0, @@ -1303,10 +1303,10 @@ const unsigned char _Py_M__importlib[] = 0,0,116,0,0,116,1,0,106,2,0,124,1,0,131,2, 0,1,100,1,0,83,41,2,122,22,69,120,101,99,32,97, 32,98,117,105,108,116,45,105,110,32,109,111,100,117,108,101, - 78,41,3,114,65,0,0,0,114,57,0,0,0,90,12,101, - 120,101,99,95,98,117,105,108,116,105,110,41,2,114,19,0, - 0,0,114,89,0,0,0,114,10,0,0,0,114,10,0,0, - 0,114,11,0,0,0,114,139,0,0,0,233,2,0,0,115, + 78,41,3,114,91,0,0,0,114,77,0,0,0,90,12,101, + 120,101,99,95,98,117,105,108,116,105,110,41,2,114,21,0, + 0,0,114,121,0,0,0,114,10,0,0,0,114,10,0,0, + 0,114,11,0,0,0,114,190,0,0,0,233,2,0,0,243, 2,0,0,0,0,3,122,27,66,117,105,108,116,105,110,73, 109,112,111,114,116,101,114,46,101,120,101,99,95,109,111,100, 117,108,101,99,2,0,0,0,0,0,0,0,2,0,0,0, @@ -1315,9 +1315,9 @@ 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, - 10,0,0,0,41,2,114,152,0,0,0,114,78,0,0,0, + 10,0,0,0,41,2,114,210,0,0,0,114,106,0,0,0, 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, + 8,103,101,116,95,99,111,100,101,238,2,0,0,243,2,0, 0,0,0,4,122,24,66,117,105,108,116,105,110,73,109,112, 111,114,116,101,114,46,103,101,116,95,99,111,100,101,99,2, 0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,67, @@ -1326,9 +1326,9 @@ 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, - 114,152,0,0,0,114,78,0,0,0,114,10,0,0,0,114, + 114,210,0,0,0,114,106,0,0,0,114,10,0,0,0,114, 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, + 111,117,114,99,101,244,2,0,0,243,2,0,0,0,0,4, 122,26,66,117,105,108,116,105,110,73,109,112,111,114,116,101, 114,46,103,101,116,95,115,111,117,114,99,101,99,2,0,0, 0,0,0,0,0,2,0,0,0,1,0,0,0,67,0,0, @@ -1336,22 +1336,22 @@ 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, - 115,46,70,114,10,0,0,0,41,2,114,152,0,0,0,114, - 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, + 115,46,70,114,10,0,0,0,41,2,114,210,0,0,0,114, + 106,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11, + 0,0,0,114,148,0,0,0,250,2,0,0,243,2,0,0, 0,0,4,122,26,66,117,105,108,116,105,110,73,109,112,111, 114,116,101,114,46,105,115,95,112,97,99,107,97,103,101,41, 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, - 101,116,104,111,100,114,155,0,0,0,114,156,0,0,0,114, - 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, + 104,111,100,114,125,0,0,0,218,11,99,108,97,115,115,109, + 101,116,104,111,100,114,213,0,0,0,114,215,0,0,0,114, + 189,0,0,0,114,190,0,0,0,114,110,0,0,0,114,219, + 0,0,0,114,221,0,0,0,114,148,0,0,0,114,122,0, + 0,0,114,200,0,0,0,114,10,0,0,0,114,10,0,0, + 0,114,10,0,0,0,114,11,0,0,0,114,208,0,0,0, + 186,2,0,0,243,30,0,0,0,12,7,6,2,18,9,3, 1,21,8,3,1,18,11,18,8,18,5,3,1,21,5,3, - 1,21,5,3,1,21,5,114,151,0,0,0,99,0,0,0, + 1,21,5,3,1,21,5,114,208,0,0,0,99,0,0,0, 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, @@ -1388,21 +1388,21 @@ const unsigned char _Py_M__importlib[] = 101,115,32,116,104,101,32,106,111,98,32,105,116,115,101,108, 102,46,10,10,32,32,32,32,32,32,32,32,122,22,60,109, 111,100,117,108,101,32,123,33,114,125,32,40,102,114,111,122, - 101,110,41,62,41,2,114,50,0,0,0,114,1,0,0,0, + 101,110,41,62,41,2,114,62,0,0,0,114,1,0,0,0, 41,1,218,1,109,114,10,0,0,0,114,10,0,0,0,114, - 11,0,0,0,114,92,0,0,0,12,3,0,0,115,2,0, + 11,0,0,0,114,125,0,0,0,12,3,0,0,243,2,0, 0,0,0,7,122,26,70,114,111,122,101,110,73,109,112,111, 114,116,101,114,46,109,111,100,117,108,101,95,114,101,112,114, 78,99,4,0,0,0,0,0,0,0,4,0,0,0,5,0, 0,0,67,0,0,0,115,42,0,0,0,116,0,0,106,1, 0,124,1,0,131,1,0,114,34,0,116,2,0,124,1,0, 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, - 0,114,85,0,0,0,41,4,114,152,0,0,0,114,78,0, - 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, + 83,100,0,0,83,41,3,78,114,146,0,0,0,90,6,102, + 114,111,122,101,110,41,3,114,77,0,0,0,114,112,0,0, + 0,114,117,0,0,0,41,4,114,210,0,0,0,114,106,0, + 0,0,114,211,0,0,0,114,212,0,0,0,114,10,0,0, + 0,114,10,0,0,0,114,11,0,0,0,114,213,0,0,0, + 21,3,0,0,243,6,0,0,0,0,2,15,1,19,2,122, 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, 0,0,3,0,0,0,2,0,0,0,67,0,0,0,115,23, @@ -1413,20 +1413,20 @@ const unsigned char _Py_M__importlib[] = 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, - 46,10,10,32,32,32,32,32,32,32,32,78,41,2,114,57, - 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, + 46,10,10,32,32,32,32,32,32,32,32,78,41,2,114,77, + 0,0,0,114,112,0,0,0,41,3,114,210,0,0,0,114, + 106,0,0,0,114,211,0,0,0,114,10,0,0,0,114,10, + 0,0,0,114,11,0,0,0,114,215,0,0,0,28,3,0, + 0,243,2,0,0,0,0,7,122,26,70,114,111,122,101,110, 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, 0,1,0,0,0,67,0,0,0,115,4,0,0,0,100,1, 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, - 78,114,10,0,0,0,41,2,114,152,0,0,0,114,88,0, + 78,114,10,0,0,0,41,2,114,210,0,0,0,114,120,0, 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, + 0,114,189,0,0,0,37,3,0,0,243,0,0,0,0,122, 28,70,114,111,122,101,110,73,109,112,111,114,116,101,114,46, 99,114,101,97,116,101,95,109,111,100,117,108,101,99,1,0, 0,0,0,0,0,0,3,0,0,0,4,0,0,0,67,0, @@ -1438,14 +1438,14 @@ const unsigned char _Py_M__importlib[] = 8,0,124,2,0,124,0,0,106,9,0,131,2,0,1,100, 0,0,83,41,3,78,122,27,123,33,114,125,32,105,115,32, 110,111,116,32,97,32,102,114,111,122,101,110,32,109,111,100, - 117,108,101,114,15,0,0,0,41,10,114,95,0,0,0,114, - 15,0,0,0,114,57,0,0,0,114,82,0,0,0,114,77, - 0,0,0,114,50,0,0,0,114,65,0,0,0,218,17,103, + 117,108,101,114,16,0,0,0,41,10,114,128,0,0,0,114, + 16,0,0,0,114,77,0,0,0,114,112,0,0,0,114,105, + 0,0,0,114,62,0,0,0,114,91,0,0,0,218,17,103, 101,116,95,102,114,111,122,101,110,95,111,98,106,101,99,116, - 218,4,101,120,101,99,114,7,0,0,0,41,3,114,89,0, - 0,0,114,15,0,0,0,218,4,99,111,100,101,114,10,0, - 0,0,114,10,0,0,0,114,11,0,0,0,114,139,0,0, - 0,41,3,0,0,115,12,0,0,0,0,2,12,1,15,1, + 218,4,101,120,101,99,114,7,0,0,0,41,3,114,121,0, + 0,0,114,16,0,0,0,218,4,99,111,100,101,114,10,0, + 0,0,114,10,0,0,0,114,11,0,0,0,114,190,0,0, + 0,41,3,0,0,243,12,0,0,0,0,2,12,1,15,1, 18,1,9,1,18,1,122,26,70,114,111,122,101,110,73,109, 112,111,114,116,101,114,46,101,120,101,99,95,109,111,100,117, 108,101,99,2,0,0,0,0,0,0,0,2,0,0,0,3, @@ -1456,10 +1456,10 @@ const unsigned char _Py_M__importlib[] = 32,109,101,116,104,111,100,32,105,115,32,100,101,112,114,101, 99,97,116,101,100,46,32,32,85,115,101,32,101,120,101,99, 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, - 0,0,0,41,2,114,152,0,0,0,114,78,0,0,0,114, - 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, + 100,46,10,10,32,32,32,32,32,32,32,32,41,1,114,122, + 0,0,0,41,2,114,210,0,0,0,114,106,0,0,0,114, + 10,0,0,0,114,10,0,0,0,114,11,0,0,0,114,200, + 0,0,0,50,3,0,0,243,2,0,0,0,0,7,122,26, 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, 0,0,0,2,0,0,0,2,0,0,0,67,0,0,0,115, @@ -1467,10 +1467,10 @@ 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, - 101,46,41,2,114,57,0,0,0,114,163,0,0,0,41,2, - 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, + 101,46,41,2,114,77,0,0,0,114,233,0,0,0,41,2, + 114,210,0,0,0,114,106,0,0,0,114,10,0,0,0,114, + 10,0,0,0,114,11,0,0,0,114,219,0,0,0,59,3, + 0,0,243,2,0,0,0,0,4,122,23,70,114,111,122,101, 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, 0,0,0,67,0,0,0,115,4,0,0,0,100,1,0,83, @@ -1478,9 +1478,9 @@ 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, - 41,2,114,152,0,0,0,114,78,0,0,0,114,10,0,0, - 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, + 41,2,114,210,0,0,0,114,106,0,0,0,114,10,0,0, + 0,114,10,0,0,0,114,11,0,0,0,114,221,0,0,0, + 65,3,0,0,243,2,0,0,0,0,4,122,25,70,114,111, 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, 0,0,0,2,0,0,0,67,0,0,0,115,13,0,0,0, @@ -1488,22 +1488,22 @@ const unsigned char _Py_M__importlib[] = 46,82,101,116,117,114,110,32,84,114,117,101,32,105,102,32, 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, - 110,95,112,97,99,107,97,103,101,41,2,114,152,0,0,0, - 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, + 2,114,77,0,0,0,90,17,105,115,95,102,114,111,122,101, + 110,95,112,97,99,107,97,103,101,41,2,114,210,0,0,0, + 114,106,0,0,0,114,10,0,0,0,114,10,0,0,0,114, + 11,0,0,0,114,148,0,0,0,71,3,0,0,243,2,0, 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, - 114,3,0,0,0,114,159,0,0,0,114,92,0,0,0,114, - 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, + 114,3,0,0,0,114,224,0,0,0,114,125,0,0,0,114, + 225,0,0,0,114,213,0,0,0,114,215,0,0,0,114,189, + 0,0,0,114,190,0,0,0,114,200,0,0,0,114,115,0, + 0,0,114,219,0,0,0,114,221,0,0,0,114,148,0,0, 0,114,10,0,0,0,114,10,0,0,0,114,10,0,0,0, - 114,11,0,0,0,114,161,0,0,0,3,3,0,0,115,30, + 114,11,0,0,0,114,227,0,0,0,3,3,0,0,243,30, 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, - 1,114,161,0,0,0,99,0,0,0,0,0,0,0,0,0, + 1,114,227,0,0,0,99,0,0,0,0,0,0,0,0,0, 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, @@ -1516,9 +1516,9 @@ 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, - 2,114,57,0,0,0,114,146,0,0,0,41,1,114,19,0, + 2,114,77,0,0,0,114,199,0,0,0,41,1,114,21,0, 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, + 0,114,26,0,0,0,84,3,0,0,243,2,0,0,0,0, 2,122,28,95,73,109,112,111,114,116,76,111,99,107,67,111, 110,116,101,120,116,46,95,95,101,110,116,101,114,95,95,99, 4,0,0,0,0,0,0,0,4,0,0,0,1,0,0,0, @@ -1527,19 +1527,19 @@ const unsigned char _Py_M__importlib[] = 115,101,32,116,104,101,32,105,109,112,111,114,116,32,108,111, 99,107,32,114,101,103,97,114,100,108,101,115,115,32,111,102, 32,97,110,121,32,114,97,105,115,101,100,32,101,120,99,101, - 112,116,105,111,110,115,46,78,41,2,114,57,0,0,0,114, - 58,0,0,0,41,4,114,19,0,0,0,90,8,101,120,99, + 112,116,105,111,110,115,46,78,41,2,114,77,0,0,0,114, + 78,0,0,0,41,4,114,21,0,0,0,90,8,101,120,99, 95,116,121,112,101,90,9,101,120,99,95,118,97,108,117,101, 90,13,101,120,99,95,116,114,97,99,101,98,97,99,107,114, - 10,0,0,0,114,10,0,0,0,114,11,0,0,0,114,30, - 0,0,0,88,3,0,0,115,2,0,0,0,0,2,122,27, + 10,0,0,0,114,10,0,0,0,114,11,0,0,0,114,35, + 0,0,0,88,3,0,0,243,2,0,0,0,0,2,122,27, 95,73,109,112,111,114,116,76,111,99,107,67,111,110,116,101, 120,116,46,95,95,101,120,105,116,95,95,78,41,6,114,1, 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, + 0,0,114,26,0,0,0,114,35,0,0,0,114,10,0,0, 0,114,10,0,0,0,114,10,0,0,0,114,11,0,0,0, - 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, + 114,242,0,0,0,80,3,0,0,243,6,0,0,0,12,2, + 6,2,12,4,114,242,0,0,0,99,3,0,0,0,0,0, 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, @@ -1550,29 +1550,29 @@ const unsigned char _Py_M__importlib[] = 101,115,111,108,118,101,32,97,32,114,101,108,97,116,105,118, 101,32,109,111,100,117,108,101,32,110,97,109,101,32,116,111, 32,97,110,32,97,98,115,111,108,117,116,101,32,111,110,101, - 46,114,121,0,0,0,114,45,0,0,0,122,50,97,116,116, + 46,114,165,0,0,0,114,55,0,0,0,122,50,97,116,116, 101,109,112,116,101,100,32,114,101,108,97,116,105,118,101,32, 105,109,112,111,114,116,32,98,101,121,111,110,100,32,116,111, 112,45,108,101,118,101,108,32,112,97,99,107,97,103,101,114, - 33,0,0,0,122,5,123,125,46,123,125,41,4,218,6,114, + 41,0,0,0,122,5,123,125,46,123,125,41,4,218,6,114, 115,112,108,105,116,218,3,108,101,110,218,10,86,97,108,117, - 101,69,114,114,111,114,114,50,0,0,0,41,5,114,15,0, + 101,69,114,114,111,114,114,62,0,0,0,41,5,114,16,0, 0,0,218,7,112,97,99,107,97,103,101,218,5,108,101,118, 101,108,90,4,98,105,116,115,90,4,98,97,115,101,114,10, 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, - 172,0,0,0,99,3,0,0,0,0,0,0,0,4,0,0, + 243,10,0,0,0,0,2,22,1,18,1,12,1,10,1,114, + 251,0,0,0,99,3,0,0,0,0,0,0,0,4,0,0, 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, - 41,2,114,156,0,0,0,114,85,0,0,0,41,4,218,6, - 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, + 41,2,114,215,0,0,0,114,117,0,0,0,41,4,218,6, + 102,105,110,100,101,114,114,16,0,0,0,114,211,0,0,0, + 114,132,0,0,0,114,10,0,0,0,114,10,0,0,0,114, 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, - 0,3,18,1,12,1,4,1,114,174,0,0,0,99,3,0, + 95,108,101,103,97,99,121,102,3,0,0,243,8,0,0,0, + 0,3,18,1,12,1,4,1,114,254,0,0,0,99,3,0, 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, @@ -1596,20 +1596,20 @@ const unsigned char _Py_M__importlib[] = 83,41,3,122,23,70,105,110,100,32,97,32,109,111,100,117, 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, - 116,97,95,112,97,116,104,114,142,0,0,0,114,143,0,0, + 101,109,112,116,121,41,11,114,15,0,0,0,218,9,109,101, + 116,97,95,112,97,116,104,114,193,0,0,0,114,194,0,0, 0,218,13,73,109,112,111,114,116,87,97,114,110,105,110,103, - 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, + 114,24,0,0,0,114,242,0,0,0,114,213,0,0,0,114, + 129,0,0,0,114,254,0,0,0,114,128,0,0,0,41,9, + 114,16,0,0,0,114,211,0,0,0,114,212,0,0,0,90, + 9,105,115,95,114,101,108,111,97,100,114,253,0,0,0,114, + 213,0,0,0,114,120,0,0,0,114,121,0,0,0,114,128, 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, + 0,0,243,48,0,0,0,0,2,25,1,16,4,15,1,16, 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, - 1,4,2,7,2,8,2,114,177,0,0,0,99,3,0,0, + 1,4,2,7,2,8,2,114,2,1,0,0,99,3,0,0, 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, @@ -1626,7 +1626,7 @@ const unsigned char _Py_M__importlib[] = 105,102,121,32,97,114,103,117,109,101,110,116,115,32,97,114, 101,32,34,115,97,110,101,34,46,122,31,109,111,100,117,108, 101,32,110,97,109,101,32,109,117,115,116,32,98,101,32,115, - 116,114,44,32,110,111,116,32,123,125,114,33,0,0,0,122, + 116,114,44,32,110,111,116,32,123,125,114,41,0,0,0,122, 18,108,101,118,101,108,32,109,117,115,116,32,98,101,32,62, 61,32,48,122,31,95,95,112,97,99,107,97,103,101,95,95, 32,110,111,116,32,115,101,116,32,116,111,32,97,32,115,116, @@ -1637,15 +1637,15 @@ const unsigned char _Py_M__importlib[] = 111,114,116,122,17,69,109,112,116,121,32,109,111,100,117,108, 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, - 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, - 0,0,114,170,0,0,0,114,171,0,0,0,114,148,0,0, + 69,114,114,111,114,114,62,0,0,0,114,14,0,0,0,114, + 248,0,0,0,114,15,0,0,0,114,24,0,0,0,218,11, + 83,121,115,116,101,109,69,114,114,111,114,41,4,114,16,0, + 0,0,114,249,0,0,0,114,250,0,0,0,114,201,0,0, 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, + 3,0,0,243,24,0,0,0,0,2,15,1,27,1,12,1, 12,1,6,1,15,1,15,1,15,1,6,2,21,1,19,1, - 114,182,0,0,0,122,16,78,111,32,109,111,100,117,108,101, + 114,8,1,0,0,122,16,78,111,32,109,111,100,117,108,101, 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, @@ -1667,23 +1667,23 @@ const unsigned char _Py_M__importlib[] = 1,116,1,0,106,2,0,124,3,0,25,125,4,0,116,11, 0,124,4,0,124,0,0,106,0,0,100,1,0,131,1,0, 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, + 6,78,114,165,0,0,0,114,41,0,0,0,122,23,59,32, 123,33,114,125,32,105,115,32,110,111,116,32,97,32,112,97, - 99,107,97,103,101,114,15,0,0,0,114,141,0,0,0,41, - 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, - 0,0,0,114,177,0,0,0,114,150,0,0,0,114,5,0, - 0,0,41,8,114,15,0,0,0,218,7,105,109,112,111,114, - 116,95,114,153,0,0,0,114,123,0,0,0,90,13,112,97, - 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, + 99,107,97,103,101,114,16,0,0,0,114,192,0,0,0,41, + 12,114,166,0,0,0,114,15,0,0,0,114,24,0,0,0, + 114,91,0,0,0,114,180,0,0,0,114,129,0,0,0,218, + 8,95,69,82,82,95,77,83,71,114,62,0,0,0,114,105, + 0,0,0,114,2,1,0,0,114,205,0,0,0,114,5,0, + 0,0,41,8,114,16,0,0,0,218,7,105,109,112,111,114, + 116,95,114,211,0,0,0,114,167,0,0,0,90,13,112,97, + 114,101,110,116,95,109,111,100,117,108,101,114,201,0,0,0, + 114,120,0,0,0,114,121,0,0,0,114,10,0,0,0,114, 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, + 101,100,171,3,0,0,243,42,0,0,0,0,1,6,1,19, 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, - 2,13,1,29,1,114,185,0,0,0,99,2,0,0,0,0, + 2,13,1,29,1,114,12,1,0,0,99,2,0,0,0,0, 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, - 99,107,46,78,41,2,114,54,0,0,0,114,185,0,0,0, - 41,2,114,15,0,0,0,114,184,0,0,0,114,10,0,0, + 99,107,46,78,41,2,114,73,0,0,0,114,12,1,0,0, + 41,2,114,16,0,0,0,114,11,1,0,0,114,10,0,0, 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, - 4,0,0,0,0,2,13,1,114,186,0,0,0,114,33,0, + 110,100,95,97,110,100,95,108,111,97,100,198,3,0,0,243, + 