From 0e722e7d02cbeb9fe273459eb5655cea3451e73c Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Wed, 8 Jun 2016 10:16:50 +0200 Subject: py_getrandom(): use char* instead of void* for the destination Fix a "gcc -pedantic" warning on "buffer += n" because buffer type is void*. --- Python/random.c | 13 ++++++++----- 1 file changed, 8 insertions(+), 5 deletions(-) (limited to 'Python') diff --git a/Python/random.c b/Python/random.c index ef3a4cd9cf..cd8d945f8f 100644 --- a/Python/random.c +++ b/Python/random.c @@ -132,11 +132,14 @@ py_getrandom(void *buffer, Py_ssize_t size, int raise) * see https://bugs.python.org/issue26839. To avoid this, use the * GRND_NONBLOCK flag. */ const int flags = GRND_NONBLOCK; + + char *dest; int n; if (!getrandom_works) return 0; + dest = buffer; while (0 < size) { #ifdef sun /* Issue #26735: On Solaris, getrandom() is limited to returning up @@ -150,11 +153,11 @@ py_getrandom(void *buffer, Py_ssize_t size, int raise) #ifdef HAVE_GETRANDOM if (raise) { Py_BEGIN_ALLOW_THREADS - n = getrandom(buffer, n, flags); + n = getrandom(dest, n, flags); Py_END_ALLOW_THREADS } else { - n = getrandom(buffer, n, flags); + n = getrandom(dest, n, flags); } #else /* On Linux, use the syscall() function because the GNU libc doesn't @@ -162,11 +165,11 @@ py_getrandom(void *buffer, Py_ssize_t size, int raise) * https://sourceware.org/bugzilla/show_bug.cgi?id=17252 */ if (raise) { Py_BEGIN_ALLOW_THREADS - n = syscall(SYS_getrandom, buffer, n, flags); + n = syscall(SYS_getrandom, dest, n, flags); Py_END_ALLOW_THREADS } else { - n = syscall(SYS_getrandom, buffer, n, flags); + n = syscall(SYS_getrandom, dest, n, flags); } #endif @@ -204,7 +207,7 @@ py_getrandom(void *buffer, Py_ssize_t size, int raise) return -1; } - buffer += n; + dest += n; size -= n; } return 1; -- cgit v1.2.1 From a397e56d2aad76fe5cacd54a2ecbdb03702985c7 Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Thu, 9 Jun 2016 16:16:06 +0300 Subject: Issue #26305: Argument Clinic now uses braces in C code as required by PEP 7. --- Python/clinic/bltinmodule.c.h | 44 ++++++++++++++++++++++++++++--------------- Python/clinic/import.c.h | 29 ++++++++++++++++++---------- 2 files changed, 48 insertions(+), 25 deletions(-) (limited to 'Python') diff --git a/Python/clinic/bltinmodule.c.h b/Python/clinic/bltinmodule.c.h index 90995e5ac7..6df3ef5839 100644 --- a/Python/clinic/bltinmodule.c.h +++ b/Python/clinic/bltinmodule.c.h @@ -94,8 +94,9 @@ builtin_format(PyModuleDef *module, PyObject *args) PyObject *format_spec = NULL; if (!PyArg_ParseTuple(args, "O|U:format", - &value, &format_spec)) + &value, &format_spec)) { goto exit; + } return_value = builtin_format_impl(module, value, format_spec); exit: @@ -120,8 +121,9 @@ builtin_chr(PyModuleDef *module, PyObject *arg) PyObject *return_value = NULL; int i; - if (!PyArg_Parse(arg, "i:chr", &i)) + if (!PyArg_Parse(arg, "i:chr", &i)) { goto exit; + } return_value = builtin_chr_impl(module, i); exit: @@ -167,8 +169,9 @@ builtin_compile(PyModuleDef *module, PyObject *args, PyObject *kwargs) int optimize = -1; if (!PyArg_ParseTupleAndKeywords(args, kwargs, "OO&s|iii:compile", _keywords, - &source, PyUnicode_FSDecoder, &filename, &mode, &flags, &dont_inherit, &optimize)) + &source, PyUnicode_FSDecoder, &filename, &mode, &flags, &dont_inherit, &optimize)) { goto exit; + } return_value = builtin_compile_impl(module, source, filename, mode, flags, dont_inherit, optimize); exit: @@ -196,8 +199,9 @@ builtin_divmod(PyModuleDef *module, PyObject *args) if (!PyArg_UnpackTuple(args, "divmod", 2, 2, - &x, &y)) + &x, &y)) { goto exit; + } return_value = builtin_divmod_impl(module, x, y); exit: @@ -233,8 +237,9 @@ builtin_eval(PyModuleDef *module, PyObject *args) if (!PyArg_UnpackTuple(args, "eval", 1, 3, - &source, &globals, &locals)) + &source, &globals, &locals)) { goto exit; + } return_value = builtin_eval_impl(module, source, globals, locals); exit: @@ -270,8 +275,9 @@ builtin_exec(PyModuleDef *module, PyObject *args) if (!PyArg_UnpackTuple(args, "exec", 1, 3, - &source, &globals, &locals)) + &source, &globals, &locals)) { goto exit; + } return_value = builtin_exec_impl(module, source, globals, locals); exit: @@ -322,8 +328,9 @@ builtin_hasattr(PyModuleDef *module, PyObject *args) if (!PyArg_UnpackTuple(args, "hasattr", 2, 2, - &obj, &name)) + &obj, &name)) { goto exit; + } return_value = builtin_hasattr_impl(module, obj, name); exit: @@ -367,8 +374,9 @@ builtin_setattr(PyModuleDef *module, PyObject *args) if (!PyArg_UnpackTuple(args, "setattr", 3, 3, - &obj, &name, &value)) + &obj, &name, &value)) { goto exit; + } return_value = builtin_setattr_impl(module, obj, name, value); exit: @@ -398,8 +406,9 @@ builtin_delattr(PyModuleDef *module, PyObject *args) if (!PyArg_UnpackTuple(args, "delattr", 2, 2, - &obj, &name)) + &obj, &name)) { goto exit; + } return_value = builtin_delattr_impl(module, obj, name); exit: @@ -507,8 +516,9 @@ builtin_pow(PyModuleDef *module, PyObject *args) if (!PyArg_UnpackTuple(args, "pow", 2, 3, - &x, &y, &z)) + &x, &y, &z)) { goto exit; + } return_value = builtin_pow_impl(module, x, y, z); exit: @@ -541,8 +551,9 @@ builtin_input(PyModuleDef *module, PyObject *args) if (!PyArg_UnpackTuple(args, "input", 0, 1, - &prompt)) + &prompt)) { goto exit; + } return_value = builtin_input_impl(module, prompt); exit: @@ -585,8 +596,9 @@ builtin_sum(PyModuleDef *module, PyObject *args) if (!PyArg_UnpackTuple(args, "sum", 1, 2, - &iterable, &start)) + &iterable, &start)) { goto exit; + } return_value = builtin_sum_impl(module, iterable, start); exit: @@ -619,8 +631,9 @@ builtin_isinstance(PyModuleDef *module, PyObject *args) if (!PyArg_UnpackTuple(args, "isinstance", 2, 2, - &obj, &class_or_tuple)) + &obj, &class_or_tuple)) { goto exit; + } return_value = builtin_isinstance_impl(module, obj, class_or_tuple); exit: @@ -653,11 +666,12 @@ builtin_issubclass(PyModuleDef *module, PyObject *args) if (!PyArg_UnpackTuple(args, "issubclass", 2, 2, - &cls, &class_or_tuple)) + &cls, &class_or_tuple)) { goto exit; + } return_value = builtin_issubclass_impl(module, cls, class_or_tuple); exit: return return_value; } -/*[clinic end generated code: output=4bef16b6aa432879 input=a9049054013a1b77]*/ +/*[clinic end generated code: output=940f25126caf8166 input=a9049054013a1b77]*/ diff --git a/Python/clinic/import.c.h b/Python/clinic/import.c.h index 247766519e..9b9f812ced 100644 --- a/Python/clinic/import.c.h +++ b/Python/clinic/import.c.h @@ -89,8 +89,9 @@ _imp__fix_co_filename(PyModuleDef *module, PyObject *args) PyObject *path; if (!PyArg_ParseTuple(args, "O!U:_fix_co_filename", - &PyCode_Type, &code, &path)) + &PyCode_Type, &code, &path)) { goto exit; + } return_value = _imp__fix_co_filename_impl(module, code, path); exit: @@ -142,8 +143,9 @@ _imp_init_frozen(PyModuleDef *module, PyObject *arg) PyObject *return_value = NULL; PyObject *name; - if (!PyArg_Parse(arg, "U:init_frozen", &name)) + if (!PyArg_Parse(arg, "U:init_frozen", &name)) { goto exit; + } return_value = _imp_init_frozen_impl(module, name); exit: @@ -168,8 +170,9 @@ _imp_get_frozen_object(PyModuleDef *module, PyObject *arg) PyObject *return_value = NULL; PyObject *name; - if (!PyArg_Parse(arg, "U:get_frozen_object", &name)) + if (!PyArg_Parse(arg, "U:get_frozen_object", &name)) { goto exit; + } return_value = _imp_get_frozen_object_impl(module, name); exit: @@ -194,8 +197,9 @@ _imp_is_frozen_package(PyModuleDef *module, PyObject *arg) PyObject *return_value = NULL; PyObject *name; - if (!PyArg_Parse(arg, "U:is_frozen_package", &name)) + if (!PyArg_Parse(arg, "U:is_frozen_package", &name)) { goto exit; + } return_value = _imp_is_frozen_package_impl(module, name); exit: @@ -220,8 +224,9 @@ _imp_is_builtin(PyModuleDef *module, PyObject *arg) PyObject *return_value = NULL; PyObject *name; - if (!PyArg_Parse(arg, "U:is_builtin", &name)) + if (!PyArg_Parse(arg, "U:is_builtin", &name)) { goto exit; + } return_value = _imp_is_builtin_impl(module, name); exit: @@ -246,8 +251,9 @@ _imp_is_frozen(PyModuleDef *module, PyObject *arg) PyObject *return_value = NULL; PyObject *name; - if (!PyArg_Parse(arg, "U:is_frozen", &name)) + if (!PyArg_Parse(arg, "U:is_frozen", &name)) { goto exit; + } return_value = _imp_is_frozen_impl(module, name); exit: @@ -277,8 +283,9 @@ _imp_create_dynamic(PyModuleDef *module, PyObject *args) if (!PyArg_UnpackTuple(args, "create_dynamic", 1, 2, - &spec, &file)) + &spec, &file)) { goto exit; + } return_value = _imp_create_dynamic_impl(module, spec, file); exit: @@ -308,8 +315,9 @@ _imp_exec_dynamic(PyModuleDef *module, PyObject *mod) int _return_value; _return_value = _imp_exec_dynamic_impl(module, mod); - if ((_return_value == -1) && PyErr_Occurred()) + if ((_return_value == -1) && PyErr_Occurred()) { goto exit; + } return_value = PyLong_FromLong((long)_return_value); exit: @@ -337,8 +345,9 @@ _imp_exec_builtin(PyModuleDef *module, PyObject *mod) int _return_value; _return_value = _imp_exec_builtin_impl(module, mod); - if ((_return_value == -1) && PyErr_Occurred()) + if ((_return_value == -1) && PyErr_Occurred()) { goto exit; + } return_value = PyLong_FromLong((long)_return_value); exit: @@ -352,4 +361,4 @@ exit: #ifndef _IMP_EXEC_DYNAMIC_METHODDEF #define _IMP_EXEC_DYNAMIC_METHODDEF #endif /* !defined(_IMP_EXEC_DYNAMIC_METHODDEF) */ -/*[clinic end generated code: output=32324a5e46cdfc4b input=a9049054013a1b77]*/ +/*[clinic end generated code: output=22a7225925755674 input=a9049054013a1b77]*/ -- cgit v1.2.1 From 6562977b6a026761071df890854ac71d446bb3b1 Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Thu, 9 Jun 2016 16:30:29 +0300 Subject: Issue #26282: PyArg_ParseTupleAndKeywords() and Argument Clinic now support positional-only and keyword parameters in the same function. --- Python/getargs.c | 121 ++++++++++++++++++++++++++++++++++++------------------- 1 file changed, 79 insertions(+), 42 deletions(-) (limited to 'Python') diff --git a/Python/getargs.c b/Python/getargs.c index 9858bd560c..4418ebb664 100644 --- a/Python/getargs.c +++ b/Python/getargs.c @@ -1443,7 +1443,8 @@ vgetargskeywords(PyObject *args, PyObject *keywords, const char *format, const char *fname, *msg, *custom_msg, *keyword; int min = INT_MAX; int max = INT_MAX; - int i, len; + int i, pos, len; + int skip = 0; Py_ssize_t nargs, nkeywords; PyObject *current_arg; freelistentry_t static_entries[STATIC_FREELIST_ENTRIES]; @@ -1471,9 +1472,17 @@ vgetargskeywords(PyObject *args, PyObject *keywords, const char *format, custom_msg++; } + /* scan kwlist and count the number of positional-only parameters */ + for (pos = 0; kwlist[pos] && !*kwlist[pos]; pos++) { + } /* scan kwlist and get greatest possible nbr of args */ - for (len=0; kwlist[len]; len++) - continue; + for (len = pos; kwlist[len]; len++) { + if (!*kwlist[len]) { + PyErr_SetString(PyExc_SystemError, + "Empty keyword parameter name"); + return cleanreturn(0, &freelist); + } + } if (len > STATIC_FREELIST_ENTRIES) { freelist.entries = PyMem_NEW(freelistentry_t, len); @@ -1526,6 +1535,14 @@ vgetargskeywords(PyObject *args, PyObject *keywords, const char *format, max = i; format++; + if (max < pos) { + PyErr_SetString(PyExc_SystemError, + "Empty parameter name after $"); + return cleanreturn(0, &freelist); + } + if (skip) { + break; + } if (max < nargs) { PyErr_Format(PyExc_TypeError, "Function takes %s %d positional arguments" @@ -1541,48 +1558,59 @@ vgetargskeywords(PyObject *args, PyObject *keywords, const char *format, "format specifiers (%d)", len, i); return cleanreturn(0, &freelist); } - current_arg = NULL; - if (nkeywords) { - current_arg = PyDict_GetItemString(keywords, keyword); - } - if (current_arg) { - --nkeywords; - if (i < nargs) { - /* arg present in tuple and in dict */ - PyErr_Format(PyExc_TypeError, - "Argument given by name ('%s') " - "and position (%d)", - keyword, i+1); - return cleanreturn(0, &freelist); + if (!skip) { + current_arg = NULL; + if (nkeywords && i >= pos) { + current_arg = PyDict_GetItemString(keywords, keyword); + if (!current_arg && PyErr_Occurred()) { + return cleanreturn(0, &freelist); + } } - } - else if (nkeywords && PyErr_Occurred()) - return cleanreturn(0, &freelist); - else if (i < nargs) - current_arg = PyTuple_GET_ITEM(args, i); - - if (current_arg) { - msg = convertitem(current_arg, &format, p_va, flags, - levels, msgbuf, sizeof(msgbuf), &freelist); - if (msg) { - seterror(i+1, msg, levels, fname, custom_msg); - return cleanreturn(0, &freelist); + if (current_arg) { + --nkeywords; + if (i < nargs) { + /* arg present in tuple and in dict */ + PyErr_Format(PyExc_TypeError, + "Argument given by name ('%s') " + "and position (%d)", + keyword, i+1); + return cleanreturn(0, &freelist); + } + } + else if (i < nargs) + current_arg = PyTuple_GET_ITEM(args, i); + + if (current_arg) { + msg = convertitem(current_arg, &format, p_va, flags, + levels, msgbuf, sizeof(msgbuf), &freelist); + if (msg) { + seterror(i+1, msg, levels, fname, custom_msg); + return cleanreturn(0, &freelist); + } + continue; } - continue; - } - if (i < min) { - PyErr_Format(PyExc_TypeError, "Required argument " - "'%s' (pos %d) not found", - keyword, i+1); - return cleanreturn(0, &freelist); + if (i < min) { + if (i < pos) { + assert (min == INT_MAX); + assert (max == INT_MAX); + skip = 1; + } + else { + PyErr_Format(PyExc_TypeError, "Required argument " + "'%s' (pos %d) not found", + keyword, i+1); + return cleanreturn(0, &freelist); + } + } + /* current code reports success when all required args + * fulfilled and no keyword args left, with no further + * validation. XXX Maybe skip this in debug build ? + */ + if (!nkeywords && !skip) { + return cleanreturn(1, &freelist); + } } - /* current code reports success when all required args - * fulfilled and no keyword args left, with no further - * validation. XXX Maybe skip this in debug build ? - */ - if (!nkeywords) - return cleanreturn(1, &freelist); /* We are into optional args, skip thru to any remaining * keyword args */ @@ -1594,6 +1622,15 @@ vgetargskeywords(PyObject *args, PyObject *keywords, const char *format, } } + if (skip) { + PyErr_Format(PyExc_TypeError, + "Function takes %s %d positional arguments" + " (%d given)", + (Py_MIN(pos, min) < i) ? "at least" : "exactly", + Py_MIN(pos, min), nargs); + return cleanreturn(0, &freelist); + } + if (!IS_END_OF_FORMAT(*format) && (*format != '|') && (*format != '$')) { PyErr_Format(PyExc_SystemError, "more argument specifiers than keyword list entries " @@ -1613,7 +1650,7 @@ vgetargskeywords(PyObject *args, PyObject *keywords, const char *format, return cleanreturn(0, &freelist); } for (i = 0; i < len; i++) { - if (!PyUnicode_CompareWithASCIIString(key, kwlist[i])) { + if (*kwlist[i] && !PyUnicode_CompareWithASCIIString(key, kwlist[i])) { match = 1; break; } -- cgit v1.2.1 From 5486e94c1ad7342d7a892631cc8e7ff33a022ae8 Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Sun, 12 Jun 2016 00:39:41 +0300 Subject: Issue #27140: Added BUILD_CONST_KEY_MAP opcode. --- Python/ceval.c | 33 + Python/compile.c | 185 +++- Python/importlib_external.h | 2310 +++++++++++++++++++++---------------------- Python/opcode_targets.h | 2 +- 4 files changed, 1345 insertions(+), 1185 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index b6ce67cb48..1d3bc90093 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -2647,6 +2647,39 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) DISPATCH(); } + TARGET(BUILD_CONST_KEY_MAP) { + int i; + PyObject *map; + PyObject *keys = TOP(); + if (!PyTuple_CheckExact(keys) || + PyTuple_GET_SIZE(keys) != (Py_ssize_t)oparg) { + PyErr_SetString(PyExc_SystemError, + "bad BUILD_CONST_KEY_MAP keys argument"); + goto error; + } + map = _PyDict_NewPresized((Py_ssize_t)oparg); + if (map == NULL) { + goto error; + } + for (i = oparg; i > 0; i--) { + int err; + PyObject *key = PyTuple_GET_ITEM(keys, oparg - i); + PyObject *value = PEEK(i + 1); + err = PyDict_SetItem(map, key, value); + if (err != 0) { + Py_DECREF(map); + goto error; + } + } + + Py_DECREF(POP()); + while (oparg--) { + Py_DECREF(POP()); + } + PUSH(map); + DISPATCH(); + } + TARGET(BUILD_MAP_UNPACK_WITH_CALL) TARGET(BUILD_MAP_UNPACK) { int with_call = opcode == BUILD_MAP_UNPACK_WITH_CALL; diff --git a/Python/compile.c b/Python/compile.c index ffde903d65..2d59d38037 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -980,6 +980,8 @@ PyCompile_OpcodeStackEffect(int opcode, int oparg) return 1 - (oparg & 0xFF); case BUILD_MAP: return 1 - 2*oparg; + case BUILD_CONST_KEY_MAP: + return -oparg; case LOAD_ATTR: return 0; case COMPARE_OP: @@ -1234,6 +1236,15 @@ compiler_addop_j(struct compiler *c, int opcode, basicblock *b, int absolute) return 0; \ } +/* Same as ADDOP_O, but steals a reference. */ +#define ADDOP_N(C, OP, O, TYPE) { \ + if (!compiler_addop_o((C), (OP), (C)->u->u_ ## TYPE, (O))) { \ + Py_DECREF((O)); \ + return 0; \ + } \ + Py_DECREF((O)); \ +} + #define ADDOP_NAME(C, OP, O, TYPE) { \ if (!compiler_addop_name((C), (OP), (C)->u->u_ ## TYPE, (O))) \ return 0; \ @@ -1309,6 +1320,44 @@ compiler_isdocstring(stmt_ty s) return 0; } +static int +is_const(expr_ty e) +{ + switch (e->kind) { + case Constant_kind: + case Num_kind: + case Str_kind: + case Bytes_kind: + case Ellipsis_kind: + case NameConstant_kind: + return 1; + default: + return 0; + } +} + +static PyObject * +get_const_value(expr_ty e) +{ + switch (e->kind) { + case Constant_kind: + return e->v.Constant.value; + case Num_kind: + return e->v.Num.n; + case Str_kind: + return e->v.Str.s; + case Bytes_kind: + return e->v.Bytes.s; + case Ellipsis_kind: + return Py_Ellipsis; + case NameConstant_kind: + return e->v.NameConstant.value; + default: + assert(!is_const(e)); + return NULL; + } +} + /* Compile a sequence of statements, checking for a docstring. */ static int @@ -2604,19 +2653,9 @@ compiler_visit_stmt_expr(struct compiler *c, expr_ty value) return 1; } - switch (value->kind) - { - case Str_kind: - case Num_kind: - case Ellipsis_kind: - case Bytes_kind: - case NameConstant_kind: - case Constant_kind: + if (is_const(value)) { /* ignore constant statement */ return 1; - - default: - break; } VISIT(c, expr, value); @@ -3095,6 +3134,49 @@ compiler_set(struct compiler *c, expr_ty e) BUILD_SET, BUILD_SET_UNPACK); } +static int +are_all_items_const(asdl_seq *seq, Py_ssize_t begin, Py_ssize_t end) +{ + Py_ssize_t i; + for (i = begin; i < end; i++) { + expr_ty key = (expr_ty)asdl_seq_GET(seq, i); + if (key == NULL || !is_const(key)) + return 0; + } + return 1; +} + +static int +compiler_subdict(struct compiler *c, expr_ty e, Py_ssize_t begin, Py_ssize_t end) +{ + Py_ssize_t i, n = end - begin; + PyObject *keys, *key; + if (n > 1 && are_all_items_const(e->v.Dict.keys, begin, end)) { + for (i = begin; i < end; i++) { + VISIT(c, expr, (expr_ty)asdl_seq_GET(e->v.Dict.values, i)); + } + keys = PyTuple_New(n); + if (keys == NULL) { + return 0; + } + for (i = begin; i < end; i++) { + key = get_const_value((expr_ty)asdl_seq_GET(e->v.Dict.keys, i)); + Py_INCREF(key); + PyTuple_SET_ITEM(keys, i - begin, key); + } + ADDOP_N(c, LOAD_CONST, keys, consts); + ADDOP_I(c, BUILD_CONST_KEY_MAP, n); + } + else { + for (i = begin; i < end; i++) { + VISIT(c, expr, (expr_ty)asdl_seq_GET(e->v.Dict.keys, i)); + VISIT(c, expr, (expr_ty)asdl_seq_GET(e->v.Dict.values, i)); + } + ADDOP_I(c, BUILD_MAP, n); + } + return 1; +} + static int compiler_dict(struct compiler *c, expr_ty e) { @@ -3107,7 +3189,8 @@ compiler_dict(struct compiler *c, expr_ty e) for (i = 0; i < n; i++) { is_unpacking = (expr_ty)asdl_seq_GET(e->v.Dict.keys, i) == NULL; if (elements == 0xFFFF || (elements && is_unpacking)) { - ADDOP_I(c, BUILD_MAP, elements); + if (!compiler_subdict(c, e, i - elements, i)) + return 0; containers++; elements = 0; } @@ -3116,13 +3199,12 @@ compiler_dict(struct compiler *c, expr_ty e) containers++; } else { - VISIT(c, expr, (expr_ty)asdl_seq_GET(e->v.Dict.keys, i)); - VISIT(c, expr, (expr_ty)asdl_seq_GET(e->v.Dict.values, i)); elements++; } } if (elements || containers == 0) { - ADDOP_I(c, BUILD_MAP, elements); + if (!compiler_subdict(c, e, n - elements, n)) + return 0; containers++; } /* If there is more than one dict, they need to be merged into a new @@ -3266,6 +3348,42 @@ compiler_formatted_value(struct compiler *c, expr_ty e) return 1; } +static int +compiler_subkwargs(struct compiler *c, asdl_seq *keywords, Py_ssize_t begin, Py_ssize_t end) +{ + Py_ssize_t i, n = end - begin; + keyword_ty kw; + PyObject *keys, *key; + assert(n > 0); + if (n > 1) { + for (i = begin; i < end; i++) { + kw = asdl_seq_GET(keywords, i); + VISIT(c, expr, kw->value); + } + keys = PyTuple_New(n); + if (keys == NULL) { + return 0; + } + for (i = begin; i < end; i++) { + key = ((keyword_ty) asdl_seq_GET(keywords, i))->arg; + Py_INCREF(key); + PyTuple_SET_ITEM(keys, i - begin, key); + } + ADDOP_N(c, LOAD_CONST, keys, consts); + ADDOP_I(c, BUILD_CONST_KEY_MAP, n); + } + else { + /* a for loop only executes once */ + for (i = begin; i < end; i++) { + kw = asdl_seq_GET(keywords, i); + ADDOP_O(c, LOAD_CONST, kw->arg, consts); + VISIT(c, expr, kw->value); + } + ADDOP_I(c, BUILD_MAP, n); + } + return 1; +} + /* shared code between compiler_call and compiler_class */ static int compiler_call_helper(struct compiler *c, @@ -3332,29 +3450,38 @@ compiler_call_helper(struct compiler *c, if (kw->arg == NULL) { /* A keyword argument unpacking. */ if (nseen) { - ADDOP_I(c, BUILD_MAP, nseen); + if (nsubkwargs) { + if (!compiler_subkwargs(c, keywords, i - nseen, i)) + return 0; + nsubkwargs++; + } + else { + Py_ssize_t j; + for (j = 0; j < nseen; j++) { + VISIT(c, keyword, asdl_seq_GET(keywords, j)); + } + nkw = nseen; + } nseen = 0; - nsubkwargs++; } VISIT(c, expr, kw->value); nsubkwargs++; } - else if (nsubkwargs) { - /* A keyword argument and we already have a dict. */ - ADDOP_O(c, LOAD_CONST, kw->arg, consts); - VISIT(c, expr, kw->value); - nseen++; - } else { - /* keyword argument */ - VISIT(c, keyword, kw) - nkw++; + nseen++; } } if (nseen) { - /* Pack up any trailing keyword arguments. */ - ADDOP_I(c, BUILD_MAP, nseen); - nsubkwargs++; + if (nsubkwargs) { + /* Pack up any trailing keyword arguments. */ + if (!compiler_subkwargs(c, keywords, nelts - nseen, nelts)) + return 0; + nsubkwargs++; + } + else { + VISIT_SEQ(c, keyword, keywords); + nkw = nseen; + } } if (nsubkwargs) { code |= 2; diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 4ef9bdc4d5..180e404086 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -236,7 +236,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,218,13,95,119,114,105,116,101,95,97,116,111,109,105, 99,99,0,0,0,115,26,0,0,0,0,5,16,1,6,1, 26,1,2,3,14,1,20,1,16,1,14,1,2,1,14,1, - 14,1,6,1,114,55,0,0,0,105,42,13,0,0,233,2, + 14,1,6,1,114,55,0,0,0,105,43,13,0,0,233,2, 0,0,0,114,13,0,0,0,115,2,0,0,0,13,10,90, 11,95,95,112,121,99,97,99,104,101,95,95,122,4,111,112, 116,45,122,3,46,112,121,122,4,46,112,121,99,78,218,12, @@ -339,7 +339,7 @@ const unsigned char _Py_M__importlib_external[] = { 103,90,15,97,108,109,111,115,116,95,102,105,108,101,110,97, 109,101,114,4,0,0,0,114,4,0,0,0,114,5,0,0, 0,218,17,99,97,99,104,101,95,102,114,111,109,95,115,111, - 117,114,99,101,249,0,0,0,115,46,0,0,0,0,18,8, + 117,114,99,101,250,0,0,0,115,46,0,0,0,0,18,8, 1,6,1,6,1,8,1,4,1,8,1,12,1,12,1,16, 1,8,1,8,1,8,1,24,1,8,1,12,1,6,2,8, 1,8,1,8,1,8,1,14,1,14,1,114,79,0,0,0, @@ -412,7 +412,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 99,104,101,37,1,0,0,115,44,0,0,0,0,9,12,1, + 99,104,101,38,1,0,0,115,44,0,0,0,0,9,12,1, 8,1,12,1,12,1,8,1,6,1,10,1,10,1,8,1, 6,1,10,1,8,1,16,1,10,1,6,1,8,1,16,1, 8,1,6,1,8,1,14,1,114,85,0,0,0,99,1,0, @@ -447,7 +447,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 111,117,114,99,101,102,105,108,101,70,1,0,0,115,20,0, + 111,117,114,99,101,102,105,108,101,71,1,0,0,115,20,0, 0,0,0,7,12,1,4,1,16,1,26,1,4,1,2,1, 12,1,18,1,18,1,114,91,0,0,0,99,1,0,0,0, 0,0,0,0,1,0,0,0,11,0,0,0,67,0,0,0, @@ -461,7 +461,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 100,89,1,0,0,115,16,0,0,0,0,1,14,1,2,1, + 100,90,1,0,0,115,16,0,0,0,0,1,14,1,2,1, 8,1,14,1,8,1,14,1,6,2,114,95,0,0,0,99, 1,0,0,0,0,0,0,0,2,0,0,0,11,0,0,0, 67,0,0,0,115,52,0,0,0,121,14,116,0,124,0,131, @@ -475,7 +475,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 99,95,109,111,100,101,101,1,0,0,115,12,0,0,0,0, + 99,95,109,111,100,101,102,1,0,0,115,12,0,0,0,0, 2,2,1,14,1,14,1,10,3,8,1,114,97,0,0,0, 99,1,0,0,0,0,0,0,0,3,0,0,0,11,0,0, 0,3,0,0,0,115,68,0,0,0,100,1,135,0,102,1, @@ -512,7 +512,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 109,101,95,119,114,97,112,112,101,114,121,1,0,0,115,12, + 109,101,95,119,114,97,112,112,101,114,122,1,0,0,115,12, 0,0,0,0,1,8,1,8,1,10,1,4,1,20,1,122, 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, @@ -533,14 +533,14 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 119,114,97,112,132,1,0,0,115,8,0,0,0,0,1,10, + 119,114,97,112,133,1,0,0,115,8,0,0,0,0,1,10, 1,10,1,22,1,122,26,95,99,104,101,99,107,95,110,97, 109,101,46,60,108,111,99,97,108,115,62,46,95,119,114,97, 112,41,3,218,10,95,98,111,111,116,115,116,114,97,112,114, 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, - 0,218,11,95,99,104,101,99,107,95,110,97,109,101,113,1, + 0,218,11,95,99,104,101,99,107,95,110,97,109,101,114,1, 0,0,115,14,0,0,0,0,8,14,7,2,1,10,1,14, 2,14,5,10,1,114,116,0,0,0,99,2,0,0,0,0, 0,0,0,5,0,0,0,4,0,0,0,67,0,0,0,115, @@ -568,7 +568,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 105,110,100,95,109,111,100,117,108,101,95,115,104,105,109,141, + 105,110,100,95,109,111,100,117,108,101,95,115,104,105,109,142, 1,0,0,115,10,0,0,0,0,10,14,1,16,1,4,1, 22,1,114,123,0,0,0,99,4,0,0,0,0,0,0,0, 11,0,0,0,19,0,0,0,67,0,0,0,115,128,1,0, @@ -648,7 +648,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 100,101,95,104,101,97,100,101,114,158,1,0,0,115,76,0, + 100,101,95,104,101,97,100,101,114,159,1,0,0,115,76,0, 0,0,0,11,4,1,8,1,10,3,4,1,8,1,8,1, 12,1,12,1,12,1,8,1,12,1,12,1,12,1,12,1, 10,1,12,1,10,1,12,1,10,1,12,1,8,1,10,1, @@ -678,7 +678,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 100,101,213,1,0,0,115,16,0,0,0,0,2,10,1,10, + 100,101,214,1,0,0,115,16,0,0,0,0,2,10,1,10, 1,12,1,8,1,12,1,6,2,12,1,114,141,0,0,0, 114,59,0,0,0,99,3,0,0,0,0,0,0,0,4,0, 0,0,3,0,0,0,67,0,0,0,115,56,0,0,0,116, @@ -696,7 +696,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 100,101,95,116,111,95,98,121,116,101,99,111,100,101,225,1, + 100,101,95,116,111,95,98,121,116,101,99,111,100,101,226,1, 0,0,115,10,0,0,0,0,3,8,1,14,1,14,1,16, 1,114,144,0,0,0,99,1,0,0,0,0,0,0,0,5, 0,0,0,4,0,0,0,67,0,0,0,115,62,0,0,0, @@ -723,7 +723,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 218,13,100,101,99,111,100,101,95,115,111,117,114,99,101,235, + 218,13,100,101,99,111,100,101,95,115,111,117,114,99,101,236, 1,0,0,115,10,0,0,0,0,5,8,1,12,1,10,1, 12,1,114,149,0,0,0,114,120,0,0,0,218,26,115,117, 98,109,111,100,117,108,101,95,115,101,97,114,99,104,95,108, @@ -784,7 +784,7 @@ const unsigned char _Py_M__importlib_external[] = { 7,100,105,114,110,97,109,101,114,4,0,0,0,114,4,0, 0,0,114,5,0,0,0,218,23,115,112,101,99,95,102,114, 111,109,95,102,105,108,101,95,108,111,99,97,116,105,111,110, - 252,1,0,0,115,60,0,0,0,0,12,8,4,4,1,10, + 253,1,0,0,115,60,0,0,0,0,12,8,4,4,1,10, 2,2,1,14,1,14,1,6,8,18,1,6,3,8,1,16, 1,14,1,10,1,6,1,6,2,4,3,8,2,10,1,2, 1,14,1,14,1,6,2,4,1,8,2,6,1,12,1,6, @@ -820,7 +820,7 @@ const unsigned char _Py_M__importlib_external[] = { 89,95,76,79,67,65,76,95,77,65,67,72,73,78,69,41, 2,218,3,99,108,115,218,3,107,101,121,114,4,0,0,0, 114,4,0,0,0,114,5,0,0,0,218,14,95,111,112,101, - 110,95,114,101,103,105,115,116,114,121,74,2,0,0,115,8, + 110,95,114,101,103,105,115,116,114,121,75,2,0,0,115,8, 0,0,0,0,2,2,1,14,1,14,1,122,36,87,105,110, 100,111,119,115,82,101,103,105,115,116,114,121,70,105,110,100, 101,114,46,95,111,112,101,110,95,114,101,103,105,115,116,114, @@ -846,7 +846,7 @@ const unsigned char _Py_M__importlib_external[] = { 107,101,121,114,165,0,0,0,90,4,104,107,101,121,218,8, 102,105,108,101,112,97,116,104,114,4,0,0,0,114,4,0, 0,0,114,5,0,0,0,218,16,95,115,101,97,114,99,104, - 95,114,101,103,105,115,116,114,121,81,2,0,0,115,22,0, + 95,114,101,103,105,115,116,114,121,82,2,0,0,115,22,0, 0,0,0,2,6,1,8,2,6,1,10,1,22,1,2,1, 12,1,26,1,14,1,6,1,122,38,87,105,110,100,111,119, 115,82,101,103,105,115,116,114,121,70,105,110,100,101,114,46, @@ -868,7 +868,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,35,0,0,0,218,6,116,97,114,103,101,116,114,171,0, 0,0,114,120,0,0,0,114,160,0,0,0,114,158,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, - 218,9,102,105,110,100,95,115,112,101,99,96,2,0,0,115, + 218,9,102,105,110,100,95,115,112,101,99,97,2,0,0,115, 26,0,0,0,0,2,10,1,8,1,4,1,2,1,12,1, 14,1,6,1,16,1,14,1,6,1,10,1,8,1,122,31, 87,105,110,100,111,119,115,82,101,103,105,115,116,114,121,70, @@ -887,7 +887,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,218, - 11,102,105,110,100,95,109,111,100,117,108,101,112,2,0,0, + 11,102,105,110,100,95,109,111,100,117,108,101,113,2,0,0, 115,8,0,0,0,0,7,12,1,8,1,8,2,122,33,87, 105,110,100,111,119,115,82,101,103,105,115,116,114,121,70,105, 110,100,101,114,46,102,105,110,100,95,109,111,100,117,108,101, @@ -896,7 +896,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,167,0,0,0,218,11,99,108,97,115,115,109,101,116,104, 111,100,114,166,0,0,0,114,172,0,0,0,114,175,0,0, 0,114,176,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,162,0,0,0,62, + 114,4,0,0,0,114,5,0,0,0,114,162,0,0,0,63, 2,0,0,115,20,0,0,0,8,2,4,3,4,3,4,2, 4,2,12,7,12,15,2,1,14,15,2,1,114,162,0,0, 0,99,0,0,0,0,0,0,0,0,0,0,0,0,2,0, @@ -931,7 +931,7 @@ const unsigned char _Py_M__importlib_external[] = { 41,5,114,100,0,0,0,114,119,0,0,0,114,94,0,0, 0,90,13,102,105,108,101,110,97,109,101,95,98,97,115,101, 90,9,116,97,105,108,95,110,97,109,101,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,153,0,0,0,131, + 114,4,0,0,0,114,5,0,0,0,114,153,0,0,0,132, 2,0,0,115,8,0,0,0,0,3,18,1,16,1,14,1, 122,24,95,76,111,97,100,101,114,66,97,115,105,99,115,46, 105,115,95,112,97,99,107,97,103,101,99,2,0,0,0,0, @@ -942,7 +942,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 0,0,114,5,0,0,0,218,13,99,114,101,97,116,101,95, - 109,111,100,117,108,101,139,2,0,0,115,0,0,0,0,122, + 109,111,100,117,108,101,140,2,0,0,115,0,0,0,0,122, 27,95,76,111,97,100,101,114,66,97,115,105,99,115,46,99, 114,101,97,116,101,95,109,111,100,117,108,101,99,2,0,0, 0,0,0,0,0,3,0,0,0,4,0,0,0,67,0,0, @@ -962,7 +962,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,41,3,114,100,0,0,0,218,6,109,111,100,117,108, 101,114,140,0,0,0,114,4,0,0,0,114,4,0,0,0, 114,5,0,0,0,218,11,101,120,101,99,95,109,111,100,117, - 108,101,142,2,0,0,115,10,0,0,0,0,2,12,1,8, + 108,101,143,2,0,0,115,10,0,0,0,0,2,12,1,8, 1,6,1,10,1,122,25,95,76,111,97,100,101,114,66,97, 115,105,99,115,46,101,120,101,99,95,109,111,100,117,108,101, 99,2,0,0,0,0,0,0,0,2,0,0,0,3,0,0, @@ -973,14 +973,14 @@ const unsigned char _Py_M__importlib_external[] = { 97,100,95,109,111,100,117,108,101,95,115,104,105,109,41,2, 114,100,0,0,0,114,119,0,0,0,114,4,0,0,0,114, 4,0,0,0,114,5,0,0,0,218,11,108,111,97,100,95, - 109,111,100,117,108,101,150,2,0,0,115,2,0,0,0,0, + 109,111,100,117,108,101,151,2,0,0,115,2,0,0,0,0, 2,122,25,95,76,111,97,100,101,114,66,97,115,105,99,115, 46,108,111,97,100,95,109,111,100,117,108,101,78,41,8,114, 105,0,0,0,114,104,0,0,0,114,106,0,0,0,114,107, 0,0,0,114,153,0,0,0,114,180,0,0,0,114,185,0, 0,0,114,187,0,0,0,114,4,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,5,0,0,0,114,178,0,0,0, - 126,2,0,0,115,10,0,0,0,8,3,4,2,8,8,8, + 127,2,0,0,115,10,0,0,0,8,3,4,2,8,8,8, 3,8,8,114,178,0,0,0,99,0,0,0,0,0,0,0, 0,0,0,0,0,4,0,0,0,64,0,0,0,115,74,0, 0,0,101,0,90,1,100,0,90,2,100,1,100,2,132,0, @@ -1005,7 +1005,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,78,41,1,218,7,73,79,69,114,114,111,114, 41,2,114,100,0,0,0,114,35,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,5,0,0,0,218,10,112,97,116, - 104,95,109,116,105,109,101,157,2,0,0,115,2,0,0,0, + 104,95,109,116,105,109,101,158,2,0,0,115,2,0,0,0, 0,6,122,23,83,111,117,114,99,101,76,111,97,100,101,114, 46,112,97,116,104,95,109,116,105,109,101,99,2,0,0,0, 0,0,0,0,2,0,0,0,3,0,0,0,67,0,0,0, @@ -1040,7 +1040,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,114,126,0,0,0,41,1,114,190,0,0,0, 41,2,114,100,0,0,0,114,35,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,5,0,0,0,218,10,112,97,116, - 104,95,115,116,97,116,115,165,2,0,0,115,2,0,0,0, + 104,95,115,116,97,116,115,166,2,0,0,115,2,0,0,0, 0,11,122,23,83,111,117,114,99,101,76,111,97,100,101,114, 46,112,97,116,104,95,115,116,97,116,115,99,4,0,0,0, 0,0,0,0,4,0,0,0,3,0,0,0,67,0,0,0, @@ -1064,7 +1064,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,90,10,99,97,99,104,101,95,112,97,116,104,114,53,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, 0,218,15,95,99,97,99,104,101,95,98,121,116,101,99,111, - 100,101,178,2,0,0,115,2,0,0,0,0,8,122,28,83, + 100,101,179,2,0,0,115,2,0,0,0,0,8,122,28,83, 111,117,114,99,101,76,111,97,100,101,114,46,95,99,97,99, 104,101,95,98,121,116,101,99,111,100,101,99,3,0,0,0, 0,0,0,0,3,0,0,0,1,0,0,0,67,0,0,0, @@ -1080,7 +1080,7 @@ const unsigned char _Py_M__importlib_external[] = { 111,100,101,32,102,105,108,101,115,46,10,32,32,32,32,32, 32,32,32,78,114,4,0,0,0,41,3,114,100,0,0,0, 114,35,0,0,0,114,53,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,5,0,0,0,114,192,0,0,0,188,2, + 4,0,0,0,114,5,0,0,0,114,192,0,0,0,189,2, 0,0,115,0,0,0,0,122,21,83,111,117,114,99,101,76, 111,97,100,101,114,46,115,101,116,95,100,97,116,97,99,2, 0,0,0,0,0,0,0,5,0,0,0,16,0,0,0,67, @@ -1101,7 +1101,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,41,5,114,100,0,0,0,114,119,0,0,0,114, 35,0,0,0,114,147,0,0,0,218,3,101,120,99,114,4, 0,0,0,114,4,0,0,0,114,5,0,0,0,218,10,103, - 101,116,95,115,111,117,114,99,101,195,2,0,0,115,14,0, + 101,116,95,115,111,117,114,99,101,196,2,0,0,115,14,0, 0,0,0,2,10,1,2,1,14,1,16,1,6,1,28,1, 122,23,83,111,117,114,99,101,76,111,97,100,101,114,46,103, 101,116,95,115,111,117,114,99,101,218,9,95,111,112,116,105, @@ -1123,7 +1123,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,41,4,114,100,0,0,0,114,53,0,0,0,114,35,0, 0,0,114,197,0,0,0,114,4,0,0,0,114,4,0,0, 0,114,5,0,0,0,218,14,115,111,117,114,99,101,95,116, - 111,95,99,111,100,101,205,2,0,0,115,4,0,0,0,0, + 111,95,99,111,100,101,206,2,0,0,115,4,0,0,0,0, 5,14,1,122,27,83,111,117,114,99,101,76,111,97,100,101, 114,46,115,111,117,114,99,101,95,116,111,95,99,111,100,101, 99,2,0,0,0,0,0,0,0,10,0,0,0,43,0,0, @@ -1180,7 +1180,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 0,213,2,0,0,115,78,0,0,0,0,7,10,1,4,1, + 0,214,2,0,0,115,78,0,0,0,0,7,10,1,4,1, 2,1,12,1,14,1,10,2,2,1,14,1,14,1,6,2, 12,1,2,1,14,1,14,1,6,2,2,1,6,1,8,1, 12,1,18,1,6,2,8,1,6,1,10,1,4,1,8,1, @@ -1192,7 +1192,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 0,0,155,2,0,0,115,14,0,0,0,8,2,8,8,8, + 0,0,156,2,0,0,115,14,0,0,0,8,2,8,8,8, 13,8,10,8,7,8,10,14,8,114,188,0,0,0,99,0, 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0, 0,0,0,115,76,0,0,0,101,0,90,1,100,0,90,2, @@ -1218,7 +1218,7 @@ const unsigned char _Py_M__importlib_external[] = { 100,101,114,46,78,41,2,114,98,0,0,0,114,35,0,0, 0,41,3,114,100,0,0,0,114,119,0,0,0,114,35,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, - 0,114,179,0,0,0,14,3,0,0,115,4,0,0,0,0, + 0,114,179,0,0,0,15,3,0,0,115,4,0,0,0,0, 3,6,1,122,19,70,105,108,101,76,111,97,100,101,114,46, 95,95,105,110,105,116,95,95,99,2,0,0,0,0,0,0, 0,2,0,0,0,2,0,0,0,67,0,0,0,115,24,0, @@ -1227,7 +1227,7 @@ const unsigned char _Py_M__importlib_external[] = { 9,95,95,99,108,97,115,115,95,95,114,111,0,0,0,41, 2,114,100,0,0,0,218,5,111,116,104,101,114,114,4,0, 0,0,114,4,0,0,0,114,5,0,0,0,218,6,95,95, - 101,113,95,95,20,3,0,0,115,4,0,0,0,0,1,12, + 101,113,95,95,21,3,0,0,115,4,0,0,0,0,1,12, 1,122,17,70,105,108,101,76,111,97,100,101,114,46,95,95, 101,113,95,95,99,1,0,0,0,0,0,0,0,1,0,0, 0,3,0,0,0,67,0,0,0,115,20,0,0,0,116,0, @@ -1235,7 +1235,7 @@ const unsigned char _Py_M__importlib_external[] = { 83,0,41,1,78,41,3,218,4,104,97,115,104,114,98,0, 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, - 95,104,97,115,104,95,95,24,3,0,0,115,2,0,0,0, + 95,104,97,115,104,95,95,25,3,0,0,115,2,0,0,0, 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, 2,0,0,0,3,0,0,0,3,0,0,0,115,16,0,0, @@ -1249,7 +1249,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 4,0,0,0,114,5,0,0,0,114,187,0,0,0,27,3, + 4,0,0,0,114,5,0,0,0,114,187,0,0,0,28,3, 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, @@ -1260,7 +1260,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, - 0,114,151,0,0,0,39,3,0,0,115,2,0,0,0,0, + 0,114,151,0,0,0,40,3,0,0,115,2,0,0,0,0, 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, @@ -1272,7 +1272,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,114,78,41,3,114,49,0,0,0,114,50,0,0,0,90, 4,114,101,97,100,41,3,114,100,0,0,0,114,35,0,0, 0,114,54,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,5,0,0,0,114,194,0,0,0,44,3,0,0,115,4, + 114,5,0,0,0,114,194,0,0,0,45,3,0,0,115,4, 0,0,0,0,2,14,1,122,19,70,105,108,101,76,111,97, 100,101,114,46,103,101,116,95,100,97,116,97,41,11,114,105, 0,0,0,114,104,0,0,0,114,106,0,0,0,114,107,0, @@ -1280,7 +1280,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,116,0,0,0,114,187,0,0,0,114,151,0,0,0, 114,194,0,0,0,114,4,0,0,0,114,4,0,0,0,41, 1,114,205,0,0,0,114,5,0,0,0,114,204,0,0,0, - 9,3,0,0,115,14,0,0,0,8,3,4,2,8,6,8, + 10,3,0,0,115,14,0,0,0,8,3,4,2,8,6,8, 4,8,3,16,12,12,5,114,204,0,0,0,99,0,0,0, 0,0,0,0,0,0,0,0,0,4,0,0,0,64,0,0, 0,115,46,0,0,0,101,0,90,1,100,0,90,2,100,1, @@ -1292,1132 +1292,1132 @@ const unsigned char _Py_M__importlib_external[] = { 110,32,111,102,32,83,111,117,114,99,101,76,111,97,100,101, 114,32,117,115,105,110,103,32,116,104,101,32,102,105,108,101, 32,115,121,115,116,101,109,46,99,2,0,0,0,0,0,0, - 0,3,0,0,0,4,0,0,0,67,0,0,0,115,24,0, - 0,0,116,0,124,1,131,1,125,2,100,1,124,2,106,1, - 100,2,124,2,106,2,105,2,83,0,41,3,122,33,82,101, - 116,117,114,110,32,116,104,101,32,109,101,116,97,100,97,116, - 97,32,102,111,114,32,116,104,101,32,112,97,116,104,46,114, - 126,0,0,0,114,127,0,0,0,41,3,114,39,0,0,0, - 218,8,115,116,95,109,116,105,109,101,90,7,115,116,95,115, - 105,122,101,41,3,114,100,0,0,0,114,35,0,0,0,114, - 202,0,0,0,114,4,0,0,0,114,4,0,0,0,114,5, - 0,0,0,114,191,0,0,0,54,3,0,0,115,4,0,0, - 0,0,2,8,1,122,27,83,111,117,114,99,101,70,105,108, - 101,76,111,97,100,101,114,46,112,97,116,104,95,115,116,97, - 116,115,99,4,0,0,0,0,0,0,0,5,0,0,0,5, - 0,0,0,67,0,0,0,115,26,0,0,0,116,0,124,1, - 131,1,125,4,124,0,106,1,124,2,124,3,100,1,124,4, - 144,1,131,2,83,0,41,2,78,218,5,95,109,111,100,101, - 41,2,114,97,0,0,0,114,192,0,0,0,41,5,114,100, - 0,0,0,114,90,0,0,0,114,89,0,0,0,114,53,0, - 0,0,114,42,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,5,0,0,0,114,193,0,0,0,59,3,0,0,115, - 4,0,0,0,0,2,8,1,122,32,83,111,117,114,99,101, - 70,105,108,101,76,111,97,100,101,114,46,95,99,97,99,104, - 101,95,98,121,116,101,99,111,100,101,114,214,0,0,0,105, - 182,1,0,0,99,3,0,0,0,1,0,0,0,9,0,0, - 0,17,0,0,0,67,0,0,0,115,250,0,0,0,116,0, - 124,1,131,1,92,2,125,4,125,5,103,0,125,6,120,40, - 124,4,114,56,116,1,124,4,131,1,12,0,114,56,116,0, - 124,4,131,1,92,2,125,4,125,7,124,6,106,2,124,7, - 131,1,1,0,113,18,87,0,120,108,116,3,124,6,131,1, - 68,0,93,96,125,7,116,4,124,4,124,7,131,2,125,4, - 121,14,116,5,106,6,124,4,131,1,1,0,87,0,113,68, - 4,0,116,7,107,10,114,118,1,0,1,0,1,0,119,68, - 89,0,113,68,4,0,116,8,107,10,114,162,1,0,125,8, - 1,0,122,18,116,9,106,10,100,1,124,4,124,8,131,3, - 1,0,100,2,83,0,100,2,125,8,126,8,88,0,113,68, - 88,0,113,68,87,0,121,28,116,11,124,1,124,2,124,3, - 131,3,1,0,116,9,106,10,100,3,124,1,131,2,1,0, - 87,0,110,48,4,0,116,8,107,10,114,244,1,0,125,8, - 1,0,122,20,116,9,106,10,100,1,124,1,124,8,131,3, - 1,0,87,0,89,0,100,2,100,2,125,8,126,8,88,0, - 110,2,88,0,100,2,83,0,41,4,122,27,87,114,105,116, - 101,32,98,121,116,101,115,32,100,97,116,97,32,116,111,32, - 97,32,102,105,108,101,46,122,27,99,111,117,108,100,32,110, - 111,116,32,99,114,101,97,116,101,32,123,33,114,125,58,32, - 123,33,114,125,78,122,12,99,114,101,97,116,101,100,32,123, - 33,114,125,41,12,114,38,0,0,0,114,46,0,0,0,114, - 157,0,0,0,114,33,0,0,0,114,28,0,0,0,114,3, - 0,0,0,90,5,109,107,100,105,114,218,15,70,105,108,101, - 69,120,105,115,116,115,69,114,114,111,114,114,40,0,0,0, - 114,114,0,0,0,114,129,0,0,0,114,55,0,0,0,41, - 9,114,100,0,0,0,114,35,0,0,0,114,53,0,0,0, - 114,214,0,0,0,218,6,112,97,114,101,110,116,114,94,0, - 0,0,114,27,0,0,0,114,23,0,0,0,114,195,0,0, + 0,3,0,0,0,3,0,0,0,67,0,0,0,115,22,0, + 0,0,116,0,124,1,131,1,125,2,124,2,106,1,124,2, + 106,2,100,1,156,2,83,0,41,2,122,33,82,101,116,117, + 114,110,32,116,104,101,32,109,101,116,97,100,97,116,97,32, + 102,111,114,32,116,104,101,32,112,97,116,104,46,41,2,122, + 5,109,116,105,109,101,122,4,115,105,122,101,41,3,114,39, + 0,0,0,218,8,115,116,95,109,116,105,109,101,90,7,115, + 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32,119,105,116,104,32,70,105,108,101,70,105,110,100,101,114, - 46,10,10,32,32,32,32,99,3,0,0,0,0,0,0,0, - 3,0,0,0,2,0,0,0,67,0,0,0,115,16,0,0, - 0,124,1,124,0,95,0,124,2,124,0,95,1,100,0,83, - 0,41,1,78,41,2,114,98,0,0,0,114,35,0,0,0, - 41,3,114,100,0,0,0,114,98,0,0,0,114,35,0,0, - 0,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, - 114,179,0,0,0,122,3,0,0,115,4,0,0,0,0,1, - 6,1,122,28,69,120,116,101,110,115,105,111,110,70,105,108, - 101,76,111,97,100,101,114,46,95,95,105,110,105,116,95,95, - 99,2,0,0,0,0,0,0,0,2,0,0,0,2,0,0, - 0,67,0,0,0,115,24,0,0,0,124,0,106,0,124,1, - 106,0,107,2,111,22,124,0,106,1,124,1,106,1,107,2, - 83,0,41,1,78,41,2,114,205,0,0,0,114,111,0,0, - 0,41,2,114,100,0,0,0,114,206,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,5,0,0,0,114,207,0,0, - 0,126,3,0,0,115,4,0,0,0,0,1,12,1,122,26, - 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, - 20,0,0,0,116,0,124,0,106,1,131,1,116,0,124,0, - 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0,0,0,0,2,0,0,0,4,0,0,0,67,0,0,0, - 115,36,0,0,0,116,0,106,1,116,2,106,3,124,1,131, - 2,1,0,116,0,106,4,100,1,124,0,106,5,124,0,106, - 6,131,3,1,0,100,2,83,0,41,3,122,30,73,110,105, - 116,105,97,108,105,122,101,32,97,110,32,101,120,116,101,110, - 115,105,111,110,32,109,111,100,117,108,101,122,40,101,120,116, - 101,110,115,105,111,110,32,109,111,100,117,108,101,32,123,33, - 114,125,32,101,120,101,99,117,116,101,100,32,102,114,111,109, - 32,123,33,114,125,78,41,7,114,114,0,0,0,114,182,0, - 0,0,114,139,0,0,0,90,12,101,120,101,99,95,100,121, - 110,97,109,105,99,114,129,0,0,0,114,98,0,0,0,114, - 35,0,0,0,41,2,114,100,0,0,0,114,184,0,0,0, + 114,181,0,0,0,100,3,0,0,115,8,0,0,0,0,1, + 10,1,10,1,18,1,122,29,83,111,117,114,99,101,108,101, + 115,115,70,105,108,101,76,111,97,100,101,114,46,103,101,116, + 95,99,111,100,101,99,2,0,0,0,0,0,0,0,2,0, + 0,0,1,0,0,0,67,0,0,0,115,4,0,0,0,100, + 1,83,0,41,2,122,39,82,101,116,117,114,110,32,78,111, + 110,101,32,97,115,32,116,104,101,114,101,32,105,115,32,110, + 111,32,115,111,117,114,99,101,32,99,111,100,101,46,78,114, + 4,0,0,0,41,2,114,100,0,0,0,114,119,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,114, - 185,0,0,0,141,3,0,0,115,6,0,0,0,0,2,14, - 1,6,1,122,31,69,120,116,101,110,115,105,111,110,70,105, - 108,101,76,111,97,100,101,114,46,101,120,101,99,95,109,111, - 100,117,108,101,99,2,0,0,0,0,0,0,0,2,0,0, - 0,4,0,0,0,3,0,0,0,115,36,0,0,0,116,0, - 124,0,106,1,131,1,100,1,25,0,137,0,116,2,135,0, - 102,1,100,2,100,3,134,0,116,3,68,0,131,1,131,1, - 83,0,41,4,122,49,82,101,116,117,114,110,32,84,114,117, - 101,32,105,102,32,116,104,101,32,101,120,116,101,110,115,105, - 111,110,32,109,111,100,117,108,101,32,105,115,32,97,32,112, - 97,99,107,97,103,101,46,114,29,0,0,0,99,1,0,0, - 0,0,0,0,0,2,0,0,0,4,0,0,0,51,0,0, - 0,115,26,0,0,0,124,0,93,18,125,1,136,0,100,0, - 124,1,23,0,107,2,86,0,1,0,113,2,100,1,83,0, - 41,2,114,179,0,0,0,78,114,4,0,0,0,41,2,114, - 22,0,0,0,218,6,115,117,102,102,105,120,41,1,218,9, - 102,105,108,101,95,110,97,109,101,114,4,0,0,0,114,5, - 0,0,0,250,9,60,103,101,110,101,120,112,114,62,150,3, - 0,0,115,2,0,0,0,4,1,122,49,69,120,116,101,110, - 115,105,111,110,70,105,108,101,76,111,97,100,101,114,46,105, - 115,95,112,97,99,107,97,103,101,46,60,108,111,99,97,108, - 115,62,46,60,103,101,110,101,120,112,114,62,41,4,114,38, - 0,0,0,114,35,0,0,0,218,3,97,110,121,218,18,69, - 88,84,69,78,83,73,79,78,95,83,85,70,70,73,88,69, - 83,41,2,114,100,0,0,0,114,119,0,0,0,114,4,0, - 0,0,41,1,114,220,0,0,0,114,5,0,0,0,114,153, - 0,0,0,147,3,0,0,115,6,0,0,0,0,2,14,1, - 12,1,122,30,69,120,116,101,110,115,105,111,110,70,105,108, - 101,76,111,97,100,101,114,46,105,115,95,112,97,99,107,97, - 103,101,99,2,0,0,0,0,0,0,0,2,0,0,0,1, - 0,0,0,67,0,0,0,115,4,0,0,0,100,1,83,0, - 41,2,122,63,82,101,116,117,114,110,32,78,111,110,101,32, - 97,115,32,97,110,32,101,120,116,101,110,115,105,111,110,32, - 109,111,100,117,108,101,32,99,97,110,110,111,116,32,99,114, - 101,97,116,101,32,97,32,99,111,100,101,32,111,98,106,101, - 99,116,46,78,114,4,0,0,0,41,2,114,100,0,0,0, - 114,119,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 5,0,0,0,114,181,0,0,0,153,3,0,0,115,2,0, - 0,0,0,2,122,28,69,120,116,101,110,115,105,111,110,70, - 105,108,101,76,111,97,100,101,114,46,103,101,116,95,99,111, - 100,101,99,2,0,0,0,0,0,0,0,2,0,0,0,1, - 0,0,0,67,0,0,0,115,4,0,0,0,100,1,83,0, - 41,2,122,53,82,101,116,117,114,110,32,78,111,110,101,32, - 97,115,32,101,120,116,101,110,115,105,111,110,32,109,111,100, - 117,108,101,115,32,104,97,118,101,32,110,111,32,115,111,117, - 114,99,101,32,99,111,100,101,46,78,114,4,0,0,0,41, - 2,114,100,0,0,0,114,119,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,196,0,0,0,157, - 3,0,0,115,2,0,0,0,0,2,122,30,69,120,116,101, - 110,115,105,111,110,70,105,108,101,76,111,97,100,101,114,46, - 103,101,116,95,115,111,117,114,99,101,99,2,0,0,0,0, - 0,0,0,2,0,0,0,1,0,0,0,67,0,0,0,115, - 6,0,0,0,124,0,106,0,83,0,41,1,122,58,82,101, - 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, - 2,114,100,0,0,0,114,119,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,151,0,0,0,161, - 3,0,0,115,2,0,0,0,0,3,122,32,69,120,116,101, - 110,115,105,111,110,70,105,108,101,76,111,97,100,101,114,46, - 103,101,116,95,102,105,108,101,110,97,109,101,78,41,14,114, - 105,0,0,0,114,104,0,0,0,114,106,0,0,0,114,107, - 0,0,0,114,179,0,0,0,114,207,0,0,0,114,209,0, - 0,0,114,180,0,0,0,114,185,0,0,0,114,153,0,0, - 0,114,181,0,0,0,114,196,0,0,0,114,116,0,0,0, - 114,151,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,5,0,0,0,114,218,0,0,0,114,3, - 0,0,115,20,0,0,0,8,6,4,2,8,4,8,4,8, - 3,8,8,8,6,8,6,8,4,8,4,114,218,0,0,0, - 99,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0, - 0,64,0,0,0,115,96,0,0,0,101,0,90,1,100,0, - 90,2,100,1,90,3,100,2,100,3,132,0,90,4,100,4, - 100,5,132,0,90,5,100,6,100,7,132,0,90,6,100,8, - 100,9,132,0,90,7,100,10,100,11,132,0,90,8,100,12, - 100,13,132,0,90,9,100,14,100,15,132,0,90,10,100,16, - 100,17,132,0,90,11,100,18,100,19,132,0,90,12,100,20, - 100,21,132,0,90,13,100,22,83,0,41,23,218,14,95,78, - 97,109,101,115,112,97,99,101,80,97,116,104,97,38,1,0, - 0,82,101,112,114,101,115,101,110,116,115,32,97,32,110,97, - 109,101,115,112,97,99,101,32,112,97,99,107,97,103,101,39, - 115,32,112,97,116,104,46,32,32,73,116,32,117,115,101,115, - 32,116,104,101,32,109,111,100,117,108,101,32,110,97,109,101, - 10,32,32,32,32,116,111,32,102,105,110,100,32,105,116,115, - 32,112,97,114,101,110,116,32,109,111,100,117,108,101,44,32, - 97,110,100,32,102,114,111,109,32,116,104,101,114,101,32,105, - 116,32,108,111,111,107,115,32,117,112,32,116,104,101,32,112, - 97,114,101,110,116,39,115,10,32,32,32,32,95,95,112,97, - 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, - 4,0,0,0,2,0,0,0,67,0,0,0,115,36,0,0, - 0,124,1,124,0,95,0,124,2,124,0,95,1,116,2,124, - 0,106,3,131,0,131,1,124,0,95,4,124,3,124,0,95, - 5,100,0,83,0,41,1,78,41,6,218,5,95,110,97,109, - 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, - 0,0,174,3,0,0,115,8,0,0,0,0,1,6,1,6, - 1,14,1,122,23,95,78,97,109,101,115,112,97,99,101,80, - 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, - 0,115,38,0,0,0,124,0,106,0,106,1,100,1,131,1, - 92,3,125,1,125,2,125,3,124,2,100,2,107,2,114,30, - 100,6,83,0,124,1,100,5,102,2,83,0,41,7,122,62, - 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, - 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2,114,72,124,6,106,5,124,1,124,3,131,2,125,7,110, + 12,124,0,106,6,124,1,124,6,131,2,125,7,124,7,100, + 1,107,8,114,94,113,10,124,7,106,7,100,1,107,9,114, + 108,124,7,83,0,124,7,106,8,125,8,124,8,100,1,107, + 8,114,130,116,9,100,3,131,1,130,1,124,4,106,10,124, + 8,131,1,1,0,113,10,87,0,116,11,106,12,124,1,100, + 1,131,2,125,7,124,4,124,7,95,8,124,7,83,0,100, + 1,83,0,41,4,122,63,70,105,110,100,32,116,104,101,32, + 108,111,97,100,101,114,32,111,114,32,110,97,109,101,115,112, + 97,99,101,95,112,97,116,104,32,102,111,114,32,116,104,105, + 115,32,109,111,100,117,108,101,47,112,97,99,107,97,103,101, + 32,110,97,109,101,46,78,114,175,0,0,0,122,19,115,112, + 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, + 121,116,101,115,114,253,0,0,0,114,108,0,0,0,114,175, + 0,0,0,114,254,0,0,0,114,120,0,0,0,114,150,0, + 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, + 116,114,121,114,249,0,0,0,114,158,0,0,0,114,121,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, - 0,114,243,0,0,0,227,3,0,0,115,16,0,0,0,8, - 1,8,3,12,9,8,3,8,3,8,3,8,3,8,3,114, - 243,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, - 0,5,0,0,0,64,0,0,0,115,108,0,0,0,101,0, - 90,1,100,0,90,2,100,1,90,3,101,4,100,2,100,3, - 132,0,131,1,90,5,101,4,100,4,100,5,132,0,131,1, - 90,6,101,4,100,6,100,7,132,0,131,1,90,7,101,4, - 100,8,100,9,132,0,131,1,90,8,101,4,100,10,100,11, - 100,12,132,1,131,1,90,9,101,4,100,10,100,10,100,13, - 100,14,132,2,131,1,90,10,101,4,100,10,100,15,100,16, - 132,1,131,1,90,11,100,10,83,0,41,17,218,10,80,97, - 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, - 0,2,0,0,0,4,0,0,0,67,0,0,0,115,42,0, - 0,0,120,36,116,0,106,1,106,2,131,0,68,0,93,22, - 125,1,116,3,124,1,100,1,131,2,114,12,124,1,106,4, - 131,0,1,0,113,12,87,0,100,2,83,0,41,3,122,125, - 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, - 97,108,117,101,115,114,108,0,0,0,114,246,0,0,0,41, - 2,114,164,0,0,0,218,6,102,105,110,100,101,114,114,4, - 0,0,0,114,4,0,0,0,114,5,0,0,0,114,246,0, - 0,0,17,4,0,0,115,6,0,0,0,0,4,16,1,10, - 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, - 67,0,0,0,115,86,0,0,0,116,0,106,1,100,1,107, - 9,114,30,116,0,106,1,12,0,114,30,116,2,106,3,100, - 2,116,4,131,2,1,0,120,50,116,0,106,1,68,0,93, - 36,125,2,121,8,124,2,124,1,131,1,83,0,4,0,116, - 5,107,10,114,72,1,0,1,0,1,0,119,38,89,0,113, - 38,88,0,113,38,87,0,100,1,83,0,100,1,83,0,41, - 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, - 111,107,115,25,4,0,0,115,16,0,0,0,0,7,18,1, - 12,1,12,1,2,1,8,1,14,1,12,2,122,22,80,97, - 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, - 0,19,0,0,0,67,0,0,0,115,102,0,0,0,124,1, - 100,1,107,2,114,42,121,12,116,0,106,1,131,0,125,1, - 87,0,110,20,4,0,116,2,107,10,114,40,1,0,1,0, - 1,0,100,2,83,0,88,0,121,14,116,3,106,4,124,1, - 25,0,125,2,87,0,110,40,4,0,116,5,107,10,114,96, - 1,0,1,0,1,0,124,0,106,6,124,1,131,1,125,2, - 124,2,116,3,106,4,124,1,60,0,89,0,110,2,88,0, - 124,2,83,0,41,3,122,210,71,101,116,32,116,104,101,32, - 102,105,110,100,101,114,32,102,111,114,32,116,104,101,32,112, - 97,116,104,32,101,110,116,114,121,32,102,114,111,109,32,115, + 0,218,9,95,103,101,116,95,115,112,101,99,80,4,0,0, + 115,40,0,0,0,0,5,4,1,10,1,14,1,2,1,10, + 1,8,1,10,1,14,2,12,1,8,1,2,1,10,1,4, + 1,6,1,8,1,8,5,14,2,12,1,6,1,122,20,80, + 97,116,104,70,105,110,100,101,114,46,95,103,101,116,95,115, + 112,101,99,99,4,0,0,0,0,0,0,0,6,0,0,0, + 4,0,0,0,67,0,0,0,115,104,0,0,0,124,2,100, + 1,107,8,114,14,116,0,106,1,125,2,124,0,106,2,124, + 1,124,2,124,3,131,3,125,4,124,4,100,1,107,8,114, + 42,100,1,83,0,110,58,124,4,106,3,100,1,107,8,114, + 96,124,4,106,4,125,5,124,5,114,90,100,2,124,4,95, + 5,116,6,124,1,124,5,124,0,106,2,131,3,124,4,95, + 4,124,4,83,0,113,100,100,1,83,0,110,4,124,4,83, + 0,100,1,83,0,41,3,122,98,102,105,110,100,32,116,104, + 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, + 0,0,0,114,1,1,0,0,114,120,0,0,0,114,150,0, + 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, + 0,0,114,158,0,0,0,114,0,1,0,0,114,4,0,0, + 0,114,4,0,0,0,114,5,0,0,0,114,175,0,0,0, + 112,4,0,0,115,26,0,0,0,0,4,8,1,6,1,14, + 1,8,1,6,1,10,1,6,1,4,3,6,1,16,1,6, + 2,6,2,122,20,80,97,116,104,70,105,110,100,101,114,46, + 102,105,110,100,95,115,112,101,99,99,3,0,0,0,0,0, + 0,0,4,0,0,0,3,0,0,0,67,0,0,0,115,30, + 0,0,0,124,0,106,0,124,1,124,2,131,2,125,3,124, + 3,100,1,107,8,114,24,100,1,83,0,124,3,106,1,83, + 0,41,2,122,170,102,105,110,100,32,116,104,101,32,109,111, + 100,117,108,101,32,111,110,32,115,121,115,46,112,97,116,104, + 32,111,114,32,39,112,97,116,104,39,32,98,97,115,101,100, + 32,111,110,32,115,121,115,46,112,97,116,104,95,104,111,111, + 107,115,32,97,110,100,10,32,32,32,32,32,32,32,32,115, 121,115,46,112,97,116,104,95,105,109,112,111,114,116,101,114, 95,99,97,99,104,101,46,10,10,32,32,32,32,32,32,32, - 32,73,102,32,116,104,101,32,112,97,116,104,32,101,110,116, - 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, - 7,0,0,0,114,247,0,0,0,114,131,0,0,0,114,251, - 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32,32,32,32,32,32,109,97,116,99,104,105,110,103,32,115, - 112,101,99,44,32,111,114,32,78,111,110,101,32,105,102,32, - 110,111,116,32,102,111,117,110,100,46,70,114,58,0,0,0, - 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, - 0,114,213,0,0,0,114,40,0,0,0,114,4,1,0,0, - 218,11,95,102,105,108,108,95,99,97,99,104,101,114,6,0, - 0,0,114,7,1,0,0,114,88,0,0,0,114,6,1,0, - 0,114,28,0,0,0,114,3,1,0,0,114,44,0,0,0, - 114,1,1,0,0,114,46,0,0,0,114,114,0,0,0,114, - 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, - 0,0,114,5,0,0,0,114,175,0,0,0,193,4,0,0, - 115,70,0,0,0,0,3,4,1,14,1,2,1,24,1,14, - 1,10,1,10,1,8,1,6,2,6,1,6,1,10,2,6, - 1,4,2,8,1,12,1,16,1,8,1,10,1,8,1,24, - 4,8,2,16,1,16,1,18,1,12,1,8,1,10,1,12, - 1,6,1,12,1,12,1,8,1,4,1,122,20,70,105,108, - 