4,0,0,0,0,2,13,1,114,14,1,0,0,114,41,0, 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, @@ -1727,20 +1727,20 @@ const unsigned char _Py_M__importlib[] = 99,108,117,100,101,115,32,115,101,116,116,105,110,103,32,95, 95,112,97,99,107,97,103,101,95,95,32,105,102,10,32,32, 32,32,116,104,101,32,108,111,97,100,101,114,32,100,105,100, - 32,110,111,116,46,10,10,32,32,32,32,114,33,0,0,0, + 32,110,111,116,46,10,10,32,32,32,32,114,41,0,0,0, 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, - 41,12,114,182,0,0,0,114,172,0,0,0,114,57,0,0, - 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, - 0,114,63,0,0,0,41,5,114,15,0,0,0,114,170,0, - 0,0,114,171,0,0,0,114,89,0,0,0,114,74,0,0, + 115,121,115,46,109,111,100,117,108,101,115,114,16,0,0,0, + 41,12,114,8,1,0,0,114,251,0,0,0,114,77,0,0, + 0,114,199,0,0,0,114,15,0,0,0,114,24,0,0,0, + 114,14,1,0,0,218,11,95,103,99,100,95,105,109,112,111, + 114,116,114,78,0,0,0,114,62,0,0,0,114,105,0,0, + 0,114,88,0,0,0,41,5,114,16,0,0,0,114,249,0, + 0,0,114,250,0,0,0,114,121,0,0,0,114,101,0,0, 0,114,10,0,0,0,114,10,0,0,0,114,11,0,0,0, - 114,187,0,0,0,204,3,0,0,115,28,0,0,0,0,9, + 114,16,1,0,0,204,3,0,0,243,28,0,0,0,0,9, 16,1,12,1,18,1,10,1,15,1,13,1,13,1,12,1, - 10,1,6,1,9,1,18,1,10,1,114,187,0,0,0,99, + 10,1,6,1,9,1,18,1,10,1,114,16,1,0,0,99, 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, @@ -1772,21 +1772,21 @@ const unsigned char _Py_M__importlib[] = 110,103,32,105,109,112,111,114,116,108,105,98,39,115,10,32, 32,32,32,105,109,112,111,114,116,32,105,109,112,108,101,109, 101,110,116,97,116,105,111,110,32,105,115,32,100,101,115,105, - 114,101,100,46,10,10,32,32,32,32,114,131,0,0,0,250, + 114,101,100,46,10,10,32,32,32,32,114,180,0,0,0,250, 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, + 123,125,78,41,13,114,4,0,0,0,114,179,0,0,0,218, 6,114,101,109,111,118,101,218,6,101,120,116,101,110,100,114, - 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, + 19,1,0,0,114,62,0,0,0,114,1,0,0,0,114,91, + 0,0,0,114,105,0,0,0,114,5,1,0,0,114,98,0, 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, - 8,102,114,111,109,108,105,115,116,114,184,0,0,0,218,1, + 70,73,88,114,16,0,0,0,41,6,114,121,0,0,0,218, + 8,102,114,111,109,108,105,115,116,114,11,1,0,0,218,1, 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, + 115,116,228,3,0,0,243,34,0,0,0,0,10,15,1,12, 1,12,1,13,1,15,1,16,1,13,1,15,1,21,1,3, - 1,17,1,18,4,21,1,15,1,3,1,26,1,114,195,0, + 1,17,1,18,4,21,1,15,1,3,1,26,1,114,25,1, 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, @@ -1807,23 +1807,23 @@ const unsigned char _Py_M__importlib[] = 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, + 46,10,10,32,32,32,32,114,128,0,0,0,78,114,184,0, 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, + 32,97,110,100,32,95,95,112,97,116,104,95,95,114,191,0, + 0,0,233,3,0,0,0,114,1,0,0,0,114,180,0,0, + 0,114,165,0,0,0,114,41,0,0,0,41,6,114,51,0, + 0,0,114,167,0,0,0,114,193,0,0,0,114,194,0,0, + 0,114,1,1,0,0,114,166,0,0,0,41,3,218,7,103, + 108,111,98,97,108,115,114,120,0,0,0,114,249,0,0,0, 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, + 95,95,4,4,0,0,243,22,0,0,0,0,7,15,1,12, 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, + 1,114,29,1,0,0,99,5,0,0,0,0,0,0,0,9, 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, @@ -1869,30 +1869,30 @@ const unsigned char _Py_M__importlib[] = 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, + 114,41,0,0,0,78,114,165,0,0,0,41,8,114,16,1, + 0,0,114,29,1,0,0,218,9,112,97,114,116,105,116,105, + 111,110,114,247,0,0,0,114,15,0,0,0,114,24,0,0, + 0,114,1,0,0,0,114,25,1,0,0,41,9,114,16,0, + 0,0,114,28,1,0,0,218,6,108,111,99,97,108,115,114, + 23,1,0,0,114,250,0,0,0,114,121,0,0,0,90,8, + 103,108,111,98,97,108,115,95,114,249,0,0,0,90,7,99, 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, + 95,25,4,0,0,243,26,0,0,0,0,11,12,1,15,2, 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, + 35,3,40,2,114,33,1,0,0,99,1,0,0,0,0,0, 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, + 110,97,109,101,100,32,41,4,114,208,0,0,0,114,213,0, + 0,0,114,105,0,0,0,114,205,0,0,0,41,2,114,16, + 0,0,0,114,120,0,0,0,114,10,0,0,0,114,10,0, 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, + 110,95,102,114,111,109,95,110,97,109,101,60,4,0,0,243, + 8,0,0,0,0,1,15,1,12,1,16,1,114,35,1,0, 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, @@ -1931,27 +1931,27 @@ const unsigned char _Py_M__importlib[] = 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, + 32,32,32,114,193,0,0,0,114,42,0,0,0,78,114,86, 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, + 41,16,114,77,0,0,0,114,15,0,0,0,114,14,0,0, + 0,114,24,0,0,0,218,5,105,116,101,109,115,114,4,1, + 0,0,114,104,0,0,0,114,208,0,0,0,114,112,0,0, + 0,114,227,0,0,0,114,181,0,0,0,114,187,0,0,0, + 114,1,0,0,0,114,35,1,0,0,114,5,0,0,0,114, + 105,0,0,0,41,12,218,10,115,121,115,95,109,111,100,117, 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, + 11,109,111,100,117,108,101,95,116,121,112,101,114,16,0,0, + 0,114,121,0,0,0,114,132,0,0,0,114,120,0,0,0, 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, + 112,67,4,0,0,243,50,0,0,0,0,9,6,1,6,3, 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, + 3,1,16,1,13,2,11,1,16,3,12,1,114,40,1,0, 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, @@ -1962,35 +1962,35 @@ const unsigned char _Py_M__importlib[] = 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, + 32,105,109,112,111,114,116,46,114,41,0,0,0,78,41,11, + 114,40,1,0,0,114,15,0,0,0,114,0,1,0,0,114, + 153,0,0,0,114,208,0,0,0,114,227,0,0,0,218,26, 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, + 98,95,101,120,116,101,114,110,97,108,114,161,0,0,0,218, + 8,95,105,110,115,116,97,108,108,114,24,0,0,0,114,1, + 0,0,0,41,3,114,38,1,0,0,114,39,1,0,0,114, + 42,1,0,0,114,10,0,0,0,114,10,0,0,0,114,11, + 0,0,0,114,43,1,0,0,114,4,0,0,243,12,0,0, + 0,0,2,13,2,16,1,16,3,12,1,6,1,114,43,1, + 0,0,41,51,114,3,0,0,0,114,161,0,0,0,114,12, + 0,0,0,114,17,0,0,0,114,19,0,0,0,114,82,0, + 0,0,114,50,0,0,0,114,59,0,0,0,114,38,0,0, + 0,114,40,0,0,0,114,67,0,0,0,114,73,0,0,0, + 114,76,0,0,0,114,88,0,0,0,114,91,0,0,0,114, + 102,0,0,0,114,110,0,0,0,114,115,0,0,0,114,122, + 0,0,0,114,134,0,0,0,114,136,0,0,0,114,145,0, + 0,0,114,117,0,0,0,218,6,111,98,106,101,99,116,90, + 9,95,80,79,80,85,76,65,84,69,114,181,0,0,0,114, + 187,0,0,0,114,196,0,0,0,114,130,0,0,0,114,118, + 0,0,0,114,203,0,0,0,114,205,0,0,0,114,119,0, + 0,0,114,208,0,0,0,114,227,0,0,0,114,242,0,0, + 0,114,251,0,0,0,114,254,0,0,0,114,2,1,0,0, + 114,8,1,0,0,114,22,1,0,0,114,10,1,0,0,114, + 12,1,0,0,114,14,1,0,0,114,16,1,0,0,114,25, + 1,0,0,114,29,1,0,0,114,33,1,0,0,114,35,1, + 0,0,114,40,1,0,0,114,43,1,0,0,114,10,0,0, 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, + 218,8,60,109,111,100,117,108,101,62,8,0,0,0,243,96, 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, diff -r bc625fce0aee Python/importlib_external.h --- a/Python/importlib_external.h Mon Jan 18 08:00:15 2016 +0100 +++ b/Python/importlib_external.h Mon Jan 18 09:59:14 2016 +0100 @@ -1,8 +1,8 @@ /* Auto-generated by Programs/_freeze_importlib.c */ const unsigned char _Py_M__importlib_external[] = { 99,0,0,0,0,0,0,0,0,0,0,0,0,7,0,0, - 0,64,0,0,0,115,210,2,0,0,100,0,0,90,0,0, - 100,92,0,90,1,0,100,4,0,100,5,0,132,0,0,90, + 0,64,0,0,0,115,216,2,0,0,100,0,0,90,0,0, + 100,93,0,90,1,0,100,4,0,100,5,0,132,0,0,90, 2,0,100,6,0,100,7,0,132,0,0,90,3,0,100,8, 0,100,9,0,132,0,0,90,4,0,100,10,0,100,11,0, 132,0,0,90,5,0,100,12,0,100,13,0,132,0,0,90, @@ -14,257 +14,257 @@ const unsigned char _Py_M__importlib_ext 100,25,0,106,15,0,100,26,0,100,27,0,131,2,0,100, 28,0,23,90,16,0,101,17,0,106,18,0,101,16,0,100, 27,0,131,2,0,90,19,0,100,29,0,90,20,0,100,30, - 0,90,21,0,100,31,0,103,1,0,90,22,0,100,32,0, - 103,1,0,90,23,0,101,23,0,4,90,24,0,90,25,0, - 100,33,0,100,34,0,100,33,0,100,35,0,100,36,0,132, - 1,1,90,26,0,100,37,0,100,38,0,132,0,0,90,27, - 0,100,39,0,100,40,0,132,0,0,90,28,0,100,41,0, - 100,42,0,132,0,0,90,29,0,100,43,0,100,44,0,132, - 0,0,90,30,0,100,45,0,100,46,0,132,0,0,90,31, - 0,100,47,0,100,48,0,132,0,0,90,32,0,100,33,0, - 100,33,0,100,33,0,100,49,0,100,50,0,132,3,0,90, - 33,0,100,33,0,100,33,0,100,33,0,100,51,0,100,52, - 0,132,3,0,90,34,0,100,53,0,100,53,0,100,54,0, - 100,55,0,132,2,0,90,35,0,100,56,0,100,57,0,132, - 0,0,90,36,0,101,37,0,131,0,0,90,38,0,100,33, - 0,100,58,0,100,33,0,100,59,0,101,38,0,100,60,0, - 100,61,0,132,1,2,90,39,0,71,100,62,0,100,63,0, - 132,0,0,100,63,0,131,2,0,90,40,0,71,100,64,0, - 100,65,0,132,0,0,100,65,0,131,2,0,90,41,0,71, - 100,66,0,100,67,0,132,0,0,100,67,0,101,41,0,131, - 3,0,90,42,0,71,100,68,0,100,69,0,132,0,0,100, - 69,0,131,2,0,90,43,0,71,100,70,0,100,71,0,132, - 0,0,100,71,0,101,43,0,101,42,0,131,4,0,90,44, - 0,71,100,72,0,100,73,0,132,0,0,100,73,0,101,43, - 0,101,41,0,131,4,0,90,45,0,103,0,0,90,46,0, - 71,100,74,0,100,75,0,132,0,0,100,75,0,101,43,0, - 101,41,0,131,4,0,90,47,0,71,100,76,0,100,77,0, - 132,0,0,100,77,0,131,2,0,90,48,0,71,100,78,0, - 100,79,0,132,0,0,100,79,0,131,2,0,90,49,0,71, - 100,80,0,100,81,0,132,0,0,100,81,0,131,2,0,90, - 50,0,71,100,82,0,100,83,0,132,0,0,100,83,0,131, - 2,0,90,51,0,100,33,0,100,84,0,100,85,0,132,1, - 0,90,52,0,100,86,0,100,87,0,132,0,0,90,53,0, - 100,88,0,100,89,0,132,0,0,90,54,0,100,90,0,100, - 91,0,132,0,0,90,55,0,100,33,0,83,41,93,97,94, - 1,0,0,67,111,114,101,32,105,109,112,108,101,109,101,110, - 116,97,116,105,111,110,32,111,102,32,112,97,116,104,45,98, - 97,115,101,100,32,105,109,112,111,114,116,46,10,10,84,104, - 105,115,32,109,111,100,117,108,101,32,105,115,32,78,79,84, - 32,109,101,97,110,116,32,116,111,32,98,101,32,100,105,114, - 101,99,116,108,121,32,105,109,112,111,114,116,101,100,33,32, - 73,116,32,104,97,115,32,98,101,101,110,32,100,101,115,105, - 103,110,101,100,32,115,117,99,104,10,116,104,97,116,32,105, - 116,32,99,97,110,32,98,101,32,98,111,111,116,115,116,114, - 97,112,112,101,100,32,105,110,116,111,32,80,121,116,104,111, - 110,32,97,115,32,116,104,101,32,105,109,112,108,101,109,101, - 110,116,97,116,105,111,110,32,111,102,32,105,109,112,111,114, - 116,46,32,65,115,10,115,117,99,104,32,105,116,32,114,101, - 113,117,105,114,101,115,32,116,104,101,32,105,110,106,101,99, - 116,105,111,110,32,111,102,32,115,112,101,99,105,102,105,99, - 32,109,111,100,117,108,101,115,32,97,110,100,32,97,116,116, - 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101,108,121,46,115,12,0,0,0,80,89,84,72,79,78,67, - 65,83,69,79,75,41,2,218,3,95,111,115,90,7,101,110, - 118,105,114,111,110,169,0,114,4,0,0,0,114,4,0,0, - 0,250,38,60,102,114,111,122,101,110,32,105,109,112,111,114, - 116,108,105,98,46,95,98,111,111,116,115,116,114,97,112,95, - 101,120,116,101,114,110,97,108,62,218,11,95,114,101,108,97, - 120,95,99,97,115,101,30,0,0,0,115,2,0,0,0,0, - 2,122,37,95,109,97,107,101,95,114,101,108,97,120,95,99, - 97,115,101,46,60,108,111,99,97,108,115,62,46,95,114,101, - 108,97,120,95,99,97,115,101,99,0,0,0,0,0,0,0, - 0,0,0,0,0,1,0,0,0,83,0,0,0,115,4,0, - 0,0,100,1,0,83,41,2,122,53,84,114,117,101,32,105, - 102,32,102,105,108,101,110,97,109,101,115,32,109,117,115,116, - 32,98,101,32,99,104,101,99,107,101,100,32,99,97,115,101, - 45,105,110,115,101,110,115,105,116,105,118,101,108,121,46,70, - 114,4,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,5,0,0,0,114,6,0,0,0,34,0, - 0,0,115,2,0,0,0,0,2,41,4,218,3,115,121,115, - 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46,105,0,64,0,0,41,3,114,3,0,0,0,218,6,103, + 101,116,99,119,100,114,52,0,0,0,41,1,114,42,0,0, + 0,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, + 218,11,95,112,97,116,104,95,105,115,100,105,114,92,0,0, + 0,243,6,0,0,0,0,2,6,1,12,1,114,57,0,0, + 0,105,182,1,0,0,99,3,0,0,0,0,0,0,0,6, + 0,0,0,17,0,0,0,67,0,0,0,115,193,0,0,0, + 100,1,0,106,0,0,124,0,0,116,1,0,124,0,0,131, + 1,0,131,2,0,125,3,0,116,2,0,106,3,0,124,3, + 0,116,2,0,106,4,0,116,2,0,106,5,0,66,116,2, + 0,106,6,0,66,124,2,0,100,2,0,64,131,3,0,125, + 4,0,121,61,0,116,7,0,106,8,0,124,4,0,100,3, + 0,131,2,0,143,20,0,125,5,0,124,5,0,106,9,0, + 124,1,0,131,1,0,1,87,100,4,0,81,82,88,116,2, + 0,106,10,0,124,3,0,124,0,0,131,2,0,1,87,110, + 59,0,4,116,11,0,107,10,0,114,188,0,1,1,1,121, + 17,0,116,2,0,106,12,0,124,3,0,131,1,0,1,87, + 110,18,0,4,116,11,0,107,10,0,114,180,0,1,1,1, + 89,110,1,0,88,130,0,0,89,110,1,0,88,100,4,0, + 83,41,5,122,162,66,101,115,116,45,101,102,102,111,114,116, + 32,102,117,110,99,116,105,111,110,32,116,111,32,119,114,105, + 116,101,32,100,97,116,97,32,116,111,32,97,32,112,97,116, + 104,32,97,116,111,109,105,99,97,108,108,121,46,10,32,32, + 32,32,66,101,32,112,114,101,112,97,114,101,100,32,116,111, + 32,104,97,110,100,108,101,32,97,32,70,105,108,101,69,120, + 105,115,116,115,69,114,114,111,114,32,105,102,32,99,111,110, + 99,117,114,114,101,110,116,32,119,114,105,116,105,110,103,32, + 111,102,32,116,104,101,10,32,32,32,32,116,101,109,112,111, + 114,97,114,121,32,102,105,108,101,32,105,115,32,97,116,116, + 101,109,112,116,101,100,46,122,5,123,125,46,123,125,105,182, + 1,0,0,90,2,119,98,78,41,13,218,6,102,111,114,109, + 97,116,218,2,105,100,114,3,0,0,0,90,4,111,112,101, + 110,90,6,79,95,69,88,67,76,90,7,79,95,67,82,69, + 65,84,90,8,79,95,87,82,79,78,76,89,218,3,95,105, + 111,218,6,70,105,108,101,73,79,218,5,119,114,105,116,101, + 218,7,114,101,112,108,97,99,101,114,49,0,0,0,90,6, + 117,110,108,105,110,107,41,6,114,42,0,0,0,218,4,100, + 97,116,97,114,51,0,0,0,90,8,112,97,116,104,95,116, + 109,112,90,2,102,100,218,4,102,105,108,101,114,4,0,0, + 0,114,4,0,0,0,114,5,0,0,0,218,13,95,119,114, + 105,116,101,95,97,116,111,109,105,99,99,0,0,0,243,26, + 0,0,0,0,5,24,1,9,1,33,1,3,3,21,1,20, + 1,20,1,13,1,3,1,17,1,13,1,5,1,114,67,0, + 0,0,105,32,13,0,0,233,2,0,0,0,114,16,0,0, + 0,115,2,0,0,0,13,10,90,11,95,95,112,121,99,97, + 99,104,101,95,95,122,3,46,112,121,122,4,46,112,121,99, 78,218,12,111,112,116,105,109,105,122,97,116,105,111,110,99, - 2,0,0,0,1,0,0,0,11,0,0,0,6,0,0,0, - 67,0,0,0,115,87,1,0,0,124,1,0,100,1,0,107, + 2,0,0,0,1,0,0,0,12,0,0,0,6,0,0,0, + 67,0,0,0,115,97,1,0,0,124,1,0,100,1,0,107, 9,0,114,76,0,116,0,0,106,1,0,100,2,0,116,2, 0,131,2,0,1,124,2,0,100,1,0,107,9,0,114,58, 0,100,3,0,125,3,0,116,3,0,124,3,0,131,1,0, @@ -277,2305 +277,2341 @@ const unsigned char _Py_M__importlib_ext 130,1,0,100,4,0,106,10,0,124,6,0,114,172,0,124, 6,0,110,3,0,124,8,0,124,7,0,124,9,0,103,3, 0,131,1,0,125,10,0,124,2,0,100,1,0,107,8,0, - 114,241,0,116,6,0,106,11,0,106,12,0,100,8,0,107, - 2,0,114,229,0,100,4,0,125,2,0,110,12,0,116,6, - 0,106,11,0,106,12,0,125,2,0,116,13,0,124,2,0, - 131,1,0,125,2,0,124,2,0,100,4,0,107,3,0,114, - 63,1,124,2,0,106,14,0,131,0,0,115,42,1,116,15, - 0,100,9,0,106,16,0,124,2,0,131,1,0,131,1,0, - 130,1,0,100,10,0,106,16,0,124,10,0,116,17,0,124, - 2,0,131,3,0,125,10,0,116,18,0,124,4,0,116,19, - 0,124,10,0,116,20,0,100,8,0,25,23,131,3,0,83, - 41,11,97,254,2,0,0,71,105,118,101,110,32,116,104,101, - 32,112,97,116,104,32,116,111,32,97,32,46,112,121,32,102, - 105,108,101,44,32,114,101,116,117,114,110,32,116,104,101,32, - 112,97,116,104,32,116,111,32,105,116,115,32,46,112,121,99, - 32,102,105,108,101,46,10,10,32,32,32,32,84,104,101,32, - 46,112,121,32,102,105,108,101,32,100,111,101,115,32,110,111, - 116,32,110,101,101,100,32,116,111,32,101,120,105,115,116,59, - 32,116,104,105,115,32,115,105,109,112,108,121,32,114,101,116, - 117,114,110,115,32,116,104,101,32,112,97,116,104,32,116,111, - 32,116,104,101,10,32,32,32,32,46,112,121,99,32,102,105, - 108,101,32,99,97,108,99,117,108,97,116,101,100,32,97,115, - 32,105,102,32,116,104,101,32,46,112,121,32,102,105,108,101, - 32,119,101,114,101,32,105,109,112,111,114,116,101,100,46,10, - 10,32,32,32,32,84,104,101,32,39,111,112,116,105,109,105, - 122,97,116,105,111,110,39,32,112,97,114,97,109,101,116,101, - 114,32,99,111,110,116,114,111,108,115,32,116,104,101,32,112, - 114,101,115,117,109,101,100,32,111,112,116,105,109,105,122,97, - 116,105,111,110,32,108,101,118,101,108,32,111,102,10,32,32, - 32,32,116,104,101,32,98,121,116,101,99,111,100,101,32,102, - 105,108,101,46,32,73,102,32,39,111,112,116,105,109,105,122, - 