101,70,105,110,100,101,114,46,102,105,110,100,95,115,112,101, - 99,99,1,0,0,0,0,0,0,0,9,0,0,0,13,0, - 0,0,67,0,0,0,115,194,0,0,0,124,0,106,0,125, - 1,121,22,116,1,106,2,124,1,112,22,116,1,106,3,131, - 0,131,1,125,2,87,0,110,30,4,0,116,4,116,5,116, - 6,102,3,107,10,114,58,1,0,1,0,1,0,103,0,125, - 2,89,0,110,2,88,0,116,7,106,8,106,9,100,1,131, - 1,115,84,116,10,124,2,131,1,124,0,95,11,110,78,116, - 10,131,0,125,3,120,64,124,2,68,0,93,56,125,4,124, - 4,106,12,100,2,131,1,92,3,125,5,125,6,125,7,124, - 6,114,138,100,3,106,13,124,5,124,7,106,14,131,0,131, - 2,125,8,110,4,124,5,125,8,124,3,106,15,124,8,131, - 1,1,0,113,96,87,0,124,3,124,0,95,11,116,7,106, - 8,106,9,116,16,131,1,114,190,100,4,100,5,132,0,124, - 2,68,0,131,1,124,0,95,17,100,6,83,0,41,7,122, - 68,70,105,108,108,32,116,104,101,32,99,97,99,104,101,32, - 111,102,32,112,111,116,101,110,116,105,97,108,32,109,111,100, - 117,108,101,115,32,97,110,100,32,112,97,99,107,97,103,101, - 115,32,102,111,114,32,116,104,105,115,32,100,105,114,101,99, - 116,111,114,121,46,114,0,0,0,0,114,58,0,0,0,122, - 5,123,125,46,123,125,99,1,0,0,0,0,0,0,0,2, - 0,0,0,3,0,0,0,83,0,0,0,115,20,0,0,0, - 104,0,124,0,93,12,125,1,124,1,106,0,131,0,146,2, - 113,4,83,0,114,4,0,0,0,41,1,114,88,0,0,0, - 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, - 99,111,109,112,62,12,5,0,0,115,2,0,0,0,6,0, - 122,41,70,105,108,101,70,105,110,100,101,114,46,95,102,105, - 108,108,95,99,97,99,104,101,46,60,108,111,99,97,108,115, - 62,46,60,115,101,116,99,111,109,112,62,78,41,18,114,35, - 0,0,0,114,3,0,0,0,90,7,108,105,115,116,100,105, - 114,114,45,0,0,0,114,252,0,0,0,218,15,80,101,114, - 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, - 5,1,0,0,114,6,1,0,0,114,83,0,0,0,114,47, - 0,0,0,114,88,0,0,0,218,3,97,100,100,114,10,0, - 0,0,114,7,1,0,0,41,9,114,100,0,0,0,114,35, - 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, - 101,110,116,115,114,241,0,0,0,114,98,0,0,0,114,231, - 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, - 0,114,9,1,0,0,239,4,0,0,115,34,0,0,0,0, - 2,6,1,2,1,22,1,20,3,10,3,12,1,12,7,6, - 1,10,1,16,1,4,1,18,2,4,1,14,1,6,1,12, - 1,122,22,70,105,108,101,70,105,110,100,101,114,46,95,102, - 105,108,108,95,99,97,99,104,101,99,1,0,0,0,0,0, - 0,0,3,0,0,0,3,0,0,0,7,0,0,0,115,18, - 0,0,0,135,0,135,1,102,2,100,1,100,2,134,0,125, - 2,124,2,83,0,41,3,97,20,1,0,0,65,32,99,108, - 97,115,115,32,109,101,116,104,111,100,32,119,104,105,99,104, - 32,114,101,116,117,114,110,115,32,97,32,99,108,111,115,117, - 114,101,32,116,111,32,117,115,101,32,111,110,32,115,121,115, - 46,112,97,116,104,95,104,111,111,107,10,32,32,32,32,32, - 32,32,32,119,104,105,99,104,32,119,105,108,108,32,114,101, - 116,117,114,110,32,97,110,32,105,110,115,116,97,110,99,101, - 32,117,115,105,110,103,32,116,104,101,32,115,112,101,99,105, - 102,105,101,100,32,108,111,97,100,101,114,115,32,97,110,100, - 32,116,104,101,32,112,97,116,104,10,32,32,32,32,32,32, - 32,32,99,97,108,108,101,100,32,111,110,32,116,104,101,32, - 99,108,111,115,117,114,101,46,10,10,32,32,32,32,32,32, - 32,32,73,102,32,116,104,101,32,112,97,116,104,32,99,97, - 108,108,101,100,32,111,110,32,116,104,101,32,99,108,111,115, - 117,114,101,32,105,115,32,110,111,116,32,97,32,100,105,114, - 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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, - 3,114,164,0,0,0,114,8,1,0,0,114,14,1,0,0, - 114,4,0,0,0,41,2,114,164,0,0,0,114,8,1,0, - 0,114,5,0,0,0,218,9,112,97,116,104,95,104,111,111, - 107,14,5,0,0,115,4,0,0,0,0,10,14,6,122,20, - 70,105,108,101,70,105,110,100,101,114,46,112,97,116,104,95, - 104,111,111,107,99,1,0,0,0,0,0,0,0,1,0,0, - 0,2,0,0,0,67,0,0,0,115,12,0,0,0,100,1, - 106,0,124,0,106,1,131,1,83,0,41,2,78,122,16,70, - 105,108,101,70,105,110,100,101,114,40,123,33,114,125,41,41, - 2,114,47,0,0,0,114,35,0,0,0,41,1,114,100,0, + 0,114,176,0,0,0,134,4,0,0,115,8,0,0,0,0, + 8,12,1,8,1,4,1,122,22,80,97,116,104,70,105,110, + 100,101,114,46,102,105,110,100,95,109,111,100,117,108,101,41, + 12,114,105,0,0,0,114,104,0,0,0,114,106,0,0,0, + 114,107,0,0,0,114,177,0,0,0,114,246,0,0,0,114, + 251,0,0,0,114,253,0,0,0,114,254,0,0,0,114,1, + 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124,2,124,0,100,4,60,0,124,3,124,0,100,5,60,0, - 87,0,110,20,4,0,116,5,107,10,114,142,1,0,1,0, - 1,0,89,0,110,2,88,0,100,0,83,0,41,6,78,218, - 10,95,95,108,111,97,100,101,114,95,95,218,8,95,95,115, - 112,101,99,95,95,114,120,0,0,0,90,8,95,95,102,105, - 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, - 14,95,102,105,120,95,117,112,95,109,111,100,117,108,101,38, - 5,0,0,115,34,0,0,0,0,2,10,1,10,1,4,1, - 4,1,8,1,8,1,12,2,10,1,4,1,16,1,2,1, - 8,1,8,1,8,1,12,1,14,2,114,20,1,0,0,99, - 0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0, - 67,0,0,0,115,38,0,0,0,116,0,116,1,106,2,131, - 0,102,2,125,0,116,3,116,4,102,2,125,1,116,5,116, - 6,102,2,125,2,124,0,124,1,124,2,103,3,83,0,41, - 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2,102,2,102,2,125,4,120,118,124,4,68,0,93,102,92, + 2,125,5,125,6,116,7,100,9,100,10,132,0,124,6,68, + 0,131,1,131,1,115,142,116,8,130,1,124,6,100,11,25, + 0,125,7,124,5,116,1,106,3,107,6,114,174,116,1,106, + 3,124,5,25,0,125,8,80,0,113,112,121,16,116,0,106, + 5,124,5,131,1,125,8,80,0,87,0,113,112,4,0,116, + 9,107,10,114,212,1,0,1,0,1,0,119,112,89,0,113, + 112,88,0,113,112,87,0,116,9,100,12,131,1,130,1,116, + 6,124,1,100,13,124,8,131,3,1,0,116,6,124,1,100, + 14,124,7,131,3,1,0,116,6,124,1,100,15,100,16,106, + 10,124,6,131,1,131,3,1,0,121,14,116,0,106,5,100, + 17,131,1,125,9,87,0,110,26,4,0,116,9,107,10,144, + 1,114,52,1,0,1,0,1,0,100,18,125,9,89,0,110, + 2,88,0,116,6,124,1,100,17,124,9,131,3,1,0,116, + 0,106,5,100,19,131,1,125,10,116,6,124,1,100,19,124, + 10,131,3,1,0,124,5,100,7,107,2,144,1,114,120,116, + 0,106,5,100,20,131,1,125,11,116,6,124,1,100,21,124, + 11,131,3,1,0,116,6,124,1,100,22,116,11,131,0,131, + 3,1,0,116,12,106,13,116,2,106,14,131,0,131,1,1, + 0,124,5,100,7,107,2,144,1,114,184,116,15,106,16,100, + 23,131,1,1,0,100,24,116,12,107,6,144,1,114,184,100, + 25,116,17,95,18,100,18,83,0,41,27,122,205,83,101,116, + 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, + 0,3,0,0,0,115,0,0,0,115,26,0,0,0,124,0, + 93,18,125,1,116,0,124,1,131,1,100,0,107,2,86,0, + 1,0,113,2,100,1,83,0,41,2,114,29,0,0,0,78, + 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, + 0,0,114,221,0,0,0,98,5,0,0,115,2,0,0,0, + 4,0,122,25,95,115,101,116,117,112,46,60,108,111,99,97, + 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, + 0,0,114,21,1,0,0,114,84,0,0,0,114,157,0,0, + 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, + 114,5,0,0,0,218,6,95,115,101,116,117,112,73,5,0, + 0,115,82,0,0,0,0,8,4,1,6,1,6,3,10,1, + 10,1,10,1,12,2,10,1,16,3,22,1,14,2,22,1, + 8,1,10,1,10,1,4,2,2,1,10,1,6,1,14,1, + 12,2,8,1,12,1,12,1,18,3,2,1,14,1,16,2, + 10,1,12,3,10,1,12,3,10,1,10,1,12,3,14,1, + 14,1,10,1,10,1,10,1,114,29,1,0,0,99,1,0, + 0,0,0,0,0,0,2,0,0,0,3,0,0,0,67,0, + 0,0,115,84,0,0,0,116,0,124,0,131,1,1,0,116, + 1,131,0,125,1,116,2,106,3,106,4,116,5,106,6,124, + 1,140,0,103,1,131,1,1,0,116,7,106,8,100,1,107, + 2,114,56,116,2,106,9,106,10,116,11,131,1,1,0,116, + 2,106,9,106,10,116,12,131,1,1,0,116,5,124,0,95, + 5,116,13,124,0,95,13,100,2,83,0,41,3,122,41,73, + 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, + 112,111,110,101,110,116,115,46,114,24,1,0,0,78,41,14, + 114,29,1,0,0,114,155,0,0,0,114,7,0,0,0,114, + 250,0,0,0,114,143,0,0,0,114,2,1,0,0,114,15, + 1,0,0,114,3,0,0,0,114,105,0,0,0,218,9,109, + 101,116,97,95,112,97,116,104,114,157,0,0,0,114,162,0, + 0,0,114,245,0,0,0,114,212,0,0,0,41,2,114,28, + 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, + 114,5,0,0,0,218,8,95,105,110,115,116,97,108,108,141, + 5,0,0,115,16,0,0,0,0,2,8,1,6,1,20,1, + 10,1,12,1,12,4,6,1,114,31,1,0,0,41,3,122, + 3,119,105,110,114,1,0,0,0,114,2,0,0,0,41,56, + 114,107,0,0,0,114,10,0,0,0,114,11,0,0,0,114, + 17,0,0,0,114,19,0,0,0,114,28,0,0,0,114,38, + 0,0,0,114,39,0,0,0,114,43,0,0,0,114,44,0, + 0,0,114,46,0,0,0,114,55,0,0,0,218,4,116,121, + 112,101,218,8,95,95,99,111,100,101,95,95,114,138,0,0, + 0,114,15,0,0,0,114,128,0,0,0,114,14,0,0,0, + 114,18,0,0,0,90,17,95,82,65,87,95,77,65,71,73, + 67,95,78,85,77,66,69,82,114,73,0,0,0,114,72,0, + 0,0,114,84,0,0,0,114,74,0,0,0,90,23,68,69, + 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, - 69,83,90,27,79,80,84,73,77,73,90,69,68,95,66,89, - 84,69,67,79,68,69,95,83,85,70,70,73,88,69,83,114, - 79,0,0,0,114,85,0,0,0,114,91,0,0,0,114,95, - 0,0,0,114,97,0,0,0,114,116,0,0,0,114,123,0, - 0,0,114,135,0,0,0,114,141,0,0,0,114,144,0,0, - 0,114,149,0,0,0,218,6,111,98,106,101,99,116,114,156, - 0,0,0,114,161,0,0,0,114,162,0,0,0,114,178,0, - 0,0,114,188,0,0,0,114,204,0,0,0,114,212,0,0, - 0,114,217,0,0,0,114,223,0,0,0,114,218,0,0,0, - 114,224,0,0,0,114,243,0,0,0,114,245,0,0,0,114, - 2,1,0,0,114,20,1,0,0,114,155,0,0,0,114,29, - 1,0,0,114,31,1,0,0,114,4,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,5,0,0,0,218,8,60,109, - 111,100,117,108,101,62,8,0,0,0,115,102,0,0,0,4, - 17,4,3,8,12,8,5,8,5,8,6,8,12,8,10,8, - 9,8,5,8,7,10,22,10,116,16,1,12,2,4,1,4, - 2,6,2,6,2,8,2,16,44,8,33,8,19,8,12,8, - 12,8,28,8,17,14,55,14,12,12,10,8,14,6,3,8, - 1,12,65,14,64,14,29,16,110,14,41,18,45,18,16,4, - 3,18,53,14,60,14,42,14,127,0,7,14,127,0,20,10, - 23,8,11,8,68, + 69,83,114,79,0,0,0,114,85,0,0,0,114,91,0,0, + 0,114,95,0,0,0,114,97,0,0,0,114,116,0,0,0, + 114,123,0,0,0,114,135,0,0,0,114,141,0,0,0,114, + 144,0,0,0,114,149,0,0,0,218,6,111,98,106,101,99, + 116,114,156,0,0,0,114,161,0,0,0,114,162,0,0,0, + 114,178,0,0,0,114,188,0,0,0,114,204,0,0,0,114, + 212,0,0,0,114,217,0,0,0,114,223,0,0,0,114,218, + 0,0,0,114,224,0,0,0,114,243,0,0,0,114,245,0, + 0,0,114,2,1,0,0,114,20,1,0,0,114,155,0,0, + 0,114,29,1,0,0,114,31,1,0,0,114,4,0,0,0, + 114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,218, + 8,60,109,111,100,117,108,101,62,8,0,0,0,115,102,0, + 0,0,4,17,4,3,8,12,8,5,8,5,8,6,8,12, + 8,10,8,9,8,5,8,7,10,22,10,117,16,1,12,2, + 4,1,4,2,6,2,6,2,8,2,16,44,8,33,8,19, + 8,12,8,12,8,28,8,17,14,55,14,12,12,10,8,14, + 6,3,8,1,12,65,14,64,14,29,16,110,14,41,18,45, + 18,16,4,3,18,53,14,60,14,42,14,127,0,7,14,127, + 0,20,10,23,8,11,8,68, }; diff --git a/Python/opcode_targets.h b/Python/opcode_targets.h index 387225641c..0fec93470f 100644 --- a/Python/opcode_targets.h +++ b/Python/opcode_targets.h @@ -155,7 +155,7 @@ static void *opcode_targets[256] = { &&TARGET_BUILD_SET_UNPACK, &&TARGET_SETUP_ASYNC_WITH, &&TARGET_FORMAT_VALUE, - &&_unknown_opcode, + &&TARGET_BUILD_CONST_KEY_MAP, &&_unknown_opcode, &&_unknown_opcode, &&_unknown_opcode, -- cgit v1.2.1 From e5585ad97cb7527c73b3b758df87c8b982ceb8de Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Sun, 12 Jun 2016 17:02:10 +0300 Subject: Comment fixes extracted from patch by Demur Rumed. --- Python/importlib_external.h | 206 ++++++++++++++++++++++---------------------- 1 file changed, 103 insertions(+), 103 deletions(-) (limited to 'Python') diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 9e4c06f3ff..d582f4bef7 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -339,7 +339,7 @@ const unsigned char _Py_M__importlib_external[] = { 103,90,15,97,108,109,111,115,116,95,102,105,108,101,110,97, 109,101,114,4,0,0,0,114,4,0,0,0,114,5,0,0, 0,218,17,99,97,99,104,101,95,102,114,111,109,95,115,111, - 117,114,99,101,251,0,0,0,115,46,0,0,0,0,18,8, + 117,114,99,101,247,0,0,0,115,46,0,0,0,0,18,8, 1,6,1,6,1,8,1,4,1,8,1,12,1,12,1,16, 1,8,1,8,1,8,1,24,1,8,1,12,1,6,2,8, 1,8,1,8,1,8,1,14,1,14,1,114,79,0,0,0, @@ -412,7 +412,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 99,104,101,39,1,0,0,115,44,0,0,0,0,9,12,1, + 99,104,101,35,1,0,0,115,44,0,0,0,0,9,12,1, 8,1,12,1,12,1,8,1,6,1,10,1,10,1,8,1, 6,1,10,1,8,1,16,1,10,1,6,1,8,1,16,1, 8,1,6,1,8,1,14,1,114,85,0,0,0,99,1,0, @@ -447,7 +447,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 111,117,114,99,101,102,105,108,101,72,1,0,0,115,20,0, + 111,117,114,99,101,102,105,108,101,68,1,0,0,115,20,0, 0,0,0,7,12,1,4,1,16,1,26,1,4,1,2,1, 12,1,18,1,18,1,114,91,0,0,0,99,1,0,0,0, 0,0,0,0,1,0,0,0,11,0,0,0,67,0,0,0, @@ -461,7 +461,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 100,91,1,0,0,115,16,0,0,0,0,1,14,1,2,1, + 100,87,1,0,0,115,16,0,0,0,0,1,14,1,2,1, 8,1,14,1,8,1,14,1,6,2,114,95,0,0,0,99, 1,0,0,0,0,0,0,0,2,0,0,0,11,0,0,0, 67,0,0,0,115,52,0,0,0,121,14,116,0,124,0,131, @@ -475,7 +475,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 99,95,109,111,100,101,103,1,0,0,115,12,0,0,0,0, + 99,95,109,111,100,101,99,1,0,0,115,12,0,0,0,0, 2,2,1,14,1,14,1,10,3,8,1,114,97,0,0,0, 99,1,0,0,0,0,0,0,0,3,0,0,0,11,0,0, 0,3,0,0,0,115,68,0,0,0,100,1,135,0,102,1, @@ -512,7 +512,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 109,101,95,119,114,97,112,112,101,114,123,1,0,0,115,12, + 109,101,95,119,114,97,112,112,101,114,119,1,0,0,115,12, 0,0,0,0,1,8,1,8,1,10,1,4,1,20,1,122, 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, @@ -533,14 +533,14 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 119,114,97,112,134,1,0,0,115,8,0,0,0,0,1,10, + 119,114,97,112,130,1,0,0,115,8,0,0,0,0,1,10, 1,10,1,22,1,122,26,95,99,104,101,99,107,95,110,97, 109,101,46,60,108,111,99,97,108,115,62,46,95,119,114,97, 112,41,3,218,10,95,98,111,111,116,115,116,114,97,112,114, 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, - 0,218,11,95,99,104,101,99,107,95,110,97,109,101,115,1, + 0,218,11,95,99,104,101,99,107,95,110,97,109,101,111,1, 0,0,115,14,0,0,0,0,8,14,7,2,1,10,1,14, 2,14,5,10,1,114,116,0,0,0,99,2,0,0,0,0, 0,0,0,5,0,0,0,4,0,0,0,67,0,0,0,115, @@ -568,7 +568,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 105,110,100,95,109,111,100,117,108,101,95,115,104,105,109,143, + 105,110,100,95,109,111,100,117,108,101,95,115,104,105,109,139, 1,0,0,115,10,0,0,0,0,10,14,1,16,1,4,1, 22,1,114,123,0,0,0,99,4,0,0,0,0,0,0,0, 11,0,0,0,19,0,0,0,67,0,0,0,115,128,1,0, @@ -648,7 +648,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 100,101,95,104,101,97,100,101,114,160,1,0,0,115,76,0, + 100,101,95,104,101,97,100,101,114,156,1,0,0,115,76,0, 0,0,0,11,4,1,8,1,10,3,4,1,8,1,8,1, 12,1,12,1,12,1,8,1,12,1,12,1,12,1,12,1, 10,1,12,1,10,1,12,1,10,1,12,1,8,1,10,1, @@ -678,7 +678,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 100,101,215,1,0,0,115,16,0,0,0,0,2,10,1,10, + 100,101,211,1,0,0,115,16,0,0,0,0,2,10,1,10, 1,12,1,8,1,12,1,6,2,12,1,114,141,0,0,0, 114,59,0,0,0,99,3,0,0,0,0,0,0,0,4,0, 0,0,3,0,0,0,67,0,0,0,115,56,0,0,0,116, @@ -696,7 +696,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 100,101,95,116,111,95,98,121,116,101,99,111,100,101,227,1, + 100,101,95,116,111,95,98,121,116,101,99,111,100,101,223,1, 0,0,115,10,0,0,0,0,3,8,1,14,1,14,1,16, 1,114,144,0,0,0,99,1,0,0,0,0,0,0,0,5, 0,0,0,4,0,0,0,67,0,0,0,115,62,0,0,0, @@ -723,7 +723,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 218,13,100,101,99,111,100,101,95,115,111,117,114,99,101,237, + 218,13,100,101,99,111,100,101,95,115,111,117,114,99,101,233, 1,0,0,115,10,0,0,0,0,5,8,1,12,1,10,1, 12,1,114,149,0,0,0,114,120,0,0,0,218,26,115,117, 98,109,111,100,117,108,101,95,115,101,97,114,99,104,95,108, @@ -784,7 +784,7 @@ const unsigned char _Py_M__importlib_external[] = { 7,100,105,114,110,97,109,101,114,4,0,0,0,114,4,0, 0,0,114,5,0,0,0,218,23,115,112,101,99,95,102,114, 111,109,95,102,105,108,101,95,108,111,99,97,116,105,111,110, - 254,1,0,0,115,60,0,0,0,0,12,8,4,4,1,10, + 250,1,0,0,115,60,0,0,0,0,12,8,4,4,1,10, 2,2,1,14,1,14,1,6,8,18,1,6,3,8,1,16, 1,14,1,10,1,6,1,6,2,4,3,8,2,10,1,2, 1,14,1,14,1,6,2,4,1,8,2,6,1,12,1,6, @@ -820,7 +820,7 @@ const unsigned char _Py_M__importlib_external[] = { 89,95,76,79,67,65,76,95,77,65,67,72,73,78,69,41, 2,218,3,99,108,115,218,3,107,101,121,114,4,0,0,0, 114,4,0,0,0,114,5,0,0,0,218,14,95,111,112,101, - 110,95,114,101,103,105,115,116,114,121,76,2,0,0,115,8, + 110,95,114,101,103,105,115,116,114,121,72,2,0,0,115,8, 0,0,0,0,2,2,1,14,1,14,1,122,36,87,105,110, 100,111,119,115,82,101,103,105,115,116,114,121,70,105,110,100, 101,114,46,95,111,112,101,110,95,114,101,103,105,115,116,114, @@ -846,7 +846,7 @@ const unsigned char _Py_M__importlib_external[] = { 107,101,121,114,165,0,0,0,90,4,104,107,101,121,218,8, 102,105,108,101,112,97,116,104,114,4,0,0,0,114,4,0, 0,0,114,5,0,0,0,218,16,95,115,101,97,114,99,104, - 95,114,101,103,105,115,116,114,121,83,2,0,0,115,22,0, + 95,114,101,103,105,115,116,114,121,79,2,0,0,115,22,0, 0,0,0,2,6,1,8,2,6,1,10,1,22,1,2,1, 12,1,26,1,14,1,6,1,122,38,87,105,110,100,111,119, 115,82,101,103,105,115,116,114,121,70,105,110,100,101,114,46, @@ -868,7 +868,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,35,0,0,0,218,6,116,97,114,103,101,116,114,171,0, 0,0,114,120,0,0,0,114,160,0,0,0,114,158,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, - 218,9,102,105,110,100,95,115,112,101,99,98,2,0,0,115, + 218,9,102,105,110,100,95,115,112,101,99,94,2,0,0,115, 26,0,0,0,0,2,10,1,8,1,4,1,2,1,12,1, 14,1,6,1,16,1,14,1,6,1,10,1,8,1,122,31, 87,105,110,100,111,119,115,82,101,103,105,115,116,114,121,70, @@ -887,7 +887,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,218, - 11,102,105,110,100,95,109,111,100,117,108,101,114,2,0,0, + 11,102,105,110,100,95,109,111,100,117,108,101,110,2,0,0, 115,8,0,0,0,0,7,12,1,8,1,8,2,122,33,87, 105,110,100,111,119,115,82,101,103,105,115,116,114,121,70,105, 110,100,101,114,46,102,105,110,100,95,109,111,100,117,108,101, @@ -896,7 +896,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,167,0,0,0,218,11,99,108,97,115,115,109,101,116,104, 111,100,114,166,0,0,0,114,172,0,0,0,114,175,0,0, 0,114,176,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,162,0,0,0,64, + 114,4,0,0,0,114,5,0,0,0,114,162,0,0,0,60, 2,0,0,115,20,0,0,0,8,2,4,3,4,3,4,2, 4,2,12,7,12,15,2,1,14,15,2,1,114,162,0,0, 0,99,0,0,0,0,0,0,0,0,0,0,0,0,2,0, @@ -931,7 +931,7 @@ const unsigned char _Py_M__importlib_external[] = { 41,5,114,100,0,0,0,114,119,0,0,0,114,94,0,0, 0,90,13,102,105,108,101,110,97,109,101,95,98,97,115,101, 90,9,116,97,105,108,95,110,97,109,101,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,153,0,0,0,133, + 114,4,0,0,0,114,5,0,0,0,114,153,0,0,0,129, 2,0,0,115,8,0,0,0,0,3,18,1,16,1,14,1, 122,24,95,76,111,97,100,101,114,66,97,115,105,99,115,46, 105,115,95,112,97,99,107,97,103,101,99,2,0,0,0,0, @@ -942,7 +942,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 0,0,114,5,0,0,0,218,13,99,114,101,97,116,101,95, - 109,111,100,117,108,101,141,2,0,0,115,0,0,0,0,122, + 109,111,100,117,108,101,137,2,0,0,115,0,0,0,0,122, 27,95,76,111,97,100,101,114,66,97,115,105,99,115,46,99, 114,101,97,116,101,95,109,111,100,117,108,101,99,2,0,0, 0,0,0,0,0,3,0,0,0,4,0,0,0,67,0,0, @@ -962,7 +962,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,41,3,114,100,0,0,0,218,6,109,111,100,117,108, 101,114,140,0,0,0,114,4,0,0,0,114,4,0,0,0, 114,5,0,0,0,218,11,101,120,101,99,95,109,111,100,117, - 108,101,144,2,0,0,115,10,0,0,0,0,2,12,1,8, + 108,101,140,2,0,0,115,10,0,0,0,0,2,12,1,8, 1,6,1,10,1,122,25,95,76,111,97,100,101,114,66,97, 115,105,99,115,46,101,120,101,99,95,109,111,100,117,108,101, 99,2,0,0,0,0,0,0,0,2,0,0,0,3,0,0, @@ -973,14 +973,14 @@ const unsigned char _Py_M__importlib_external[] = { 97,100,95,109,111,100,117,108,101,95,115,104,105,109,41,2, 114,100,0,0,0,114,119,0,0,0,114,4,0,0,0,114, 4,0,0,0,114,5,0,0,0,218,11,108,111,97,100,95, - 109,111,100,117,108,101,152,2,0,0,115,2,0,0,0,0, + 109,111,100,117,108,101,148,2,0,0,115,2,0,0,0,0, 2,122,25,95,76,111,97,100,101,114,66,97,115,105,99,115, 46,108,111,97,100,95,109,111,100,117,108,101,78,41,8,114, 105,0,0,0,114,104,0,0,0,114,106,0,0,0,114,107, 0,0,0,114,153,0,0,0,114,180,0,0,0,114,185,0, 0,0,114,187,0,0,0,114,4,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,5,0,0,0,114,178,0,0,0, - 128,2,0,0,115,10,0,0,0,8,3,4,2,8,8,8, + 124,2,0,0,115,10,0,0,0,8,3,4,2,8,8,8, 3,8,8,114,178,0,0,0,99,0,0,0,0,0,0,0, 0,0,0,0,0,4,0,0,0,64,0,0,0,115,74,0, 0,0,101,0,90,1,100,0,90,2,100,1,100,2,132,0, @@ -1005,7 +1005,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,78,41,1,218,7,73,79,69,114,114,111,114, 41,2,114,100,0,0,0,114,35,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,5,0,0,0,218,10,112,97,116, - 104,95,109,116,105,109,101,159,2,0,0,115,2,0,0,0, + 104,95,109,116,105,109,101,155,2,0,0,115,2,0,0,0, 0,6,122,23,83,111,117,114,99,101,76,111,97,100,101,114, 46,112,97,116,104,95,109,116,105,109,101,99,2,0,0,0, 0,0,0,0,2,0,0,0,3,0,0,0,67,0,0,0, @@ -1040,7 +1040,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,114,126,0,0,0,41,1,114,190,0,0,0, 41,2,114,100,0,0,0,114,35,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,5,0,0,0,218,10,112,97,116, - 104,95,115,116,97,116,115,167,2,0,0,115,2,0,0,0, + 104,95,115,116,97,116,115,163,2,0,0,115,2,0,0,0, 0,11,122,23,83,111,117,114,99,101,76,111,97,100,101,114, 46,112,97,116,104,95,115,116,97,116,115,99,4,0,0,0, 0,0,0,0,4,0,0,0,3,0,0,0,67,0,0,0, @@ -1064,7 +1064,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,90,10,99,97,99,104,101,95,112,97,116,104,114,53,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, 0,218,15,95,99,97,99,104,101,95,98,121,116,101,99,111, - 100,101,180,2,0,0,115,2,0,0,0,0,8,122,28,83, + 100,101,176,2,0,0,115,2,0,0,0,0,8,122,28,83, 111,117,114,99,101,76,111,97,100,101,114,46,95,99,97,99, 104,101,95,98,121,116,101,99,111,100,101,99,3,0,0,0, 0,0,0,0,3,0,0,0,1,0,0,0,67,0,0,0, @@ -1080,7 +1080,7 @@ const unsigned char _Py_M__importlib_external[] = { 111,100,101,32,102,105,108,101,115,46,10,32,32,32,32,32, 32,32,32,78,114,4,0,0,0,41,3,114,100,0,0,0, 114,35,0,0,0,114,53,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,5,0,0,0,114,192,0,0,0,190,2, + 4,0,0,0,114,5,0,0,0,114,192,0,0,0,186,2, 0,0,115,0,0,0,0,122,21,83,111,117,114,99,101,76, 111,97,100,101,114,46,115,101,116,95,100,97,116,97,99,2, 0,0,0,0,0,0,0,5,0,0,0,16,0,0,0,67, @@ -1101,7 +1101,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,41,5,114,100,0,0,0,114,119,0,0,0,114, 35,0,0,0,114,147,0,0,0,218,3,101,120,99,114,4, 0,0,0,114,4,0,0,0,114,5,0,0,0,218,10,103, - 101,116,95,115,111,117,114,99,101,197,2,0,0,115,14,0, + 101,116,95,115,111,117,114,99,101,193,2,0,0,115,14,0, 0,0,0,2,10,1,2,1,14,1,16,1,6,1,28,1, 122,23,83,111,117,114,99,101,76,111,97,100,101,114,46,103, 101,116,95,115,111,117,114,99,101,218,9,95,111,112,116,105, @@ -1123,7 +1123,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,41,4,114,100,0,0,0,114,53,0,0,0,114,35,0, 0,0,114,197,0,0,0,114,4,0,0,0,114,4,0,0, 0,114,5,0,0,0,218,14,115,111,117,114,99,101,95,116, - 111,95,99,111,100,101,207,2,0,0,115,4,0,0,0,0, + 111,95,99,111,100,101,203,2,0,0,115,4,0,0,0,0, 5,14,1,122,27,83,111,117,114,99,101,76,111,97,100,101, 114,46,115,111,117,114,99,101,95,116,111,95,99,111,100,101, 99,2,0,0,0,0,0,0,0,10,0,0,0,43,0,0, @@ -1180,7 +1180,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 0,215,2,0,0,115,78,0,0,0,0,7,10,1,4,1, + 0,211,2,0,0,115,78,0,0,0,0,7,10,1,4,1, 2,1,12,1,14,1,10,2,2,1,14,1,14,1,6,2, 12,1,2,1,14,1,14,1,6,2,2,1,6,1,8,1, 12,1,18,1,6,2,8,1,6,1,10,1,4,1,8,1, @@ -1192,7 +1192,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 0,0,157,2,0,0,115,14,0,0,0,8,2,8,8,8, + 0,0,153,2,0,0,115,14,0,0,0,8,2,8,8,8, 13,8,10,8,7,8,10,14,8,114,188,0,0,0,99,0, 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0, 0,0,0,115,76,0,0,0,101,0,90,1,100,0,90,2, @@ -1218,7 +1218,7 @@ const unsigned char _Py_M__importlib_external[] = { 100,101,114,46,78,41,2,114,98,0,0,0,114,35,0,0, 0,41,3,114,100,0,0,0,114,119,0,0,0,114,35,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, - 0,114,179,0,0,0,16,3,0,0,115,4,0,0,0,0, + 0,114,179,0,0,0,12,3,0,0,115,4,0,0,0,0, 3,6,1,122,19,70,105,108,101,76,111,97,100,101,114,46, 95,95,105,110,105,116,95,95,99,2,0,0,0,0,0,0, 0,2,0,0,0,2,0,0,0,67,0,0,0,115,24,0, @@ -1227,7 +1227,7 @@ const unsigned char _Py_M__importlib_external[] = { 9,95,95,99,108,97,115,115,95,95,114,111,0,0,0,41, 2,114,100,0,0,0,218,5,111,116,104,101,114,114,4,0, 0,0,114,4,0,0,0,114,5,0,0,0,218,6,95,95, - 101,113,95,95,22,3,0,0,115,4,0,0,0,0,1,12, + 101,113,95,95,18,3,0,0,115,4,0,0,0,0,1,12, 1,122,17,70,105,108,101,76,111,97,100,101,114,46,95,95, 101,113,95,95,99,1,0,0,0,0,0,0,0,1,0,0, 0,3,0,0,0,67,0,0,0,115,20,0,0,0,116,0, @@ -1235,7 +1235,7 @@ const unsigned char _Py_M__importlib_external[] = { 83,0,41,1,78,41,3,218,4,104,97,115,104,114,98,0, 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, - 95,104,97,115,104,95,95,26,3,0,0,115,2,0,0,0, + 95,104,97,115,104,95,95,22,3,0,0,115,2,0,0,0, 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, 2,0,0,0,3,0,0,0,3,0,0,0,115,16,0,0, @@ -1249,7 +1249,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 4,0,0,0,114,5,0,0,0,114,187,0,0,0,29,3, + 4,0,0,0,114,5,0,0,0,114,187,0,0,0,25,3, 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, @@ -1260,7 +1260,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, - 0,114,151,0,0,0,41,3,0,0,115,2,0,0,0,0, + 0,114,151,0,0,0,37,3,0,0,115,2,0,0,0,0, 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, @@ -1272,7 +1272,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,114,78,41,3,114,49,0,0,0,114,50,0,0,0,90, 4,114,101,97,100,41,3,114,100,0,0,0,114,35,0,0, 0,114,54,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,5,0,0,0,114,194,0,0,0,46,3,0,0,115,4, + 114,5,0,0,0,114,194,0,0,0,42,3,0,0,115,4, 0,0,0,0,2,14,1,122,19,70,105,108,101,76,111,97, 100,101,114,46,103,101,116,95,100,97,116,97,41,11,114,105, 0,0,0,114,104,0,0,0,114,106,0,0,0,114,107,0, @@ -1280,7 +1280,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,116,0,0,0,114,187,0,0,0,114,151,0,0,0, 114,194,0,0,0,114,4,0,0,0,114,4,0,0,0,41, 1,114,205,0,0,0,114,5,0,0,0,114,204,0,0,0, - 11,3,0,0,115,14,0,0,0,8,3,4,2,8,6,8, + 7,3,0,0,115,14,0,0,0,8,3,4,2,8,6,8, 4,8,3,16,12,12,5,114,204,0,0,0,99,0,0,0, 0,0,0,0,0,0,0,0,0,4,0,0,0,64,0,0, 0,115,46,0,0,0,101,0,90,1,100,0,90,2,100,1, @@ -1301,7 +1301,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,218,8,115,116,95,109,116,105,109,101,90,7,115, 116,95,115,105,122,101,41,3,114,100,0,0,0,114,35,0, 0,0,114,202,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,5,0,0,0,114,191,0,0,0,56,3,0,0,115, + 0,114,5,0,0,0,114,191,0,0,0,52,3,0,0,115, 4,0,0,0,0,2,8,1,122,27,83,111,117,114,99,101, 70,105,108,101,76,111,97,100,101,114,46,112,97,116,104,95, 115,116,97,116,115,99,4,0,0,0,0,0,0,0,5,0, @@ -1311,7 +1311,7 @@ const unsigned char _Py_M__importlib_external[] = { 111,100,101,41,2,114,97,0,0,0,114,192,0,0,0,41, 5,114,100,0,0,0,114,90,0,0,0,114,89,0,0,0, 114,53,0,0,0,114,42,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,5,0,0,0,114,193,0,0,0,61,3, + 4,0,0,0,114,5,0,0,0,114,193,0,0,0,57,3, 0,0,115,4,0,0,0,0,2,8,1,122,32,83,111,117, 114,99,101,70,105,108,101,76,111,97,100,101,114,46,95,99, 97,99,104,101,95,98,121,116,101,99,111,100,101,114,214,0, @@ -1346,7 +1346,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,214,0,0,0,218,6,112,97,114,101,110,116, 114,94,0,0,0,114,27,0,0,0,114,23,0,0,0,114, 195,0,0,0,114,4,0,0,0,114,4,0,0,0,114,5, - 0,0,0,114,192,0,0,0,66,3,0,0,115,42,0,0, + 0,0,0,114,192,0,0,0,62,3,0,0,115,42,0,0, 0,0,2,12,1,4,2,16,1,12,1,14,2,14,1,10, 1,2,1,14,1,14,2,6,1,16,3,6,1,8,1,20, 1,2,1,12,1,16,1,16,2,8,1,122,25,83,111,117, @@ -1355,7 +1355,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,106,0,0,0,114,107,0,0,0,114,191,0, 0,0,114,193,0,0,0,114,192,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, - 114,212,0,0,0,52,3,0,0,115,8,0,0,0,8,2, + 114,212,0,0,0,48,3,0,0,115,8,0,0,0,8,2, 4,2,8,5,8,5,114,212,0,0,0,99,0,0,0,0, 0,0,0,0,0,0,0,0,2,0,0,0,64,0,0,0, 115,32,0,0,0,101,0,90,1,100,0,90,2,100,1,90, @@ -1375,7 +1375,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,141,0,0,0,41,5,114,100,0,0,0,114,119,0, 0,0,114,35,0,0,0,114,53,0,0,0,114,203,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, - 114,181,0,0,0,101,3,0,0,115,8,0,0,0,0,1, + 114,181,0,0,0,97,3,0,0,115,8,0,0,0,0,1, 10,1,10,1,18,1,122,29,83,111,117,114,99,101,108,101, 115,115,70,105,108,101,76,111,97,100,101,114,46,103,101,116, 95,99,111,100,101,99,2,0,0,0,0,0,0,0,2,0, @@ -1385,13 +1385,13 @@ const unsigned char _Py_M__importlib_external[] = { 111,32,115,111,117,114,99,101,32,99,111,100,101,46,78,114, 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, - 196,0,0,0,107,3,0,0,115,2,0,0,0,0,2,122, + 196,0,0,0,103,3,0,0,115,2,0,0,0,0,2,122, 31,83,111,117,114,99,101,108,101,115,115,70,105,108,101,76, 111,97,100,101,114,46,103,101,116,95,115,111,117,114,99,101, 78,41,6,114,105,0,0,0,114,104,0,0,0,114,106,0, 0,0,114,107,0,0,0,114,181,0,0,0,114,196,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,5,0,0,0,114,217,0,0,0,97,3,0,0,115,6, + 114,5,0,0,0,114,217,0,0,0,93,3,0,0,115,6, 0,0,0,8,2,4,2,8,6,114,217,0,0,0,99,0, 0,0,0,0,0,0,0,0,0,0,0,3,0,0,0,64, 0,0,0,115,92,0,0,0,101,0,90,1,100,0,90,2, @@ -1413,7 +1413,7 @@ const unsigned char _Py_M__importlib_external[] = { 100,0,83,0,41,1,78,41,2,114,98,0,0,0,114,35, 0,0,0,41,3,114,100,0,0,0,114,98,0,0,0,114, 35,0,0,0,114,4,0,0,0,114,4,0,0,0,114,5, - 0,0,0,114,179,0,0,0,124,3,0,0,115,4,0,0, + 0,0,0,114,179,0,0,0,120,3,0,0,115,4,0,0, 0,0,1,6,1,122,28,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,95,95,105,110,105, 116,95,95,99,2,0,0,0,0,0,0,0,2,0,0,0, @@ -1422,7 +1422,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,107,2,83,0,41,1,78,41,2,114,205,0,0,0,114, 111,0,0,0,41,2,114,100,0,0,0,114,206,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,114, - 207,0,0,0,128,3,0,0,115,4,0,0,0,0,1,12, + 207,0,0,0,124,3,0,0,115,4,0,0,0,0,1,12, 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, @@ -1430,7 +1430,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,124,0,106,2,131,1,65,0,83,0,41,1,78,41,3, 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, - 114,5,0,0,0,114,209,0,0,0,132,3,0,0,115,2, + 114,5,0,0,0,114,209,0,0,0,128,3,0,0,115,2, 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, @@ -1447,7 +1447,7 @@ const unsigned char _Py_M__importlib_external[] = { 97,109,105,99,114,129,0,0,0,114,98,0,0,0,114,35, 0,0,0,41,3,114,100,0,0,0,114,158,0,0,0,114, 184,0,0,0,114,4,0,0,0,114,4,0,0,0,114,5, - 0,0,0,114,180,0,0,0,135,3,0,0,115,10,0,0, + 0,0,0,114,180,0,0,0,131,3,0,0,115,10,0,0, 0,0,2,4,1,10,1,6,1,12,1,122,33,69,120,116, 101,110,115,105,111,110,70,105,108,101,76,111,97,100,101,114, 46,99,114,101,97,116,101,95,109,111,100,117,108,101,99,2, @@ -1464,7 +1464,7 @@ const unsigned char _Py_M__importlib_external[] = { 95,100,121,110,97,109,105,99,114,129,0,0,0,114,98,0, 0,0,114,35,0,0,0,41,2,114,100,0,0,0,114,184, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,5,0, - 0,0,114,185,0,0,0,143,3,0,0,115,6,0,0,0, + 0,0,114,185,0,0,0,139,3,0,0,115,6,0,0,0, 0,2,14,1,6,1,122,31,69,120,116,101,110,115,105,111, 110,70,105,108,101,76,111,97,100,101,114,46,101,120,101,99, 95,109,111,100,117,108,101,99,2,0,0,0,0,0,0,0, @@ -1482,7 +1482,7 @@ const unsigned char _Py_M__importlib_external[] = { 41,2,114,22,0,0,0,218,6,115,117,102,102,105,120,41, 1,218,9,102,105,108,101,95,110,97,109,101,114,4,0,0, 0,114,5,0,0,0,250,9,60,103,101,110,101,120,112,114, - 62,152,3,0,0,115,2,0,0,0,4,1,122,49,69,120, + 62,148,3,0,0,115,2,0,0,0,4,1,122,49,69,120, 116,101,110,115,105,111,110,70,105,108,101,76,111,97,100,101, 114,46,105,115,95,112,97,99,107,97,103,101,46,60,108,111, 99,97,108,115,62,46,60,103,101,110,101,120,112,114,62,41, @@ -1490,7 +1490,7 @@ const unsigned char _Py_M__importlib_external[] = { 218,18,69,88,84,69,78,83,73,79,78,95,83,85,70,70, 73,88,69,83,41,2,114,100,0,0,0,114,119,0,0,0, 114,4,0,0,0,41,1,114,220,0,0,0,114,5,0,0, - 0,114,153,0,0,0,149,3,0,0,115,6,0,0,0,0, + 0,114,153,0,0,0,145,3,0,0,115,6,0,0,0,0, 2,14,1,12,1,122,30,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,105,115,95,112,97, 99,107,97,103,101,99,2,0,0,0,0,0,0,0,2,0, @@ -1501,7 +1501,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,99,114,101,97,116,101,32,97,32,99,111,100,101,32,111, 98,106,101,99,116,46,78,114,4,0,0,0,41,2,114,100, 0,0,0,114,119,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,5,0,0,0,114,181,0,0,0,155,3,0,0, + 0,0,114,5,0,0,0,114,181,0,0,0,151,3,0,0, 115,2,0,0,0,0,2,122,28,69,120,116,101,110,115,105, 111,110,70,105,108,101,76,111,97,100,101,114,46,103,101,116, 95,99,111,100,101,99,2,0,0,0,0,0,0,0,2,0, @@ -1512,7 +1512,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,111,117,114,99,101,32,99,111,100,101,46,78,114,4,0, 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, - 0,0,159,3,0,0,115,2,0,0,0,0,2,122,30,69, + 0,0,155,3,0,0,115,2,0,0,0,0,2,122,30,69, 120,116,101,110,115,105,111,110,70,105,108,101,76,111,97,100, 101,114,46,103,101,116,95,115,111,117,114,99,101,99,2,0, 0,0,0,0,0,0,2,0,0,0,1,0,0,0,67,0, @@ -1523,7 +1523,7 @@ const unsigned char _Py_M__importlib_external[] = { 116,104,101,32,102,105,110,100,101,114,46,41,1,114,35,0, 0,0,41,2,114,100,0,0,0,114,119,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,5,0,0,0,114,151,0, - 0,0,163,3,0,0,115,2,0,0,0,0,3,122,32,69, + 0,0,159,3,0,0,115,2,0,0,0,0,3,122,32,69, 120,116,101,110,115,105,111,110,70,105,108,101,76,111,97,100, 101,114,46,103,101,116,95,102,105,108,101,110,97,109,101,78, 41,14,114,105,0,0,0,114,104,0,0,0,114,106,0,0, @@ -1532,7 +1532,7 @@ const unsigned char _Py_M__importlib_external[] = { 153,0,0,0,114,181,0,0,0,114,196,0,0,0,114,116, 0,0,0,114,151,0,0,0,114,4,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,5,0,0,0,114,218,0,0, - 0,116,3,0,0,115,20,0,0,0,8,6,4,2,8,4, + 0,112,3,0,0,115,20,0,0,0,8,6,4,2,8,4, 8,4,8,3,8,8,8,6,8,6,8,4,8,4,114,218, 0,0,0,99,0,0,0,0,0,0,0,0,0,0,0,0, 2,0,0,0,64,0,0,0,115,96,0,0,0,101,0,90, @@ -1573,7 +1573,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 114,179,0,0,0,176,3,0,0,115,8,0,0,0,0,1, + 114,179,0,0,0,172,3,0,0,115,8,0,0,0,0,1, 6,1,6,1,14,1,122,23,95,78,97,109,101,115,112,97, 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, @@ -1591,7 +1591,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 110,97,109,101,115,182,3,0,0,115,8,0,0,0,0,2, + 110,97,109,101,115,178,3,0,0,115,8,0,0,0,0,2, 18,1,8,2,4,3,122,38,95,78,97,109,101,115,112,97, 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, @@ -1604,7 +1604,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 192,3,0,0,115,4,0,0,0,0,1,12,1,122,31,95, + 188,3,0,0,115,4,0,0,0,0,1,12,1,122,31,95, 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, @@ -1619,7 +1619,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 114,101,99,97,108,99,117,108,97,116,101,196,3,0,0,115, + 114,101,99,97,108,99,117,108,97,116,101,192,3,0,0,115, 16,0,0,0,0,2,12,1,10,1,14,3,18,1,6,1, 8,1,6,1,122,27,95,78,97,109,101,115,112,97,99,101, 80,97,116,104,46,95,114,101,99,97,108,99,117,108,97,116, @@ -1628,7 +1628,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,131,0,131,1,83,0,41,1,78,41,2,218,4,105,116, 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, - 95,105,116,101,114,95,95,209,3,0,0,115,2,0,0,0, + 95,105,116,101,114,95,95,205,3,0,0,115,2,0,0,0, 0,1,122,23,95,78,97,109,101,115,112,97,99,101,80,97, 116,104,46,95,95,105,116,101,114,95,95,99,3,0,0,0, 0,0,0,0,3,0,0,0,3,0,0,0,67,0,0,0, @@ -1636,7 +1636,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,83,0,41,1,78,41,1,114,226,0,0,0,41,3,114, 100,0,0,0,218,5,105,110,100,101,120,114,35,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,218, - 11,95,95,115,101,116,105,116,101,109,95,95,212,3,0,0, + 11,95,95,115,101,116,105,116,101,109,95,95,208,3,0,0, 115,2,0,0,0,0,1,122,26,95,78,97,109,101,115,112, 97,99,101,80,97,116,104,46,95,95,115,101,116,105,116,101, 109,95,95,99,1,0,0,0,0,0,0,0,1,0,0,0, @@ -1644,7 +1644,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,106,1,131,0,131,1,83,0,41,1,78,41,2,114,31, 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, - 95,95,108,101,110,95,95,215,3,0,0,115,2,0,0,0, + 95,95,108,101,110,95,95,211,3,0,0,115,2,0,0,0, 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, @@ -1653,7 +1653,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 101,112,114,95,95,218,3,0,0,115,2,0,0,0,0,1, + 101,112,114,95,95,214,3,0,0,115,2,0,0,0,0,1, 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, 0,0,2,0,0,0,2,0,0,0,67,0,0,0,115,12, @@ -1661,7 +1661,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 115,95,95,221,3,0,0,115,2,0,0,0,0,1,122,27, + 115,95,95,217,3,0,0,115,2,0,0,0,0,1,122,27, 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, @@ -1669,7 +1669,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,100,0,83,0,41,1,78,41,2,114,226,0,0,0,114, 157,0,0,0,41,2,114,100,0,0,0,114,241,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,114, - 157,0,0,0,224,3,0,0,115,2,0,0,0,0,1,122, + 157,0,0,0,220,3,0,0,115,2,0,0,0,0,1,122, 21,95,78,97,109,101,115,112,97,99,101,80,97,116,104,46, 97,112,112,101,110,100,78,41,14,114,105,0,0,0,114,104, 0,0,0,114,106,0,0,0,114,107,0,0,0,114,179,0, @@ -1677,7 +1677,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,236,0,0,0,114,238,0,0,0,114,239,0,0,0, 114,240,0,0,0,114,242,0,0,0,114,157,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,4,0,0,0,114,5, - 0,0,0,114,224,0,0,0,169,3,0,0,115,22,0,0, + 0,0,0,114,224,0,0,0,165,3,0,0,115,22,0,0, 0,8,5,4,2,8,6,8,10,8,4,8,13,8,3,8, 3,8,3,8,3,8,3,114,224,0,0,0,99,0,0,0, 0,0,0,0,0,0,0,0,0,3,0,0,0,64,0,0, @@ -1693,7 +1693,7 @@ const unsigned char _Py_M__importlib_external[] = { 95,1,100,0,83,0,41,1,78,41,2,114,224,0,0,0, 114,226,0,0,0,41,4,114,100,0,0,0,114,98,0,0, 0,114,35,0,0,0,114,230,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,179,0,0,0,230, + 114,4,0,0,0,114,5,0,0,0,114,179,0,0,0,226, 3,0,0,115,2,0,0,0,0,1,122,25,95,78,97,109, 101,115,112,97,99,101,76,111,97,100,101,114,46,95,95,105, 110,105,116,95,95,99,2,0,0,0,0,0,0,0,2,0, @@ -1711,21 +1711,21 @@ const unsigned char _Py_M__importlib_external[] = { 47,0,0,0,114,105,0,0,0,41,2,114,164,0,0,0, 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, - 114,233,3,0,0,115,2,0,0,0,0,7,122,28,95,78, + 114,229,3,0,0,115,2,0,0,0,0,7,122,28,95,78, 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, 4,0,0,0,100,1,83,0,41,2,78,84,114,4,0,0, 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, - 0,242,3,0,0,115,2,0,0,0,0,1,122,27,95,78, + 0,238,3,0,0,115,2,0,0,0,0,1,122,27,95,78, 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, 0,0,0,100,1,83,0,41,2,78,114,30,0,0,0,114, 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, - 196,0,0,0,245,3,0,0,115,2,0,0,0,0,1,122, + 196,0,0,0,241,3,0,0,115,2,0,0,0,0,1,122, 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, @@ -1734,7 +1734,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 0,0,114,5,0,0,0,114,181,0,0,0,248,3,0,0, + 0,0,114,5,0,0,0,114,181,0,0,0,244,3,0,0, 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, @@ -1744,14 +1744,14 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 180,0,0,0,251,3,0,0,115,0,0,0,0,122,30,95, + 180,0,0,0,247,3,0,0,115,0,0,0,0,122,30,95, 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, 0,0,115,4,0,0,0,100,0,83,0,41,1,78,114,4, 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, - 0,0,0,254,3,0,0,115,2,0,0,0,0,1,122,28, + 0,0,0,250,3,0,0,115,2,0,0,0,0,1,122,28, 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, @@ -1769,7 +1769,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 187,0,0,0,1,4,0,0,115,6,0,0,0,0,7,6, + 187,0,0,0,253,3,0,0,115,6,0,0,0,0,7,6, 1,8,1,122,28,95,78,97,109,101,115,112,97,99,101,76, 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, @@ -1777,7 +1777,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 5,0,0,0,114,243,0,0,0,229,3,0,0,115,16,0, + 5,0,0,0,114,243,0,0,0,225,3,0,0,115,16,0, 0,0,8,1,8,3,12,9,8,3,8,3,8,3,8,3, 8,3,114,243,0,0,0,99,0,0,0,0,0,0,0,0, 0,0,0,0,5,0,0,0,64,0,0,0,115,108,0,0, @@ -1811,7 +1811,7 @@ const unsigned char _Py_M__importlib_external[] = { 218,6,118,97,108,117,101,115,114,108,0,0,0,114,246,0, 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, - 114,246,0,0,0,19,4,0,0,115,6,0,0,0,0,4, + 114,246,0,0,0,15,4,0,0,115,6,0,0,0,0,4, 16,1,10,1,122,28,80,97,116,104,70,105,110,100,101,114, 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, @@ -1835,7 +1835,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 95,104,111,111,107,115,27,4,0,0,115,16,0,0,0,0, + 95,104,111,111,107,115,23,4,0,0,115,16,0,0,0,0, 7,18,1,12,1,12,1,2,1,8,1,14,1,12,2,122, 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, @@ -1866,7 +1866,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,251,0,0,0,41,3,114,164,0,0,0,114,35,0, 0,0,114,249,0,0,0,114,4,0,0,0,114,4,0,0, 0,114,5,0,0,0,218,20,95,112,97,116,104,95,105,109, - 112,111,114,116,101,114,95,99,97,99,104,101,44,4,0,0, + 112,111,114,116,101,114,95,99,97,99,104,101,40,4,0,0, 115,22,0,0,0,0,8,8,1,2,1,12,1,14,3,6, 1,2,1,14,1,14,1,10,1,16,1,122,31,80,97,116, 104,70,105,110,100,101,114,46,95,112,97,116,104,95,105,109, @@ -1884,7 +1884,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,249,0,0,0,114,120,0,0,0,114,121,0,0,0, 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, - 116,95,115,112,101,99,66,4,0,0,115,18,0,0,0,0, + 116,95,115,112,101,99,62,4,0,0,115,18,0,0,0,0, 4,10,1,16,2,10,1,4,1,8,1,12,1,12,1,6, 1,122,27,80,97,116,104,70,105,110,100,101,114,46,95,108, 101,103,97,99,121,95,103,101,116,95,115,112,101,99,78,99, @@ -1915,7 +1915,7 @@ const unsigned char _Py_M__importlib_external[] = { 109,101,115,112,97,99,101,95,112,97,116,104,90,5,101,110, 116,114,121,114,249,0,0,0,114,158,0,0,0,114,121,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, - 0,218,9,95,103,101,116,95,115,112,101,99,81,4,0,0, + 0,218,9,95,103,101,116,95,115,112,101,99,77,4,0,0, 115,40,0,0,0,0,5,4,1,10,1,14,1,2,1,10, 1,8,1,10,1,14,2,12,1,8,1,2,1,10,1,4, 1,6,1,8,1,8,5,14,2,12,1,6,1,122,20,80, @@ -1941,7 +1941,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,119,0,0,0,114,35,0,0,0,114,174,0, 0,0,114,158,0,0,0,114,0,1,0,0,114,4,0,0, 0,114,4,0,0,0,114,5,0,0,0,114,175,0,0,0, - 113,4,0,0,115,26,0,0,0,0,4,8,1,6,1,14, + 109,4,0,0,115,26,0,0,0,0,4,8,1,6,1,14, 1,8,1,6,1,10,1,6,1,4,3,6,1,16,1,6, 2,6,2,122,20,80,97,116,104,70,105,110,100,101,114,46, 102,105,110,100,95,115,112,101,99,99,3,0,0,0,0,0, @@ -1962,7 +1962,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 0,114,176,0,0,0,135,4,0,0,115,8,0,0,0,0, + 0,114,176,0,0,0,131,4,0,0,115,8,0,0,0,0, 8,12,1,8,1,4,1,122,22,80,97,116,104,70,105,110, 100,101,114,46,102,105,110,100,95,109,111,100,117,108,101,41, 12,114,105,0,0,0,114,104,0,0,0,114,106,0,0,0, @@ -1970,7 +1970,7 @@ const unsigned char _Py_M__importlib_external[] = { 251,0,0,0,114,253,0,0,0,114,254,0,0,0,114,1, 1,0,0,114,175,0,0,0,114,176,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, - 0,114,245,0,0,0,15,4,0,0,115,22,0,0,0,8, + 0,114,245,0,0,0,11,4,0,0,115,22,0,0,0,8, 2,4,2,12,8,12,17,12,22,12,15,2,1,12,31,2, 1,14,21,2,1,114,245,0,0,0,99,0,0,0,0,0, 0,0,0,0,0,0,0,3,0,0,0,64,0,0,0,115, @@ -2014,7 +2014,7 @@ const unsigned char _Py_M__importlib_external[] = { 86,0,1,0,113,2,100,0,83,0,41,1,78,114,4,0, 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, - 221,0,0,0,164,4,0,0,115,2,0,0,0,4,0,122, + 221,0,0,0,160,4,0,0,115,2,0,0,0,4,0,122, 38,70,105,108,101,70,105,110,100,101,114,46,95,95,105,110, 105,116,95,95,46,60,108,111,99,97,108,115,62,46,60,103, 101,110,101,120,112,114,62,114,58,0,0,0,114,29,0,0, @@ -2027,7 +2027,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 0,158,4,0,0,115,16,0,0,0,0,4,4,1,14,1, + 0,154,4,0,0,115,16,0,0,0,0,4,4,1,14,1, 28,1,6,2,10,1,6,1,8,1,122,19,70,105,108,101, 70,105,110,100,101,114,46,95,95,105,110,105,116,95,95,99, 1,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0, @@ -2037,7 +2037,7 @@ const unsigned char _Py_M__importlib_external[] = { 109,116,105,109,101,46,114,29,0,0,0,78,114,87,0,0, 0,41,1,114,4,1,0,0,41,1,114,100,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,5,0,0,0,114,246, - 0,0,0,172,4,0,0,115,2,0,0,0,0,2,122,28, + 0,0,0,168,4,0,0,115,2,0,0,0,0,2,122,28, 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, @@ -2060,7 +2060,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 178,4,0,0,115,8,0,0,0,0,7,10,1,8,1,8, + 174,4,0,0,115,8,0,0,0,0,7,10,1,8,1,8, 1,122,22,70,105,108,101,70,105,110,100,101,114,46,102,105, 110,100,95,108,111,97,100,101,114,99,6,0,0,0,0,0, 0,0,7,0,0,0,7,0,0,0,67,0,0,0,115,30, @@ -2070,7 +2070,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 114,4,0,0,0,114,5,0,0,0,114,1,1,0,0,190, + 114,4,0,0,0,114,5,0,0,0,114,1,1,0,0,186, 4,0,0,115,6,0,0,0,0,1,10,1,12,1,122,20, 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, @@ -2124,7 +2124,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 114,4,0,0,0,114,5,0,0,0,114,175,0,0,0,195, + 114,4,0,0,0,114,5,0,0,0,114,175,0,0,0,191, 4,0,0,115,70,0,0,0,0,3,4,1,14,1,2,1, 24,1,14,1,10,1,10,1,8,1,6,2,6,1,6,1, 10,2,6,1,4,2,8,1,12,1,16,1,8,1,10,1, @@ -2156,7 +2156,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,146,2,113,4,83,0,114,4,0,0,0,41,1,114,88, 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, - 115,101,116,99,111,109,112,62,14,5,0,0,115,2,0,0, + 115,101,116,99,111,109,112,62,10,5,0,0,115,2,0,0, 0,6,0,122,41,70,105,108,101,70,105,110,100,101,114,46, 95,102,105,108,108,95,99,97,99,104,101,46,60,108,111,99, 97,108,115,62,46,60,115,101,116,99,111,109,112,62,78,41, @@ -2173,7 +2173,7 @@ const unsigned char _Py_M__importlib_external[] = { 111,110,116,101,110,116,115,114,241,0,0,0,114,98,0,0, 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, - 5,0,0,0,114,9,1,0,0,241,4,0,0,115,34,0, + 5,0,0,0,114,9,1,0,0,237,4,0,0,115,34,0, 0,0,0,2,6,1,2,1,22,1,20,3,10,3,12,1, 12,7,6,1,10,1,16,1,4,1,18,2,4,1,14,1, 6,1,12,1,122,22,70,105,108,101,70,105,110,100,101,114, @@ -2211,7 +2211,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,114,35,0,0,0,41,2,114,164,0,0,0,114,8,1, 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, - 70,105,110,100,101,114,26,5,0,0,115,6,0,0,0,0, + 70,105,110,100,101,114,22,5,0,0,115,6,0,0,0,0, 2,8,1,14,1,122,54,70,105,108,101,70,105,110,100,101, 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, @@ -2219,7 +2219,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,41,3,114,164,0,0,0,114,8,1,0,0,114,14, 1,0,0,114,4,0,0,0,41,2,114,164,0,0,0,114, 8,1,0,0,114,5,0,0,0,218,9,112,97,116,104,95, - 104,111,111,107,16,5,0,0,115,4,0,0,0,0,10,14, + 104,111,111,107,12,5,0,0,115,4,0,0,0,0,10,14, 6,122,20,70,105,108,101,70,105,110,100,101,114,46,112,97, 116,104,95,104,111,111,107,99,1,0,0,0,0,0,0,0, 1,0,0,0,2,0,0,0,67,0,0,0,115,12,0,0, @@ -2227,7 +2227,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 5,0,0,0,114,240,0,0,0,34,5,0,0,115,2,0, + 5,0,0,0,114,240,0,0,0,30,5,0,0,115,2,0, 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, @@ -2235,7 +2235,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,117,0,0,0,114,1,1,0,0,114,175,0, 0,0,114,9,1,0,0,114,177,0,0,0,114,15,1,0, 0,114,240,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,2,1,0,0,149, + 114,4,0,0,0,114,5,0,0,0,114,2,1,0,0,145, 4,0,0,115,20,0,0,0,8,7,4,2,8,14,8,4, 4,2,8,12,8,5,10,46,8,31,12,18,114,2,1,0, 0,99,4,0,0,0,0,0,0,0,6,0,0,0,11,0, @@ -2259,7 +2259,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 108,101,40,5,0,0,115,34,0,0,0,0,2,10,1,10, + 108,101,36,5,0,0,115,34,0,0,0,0,2,10,1,10, 1,4,1,4,1,8,1,8,1,12,2,10,1,4,1,16, 1,2,1,8,1,8,1,8,1,12,1,14,2,114,20,1, 0,0,99,0,0,0,0,0,0,0,0,3,0,0,0,3, @@ -2278,7 +2278,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 0,0,0,114,5,0,0,0,114,155,0,0,0,63,5,0, + 0,0,0,114,5,0,0,0,114,155,0,0,0,59,5,0, 0,115,8,0,0,0,0,5,12,1,8,1,8,1,114,155, 0,0,0,99,1,0,0,0,0,0,0,0,12,0,0,0, 12,0,0,0,67,0,0,0,115,188,1,0,0,124,0,97, @@ -2331,7 +2331,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,0,113,2,100,1,83,0,41,2,114,29,0,0,0,78, 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, - 0,0,114,221,0,0,0,99,5,0,0,115,2,0,0,0, + 0,0,114,221,0,0,0,95,5,0,0,115,2,0,0,0, 4,0,122,25,95,115,101,116,117,112,46,60,108,111,99,97, 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, @@ -2361,7 +2361,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 114,5,0,0,0,218,6,95,115,101,116,117,112,74,5,0, + 114,5,0,0,0,218,6,95,115,101,116,117,112,70,5,0, 0,115,82,0,0,0,0,8,4,1,6,1,6,3,10,1, 10,1,10,1,12,2,10,1,16,3,22,1,14,2,22,1, 8,1,10,1,10,1,4,2,2,1,10,1,6,1,14,1, @@ -2385,7 +2385,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,114,245,0,0,0,114,212,0,0,0,41,2,114,28, 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, - 114,5,0,0,0,218,8,95,105,110,115,116,97,108,108,142, + 114,5,0,0,0,218,8,95,105,110,115,116,97,108,108,138, 5,0,0,115,16,0,0,0,0,2,8,1,6,1,20,1, 10,1,12,1,12,4,6,1,114,31,1,0,0,41,3,122, 3,119,105,110,114,1,0,0,0,114,2,0,0,0,41,56, @@ -2414,7 +2414,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,218, 8,60,109,111,100,117,108,101,62,8,0,0,0,115,102,0, 0,0,4,17,4,3,8,12,8,5,8,5,8,6,8,12, - 8,10,8,9,8,5,8,7,10,22,10,118,16,1,12,2, + 8,10,8,9,8,5,8,7,10,22,10,114,16,1,12,2, 4,1,4,2,6,2,6,2,8,2,16,44,8,33,8,19, 8,12,8,12,8,28,8,17,14,55,14,12,12,10,8,14, 6,3,8,1,12,65,14,64,14,29,16,110,14,41,18,45, -- cgit v1.2.1 From fa60de800763bc0f7b70d67ca749fce15d2d53de Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Sun, 12 Jun 2016 17:36:24 +0300 Subject: Issue #27095: Simplified MAKE_FUNCTION and removed MAKE_CLOSURE opcodes. Patch by Demur Rumed. --- Python/ceval.c | 124 +- Python/compile.c | 247 +-- Python/importlib.h | 3302 ++++++++++++++++---------------- Python/importlib_external.h | 4443 ++++++++++++++++++++++--------------------- Python/opcode_targets.h | 2 +- 5 files changed, 4034 insertions(+), 4084 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 1d3bc90093..38ac509117 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -3325,116 +3325,36 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) DISPATCH(); } - TARGET(MAKE_CLOSURE) TARGET(MAKE_FUNCTION) { - int posdefaults = oparg & 0xff; - int kwdefaults = (oparg>>8) & 0xff; - int num_annotations = (oparg >> 16) & 0x7fff; - - PyObject *qualname = POP(); /* qualname */ - PyObject *code = POP(); /* code object */ - PyObject *func = PyFunction_NewWithQualName(code, f->f_globals, qualname); - Py_DECREF(code); - Py_DECREF(qualname); + PyObject *qualname = POP(); + PyObject *codeobj = POP(); + PyFunctionObject *func = (PyFunctionObject *) + PyFunction_NewWithQualName(codeobj, f->f_globals, qualname); - if (func == NULL) + Py_DECREF(codeobj); + Py_DECREF(qualname); + if (func == NULL) { goto error; - - if (opcode == MAKE_CLOSURE) { - PyObject *closure = POP(); - if (PyFunction_SetClosure(func, closure) != 0) { - /* Can't happen unless bytecode is corrupt. */ - Py_DECREF(func); - Py_DECREF(closure); - goto error; - } - Py_DECREF(closure); } - if (num_annotations > 0) { - Py_ssize_t name_ix; - PyObject *names = POP(); /* names of args with annotations */ - PyObject *anns = PyDict_New(); - if (anns == NULL) { - Py_DECREF(func); - Py_DECREF(names); - goto error; - } - name_ix = PyTuple_Size(names); - assert(num_annotations == name_ix+1); - while (name_ix > 0) { - PyObject *name, *value; - int err; - --name_ix; - name = PyTuple_GET_ITEM(names, name_ix); - value = POP(); - err = PyDict_SetItem(anns, name, value); - Py_DECREF(value); - if (err != 0) { - Py_DECREF(anns); - Py_DECREF(func); - Py_DECREF(names); - goto error; - } - } - Py_DECREF(names); - - if (PyFunction_SetAnnotations(func, anns) != 0) { - /* Can't happen unless - PyFunction_SetAnnotations changes. */ - Py_DECREF(anns); - Py_DECREF(func); - goto error; - } - Py_DECREF(anns); + if (oparg & 0x08) { + assert(PyTuple_CheckExact(TOP())); + func ->func_closure = POP(); } - - /* XXX Maybe this should be a separate opcode? */ - if (kwdefaults > 0) { - PyObject *defs = PyDict_New(); - if (defs == NULL) { - Py_DECREF(func); - goto error; - } - while (--kwdefaults >= 0) { - PyObject *v = POP(); /* default value */ - PyObject *key = POP(); /* kw only arg name */ - int err = PyDict_SetItem(defs, key, v); - Py_DECREF(v); - Py_DECREF(key); - if (err != 0) { - Py_DECREF(defs); - Py_DECREF(func); - goto error; - } - } - if (PyFunction_SetKwDefaults(func, defs) != 0) { - /* Can't happen unless - PyFunction_SetKwDefaults changes. */ - Py_DECREF(func); - Py_DECREF(defs); - goto error; - } - Py_DECREF(defs); + if (oparg & 0x04) { + assert(PyDict_CheckExact(TOP())); + func->func_annotations = POP(); } - if (posdefaults > 0) { - PyObject *defs = PyTuple_New(posdefaults); - if (defs == NULL) { - Py_DECREF(func); - goto error; - } - while (--posdefaults >= 0) - PyTuple_SET_ITEM(defs, posdefaults, POP()); - if (PyFunction_SetDefaults(func, defs) != 0) { - /* Can't happen unless - PyFunction_SetDefaults changes. */ - Py_DECREF(defs); - Py_DECREF(func); - goto error; - } - Py_DECREF(defs); + if (oparg & 0x02) { + assert(PyDict_CheckExact(TOP())); + func->func_kwdefaults = POP(); + } + if (oparg & 0x01) { + assert(PyTuple_CheckExact(TOP())); + func->func_defaults = POP(); } - PUSH(func); + + PUSH((PyObject *)func); DISPATCH(); } diff --git a/Python/compile.c b/Python/compile.c index 485fdd7a28..efb6c7ee3e 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -1030,11 +1030,10 @@ PyCompile_OpcodeStackEffect(int opcode, int oparg) return -NARGS(oparg)-1; case CALL_FUNCTION_VAR_KW: return -NARGS(oparg)-2; - case MAKE_FUNCTION: - return -1 -NARGS(oparg) - ((oparg >> 16) & 0xffff); - case MAKE_CLOSURE: - return -2 - NARGS(oparg) - ((oparg >> 16) & 0xffff); #undef NARGS + case MAKE_FUNCTION: + return -1 - ((oparg & 0x01) != 0) - ((oparg & 0x02) != 0) - + ((oparg & 0x04) != 0) - ((oparg & 0x08) != 0); case BUILD_SLICE: if (oparg == 3) return -2; @@ -1472,53 +1471,50 @@ compiler_lookup_arg(PyObject *dict, PyObject *name) } static int -compiler_make_closure(struct compiler *c, PyCodeObject *co, Py_ssize_t args, PyObject *qualname) +compiler_make_closure(struct compiler *c, PyCodeObject *co, Py_ssize_t flags, PyObject *qualname) { Py_ssize_t i, free = PyCode_GetNumFree(co); if (qualname == NULL) qualname = co->co_name; - if (free == 0) { - ADDOP_O(c, LOAD_CONST, (PyObject*)co, consts); - ADDOP_O(c, LOAD_CONST, qualname, consts); - ADDOP_I(c, MAKE_FUNCTION, args); - return 1; - } - for (i = 0; i < free; ++i) { - /* Bypass com_addop_varname because it will generate - LOAD_DEREF but LOAD_CLOSURE is needed. - */ - PyObject *name = PyTuple_GET_ITEM(co->co_freevars, i); - int arg, reftype; - - /* Special case: If a class contains a method with a - free variable that has the same name as a method, - the name will be considered free *and* local in the - class. It should be handled by the closure, as - well as by the normal name loookup logic. - */ - reftype = get_ref_type(c, name); - if (reftype == CELL) - arg = compiler_lookup_arg(c->u->u_cellvars, name); - else /* (reftype == FREE) */ - arg = compiler_lookup_arg(c->u->u_freevars, name); - if (arg == -1) { - fprintf(stderr, - "lookup %s in %s %d %d\n" - "freevars of %s: %s\n", - PyUnicode_AsUTF8(PyObject_Repr(name)), - PyUnicode_AsUTF8(c->u->u_name), - reftype, arg, - PyUnicode_AsUTF8(co->co_name), - PyUnicode_AsUTF8(PyObject_Repr(co->co_freevars))); - Py_FatalError("compiler_make_closure()"); + if (free) { + for (i = 0; i < free; ++i) { + /* Bypass com_addop_varname because it will generate + LOAD_DEREF but LOAD_CLOSURE is needed. + */ + PyObject *name = PyTuple_GET_ITEM(co->co_freevars, i); + int arg, reftype; + + /* Special case: If a class contains a method with a + free variable that has the same name as a method, + the name will be considered free *and* local in the + class. It should be handled by the closure, as + well as by the normal name loookup logic. + */ + reftype = get_ref_type(c, name); + if (reftype == CELL) + arg = compiler_lookup_arg(c->u->u_cellvars, name); + else /* (reftype == FREE) */ + arg = compiler_lookup_arg(c->u->u_freevars, name); + if (arg == -1) { + fprintf(stderr, + "lookup %s in %s %d %d\n" + "freevars of %s: %s\n", + PyUnicode_AsUTF8(PyObject_Repr(name)), + PyUnicode_AsUTF8(c->u->u_name), + reftype, arg, + PyUnicode_AsUTF8(co->co_name), + PyUnicode_AsUTF8(PyObject_Repr(co->co_freevars))); + Py_FatalError("compiler_make_closure()"); + } + ADDOP_I(c, LOAD_CLOSURE, arg); } - ADDOP_I(c, LOAD_CLOSURE, arg); + flags |= 0x08; + ADDOP_I(c, BUILD_TUPLE, free); } - ADDOP_I(c, BUILD_TUPLE, free); ADDOP_O(c, LOAD_CONST, (PyObject*)co, consts); ADDOP_O(c, LOAD_CONST, qualname, consts); - ADDOP_I(c, MAKE_CLOSURE, args); + ADDOP_I(c, MAKE_FUNCTION, flags); return 1; } @@ -1536,27 +1532,59 @@ compiler_decorators(struct compiler *c, asdl_seq* decos) return 1; } -static int +static Py_ssize_t compiler_visit_kwonlydefaults(struct compiler *c, asdl_seq *kwonlyargs, asdl_seq *kw_defaults) { - int i, default_count = 0; + int i; + PyObject *keys = NULL; + for (i = 0; i < asdl_seq_LEN(kwonlyargs); i++) { arg_ty arg = asdl_seq_GET(kwonlyargs, i); expr_ty default_ = asdl_seq_GET(kw_defaults, i); if (default_) { PyObject *mangled = _Py_Mangle(c->u->u_private, arg->arg); - if (!mangled) - return -1; - ADDOP_O(c, LOAD_CONST, mangled, consts); - Py_DECREF(mangled); + if (!mangled) { + goto error; + } + if (keys == NULL) { + keys = PyList_New(1); + if (keys == NULL) { + Py_DECREF(mangled); + return -1; + } + PyList_SET_ITEM(keys, 0, mangled); + } + else { + int res = PyList_Append(keys, mangled); + Py_DECREF(mangled); + if (res == -1) { + goto error; + } + } if (!compiler_visit_expr(c, default_)) { - return -1; + goto error; } - default_count++; } } - return default_count; + if (keys != NULL) { + Py_ssize_t default_count = PyList_GET_SIZE(keys); + PyObject *keys_tuple = PyList_AsTuple(keys); + Py_DECREF(keys); + if (keys_tuple == NULL) { + return -1; + } + ADDOP_N(c, LOAD_CONST, keys_tuple, consts); + ADDOP_I(c, BUILD_CONST_KEY_MAP, default_count); + return default_count; + } + else { + return 0; + } + +error: + Py_XDECREF(keys); + return -1; } static int @@ -1595,15 +1623,14 @@ compiler_visit_argannotations(struct compiler *c, asdl_seq* args, return 1; } -static int +static Py_ssize_t compiler_visit_annotations(struct compiler *c, arguments_ty args, expr_ty returns) { - /* Push arg annotations and a list of the argument names. Return the # - of items pushed. The expressions are evaluated out-of-order wrt the - source code. + /* Push arg annotation dict. Return # of items pushed. + The expressions are evaluated out-of-order wrt the source code. - More than 2^16-1 annotations is a SyntaxError. Returns -1 on error. + Returns -1 on error. */ static identifier return_str; PyObject *names; @@ -1635,38 +1662,47 @@ compiler_visit_annotations(struct compiler *c, arguments_ty args, } len = PyList_GET_SIZE(names); - if (len > 65534) { - /* len must fit in 16 bits, and len is incremented below */ - PyErr_SetString(PyExc_SyntaxError, - "too many annotations"); - goto error; - } if (len) { - /* convert names to a tuple and place on stack */ - PyObject *elt; - Py_ssize_t i; - PyObject *s = PyTuple_New(len); - if (!s) - goto error; - for (i = 0; i < len; i++) { - elt = PyList_GET_ITEM(names, i); - Py_INCREF(elt); - PyTuple_SET_ITEM(s, i, elt); + PyObject *keytuple = PyList_AsTuple(names); + Py_DECREF(names); + if (keytuple == NULL) { + return -1; } - ADDOP_O(c, LOAD_CONST, s, consts); - Py_DECREF(s); - len++; /* include the just-pushed tuple */ + ADDOP_N(c, LOAD_CONST, keytuple, consts); + ADDOP_I(c, BUILD_CONST_KEY_MAP, len); } - Py_DECREF(names); - - /* We just checked that len <= 65535, see above */ - return Py_SAFE_DOWNCAST(len, Py_ssize_t, int); + else { + Py_DECREF(names); + } + return len; error: Py_DECREF(names); return -1; } +static Py_ssize_t +compiler_default_arguments(struct compiler *c, arguments_ty args) +{ + Py_ssize_t funcflags = 0; + if (args->defaults && asdl_seq_LEN(args->defaults) > 0) { + VISIT_SEQ(c, expr, args->defaults); + ADDOP_I(c, BUILD_TUPLE, asdl_seq_LEN(args->defaults)); + funcflags |= 0x01; + } + if (args->kwonlyargs) { + Py_ssize_t res = compiler_visit_kwonlydefaults(c, args->kwonlyargs, + args->kw_defaults); + if (res < 0) { + return -1; + } + else if (res > 0) { + funcflags |= 0x02; + } + } + return funcflags; +} + static int compiler_function(struct compiler *c, stmt_ty s, int is_async) { @@ -1678,12 +1714,11 @@ compiler_function(struct compiler *c, stmt_ty s, int is_async) asdl_seq* decos; asdl_seq *body; stmt_ty st; - Py_ssize_t i, n, arglength; - int docstring, kw_default_count = 0; + Py_ssize_t i, n, funcflags; + int docstring; int num_annotations; int scope_type; - if (is_async) { assert(s->kind == AsyncFunctionDef_kind); @@ -1708,24 +1743,23 @@ compiler_function(struct compiler *c, stmt_ty s, int is_async) if (!compiler_decorators(c, decos)) return 0; - if (args->defaults) - VISIT_SEQ(c, expr, args->defaults); - if (args->kwonlyargs) { - int res = compiler_visit_kwonlydefaults(c, args->kwonlyargs, - args->kw_defaults); - if (res < 0) - return 0; - kw_default_count = res; + + funcflags = compiler_default_arguments(c, args); + if (funcflags == -1) { + return 0; } + num_annotations = compiler_visit_annotations(c, args, returns); - if (num_annotations < 0) + if (num_annotations < 0) { return 0; - assert((num_annotations & 0xFFFF) == num_annotations); + } + else if (num_annotations > 0) { + funcflags |= 0x04; + } - if (!compiler_enter_scope(c, name, - scope_type, (void *)s, - s->lineno)) + if (!compiler_enter_scope(c, name, scope_type, (void *)s, s->lineno)) { return 0; + } st = (stmt_ty)asdl_seq_GET(body, 0); docstring = compiler_isdocstring(st); @@ -1758,12 +1792,9 @@ compiler_function(struct compiler *c, stmt_ty s, int is_async) return 0; } - arglength = asdl_seq_LEN(args->defaults); - arglength |= kw_default_count << 8; - arglength |= num_annotations << 16; if (is_async) co->co_flags |= CO_COROUTINE; - compiler_make_closure(c, co, arglength, qualname); + compiler_make_closure(c, co, funcflags, qualname); Py_DECREF(qualname); Py_DECREF(co); @@ -1923,8 +1954,7 @@ compiler_lambda(struct compiler *c, expr_ty e) PyCodeObject *co; PyObject *qualname; static identifier name; - int kw_default_count = 0; - Py_ssize_t arglength; + Py_ssize_t funcflags; arguments_ty args = e->v.Lambda.args; assert(e->kind == Lambda_kind); @@ -1934,14 +1964,11 @@ compiler_lambda(struct compiler *c, expr_ty e) return 0; } - if (args->defaults) - VISIT_SEQ(c, expr, args->defaults); - if (args->kwonlyargs) { - int res = compiler_visit_kwonlydefaults(c, args->kwonlyargs, - args->kw_defaults); - if (res < 0) return 0; - kw_default_count = res; + funcflags = compiler_default_arguments(c, args); + if (funcflags == -1) { + return 0; } + if (!compiler_enter_scope(c, name, COMPILER_SCOPE_LAMBDA, (void *)e, e->lineno)) return 0; @@ -1967,9 +1994,7 @@ compiler_lambda(struct compiler *c, expr_ty e) if (co == NULL) return 0; - arglength = asdl_seq_LEN(args->defaults); - arglength |= kw_default_count << 8; - compiler_make_closure(c, co, arglength, qualname); + compiler_make_closure(c, co, funcflags, qualname); Py_DECREF(qualname); Py_DECREF(co); diff --git a/Python/importlib.h b/Python/importlib.h index 360e9b6caf..e3364b3fa8 100644 --- a/Python/importlib.h +++ b/Python/importlib.h @@ -1,7 +1,7 @@ /* Auto-generated by Programs/_freeze_importlib.c */ const unsigned char _Py_M__importlib[] = { - 99,0,0,0,0,0,0,0,0,0,0,0,0,6,0,0, - 0,64,0,0,0,115,220,1,0,0,100,0,90,0,100,1, + 99,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0, + 0,64,0,0,0,115,216,1,0,0,100,0,90,0,100,1, 97,1,100,2,100,3,132,0,90,2,100,4,100,5,132,0, 90,3,71,0,100,6,100,7,132,0,100,7,131,2,90,4, 105,0,90,5,105,0,90,6,71,0,100,8,100,9,132,0, @@ -9,912 +9,912 @@ const unsigned char _Py_M__importlib[] = { 100,11,131,2,90,9,71,0,100,12,100,13,132,0,100,13, 131,2,90,10,71,0,100,14,100,15,132,0,100,15,131,2, 90,11,100,16,100,17,132,0,90,12,100,18,100,19,132,0, - 90,13,100,20,100,21,132,0,90,14,100,22,100,23,100,24, - 100,25,144,1,132,0,90,15,100,26,100,27,132,0,90,16, + 90,13,100,20,100,21,132,0,90,14,100,22,100,23,156,1, + 100,24,100,25,132,2,90,15,100,26,100,27,132,0,90,16, 100,28,100,29,132,0,90,17,100,30,100,31,132,0,90,18, 100,32,100,33,132,0,90,19,71,0,100,34,100,35,132,0, 100,35,131,2,90,20,71,0,100,36,100,37,132,0,100,37, - 131,2,90,21,100,38,100,1,100,39,100,1,100,40,100,41, - 144,2,132,0,90,22,101,23,131,0,90,24,100,1,100,1, - 100,42,100,43,132,2,90,25,100,44,100,45,100,46,100,47, - 144,1,132,0,90,26,100,48,100,49,132,0,90,27,100,50, - 100,51,132,0,90,28,100,52,100,53,132,0,90,29,100,54, - 100,55,132,0,90,30,100,56,100,57,132,0,90,31,100,58, - 100,59,132,0,90,32,71,0,100,60,100,61,132,0,100,61, - 131,2,90,33,71,0,100,62,100,63,132,0,100,63,131,2, - 90,34,71,0,100,64,100,65,132,0,100,65,131,2,90,35, - 100,66,100,67,132,0,90,36,100,68,100,69,132,0,90,37, - 100,1,100,70,100,71,132,1,90,38,100,72,100,73,132,0, - 90,39,100,74,90,40,101,40,100,75,23,0,90,41,100,76, - 100,77,132,0,90,42,100,78,100,79,132,0,90,43,100,1, - 100,80,100,81,100,82,132,2,90,44,100,83,100,84,132,0, - 90,45,100,85,100,86,132,0,90,46,100,1,100,1,102,0, - 100,80,100,87,100,88,132,4,90,47,100,89,100,90,132,0, - 90,48,100,91,100,92,132,0,90,49,100,93,100,94,132,0, - 90,50,100,1,83,0,41,95,97,83,1,0,0,67,111,114, - 101,32,105,109,112,108,101,109,101,110,116,97,116,105,111,110, - 32,111,102,32,105,109,112,111,114,116,46,10,10,84,104,105, - 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, - 109,111,100,117,108,101,115,32,97,110,100,32,97,116,116,114, - 105,98,117,116,101,115,32,105,110,32,111,114,100,101,114,32, - 116,111,10,119,111,114,107,46,32,79,110,101,32,115,104,111, - 117,108,100,32,117,115,101,32,105,109,112,111,114,116,108,105, - 98,32,97,115,32,116,104,101,32,112,117,98,108,105,99,45, - 102,97,99,105,110,103,32,118,101,114,115,105,111,110,32,111, - 102,32,116,104,105,115,32,109,111,100,117,108,101,46,10,10, - 78,99,2,0,0,0,0,0,0,0,3,0,0,0,7,0, - 0,0,67,0,0,0,115,60,0,0,0,120,40,100,6,68, - 0,93,32,125,2,116,0,124,1,124,2,131,2,114,6,116, - 1,124,0,124,2,116,2,124,1,124,2,131,2,131,3,1, - 0,113,6,87,0,124,0,106,3,106,4,124,1,106,3,131, - 1,1,0,100,5,83,0,41,7,122,47,83,105,109,112,108, - 101,32,115,117,98,115,116,105,116,117,116,101,32,102,111,114, - 32,102,117,110,99,116,111,111,108,115,46,117,112,100,97,116, - 101,95,119,114,97,112,112,101,114,46,218,10,95,95,109,111, - 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, - 95,95,100,111,99,95,95,78,41,4,122,10,95,95,109,111, - 100,117,108,101,95,95,122,8,95,95,110,97,109,101,95,95, - 122,12,95,95,113,117,97,108,110,97,109,101,95,95,122,7, - 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, - 108,100,218,7,114,101,112,108,97,99,101,169,0,114,10,0, - 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, - 0,0,2,10,1,10,1,22,1,114,12,0,0,0,99,1, - 0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,67, - 0,0,0,115,12,0,0,0,116,0,116,1,131,1,124,0, - 131,1,83,0,41,1,78,41,2,218,4,116,121,112,101,218, - 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, - 0,0,1,114,16,0,0,0,99,0,0,0,0,0,0,0, - 0,0,0,0,0,2,0,0,0,64,0,0,0,115,40,0, - 0,0,101,0,90,1,100,0,90,2,100,1,90,3,100,2, - 100,3,132,0,90,4,100,4,100,5,132,0,90,5,100,6, - 100,7,132,0,90,6,100,8,83,0,41,9,218,13,95,77, - 97,110,97,103,101,82,101,108,111,97,100,122,63,77,97,110, - 97,103,101,115,32,116,104,101,32,112,111,115,115,105,98,108, - 101,32,99,108,101,97,110,45,117,112,32,111,102,32,115,121, - 115,46,109,111,100,117,108,101,115,32,102,111,114,32,108,111, - 97,100,95,109,111,100,117,108,101,40,41,46,99,2,0,0, - 0,0,0,0,0,2,0,0,0,2,0,0,0,67,0,0, - 0,115,10,0,0,0,124,1,124,0,95,0,100,0,83,0, - 41,1,78,41,1,218,5,95,110,97,109,101,41,2,218,4, - 115,101,108,102,114,15,0,0,0,114,10,0,0,0,114,10, - 0,0,0,114,11,0,0,0,218,8,95,95,105,110,105,116, - 95,95,43,0,0,0,115,2,0,0,0,0,1,122,22,95, - 77,97,110,97,103,101,82,101,108,111,97,100,46,95,95,105, + 131,2,90,21,100,1,100,1,100,38,156,2,100,39,100,40, + 132,2,90,22,101,23,131,0,90,24,100,94,100,41,100,42, + 132,1,90,25,100,43,100,44,156,1,100,45,100,46,132,2, + 90,26,100,47,100,48,132,0,90,27,100,49,100,50,132,0, + 90,28,100,51,100,52,132,0,90,29,100,53,100,54,132,0, + 90,30,100,55,100,56,132,0,90,31,100,57,100,58,132,0, + 90,32,71,0,100,59,100,60,132,0,100,60,131,2,90,33, + 71,0,100,61,100,62,132,0,100,62,131,2,90,34,71,0, + 100,63,100,64,132,0,100,64,131,2,90,35,100,65,100,66, + 132,0,90,36,100,67,100,68,132,0,90,37,100,95,100,69, + 100,70,132,1,90,38,100,71,100,72,132,0,90,39,100,73, + 90,40,101,40,100,74,23,0,90,41,100,75,100,76,132,0, + 90,42,100,77,100,78,132,0,90,43,100,96,100,80,100,81, + 132,1,90,44,100,82,100,83,132,0,90,45,100,84,100,85, + 132,0,90,46,100,1,100,1,102,0,100,79,102,4,100,86, + 100,87,132,1,90,47,100,88,100,89,132,0,90,48,100,90, + 100,91,132,0,90,49,100,92,100,93,132,0,90,50,100,1, + 83,0,41,97,97,83,1,0,0,67,111,114,101,32,105,109, + 112,108,101,109,101,110,116,97,116,105,111,110,32,111,102,32, + 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, + 108,101,115,32,97,110,100,32,97,116,116,114,105,98,117,116, + 101,115,32,105,110,32,111,114,100,101,114,32,116,111,10,119, + 111,114,107,46,32,79,110,101,32,115,104,111,117,108,100,32, + 117,115,101,32,105,109,112,111,114,116,108,105,98,32,97,115, + 32,116,104,101,32,112,117,98,108,105,99,45,102,97,99,105, + 110,103,32,118,101,114,115,105,111,110,32,111,102,32,116,104, + 105,115,32,109,111,100,117,108,101,46,10,10,78,99,2,0, + 0,0,0,0,0,0,3,0,0,0,7,0,0,0,67,0, + 0,0,115,60,0,0,0,120,40,100,6,68,0,93,32,125, + 2,116,0,124,1,124,2,131,2,114,6,116,1,124,0,124, + 2,116,2,124,1,124,2,131,2,131,3,1,0,113,6,87, + 0,124,0,106,3,106,4,124,1,106,3,131,1,1,0,100, + 5,83,0,41,7,122,47,83,105,109,112,108,101,32,115,117, + 98,115,116,105,116,117,116,101,32,102,111,114,32,102,117,110, + 99,116,111,111,108,115,46,117,112,100,97,116,101,95,119,114, + 97,112,112,101,114,46,218,10,95,95,109,111,100,117,108,101, + 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, + 99,95,95,78,41,4,122,10,95,95,109,111,100,117,108,101, + 95,95,122,8,95,95,110,97,109,101,95,95,122,12,95,95, + 113,117,97,108,110,97,109,101,95,95,122,7,95,95,100,111, + 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, + 116,101,41,3,90,3,110,101,119,90,3,111,108,100,218,7, + 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, + 119,114,97,112,27,0,0,0,115,8,0,0,0,0,2,10, + 1,10,1,22,1,114,12,0,0,0,99,1,0,0,0,0, + 0,0,0,1,0,0,0,2,0,0,0,67,0,0,0,115, + 12,0,0,0,116,0,116,1,131,1,124,0,131,1,83,0, + 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, + 16,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, + 0,2,0,0,0,64,0,0,0,115,40,0,0,0,101,0, + 90,1,100,0,90,2,100,1,90,3,100,2,100,3,132,0, + 90,4,100,4,100,5,132,0,90,5,100,6,100,7,132,0, + 90,6,100,8,83,0,41,9,218,13,95,77,97,110,97,103, + 101,82,101,108,111,97,100,122,63,77,97,110,97,103,101,115, + 32,116,104,101,32,112,111,115,115,105,98,108,101,32,99,108, + 101,97,110,45,117,112,32,111,102,32,115,121,115,46,109,111, + 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0,0,0,0,0,0,0,2,0,0,0,64,0,0,0,115, - 56,0,0,0,101,0,90,1,100,0,90,2,100,1,90,3, - 100,2,100,3,132,0,90,4,100,4,100,5,132,0,90,5, - 100,6,100,7,132,0,90,6,100,8,100,9,132,0,90,7, - 100,10,100,11,132,0,90,8,100,12,83,0,41,13,218,11, - 95,77,111,100,117,108,101,76,111,99,107,122,169,65,32,114, - 101,99,117,114,115,105,118,101,32,108,111,99,107,32,105,109, - 112,108,101,109,101,110,116,97,116,105,111,110,32,119,104,105, - 99,104,32,105,115,32,97,98,108,101,32,116,111,32,100,101, - 116,101,99,116,32,100,101,97,100,108,111,99,107,115,10,32, - 32,32,32,40,101,46,103,46,32,116,104,114,101,97,100,32, - 49,32,116,114,121,105,110,103,32,116,111,32,116,97,107,101, - 32,108,111,99,107,115,32,65,32,116,104,101,110,32,66,44, - 32,97,110,100,32,116,104,114,101,97,100,32,50,32,116,114, - 121,105,110,103,32,116,111,10,32,32,32,32,116,97,107,101, - 32,108,111,99,107,115,32,66,32,116,104,101,110,32,65,41, - 46,10,32,32,32,32,99,2,0,0,0,0,0,0,0,2, - 0,0,0,2,0,0,0,67,0,0,0,115,48,0,0,0, - 116,0,106,1,131,0,124,0,95,2,116,0,106,1,131,0, - 124,0,95,3,124,1,124,0,95,4,100,0,124,0,95,5, - 100,1,124,0,95,6,100,1,124,0,95,7,100,0,83,0, - 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, - 114,15,0,0,0,218,5,111,119,110,101,114,218,5,99,111, - 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, - 115,12,0,0,0,0,1,10,1,10,1,6,1,6,1,6, - 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, - 4,0,0,0,2,0,0,0,67,0,0,0,115,64,0,0, - 0,116,0,106,1,131,0,125,1,124,0,106,2,125,2,120, - 44,116,3,106,4,124,2,131,1,125,3,124,3,100,0,107, - 8,114,38,100,1,83,0,124,3,106,2,125,2,124,2,124, - 1,107,2,114,16,100,2,83,0,113,16,87,0,100,0,83, - 0,41,3,78,70,84,41,5,114,34,0,0,0,218,9,103, - 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, - 114,35,0,0,0,114,10,0,0,0,114,10,0,0,0,114, - 11,0,0,0,218,12,104,97,115,95,100,101,97,100,108,111, - 99,107,82,0,0,0,115,18,0,0,0,0,2,8,1,6, - 1,2,1,10,1,8,1,4,1,6,1,8,1,122,24,95, - 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, - 2,0,0,0,16,0,0,0,67,0,0,0,115,168,0,0, - 0,116,0,106,1,131,0,125,1,124,0,116,2,124,1,60, - 0,122,138,120,132,124,0,106,3,143,96,1,0,124,0,106, - 4,100,1,107,2,115,48,124,0,106,5,124,1,107,2,114, - 72,124,1,124,0,95,5,124,0,4,0,106,4,100,2,55, - 0,2,0,95,4,100,3,83,0,124,0,106,6,131,0,114, - 92,116,7,100,4,124,0,22,0,131,1,130,1,124,0,106, - 8,106,9,100,5,131,1,114,118,124,0,4,0,106,10,100, - 2,55,0,2,0,95,10,87,0,100,6,81,0,82,0,88, - 0,124,0,106,8,106,9,131,0,1,0,124,0,106,8,106, - 11,131,0,1,0,113,20,87,0,87,0,100,6,116,2,124, - 1,61,0,88,0,100,6,83,0,41,7,122,185,10,32,32, - 32,32,32,32,32,32,65,99,113,117,105,114,101,32,116,104, - 101,32,109,111,100,117,108,101,32,108,111,99,107,46,32,32, - 73,102,32,97,32,112,111,116,101,110,116,105,97,108,32,100, - 101,97,100,108,111,99,107,32,105,115,32,100,101,116,101,99, - 116,101,100,44,10,32,32,32,32,32,32,32,32,97,32,95, - 68,101,97,100,108,111,99,107,69,114,114,111,114,32,105,115, - 32,114,97,105,115,101,100,46,10,32,32,32,32,32,32,32, - 32,79,116,104,101,114,119,105,115,101,44,32,116,104,101,32, - 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, - 32,32,32,32,32,32,114,33,0,0,0,233,1,0,0,0, - 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, - 115,101,41,2,114,19,0,0,0,114,43,0,0,0,114,10, - 0,0,0,114,10,0,0,0,114,11,0,0,0,114,46,0, - 0,0,94,0,0,0,115,32,0,0,0,0,6,8,1,8, - 1,2,1,2,1,8,1,20,1,6,1,14,1,4,1,8, - 1,12,1,12,1,24,2,10,1,18,2,122,19,95,77,111, - 100,117,108,101,76,111,99,107,46,97,99,113,117,105,114,101, - 99,1,0,0,0,0,0,0,0,2,0,0,0,10,0,0, - 0,67,0,0,0,115,122,0,0,0,116,0,106,1,131,0, - 125,1,124,0,106,2,143,98,1,0,124,0,106,3,124,1, - 107,3,114,34,116,4,100,1,131,1,130,1,124,0,106,5, - 100,2,107,4,115,48,116,6,130,1,124,0,4,0,106,5, - 100,3,56,0,2,0,95,5,124,0,106,5,100,2,107,2, - 114,108,100,0,124,0,95,3,124,0,106,7,114,108,124,0, - 4,0,106,7,100,3,56,0,2,0,95,7,124,0,106,8, - 106,9,131,0,1,0,87,0,100,0,81,0,82,0,88,0, - 100,0,83,0,41,4,78,122,31,99,97,110,110,111,116,32, - 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, - 101,69,114,114,111,114,114,38,0,0,0,218,14,65,115,115, - 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, - 0,0,0,0,1,8,1,8,1,10,1,8,1,14,1,14, - 1,10,1,6,1,6,1,14,1,122,19,95,77,111,100,117, - 108,101,76,111,99,107,46,114,101,108,101,97,115,101,99,1, - 0,0,0,0,0,0,0,1,0,0,0,4,0,0,0,67, - 0,0,0,115,18,0,0,0,100,1,106,0,124,0,106,1, - 116,2,124,0,131,1,131,2,83,0,41,2,78,122,23,95, - 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, - 114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,218, - 8,95,95,114,101,112,114,95,95,132,0,0,0,115,2,0, - 0,0,0,1,122,20,95,77,111,100,117,108,101,76,111,99, - 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, - 0,0,0,68,0,0,0,115,12,0,0,0,8,4,4,2, - 8,8,8,12,8,25,8,13,114,32,0,0,0,99,0,0, - 0,0,0,0,0,0,0,0,0,0,2,0,0,0,64,0, - 0,0,115,48,0,0,0,101,0,90,1,100,0,90,2,100, - 1,90,3,100,2,100,3,132,0,90,4,100,4,100,5,132, - 0,90,5,100,6,100,7,132,0,90,6,100,8,100,9,132, - 0,90,7,100,10,83,0,41,11,218,16,95,68,117,109,109, - 121,77,111,100,117,108,101,76,111,99,107,122,86,65,32,115, - 105,109,112,108,101,32,95,77,111,100,117,108,101,76,111,99, - 107,32,101,113,117,105,118,97,108,101,110,116,32,102,111,114, - 32,80,121,116,104,111,110,32,98,117,105,108,100,115,32,119, - 105,116,104,111,117,116,10,32,32,32,32,109,117,108,116,105, - 45,116,104,114,101,97,100,105,110,103,32,115,117,112,112,111, - 114,116,46,99,2,0,0,0,0,0,0,0,2,0,0,0, - 2,0,0,0,67,0,0,0,115,16,0,0,0,124,1,124, - 0,95,0,100,1,124,0,95,1,100,0,83,0,41,2,78, - 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, - 0,140,0,0,0,115,4,0,0,0,0,1,6,1,122,25, - 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, - 0,0,1,0,0,0,3,0,0,0,67,0,0,0,115,18, - 0,0,0,124,0,4,0,106,0,100,1,55,0,2,0,95, - 0,100,2,83,0,41,3,78,114,45,0,0,0,84,41,1, - 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, - 144,0,0,0,115,4,0,0,0,0,1,14,1,122,24,95, - 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, - 1,0,0,0,3,0,0,0,67,0,0,0,115,36,0,0, - 0,124,0,106,0,100,1,107,2,114,18,116,1,100,2,131, - 1,130,1,124,0,4,0,106,0,100,3,56,0,2,0,95, - 0,100,0,83,0,41,4,78,114,33,0,0,0,122,31,99, - 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, - 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0,0,114,11,0,0,0,114,46,0,0,0,144,0,0,0, + 115,4,0,0,0,0,1,14,1,122,24,95,68,117,109,109, + 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, + 3,0,0,0,67,0,0,0,115,36,0,0,0,124,0,106, + 0,100,1,107,2,114,18,116,1,100,2,131,1,130,1,124, + 0,4,0,106,0,100,3,56,0,2,0,95,0,100,0,83, + 0,41,4,78,114,33,0,0,0,122,31,99,97,110,110,111, + 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, - 0,114,53,0,0,0,136,0,0,0,115,10,0,0,0,8, - 2,4,2,8,4,8,4,8,5,114,53,0,0,0,99,0, - 0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,64, - 0,0,0,115,36,0,0,0,101,0,90,1,100,0,90,2, - 100,1,100,2,132,0,90,3,100,3,100,4,132,0,90,4, - 100,5,100,6,132,0,90,5,100,7,83,0,41,8,218,18, - 95,77,111,100,117,108,101,76,111,99,107,77,97,110,97,103, - 101,114,99,2,0,0,0,0,0,0,0,2,0,0,0,2, - 0,0,0,67,0,0,0,115,16,0,0,0,124,1,124,0, - 95,0,100,0,124,0,95,1,100,0,83,0,41,1,78,41, - 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, - 0,115,4,0,0,0,0,1,6,1,122,27,95,77,111,100, - 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, - 1,0,0,0,10,0,0,0,67,0,0,0,115,42,0,0, - 0,122,16,116,0,124,0,106,1,131,1,124,0,95,2,87, - 0,100,0,116,3,106,4,131,0,1,0,88,0,124,0,106, - 2,106,5,131,0,1,0,100,0,83,0,41,1,78,41,6, - 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, - 163,0,0,0,115,8,0,0,0,0,1,2,1,16,2,10, - 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, - 79,0,0,0,115,14,0,0,0,124,0,106,0,106,1,131, - 0,1,0,100,0,83,0,41,1,78,41,2,114,55,0,0, - 0,114,47,0,0,0,41,3,114,19,0,0,0,114,29,0, - 0,0,90,6,107,119,97,114,103,115,114,10,0,0,0,114, - 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, - 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, - 157,0,0,0,115,6,0,0,0,8,2,8,4,8,7,114, - 54,0,0,0,99,1,0,0,0,0,0,0,0,3,0,0, - 0,11,0,0,0,3,0,0,0,115,106,0,0,0,100,1, - 125,1,121,14,116,0,136,0,25,0,131,0,125,1,87,0, - 110,20,4,0,116,1,107,10,114,38,1,0,1,0,1,0, - 89,0,110,2,88,0,124,1,100,1,107,8,114,102,116,2, - 100,1,107,8,114,66,116,3,136,0,131,1,125,1,110,8, - 116,4,136,0,131,1,125,1,135,0,102,1,100,2,100,3, - 134,0,125,2,116,5,106,6,124,1,124,2,131,2,116,0, - 136,0,60,0,124,1,83,0,41,4,122,109,71,101,116,32, - 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114,10,0,0,0,41,1,114,15,0,0,0,114,11,0,0, - 0,114,56,0,0,0,176,0,0,0,115,24,0,0,0,0, - 4,4,1,2,1,14,1,14,1,6,1,8,1,8,1,10, - 2,8,1,12,2,16,1,114,56,0,0,0,99,1,0,0, - 0,0,0,0,0,2,0,0,0,11,0,0,0,67,0,0, - 0,115,62,0,0,0,116,0,124,0,131,1,125,1,116,1, - 106,2,131,0,1,0,121,12,124,1,106,3,131,0,1,0, - 87,0,110,20,4,0,116,4,107,10,114,48,1,0,1,0, - 1,0,89,0,110,10,88,0,124,1,106,5,131,0,1,0, - 100,1,83,0,41,2,97,21,1,0,0,82,101,108,101,97, - 115,101,32,116,104,101,32,103,108,111,98,97,108,32,105,109, - 112,111,114,116,32,108,111,99,107,44,32,97,110,100,32,97, - 99,113,117,105,114,101,115,32,116,104,101,110,32,114,101,108, - 101,97,115,101,32,116,104,101,10,32,32,32,32,109,111,100, - 117,108,101,32,108,111,99,107,32,102,111,114,32,97,32,103, - 105,118,101,110,32,109,111,100,117,108,101,32,110,97,109,101, - 46,10,32,32,32,32,84,104,105,115,32,105,115,32,117,115, - 101,100,32,116,111,32,101,110,115,117,114,101,32,97,32,109, - 111,100,117,108,101,32,105,115,32,99,111,109,112,108,101,116, - 101,108,121,32,105,110,105,116,105,97,108,105,122,101,100,44, - 32,105,110,32,116,104,101,10,32,32,32,32,101,118,101,110, - 116,32,105,116,32,105,115,32,98,101,105,110,103,32,105,109, - 112,111,114,116,101,100,32,98,121,32,97,110,111,116,104,101, - 114,32,116,104,114,101,97,100,46,10,10,32,32,32,32,83, - 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, - 0,0,114,10,0,0,0,114,11,0,0,0,218,19,95,108, - 111,99,107,95,117,110,108,111,99,107,95,109,111,100,117,108, - 101,195,0,0,0,115,14,0,0,0,0,7,8,1,8,1, - 2,1,12,1,14,3,6,2,114,63,0,0,0,99,1,0, - 0,0,0,0,0,0,3,0,0,0,3,0,0,0,79,0, - 0,0,115,10,0,0,0,124,0,124,1,124,2,142,0,83, - 0,41,1,97,46,1,0,0,114,101,109,111,118,101,95,105, - 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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, - 114,29,0,0,0,90,4,107,119,100,115,114,10,0,0,0, - 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, - 114,45,0,0,0,99,1,0,0,0,1,0,0,0,3,0, - 0,0,4,0,0,0,71,0,0,0,115,56,0,0,0,116, - 0,106,1,106,2,124,1,107,5,114,52,124,0,106,3,100, - 6,131,1,115,30,100,3,124,0,23,0,125,0,116,4,124, - 0,106,5,124,2,140,0,100,4,116,0,106,6,144,1,131, - 1,1,0,100,5,83,0,41,7,122,61,80,114,105,110,116, - 32,116,104,101,32,109,101,115,115,97,103,101,32,116,111,32, - 115,116,100,101,114,114,32,105,102,32,45,118,47,80,89,84, - 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, - 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0,65,1,0,0,115,18,0,0,0,0,1,2,1,6,1, + 18,1,2,1,14,1,14,1,8,2,20,2,122,26,95,105, 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, - 0,0,3,0,0,0,17,0,0,0,71,0,0,0,115,98, - 0,0,0,122,82,124,0,106,0,125,2,116,1,100,1,100, - 2,132,0,124,1,68,0,131,1,131,1,114,64,121,14,116, - 2,106,3,124,2,106,4,61,0,87,0,113,80,4,0,116, - 5,107,10,114,60,1,0,1,0,1,0,89,0,113,80,88, - 0,110,16,116,6,100,3,124,2,106,4,124,2,106,7,131, - 3,1,0,87,0,100,0,100,4,124,0,106,0,95,8,88, - 0,100,0,83,0,41,5,78,99,1,0,0,0,0,0,0, - 0,2,0,0,0,3,0,0,0,115,0,0,0,115,22,0, - 0,0,124,0,93,14,125,1,124,1,100,0,107,9,86,0, - 1,0,113,2,100,0,83,0,41,1,78,114,10,0,0,0, - 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, - 68,1,0,0,115,2,0,0,0,4,0,122,45,95,105,110, - 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, - 0,0,0,65,1,0,0,115,18,0,0,0,0,1,2,1, - 6,1,18,1,2,1,14,1,14,1,8,2,20,2,122,26, - 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, - 102,0,0,0,52,1,0,0,115,6,0,0,0,8,2,8, - 4,8,7,114,102,0,0,0,99,0,0,0,0,0,0,0, - 0,0,0,0,0,8,0,0,0,64,0,0,0,115,118,0, - 0,0,101,0,90,1,100,0,90,2,100,1,90,3,100,2, - 100,3,100,4,100,3,100,5,100,3,100,6,100,7,144,3, - 132,0,90,4,100,8,100,9,132,0,90,5,100,10,100,11, - 132,0,90,6,101,7,100,12,100,13,132,0,131,1,90,8, - 101,8,106,9,100,14,100,13,132,0,131,1,90,8,101,7, - 100,15,100,16,132,0,131,1,90,10,101,7,100,17,100,18, - 132,0,131,1,90,11,101,11,106,9,100,19,100,18,132,0, - 131,1,90,11,100,3,83,0,41,20,218,10,77,111,100,117, - 108,101,83,112,101,99,97,208,5,0,0,84,104,101,32,115, - 112,101,99,105,102,105,99,97,116,105,111,110,32,102,111,114, - 32,97,32,109,111,100,117,108,101,44,32,117,115,101,100,32, - 102,111,114,32,108,111,97,100,105,110,103,46,10,10,32,32, - 32,32,65,32,109,111,100,117,108,101,39,115,32,115,112,101, - 99,32,105,115,32,116,104,101,32,115,111,117,114,99,101,32, - 102,111,114,32,105,110,102,111,114,109,97,116,105,111,110,32, - 97,98,111,117,116,32,116,104,101,32,109,111,100,117,108,101, - 46,32,32,70,111,114,10,32,32,32,32,100,97,116,97,32, - 97,115,115,111,99,105,97,116,101,100,32,119,105,116,104,32, - 116,104,101,32,109,111,100,117,108,101,44,32,105,110,99,108, - 117,100,105,110,103,32,115,111,117,114,99,101,44,32,117,115, - 101,32,116,104,101,32,115,112,101,99,39,115,10,32,32,32, - 32,108,111,97,100,101,114,46,10,10,32,32,32,32,96,110, - 97,109,101,96,32,105,115,32,116,104,101,32,97,98,115,111, - 108,117,116,101,32,110,97,109,101,32,111,102,32,116,104,101, - 32,109,111,100,117,108,101,46,32,32,96,108,111,97,100,101, - 114,96,32,105,115,32,116,104,101,32,108,111,97,100,101,114, - 10,32,32,32,32,116,111,32,117,115,101,32,119,104,101,110, - 32,108,111,97,100,105,110,103,32,116,104,101,32,109,111,100, - 117,108,101,46,32,32,96,112,97,114,101,110,116,96,32,105, - 115,32,116,104,101,32,110,97,109,101,32,111,102,32,116,104, - 101,10,32,32,32,32,112,97,99,107,97,103,101,32,116,104, - 101,32,109,111,100,117,108,101,32,105,115,32,105,110,46,32, - 32,84,104,101,32,112,97,114,101,110,116,32,105,115,32,100, - 101,114,105,118,101,100,32,102,114,111,109,32,116,104,101,32, - 110,97,109,101,46,10,10,32,32,32,32,96,105,115,95,112, - 97,99,107,97,103,101,96,32,100,101,116,101,114,109,105,110, - 101,115,32,105,102,32,116,104,101,32,109,111,100,117,108,101, - 32,105,115,32,99,111,110,115,105,100,101,114,101,100,32,97, - 32,112,97,99,107,97,103,101,32,111,114,10,32,32,32,32, - 110,111,116,46,32,32,79,110,32,109,111,100,117,108,101,115, - 32,116,104,105,115,32,105,115,32,114,101,102,108,101,99,116, - 101,100,32,98,121,32,116,104,101,32,96,95,95,112,97,116, - 104,95,95,96,32,97,116,116,114,105,98,117,116,101,46,10, - 10,32,32,32,32,96,111,114,105,103,105,110,96,32,105,115, - 32,116,104,101,32,115,112,101,99,105,102,105,99,32,108,111, - 99,97,116,105,111,110,32,117,115,101,100,32,98,121,32,116, - 104,101,32,108,111,97,100,101,114,32,102,114,111,109,32,119, - 104,105,99,104,32,116,111,10,32,32,32,32,108,111,97,100, - 32,116,104,101,32,109,111,100,117,108,101,44,32,105,102,32, - 116,104,97,116,32,105,110,102,111,114,109,97,116,105,111,110, - 32,105,115,32,97,118,97,105,108,97,98,108,101,46,32,32, - 87,104,101,110,32,102,105,108,101,110,97,109,101,32,105,115, - 10,32,32,32,32,115,101,116,44,32,111,114,105,103,105,110, - 32,119,105,108,108,32,109,97,116,99,104,46,10,10,32,32, - 32,32,96,104,97,115,95,108,111,99,97,116,105,111,110,96, - 32,105,110,100,105,99,97,116,101,115,32,116,104,97,116,32, - 97,32,115,112,101,99,39,115,32,34,111,114,105,103,105,110, - 34,32,114,101,102,108,101,99,116,115,32,97,32,108,111,99, - 97,116,105,111,110,46,10,32,32,32,32,87,104,101,110,32, - 116,104,105,115,32,105,115,32,84,114,117,101,44,32,96,95, - 95,102,105,108,101,95,95,96,32,97,116,116,114,105,98,117, - 116,101,32,111,102,32,116,104,101,32,109,111,100,117,108,101, - 32,105,115,32,115,101,116,46,10,10,32,32,32,32,96,99, - 97,99,104,101,100,96,32,105,115,32,116,104,101,32,108,111, - 99,97,116,105,111,110,32,111,102,32,116,104,101,32,99,97, - 99,104,101,100,32,98,121,116,101,99,111,100,101,32,102,105, - 108,101,44,32,105,102,32,97,110,121,46,32,32,73,116,10, - 32,32,32,32,99,111,114,114,101,115,112,111,110,100,115,32, - 116,111,32,116,104,101,32,96,95,95,99,97,99,104,101,100, - 95,95,96,32,97,116,116,114,105,98,117,116,101,46,10,10, - 32,32,32,32,96,115,117,98,109,111,100,117,108,101,95,115, - 101,97,114,99,104,95,108,111,99,97,116,105,111,110,115,96, - 32,105,115,32,116,104,101,32,115,101,113,117,101,110,99,101, - 32,111,102,32,112,97,116,104,32,101,110,116,114,105,101,115, - 32,116,111,10,32,32,32,32,115,101,97,114,99,104,32,119, - 104,101,110,32,105,109,112,111,114,116,105,110,103,32,115,117, - 98,109,111,100,117,108,101,115,46,32,32,73,102,32,115,101, - 116,44,32,105,115,95,112,97,99,107,97,103,101,32,115,104, - 111,117,108,100,32,98,101,10,32,32,32,32,84,114,117,101, - 45,45,97,110,100,32,70,97,108,115,101,32,111,116,104,101, - 114,119,105,115,101,46,10,10,32,32,32,32,80,97,99,107, - 97,103,101,115,32,97,114,101,32,115,105,109,112,108,121,32, - 109,111,100,117,108,101,115,32,116,104,97,116,32,40,109,97, - 121,41,32,104,97,118,101,32,115,117,98,109,111,100,117,108, - 101,115,46,32,32,73,102,32,97,32,115,112,101,99,10,32, - 32,32,32,104,97,115,32,97,32,110,111,110,45,78,111,110, - 101,32,118,97,108,117,101,32,105,110,32,96,115,117,98,109, - 111,100,117,108,101,95,115,101,97,114,99,104,95,108,111,99, - 97,116,105,111,110,115,96,44,32,116,104,101,32,105,109,112, - 111,114,116,10,32,32,32,32,115,121,115,116,101,109,32,119, - 105,108,108,32,99,111,110,115,105,100,101,114,32,109,111,100, - 117,108,101,115,32,108,111,97,100,101,100,32,102,114,111,109, - 32,116,104,101,32,115,112,101,99,32,97,115,32,112,97,99, - 107,97,103,101,115,46,10,10,32,32,32,32,79,110,108,121, - 32,102,105,110,100,101,114,115,32,40,115,101,101,32,105,109, - 112,111,114,116,108,105,98,46,97,98,99,46,77,101,116,97, - 80,97,116,104,70,105,110,100,101,114,32,97,110,100,10,32, - 32,32,32,105,109,112,111,114,116,108,105,98,46,97,98,99, - 46,80,97,116,104,69,110,116,114,121,70,105,110,100,101,114, - 41,32,115,104,111,117,108,100,32,109,111,100,105,102,121,32, - 77,111,100,117,108,101,83,112,101,99,32,105,110,115,116,97, - 110,99,101,115,46,10,10,32,32,32,32,218,6,111,114,105, - 103,105,110,78,218,12,108,111,97,100,101,114,95,115,116,97, - 116,101,218,10,105,115,95,112,97,99,107,97,103,101,99,3, - 0,0,0,3,0,0,0,6,0,0,0,2,0,0,0,67, - 0,0,0,115,54,0,0,0,124,1,124,0,95,0,124,2, - 124,0,95,1,124,3,124,0,95,2,124,4,124,0,95,3, - 124,5,114,32,103,0,110,2,100,0,124,0,95,4,100,1, - 124,0,95,5,100,0,124,0,95,6,100,0,83,0,41,2, - 78,70,41,7,114,15,0,0,0,114,99,0,0,0,114,107, - 0,0,0,114,108,0,0,0,218,26,115,117,98,109,111,100, - 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, - 116,1,0,0,115,14,0,0,0,0,2,6,1,6,1,6, - 1,6,1,14,3,6,1,122,19,77,111,100,117,108,101,83, - 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102,114,111,109,95,109,111,100,117,108,101,209,1,0,0,115, + 72,0,0,0,0,2,2,1,10,1,14,1,6,2,8,1, + 4,2,6,1,8,1,2,1,10,1,14,2,6,1,2,1, + 10,1,14,1,10,1,8,1,8,1,2,1,10,1,14,1, + 12,2,4,1,2,1,10,1,14,1,10,1,2,1,14,1, + 16,1,10,2,16,1,20,1,6,1,6,1,114,132,0,0, + 0,70,41,1,218,8,111,118,101,114,114,105,100,101,99,2, 0,0,0,1,0,0,0,5,0,0,0,59,0,0,0,67, 0,0,0,115,212,1,0,0,124,2,115,20,116,0,124,1, 100,1,100,0,131,3,100,0,107,8,114,54,121,12,124,0, @@ -1118,765 +1118,767 @@ const unsigned char _Py_M__importlib[] = { 114,10,0,0,0,114,11,0,0,0,114,87,0,0,0,170, 2,0,0,115,6,0,0,0,0,9,8,1,12,1,114,87, 0,0,0,99,0,0,0,0,0,0,0,0,0,0,0,0, - 5,0,0,0,64,0,0,0,115,138,0,0,0,101,0,90, + 4,0,0,0,64,0,0,0,115,136,0,0,0,101,0,90, 1,100,0,90,2,100,1,90,3,101,4,100,2,100,3,132, - 0,131,1,90,5,101,6,100,4,100,4,100,5,100,6,132, - 2,131,1,90,7,101,6,100,4,100,7,100,8,132,1,131, - 1,90,8,101,6,100,9,100,10,132,0,131,1,90,9,101, - 6,100,11,100,12,132,0,131,1,90,10,101,6,101,11,100, - 13,100,14,132,0,131,1,131,1,90,12,101,6,101,11,100, - 15,100,16,132,0,131,1,131,1,90,13,101,6,101,11,100, - 17,100,18,132,0,131,1,131,1,90,14,101,6,101,15,131, - 1,90,16,100,4,83,0,41,19,218,15,66,117,105,108,116, - 105,110,73,109,112,111,114,116,101,114,122,144,77,101,116,97, - 32,112,97,116,104,32,105,109,112,111,114,116,32,102,111,114, - 32,98,117,105,108,116,45,105,110,32,109,111,100,117,108,101, - 115,46,10,10,32,32,32,32,65,108,108,32,109,101,116,104, - 111,100,115,32,97,114,101,32,101,105,116,104,101,114,32,99, - 108,97,115,115,32,111,114,32,115,116,97,116,105,99,32,109, - 101,116,104,111,100,115,32,116,111,32,97,118,111,105,100,32, - 116,104,101,32,110,101,101,100,32,116,111,10,32,32,32,32, - 105,110,115,116,97,110,116,105,97,116,101,32,116,104,101,32, - 99,108,97,115,115,46,10,10,32,32,32,32,99,1,0,0, - 0,0,0,0,0,1,0,0,0,2,0,0,0,67,0,0, - 0,115,12,0,0,0,100,1,106,0,124,0,106,1,131,1, - 83,0,41,2,122,115,82,101,116,117,114,110,32,114,101,112, - 114,32,102,111,114,32,116,104,101,32,109,111,100,117,108,101, - 46,10,10,32,32,32,32,32,32,32,32,84,104,101,32,109, - 101,116,104,111,100,32,105,115,32,100,101,112,114,101,99,97, - 116,101,100,46,32,32,84,104,101,32,105,109,112,111,114,116, - 32,109,97,99,104,105,110,101,114,121,32,100,111,101,115,32, - 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, - 0,0,0,0,7,122,27,66,117,105,108,116,105,110,73,109, - 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, - 5,0,0,0,67,0,0,0,115,48,0,0,0,124,2,100, - 0,107,9,114,12,100,0,83,0,116,0,106,1,124,1,131, - 1,114,40,116,2,124,1,124,0,100,1,100,2,144,1,131, - 2,83,0,110,4,100,0,83,0,100,0,83,0,41,3,78, - 114,107,0,0,0,122,8,98,117,105,108,116,45,105,110,41, - 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, - 0,0,0,218,4,112,97,116,104,218,6,116,97,114,103,101, - 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, - 10,0,0,0,0,2,8,1,4,1,10,1,18,2,122,25, + 0,131,1,90,5,101,6,100,19,100,5,100,6,132,1,131, + 1,90,7,101,6,100,20,100,7,100,8,132,1,131,1,90, + 8,101,6,100,9,100,10,132,0,131,1,90,9,101,6,100, + 11,100,12,132,0,131,1,90,10,101,6,101,11,100,13,100, + 14,132,0,131,1,131,1,90,12,101,6,101,11,100,15,100, + 16,132,0,131,1,131,1,90,13,101,6,101,11,100,17,100, + 18,132,0,131,1,131,1,90,14,101,6,101,15,131,1,90, + 16,100,4,83,0,41,21,218,15,66,117,105,108,116,105,110, + 73,109,112,111,114,116,101,114,122,144,77,101,116,97,32,112, + 97,116,104,32,105,109,112,111,114,116,32,102,111,114,32,98, + 117,105,108,116,45,105,110,32,109,111,100,117,108,101,115,46, + 10,10,32,32,32,32,65,108,108,32,109,101,116,104,111,100, + 115,32,97,114,101,32,101,105,116,104,101,114,32,99,108,97, + 115,115,32,111,114,32,115,116,97,116,105,99,32,109,101,116, + 104,111,100,115,32,116,111,32,97,118,111,105,100,32,116,104, + 101,32,110,101,101,100,32,116,111,10,32,32,32,32,105,110, + 115,116,97,110,116,105,97,116,101,32,116,104,101,32,99,108, + 97,115,115,46,10,10,32,32,32,32,99,1,0,0,0,0, + 0,0,0,1,0,0,0,2,0,0,0,67,0,0,0,115, + 12,0,0,0,100,1,106,0,124,0,106,1,131,1,83,0, + 41,2,122,115,82,101,116,117,114,110,32,114,101,112,114,32, + 102,111,114,32,116,104,101,32,109,111,100,117,108,101,46,10, + 10,32,32,32,32,32,32,32,32,84,104,101,32,109,101,116, + 104,111,100,32,105,115,32,100,101,112,114,101,99,97,116,101, + 100,46,32,32,84,104,101,32,105,109,112,111,114,116,32,109, + 97,99,104,105,110,101,114,121,32,100,111,101,115,32,116,104, + 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, + 0,0,7,122,27,66,117,105,108,116,105,110,73,109,112,111, + 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, + 0,0,67,0,0,0,115,48,0,0,0,124,2,100,0,107, + 9,114,12,100,0,83,0,116,0,106,1,124,1,131,1,114, + 40,116,2,124,1,124,0,100,1,100,2,144,1,131,2,83, + 0,110,4,100,0,83,0,100,0,83,0,41,3,78,114,107, + 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, + 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, + 0,0,0,2,8,1,4,1,10,1,18,2,122,25,66,117, + 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, + 4,0,0,0,3,0,0,0,67,0,0,0,115,30,0,0, + 0,124,0,106,0,124,1,124,2,131,2,125,3,124,3,100, + 1,107,9,114,26,124,3,106,1,83,0,100,1,83,0,41, + 2,122,175,70,105,110,100,32,116,104,101,32,98,117,105,108, + 116,45,105,110,32,109,111,100,117,108,101,46,10,10,32,32, + 32,32,32,32,32,32,73,102,32,39,112,97,116,104,39,32, + 105,115,32,101,118,101,114,32,115,112,101,99,105,102,105,101, + 100,32,116,104,101,110,32,116,104,101,32,115,101,97,114,99, + 104,32,105,115,32,99,111,110,115,105,100,101,114,101,100,32, + 97,32,102,97,105,108,117,114,101,46,10,10,32,32,32,32, + 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, + 32,32,78,41,2,114,155,0,0,0,114,99,0,0,0,41, + 4,114,152,0,0,0,114,78,0,0,0,114,153,0,0,0, + 114,88,0,0,0,114,10,0,0,0,114,10,0,0,0,114, + 11,0,0,0,218,11,102,105,110,100,95,109,111,100,117,108, + 101,213,2,0,0,115,4,0,0,0,0,9,12,1,122,27, 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, - 0,0,4,0,0,0,3,0,0,0,67,0,0,0,115,30, - 0,0,0,124,0,106,0,124,1,124,2,131,2,125,3,124, - 3,100,1,107,9,114,26,124,3,106,1,83,0,100,1,83, - 0,41,2,122,175,70,105,110,100,32,116,104,101,32,98,117, - 105,108,116,45,105,110,32,109,111,100,117,108,101,46,10,10, - 32,32,32,32,32,32,32,32,73,102,32,39,112,97,116,104, - 39,32,105,115,32,101,118,101,114,32,115,112,101,99,105,102, - 105,101,100,32,116,104,101,110,32,116,104,101,32,115,101,97, - 114,99,104,32,105,115,32,99,111,110,115,105,100,101,114,101, - 100,32,97,32,102,97,105,108,117,114,101,46,10,10,32,32, - 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, - 32,32,32,32,78,41,2,114,155,0,0,0,114,99,0,0, - 0,41,4,114,152,0,0,0,114,78,0,0,0,114,153,0, - 0,0,114,88,0,0,0,114,10,0,0,0,114,10,0,0, - 0,114,11,0,0,0,218,11,102,105,110,100,95,109,111,100, - 117,108,101,213,2,0,0,115,4,0,0,0,0,9,12,1, - 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, - 0,0,115,48,0,0,0,124,1,106,0,116,1,106,2,107, - 7,114,36,116,3,100,1,106,4,124,1,106,0,131,1,100, - 2,124,1,106,0,144,1,131,1,130,1,116,5,116,6,106, - 7,124,1,131,2,83,0,41,3,122,24,67,114,101,97,116, - 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, - 115,8,0,0,0,0,3,12,1,14,1,10,1,122,29,66, - 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, - 0,0,0,0,0,2,0,0,0,3,0,0,0,67,0,0, - 0,115,16,0,0,0,116,0,116,1,106,2,124,1,131,2, - 1,0,100,1,83,0,41,2,122,22,69,120,101,99,32,97, + 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, + 115,48,0,0,0,124,1,106,0,116,1,106,2,107,7,114, + 36,116,3,100,1,106,4,124,1,106,0,131,1,100,2,124, + 1,106,0,144,1,131,1,130,1,116,5,116,6,106,7,124, + 1,131,2,83,0,41,3,122,24,67,114,101,97,116,101,32, + 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, - 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, - 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, - 1,0,0,0,67,0,0,0,115,4,0,0,0,100,1,83, - 0,41,2,122,57,82,101,116,117,114,110,32,78,111,110,101, - 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, - 114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,218, - 8,103,101,116,95,99,111,100,101,238,2,0,0,115,2,0, - 0,0,0,4,122,24,66,117,105,108,116,105,110,73,109,112, - 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, - 0,0,0,115,4,0,0,0,100,1,83,0,41,2,122,56, - 82,101,116,117,114,110,32,78,111,110,101,32,97,115,32,98, - 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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, - 0,0,90,8,101,120,99,95,116,121,112,101,90,9,101,120, - 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, - 0,0,0,0,2,122,27,95,73,109,112,111,114,116,76,111, - 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, - 0,0,0,114,10,0,0,0,114,10,0,0,0,114,10,0, - 0,0,114,11,0,0,0,114,166,0,0,0,80,3,0,0, - 115,6,0,0,0,8,2,4,2,8,4,114,166,0,0,0, - 99,3,0,0,0,0,0,0,0,5,0,0,0,4,0,0, - 0,67,0,0,0,115,64,0,0,0,124,1,106,0,100,1, - 124,2,100,2,24,0,131,2,125,3,116,1,124,3,131,1, - 124,2,107,0,114,36,116,2,100,3,131,1,130,1,124,3, - 100,4,25,0,125,4,124,0,114,60,100,5,106,3,124,4, - 124,0,131,2,83,0,124,4,83,0,41,6,122,50,82,101, - 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, - 114,121,0,0,0,114,45,0,0,0,122,50,97,116,116,101, - 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, - 0,0,0,122,5,123,125,46,123,125,41,4,218,6,114,115, - 112,108,105,116,218,3,108,101,110,218,10,86,97,108,117,101, - 69,114,114,111,114,114,50,0,0,0,41,5,114,15,0,0, - 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, - 10,0,0,0,0,2,16,1,12,1,8,1,8,1,114,172, - 0,0,0,99,3,0,0,0,0,0,0,0,4,0,0,0, - 3,0,0,0,67,0,0,0,115,34,0,0,0,124,0,106, - 0,124,1,124,2,131,2,125,3,124,3,100,0,107,8,114, - 24,100,0,83,0,116,1,124,1,124,3,131,2,83,0,41, - 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, - 0,114,11,0,0,0,218,17,95,102,105,110,100,95,115,112, - 101,99,95,108,101,103,97,99,121,102,3,0,0,115,8,0, - 0,0,0,3,12,1,8,1,4,1,114,174,0,0,0,99, - 3,0,0,0,0,0,0,0,10,0,0,0,27,0,0,0, - 67,0,0,0,115,244,0,0,0,116,0,106,1,125,3,124, - 3,100,1,107,8,114,22,116,2,100,2,131,1,130,1,124, - 3,115,38,116,3,106,4,100,3,116,5,131,2,1,0,124, - 0,116,0,106,6,107,6,125,4,120,190,124,3,68,0,93, - 178,125,5,116,7,131,0,143,72,1,0,121,10,124,5,106, - 8,125,6,87,0,110,42,4,0,116,9,107,10,114,118,1, - 0,1,0,1,0,116,10,124,5,124,0,124,1,131,3,125, - 7,124,7,100,1,107,8,114,114,119,54,89,0,110,14,88, - 0,124,6,124,0,124,1,124,2,131,3,125,7,87,0,100, - 1,81,0,82,0,88,0,124,7,100,1,107,9,114,54,124, - 4,12,0,114,228,124,0,116,0,106,6,107,6,114,228,116, - 0,106,6,124,0,25,0,125,8,121,10,124,8,106,11,125, - 9,87,0,110,20,4,0,116,9,107,10,114,206,1,0,1, - 0,1,0,124,7,83,0,88,0,124,9,100,1,107,8,114, - 222,124,7,83,0,113,232,124,9,83,0,113,54,124,7,83, - 0,113,54,87,0,100,1,83,0,100,1,83,0,41,4,122, - 23,70,105,110,100,32,97,32,109,111,100,117,108,101,39,115, - 32,108,111,97,100,101,114,46,78,122,53,115,121,115,46,109, - 101,116,97,95,112,97,116,104,32,105,115,32,78,111,110,101, - 44,32,80,121,116,104,111,110,32,105,115,32,108,105,107,101, - 108,121,32,115,104,117,116,116,105,110,103,32,100,111,119,110, - 122,22,115,121,115,46,109,101,116,97,95,112,97,116,104,32, - 105,115,32,101,109,112,116,121,41,12,114,14,0,0,0,218, - 9,109,101,116,97,95,112,97,116,104,114,77,0,0,0,114, - 142,0,0,0,114,143,0,0,0,218,13,73,109,112,111,114, - 116,87,97,114,110,105,110,103,114,21,0,0,0,114,166,0, - 0,0,114,155,0,0,0,114,96,0,0,0,114,174,0,0, - 0,114,95,0,0,0,41,10,114,15,0,0,0,114,153,0, - 0,0,114,154,0,0,0,114,175,0,0,0,90,9,105,115, - 95,114,101,108,111,97,100,114,173,0,0,0,114,155,0,0, - 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0,0,0,114,200,0,0,0,218,9,112,97,114,116,105,116, + 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, + 0,0,0,114,199,0,0,0,218,6,108,111,99,97,108,115, + 114,193,0,0,0,114,171,0,0,0,114,89,0,0,0,90, + 8,103,108,111,98,97,108,115,95,114,170,0,0,0,90,7, + 99,117,116,95,111,102,102,114,10,0,0,0,114,10,0,0, + 0,114,11,0,0,0,218,10,95,95,105,109,112,111,114,116, + 95,95,41,4,0,0,115,26,0,0,0,0,11,8,1,10, + 2,16,1,8,1,12,1,4,3,8,1,20,1,4,1,6, + 4,26,3,32,2,114,203,0,0,0,99,1,0,0,0,0, + 0,0,0,2,0,0,0,3,0,0,0,67,0,0,0,115, + 38,0,0,0,116,0,106,1,124,0,131,1,125,1,124,1, + 100,0,107,8,114,30,116,2,100,1,124,0,23,0,131,1, + 130,1,116,3,124,1,131,1,83,0,41,2,78,122,25,110, + 111,32,98,117,105,108,116,45,105,110,32,109,111,100,117,108, + 101,32,110,97,109,101,100,32,41,4,114,151,0,0,0,114, + 155,0,0,0,114,77,0,0,0,114,150,0,0,0,41,2, + 114,15,0,0,0,114,88,0,0,0,114,10,0,0,0,114, + 10,0,0,0,114,11,0,0,0,218,18,95,98,117,105,108, + 116,105,110,95,102,114,111,109,95,110,97,109,101,76,4,0, + 0,115,8,0,0,0,0,1,10,1,8,1,12,1,114,204, + 0,0,0,99,2,0,0,0,0,0,0,0,12,0,0,0, + 12,0,0,0,67,0,0,0,115,244,0,0,0,124,1,97, + 0,124,0,97,1,116,2,116,1,131,1,125,2,120,86,116, + 1,106,3,106,4,131,0,68,0,93,72,92,2,125,3,125, + 4,116,5,124,4,124,2,131,2,114,28,124,3,116,1,106, + 6,107,6,114,62,116,7,125,5,110,18,116,0,106,8,124, + 3,131,1,114,28,116,9,125,5,110,2,113,28,116,10,124, + 4,124,5,131,2,125,6,116,11,124,6,124,4,131,2,1, + 0,113,28,87,0,116,1,106,3,116,12,25,0,125,7,120, + 54,100,5,68,0,93,46,125,8,124,8,116,1,106,3,107, + 7,114,144,116,13,124,8,131,1,125,9,110,10,116,1,106, + 3,124,8,25,0,125,9,116,14,124,7,124,8,124,9,131, + 3,1,0,113,120,87,0,121,12,116,13,100,2,131,1,125, + 10,87,0,110,24,4,0,116,15,107,10,114,206,1,0,1, + 0,1,0,100,3,125,10,89,0,110,2,88,0,116,14,124, + 7,100,2,124,10,131,3,1,0,116,13,100,4,131,1,125, + 11,116,14,124,7,100,4,124,11,131,3,1,0,100,3,83, + 0,41,6,122,250,83,101,116,117,112,32,105,109,112,111,114, + 116,108,105,98,32,98,121,32,105,109,112,111,114,116,105,110, + 103,32,110,101,101,100,101,100,32,98,117,105,108,116,45,105, + 110,32,109,111,100,117,108,101,115,32,97,110,100,32,105,110, + 106,101,99,116,105,110,103,32,116,104,101,109,10,32,32,32, + 32,105,110,116,111,32,116,104,101,32,103,108,111,98,97,108, + 32,110,97,109,101,115,112,97,99,101,46,10,10,32,32,32, + 32,65,115,32,115,121,115,32,105,115,32,110,101,101,100,101, + 100,32,102,111,114,32,115,121,115,46,109,111,100,117,108,101, + 115,32,97,99,99,101,115,115,32,97,110,100,32,95,105,109, + 112,32,105,115,32,110,101,101,100,101,100,32,116,111,32,108, + 111,97,100,32,98,117,105,108,116,45,105,110,10,32,32,32, + 32,109,111,100,117,108,101,115,44,32,116,104,111,115,101,32, + 116,119,111,32,109,111,100,117,108,101,115,32,109,117,115,116, + 32,98,101,32,101,120,112,108,105,99,105,116,108,121,32,112, + 97,115,115,101,100,32,105,110,46,10,10,32,32,32,32,114, + 142,0,0,0,114,34,0,0,0,78,114,62,0,0,0,41, + 1,122,9,95,119,97,114,110,105,110,103,115,41,16,114,57, + 0,0,0,114,14,0,0,0,114,13,0,0,0,114,21,0, + 0,0,218,5,105,116,101,109,115,114,178,0,0,0,114,76, + 0,0,0,114,151,0,0,0,114,82,0,0,0,114,161,0, + 0,0,114,132,0,0,0,114,137,0,0,0,114,1,0,0, + 0,114,204,0,0,0,114,5,0,0,0,114,77,0,0,0, + 41,12,218,10,115,121,115,95,109,111,100,117,108,101,218,11, + 95,105,109,112,95,109,111,100,117,108,101,90,11,109,111,100, + 117,108,101,95,116,121,112,101,114,15,0,0,0,114,89,0, + 0,0,114,99,0,0,0,114,88,0,0,0,90,11,115,101, + 108,102,95,109,111,100,117,108,101,90,12,98,117,105,108,116, + 105,110,95,110,97,109,101,90,14,98,117,105,108,116,105,110, + 95,109,111,100,117,108,101,90,13,116,104,114,101,97,100,95, + 109,111,100,117,108,101,90,14,119,101,97,107,114,101,102,95, + 109,111,100,117,108,101,114,10,0,0,0,114,10,0,0,0, + 114,11,0,0,0,218,6,95,115,101,116,117,112,83,4,0, + 0,115,50,0,0,0,0,9,4,1,4,3,8,1,20,1, + 10,1,10,1,6,1,10,1,6,2,2,1,10,1,14,3, + 10,1,10,1,10,1,10,2,10,1,16,3,2,1,12,1, + 14,2,10,1,12,3,8,1,114,208,0,0,0,99,2,0, + 0,0,0,0,0,0,3,0,0,0,3,0,0,0,67,0, + 0,0,115,66,0,0,0,116,0,124,0,124,1,131,2,1, + 0,116,1,106,2,106,3,116,4,131,1,1,0,116,1,106, + 2,106,3,116,5,131,1,1,0,100,1,100,2,108,6,125, + 2,124,2,97,7,124,2,106,8,116,1,106,9,116,10,25, + 0,131,1,1,0,100,2,83,0,41,3,122,50,73,110,115, + 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, + 33,0,0,0,78,41,11,114,208,0,0,0,114,14,0,0, + 0,114,175,0,0,0,114,113,0,0,0,114,151,0,0,0, + 114,161,0,0,0,218,26,95,102,114,111,122,101,110,95,105, + 109,112,111,114,116,108,105,98,95,101,120,116,101,114,110,97, + 108,114,119,0,0,0,218,8,95,105,110,115,116,97,108,108, + 114,21,0,0,0,114,1,0,0,0,41,3,114,206,0,0, + 0,114,207,0,0,0,114,209,0,0,0,114,10,0,0,0, + 114,10,0,0,0,114,11,0,0,0,114,210,0,0,0,130, + 4,0,0,115,12,0,0,0,0,2,10,2,12,1,12,3, + 8,1,4,1,114,210,0,0,0,41,2,78,78,41,1,78, + 41,2,78,114,33,0,0,0,41,51,114,3,0,0,0,114, + 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, + 187,0,0,0,114,195,0,0,0,114,200,0,0,0,114,203, + 0,0,0,114,204,0,0,0,114,208,0,0,0,114,210,0, + 0,0,114,10,0,0,0,114,10,0,0,0,114,10,0,0, + 0,114,11,0,0,0,218,8,60,109,111,100,117,108,101,62, + 8,0,0,0,115,96,0,0,0,4,17,4,2,8,8,8, + 4,14,20,4,2,4,3,16,4,14,68,14,21,14,19,8, + 19,8,19,8,11,14,8,8,11,8,12,8,16,8,36,14, + 27,14,101,16,26,6,3,10,45,14,60,8,18,8,17,8, + 25,8,29,8,23,8,16,14,73,14,77,14,13,8,9,8, + 9,10,47,8,20,4,1,8,2,8,27,8,6,10,24,8, + 32,8,27,18,35,8,7,8,47, }; diff --git a/Python/importlib_external.h b/Python/importlib_external.h index d582f4bef7..ba2f6bba9b 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -1,904 +1,904 @@ /* 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, - 0,64,0,0,0,115,248,1,0,0,100,0,90,0,100,92, + 99,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0, + 0,64,0,0,0,115,236,1,0,0,100,0,90,0,100,91, 90,1,100,4,100,5,132,0,90,2,100,6,100,7,132,0, 90,3,100,8,100,9,132,0,90,4,100,10,100,11,132,0, 90,5,100,12,100,13,132,0,90,6,100,14,100,15,132,0, 90,7,100,16,100,17,132,0,90,8,100,18,100,19,132,0, - 90,9,100,20,100,21,132,0,90,10,100,22,100,23,100,24, + 90,9,100,20,100,21,132,0,90,10,100,92,100,23,100,24, 132,1,90,11,101,12,101,11,106,13,131,1,90,14,100,25, 106,15,100,26,100,27,131,2,100,28,23,0,90,16,101,17, 106,18,101,16,100,27,131,2,90,19,100,29,90,20,100,30, 90,21,100,31,103,1,90,22,100,32,103,1,90,23,101,23, - 4,0,90,24,90,25,100,33,100,34,100,33,100,35,100,36, - 144,1,132,1,90,26,100,37,100,38,132,0,90,27,100,39, + 4,0,90,24,90,25,100,93,100,33,100,34,156,1,100,35, + 100,36,132,3,90,26,100,37,100,38,132,0,90,27,100,39, 100,40,132,0,90,28,100,41,100,42,132,0,90,29,100,43, 100,44,132,0,90,30,100,45,100,46,132,0,90,31,100,47, - 100,48,132,0,90,32,100,33,100,33,100,33,100,49,100,50, - 132,3,90,33,100,33,100,33,100,33,100,51,100,52,132,3, - 90,34,100,53,100,53,100,54,100,55,132,2,90,35,100,56, - 100,57,132,0,90,36,101,37,131,0,90,38,100,33,100,58, - 100,33,100,59,101,38,100,60,100,61,144,2,132,1,90,39, - 71,0,100,62,100,63,132,0,100,63,131,2,90,40,71,0, - 100,64,100,65,132,0,100,65,131,2,90,41,71,0,100,66, - 100,67,132,0,100,67,101,41,131,3,90,42,71,0,100,68, - 100,69,132,0,100,69,131,2,90,43,71,0,100,70,100,71, - 132,0,100,71,101,43,101,42,131,4,90,44,71,0,100,72, - 100,73,132,0,100,73,101,43,101,41,131,4,90,45,103,0, - 90,46,71,0,100,74,100,75,132,0,100,75,101,43,101,41, - 131,4,90,47,71,0,100,76,100,77,132,0,100,77,131,2, - 90,48,71,0,100,78,100,79,132,0,100,79,131,2,90,49, - 71,0,100,80,100,81,132,0,100,81,131,2,90,50,71,0, - 