97,116,105,111,110,39,32,105,115,32,110,111,116,32,78,111, - 110,101,44,32,116,104,101,32,115,116,114,105,110,103,32,114, - 101,112,114,101,115,101,110,116,97,116,105,111,110,10,32,32, - 32,32,111,102,32,116,104,101,32,97,114,103,117,109,101,110, - 116,32,105,115,32,116,97,107,101,110,32,97,110,100,32,118, - 101,114,105,102,105,101,100,32,116,111,32,98,101,32,97,108, - 112,104,97,110,117,109,101,114,105,99,32,40,101,108,115,101, - 32,86,97,108,117,101,69,114,114,111,114,10,32,32,32,32, - 105,115,32,114,97,105,115,101,100,41,46,10,10,32,32,32, - 32,84,104,101,32,100,101,98,117,103,95,111,118,101,114,114, - 105,100,101,32,112,97,114,97,109,101,116,101,114,32,105,115, - 32,100,101,112,114,101,99,97,116,101,100,46,32,73,102,32, - 100,101,98,117,103,95,111,118,101,114,114,105,100,101,32,105, - 115,32,110,111,116,32,78,111,110,101,44,10,32,32,32,32, - 97,32,84,114,117,101,32,118,97,108,117,101,32,105,115,32, - 116,104,101,32,115,97,109,101,32,97,115,32,115,101,116,116, - 105,110,103,32,39,111,112,116,105,109,105,122,97,116,105,111, - 110,39,32,116,111,32,116,104,101,32,101,109,112,116,121,32, - 115,116,114,105,110,103,10,32,32,32,32,119,104,105,108,101, - 32,97,32,70,97,108,115,101,32,118,97,108,117,101,32,105, - 115,32,101,113,117,105,118,97,108,101,110,116,32,116,111,32, - 115,101,116,116,105,110,103,32,39,111,112,116,105,109,105,122, - 97,116,105,111,110,39,32,116,111,32,39,49,39,46,10,10, - 32,32,32,32,73,102,32,115,121,115,46,105,109,112,108,101, - 109,101,110,116,97,116,105,111,110,46,99,97,99,104,101,95, - 116,97,103,32,105,115,32,78,111,110,101,32,116,104,101,110, - 32,78,111,116,73,109,112,108,101,109,101,110,116,101,100,69, - 114,114,111,114,32,105,115,32,114,97,105,115,101,100,46,10, - 10,32,32,32,32,78,122,70,116,104,101,32,100,101,98,117, - 103,95,111,118,101,114,114,105,100,101,32,112,97,114,97,109, - 101,116,101,114,32,105,115,32,100,101,112,114,101,99,97,116, - 101,100,59,32,117,115,101,32,39,111,112,116,105,109,105,122, - 97,116,105,111,110,39,32,105,110,115,116,101,97,100,122,50, - 100,101,98,117,103,95,111,118,101,114,114,105,100,101,32,111, - 114,32,111,112,116,105,109,105,122,97,116,105,111,110,32,109, - 117,115,116,32,98,101,32,115,101,116,32,116,111,32,78,111, - 110,101,114,30,0,0,0,114,29,0,0,0,218,1,46,122, - 36,115,121,115,46,105,109,112,108,101,109,101,110,116,97,116, - 105,111,110,46,99,97,99,104,101,95,116,97,103,32,105,115, - 32,78,111,110,101,233,0,0,0,0,122,24,123,33,114,125, - 32,105,115,32,110,111,116,32,97,108,112,104,97,110,117,109, - 101,114,105,99,122,7,123,125,46,123,125,123,125,41,21,218, - 9,95,119,97,114,110,105,110,103,115,218,4,119,97,114,110, - 218,18,68,101,112,114,101,99,97,116,105,111,110,87,97,114, - 110,105,110,103,218,9,84,121,112,101,69,114,114,111,114,114, - 38,0,0,0,114,32,0,0,0,114,7,0,0,0,218,14, - 105,109,112,108,101,109,101,110,116,97,116,105,111,110,218,9, - 99,97,99,104,101,95,116,97,103,218,19,78,111,116,73,109, - 112,108,101,109,101,110,116,101,100,69,114,114,111,114,114,26, - 0,0,0,218,5,102,108,97,103,115,218,8,111,112,116,105, - 109,105,122,101,218,3,115,116,114,218,7,105,115,97,108,110, - 117,109,218,10,86,97,108,117,101,69,114,114,111,114,114,47, - 0,0,0,218,4,95,79,80,84,114,28,0,0,0,218,8, - 95,80,89,67,65,67,72,69,218,17,66,89,84,69,67,79, - 68,69,95,83,85,70,70,73,88,69,83,41,11,114,35,0, - 0,0,90,14,100,101,98,117,103,95,111,118,101,114,114,105, - 100,101,114,57,0,0,0,218,7,109,101,115,115,97,103,101, - 218,4,104,101,97,100,114,37,0,0,0,90,4,98,97,115, - 101,218,3,115,101,112,218,4,114,101,115,116,90,3,116,97, - 103,90,15,97,108,109,111,115,116,95,102,105,108,101,110,97, - 109,101,114,4,0,0,0,114,4,0,0,0,114,5,0,0, - 0,218,17,99,97,99,104,101,95,102,114,111,109,95,115,111, - 117,114,99,101,244,0,0,0,115,46,0,0,0,0,18,12, - 1,9,1,7,1,12,1,6,1,12,1,18,1,18,1,24, - 1,12,1,12,1,12,1,36,1,12,1,18,1,9,2,12, - 1,12,1,12,1,12,1,21,1,21,1,114,79,0,0,0, - 99,1,0,0,0,0,0,0,0,8,0,0,0,5,0,0, - 0,67,0,0,0,115,62,1,0,0,116,0,0,106,1,0, - 106,2,0,100,1,0,107,8,0,114,30,0,116,3,0,100, - 2,0,131,1,0,130,1,0,116,4,0,124,0,0,131,1, - 0,92,2,0,125,1,0,125,2,0,116,4,0,124,1,0, - 131,1,0,92,2,0,125,1,0,125,3,0,124,3,0,116, - 5,0,107,3,0,114,102,0,116,6,0,100,3,0,106,7, - 0,116,5,0,124,0,0,131,2,0,131,1,0,130,1,0, - 124,2,0,106,8,0,100,4,0,131,1,0,125,4,0,124, - 4,0,100,11,0,107,7,0,114,153,0,116,6,0,100,7, - 0,106,7,0,124,2,0,131,1,0,131,1,0,130,1,0, - 110,125,0,124,4,0,100,6,0,107,2,0,114,22,1,124, - 2,0,106,9,0,100,4,0,100,5,0,131,2,0,100,12, - 0,25,125,5,0,124,5,0,106,10,0,116,11,0,131,1, - 0,115,223,0,116,6,0,100,8,0,106,7,0,116,11,0, - 131,1,0,131,1,0,130,1,0,124,5,0,116,12,0,116, - 11,0,131,1,0,100,1,0,133,2,0,25,125,6,0,124, - 6,0,106,13,0,131,0,0,115,22,1,116,6,0,100,9, - 0,106,7,0,124,5,0,131,1,0,131,1,0,130,1,0, - 124,2,0,106,14,0,100,4,0,131,1,0,100,10,0,25, - 125,7,0,116,15,0,124,1,0,124,7,0,116,16,0,100, - 10,0,25,23,131,2,0,83,41,13,97,110,1,0,0,71, - 105,118,101,110,32,116,104,101,32,112,97,116,104,32,116,111, - 32,97,32,46,112,121,99,46,32,102,105,108,101,44,32,114, + 114,217,0,116,6,0,106,11,0,106,12,0,125,2,0,110, + 18,0,124,2,0,100,4,0,107,2,0,114,235,0,100,8, + 0,125,2,0,116,13,0,124,2,0,131,1,0,125,2,0, + 124,2,0,100,4,0,107,3,0,114,73,1,124,2,0,106, + 14,0,131,0,0,115,36,1,116,15,0,100,9,0,106,16, + 0,124,2,0,131,1,0,131,1,0,130,1,0,116,6,0, + 106,7,0,106,17,0,100,10,0,23,125,11,0,100,11,0, + 106,16,0,124,10,0,124,11,0,124,2,0,131,3,0,125, + 10,0,116,18,0,124,4,0,116,19,0,124,10,0,116,20, + 0,100,8,0,25,23,131,3,0,83,41,12,97,254,2,0, + 0,71,105,118,101,110,32,116,104,101,32,112,97,116,104,32, + 116,111,32,97,32,46,112,121,32,102,105,108,101,44,32,114, 101,116,117,114,110,32,116,104,101,32,112,97,116,104,32,116, - 111,32,105,116,115,32,46,112,121,32,102,105,108,101,46,10, - 10,32,32,32,32,84,104,101,32,46,112,121,99,32,102,105, + 111,32,105,116,115,32,46,112,121,99,32,102,105,108,101,46, + 10,10,32,32,32,32,84,104,101,32,46,112,121,32,102,105, 108,101,32,100,111,101,115,32,110,111,116,32,110,101,101,100, 32,116,111,32,101,120,105,115,116,59,32,116,104,105,115,32, 115,105,109,112,108,121,32,114,101,116,117,114,110,115,32,116, - 104,101,32,112,97,116,104,32,116,111,10,32,32,32,32,116, - 104,101,32,46,112,121,32,102,105,108,101,32,99,97,108,99, - 117,108,97,116,101,100,32,116,111,32,99,111,114,114,101,115, - 112,111,110,100,32,116,111,32,116,104,101,32,46,112,121,99, - 32,102,105,108,101,46,32,32,73,102,32,112,97,116,104,32, - 100,111,101,115,10,32,32,32,32,110,111,116,32,99,111,110, - 102,111,114,109,32,116,111,32,80,69,80,32,51,49,52,55, - 47,52,56,56,32,102,111,114,109,97,116,44,32,86,97,108, - 117,101,69,114,114,111,114,32,119,105,108,108,32,98,101,32, - 114,97,105,115,101,100,46,32,73,102,10,32,32,32,32,115, - 121,115,46,105,109,112,108,101,109,101,110,116,97,116,105,111, - 110,46,99,97,99,104,101,95,116,97,103,32,105,115,32,78, - 111,110,101,32,116,104,101,110,32,78,111,116,73,109,112,108, - 101,109,101,110,116,101,100,69,114,114,111,114,32,105,115,32, - 114,97,105,115,101,100,46,10,10,32,32,32,32,78,122,36, - 115,121,115,46,105,109,112,108,101,109,101,110,116,97,116,105, - 111,110,46,99,97,99,104,101,95,116,97,103,32,105,115,32, - 78,111,110,101,122,37,123,125,32,110,111,116,32,98,111,116, - 116,111,109,45,108,101,118,101,108,32,100,105,114,101,99,116, - 111,114,121,32,105,110,32,123,33,114,125,114,58,0,0,0, - 114,56,0,0,0,233,3,0,0,0,122,33,101,120,112,101, - 99,116,101,100,32,111,110,108,121,32,50,32,111,114,32,51, - 32,100,111,116,115,32,105,110,32,123,33,114,125,122,57,111, - 112,116,105,109,105,122,97,116,105,111,110,32,112,111,114,116, - 105,111,110,32,111,102,32,102,105,108,101,110,97,109,101,32, - 100,111,101,115,32,110,111,116,32,115,116,97,114,116,32,119, - 105,116,104,32,123,33,114,125,122,52,111,112,116,105,109,105, - 122,97,116,105,111,110,32,108,101,118,101,108,32,123,33,114, - 125,32,105,115,32,110,111,116,32,97,110,32,97,108,112,104, - 97,110,117,109,101,114,105,99,32,118,97,108,117,101,114,59, - 0,0,0,62,2,0,0,0,114,56,0,0,0,114,80,0, - 0,0,233,254,255,255,255,41,17,114,7,0,0,0,114,64, - 0,0,0,114,65,0,0,0,114,66,0,0,0,114,38,0, - 0,0,114,73,0,0,0,114,71,0,0,0,114,47,0,0, - 0,218,5,99,111,117,110,116,114,34,0,0,0,114,9,0, - 0,0,114,72,0,0,0,114,31,0,0,0,114,70,0,0, - 0,218,9,112,97,114,116,105,116,105,111,110,114,28,0,0, - 0,218,15,83,79,85,82,67,69,95,83,85,70,70,73,88, - 69,83,41,8,114,35,0,0,0,114,76,0,0,0,90,16, - 112,121,99,97,99,104,101,95,102,105,108,101,110,97,109,101, - 90,7,112,121,99,97,99,104,101,90,9,100,111,116,95,99, - 111,117,110,116,114,57,0,0,0,90,9,111,112,116,95,108, - 101,118,101,108,90,13,98,97,115,101,95,102,105,108,101,110, - 97,109,101,114,4,0,0,0,114,4,0,0,0,114,5,0, - 0,0,218,17,115,111,117,114,99,101,95,102,114,111,109,95, - 99,97,99,104,101,32,1,0,0,115,44,0,0,0,0,9, - 18,1,12,1,18,1,18,1,12,1,9,1,15,1,15,1, - 12,1,9,1,15,1,12,1,22,1,15,1,9,1,12,1, - 22,1,12,1,9,1,12,1,19,1,114,85,0,0,0,99, - 1,0,0,0,0,0,0,0,5,0,0,0,12,0,0,0, - 67,0,0,0,115,164,0,0,0,116,0,0,124,0,0,131, - 1,0,100,1,0,107,2,0,114,22,0,100,2,0,83,124, - 0,0,106,1,0,100,3,0,131,1,0,92,3,0,125,1, - 0,125,2,0,125,3,0,124,1,0,12,115,81,0,124,3, - 0,106,2,0,131,0,0,100,7,0,100,8,0,133,2,0, - 25,100,6,0,107,3,0,114,85,0,124,0,0,83,121,16, - 0,116,3,0,124,0,0,131,1,0,125,4,0,87,110,40, - 0,4,116,4,0,116,5,0,102,2,0,107,10,0,114,143, - 0,1,1,1,124,0,0,100,2,0,100,9,0,133,2,0, - 25,125,4,0,89,110,1,0,88,116,6,0,124,4,0,131, - 1,0,114,160,0,124,4,0,83,124,0,0,83,41,10,122, - 188,67,111,110,118,101,114,116,32,97,32,98,121,116,101,99, - 111,100,101,32,102,105,108,101,32,112,97,116,104,32,116,111, - 32,97,32,115,111,117,114,99,101,32,112,97,116,104,32,40, - 105,102,32,112,111,115,115,105,98,108,101,41,46,10,10,32, - 32,32,32,84,104,105,115,32,102,117,110,99,116,105,111,110, - 32,101,120,105,115,116,115,32,112,117,114,101,108,121,32,102, - 111,114,32,98,97,99,107,119,97,114,100,115,45,99,111,109, - 112,97,116,105,98,105,108,105,116,121,32,102,111,114,10,32, - 32,32,32,80,121,73,109,112,111,114,116,95,69,120,101,99, - 67,111,100,101,77,111,100,117,108,101,87,105,116,104,70,105, - 108,101,110,97,109,101,115,40,41,32,105,110,32,116,104,101, - 32,67,32,65,80,73,46,10,10,32,32,32,32,114,59,0, - 0,0,78,114,58,0,0,0,114,80,0,0,0,114,29,0, - 0,0,90,2,112,121,233,253,255,255,255,233,255,255,255,255, - 114,87,0,0,0,41,7,114,31,0,0,0,114,32,0,0, - 0,218,5,108,111,119,101,114,114,85,0,0,0,114,66,0, - 0,0,114,71,0,0,0,114,44,0,0,0,41,5,218,13, - 98,121,116,101,99,111,100,101,95,112,97,116,104,114,78,0, - 0,0,114,36,0,0,0,90,9,101,120,116,101,110,115,105, - 111,110,218,11,115,111,117,114,99,101,95,112,97,116,104,114, - 4,0,0,0,114,4,0,0,0,114,5,0,0,0,218,15, - 95,103,101,116,95,115,111,117,114,99,101,102,105,108,101,65, - 1,0,0,115,20,0,0,0,0,7,18,1,4,1,24,1, - 35,1,4,1,3,1,16,1,19,1,21,1,114,91,0,0, - 0,99,1,0,0,0,0,0,0,0,1,0,0,0,11,0, - 0,0,67,0,0,0,115,92,0,0,0,124,0,0,106,0, - 0,116,1,0,116,2,0,131,1,0,131,1,0,114,59,0, - 121,14,0,116,3,0,124,0,0,131,1,0,83,87,113,88, - 0,4,116,4,0,107,10,0,114,55,0,1,1,1,89,113, - 88,0,88,110,29,0,124,0,0,106,0,0,116,1,0,116, - 5,0,131,1,0,131,1,0,114,84,0,124,0,0,83,100, - 0,0,83,100,0,0,83,41,1,78,41,6,218,8,101,110, - 100,115,119,105,116,104,218,5,116,117,112,108,101,114,84,0, - 0,0,114,79,0,0,0,114,66,0,0,0,114,74,0,0, - 0,41,1,218,8,102,105,108,101,110,97,109,101,114,4,0, - 0,0,114,4,0,0,0,114,5,0,0,0,218,11,95,103, - 101,116,95,99,97,99,104,101,100,84,1,0,0,115,16,0, - 0,0,0,1,21,1,3,1,14,1,13,1,8,1,21,1, - 4,2,114,95,0,0,0,99,1,0,0,0,0,0,0,0, - 2,0,0,0,11,0,0,0,67,0,0,0,115,60,0,0, - 0,121,19,0,116,0,0,124,0,0,131,1,0,106,1,0, - 125,1,0,87,110,24,0,4,116,2,0,107,10,0,114,45, - 0,1,1,1,100,1,0,125,1,0,89,110,1,0,88,124, - 1,0,100,2,0,79,125,1,0,124,1,0,83,41,3,122, - 51,67,97,108,99,117,108,97,116,101,32,116,104,101,32,109, - 111,100,101,32,112,101,114,109,105,115,115,105,111,110,115,32, - 102,111,114,32,97,32,98,121,116,101,99,111,100,101,32,102, - 105,108,101,46,105,182,1,0,0,233,128,0,0,0,41,3, - 114,39,0,0,0,114,41,0,0,0,114,40,0,0,0,41, - 2,114,35,0,0,0,114,42,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,218,10,95,99,97,108, - 99,95,109,111,100,101,96,1,0,0,115,12,0,0,0,0, - 2,3,1,19,1,13,1,11,3,10,1,114,97,0,0,0, - 99,1,0,0,0,0,0,0,0,3,0,0,0,11,0,0, - 0,3,0,0,0,115,84,0,0,0,100,1,0,135,0,0, - 102,1,0,100,2,0,100,3,0,134,1,0,125,1,0,121, - 13,0,116,0,0,106,1,0,125,2,0,87,110,30,0,4, - 116,2,0,107,10,0,114,66,0,1,1,1,100,4,0,100, - 5,0,132,0,0,125,2,0,89,110,1,0,88,124,2,0, - 124,1,0,136,0,0,131,2,0,1,124,1,0,83,41,6, - 122,252,68,101,99,111,114,97,116,111,114,32,116,111,32,118, - 101,114,105,102,121,32,116,104,97,116,32,116,104,101,32,109, - 111,100,117,108,101,32,98,101,105,110,103,32,114,101,113,117, - 101,115,116,101,100,32,109,97,116,99,104,101,115,32,116,104, - 101,32,111,110,101,32,116,104,101,10,32,32,32,32,108,111, - 97,100,101,114,32,99,97,110,32,104,97,110,100,108,101,46, - 10,10,32,32,32,32,84,104,101,32,102,105,114,115,116,32, - 97,114,103,117,109,101,110,116,32,40,115,101,108,102,41,32, - 109,117,115,116,32,100,101,102,105,110,101,32,95,110,97,109, - 101,32,119,104,105,99,104,32,116,104,101,32,115,101,99,111, - 110,100,32,97,114,103,117,109,101,110,116,32,105,115,10,32, - 32,32,32,99,111,109,112,97,114,101,100,32,97,103,97,105, - 110,115,116,46,32,73,102,32,116,104,101,32,99,111,109,112, - 97,114,105,115,111,110,32,102,97,105,108,115,32,116,104,101, - 110,32,73,109,112,111,114,116,69,114,114,111,114,32,105,115, - 32,114,97,105,115,101,100,46,10,10,32,32,32,32,78,99, - 2,0,0,0,0,0,0,0,4,0,0,0,5,0,0,0, - 31,0,0,0,115,89,0,0,0,124,1,0,100,0,0,107, - 8,0,114,24,0,124,0,0,106,0,0,125,1,0,110,46, - 0,124,0,0,106,0,0,124,1,0,107,3,0,114,70,0, - 116,1,0,100,1,0,124,0,0,106,0,0,124,1,0,102, - 2,0,22,100,2,0,124,1,0,131,1,1,130,1,0,136, - 0,0,124,0,0,124,1,0,124,2,0,124,3,0,142,2, - 0,83,41,3,78,122,30,108,111,97,100,101,114,32,102,111, - 114,32,37,115,32,99,97,110,110,111,116,32,104,97,110,100, - 108,101,32,37,115,218,4,110,97,109,101,41,2,114,98,0, - 0,0,218,11,73,109,112,111,114,116,69,114,114,111,114,41, - 4,218,4,115,101,108,102,114,98,0,0,0,218,4,97,114, - 103,115,90,6,107,119,97,114,103,115,41,1,218,6,109,101, - 116,104,111,100,114,4,0,0,0,114,5,0,0,0,218,19, - 95,99,104,101,99,107,95,110,97,109,101,95,119,114,97,112, - 112,101,114,116,1,0,0,115,12,0,0,0,0,1,12,1, - 12,1,15,1,6,1,25,1,122,40,95,99,104,101,99,107, - 95,110,97,109,101,46,60,108,111,99,97,108,115,62,46,95, - 99,104,101,99,107,95,110,97,109,101,95,119,114,97,112,112, - 101,114,99,2,0,0,0,0,0,0,0,3,0,0,0,7, - 0,0,0,83,0,0,0,115,92,0,0,0,120,66,0,100, - 1,0,100,2,0,100,3,0,100,4,0,103,4,0,68,93, - 46,0,125,2,0,116,0,0,124,1,0,124,2,0,131,2, - 0,114,19,0,116,1,0,124,0,0,124,2,0,116,2,0, - 124,1,0,124,2,0,131,2,0,131,3,0,1,113,19,0, - 87,124,0,0,106,3,0,106,4,0,124,1,0,106,3,0, - 131,1,0,1,100,0,0,83,41,5,78,218,10,95,95,109, - 111,100,117,108,101,95,95,218,8,95,95,110,97,109,101,95, - 95,218,12,95,95,113,117,97,108,110,97,109,101,95,95,218, - 7,95,95,100,111,99,95,95,41,5,218,7,104,97,115,97, - 116,116,114,218,7,115,101,116,97,116,116,114,218,7,103,101, - 116,97,116,116,114,218,8,95,95,100,105,99,116,95,95,218, - 6,117,112,100,97,116,101,41,3,90,3,110,101,119,90,3, - 111,108,100,114,52,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,5,0,0,0,218,5,95,119,114,97,112,127,1, - 0,0,115,8,0,0,0,0,1,25,1,15,1,29,1,122, - 26,95,99,104,101,99,107,95,110,97,109,101,46,60,108,111, - 99,97,108,115,62,46,95,119,114,97,112,41,3,218,10,95, - 98,111,111,116,115,116,114,97,112,114,113,0,0,0,218,9, - 78,97,109,101,69,114,114,111,114,41,3,114,102,0,0,0, - 114,103,0,0,0,114,113,0,0,0,114,4,0,0,0,41, - 1,114,102,0,0,0,114,5,0,0,0,218,11,95,99,104, - 101,99,107,95,110,97,109,101,108,1,0,0,115,14,0,0, - 0,0,8,21,7,3,1,13,1,13,2,17,5,13,1,114, - 116,0,0,0,99,2,0,0,0,0,0,0,0,5,0,0, - 0,4,0,0,0,67,0,0,0,115,84,0,0,0,124,0, - 0,106,0,0,124,1,0,131,1,0,92,2,0,125,2,0, - 125,3,0,124,2,0,100,1,0,107,8,0,114,80,0,116, - 1,0,124,3,0,131,1,0,114,80,0,100,2,0,125,4, - 0,116,2,0,106,3,0,124,4,0,106,4,0,124,3,0, - 100,3,0,25,131,1,0,116,5,0,131,2,0,1,124,2, - 0,83,41,4,122,155,84,114,121,32,116,111,32,102,105,110, - 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, - 117,108,101,32,98,121,32,100,101,108,101,103,97,116,105,110, - 103,32,116,111,10,32,32,32,32,115,101,108,102,46,102,105, - 110,100,95,108,111,97,100,101,114,40,41,46,10,10,32,32, - 32,32,84,104,105,115,32,109,101,116,104,111,100,32,105,115, - 32,100,101,112,114,101,99,97,116,101,100,32,105,110,32,102, - 97,118,111,114,32,111,102,32,102,105,110,100,101,114,46,102, - 105,110,100,95,115,112,101,99,40,41,46,10,10,32,32,32, - 32,78,122,44,78,111,116,32,105,109,112,111,114,116,105,110, - 103,32,100,105,114,101,99,116,111,114,121,32,123,125,58,32, - 109,105,115,115,105,110,103,32,95,95,105,110,105,116,95,95, - 114,59,0,0,0,41,6,218,11,102,105,110,100,95,108,111, - 97,100,101,114,114,31,0,0,0,114,60,0,0,0,114,61, - 0,0,0,114,47,0,0,0,218,13,73,109,112,111,114,116, - 87,97,114,110,105,110,103,41,5,114,100,0,0,0,218,8, - 102,117,108,108,110,97,109,101,218,6,108,111,97,100,101,114, - 218,8,112,111,114,116,105,111,110,115,218,3,109,115,103,114, - 4,0,0,0,114,4,0,0,0,114,5,0,0,0,218,17, - 95,102,105,110,100,95,109,111,100,117,108,101,95,115,104,105, - 109,136,1,0,0,115,10,0,0,0,0,10,21,1,24,1, - 6,1,29,1,114,123,0,0,0,99,4,0,0,0,0,0, - 0,0,11,0,0,0,19,0,0,0,67,0,0,0,115,252, - 1,0,0,105,0,0,125,4,0,124,2,0,100,1,0,107, - 9,0,114,31,0,124,2,0,124,4,0,100,2,0,60,110, - 6,0,100,3,0,125,2,0,124,3,0,100,1,0,107,9, - 0,114,59,0,124,3,0,124,4,0,100,4,0,60,124,0, - 0,100,1,0,100,5,0,133,2,0,25,125,5,0,124,0, - 0,100,5,0,100,6,0,133,2,0,25,125,6,0,124,0, - 0,100,6,0,100,7,0,133,2,0,25,125,7,0,124,5, - 0,116,0,0,107,3,0,114,171,0,100,8,0,106,1,0, - 124,2,0,124,5,0,131,2,0,125,8,0,116,2,0,106, - 3,0,100,9,0,124,8,0,131,2,0,1,116,4,0,124, - 8,0,124,4,0,141,1,0,130,1,0,110,125,0,116,5, - 0,124,6,0,131,1,0,100,5,0,107,3,0,114,235,0, - 100,10,0,106,1,0,124,2,0,131,1,0,125,8,0,116, - 2,0,106,3,0,100,9,0,124,8,0,131,2,0,1,116, - 6,0,124,8,0,131,1,0,130,1,0,110,61,0,116,5, - 0,124,7,0,131,1,0,100,5,0,107,3,0,114,40,1, - 100,11,0,106,1,0,124,2,0,131,1,0,125,8,0,116, - 2,0,106,3,0,100,9,0,124,8,0,131,2,0,1,116, - 6,0,124,8,0,131,1,0,130,1,0,124,1,0,100,1, - 0,107,9,0,114,238,1,121,20,0,116,7,0,124,1,0, - 100,12,0,25,131,1,0,125,9,0,87,110,18,0,4,116, - 8,0,107,10,0,114,92,1,1,1,1,89,110,65,0,88, - 116,9,0,124,6,0,131,1,0,124,9,0,107,3,0,114, - 157,1,100,13,0,106,1,0,124,2,0,131,1,0,125,8, - 0,116,2,0,106,3,0,100,9,0,124,8,0,131,2,0, - 1,116,4,0,124,8,0,124,4,0,141,1,0,130,1,0, - 121,18,0,124,1,0,100,14,0,25,100,15,0,64,125,10, - 0,87,110,18,0,4,116,8,0,107,10,0,114,195,1,1, - 1,1,89,110,43,0,88,116,9,0,124,7,0,131,1,0, - 124,10,0,107,3,0,114,238,1,116,4,0,100,13,0,106, - 1,0,124,2,0,131,1,0,124,4,0,141,1,0,130,1, - 0,124,0,0,100,7,0,100,1,0,133,2,0,25,83,41, - 16,97,122,1,0,0,86,97,108,105,100,97,116,101,32,116, - 104,101,32,104,101,97,100,101,114,32,111,102,32,116,104,101, - 32,112,97,115,115,101,100,45,105,110,32,98,121,116,101,99, - 111,100,101,32,97,103,97,105,110,115,116,32,115,111,117,114, - 99,101,95,115,116,97,116,115,32,40,105,102,10,32,32,32, - 32,103,105,118,101,110,41,32,97,110,100,32,114,101,116,117, - 114,110,105,110,103,32,116,104,101,32,98,121,116,101,99,111, - 100,101,32,116,104,97,116,32,99,97,110,32,98,101,32,99, - 111,109,112,105,108,101,100,32,98,121,32,99,111,109,112,105, - 108,101,40,41,46,10,10,32,32,32,32,65,108,108,32,111, - 116,104,101,114,32,97,114,103,117,109,101,110,116,115,32,97, - 114,101,32,117,115,101,100,32,116,111,32,101,110,104,97,110, - 99,101,32,101,114,114,111,114,32,114,101,112,111,114,116,105, - 110,103,46,10,10,32,32,32,32,73,109,112,111,114,116,69, - 114,114,111,114,32,105,115,32,114,97,105,115,101,100,32,119, - 104,101,110,32,116,104,101,32,109,97,103,105,99,32,110,117, - 109,98,101,114,32,105,115,32,105,110,99,111,114,114,101,99, - 116,32,111,114,32,116,104,101,32,98,121,116,101,99,111,100, - 101,32,105,115,10,32,32,32,32,102,111,117,110,100,32,116, - 111,32,98,101,32,115,116,97,108,101,46,32,69,79,70,69, - 114,114,111,114,32,105,115,32,114,97,105,115,101,100,32,119, - 104,101,110,32,116,104,101,32,100,97,116,97,32,105,115,32, - 102,111,117,110,100,32,116,111,32,98,101,10,32,32,32,32, - 116,114,117,110,99,97,116,101,100,46,10,10,32,32,32,32, - 78,114,98,0,0,0,122,10,60,98,121,116,101,99,111,100, - 101,62,114,35,0,0,0,114,12,0,0,0,233,8,0,0, - 0,233,12,0,0,0,122,30,98,97,100,32,109,97,103,105, - 99,32,110,117,109,98,101,114,32,105,110,32,123,33,114,125, - 58,32,123,33,114,125,122,2,123,125,122,43,114,101,97,99, - 104,101,100,32,69,79,70,32,119,104,105,108,101,32,114,101, - 97,100,105,110,103,32,116,105,109,101,115,116,97,109,112,32, - 105,110,32,123,33,114,125,122,48,114,101,97,99,104,101,100, - 32,69,79,70,32,119,104,105,108,101,32,114,101,97,100,105, - 110,103,32,115,105,122,101,32,111,102,32,115,111,117,114,99, - 101,32,105,110,32,123,33,114,125,218,5,109,116,105,109,101, - 122,26,98,121,116,101,99,111,100,101,32,105,115,32,115,116, - 97,108,101,32,102,111,114,32,123,33,114,125,218,4,115,105, - 122,101,108,3,0,0,0,255,127,255,127,3,0,41,10,218, - 12,77,65,71,73,67,95,78,85,77,66,69,82,114,47,0, - 0,0,114,114,0,0,0,218,16,95,118,101,114,98,111,115, - 101,95,109,101,115,115,97,103,101,114,99,0,0,0,114,31, - 0,0,0,218,8,69,79,70,69,114,114,111,114,114,14,0, - 0,0,218,8,75,101,121,69,114,114,111,114,114,19,0,0, - 0,41,11,114,53,0,0,0,218,12,115,111,117,114,99,101, - 95,115,116,97,116,115,114,98,0,0,0,114,35,0,0,0, - 90,11,101,120,99,95,100,101,116,97,105,108,115,90,5,109, - 97,103,105,99,90,13,114,97,119,95,116,105,109,101,115,116, - 97,109,112,90,8,114,97,119,95,115,105,122,101,114,75,0, - 0,0,218,12,115,111,117,114,99,101,95,109,116,105,109,101, - 218,11,115,111,117,114,99,101,95,115,105,122,101,114,4,0, - 0,0,114,4,0,0,0,114,5,0,0,0,218,25,95,118, - 97,108,105,100,97,116,101,95,98,121,116,101,99,111,100,101, - 95,104,101,97,100,101,114,153,1,0,0,115,76,0,0,0, - 0,11,6,1,12,1,13,3,6,1,12,1,10,1,16,1, - 16,1,16,1,12,1,18,1,16,1,18,1,18,1,15,1, - 16,1,15,1,18,1,15,1,16,1,12,1,12,1,3,1, - 20,1,13,1,5,2,18,1,15,1,16,1,15,1,3,1, - 18,1,13,1,5,2,18,1,15,1,9,1,114,135,0,0, - 0,99,4,0,0,0,0,0,0,0,5,0,0,0,6,0, - 0,0,67,0,0,0,115,115,0,0,0,116,0,0,106,1, - 0,124,0,0,131,1,0,125,4,0,116,2,0,124,4,0, - 116,3,0,131,2,0,114,78,0,116,4,0,106,5,0,100, - 1,0,124,2,0,131,2,0,1,124,3,0,100,2,0,107, - 9,0,114,74,0,116,6,0,106,7,0,124,4,0,124,3, - 0,131,2,0,1,124,4,0,83,116,8,0,100,3,0,106, - 9,0,124,2,0,131,1,0,100,4,0,124,1,0,100,5, - 0,124,2,0,131,1,2,130,1,0,100,2,0,83,41,6, - 122,60,67,111,109,112,105,108,101,32,98,121,116,101,99,111, - 100,101,32,97,115,32,114,101,116,117,114,110,101,100,32,98, - 121,32,95,118,97,108,105,100,97,116,101,95,98,121,116,101, - 99,111,100,101,95,104,101,97,100,101,114,40,41,46,122,21, - 99,111,100,101,32,111,98,106,101,99,116,32,102,114,111,109, - 32,123,33,114,125,78,122,23,78,111,110,45,99,111,100,101, - 32,111,98,106,101,99,116,32,105,110,32,123,33,114,125,114, - 98,0,0,0,114,35,0,0,0,41,10,218,7,109,97,114, - 115,104,97,108,90,5,108,111,97,100,115,218,10,105,115,105, - 110,115,116,97,110,99,101,218,10,95,99,111,100,101,95,116, - 121,112,101,114,114,0,0,0,114,129,0,0,0,218,4,95, - 105,109,112,90,16,95,102,105,120,95,99,111,95,102,105,108, - 101,110,97,109,101,114,99,0,0,0,114,47,0,0,0,41, - 5,114,53,0,0,0,114,98,0,0,0,114,89,0,0,0, - 114,90,0,0,0,218,4,99,111,100,101,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,218,17,95,99,111,109, - 112,105,108,101,95,98,121,116,101,99,111,100,101,208,1,0, - 0,115,16,0,0,0,0,2,15,1,15,1,16,1,12,1, - 16,1,4,2,18,1,114,141,0,0,0,114,59,0,0,0, - 99,3,0,0,0,0,0,0,0,4,0,0,0,3,0,0, - 0,67,0,0,0,115,76,0,0,0,116,0,0,116,1,0, - 131,1,0,125,3,0,124,3,0,106,2,0,116,3,0,124, - 1,0,131,1,0,131,1,0,1,124,3,0,106,2,0,116, - 3,0,124,2,0,131,1,0,131,1,0,1,124,3,0,106, - 2,0,116,4,0,106,5,0,124,0,0,131,1,0,131,1, - 0,1,124,3,0,83,41,1,122,80,67,111,109,112,105,108, - 101,32,97,32,99,111,100,101,32,111,98,106,101,99,116,32, - 105,110,116,111,32,98,121,116,101,99,111,100,101,32,102,111, - 114,32,119,114,105,116,105,110,103,32,111,117,116,32,116,111, - 32,97,32,98,121,116,101,45,99,111,109,112,105,108,101,100, - 10,32,32,32,32,102,105,108,101,46,41,6,218,9,98,121, - 116,101,97,114,114,97,121,114,128,0,0,0,218,6,101,120, - 116,101,110,100,114,17,0,0,0,114,136,0,0,0,90,5, - 100,117,109,112,115,41,4,114,140,0,0,0,114,126,0,0, - 0,114,134,0,0,0,114,53,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,218,17,95,99,111,100, - 101,95,116,111,95,98,121,116,101,99,111,100,101,220,1,0, - 0,115,10,0,0,0,0,3,12,1,19,1,19,1,22,1, - 114,144,0,0,0,99,1,0,0,0,0,0,0,0,5,0, - 0,0,4,0,0,0,67,0,0,0,115,89,0,0,0,100, - 1,0,100,2,0,108,0,0,125,1,0,116,1,0,106,2, - 0,124,0,0,131,1,0,106,3,0,125,2,0,124,1,0, - 106,4,0,124,2,0,131,1,0,125,3,0,116,1,0,106, - 5,0,100,2,0,100,3,0,131,2,0,125,4,0,124,4, - 0,106,6,0,124,0,0,106,6,0,124,3,0,100,1,0, - 25,131,1,0,131,1,0,83,41,4,122,121,68,101,99,111, - 100,101,32,98,121,116,101,115,32,114,101,112,114,101,115,101, - 110,116,105,110,103,32,115,111,117,114,99,101,32,99,111,100, - 101,32,97,110,100,32,114,101,116,117,114,110,32,116,104,101, - 32,115,116,114,105,110,103,46,10,10,32,32,32,32,85,110, - 105,118,101,114,115,97,108,32,110,101,119,108,105,110,101,32, - 115,117,112,112,111,114,116,32,105,115,32,117,115,101,100,32, - 105,110,32,116,104,101,32,100,101,99,111,100,105,110,103,46, - 10,32,32,32,32,114,59,0,0,0,78,84,41,7,218,8, - 116,111,107,101,110,105,122,101,114,49,0,0,0,90,7,66, - 121,116,101,115,73,79,90,8,114,101,97,100,108,105,110,101, - 90,15,100,101,116,101,99,116,95,101,110,99,111,100,105,110, - 103,90,25,73,110,99,114,101,109,101,110,116,97,108,78,101, - 119,108,105,110,101,68,101,99,111,100,101,114,218,6,100,101, - 99,111,100,101,41,5,218,12,115,111,117,114,99,101,95,98, - 121,116,101,115,114,145,0,0,0,90,21,115,111,117,114,99, - 101,95,98,121,116,101,115,95,114,101,97,100,108,105,110,101, - 218,8,101,110,99,111,100,105,110,103,90,15,110,101,119,108, - 105,110,101,95,100,101,99,111,100,101,114,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,218,13,100,101,99,111, - 100,101,95,115,111,117,114,99,101,230,1,0,0,115,10,0, - 0,0,0,5,12,1,18,1,15,1,18,1,114,149,0,0, - 0,114,120,0,0,0,218,26,115,117,98,109,111,100,117,108, - 101,95,115,101,97,114,99,104,95,108,111,99,97,116,105,111, - 110,115,99,2,0,0,0,2,0,0,0,9,0,0,0,19, - 0,0,0,67,0,0,0,115,89,1,0,0,124,1,0,100, - 1,0,107,8,0,114,73,0,100,2,0,125,1,0,116,0, - 0,124,2,0,100,3,0,131,2,0,114,73,0,121,19,0, - 124,2,0,106,1,0,124,0,0,131,1,0,125,1,0,87, - 110,18,0,4,116,2,0,107,10,0,114,72,0,1,1,1, - 89,110,1,0,88,116,3,0,106,4,0,124,0,0,124,2, - 0,100,4,0,124,1,0,131,2,1,125,4,0,100,5,0, - 124,4,0,95,5,0,124,2,0,100,1,0,107,8,0,114, - 194,0,120,73,0,116,6,0,131,0,0,68,93,58,0,92, - 2,0,125,5,0,125,6,0,124,1,0,106,7,0,116,8, - 0,124,6,0,131,1,0,131,1,0,114,128,0,124,5,0, - 124,0,0,124,1,0,131,2,0,125,2,0,124,2,0,124, - 4,0,95,9,0,80,113,128,0,87,100,1,0,83,124,3, - 0,116,10,0,107,8,0,114,23,1,116,0,0,124,2,0, - 100,6,0,131,2,0,114,32,1,121,19,0,124,2,0,106, - 11,0,124,0,0,131,1,0,125,7,0,87,110,18,0,4, - 116,2,0,107,10,0,114,4,1,1,1,1,89,113,32,1, - 88,124,7,0,114,32,1,103,0,0,124,4,0,95,12,0, - 110,9,0,124,3,0,124,4,0,95,12,0,124,4,0,106, - 12,0,103,0,0,107,2,0,114,85,1,124,1,0,114,85, - 1,116,13,0,124,1,0,131,1,0,100,7,0,25,125,8, - 0,124,4,0,106,12,0,106,14,0,124,8,0,131,1,0, - 1,124,4,0,83,41,8,97,61,1,0,0,82,101,116,117, - 114,110,32,97,32,109,111,100,117,108,101,32,115,112,101,99, - 32,98,97,115,101,100,32,111,110,32,97,32,102,105,108,101, - 32,108,111,99,97,116,105,111,110,46,10,10,32,32,32,32, - 84,111,32,105,110,100,105,99,97,116,101,32,116,104,97,116, - 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101,95,98,121,116,101,99,111,100,101,114,144,0,0,0,114, - 31,0,0,0,114,193,0,0,0,41,10,114,100,0,0,0, - 114,119,0,0,0,114,90,0,0,0,114,133,0,0,0,114, - 89,0,0,0,218,2,115,116,114,53,0,0,0,218,10,98, - 121,116,101,115,95,100,97,116,97,114,147,0,0,0,90,11, - 99,111,100,101,95,111,98,106,101,99,116,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,181,0,0,0,208, - 2,0,0,115,78,0,0,0,0,7,15,1,6,1,3,1, - 16,1,13,1,11,2,3,1,19,1,13,1,5,2,16,1, - 3,1,19,1,13,1,5,2,3,1,9,1,12,1,13,1, - 19,1,5,2,12,1,7,1,15,1,6,1,7,1,15,1, - 18,1,16,1,22,1,12,1,9,1,15,1,3,1,19,1, - 20,1,13,1,5,1,122,21,83,111,117,114,99,101,76,111, - 97,100,101,114,46,103,101,116,95,99,111,100,101,78,114,87, - 0,0,0,41,10,114,105,0,0,0,114,104,0,0,0,114, - 106,0,0,0,114,190,0,0,0,114,191,0,0,0,114,193, - 0,0,0,114,192,0,0,0,114,196,0,0,0,114,200,0, - 0,0,114,181,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,5,0,0,0,114,188,0,0,0, - 150,2,0,0,115,14,0,0,0,12,2,12,8,12,13,12, - 10,12,7,12,10,18,8,114,188,0,0,0,99,0,0,0, - 0,0,0,0,0,0,0,0,0,4,0,0,0,0,0,0, - 0,115,112,0,0,0,101,0,0,90,1,0,100,0,0,90, - 2,0,100,1,0,90,3,0,100,2,0,100,3,0,132,0, - 0,90,4,0,100,4,0,100,5,0,132,0,0,90,5,0, - 100,6,0,100,7,0,132,0,0,90,6,0,101,7,0,135, - 0,0,102,1,0,100,8,0,100,9,0,134,0,0,131,1, - 0,90,8,0,101,7,0,100,10,0,100,11,0,132,0,0, - 131,1,0,90,9,0,100,12,0,100,13,0,132,0,0,90, - 10,0,135,0,0,83,41,14,218,10,70,105,108,101,76,111, - 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, - 99,104,32,105,109,112,108,101,109,101,110,116,115,32,116,104, - 101,32,108,111,97,100,101,114,32,112,114,111,116,111,99,111, - 108,32,109,101,116,104,111,100,115,32,116,104,97,116,10,32, - 32,32,32,114,101,113,117,105,114,101,32,102,105,108,101,32, - 115,121,115,116,101,109,32,117,115,97,103,101,46,99,3,0, - 0,0,0,0,0,0,3,0,0,0,2,0,0,0,67,0, - 0,0,115,22,0,0,0,124,1,0,124,0,0,95,0,0, - 124,2,0,124,0,0,95,1,0,100,1,0,83,41,2,122, - 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95,95,101,113,95,95,99,1,0,0,0,0,0,0,0,1, - 0,0,0,3,0,0,0,67,0,0,0,115,26,0,0,0, - 116,0,0,124,0,0,106,1,0,131,1,0,116,0,0,124, - 0,0,106,2,0,131,1,0,65,83,41,1,78,41,3,218, - 4,104,97,115,104,114,98,0,0,0,114,35,0,0,0,41, - 1,114,100,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,5,0,0,0,218,8,95,95,104,97,115,104,95,95,19, - 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, - 3,0,0,0,115,22,0,0,0,116,0,0,116,1,0,124, - 0,0,131,2,0,106,2,0,124,1,0,131,1,0,83,41, - 1,122,100,76,111,97,100,32,97,32,109,111,100,117,108,101, - 32,102,114,111,109,32,97,32,102,105,108,101,46,10,10,32, + 0,0,1,0,0,0,67,0,0,0,115,4,0,0,0,100, + 0,0,83,41,1,78,114,4,0,0,0,41,2,114,119,0, + 0,0,114,219,0,0,0,114,4,0,0,0,114,4,0,0, + 0,114,5,0,0,0,114,220,0,0,0,5,4,0,0,243, + 2,0,0,0,0,1,122,28,95,78,97,109,101,115,112,97, + 99,101,76,111,97,100,101,114,46,101,120,101,99,95,109,111, + 100,117,108,101,99,2,0,0,0,0,0,0,0,2,0,0, + 0,3,0,0,0,67,0,0,0,115,35,0,0,0,116,0, + 0,106,1,0,100,1,0,124,0,0,106,2,0,131,2,0, + 1,116,0,0,106,3,0,124,0,0,124,1,0,131,2,0, + 83,41,2,122,98,76,111,97,100,32,97,32,110,97,109,101, + 115,112,97,99,101,32,109,111,100,117,108,101,46,10,10,32, 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, 46,32,32,85,115,101,32,101,120,101,99,95,109,111,100,117, 108,101,40,41,32,105,110,115,116,101,97,100,46,10,10,32, - 32,32,32,32,32,32,32,41,3,218,5,115,117,112,101,114, - 114,204,0,0,0,114,187,0,0,0,41,2,114,100,0,0, - 0,114,119,0,0,0,41,1,114,205,0,0,0,114,4,0, - 0,0,114,5,0,0,0,114,187,0,0,0,22,3,0,0, - 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, - 67,0,0,0,115,7,0,0,0,124,0,0,106,0,0,83, - 41,1,122,58,82,101,116,117,114,110,32,116,104,101,32,112, - 97,116,104,32,116,111,32,116,104,101,32,115,111,117,114,99, - 101,32,102,105,108,101,32,97,115,32,102,111,117,110,100,32, - 98,121,32,116,104,101,32,102,105,110,100,101,114,46,41,1, - 114,35,0,0,0,41,2,114,100,0,0,0,114,119,0,0, + 32,32,32,32,32,32,32,122,38,110,97,109,101,115,112,97, + 99,101,32,109,111,100,117,108,101,32,108,111,97,100,101,100, + 32,119,105,116,104,32,112,97,116,104,32,123,33,114,125,41, + 4,114,135,0,0,0,114,152,0,0,0,114,45,1,0,0, + 114,222,0,0,0,41,2,114,119,0,0,0,114,141,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, - 114,151,0,0,0,34,3,0,0,115,2,0,0,0,0,3, - 