100,82,100,83,132,0,100,83,131,2,90,51,100,33,100,84, - 100,85,132,1,90,52,100,86,100,87,132,0,90,53,100,88, - 100,89,132,0,90,54,100,90,100,91,132,0,90,55,100,33, - 83,0,41,93,97,94,1,0,0,67,111,114,101,32,105,109, - 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, - 110,100,32,97,116,116,114,105,98,117,116,101,115,32,105,110, - 32,111,114,100,101,114,32,116,111,10,119,111,114,107,46,32, - 79,110,101,32,115,104,111,117,108,100,32,117,115,101,32,105, - 109,112,111,114,116,108,105,98,32,97,115,32,116,104,101,32, - 112,117,98,108,105,99,45,102,97,99,105,110,103,32,118,101, - 114,115,105,111,110,32,111,102,32,116,104,105,115,32,109,111, - 100,117,108,101,46,10,10,218,3,119,105,110,218,6,99,121, - 103,119,105,110,218,6,100,97,114,119,105,110,99,0,0,0, - 0,0,0,0,0,1,0,0,0,2,0,0,0,67,0,0, - 0,115,34,0,0,0,116,0,106,1,106,2,116,3,131,1, - 114,22,100,1,100,2,132,0,125,0,110,8,100,3,100,2, - 132,0,125,0,124,0,83,0,41,4,78,99,0,0,0,0, - 0,0,0,0,0,0,0,0,2,0,0,0,83,0,0,0, - 115,10,0,0,0,100,1,116,0,106,1,107,6,83,0,41, - 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, - 105,116,105,118,101,108,121,46,115,12,0,0,0,80,89,84, - 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, - 0,115,4,0,0,0,100,1,83,0,41,2,122,53,84,114, - 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, - 3,115,121,115,218,8,112,108,97,116,102,111,114,109,218,10, - 115,116,97,114,116,115,119,105,116,104,218,27,95,67,65,83, - 69,95,73,78,83,69,78,83,73,84,73,86,69,95,80,76, - 65,84,70,79,82,77,83,41,1,114,6,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,5,0,0,0,218,16,95, - 109,97,107,101,95,114,101,108,97,120,95,99,97,115,101,28, - 0,0,0,115,8,0,0,0,0,1,12,1,10,4,8,3, - 114,11,0,0,0,99,1,0,0,0,0,0,0,0,1,0, - 0,0,3,0,0,0,67,0,0,0,115,20,0,0,0,116, - 0,124,0,131,1,100,1,64,0,106,1,100,2,100,3,131, - 2,83,0,41,4,122,42,67,111,110,118,101,114,116,32,97, - 32,51,50,45,98,105,116,32,105,110,116,101,103,101,114,32, - 116,111,32,108,105,116,116,108,101,45,101,110,100,105,97,110, - 46,108,3,0,0,0,255,127,255,127,3,0,233,4,0,0, - 0,218,6,108,105,116,116,108,101,41,2,218,3,105,110,116, - 218,8,116,111,95,98,121,116,101,115,41,1,218,1,120,114, - 4,0,0,0,114,4,0,0,0,114,5,0,0,0,218,7, - 95,119,95,108,111,110,103,40,0,0,0,115,2,0,0,0, - 0,2,114,17,0,0,0,99,1,0,0,0,0,0,0,0, - 1,0,0,0,3,0,0,0,67,0,0,0,115,12,0,0, - 0,116,0,106,1,124,0,100,1,131,2,83,0,41,2,122, - 47,67,111,110,118,101,114,116,32,52,32,98,121,116,101,115, - 32,105,110,32,108,105,116,116,108,101,45,101,110,100,105,97, - 110,32,116,111,32,97,110,32,105,110,116,101,103,101,114,46, - 114,13,0,0,0,41,2,114,14,0,0,0,218,10,102,114, - 111,109,95,98,121,116,101,115,41,1,90,9,105,110,116,95, - 98,121,116,101,115,114,4,0,0,0,114,4,0,0,0,114, - 5,0,0,0,218,7,95,114,95,108,111,110,103,45,0,0, - 0,115,2,0,0,0,0,2,114,19,0,0,0,99,0,0, - 0,0,0,0,0,0,1,0,0,0,3,0,0,0,71,0, - 0,0,115,20,0,0,0,116,0,106,1,100,1,100,2,132, - 0,124,0,68,0,131,1,131,1,83,0,41,3,122,31,82, - 101,112,108,97,99,101,109,101,110,116,32,102,111,114,32,111, - 115,46,112,97,116,104,46,106,111,105,110,40,41,46,99,1, - 0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,83, - 0,0,0,115,26,0,0,0,103,0,124,0,93,18,125,1, - 124,1,114,4,124,1,106,0,116,1,131,1,145,2,113,4, - 83,0,114,4,0,0,0,41,2,218,6,114,115,116,114,105, - 112,218,15,112,97,116,104,95,115,101,112,97,114,97,116,111, - 114,115,41,2,218,2,46,48,218,4,112,97,114,116,114,4, - 0,0,0,114,4,0,0,0,114,5,0,0,0,250,10,60, - 108,105,115,116,99,111,109,112,62,52,0,0,0,115,2,0, - 0,0,6,1,122,30,95,112,97,116,104,95,106,111,105,110, - 46,60,108,111,99,97,108,115,62,46,60,108,105,115,116,99, - 111,109,112,62,41,2,218,8,112,97,116,104,95,115,101,112, - 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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, - 114,40,0,0,0,90,6,117,110,108,105,110,107,41,6,114, - 35,0,0,0,218,4,100,97,116,97,114,42,0,0,0,90, - 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, - 99,99,0,0,0,115,26,0,0,0,0,5,16,1,6,1, - 26,1,2,3,14,1,20,1,16,1,14,1,2,1,14,1, - 14,1,6,1,114,55,0,0,0,105,43,13,0,0,233,2, - 0,0,0,114,13,0,0,0,115,2,0,0,0,13,10,90, - 11,95,95,112,121,99,97,99,104,101,95,95,122,4,111,112, - 116,45,122,3,46,112,121,122,4,46,112,121,99,78,218,12, - 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, - 0,115,234,0,0,0,124,1,100,1,107,9,114,52,116,0, - 106,1,100,2,116,2,131,2,1,0,124,2,100,1,107,9, - 114,40,100,3,125,3,116,3,124,3,131,1,130,1,124,1, - 114,48,100,4,110,2,100,5,125,2,116,4,124,0,131,1, - 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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, - 99,104,101,35,1,0,0,115,44,0,0,0,0,9,12,1, - 8,1,12,1,12,1,8,1,6,1,10,1,10,1,8,1, - 6,1,10,1,8,1,16,1,10,1,6,1,8,1,16,1, - 8,1,6,1,8,1,14,1,114,85,0,0,0,99,1,0, - 0,0,0,0,0,0,5,0,0,0,12,0,0,0,67,0, - 0,0,115,128,0,0,0,116,0,124,0,131,1,100,1,107, - 2,114,16,100,2,83,0,124,0,106,1,100,3,131,1,92, - 3,125,1,125,2,125,3,124,1,12,0,115,58,124,3,106, - 2,131,0,100,7,100,8,133,2,25,0,100,6,107,3,114, - 62,124,0,83,0,121,12,116,3,124,0,131,1,125,4,87, - 0,110,36,4,0,116,4,116,5,102,2,107,10,114,110,1, - 0,1,0,1,0,124,0,100,2,100,9,133,2,25,0,125, - 4,89,0,110,2,88,0,116,6,124,4,131,1,114,124,124, - 4,83,0,124,0,83,0,41,10,122,188,67,111,110,118,101, - 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, - 111,117,114,99,101,102,105,108,101,68,1,0,0,115,20,0, - 0,0,0,7,12,1,4,1,16,1,26,1,4,1,2,1, - 12,1,18,1,18,1,114,91,0,0,0,99,1,0,0,0, - 0,0,0,0,1,0,0,0,11,0,0,0,67,0,0,0, - 115,74,0,0,0,124,0,106,0,116,1,116,2,131,1,131, - 1,114,46,121,8,116,3,124,0,131,1,83,0,4,0,116, - 4,107,10,114,42,1,0,1,0,1,0,89,0,113,70,88, - 0,110,24,124,0,106,0,116,1,116,5,131,1,131,1,114, - 66,124,0,83,0,110,4,100,0,83,0,100,0,83,0,41, - 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, - 100,87,1,0,0,115,16,0,0,0,0,1,14,1,2,1, - 8,1,14,1,8,1,14,1,6,2,114,95,0,0,0,99, - 1,0,0,0,0,0,0,0,2,0,0,0,11,0,0,0, - 67,0,0,0,115,52,0,0,0,121,14,116,0,124,0,131, - 1,106,1,125,1,87,0,110,24,4,0,116,2,107,10,114, - 38,1,0,1,0,1,0,100,1,125,1,89,0,110,2,88, - 0,124,1,100,2,79,0,125,1,124,1,83,0,41,3,122, - 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, - 99,95,109,111,100,101,99,1,0,0,115,12,0,0,0,0, - 2,2,1,14,1,14,1,10,3,8,1,114,97,0,0,0, - 99,1,0,0,0,0,0,0,0,3,0,0,0,11,0,0, - 0,3,0,0,0,115,68,0,0,0,100,1,135,0,102,1, - 100,2,100,3,134,1,125,1,121,10,116,0,106,1,125,2, - 87,0,110,28,4,0,116,2,107,10,114,52,1,0,1,0, - 1,0,100,4,100,5,132,0,125,2,89,0,110,2,88,0, - 124,2,124,1,136,0,131,2,1,0,124,1,83,0,41,6, - 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, - 31,0,0,0,115,64,0,0,0,124,1,100,0,107,8,114, - 16,124,0,106,0,125,1,110,34,124,0,106,0,124,1,107, - 3,114,50,116,1,100,1,124,0,106,0,124,1,102,2,22, - 0,100,2,124,1,144,1,131,1,130,1,136,0,124,0,124, - 1,124,2,124,3,142,2,83,0,41,3,78,122,30,108,111, - 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, - 109,101,95,119,114,97,112,112,101,114,119,1,0,0,115,12, - 0,0,0,0,1,8,1,8,1,10,1,4,1,20,1,122, - 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, - 0,0,3,0,0,0,7,0,0,0,83,0,0,0,115,60, - 0,0,0,120,40,100,5,68,0,93,32,125,2,116,0,124, - 1,124,2,131,2,114,6,116,1,124,0,124,2,116,2,124, - 1,124,2,131,2,131,3,1,0,113,6,87,0,124,0,106, - 3,106,4,124,1,106,3,131,1,1,0,100,0,83,0,41, - 6,78,218,10,95,95,109,111,100,117,108,101,95,95,218,8, - 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, - 4,122,10,95,95,109,111,100,117,108,101,95,95,122,8,95, - 95,110,97,109,101,95,95,122,12,95,95,113,117,97,108,110, - 97,109,101,95,95,122,7,95,95,100,111,99,95,95,41,5, - 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, - 119,114,97,112,130,1,0,0,115,8,0,0,0,0,1,10, - 1,10,1,22,1,122,26,95,99,104,101,99,107,95,110,97, - 109,101,46,60,108,111,99,97,108,115,62,46,95,119,114,97, - 112,41,3,218,10,95,98,111,111,116,115,116,114,97,112,114, - 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, - 0,218,11,95,99,104,101,99,107,95,110,97,109,101,111,1, - 0,0,115,14,0,0,0,0,8,14,7,2,1,10,1,14, - 2,14,5,10,1,114,116,0,0,0,99,2,0,0,0,0, - 0,0,0,5,0,0,0,4,0,0,0,67,0,0,0,115, - 60,0,0,0,124,0,106,0,124,1,131,1,92,2,125,2, - 125,3,124,2,100,1,107,8,114,56,116,1,124,3,131,1, - 114,56,100,2,125,4,116,2,106,3,124,4,106,4,124,3, - 100,3,25,0,131,1,116,5,131,2,1,0,124,2,83,0, - 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, - 105,110,100,95,109,111,100,117,108,101,95,115,104,105,109,139, - 1,0,0,115,10,0,0,0,0,10,14,1,16,1,4,1, - 22,1,114,123,0,0,0,99,4,0,0,0,0,0,0,0, - 11,0,0,0,19,0,0,0,67,0,0,0,115,128,1,0, - 0,105,0,125,4,124,2,100,1,107,9,114,22,124,2,124, - 4,100,2,60,0,110,4,100,3,125,2,124,3,100,1,107, - 9,114,42,124,3,124,4,100,4,60,0,124,0,100,1,100, - 5,133,2,25,0,125,5,124,0,100,5,100,6,133,2,25, - 0,125,6,124,0,100,6,100,7,133,2,25,0,125,7,124, - 5,116,0,107,3,114,122,100,8,106,1,124,2,124,5,131, - 2,125,8,116,2,106,3,100,9,124,8,131,2,1,0,116, - 4,124,8,124,4,141,1,130,1,110,86,116,5,124,6,131, - 1,100,5,107,3,114,166,100,10,106,1,124,2,131,1,125, - 8,116,2,106,3,100,9,124,8,131,2,1,0,116,6,124, - 8,131,1,130,1,110,42,116,5,124,7,131,1,100,5,107, - 3,114,208,100,11,106,1,124,2,131,1,125,8,116,2,106, - 3,100,9,124,8,131,2,1,0,116,6,124,8,131,1,130, - 1,124,1,100,1,107,9,144,1,114,116,121,16,116,7,124, - 1,100,12,25,0,131,1,125,9,87,0,110,20,4,0,116, - 8,107,10,114,254,1,0,1,0,1,0,89,0,110,48,88, - 0,116,9,124,6,131,1,124,9,107,3,144,1,114,46,100, - 13,106,1,124,2,131,1,125,8,116,2,106,3,100,9,124, - 8,131,2,1,0,116,4,124,8,124,4,141,1,130,1,121, - 16,124,1,100,14,25,0,100,15,64,0,125,10,87,0,110, - 22,4,0,116,8,107,10,144,1,114,84,1,0,1,0,1, - 0,89,0,110,32,88,0,116,9,124,7,131,1,124,10,107, - 3,144,1,114,116,116,4,100,13,106,1,124,2,131,1,124, - 4,141,1,130,1,124,0,100,7,100,1,133,2,25,0,83, - 0,41,16,97,122,1,0,0,86,97,108,105,100,97,116,101, - 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, - 100,101,95,104,101,97,100,101,114,156,1,0,0,115,76,0, - 0,0,0,11,4,1,8,1,10,3,4,1,8,1,8,1, - 12,1,12,1,12,1,8,1,12,1,12,1,12,1,12,1, - 10,1,12,1,10,1,12,1,10,1,12,1,8,1,10,1, - 2,1,16,1,14,1,6,2,14,1,10,1,12,1,10,1, - 2,1,16,1,16,1,6,2,14,1,10,1,6,1,114,135, - 0,0,0,99,4,0,0,0,0,0,0,0,5,0,0,0, - 6,0,0,0,67,0,0,0,115,86,0,0,0,116,0,106, - 1,124,0,131,1,125,4,116,2,124,4,116,3,131,2,114, - 58,116,4,106,5,100,1,124,2,131,2,1,0,124,3,100, - 2,107,9,114,52,116,6,106,7,124,4,124,3,131,2,1, - 0,124,4,83,0,110,24,116,8,100,3,106,9,124,2,131, - 1,100,4,124,1,100,5,124,2,144,2,131,1,130,1,100, - 2,83,0,41,6,122,60,67,111,109,112,105,108,101,32,98, - 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, - 100,101,211,1,0,0,115,16,0,0,0,0,2,10,1,10, - 1,12,1,8,1,12,1,6,2,12,1,114,141,0,0,0, - 114,59,0,0,0,99,3,0,0,0,0,0,0,0,4,0, - 0,0,3,0,0,0,67,0,0,0,115,56,0,0,0,116, - 0,116,1,131,1,125,3,124,3,106,2,116,3,124,1,131, - 1,131,1,1,0,124,3,106,2,116,3,124,2,131,1,131, - 1,1,0,124,3,106,2,116,4,106,5,124,0,131,1,131, - 1,1,0,124,3,83,0,41,1,122,80,67,111,109,112,105, - 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, - 100,101,95,116,111,95,98,121,116,101,99,111,100,101,223,1, - 0,0,115,10,0,0,0,0,3,8,1,14,1,14,1,16, - 1,114,144,0,0,0,99,1,0,0,0,0,0,0,0,5, - 0,0,0,4,0,0,0,67,0,0,0,115,62,0,0,0, - 100,1,100,2,108,0,125,1,116,1,106,2,124,0,131,1, - 106,3,125,2,124,1,106,4,124,2,131,1,125,3,116,1, - 106,5,100,2,100,3,131,2,125,4,124,4,106,6,124,0, - 106,6,124,3,100,1,25,0,131,1,131,1,83,0,41,4, - 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, - 218,13,100,101,99,111,100,101,95,115,111,117,114,99,101,233, - 1,0,0,115,10,0,0,0,0,5,8,1,12,1,10,1, - 12,1,114,149,0,0,0,114,120,0,0,0,218,26,115,117, - 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, - 0,9,0,0,0,19,0,0,0,67,0,0,0,115,8,1, - 0,0,124,1,100,1,107,8,114,58,100,2,125,1,116,0, - 124,2,100,3,131,2,114,58,121,14,124,2,106,1,124,0, - 131,1,125,1,87,0,110,20,4,0,116,2,107,10,114,56, - 1,0,1,0,1,0,89,0,110,2,88,0,116,3,106,4, - 124,0,124,2,100,4,124,1,144,1,131,2,125,4,100,5, - 124,4,95,5,124,2,100,1,107,8,114,146,120,54,116,6, - 131,0,68,0,93,40,92,2,125,5,125,6,124,1,106,7, - 116,8,124,6,131,1,131,1,114,98,124,5,124,0,124,1, - 131,2,125,2,124,2,124,4,95,9,80,0,113,98,87,0, - 100,1,83,0,124,3,116,10,107,8,114,212,116,0,124,2, - 100,6,131,2,114,218,121,14,124,2,106,11,124,0,131,1, - 125,7,87,0,110,20,4,0,116,2,107,10,114,198,1,0, - 1,0,1,0,89,0,113,218,88,0,124,7,114,218,103,0, - 124,4,95,12,110,6,124,3,124,4,95,12,124,4,106,12, - 103,0,107,2,144,1,114,4,124,1,144,1,114,4,116,13, - 124,1,131,1,100,7,25,0,125,8,124,4,106,12,106,14, - 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97,116,104,32,102,105,110,100,101,114,32,102,111,114,32,109, + 111,100,117,108,101,115,32,100,101,99,108,97,114,101,100,32, + 105,110,32,116,104,101,32,87,105,110,100,111,119,115,32,114, + 101,103,105,115,116,114,121,46,122,59,83,111,102,116,119,97, + 114,101,92,80,121,116,104,111,110,92,80,121,116,104,111,110, + 67,111,114,101,92,123,115,121,115,95,118,101,114,115,105,111, + 110,125,92,77,111,100,117,108,101,115,92,123,102,117,108,108, + 110,97,109,101,125,122,65,83,111,102,116,119,97,114,101,92, + 80,121,116,104,111,110,92,80,121,116,104,111,110,67,111,114, + 101,92,123,115,121,115,95,118,101,114,115,105,111,110,125,92, + 77,111,100,117,108,101,115,92,123,102,117,108,108,110,97,109, + 101,125,92,68,101,98,117,103,70,99,2,0,0,0,0,0, + 0,0,2,0,0,0,11,0,0,0,67,0,0,0,115,50, + 0,0,0,121,14,116,0,106,1,116,0,106,2,124,1,131, + 2,83,0,4,0,116,3,107,10,114,44,1,0,1,0,1, + 0,116,0,106,1,116,0,106,4,124,1,131,2,83,0,88, + 0,100,0,83,0,41,1,78,41,5,218,7,95,119,105,110, + 114,101,103,90,7,79,112,101,110,75,101,121,90,17,72,75, + 69,89,95,67,85,82,82,69,78,84,95,85,83,69,82,114, + 40,0,0,0,90,18,72,75,69,89,95,76,79,67,65,76, + 95,77,65,67,72,73,78,69,41,2,218,3,99,108,115,218, + 3,107,101,121,114,4,0,0,0,114,4,0,0,0,114,5, + 0,0,0,218,14,95,111,112,101,110,95,114,101,103,105,115, + 116,114,121,74,2,0,0,115,8,0,0,0,0,2,2,1, + 14,1,14,1,122,36,87,105,110,100,111,119,115,82,101,103, + 105,115,116,114,121,70,105,110,100,101,114,46,95,111,112,101, + 110,95,114,101,103,105,115,116,114,121,99,2,0,0,0,0, + 0,0,0,6,0,0,0,16,0,0,0,67,0,0,0,115, + 116,0,0,0,124,0,106,0,114,14,124,0,106,1,125,2, + 110,6,124,0,106,2,125,2,124,2,106,3,100,1,124,1, + 100,2,100,3,116,4,106,5,100,0,100,4,133,2,25,0, + 22,0,144,2,131,0,125,3,121,38,124,0,106,6,124,3, + 131,1,143,18,125,4,116,7,106,8,124,4,100,5,131,2, + 125,5,87,0,100,0,81,0,82,0,88,0,87,0,110,20, + 4,0,116,9,107,10,114,110,1,0,1,0,1,0,100,0, + 83,0,88,0,124,5,83,0,41,6,78,114,120,0,0,0, + 90,11,115,121,115,95,118,101,114,115,105,111,110,122,5,37, + 100,46,37,100,114,57,0,0,0,114,30,0,0,0,41,10, + 218,11,68,69,66,85,71,95,66,85,73,76,68,218,18,82, + 69,71,73,83,84,82,89,95,75,69,89,95,68,69,66,85, + 71,218,12,82,69,71,73,83,84,82,89,95,75,69,89,114, + 48,0,0,0,114,7,0,0,0,218,12,118,101,114,115,105, + 111,110,95,105,110,102,111,114,167,0,0,0,114,164,0,0, + 0,90,10,81,117,101,114,121,86,97,108,117,101,114,40,0, + 0,0,41,6,114,165,0,0,0,114,120,0,0,0,90,12, + 114,101,103,105,115,116,114,121,95,107,101,121,114,166,0,0, + 0,90,4,104,107,101,121,218,8,102,105,108,101,112,97,116, + 104,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, + 218,16,95,115,101,97,114,99,104,95,114,101,103,105,115,116, + 114,121,81,2,0,0,115,22,0,0,0,0,2,6,1,8, + 2,6,1,10,1,22,1,2,1,12,1,26,1,14,1,6, + 1,122,38,87,105,110,100,111,119,115,82,101,103,105,115,116, + 114,121,70,105,110,100,101,114,46,95,115,101,97,114,99,104, + 95,114,101,103,105,115,116,114,121,78,99,4,0,0,0,0, + 0,0,0,8,0,0,0,14,0,0,0,67,0,0,0,115, + 122,0,0,0,124,0,106,0,124,1,131,1,125,4,124,4, + 100,0,107,8,114,22,100,0,83,0,121,12,116,1,124,4, + 131,1,1,0,87,0,110,20,4,0,116,2,107,10,114,54, + 1,0,1,0,1,0,100,0,83,0,88,0,120,60,116,3, + 131,0,68,0,93,50,92,2,125,5,125,6,124,4,106,4, + 116,5,124,6,131,1,131,1,114,64,116,6,106,7,124,1, + 124,5,124,1,124,4,131,2,100,1,124,4,144,1,131,2, + 125,7,124,7,83,0,113,64,87,0,100,0,83,0,41,2, + 78,114,153,0,0,0,41,8,114,173,0,0,0,114,39,0, + 0,0,114,40,0,0,0,114,156,0,0,0,114,93,0,0, + 0,114,94,0,0,0,114,115,0,0,0,218,16,115,112,101, + 99,95,102,114,111,109,95,108,111,97,100,101,114,41,8,114, + 165,0,0,0,114,120,0,0,0,114,35,0,0,0,218,6, + 116,97,114,103,101,116,114,172,0,0,0,114,121,0,0,0, + 114,161,0,0,0,114,159,0,0,0,114,4,0,0,0,114, + 4,0,0,0,114,5,0,0,0,218,9,102,105,110,100,95, + 115,112,101,99,96,2,0,0,115,26,0,0,0,0,2,10, + 1,8,1,4,1,2,1,12,1,14,1,6,1,16,1,14, + 1,6,1,10,1,8,1,122,31,87,105,110,100,111,119,115, + 82,101,103,105,115,116,114,121,70,105,110,100,101,114,46,102, + 105,110,100,95,115,112,101,99,99,3,0,0,0,0,0,0, + 0,4,0,0,0,3,0,0,0,67,0,0,0,115,36,0, + 0,0,124,0,106,0,124,1,124,2,131,2,125,3,124,3, + 100,1,107,9,114,28,124,3,106,1,83,0,110,4,100,1, + 83,0,100,1,83,0,41,2,122,108,70,105,110,100,32,109, + 111,100,117,108,101,32,110,97,109,101,100,32,105,110,32,116, + 104,101,32,114,101,103,105,115,116,114,121,46,10,10,32,32, + 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, + 32,32,32,32,32,32,78,41,2,114,176,0,0,0,114,121, + 0,0,0,41,4,114,165,0,0,0,114,120,0,0,0,114, + 35,0,0,0,114,159,0,0,0,114,4,0,0,0,114,4, + 0,0,0,114,5,0,0,0,218,11,102,105,110,100,95,109, + 111,100,117,108,101,112,2,0,0,115,8,0,0,0,0,7, + 12,1,8,1,8,2,122,33,87,105,110,100,111,119,115,82, + 101,103,105,115,116,114,121,70,105,110,100,101,114,46,102,105, + 110,100,95,109,111,100,117,108,101,41,2,78,78,41,1,78, + 41,12,114,106,0,0,0,114,105,0,0,0,114,107,0,0, + 0,114,108,0,0,0,114,170,0,0,0,114,169,0,0,0, + 114,168,0,0,0,218,11,99,108,97,115,115,109,101,116,104, + 111,100,114,167,0,0,0,114,173,0,0,0,114,176,0,0, + 0,114,177,0,0,0,114,4,0,0,0,114,4,0,0,0, + 114,4,0,0,0,114,5,0,0,0,114,163,0,0,0,62, 2,0,0,115,20,0,0,0,8,2,4,3,4,3,4,2, - 4,2,12,7,12,15,2,1,14,15,2,1,114,162,0,0, + 4,2,12,7,12,15,2,1,12,15,2,1,114,163,0,0, 0,99,0,0,0,0,0,0,0,0,0,0,0,0,2,0, 0,0,64,0,0,0,115,48,0,0,0,101,0,90,1,100, 0,90,2,100,1,90,3,100,2,100,3,132,0,90,4,100, @@ -925,13 +925,13 @@ const unsigned char _Py_M__importlib_external[] = { 101,116,95,102,105,108,101,110,97,109,101,32,104,97,115,32, 97,32,102,105,108,101,110,97,109,101,32,111,102,32,39,95, 95,105,110,105,116,95,95,46,112,121,39,46,114,29,0,0, - 0,114,58,0,0,0,114,59,0,0,0,114,56,0,0,0, + 0,114,59,0,0,0,114,60,0,0,0,114,57,0,0,0, 218,8,95,95,105,110,105,116,95,95,41,4,114,38,0,0, - 0,114,151,0,0,0,114,34,0,0,0,114,32,0,0,0, - 41,5,114,100,0,0,0,114,119,0,0,0,114,94,0,0, + 0,114,152,0,0,0,114,34,0,0,0,114,32,0,0,0, + 41,5,114,101,0,0,0,114,120,0,0,0,114,95,0,0, 0,90,13,102,105,108,101,110,97,109,101,95,98,97,115,101, 90,9,116,97,105,108,95,110,97,109,101,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,153,0,0,0,129, + 114,4,0,0,0,114,5,0,0,0,114,154,0,0,0,131, 2,0,0,115,8,0,0,0,0,3,18,1,16,1,14,1, 122,24,95,76,111,97,100,101,114,66,97,115,105,99,115,46, 105,115,95,112,97,99,107,97,103,101,99,2,0,0,0,0, @@ -939,10 +939,10 @@ const unsigned char _Py_M__importlib_external[] = { 4,0,0,0,100,1,83,0,41,2,122,42,85,115,101,32, 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, + 97,116,105,111,110,46,78,114,4,0,0,0,41,2,114,101, + 0,0,0,114,159,0,0,0,114,4,0,0,0,114,4,0, 0,0,114,5,0,0,0,218,13,99,114,101,97,116,101,95, - 109,111,100,117,108,101,137,2,0,0,115,0,0,0,0,122, + 109,111,100,117,108,101,139,2,0,0,115,0,0,0,0,122, 27,95,76,111,97,100,101,114,66,97,115,105,99,115,46,99, 114,101,97,116,101,95,109,111,100,117,108,101,99,2,0,0, 0,0,0,0,0,3,0,0,0,4,0,0,0,67,0,0, @@ -955,38 +955,38 @@ const unsigned char _Py_M__importlib_external[] = { 111,97,100,32,109,111,100,117,108,101,32,123,33,114,125,32, 119,104,101,110,32,103,101,116,95,99,111,100,101,40,41,32, 114,101,116,117,114,110,115,32,78,111,110,101,41,8,218,8, - 103,101,116,95,99,111,100,101,114,105,0,0,0,114,99,0, - 0,0,114,47,0,0,0,114,114,0,0,0,218,25,95,99, + 103,101,116,95,99,111,100,101,114,106,0,0,0,114,100,0, + 0,0,114,48,0,0,0,114,115,0,0,0,218,25,95,99, 97,108,108,95,119,105,116,104,95,102,114,97,109,101,115,95, - 114,101,109,111,118,101,100,218,4,101,120,101,99,114,111,0, - 0,0,41,3,114,100,0,0,0,218,6,109,111,100,117,108, - 101,114,140,0,0,0,114,4,0,0,0,114,4,0,0,0, + 114,101,109,111,118,101,100,218,4,101,120,101,99,114,112,0, + 0,0,41,3,114,101,0,0,0,218,6,109,111,100,117,108, + 101,114,141,0,0,0,114,4,0,0,0,114,4,0,0,0, 114,5,0,0,0,218,11,101,120,101,99,95,109,111,100,117, - 108,101,140,2,0,0,115,10,0,0,0,0,2,12,1,8, + 108,101,142,2,0,0,115,10,0,0,0,0,2,12,1,8, 1,6,1,10,1,122,25,95,76,111,97,100,101,114,66,97, 115,105,99,115,46,101,120,101,99,95,109,111,100,117,108,101, 99,2,0,0,0,0,0,0,0,2,0,0,0,3,0,0, 0,67,0,0,0,115,12,0,0,0,116,0,106,1,124,0, 124,1,131,2,83,0,41,1,122,26,84,104,105,115,32,109, 111,100,117,108,101,32,105,115,32,100,101,112,114,101,99,97, - 116,101,100,46,41,2,114,114,0,0,0,218,17,95,108,111, + 116,101,100,46,41,2,114,115,0,0,0,218,17,95,108,111, 97,100,95,109,111,100,117,108,101,95,115,104,105,109,41,2, - 114,100,0,0,0,114,119,0,0,0,114,4,0,0,0,114, + 114,101,0,0,0,114,120,0,0,0,114,4,0,0,0,114, 4,0,0,0,114,5,0,0,0,218,11,108,111,97,100,95, - 109,111,100,117,108,101,148,2,0,0,115,2,0,0,0,0, + 109,111,100,117,108,101,150,2,0,0,115,2,0,0,0,0, 2,122,25,95,76,111,97,100,101,114,66,97,115,105,99,115, 46,108,111,97,100,95,109,111,100,117,108,101,78,41,8,114, - 105,0,0,0,114,104,0,0,0,114,106,0,0,0,114,107, - 0,0,0,114,153,0,0,0,114,180,0,0,0,114,185,0, - 0,0,114,187,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,5,0,0,0,114,178,0,0,0, - 124,2,0,0,115,10,0,0,0,8,3,4,2,8,8,8, - 3,8,8,114,178,0,0,0,99,0,0,0,0,0,0,0, - 0,0,0,0,0,4,0,0,0,64,0,0,0,115,74,0, + 106,0,0,0,114,105,0,0,0,114,107,0,0,0,114,108, + 0,0,0,114,154,0,0,0,114,181,0,0,0,114,186,0, + 0,0,114,188,0,0,0,114,4,0,0,0,114,4,0,0, + 0,114,4,0,0,0,114,5,0,0,0,114,179,0,0,0, + 126,2,0,0,115,10,0,0,0,8,3,4,2,8,8,8, + 3,8,8,114,179,0,0,0,99,0,0,0,0,0,0,0, + 0,0,0,0,0,3,0,0,0,64,0,0,0,115,74,0, 0,0,101,0,90,1,100,0,90,2,100,1,100,2,132,0, 90,3,100,3,100,4,132,0,90,4,100,5,100,6,132,0, 90,5,100,7,100,8,132,0,90,6,100,9,100,10,132,0, - 90,7,100,11,100,18,100,13,100,14,144,1,132,0,90,8, + 90,7,100,18,100,12,156,1,100,13,100,14,132,2,90,8, 100,15,100,16,132,0,90,9,100,17,83,0,41,19,218,12, 83,111,117,114,99,101,76,111,97,100,101,114,99,2,0,0, 0,0,0,0,0,2,0,0,0,1,0,0,0,67,0,0, @@ -1003,9 +1003,9 @@ const unsigned char _Py_M__importlib_external[] = { 116,104,101,32,112,97,116,104,32,99,97,110,110,111,116,32, 98,101,32,104,97,110,100,108,101,100,46,10,32,32,32,32, 32,32,32,32,78,41,1,218,7,73,79,69,114,114,111,114, - 41,2,114,100,0,0,0,114,35,0,0,0,114,4,0,0, + 41,2,114,101,0,0,0,114,35,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,5,0,0,0,218,10,112,97,116, - 104,95,109,116,105,109,101,155,2,0,0,115,2,0,0,0, + 104,95,109,116,105,109,101,157,2,0,0,115,2,0,0,0, 0,6,122,23,83,111,117,114,99,101,76,111,97,100,101,114, 46,112,97,116,104,95,109,116,105,109,101,99,2,0,0,0, 0,0,0,0,2,0,0,0,3,0,0,0,67,0,0,0, @@ -1037,10 +1037,10 @@ const unsigned char _Py_M__importlib_external[] = { 101,115,32,73,79,69,114,114,111,114,32,119,104,101,110,32, 116,104,101,32,112,97,116,104,32,99,97,110,110,111,116,32, 98,101,32,104,97,110,100,108,101,100,46,10,32,32,32,32, - 32,32,32,32,114,126,0,0,0,41,1,114,190,0,0,0, - 41,2,114,100,0,0,0,114,35,0,0,0,114,4,0,0, + 32,32,32,32,114,127,0,0,0,41,1,114,191,0,0,0, + 41,2,114,101,0,0,0,114,35,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,5,0,0,0,218,10,112,97,116, - 104,95,115,116,97,116,115,163,2,0,0,115,2,0,0,0, + 104,95,115,116,97,116,115,165,2,0,0,115,2,0,0,0, 0,11,122,23,83,111,117,114,99,101,76,111,97,100,101,114, 46,112,97,116,104,95,115,116,97,116,115,99,4,0,0,0, 0,0,0,0,4,0,0,0,3,0,0,0,67,0,0,0, @@ -1060,11 +1060,11 @@ const unsigned char _Py_M__importlib_external[] = { 111,32,99,111,114,114,101,99,116,108,121,32,116,114,97,110, 115,102,101,114,32,112,101,114,109,105,115,115,105,111,110,115, 10,32,32,32,32,32,32,32,32,41,1,218,8,115,101,116, - 95,100,97,116,97,41,4,114,100,0,0,0,114,90,0,0, - 0,90,10,99,97,99,104,101,95,112,97,116,104,114,53,0, + 95,100,97,116,97,41,4,114,101,0,0,0,114,91,0,0, + 0,90,10,99,97,99,104,101,95,112,97,116,104,114,54,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, 0,218,15,95,99,97,99,104,101,95,98,121,116,101,99,111, - 100,101,176,2,0,0,115,2,0,0,0,0,8,122,28,83, + 100,101,178,2,0,0,115,2,0,0,0,0,8,122,28,83, 111,117,114,99,101,76,111,97,100,101,114,46,95,99,97,99, 104,101,95,98,121,116,101,99,111,100,101,99,3,0,0,0, 0,0,0,0,3,0,0,0,1,0,0,0,67,0,0,0, @@ -1078,9 +1078,9 @@ const unsigned char _Py_M__importlib_external[] = { 32,97,108,108,111,119,115,32,102,111,114,32,116,104,101,32, 119,114,105,116,105,110,103,32,111,102,32,98,121,116,101,99, 111,100,101,32,102,105,108,101,115,46,10,32,32,32,32,32, - 32,32,32,78,114,4,0,0,0,41,3,114,100,0,0,0, - 114,35,0,0,0,114,53,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,5,0,0,0,114,192,0,0,0,186,2, + 32,32,32,78,114,4,0,0,0,41,3,114,101,0,0,0, + 114,35,0,0,0,114,54,0,0,0,114,4,0,0,0,114, + 4,0,0,0,114,5,0,0,0,114,193,0,0,0,188,2, 0,0,115,0,0,0,0,122,21,83,111,117,114,99,101,76, 111,97,100,101,114,46,115,101,116,95,100,97,116,97,99,2, 0,0,0,0,0,0,0,5,0,0,0,16,0,0,0,67, @@ -1095,1329 +1095,1332 @@ const unsigned char _Py_M__importlib_external[] = { 99,116,76,111,97,100,101,114,46,103,101,116,95,115,111,117, 114,99,101,46,122,39,115,111,117,114,99,101,32,110,111,116, 32,97,118,97,105,108,97,98,108,101,32,116,104,114,111,117, - 103,104,32,103,101,116,95,100,97,116,97,40,41,114,98,0, - 0,0,78,41,5,114,151,0,0,0,218,8,103,101,116,95, - 100,97,116,97,114,40,0,0,0,114,99,0,0,0,114,149, - 0,0,0,41,5,114,100,0,0,0,114,119,0,0,0,114, - 35,0,0,0,114,147,0,0,0,218,3,101,120,99,114,4, + 103,104,32,103,101,116,95,100,97,116,97,40,41,114,99,0, + 0,0,78,41,5,114,152,0,0,0,218,8,103,101,116,95, + 100,97,116,97,114,40,0,0,0,114,100,0,0,0,114,150, + 0,0,0,41,5,114,101,0,0,0,114,120,0,0,0,114, + 35,0,0,0,114,148,0,0,0,218,3,101,120,99,114,4, 0,0,0,114,4,0,0,0,114,5,0,0,0,218,10,103, - 101,116,95,115,111,117,114,99,101,193,2,0,0,115,14,0, + 101,116,95,115,111,117,114,99,101,195,2,0,0,115,14,0, 0,0,0,2,10,1,2,1,14,1,16,1,6,1,28,1, 122,23,83,111,117,114,99,101,76,111,97,100,101,114,46,103, - 101,116,95,115,111,117,114,99,101,218,9,95,111,112,116,105, - 109,105,122,101,114,29,0,0,0,99,3,0,0,0,1,0, - 0,0,4,0,0,0,9,0,0,0,67,0,0,0,115,26, - 0,0,0,116,0,106,1,116,2,124,1,124,2,100,1,100, - 2,100,3,100,4,124,3,144,2,131,4,83,0,41,5,122, - 130,82,101,116,117,114,110,32,116,104,101,32,99,111,100,101, - 32,111,98,106,101,99,116,32,99,111,109,112,105,108,101,100, - 32,102,114,111,109,32,115,111,117,114,99,101,46,10,10,32, - 32,32,32,32,32,32,32,84,104,101,32,39,100,97,116,97, - 39,32,97,114,103,117,109,101,110,116,32,99,97,110,32,98, - 101,32,97,110,121,32,111,98,106,101,99,116,32,116,121,112, - 101,32,116,104,97,116,32,99,111,109,112,105,108,101,40,41, - 32,115,117,112,112,111,114,116,115,46,10,32,32,32,32,32, - 32,32,32,114,183,0,0,0,218,12,100,111,110,116,95,105, - 110,104,101,114,105,116,84,114,68,0,0,0,41,3,114,114, - 0,0,0,114,182,0,0,0,218,7,99,111,109,112,105,108, - 101,41,4,114,100,0,0,0,114,53,0,0,0,114,35,0, - 0,0,114,197,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,5,0,0,0,218,14,115,111,117,114,99,101,95,116, - 111,95,99,111,100,101,203,2,0,0,115,4,0,0,0,0, - 5,14,1,122,27,83,111,117,114,99,101,76,111,97,100,101, - 114,46,115,111,117,114,99,101,95,116,111,95,99,111,100,101, - 99,2,0,0,0,0,0,0,0,10,0,0,0,43,0,0, - 0,67,0,0,0,115,106,1,0,0,124,0,106,0,124,1, - 131,1,125,2,100,1,125,3,121,12,116,1,124,2,131,1, - 125,4,87,0,110,24,4,0,116,2,107,10,114,50,1,0, - 1,0,1,0,100,1,125,4,89,0,110,174,88,0,121,14, - 124,0,106,3,124,2,131,1,125,5,87,0,110,20,4,0, - 116,4,107,10,114,86,1,0,1,0,1,0,89,0,110,138, - 88,0,116,5,124,5,100,2,25,0,131,1,125,3,121,14, - 124,0,106,6,124,4,131,1,125,6,87,0,110,20,4,0, - 116,7,107,10,114,134,1,0,1,0,1,0,89,0,110,90, - 88,0,121,26,116,8,124,6,100,3,124,5,100,4,124,1, - 100,5,124,4,144,3,131,1,125,7,87,0,110,24,4,0, - 116,9,116,10,102,2,107,10,114,186,1,0,1,0,1,0, - 89,0,110,38,88,0,116,11,106,12,100,6,124,4,124,2, - 131,3,1,0,116,13,124,7,100,4,124,1,100,7,124,4, - 100,8,124,2,144,3,131,1,83,0,124,0,106,6,124,2, - 131,1,125,8,124,0,106,14,124,8,124,2,131,2,125,9, - 116,11,106,12,100,9,124,2,131,2,1,0,116,15,106,16, - 12,0,144,1,114,102,124,4,100,1,107,9,144,1,114,102, - 124,3,100,1,107,9,144,1,114,102,116,17,124,9,124,3, - 116,18,124,8,131,1,131,3,125,6,121,30,124,0,106,19, - 124,2,124,4,124,6,131,3,1,0,116,11,106,12,100,10, - 124,4,131,2,1,0,87,0,110,22,4,0,116,2,107,10, - 144,1,114,100,1,0,1,0,1,0,89,0,110,2,88,0, - 124,9,83,0,41,11,122,190,67,111,110,99,114,101,116,101, - 32,105,109,112,108,101,109,101,110,116,97,116,105,111,110,32, - 111,102,32,73,110,115,112,101,99,116,76,111,97,100,101,114, - 46,103,101,116,95,99,111,100,101,46,10,10,32,32,32,32, - 32,32,32,32,82,101,97,100,105,110,103,32,111,102,32,98, - 121,116,101,99,111,100,101,32,114,101,113,117,105,114,101,115, - 32,112,97,116,104,95,115,116,97,116,115,32,116,111,32,98, - 101,32,105,109,112,108,101,109,101,110,116,101,100,46,32,84, - 111,32,119,114,105,116,101,10,32,32,32,32,32,32,32,32, - 98,121,116,101,99,111,100,101,44,32,115,101,116,95,100,97, - 116,97,32,109,117,115,116,32,97,108,115,111,32,98,101,32, - 105,109,112,108,101,109,101,110,116,101,100,46,10,10,32,32, - 32,32,32,32,32,32,78,114,126,0,0,0,114,132,0,0, - 0,114,98,0,0,0,114,35,0,0,0,122,13,123,125,32, - 109,97,116,99,104,101,115,32,123,125,114,89,0,0,0,114, - 90,0,0,0,122,19,99,111,100,101,32,111,98,106,101,99, - 116,32,102,114,111,109,32,123,125,122,10,119,114,111,116,101, - 32,123,33,114,125,41,20,114,151,0,0,0,114,79,0,0, - 0,114,66,0,0,0,114,191,0,0,0,114,189,0,0,0, - 114,14,0,0,0,114,194,0,0,0,114,40,0,0,0,114, - 135,0,0,0,114,99,0,0,0,114,130,0,0,0,114,114, - 0,0,0,114,129,0,0,0,114,141,0,0,0,114,200,0, - 0,0,114,7,0,0,0,218,19,100,111,110,116,95,119,114, - 105,116,101,95,98,121,116,101,99,111,100,101,114,144,0,0, - 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, - 0,211,2,0,0,115,78,0,0,0,0,7,10,1,4,1, - 2,1,12,1,14,1,10,2,2,1,14,1,14,1,6,2, - 12,1,2,1,14,1,14,1,6,2,2,1,6,1,8,1, - 12,1,18,1,6,2,8,1,6,1,10,1,4,1,8,1, - 10,1,12,1,12,1,20,1,10,1,6,1,10,1,2,1, - 14,1,16,1,16,1,6,1,122,21,83,111,117,114,99,101, - 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, - 0,0,153,2,0,0,115,14,0,0,0,8,2,8,8,8, - 13,8,10,8,7,8,10,14,8,114,188,0,0,0,99,0, - 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0, - 0,0,0,115,76,0,0,0,101,0,90,1,100,0,90,2, + 101,116,95,115,111,117,114,99,101,114,29,0,0,0,41,1, + 218,9,95,111,112,116,105,109,105,122,101,99,3,0,0,0, + 1,0,0,0,4,0,0,0,9,0,0,0,67,0,0,0, + 115,26,0,0,0,116,0,106,1,116,2,124,1,124,2,100, + 1,100,2,100,3,100,4,124,3,144,2,131,4,83,0,41, + 5,122,130,82,101,116,117,114,110,32,116,104,101,32,99,111, + 100,101,32,111,98,106,101,99,116,32,99,111,109,112,105,108, + 101,100,32,102,114,111,109,32,115,111,117,114,99,101,46,10, + 10,32,32,32,32,32,32,32,32,84,104,101,32,39,100,97, + 116,97,39,32,97,114,103,117,109,101,110,116,32,99,97,110, + 32,98,101,32,97,110,121,32,111,98,106,101,99,116,32,116, + 121,112,101,32,116,104,97,116,32,99,111,109,112,105,108,101, + 40,41,32,115,117,112,112,111,114,116,115,46,10,32,32,32, + 32,32,32,32,32,114,184,0,0,0,218,12,100,111,110,116, + 95,105,110,104,101,114,105,116,84,114,69,0,0,0,41,3, + 114,115,0,0,0,114,183,0,0,0,218,7,99,111,109,112, + 105,108,101,41,4,114,101,0,0,0,114,54,0,0,0,114, + 35,0,0,0,114,198,0,0,0,114,4,0,0,0,114,4, + 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0,0,0,0,2,14,1,12,1,122,30,69,120,116,101,110, + 115,105,111,110,70,105,108,101,76,111,97,100,101,114,46,105, + 115,95,112,97,99,107,97,103,101,99,2,0,0,0,0,0, + 0,0,2,0,0,0,1,0,0,0,67,0,0,0,115,4, + 0,0,0,100,1,83,0,41,2,122,63,82,101,116,117,114, + 110,32,78,111,110,101,32,97,115,32,97,110,32,101,120,116, + 101,110,115,105,111,110,32,109,111,100,117,108,101,32,99,97, + 110,110,111,116,32,99,114,101,97,116,101,32,97,32,99,111, + 100,101,32,111,98,106,101,99,116,46,78,114,4,0,0,0, + 41,2,114,101,0,0,0,114,120,0,0,0,114,4,0,0, + 0,114,4,0,0,0,114,5,0,0,0,114,182,0,0,0, + 153,3,0,0,115,2,0,0,0,0,2,122,28,69,120,116, + 101,110,115,105,111,110,70,105,108,101,76,111,97,100,101,114, + 46,103,101,116,95,99,111,100,101,99,2,0,0,0,0,0, + 0,0,2,0,0,0,1,0,0,0,67,0,0,0,115,4, + 0,0,0,100,1,83,0,41,2,122,53,82,101,116,117,114, + 110,32,78,111,110,101,32,97,115,32,101,120,116,101,110,115, + 105,111,110,32,109,111,100,117,108,101,115,32,104,97,118,101, + 32,110,111,32,115,111,117,114,99,101,32,99,111,100,101,46, + 78,114,4,0,0,0,41,2,114,101,0,0,0,114,120,0, + 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, + 0,114,197,0,0,0,157,3,0,0,115,2,0,0,0,0, + 2,122,30,69,120,116,101,110,115,105,111,110,70,105,108,101, + 76,111,97,100,101,114,46,103,101,116,95,115,111,117,114,99, 101,99,2,0,0,0,0,0,0,0,2,0,0,0,1,0, 0,0,67,0,0,0,115,6,0,0,0,124,0,106,0,83, 0,41,1,122,58,82,101,116,117,114,110,32,116,104,101,32, 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, + 1,114,35,0,0,0,41,2,114,101,0,0,0,114,120,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, - 0,114,151,0,0,0,37,3,0,0,115,2,0,0,0,0, - 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, - 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114,154,0,0,0,240,3,0,0,115,2,0,0,0,0,1, + 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, - 0,0,115,4,0,0,0,100,0,83,0,41,1,78,114,4, - 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, - 0,0,0,250,3,0,0,115,2,0,0,0,0,1,122,28, - 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, - 0,115,26,0,0,0,116,0,106,1,100,1,124,0,106,2, - 131,2,1,0,116,0,106,3,124,0,124,1,131,2,83,0, - 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, - 187,0,0,0,253,3,0,0,115,6,0,0,0,0,7,6, - 1,8,1,122,28,95,78,97,109,101,115,112,97,99,101,76, - 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, - 0,0,0,114,179,0,0,0,114,177,0,0,0,114,244,0, - 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, - 5,0,0,0,114,243,0,0,0,225,3,0,0,115,16,0, - 0,0,8,1,8,3,12,9,8,3,8,3,8,3,8,3, - 8,3,114,243,0,0,0,99,0,0,0,0,0,0,0,0, - 0,0,0,0,5,0,0,0,64,0,0,0,115,108,0,0, - 0,101,0,90,1,100,0,90,2,100,1,90,3,101,4,100, - 2,100,3,132,0,131,1,90,5,101,4,100,4,100,5,132, - 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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, - 3,0,0,0,19,0,0,0,67,0,0,0,115,102,0,0, - 0,124,1,100,1,107,2,114,42,121,12,116,0,106,1,131, - 0,125,1,87,0,110,20,4,0,116,2,107,10,114,40,1, - 0,1,0,1,0,100,2,83,0,88,0,121,14,116,3,106, - 4,124,1,25,0,125,2,87,0,110,40,4,0,116,5,107, - 10,114,96,1,0,1,0,1,0,124,0,106,6,124,1,131, - 1,125,2,124,2,116,3,106,4,124,1,60,0,89,0,110, - 2,88,0,124,2,83,0,41,3,122,210,71,101,116,32,116, - 104,101,32,102,105,110,100,101,114,32,102,111,114,32,116,104, - 101,32,112,97,116,104,32,101,110,116,114,121,32,102,114,111, - 109,32,115,121,115,46,112,97,116,104,95,105,109,112,111,114, - 116,101,114,95,99,97,99,104,101,46,10,10,32,32,32,32, - 32,32,32,32,73,102,32,116,104,101,32,112,97,116,104,32, - 101,110,116,114,121,32,105,115,32,110,111,116,32,105,110,32, - 116,104,101,32,99,97,99,104,101,44,32,102,105,110,100,32, - 116,104,101,32,97,112,112,114,111,112,114,105,97,116,101,32, - 102,105,110,100,101,114,10,32,32,32,32,32,32,32,32,97, - 110,100,32,99,97,99,104,101,32,105,116,46,32,73,102,32, - 110,111,32,102,105,110,100,101,114,32,105,115,32,97,118,97, - 105,108,97,98,108,101,44,32,115,116,111,114,101,32,78,111, - 110,101,46,10,10,32,32,32,32,32,32,32,32,114,30,0, - 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, - 111,114,114,7,0,0,0,114,247,0,0,0,114,131,0,0, - 0,114,251,0,0,0,41,3,114,164,0,0,0,114,35,0, - 0,0,114,249,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,5,0,0,0,218,20,95,112,97,116,104,95,105,109, - 112,111,114,116,101,114,95,99,97,99,104,101,40,4,0,0, - 115,22,0,0,0,0,8,8,1,2,1,12,1,14,3,6, - 1,2,1,14,1,14,1,10,1,16,1,122,31,80,97,116, - 104,70,105,110,100,101,114,46,95,112,97,116,104,95,105,109, - 112,111,114,116,101,114,95,99,97,99,104,101,99,3,0,0, - 0,0,0,0,0,6,0,0,0,3,0,0,0,67,0,0, - 0,115,82,0,0,0,116,0,124,2,100,1,131,2,114,26, - 124,2,106,1,124,1,131,1,92,2,125,3,125,4,110,14, - 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4,0,0,0,114,4,0,0,0,114,5,0,0,0,114,246, - 0,0,0,168,4,0,0,115,2,0,0,0,0,2,122,28, - 70,105,108,101,70,105,110,100,101,114,46,105,110,118,97,108, - 105,100,97,116,101,95,99,97,99,104,101,115,99,2,0,0, - 0,0,0,0,0,3,0,0,0,2,0,0,0,67,0,0, - 0,115,42,0,0,0,124,0,106,0,124,1,131,1,125,2, - 124,2,100,1,107,8,114,26,100,1,103,0,102,2,83,0, - 124,2,106,1,124,2,106,2,112,38,103,0,102,2,83,0, - 41,2,122,197,84,114,121,32,116,111,32,102,105,110,100,32, - 97,32,108,111,97,100,101,114,32,102,111,114,32,116,104,101, - 32,115,112,101,99,105,102,105,101,100,32,109,111,100,117,108, - 101,44,32,111,114,32,116,104,101,32,110,97,109,101,115,112, - 97,99,101,10,32,32,32,32,32,32,32,32,112,97,99,107, - 97,103,101,32,112,111,114,116,105,111,110,115,46,32,82,101, - 116,117,114,110,115,32,40,108,111,97,100,101,114,44,32,108, - 105,115,116,45,111,102,45,112,111,114,116,105,111,110,115,41, - 46,10,10,32,32,32,32,32,32,32,32,84,104,105,115,32, - 109,101,116,104,111,100,32,105,115,32,100,101,112,114,101,99, - 97,116,101,100,46,32,32,85,115,101,32,102,105,110,100,95, - 115,112,101,99,40,41,32,105,110,115,116,101,97,100,46,10, - 10,32,32,32,32,32,32,32,32,78,41,3,114,175,0,0, - 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, - 174,4,0,0,115,8,0,0,0,0,7,10,1,8,1,8, - 1,122,22,70,105,108,101,70,105,110,100,101,114,46,102,105, - 110,100,95,108,111,97,100,101,114,99,6,0,0,0,0,0, - 0,0,7,0,0,0,7,0,0,0,67,0,0,0,115,30, - 0,0,0,124,1,124,2,124,3,131,2,125,6,116,0,124, - 2,124,3,100,1,124,6,100,2,124,4,144,2,131,2,83, - 0,41,3,78,114,120,0,0,0,114,150,0,0,0,41,1, - 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, - 114,4,0,0,0,114,5,0,0,0,114,1,1,0,0,186, - 4,0,0,115,6,0,0,0,0,1,10,1,12,1,122,20, - 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, - 0,0,15,0,0,0,67,0,0,0,115,100,1,0,0,100, - 1,125,3,124,1,106,0,100,2,131,1,100,3,25,0,125, - 4,121,24,116,1,124,0,106,2,112,34,116,3,106,4,131, - 0,131,1,106,5,125,5,87,0,110,24,4,0,116,6,107, - 10,114,66,1,0,1,0,1,0,100,10,125,5,89,0,110, - 2,88,0,124,5,124,0,106,7,107,3,114,92,124,0,106, - 8,131,0,1,0,124,5,124,0,95,7,116,9,131,0,114, - 114,124,0,106,10,125,6,124,4,106,11,131,0,125,7,110, - 10,124,0,106,12,125,6,124,4,125,7,124,7,124,6,107, - 6,114,218,116,13,124,0,106,2,124,4,131,2,125,8,120, - 72,124,0,106,14,68,0,93,54,92,2,125,9,125,10,100, - 5,124,9,23,0,125,11,116,13,124,8,124,11,131,2,125, - 12,116,15,124,12,131,1,114,152,124,0,106,16,124,10,124, - 1,124,12,124,8,103,1,124,2,131,5,83,0,113,152,87, - 0,116,17,124,8,131,1,125,3,120,90,124,0,106,14,68, - 0,93,80,92,2,125,9,125,10,116,13,124,0,106,2,124, - 4,124,9,23,0,131,2,125,12,116,18,106,19,100,6,124, - 12,100,7,100,3,144,1,131,2,1,0,124,7,124,9,23, - 0,124,6,107,6,114,226,116,15,124,12,131,1,114,226,124, - 0,106,16,124,10,124,1,124,12,100,8,124,2,131,5,83, - 0,113,226,87,0,124,3,144,1,114,96,116,18,106,19,100, - 9,124,8,131,2,1,0,116,18,106,20,124,1,100,8,131, - 2,125,13,124,8,103,1,124,13,95,21,124,13,83,0,100, - 8,83,0,41,11,122,102,84,114,121,32,116,111,32,102,105, - 110,100,32,97,32,115,112,101,99,32,102,111,114,32,116,104, - 101,32,115,112,101,99,105,102,105,101,100,32,109,111,100,117, - 108,101,46,32,32,82,101,116,117,114,110,115,32,116,104,101, - 10,32,32,32,32,32,32,32,32,109,97,116,99,104,105,110, - 103,32,115,112,101,99,44,32,111,114,32,78,111,110,101,32, - 105,102,32,110,111,116,32,102,111,117,110,100,46,70,114,58, - 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, - 45,0,0,0,114,213,0,0,0,114,40,0,0,0,114,4, - 1,0,0,218,11,95,102,105,108,108,95,99,97,99,104,101, - 114,6,0,0,0,114,7,1,0,0,114,88,0,0,0,114, - 6,1,0,0,114,28,0,0,0,114,3,1,0,0,114,44, - 0,0,0,114,1,1,0,0,114,46,0,0,0,114,114,0, - 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, - 114,4,0,0,0,114,5,0,0,0,114,175,0,0,0,191, - 4,0,0,115,70,0,0,0,0,3,4,1,14,1,2,1, - 24,1,14,1,10,1,10,1,8,1,6,2,6,1,6,1, - 10,2,6,1,4,2,8,1,12,1,16,1,8,1,10,1, - 8,1,24,4,8,2,16,1,16,1,18,1,12,1,8,1, - 10,1,12,1,6,1,12,1,12,1,8,1,4,1,122,20, - 70,105,108,101,70,105,110,100,101,114,46,102,105,110,100,95, - 115,112,101,99,99,1,0,0,0,0,0,0,0,9,0,0, - 0,13,0,0,0,67,0,0,0,115,194,0,0,0,124,0, - 106,0,125,1,121,22,116,1,106,2,124,1,112,22,116,1, - 106,3,131,0,131,1,125,2,87,0,110,30,4,0,116,4, - 116,5,116,6,102,3,107,10,114,58,1,0,1,0,1,0, - 103,0,125,2,89,0,110,2,88,0,116,7,106,8,106,9, - 100,1,131,1,115,84,116,10,124,2,131,1,124,0,95,11, - 110,78,116,10,131,0,125,3,120,64,124,2,68,0,93,56, - 125,4,124,4,106,12,100,2,131,1,92,3,125,5,125,6, - 125,7,124,6,114,138,100,3,106,13,124,5,124,7,106,14, - 131,0,131,2,125,8,110,4,124,5,125,8,124,3,106,15, - 124,8,131,1,1,0,113,96,87,0,124,3,124,0,95,11, - 116,7,106,8,106,9,116,16,131,1,114,190,100,4,100,5, - 132,0,124,2,68,0,131,1,124,0,95,17,100,6,83,0, - 41,7,122,68,70,105,108,108,32,116,104,101,32,99,97,99, - 104,101,32,111,102,32,112,111,116,101,110,116,105,97,108,32, - 109,111,100,117,108,101,115,32,97,110,100,32,112,97,99,107, - 97,103,101,115,32,102,111,114,32,116,104,105,115,32,100,105, - 114,101,99,116,111,114,121,46,114,0,0,0,0,114,58,0, - 0,0,122,5,123,125,46,123,125,99,1,0,0,0,0,0, - 0,0,2,0,0,0,3,0,0,0,83,0,0,0,115,20, - 0,0,0,104,0,124,0,93,12,125,1,124,1,106,0,131, - 0,146,2,113,4,83,0,114,4,0,0,0,41,1,114,88, - 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, - 115,101,116,99,111,109,112,62,10,5,0,0,115,2,0,0, - 0,6,0,122,41,70,105,108,101,70,105,110,100,101,114,46, - 95,102,105,108,108,95,99,97,99,104,101,46,60,108,111,99, - 97,108,115,62,46,60,115,101,116,99,111,109,112,62,78,41, - 18,114,35,0,0,0,114,3,0,0,0,90,7,108,105,115, - 116,100,105,114,114,45,0,0,0,114,252,0,0,0,218,15, - 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, - 0,0,114,5,1,0,0,114,6,1,0,0,114,83,0,0, - 0,114,47,0,0,0,114,88,0,0,0,218,3,97,100,100, - 114,10,0,0,0,114,7,1,0,0,41,9,114,100,0,0, - 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, - 111,110,116,101,110,116,115,114,241,0,0,0,114,98,0,0, - 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, - 5,0,0,0,114,9,1,0,0,237,4,0,0,115,34,0, - 0,0,0,2,6,1,2,1,22,1,20,3,10,3,12,1, - 12,7,6,1,10,1,16,1,4,1,18,2,4,1,14,1, - 6,1,12,1,122,22,70,105,108,101,70,105,110,100,101,114, - 46,95,102,105,108,108,95,99,97,99,104,101,99,1,0,0, - 0,0,0,0,0,3,0,0,0,3,0,0,0,7,0,0, - 0,115,18,0,0,0,135,0,135,1,102,2,100,1,100,2, - 134,0,125,2,124,2,83,0,41,3,97,20,1,0,0,65, - 32,99,108,97,115,115,32,109,101,116,104,111,100,32,119,104, - 105,99,104,32,114,101,116,117,114,110,115,32,97,32,99,108, - 111,115,117,114,101,32,116,111,32,117,115,101,32,111,110,32, - 115,121,115,46,112,97,116,104,95,104,111,111,107,10,32,32, - 32,32,32,32,32,32,119,104,105,99,104,32,119,105,108,108, - 32,114,101,116,117,114,110,32,97,110,32,105,110,115,116,97, - 110,99,101,32,117,115,105,110,103,32,116,104,101,32,115,112, - 101,99,105,102,105,101,100,32,108,111,97,100,101,114,115,32, - 97,110,100,32,116,104,101,32,112,97,116,104,10,32,32,32, - 32,32,32,32,32,99,97,108,108,101,100,32,111,110,32,116, - 104,101,32,99,108,111,115,117,114,101,46,10,10,32,32,32, - 32,32,32,32,32,73,102,32,116,104,101,32,112,97,116,104, - 32,99,97,108,108,101,100,32,111,110,32,116,104,101,32,99, - 108,111,115,117,114,101,32,105,115,32,110,111,116,32,97,32, - 100,105,114,101,99,116,111,114,121,44,32,73,109,112,111,114, - 116,69,114,114,111,114,32,105,115,10,32,32,32,32,32,32, - 32,32,114,97,105,115,101,100,46,10,10,32,32,32,32,32, - 32,32,32,99,1,0,0,0,0,0,0,0,1,0,0,0, - 4,0,0,0,19,0,0,0,115,32,0,0,0,116,0,124, - 0,131,1,115,22,116,1,100,1,100,2,124,0,144,1,131, - 1,130,1,136,0,124,0,136,1,140,1,83,0,41,3,122, - 45,80,97,116,104,32,104,111,111,107,32,102,111,114,32,105, - 109,112,111,114,116,108,105,98,46,109,97,99,104,105,110,101, - 114,121,46,70,105,108,101,70,105,110,100,101,114,46,122,30, - 111,110,108,121,32,100,105,114,101,99,116,111,114,105,101,115, - 32,97,114,101,32,115,117,112,112,111,114,116,101,100,114,35, - 0,0,0,41,2,114,46,0,0,0,114,99,0,0,0,41, - 1,114,35,0,0,0,41,2,114,164,0,0,0,114,8,1, - 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, - 70,105,110,100,101,114,22,5,0,0,115,6,0,0,0,0, - 2,8,1,14,1,122,54,70,105,108,101,70,105,110,100,101, - 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, - 0,0,41,3,114,164,0,0,0,114,8,1,0,0,114,14, - 1,0,0,114,4,0,0,0,41,2,114,164,0,0,0,114, - 8,1,0,0,114,5,0,0,0,218,9,112,97,116,104,95, - 104,111,111,107,12,5,0,0,115,4,0,0,0,0,10,14, - 6,122,20,70,105,108,101,70,105,110,100,101,114,46,112,97, - 116,104,95,104,111,111,107,99,1,0,0,0,0,0,0,0, - 1,0,0,0,2,0,0,0,67,0,0,0,115,12,0,0, - 0,100,1,106,0,124,0,106,1,131,1,83,0,41,2,78, - 122,16,70,105,108,101,70,105,110,100,101,114,40,123,33,114, - 125,41,41,2,114,47,0,0,0,114,35,0,0,0,41,1, - 114,100,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 5,0,0,0,114,240,0,0,0,30,5,0,0,115,2,0, - 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, - 179,0,0,0,114,246,0,0,0,114,123,0,0,0,114,176, - 0,0,0,114,117,0,0,0,114,1,1,0,0,114,175,0, - 0,0,114,9,1,0,0,114,177,0,0,0,114,15,1,0, - 0,114,240,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,2,1,0,0,145, - 4,0,0,115,20,0,0,0,8,7,4,2,8,14,8,4, - 4,2,8,12,8,5,10,46,8,31,12,18,114,2,1,0, - 0,99,4,0,0,0,0,0,0,0,6,0,0,0,11,0, - 0,0,67,0,0,0,115,148,0,0,0,124,0,106,0,100, - 1,131,1,125,4,124,0,106,0,100,2,131,1,125,5,124, - 4,115,66,124,5,114,36,124,5,106,1,125,4,110,30,124, - 2,124,3,107,2,114,56,116,2,124,1,124,2,131,2,125, - 4,110,10,116,3,124,1,124,2,131,2,125,4,124,5,115, - 86,116,4,124,1,124,2,100,3,124,4,144,1,131,2,125, - 5,121,36,124,5,124,0,100,2,60,0,124,4,124,0,100, - 1,60,0,124,2,124,0,100,4,60,0,124,3,124,0,100, - 5,60,0,87,0,110,20,4,0,116,5,107,10,114,142,1, - 0,1,0,1,0,89,0,110,2,88,0,100,0,83,0,41, - 6,78,218,10,95,95,108,111,97,100,101,114,95,95,218,8, - 95,95,115,112,101,99,95,95,114,120,0,0,0,90,8,95, - 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, - 108,101,36,5,0,0,115,34,0,0,0,0,2,10,1,10, - 1,4,1,4,1,8,1,8,1,12,2,10,1,4,1,16, - 1,2,1,8,1,8,1,8,1,12,1,14,2,114,20,1, - 0,0,99,0,0,0,0,0,0,0,0,3,0,0,0,3, - 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2,88,0,116,6,124,1,100,17,124,9,131,3,1,0,116, - 0,106,5,100,19,131,1,125,10,116,6,124,1,100,19,124, - 10,131,3,1,0,124,5,100,7,107,2,144,1,114,120,116, - 0,106,5,100,20,131,1,125,11,116,6,124,1,100,21,124, - 11,131,3,1,0,116,6,124,1,100,22,116,11,131,0,131, - 3,1,0,116,12,106,13,116,2,106,14,131,0,131,1,1, - 0,124,5,100,7,107,2,144,1,114,184,116,15,106,16,100, - 23,131,1,1,0,100,24,116,12,107,6,144,1,114,184,100, - 25,116,17,95,18,100,18,83,0,41,27,122,205,83,101,116, - 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, - 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4,1,4,2,6,2,6,2,8,2,16,44,8,33,8,19, - 8,12,8,12,8,28,8,17,14,55,14,12,12,10,8,14, - 6,3,8,1,12,65,14,64,14,29,16,110,14,41,18,45, - 18,16,4,3,18,53,14,60,14,42,14,127,0,7,14,127, - 0,20,10,23,8,11,8,68, + 0,114,222,0,0,0,97,5,0,0,115,2,0,0,0,4, + 0,122,25,95,115,101,116,117,112,46,60,108,111,99,97,108, + 115,62,46,60,103,101,110,101,120,112,114,62,114,60,0,0, + 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, + 103,114,164,0,0,0,114,6,0,0,0,122,4,46,112,121, + 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, + 19,114,115,0,0,0,114,7,0,0,0,114,140,0,0,0, + 114,234,0,0,0,114,106,0,0,0,90,18,95,98,117,105, + 108,116,105,110,95,102,114,111,109,95,110,97,109,101,114,110, + 0,0,0,218,3,97,108,108,218,14,65,115,115,101,114,116, + 105,111,110,69,114,114,111,114,114,100,0,0,0,114,26,0, + 0,0,114,11,0,0,0,114,224,0,0,0,114,144,0,0, + 0,114,22,1,0,0,114,85,0,0,0,114,158,0,0,0, + 114,163,0,0,0,114,168,0,0,0,41,12,218,17,95,98, + 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, + 5,0,0,0,218,6,95,115,101,116,117,112,72,5,0,0, + 115,82,0,0,0,0,8,4,1,6,1,6,3,10,1,10, + 1,10,1,12,2,10,1,16,3,22,1,14,2,22,1,8, + 1,10,1,10,1,4,2,2,1,10,1,6,1,14,1,12, + 2,8,1,12,1,12,1,18,3,2,1,14,1,16,2,10, + 1,12,3,10,1,12,3,10,1,10,1,12,3,14,1,14, + 1,10,1,10,1,10,1,114,30,1,0,0,99,1,0,0, + 0,0,0,0,0,2,0,0,0,3,0,0,0,67,0,0, + 0,115,84,0,0,0,116,0,124,0,131,1,1,0,116,1, + 131,0,125,1,116,2,106,3,106,4,116,5,106,6,124,1, + 140,0,103,1,131,1,1,0,116,7,106,8,100,1,107,2, + 114,56,116,2,106,9,106,10,116,11,131,1,1,0,116,2, + 106,9,106,10,116,12,131,1,1,0,116,5,124,0,95,5, + 116,13,124,0,95,13,100,2,83,0,41,3,122,41,73,110, + 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, + 111,110,101,110,116,115,46,114,25,1,0,0,78,41,14,114, + 30,1,0,0,114,156,0,0,0,114,7,0,0,0,114,251, + 0,0,0,114,144,0,0,0,114,3,1,0,0,114,16,1, + 0,0,114,3,0,0,0,114,106,0,0,0,218,9,109,101, + 116,97,95,112,97,116,104,114,158,0,0,0,114,163,0,0, + 0,114,246,0,0,0,114,213,0,0,0,41,2,114,29,1, + 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, + 5,0,0,0,218,8,95,105,110,115,116,97,108,108,140,5, + 0,0,115,16,0,0,0,0,2,8,1,6,1,20,1,10, + 1,12,1,12,4,6,1,114,32,1,0,0,41,3,122,3, + 119,105,110,114,1,0,0,0,114,2,0,0,0,41,1,114, + 47,0,0,0,41,1,78,41,3,78,78,78,41,3,78,78, + 78,41,2,114,60,0,0,0,114,60,0,0,0,41,1,78, + 41,1,78,41,56,114,108,0,0,0,114,10,0,0,0,114, + 11,0,0,0,114,17,0,0,0,114,19,0,0,0,114,28, + 0,0,0,114,38,0,0,0,114,39,0,0,0,114,43,0, + 0,0,114,44,0,0,0,114,46,0,0,0,114,56,0,0, + 0,218,4,116,121,112,101,218,8,95,95,99,111,100,101,95, + 95,114,139,0,0,0,114,15,0,0,0,114,129,0,0,0, + 114,14,0,0,0,114,18,0,0,0,90,17,95,82,65,87, + 95,77,65,71,73,67,95,78,85,77,66,69,82,114,74,0, + 0,0,114,73,0,0,0,114,85,0,0,0,114,75,0,0, + 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, + 85,70,70,73,88,69,83,114,80,0,0,0,114,86,0,0, + 0,114,92,0,0,0,114,96,0,0,0,114,98,0,0,0, + 114,117,0,0,0,114,124,0,0,0,114,136,0,0,0,114, + 142,0,0,0,114,145,0,0,0,114,150,0,0,0,218,6, + 111,98,106,101,99,116,114,157,0,0,0,114,162,0,0,0, + 114,163,0,0,0,114,179,0,0,0,114,189,0,0,0,114, + 205,0,0,0,114,213,0,0,0,114,218,0,0,0,114,224, + 0,0,0,114,219,0,0,0,114,225,0,0,0,114,244,0, + 0,0,114,246,0,0,0,114,3,1,0,0,114,21,1,0, + 0,114,156,0,0,0,114,30,1,0,0,114,32,1,0,0, + 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, + 0,0,115,102,0,0,0,4,17,4,3,8,12,8,5,8, + 5,8,6,8,12,8,10,8,9,8,5,8,7,10,22,10, + 116,16,1,12,2,4,1,4,2,6,2,6,2,8,2,16, + 44,8,33,8,19,8,12,8,12,8,28,8,17,10,55,10, + 12,10,10,8,14,6,3,4,1,14,65,14,64,14,29,16, + 110,14,41,18,45,18,16,4,3,18,53,14,60,14,42,14, + 127,0,7,14,127,0,20,10,23,8,11,8,68, }; diff --git a/Python/opcode_targets.h b/Python/opcode_targets.h index 0fec93470f..6182e806c1 100644 --- a/Python/opcode_targets.h +++ b/Python/opcode_targets.h @@ -133,7 +133,7 @@ static void *opcode_targets[256] = { &&TARGET_CALL_FUNCTION, &&TARGET_MAKE_FUNCTION, &&TARGET_BUILD_SLICE, - &&TARGET_MAKE_CLOSURE, + &&_unknown_opcode, &&TARGET_LOAD_CLOSURE, &&TARGET_LOAD_DEREF, &&TARGET_STORE_DEREF, -- cgit v1.2.1 From 008c426d4a560e63e9a5c56491de91c72417c68b Mon Sep 17 00:00:00 2001 From: doko Date: Tue, 14 Jun 2016 08:55:19 +0200 Subject: - Issue #23968: Rename the platform directory from plat-$(MACHDEP) to plat-$(PLATFORM_TRIPLET). Rename the config directory (LIBPL) from config-$(LDVERSION) to config-$(LDVERSION)-$(PLATFORM_TRIPLET). Install the platform specifc _sysconfigdata module into the platform directory and rename it to include the ABIFLAGS. --- Python/sysmodule.c | 10 ++++++++++ 1 file changed, 10 insertions(+) (limited to 'Python') diff --git a/Python/sysmodule.c b/Python/sysmodule.c index b5199125a5..56175d9544 100644 --- a/Python/sysmodule.c +++ b/Python/sysmodule.c @@ -1693,6 +1693,16 @@ make_impl_info(PyObject *version_info) if (res < 0) goto error; +#ifdef MULTIARCH + value = PyUnicode_FromString(MULTIARCH); + if (value == NULL) + goto error; + res = PyDict_SetItemString(impl_info, "_multiarch", value); + Py_DECREF(value); + if (res < 0) + goto error; +#endif + /* dict ready */ ns = _PyNamespace_New(impl_info); -- cgit v1.2.1 From 088d15c842d57bdfd50d942d315e8f7761331de6 Mon Sep 17 00:00:00 2001 From: Berker Peksag Date: Fri, 17 Jun 2016 13:25:01 +0300 Subject: Issue #27336: Fix compilation failures --without-threads --- Python/pylifecycle.c | 2 ++ Python/traceback.c | 2 +- 2 files changed, 3 insertions(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index 7187fe448a..12a5d4c8b7 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -746,9 +746,11 @@ Py_NewInterpreter(void) if (!initialized) Py_FatalError("Py_NewInterpreter: call Py_Initialize first"); +#if WITH_THREAD /* Issue #10915, #15751: The GIL API doesn't work with multiple interpreters: disable PyGILState_Check(). */ _PyGILState_check_enabled = 0; +#endif interp = PyInterpreterState_New(); if (interp == NULL) diff --git a/Python/traceback.c b/Python/traceback.c index 62a6b1e1a2..59552cae85 100644 --- a/Python/traceback.c +++ b/Python/traceback.c @@ -745,7 +745,7 @@ _Py_DumpTracebackThreads(int fd, PyInterpreterState *interp, if (current_tstate == NULL) { /* Call _PyThreadState_UncheckedGet() instead of PyThreadState_Get() to not fail with a fatal error if the thread state is NULL. */ - current_thread = _PyThreadState_UncheckedGet(); + current_tstate = _PyThreadState_UncheckedGet(); } if (interp == NULL) { -- cgit v1.2.1 From 8a5c0e95b0a8c9109ca4395491612bf6f6856e3e Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Fri, 17 Jun 2016 12:29:00 +0200 Subject: Issue #27336: Fix compilation on Windows Replace "#if WITH_THREAD" with "#ifdef WITH_THREAD". --- Python/pylifecycle.c | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'Python') diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index 12a5d4c8b7..72a00e671f 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -746,7 +746,7 @@ Py_NewInterpreter(void) if (!initialized) Py_FatalError("Py_NewInterpreter: call Py_Initialize first"); -#if WITH_THREAD +#ifdef WITH_THREAD /* Issue #10915, #15751: The GIL API doesn't work with multiple interpreters: disable PyGILState_Check(). */ _PyGILState_check_enabled = 0; @@ -1409,7 +1409,7 @@ exit: /* Clean up and exit */ #ifdef WITH_THREAD -#include "pythread.h" +# include "pythread.h" #endif static void (*pyexitfunc)(void) = NULL; -- cgit v1.2.1 From 58f210b76b9128791152d4bc9431434221439ca9 Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Sat, 18 Jun 2016 09:44:03 +0300 Subject: Issue #27342: Replaced some Py_XDECREFs with Py_DECREFs. Patch by Xiang Zhang. --- Python/bltinmodule.c | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index 0637a2ded9..7d35cdbf46 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -2711,10 +2711,10 @@ _PyBuiltin_Init(void) SETBUILTIN("zip", &PyZip_Type); debug = PyBool_FromLong(Py_OptimizeFlag == 0); if (PyDict_SetItemString(dict, "__debug__", debug) < 0) { - Py_XDECREF(debug); + Py_DECREF(debug); return NULL; } - Py_XDECREF(debug); + Py_DECREF(debug); return mod; #undef ADD_TO_ALL -- cgit v1.2.1 From c0b41a4a9d4af3fb92d612dc4ca041864d64c5e1 Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Mon, 27 Jun 2016 18:58:57 +0300 Subject: Issue #27255: Added more predictions in ceval.c. --- Python/ceval.c | 14 ++++++++++++-- 1 file changed, 12 insertions(+), 2 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 38ac509117..341d36df48 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -1000,8 +1000,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) /* OpCode prediction macros Some opcodes tend to come in pairs thus making it possible to predict the second code when the first is run. For example, - COMPARE_OP is often followed by JUMP_IF_FALSE or JUMP_IF_TRUE. And, - those opcodes are often followed by a POP_TOP. + COMPARE_OP is often followed by POP_JUMP_IF_FALSE or POP_JUMP_IF_TRUE. Verifying the prediction costs a single high-speed test of a register variable against a constant. If the pairing was good, then the @@ -1379,6 +1378,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) FAST_DISPATCH(); } + PREDICTED(LOAD_CONST); TARGET(LOAD_CONST) { PyObject *value = GETITEM(consts, oparg); Py_INCREF(value); @@ -2008,6 +2008,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) } SET_TOP(awaitable); + PREDICT(LOAD_CONST); DISPATCH(); } @@ -2050,9 +2051,11 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) Py_DECREF(next_iter); PUSH(awaitable); + PREDICT(LOAD_CONST); DISPATCH(); } + PREDICTED(GET_AWAITABLE); TARGET(GET_AWAITABLE) { PyObject *iterable = TOP(); PyObject *iter = _PyCoro_GetAwaitableIter(iterable); @@ -2080,6 +2083,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) goto error; } + PREDICT(LOAD_CONST); DISPATCH(); } @@ -2135,6 +2139,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) DISPATCH(); } + PREDICTED(POP_BLOCK); TARGET(POP_BLOCK) { PyTryBlock *b = PyFrame_BlockPop(f); UNWIND_BLOCK(b); @@ -3015,6 +3020,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) if (iter == NULL) goto error; PREDICT(FOR_ITER); + PREDICT(CALL_FUNCTION); DISPATCH(); } @@ -3043,6 +3049,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) if (iter == NULL) goto error; } + PREDICT(LOAD_CONST); DISPATCH(); } @@ -3068,6 +3075,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) STACKADJ(-1); Py_DECREF(iter); JUMPBY(oparg); + PREDICT(POP_BLOCK); DISPATCH(); } @@ -3117,6 +3125,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) if (res == NULL) goto error; PUSH(res); + PREDICT(GET_AWAITABLE); DISPATCH(); } @@ -3265,6 +3274,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) DISPATCH(); } + PREDICTED(CALL_FUNCTION); TARGET(CALL_FUNCTION) { PyObject **sp, *res; PCALL(PCALL_ALL); -- cgit v1.2.1 From e6bfce7e71d0ab3c4226fe23aa638b74b84cb677 Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Mon, 27 Jun 2016 21:39:12 +0300 Subject: Issue #27352: Correct the validation of the ImportFrom AST node and simplify the implementation of the IMPORT_NAME opcode. --- Python/ast.c | 4 ++-- Python/ceval.c | 10 +--------- 2 files changed, 3 insertions(+), 11 deletions(-) (limited to 'Python') diff --git a/Python/ast.c b/Python/ast.c index 1efd0b7daa..8c13e0b29c 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -475,8 +475,8 @@ validate_stmt(stmt_ty stmt) case Import_kind: return validate_nonempty_seq(stmt->v.Import.names, "names", "Import"); case ImportFrom_kind: - if (stmt->v.ImportFrom.level < -1) { - PyErr_SetString(PyExc_ValueError, "ImportFrom level less than -1"); + if (stmt->v.ImportFrom.level < 0) { + PyErr_SetString(PyExc_ValueError, "Negative ImportFrom level"); return 0; } return validate_nonempty_seq(stmt->v.ImportFrom.names, "names", "ImportFrom"); diff --git a/Python/ceval.c b/Python/ceval.c index 341d36df48..2b4f7ccfaa 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -2820,21 +2820,13 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) Py_INCREF(func); from = POP(); level = TOP(); - if (PyLong_AsLong(level) != -1 || PyErr_Occurred()) - args = PyTuple_Pack(5, + args = PyTuple_Pack(5, name, f->f_globals, f->f_locals == NULL ? Py_None : f->f_locals, from, level); - else - args = PyTuple_Pack(4, - name, - f->f_globals, - f->f_locals == NULL ? - Py_None : f->f_locals, - from); Py_DECREF(level); Py_DECREF(from); if (args == NULL) { -- cgit v1.2.1 From ca47ebf3fce4e3b9f9a29136bcfd77994e8c481e Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Sun, 3 Jul 2016 21:03:53 +0300 Subject: Issue #23034: The output of a special Python build with defined COUNT_ALLOCS, SHOW_ALLOC_COUNT or SHOW_TRACK_COUNT macros is now off by default. It can be re-enabled using the "-X showalloccount" option. It now outputs to stderr instead of stdout. --- Python/pylifecycle.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index 72a00e671f..2d2dcba016 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -626,7 +626,7 @@ Py_FinalizeEx(void) /* Debugging stuff */ #ifdef COUNT_ALLOCS - dump_counts(stdout); + dump_counts(stderr); #endif /* dump hash stats */ _PyHash_Fini(); -- cgit v1.2.1 From 8a33284d191025bc387644666807311eb7d60384 Mon Sep 17 00:00:00 2001 From: Brett Cannon Date: Fri, 8 Jul 2016 11:00:00 -0700 Subject: Issue #26896: Disambiguate uses of "importer" with "finder". Thanks to Oren Milman for the patch. --- Python/import.c | 7 ++++--- 1 file changed, 4 insertions(+), 3 deletions(-) (limited to 'Python') diff --git a/Python/import.c b/Python/import.c index d791624481..bdc7e4cfa7 100644 --- a/Python/import.c +++ b/Python/import.c @@ -950,12 +950,13 @@ is_builtin(PyObject *name) } -/* Return an importer object for a sys.path/pkg.__path__ item 'p', +/* Return a finder object for a sys.path/pkg.__path__ item 'p', possibly by fetching it from the path_importer_cache dict. If it wasn't yet cached, traverse path_hooks until a hook is found that can handle the path item. Return None if no hook could; - this tells our caller it should fall back to the builtin - import mechanism. Cache the result in path_importer_cache. + this tells our caller that the path based finder could not find + a finder for this path item. Cache the result in + path_importer_cache. Returns a borrowed reference. */ static PyObject * -- cgit v1.2.1 From f0fb70b98e301b0495428752c349c69e830f60f3 Mon Sep 17 00:00:00 2001 From: Brett Cannon Date: Fri, 8 Jul 2016 16:44:54 -0700 Subject: Update frozen importlib code --- Python/importlib.h | 1687 ++++++++++++++++++++++--------------------- Python/importlib_external.h | 1193 +++++++++++++++--------------- 2 files changed, 1440 insertions(+), 1440 deletions(-) (limited to 'Python') diff --git a/Python/importlib.h b/Python/importlib.h index e3364b3fa8..0e90e57f1a 100644 --- a/Python/importlib.h +++ b/Python/importlib.h @@ -1030,855 +1030,856 @@ const unsigned char _Py_M__importlib[] = { 116,12,124,0,106,9,100,7,131,2,115,162,124,0,106,9, 106,13,124,2,131,1,1,0,110,12,124,0,106,9,106,14, 124,1,131,1,1,0,87,0,100,3,81,0,82,0,88,0, - 116,4,106,5,124,2,25,0,83,0,41,8,122,51,69,120, - 101,99,117,116,101,32,116,104,101,32,115,112,101,99,32,105, - 110,32,97,110,32,101,120,105,115,116,105,110,103,32,109,111, - 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, - 115,114,15,0,0,0,78,122,14,109,105,115,115,105,110,103, - 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, - 110,0,0,0,114,137,0,0,0,114,4,0,0,0,218,11, - 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, - 0,0,0,0,2,6,1,8,1,10,1,16,1,10,1,14, - 1,10,1,10,1,16,2,16,1,4,1,16,1,12,4,14, - 2,22,1,114,86,0,0,0,99,1,0,0,0,0,0,0, - 0,2,0,0,0,27,0,0,0,67,0,0,0,115,206,0, - 0,0,124,0,106,0,106,1,124,0,106,2,131,1,1,0, - 116,3,106,4,124,0,106,2,25,0,125,1,116,5,124,1, - 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124,6,100,0,107,8,114,176,116,8,116,6,106,7,124,0, - 131,1,100,4,124,0,144,1,131,1,130,1,110,8,116,10, - 124,6,131,1,125,7,124,3,114,220,116,1,106,2,124,3, - 25,0,125,4,116,11,124,4,124,0,106,0,100,1,131,1, - 100,5,25,0,124,7,131,3,1,0,124,7,83,0,41,6, - 78,114,121,0,0,0,114,33,0,0,0,122,23,59,32,123, - 33,114,125,32,105,115,32,110,111,116,32,97,32,112,97,99, - 107,97,103,101,114,15,0,0,0,114,141,0,0,0,41,12, - 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, - 88,0,0,0,114,89,0,0,0,114,10,0,0,0,114,10, - 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, - 100,181,3,0,0,115,42,0,0,0,0,1,4,1,14,1, - 4,1,10,1,10,2,10,1,10,1,10,1,2,1,10,1, - 14,1,16,1,22,1,10,1,8,1,22,2,8,1,4,2, - 10,1,22,1,114,185,0,0,0,99,2,0,0,0,0,0, - 0,0,2,0,0,0,10,0,0,0,67,0,0,0,115,30, - 0,0,0,116,0,124,0,131,1,143,12,1,0,116,1,124, - 0,124,1,131,2,83,0,81,0,82,0,88,0,100,1,83, - 0,41,2,122,54,70,105,110,100,32,97,110,100,32,108,111, - 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, - 184,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11, - 0,0,0,218,14,95,102,105,110,100,95,97,110,100,95,108, - 111,97,100,208,3,0,0,115,4,0,0,0,0,2,10,1, - 114,186,0,0,0,114,33,0,0,0,99,3,0,0,0,0, - 0,0,0,5,0,0,0,4,0,0,0,67,0,0,0,115, - 122,0,0,0,116,0,124,0,124,1,124,2,131,3,1,0, - 124,2,100,1,107,4,114,32,116,1,124,0,124,1,124,2, - 131,3,125,0,116,2,106,3,131,0,1,0,124,0,116,4, - 106,5,107,7,114,60,116,6,124,0,116,7,131,2,83,0, - 116,4,106,5,124,0,25,0,125,3,124,3,100,2,107,8, - 114,110,116,2,106,8,131,0,1,0,100,3,106,9,124,0, - 131,1,125,4,116,10,124,4,100,4,124,0,144,1,131,1, - 130,1,116,11,124,0,131,1,1,0,124,3,83,0,41,5, - 97,50,1,0,0,73,109,112,111,114,116,32,97,110,100,32, - 114,101,116,117,114,110,32,116,104,101,32,109,111,100,117,108, - 101,32,98,97,115,101,100,32,111,110,32,105,116,115,32,110, - 97,109,101,44,32,116,104,101,32,112,97,99,107,97,103,101, - 32,116,104,101,32,99,97,108,108,32,105,115,10,32,32,32, - 32,98,101,105,110,103,32,109,97,100,101,32,102,114,111,109, - 44,32,97,110,100,32,116,104,101,32,108,101,118,101,108,32, - 97,100,106,117,115,116,109,101,110,116,46,10,10,32,32,32, - 32,84,104,105,115,32,102,117,110,99,116,105,111,110,32,114, - 101,112,114,101,115,101,110,116,115,32,116,104,101,32,103,114, - 101,97,116,101,115,116,32,99,111,109,109,111,110,32,100,101, - 110,111,109,105,110,97,116,111,114,32,111,102,32,102,117,110, - 99,116,105,111,110,97,108,105,116,121,10,32,32,32,32,98, - 101,116,119,101,101,110,32,105,109,112,111,114,116,95,109,111, - 100,117,108,101,32,97,110,100,32,95,95,105,109,112,111,114, - 116,95,95,46,32,84,104,105,115,32,105,110,99,108,117,100, - 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, - 46,10,10,32,32,32,32,114,33,0,0,0,78,122,40,105, - 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, - 0,0,0,114,89,0,0,0,114,74,0,0,0,114,10,0, - 0,0,114,10,0,0,0,114,11,0,0,0,114,187,0,0, - 0,214,3,0,0,115,28,0,0,0,0,9,12,1,8,1, - 12,1,8,1,10,1,10,1,10,1,8,1,8,1,4,1, - 6,1,14,1,8,1,114,187,0,0,0,99,3,0,0,0, - 0,0,0,0,6,0,0,0,17,0,0,0,67,0,0,0, - 115,178,0,0,0,116,0,124,0,100,1,131,2,114,174,100, - 2,124,1,107,6,114,58,116,1,124,1,131,1,125,1,124, - 1,106,2,100,2,131,1,1,0,116,0,124,0,100,3,131, - 2,114,58,124,1,106,3,124,0,106,4,131,1,1,0,120, - 114,124,1,68,0,93,106,125,3,116,0,124,0,124,3,131, - 2,115,64,100,4,106,5,124,0,106,6,124,3,131,2,125, - 4,121,14,116,7,124,2,124,4,131,2,1,0,87,0,113, - 64,4,0,116,8,107,10,114,168,1,0,125,5,1,0,122, - 34,116,9,124,5,131,1,106,10,116,11,131,1,114,150,124, - 5,106,12,124,4,107,2,114,150,119,64,130,0,87,0,89, - 0,100,5,100,5,125,5,126,5,88,0,113,64,88,0,113, - 64,87,0,124,0,83,0,41,6,122,238,70,105,103,117,114, - 101,32,111,117,116,32,119,104,97,116,32,95,95,105,109,112, - 111,114,116,95,95,32,115,104,111,117,108,100,32,114,101,116, - 117,114,110,46,10,10,32,32,32,32,84,104,101,32,105,109, - 112,111,114,116,95,32,112,97,114,97,109,101,116,101,114,32, - 105,115,32,97,32,99,97,108,108,97,98,108,101,32,119,104, - 105,99,104,32,116,97,107,101,115,32,116,104,101,32,110,97, - 109,101,32,111,102,32,109,111,100,117,108,101,32,116,111,10, - 32,32,32,32,105,109,112,111,114,116,46,32,73,116,32,105, - 115,32,114,101,113,117,105,114,101,100,32,116,111,32,100,101, - 99,111,117,112,108,101,32,116,104,101,32,102,117,110,99,116, - 105,111,110,32,102,114,111,109,32,97,115,115,117,109,105,110, - 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, - 101,100,46,10,10,32,32,32,32,114,131,0,0,0,250,1, - 42,218,7,95,95,97,108,108,95,95,122,5,123,125,46,123, - 125,78,41,13,114,4,0,0,0,114,130,0,0,0,218,6, - 114,101,109,111,118,101,218,6,101,120,116,101,110,100,114,189, - 0,0,0,114,50,0,0,0,114,1,0,0,0,114,65,0, - 0,0,114,77,0,0,0,114,179,0,0,0,114,71,0,0, - 0,218,15,95,69,82,82,95,77,83,71,95,80,82,69,70, - 73,88,114,15,0,0,0,41,6,114,89,0,0,0,218,8, - 102,114,111,109,108,105,115,116,114,184,0,0,0,218,1,120, - 90,9,102,114,111,109,95,110,97,109,101,90,3,101,120,99, - 114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,218, - 16,95,104,97,110,100,108,101,95,102,114,111,109,108,105,115, - 116,238,3,0,0,115,34,0,0,0,0,10,10,1,8,1, - 8,1,10,1,10,1,12,1,10,1,10,1,14,1,2,1, - 14,1,16,4,14,1,10,1,2,1,24,1,114,195,0,0, - 0,99,1,0,0,0,0,0,0,0,3,0,0,0,7,0, - 0,0,67,0,0,0,115,160,0,0,0,124,0,106,0,100, - 1,131,1,125,1,124,0,106,0,100,2,131,1,125,2,124, - 1,100,3,107,9,114,92,124,2,100,3,107,9,114,86,124, - 1,124,2,106,1,107,3,114,86,116,2,106,3,100,4,106, - 4,100,5,124,1,155,2,100,6,124,2,106,1,155,2,100, - 7,103,5,131,1,116,5,100,8,100,9,144,1,131,2,1, - 0,124,1,83,0,110,64,124,2,100,3,107,9,114,108,124, - 2,106,1,83,0,110,48,116,2,106,3,100,10,116,5,100, - 8,100,9,144,1,131,2,1,0,124,0,100,11,25,0,125, - 1,100,12,124,0,107,7,114,156,124,1,106,6,100,13,131, - 1,100,14,25,0,125,1,124,1,83,0,41,15,122,167,67, - 97,108,99,117,108,97,116,101,32,119,104,97,116,32,95,95, - 112,97,99,107,97,103,101,95,95,32,115,104,111,117,108,100, - 32,98,101,46,10,10,32,32,32,32,95,95,112,97,99,107, - 97,103,101,95,95,32,105,115,32,110,111,116,32,103,117,97, - 114,97,110,116,101,101,100,32,116,111,32,98,101,32,100,101, - 102,105,110,101,100,32,111,114,32,99,111,117,108,100,32,98, - 101,32,115,101,116,32,116,111,32,78,111,110,101,10,32,32, - 32,32,116,111,32,114,101,112,114,101,115,101,110,116,32,116, - 104,97,116,32,105,116,115,32,112,114,111,112,101,114,32,118, - 97,108,117,101,32,105,115,32,117,110,107,110,111,119,110,46, - 10,10,32,32,32,32,114,134,0,0,0,114,95,0,0,0, - 78,218,0,122,32,95,95,112,97,99,107,97,103,101,95,95, - 32,33,61,32,95,95,115,112,101,99,95,95,46,112,97,114, - 101,110,116,32,40,122,4,32,33,61,32,250,1,41,114,140, - 0,0,0,233,3,0,0,0,122,89,99,97,110,39,116,32, - 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, - 104,95,95,114,1,0,0,0,114,131,0,0,0,114,121,0, - 0,0,114,33,0,0,0,41,7,114,42,0,0,0,114,123, - 0,0,0,114,142,0,0,0,114,143,0,0,0,114,115,0, - 0,0,114,176,0,0,0,114,122,0,0,0,41,3,218,7, - 103,108,111,98,97,108,115,114,170,0,0,0,114,88,0,0, - 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, - 101,95,95,14,4,0,0,115,30,0,0,0,0,7,10,1, - 10,1,8,1,18,1,28,2,12,1,6,1,8,1,8,2, - 6,2,12,1,8,1,8,1,14,1,114,200,0,0,0,99, - 5,0,0,0,0,0,0,0,9,0,0,0,5,0,0,0, - 67,0,0,0,115,170,0,0,0,124,4,100,1,107,2,114, - 18,116,0,124,0,131,1,125,5,110,36,124,1,100,2,107, - 9,114,30,124,1,110,2,105,0,125,6,116,1,124,6,131, - 1,125,7,116,0,124,0,124,7,124,4,131,3,125,5,124, - 3,115,154,124,4,100,1,107,2,114,86,116,0,124,0,106, - 2,100,3,131,1,100,1,25,0,131,1,83,0,113,166,124, - 0,115,96,124,5,83,0,113,166,116,3,124,0,131,1,116, - 3,124,0,106,2,100,3,131,1,100,1,25,0,131,1,24, - 0,125,8,116,4,106,5,124,5,106,6,100,2,116,3,124, - 5,106,6,131,1,124,8,24,0,133,2,25,0,25,0,83, - 0,110,12,116,7,124,5,124,3,116,0,131,3,83,0,100, - 2,83,0,41,4,97,215,1,0,0,73,109,112,111,114,116, - 32,97,32,109,111,100,117,108,101,46,10,10,32,32,32,32, - 84,104,101,32,39,103,108,111,98,97,108,115,39,32,97,114, - 103,117,109,101,110,116,32,105,115,32,117,115,101,100,32,116, - 111,32,105,110,102,101,114,32,119,104,101,114,101,32,116,104, - 101,32,105,109,112,111,114,116,32,105,115,32,111,99,99,117, - 114,114,105,110,103,32,102,114,111,109,10,32,32,32,32,116, - 111,32,104,97,110,100,108,101,32,114,101,108,97,116,105,118, - 101,32,105,109,112,111,114,116,115,46,32,84,104,101,32,39, - 108,111,99,97,108,115,39,32,97,114,103,117,109,101,110,116, - 32,105,115,32,105,103,110,111,114,101,100,46,32,84,104,101, - 10,32,32,32,32,39,102,114,111,109,108,105,115,116,39,32, - 97,114,103,117,109,101,110,116,32,115,112,101,99,105,102,105, - 101,115,32,119,104,97,116,32,115,104,111,117,108,100,32,101, - 120,105,115,116,32,97,115,32,97,116,116,114,105,98,117,116, - 101,115,32,111,110,32,116,104,101,32,109,111,100,117,108,101, - 10,32,32,32,32,98,101,105,110,103,32,105,109,112,111,114, - 116,101,100,32,40,101,46,103,46,32,96,96,102,114,111,109, - 32,109,111,100,117,108,101,32,105,109,112,111,114,116,32,60, - 102,114,111,109,108,105,115,116,62,96,96,41,46,32,32,84, - 104,101,32,39,108,101,118,101,108,39,10,32,32,32,32,97, - 114,103,117,109,101,110,116,32,114,101,112,114,101,115,101,110, - 116,115,32,116,104,101,32,112,97,99,107,97,103,101,32,108, - 111,99,97,116,105,111,110,32,116,111,32,105,109,112,111,114, - 116,32,102,114,111,109,32,105,110,32,97,32,114,101,108,97, - 116,105,118,101,10,32,32,32,32,105,109,112,111,114,116,32, - 40,101,46,103,46,32,96,96,102,114,111,109,32,46,46,112, - 107,103,32,105,109,112,111,114,116,32,109,111,100,96,96,32, - 119,111,117,108,100,32,104,97,118,101,32,97,32,39,108,101, - 118,101,108,39,32,111,102,32,50,41,46,10,10,32,32,32, - 32,114,33,0,0,0,78,114,121,0,0,0,41,8,114,187, - 0,0,0,114,200,0,0,0,218,9,112,97,114,116,105,116, - 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, - 0,0,0,114,199,0,0,0,218,6,108,111,99,97,108,115, - 114,193,0,0,0,114,171,0,0,0,114,89,0,0,0,90, - 8,103,108,111,98,97,108,115,95,114,170,0,0,0,90,7, - 99,117,116,95,111,102,102,114,10,0,0,0,114,10,0,0, - 0,114,11,0,0,0,218,10,95,95,105,109,112,111,114,116, - 95,95,41,4,0,0,115,26,0,0,0,0,11,8,1,10, - 2,16,1,8,1,12,1,4,3,8,1,20,1,4,1,6, - 4,26,3,32,2,114,203,0,0,0,99,1,0,0,0,0, - 0,0,0,2,0,0,0,3,0,0,0,67,0,0,0,115, - 38,0,0,0,116,0,106,1,124,0,131,1,125,1,124,1, - 100,0,107,8,114,30,116,2,100,1,124,0,23,0,131,1, - 130,1,116,3,124,1,131,1,83,0,41,2,78,122,25,110, - 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, 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0,0,115,50,0,0,0,0,9,4,1,4,3,8,1,20, + 1,10,1,10,1,6,1,10,1,6,2,2,1,10,1,14, + 3,10,1,10,1,10,1,10,2,10,1,16,3,2,1,12, + 1,14,2,10,1,12,3,8,1,114,208,0,0,0,99,2, + 0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,67, + 0,0,0,115,66,0,0,0,116,0,124,0,124,1,131,2, + 1,0,116,1,106,2,106,3,116,4,131,1,1,0,116,1, + 106,2,106,3,116,5,131,1,1,0,100,1,100,2,108,6, + 125,2,124,2,97,7,124,2,106,8,116,1,106,9,116,10, + 25,0,131,1,1,0,100,2,83,0,41,3,122,50,73,110, + 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, + 114,33,0,0,0,78,41,11,114,208,0,0,0,114,14,0, + 0,0,114,175,0,0,0,114,113,0,0,0,114,151,0,0, + 0,114,161,0,0,0,218,26,95,102,114,111,122,101,110,95, + 105,109,112,111,114,116,108,105,98,95,101,120,116,101,114,110, + 97,108,114,119,0,0,0,218,8,95,105,110,115,116,97,108, + 108,114,21,0,0,0,114,1,0,0,0,41,3,114,206,0, + 0,0,114,207,0,0,0,114,209,0,0,0,114,10,0,0, + 0,114,10,0,0,0,114,11,0,0,0,114,210,0,0,0, + 130,4,0,0,115,12,0,0,0,0,2,10,2,12,1,12, + 3,8,1,4,1,114,210,0,0,0,41,2,78,78,41,1, + 78,41,2,78,114,33,0,0,0,41,51,114,3,0,0,0, + 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, + 114,187,0,0,0,114,195,0,0,0,114,200,0,0,0,114, + 203,0,0,0,114,204,0,0,0,114,208,0,0,0,114,210, + 0,0,0,114,10,0,0,0,114,10,0,0,0,114,10,0, + 0,0,114,11,0,0,0,218,8,60,109,111,100,117,108,101, + 62,8,0,0,0,115,96,0,0,0,4,17,4,2,8,8, + 8,4,14,20,4,2,4,3,16,4,14,68,14,21,14,19, + 8,19,8,19,8,11,14,8,8,11,8,12,8,16,8,36, + 14,27,14,101,16,26,6,3,10,45,14,60,8,18,8,17, + 8,25,8,29,8,23,8,16,14,73,14,77,14,13,8,9, + 8,9,10,47,8,20,4,1,8,2,8,27,8,6,10,24, + 8,32,8,27,18,35,8,7,8,47, }; diff --git a/Python/importlib_external.h b/Python/importlib_external.h index ba2f6bba9b..5ff72de436 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -1821,606 +1821,605 @@ const unsigned char _Py_M__importlib_external[] = { 106,1,68,0,93,36,125,2,121,8,124,2,124,1,131,1, 83,0,4,0,116,5,107,10,114,72,1,0,1,0,1,0, 119,38,89,0,113,38,88,0,113,38,87,0,100,1,83,0, - 100,1,83,0,41,3,122,113,83,101,97,114,99,104,32,115, - 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, - 95,104,111,111,107,115,114,61,0,0,0,114,62,0,0,0, - 114,119,0,0,0,114,100,0,0,0,41,3,114,165,0,0, - 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, - 116,104,95,104,111,111,107,115,25,4,0,0,115,16,0,0, - 0,0,7,18,1,12,1,12,1,2,1,8,1,14,1,12, - 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, - 0,0,3,0,0,0,19,0,0,0,67,0,0,0,115,102, - 0,0,0,124,1,100,1,107,2,114,42,121,12,116,0,106, - 1,131,0,125,1,87,0,110,20,4,0,116,2,107,10,114, - 40,1,0,1,0,1,0,100,2,83,0,88,0,121,14,116, - 3,106,4,124,1,25,0,125,2,87,0,110,40,4,0,116, - 5,107,10,114,96,1,0,1,0,1,0,124,0,106,6,124, - 1,131,1,125,2,124,2,116,3,106,4,124,1,60,0,89, - 0,110,2,88,0,124,2,83,0,41,3,122,210,71,101,116, - 32,116,104,101,32,102,105,110,100,101,114,32,102,111,114,32, - 116,104,101,32,112,97,116,104,32,101,110,116,114,121,32,102, - 114,111,109,32,115,121,115,46,112,97,116,104,95,105,109,112, - 111,114,116,101,114,95,99,97,99,104,101,46,10,10,32,32, - 32,32,32,32,32,32,73,102,32,116,104,101,32,112,97,116, - 104,32,101,110,116,114,121,32,105,115,32,110,111,116,32,105, - 110,32,116,104,101,32,99,97,99,104,101,44,32,102,105,110, - 100,32,116,104,101,32,97,112,112,114,111,112,114,105,97,116, - 101,32,102,105,110,100,101,114,10,32,32,32,32,32,32,32, - 32,97,110,100,32,99,97,99,104,101,32,105,116,46,32,73, - 102,32,110,111,32,102,105,110,100,101,114,32,105,115,32,97, - 118,97,105,108,97,98,108,101,44,32,115,116,111,114,101,32, - 78,111,110,101,46,10,10,32,32,32,32,32,32,32,32,114, - 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, - 114,114,111,114,114,7,0,0,0,114,248,0,0,0,114,132, - 0,0,0,114,252,0,0,0,41,3,114,165,0,0,0,114, - 35,0,0,0,114,250,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,5,0,0,0,218,20,95,112,97,116,104,95, - 105,109,112,111,114,116,101,114,95,99,97,99,104,101,42,4, - 0,0,115,22,0,0,0,0,8,8,1,2,1,12,1,14, - 3,6,1,2,1,14,1,14,1,10,1,16,1,122,31,80, - 97,116,104,70,105,110,100,101,114,46,95,112,97,116,104,95, - 105,109,112,111,114,116,101,114,95,99,97,99,104,101,99,3, - 0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,67, - 0,0,0,115,82,0,0,0,116,0,124,2,100,1,131,2, - 114,26,124,2,106,1,124,1,131,1,92,2,125,3,125,4, - 110,14,124,2,106,2,124,1,131,1,125,3,103,0,125,4, - 124,3,100,0,107,9,114,60,116,3,106,4,124,1,124,3, - 131,2,83,0,116,3,106,5,124,1,100,0,131,2,125,5, - 124,4,124,5,95,6,124,5,83,0,41,2,78,114,118,0, - 0,0,41,7,114,109,0,0,0,114,118,0,0,0,114,177, - 0,0,0,114,115,0,0,0,114,174,0,0,0,114,155,0, - 0,0,114,151,0,0,0,41,6,114,165,0,0,0,114,120, - 0,0,0,114,250,0,0,0,114,121,0,0,0,114,122,0, - 0,0,114,159,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,5,0,0,0,218,16,95,108,101,103,97,99,121,95, - 103,101,116,95,115,112,101,99,64,4,0,0,115,18,0,0, - 0,0,4,10,1,16,2,10,1,4,1,8,1,12,1,12, - 1,6,1,122,27,80,97,116,104,70,105,110,100,101,114,46, - 95,108,101,103,97,99,121,95,103,101,116,95,115,112,101,99, - 78,99,4,0,0,0,0,0,0,0,9,0,0,0,5,0, - 0,0,67,0,0,0,115,170,0,0,0,103,0,125,4,120, - 160,124,2,68,0,93,130,125,5,116,0,124,5,116,1,116, - 2,102,2,131,2,115,30,113,10,124,0,106,3,124,5,131, - 1,125,6,124,6,100,1,107,9,114,10,116,4,124,6,100, - 2,131,2,114,72,124,6,106,5,124,1,124,3,131,2,125, - 7,110,12,124,0,106,6,124,1,124,6,131,2,125,7,124, - 7,100,1,107,8,114,94,113,10,124,7,106,7,100,1,107, - 9,114,108,124,7,83,0,124,7,106,8,125,8,124,8,100, - 1,107,8,114,130,116,9,100,3,131,1,130,1,124,4,106, - 10,124,8,131,1,1,0,113,10,87,0,116,11,106,12,124, - 1,100,1,131,2,125,7,124,4,124,7,95,8,124,7,83, - 0,100,1,83,0,41,4,122,63,70,105,110,100,32,116,104, - 101,32,108,111,97,100,101,114,32,111,114,32,110,97,109,101, - 115,112,97,99,101,95,112,97,116,104,32,102,111,114,32,116, - 104,105,115,32,109,111,100,117,108,101,47,112,97,99,107,97, - 103,101,32,110,97,109,101,46,78,114,176,0,0,0,122,19, - 115,112,101,99,32,109,105,115,115,105,110,103,32,108,111,97, - 100,101,114,41,13,114,138,0,0,0,114,70,0,0,0,218, - 5,98,121,116,101,115,114,254,0,0,0,114,109,0,0,0, - 114,176,0,0,0,114,255,0,0,0,114,121,0,0,0,114, - 151,0,0,0,114,100,0,0,0,114,144,0,0,0,114,115, - 0,0,0,114,155,0,0,0,41,9,114,165,0,0,0,114, - 120,0,0,0,114,35,0,0,0,114,175,0,0,0,218,14, - 110,97,109,101,115,112,97,99,101,95,112,97,116,104,90,5, - 101,110,116,114,121,114,250,0,0,0,114,159,0,0,0,114, - 122,0,0,0,114,4,0,0,0,114,4,0,0,0,114,5, - 0,0,0,218,9,95,103,101,116,95,115,112,101,99,79,4, - 0,0,115,40,0,0,0,0,5,4,1,10,1,14,1,2, - 1,10,1,8,1,10,1,14,2,12,1,8,1,2,1,10, - 1,4,1,6,1,8,1,8,5,14,2,12,1,6,1,122, - 20,80,97,116,104,70,105,110,100,101,114,46,95,103,101,116, - 95,115,112,101,99,99,4,0,0,0,0,0,0,0,6,0, - 0,0,4,0,0,0,67,0,0,0,115,104,0,0,0,124, - 2,100,1,107,8,114,14,116,0,106,1,125,2,124,0,106, - 2,124,1,124,2,124,3,131,3,125,4,124,4,100,1,107, - 8,114,42,100,1,83,0,110,58,124,4,106,3,100,1,107, - 8,114,96,124,4,106,4,125,5,124,5,114,90,100,2,124, - 4,95,5,116,6,124,1,124,5,124,0,106,2,131,3,124, - 4,95,4,124,4,83,0,113,100,100,1,83,0,110,4,124, - 4,83,0,100,1,83,0,41,3,122,98,102,105,110,100,32, - 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, - 114,35,0,0,0,114,2,1,0,0,114,121,0,0,0,114, - 151,0,0,0,114,153,0,0,0,114,225,0,0,0,41,6, - 114,165,0,0,0,114,120,0,0,0,114,35,0,0,0,114, - 175,0,0,0,114,159,0,0,0,114,1,1,0,0,114,4, - 0,0,0,114,4,0,0,0,114,5,0,0,0,114,176,0, - 0,0,111,4,0,0,115,26,0,0,0,0,4,8,1,6, - 1,14,1,8,1,6,1,10,1,6,1,4,3,6,1,16, - 1,6,2,6,2,122,20,80,97,116,104,70,105,110,100,101, - 114,46,102,105,110,100,95,115,112,101,99,99,3,0,0,0, - 0,0,0,0,4,0,0,0,3,0,0,0,67,0,0,0, - 115,30,0,0,0,124,0,106,0,124,1,124,2,131,2,125, - 3,124,3,100,1,107,8,114,24,100,1,83,0,124,3,106, - 1,83,0,41,2,122,170,102,105,110,100,32,116,104,101,32, - 109,111,100,117,108,101,32,111,110,32,115,121,115,46,112,97, - 116,104,32,111,114,32,39,112,97,116,104,39,32,98,97,115, - 101,100,32,111,110,32,115,121,115,46,112,97,116,104,95,104, - 111,111,107,115,32,97,110,100,10,32,32,32,32,32,32,32, + 100,1,83,0,41,3,122,46,83,101,97,114,99,104,32,115, + 121,115,46,112,97,116,104,95,104,111,111,107,115,32,102,111, + 114,32,97,32,102,105,110,100,101,114,32,102,111,114,32,39, + 112,97,116,104,39,46,78,122,23,115,121,115,46,112,97,116, + 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, + 111,107,115,114,61,0,0,0,114,62,0,0,0,114,119,0, + 0,0,114,100,0,0,0,41,3,114,165,0,0,0,114,35, + 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, + 104,111,111,107,115,25,4,0,0,115,16,0,0,0,0,3, + 18,1,12,1,12,1,2,1,8,1,14,1,12,2,122,22, + 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, + 0,0,0,19,0,0,0,67,0,0,0,115,102,0,0,0, + 124,1,100,1,107,2,114,42,121,12,116,0,106,1,131,0, + 125,1,87,0,110,20,4,0,116,2,107,10,114,40,1,0, + 1,0,1,0,100,2,83,0,88,0,121,14,116,3,106,4, + 124,1,25,0,125,2,87,0,110,40,4,0,116,5,107,10, + 114,96,1,0,1,0,1,0,124,0,106,6,124,1,131,1, + 125,2,124,2,116,3,106,4,124,1,60,0,89,0,110,2, + 88,0,124,2,83,0,41,3,122,210,71,101,116,32,116,104, + 101,32,102,105,110,100,101,114,32,102,111,114,32,116,104,101, + 32,112,97,116,104,32,101,110,116,114,121,32,102,114,111,109, 32,115,121,115,46,112,97,116,104,95,105,109,112,111,114,116, 101,114,95,99,97,99,104,101,46,10,10,32,32,32,32,32, - 32,32,32,84,104,105,115,32,109,101,116,104,111,100,32,105, - 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, - 32,78,41,2,114,176,0,0,0,114,121,0,0,0,41,4, - 114,165,0,0,0,114,120,0,0,0,114,35,0,0,0,114, + 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, + 114,114,7,0,0,0,114,248,0,0,0,114,132,0,0,0, + 114,252,0,0,0,41,3,114,165,0,0,0,114,35,0,0, + 0,114,250,0,0,0,114,4,0,0,0,114,4,0,0,0, + 114,5,0,0,0,218,20,95,112,97,116,104,95,105,109,112, + 111,114,116,101,114,95,99,97,99,104,101,38,4,0,0,115, + 22,0,0,0,0,8,8,1,2,1,12,1,14,3,6,1, + 2,1,14,1,14,1,10,1,16,1,122,31,80,97,116,104, + 70,105,110,100,101,114,46,95,112,97,116,104,95,105,109,112, + 111,114,116,101,114,95,99,97,99,104,101,99,3,0,0,0, + 0,0,0,0,6,0,0,0,3,0,0,0,67,0,0,0, + 115,82,0,0,0,116,0,124,2,100,1,131,2,114,26,124, + 2,106,1,124,1,131,1,92,2,125,3,125,4,110,14,124, + 2,106,2,124,1,131,1,125,3,103,0,125,4,124,3,100, + 0,107,9,114,60,116,3,106,4,124,1,124,3,131,2,83, + 0,116,3,106,5,124,1,100,0,131,2,125,5,124,4,124, + 5,95,6,124,5,83,0,41,2,78,114,118,0,0,0,41, + 7,114,109,0,0,0,114,118,0,0,0,114,177,0,0,0, + 114,115,0,0,0,114,174,0,0,0,114,155,0,0,0,114, + 151,0,0,0,41,6,114,165,0,0,0,114,120,0,0,0, + 114,250,0,0,0,114,121,0,0,0,114,122,0,0,0,114, 159,0,0,0,114,4,0,0,0,114,4,0,0,0,114,5, - 0,0,0,114,177,0,0,0,133,4,0,0,115,8,0,0, - 0,0,8,12,1,8,1,4,1,122,22,80,97,116,104,70, - 105,110,100,101,114,46,102,105,110,100,95,109,111,100,117,108, - 101,41,1,78,41,2,78,78,41,1,78,41,12,114,106,0, - 0,0,114,105,0,0,0,114,107,0,0,0,114,108,0,0, - 0,114,178,0,0,0,114,247,0,0,0,114,252,0,0,0, - 114,254,0,0,0,114,255,0,0,0,114,2,1,0,0,114, - 176,0,0,0,114,177,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,5,0,0,0,114,246,0, - 0,0,13,4,0,0,115,22,0,0,0,8,2,4,2,12, - 8,12,17,12,22,12,15,2,1,12,31,2,1,12,21,2, - 1,114,246,0,0,0,99,0,0,0,0,0,0,0,0,0, - 0,0,0,3,0,0,0,64,0,0,0,115,90,0,0,0, - 101,0,90,1,100,0,90,2,100,1,90,3,100,2,100,3, - 132,0,90,4,100,4,100,5,132,0,90,5,101,6,90,7, - 100,6,100,7,132,0,90,8,100,8,100,9,132,0,90,9, - 100,19,100,11,100,12,132,1,90,10,100,13,100,14,132,0, - 90,11,101,12,100,15,100,16,132,0,131,1,90,13,100,17, - 100,18,132,0,90,14,100,10,83,0,41,20,218,10,70,105, - 108,101,70,105,110,100,101,114,122,172,70,105,108,101,45,98, - 97,115,101,100,32,102,105,110,100,101,114,46,10,10,32,32, - 32,32,73,110,116,101,114,97,99,116,105,111,110,115,32,119, - 105,116,104,32,116,104,101,32,102,105,108,101,32,115,121,115, - 116,101,109,32,97,114,101,32,99,97,99,104,101,100,32,102, - 111,114,32,112,101,114,102,111,114,109,97,110,99,101,44,32, - 98,101,105,110,103,10,32,32,32,32,114,101,102,114,101,115, - 104,101,100,32,119,104,101,110,32,116,104,101,32,100,105,114, - 101,99,116,111,114,121,32,116,104,101,32,102,105,110,100,101, - 114,32,105,115,32,104,97,110,100,108,105,110,103,32,104,97, - 115,32,98,101,101,110,32,109,111,100,105,102,105,101,100,46, - 10,10,32,32,32,32,99,2,0,0,0,0,0,0,0,5, - 0,0,0,5,0,0,0,7,0,0,0,115,88,0,0,0, - 103,0,125,3,120,40,124,2,68,0,93,32,92,2,137,0, - 125,4,124,3,106,0,135,0,102,1,100,1,100,2,132,8, - 124,4,68,0,131,1,131,1,1,0,113,10,87,0,124,3, - 124,0,95,1,124,1,112,58,100,3,124,0,95,2,100,6, - 124,0,95,3,116,4,131,0,124,0,95,5,116,4,131,0, - 124,0,95,6,100,5,83,0,41,7,122,154,73,110,105,116, - 105,97,108,105,122,101,32,119,105,116,104,32,116,104,101,32, - 112,97,116,104,32,116,111,32,115,101,97,114,99,104,32,111, - 110,32,97,110,100,32,97,32,118,97,114,105,97,98,108,101, - 32,110,117,109,98,101,114,32,111,102,10,32,32,32,32,32, - 32,32,32,50,45,116,117,112,108,101,115,32,99,111,110,116, - 97,105,110,105,110,103,32,116,104,101,32,108,111,97,100,101, - 114,32,97,110,100,32,116,104,101,32,102,105,108,101,32,115, - 117,102,102,105,120,101,115,32,116,104,101,32,108,111,97,100, - 101,114,10,32,32,32,32,32,32,32,32,114,101,99,111,103, - 110,105,122,101,115,46,99,1,0,0,0,0,0,0,0,2, - 0,0,0,3,0,0,0,51,0,0,0,115,22,0,0,0, - 124,0,93,14,125,1,124,1,136,0,102,2,86,0,1,0, - 113,2,100,0,83,0,41,1,78,114,4,0,0,0,41,2, - 114,22,0,0,0,114,220,0,0,0,41,1,114,121,0,0, - 0,114,4,0,0,0,114,5,0,0,0,114,222,0,0,0, - 162,4,0,0,115,2,0,0,0,4,0,122,38,70,105,108, - 101,70,105,110,100,101,114,46,95,95,105,110,105,116,95,95, - 46,60,108,111,99,97,108,115,62,46,60,103,101,110,101,120, - 112,114,62,114,59,0,0,0,114,29,0,0,0,78,114,88, - 0,0,0,41,7,114,144,0,0,0,218,8,95,108,111,97, - 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, - 101,0,0,0,114,35,0,0,0,218,14,108,111,97,100,101, - 114,95,100,101,116,97,105,108,115,90,7,108,111,97,100,101, - 114,115,114,161,0,0,0,114,4,0,0,0,41,1,114,121, - 0,0,0,114,5,0,0,0,114,180,0,0,0,156,4,0, - 0,115,16,0,0,0,0,4,4,1,14,1,28,1,6,2, - 10,1,6,1,8,1,122,19,70,105,108,101,70,105,110,100, - 101,114,46,95,95,105,110,105,116,95,95,99,1,0,0,0, - 0,0,0,0,1,0,0,0,2,0,0,0,67,0,0,0, - 115,10,0,0,0,100,3,124,0,95,0,100,2,83,0,41, - 4,122,31,73,110,118,97,108,105,100,97,116,101,32,116,104, - 101,32,100,105,114,101,99,116,111,114,121,32,109,116,105,109, - 101,46,114,29,0,0,0,78,114,88,0,0,0,41,1,114, - 5,1,0,0,41,1,114,101,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,247,0,0,0,170, - 4,0,0,115,2,0,0,0,0,2,122,28,70,105,108,101, - 70,105,110,100,101,114,46,105,110,118,97,108,105,100,97,116, - 101,95,99,97,99,104,101,115,99,2,0,0,0,0,0,0, - 0,3,0,0,0,2,0,0,0,67,0,0,0,115,42,0, - 0,0,124,0,106,0,124,1,131,1,125,2,124,2,100,1, - 107,8,114,26,100,1,103,0,102,2,83,0,124,2,106,1, - 124,2,106,2,112,38,103,0,102,2,83,0,41,2,122,197, - 84,114,121,32,116,111,32,102,105,110,100,32,97,32,108,111, - 97,100,101,114,32,102,111,114,32,116,104,101,32,115,112,101, - 99,105,102,105,101,100,32,109,111,100,117,108,101,44,32,111, - 114,32,116,104,101,32,110,97,109,101,115,112,97,99,101,10, - 32,32,32,32,32,32,32,32,112,97,99,107,97,103,101,32, - 112,111,114,116,105,111,110,115,46,32,82,101,116,117,114,110, - 115,32,40,108,111,97,100,101,114,44,32,108,105,115,116,45, - 111,102,45,112,111,114,116,105,111,110,115,41,46,10,10,32, - 32,32,32,32,32,32,32,84,104,105,115,32,109,101,116,104, - 111,100,32,105,115,32,100,101,112,114,101,99,97,116,101,100, - 46,32,32,85,115,101,32,102,105,110,100,95,115,112,101,99, - 40,41,32,105,110,115,116,101,97,100,46,10,10,32,32,32, - 32,32,32,32,32,78,41,3,114,176,0,0,0,114,121,0, - 0,0,114,151,0,0,0,41,3,114,101,0,0,0,114,120, - 0,0,0,114,159,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,5,0,0,0,114,118,0,0,0,176,4,0,0, - 115,8,0,0,0,0,7,10,1,8,1,8,1,122,22,70, - 105,108,101,70,105,110,100,101,114,46,102,105,110,100,95,108, - 111,97,100,101,114,99,6,0,0,0,0,0,0,0,7,0, - 0,0,7,0,0,0,67,0,0,0,115,30,0,0,0,124, - 1,124,2,124,3,131,2,125,6,116,0,124,2,124,3,100, - 1,124,6,100,2,124,4,144,2,131,2,83,0,41,3,78, - 114,121,0,0,0,114,151,0,0,0,41,1,114,162,0,0, - 0,41,7,114,101,0,0,0,114,160,0,0,0,114,120,0, - 0,0,114,35,0,0,0,90,4,115,109,115,108,114,175,0, - 0,0,114,121,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,5,0,0,0,114,2,1,0,0,188,4,0,0,115, - 6,0,0,0,0,1,10,1,12,1,122,20,70,105,108,101, - 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, - 0,0,67,0,0,0,115,100,1,0,0,100,1,125,3,124, - 1,106,0,100,2,131,1,100,3,25,0,125,4,121,24,116, - 1,124,0,106,2,112,34,116,3,106,4,131,0,131,1,106, - 5,125,5,87,0,110,24,4,0,116,6,107,10,114,66,1, - 0,1,0,1,0,100,10,125,5,89,0,110,2,88,0,124, - 5,124,0,106,7,107,3,114,92,124,0,106,8,131,0,1, - 0,124,5,124,0,95,7,116,9,131,0,114,114,124,0,106, - 10,125,6,124,4,106,11,131,0,125,7,110,10,124,0,106, - 12,125,6,124,4,125,7,124,7,124,6,107,6,114,218,116, - 13,124,0,106,2,124,4,131,2,125,8,120,72,124,0,106, - 14,68,0,93,54,92,2,125,9,125,10,100,5,124,9,23, - 0,125,11,116,13,124,8,124,11,131,2,125,12,116,15,124, - 12,131,1,114,152,124,0,106,16,124,10,124,1,124,12,124, - 8,103,1,124,2,131,5,83,0,113,152,87,0,116,17,124, - 8,131,1,125,3,120,90,124,0,106,14,68,0,93,80,92, - 2,125,9,125,10,116,13,124,0,106,2,124,4,124,9,23, - 0,131,2,125,12,116,18,106,19,100,6,124,12,100,7,100, - 3,144,1,131,2,1,0,124,7,124,9,23,0,124,6,107, - 6,114,226,116,15,124,12,131,1,114,226,124,0,106,16,124, - 10,124,1,124,12,100,8,124,2,131,5,83,0,113,226,87, - 0,124,3,144,1,114,96,116,18,106,19,100,9,124,8,131, - 2,1,0,116,18,106,20,124,1,100,8,131,2,125,13,124, - 8,103,1,124,13,95,21,124,13,83,0,100,8,83,0,41, - 11,122,102,84,114,121,32,116,111,32,102,105,110,100,32,97, - 32,115,112,101,99,32,102,111,114,32,116,104,101,32,115,112, - 101,99,105,102,105,101,100,32,109,111,100,117,108,101,46,32, - 32,82,101,116,117,114,110,115,32,116,104,101,10,32,32,32, - 32,32,32,32,32,109,97,116,99,104,105,110,103,32,115,112, - 101,99,44,32,111,114,32,78,111,110,101,32,105,102,32,110, - 111,116,32,102,111,117,110,100,46,70,114,59,0,0,0,114, - 57,0,0,0,114,29,0,0,0,114,180,0,0,0,122,9, - 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, - 114,88,0,0,0,41,22,114,32,0,0,0,114,39,0,0, - 0,114,35,0,0,0,114,3,0,0,0,114,45,0,0,0, - 114,214,0,0,0,114,40,0,0,0,114,5,1,0,0,218, - 11,95,102,105,108,108,95,99,97,99,104,101,114,6,0,0, - 0,114,8,1,0,0,114,89,0,0,0,114,7,1,0,0, - 114,28,0,0,0,114,4,1,0,0,114,44,0,0,0,114, - 2,1,0,0,114,46,0,0,0,114,115,0,0,0,114,130, - 0,0,0,114,155,0,0,0,114,151,0,0,0,41,14,114, - 101,0,0,0,114,120,0,0,0,114,175,0,0,0,90,12, - 105,115,95,110,97,109,101,115,112,97,99,101,90,11,116,97, - 105,108,95,109,111,100,117,108,101,114,127,0,0,0,90,5, - 99,97,99,104,101,90,12,99,97,99,104,101,95,109,111,100, - 117,108,101,90,9,98,97,115,101,95,112,97,116,104,114,220, - 0,0,0,114,160,0,0,0,90,13,105,110,105,116,95,102, - 105,108,101,110,97,109,101,90,9,102,117,108,108,95,112,97, - 116,104,114,159,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,5,0,0,0,114,176,0,0,0,193,4,0,0,115, - 70,0,0,0,0,3,4,1,14,1,2,1,24,1,14,1, - 10,1,10,1,8,1,6,2,6,1,6,1,10,2,6,1, - 4,2,8,1,12,1,16,1,8,1,10,1,8,1,24,4, - 8,2,16,1,16,1,18,1,12,1,8,1,10,1,12,1, - 6,1,12,1,12,1,8,1,4,1,122,20,70,105,108,101, - 70,105,110,100,101,114,46,102,105,110,100,95,115,112,101,99, - 99,1,0,0,0,0,0,0,0,9,0,0,0,13,0,0, - 0,67,0,0,0,115,194,0,0,0,124,0,106,0,125,1, - 121,22,116,1,106,2,124,1,112,22,116,1,106,3,131,0, - 131,1,125,2,87,0,110,30,4,0,116,4,116,5,116,6, - 102,3,107,10,114,58,1,0,1,0,1,0,103,0,125,2, - 89,0,110,2,88,0,116,7,106,8,106,9,100,1,131,1, - 115,84,116,10,124,2,131,1,124,0,95,11,110,78,116,10, - 131,0,125,3,120,64,124,2,68,0,93,56,125,4,124,4, - 106,12,100,2,131,1,92,3,125,5,125,6,125,7,124,6, - 114,138,100,3,106,13,124,5,124,7,106,14,131,0,131,2, - 125,8,110,4,124,5,125,8,124,3,106,15,124,8,131,1, - 1,0,113,96,87,0,124,3,124,0,95,11,116,7,106,8, - 106,9,116,16,131,1,114,190,100,4,100,5,132,0,124,2, - 68,0,131,1,124,0,95,17,100,6,83,0,41,7,122,68, - 70,105,108,108,32,116,104,101,32,99,97,99,104,101,32,111, - 102,32,112,111,116,101,110,116,105,97,108,32,109,111,100,117, - 108,101,115,32,97,110,100,32,112,97,99,107,97,103,101,115, - 32,102,111,114,32,116,104,105,115,32,100,105,114,101,99,116, - 111,114,121,46,114,0,0,0,0,114,59,0,0,0,122,5, - 123,125,46,123,125,99,1,0,0,0,0,0,0,0,2,0, - 0,0,3,0,0,0,83,0,0,0,115,20,0,0,0,104, - 0,124,0,93,12,125,1,124,1,106,0,131,0,146,2,113, - 4,83,0,114,4,0,0,0,41,1,114,89,0,0,0,41, - 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, - 111,109,112,62,12,5,0,0,115,2,0,0,0,6,0,122, - 41,70,105,108,101,70,105,110,100,101,114,46,95,102,105,108, - 108,95,99,97,99,104,101,46,60,108,111,99,97,108,115,62, - 46,60,115,101,116,99,111,109,112,62,78,41,18,114,35,0, - 0,0,114,3,0,0,0,90,7,108,105,115,116,100,105,114, - 114,45,0,0,0,114,253,0,0,0,218,15,80,101,114,109, - 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, - 7,0,0,0,114,8,0,0,0,114,9,0,0,0,114,6, - 1,0,0,114,7,1,0,0,114,84,0,0,0,114,48,0, - 0,0,114,89,0,0,0,218,3,97,100,100,114,10,0,0, - 0,114,8,1,0,0,41,9,114,101,0,0,0,114,35,0, - 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, - 110,116,115,114,242,0,0,0,114,99,0,0,0,114,232,0, - 0,0,114,220,0,0,0,90,8,110,101,119,95,110,97,109, - 101,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, - 114,10,1,0,0,239,4,0,0,115,34,0,0,0,0,2, - 6,1,2,1,22,1,20,3,10,3,12,1,12,7,6,1, - 10,1,16,1,4,1,18,2,4,1,14,1,6,1,12,1, - 122,22,70,105,108,101,70,105,110,100,101,114,46,95,102,105, - 108,108,95,99,97,99,104,101,99,1,0,0,0,0,0,0, - 0,3,0,0,0,3,0,0,0,7,0,0,0,115,18,0, - 0,0,135,0,135,1,102,2,100,1,100,2,132,8,125,2, - 124,2,83,0,41,3,97,20,1,0,0,65,32,99,108,97, - 115,115,32,109,101,116,104,111,100,32,119,104,105,99,104,32, - 114,101,116,117,114,110,115,32,97,32,99,108,111,115,117,114, - 101,32,116,111,32,117,115,101,32,111,110,32,115,121,115,46, - 112,97,116,104,95,104,111,111,107,10,32,32,32,32,32,32, - 32,32,119,104,105,99,104,32,119,105,108,108,32,114,101,116, - 117,114,110,32,97,110,32,105,110,115,116,97,110,99,101,32, - 117,115,105,110,103,32,116,104,101,32,115,112,101,99,105,102, - 105,101,100,32,108,111,97,100,101,114,115,32,97,110,100,32, - 116,104,101,32,112,97,116,104,10,32,32,32,32,32,32,32, - 32,99,97,108,108,101,100,32,111,110,32,116,104,101,32,99, - 108,111,115,117,114,101,46,10,10,32,32,32,32,32,32,32, - 32,73,102,32,116,104,101,32,112,97,116,104,32,99,97,108, - 108,101,100,32,111,110,32,116,104,101,32,99,108,111,115,117, - 114,101,32,105,115,32,110,111,116,32,97,32,100,105,114,101, - 99,116,111,114,121,44,32,73,109,112,111,114,116,69,114,114, - 111,114,32,105,115,10,32,32,32,32,32,32,32,32,114,97, - 105,115,101,100,46,10,10,32,32,32,32,32,32,32,32,99, - 1,0,0,0,0,0,0,0,1,0,0,0,4,0,0,0, - 19,0,0,0,115,32,0,0,0,116,0,124,0,131,1,115, - 22,116,1,100,1,100,2,124,0,144,1,131,1,130,1,136, - 0,124,0,136,1,140,1,83,0,41,3,122,45,80,97,116, - 104,32,104,111,111,107,32,102,111,114,32,105,109,112,111,114, - 116,108,105,98,46,109,97,99,104,105,110,101,114,121,46,70, - 105,108,101,70,105,110,100,101,114,46,122,30,111,110,108,121, - 32,100,105,114,101,99,116,111,114,105,101,115,32,97,114,101, - 32,115,117,112,112,111,114,116,101,100,114,35,0,0,0,41, - 2,114,46,0,0,0,114,100,0,0,0,41,1,114,35,0, - 0,0,41,2,114,165,0,0,0,114,9,1,0,0,114,4, - 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, - 101,114,24,5,0,0,115,6,0,0,0,0,2,8,1,14, - 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, - 114,165,0,0,0,114,9,1,0,0,114,15,1,0,0,114, - 4,0,0,0,41,2,114,165,0,0,0,114,9,1,0,0, - 114,5,0,0,0,218,9,112,97,116,104,95,104,111,111,107, - 14,5,0,0,115,4,0,0,0,0,10,14,6,122,20,70, - 105,108,101,70,105,110,100,101,114,46,112,97,116,104,95,104, - 111,111,107,99,1,0,0,0,0,0,0,0,1,0,0,0, - 2,0,0,0,67,0,0,0,115,12,0,0,0,100,1,106, - 0,124,0,106,1,131,1,83,0,41,2,78,122,16,70,105, - 108,101,70,105,110,100,101,114,40,123,33,114,125,41,41,2, - 114,48,0,0,0,114,35,0,0,0,41,1,114,101,0,0, + 0,0,0,218,16,95,108,101,103,97,99,121,95,103,101,116, + 95,115,112,101,99,60,4,0,0,115,18,0,0,0,0,4, + 10,1,16,2,10,1,4,1,8,1,12,1,12,1,6,1, + 122,27,80,97,116,104,70,105,110,100,101,114,46,95,108,101, + 103,97,99,121,95,103,101,116,95,115,112,101,99,78,99,4, + 0,0,0,0,0,0,0,9,0,0,0,5,0,0,0,67, + 0,0,0,115,170,0,0,0,103,0,125,4,120,160,124,2, + 68,0,93,130,125,5,116,0,124,5,116,1,116,2,102,2, + 131,2,115,30,113,10,124,0,106,3,124,5,131,1,125,6, + 124,6,100,1,107,9,114,10,116,4,124,6,100,2,131,2, + 114,72,124,6,106,5,124,1,124,3,131,2,125,7,110,12, + 124,0,106,6,124,1,124,6,131,2,125,7,124,7,100,1, + 107,8,114,94,113,10,124,7,106,7,100,1,107,9,114,108, + 124,7,83,0,124,7,106,8,125,8,124,8,100,1,107,8, + 114,130,116,9,100,3,131,1,130,1,124,4,106,10,124,8, + 131,1,1,0,113,10,87,0,116,11,106,12,124,1,100,1, + 131,2,125,7,124,4,124,7,95,8,124,7,83,0,100,1, + 83,0,41,4,122,63,70,105,110,100,32,116,104,101,32,108, + 111,97,100,101,114,32,111,114,32,110,97,109,101,115,112,97, + 99,101,95,112,97,116,104,32,102,111,114,32,116,104,105,115, + 32,109,111,100,117,108,101,47,112,97,99,107,97,103,101,32, + 110,97,109,101,46,78,114,176,0,0,0,122,19,115,112,101, + 99,32,109,105,115,115,105,110,103,32,108,111,97,100,101,114, + 41,13,114,138,0,0,0,114,70,0,0,0,218,5,98,121, + 116,101,115,114,254,0,0,0,114,109,0,0,0,114,176,0, + 0,0,114,255,0,0,0,114,121,0,0,0,114,151,0,0, + 0,114,100,0,0,0,114,144,0,0,0,114,115,0,0,0, + 114,155,0,0,0,41,9,114,165,0,0,0,114,120,0,0, + 0,114,35,0,0,0,114,175,0,0,0,218,14,110,97,109, + 101,115,112,97,99,101,95,112,97,116,104,90,5,101,110,116, + 114,121,114,250,0,0,0,114,159,0,0,0,114,122,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,5,0,0,0, - 114,241,0,0,0,32,5,0,0,115,2,0,0,0,0,1, - 122,19,70,105,108,101,70,105,110,100,101,114,46,95,95,114, - 101,112,114,95,95,41,1,78,41,15,114,106,0,0,0,114, - 105,0,0,0,114,107,0,0,0,114,108,0,0,0,114,180, - 0,0,0,114,247,0,0,0,114,124,0,0,0,114,177,0, - 0,0,114,118,0,0,0,114,2,1,0,0,114,176,0,0, - 0,114,10,1,0,0,114,178,0,0,0,114,16,1,0,0, - 114,241,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,5,0,0,0,114,3,1,0,0,147,4, - 0,0,115,20,0,0,0,8,7,4,2,8,14,8,4,4, - 2,8,12,8,5,10,46,8,31,12,18,114,3,1,0,0, - 99,4,0,0,0,0,0,0,0,6,0,0,0,11,0,0, - 0,67,0,0,0,115,148,0,0,0,124,0,106,0,100,1, - 131,1,125,4,124,0,106,0,100,2,131,1,125,5,124,4, - 115,66,124,5,114,36,124,5,106,1,125,4,110,30,124,2, - 124,3,107,2,114,56,116,2,124,1,124,2,131,2,125,4, - 110,10,116,3,124,1,124,2,131,2,125,4,124,5,115,86, - 116,4,124,1,124,2,100,3,124,4,144,1,131,2,125,5, - 121,36,124,5,124,0,100,2,60,0,124,4,124,0,100,1, - 60,0,124,2,124,0,100,4,60,0,124,3,124,0,100,5, - 60,0,87,0,110,20,4,0,116,5,107,10,114,142,1,0, - 1,0,1,0,89,0,110,2,88,0,100,0,83,0,41,6, - 78,218,10,95,95,108,111,97,100,101,114,95,95,218,8,95, - 95,115,112,101,99,95,95,114,121,0,0,0,90,8,95,95, - 102,105,108,101,95,95,90,10,95,95,99,97,99,104,101,100, - 95,95,41,6,218,3,103,101,116,114,121,0,0,0,114,218, - 0,0,0,114,213,0,0,0,114,162,0,0,0,218,9,69, - 120,99,101,112,116,105,111,110,41,6,90,2,110,115,114,99, - 0,0,0,90,8,112,97,116,104,110,97,109,101,90,9,99, - 112,97,116,104,110,97,109,101,114,121,0,0,0,114,159,0, - 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, - 101,38,5,0,0,115,34,0,0,0,0,2,10,1,10,1, - 4,1,4,1,8,1,8,1,12,2,10,1,4,1,16,1, - 2,1,8,1,8,1,8,1,12,1,14,2,114,21,1,0, - 0,99,0,0,0,0,0,0,0,0,3,0,0,0,3,0, - 0,0,67,0,0,0,115,38,0,0,0,116,0,116,1,106, - 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0,0,0,114,44,0,0,0,114,46,0,0,0,114,56,0, + 0,0,218,4,116,121,112,101,218,8,95,95,99,111,100,101, + 95,95,114,139,0,0,0,114,15,0,0,0,114,129,0,0, + 0,114,14,0,0,0,114,18,0,0,0,90,17,95,82,65, + 87,95,77,65,71,73,67,95,78,85,77,66,69,82,114,74, + 0,0,0,114,73,0,0,0,114,85,0,0,0,114,75,0, + 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, + 83,85,70,70,73,88,69,83,114,80,0,0,0,114,86,0, + 0,0,114,92,0,0,0,114,96,0,0,0,114,98,0,0, + 0,114,117,0,0,0,114,124,0,0,0,114,136,0,0,0, + 114,142,0,0,0,114,145,0,0,0,114,150,0,0,0,218, + 6,111,98,106,101,99,116,114,157,0,0,0,114,162,0,0, + 0,114,163,0,0,0,114,179,0,0,0,114,189,0,0,0, + 114,205,0,0,0,114,213,0,0,0,114,218,0,0,0,114, + 224,0,0,0,114,219,0,0,0,114,225,0,0,0,114,244, + 0,0,0,114,246,0,0,0,114,3,1,0,0,114,21,1, + 0,0,114,156,0,0,0,114,30,1,0,0,114,32,1,0, + 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, + 0,0,0,115,102,0,0,0,4,17,4,3,8,12,8,5, + 8,5,8,6,8,12,8,10,8,9,8,5,8,7,10,22, + 10,116,16,1,12,2,4,1,4,2,6,2,6,2,8,2, + 16,44,8,33,8,19,8,12,8,12,8,28,8,17,10,55, + 10,12,10,10,8,14,6,3,4,1,14,65,14,64,14,29, + 16,110,14,41,18,45,18,16,4,3,18,53,14,60,14,42, + 14,127,0,5,14,127,0,22,10,23,8,11,8,68, }; -- cgit v1.2.1 From 8f310e95a73a11c4184b7cd40bfb0d04609a171c Mon Sep 17 00:00:00 2001 From: Brett Cannon Date: Sat, 16 Jul 2016 10:46:10 -0700 Subject: Check in update for importlib_external.h --- Python/importlib_external.h | 4816 ++++++++++++++++++++++--------------------- 1 file changed, 2412 insertions(+), 2404 deletions(-) (limited to 'Python') diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 8e108def12..4fe2a982da 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -1,2427 +1,2435 @@ /* Auto-generated by Programs/_freeze_importlib.c */ const unsigned char _Py_M__importlib_external[] = { 99,0,0,0,0,0,0,0,0,0,0,0,0,5,0,0, - 0,64,0,0,0,115,236,1,0,0,100,0,90,0,100,91, - 90,1,100,4,100,5,132,0,90,2,100,6,100,7,132,0, - 90,3,100,8,100,9,132,0,90,4,100,10,100,11,132,0, - 90,5,100,12,100,13,132,0,90,6,100,14,100,15,132,0, - 90,7,100,16,100,17,132,0,90,8,100,18,100,19,132,0, - 90,9,100,20,100,21,132,0,90,10,100,92,100,23,100,24, - 132,1,90,11,101,12,101,11,106,13,131,1,90,14,100,25, - 106,15,100,26,100,27,131,2,100,28,23,0,90,16,101,17, - 106,18,101,16,100,27,131,2,90,19,100,29,90,20,100,30, - 90,21,100,31,103,1,90,22,100,32,103,1,90,23,101,23, - 4,0,90,24,90,25,100,93,100,33,100,34,156,1,100,35, - 100,36,132,3,90,26,100,37,100,38,132,0,90,27,100,39, - 100,40,132,0,90,28,100,41,100,42,132,0,90,29,100,43, - 100,44,132,0,90,30,100,45,100,46,132,0,90,31,100,47, - 100,48,132,0,90,32,100,94,100,49,100,50,132,1,90,33, - 100,95,100,51,100,52,132,1,90,34,100,96,100,54,100,55, - 132,1,90,35,100,56,100,57,132,0,90,36,101,37,131,0, - 90,38,100,97,100,33,101,38,100,58,156,2,100,59,100,60, - 132,3,90,39,71,0,100,61,100,62,132,0,100,62,131,2, - 90,40,71,0,100,63,100,64,132,0,100,64,131,2,90,41, - 71,0,100,65,100,66,132,0,100,66,101,41,131,3,90,42, - 71,0,100,67,100,68,132,0,100,68,131,2,90,43,71,0, - 100,69,100,70,132,0,100,70,101,43,101,42,131,4,90,44, - 71,0,100,71,100,72,132,0,100,72,101,43,101,41,131,4, - 90,45,103,0,90,46,71,0,100,73,100,74,132,0,100,74, - 101,43,101,41,131,4,90,47,71,0,100,75,100,76,132,0, - 100,76,131,2,90,48,71,0,100,77,100,78,132,0,100,78, - 131,2,90,49,71,0,100,79,100,80,132,0,100,80,131,2, - 90,50,71,0,100,81,100,82,132,0,100,82,131,2,90,51, - 100,98,100,83,100,84,132,1,90,52,100,85,100,86,132,0, - 90,53,100,87,100,88,132,0,90,54,100,89,100,90,132,0, - 90,55,100,33,83,0,41,99,97,94,1,0,0,67,111,114, - 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, - 101,115,32,97,110,100,32,97,116,116,114,105,98,117,116,101, - 115,32,105,110,32,111,114,100,101,114,32,116,111,10,119,111, - 114,107,46,32,79,110,101,32,115,104,111,117,108,100,32,117, - 115,101,32,105,109,112,111,114,116,108,105,98,32,97,115,32, - 116,104,101,32,112,117,98,108,105,99,45,102,97,99,105,110, - 103,32,118,101,114,115,105,111,110,32,111,102,32,116,104,105, - 115,32,109,111,100,117,108,101,46,10,10,218,3,119,105,110, - 218,6,99,121,103,119,105,110,218,6,100,97,114,119,105,110, - 99,0,0,0,0,0,0,0,0,1,0,0,0,2,0,0, - 0,67,0,0,0,115,34,0,0,0,116,0,106,1,106,2, - 116,3,131,1,114,22,100,1,100,2,132,0,125,0,110,8, - 100,3,100,2,132,0,125,0,124,0,83,0,41,4,78,99, - 0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0, - 83,0,0,0,115,20,0,0,0,100,1,116,0,106,1,107, - 6,112,18,100,2,116,0,106,1,107,6,83,0,41,3,122, - 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, - 105,118,101,108,121,46,115,12,0,0,0,80,89,84,72,79, - 78,67,65,83,69,79,75,90,12,80,89,84,72,79,78,67, - 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, - 120,95,99,97,115,101,30,0,0,0,115,4,0,0,0,0, - 2,10,1,122,37,95,109,97,107,101,95,114,101,108,97,120, - 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, - 4,0,0,0,100,1,83,0,41,2,122,53,84,114,117,101, + 0,64,0,0,0,115,248,1,0,0,100,0,90,0,100,91, + 90,1,100,92,90,2,101,2,101,1,23,0,90,3,100,4, + 100,5,132,0,90,4,100,6,100,7,132,0,90,5,100,8, + 100,9,132,0,90,6,100,10,100,11,132,0,90,7,100,12, + 100,13,132,0,90,8,100,14,100,15,132,0,90,9,100,16, + 100,17,132,0,90,10,100,18,100,19,132,0,90,11,100,20, + 100,21,132,0,90,12,100,93,100,23,100,24,132,1,90,13, + 101,14,101,13,106,15,131,1,90,16,100,25,106,17,100,26, + 100,27,131,2,100,28,23,0,90,18,101,19,106,20,101,18, + 100,27,131,2,90,21,100,29,90,22,100,30,90,23,100,31, + 103,1,90,24,100,32,103,1,90,25,101,25,4,0,90,26, + 90,27,100,94,100,33,100,34,156,1,100,35,100,36,132,3, + 90,28,100,37,100,38,132,0,90,29,100,39,100,40,132,0, + 90,30,100,41,100,42,132,0,90,31,100,43,100,44,132,0, + 90,32,100,45,100,46,132,0,90,33,100,47,100,48,132,0, + 90,34,100,95,100,49,100,50,132,1,90,35,100,96,100,51, + 100,52,132,1,90,36,100,97,100,54,100,55,132,1,90,37, + 100,56,100,57,132,0,90,38,101,39,131,0,90,40,100,98, + 100,33,101,40,100,58,156,2,100,59,100,60,132,3,90,41, + 71,0,100,61,100,62,132,0,100,62,131,2,90,42,71,0, + 100,63,100,64,132,0,100,64,131,2,90,43,71,0,100,65, + 100,66,132,0,100,66,101,43,131,3,90,44,71,0,100,67, + 100,68,132,0,100,68,131,2,90,45,71,0,100,69,100,70, + 132,0,100,70,101,45,101,44,131,4,90,46,71,0,100,71, + 100,72,132,0,100,72,101,45,101,43,131,4,90,47,103,0, + 90,48,71,0,100,73,100,74,132,0,100,74,101,45,101,43, + 131,4,90,49,71,0,100,75,100,76,132,0,100,76,131,2, + 90,50,71,0,100,77,100,78,132,0,100,78,131,2,90,51, + 71,0,100,79,100,80,132,0,100,80,131,2,90,52,71,0, + 100,81,100,82,132,0,100,82,131,2,90,53,100,99,100,83, + 100,84,132,1,90,54,100,85,100,86,132,0,90,55,100,87, + 100,88,132,0,90,56,100,89,100,90,132,0,90,57,100,33, + 83,0,41,100,97,94,1,0,0,67,111,114,101,32,105,109, + 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, + 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109,45,108,101,118,101,108,32,100,105,114,101,99,116,111,114, - 121,32,105,110,32,123,33,114,125,114,59,0,0,0,114,57, - 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, - 117,109,101,114,105,99,32,118,97,108,117,101,114,60,0,0, - 0,62,2,0,0,0,114,57,0,0,0,114,81,0,0,0, - 233,254,255,255,255,41,17,114,7,0,0,0,114,65,0,0, - 0,114,66,0,0,0,114,67,0,0,0,114,38,0,0,0, - 114,74,0,0,0,114,72,0,0,0,114,48,0,0,0,218, - 5,99,111,117,110,116,114,34,0,0,0,114,9,0,0,0, - 114,73,0,0,0,114,31,0,0,0,114,71,0,0,0,218, - 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, - 41,8,114,35,0,0,0,114,77,0,0,0,90,16,112,121, - 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, - 110,116,114,58,0,0,0,90,9,111,112,116,95,108,101,118, - 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, - 99,104,101,38,1,0,0,115,44,0,0,0,0,9,12,1, - 8,1,12,1,12,1,8,1,6,1,10,1,10,1,8,1, - 6,1,10,1,8,1,16,1,10,1,6,1,8,1,16,1, - 8,1,6,1,8,1,14,1,114,86,0,0,0,99,1,0, - 0,0,0,0,0,0,5,0,0,0,12,0,0,0,67,0, - 0,0,115,128,0,0,0,116,0,124,0,131,1,100,1,107, - 2,114,16,100,2,83,0,124,0,106,1,100,3,131,1,92, - 