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, - 0,0,3,0,0,0,9,0,0,0,67,0,0,0,115,42, - 0,0,0,116,0,0,106,1,0,124,1,0,100,1,0,131, - 2,0,143,17,0,125,2,0,124,2,0,106,2,0,131,0, - 0,83,87,100,2,0,81,82,88,100,2,0,83,41,3,122, - 39,82,101,116,117,114,110,32,116,104,101,32,100,97,116,97, - 32,102,114,111,109,32,112,97,116,104,32,97,115,32,114,97, - 119,32,98,121,116,101,115,46,218,1,114,78,41,3,114,49, - 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121,3,0,0,115,4,0,0,0,0,1,18,1,122,26,69, - 120,116,101,110,115,105,111,110,70,105,108,101,76,111,97,100, - 101,114,46,95,95,101,113,95,95,99,1,0,0,0,0,0, - 0,0,1,0,0,0,3,0,0,0,67,0,0,0,115,26, - 0,0,0,116,0,0,124,0,0,106,1,0,131,1,0,116, - 0,0,124,0,0,106,2,0,131,1,0,65,83,41,1,78, - 41,3,114,208,0,0,0,114,98,0,0,0,114,35,0,0, - 0,41,1,114,100,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,5,0,0,0,114,209,0,0,0,125,3,0,0, - 115,2,0,0,0,0,1,122,28,69,120,116,101,110,115,105, - 111,110,70,105,108,101,76,111,97,100,101,114,46,95,95,104, - 97,115,104,95,95,99,2,0,0,0,0,0,0,0,3,0, - 0,0,4,0,0,0,67,0,0,0,115,50,0,0,0,116, - 0,0,106,1,0,116,2,0,106,3,0,124,1,0,131,2, - 0,125,2,0,116,0,0,106,4,0,100,1,0,124,1,0, - 106,5,0,124,0,0,106,6,0,131,3,0,1,124,2,0, - 83,41,2,122,38,67,114,101,97,116,101,32,97,110,32,117, - 110,105,116,105,97,108,105,122,101,100,32,101,120,116,101,110, - 115,105,111,110,32,109,111,100,117,108,101,122,38,101,120,116, - 101,110,115,105,111,110,32,109,111,100,117,108,101,32,123,33, 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95,112,97,116,104,95,95,46,32,32,87,104,101,110,32,116, - 104,105,115,32,99,104,97,110,103,101,115,44,32,116,104,101, - 32,109,111,100,117,108,101,39,115,32,111,119,110,32,112,97, - 116,104,32,105,115,32,114,101,99,111,109,112,117,116,101,100, - 44,10,32,32,32,32,117,115,105,110,103,32,112,97,116,104, - 95,102,105,110,100,101,114,46,32,32,70,111,114,32,116,111, - 112,45,108,101,118,101,108,32,109,111,100,117,108,101,115,44, - 32,116,104,101,32,112,97,114,101,110,116,32,109,111,100,117, - 108,101,39,115,32,112,97,116,104,10,32,32,32,32,105,115, - 32,115,121,115,46,112,97,116,104,46,99,4,0,0,0,0, - 0,0,0,4,0,0,0,2,0,0,0,67,0,0,0,115, - 52,0,0,0,124,1,0,124,0,0,95,0,0,124,2,0, - 124,0,0,95,1,0,116,2,0,124,0,0,106,3,0,131, - 0,0,131,1,0,124,0,0,95,4,0,124,3,0,124,0, - 0,95,5,0,100,0,0,83,41,1,78,41,6,218,5,95, - 110,97,109,101,218,5,95,112,97,116,104,114,93,0,0,0, - 218,16,95,103,101,116,95,112,97,114,101,110,116,95,112,97, - 116,104,218,17,95,108,97,115,116,95,112,97,114,101,110,116, - 95,112,97,116,104,218,12,95,112,97,116,104,95,102,105,110, - 100,101,114,41,4,114,100,0,0,0,114,98,0,0,0,114, - 35,0,0,0,218,11,112,97,116,104,95,102,105,110,100,101, - 114,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, - 114,179,0,0,0,169,3,0,0,115,8,0,0,0,0,1, - 9,1,9,1,21,1,122,23,95,78,97,109,101,115,112,97, - 99,101,80,97,116,104,46,95,95,105,110,105,116,95,95,99, - 1,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0, - 67,0,0,0,115,53,0,0,0,124,0,0,106,0,0,106, - 1,0,100,1,0,131,1,0,92,3,0,125,1,0,125,2, - 0,125,3,0,124,2,0,100,2,0,107,2,0,114,43,0, - 100,6,0,83,124,1,0,100,5,0,102,2,0,83,41,7, - 122,62,82,101,116,117,114,110,115,32,97,32,116,117,112,108, - 101,32,111,102,32,40,112,97,114,101,110,116,45,109,111,100, - 117,108,101,45,110,97,109,101,44,32,112,97,114,101,110,116, - 45,112,97,116,104,45,97,116,116,114,45,110,97,109,101,41, - 114,58,0,0,0,114,30,0,0,0,114,7,0,0,0,114, - 35,0,0,0,90,8,95,95,112,97,116,104,95,95,41,2, - 122,3,115,121,115,122,4,112,97,116,104,41,2,114,225,0, - 0,0,114,32,0,0,0,41,4,114,100,0,0,0,114,216, - 0,0,0,218,3,100,111,116,90,2,109,101,114,4,0,0, - 0,114,4,0,0,0,114,5,0,0,0,218,23,95,102,105, - 110,100,95,112,97,114,101,110,116,95,112,97,116,104,95,110, - 97,109,101,115,175,3,0,0,115,8,0,0,0,0,2,27, - 1,12,2,4,3,122,38,95,78,97,109,101,115,112,97,99, - 101,80,97,116,104,46,95,102,105,110,100,95,112,97,114,101, - 110,116,95,112,97,116,104,95,110,97,109,101,115,99,1,0, - 0,0,0,0,0,0,3,0,0,0,3,0,0,0,67,0, - 0,0,115,38,0,0,0,124,0,0,106,0,0,131,0,0, - 92,2,0,125,1,0,125,2,0,116,1,0,116,2,0,106, - 3,0,124,1,0,25,124,2,0,131,2,0,83,41,1,78, - 41,4,114,232,0,0,0,114,110,0,0,0,114,7,0,0, - 0,218,7,109,111,100,117,108,101,115,41,3,114,100,0,0, - 0,90,18,112,97,114,101,110,116,95,109,111,100,117,108,101, - 95,110,97,109,101,90,14,112,97,116,104,95,97,116,116,114, - 95,110,97,109,101,114,4,0,0,0,114,4,0,0,0,114, - 5,0,0,0,114,227,0,0,0,185,3,0,0,115,4,0, - 0,0,0,1,18,1,122,31,95,78,97,109,101,115,112,97, - 99,101,80,97,116,104,46,95,103,101,116,95,112,97,114,101, - 110,116,95,112,97,116,104,99,1,0,0,0,0,0,0,0, - 3,0,0,0,3,0,0,0,67,0,0,0,115,118,0,0, - 0,116,0,0,124,0,0,106,1,0,131,0,0,131,1,0, - 125,1,0,124,1,0,124,0,0,106,2,0,107,3,0,114, - 111,0,124,0,0,106,3,0,124,0,0,106,4,0,124,1, - 0,131,2,0,125,2,0,124,2,0,100,0,0,107,9,0, - 114,102,0,124,2,0,106,5,0,100,0,0,107,8,0,114, - 102,0,124,2,0,106,6,0,114,102,0,124,2,0,106,6, - 0,124,0,0,95,7,0,124,1,0,124,0,0,95,2,0, - 124,0,0,106,7,0,83,41,1,78,41,8,114,93,0,0, - 0,114,227,0,0,0,114,228,0,0,0,114,229,0,0,0, - 114,225,0,0,0,114,120,0,0,0,114,150,0,0,0,114, - 226,0,0,0,41,3,114,100,0,0,0,90,11,112,97,114, - 101,110,116,95,112,97,116,104,114,158,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,5,0,0,0,218,12,95,114, - 101,99,97,108,99,117,108,97,116,101,189,3,0,0,115,16, - 0,0,0,0,2,18,1,15,1,21,3,27,1,9,1,12, - 1,9,1,122,27,95,78,97,109,101,115,112,97,99,101,80, - 97,116,104,46,95,114,101,99,97,108,99,117,108,97,116,101, - 99,1,0,0,0,0,0,0,0,1,0,0,0,2,0,0, - 0,67,0,0,0,115,16,0,0,0,116,0,0,124,0,0, - 106,1,0,131,0,0,131,1,0,83,41,1,78,41,2,218, - 4,105,116,101,114,114,234,0,0,0,41,1,114,100,0,0, - 0,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, - 218,8,95,95,105,116,101,114,95,95,202,3,0,0,115,2, - 0,0,0,0,1,122,23,95,78,97,109,101,115,112,97,99, - 101,80,97,116,104,46,95,95,105,116,101,114,95,95,99,1, - 0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,67, - 0,0,0,115,16,0,0,0,116,0,0,124,0,0,106,1, - 0,131,0,0,131,1,0,83,41,1,78,41,2,114,31,0, - 0,0,114,234,0,0,0,41,1,114,100,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,5,0,0,0,218,7,95, - 95,108,101,110,95,95,205,3,0,0,115,2,0,0,0,0, - 1,122,22,95,78,97,109,101,115,112,97,99,101,80,97,116, - 104,46,95,95,108,101,110,95,95,99,1,0,0,0,0,0, - 0,0,1,0,0,0,2,0,0,0,67,0,0,0,115,16, - 0,0,0,100,1,0,106,0,0,124,0,0,106,1,0,131, - 1,0,83,41,2,78,122,20,95,78,97,109,101,115,112,97, - 99,101,80,97,116,104,40,123,33,114,125,41,41,2,114,47, - 0,0,0,114,226,0,0,0,41,1,114,100,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,5,0,0,0,218,8, - 95,95,114,101,112,114,95,95,208,3,0,0,115,2,0,0, - 0,0,1,122,23,95,78,97,109,101,115,112,97,99,101,80, - 97,116,104,46,95,95,114,101,112,114,95,95,99,2,0,0, - 0,0,0,0,0,2,0,0,0,2,0,0,0,67,0,0, - 0,115,16,0,0,0,124,1,0,124,0,0,106,0,0,131, - 0,0,107,6,0,83,41,1,78,41,1,114,234,0,0,0, - 41,2,114,100,0,0,0,218,4,105,116,101,109,114,4,0, - 0,0,114,4,0,0,0,114,5,0,0,0,218,12,95,95, - 99,111,110,116,97,105,110,115,95,95,211,3,0,0,115,2, - 0,0,0,0,1,122,27,95,78,97,109,101,115,112,97,99, - 101,80,97,116,104,46,95,95,99,111,110,116,97,105,110,115, - 95,95,99,2,0,0,0,0,0,0,0,2,0,0,0,2, - 0,0,0,67,0,0,0,115,20,0,0,0,124,0,0,106, - 0,0,106,1,0,124,1,0,131,1,0,1,100,0,0,83, - 41,1,78,41,2,114,226,0,0,0,114,157,0,0,0,41, - 2,114,100,0,0,0,114,239,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,157,0,0,0,214, - 3,0,0,115,2,0,0,0,0,1,122,21,95,78,97,109, - 101,115,112,97,99,101,80,97,116,104,46,97,112,112,101,110, - 100,78,41,13,114,105,0,0,0,114,104,0,0,0,114,106, - 0,0,0,114,107,0,0,0,114,179,0,0,0,114,232,0, - 0,0,114,227,0,0,0,114,234,0,0,0,114,236,0,0, - 0,114,237,0,0,0,114,238,0,0,0,114,240,0,0,0, - 114,157,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,5,0,0,0,114,224,0,0,0,162,3, - 0,0,115,20,0,0,0,12,5,6,2,12,6,12,10,12, - 4,12,13,12,3,12,3,12,3,12,3,114,224,0,0,0, - 99,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0, - 0,64,0,0,0,115,118,0,0,0,101,0,0,90,1,0, - 100,0,0,90,2,0,100,1,0,100,2,0,132,0,0,90, - 3,0,101,4,0,100,3,0,100,4,0,132,0,0,131,1, - 0,90,5,0,100,5,0,100,6,0,132,0,0,90,6,0, - 100,7,0,100,8,0,132,0,0,90,7,0,100,9,0,100, - 10,0,132,0,0,90,8,0,100,11,0,100,12,0,132,0, - 0,90,9,0,100,13,0,100,14,0,132,0,0,90,10,0, - 100,15,0,100,16,0,132,0,0,90,11,0,100,17,0,83, - 41,18,218,16,95,78,97,109,101,115,112,97,99,101,76,111, - 97,100,101,114,99,4,0,0,0,0,0,0,0,4,0,0, - 0,4,0,0,0,67,0,0,0,115,25,0,0,0,116,0, - 0,124,1,0,124,2,0,124,3,0,131,3,0,124,0,0, - 95,1,0,100,0,0,83,41,1,78,41,2,114,224,0,0, 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114,164,0,0,0,114,184,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,5,0,0,0,218,11,109,111,100,117,108, - 101,95,114,101,112,114,223,3,0,0,115,2,0,0,0,0, - 7,122,28,95,78,97,109,101,115,112,97,99,101,76,111,97, - 100,101,114,46,109,111,100,117,108,101,95,114,101,112,114,99, - 2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0, - 67,0,0,0,115,4,0,0,0,100,1,0,83,41,2,78, - 84,114,4,0,0,0,41,2,114,100,0,0,0,114,119,0, - 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, - 0,114,153,0,0,0,232,3,0,0,115,2,0,0,0,0, - 1,122,27,95,78,97,109,101,115,112,97,99,101,76,111,97, - 100,101,114,46,105,115,95,112,97,99,107,97,103,101,99,2, - 0,0,0,0,0,0,0,2,0,0,0,1,0,0,0,67, - 0,0,0,115,4,0,0,0,100,1,0,83,41,2,78,114, - 30,0,0,0,114,4,0,0,0,41,2,114,100,0,0,0, - 114,119,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 5,0,0,0,114,196,0,0,0,235,3,0,0,115,2,0, - 0,0,0,1,122,27,95,78,97,109,101,115,112,97,99,101, - 76,111,97,100,101,114,46,103,101,116,95,115,111,117,114,99, - 101,99,2,0,0,0,0,0,0,0,2,0,0,0,6,0, - 0,0,67,0,0,0,115,22,0,0,0,116,0,0,100,1, - 0,100,2,0,100,3,0,100,4,0,100,5,0,131,3,1, - 83,41,6,78,114,30,0,0,0,122,8,60,115,116,114,105, - 110,103,62,114,183,0,0,0,114,198,0,0,0,84,41,1, - 114,199,0,0,0,41,2,114,100,0,0,0,114,119,0,0, - 0,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, - 114,181,0,0,0,238,3,0,0,115,2,0,0,0,0,1, - 122,25,95,78,97,109,101,115,112,97,99,101,76,111,97,100, - 101,114,46,103,101,116,95,99,111,100,101,99,2,0,0,0, - 0,0,0,0,2,0,0,0,1,0,0,0,67,0,0,0, - 115,4,0,0,0,100,1,0,83,41,2,122,42,85,115,101, - 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, - 101,97,116,105,111,110,46,78,114,4,0,0,0,41,2,114, - 100,0,0,0,114,158,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,5,0,0,0,114,180,0,0,0,241,3,0, - 0,115,0,0,0,0,122,30,95,78,97,109,101,115,112,97, - 99,101,76,111,97,100,101,114,46,99,114,101,97,116,101,95, - 109,111,100,117,108,101,99,2,0,0,0,0,0,0,0,2, - 0,0,0,1,0,0,0,67,0,0,0,115,4,0,0,0, - 100,0,0,83,41,1,78,114,4,0,0,0,41,2,114,100, - 0,0,0,114,184,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,5,0,0,0,114,185,0,0,0,244,3,0,0, - 115,2,0,0,0,0,1,122,28,95,78,97,109,101,115,112, - 97,99,101,76,111,97,100,101,114,46,101,120,101,99,95,109, - 111,100,117,108,101,99,2,0,0,0,0,0,0,0,2,0, - 0,0,3,0,0,0,67,0,0,0,115,35,0,0,0,116, - 0,0,106,1,0,100,1,0,124,0,0,106,2,0,131,2, - 0,1,116,0,0,106,3,0,124,0,0,124,1,0,131,2, - 0,83,41,2,122,98,76,111,97,100,32,97,32,110,97,109, - 101,115,112,97,99,101,32,109,111,100,117,108,101,46,10,10, - 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, - 100,46,32,32,85,115,101,32,101,120,101,99,95,109,111,100, - 117,108,101,40,41,32,105,110,115,116,101,97,100,46,10,10, - 32,32,32,32,32,32,32,32,122,38,110,97,109,101,115,112, - 97,99,101,32,109,111,100,117,108,101,32,108,111,97,100,101, - 100,32,119,105,116,104,32,112,97,116,104,32,123,33,114,125, - 41,4,114,114,0,0,0,114,129,0,0,0,114,226,0,0, - 0,114,186,0,0,0,41,2,114,100,0,0,0,114,119,0, - 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, - 0,114,187,0,0,0,247,3,0,0,115,6,0,0,0,0, - 7,9,1,10,1,122,28,95,78,97,109,101,115,112,97,99, - 101,76,111,97,100,101,114,46,108,111,97,100,95,109,111,100, - 117,108,101,78,41,12,114,105,0,0,0,114,104,0,0,0, - 114,106,0,0,0,114,179,0,0,0,114,177,0,0,0,114, - 242,0,0,0,114,153,0,0,0,114,196,0,0,0,114,181, - 0,0,0,114,180,0,0,0,114,185,0,0,0,114,187,0, - 0,0,114,4,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,5,0,0,0,114,241,0,0,0,219,3,0,0,115, - 16,0,0,0,12,1,12,3,18,9,12,3,12,3,12,3, - 12,3,12,3,114,241,0,0,0,99,0,0,0,0,0,0, - 0,0,0,0,0,0,5,0,0,0,64,0,0,0,115,160, - 0,0,0,101,0,0,90,1,0,100,0,0,90,2,0,100, - 1,0,90,3,0,101,4,0,100,2,0,100,3,0,132,0, - 0,131,1,0,90,5,0,101,4,0,100,4,0,100,5,0, - 132,0,0,131,1,0,90,6,0,101,4,0,100,6,0,100, - 7,0,132,0,0,131,1,0,90,7,0,101,4,0,100,8, - 0,100,9,0,132,0,0,131,1,0,90,8,0,101,4,0, - 100,10,0,100,11,0,100,12,0,132,1,0,131,1,0,90, - 9,0,101,4,0,100,10,0,100,10,0,100,13,0,100,14, - 0,132,2,0,131,1,0,90,10,0,101,4,0,100,10,0, - 100,15,0,100,16,0,132,1,0,131,1,0,90,11,0,100, - 10,0,83,41,17,218,10,80,97,116,104,70,105,110,100,101, - 114,122,62,77,101,116,97,32,112,97,116,104,32,102,105,110, - 100,101,114,32,102,111,114,32,115,121,115,46,112,97,116,104, - 32,97,110,100,32,112,97,99,107,97,103,101,32,95,95,112, - 97,116,104,95,95,32,97,116,116,114,105,98,117,116,101,115, - 46,99,1,0,0,0,0,0,0,0,2,0,0,0,4,0, - 0,0,67,0,0,0,115,55,0,0,0,120,48,0,116,0, - 0,106,1,0,106,2,0,131,0,0,68,93,31,0,125,1, - 0,116,3,0,124,1,0,100,1,0,131,2,0,114,16,0, - 124,1,0,106,4,0,131,0,0,1,113,16,0,87,100,2, - 0,83,41,3,122,125,67,97,108,108,32,116,104,101,32,105, - 110,118,97,108,105,100,97,116,101,95,99,97,99,104,101,115, - 40,41,32,109,101,116,104,111,100,32,111,110,32,97,108,108, - 32,112,97,116,104,32,101,110,116,114,121,32,102,105,110,100, - 101,114,115,10,32,32,32,32,32,32,32,32,115,116,111,114, - 101,100,32,105,110,32,115,121,115,46,112,97,116,104,95,105, - 109,112,111,114,116,101,114,95,99,97,99,104,101,115,32,40, - 119,104,101,114,101,32,105,109,112,108,101,109,101,110,116,101, - 100,41,46,218,17,105,110,118,97,108,105,100,97,116,101,95, - 99,97,99,104,101,115,78,41,5,114,7,0,0,0,218,19, - 112,97,116,104,95,105,109,112,111,114,116,101,114,95,99,97, - 99,104,101,218,6,118,97,108,117,101,115,114,108,0,0,0, - 114,244,0,0,0,41,2,114,164,0,0,0,218,6,102,105, - 110,100,101,114,114,4,0,0,0,114,4,0,0,0,114,5, - 0,0,0,114,244,0,0,0,9,4,0,0,115,6,0,0, - 0,0,4,22,1,15,1,122,28,80,97,116,104,70,105,110, - 100,101,114,46,105,110,118,97,108,105,100,97,116,101,95,99, - 97,99,104,101,115,99,2,0,0,0,0,0,0,0,3,0, - 0,0,12,0,0,0,67,0,0,0,115,107,0,0,0,116, - 0,0,106,1,0,100,1,0,107,9,0,114,41,0,116,0, - 0,106,1,0,12,114,41,0,116,2,0,106,3,0,100,2, - 0,116,4,0,131,2,0,1,120,59,0,116,0,0,106,1, - 0,68,93,44,0,125,2,0,121,14,0,124,2,0,124,1, - 0,131,1,0,83,87,113,51,0,4,116,5,0,107,10,0, - 114,94,0,1,1,1,119,51,0,89,113,51,0,88,113,51, - 0,87,100,1,0,83,100,1,0,83,41,3,122,113,83,101, - 97,114,99,104,32,115,101,113,117,101,110,99,101,32,111,102, - 32,104,111,111,107,115,32,102,111,114,32,97,32,102,105,110, - 100,101,114,32,102,111,114,32,39,112,97,116,104,39,46,10, - 10,32,32,32,32,32,32,32,32,73,102,32,39,104,111,111, - 107,115,39,32,105,115,32,102,97,108,115,101,32,116,104,101, - 110,32,117,115,101,32,115,121,115,46,112,97,116,104,95,104, - 111,111,107,115,46,10,10,32,32,32,32,32,32,32,32,78, - 122,23,115,121,115,46,112,97,116,104,95,104,111,111,107,115, - 32,105,115,32,101,109,112,116,121,41,6,114,7,0,0,0, - 218,10,112,97,116,104,95,104,111,111,107,115,114,60,0,0, - 0,114,61,0,0,0,114,118,0,0,0,114,99,0,0,0, - 41,3,114,164,0,0,0,114,35,0,0,0,90,4,104,111, - 111,107,114,4,0,0,0,114,4,0,0,0,114,5,0,0, - 0,218,11,95,112,97,116,104,95,104,111,111,107,115,17,4, - 0,0,115,16,0,0,0,0,7,25,1,16,1,16,1,3, - 1,14,1,13,1,12,2,122,22,80,97,116,104,70,105,110, - 100,101,114,46,95,112,97,116,104,95,104,111,111,107,115,99, - 2,0,0,0,0,0,0,0,3,0,0,0,19,0,0,0, - 67,0,0,0,115,123,0,0,0,124,1,0,100,1,0,107, - 2,0,114,53,0,121,16,0,116,0,0,106,1,0,131,0, - 0,125,1,0,87,110,22,0,4,116,2,0,107,10,0,114, - 52,0,1,1,1,100,2,0,83,89,110,1,0,88,121,17, - 0,116,3,0,106,4,0,124,1,0,25,125,2,0,87,110, - 46,0,4,116,5,0,107,10,0,114,118,0,1,1,1,124, - 0,0,106,6,0,124,1,0,131,1,0,125,2,0,124,2, - 0,116,3,0,106,4,0,124,1,0,60,89,110,1,0,88, - 