3,125,1,125,2,125,3,124,1,12,0,115,58,124,3,106, - 2,131,0,100,7,100,8,133,2,25,0,100,6,107,3,114, - 62,124,0,83,0,121,12,116,3,124,0,131,1,125,4,87, - 0,110,36,4,0,116,4,116,5,102,2,107,10,114,110,1, - 0,1,0,1,0,124,0,100,2,100,9,133,2,25,0,125, - 4,89,0,110,2,88,0,116,6,124,4,131,1,114,124,124, - 4,83,0,124,0,83,0,41,10,122,188,67,111,110,118,101, - 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, - 46,10,10,32,32,32,32,114,60,0,0,0,78,114,59,0, - 0,0,114,81,0,0,0,114,29,0,0,0,90,2,112,121, - 233,253,255,255,255,233,255,255,255,255,114,88,0,0,0,41, - 7,114,31,0,0,0,114,32,0,0,0,218,5,108,111,119, - 101,114,114,86,0,0,0,114,67,0,0,0,114,72,0,0, - 0,114,44,0,0,0,41,5,218,13,98,121,116,101,99,111, - 100,101,95,112,97,116,104,114,79,0,0,0,114,36,0,0, - 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, - 111,117,114,99,101,102,105,108,101,71,1,0,0,115,20,0, - 0,0,0,7,12,1,4,1,16,1,26,1,4,1,2,1, - 12,1,18,1,18,1,114,92,0,0,0,99,1,0,0,0, - 0,0,0,0,1,0,0,0,11,0,0,0,67,0,0,0, - 115,74,0,0,0,124,0,106,0,116,1,116,2,131,1,131, - 1,114,46,121,8,116,3,124,0,131,1,83,0,4,0,116, - 4,107,10,114,42,1,0,1,0,1,0,89,0,113,70,88, - 0,110,24,124,0,106,0,116,1,116,5,131,1,131,1,114, - 66,124,0,83,0,110,4,100,0,83,0,100,0,83,0,41, - 1,78,41,6,218,8,101,110,100,115,119,105,116,104,218,5, - 116,117,112,108,101,114,85,0,0,0,114,80,0,0,0,114, - 67,0,0,0,114,75,0,0,0,41,1,218,8,102,105,108, - 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, - 100,90,1,0,0,115,16,0,0,0,0,1,14,1,2,1, - 8,1,14,1,8,1,14,1,6,2,114,96,0,0,0,99, - 1,0,0,0,0,0,0,0,2,0,0,0,11,0,0,0, - 67,0,0,0,115,52,0,0,0,121,14,116,0,124,0,131, - 1,106,1,125,1,87,0,110,24,4,0,116,2,107,10,114, - 38,1,0,1,0,1,0,100,1,125,1,89,0,110,2,88, - 0,124,1,100,2,79,0,125,1,124,1,83,0,41,3,122, - 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, - 99,95,109,111,100,101,102,1,0,0,115,12,0,0,0,0, - 2,2,1,14,1,14,1,10,3,8,1,114,98,0,0,0, - 99,1,0,0,0,0,0,0,0,3,0,0,0,11,0,0, - 0,3,0,0,0,115,68,0,0,0,100,6,135,0,102,1, - 100,2,100,3,132,9,125,1,121,10,116,0,106,1,125,2, - 87,0,110,28,4,0,116,2,107,10,114,52,1,0,1,0, - 1,0,100,4,100,5,132,0,125,2,89,0,110,2,88,0, - 124,2,124,1,136,0,131,2,1,0,124,1,83,0,41,7, - 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, - 31,0,0,0,115,64,0,0,0,124,1,100,0,107,8,114, - 16,124,0,106,0,125,1,110,34,124,0,106,0,124,1,107, - 3,114,50,116,1,100,1,124,0,106,0,124,1,102,2,22, - 0,100,2,124,1,144,1,131,1,130,1,136,0,124,0,124, - 1,124,2,124,3,142,2,83,0,41,3,78,122,30,108,111, - 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, - 109,101,41,2,114,99,0,0,0,218,11,73,109,112,111,114, - 116,69,114,114,111,114,41,4,218,4,115,101,108,102,114,99, - 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, - 109,101,95,119,114,97,112,112,101,114,122,1,0,0,115,12, - 0,0,0,0,1,8,1,8,1,10,1,4,1,20,1,122, - 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, - 0,0,3,0,0,0,7,0,0,0,83,0,0,0,115,60, - 0,0,0,120,40,100,5,68,0,93,32,125,2,116,0,124, - 1,124,2,131,2,114,6,116,1,124,0,124,2,116,2,124, - 1,124,2,131,2,131,3,1,0,113,6,87,0,124,0,106, - 3,106,4,124,1,106,3,131,1,1,0,100,0,83,0,41, - 6,78,218,10,95,95,109,111,100,117,108,101,95,95,218,8, - 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, - 4,122,10,95,95,109,111,100,117,108,101,95,95,122,8,95, - 95,110,97,109,101,95,95,122,12,95,95,113,117,97,108,110, - 97,109,101,95,95,122,7,95,95,100,111,99,95,95,41,5, - 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, - 3,110,101,119,90,3,111,108,100,114,53,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,5,0,0,0,218,5,95, - 119,114,97,112,133,1,0,0,115,8,0,0,0,0,1,10, - 1,10,1,22,1,122,26,95,99,104,101,99,107,95,110,97, - 109,101,46,60,108,111,99,97,108,115,62,46,95,119,114,97, - 112,41,1,78,41,3,218,10,95,98,111,111,116,115,116,114, - 97,112,114,114,0,0,0,218,9,78,97,109,101,69,114,114, - 111,114,41,3,114,103,0,0,0,114,104,0,0,0,114,114, - 0,0,0,114,4,0,0,0,41,1,114,103,0,0,0,114, - 5,0,0,0,218,11,95,99,104,101,99,107,95,110,97,109, - 101,114,1,0,0,115,14,0,0,0,0,8,14,7,2,1, - 10,1,14,2,14,5,10,1,114,117,0,0,0,99,2,0, - 0,0,0,0,0,0,5,0,0,0,4,0,0,0,67,0, - 0,0,115,60,0,0,0,124,0,106,0,124,1,131,1,92, - 2,125,2,125,3,124,2,100,1,107,8,114,56,116,1,124, - 3,131,1,114,56,100,2,125,4,116,2,106,3,124,4,106, - 4,124,3,100,3,25,0,131,1,116,5,131,2,1,0,124, - 2,83,0,41,4,122,155,84,114,121,32,116,111,32,102,105, - 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, - 95,114,60,0,0,0,41,6,218,11,102,105,110,100,95,108, - 111,97,100,101,114,114,31,0,0,0,114,61,0,0,0,114, - 62,0,0,0,114,48,0,0,0,218,13,73,109,112,111,114, - 116,87,97,114,110,105,110,103,41,5,114,101,0,0,0,218, - 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, - 105,109,142,1,0,0,115,10,0,0,0,0,10,14,1,16, - 1,4,1,22,1,114,124,0,0,0,99,4,0,0,0,0, - 0,0,0,11,0,0,0,19,0,0,0,67,0,0,0,115, - 128,1,0,0,105,0,125,4,124,2,100,1,107,9,114,22, - 124,2,124,4,100,2,60,0,110,4,100,3,125,2,124,3, - 100,1,107,9,114,42,124,3,124,4,100,4,60,0,124,0, - 100,1,100,5,133,2,25,0,125,5,124,0,100,5,100,6, - 133,2,25,0,125,6,124,0,100,6,100,7,133,2,25,0, - 125,7,124,5,116,0,107,3,114,122,100,8,106,1,124,2, - 124,5,131,2,125,8,116,2,106,3,100,9,124,8,131,2, - 1,0,116,4,124,8,124,4,141,1,130,1,110,86,116,5, - 124,6,131,1,100,5,107,3,114,166,100,10,106,1,124,2, - 131,1,125,8,116,2,106,3,100,9,124,8,131,2,1,0, - 116,6,124,8,131,1,130,1,110,42,116,5,124,7,131,1, - 100,5,107,3,114,208,100,11,106,1,124,2,131,1,125,8, - 116,2,106,3,100,9,124,8,131,2,1,0,116,6,124,8, - 131,1,130,1,124,1,100,1,107,9,144,1,114,116,121,16, - 116,7,124,1,100,12,25,0,131,1,125,9,87,0,110,20, - 4,0,116,8,107,10,114,254,1,0,1,0,1,0,89,0, 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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, - 10,32,32,32,32,78,114,99,0,0,0,122,10,60,98,121, - 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, - 69,82,114,48,0,0,0,114,115,0,0,0,218,16,95,118, - 101,114,98,111,115,101,95,109,101,115,115,97,103,101,114,100, - 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, - 114,114,19,0,0,0,41,11,114,54,0,0,0,218,12,115, - 111,117,114,99,101,95,115,116,97,116,115,114,99,0,0,0, - 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, - 122,101,114,76,0,0,0,218,12,115,111,117,114,99,101,95, - 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, - 101,99,111,100,101,95,104,101,97,100,101,114,159,1,0,0, - 115,76,0,0,0,0,11,4,1,8,1,10,3,4,1,8, - 1,8,1,12,1,12,1,12,1,8,1,12,1,12,1,12, - 1,12,1,10,1,12,1,10,1,12,1,10,1,12,1,8, - 1,10,1,2,1,16,1,14,1,6,2,14,1,10,1,12, - 1,10,1,2,1,16,1,16,1,6,2,14,1,10,1,6, - 1,114,136,0,0,0,99,4,0,0,0,0,0,0,0,5, - 0,0,0,6,0,0,0,67,0,0,0,115,86,0,0,0, - 116,0,106,1,124,0,131,1,125,4,116,2,124,4,116,3, - 131,2,114,58,116,4,106,5,100,1,124,2,131,2,1,0, - 124,3,100,2,107,9,114,52,116,6,106,7,124,4,124,3, - 131,2,1,0,124,4,83,0,110,24,116,8,100,3,106,9, - 124,2,131,1,100,4,124,1,100,5,124,2,144,2,131,1, - 130,1,100,2,83,0,41,6,122,60,67,111,109,112,105,108, - 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, - 105,110,32,123,33,114,125,114,99,0,0,0,114,35,0,0, - 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, - 10,95,99,111,100,101,95,116,121,112,101,114,115,0,0,0, - 114,130,0,0,0,218,4,95,105,109,112,90,16,95,102,105, - 120,95,99,111,95,102,105,108,101,110,97,109,101,114,100,0, - 0,0,114,48,0,0,0,41,5,114,54,0,0,0,114,99, - 0,0,0,114,90,0,0,0,114,91,0,0,0,218,4,99, - 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, - 101,99,111,100,101,214,1,0,0,115,16,0,0,0,0,2, - 10,1,10,1,12,1,8,1,12,1,6,2,12,1,114,142, - 0,0,0,114,60,0,0,0,99,3,0,0,0,0,0,0, - 0,4,0,0,0,3,0,0,0,67,0,0,0,115,56,0, - 0,0,116,0,116,1,131,1,125,3,124,3,106,2,116,3, - 124,1,131,1,131,1,1,0,124,3,106,2,116,3,124,2, - 131,1,131,1,1,0,124,3,106,2,116,4,106,5,124,0, - 131,1,131,1,1,0,124,3,83,0,41,1,122,80,67,111, - 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, - 218,9,98,121,116,101,97,114,114,97,121,114,129,0,0,0, - 218,6,101,120,116,101,110,100,114,17,0,0,0,114,137,0, - 0,0,90,5,100,117,109,112,115,41,4,114,141,0,0,0, - 114,127,0,0,0,114,135,0,0,0,114,54,0,0,0,114, - 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, - 101,226,1,0,0,115,10,0,0,0,0,3,8,1,14,1, - 14,1,16,1,114,145,0,0,0,99,1,0,0,0,0,0, - 0,0,5,0,0,0,4,0,0,0,67,0,0,0,115,62, - 0,0,0,100,1,100,2,108,0,125,1,116,1,106,2,124, - 0,131,1,106,3,125,2,124,1,106,4,124,2,131,1,125, - 3,116,1,106,5,100,2,100,3,131,2,125,4,124,4,106, - 6,124,0,106,6,124,3,100,1,25,0,131,1,131,1,83, - 0,41,4,122,121,68,101,99,111,100,101,32,98,121,116,101, - 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, - 100,101,99,111,100,105,110,103,46,10,32,32,32,32,114,60, - 0,0,0,78,84,41,7,218,8,116,111,107,101,110,105,122, - 101,114,50,0,0,0,90,7,66,121,116,101,115,73,79,90, - 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, - 12,115,111,117,114,99,101,95,98,121,116,101,115,114,146,0, - 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, - 99,101,236,1,0,0,115,10,0,0,0,0,5,8,1,12, - 1,10,1,12,1,114,150,0,0,0,41,2,114,121,0,0, - 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, - 0,0,115,8,1,0,0,124,1,100,1,107,8,114,58,100, - 2,125,1,116,0,124,2,100,3,131,2,114,58,121,14,124, - 2,106,1,124,0,131,1,125,1,87,0,110,20,4,0,116, - 2,107,10,114,56,1,0,1,0,1,0,89,0,110,2,88, - 0,116,3,106,4,124,0,124,2,100,4,124,1,144,1,131, - 2,125,4,100,5,124,4,95,5,124,2,100,1,107,8,114, - 146,120,54,116,6,131,0,68,0,93,40,92,2,125,5,125, - 6,124,1,106,7,116,8,124,6,131,1,131,1,114,98,124, - 5,124,0,124,1,131,2,125,2,124,2,124,4,95,9,80, - 0,113,98,87,0,100,1,83,0,124,3,116,10,107,8,114, - 212,116,0,124,2,100,6,131,2,114,218,121,14,124,2,106, - 11,124,0,131,1,125,7,87,0,110,20,4,0,116,2,107, - 10,114,198,1,0,1,0,1,0,89,0,113,218,88,0,124, - 7,114,218,103,0,124,4,95,12,110,6,124,3,124,4,95, - 12,124,4,106,12,103,0,107,2,144,1,114,4,124,1,144, - 1,114,4,116,13,124,1,131,1,100,7,25,0,125,8,124, - 4,106,12,106,14,124,8,131,1,1,0,124,4,83,0,41, - 8,97,61,1,0,0,82,101,116,117,114,110,32,97,32,109, - 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82,69,78,84,95,85,83,69,82,114,40,0,0,0,90,18, - 72,75,69,89,95,76,79,67,65,76,95,77,65,67,72,73, - 78,69,41,2,218,3,99,108,115,218,3,107,101,121,114,4, - 0,0,0,114,4,0,0,0,114,5,0,0,0,218,14,95, - 111,112,101,110,95,114,101,103,105,115,116,114,121,75,2,0, - 0,115,8,0,0,0,0,2,2,1,14,1,14,1,122,36, - 87,105,110,100,111,119,115,82,101,103,105,115,116,114,121,70, - 105,110,100,101,114,46,95,111,112,101,110,95,114,101,103,105, - 115,116,114,121,99,2,0,0,0,0,0,0,0,6,0,0, - 0,16,0,0,0,67,0,0,0,115,116,0,0,0,124,0, - 106,0,114,14,124,0,106,1,125,2,110,6,124,0,106,2, - 125,2,124,2,106,3,100,1,124,1,100,2,100,3,116,4, - 106,5,100,0,100,4,133,2,25,0,22,0,144,2,131,0, - 125,3,121,38,124,0,106,6,124,3,131,1,143,18,125,4, - 116,7,106,8,124,4,100,5,131,2,125,5,87,0,100,0, - 81,0,82,0,88,0,87,0,110,20,4,0,116,9,107,10, - 114,110,1,0,1,0,1,0,100,0,83,0,88,0,124,5, - 83,0,41,6,78,114,120,0,0,0,90,11,115,121,115,95, - 118,101,114,115,105,111,110,122,5,37,100,46,37,100,114,57, - 0,0,0,114,30,0,0,0,41,10,218,11,68,69,66,85, - 71,95,66,85,73,76,68,218,18,82,69,71,73,83,84,82, - 89,95,75,69,89,95,68,69,66,85,71,218,12,82,69,71, - 73,83,84,82,89,95,75,69,89,114,48,0,0,0,114,7, - 0,0,0,218,12,118,101,114,115,105,111,110,95,105,110,102, - 111,114,167,0,0,0,114,164,0,0,0,90,10,81,117,101, - 114,121,86,97,108,117,101,114,40,0,0,0,41,6,114,165, - 0,0,0,114,120,0,0,0,90,12,114,101,103,105,115,116, - 114,121,95,107,101,121,114,166,0,0,0,90,4,104,107,101, - 121,218,8,102,105,108,101,112,97,116,104,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,218,16,95,115,101,97, - 114,99,104,95,114,101,103,105,115,116,114,121,82,2,0,0, - 115,22,0,0,0,0,2,6,1,8,2,6,1,10,1,22, - 1,2,1,12,1,26,1,14,1,6,1,122,38,87,105,110, - 100,111,119,115,82,101,103,105,115,116,114,121,70,105,110,100, - 101,114,46,95,115,101,97,114,99,104,95,114,101,103,105,115, - 116,114,121,78,99,4,0,0,0,0,0,0,0,8,0,0, - 0,14,0,0,0,67,0,0,0,115,122,0,0,0,124,0, - 106,0,124,1,131,1,125,4,124,4,100,0,107,8,114,22, - 100,0,83,0,121,12,116,1,124,4,131,1,1,0,87,0, - 110,20,4,0,116,2,107,10,114,54,1,0,1,0,1,0, - 100,0,83,0,88,0,120,60,116,3,131,0,68,0,93,50, - 92,2,125,5,125,6,124,4,106,4,116,5,124,6,131,1, - 131,1,114,64,116,6,106,7,124,1,124,5,124,1,124,4, - 131,2,100,1,124,4,144,1,131,2,125,7,124,7,83,0, - 113,64,87,0,100,0,83,0,41,2,78,114,153,0,0,0, - 41,8,114,173,0,0,0,114,39,0,0,0,114,40,0,0, - 0,114,156,0,0,0,114,93,0,0,0,114,94,0,0,0, - 114,115,0,0,0,218,16,115,112,101,99,95,102,114,111,109, - 95,108,111,97,100,101,114,41,8,114,165,0,0,0,114,120, - 0,0,0,114,35,0,0,0,218,6,116,97,114,103,101,116, - 114,172,0,0,0,114,121,0,0,0,114,161,0,0,0,114, - 159,0,0,0,114,4,0,0,0,114,4,0,0,0,114,5, - 0,0,0,218,9,102,105,110,100,95,115,112,101,99,97,2, - 0,0,115,26,0,0,0,0,2,10,1,8,1,4,1,2, - 1,12,1,14,1,6,1,16,1,14,1,6,1,10,1,8, - 1,122,31,87,105,110,100,111,119,115,82,101,103,105,115,116, - 114,121,70,105,110,100,101,114,46,102,105,110,100,95,115,112, - 101,99,99,3,0,0,0,0,0,0,0,4,0,0,0,3, - 0,0,0,67,0,0,0,115,36,0,0,0,124,0,106,0, - 124,1,124,2,131,2,125,3,124,3,100,1,107,9,114,28, - 124,3,106,1,83,0,110,4,100,1,83,0,100,1,83,0, - 41,2,122,108,70,105,110,100,32,109,111,100,117,108,101,32, - 110,97,109,101,100,32,105,110,32,116,104,101,32,114,101,103, - 105,115,116,114,121,46,10,10,32,32,32,32,32,32,32,32, - 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, - 78,41,2,114,176,0,0,0,114,121,0,0,0,41,4,114, - 165,0,0,0,114,120,0,0,0,114,35,0,0,0,114,159, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,5,0, - 0,0,218,11,102,105,110,100,95,109,111,100,117,108,101,113, - 2,0,0,115,8,0,0,0,0,7,12,1,8,1,8,2, - 122,33,87,105,110,100,111,119,115,82,101,103,105,115,116,114, - 121,70,105,110,100,101,114,46,102,105,110,100,95,109,111,100, - 117,108,101,41,2,78,78,41,1,78,41,12,114,106,0,0, - 0,114,105,0,0,0,114,107,0,0,0,114,108,0,0,0, - 114,170,0,0,0,114,169,0,0,0,114,168,0,0,0,218, - 11,99,108,97,115,115,109,101,116,104,111,100,114,167,0,0, - 0,114,173,0,0,0,114,176,0,0,0,114,177,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 5,0,0,0,114,163,0,0,0,63,2,0,0,115,20,0, - 0,0,8,2,4,3,4,3,4,2,4,2,12,7,12,15, - 2,1,12,15,2,1,114,163,0,0,0,99,0,0,0,0, - 0,0,0,0,0,0,0,0,2,0,0,0,64,0,0,0, - 115,48,0,0,0,101,0,90,1,100,0,90,2,100,1,90, - 3,100,2,100,3,132,0,90,4,100,4,100,5,132,0,90, - 5,100,6,100,7,132,0,90,6,100,8,100,9,132,0,90, - 7,100,10,83,0,41,11,218,13,95,76,111,97,100,101,114, - 66,97,115,105,99,115,122,83,66,97,115,101,32,99,108,97, - 115,115,32,111,102,32,99,111,109,109,111,110,32,99,111,100, - 101,32,110,101,101,100,101,100,32,98,121,32,98,111,116,104, - 32,83,111,117,114,99,101,76,111,97,100,101,114,32,97,110, - 100,10,32,32,32,32,83,111,117,114,99,101,108,101,115,115, - 70,105,108,101,76,111,97,100,101,114,46,99,2,0,0,0, - 0,0,0,0,5,0,0,0,3,0,0,0,67,0,0,0, - 115,64,0,0,0,116,0,124,0,106,1,124,1,131,1,131, - 1,100,1,25,0,125,2,124,2,106,2,100,2,100,1,131, - 2,100,3,25,0,125,3,124,1,106,3,100,2,131,1,100, - 4,25,0,125,4,124,3,100,5,107,2,111,62,124,4,100, - 5,107,3,83,0,41,6,122,141,67,111,110,99,114,101,116, - 101,32,105,109,112,108,101,109,101,110,116,97,116,105,111,110, - 32,111,102,32,73,110,115,112,101,99,116,76,111,97,100,101, - 114,46,105,115,95,112,97,99,107,97,103,101,32,98,121,32, - 99,104,101,99,107,105,110,103,32,105,102,10,32,32,32,32, - 32,32,32,32,116,104,101,32,112,97,116,104,32,114,101,116, - 117,114,110,101,100,32,98,121,32,103,101,116,95,102,105,108, - 101,110,97,109,101,32,104,97,115,32,97,32,102,105,108,101, - 110,97,109,101,32,111,102,32,39,95,95,105,110,105,116,95, - 95,46,112,121,39,46,114,29,0,0,0,114,59,0,0,0, - 114,60,0,0,0,114,57,0,0,0,218,8,95,95,105,110, - 105,116,95,95,41,4,114,38,0,0,0,114,152,0,0,0, - 114,34,0,0,0,114,32,0,0,0,41,5,114,101,0,0, - 0,114,120,0,0,0,114,95,0,0,0,90,13,102,105,108, - 101,110,97,109,101,95,98,97,115,101,90,9,116,97,105,108, - 95,110,97,109,101,114,4,0,0,0,114,4,0,0,0,114, - 5,0,0,0,114,154,0,0,0,132,2,0,0,115,8,0, - 0,0,0,3,18,1,16,1,14,1,122,24,95,76,111,97, - 100,101,114,66,97,115,105,99,115,46,105,115,95,112,97,99, - 107,97,103,101,99,2,0,0,0,0,0,0,0,2,0,0, - 0,1,0,0,0,67,0,0,0,115,4,0,0,0,100,1, - 83,0,41,2,122,42,85,115,101,32,100,101,102,97,117,108, - 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, - 78,114,4,0,0,0,41,2,114,101,0,0,0,114,159,0, - 0,0,114,4,0,0,0,114,4,0,0,0,114,5,0,0, - 0,218,13,99,114,101,97,116,101,95,109,111,100,117,108,101, - 140,2,0,0,115,0,0,0,0,122,27,95,76,111,97,100, - 101,114,66,97,115,105,99,115,46,99,114,101,97,116,101,95, - 109,111,100,117,108,101,99,2,0,0,0,0,0,0,0,3, - 0,0,0,4,0,0,0,67,0,0,0,115,56,0,0,0, - 124,0,106,0,124,1,106,1,131,1,125,2,124,2,100,1, - 107,8,114,36,116,2,100,2,106,3,124,1,106,1,131,1, - 131,1,130,1,116,4,106,5,116,6,124,2,124,1,106,7, - 131,3,1,0,100,1,83,0,41,3,122,19,69,120,101,99, - 117,116,101,32,116,104,101,32,109,111,100,117,108,101,46,78, - 122,52,99,97,110,110,111,116,32,108,111,97,100,32,109,111, - 100,117,108,101,32,123,33,114,125,32,119,104,101,110,32,103, - 101,116,95,99,111,100,101,40,41,32,114,101,116,117,114,110, - 115,32,78,111,110,101,41,8,218,8,103,101,116,95,99,111, - 100,101,114,106,0,0,0,114,100,0,0,0,114,48,0,0, - 0,114,115,0,0,0,218,25,95,99,97,108,108,95,119,105, - 116,104,95,102,114,97,109,101,115,95,114,101,109,111,118,101, - 100,218,4,101,120,101,99,114,112,0,0,0,41,3,114,101, - 0,0,0,218,6,109,111,100,117,108,101,114,141,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,218, - 11,101,120,101,99,95,109,111,100,117,108,101,143,2,0,0, - 115,10,0,0,0,0,2,12,1,8,1,6,1,10,1,122, - 25,95,76,111,97,100,101,114,66,97,115,105,99,115,46,101, - 120,101,99,95,109,111,100,117,108,101,99,2,0,0,0,0, - 0,0,0,2,0,0,0,3,0,0,0,67,0,0,0,115, - 12,0,0,0,116,0,106,1,124,0,124,1,131,2,83,0, - 41,1,122,26,84,104,105,115,32,109,111,100,117,108,101,32, - 105,115,32,100,101,112,114,101,99,97,116,101,100,46,41,2, - 114,115,0,0,0,218,17,95,108,111,97,100,95,109,111,100, - 117,108,101,95,115,104,105,109,41,2,114,101,0,0,0,114, - 120,0,0,0,114,4,0,0,0,114,4,0,0,0,114,5, - 0,0,0,218,11,108,111,97,100,95,109,111,100,117,108,101, - 151,2,0,0,115,2,0,0,0,0,2,122,25,95,76,111, - 97,100,101,114,66,97,115,105,99,115,46,108,111,97,100,95, - 109,111,100,117,108,101,78,41,8,114,106,0,0,0,114,105, - 0,0,0,114,107,0,0,0,114,108,0,0,0,114,154,0, - 0,0,114,181,0,0,0,114,186,0,0,0,114,188,0,0, - 0,114,4,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,5,0,0,0,114,179,0,0,0,127,2,0,0,115,10, - 0,0,0,8,3,4,2,8,8,8,3,8,8,114,179,0, - 0,0,99,0,0,0,0,0,0,0,0,0,0,0,0,3, - 0,0,0,64,0,0,0,115,74,0,0,0,101,0,90,1, - 100,0,90,2,100,1,100,2,132,0,90,3,100,3,100,4, - 132,0,90,4,100,5,100,6,132,0,90,5,100,7,100,8, - 132,0,90,6,100,9,100,10,132,0,90,7,100,18,100,12, - 156,1,100,13,100,14,132,2,90,8,100,15,100,16,132,0, - 90,9,100,17,83,0,41,19,218,12,83,111,117,114,99,101, - 76,111,97,100,101,114,99,2,0,0,0,0,0,0,0,2, - 0,0,0,1,0,0,0,67,0,0,0,115,8,0,0,0, - 116,0,130,1,100,1,83,0,41,2,122,178,79,112,116,105, - 111,110,97,108,32,109,101,116,104,111,100,32,116,104,97,116, - 32,114,101,116,117,114,110,115,32,116,104,101,32,109,111,100, - 105,102,105,99,97,116,105,111,110,32,116,105,109,101,32,40, - 97,110,32,105,110,116,41,32,102,111,114,32,116,104,101,10, - 32,32,32,32,32,32,32,32,115,112,101,99,105,102,105,101, - 100,32,112,97,116,104,44,32,119,104,101,114,101,32,112,97, - 116,104,32,105,115,32,97,32,115,116,114,46,10,10,32,32, - 32,32,32,32,32,32,82,97,105,115,101,115,32,73,79,69, - 114,114,111,114,32,119,104,101,110,32,116,104,101,32,112,97, - 116,104,32,99,97,110,110,111,116,32,98,101,32,104,97,110, - 100,108,101,100,46,10,32,32,32,32,32,32,32,32,78,41, - 1,218,7,73,79,69,114,114,111,114,41,2,114,101,0,0, - 0,114,35,0,0,0,114,4,0,0,0,114,4,0,0,0, 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100,3,100,3,125,4,126,4,88,0,110,2,88,0,116,4, - 124,3,131,1,83,0,41,4,122,52,67,111,110,99,114,101, - 116,101,32,105,109,112,108,101,109,101,110,116,97,116,105,111, - 110,32,111,102,32,73,110,115,112,101,99,116,76,111,97,100, - 101,114,46,103,101,116,95,115,111,117,114,99,101,46,122,39, - 115,111,117,114,99,101,32,110,111,116,32,97,118,97,105,108, - 97,98,108,101,32,116,104,114,111,117,103,104,32,103,101,116, - 95,100,97,116,97,40,41,114,99,0,0,0,78,41,5,114, - 152,0,0,0,218,8,103,101,116,95,100,97,116,97,114,40, - 0,0,0,114,100,0,0,0,114,150,0,0,0,41,5,114, - 101,0,0,0,114,120,0,0,0,114,35,0,0,0,114,148, - 0,0,0,218,3,101,120,99,114,4,0,0,0,114,4,0, - 0,0,114,5,0,0,0,218,10,103,101,116,95,115,111,117, - 114,99,101,196,2,0,0,115,14,0,0,0,0,2,10,1, - 2,1,14,1,16,1,6,1,28,1,122,23,83,111,117,114, - 99,101,76,111,97,100,101,114,46,103,101,116,95,115,111,117, - 114,99,101,114,29,0,0,0,41,1,218,9,95,111,112,116, - 105,109,105,122,101,99,3,0,0,0,1,0,0,0,4,0, - 0,0,9,0,0,0,67,0,0,0,115,26,0,0,0,116, - 0,106,1,116,2,124,1,124,2,100,1,100,2,100,3,100, - 4,124,3,144,2,131,4,83,0,41,5,122,130,82,101,116, - 117,114,110,32,116,104,101,32,99,111,100,101,32,111,98,106, - 101,99,116,32,99,111,109,112,105,108,101,100,32,102,114,111, - 109,32,115,111,117,114,99,101,46,10,10,32,32,32,32,32, - 32,32,32,84,104,101,32,39,100,97,116,97,39,32,97,114, - 103,117,109,101,110,116,32,99,97,110,32,98,101,32,97,110, - 121,32,111,98,106,101,99,116,32,116,121,112,101,32,116,104, - 97,116,32,99,111,109,112,105,108,101,40,41,32,115,117,112, - 112,111,114,116,115,46,10,32,32,32,32,32,32,32,32,114, - 184,0,0,0,218,12,100,111,110,116,95,105,110,104,101,114, - 105,116,84,114,69,0,0,0,41,3,114,115,0,0,0,114, - 183,0,0,0,218,7,99,111,109,112,105,108,101,41,4,114, - 101,0,0,0,114,54,0,0,0,114,35,0,0,0,114,198, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,5,0, - 0,0,218,14,115,111,117,114,99,101,95,116,111,95,99,111, - 100,101,206,2,0,0,115,4,0,0,0,0,5,14,1,122, - 27,83,111,117,114,99,101,76,111,97,100,101,114,46,115,111, - 117,114,99,101,95,116,111,95,99,111,100,101,99,2,0,0, - 0,0,0,0,0,10,0,0,0,43,0,0,0,67,0,0, - 0,115,106,1,0,0,124,0,106,0,124,1,131,1,125,2, - 100,1,125,3,121,12,116,1,124,2,131,1,125,4,87,0, - 110,24,4,0,116,2,107,10,114,50,1,0,1,0,1,0, - 100,1,125,4,89,0,110,174,88,0,121,14,124,0,106,3, - 124,2,131,1,125,5,87,0,110,20,4,0,116,4,107,10, - 114,86,1,0,1,0,1,0,89,0,110,138,88,0,116,5, - 124,5,100,2,25,0,131,1,125,3,121,14,124,0,106,6, - 124,4,131,1,125,6,87,0,110,20,4,0,116,7,107,10, - 114,134,1,0,1,0,1,0,89,0,110,90,88,0,121,26, - 116,8,124,6,100,3,124,5,100,4,124,1,100,5,124,4, - 144,3,131,1,125,7,87,0,110,24,4,0,116,9,116,10, - 102,2,107,10,114,186,1,0,1,0,1,0,89,0,110,38, - 88,0,116,11,106,12,100,6,124,4,124,2,131,3,1,0, - 116,13,124,7,100,4,124,1,100,7,124,4,100,8,124,2, - 144,3,131,1,83,0,124,0,106,6,124,2,131,1,125,8, - 124,0,106,14,124,8,124,2,131,2,125,9,116,11,106,12, - 100,9,124,2,131,2,1,0,116,15,106,16,12,0,144,1, - 114,102,124,4,100,1,107,9,144,1,114,102,124,3,100,1, - 107,9,144,1,114,102,116,17,124,9,124,3,116,18,124,8, - 131,1,131,3,125,6,121,30,124,0,106,19,124,2,124,4, - 124,6,131,3,1,0,116,11,106,12,100,10,124,4,131,2, - 1,0,87,0,110,22,4,0,116,2,107,10,144,1,114,100, - 1,0,1,0,1,0,89,0,110,2,88,0,124,9,83,0, - 41,11,122,190,67,111,110,99,114,101,116,101,32,105,109,112, - 108,101,109,101,110,116,97,116,105,111,110,32,111,102,32,73, - 110,115,112,101,99,116,76,111,97,100,101,114,46,103,101,116, - 95,99,111,100,101,46,10,10,32,32,32,32,32,32,32,32, - 82,101,97,100,105,110,103,32,111,102,32,98,121,116,101,99, - 111,100,101,32,114,101,113,117,105,114,101,115,32,112,97,116, - 104,95,115,116,97,116,115,32,116,111,32,98,101,32,105,109, - 112,108,101,109,101,110,116,101,100,46,32,84,111,32,119,114, - 105,116,101,10,32,32,32,32,32,32,32,32,98,121,116,101, - 99,111,100,101,44,32,115,101,116,95,100,97,116,97,32,109, - 117,115,116,32,97,108,115,111,32,98,101,32,105,109,112,108, - 101,109,101,110,116,101,100,46,10,10,32,32,32,32,32,32, - 32,32,78,114,127,0,0,0,114,133,0,0,0,114,99,0, - 0,0,114,35,0,0,0,122,13,123,125,32,109,97,116,99, - 104,101,115,32,123,125,114,90,0,0,0,114,91,0,0,0, - 122,19,99,111,100,101,32,111,98,106,101,99,116,32,102,114, - 111,109,32,123,125,122,10,119,114,111,116,101,32,123,33,114, - 125,41,20,114,152,0,0,0,114,80,0,0,0,114,67,0, - 0,0,114,192,0,0,0,114,190,0,0,0,114,14,0,0, - 0,114,195,0,0,0,114,40,0,0,0,114,136,0,0,0, - 114,100,0,0,0,114,131,0,0,0,114,115,0,0,0,114, - 130,0,0,0,114,142,0,0,0,114,201,0,0,0,114,7, - 0,0,0,218,19,100,111,110,116,95,119,114,105,116,101,95, - 98,121,116,101,99,111,100,101,114,145,0,0,0,114,31,0, - 0,0,114,194,0,0,0,41,10,114,101,0,0,0,114,120, - 0,0,0,114,91,0,0,0,114,134,0,0,0,114,90,0, - 0,0,218,2,115,116,114,54,0,0,0,218,10,98,121,116, - 101,115,95,100,97,116,97,114,148,0,0,0,90,11,99,111, - 100,101,95,111,98,106,101,99,116,114,4,0,0,0,114,4, - 0,0,0,114,5,0,0,0,114,182,0,0,0,214,2,0, - 0,115,78,0,0,0,0,7,10,1,4,1,2,1,12,1, - 14,1,10,2,2,1,14,1,14,1,6,2,12,1,2,1, - 14,1,14,1,6,2,2,1,6,1,8,1,12,1,18,1, - 6,2,8,1,6,1,10,1,4,1,8,1,10,1,12,1, - 12,1,20,1,10,1,6,1,10,1,2,1,14,1,16,1, - 16,1,6,1,122,21,83,111,117,114,99,101,76,111,97,100, - 101,114,46,103,101,116,95,99,111,100,101,78,114,88,0,0, - 0,41,10,114,106,0,0,0,114,105,0,0,0,114,107,0, - 0,0,114,191,0,0,0,114,192,0,0,0,114,194,0,0, - 0,114,193,0,0,0,114,197,0,0,0,114,201,0,0,0, - 114,182,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,5,0,0,0,114,189,0,0,0,156,2, - 0,0,115,14,0,0,0,8,2,8,8,8,13,8,10,8, - 7,8,10,14,8,114,189,0,0,0,99,0,0,0,0,0, - 0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,115, - 76,0,0,0,101,0,90,1,100,0,90,2,100,1,90,3, - 100,2,100,3,132,0,90,4,100,4,100,5,132,0,90,5, - 100,6,100,7,132,0,90,6,101,7,135,0,102,1,100,8, - 100,9,132,8,131,1,90,8,101,7,100,10,100,11,132,0, - 131,1,90,9,100,12,100,13,132,0,90,10,135,0,83,0, - 41,14,218,10,70,105,108,101,76,111,97,100,101,114,122,103, - 66,97,115,101,32,102,105,108,101,32,108,111,97,100,101,114, - 32,99,108,97,115,115,32,119,104,105,99,104,32,105,109,112, - 108,101,109,101,110,116,115,32,116,104,101,32,108,111,97,100, - 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, - 3,0,0,0,2,0,0,0,67,0,0,0,115,16,0,0, - 0,124,1,124,0,95,0,124,2,124,0,95,1,100,1,83, - 0,41,2,122,75,67,97,99,104,101,32,116,104,101,32,109, - 111,100,117,108,101,32,110,97,109,101,32,97,110,100,32,116, - 104,101,32,112,97,116,104,32,116,111,32,116,104,101,32,102, - 105,108,101,32,102,111,117,110,100,32,98,121,32,116,104,101, - 10,32,32,32,32,32,32,32,32,102,105,110,100,101,114,46, - 78,41,2,114,99,0,0,0,114,35,0,0,0,41,3,114, - 101,0,0,0,114,120,0,0,0,114,35,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,5,0,0,0,114,180,0, - 0,0,15,3,0,0,115,4,0,0,0,0,3,6,1,122, - 19,70,105,108,101,76,111,97,100,101,114,46,95,95,105,110, - 105,116,95,95,99,2,0,0,0,0,0,0,0,2,0,0, - 0,2,0,0,0,67,0,0,0,115,24,0,0,0,124,0, - 106,0,124,1,106,0,107,2,111,22,124,0,106,1,124,1, - 106,1,107,2,83,0,41,1,78,41,2,218,9,95,95,99, - 108,97,115,115,95,95,114,112,0,0,0,41,2,114,101,0, - 0,0,218,5,111,116,104,101,114,114,4,0,0,0,114,4, - 0,0,0,114,5,0,0,0,218,6,95,95,101,113,95,95, - 21,3,0,0,115,4,0,0,0,0,1,12,1,122,17,70, - 105,108,101,76,111,97,100,101,114,46,95,95,101,113,95,95, - 99,1,0,0,0,0,0,0,0,1,0,0,0,3,0,0, - 0,67,0,0,0,115,20,0,0,0,116,0,124,0,106,1, - 131,1,116,0,124,0,106,2,131,1,65,0,83,0,41,1, - 78,41,3,218,4,104,97,115,104,114,99,0,0,0,114,35, - 0,0,0,41,1,114,101,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,5,0,0,0,218,8,95,95,104,97,115, - 104,95,95,25,3,0,0,115,2,0,0,0,0,1,122,19, - 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, - 3,0,0,0,3,0,0,0,115,16,0,0,0,116,0,116, - 1,124,0,131,2,106,2,124,1,131,1,83,0,41,1,122, - 100,76,111,97,100,32,97,32,109,111,100,117,108,101,32,102, - 114,111,109,32,97,32,102,105,108,101,46,10,10,32,32,32, - 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, - 32,32,32,32,32,41,3,218,5,115,117,112,101,114,114,205, - 0,0,0,114,188,0,0,0,41,2,114,101,0,0,0,114, - 120,0,0,0,41,1,114,206,0,0,0,114,4,0,0,0, - 114,5,0,0,0,114,188,0,0,0,28,3,0,0,115,2, - 0,0,0,0,10,122,22,70,105,108,101,76,111,97,100,101, - 114,46,108,111,97,100,95,109,111,100,117,108,101,99,2,0, - 0,0,0,0,0,0,2,0,0,0,1,0,0,0,67,0, - 0,0,115,6,0,0,0,124,0,106,0,83,0,41,1,122, - 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, - 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41,7,114,117,0,0,0,114,184,0,0,0,114,142,0,0, + 0,90,12,101,120,101,99,95,100,121,110,97,109,105,99,114, + 132,0,0,0,114,101,0,0,0,114,37,0,0,0,41,2, + 114,103,0,0,0,114,186,0,0,0,114,4,0,0,0,114, + 4,0,0,0,114,6,0,0,0,114,187,0,0,0,148,3, + 0,0,115,6,0,0,0,0,2,14,1,6,1,122,31,69, + 120,116,101,110,115,105,111,110,70,105,108,101,76,111,97,100, + 101,114,46,101,120,101,99,95,109,111,100,117,108,101,99,2, + 0,0,0,0,0,0,0,2,0,0,0,4,0,0,0,3, + 0,0,0,115,36,0,0,0,116,0,124,0,106,1,131,1, + 100,1,25,0,137,0,116,2,135,0,102,1,100,2,100,3, + 132,8,116,3,68,0,131,1,131,1,83,0,41,4,122,49, + 82,101,116,117,114,110,32,84,114,117,101,32,105,102,32,116, + 104,101,32,101,120,116,101,110,115,105,111,110,32,109,111,100, + 117,108,101,32,105,115,32,97,32,112,97,99,107,97,103,101, + 46,114,31,0,0,0,99,1,0,0,0,0,0,0,0,2, + 0,0,0,4,0,0,0,51,0,0,0,115,26,0,0,0, + 124,0,93,18,125,1,136,0,100,0,124,1,23,0,107,2, + 86,0,1,0,113,2,100,1,83,0,41,2,114,181,0,0, + 0,78,114,4,0,0,0,41,2,114,24,0,0,0,218,6, + 115,117,102,102,105,120,41,1,218,9,102,105,108,101,95,110, + 97,109,101,114,4,0,0,0,114,6,0,0,0,250,9,60, + 103,101,110,101,120,112,114,62,157,3,0,0,115,2,0,0, + 0,4,1,122,49,69,120,116,101,110,115,105,111,110,70,105, 108,101,76,111,97,100,101,114,46,105,115,95,112,97,99,107, - 97,103,101,99,2,0,0,0,0,0,0,0,2,0,0,0, - 1,0,0,0,67,0,0,0,115,4,0,0,0,100,1,83, - 0,41,2,122,63,82,101,116,117,114,110,32,78,111,110,101, - 32,97,115,32,97,110,32,101,120,116,101,110,115,105,111,110, - 32,109,111,100,117,108,101,32,99,97,110,110,111,116,32,99, - 114,101,97,116,101,32,97,32,99,111,100,101,32,111,98,106, - 101,99,116,46,78,114,4,0,0,0,41,2,114,101,0,0, - 0,114,120,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,5,0,0,0,114,182,0,0,0,154,3,0,0,115,2, - 0,0,0,0,2,122,28,69,120,116,101,110,115,105,111,110, - 70,105,108,101,76,111,97,100,101,114,46,103,101,116,95,99, - 111,100,101,99,2,0,0,0,0,0,0,0,2,0,0,0, - 1,0,0,0,67,0,0,0,115,4,0,0,0,100,1,83, - 0,41,2,122,53,82,101,116,117,114,110,32,78,111,110,101, - 32,97,115,32,101,120,116,101,110,115,105,111,110,32,109,111, - 100,117,108,101,115,32,104,97,118,101,32,110,111,32,115,111, - 117,114,99,101,32,99,111,100,101,46,78,114,4,0,0,0, - 41,2,114,101,0,0,0,114,120,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,5,0,0,0,114,197,0,0,0, - 158,3,0,0,115,2,0,0,0,0,2,122,30,69,120,116, - 101,110,115,105,111,110,70,105,108,101,76,111,97,100,101,114, - 46,103,101,116,95,115,111,117,114,99,101,99,2,0,0,0, - 0,0,0,0,2,0,0,0,1,0,0,0,67,0,0,0, - 115,6,0,0,0,124,0,106,0,83,0,41,1,122,58,82, - 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, - 41,2,114,101,0,0,0,114,120,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,5,0,0,0,114,152,0,0,0, - 162,3,0,0,115,2,0,0,0,0,3,122,32,69,120,116, - 101,110,115,105,111,110,70,105,108,101,76,111,97,100,101,114, - 46,103,101,116,95,102,105,108,101,110,97,109,101,78,41,14, - 114,106,0,0,0,114,105,0,0,0,114,107,0,0,0,114, - 108,0,0,0,114,180,0,0,0,114,208,0,0,0,114,210, - 0,0,0,114,181,0,0,0,114,186,0,0,0,114,154,0, - 0,0,114,182,0,0,0,114,197,0,0,0,114,117,0,0, - 0,114,152,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,114,219,0,0,0,115, - 3,0,0,115,20,0,0,0,8,6,4,2,8,4,8,4, - 8,3,8,8,8,6,8,6,8,4,8,4,114,219,0,0, - 0,99,0,0,0,0,0,0,0,0,0,0,0,0,2,0, - 0,0,64,0,0,0,115,96,0,0,0,101,0,90,1,100, - 0,90,2,100,1,90,3,100,2,100,3,132,0,90,4,100, - 4,100,5,132,0,90,5,100,6,100,7,132,0,90,6,100, - 8,100,9,132,0,90,7,100,10,100,11,132,0,90,8,100, - 12,100,13,132,0,90,9,100,14,100,15,132,0,90,10,100, - 16,100,17,132,0,90,11,100,18,100,19,132,0,90,12,100, - 20,100,21,132,0,90,13,100,22,83,0,41,23,218,14,95, - 78,97,109,101,115,112,97,99,101,80,97,116,104,97,38,1, - 0,0,82,101,112,114,101,115,101,110,116,115,32,97,32,110, - 97,109,101,115,112,97,99,101,32,112,97,99,107,97,103,101, - 39,115,32,112,97,116,104,46,32,32,73,116,32,117,115,101, - 115,32,116,104,101,32,109,111,100,117,108,101,32,110,97,109, - 101,10,32,32,32,32,116,111,32,102,105,110,100,32,105,116, - 115,32,112,97,114,101,110,116,32,109,111,100,117,108,101,44, - 32,97,110,100,32,102,114,111,109,32,116,104,101,114,101,32, - 105,116,32,108,111,111,107,115,32,117,112,32,116,104,101,32, - 112,97,114,101,110,116,39,115,10,32,32,32,32,95,95,112, - 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, - 0,4,0,0,0,2,0,0,0,67,0,0,0,115,36,0, - 0,0,124,1,124,0,95,0,124,2,124,0,95,1,116,2, - 124,0,106,3,131,0,131,1,124,0,95,4,124,3,124,0, - 95,5,100,0,83,0,41,1,78,41,6,218,5,95,110,97, - 109,101,218,5,95,112,97,116,104,114,94,0,0,0,218,16, - 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, - 114,41,4,114,101,0,0,0,114,99,0,0,0,114,35,0, - 0,0,218,11,112,97,116,104,95,102,105,110,100,101,114,114, - 4,0,0,0,114,4,0,0,0,114,5,0,0,0,114,180, - 0,0,0,175,3,0,0,115,8,0,0,0,0,1,6,1, - 6,1,14,1,122,23,95,78,97,109,101,115,112,97,99,101, - 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, - 0,0,115,38,0,0,0,124,0,106,0,106,1,100,1,131, - 1,92,3,125,1,125,2,125,3,124,2,100,2,107,2,114, - 30,100,6,83,0,124,1,100,5,102,2,83,0,41,7,122, - 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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, - 2,0,0,0,4,0,0,0,67,0,0,0,115,42,0,0, - 0,120,36,116,0,106,1,106,2,131,0,68,0,93,22,125, - 1,116,3,124,1,100,1,131,2,114,12,124,1,106,4,131, - 0,1,0,113,12,87,0,100,2,83,0,41,3,122,125,67, - 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, - 108,117,101,115,114,109,0,0,0,114,247,0,0,0,41,2, - 114,165,0,0,0,218,6,102,105,110,100,101,114,114,4,0, - 0,0,114,4,0,0,0,114,5,0,0,0,114,247,0,0, - 0,18,4,0,0,115,6,0,0,0,0,4,16,1,10,1, - 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, - 0,0,0,115,86,0,0,0,116,0,106,1,100,1,107,9, - 114,30,116,0,106,1,12,0,114,30,116,2,106,3,100,2, - 116,4,131,2,1,0,120,50,116,0,106,1,68,0,93,36, - 125,2,121,8,124,2,124,1,131,1,83,0,4,0,116,5, - 107,10,114,72,1,0,1,0,1,0,119,38,89,0,113,38, - 88,0,113,38,87,0,100,1,83,0,100,1,83,0,41,3, - 122,46,83,101,97,114,99,104,32,115,121,115,46,112,97,116, - 104,95,104,111,111,107,115,32,102,111,114,32,97,32,102,105, - 110,100,101,114,32,102,111,114,32,39,112,97,116,104,39,46, - 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, - 0,218,10,112,97,116,104,95,104,111,111,107,115,114,61,0, - 0,0,114,62,0,0,0,114,119,0,0,0,114,100,0,0, - 0,41,3,114,165,0,0,0,114,35,0,0,0,90,4,104, - 111,111,107,114,4,0,0,0,114,4,0,0,0,114,5,0, - 0,0,218,11,95,112,97,116,104,95,104,111,111,107,115,26, - 4,0,0,115,16,0,0,0,0,3,18,1,12,1,12,1, - 2,1,8,1,14,1,12,2,122,22,80,97,116,104,70,105, - 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, - 0,67,0,0,0,115,102,0,0,0,124,1,100,1,107,2, - 114,42,121,12,116,0,106,1,131,0,125,1,87,0,110,20, - 4,0,116,2,107,10,114,40,1,0,1,0,1,0,100,2, - 83,0,88,0,121,14,116,3,106,4,124,1,25,0,125,2, - 87,0,110,40,4,0,116,5,107,10,114,96,1,0,1,0, - 1,0,124,0,106,6,124,1,131,1,125,2,124,2,116,3, - 106,4,124,1,60,0,89,0,110,2,88,0,124,2,83,0, - 41,3,122,210,71,101,116,32,116,104,101,32,102,105,110,100, - 101,114,32,102,111,114,32,116,104,101,32,112,97,116,104,32, - 101,110,116,114,121,32,102,114,111,109,32,115,121,115,46,112, - 97,116,104,95,105,109,112,111,114,116,101,114,95,99,97,99, - 104,101,46,10,10,32,32,32,32,32,32,32,32,73,102,32, - 116,104,101,32,112,97,116,104,32,101,110,116,114,121,32,105, - 115,32,110,111,116,32,105,110,32,116,104,101,32,99,97,99, - 104,101,44,32,102,105,110,100,32,116,104,101,32,97,112,112, - 114,111,112,114,105,97,116,101,32,102,105,110,100,101,114,10, - 32,32,32,32,32,32,32,32,97,110,100,32,99,97,99,104, - 101,32,105,116,46,32,73,102,32,110,111,32,102,105,110,100, - 101,114,32,105,115,32,97,118,97,105,108,97,98,108,101,44, - 32,115,116,111,114,101,32,78,111,110,101,46,10,10,32,32, - 32,32,32,32,32,32,114,30,0,0,0,78,41,7,114,3, - 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, - 114,248,0,0,0,114,132,0,0,0,114,252,0,0,0,41, - 3,114,165,0,0,0,114,35,0,0,0,114,250,0,0,0, - 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, - 99,97,99,104,101,39,4,0,0,115,22,0,0,0,0,8, - 8,1,2,1,12,1,14,3,6,1,2,1,14,1,14,1, - 10,1,16,1,122,31,80,97,116,104,70,105,110,100,101,114, - 46,95,112,97,116,104,95,105,109,112,111,114,116,101,114,95, - 99,97,99,104,101,99,3,0,0,0,0,0,0,0,6,0, - 0,0,3,0,0,0,67,0,0,0,115,82,0,0,0,116, - 0,124,2,100,1,131,2,114,26,124,2,106,1,124,1,131, - 1,92,2,125,3,125,4,110,14,124,2,106,2,124,1,131, - 1,125,3,103,0,125,4,124,3,100,0,107,9,114,60,116, - 3,106,4,124,1,124,3,131,2,83,0,116,3,106,5,124, - 1,100,0,131,2,125,5,124,4,124,5,95,6,124,5,83, - 0,41,2,78,114,118,0,0,0,41,7,114,109,0,0,0, - 114,118,0,0,0,114,177,0,0,0,114,115,0,0,0,114, - 174,0,0,0,114,155,0,0,0,114,151,0,0,0,41,6, - 114,165,0,0,0,114,120,0,0,0,114,250,0,0,0,114, - 121,0,0,0,114,122,0,0,0,114,159,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,5,0,0,0,218,16,95, - 108,101,103,97,99,121,95,103,101,116,95,115,112,101,99,61, - 4,0,0,115,18,0,0,0,0,4,10,1,16,2,10,1, - 4,1,8,1,12,1,12,1,6,1,122,27,80,97,116,104, - 70,105,110,100,101,114,46,95,108,101,103,97,99,121,95,103, - 101,116,95,115,112,101,99,78,99,4,0,0,0,0,0,0, - 0,9,0,0,0,5,0,0,0,67,0,0,0,115,170,0, - 0,0,103,0,125,4,120,160,124,2,68,0,93,130,125,5, - 116,0,124,5,116,1,116,2,102,2,131,2,115,30,113,10, - 124,0,106,3,124,5,131,1,125,6,124,6,100,1,107,9, - 114,10,116,4,124,6,100,2,131,2,114,72,124,6,106,5, - 124,1,124,3,131,2,125,7,110,12,124,0,106,6,124,1, - 124,6,131,2,125,7,124,7,100,1,107,8,114,94,113,10, - 124,7,106,7,100,1,107,9,114,108,124,7,83,0,124,7, - 106,8,125,8,124,8,100,1,107,8,114,130,116,9,100,3, - 131,1,130,1,124,4,106,10,124,8,131,1,1,0,113,10, - 87,0,116,11,106,12,124,1,100,1,131,2,125,7,124,4, - 124,7,95,8,124,7,83,0,100,1,83,0,41,4,122,63, - 70,105,110,100,32,116,104,101,32,108,111,97,100,101,114,32, - 111,114,32,110,97,109,101,115,112,97,99,101,95,112,97,116, - 104,32,102,111,114,32,116,104,105,115,32,109,111,100,117,108, - 101,47,112,97,99,107,97,103,101,32,110,97,109,101,46,78, - 114,176,0,0,0,122,19,115,112,101,99,32,109,105,115,115, - 105,110,103,32,108,111,97,100,101,114,41,13,114,138,0,0, - 0,114,70,0,0,0,218,5,98,121,116,101,115,114,254,0, - 0,0,114,109,0,0,0,114,176,0,0,0,114,255,0,0, - 0,114,121,0,0,0,114,151,0,0,0,114,100,0,0,0, - 114,144,0,0,0,114,115,0,0,0,114,155,0,0,0,41, - 9,114,165,0,0,0,114,120,0,0,0,114,35,0,0,0, - 114,175,0,0,0,218,14,110,97,109,101,115,112,97,99,101, - 95,112,97,116,104,90,5,101,110,116,114,121,114,250,0,0, - 0,114,159,0,0,0,114,122,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,5,0,0,0,218,9,95,103,101,116, - 95,115,112,101,99,76,4,0,0,115,40,0,0,0,0,5, - 4,1,10,1,14,1,2,1,10,1,8,1,10,1,14,2, - 12,1,8,1,2,1,10,1,4,1,6,1,8,1,8,5, - 14,2,12,1,6,1,122,20,80,97,116,104,70,105,110,100, - 101,114,46,95,103,101,116,95,115,112,101,99,99,4,0,0, - 0,0,0,0,0,6,0,0,0,4,0,0,0,67,0,0, - 0,115,104,0,0,0,124,2,100,1,107,8,114,14,116,0, - 106,1,125,2,124,0,106,2,124,1,124,2,124,3,131,3, - 125,4,124,4,100,1,107,8,114,42,100,1,83,0,110,58, - 124,4,106,3,100,1,107,8,114,96,124,4,106,4,125,5, - 124,5,114,90,100,2,124,4,95,5,116,6,124,1,124,5, - 124,0,106,2,131,3,124,4,95,4,124,4,83,0,113,100, - 100,1,83,0,110,4,124,4,83,0,100,1,83,0,41,3, - 122,141,84,114,121,32,116,111,32,102,105,110,100,32,97,32, - 115,112,101,99,32,102,111,114,32,39,102,117,108,108,110,97, - 109,101,39,32,111,110,32,115,121,115,46,112,97,116,104,32, - 111,114,32,39,112,97,116,104,39,46,10,10,32,32,32,32, - 32,32,32,32,84,104,101,32,115,101,97,114,99,104,32,105, - 115,32,98,97,115,101,100,32,111,110,32,115,121,115,46,112, - 97,116,104,95,104,111,111,107,115,32,97,110,100,32,115,121, - 115,46,112,97,116,104,95,105,109,112,111,114,116,101,114,95, - 99,97,99,104,101,46,10,32,32,32,32,32,32,32,32,78, - 90,9,110,97,109,101,115,112,97,99,101,41,7,114,7,0, - 0,0,114,35,0,0,0,114,2,1,0,0,114,121,0,0, - 0,114,151,0,0,0,114,153,0,0,0,114,225,0,0,0, - 41,6,114,165,0,0,0,114,120,0,0,0,114,35,0,0, - 0,114,175,0,0,0,114,159,0,0,0,114,1,1,0,0, - 114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,114, - 176,0,0,0,108,4,0,0,115,26,0,0,0,0,6,8, - 1,6,1,14,1,8,1,6,1,10,1,6,1,4,3,6, - 1,16,1,6,2,6,2,122,20,80,97,116,104,70,105,110, - 100,101,114,46,102,105,110,100,95,115,112,101,99,99,3,0, - 0,0,0,0,0,0,4,0,0,0,3,0,0,0,67,0, - 0,0,115,30,0,0,0,124,0,106,0,124,1,124,2,131, - 2,125,3,124,3,100,1,107,8,114,24,100,1,83,0,124, - 3,106,1,83,0,41,2,122,170,102,105,110,100,32,116,104, - 101,32,109,111,100,117,108,101,32,111,110,32,115,121,115,46, - 112,97,116,104,32,111,114,32,39,112,97,116,104,39,32,98, - 97,115,101,100,32,111,110,32,115,121,115,46,112,97,116,104, - 95,104,111,111,107,115,32,97,110,100,10,32,32,32,32,32, - 32,32,32,115,121,115,46,112,97,116,104,95,105,109,112,111, - 114,116,101,114,95,99,97,99,104,101,46,10,10,32,32,32, - 32,32,32,32,32,84,104,105,115,32,109,101,116,104,111,100, - 32,105,115,32,100,101,112,114,101,99,97,116,101,100,46,32, - 32,85,115,101,32,102,105,110,100,95,115,112,101,99,40,41, - 32,105,110,115,116,101,97,100,46,10,10,32,32,32,32,32, - 32,32,32,78,41,2,114,176,0,0,0,114,121,0,0,0, - 41,4,114,165,0,0,0,114,120,0,0,0,114,35,0,0, - 0,114,159,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,5,0,0,0,114,177,0,0,0,132,4,0,0,115,8, - 0,0,0,0,8,12,1,8,1,4,1,122,22,80,97,116, - 104,70,105,110,100,101,114,46,102,105,110,100,95,109,111,100, - 117,108,101,41,1,78,41,2,78,78,41,1,78,41,12,114, - 106,0,0,0,114,105,0,0,0,114,107,0,0,0,114,108, - 0,0,0,114,178,0,0,0,114,247,0,0,0,114,252,0, - 0,0,114,254,0,0,0,114,255,0,0,0,114,2,1,0, - 0,114,176,0,0,0,114,177,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,114, - 246,0,0,0,14,4,0,0,115,22,0,0,0,8,2,4, - 2,12,8,12,13,12,22,12,15,2,1,12,31,2,1,12, - 23,2,1,114,246,0,0,0,99,0,0,0,0,0,0,0, - 0,0,0,0,0,3,0,0,0,64,0,0,0,115,90,0, - 0,0,101,0,90,1,100,0,90,2,100,1,90,3,100,2, - 100,3,132,0,90,4,100,4,100,5,132,0,90,5,101,6, - 90,7,100,6,100,7,132,0,90,8,100,8,100,9,132,0, - 90,9,100,19,100,11,100,12,132,1,90,10,100,13,100,14, - 132,0,90,11,101,12,100,15,100,16,132,0,131,1,90,13, - 100,17,100,18,132,0,90,14,100,10,83,0,41,20,218,10, - 70,105,108,101,70,105,110,100,101,114,122,172,70,105,108,101, - 45,98,97,115,101,100,32,102,105,110,100,101,114,46,10,10, - 32,32,32,32,73,110,116,101,114,97,99,116,105,111,110,115, - 32,119,105,116,104,32,116,104,101,32,102,105,108,101,32,115, - 121,115,116,101,109,32,97,114,101,32,99,97,99,104,101,100, - 32,102,111,114,32,112,101,114,102,111,114,109,97,110,99,101, - 44,32,98,101,105,110,103,10,32,32,32,32,114,101,102,114, - 101,115,104,101,100,32,119,104,101,110,32,116,104,101,32,100, - 105,114,101,99,116,111,114,121,32,116,104,101,32,102,105,110, - 100,101,114,32,105,115,32,104,97,110,100,108,105,110,103,32, - 104,97,115,32,98,101,101,110,32,109,111,100,105,102,105,101, - 100,46,10,10,32,32,32,32,99,2,0,0,0,0,0,0, - 0,5,0,0,0,5,0,0,0,7,0,0,0,115,88,0, - 0,0,103,0,125,3,120,40,124,2,68,0,93,32,92,2, - 137,0,125,4,124,3,106,0,135,0,102,1,100,1,100,2, - 132,8,124,4,68,0,131,1,131,1,1,0,113,10,87,0, - 124,3,124,0,95,1,124,1,112,58,100,3,124,0,95,2, - 100,6,124,0,95,3,116,4,131,0,124,0,95,5,116,4, - 131,0,124,0,95,6,100,5,83,0,41,7,122,154,73,110, - 105,116,105,97,108,105,122,101,32,119,105,116,104,32,116,104, - 101,32,112,97,116,104,32,116,111,32,115,101,97,114,99,104, - 32,111,110,32,97,110,100,32,97,32,118,97,114,105,97,98, - 108,101,32,110,117,109,98,101,114,32,111,102,10,32,32,32, - 32,32,32,32,32,50,45,116,117,112,108,101,115,32,99,111, - 110,116,97,105,110,105,110,103,32,116,104,101,32,108,111,97, - 100,101,114,32,97,110,100,32,116,104,101,32,102,105,108,101, - 32,115,117,102,102,105,120,101,115,32,116,104,101,32,108,111, - 97,100,101,114,10,32,32,32,32,32,32,32,32,114,101,99, - 111,103,110,105,122,101,115,46,99,1,0,0,0,0,0,0, - 0,2,0,0,0,3,0,0,0,51,0,0,0,115,22,0, - 0,0,124,0,93,14,125,1,124,1,136,0,102,2,86,0, - 1,0,113,2,100,0,83,0,41,1,78,114,4,0,0,0, - 41,2,114,22,0,0,0,114,220,0,0,0,41,1,114,121, - 0,0,0,114,4,0,0,0,114,5,0,0,0,114,222,0, - 0,0,161,4,0,0,115,2,0,0,0,4,0,122,38,70, - 105,108,101,70,105,110,100,101,114,46,95,95,105,110,105,116, - 95,95,46,60,108,111,99,97,108,115,62,46,60,103,101,110, - 101,120,112,114,62,114,59,0,0,0,114,29,0,0,0,78, - 114,88,0,0,0,41,7,114,144,0,0,0,218,8,95,108, - 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, - 5,114,101,0,0,0,114,35,0,0,0,218,14,108,111,97, - 100,101,114,95,100,101,116,97,105,108,115,90,7,108,111,97, - 100,101,114,115,114,161,0,0,0,114,4,0,0,0,41,1, - 114,121,0,0,0,114,5,0,0,0,114,180,0,0,0,155, - 4,0,0,115,16,0,0,0,0,4,4,1,14,1,28,1, - 6,2,10,1,6,1,8,1,122,19,70,105,108,101,70,105, - 110,100,101,114,46,95,95,105,110,105,116,95,95,99,1,0, - 0,0,0,0,0,0,1,0,0,0,2,0,0,0,67,0, - 0,0,115,10,0,0,0,100,3,124,0,95,0,100,2,83, - 0,41,4,122,31,73,110,118,97,108,105,100,97,116,101,32, - 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111,114,95,70,105,108,101,70,105,110,100,101,114,25,5,0, - 0,115,6,0,0,0,0,2,8,1,14,1,122,54,70,105, - 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, - 110,100,101,114,114,4,0,0,0,41,3,114,165,0,0,0, - 114,9,1,0,0,114,15,1,0,0,114,4,0,0,0,41, - 2,114,165,0,0,0,114,9,1,0,0,114,5,0,0,0, - 218,9,112,97,116,104,95,104,111,111,107,15,5,0,0,115, - 4,0,0,0,0,10,14,6,122,20,70,105,108,101,70,105, - 110,100,101,114,46,112,97,116,104,95,104,111,111,107,99,1, - 0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,67, - 0,0,0,115,12,0,0,0,100,1,106,0,124,0,106,1, - 131,1,83,0,41,2,78,122,16,70,105,108,101,70,105,110, - 100,101,114,40,123,33,114,125,41,41,2,114,48,0,0,0, - 114,35,0,0,0,41,1,114,101,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,5,0,0,0,114,241,0,0,0, - 33,5,0,0,115,2,0,0,0,0,1,122,19,70,105,108, - 101,70,105,110,100,101,114,46,95,95,114,101,112,114,95,95, - 41,1,78,41,15,114,106,0,0,0,114,105,0,0,0,114, - 107,0,0,0,114,108,0,0,0,114,180,0,0,0,114,247, - 0,0,0,114,124,0,0,0,114,177,0,0,0,114,118,0, - 0,0,114,2,1,0,0,114,176,0,0,0,114,10,1,0, - 0,114,178,0,0,0,114,16,1,0,0,114,241,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 5,0,0,0,114,3,1,0,0,146,4,0,0,115,20,0, - 0,0,8,7,4,2,8,14,8,4,4,2,8,12,8,5, - 10,48,8,31,12,18,114,3,1,0,0,99,4,0,0,0, - 0,0,0,0,6,0,0,0,11,0,0,0,67,0,0,0, - 115,148,0,0,0,124,0,106,0,100,1,131,1,125,4,124, - 0,106,0,100,2,131,1,125,5,124,4,115,66,124,5,114, - 36,124,5,106,1,125,4,110,30,124,2,124,3,107,2,114, - 56,116,2,124,1,124,2,131,2,125,4,110,10,116,3,124, - 1,124,2,131,2,125,4,124,5,115,86,116,4,124,1,124, - 2,100,3,124,4,144,1,131,2,125,5,121,36,124,5,124, - 0,100,2,60,0,124,4,124,0,100,1,60,0,124,2,124, - 0,100,4,60,0,124,3,124,0,100,5,60,0,87,0,110, - 20,4,0,116,5,107,10,114,142,1,0,1,0,1,0,89, - 0,110,2,88,0,100,0,83,0,41,6,78,218,10,95,95, - 108,111,97,100,101,114,95,95,218,8,95,95,115,112,101,99, - 95,95,114,121,0,0,0,90,8,95,95,102,105,108,101,95, - 95,90,10,95,95,99,97,99,104,101,100,95,95,41,6,218, - 3,103,101,116,114,121,0,0,0,114,218,0,0,0,114,213, - 0,0,0,114,162,0,0,0,218,9,69,120,99,101,112,116, - 105,111,110,41,6,90,2,110,115,114,99,0,0,0,90,8, - 112,97,116,104,110,97,109,101,90,9,99,112,97,116,104,110, - 97,109,101,114,121,0,0,0,114,159,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,5,0,0,0,218,14,95,102, - 105,120,95,117,112,95,109,111,100,117,108,101,39,5,0,0, - 115,34,0,0,0,0,2,10,1,10,1,4,1,4,1,8, - 1,8,1,12,2,10,1,4,1,16,1,2,1,8,1,8, - 1,8,1,12,1,14,2,114,21,1,0,0,99,0,0,0, - 0,0,0,0,0,3,0,0,0,3,0,0,0,67,0,0, - 0,115,38,0,0,0,116,0,116,1,106,2,131,0,102,2, - 125,0,116,3,116,4,102,2,125,1,116,5,116,6,102,2, - 125,2,124,0,124,1,124,2,103,3,83,0,41,1,122,95, - 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, - 7,114,219,0,0,0,114,140,0,0,0,218,18,101,120,116, - 101,110,115,105,111,110,95,115,117,102,102,105,120,101,115,114, - 213,0,0,0,114,85,0,0,0,114,218,0,0,0,114,75, - 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, - 0,0,114,156,0,0,0,62,5,0,0,115,8,0,0,0, - 0,5,12,1,8,1,8,1,114,156,0,0,0,99,1,0, - 0,0,0,0,0,0,12,0,0,0,12,0,0,0,67,0, - 0,0,115,188,1,0,0,124,0,97,0,116,0,106,1,97, - 1,116,0,106,2,97,2,116,1,106,3,116,4,25,0,125, - 1,120,56,100,26,68,0,93,48,125,2,124,2,116,1,106, - 3,107,7,114,58,116,0,106,5,124,2,131,1,125,3,110, - 10,116,1,106,3,124,2,25,0,125,3,116,6,124,1,124, - 2,124,3,131,3,1,0,113,32,87,0,100,5,100,6,103, - 1,102,2,100,7,100,8,100,6,103,2,102,2,102,2,125, - 4,120,118,124,4,68,0,93,102,92,2,125,5,125,6,116, - 7,100,9,100,10,132,0,124,6,68,0,131,1,131,1,115, - 142,116,8,130,1,124,6,100,11,25,0,125,7,124,5,116, - 1,106,3,107,6,114,174,116,1,106,3,124,5,25,0,125, - 8,80,0,113,112,121,16,116,0,106,5,124,5,131,1,125, - 8,80,0,87,0,113,112,4,0,116,9,107,10,114,212,1, - 0,1,0,1,0,119,112,89,0,113,112,88,0,113,112,87, - 0,116,9,100,12,131,1,130,1,116,6,124,1,100,13,124, - 8,131,3,1,0,116,6,124,1,100,14,124,7,131,3,1, - 0,116,6,124,1,100,15,100,16,106,10,124,6,131,1,131, - 3,1,0,121,14,116,0,106,5,100,17,131,1,125,9,87, - 0,110,26,4,0,116,9,107,10,144,1,114,52,1,0,1, - 0,1,0,100,18,125,9,89,0,110,2,88,0,116,6,124, - 1,100,17,124,9,131,3,1,0,116,0,106,5,100,19,131, - 1,125,10,116,6,124,1,100,19,124,10,131,3,1,0,124, - 5,100,7,107,2,144,1,114,120,116,0,106,5,100,20,131, - 1,125,11,116,6,124,1,100,21,124,11,131,3,1,0,116, - 6,124,1,100,22,116,11,131,0,131,3,1,0,116,12,106, - 13,116,2,106,14,131,0,131,1,1,0,124,5,100,7,107, - 2,144,1,114,184,116,15,106,16,100,23,131,1,1,0,100, - 24,116,12,107,6,144,1,114,184,100,25,116,17,95,18,100, - 18,83,0,41,27,122,205,83,101,116,117,112,32,116,104,101, - 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, - 32,32,32,32,114,50,0,0,0,114,61,0,0,0,218,8, - 98,117,105,108,116,105,110,115,114,137,0,0,0,90,5,112, - 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, - 0,0,0,115,26,0,0,0,124,0,93,18,125,1,116,0, - 124,1,131,1,100,0,107,2,86,0,1,0,113,2,100,1, - 83,0,41,2,114,29,0,0,0,78,41,1,114,31,0,0, - 0,41,2,114,22,0,0,0,114,78,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,5,0,0,0,114,222,0,0, - 0,98,5,0,0,115,2,0,0,0,4,0,122,25,95,115, - 101,116,117,112,46,60,108,111,99,97,108,115,62,46,60,103, - 101,110,101,120,112,114,62,114,60,0,0,0,122,30,105,109, - 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, - 107,114,101,102,90,6,119,105,110,114,101,103,114,164,0,0, - 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, - 115,122,7,109,97,114,115,104,97,108,41,19,114,115,0,0, - 0,114,7,0,0,0,114,140,0,0,0,114,234,0,0,0, - 114,106,0,0,0,90,18,95,98,117,105,108,116,105,110,95, - 102,114,111,109,95,110,97,109,101,114,110,0,0,0,218,3, - 97,108,108,218,14,65,115,115,101,114,116,105,111,110,69,114, - 114,111,114,114,100,0,0,0,114,26,0,0,0,114,11,0, - 0,0,114,224,0,0,0,114,144,0,0,0,114,22,1,0, - 0,114,85,0,0,0,114,158,0,0,0,114,163,0,0,0, - 114,168,0,0,0,41,12,218,17,95,98,111,111,116,115,116, - 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, - 6,95,115,101,116,117,112,73,5,0,0,115,82,0,0,0, - 0,8,4,1,6,1,6,3,10,1,10,1,10,1,12,2, - 10,1,16,3,22,1,14,2,22,1,8,1,10,1,10,1, - 4,2,2,1,10,1,6,1,14,1,12,2,8,1,12,1, - 12,1,18,3,2,1,14,1,16,2,10,1,12,3,10,1, - 12,3,10,1,10,1,12,3,14,1,14,1,10,1,10,1, - 10,1,114,30,1,0,0,99,1,0,0,0,0,0,0,0, - 2,0,0,0,3,0,0,0,67,0,0,0,115,84,0,0, - 0,116,0,124,0,131,1,1,0,116,1,131,0,125,1,116, - 2,106,3,106,4,116,5,106,6,124,1,140,0,103,1,131, - 1,1,0,116,7,106,8,100,1,107,2,114,56,116,2,106, - 9,106,10,116,11,131,1,1,0,116,2,106,9,106,10,116, - 12,131,1,1,0,116,5,124,0,95,5,116,13,124,0,95, - 13,100,2,83,0,41,3,122,41,73,110,115,116,97,108,108, - 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, - 115,46,114,25,1,0,0,78,41,14,114,30,1,0,0,114, - 156,0,0,0,114,7,0,0,0,114,251,0,0,0,114,144, - 0,0,0,114,3,1,0,0,114,16,1,0,0,114,3,0, - 0,0,114,106,0,0,0,218,9,109,101,116,97,95,112,97, - 116,104,114,158,0,0,0,114,163,0,0,0,114,246,0,0, - 0,114,213,0,0,0,41,2,114,29,1,0,0,90,17,115, - 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, - 8,95,105,110,115,116,97,108,108,141,5,0,0,115,16,0, - 0,0,0,2,8,1,6,1,20,1,10,1,12,1,12,4, - 6,1,114,32,1,0,0,41,3,122,3,119,105,110,114,1, - 0,0,0,114,2,0,0,0,41,1,114,47,0,0,0,41, - 1,78,41,3,78,78,78,41,3,78,78,78,41,2,114,60, - 0,0,0,114,60,0,0,0,41,1,78,41,1,78,41,56, - 114,108,0,0,0,114,10,0,0,0,114,11,0,0,0,114, - 17,0,0,0,114,19,0,0,0,114,28,0,0,0,114,38, - 0,0,0,114,39,0,0,0,114,43,0,0,0,114,44,0, - 0,0,114,46,0,0,0,114,56,0,0,0,218,4,116,121, - 112,101,218,8,95,95,99,111,100,101,95,95,114,139,0,0, - 0,114,15,0,0,0,114,129,0,0,0,114,14,0,0,0, - 114,18,0,0,0,90,17,95,82,65,87,95,77,65,71,73, - 67,95,78,85,77,66,69,82,114,74,0,0,0,114,73,0, - 0,0,114,85,0,0,0,114,75,0,0,0,90,23,68,69, - 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, - 69,83,114,80,0,0,0,114,86,0,0,0,114,92,0,0, - 0,114,96,0,0,0,114,98,0,0,0,114,117,0,0,0, - 114,124,0,0,0,114,136,0,0,0,114,142,0,0,0,114, - 145,0,0,0,114,150,0,0,0,218,6,111,98,106,101,99, - 116,114,157,0,0,0,114,162,0,0,0,114,163,0,0,0, - 114,179,0,0,0,114,189,0,0,0,114,205,0,0,0,114, - 213,0,0,0,114,218,0,0,0,114,224,0,0,0,114,219, - 0,0,0,114,225,0,0,0,114,244,0,0,0,114,246,0, - 0,0,114,3,1,0,0,114,21,1,0,0,114,156,0,0, - 0,114,30,1,0,0,114,32,1,0,0,114,4,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,5,0,0,0,218, - 8,60,109,111,100,117,108,101,62,8,0,0,0,115,102,0, - 0,0,4,17,4,3,8,13,8,5,8,5,8,6,8,12, - 8,10,8,9,8,5,8,7,10,22,10,116,16,1,12,2, - 4,1,4,2,6,2,6,2,8,2,16,44,8,33,8,19, - 8,12,8,12,8,28,8,17,10,55,10,12,10,10,8,14, - 6,3,4,1,14,65,14,64,14,29,16,110,14,41,18,45, - 18,16,4,3,18,53,14,60,14,42,14,127,0,5,14,127, - 0,22,10,23,8,11,8,68, + 0,67,0,0,0,115,84,0,0,0,116,0,124,0,131,1, + 1,0,116,1,131,0,125,1,116,2,106,3,106,4,116,5, + 106,6,124,1,140,0,103,1,131,1,1,0,116,7,106,8, + 100,1,107,2,114,56,116,2,106,9,106,10,116,11,131,1, + 1,0,116,2,106,9,106,10,116,12,131,1,1,0,116,5, + 124,0,95,5,116,13,124,0,95,13,100,2,83,0,41,3, + 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, + 99,111,109,112,111,110,101,110,116,115,46,114,26,1,0,0, + 78,41,14,114,31,1,0,0,114,158,0,0,0,114,8,0, + 0,0,114,252,0,0,0,114,146,0,0,0,114,4,1,0, + 0,114,17,1,0,0,114,3,0,0,0,114,108,0,0,0, + 218,9,109,101,116,97,95,112,97,116,104,114,160,0,0,0, + 114,165,0,0,0,114,247,0,0,0,114,214,0,0,0,41, + 2,114,30,1,0,0,90,17,115,117,112,112,111,114,116,101, + 100,95,108,111,97,100,101,114,115,114,4,0,0,0,114,4, + 0,0,0,114,6,0,0,0,218,8,95,105,110,115,116,97, + 108,108,147,5,0,0,115,16,0,0,0,0,2,8,1,6, + 1,20,1,10,1,12,1,12,4,6,1,114,33,1,0,0, + 41,1,122,3,119,105,110,41,2,114,1,0,0,0,114,2, + 0,0,0,41,1,114,49,0,0,0,41,1,78,41,3,78, + 78,78,41,3,78,78,78,41,2,114,62,0,0,0,114,62, + 0,0,0,41,1,78,41,1,78,41,58,114,110,0,0,0, + 114,12,0,0,0,90,37,95,67,65,83,69,95,73,78,83, + 69,78,83,73,84,73,86,69,95,80,76,65,84,70,79,82, + 77,83,95,66,89,84,69,83,95,75,69,89,114,11,0,0, + 0,114,13,0,0,0,114,19,0,0,0,114,21,0,0,0, + 114,30,0,0,0,114,40,0,0,0,114,41,0,0,0,114, + 45,0,0,0,114,46,0,0,0,114,48,0,0,0,114,58, + 0,0,0,218,4,116,121,112,101,218,8,95,95,99,111,100, + 101,95,95,114,141,0,0,0,114,17,0,0,0,114,131,0, + 0,0,114,16,0,0,0,114,20,0,0,0,90,17,95,82, + 65,87,95,77,65,71,73,67,95,78,85,77,66,69,82,114, + 76,0,0,0,114,75,0,0,0,114,87,0,0,0,114,77, + 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, + 95,83,85,70,70,73,88,69,83,114,82,0,0,0,114,88, + 0,0,0,114,94,0,0,0,114,98,0,0,0,114,100,0, + 0,0,114,119,0,0,0,114,126,0,0,0,114,138,0,0, + 0,114,144,0,0,0,114,147,0,0,0,114,152,0,0,0, + 218,6,111,98,106,101,99,116,114,159,0,0,0,114,164,0, + 0,0,114,165,0,0,0,114,180,0,0,0,114,190,0,0, + 0,114,206,0,0,0,114,214,0,0,0,114,219,0,0,0, + 114,225,0,0,0,114,220,0,0,0,114,226,0,0,0,114, + 245,0,0,0,114,247,0,0,0,114,4,1,0,0,114,22, + 1,0,0,114,158,0,0,0,114,31,1,0,0,114,33,1, + 0,0,114,4,0,0,0,114,4,0,0,0,114,4,0,0, + 0,114,6,0,0,0,218,8,60,109,111,100,117,108,101,62, + 8,0,0,0,115,108,0,0,0,4,16,4,1,4,1,2, + 1,6,3,8,17,8,5,8,5,8,6,8,12,8,10,8, + 9,8,5,8,7,10,22,10,116,16,1,12,2,4,1,4, + 2,6,2,6,2,8,2,16,44,8,33,8,19,8,12,8, + 12,8,28,8,17,10,55,10,12,10,10,8,14,6,3,4, + 1,14,65,14,64,14,29,16,110,14,41,18,45,18,16,4, + 3,18,53,14,60,14,42,14,127,0,5,14,127,0,22,10, + 23,8,11,8,68, }; -- cgit v1.2.1 From 93bb5ddfb5524c68a3ab6f66644a976071f6a3f2 Mon Sep 17 00:00:00 2001 From: Martin Panter Date: Fri, 29 Jul 2016 04:00:44 +0000 Subject: Issue #17596: MINGW: add wincrypt.h in Python/random.c Based on patch by Roumen Petrov. --- Python/random.c | 3 +++ 1 file changed, 3 insertions(+) (limited to 'Python') diff --git a/Python/random.c b/Python/random.c index c8e844ee67..945269a2f6 100644 --- a/Python/random.c +++ b/Python/random.c @@ -1,6 +1,9 @@ #include "Python.h" #ifdef MS_WINDOWS # include +/* All sample MSDN wincrypt programs include the header below. It is at least + * required with Min GW. */ +# include #else # include # ifdef HAVE_SYS_STAT_H -- cgit v1.2.1 From 47f7f2f22d067813b1406f7aa9328b53f264aa6a Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Tue, 2 Aug 2016 22:51:21 +0300 Subject: Issue #22557: Now importing already imported modules is up to 2.5 times faster. --- Python/ceval.c | 79 +++++++---- Python/import.c | 395 +++++++++++++++++++++++---------------------------- Python/pylifecycle.c | 5 + Python/pystate.c | 2 + 4 files changed, 235 insertions(+), 246 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 7c664ad6c6..7ca3ad253f 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -139,6 +139,7 @@ static int maybe_call_line_trace(Py_tracefunc, PyObject *, PyThreadState *, PyFrameObject *, int *, int *, int *); static PyObject * cmp_outcome(int, PyObject *, PyObject *); +static PyObject * import_name(PyFrameObject *, PyObject *, PyObject *, PyObject *); static PyObject * import_from(PyObject *, PyObject *); static int import_all_from(PyObject *, PyObject *); static void format_exc_check_arg(PyObject *, const char *, PyObject *); @@ -2808,37 +2809,15 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) } TARGET(IMPORT_NAME) { - _Py_IDENTIFIER(__import__); PyObject *name = GETITEM(names, oparg); - PyObject *func = _PyDict_GetItemId(f->f_builtins, &PyId___import__); - PyObject *from, *level, *args, *res; - if (func == NULL) { - PyErr_SetString(PyExc_ImportError, - "__import__ not found"); - goto error; - } - Py_INCREF(func); - from = POP(); - level = TOP(); - args = PyTuple_Pack(5, - name, - f->f_globals, - f->f_locals == NULL ? - Py_None : f->f_locals, - from, - level); - Py_DECREF(level); - Py_DECREF(from); - if (args == NULL) { - Py_DECREF(func); - STACKADJ(-1); - goto error; - } + PyObject *fromlist = POP(); + PyObject *level = TOP(); + PyObject *res; READ_TIMESTAMP(intr0); - res = PyEval_CallObject(func, args); + res = import_name(f, name, fromlist, level); + Py_DECREF(level); + Py_DECREF(fromlist); READ_TIMESTAMP(intr1); - Py_DECREF(args); - Py_DECREF(func); SET_TOP(res); if (res == NULL) goto error; @@ -5158,6 +5137,50 @@ cmp_outcome(int op, PyObject *v, PyObject *w) return v; } +static PyObject * +import_name(PyFrameObject *f, PyObject *name, PyObject *fromlist, PyObject *level) +{ + _Py_IDENTIFIER(__import__); + PyObject *import_func, *args, *res; + + import_func = _PyDict_GetItemId(f->f_builtins, &PyId___import__); + if (import_func == NULL) { + PyErr_SetString(PyExc_ImportError, "__import__ not found"); + return NULL; + } + + /* Fast path for not overloaded __import__. */ + if (import_func == PyThreadState_GET()->interp->import_func) { + int ilevel = _PyLong_AsInt(level); + if (ilevel == -1 && PyErr_Occurred()) { + return NULL; + } + res = PyImport_ImportModuleLevelObject( + name, + f->f_globals, + f->f_locals == NULL ? Py_None : f->f_locals, + fromlist, + ilevel); + return res; + } + + Py_INCREF(import_func); + args = PyTuple_Pack(5, + name, + f->f_globals, + f->f_locals == NULL ? Py_None : f->f_locals, + fromlist, + level); + if (args == NULL) { + Py_DECREF(import_func); + return NULL; + } + res = PyEval_CallObject(import_func, args); + Py_DECREF(args); + Py_DECREF(import_func); + return res; +} + static PyObject * import_from(PyObject *v, PyObject *name) { diff --git a/Python/import.c b/Python/import.c index ebad07b2cf..f3aa9d4397 100644 --- a/Python/import.c +++ b/Python/import.c @@ -1336,61 +1336,170 @@ done: } -PyObject * -PyImport_ImportModuleLevelObject(PyObject *name, PyObject *given_globals, - PyObject *locals, PyObject *given_fromlist, - int level) +static PyObject * +resolve_name(PyObject *name, PyObject *globals, int level) { - _Py_IDENTIFIER(__import__); _Py_IDENTIFIER(__spec__); - _Py_IDENTIFIER(_initializing); _Py_IDENTIFIER(__package__); _Py_IDENTIFIER(__path__); _Py_IDENTIFIER(__name__); - _Py_IDENTIFIER(_find_and_load); - _Py_IDENTIFIER(_handle_fromlist); - _Py_IDENTIFIER(_lock_unlock_module); - PyObject *abs_name = NULL; - PyObject *builtins_import = NULL; - PyObject *final_mod = NULL; - PyObject *mod = NULL; + _Py_IDENTIFIER(parent); + PyObject *abs_name; PyObject *package = NULL; - PyObject *spec = NULL; - PyObject *globals = NULL; - PyObject *fromlist = NULL; + PyObject *spec; PyInterpreterState *interp = PyThreadState_GET()->interp; - int has_from; + Py_ssize_t last_dot; + PyObject *base; + int level_up; + + if (globals == NULL) { + PyErr_SetString(PyExc_KeyError, "'__name__' not in globals"); + goto error; + } + if (!PyDict_Check(globals)) { + PyErr_SetString(PyExc_TypeError, "globals must be a dict"); + goto error; + } + package = _PyDict_GetItemId(globals, &PyId___package__); + if (package == Py_None) { + package = NULL; + } + spec = _PyDict_GetItemId(globals, &PyId___spec__); - /* Make sure to use default values so as to not have - PyObject_CallMethodObjArgs() truncate the parameter list because of a - NULL argument. */ - if (given_globals == NULL) { - globals = PyDict_New(); - if (globals == NULL) { + if (package != NULL) { + Py_INCREF(package); + if (!PyUnicode_Check(package)) { + PyErr_SetString(PyExc_TypeError, "package must be a string"); + goto error; + } + else if (spec != NULL && spec != Py_None) { + int equal; + PyObject *parent = _PyObject_GetAttrId(spec, &PyId_parent); + if (parent == NULL) { + goto error; + } + + equal = PyObject_RichCompareBool(package, parent, Py_EQ); + Py_DECREF(parent); + if (equal < 0) { + goto error; + } + else if (equal == 0) { + if (PyErr_WarnEx(PyExc_ImportWarning, + "__package__ != __spec__.parent", 1) < 0) { + goto error; + } + } + } + } + else if (spec != NULL && spec != Py_None) { + package = _PyObject_GetAttrId(spec, &PyId_parent); + if (package == NULL) { + goto error; + } + else if (!PyUnicode_Check(package)) { + PyErr_SetString(PyExc_TypeError, + "__spec__.parent must be a string"); goto error; } } else { - /* Only have to care what given_globals is if it will be used - for something. */ - if (level > 0 && !PyDict_Check(given_globals)) { - PyErr_SetString(PyExc_TypeError, "globals must be a dict"); + if (PyErr_WarnEx(PyExc_ImportWarning, + "can't resolve package from __spec__ or __package__, " + "falling back on __name__ and __path__", 1) < 0) { goto error; } - globals = given_globals; - Py_INCREF(globals); + + package = _PyDict_GetItemId(globals, &PyId___name__); + if (package == NULL) { + PyErr_SetString(PyExc_KeyError, "'__name__' not in globals"); + goto error; + } + + Py_INCREF(package); + if (!PyUnicode_Check(package)) { + PyErr_SetString(PyExc_TypeError, "__name__ must be a string"); + goto error; + } + + if (_PyDict_GetItemId(globals, &PyId___path__) == NULL) { + Py_ssize_t dot; + + if (PyUnicode_READY(package) < 0) { + goto error; + } + + dot = PyUnicode_FindChar(package, '.', + 0, PyUnicode_GET_LENGTH(package), -1); + if (dot == -2) { + goto error; + } + + if (dot >= 0) { + PyObject *substr = PyUnicode_Substring(package, 0, dot); + if (substr == NULL) { + goto error; + } + Py_SETREF(package, substr); + } + } } - if (given_fromlist == NULL) { - fromlist = PyList_New(0); - if (fromlist == NULL) { + last_dot = PyUnicode_GET_LENGTH(package); + if (last_dot == 0) { + PyErr_SetString(PyExc_ImportError, + "attempted relative import with no known parent package"); + goto error; + } + else if (PyDict_GetItem(interp->modules, package) == NULL) { + PyErr_Format(PyExc_SystemError, + "Parent module %R not loaded, cannot perform relative " + "import", package); + goto error; + } + + for (level_up = 1; level_up < level; level_up += 1) { + last_dot = PyUnicode_FindChar(package, '.', 0, last_dot, -1); + if (last_dot == -2) { + goto error; + } + else if (last_dot == -1) { + PyErr_SetString(PyExc_ValueError, + "attempted relative import beyond top-level " + "package"); goto error; } } - else { - fromlist = given_fromlist; - Py_INCREF(fromlist); + + base = PyUnicode_Substring(package, 0, last_dot); + Py_DECREF(package); + if (base == NULL || PyUnicode_GET_LENGTH(name) == 0) { + return base; } + + abs_name = PyUnicode_FromFormat("%U.%U", base, name); + Py_DECREF(base); + return abs_name; + + error: + Py_XDECREF(package); + return NULL; +} + +PyObject * +PyImport_ImportModuleLevelObject(PyObject *name, PyObject *globals, + PyObject *locals, PyObject *fromlist, + int level) +{ + _Py_IDENTIFIER(_find_and_load); + _Py_IDENTIFIER(_handle_fromlist); + PyObject *abs_name = NULL; + PyObject *final_mod = NULL; + PyObject *mod = NULL; + PyObject *package = NULL; + PyInterpreterState *interp = PyThreadState_GET()->interp; + int has_from; + if (name == NULL) { PyErr_SetString(PyExc_ValueError, "Empty module name"); goto error; @@ -1403,170 +1512,28 @@ PyImport_ImportModuleLevelObject(PyObject *name, PyObject *given_globals, PyErr_SetString(PyExc_TypeError, "module name must be a string"); goto error; } - else if (PyUnicode_READY(name) < 0) { + if (PyUnicode_READY(name) < 0) { goto error; } if (level < 0) { PyErr_SetString(PyExc_ValueError, "level must be >= 0"); goto error; } - else if (level > 0) { - package = _PyDict_GetItemId(globals, &PyId___package__); - spec = _PyDict_GetItemId(globals, &PyId___spec__); - - if (package != NULL && package != Py_None) { - Py_INCREF(package); - if (!PyUnicode_Check(package)) { - PyErr_SetString(PyExc_TypeError, "package must be a string"); - goto error; - } - else if (spec != NULL && spec != Py_None) { - int equal; - PyObject *parent = PyObject_GetAttrString(spec, "parent"); - if (parent == NULL) { - goto error; - } - - equal = PyObject_RichCompareBool(package, parent, Py_EQ); - Py_DECREF(parent); - if (equal < 0) { - goto error; - } - else if (equal == 0) { - if (PyErr_WarnEx(PyExc_ImportWarning, - "__package__ != __spec__.parent", 1) < 0) { - goto error; - } - } - } - } - else if (spec != NULL && spec != Py_None) { - package = PyObject_GetAttrString(spec, "parent"); - if (package == NULL) { - goto error; - } - else if (!PyUnicode_Check(package)) { - PyErr_SetString(PyExc_TypeError, - "__spec__.parent must be a string"); - goto error; - } - } - else { - package = NULL; - if (PyErr_WarnEx(PyExc_ImportWarning, - "can't resolve package from __spec__ or __package__, " - "falling back on __name__ and __path__", 1) < 0) { - goto error; - } - - package = _PyDict_GetItemId(globals, &PyId___name__); - if (package == NULL) { - PyErr_SetString(PyExc_KeyError, "'__name__' not in globals"); - goto error; - } - - Py_INCREF(package); - if (!PyUnicode_Check(package)) { - PyErr_SetString(PyExc_TypeError, "__name__ must be a string"); - goto error; - } - if (_PyDict_GetItemId(globals, &PyId___path__) == NULL) { - Py_ssize_t dot; - - if (PyUnicode_READY(package) < 0) { - goto error; - } - - dot = PyUnicode_FindChar(package, '.', - 0, PyUnicode_GET_LENGTH(package), -1); - if (dot == -2) { - goto error; - } - - if (dot >= 0) { - PyObject *substr = PyUnicode_Substring(package, 0, dot); - if (substr == NULL) { - goto error; - } - Py_SETREF(package, substr); - } - } - } - - if (PyUnicode_CompareWithASCIIString(package, "") == 0) { - PyErr_SetString(PyExc_ImportError, - "attempted relative import with no known parent package"); - goto error; - } - else if (PyDict_GetItem(interp->modules, package) == NULL) { - PyErr_Format(PyExc_SystemError, - "Parent module %R not loaded, cannot perform relative " - "import", package); + if (level > 0) { + abs_name = resolve_name(name, globals, level); + if (abs_name == NULL) goto error; - } } else { /* level == 0 */ if (PyUnicode_GET_LENGTH(name) == 0) { PyErr_SetString(PyExc_ValueError, "Empty module name"); goto error; } - package = Py_None; - Py_INCREF(package); - } - - if (level > 0) { - Py_ssize_t last_dot = PyUnicode_GET_LENGTH(package); - PyObject *base = NULL; - int level_up = 1; - - for (level_up = 1; level_up < level; level_up += 1) { - last_dot = PyUnicode_FindChar(package, '.', 0, last_dot, -1); - if (last_dot == -2) { - goto error; - } - else if (last_dot == -1) { - PyErr_SetString(PyExc_ValueError, - "attempted relative import beyond top-level " - "package"); - goto error; - } - } - - base = PyUnicode_Substring(package, 0, last_dot); - if (base == NULL) - goto error; - - if (PyUnicode_GET_LENGTH(name) > 0) { - abs_name = PyUnicode_FromFormat("%U.%U", base, name); - Py_DECREF(base); - if (abs_name == NULL) { - goto error; - } - } - else { - abs_name = base; - } - } - else { abs_name = name; Py_INCREF(abs_name); } -#ifdef WITH_THREAD - _PyImport_AcquireLock(); -#endif - /* From this point forward, goto error_with_unlock! */ - /* XXX interp->builtins_copy is NULL in subinterpreter! */ - builtins_import = _PyDict_GetItemId(interp->builtins_copy ? - interp->builtins_copy : - interp->builtins, &PyId___import__); - if (builtins_import == NULL) { - PyErr_SetString(PyExc_ImportError, "__import__ not found"); - goto error_with_unlock; - } - Py_INCREF(builtins_import); - mod = PyDict_GetItem(interp->modules, abs_name); if (mod == Py_None) { PyObject *msg = PyUnicode_FromFormat("import of %R halted; " @@ -1576,9 +1543,12 @@ PyImport_ImportModuleLevelObject(PyObject *name, PyObject *given_globals, Py_DECREF(msg); } mod = NULL; - goto error_with_unlock; + goto error; } else if (mod != NULL) { + _Py_IDENTIFIER(__spec__); + _Py_IDENTIFIER(_initializing); + _Py_IDENTIFIER(_lock_unlock_module); PyObject *value = NULL; PyObject *spec; int initializing = 0; @@ -1601,39 +1571,39 @@ PyImport_ImportModuleLevelObject(PyObject *name, PyObject *given_globals, Py_DECREF(value); if (initializing == -1) PyErr_Clear(); - } - if (initializing > 0) { - /* _bootstrap._lock_unlock_module() releases the import lock */ - value = _PyObject_CallMethodIdObjArgs(interp->importlib, - &PyId__lock_unlock_module, abs_name, - NULL); - if (value == NULL) - goto error; - Py_DECREF(value); - } - else { + if (initializing > 0) { #ifdef WITH_THREAD - if (_PyImport_ReleaseLock() < 0) { - PyErr_SetString(PyExc_RuntimeError, "not holding the import lock"); - goto error; - } + _PyImport_AcquireLock(); #endif + /* _bootstrap._lock_unlock_module() releases the import lock */ + value = _PyObject_CallMethodIdObjArgs(interp->importlib, + &PyId__lock_unlock_module, abs_name, + NULL); + if (value == NULL) + goto error; + Py_DECREF(value); + } } } else { +#ifdef WITH_THREAD + _PyImport_AcquireLock(); +#endif /* _bootstrap._find_and_load() releases the import lock */ mod = _PyObject_CallMethodIdObjArgs(interp->importlib, &PyId__find_and_load, abs_name, - builtins_import, NULL); + interp->import_func, NULL); if (mod == NULL) { goto error; } } - /* From now on we don't hold the import lock anymore. */ - has_from = PyObject_IsTrue(fromlist); - if (has_from < 0) - goto error; + has_from = 0; + if (fromlist != NULL && fromlist != Py_None) { + has_from = PyObject_IsTrue(fromlist); + if (has_from < 0) + goto error; + } if (!has_from) { Py_ssize_t len = PyUnicode_GET_LENGTH(name); if (level == 0 || len > 0) { @@ -1657,7 +1627,7 @@ PyImport_ImportModuleLevelObject(PyObject *name, PyObject *given_globals, goto error; } - final_mod = PyObject_CallFunctionObjArgs(builtins_import, front, NULL); + final_mod = PyImport_ImportModuleLevelObject(front, NULL, NULL, NULL, 0); Py_DECREF(front); } else { @@ -1670,15 +1640,14 @@ PyImport_ImportModuleLevelObject(PyObject *name, PyObject *given_globals, } final_mod = PyDict_GetItem(interp->modules, to_return); + Py_DECREF(to_return); if (final_mod == NULL) { PyErr_Format(PyExc_KeyError, "%R not in sys.modules as expected", to_return); + goto error; } - else { - Py_INCREF(final_mod); - } - Py_DECREF(to_return); + Py_INCREF(final_mod); } } else { @@ -1689,24 +1658,14 @@ PyImport_ImportModuleLevelObject(PyObject *name, PyObject *given_globals, else { final_mod = _PyObject_CallMethodIdObjArgs(interp->importlib, &PyId__handle_fromlist, mod, - fromlist, builtins_import, + fromlist, interp->import_func, NULL); } - goto error; - error_with_unlock: -#ifdef WITH_THREAD - if (_PyImport_ReleaseLock() < 0) { - PyErr_SetString(PyExc_RuntimeError, "not holding the import lock"); - } -#endif error: Py_XDECREF(abs_name); - Py_XDECREF(builtins_import); Py_XDECREF(mod); Py_XDECREF(package); - Py_XDECREF(globals); - Py_XDECREF(fromlist); if (final_mod == NULL) remove_importlib_frames(); return final_mod; diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index 2d2dcba016..dc855513ca 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -254,6 +254,11 @@ import_init(PyInterpreterState *interp, PyObject *sysmod) interp->importlib = importlib; Py_INCREF(interp->importlib); + interp->import_func = PyDict_GetItemString(interp->builtins, "__import__"); + if (interp->import_func == NULL) + Py_FatalError("Py_Initialize: __import__ not found"); + Py_INCREF(interp->import_func); + /* Import the _imp module */ impmod = PyInit_imp(); if (impmod == NULL) { diff --git a/Python/pystate.c b/Python/pystate.c index ba4dd4c2b5..b1aececd6f 100644 --- a/Python/pystate.c +++ b/Python/pystate.c @@ -90,6 +90,7 @@ PyInterpreterState_New(void) interp->codecs_initialized = 0; interp->fscodec_initialized = 0; interp->importlib = NULL; + interp->import_func = NULL; #ifdef HAVE_DLOPEN #if HAVE_DECL_RTLD_NOW interp->dlopenflags = RTLD_NOW; @@ -128,6 +129,7 @@ PyInterpreterState_Clear(PyInterpreterState *interp) Py_CLEAR(interp->builtins); Py_CLEAR(interp->builtins_copy); Py_CLEAR(interp->importlib); + Py_CLEAR(interp->import_func); } -- cgit v1.2.1 From b925590e46fa8bc6f9e31bc837f31e9bfc89150a Mon Sep 17 00:00:00 2001 From: Raymond Hettinger Date: Sun, 7 Aug 2016 20:20:33 -0700 Subject: Re-linewrap comments --- Python/peephole.c | 21 ++++++++------------- 1 file changed, 8 insertions(+), 13 deletions(-) (limited to 'Python') diff --git a/Python/peephole.c b/Python/peephole.c index 62625f7f45..b2c0279b73 100644 --- a/Python/peephole.c +++ b/Python/peephole.c @@ -638,22 +638,17 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, j = codestr[tgt]; if (CONDITIONAL_JUMP(j)) { - /* NOTE: all possible jumps here are - absolute! */ + /* NOTE: all possible jumps here are absolute. */ if (JUMPS_ON_TRUE(j) == JUMPS_ON_TRUE(opcode)) { - /* The second jump will be - taken iff the first is. - The current opcode inherits - its target's stack effect */ + /* The second jump will be taken iff the first is. + The current opcode inherits its target's + stack effect */ h = set_arg(codestr, i, get_arg(codestr, tgt)); } else { - /* The second jump is not taken - if the first is (so jump past - it), and all conditional - jumps pop their argument when - they're not taken (so change - the first jump to pop its - argument when it's taken). */ + /* The second jump is not taken if the first is (so + jump past it), and all conditional jumps pop their + argument when they're not taken (so change the + first jump to pop its argument when it's taken). */ h = set_arg(codestr, i, tgt + 2); j = opcode == JUMP_IF_TRUE_OR_POP ? POP_JUMP_IF_TRUE : POP_JUMP_IF_FALSE; -- cgit v1.2.1 From 96d299b2b87dd2311bcc94cbab7b1cfa2c30ccba Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Sun, 14 Aug 2016 10:52:18 +0300 Subject: Issue #27574: Decreased an overhead of parsing keyword arguments in functions implemented with using Argument Clinic. --- Python/clinic/bltinmodule.c.h | 7 +- Python/getargs.c | 449 ++++++++++++++++++++++++++++++++++++++++-- Python/pylifecycle.c | 1 + 3 files changed, 442 insertions(+), 15 deletions(-) (limited to 'Python') diff --git a/Python/clinic/bltinmodule.c.h b/Python/clinic/bltinmodule.c.h index 529274fd5c..4c44340ef6 100644 --- a/Python/clinic/bltinmodule.c.h +++ b/Python/clinic/bltinmodule.c.h @@ -159,7 +159,8 @@ static PyObject * builtin_compile(PyObject *module, PyObject *args, PyObject *kwargs) { PyObject *return_value = NULL; - static char *_keywords[] = {"source", "filename", "mode", "flags", "dont_inherit", "optimize", NULL}; + static const char * const _keywords[] = {"source", "filename", "mode", "flags", "dont_inherit", "optimize", NULL}; + static _PyArg_Parser _parser = {"OO&s|iii:compile", _keywords, 0}; PyObject *source; PyObject *filename; const char *mode; @@ -167,7 +168,7 @@ builtin_compile(PyObject *module, PyObject *args, PyObject *kwargs) int dont_inherit = 0; int optimize = -1; - if (!PyArg_ParseTupleAndKeywords(args, kwargs, "OO&s|iii:compile", _keywords, + if (!_PyArg_ParseTupleAndKeywordsFast(args, kwargs, &_parser, &source, PyUnicode_FSDecoder, &filename, &mode, &flags, &dont_inherit, &optimize)) { goto exit; } @@ -673,4 +674,4 @@ builtin_issubclass(PyObject *module, PyObject *args) exit: return return_value; } -/*[clinic end generated code: output=6ab37e6c6d2e7b19 input=a9049054013a1b77]*/ +/*[clinic end generated code: output=790cb3d26531dfda input=a9049054013a1b77]*/ diff --git a/Python/getargs.c b/Python/getargs.c index 4418ebb664..cf0ad26920 100644 --- a/Python/getargs.c +++ b/Python/getargs.c @@ -18,6 +18,11 @@ int PyArg_ParseTupleAndKeywords(PyObject *, PyObject *, int PyArg_VaParseTupleAndKeywords(PyObject *, PyObject *, const char *, char **, va_list); +int _PyArg_ParseTupleAndKeywordsFast(PyObject *, PyObject *, + struct _PyArg_Parser *, ...); +int _PyArg_VaParseTupleAndKeywordsFast(PyObject *, PyObject *, + struct _PyArg_Parser *, va_list); + #ifdef HAVE_DECLSPEC_DLL /* Export functions */ PyAPI_FUNC(int) _PyArg_Parse_SizeT(PyObject *, const char *, ...); @@ -28,6 +33,11 @@ PyAPI_FUNC(PyObject *) _Py_BuildValue_SizeT(const char *, ...); PyAPI_FUNC(int) _PyArg_VaParse_SizeT(PyObject *, const char *, va_list); PyAPI_FUNC(int) _PyArg_VaParseTupleAndKeywords_SizeT(PyObject *, PyObject *, const char *, char **, va_list); + +PyAPI_FUNC(int) _PyArg_ParseTupleAndKeywordsFast_SizeT(PyObject *, PyObject *, + struct _PyArg_Parser *, ...); +PyAPI_FUNC(int) _PyArg_VaParseTupleAndKeywordsFast_SizeT(PyObject *, PyObject *, + struct _PyArg_Parser *, va_list); #endif #define FLAG_COMPAT 1 @@ -67,6 +77,8 @@ static int getbuffer(PyObject *, Py_buffer *, const char**); static int vgetargskeywords(PyObject *, PyObject *, const char *, char **, va_list *, int); +static int vgetargskeywordsfast(PyObject *, PyObject *, + struct _PyArg_Parser *, va_list *, int); static const char *skipitem(const char **, va_list *, int); int @@ -1417,6 +1429,91 @@ _PyArg_VaParseTupleAndKeywords_SizeT(PyObject *args, return retval; } +int +_PyArg_ParseTupleAndKeywordsFast(PyObject *args, PyObject *keywords, + struct _PyArg_Parser *parser, ...) +{ + int retval; + va_list va; + + if ((args == NULL || !PyTuple_Check(args)) || + (keywords != NULL && !PyDict_Check(keywords)) || + parser == NULL) + { + PyErr_BadInternalCall(); + return 0; + } + + va_start(va, parser); + retval = vgetargskeywordsfast(args, keywords, parser, &va, 0); + va_end(va); + return retval; +} + +int +_PyArg_ParseTupleAndKeywordsFast_SizeT(PyObject *args, PyObject *keywords, + struct _PyArg_Parser *parser, ...) +{ + int retval; + va_list va; + + if ((args == NULL || !PyTuple_Check(args)) || + (keywords != NULL && !PyDict_Check(keywords)) || + parser == NULL) + { + PyErr_BadInternalCall(); + return 0; + } + + va_start(va, parser); + retval = vgetargskeywordsfast(args, keywords, parser, &va, FLAG_SIZE_T); + va_end(va); + return retval; +} + + +int +_PyArg_VaParseTupleAndKeywordsFast(PyObject *args, PyObject *keywords, + struct _PyArg_Parser *parser, va_list va) +{ + int retval; + va_list lva; + + if ((args == NULL || !PyTuple_Check(args)) || + (keywords != NULL && !PyDict_Check(keywords)) || + parser == NULL) + { + PyErr_BadInternalCall(); + return 0; + } + + Py_VA_COPY(lva, va); + + retval = vgetargskeywordsfast(args, keywords, parser, &lva, 0); + return retval; +} + +int +_PyArg_VaParseTupleAndKeywordsFast_SizeT(PyObject *args, PyObject *keywords, + struct _PyArg_Parser *parser, va_list va) +{ + int retval; + va_list lva; + + if ((args == NULL || !PyTuple_Check(args)) || + (keywords != NULL && !PyDict_Check(keywords)) || + parser == NULL) + { + PyErr_BadInternalCall(); + return 0; + } + + Py_VA_COPY(lva, va); + + retval = vgetargskeywordsfast(args, keywords, parser, &lva, FLAG_SIZE_T); + return retval; +} + int PyArg_ValidateKeywordArguments(PyObject *kwargs) { @@ -1541,6 +1638,9 @@ vgetargskeywords(PyObject *args, PyObject *keywords, const char *format, return cleanreturn(0, &freelist); } if (skip) { + /* Now we know the minimal and the maximal numbers of + * positional arguments and can raise an exception with + * informative message (see below). */ break; } if (max < nargs) { @@ -1595,6 +1695,10 @@ vgetargskeywords(PyObject *args, PyObject *keywords, const char *format, assert (min == INT_MAX); assert (max == INT_MAX); skip = 1; + /* At that moment we still don't know the minimal and + * the maximal numbers of positional arguments. Raising + * an exception is deferred until we encounter | and $ + * or the end of the format. */ } else { PyErr_Format(PyExc_TypeError, "Required argument " @@ -1669,6 +1773,300 @@ vgetargskeywords(PyObject *args, PyObject *keywords, const char *format, } +/* List of static parsers. */ +static struct _PyArg_Parser *static_arg_parsers = NULL; + +static int +parser_init(struct _PyArg_Parser *parser) +{ + const char * const *keywords; + const char *format, *msg; + int i, len, min, max, nkw; + PyObject *kwtuple; + + assert(parser->format != NULL); + assert(parser->keywords != NULL); + if (parser->kwtuple != NULL) { + return 1; + } + + /* grab the function name or custom error msg first (mutually exclusive) */ + parser->fname = strchr(parser->format, ':'); + if (parser->fname) { + parser->fname++; + parser->custom_msg = NULL; + } + else { + parser->custom_msg = strchr(parser->format,';'); + if (parser->custom_msg) + parser->custom_msg++; + } + + keywords = parser->keywords; + /* scan keywords and count the number of positional-only parameters */ + for (i = 0; keywords[i] && !*keywords[i]; i++) { + } + parser->pos = i; + /* scan keywords and get greatest possible nbr of args */ + for (; keywords[i]; i++) { + if (!*keywords[i]) { + PyErr_SetString(PyExc_SystemError, + "Empty keyword parameter name"); + return 0; + } + } + len = i; + + min = max = INT_MAX; + format = parser->format; + for (i = 0; i < len; i++) { + if (*format == '|') { + if (min != INT_MAX) { + PyErr_SetString(PyExc_SystemError, + "Invalid format string (| specified twice)"); + return 0; + } + if (max != INT_MAX) { + PyErr_SetString(PyExc_SystemError, + "Invalid format string ($ before |)"); + return 0; + } + min = i; + format++; + } + if (*format == '$') { + if (max != INT_MAX) { + PyErr_SetString(PyExc_SystemError, + "Invalid format string ($ specified twice)"); + return 0; + } + if (i < parser->pos) { + PyErr_SetString(PyExc_SystemError, + "Empty parameter name after $"); + return 0; + } + max = i; + format++; + } + if (IS_END_OF_FORMAT(*format)) { + PyErr_Format(PyExc_SystemError, + "More keyword list entries (%d) than " + "format specifiers (%d)", len, i); + return 0; + } + + msg = skipitem(&format, NULL, 0); + if (msg) { + PyErr_Format(PyExc_SystemError, "%s: '%s'", msg, + format); + return 0; + } + } + parser->min = Py_MIN(min, len); + parser->max = Py_MIN(max, len); + + if (!IS_END_OF_FORMAT(*format) && (*format != '|') && (*format != '$')) { + PyErr_Format(PyExc_SystemError, + "more argument specifiers than keyword list entries " + "(remaining format:'%s')", format); + return 0; + } + + nkw = len - parser->pos; + kwtuple = PyTuple_New(nkw); + if (kwtuple == NULL) { + return 0; + } + keywords = parser->keywords + parser->pos; + for (i = 0; i < nkw; i++) { + PyObject *str = PyUnicode_FromString(keywords[i]); + if (str == NULL) { + Py_DECREF(kwtuple); + return 0; + } + PyUnicode_InternInPlace(&str); + PyTuple_SET_ITEM(kwtuple, i, str); + } + parser->kwtuple = kwtuple; + + assert(parser->next == NULL); + parser->next = static_arg_parsers; + static_arg_parsers = parser; + return 1; +} + +static void +parser_clear(struct _PyArg_Parser *parser) +{ + Py_CLEAR(parser->kwtuple); +} + +static int +vgetargskeywordsfast(PyObject *args, PyObject *keywords, + struct _PyArg_Parser *parser, + va_list *p_va, int flags) +{ + PyObject *kwtuple; + char msgbuf[512]; + int levels[32]; + const char *format; + const char *msg; + PyObject *keyword; + int i, pos, len; + Py_ssize_t nargs, nkeywords; + PyObject *current_arg; + freelistentry_t static_entries[STATIC_FREELIST_ENTRIES]; + freelist_t freelist; + + freelist.entries = static_entries; + freelist.first_available = 0; + freelist.entries_malloced = 0; + + assert(args != NULL && PyTuple_Check(args)); + assert(keywords == NULL || PyDict_Check(keywords)); + assert(parser != NULL); + assert(p_va != NULL); + + if (!parser_init(parser)) { + return 0; + } + + kwtuple = parser->kwtuple; + pos = parser->pos; + len = pos + PyTuple_GET_SIZE(kwtuple); + + if (len > STATIC_FREELIST_ENTRIES) { + freelist.entries = PyMem_NEW(freelistentry_t, len); + if (freelist.entries == NULL) { + PyErr_NoMemory(); + return 0; + } + freelist.entries_malloced = 1; + } + + nargs = PyTuple_GET_SIZE(args); + nkeywords = (keywords == NULL) ? 0 : PyDict_Size(keywords); + if (nargs + nkeywords > len) { + PyErr_Format(PyExc_TypeError, + "%s%s takes at most %d argument%s (%zd given)", + (parser->fname == NULL) ? "function" : parser->fname, + (parser->fname == NULL) ? "" : "()", + len, + (len == 1) ? "" : "s", + nargs + nkeywords); + return cleanreturn(0, &freelist); + } + if (parser->max < nargs) { + PyErr_Format(PyExc_TypeError, + "Function takes %s %d positional arguments (%d given)", + (parser->min != INT_MAX) ? "at most" : "exactly", + parser->max, nargs); + return cleanreturn(0, &freelist); + } + + format = parser->format; + /* convert tuple args and keyword args in same loop, using kwtuple to drive process */ + for (i = 0; i < len; i++) { + keyword = (i >= pos) ? PyTuple_GET_ITEM(kwtuple, i - pos) : NULL; + if (*format == '|') { + format++; + } + if (*format == '$') { + format++; + } + assert(!IS_END_OF_FORMAT(*format)); + + current_arg = NULL; + if (nkeywords && i >= pos) { + current_arg = PyDict_GetItem(keywords, keyword); + if (!current_arg && PyErr_Occurred()) { + return cleanreturn(0, &freelist); + } + } + if (current_arg) { + --nkeywords; + if (i < nargs) { + /* arg present in tuple and in dict */ + PyErr_Format(PyExc_TypeError, + "Argument given by name ('%U') " + "and position (%d)", + keyword, i+1); + return cleanreturn(0, &freelist); + } + } + else if (i < nargs) + current_arg = PyTuple_GET_ITEM(args, i); + + if (current_arg) { + msg = convertitem(current_arg, &format, p_va, flags, + levels, msgbuf, sizeof(msgbuf), &freelist); + if (msg) { + seterror(i+1, msg, levels, parser->fname, parser->custom_msg); + return cleanreturn(0, &freelist); + } + continue; + } + + if (i < parser->min) { + /* Less arguments than required */ + if (i < pos) { + PyErr_Format(PyExc_TypeError, + "Function takes %s %d positional arguments" + " (%d given)", + (Py_MIN(pos, parser->min) < parser->max) ? "at least" : "exactly", + Py_MIN(pos, parser->min), nargs); + } + else { + PyErr_Format(PyExc_TypeError, "Required argument " + "'%U' (pos %d) not found", + keyword, i+1); + } + return cleanreturn(0, &freelist); + } + /* current code reports success when all required args + * fulfilled and no keyword args left, with no further + * validation. XXX Maybe skip this in debug build ? + */ + if (!nkeywords) { + return cleanreturn(1, &freelist); + } + + /* We are into optional args, skip thru to any remaining + * keyword args */ + msg = skipitem(&format, p_va, flags); + assert(msg == NULL); + } + + assert(IS_END_OF_FORMAT(*format) || (*format == '|') || (*format == '$')); + + /* make sure there are no extraneous keyword arguments */ + if (nkeywords > 0) { + PyObject *key, *value; + Py_ssize_t pos = 0; + while (PyDict_Next(keywords, &pos, &key, &value)) { + int match; + if (!PyUnicode_Check(key)) { + PyErr_SetString(PyExc_TypeError, + "keywords must be strings"); + return cleanreturn(0, &freelist); + } + match = PySequence_Contains(kwtuple, key); + if (match <= 0) { + if (!match) { + PyErr_Format(PyExc_TypeError, + "'%U' is an invalid keyword " + "argument for this function", + key); + } + return cleanreturn(0, &freelist); + } + } + } + + return cleanreturn(1, &freelist); +} + + static const char * skipitem(const char **p_format, va_list *p_va, int flags) { @@ -1705,7 +2103,9 @@ skipitem(const char **p_format, va_list *p_va, int flags) case 'Y': /* string object */ case 'U': /* unicode string object */ { - (void) va_arg(*p_va, void *); + if (p_va != NULL) { + (void) va_arg(*p_va, void *); + } break; } @@ -1713,7 +2113,9 @@ skipitem(const char **p_format, va_list *p_va, int flags) case 'e': /* string with encoding */ { - (void) va_arg(*p_va, const char *); + if (p_va != NULL) { + (void) va_arg(*p_va, const char *); + } if (!(*format == 's' || *format == 't')) /* after 'e', only 's' and 't' is allowed */ goto err; @@ -1728,12 +2130,16 @@ skipitem(const char **p_format, va_list *p_va, int flags) case 'Z': /* unicode string or None */ case 'w': /* buffer, read-write */ { - (void) va_arg(*p_va, char **); + if (p_va != NULL) { + (void) va_arg(*p_va, char **); + } if (*format == '#') { - if (flags & FLAG_SIZE_T) - (void) va_arg(*p_va, Py_ssize_t *); - else - (void) va_arg(*p_va, int *); + if (p_va != NULL) { + if (flags & FLAG_SIZE_T) + (void) va_arg(*p_va, Py_ssize_t *); + else + (void) va_arg(*p_va, int *); + } format++; } else if ((c == 's' || c == 'z' || c == 'y') && *format == '*') { format++; @@ -1745,17 +2151,23 @@ skipitem(const char **p_format, va_list *p_va, int flags) { if (*format == '!') { format++; - (void) va_arg(*p_va, PyTypeObject*); - (void) va_arg(*p_va, PyObject **); + if (p_va != NULL) { + (void) va_arg(*p_va, PyTypeObject*); + (void) va_arg(*p_va, PyObject **); + } } else if (*format == '&') { typedef int (*converter)(PyObject *, void *); - (void) va_arg(*p_va, converter); - (void) va_arg(*p_va, void *); + if (p_va != NULL) { + (void) va_arg(*p_va, converter); + (void) va_arg(*p_va, void *); + } format++; } else { - (void) va_arg(*p_va, PyObject **); + if (p_va != NULL) { + (void) va_arg(*p_va, PyObject **); + } } break; } @@ -1891,6 +2303,19 @@ _PyArg_NoPositional(const char *funcname, PyObject *args) return 0; } +void +_PyArg_Fini(void) +{ + struct _PyArg_Parser *tmp, *s = static_arg_parsers; + while (s) { + tmp = s->next; + s->next = NULL; + parser_clear(s); + s = tmp; + } + static_arg_parsers = NULL; +} + #ifdef __cplusplus }; #endif diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index dc855513ca..004feae7a0 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -674,6 +674,7 @@ Py_FinalizeEx(void) PySlice_Fini(); _PyGC_Fini(); _PyRandom_Fini(); + _PyArg_Fini(); /* Cleanup Unicode implementation */ _PyUnicode_Fini(); -- cgit v1.2.1 From 471ec83b9274103af494dac719ea8a7eb64ea351 Mon Sep 17 00:00:00 2001 From: Nick Coghlan Date: Mon, 15 Aug 2016 13:11:34 +1000 Subject: Issue #26823: Abbreviate recursive tracebacks Large sections of repeated lines in tracebacks are now abbreviated as "[Previous line repeated {count} more times]" by both the traceback module and the builtin traceback rendering. Patch by Emanuel Barry. --- Python/traceback.c | 36 ++++++++++++++++++++++++++++++++---- 1 file changed, 32 insertions(+), 4 deletions(-) (limited to 'Python') diff --git a/Python/traceback.c b/Python/traceback.c index 59552cae85..15cde444f4 100644 --- a/Python/traceback.c +++ b/Python/traceback.c @@ -412,6 +412,11 @@ tb_printinternal(PyTracebackObject *tb, PyObject *f, long limit) { int err = 0; long depth = 0; + PyObject *last_file = NULL; + int last_line = -1; + PyObject *last_name = NULL; + long cnt = 0; + PyObject *line; PyTracebackObject *tb1 = tb; while (tb1 != NULL) { depth++; @@ -419,16 +424,39 @@ tb_printinternal(PyTracebackObject *tb, PyObject *f, long limit) } while (tb != NULL && err == 0) { if (depth <= limit) { - err = tb_displayline(f, - tb->tb_frame->f_code->co_filename, - tb->tb_lineno, - tb->tb_frame->f_code->co_name); + if (last_file != NULL && + tb->tb_frame->f_code->co_filename == last_file && + last_line != -1 && tb->tb_lineno == last_line && + last_name != NULL && + tb->tb_frame->f_code->co_name == last_name) { + cnt++; + } else { + if (cnt > 3) { + line = PyUnicode_FromFormat( + " [Previous line repeated %d more times]\n", cnt-3); + err = PyFile_WriteObject(line, f, Py_PRINT_RAW); + } + last_file = tb->tb_frame->f_code->co_filename; + last_line = tb->tb_lineno; + last_name = tb->tb_frame->f_code->co_name; + cnt = 0; + } + if (cnt < 3) + err = tb_displayline(f, + tb->tb_frame->f_code->co_filename, + tb->tb_lineno, + tb->tb_frame->f_code->co_name); } depth--; tb = tb->tb_next; if (err == 0) err = PyErr_CheckSignals(); } + if (cnt > 3) { + line = PyUnicode_FromFormat( + " [Previous line repeated %d more times]\n", cnt-3); + err = PyFile_WriteObject(line, f, Py_PRINT_RAW); + } return err; } -- cgit v1.2.1 From 28538338b3b48b47b46658d5339c668a58b5b868 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Tue, 16 Aug 2016 15:23:58 +0200 Subject: Issue #27776: Cleanup random.c * Add pyurandom() helper function to factorize the code * don't call Py_FatalError() in helper functions, but only in _PyRandom_Init() if pyurandom() failed, to uniformize the code --- Python/random.c | 129 ++++++++++++++++++++++++++++++++------------------------ 1 file changed, 74 insertions(+), 55 deletions(-) (limited to 'Python') diff --git a/Python/random.c b/Python/random.c index 945269a2f6..7d37fe9575 100644 --- a/Python/random.c +++ b/Python/random.c @@ -39,10 +39,9 @@ win32_urandom_init(int raise) return 0; error: - if (raise) + if (raise) { PyErr_SetFromWindowsErr(0); - else - Py_FatalError("Failed to initialize Windows random API (CryptoGen)"); + } return -1; } @@ -55,8 +54,9 @@ win32_urandom(unsigned char *buffer, Py_ssize_t size, int raise) if (hCryptProv == 0) { - if (win32_urandom_init(raise) == -1) + if (win32_urandom_init(raise) == -1) { return -1; + } } while (size > 0) @@ -65,11 +65,9 @@ win32_urandom(unsigned char *buffer, Py_ssize_t size, int raise) if (!CryptGenRandom(hCryptProv, (DWORD)chunk, buffer)) { /* CryptGenRandom() failed */ - if (raise) + if (raise) { PyErr_SetFromWindowsErr(0); - else - Py_FatalError("Failed to initialized the randomized hash " - "secret using CryptoGen)"); + } return -1; } buffer += chunk; @@ -86,29 +84,28 @@ win32_urandom(unsigned char *buffer, Py_ssize_t size, int raise) /* Fill buffer with size pseudo-random bytes generated by getentropy(). Return 0 on success, or raise an exception and return -1 on error. - If fatal is nonzero, call Py_FatalError() instead of raising an exception - on error. */ + If raise is zero, don't raise an exception on error. */ static int -py_getentropy(unsigned char *buffer, Py_ssize_t size, int fatal) +py_getentropy(char *buffer, Py_ssize_t size, int raise) { while (size > 0) { Py_ssize_t len = Py_MIN(size, 256); int res; - if (!fatal) { + if (raise) { Py_BEGIN_ALLOW_THREADS res = getentropy(buffer, len); Py_END_ALLOW_THREADS - - if (res < 0) { - PyErr_SetFromErrno(PyExc_OSError); - return -1; - } } else { res = getentropy(buffer, len); - if (res < 0) - Py_FatalError("getentropy() failed"); + } + + if (res < 0) { + if (raise) { + PyErr_SetFromErrno(PyExc_OSError); + } + return -1; } buffer += len; @@ -195,18 +192,15 @@ py_getrandom(void *buffer, Py_ssize_t size, int raise) if (errno == EINTR) { if (PyErr_CheckSignals()) { - if (!raise) - Py_FatalError("getrandom() interrupted by a signal"); return -1; } /* retry getrandom() */ continue; } - if (raise) + if (raise) { PyErr_SetFromErrno(PyExc_OSError); - else - Py_FatalError("getrandom() failed"); + } return -1; } @@ -225,9 +219,9 @@ static struct { /* Read size bytes from /dev/urandom into buffer. - Call Py_FatalError() on error. */ -static void -dev_urandom_noraise(unsigned char *buffer, Py_ssize_t size) + Return 0 success, or return -1 on error. */ +static int +dev_urandom_noraise(char *buffer, Py_ssize_t size) { int fd; Py_ssize_t n; @@ -235,31 +229,35 @@ dev_urandom_noraise(unsigned char *buffer, Py_ssize_t size) assert (0 < size); #ifdef PY_GETRANDOM - if (py_getrandom(buffer, size, 0) == 1) - return; + if (py_getrandom(buffer, size, 0) == 1) { + return 0; + } /* getrandom() is not supported by the running kernel, fall back * on reading /dev/urandom */ #endif fd = _Py_open_noraise("/dev/urandom", O_RDONLY); - if (fd < 0) - Py_FatalError("Failed to open /dev/urandom"); + if (fd < 0) { + return -1; + } while (0 < size) { do { n = read(fd, buffer, (size_t)size); } while (n < 0 && errno == EINTR); - if (n <= 0) - { + + if (n <= 0) { /* stop on error or if read(size) returned 0 */ - Py_FatalError("Failed to read bytes from /dev/urandom"); - break; + return -1; } + buffer += n; size -= n; } close(fd); + + return 0; } /* Read size bytes from /dev/urandom into buffer. @@ -379,31 +377,51 @@ lcg_urandom(unsigned int x0, unsigned char *buffer, size_t size) } } -/* Fill buffer with size pseudo-random bytes from the operating system random - number generator (RNG). It is suitable for most cryptographic purposes - except long living private keys for asymmetric encryption. - - Return 0 on success, raise an exception and return -1 on error. */ -int -_PyOS_URandom(void *buffer, Py_ssize_t size) +/* If raise is zero: + * - Don't raise exceptions on error + * - Don't call PyErr_CheckSignals() on EINTR (retry directly the interrupted + * syscall) + * - Don't release the GIL to call syscalls. */ +static int +pyurandom(void *buffer, Py_ssize_t size, int raise) { if (size < 0) { - PyErr_Format(PyExc_ValueError, - "negative argument not allowed"); + if (raise) { + PyErr_Format(PyExc_ValueError, + "negative argument not allowed"); + } return -1; } - if (size == 0) + + if (size == 0) { return 0; + } #ifdef MS_WINDOWS - return win32_urandom((unsigned char *)buffer, size, 1); + return win32_urandom((unsigned char *)buffer, size, raise); #elif defined(PY_GETENTROPY) - return py_getentropy(buffer, size, 0); + return py_getentropy(buffer, size, raise); #else - return dev_urandom_python((char*)buffer, size); + if (raise) { + return dev_urandom_python(buffer, size); + } + else { + return dev_urandom_noraise(buffer, size); + } #endif } +/* Fill buffer with size pseudo-random bytes from the operating system random + number generator (RNG). It is suitable for most cryptographic purposes + except long living private keys for asymmetric encryption. + + Return 0 on success, raise an exception and return -1 on error. */ +int +_PyOS_URandom(void *buffer, Py_ssize_t size) +{ + return pyurandom(buffer, size, 1); +} + void _PyRandom_Init(void) { @@ -442,13 +460,14 @@ _PyRandom_Init(void) } } else { -#ifdef MS_WINDOWS - (void)win32_urandom(secret, secret_size, 0); -#elif defined(PY_GETENTROPY) - (void)py_getentropy(secret, secret_size, 1); -#else - dev_urandom_noraise(secret, secret_size); -#endif + int res; + + /* _PyRandom_Init() is called very early in the Python initialization + * and so exceptions cannot be used. */ + res = pyurandom(secret, secret_size, 0); + if (res < 0) { + Py_FatalError("failed to get random numbers to initialize Python"); + } } } -- cgit v1.2.1 From 5db5c4f457888511ef68c26ece1b4f987c8b2403 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Tue, 16 Aug 2016 15:19:09 +0200 Subject: Issue #27776: _PyRandom_Init() doesn't call PyErr_CheckSignals() anymore Modify py_getrandom() to not call PyErr_CheckSignals() if raise is zero. _PyRandom_Init() is called very early in the Python initialization, so it's safer to not call PyErr_CheckSignals(). --- Python/random.c | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) (limited to 'Python') diff --git a/Python/random.c b/Python/random.c index 7d37fe9575..4d0eabc001 100644 --- a/Python/random.c +++ b/Python/random.c @@ -191,10 +191,13 @@ py_getrandom(void *buffer, Py_ssize_t size, int raise) } if (errno == EINTR) { - if (PyErr_CheckSignals()) { - return -1; + if (raise) { + if (PyErr_CheckSignals()) { + return -1; + } } - /* retry getrandom() */ + + /* retry getrandom() if it was interrupted by a signal */ continue; } -- cgit v1.2.1 From ddceb622b9c351bd2ac681a46f628e4d93f5e6c3 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Tue, 16 Aug 2016 18:46:38 +0200 Subject: Issue #27776: Cleanup random.c Merge dev_urandom_python() and dev_urandom_noraise() functions to reduce code duplication. --- Python/random.c | 231 +++++++++++++++++++++++++++----------------------------- 1 file changed, 110 insertions(+), 121 deletions(-) (limited to 'Python') diff --git a/Python/random.c b/Python/random.c index 4d0eabc001..511070add0 100644 --- a/Python/random.c +++ b/Python/random.c @@ -77,7 +77,7 @@ win32_urandom(unsigned char *buffer, Py_ssize_t size, int raise) } /* Issue #25003: Don't use getentropy() on Solaris (available since - * Solaris 11.3), it is blocking whereas os.urandom() should not block. */ + Solaris 11.3), it is blocking whereas os.urandom() should not block. */ #elif defined(HAVE_GETENTROPY) && !defined(sun) #define PY_GETENTROPY 1 @@ -119,25 +119,32 @@ py_getentropy(char *buffer, Py_ssize_t size, int raise) #if defined(HAVE_GETRANDOM) || defined(HAVE_GETRANDOM_SYSCALL) #define PY_GETRANDOM 1 +/* Call getrandom() + - Return 1 on success + - Return 0 if getrandom() syscall is not available (fails with ENOSYS). + - Raise an exception (if raise is non-zero) and return -1 on error: + getrandom() failed with EINTR and the Python signal handler raised an + exception, or getrandom() failed with a different error. */ static int py_getrandom(void *buffer, Py_ssize_t size, int raise) { /* Is getrandom() supported by the running kernel? - * Need Linux kernel 3.17 or newer, or Solaris 11.3 or newer */ + Need Linux kernel 3.17 or newer, or Solaris 11.3 or newer */ static int getrandom_works = 1; /* getrandom() on Linux will block if called before the kernel has - * initialized the urandom entropy pool. This will cause Python - * to hang on startup if called very early in the boot process - - * see https://bugs.python.org/issue26839. To avoid this, use the - * GRND_NONBLOCK flag. */ + initialized the urandom entropy pool. This will cause Python + to hang on startup if called very early in the boot process - + see https://bugs.python.org/issue26839. To avoid this, use the + GRND_NONBLOCK flag. */ const int flags = GRND_NONBLOCK; char *dest; long n; - if (!getrandom_works) + if (!getrandom_works) { return 0; + } dest = buffer; while (0 < size) { @@ -161,8 +168,8 @@ py_getrandom(void *buffer, Py_ssize_t size, int raise) } #else /* On Linux, use the syscall() function because the GNU libc doesn't - * expose the Linux getrandom() syscall yet. See: - * https://sourceware.org/bugzilla/show_bug.cgi?id=17252 */ + expose the Linux getrandom() syscall yet. See: + https://sourceware.org/bugzilla/show_bug.cgi?id=17252 */ if (raise) { Py_BEGIN_ALLOW_THREADS n = syscall(SYS_getrandom, dest, n, flags); @@ -180,12 +187,12 @@ py_getrandom(void *buffer, Py_ssize_t size, int raise) } if (errno == EAGAIN) { /* If we failed with EAGAIN, the entropy pool was - * uninitialized. In this case, we return failure to fall - * back to reading from /dev/urandom. - * - * Note: In this case the data read will not be random so - * should not be used for cryptographic purposes. Retaining - * the existing semantics for practical purposes. */ + uninitialized. In this case, we return failure to fall + back to reading from /dev/urandom. + + Note: In this case the data read will not be random so + should not be used for cryptographic purposes. Retaining + the existing semantics for practical purposes. */ getrandom_works = 0; return 0; } @@ -221,130 +228,117 @@ static struct { } urandom_cache = { -1 }; -/* Read size bytes from /dev/urandom into buffer. - Return 0 success, or return -1 on error. */ -static int -dev_urandom_noraise(char *buffer, Py_ssize_t size) -{ - int fd; - Py_ssize_t n; - - assert (0 < size); - -#ifdef PY_GETRANDOM - if (py_getrandom(buffer, size, 0) == 1) { - return 0; - } - /* getrandom() is not supported by the running kernel, fall back - * on reading /dev/urandom */ -#endif - - fd = _Py_open_noraise("/dev/urandom", O_RDONLY); - if (fd < 0) { - return -1; - } - - while (0 < size) - { - do { - n = read(fd, buffer, (size_t)size); - } while (n < 0 && errno == EINTR); - - if (n <= 0) { - /* stop on error or if read(size) returned 0 */ - return -1; - } - - buffer += n; - size -= n; - } - close(fd); - - return 0; -} +/* Read 'size' random bytes from getrandom(). Fall back on reading from + /dev/urandom if getrandom() is not available. -/* Read size bytes from /dev/urandom into buffer. - Return 0 on success, raise an exception and return -1 on error. */ + Return 0 on success. Raise an exception (if raise is non-zero) and return -1 + on error. */ static int -dev_urandom_python(char *buffer, Py_ssize_t size) +dev_urandom(char *buffer, Py_ssize_t size, int raise) { int fd; Py_ssize_t n; - struct _Py_stat_struct st; #ifdef PY_GETRANDOM int res; #endif - if (size <= 0) - return 0; + assert(size > 0); #ifdef PY_GETRANDOM - res = py_getrandom(buffer, size, 1); - if (res < 0) + res = py_getrandom(buffer, size, raise); + if (res < 0) { return -1; - if (res == 1) + } + if (res == 1) { return 0; + } /* getrandom() is not supported by the running kernel, fall back - * on reading /dev/urandom */ + on reading /dev/urandom */ #endif - if (urandom_cache.fd >= 0) { - /* Does the fd point to the same thing as before? (issue #21207) */ - if (_Py_fstat_noraise(urandom_cache.fd, &st) - || st.st_dev != urandom_cache.st_dev - || st.st_ino != urandom_cache.st_ino) { - /* Something changed: forget the cached fd (but don't close it, - since it probably points to something important for some - third-party code). */ - urandom_cache.fd = -1; - } - } - if (urandom_cache.fd >= 0) - fd = urandom_cache.fd; - else { - fd = _Py_open("/dev/urandom", O_RDONLY); - if (fd < 0) { - if (errno == ENOENT || errno == ENXIO || - errno == ENODEV || errno == EACCES) - PyErr_SetString(PyExc_NotImplementedError, - "/dev/urandom (or equivalent) not found"); - /* otherwise, keep the OSError exception raised by _Py_open() */ - return -1; - } + + if (raise) { + struct _Py_stat_struct st; + if (urandom_cache.fd >= 0) { - /* urandom_fd was initialized by another thread while we were - not holding the GIL, keep it. */ - close(fd); - fd = urandom_cache.fd; + /* Does the fd point to the same thing as before? (issue #21207) */ + if (_Py_fstat_noraise(urandom_cache.fd, &st) + || st.st_dev != urandom_cache.st_dev + || st.st_ino != urandom_cache.st_ino) { + /* Something changed: forget the cached fd (but don't close it, + since it probably points to something important for some + third-party code). */ + urandom_cache.fd = -1; + } } + if (urandom_cache.fd >= 0) + fd = urandom_cache.fd; else { - if (_Py_fstat(fd, &st)) { - close(fd); + fd = _Py_open("/dev/urandom", O_RDONLY); + if (fd < 0) { + if (errno == ENOENT || errno == ENXIO || + errno == ENODEV || errno == EACCES) + PyErr_SetString(PyExc_NotImplementedError, + "/dev/urandom (or equivalent) not found"); + /* otherwise, keep the OSError exception raised by _Py_open() */ return -1; } + if (urandom_cache.fd >= 0) { + /* urandom_fd was initialized by another thread while we were + not holding the GIL, keep it. */ + close(fd); + fd = urandom_cache.fd; + } else { - urandom_cache.fd = fd; - urandom_cache.st_dev = st.st_dev; - urandom_cache.st_ino = st.st_ino; + if (_Py_fstat(fd, &st)) { + close(fd); + return -1; + } + else { + urandom_cache.fd = fd; + urandom_cache.st_dev = st.st_dev; + urandom_cache.st_ino = st.st_ino; + } } } - } - do { - n = _Py_read(fd, buffer, (size_t)size); - if (n == -1) - return -1; - if (n == 0) { - PyErr_Format(PyExc_RuntimeError, - "Failed to read %zi bytes from /dev/urandom", - size); + do { + n = _Py_read(fd, buffer, (size_t)size); + if (n == -1) + return -1; + if (n == 0) { + PyErr_Format(PyExc_RuntimeError, + "Failed to read %zi bytes from /dev/urandom", + size); + return -1; + } + + buffer += n; + size -= n; + } while (0 < size); + } + else { + fd = _Py_open_noraise("/dev/urandom", O_RDONLY); + if (fd < 0) { return -1; } - buffer += n; - size -= n; - } while (0 < size); + while (0 < size) + { + do { + n = read(fd, buffer, (size_t)size); + } while (n < 0 && errno == EINTR); + if (n <= 0) { + /* stop on error or if read(size) returned 0 */ + return -1; + } + + buffer += n; + size -= n; + } + close(fd); + } return 0; } @@ -381,10 +375,10 @@ lcg_urandom(unsigned int x0, unsigned char *buffer, size_t size) } /* If raise is zero: - * - Don't raise exceptions on error - * - Don't call PyErr_CheckSignals() on EINTR (retry directly the interrupted - * syscall) - * - Don't release the GIL to call syscalls. */ + - Don't raise exceptions on error + - Don't call PyErr_CheckSignals() on EINTR (retry directly the interrupted + syscall) + - Don't release the GIL to call syscalls. */ static int pyurandom(void *buffer, Py_ssize_t size, int raise) { @@ -405,12 +399,7 @@ pyurandom(void *buffer, Py_ssize_t size, int raise) #elif defined(PY_GETENTROPY) return py_getentropy(buffer, size, raise); #else - if (raise) { - return dev_urandom_python(buffer, size); - } - else { - return dev_urandom_noraise(buffer, size); - } + return dev_urandom(buffer, size, raise); #endif } @@ -466,7 +455,7 @@ _PyRandom_Init(void) int res; /* _PyRandom_Init() is called very early in the Python initialization - * and so exceptions cannot be used. */ + and so exceptions cannot be used (use raise=0). */ res = pyurandom(secret, secret_size, 0); if (res < 0) { Py_FatalError("failed to get random numbers to initialize Python"); -- cgit v1.2.1 From c0eea49e2df42814569b3e7fdc089021dfed668a Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Tue, 16 Aug 2016 18:27:44 +0200 Subject: Issue #27776: dev_urandom(raise=0) now closes the file descriptor on error --- Python/random.c | 1 + 1 file changed, 1 insertion(+) (limited to 'Python') diff --git a/Python/random.c b/Python/random.c index 511070add0..6fdce64bca 100644 --- a/Python/random.c +++ b/Python/random.c @@ -331,6 +331,7 @@ dev_urandom(char *buffer, Py_ssize_t size, int raise) if (n <= 0) { /* stop on error or if read(size) returned 0 */ + close(fd); return -1; } -- cgit v1.2.1 From e5d72bbbf9876f82f8d6358392e408c9d3d76bcd Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Tue, 16 Aug 2016 23:40:29 +0200 Subject: Issue #27128: Cleanup _PyEval_EvalCodeWithName() * Add comments * Add empty lines for readability * PEP 7 style for if block * Remove useless assert(globals != NULL); (globals is tested a few lines before) --- Python/ceval.c | 54 +++++++++++++++++++++++++++++++++++++++++++----------- 1 file changed, 43 insertions(+), 11 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 7ca3ad253f..6e4c6aa627 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -3793,12 +3793,13 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, PyFrameObject *f; PyObject *retval = NULL; PyObject **fastlocals, **freevars; - PyThreadState *tstate = PyThreadState_GET(); + PyThreadState *tstate; PyObject *x, *u; int total_args = co->co_argcount + co->co_kwonlyargcount; - int i; - int n = argcount; - PyObject *kwdict = NULL; + int i, n; + PyObject *kwdict; + + assert((kwcount == 0) || (kws != NULL)); if (globals == NULL) { PyErr_SetString(PyExc_SystemError, @@ -3806,36 +3807,50 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, return NULL; } + /* Create the frame */ + tstate = PyThreadState_GET(); assert(tstate != NULL); - assert(globals != NULL); f = PyFrame_New(tstate, co, globals, locals); - if (f == NULL) + if (f == NULL) { return NULL; - + } fastlocals = f->f_localsplus; freevars = f->f_localsplus + co->co_nlocals; - /* Parse arguments. */ + /* Create a dictionary for keyword parameters (**kwags) */ if (co->co_flags & CO_VARKEYWORDS) { kwdict = PyDict_New(); if (kwdict == NULL) goto fail; i = total_args; - if (co->co_flags & CO_VARARGS) + if (co->co_flags & CO_VARARGS) { i++; + } SETLOCAL(i, kwdict); } - if (argcount > co->co_argcount) + else { + kwdict = NULL; + } + + /* Copy positional arguments into local variables */ + if (argcount > co->co_argcount) { n = co->co_argcount; + } + else { + n = argcount; + } for (i = 0; i < n; i++) { x = args[i]; Py_INCREF(x); SETLOCAL(i, x); } + + /* Pack other positional arguments into the *args argument */ if (co->co_flags & CO_VARARGS) { u = PyTuple_New(argcount - n); - if (u == NULL) + if (u == NULL) { goto fail; + } SETLOCAL(total_args, u); for (i = n; i < argcount; i++) { x = args[i]; @@ -3843,17 +3858,21 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, PyTuple_SET_ITEM(u, i-n, x); } } + + /* Handle keyword arguments (passed as an array of (key, value)) */ for (i = 0; i < kwcount; i++) { PyObject **co_varnames; PyObject *keyword = kws[2*i]; PyObject *value = kws[2*i + 1]; int j; + if (keyword == NULL || !PyUnicode_Check(keyword)) { PyErr_Format(PyExc_TypeError, "%U() keywords must be strings", co->co_name); goto fail; } + /* Speed hack: do raw pointer compares. As names are normally interned this should almost always hit. */ co_varnames = ((PyTupleObject *)(co->co_varnames))->ob_item; @@ -3862,6 +3881,7 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, if (nm == keyword) goto kw_found; } + /* Slow fallback, just in case */ for (j = 0; j < total_args; j++) { PyObject *nm = co_varnames[j]; @@ -3872,6 +3892,7 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, else if (cmp < 0) goto fail; } + if (j >= total_args && kwdict == NULL) { PyErr_Format(PyExc_TypeError, "%U() got an unexpected " @@ -3880,10 +3901,12 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, keyword); goto fail; } + if (PyDict_SetItem(kwdict, keyword, value) == -1) { goto fail; } continue; + kw_found: if (GETLOCAL(j) != NULL) { PyErr_Format(PyExc_TypeError, @@ -3896,10 +3919,14 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, Py_INCREF(value); SETLOCAL(j, value); } + + /* Check the number of positional arguments */ if (argcount > co->co_argcount && !