124,2,0,83,41,3,122,210,71,101,116,32,116,104,101,32, - 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, - 10,10,32,32,32,32,32,32,32,32,114,30,0,0,0,78, - 41,7,114,3,0,0,0,114,45,0,0,0,218,17,70,105, - 108,101,78,111,116,70,111,117,110,100,69,114,114,111,114,114, - 7,0,0,0,114,245,0,0,0,114,131,0,0,0,114,249, - 0,0,0,41,3,114,164,0,0,0,114,35,0,0,0,114, - 247,0,0,0,114,4,0,0,0,114,4,0,0,0,114,5, - 0,0,0,218,20,95,112,97,116,104,95,105,109,112,111,114, - 116,101,114,95,99,97,99,104,101,34,4,0,0,115,22,0, - 0,0,0,8,12,1,3,1,16,1,13,3,9,1,3,1, - 17,1,13,1,15,1,18,1,122,31,80,97,116,104,70,105, - 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, - 0,0,6,0,0,0,3,0,0,0,67,0,0,0,115,119, - 0,0,0,116,0,0,124,2,0,100,1,0,131,2,0,114, - 39,0,124,2,0,106,1,0,124,1,0,131,1,0,92,2, - 0,125,3,0,125,4,0,110,21,0,124,2,0,106,2,0, - 124,1,0,131,1,0,125,3,0,103,0,0,125,4,0,124, - 3,0,100,0,0,107,9,0,114,88,0,116,3,0,106,4, - 0,124,1,0,124,3,0,131,2,0,83,116,3,0,106,5, - 0,124,1,0,100,0,0,131,2,0,125,5,0,124,4,0, - 124,5,0,95,6,0,124,5,0,83,41,2,78,114,117,0, - 0,0,41,7,114,108,0,0,0,114,117,0,0,0,114,176, - 0,0,0,114,114,0,0,0,114,173,0,0,0,114,154,0, - 0,0,114,150,0,0,0,41,6,114,164,0,0,0,114,119, - 0,0,0,114,247,0,0,0,114,120,0,0,0,114,121,0, - 0,0,114,158,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,5,0,0,0,218,16,95,108,101,103,97,99,121,95, - 103,101,116,95,115,112,101,99,56,4,0,0,115,18,0,0, - 0,0,4,15,1,24,2,15,1,6,1,12,1,16,1,18, - 1,9,1,122,27,80,97,116,104,70,105,110,100,101,114,46, - 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, - 0,0,67,0,0,0,115,243,0,0,0,103,0,0,125,4, - 0,120,230,0,124,2,0,68,93,191,0,125,5,0,116,0, - 0,124,5,0,116,1,0,116,2,0,102,2,0,131,2,0, - 115,43,0,113,13,0,124,0,0,106,3,0,124,5,0,131, - 1,0,125,6,0,124,6,0,100,1,0,107,9,0,114,13, - 0,116,4,0,124,6,0,100,2,0,131,2,0,114,106,0, - 124,6,0,106,5,0,124,1,0,124,3,0,131,2,0,125, - 7,0,110,18,0,124,0,0,106,6,0,124,1,0,124,6, - 0,131,2,0,125,7,0,124,7,0,100,1,0,107,8,0, - 114,139,0,113,13,0,124,7,0,106,7,0,100,1,0,107, - 9,0,114,158,0,124,7,0,83,124,7,0,106,8,0,125, - 8,0,124,8,0,100,1,0,107,8,0,114,191,0,116,9, - 0,100,3,0,131,1,0,130,1,0,124,4,0,106,10,0, - 124,8,0,131,1,0,1,113,13,0,87,116,11,0,106,12, - 0,124,1,0,100,1,0,131,2,0,125,7,0,124,4,0, - 124,7,0,95,8,0,124,7,0,83,100,1,0,83,41,4, - 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, - 46,78,114,175,0,0,0,122,19,115,112,101,99,32,109,105, - 115,115,105,110,103,32,108,111,97,100,101,114,41,13,114,137, - 0,0,0,114,69,0,0,0,218,5,98,121,116,101,115,114, - 251,0,0,0,114,108,0,0,0,114,175,0,0,0,114,252, - 0,0,0,114,120,0,0,0,114,150,0,0,0,114,99,0, - 0,0,114,143,0,0,0,114,114,0,0,0,114,154,0,0, - 0,41,9,114,164,0,0,0,114,119,0,0,0,114,35,0, - 0,0,114,174,0,0,0,218,14,110,97,109,101,115,112,97, - 99,101,95,112,97,116,104,90,5,101,110,116,114,121,114,247, - 0,0,0,114,158,0,0,0,114,121,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,5,0,0,0,218,9,95,103, - 101,116,95,115,112,101,99,71,4,0,0,115,40,0,0,0, - 0,5,6,1,13,1,21,1,3,1,15,1,12,1,15,1, - 21,2,18,1,12,1,3,1,15,1,4,1,9,1,12,1, - 12,5,17,2,18,1,9,1,122,20,80,97,116,104,70,105, - 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, - 0,0,0,115,140,0,0,0,124,2,0,100,1,0,107,8, - 0,114,21,0,116,0,0,106,1,0,125,2,0,124,0,0, - 106,2,0,124,1,0,124,2,0,124,3,0,131,3,0,125, - 4,0,124,4,0,100,1,0,107,8,0,114,58,0,100,1, - 0,83,124,4,0,106,3,0,100,1,0,107,8,0,114,132, - 0,124,4,0,106,4,0,125,5,0,124,5,0,114,125,0, - 100,2,0,124,4,0,95,5,0,116,6,0,124,1,0,124, - 5,0,124,0,0,106,2,0,131,3,0,124,4,0,95,4, - 0,124,4,0,83,100,1,0,83,110,4,0,124,4,0,83, - 100,1,0,83,41,3,122,98,102,105,110,100,32,116,104,101, - 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, - 116,101,114,95,99,97,99,104,101,46,78,90,9,110,97,109, - 101,115,112,97,99,101,41,7,114,7,0,0,0,114,35,0, - 0,0,114,255,0,0,0,114,120,0,0,0,114,150,0,0, - 0,114,152,0,0,0,114,224,0,0,0,41,6,114,164,0, - 0,0,114,119,0,0,0,114,35,0,0,0,114,174,0,0, - 0,114,158,0,0,0,114,254,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,175,0,0,0,103, - 4,0,0,115,26,0,0,0,0,4,12,1,9,1,21,1, - 12,1,4,1,15,1,9,1,6,3,9,1,24,1,4,2, - 7,2,122,20,80,97,116,104,70,105,110,100,101,114,46,102, - 105,110,100,95,115,112,101,99,99,3,0,0,0,0,0,0, - 0,4,0,0,0,3,0,0,0,67,0,0,0,115,41,0, - 0,0,124,0,0,106,0,0,124,1,0,124,2,0,131,2, - 0,125,3,0,124,3,0,100,1,0,107,8,0,114,34,0, - 100,1,0,83,124,3,0,106,1,0,83,41,2,122,170,102, - 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, - 10,32,32,32,32,32,32,32,32,78,41,2,114,175,0,0, - 0,114,120,0,0,0,41,4,114,164,0,0,0,114,119,0, - 0,0,114,35,0,0,0,114,158,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,5,0,0,0,114,176,0,0,0, - 125,4,0,0,115,8,0,0,0,0,8,18,1,12,1,4, - 1,122,22,80,97,116,104,70,105,110,100,101,114,46,102,105, - 110,100,95,109,111,100,117,108,101,41,12,114,105,0,0,0, - 114,104,0,0,0,114,106,0,0,0,114,107,0,0,0,114, - 177,0,0,0,114,244,0,0,0,114,249,0,0,0,114,251, - 0,0,0,114,252,0,0,0,114,255,0,0,0,114,175,0, - 0,0,114,176,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,5,0,0,0,114,243,0,0,0, - 5,4,0,0,115,22,0,0,0,12,2,6,2,18,8,18, - 17,18,22,18,15,3,1,18,31,3,1,21,21,3,1,114, - 243,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, - 0,3,0,0,0,64,0,0,0,115,133,0,0,0,101,0, - 0,90,1,0,100,0,0,90,2,0,100,1,0,90,3,0, - 100,2,0,100,3,0,132,0,0,90,4,0,100,4,0,100, - 5,0,132,0,0,90,5,0,101,6,0,90,7,0,100,6, - 0,100,7,0,132,0,0,90,8,0,100,8,0,100,9,0, - 132,0,0,90,9,0,100,10,0,100,11,0,100,12,0,132, - 1,0,90,10,0,100,13,0,100,14,0,132,0,0,90,11, - 0,101,12,0,100,15,0,100,16,0,132,0,0,131,1,0, - 90,13,0,100,17,0,100,18,0,132,0,0,90,14,0,100, - 10,0,83,41,19,218,10,70,105,108,101,70,105,110,100,101, - 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, - 7,0,0,0,115,122,0,0,0,103,0,0,125,3,0,120, - 52,0,124,2,0,68,93,44,0,92,2,0,137,0,0,125, - 4,0,124,3,0,106,0,0,135,0,0,102,1,0,100,1, - 0,100,2,0,134,0,0,124,4,0,68,131,1,0,131,1, - 0,1,113,13,0,87,124,3,0,124,0,0,95,1,0,124, - 1,0,112,79,0,100,3,0,124,0,0,95,2,0,100,6, - 0,124,0,0,95,3,0,116,4,0,131,0,0,124,0,0, - 95,5,0,116,4,0,131,0,0,124,0,0,95,6,0,100, - 5,0,83,41,7,122,154,73,110,105,116,105,97,108,105,122, - 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, - 0,0,51,0,0,0,115,27,0,0,0,124,0,0,93,17, - 0,125,1,0,124,1,0,136,0,0,102,2,0,86,1,113, - 3,0,100,0,0,83,41,1,78,114,4,0,0,0,41,2, - 114,22,0,0,0,114,219,0,0,0,41,1,114,120,0,0, - 0,114,4,0,0,0,114,5,0,0,0,114,221,0,0,0, - 154,4,0,0,115,2,0,0,0,6,0,122,38,70,105,108, - 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, - 112,114,62,114,58,0,0,0,114,29,0,0,0,78,114,87, - 0,0,0,41,7,114,143,0,0,0,218,8,95,108,111,97, - 100,101,114,115,114,35,0,0,0,218,11,95,112,97,116,104, - 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, - 100,0,0,0,114,35,0,0,0,218,14,108,111,97,100,101, - 114,95,100,101,116,97,105,108,115,90,7,108,111,97,100,101, - 114,115,114,160,0,0,0,114,4,0,0,0,41,1,114,120, - 0,0,0,114,5,0,0,0,114,179,0,0,0,148,4,0, - 0,115,16,0,0,0,0,4,6,1,19,1,36,1,9,2, - 15,1,9,1,12,1,122,19,70,105,108,101,70,105,110,100, - 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, - 115,13,0,0,0,100,3,0,124,0,0,95,0,0,100,2, - 0,83,41,4,122,31,73,110,118,97,108,105,100,97,116,101, - 32,116,104,101,32,100,105,114,101,99,116,111,114,121,32,109, - 116,105,109,101,46,114,29,0,0,0,78,114,87,0,0,0, - 41,1,114,2,1,0,0,41,1,114,100,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,5,0,0,0,114,244,0, - 0,0,162,4,0,0,115,2,0,0,0,0,2,122,28,70, - 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, - 115,59,0,0,0,124,0,0,106,0,0,124,1,0,131,1, - 0,125,2,0,124,2,0,100,1,0,107,8,0,114,37,0, - 100,1,0,103,0,0,102,2,0,83,124,2,0,106,1,0, - 124,2,0,106,2,0,112,55,0,103,0,0,102,2,0,83, - 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, - 10,32,32,32,32,32,32,32,32,78,41,3,114,175,0,0, - 0,114,120,0,0,0,114,150,0,0,0,41,3,114,100,0, - 0,0,114,119,0,0,0,114,158,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,5,0,0,0,114,117,0,0,0, - 168,4,0,0,115,8,0,0,0,0,7,15,1,12,1,10, - 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, - 0,0,7,0,0,0,7,0,0,0,67,0,0,0,115,40, - 0,0,0,124,1,0,124,2,0,124,3,0,131,2,0,125, - 6,0,116,0,0,124,2,0,124,3,0,100,1,0,124,6, - 0,100,2,0,124,4,0,131,2,2,83,41,3,78,114,120, - 0,0,0,114,150,0,0,0,41,1,114,161,0,0,0,41, - 7,114,100,0,0,0,114,159,0,0,0,114,119,0,0,0, - 114,35,0,0,0,90,4,115,109,115,108,114,174,0,0,0, - 114,120,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 5,0,0,0,114,255,0,0,0,180,4,0,0,115,6,0, - 0,0,0,1,15,1,18,1,122,20,70,105,108,101,70,105, - 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, - 67,0,0,0,115,228,1,0,0,100,1,0,125,3,0,124, - 1,0,106,0,0,100,2,0,131,1,0,100,3,0,25,125, - 4,0,121,34,0,116,1,0,124,0,0,106,2,0,112,49, - 0,116,3,0,106,4,0,131,0,0,131,1,0,106,5,0, - 125,5,0,87,110,24,0,4,116,6,0,107,10,0,114,85, - 0,1,1,1,100,10,0,125,5,0,89,110,1,0,88,124, - 5,0,124,0,0,106,7,0,107,3,0,114,120,0,124,0, - 0,106,8,0,131,0,0,1,124,5,0,124,0,0,95,7, - 0,116,9,0,131,0,0,114,153,0,124,0,0,106,10,0, - 125,6,0,124,4,0,106,11,0,131,0,0,125,7,0,110, - 15,0,124,0,0,106,12,0,125,6,0,124,4,0,125,7, - 0,124,7,0,124,6,0,107,6,0,114,45,1,116,13,0, - 124,0,0,106,2,0,124,4,0,131,2,0,125,8,0,120, - 100,0,124,0,0,106,14,0,68,93,77,0,92,2,0,125, - 9,0,125,10,0,100,5,0,124,9,0,23,125,11,0,116, - 13,0,124,8,0,124,11,0,131,2,0,125,12,0,116,15, - 0,124,12,0,131,1,0,114,208,0,124,0,0,106,16,0, - 124,10,0,124,1,0,124,12,0,124,8,0,103,1,0,124, - 2,0,131,5,0,83,113,208,0,87,116,17,0,124,8,0, - 131,1,0,125,3,0,120,120,0,124,0,0,106,14,0,68, - 93,109,0,92,2,0,125,9,0,125,10,0,116,13,0,124, - 0,0,106,2,0,124,4,0,124,9,0,23,131,2,0,125, - 12,0,116,18,0,106,19,0,100,6,0,124,12,0,100,7, - 0,100,3,0,131,2,1,1,124,7,0,124,9,0,23,124, - 6,0,107,6,0,114,55,1,116,15,0,124,12,0,131,1, - 0,114,55,1,124,0,0,106,16,0,124,10,0,124,1,0, - 124,12,0,100,8,0,124,2,0,131,5,0,83,113,55,1, - 87,124,3,0,114,224,1,116,18,0,106,19,0,100,9,0, - 124,8,0,131,2,0,1,116,18,0,106,20,0,124,1,0, - 100,8,0,131,2,0,125,13,0,124,8,0,103,1,0,124, - 13,0,95,21,0,124,13,0,83,100,8,0,83,41,11,122, - 125,84,114,121,32,116,111,32,102,105,110,100,32,97,32,108, - 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, - 45,111,102,45,112,111,114,116,105,111,110,115,41,46,70,114, - 58,0,0,0,114,56,0,0,0,114,29,0,0,0,114,179, - 0,0,0,122,9,116,114,121,105,110,103,32,123,125,90,9, - 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, - 111,114,32,123,125,114,87,0,0,0,41,22,114,32,0,0, - 0,114,39,0,0,0,114,35,0,0,0,114,3,0,0,0, - 114,45,0,0,0,114,213,0,0,0,114,40,0,0,0,114, - 2,1,0,0,218,11,95,102,105,108,108,95,99,97,99,104, - 101,114,6,0,0,0,114,5,1,0,0,114,88,0,0,0, - 114,4,1,0,0,114,28,0,0,0,114,1,1,0,0,114, - 44,0,0,0,114,255,0,0,0,114,46,0,0,0,114,114, - 0,0,0,114,129,0,0,0,114,154,0,0,0,114,150,0, - 0,0,41,14,114,100,0,0,0,114,119,0,0,0,114,174, - 0,0,0,90,12,105,115,95,110,97,109,101,115,112,97,99, - 101,90,11,116,97,105,108,95,109,111,100,117,108,101,114,126, - 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, - 97,116,104,114,219,0,0,0,114,159,0,0,0,90,13,105, - 110,105,116,95,102,105,108,101,110,97,109,101,90,9,102,117, - 108,108,95,112,97,116,104,114,158,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,5,0,0,0,114,175,0,0,0, - 185,4,0,0,115,70,0,0,0,0,3,6,1,19,1,3, - 1,34,1,13,1,11,1,15,1,10,1,9,2,9,1,9, - 1,15,2,9,1,6,2,12,1,18,1,22,1,10,1,15, - 1,12,1,32,4,12,2,22,1,22,1,22,1,16,1,12, - 1,15,1,14,1,6,1,16,1,18,1,12,1,4,1,122, - 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, - 0,0,13,0,0,0,67,0,0,0,115,11,1,0,0,124, - 0,0,106,0,0,125,1,0,121,31,0,116,1,0,106,2, - 0,124,1,0,112,33,0,116,1,0,106,3,0,131,0,0, - 131,1,0,125,2,0,87,110,33,0,4,116,4,0,116,5, - 0,116,6,0,102,3,0,107,10,0,114,75,0,1,1,1, - 103,0,0,125,2,0,89,110,1,0,88,116,7,0,106,8, - 0,106,9,0,100,1,0,131,1,0,115,112,0,116,10,0, - 124,2,0,131,1,0,124,0,0,95,11,0,110,111,0,116, - 10,0,131,0,0,125,3,0,120,90,0,124,2,0,68,93, - 82,0,125,4,0,124,4,0,106,12,0,100,2,0,131,1, - 0,92,3,0,125,5,0,125,6,0,125,7,0,124,6,0, - 114,191,0,100,3,0,106,13,0,124,5,0,124,7,0,106, - 14,0,131,0,0,131,2,0,125,8,0,110,6,0,124,5, - 0,125,8,0,124,3,0,106,15,0,124,8,0,131,1,0, - 1,113,128,0,87,124,3,0,124,0,0,95,11,0,116,7, - 0,106,8,0,106,9,0,116,16,0,131,1,0,114,7,1, - 100,4,0,100,5,0,132,0,0,124,2,0,68,131,1,0, - 124,0,0,95,17,0,100,6,0,83,41,7,122,68,70,105, - 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, - 121,46,114,0,0,0,0,114,58,0,0,0,122,5,123,125, - 46,123,125,99,1,0,0,0,0,0,0,0,2,0,0,0, - 3,0,0,0,83,0,0,0,115,28,0,0,0,104,0,0, - 124,0,0,93,18,0,125,1,0,124,1,0,106,0,0,131, - 0,0,146,2,0,113,6,0,83,114,4,0,0,0,41,1, - 114,88,0,0,0,41,2,114,22,0,0,0,90,2,102,110, - 114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,250, - 9,60,115,101,116,99,111,109,112,62,4,5,0,0,115,2, - 0,0,0,9,0,122,41,70,105,108,101,70,105,110,100,101, - 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, - 78,41,18,114,35,0,0,0,114,3,0,0,0,90,7,108, - 105,115,116,100,105,114,114,45,0,0,0,114,250,0,0,0, - 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, - 69,114,114,111,114,114,7,0,0,0,114,8,0,0,0,114, - 9,0,0,0,114,3,1,0,0,114,4,1,0,0,114,83, - 0,0,0,114,47,0,0,0,114,88,0,0,0,218,3,97, - 100,100,114,10,0,0,0,114,5,1,0,0,41,9,114,100, - 0,0,0,114,35,0,0,0,90,8,99,111,110,116,101,110, - 116,115,90,21,108,111,119,101,114,95,115,117,102,102,105,120, - 95,99,111,110,116,101,110,116,115,114,239,0,0,0,114,98, - 0,0,0,114,231,0,0,0,114,219,0,0,0,90,8,110, - 101,119,95,110,97,109,101,114,4,0,0,0,114,4,0,0, - 0,114,5,0,0,0,114,7,1,0,0,231,4,0,0,115, - 34,0,0,0,0,2,9,1,3,1,31,1,22,3,11,3, - 18,1,18,7,9,1,13,1,24,1,6,1,27,2,6,1, - 17,1,9,1,18,1,122,22,70,105,108,101,70,105,110,100, - 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, - 0,0,0,115,25,0,0,0,135,0,0,135,1,0,102,2, - 0,100,1,0,100,2,0,134,0,0,125,2,0,124,2,0, - 83,41,3,97,20,1,0,0,65,32,99,108,97,115,115,32, - 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, - 0,115,43,0,0,0,116,0,0,124,0,0,131,1,0,115, - 30,0,116,1,0,100,1,0,100,2,0,124,0,0,131,1, - 1,130,1,0,136,0,0,124,0,0,136,1,0,140,1,0, - 83,41,3,122,45,80,97,116,104,32,104,111,111,107,32,102, - 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, - 101,100,114,35,0,0,0,41,2,114,46,0,0,0,114,99, - 0,0,0,41,1,114,35,0,0,0,41,2,114,164,0,0, - 0,114,6,1,0,0,114,4,0,0,0,114,5,0,0,0, - 218,24,112,97,116,104,95,104,111,111,107,95,102,111,114,95, - 70,105,108,101,70,105,110,100,101,114,16,5,0,0,115,6, - 0,0,0,0,2,12,1,18,1,122,54,70,105,108,101,70, - 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, - 114,114,4,0,0,0,41,3,114,164,0,0,0,114,6,1, - 0,0,114,12,1,0,0,114,4,0,0,0,41,2,114,164, - 0,0,0,114,6,1,0,0,114,5,0,0,0,218,9,112, - 97,116,104,95,104,111,111,107,6,5,0,0,115,4,0,0, - 0,0,10,21,6,122,20,70,105,108,101,70,105,110,100,101, - 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, - 115,16,0,0,0,100,1,0,106,0,0,124,0,0,106,1, - 0,131,1,0,83,41,2,78,122,16,70,105,108,101,70,105, - 110,100,101,114,40,123,33,114,125,41,41,2,114,47,0,0, - 0,114,35,0,0,0,41,1,114,100,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,5,0,0,0,114,238,0,0, - 0,24,5,0,0,115,2,0,0,0,0,1,122,19,70,105, - 108,101,70,105,110,100,101,114,46,95,95,114,101,112,114,95, - 95,41,15,114,105,0,0,0,114,104,0,0,0,114,106,0, - 0,0,114,107,0,0,0,114,179,0,0,0,114,244,0,0, - 0,114,123,0,0,0,114,176,0,0,0,114,117,0,0,0, - 114,255,0,0,0,114,175,0,0,0,114,7,1,0,0,114, - 177,0,0,0,114,13,1,0,0,114,238,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,5,0, - 0,0,114,0,1,0,0,139,4,0,0,115,20,0,0,0, - 12,7,6,2,12,14,12,4,6,2,12,12,12,5,15,46, - 12,31,18,18,114,0,1,0,0,99,4,0,0,0,0,0, - 0,0,6,0,0,0,11,0,0,0,67,0,0,0,115,195, - 0,0,0,124,0,0,106,0,0,100,1,0,131,1,0,125, - 4,0,124,0,0,106,0,0,100,2,0,131,1,0,125,5, - 0,124,4,0,115,99,0,124,5,0,114,54,0,124,5,0, - 106,1,0,125,4,0,110,45,0,124,2,0,124,3,0,107, - 2,0,114,84,0,116,2,0,124,1,0,124,2,0,131,2, - 0,125,4,0,110,15,0,116,3,0,124,1,0,124,2,0, - 131,2,0,125,4,0,124,5,0,115,126,0,116,4,0,124, - 1,0,124,2,0,100,3,0,124,4,0,131,2,1,125,5, - 0,121,44,0,124,5,0,124,0,0,100,2,0,60,124,4, - 0,124,0,0,100,1,0,60,124,2,0,124,0,0,100,4, - 0,60,124,3,0,124,0,0,100,5,0,60,87,110,18,0, - 4,116,5,0,107,10,0,114,190,0,1,1,1,89,110,1, - 0,88,100,0,0,83,41,6,78,218,10,95,95,108,111,97, - 100,101,114,95,95,218,8,95,95,115,112,101,99,95,95,114, - 120,0,0,0,90,8,95,95,102,105,108,101,95,95,90,10, - 95,95,99,97,99,104,101,100,95,95,41,6,218,3,103,101, - 116,114,120,0,0,0,114,217,0,0,0,114,212,0,0,0, - 114,161,0,0,0,218,9,69,120,99,101,112,116,105,111,110, - 41,6,90,2,110,115,114,98,0,0,0,90,8,112,97,116, - 104,110,97,109,101,90,9,99,112,97,116,104,110,97,109,101, - 114,120,0,0,0,114,158,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,5,0,0,0,218,14,95,102,105,120,95, - 117,112,95,109,111,100,117,108,101,30,5,0,0,115,34,0, - 0,0,0,2,15,1,15,1,6,1,6,1,12,1,12,1, - 18,2,15,1,6,1,21,1,3,1,10,1,10,1,10,1, - 14,1,13,2,114,18,1,0,0,99,0,0,0,0,0,0, - 0,0,3,0,0,0,3,0,0,0,67,0,0,0,115,55, - 0,0,0,116,0,0,116,1,0,106,2,0,131,0,0,102, - 2,0,125,0,0,116,3,0,116,4,0,102,2,0,125,1, - 0,116,5,0,116,6,0,102,2,0,125,2,0,124,0,0, - 124,1,0,124,2,0,103,3,0,83,41,1,122,95,82,101, - 116,117,114,110,115,32,97,32,108,105,115,116,32,111,102,32, - 102,105,108,101,45,98,97,115,101,100,32,109,111,100,117,108, - 101,32,108,111,97,100,101,114,115,46,10,10,32,32,32,32, - 69,97,99,104,32,105,116,101,109,32,105,115,32,97,32,116, - 117,112,108,101,32,40,108,111,97,100,101,114,44,32,115,117, - 102,102,105,120,101,115,41,46,10,32,32,32,32,41,7,114, - 218,0,0,0,114,139,0,0,0,218,18,101,120,116,101,110, - 115,105,111,110,95,115,117,102,102,105,120,101,115,114,212,0, - 0,0,114,84,0,0,0,114,217,0,0,0,114,74,0,0, - 0,41,3,90,10,101,120,116,101,110,115,105,111,110,115,90, - 6,115,111,117,114,99,101,90,8,98,121,116,101,99,111,100, - 101,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, - 114,155,0,0,0,53,5,0,0,115,8,0,0,0,0,5, - 18,1,12,1,12,1,114,155,0,0,0,99,1,0,0,0, - 0,0,0,0,12,0,0,0,12,0,0,0,67,0,0,0, - 115,70,2,0,0,124,0,0,97,0,0,116,0,0,106,1, - 0,97,1,0,116,0,0,106,2,0,97,2,0,116,1,0, - 106,3,0,116,4,0,25,125,1,0,120,76,0,100,26,0, - 68,93,68,0,125,2,0,124,2,0,116,1,0,106,3,0, - 107,7,0,114,83,0,116,0,0,106,5,0,124,2,0,131, - 1,0,125,3,0,110,13,0,116,1,0,106,3,0,124,2, - 0,25,125,3,0,116,6,0,124,1,0,124,2,0,124,3, - 0,131,3,0,1,113,44,0,87,100,5,0,100,6,0,103, - 1,0,102,2,0,100,7,0,100,8,0,100,6,0,103,2, - 0,102,2,0,102,2,0,125,4,0,120,149,0,124,4,0, - 68,93,129,0,92,2,0,125,5,0,125,6,0,116,7,0, - 100,9,0,100,10,0,132,0,0,124,6,0,68,131,1,0, - 131,1,0,115,199,0,116,8,0,130,1,0,124,6,0,100, - 11,0,25,125,7,0,124,5,0,116,1,0,106,3,0,107, - 6,0,114,241,0,116,1,0,106,3,0,124,5,0,25,125, - 8,0,80,113,156,0,121,20,0,116,0,0,106,5,0,124, - 5,0,131,1,0,125,8,0,80,87,113,156,0,4,116,9, - 0,107,10,0,114,28,1,1,1,1,119,156,0,89,113,156, - 0,88,113,156,0,87,116,9,0,100,12,0,131,1,0,130, - 1,0,116,6,0,124,1,0,100,13,0,124,8,0,131,3, - 0,1,116,6,0,124,1,0,100,14,0,124,7,0,131,3, - 0,1,116,6,0,124,1,0,100,15,0,100,16,0,106,10, - 0,124,6,0,131,1,0,131,3,0,1,121,19,0,116,0, - 0,106,5,0,100,17,0,131,1,0,125,9,0,87,110,24, - 0,4,116,9,0,107,10,0,114,147,1,1,1,1,100,18, - 0,125,9,0,89,110,1,0,88,116,6,0,124,1,0,100, - 17,0,124,9,0,131,3,0,1,116,0,0,106,5,0,100, - 19,0,131,1,0,125,10,0,116,6,0,124,1,0,100,19, - 0,124,10,0,131,3,0,1,124,5,0,100,7,0,107,2, - 0,114,238,1,116,0,0,106,5,0,100,20,0,131,1,0, - 125,11,0,116,6,0,124,1,0,100,21,0,124,11,0,131, - 3,0,1,116,6,0,124,1,0,100,22,0,116,11,0,131, - 0,0,131,3,0,1,116,12,0,106,13,0,116,2,0,106, - 14,0,131,0,0,131,1,0,1,124,5,0,100,7,0,107, - 2,0,114,66,2,116,15,0,106,16,0,100,23,0,131,1, - 0,1,100,24,0,116,12,0,107,6,0,114,66,2,100,25, - 0,116,17,0,95,18,0,100,18,0,83,41,27,122,205,83, - 101,116,117,112,32,116,104,101,32,112,97,116,104,45,98,97, - 115,101,100,32,105,109,112,111,114,116,101,114,115,32,102,111, - 114,32,105,109,112,111,114,116,108,105,98,32,98,121,32,105, - 109,112,111,114,116,105,110,103,32,110,101,101,100,101,100,10, - 32,32,32,32,98,117,105,108,116,45,105,110,32,109,111,100, - 117,108,101,115,32,97,110,100,32,105,110,106,101,99,116,105, - 110,103,32,116,104,101,109,32,105,110,116,111,32,116,104,101, - 32,103,108,111,98,97,108,32,110,97,109,101,115,112,97,99, - 101,46,10,10,32,32,32,32,79,116,104,101,114,32,99,111, - 109,112,111,110,101,110,116,115,32,97,114,101,32,101,120,116, - 114,97,99,116,101,100,32,102,114,111,109,32,116,104,101,32, - 99,111,114,101,32,98,111,111,116,115,116,114,97,112,32,109, - 111,100,117,108,101,46,10,10,32,32,32,32,114,49,0,0, - 0,114,60,0,0,0,218,8,98,117,105,108,116,105,110,115, - 114,136,0,0,0,90,5,112,111,115,105,120,250,1,47,218, - 2,110,116,250,1,92,99,1,0,0,0,0,0,0,0,2, - 0,0,0,3,0,0,0,115,0,0,0,115,33,0,0,0, - 124,0,0,93,23,0,125,1,0,116,0,0,124,1,0,131, - 1,0,100,0,0,107,2,0,86,1,113,3,0,100,1,0, - 83,41,2,114,29,0,0,0,78,41,1,114,31,0,0,0, - 41,2,114,22,0,0,0,114,77,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,5,0,0,0,114,221,0,0,0, - 89,5,0,0,115,2,0,0,0,6,0,122,25,95,115,101, - 116,117,112,46,60,108,111,99,97,108,115,62,46,60,103,101, - 110,101,120,112,114,62,114,59,0,0,0,122,30,105,109,112, - 111,114,116,108,105,98,32,114,101,113,117,105,114,101,115,32, - 112,111,115,105,120,32,111,114,32,110,116,114,3,0,0,0, - 114,25,0,0,0,114,21,0,0,0,114,30,0,0,0,90, - 7,95,116,104,114,101,97,100,78,90,8,95,119,101,97,107, - 114,101,102,90,6,119,105,110,114,101,103,114,163,0,0,0, - 114,6,0,0,0,122,4,46,112,121,119,122,6,95,100,46, - 112,121,100,84,41,4,122,3,95,105,111,122,9,95,119,97, - 114,110,105,110,103,115,122,8,98,117,105,108,116,105,110,115, - 122,7,109,97,114,115,104,97,108,41,19,114,114,0,0,0, - 114,7,0,0,0,114,139,0,0,0,114,233,0,0,0,114, - 105,0,0,0,90,18,95,98,117,105,108,116,105,110,95,102, - 114,111,109,95,110,97,109,101,114,109,0,0,0,218,3,97, - 108,108,218,14,65,115,115,101,114,116,105,111,110,69,114,114, - 111,114,114,99,0,0,0,114,26,0,0,0,114,11,0,0, - 0,114,223,0,0,0,114,143,0,0,0,114,19,1,0,0, - 114,84,0,0,0,114,157,0,0,0,114,162,0,0,0,114, - 167,0,0,0,41,12,218,17,95,98,111,111,116,115,116,114, - 97,112,95,109,111,100,117,108,101,90,11,115,101,108,102,95, - 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, - 100,117,108,101,90,10,111,115,95,100,101,116,97,105,108,115, - 90,10,98,117,105,108,116,105,110,95,111,115,114,21,0,0, - 0,114,25,0,0,0,90,9,111,115,95,109,111,100,117,108, - 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, - 90,13,119,105,110,114,101,103,95,109,111,100,117,108,101,114, - 4,0,0,0,114,4,0,0,0,114,5,0,0,0,218,6, - 95,115,101,116,117,112,64,5,0,0,115,82,0,0,0,0, - 8,6,1,9,1,9,3,13,1,13,1,15,1,18,2,13, - 1,20,3,33,1,19,2,31,1,10,1,15,1,13,1,4, - 2,3,1,15,1,5,1,13,1,12,2,12,1,16,1,16, - 1,25,3,3,1,19,1,13,2,11,1,16,3,15,1,16, - 3,12,1,15,1,16,3,19,1,19,1,12,1,13,1,12, - 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0,125,3,0,110,13,0,116,1,0,106,3,0,124,2,0, + 25,125,3,0,116,6,0,124,1,0,124,2,0,124,3,0, + 131,3,0,1,113,44,0,87,100,5,0,100,6,0,103,1, + 0,102,2,0,100,7,0,100,8,0,100,6,0,103,2,0, + 102,2,0,102,2,0,125,4,0,120,149,0,124,4,0,68, + 93,129,0,92,2,0,125,5,0,125,6,0,116,7,0,100, + 9,0,100,10,0,132,0,0,124,6,0,68,131,1,0,131, + 1,0,115,199,0,116,8,0,130,1,0,124,6,0,100,11, + 0,25,125,7,0,124,5,0,116,1,0,106,3,0,107,6, + 0,114,241,0,116,1,0,106,3,0,124,5,0,25,125,8, + 0,80,113,156,0,121,20,0,116,0,0,106,5,0,124,5, + 0,131,1,0,125,8,0,80,87,113,156,0,4,116,9,0, + 107,10,0,114,28,1,1,1,1,119,156,0,89,113,156,0, + 88,113,156,0,87,116,9,0,100,12,0,131,1,0,130,1, + 0,116,6,0,124,1,0,100,13,0,124,8,0,131,3,0, + 1,116,6,0,124,1,0,100,14,0,124,7,0,131,3,0, + 1,116,6,0,124,1,0,100,15,0,100,16,0,106,10,0, + 124,6,0,131,1,0,131,3,0,1,121,19,0,116,0,0, + 106,5,0,100,17,0,131,1,0,125,9,0,87,110,24,0, + 4,116,9,0,107,10,0,114,147,1,1,1,1,100,18,0, + 125,9,0,89,110,1,0,88,116,6,0,124,1,0,100,17, + 0,124,9,0,131,3,0,1,116,0,0,106,5,0,100,19, + 0,131,1,0,125,10,0,116,6,0,124,1,0,100,19,0, + 124,10,0,131,3,0,1,124,5,0,100,7,0,107,2,0, + 114,238,1,116,0,0,106,5,0,100,20,0,131,1,0,125, + 11,0,116,6,0,124,1,0,100,21,0,124,11,0,131,3, + 0,1,116,6,0,124,1,0,100,22,0,116,11,0,131,0, + 0,131,3,0,1,116,12,0,106,13,0,116,2,0,106,14, + 0,131,0,0,131,1,0,1,124,5,0,100,7,0,107,2, + 0,114,66,2,116,15,0,106,16,0,100,23,0,131,1,0, + 1,100,24,0,116,12,0,107,6,0,114,66,2,100,25,0, + 116,17,0,95,18,0,100,18,0,83,41,27,122,205,83,101, + 116,117,112,32,116,104,101,32,112,97,116,104,45,98,97,115, + 101,100,32,105,109,112,111,114,116,101,114,115,32,102,111,114, + 32,105,109,112,111,114,116,108,105,98,32,98,121,32,105,109, + 112,111,114,116,105,110,103,32,110,101,101,100,101,100,10,32, + 32,32,32,98,117,105,108,116,45,105,110,32,109,111,100,117, + 108,101,115,32,97,110,100,32,105,110,106,101,99,116,105,110, + 103,32,116,104,101,109,32,105,110,116,111,32,116,104,101,32, + 103,108,111,98,97,108,32,110,97,109,101,115,112,97,99,101, + 46,10,10,32,32,32,32,79,116,104,101,114,32,99,111,109, + 112,111,110,101,110,116,115,32,97,114,101,32,101,120,116,114, + 97,99,116,101,100,32,102,114,111,109,32,116,104,101,32,99, + 111,114,101,32,98,111,111,116,115,116,114,97,112,32,109,111, + 100,117,108,101,46,10,10,32,32,32,32,114,61,0,0,0, + 114,74,0,0,0,218,8,98,117,105,108,116,105,110,115,114, + 160,0,0,0,90,5,112,111,115,105,120,250,1,47,218,2, + 110,116,250,1,92,99,1,0,0,0,0,0,0,0,2,0, + 0,0,3,0,0,0,115,0,0,0,115,33,0,0,0,124, + 0,0,93,23,0,125,1,0,116,0,0,124,1,0,131,1, + 0,100,0,0,107,2,0,86,1,113,3,0,100,1,0,83, + 41,2,114,36,0,0,0,78,41,1,114,38,0,0,0,41, + 2,114,27,0,0,0,114,91,0,0,0,114,4,0,0,0, + 114,4,0,0,0,114,5,0,0,0,114,226,0,0,0,106, + 5,0,0,243,2,0,0,0,6,0,122,25,95,115,101,116, + 117,112,46,60,108,111,99,97,108,115,62,46,60,103,101,110, + 101,120,112,114,62,114,72,0,0,0,122,30,105,109,112,111, + 114,116,108,105,98,32,114,101,113,117,105,114,101,115,32,112, + 111,115,105,120,32,111,114,32,110,116,114,3,0,0,0,114, + 31,0,0,0,114,26,0,0,0,114,37,0,0,0,90,7, + 95,116,104,114,101,97,100,78,90,8,95,119,101,97,107,114, + 101,102,90,6,119,105,110,114,101,103,114,191,0,0,0,114, + 6,0,0,0,122,4,46,112,121,119,122,6,95,100,46,112, + 121,100,84,41,4,122,3,95,105,111,122,9,95,119,97,114, + 110,105,110,103,115,122,8,98,117,105,108,116,105,110,115,122, + 7,109,97,114,115,104,97,108,41,19,114,135,0,0,0,114, + 9,0,0,0,114,163,0,0,0,114,54,1,0,0,114,125, + 0,0,0,90,18,95,98,117,105,108,116,105,110,95,102,114, + 111,109,95,110,97,109,101,114,129,0,0,0,218,3,97,108, + 108,218,14,65,115,115,101,114,116,105,111,110,69,114,114,111, + 114,114,118,0,0,0,114,32,0,0,0,114,13,0,0,0, + 114,37,1,0,0,114,168,0,0,0,114,134,1,0,0,114, + 99,0,0,0,114,184,0,0,0,114,190,0,0,0,114,196, + 0,0,0,41,12,218,17,95,98,111,111,116,115,116,114,97, + 112,95,109,111,100,117,108,101,90,11,115,101,108,102,95,109, + 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, + 117,108,101,90,10,111,115,95,100,101,116,97,105,108,115,90, + 10,98,117,105,108,116,105,110,95,111,115,114,26,0,0,0, + 114,31,0,0,0,90,9,111,115,95,109,111,100,117,108,101, + 90,13,116,104,114,101,97,100,95,109,111,100,117,108,101,90, + 14,119,101,97,107,114,101,102,95,109,111,100,117,108,101,90, + 13,119,105,110,114,101,103,95,109,111,100,117,108,101,114,4, + 0,0,0,114,4,0,0,0,114,5,0,0,0,218,6,95, + 115,101,116,117,112,81,5,0,0,243,82,0,0,0,0,8, + 6,1,9,1,9,3,13,1,13,1,15,1,18,2,13,1, + 20,3,33,1,19,2,31,1,10,1,15,1,13,1,4,2, + 3,1,15,1,5,1,13,1,12,2,12,1,16,1,16,1, + 25,3,3,1,19,1,13,2,11,1,16,3,15,1,16,3, + 12,1,15,1,16,3,19,1,19,1,12,1,13,1,12,1, + 114,144,1,0,0,99,1,0,0,0,0,0,0,0,2,0, + 0,0,3,0,0,0,67,0,0,0,115,116,0,0,0,116, + 0,0,124,0,0,131,1,0,1,116,1,0,131,0,0,125, + 1,0,116,2,0,106,3,0,106,4,0,116,5,0,106,6, + 0,124,1,0,140,0,0,103,1,0,131,1,0,1,116,7, + 0,106,8,0,100,1,0,107,2,0,114,78,0,116,2,0, + 106,9,0,106,10,0,116,11,0,131,1,0,1,116,2,0, + 106,9,0,106,10,0,116,12,0,131,1,0,1,116,5,0, + 124,0,0,95,5,0,116,13,0,124,0,0,95,13,0,100, + 2,0,83,41,3,122,41,73,110,115,116,97,108,108,32,116, + 104,101,32,112,97,116,104,45,98,97,115,101,100,32,105,109, + 112,111,114,116,32,99,111,109,112,111,110,101,110,116,115,46, + 114,138,1,0,0,78,41,14,114,144,1,0,0,114,182,0, + 0,0,114,9,0,0,0,114,87,1,0,0,114,168,0,0, + 0,114,102,1,0,0,114,124,1,0,0,114,3,0,0,0, + 114,125,0,0,0,218,9,109,101,116,97,95,112,97,116,104, + 114,184,0,0,0,114,190,0,0,0,114,81,1,0,0,114, + 14,1,0,0,41,2,114,143,1,0,0,90,17,115,117,112, + 112,111,114,116,101,100,95,108,111,97,100,101,114,115,114,4, + 0,0,0,114,4,0,0,0,114,5,0,0,0,218,8,95, + 105,110,115,116,97,108,108,149,5,0,0,243,16,0,0,0, + 0,2,10,1,9,1,28,1,15,1,16,1,16,4,9,1, + 114,147,1,0,0,41,3,122,3,119,105,110,114,1,0,0, + 0,114,2,0,0,0,41,56,114,127,0,0,0,114,12,0, + 0,0,114,13,0,0,0,114,20,0,0,0,114,23,0,0, + 0,114,34,0,0,0,114,45,0,0,0,114,47,0,0,0, + 114,52,0,0,0,114,54,0,0,0,114,57,0,0,0,114, + 67,0,0,0,218,4,116,121,112,101,218,8,95,95,99,111, + 100,101,95,95,114,162,0,0,0,114,18,0,0,0,114,151, + 0,0,0,114,17,0,0,0,114,22,0,0,0,90,17,95, + 82,65,87,95,77,65,71,73,67,95,78,85,77,66,69,82, + 114,87,0,0,0,114,99,0,0,0,114,88,0,0,0,90, + 23,68,69,66,85,71,95,66,89,84,69,67,79,68,69,95, + 83,85,70,70,73,88,69,83,90,27,79,80,84,73,77,73, + 90,69,68,95,66,89,84,69,67,79,68,69,95,83,85,70, + 70,73,88,69,83,114,93,0,0,0,114,100,0,0,0,114, + 107,0,0,0,114,112,0,0,0,114,115,0,0,0,114,137, + 0,0,0,114,145,0,0,0,114,158,0,0,0,114,165,0, + 0,0,114,169,0,0,0,114,175,0,0,0,218,6,111,98, + 106,101,99,116,114,183,0,0,0,114,188,0,0,0,114,190, + 0,0,0,114,211,0,0,0,114,229,0,0,0,114,231,0, + 0,0,114,255,0,0,0,114,14,1,0,0,114,23,1,0, + 0,114,37,1,0,0,114,27,1,0,0,114,43,1,0,0, + 114,70,1,0,0,114,81,1,0,0,114,102,1,0,0,114, + 132,1,0,0,114,182,0,0,0,114,144,1,0,0,114,147, + 1,0,0,114,4,0,0,0,114,4,0,0,0,114,4,0, + 0,0,114,5,0,0,0,218,8,60,109,111,100,117,108,101, + 62,8,0,0,0,243,98,0,0,0,6,17,6,3,12,12, + 12,5,12,5,12,6,12,12,12,10,12,9,12,5,12,7, + 15,22,15,111,22,1,18,2,6,2,9,2,9,2,10,2, + 21,44,12,35,12,19,12,12,12,12,12,28,12,17,21,55, + 21,12,18,10,12,14,9,3,12,1,15,65,19,64,19,29, + 12,7,22,119,19,41,25,45,25,16,6,3,25,53,19,57, + 19,42,19,134,19,147,15,23,12,11,12,68, }; diff -r bc625fce0aee Python/peephole.c --- a/Python/peephole.c Mon Jan 18 08:00:15 2016 +0100 +++ b/Python/peephole.c Mon Jan 18 09:59:14 2016 +0100 @@ -375,6 +375,7 @@ PyCode_Optimize(PyObject *code, PyObject assert(PyBytes_Check(lineno_obj)); lineno = (unsigned char*)PyBytes_AS_STRING(lineno_obj); tabsiz = PyBytes_GET_SIZE(lineno_obj); + assert(tabsiz == 0 || Py_REFCNT(lineno_obj) == 1); if (memchr(lineno, 255, tabsiz) != NULL) goto exitUnchanged; @@ -736,3 +737,111 @@ PyCode_Optimize(PyObject *code, PyObject Py_XINCREF(code); return code; } + + +/* PeepholeOptimizer */ + +static PyObject* +optimizer_code_transformer(PyObject *self, PyObject *args) +{ + PyObject *code, *consts, *names, *lnotab_orig, *context; + PyObject *lnotab; + Py_ssize_t tablen; + + if (!PyArg_ParseTuple(args, "O!OOO!O", + &PyBytes_Type, &code, &consts, &names, + &PyBytes_Type, &lnotab_orig, &context)) + return NULL; + + tablen = PyBytes_GET_SIZE(lnotab_orig); + if (tablen != 0) { + lnotab = PyBytes_FromStringAndSize(NULL, tablen ? tablen : 1); + if (lnotab == NULL) + return NULL; + assert(Py_REFCNT(lnotab) == 1); + memcpy(PyBytes_AS_STRING(lnotab), PyBytes_AS_STRING(lnotab_orig), tablen); + Py_SIZE(lnotab) = tablen; + } + else { + Py_INCREF(lnotab_orig); + lnotab = lnotab_orig; + } + + code = PyCode_Optimize(code, consts, names, lnotab); + + return Py_BuildValue("NOON", code, consts, names, lnotab); +} + +PyDoc_STRVAR(code_transformer_doc, +"code_transformer(code, consts, names, lnotab, context) -> tuple\n\ +\n\ +Run the peephole optimizer.\n" +"Return optimized code as (code, lnotab) tuple."); + +/* FIXME: remove useless constructor? */ +static PyObject * +optimizer_new(PyTypeObject *type, PyObject *args, PyObject *kwds) +{ + assert(type != NULL && type->tp_alloc != NULL); + return type->tp_alloc(type, 0); +} + +static PyObject * +optimizer_get_name(PyFunctionObject *op) +{ + return PyUnicode_FromString("opt"); +} + +static PyMethodDef optimizer_methods[] = { + {"code_transformer", optimizer_code_transformer, METH_VARARGS, + code_transformer_doc}, + {NULL, NULL} /* sentinel */ +}; + +static PyGetSetDef optimizer_getsetlist[] = { + {"name", (getter)optimizer_get_name, NULL}, + {NULL} /* Sentinel */ +}; + + +PyTypeObject _PyPeepholeOptimizer_Type = { + PyVarObject_HEAD_INIT(&PyType_Type, 0) + "PeepholeOptimizer", + 0, + 0, + 0, /* tp_dealloc */ + 0, /* tp_print */ + 0, /* tp_getattr */ + 0, /* tp_setattr */ + 0, /* tp_reserved */ + 0, /* tp_repr */ + 0, /* tp_as_number */ + 0, /* tp_as_sequence */ + 0, /* tp_as_mapping */ + 0, /* tp_hash */ + 0, /* tp_call */ + 0, /* tp_str */ + 0, /* tp_getattro */ + 0, /* tp_setattro */ + 0, /* tp_as_buffer */ + Py_TPFLAGS_DEFAULT, /* tp_flags */ + 0, /* tp_doc */ + 0, /* tp_traverse */ + 0, /* tp_clear */ + 0, /* tp_richcompare */ + 0, /* tp_weaklistoffset */ + 0, /* tp_iter */ + 0, /* tp_iternext */ + optimizer_methods, /* tp_methods */ + 0, /* tp_members */ + optimizer_getsetlist, /* tp_getset */ + 0, /* tp_base */ + 0, /* tp_dict */ + 0, /* tp_descr_get */ + 0, /* tp_descr_set */ + 0, /* tp_dictoffset */ + 0, /* tp_init */ + 0, /* tp_alloc */ + optimizer_new, /* tp_new */ + 0, /* tp_free */ +}; diff -r bc625fce0aee Python/pylifecycle.c --- a/Python/pylifecycle.c Mon Jan 18 08:00:15 2016 +0100 +++ b/Python/pylifecycle.c Mon Jan 18 09:59:14 2016 +0100 @@ -90,6 +90,7 @@ int Py_NoUserSiteDirectory = 0; /* for - int Py_UnbufferedStdioFlag = 0; /* Unbuffered binary std{in,out,err} */ int Py_HashRandomizationFlag = 0; /* for -R and PYTHONHASHSEED */ int Py_IsolatedFlag = 0; /* for -I, isolate from user's env */ +PyObject* _Py_OptimTag = NULL; /* optimization tag for importlib */ PyThreadState *_Py_Finalizing = NULL; @@ -377,6 +378,8 @@ void sysmod = _PySys_Init(); if (sysmod == NULL) Py_FatalError("Py_Initialize: can't initialize sys"); + Py_INCREF(sysmod); + interp->sys = sysmod; interp->sysdict = PyModule_GetDict(sysmod); if (interp->sysdict == NULL) Py_FatalError("Py_Initialize: can't initialize sys dict"); @@ -771,6 +774,8 @@ Py_NewInterpreter(void) if (bimod != NULL && sysmod != NULL) { PyObject *pstderr; + Py_INCREF(sysmod); + interp->sys = sysmod; interp->sysdict = PyModule_GetDict(sysmod); if (interp->sysdict == NULL) goto handle_error; diff -r bc625fce0aee Python/pystate.c --- a/Python/pystate.c Mon Jan 18 08:00:15 2016 +0100 +++ b/Python/pystate.c Mon Jan 18 09:59:14 2016 +0100 @@ -70,6 +70,7 @@ PyInterpreterState_New(void) #endif interp->modules = NULL; interp->modules_by_index = NULL; + interp->sys = NULL; interp->sysdict = NULL; interp->builtins = NULL; interp->builtins_copy = NULL; @@ -114,6 +115,7 @@ PyInterpreterState_Clear(PyInterpreterSt Py_CLEAR(interp->codec_error_registry); Py_CLEAR(interp->modules); Py_CLEAR(interp->modules_by_index); + Py_CLEAR(interp->sys); Py_CLEAR(interp->sysdict); Py_CLEAR(interp->builtins); Py_CLEAR(interp->builtins_copy); diff -r bc625fce0aee Python/pythonrun.c --- a/Python/pythonrun.c Mon Jan 18 08:00:15 2016 +0100 +++ b/Python/pythonrun.c Mon Jan 18 09:59:14 2016 +0100 @@ -1092,6 +1092,107 @@ Py_SymtableString(const char *str, const return st; } +static PyObject* +ast_transformers_context(PyObject *filename) +{ + PyObject *dict, *namespace; + + dict = PyDict_New(); + if (dict == NULL) + return NULL; + + if (PyDict_SetItemString(dict, "filename", filename) < 0) { + Py_DECREF(dict); + return NULL; + } + + namespace = _PyNamespace_New(dict); + Py_DECREF(dict); + return namespace; +} + +static mod_ty +ast_transformers(mod_ty mod, PyArena *arena, PyObject *filename, int start) +{ + PyObject *ast, *context = NULL; + int mode; + _PySys_CodeTransformer *transformers; + Py_ssize_t i, ntransformer, nasttransformer; + + assert(filename != NULL); + + if (_PySys_GetCodeTransformers(&transformers, &ntransformer) < 0) { + PyErr_SetString(PyExc_RuntimeError, + "failed to get code transformers"); + return NULL; + } + + nasttransformer = 0; + for (i=0; i < ntransformer; i++) { + if (transformers[i].ast_transformer) + nasttransformer++; + } + if (nasttransformer == 0) { + /* No AST transformer registered: nothing to do. + * Optimization to avoid calling the expensive functions + * PyAST_mod2obj(), PyAST_obj2mod(), PyAST_Validate(). */ + return mod; + } + + /* FIXME: the AST transformer can technically call + * sys.set_code_transformers(), we need to keep a strong reference on each + * AST transformer */ + + context = ast_transformers_context(filename); + + if (start == Py_file_input) + mode = 0; /* exec */ + else if (start == Py_eval_input) + mode = 1; /* eval */ + else { + assert(start == Py_single_input); + mode = 2; /* single */ + } + + ast = PyAST_mod2obj(mod); + if (ast == NULL) + goto error; + + for (i=0; i < ntransformer; i++) { + PyObject *ast_transformer, *new_ast; + + ast_transformer = transformers[i].ast_transformer; + if (ast_transformer == NULL) + continue; + + new_ast = PyObject_CallFunction(ast_transformer, "OO", ast, context); + Py_DECREF(ast); + + if (new_ast == NULL) { + /* FIXME: raise a better exception and chain the previous one */ + goto error; + } + + ast = new_ast; + } + + mod = PyAST_obj2mod(ast, arena, mode); + Py_DECREF(ast); + if (mod == NULL) + goto error; + + if (!PyAST_Validate(mod)) + goto error; + + Py_DECREF(context); + return mod; + +error: + /* FIXME: release reference to AST transformers */ + Py_XDECREF(context); + return NULL; +} + /* Preferred access to parser is through AST. */ mod_ty PyParser_ASTFromStringObject(const char *s, PyObject *filename, int start, @@ -1119,7 +1220,10 @@ PyParser_ASTFromStringObject(const char mod = NULL; } err_free(&err); - return mod; + if (mod == NULL) + return NULL; + + return ast_transformers(mod, arena, filename, start); } mod_ty @@ -1166,7 +1270,10 @@ PyParser_ASTFromFileObject(FILE *fp, PyO mod = NULL; } err_free(&err); - return mod; + if (mod == NULL) + return NULL; + + return ast_transformers(mod, arena, filename, start); } mod_ty diff -r bc625fce0aee Python/sysmodule.c --- a/Python/sysmodule.c Mon Jan 18 08:00:15 2016 +0100 +++ b/Python/sysmodule.c Mon Jan 18 09:59:14 2016 +0100 @@ -42,11 +42,26 @@ extern const char *PyWin_DLLVersionStrin _Py_IDENTIFIER(buffer); _Py_IDENTIFIER(builtins); _Py_IDENTIFIER(encoding); +_Py_IDENTIFIER(name); _Py_IDENTIFIER(path); _Py_IDENTIFIER(stdout); _Py_IDENTIFIER(stderr); _Py_IDENTIFIER(write); +/* State of the sys module, per PEP 3121. */ +typedef struct { + Py_ssize_t ntransformer; + /* FIXME: free memory at exit */ + _PySys_CodeTransformer *transformers; +} PySysState; + +/* Given a module object, get its per-module state. */ +static PySysState * +_PySys_GetState(PyObject *module) +{ + return (PySysState *)PyModule_GetState(module); +} + PyObject * _PySys_GetObjectId(_Py_Identifier *key) { @@ -709,6 +724,255 @@ Return the wrapper for coroutine objects ); +static void +code_transformers_dealloc(Py_ssize_t ntransformer, + _PySys_CodeTransformer *transformers) +{ + Py_ssize_t i; + + for (i=0; i < ntransformer; i++) { + Py_DECREF(transformers[i].transformer); + Py_DECREF(transformers[i].name); + Py_XDECREF(transformers[i].ast_transformer); + Py_XDECREF(transformers[i].code_transformer); + } + PyMem_Free(transformers); +} + +static int +sys_check_code_transformer_name(PyObject *name, Py_ssize_t len, Py_UCS4 ch) +{ + Py_ssize_t pos; + + pos = PyUnicode_FindChar(name, ch, 0, len, 1); + if (pos == -2) + return -1; + if (pos != -1) { + PyErr_SetString(PyExc_ValueError, + "invalid transformer name"); + return -1; + } + + return 0; +} + +static int +sys_init_code_transformer(_PySys_CodeTransformer *self, PyObject *transformer) +{ + PyObject *name = NULL, *ast_transformer = NULL, *code_transformer = NULL; + Py_ssize_t len; + int res = -1; + + name = _PyObject_GetAttrId(transformer, &PyId_name); + if (name == NULL) + goto exit; + + if (!PyUnicode_Check(name)) { + PyErr_Format(PyExc_TypeError, + "transformer name type must be str, got %s", + Py_TYPE(name)->tp_name); + goto exit; + } + + if (PyUnicode_READY(name) == -1) + goto exit; + len = PyUnicode_GET_LENGTH(name); + + if (len == 0) { + PyErr_SetString(PyExc_ValueError, + "transformer name must be non-empty"); + goto exit; + } + + if (sys_check_code_transformer_name(name, len, '-') < 0) + goto exit; + if (sys_check_code_transformer_name(name, len, '.') < 0) + goto exit; + if (sys_check_code_transformer_name(name, len, '\0') < 0) + goto exit; + if (sys_check_code_transformer_name(name, len, SEP) < 0) + goto exit; +#ifdef ALTSEP + if (sys_check_code_transformer_name(name, len, ALTSEP) < 0) + goto exit; +#endif + + ast_transformer = PyObject_GetAttrString(transformer, "ast_transformer"); + if (ast_transformer == NULL) { + if (!PyErr_ExceptionMatches(PyExc_AttributeError)) + goto exit; + PyErr_Clear(); + } + + code_transformer = PyObject_GetAttrString(transformer, "code_transformer"); + if (code_transformer == NULL) { + if (!PyErr_ExceptionMatches(PyExc_AttributeError)) + goto exit; + PyErr_Clear(); + } + + if (ast_transformer == NULL && code_transformer == NULL) { + PyErr_SetString(PyExc_ValueError, + "a code transformer must have a code_transformer() " + "and/or a ast_transformer() method"); + goto exit; + } + + Py_INCREF(transformer); + self->transformer = transformer; + Py_INCREF(name); + self->name = name; + Py_XINCREF(ast_transformer); + self->ast_transformer = ast_transformer; + Py_XINCREF(code_transformer); + self->code_transformer = code_transformer; + res = 0; + +exit: + Py_DECREF(name); + Py_XDECREF(code_transformer); + Py_XDECREF(ast_transformer); + return res; +} + +static PyObject * +sys_set_code_transformers(PyObject *self, PyObject *transformers_seq) +{ + PySysState *st = _PySys_GetState(self); + PyObject *seq; + PyObject *names = NULL, *optim_tag, *implementation; + _PySys_CodeTransformer *transformers = NULL; + Py_ssize_t i, ntransformer, ninitialized = 0, size; + + implementation = PySys_GetObject("implementation"); + if (implementation == NULL) { + PyErr_SetString(PyExc_RuntimeError, "lost sys.implementation"); + goto error; + } + + seq = PySequence_Fast(transformers_seq, + "transformers must be a sequence " + "of code transformers"); + if (seq == NULL) + goto error; + + ntransformer = PySequence_Fast_GET_SIZE(seq); + + if (ntransformer > PY_SSIZE_T_MAX / (Py_ssize_t)sizeof(transformers[0])) { + PyErr_NoMemory(); + goto error; + } + size = ntransformer * sizeof(transformers[0]); + transformers = PyMem_Malloc(size); + if (transformers == NULL) { + PyErr_NoMemory(); + goto error; + } + + names = PyList_New(0); + if (names == NULL) + goto error; + + for (i=0; i < ntransformer; i++) { + PyObject *transformer = PySequence_Fast_GET_ITEM(seq, i); + if (sys_init_code_transformer(&transformers[i], transformer) < 0) + goto error; + ninitialized++; + + if (PyList_Append(names, transformers[i].name) < 0) + goto error; + } + + if (PyList_GET_SIZE(names) > 0) { + PyObject *dash = PyUnicode_FromString("-"); + if (dash == NULL) + goto error; + + optim_tag = PyUnicode_Join(dash, names); + Py_DECREF(dash); + } + else { + optim_tag = PyUnicode_FromString("noopt"); + if (optim_tag == NULL) + goto error; + } + + if (PyObject_SetAttrString(implementation, "optim_tag", optim_tag) < 0) { + Py_DECREF(optim_tag); + goto error; + } + Py_DECREF(optim_tag); + + /* release memory */ + Py_DECREF(names); + Py_DECREF(seq); + + code_transformers_dealloc(st->ntransformer, st->transformers); + st->ntransformer = ntransformer; + st->transformers = transformers; + + Py_RETURN_NONE; + +error: + Py_XDECREF(seq); + code_transformers_dealloc(ninitialized, transformers); + Py_XDECREF(names); + return NULL; +} + +PyDoc_STRVAR(set_code_transformers_doc, +"set_code_transformers(transformers)\n" +"\n" +"Set code transformers."); + +int +_PySys_GetCodeTransformers(_PySys_CodeTransformer **transformers, + Py_ssize_t *ntransformer) +{ + PyThreadState *tstate; + PyObject *sysmod; + PySysState *st; + + tstate = PyThreadState_GET(); + sysmod = tstate->interp->sys; + if (sysmod == NULL) + return -1; + + st = _PySys_GetState(sysmod); + if (st == NULL) + return -1; + + *ntransformer = st->ntransformer; + *transformers = st->transformers; + return 0; +} + +static PyObject * +sys_get_code_transformers(PyObject *self, PyObject *args) +{ + PySysState *st = _PySys_GetState(self); + PyObject *list; + Py_ssize_t i; + + list = PyList_New(st->ntransformer); + if (list == NULL) + return NULL; + + for (i=0; i < st->ntransformer; i++) { + PyObject *transformer = st->transformers[i].transformer; + Py_INCREF(transformer); + PyList_SET_ITEM(list, i, transformer); + } + + return list; +} + +PyDoc_STRVAR(get_code_transformers_doc, +"get_code_transformers() -> list\n" +"\n" +"Return the list of code transformers."); + + static PyTypeObject Hash_InfoType; PyDoc_STRVAR(hash_info_doc, @@ -1283,6 +1547,10 @@ static PyMethodDef sys_methods[] = { set_coroutine_wrapper_doc}, {"get_coroutine_wrapper", sys_get_coroutine_wrapper, METH_NOARGS, get_coroutine_wrapper_doc}, + {"set_code_transformers", sys_set_code_transformers, METH_O, + set_code_transformers_doc}, + {"get_code_transformers", sys_get_code_transformers, METH_NOARGS, + get_code_transformers_doc}, {NULL, NULL} /* sentinel */ }; @@ -1679,6 +1947,20 @@ make_impl_info(PyObject *version_info) if (res < 0) goto error; + if (_Py_OptimTag) { + Py_INCREF(_Py_OptimTag); + value = _Py_OptimTag; + } + else { + value = PyUnicode_FromString("opt"); + if (value == NULL) + goto error; + } + res = PyDict_SetItemString(impl_info, "optim_tag", value); + Py_DECREF(value); + if (res < 0) + goto error; + res = PyDict_SetItemString(impl_info, "version", version_info); if (res < 0) goto error; @@ -1702,27 +1984,92 @@ error: return NULL; } +static int +sys_traverse(PyObject *self, visitproc visit, void *arg) +{ + PySysState *st = _PySys_GetState(self); + Py_ssize_t i; + + for (i=0; i < st->ntransformer; i++) { + Py_VISIT(st->transformers[i].transformer); + } + return 0; +} + +static int +sys_clear(PyObject *self) +{ + PySysState *st = _PySys_GetState(self); + + code_transformers_dealloc(st->ntransformer, st->transformers); + + st->ntransformer = 0; + st->transformers = NULL; + return 0; +} + +static void +sys_free(void *self) +{ + sys_clear((PyObject *)self); +} + static struct PyModuleDef sysmodule = { PyModuleDef_HEAD_INIT, "sys", sys_doc, - -1, /* multiple "initialization" just copies the module dict. */ + sizeof(PySysState), /* multiple "initialization" just copies the module dict. */ sys_methods, NULL, - NULL, - NULL, - NULL + sys_traverse, + sys_clear, + sys_free }; +int +set_peephole_optimizer(PyObject *m) +{ + PySysState *st = _PySys_GetState(m); + PyObject *optimizer; + + assert(st->ntransformer == 0); + assert(st->transformers == NULL); + + optimizer = PyObject_CallFunction((PyObject *)&_PyPeepholeOptimizer_Type, NULL); + if (optimizer == NULL) + return -1; + + st->transformers = PyMem_Malloc(sizeof(st->transformers[0])); + if (st->transformers == NULL) { + PyErr_NoMemory(); + Py_DECREF(optimizer); + return -1; + } + + if (sys_init_code_transformer(&st->transformers[0], optimizer) < 0) { + Py_DECREF(optimizer); + return -1; + } + Py_DECREF(optimizer); + + st->ntransformer = 1; + return 0; +} + PyObject * _PySys_Init(void) { PyObject *m, *sysdict, *version_info; int res; + /* Py_NewInterpreter() calls _PyImport_FindBuiltin("sys") which requires + * an init method because the sys module has a state. */ + sysmodule.m_base.m_init = _PySys_Init; + m = PyModule_Create(&sysmodule); if (m == NULL) return NULL; + sysdict = PyModule_GetDict(m); #define SET_SYS_FROM_STRING_BORROW(key, value) \ do { \ @@ -1901,6 +2248,12 @@ PyObject * SET_SYS_FROM_STRING("thread_info", PyThread_GetInfo()); #endif + if (!_Py_OptimTag + || PyUnicode_CompareWithASCIIString(_Py_OptimTag, "opt") == 0) { + if (set_peephole_optimizer(m) < 0) + return NULL; + } + #undef SET_SYS_FROM_STRING #undef SET_SYS_FROM_STRING_BORROW if (PyErr_Occurred())