(co->co_flags & CO_VARARGS)) { too_many_positional(co, argcount, defcount, fastlocals); goto fail; } + + /* Add missing positional arguments (copy default values from defs) */ if (argcount < co->co_argcount) { int m = co->co_argcount - defcount; int missing = 0; @@ -3922,6 +3949,8 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, } } } + + /* Add missing keyword arguments (copy default values from kwdefs) */ if (co->co_kwonlyargcount > 0) { int missing = 0; for (i = co->co_argcount; i < total_args; i++) { @@ -3964,12 +3993,15 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, goto fail; SETLOCAL(co->co_nlocals + i, c); } + + /* Copy closure variables to free variables */ for (i = 0; i < PyTuple_GET_SIZE(co->co_freevars); ++i) { PyObject *o = PyTuple_GET_ITEM(closure, i); Py_INCREF(o); freevars[PyTuple_GET_SIZE(co->co_cellvars) + i] = o; } + /* Handle generator/coroutine */ if (co->co_flags & (CO_GENERATOR | CO_COROUTINE)) { PyObject *gen; PyObject *coro_wrapper = tstate->coroutine_wrapper; -- cgit v1.2.1 From 967cc3e92fb9079e9893d6f4fd09df814751fb87 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Tue, 16 Aug 2016 23:39:42 +0200 Subject: Use Py_ssize_t in _PyEval_EvalCodeWithName() Issue #27128, #18295: replace int type with Py_ssize_t for index variables used for positional arguments. It should help to avoid integer overflow and help to emit better machine code for "i++" (no trap needed for overflow). Make also the total_args variable constant. --- Python/ceval.c | 18 ++++++++++-------- 1 file changed, 10 insertions(+), 8 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 6e4c6aa627..07ac167359 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -3795,8 +3795,8 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, PyObject **fastlocals, **freevars; PyThreadState *tstate; PyObject *x, *u; - int total_args = co->co_argcount + co->co_kwonlyargcount; - int i, n; + const Py_ssize_t total_args = co->co_argcount + co->co_kwonlyargcount; + Py_ssize_t i, n; PyObject *kwdict; assert((kwcount == 0) || (kws != NULL)); @@ -3864,7 +3864,7 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, PyObject **co_varnames; PyObject *keyword = kws[2*i]; PyObject *value = kws[2*i + 1]; - int j; + Py_ssize_t j; if (keyword == NULL || !PyUnicode_Check(keyword)) { PyErr_Format(PyExc_TypeError, @@ -3928,11 +3928,13 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, /* Add missing positional arguments (copy default values from defs) */ if (argcount < co->co_argcount) { - int m = co->co_argcount - defcount; - int missing = 0; - for (i = argcount; i < m; i++) - if (GETLOCAL(i) == NULL) + Py_ssize_t m = co->co_argcount - defcount; + Py_ssize_t missing = 0; + for (i = argcount; i < m; i++) { + if (GETLOCAL(i) == NULL) { missing++; + } + } if (missing) { missing_arguments(co, missing, defcount, fastlocals); goto fail; @@ -3952,7 +3954,7 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, /* Add missing keyword arguments (copy default values from kwdefs) */ if (co->co_kwonlyargcount > 0) { - int missing = 0; + Py_ssize_t missing = 0; for (i = co->co_argcount; i < total_args; i++) { PyObject *name; if (GETLOCAL(i) != NULL) -- cgit v1.2.1 From 72559773cff88f5f727bcb742b3dfc769b033387 Mon Sep 17 00:00:00 2001 From: Ned Deily Date: Wed, 17 Aug 2016 17:18:33 -0400 Subject: Issue #27594: Prevent assertion error when running test_ast with coverage enabled: ensure code object has a valid first line number. Patch suggested by Ivan Levkivskyi. --- Python/compile.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/compile.c b/Python/compile.c index e46676c0b0..fb80f51fc0 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -4963,7 +4963,7 @@ assemble(struct compiler *c, int addNone) /* Set firstlineno if it wasn't explicitly set. */ if (!c->u->u_firstlineno) { - if (entryblock && entryblock->b_instr) + if (entryblock && entryblock->b_instr && entryblock->b_instr->i_lineno) c->u->u_firstlineno = entryblock->b_instr->i_lineno; else c->u->u_firstlineno = 1; -- cgit v1.2.1 From d7a4362203dbd80afd88e89b46e649d7c3095821 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Fri, 19 Aug 2016 16:11:43 +0200 Subject: Add _PyObject_FastCall() Issue #27128: Add _PyObject_FastCall(), a new calling convention avoiding a temporary tuple to pass positional parameters in most cases, but create a temporary tuple if needed (ex: for the tp_call slot). The API is prepared to support keyword parameters, but the full implementation will come later (_PyFunction_FastCall() doesn't support keyword parameters yet). Add also: * _PyStack_AsTuple() helper function: convert a "stack" of parameters to a tuple. * _PyCFunction_FastCall(): fast call implementation for C functions * _PyFunction_FastCall(): fast call implementation for Python functions --- Python/ceval.c | 159 ++++++++++++++++++++++++++++++++++++++++----------------- 1 file changed, 113 insertions(+), 46 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 8e7d5c2f77..b9b21d14be 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -113,7 +113,7 @@ static PyObject * call_function(PyObject ***, int, uint64*, uint64*); #else static PyObject * call_function(PyObject ***, int); #endif -static PyObject * fast_function(PyObject *, PyObject ***, int, int, int); +static PyObject * fast_function(PyObject *, PyObject **, int, int, int); static PyObject * do_call(PyObject *, PyObject ***, int, int); static PyObject * ext_do_call(PyObject *, PyObject ***, int, int, int); static PyObject * update_keyword_args(PyObject *, int, PyObject ***, @@ -3779,6 +3779,7 @@ too_many_positional(PyCodeObject *co, int given, int defcount, PyObject **fastlo Py_DECREF(kwonly_sig); } + /* This is gonna seem *real weird*, but if you put some other code between PyEval_EvalFrame() and PyEval_EvalCodeEx() you will need to adjust the test in the if statements in Misc/gdbinit (pystack and pystackv). */ @@ -4068,8 +4069,10 @@ PyEval_EvalCodeEx(PyObject *_co, PyObject *globals, PyObject *locals, PyObject **defs, int defcount, PyObject *kwdefs, PyObject *closure) { return _PyEval_EvalCodeWithName(_co, globals, locals, - args, argcount, kws, kwcount, - defs, defcount, kwdefs, closure, + args, argcount, + kws, kwcount, + defs, defcount, + kwdefs, closure, NULL, NULL); } @@ -4757,10 +4760,12 @@ call_function(PyObject ***pp_stack, int oparg } else Py_INCREF(func); READ_TIMESTAMP(*pintr0); - if (PyFunction_Check(func)) - x = fast_function(func, pp_stack, n, na, nk); - else + if (PyFunction_Check(func)) { + x = fast_function(func, (*pp_stack) - n, n, na, nk); + } + else { x = do_call(func, pp_stack, na, nk); + } READ_TIMESTAMP(*pintr1); Py_DECREF(func); @@ -4790,62 +4795,124 @@ call_function(PyObject ***pp_stack, int oparg done before evaluating the frame. */ +static PyObject* +_PyFunction_FastCallNoKw(PyObject **args, Py_ssize_t na, + PyCodeObject *co, PyObject *globals) +{ + PyFrameObject *f; + PyThreadState *tstate = PyThreadState_GET(); + PyObject **fastlocals; + Py_ssize_t i; + PyObject *result; + + PCALL(PCALL_FASTER_FUNCTION); + assert(globals != NULL); + /* XXX Perhaps we should create a specialized + PyFrame_New() that doesn't take locals, but does + take builtins without sanity checking them. + */ + assert(tstate != NULL); + f = PyFrame_New(tstate, co, globals, NULL); + if (f == NULL) { + return NULL; + } + + fastlocals = f->f_localsplus; + + for (i = 0; i < na; i++) { + Py_INCREF(*args); + fastlocals[i] = *args++; + } + result = PyEval_EvalFrameEx(f,0); + + ++tstate->recursion_depth; + Py_DECREF(f); + --tstate->recursion_depth; + + return result; +} + static PyObject * -fast_function(PyObject *func, PyObject ***pp_stack, int n, int na, int nk) +fast_function(PyObject *func, PyObject **stack, int n, int na, int nk) { PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); PyObject *globals = PyFunction_GET_GLOBALS(func); PyObject *argdefs = PyFunction_GET_DEFAULTS(func); - PyObject *kwdefs = PyFunction_GET_KW_DEFAULTS(func); - PyObject *name = ((PyFunctionObject *)func) -> func_name; - PyObject *qualname = ((PyFunctionObject *)func) -> func_qualname; - PyObject **d = NULL; - int nd = 0; + PyObject *kwdefs, *closure, *name, *qualname; + PyObject **d; + int nd; PCALL(PCALL_FUNCTION); PCALL(PCALL_FAST_FUNCTION); - if (argdefs == NULL && co->co_argcount == n && - co->co_kwonlyargcount == 0 && nk==0 && - co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { - PyFrameObject *f; - PyObject *retval = NULL; - PyThreadState *tstate = PyThreadState_GET(); - PyObject **fastlocals, **stack; - int i; - PCALL(PCALL_FASTER_FUNCTION); - assert(globals != NULL); - /* XXX Perhaps we should create a specialized - PyFrame_New() that doesn't take locals, but does - take builtins without sanity checking them. - */ - assert(tstate != NULL); - f = PyFrame_New(tstate, co, globals, NULL); - if (f == NULL) - return NULL; + if (argdefs == NULL && co->co_argcount == na && + co->co_kwonlyargcount == 0 && nk == 0 && + co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) + { + return _PyFunction_FastCallNoKw(stack, na, co, globals); + } - fastlocals = f->f_localsplus; - stack = (*pp_stack) - n; + kwdefs = PyFunction_GET_KW_DEFAULTS(func); + closure = PyFunction_GET_CLOSURE(func); + name = ((PyFunctionObject *)func) -> func_name; + qualname = ((PyFunctionObject *)func) -> func_qualname; - for (i = 0; i < n; i++) { - Py_INCREF(*stack); - fastlocals[i] = *stack++; - } - retval = PyEval_EvalFrameEx(f,0); - ++tstate->recursion_depth; - Py_DECREF(f); - --tstate->recursion_depth; - return retval; + if (argdefs != NULL) { + d = &PyTuple_GET_ITEM(argdefs, 0); + nd = Py_SIZE(argdefs); + } + else { + d = NULL; + nd = 0; + } + return _PyEval_EvalCodeWithName((PyObject*)co, globals, (PyObject *)NULL, + stack, na, + stack + na, nk, + d, nd, kwdefs, + closure, name, qualname); +} + +PyObject * +_PyFunction_FastCall(PyObject *func, PyObject **args, int nargs, PyObject *kwargs) +{ + PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); + PyObject *globals = PyFunction_GET_GLOBALS(func); + PyObject *argdefs = PyFunction_GET_DEFAULTS(func); + PyObject *kwdefs, *closure, *name, *qualname; + PyObject **d; + int nd; + + PCALL(PCALL_FUNCTION); + PCALL(PCALL_FAST_FUNCTION); + + /* issue #27128: support for keywords will come later */ + assert(kwargs == NULL); + + if (argdefs == NULL && co->co_argcount == nargs && + co->co_kwonlyargcount == 0 && + co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) + { + return _PyFunction_FastCallNoKw(args, nargs, co, globals); } + + kwdefs = PyFunction_GET_KW_DEFAULTS(func); + closure = PyFunction_GET_CLOSURE(func); + name = ((PyFunctionObject *)func) -> func_name; + qualname = ((PyFunctionObject *)func) -> func_qualname; + if (argdefs != NULL) { d = &PyTuple_GET_ITEM(argdefs, 0); nd = Py_SIZE(argdefs); } - return _PyEval_EvalCodeWithName((PyObject*)co, globals, - (PyObject *)NULL, (*pp_stack)-n, na, - (*pp_stack)-2*nk, nk, d, nd, kwdefs, - PyFunction_GET_CLOSURE(func), - name, qualname); + else { + d = NULL; + nd = 0; + } + return _PyEval_EvalCodeWithName((PyObject*)co, globals, (PyObject *)NULL, + args, nargs, + NULL, 0, + d, nd, kwdefs, + closure, name, qualname); } static PyObject * -- cgit v1.2.1 From 5ec8e204a810f77c1fee138c4625c4d1e78aae46 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Fri, 19 Aug 2016 16:42:42 +0200 Subject: PyEval_CallObjectWithKeywords() uses fast call Issue #27128: Modify PyEval_CallObjectWithKeywords() to use _PyObject_FastCall() when args==NULL and kw==NULL. It avoids the creation of a temporary empty tuple for positional arguments. --- Python/ceval.c | 4 ++++ 1 file changed, 4 insertions(+) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index b9b21d14be..75eaa8110a 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -4592,6 +4592,10 @@ PyEval_CallObjectWithKeywords(PyObject *func, PyObject *arg, PyObject *kw) #endif if (arg == NULL) { + if (kw == NULL) { + return _PyObject_FastCall(func, NULL, 0, 0); + } + arg = PyTuple_New(0); if (arg == NULL) return NULL; -- cgit v1.2.1 From 06f5b1d3dd2314af2e1f97e8da45bb28b0969f5e Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Fri, 19 Aug 2016 17:12:23 +0200 Subject: Fix PyObject_Call() parameter names Issue #27128: arg=>args, kw=>kwargs. Same change for PyEval_CallObjectWithKeywords(). --- Python/ceval.c | 25 +++++++++++++------------ 1 file changed, 13 insertions(+), 12 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 75eaa8110a..905859ef3b 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -4580,7 +4580,7 @@ PyEval_MergeCompilerFlags(PyCompilerFlags *cf) The arg must be a tuple or NULL. The kw must be a dict or NULL. */ PyObject * -PyEval_CallObjectWithKeywords(PyObject *func, PyObject *arg, PyObject *kw) +PyEval_CallObjectWithKeywords(PyObject *func, PyObject *args, PyObject *kwargs) { PyObject *result; @@ -4591,32 +4591,33 @@ PyEval_CallObjectWithKeywords(PyObject *func, PyObject *arg, PyObject *kw) assert(!PyErr_Occurred()); #endif - if (arg == NULL) { - if (kw == NULL) { + if (args == NULL) { + if (kwargs == NULL) { return _PyObject_FastCall(func, NULL, 0, 0); } - arg = PyTuple_New(0); - if (arg == NULL) + args = PyTuple_New(0); + if (args == NULL) return NULL; } - else if (!PyTuple_Check(arg)) { + else if (!PyTuple_Check(args)) { PyErr_SetString(PyExc_TypeError, "argument list must be a tuple"); return NULL; } - else - Py_INCREF(arg); + else { + Py_INCREF(args); + } - if (kw != NULL && !PyDict_Check(kw)) { + if (kwargs != NULL && !PyDict_Check(kwargs)) { PyErr_SetString(PyExc_TypeError, "keyword list must be a dictionary"); - Py_DECREF(arg); + Py_DECREF(args); return NULL; } - result = PyObject_Call(func, arg, kw); - Py_DECREF(arg); + result = PyObject_Call(func, args, kwargs); + Py_DECREF(args); return result; } -- cgit v1.2.1 From a3c8f9cb0c66423277a78c96665190349499a60c Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Sat, 20 Aug 2016 00:44:42 +0200 Subject: import_name() now uses fast call Issue #27128: import_name() now calls _PyObject_FastCall() to avoid the creation of a temporary tuple. --- Python/ceval.c | 22 +++++++++------------- 1 file changed, 9 insertions(+), 13 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 905859ef3b..d16e93207a 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -5247,7 +5247,8 @@ static PyObject * import_name(PyFrameObject *f, PyObject *name, PyObject *fromlist, PyObject *level) { _Py_IDENTIFIER(__import__); - PyObject *import_func, *args, *res; + PyObject *import_func, *res; + PyObject* stack[5]; import_func = _PyDict_GetItemId(f->f_builtins, &PyId___import__); if (import_func == NULL) { @@ -5271,18 +5272,13 @@ import_name(PyFrameObject *f, PyObject *name, PyObject *fromlist, PyObject *leve } Py_INCREF(import_func); - args = PyTuple_Pack(5, - name, - f->f_globals, - f->f_locals == NULL ? Py_None : f->f_locals, - fromlist, - level); - if (args == NULL) { - Py_DECREF(import_func); - return NULL; - } - res = PyEval_CallObject(import_func, args); - Py_DECREF(args); + + stack[0] = name; + stack[1] = f->f_globals; + stack[2] = f->f_locals == NULL ? Py_None : f->f_locals; + stack[3] = fromlist; + stack[4] = level; + res = _PyObject_FastCall(import_func, stack, 5, NULL); Py_DECREF(import_func); return res; } -- cgit v1.2.1 From 6bdc22306527e58061bad2e49ab3bb4b525a2f86 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Sat, 20 Aug 2016 00:57:43 +0200 Subject: PyErr_PrintEx() now uses fast call Issue #27128. --- Python/pythonrun.c | 10 +++++++--- 1 file changed, 7 insertions(+), 3 deletions(-) (limited to 'Python') diff --git a/Python/pythonrun.c b/Python/pythonrun.c index 678ebfe5f6..2968b34cc8 100644 --- a/Python/pythonrun.c +++ b/Python/pythonrun.c @@ -630,8 +630,13 @@ PyErr_PrintEx(int set_sys_last_vars) } hook = _PySys_GetObjectId(&PyId_excepthook); if (hook) { - PyObject *args = PyTuple_Pack(3, exception, v, tb); - PyObject *result = PyEval_CallObject(hook, args); + PyObject* stack[3]; + PyObject *result; + + stack[0] = exception; + stack[1] = v; + stack[2] = tb; + result = _PyObject_FastCall(hook, stack, 3, NULL); if (result == NULL) { PyObject *exception2, *v2, *tb2; if (PyErr_ExceptionMatches(PyExc_SystemExit)) { @@ -660,7 +665,6 @@ PyErr_PrintEx(int set_sys_last_vars) Py_XDECREF(tb2); } Py_XDECREF(result); - Py_XDECREF(args); } else { PySys_WriteStderr("sys.excepthook is missing\n"); PyErr_Display(exception, v, tb); -- cgit v1.2.1 From f1390f308e25c22f553ef9c720842b2c537d831a Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Sat, 20 Aug 2016 01:22:57 +0200 Subject: call_trampoline() now uses fast call Issue #27128. --- Python/sysmodule.c | 29 ++++++++++------------------- 1 file changed, 10 insertions(+), 19 deletions(-) (limited to 'Python') diff --git a/Python/sysmodule.c b/Python/sysmodule.c index 56175d9544..74b8560ae8 100644 --- a/Python/sysmodule.c +++ b/Python/sysmodule.c @@ -368,34 +368,25 @@ static PyObject * call_trampoline(PyObject* callback, PyFrameObject *frame, int what, PyObject *arg) { - PyObject *args; - PyObject *whatstr; PyObject *result; + PyObject *stack[3]; - args = PyTuple_New(3); - if (args == NULL) - return NULL; - if (PyFrame_FastToLocalsWithError(frame) < 0) + if (PyFrame_FastToLocalsWithError(frame) < 0) { return NULL; + } - Py_INCREF(frame); - whatstr = whatstrings[what]; - Py_INCREF(whatstr); - if (arg == NULL) - arg = Py_None; - Py_INCREF(arg); - PyTuple_SET_ITEM(args, 0, (PyObject *)frame); - PyTuple_SET_ITEM(args, 1, whatstr); - PyTuple_SET_ITEM(args, 2, arg); + stack[0] = (PyObject *)frame; + stack[1] = whatstrings[what]; + stack[2] = (arg != NULL) ? arg : Py_None; /* call the Python-level function */ - result = PyEval_CallObject(callback, args); + result = _PyObject_FastCall(callback, stack, 3, NULL); + PyFrame_LocalsToFast(frame, 1); - if (result == NULL) + if (result == NULL) { PyTraceBack_Here(frame); + } - /* cleanup */ - Py_DECREF(args); return result; } -- cgit v1.2.1 From b0d6074700270d6c57fac1354c7b701210f2bbea Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Sat, 20 Aug 2016 01:24:22 +0200 Subject: sys_pyfile_write_unicode() now uses fast call Issue #27128. --- Python/sysmodule.c | 9 ++------- 1 file changed, 2 insertions(+), 7 deletions(-) (limited to 'Python') diff --git a/Python/sysmodule.c b/Python/sysmodule.c index 74b8560ae8..be8e164bba 100644 --- a/Python/sysmodule.c +++ b/Python/sysmodule.c @@ -2112,7 +2112,7 @@ PySys_SetArgv(int argc, wchar_t **argv) static int sys_pyfile_write_unicode(PyObject *unicode, PyObject *file) { - PyObject *writer = NULL, *args = NULL, *result = NULL; + PyObject *writer = NULL, *result = NULL; int err; if (file == NULL) @@ -2122,11 +2122,7 @@ sys_pyfile_write_unicode(PyObject *unicode, PyObject *file) if (writer == NULL) goto error; - args = PyTuple_Pack(1, unicode); - if (args == NULL) - goto error; - - result = PyEval_CallObject(writer, args); + result = _PyObject_FastCall(writer, &unicode, 1, NULL); if (result == NULL) { goto error; } else { @@ -2138,7 +2134,6 @@ error: err = -1; finally: Py_XDECREF(writer); - Py_XDECREF(args); Py_XDECREF(result); return err; } -- cgit v1.2.1 From 0a4fae5c7e47a3ad5314160df05d00527f5922ab Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Sat, 20 Aug 2016 03:05:13 +0200 Subject: Fix reference leak in tb_printinternal() Issue #26823. --- Python/traceback.c | 2 ++ 1 file changed, 2 insertions(+) (limited to 'Python') diff --git a/Python/traceback.c b/Python/traceback.c index 15cde444f4..b33156eaa7 100644 --- a/Python/traceback.c +++ b/Python/traceback.c @@ -435,6 +435,7 @@ tb_printinternal(PyTracebackObject *tb, PyObject *f, long limit) line = PyUnicode_FromFormat( " [Previous line repeated %d more times]\n", cnt-3); err = PyFile_WriteObject(line, f, Py_PRINT_RAW); + Py_DECREF(line); } last_file = tb->tb_frame->f_code->co_filename; last_line = tb->tb_lineno; @@ -456,6 +457,7 @@ tb_printinternal(PyTracebackObject *tb, PyObject *f, long limit) line = PyUnicode_FromFormat( " [Previous line repeated %d more times]\n", cnt-3); err = PyFile_WriteObject(line, f, Py_PRINT_RAW); + Py_DECREF(line); } return err; } -- cgit v1.2.1 From da778ce9a4619576587ed97e96041d101c489129 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Mon, 22 Aug 2016 12:29:42 +0200 Subject: Optimize call to Python function without argument Issue #27128. When a Python function is called with no arguments, but all parameters have a default value: use default values as arguments for the fast path. --- Python/ceval.c | 42 +++++++++++++++++++++++++++++++----------- 1 file changed, 31 insertions(+), 11 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index d16e93207a..bd0cbe758f 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -4801,8 +4801,8 @@ call_function(PyObject ***pp_stack, int oparg */ static PyObject* -_PyFunction_FastCallNoKw(PyObject **args, Py_ssize_t na, - PyCodeObject *co, PyObject *globals) +_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, + PyObject *globals) { PyFrameObject *f; PyThreadState *tstate = PyThreadState_GET(); @@ -4837,8 +4837,10 @@ _PyFunction_FastCallNoKw(PyObject **args, Py_ssize_t na, return result; } +/* Similar to _PyFunction_FastCall() but keywords are passed a (key, value) + pairs in stack */ static PyObject * -fast_function(PyObject *func, PyObject **stack, int n, int na, int nk) +fast_function(PyObject *func, PyObject **stack, int n, int nargs, int nk) { PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); PyObject *globals = PyFunction_GET_GLOBALS(func); @@ -4850,11 +4852,20 @@ fast_function(PyObject *func, PyObject **stack, int n, int na, int nk) PCALL(PCALL_FUNCTION); PCALL(PCALL_FAST_FUNCTION); - if (argdefs == NULL && co->co_argcount == na && - co->co_kwonlyargcount == 0 && nk == 0 && + if (co->co_kwonlyargcount == 0 && nk == 0 && co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { - return _PyFunction_FastCallNoKw(stack, na, co, globals); + if (argdefs == NULL && co->co_argcount == nargs) { + return _PyFunction_FastCallNoKw(co, stack, nargs, globals); + } + else if (nargs == 0 && argdefs != NULL + && co->co_argcount == Py_SIZE(argdefs)) { + /* function called with no arguments, but all parameters have + a default value: use default values as arguments .*/ + stack = &PyTuple_GET_ITEM(argdefs, 0); + return _PyFunction_FastCallNoKw(co, stack, Py_SIZE(argdefs), + globals); + } } kwdefs = PyFunction_GET_KW_DEFAULTS(func); @@ -4871,8 +4882,8 @@ fast_function(PyObject *func, PyObject **stack, int n, int na, int nk) nd = 0; } return _PyEval_EvalCodeWithName((PyObject*)co, globals, (PyObject *)NULL, - stack, na, - stack + na, nk, + stack, nargs, + stack + nargs, nk, d, nd, kwdefs, closure, name, qualname); } @@ -4893,11 +4904,20 @@ _PyFunction_FastCall(PyObject *func, PyObject **args, int nargs, PyObject *kwarg /* issue #27128: support for keywords will come later */ assert(kwargs == NULL); - if (argdefs == NULL && co->co_argcount == nargs && - co->co_kwonlyargcount == 0 && + if (co->co_kwonlyargcount == 0 && kwargs == NULL && co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { - return _PyFunction_FastCallNoKw(args, nargs, co, globals); + if (argdefs == NULL && co->co_argcount == nargs) { + return _PyFunction_FastCallNoKw(co, args, nargs, globals); + } + else if (nargs == 0 && argdefs != NULL + && co->co_argcount == Py_SIZE(argdefs)) { + /* function called with no arguments, but all parameters have + a default value: use default values as arguments .*/ + args = &PyTuple_GET_ITEM(argdefs, 0); + return _PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), + globals); + } } kwdefs = PyFunction_GET_KW_DEFAULTS(func); -- cgit v1.2.1 From de03c6d8066496680a1ea99ff9e67e28852b0007 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Mon, 22 Aug 2016 22:48:54 +0200 Subject: Rename _PyObject_FastCall() to _PyObject_FastCallDict() Issue #27809: * Rename _PyObject_FastCall() function to _PyObject_FastCallDict() * Add _PyObject_FastCall(), _PyObject_CallNoArg() and _PyObject_CallArg1() macros calling _PyObject_FastCallDict() --- Python/ceval.c | 4 ++-- Python/pythonrun.c | 2 +- Python/sysmodule.c | 4 ++-- 3 files changed, 5 insertions(+), 5 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index bd0cbe758f..96380bca96 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -4593,7 +4593,7 @@ PyEval_CallObjectWithKeywords(PyObject *func, PyObject *args, PyObject *kwargs) if (args == NULL) { if (kwargs == NULL) { - return _PyObject_FastCall(func, NULL, 0, 0); + return _PyObject_CallNoArg(func); } args = PyTuple_New(0); @@ -5298,7 +5298,7 @@ import_name(PyFrameObject *f, PyObject *name, PyObject *fromlist, PyObject *leve stack[2] = f->f_locals == NULL ? Py_None : f->f_locals; stack[3] = fromlist; stack[4] = level; - res = _PyObject_FastCall(import_func, stack, 5, NULL); + res = _PyObject_FastCall(import_func, stack, 5); Py_DECREF(import_func); return res; } diff --git a/Python/pythonrun.c b/Python/pythonrun.c index 2968b34cc8..3fb6f15dd7 100644 --- a/Python/pythonrun.c +++ b/Python/pythonrun.c @@ -636,7 +636,7 @@ PyErr_PrintEx(int set_sys_last_vars) stack[0] = exception; stack[1] = v; stack[2] = tb; - result = _PyObject_FastCall(hook, stack, 3, NULL); + result = _PyObject_FastCall(hook, stack, 3); if (result == NULL) { PyObject *exception2, *v2, *tb2; if (PyErr_ExceptionMatches(PyExc_SystemExit)) { diff --git a/Python/sysmodule.c b/Python/sysmodule.c index be8e164bba..c170bd5889 100644 --- a/Python/sysmodule.c +++ b/Python/sysmodule.c @@ -380,7 +380,7 @@ call_trampoline(PyObject* callback, stack[2] = (arg != NULL) ? arg : Py_None; /* call the Python-level function */ - result = _PyObject_FastCall(callback, stack, 3, NULL); + result = _PyObject_FastCall(callback, stack, 3); PyFrame_LocalsToFast(frame, 1); if (result == NULL) { @@ -2122,7 +2122,7 @@ sys_pyfile_write_unicode(PyObject *unicode, PyObject *file) if (writer == NULL) goto error; - result = _PyObject_FastCall(writer, &unicode, 1, NULL); + result = _PyObject_CallArg1(writer, unicode); if (result == NULL) { goto error; } else { -- cgit v1.2.1 From 9dae6156b5e3127cb8bfaa1bd36cecadaad5d60b Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Mon, 22 Aug 2016 23:15:44 +0200 Subject: _PyFunction_FastCallDict() supports keyword args Issue #27809: * Rename _PyFunction_FastCall() to _PyFunction_FastCallDict() * Rename _PyCFunction_FastCall() to _PyCFunction_FastCallDict() * _PyFunction_FastCallDict() now supports keyword arguments --- Python/ceval.c | 50 +++++++++++++++++++++++++++++++++++++++++--------- 1 file changed, 41 insertions(+), 9 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 96380bca96..d656fab3ee 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -4889,24 +4889,29 @@ fast_function(PyObject *func, PyObject **stack, int n, int nargs, int nk) } PyObject * -_PyFunction_FastCall(PyObject *func, PyObject **args, int nargs, PyObject *kwargs) +_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, + PyObject *kwargs) { PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); PyObject *globals = PyFunction_GET_GLOBALS(func); PyObject *argdefs = PyFunction_GET_DEFAULTS(func); PyObject *kwdefs, *closure, *name, *qualname; + PyObject *kwtuple, **k; PyObject **d; int nd; + Py_ssize_t nk; + PyObject *result; PCALL(PCALL_FUNCTION); PCALL(PCALL_FAST_FUNCTION); - /* issue #27128: support for keywords will come later */ - assert(kwargs == NULL); + assert(kwargs == NULL || PyDict_Check(kwargs)); - if (co->co_kwonlyargcount == 0 && kwargs == NULL && + if (co->co_kwonlyargcount == 0 && + (kwargs == NULL || PyDict_Size(kwargs) == 0) && co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { + /* Fast paths */ if (argdefs == NULL && co->co_argcount == nargs) { return _PyFunction_FastCallNoKw(co, args, nargs, globals); } @@ -4920,6 +4925,30 @@ _PyFunction_FastCall(PyObject *func, PyObject **args, int nargs, PyObject *kwarg } } + if (kwargs != NULL) { + Py_ssize_t pos, i; + nk = PyDict_Size(kwargs); + + kwtuple = PyTuple_New(2 * nk); + if (kwtuple == NULL) { + return NULL; + } + + k = &PyTuple_GET_ITEM(kwtuple, 0); + pos = i = 0; + while (PyDict_Next(kwargs, &pos, &k[i], &k[i+1])) { + Py_INCREF(k[i]); + Py_INCREF(k[i+1]); + i += 2; + } + nk = i / 2; + } + else { + kwtuple = NULL; + k = NULL; + nk = 0; + } + kwdefs = PyFunction_GET_KW_DEFAULTS(func); closure = PyFunction_GET_CLOSURE(func); name = ((PyFunctionObject *)func) -> func_name; @@ -4933,11 +4962,14 @@ _PyFunction_FastCall(PyObject *func, PyObject **args, int nargs, PyObject *kwarg d = NULL; nd = 0; } - return _PyEval_EvalCodeWithName((PyObject*)co, globals, (PyObject *)NULL, - args, nargs, - NULL, 0, - d, nd, kwdefs, - closure, name, qualname); + + result = _PyEval_EvalCodeWithName((PyObject*)co, globals, (PyObject *)NULL, + args, nargs, + k, (int)nk, + d, nd, kwdefs, + closure, name, qualname); + Py_XDECREF(kwtuple); + return result; } static PyObject * -- cgit v1.2.1 From 02a024beaef0a0ae5b8cc2151ba0314fd58f6fe4 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Mon, 22 Aug 2016 23:17:30 +0200 Subject: Issue #27809: Cleanup _PyEval_EvalCodeWithName() * Rename nm to name * PEP 7: add { ... } to if/else blocks --- Python/ceval.c | 28 +++++++++++++--------------- 1 file changed, 13 insertions(+), 15 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index d656fab3ee..9c6593791f 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -3878,28 +3878,28 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, normally interned this should almost always hit. */ co_varnames = ((PyTupleObject *)(co->co_varnames))->ob_item; for (j = 0; j < total_args; j++) { - PyObject *nm = co_varnames[j]; - if (nm == keyword) + PyObject *name = co_varnames[j]; + if (name == keyword) { goto kw_found; + } } /* Slow fallback, just in case */ for (j = 0; j < total_args; j++) { - PyObject *nm = co_varnames[j]; - int cmp = PyObject_RichCompareBool( - keyword, nm, Py_EQ); - if (cmp > 0) + PyObject *name = co_varnames[j]; + int cmp = PyObject_RichCompareBool( keyword, name, Py_EQ); + if (cmp > 0) { goto kw_found; - else if (cmp < 0) + } + else if (cmp < 0) { goto fail; + } } if (j >= total_args && kwdict == NULL) { PyErr_Format(PyExc_TypeError, - "%U() got an unexpected " - "keyword argument '%S'", - co->co_name, - keyword); + "%U() got an unexpected keyword argument '%S'", + co->co_name, keyword); goto fail; } @@ -3911,10 +3911,8 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, kw_found: if (GETLOCAL(j) != NULL) { PyErr_Format(PyExc_TypeError, - "%U() got multiple " - "values for argument '%S'", - co->co_name, - keyword); + "%U() got multiple values for argument '%S'", + co->co_name, keyword); goto fail; } Py_INCREF(value); -- cgit v1.2.1 From 5b00c5b38cada10df9f78640f356476cc6e6dc7f Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Mon, 22 Aug 2016 23:21:55 +0200 Subject: Issue #27809: Use _PyObject_FastCallDict() Modify: * builtin_sorted() * classmethoddescr_call() * methoddescr_call() * wrapperdescr_call() --- Python/bltinmodule.c | 15 +++++---------- 1 file changed, 5 insertions(+), 10 deletions(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index 220c92ddc5..1cdc0e2563 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -2087,10 +2087,11 @@ PyDoc_STRVAR(builtin_sorted__doc__, static PyObject * builtin_sorted(PyObject *self, PyObject *args, PyObject *kwds) { - PyObject *newlist, *v, *seq, *keyfunc=NULL, *newargs; + PyObject *newlist, *v, *seq, *keyfunc=NULL, **newargs; PyObject *callable; static char *kwlist[] = {"iterable", "key", "reverse", 0}; int reverse; + int nargs; /* args 1-3 should match listsort in Objects/listobject.c */ if (!PyArg_ParseTupleAndKeywords(args, kwds, "O|Oi:sorted", @@ -2107,15 +2108,9 @@ builtin_sorted(PyObject *self, PyObject *args, PyObject *kwds) return NULL; } - newargs = PyTuple_GetSlice(args, 1, 4); - if (newargs == NULL) { - Py_DECREF(newlist); - Py_DECREF(callable); - return NULL; - } - - v = PyObject_Call(callable, newargs, kwds); - Py_DECREF(newargs); + newargs = &PyTuple_GET_ITEM(args, 1); + nargs = PyTuple_GET_SIZE(args) - 1; + v = _PyObject_FastCallDict(callable, newargs, nargs, kwds); Py_DECREF(callable); if (v == NULL) { Py_DECREF(newlist); -- cgit v1.2.1 From 947bc084fc2339a44e3f55169653edd8bd17c248 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Mon, 22 Aug 2016 23:26:00 +0200 Subject: PyEval_CallObjectWithKeywords() uses fast call with kwargs Issue #27809. _PyObject_FastCallDict() now supports keyword arguments, and so the args==NULL fast-path can also be used when kwargs is not NULL. --- Python/ceval.c | 16 ++++------------ 1 file changed, 4 insertions(+), 12 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 9c6593791f..fd456ceed1 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -4590,30 +4590,22 @@ PyEval_CallObjectWithKeywords(PyObject *func, PyObject *args, PyObject *kwargs) #endif if (args == NULL) { - if (kwargs == NULL) { - return _PyObject_CallNoArg(func); - } - - args = PyTuple_New(0); - if (args == NULL) - return NULL; + return _PyObject_FastCallDict(func, NULL, 0, kwargs); } - else if (!PyTuple_Check(args)) { + + if (!PyTuple_Check(args)) { PyErr_SetString(PyExc_TypeError, "argument list must be a tuple"); return NULL; } - else { - Py_INCREF(args); - } if (kwargs != NULL && !PyDict_Check(kwargs)) { PyErr_SetString(PyExc_TypeError, "keyword list must be a dictionary"); - Py_DECREF(args); return NULL; } + Py_INCREF(args); result = PyObject_Call(func, args, kwargs); Py_DECREF(args); -- cgit v1.2.1 From 04ca689091773fa19c16bcacfccae2914e3fae56 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Mon, 22 Aug 2016 23:33:13 +0200 Subject: Issue #27809: Use _PyObject_FastCallDict() Modify: * init_subclass() * builtin___build_class__() Fix also a bug in init_subclass(): check for super() failure. --- Python/bltinmodule.c | 12 ++---------- 1 file changed, 2 insertions(+), 10 deletions(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index 1cdc0e2563..b22867eb07 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -155,16 +155,8 @@ builtin___build_class__(PyObject *self, PyObject *args, PyObject *kwds) } } else { - PyObject *pargs = PyTuple_Pack(2, name, bases); - if (pargs == NULL) { - Py_DECREF(prep); - Py_DECREF(meta); - Py_XDECREF(mkw); - Py_DECREF(bases); - return NULL; - } - ns = PyEval_CallObjectWithKeywords(prep, pargs, mkw); - Py_DECREF(pargs); + PyObject *pargs[2] = {name, bases}; + ns = _PyObject_FastCallDict(prep, pargs, 2, mkw); Py_DECREF(prep); } if (ns == NULL) { -- cgit v1.2.1 From 9023e576b75ac630835d9140f2a2b60ec2e00c04 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Mon, 22 Aug 2016 23:59:08 +0200 Subject: Add _PyErr_CreateException() Issue #27809: Helper function optimized to create an exception: use fastcall whenever possible. --- Python/errors.c | 59 ++++++++++++++++++++++++++++----------------------------- 1 file changed, 29 insertions(+), 30 deletions(-) (limited to 'Python') diff --git a/Python/errors.c b/Python/errors.c index e151cab17c..956e4fa583 100644 --- a/Python/errors.c +++ b/Python/errors.c @@ -52,6 +52,20 @@ PyErr_Restore(PyObject *type, PyObject *value, PyObject *traceback) Py_XDECREF(oldtraceback); } +static PyObject* +_PyErr_CreateException(PyObject *exception, PyObject *value) +{ + if (value == NULL || value == Py_None) { + return _PyObject_CallNoArg(exception); + } + else if (PyTuple_Check(value)) { + return PyObject_Call(exception, value, NULL); + } + else { + return _PyObject_CallArg1(exception, value); + } +} + void PyErr_SetObject(PyObject *exception, PyObject *value) { @@ -66,6 +80,7 @@ PyErr_SetObject(PyObject *exception, PyObject *value) exception); return; } + Py_XINCREF(value); exc_value = tstate->exc_value; if (exc_value != NULL && exc_value != Py_None) { @@ -73,28 +88,21 @@ PyErr_SetObject(PyObject *exception, PyObject *value) Py_INCREF(exc_value); if (value == NULL || !PyExceptionInstance_Check(value)) { /* We must normalize the value right now */ - PyObject *args, *fixed_value; + PyObject *fixed_value; - /* Issue #23571: PyEval_CallObject() must not be called with an + /* Issue #23571: functions must not be called with an exception set */ PyErr_Clear(); - if (value == NULL || value == Py_None) - args = PyTuple_New(0); - else if (PyTuple_Check(value)) { - Py_INCREF(value); - args = value; - } - else - args = PyTuple_Pack(1, value); - fixed_value = args ? - PyEval_CallObject(exception, args) : NULL; - Py_XDECREF(args); + fixed_value = _PyErr_CreateException(exception, value); Py_XDECREF(value); - if (fixed_value == NULL) + if (fixed_value == NULL) { return; + } + value = fixed_value; } + /* Avoid reference cycles through the context chain. This is O(chain length) but context chains are usually very short. Sensitive readers may try @@ -110,7 +118,8 @@ PyErr_SetObject(PyObject *exception, PyObject *value) o = context; } PyException_SetContext(value, exc_value); - } else { + } + else { Py_DECREF(exc_value); } } @@ -258,25 +267,15 @@ PyErr_NormalizeException(PyObject **exc, PyObject **val, PyObject **tb) class. */ if (!inclass || !is_subclass) { - PyObject *args, *res; + PyObject *fixed_value; - if (value == Py_None) - args = PyTuple_New(0); - else if (PyTuple_Check(value)) { - Py_INCREF(value); - args = value; + fixed_value = _PyErr_CreateException(type, value); + if (fixed_value == NULL) { + goto finally; } - else - args = PyTuple_Pack(1, value); - if (args == NULL) - goto finally; - res = PyEval_CallObject(type, args); - Py_DECREF(args); - if (res == NULL) - goto finally; Py_DECREF(value); - value = res; + value = fixed_value; } /* if the class of the instance doesn't exactly match the class of the type, believe the instance -- cgit v1.2.1 From b35603f9f15c1060eb903181324a26ce20336cc4 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Tue, 23 Aug 2016 00:04:41 +0200 Subject: Issue #27809: PyErr_SetImportError() uses fast call --- Python/errors.c | 22 ++++++++-------------- 1 file changed, 8 insertions(+), 14 deletions(-) (limited to 'Python') diff --git a/Python/errors.c b/Python/errors.c index 956e4fa583..e6285e8b3b 100644 --- a/Python/errors.c +++ b/Python/errors.c @@ -699,18 +699,14 @@ PyObject *PyErr_SetFromWindowsErrWithUnicodeFilename( PyObject * PyErr_SetImportError(PyObject *msg, PyObject *name, PyObject *path) { - PyObject *args, *kwargs, *error; + PyObject *kwargs, *error; - if (msg == NULL) - return NULL; - - args = PyTuple_New(1); - if (args == NULL) + if (msg == NULL) { return NULL; + } kwargs = PyDict_New(); if (kwargs == NULL) { - Py_DECREF(args); return NULL; } @@ -722,22 +718,20 @@ PyErr_SetImportError(PyObject *msg, PyObject *name, PyObject *path) path = Py_None; } - Py_INCREF(msg); - PyTuple_SET_ITEM(args, 0, msg); - - if (PyDict_SetItemString(kwargs, "name", name) < 0) + if (PyDict_SetItemString(kwargs, "name", name) < 0) { goto done; - if (PyDict_SetItemString(kwargs, "path", path) < 0) + } + if (PyDict_SetItemString(kwargs, "path", path) < 0) { goto done; + } - error = PyObject_Call(PyExc_ImportError, args, kwargs); + error = _PyObject_FastCallDict(PyExc_ImportError, &msg, 1, kwargs); if (error != NULL) { PyErr_SetObject((PyObject *)Py_TYPE(error), error); Py_DECREF(error); } done: - Py_DECREF(args); Py_DECREF(kwargs); return NULL; } -- cgit v1.2.1 From 2106b8b6a210490c36471334570461db73cfddee Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Tue, 23 Aug 2016 00:25:01 +0200 Subject: PyEval_CallObjectWithKeywords() doesn't inc/decref Issue #27809: PyEval_CallObjectWithKeywords() doesn't increment temporary the reference counter of the args tuple (positional arguments). The caller already holds a strong reference to it. --- Python/ceval.c | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index fd456ceed1..f9759f0f70 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -4580,8 +4580,6 @@ PyEval_MergeCompilerFlags(PyCompilerFlags *cf) PyObject * PyEval_CallObjectWithKeywords(PyObject *func, PyObject *args, PyObject *kwargs) { - PyObject *result; - #ifdef Py_DEBUG /* PyEval_CallObjectWithKeywords() must not be called with an exception set. It raises a new exception if parameters are invalid or if @@ -4605,11 +4603,7 @@ PyEval_CallObjectWithKeywords(PyObject *func, PyObject *args, PyObject *kwargs) return NULL; } - Py_INCREF(args); - result = PyObject_Call(func, args, kwargs); - Py_DECREF(args); - - return result; + return PyObject_Call(func, args, kwargs); } const char * -- cgit v1.2.1 From d86599444bdef5e88d1154b487ea1f011181ae30 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Tue, 23 Aug 2016 01:34:35 +0200 Subject: Issue #27809: builtin___build_class__() uses fast call --- Python/bltinmodule.c | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index b22867eb07..00a85b5741 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -169,12 +169,8 @@ builtin___build_class__(PyObject *self, PyObject *args, PyObject *kwds) NULL, 0, NULL, 0, NULL, 0, NULL, PyFunction_GET_CLOSURE(func)); if (cell != NULL) { - PyObject *margs; - margs = PyTuple_Pack(3, name, bases, ns); - if (margs != NULL) { - cls = PyEval_CallObjectWithKeywords(meta, margs, mkw); - Py_DECREF(margs); - } + PyObject *margs[3] = {name, bases, ns}; + cls = _PyObject_FastCallDict(meta, margs, 3, mkw); if (cls != NULL && PyCell_Check(cell)) PyCell_Set(cell, cls); Py_DECREF(cell); -- cgit v1.2.1 From 518c04ccd4d3b1d2b85d8ba7e62534cac0a2bbb7 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Tue, 23 Aug 2016 17:56:06 +0200 Subject: Issue #27809: map_next() uses fast call Use a small stack allocated in the C stack for up to 5 iterator functions, otherwise allocates a stack on the heap memory. --- Python/bltinmodule.c | 46 +++++++++++++++++++++++++++++++--------------- 1 file changed, 31 insertions(+), 15 deletions(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index 00a85b5741..a77dfe84c1 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -1156,27 +1156,43 @@ map_traverse(mapobject *lz, visitproc visit, void *arg) static PyObject * map_next(mapobject *lz) { - PyObject *val; - PyObject *argtuple; - PyObject *result; - Py_ssize_t numargs, i; + PyObject *small_stack[5]; + PyObject **stack; + Py_ssize_t niters, nargs, i; + PyObject *result = NULL; - numargs = PyTuple_GET_SIZE(lz->iters); - argtuple = PyTuple_New(numargs); - if (argtuple == NULL) - return NULL; + niters = PyTuple_GET_SIZE(lz->iters); + if (niters <= (Py_ssize_t)Py_ARRAY_LENGTH(small_stack)) { + stack = small_stack; + } + else { + stack = PyMem_Malloc(niters * sizeof(PyObject*)); + if (stack == NULL) { + PyErr_NoMemory(); + return NULL; + } + } - for (i=0 ; iiters, i); - val = Py_TYPE(it)->tp_iternext(it); + PyObject *val = Py_TYPE(it)->tp_iternext(it); if (val == NULL) { - Py_DECREF(argtuple); - return NULL; + goto exit; } - PyTuple_SET_ITEM(argtuple, i, val); + stack[i] = val; + nargs++; + } + + result = _PyObject_FastCall(lz->func, stack, nargs); + +exit: + for (i=0; i < nargs; i++) { + Py_DECREF(stack[i]); + } + if (stack != small_stack) { + PyMem_Free(stack); } - result = PyObject_Call(lz->func, argtuple, NULL); - Py_DECREF(argtuple); return result; } -- cgit v1.2.1 From cbc99d213fb9a8a647041680e08ac19deb51daf7 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Wed, 24 Aug 2016 00:54:47 +0200 Subject: Backed out changeset 70f88b097f60 (map_next) --- Python/bltinmodule.c | 46 +++++++++++++++------------------------------- 1 file changed, 15 insertions(+), 31 deletions(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index a77dfe84c1..00a85b5741 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -1156,43 +1156,27 @@ map_traverse(mapobject *lz, visitproc visit, void *arg) static PyObject * map_next(mapobject *lz) { - PyObject *small_stack[5]; - PyObject **stack; - Py_ssize_t niters, nargs, i; - PyObject *result = NULL; + PyObject *val; + PyObject *argtuple; + PyObject *result; + Py_ssize_t numargs, i; - niters = PyTuple_GET_SIZE(lz->iters); - if (niters <= (Py_ssize_t)Py_ARRAY_LENGTH(small_stack)) { - stack = small_stack; - } - else { - stack = PyMem_Malloc(niters * sizeof(PyObject*)); - if (stack == NULL) { - PyErr_NoMemory(); - return NULL; - } - } + numargs = PyTuple_GET_SIZE(lz->iters); + argtuple = PyTuple_New(numargs); + if (argtuple == NULL) + return NULL; - nargs = 0; - for (i=0; i < niters; i++) { + for (i=0 ; iiters, i); - PyObject *val = Py_TYPE(it)->tp_iternext(it); + val = Py_TYPE(it)->tp_iternext(it); if (val == NULL) { - goto exit; + Py_DECREF(argtuple); + return NULL; } - stack[i] = val; - nargs++; - } - - result = _PyObject_FastCall(lz->func, stack, nargs); - -exit: - for (i=0; i < nargs; i++) { - Py_DECREF(stack[i]); - } - if (stack != small_stack) { - PyMem_Free(stack); + PyTuple_SET_ITEM(argtuple, i, val); } + result = PyObject_Call(lz->func, argtuple, NULL); + Py_DECREF(argtuple); return result; } -- cgit v1.2.1 From c499f0ba2c5dc311729af350a85666d1d136c8f0 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Wed, 24 Aug 2016 01:45:13 +0200 Subject: Issue #27809: map_next() uses fast call Use a small stack allocated in the C stack for up to 5 iterator functions, otherwise allocates a stack on the heap memory. --- Python/bltinmodule.c | 46 +++++++++++++++++++++++++++++++--------------- 1 file changed, 31 insertions(+), 15 deletions(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index 00a85b5741..121cbb7f3d 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -1156,27 +1156,43 @@ map_traverse(mapobject *lz, visitproc visit, void *arg) static PyObject * map_next(mapobject *lz) { - PyObject *val; - PyObject *argtuple; - PyObject *result; - Py_ssize_t numargs, i; + PyObject *small_stack[5]; + PyObject **stack; + Py_ssize_t niters, nargs, i; + PyObject *result = NULL; - numargs = PyTuple_GET_SIZE(lz->iters); - argtuple = PyTuple_New(numargs); - if (argtuple == NULL) - return NULL; + niters = PyTuple_GET_SIZE(lz->iters); + if (niters <= (Py_ssize_t)Py_ARRAY_LENGTH(small_stack)) { + stack = small_stack; + } + else { + stack = PyMem_Malloc(niters * sizeof(stack[0])); + if (stack == NULL) { + PyErr_NoMemory(); + return NULL; + } + } - for (i=0 ; iiters, i); - val = Py_TYPE(it)->tp_iternext(it); + PyObject *val = Py_TYPE(it)->tp_iternext(it); if (val == NULL) { - Py_DECREF(argtuple); - return NULL; + goto exit; } - PyTuple_SET_ITEM(argtuple, i, val); + stack[i] = val; + nargs++; + } + + result = _PyObject_FastCall(lz->func, stack, nargs); + +exit: + for (i=0; i < nargs; i++) { + Py_DECREF(stack[i]); + } + if (stack != small_stack) { + PyMem_Free(stack); } - result = PyObject_Call(lz->func, argtuple, NULL); - Py_DECREF(argtuple); return result; } -- cgit v1.2.1 From c79e5123bcf2d1e514a0420e89c62fa334d57ba9 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Thu, 25 Aug 2016 00:04:09 +0200 Subject: Use Py_ssize_t type for number of arguments Issue #27848: use Py_ssize_t rather than C int for the number of function positional and keyword arguments. --- Python/bltinmodule.c | 2 +- Python/ceval.c | 197 +++++++++++++++++++++++++++++---------------------- 2 files changed, 115 insertions(+), 84 deletions(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index 121cbb7f3d..bf671903ed 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -2095,7 +2095,7 @@ builtin_sorted(PyObject *self, PyObject *args, PyObject *kwds) PyObject *callable; static char *kwlist[] = {"iterable", "key", "reverse", 0}; int reverse; - int nargs; + Py_ssize_t nargs; /* args 1-3 should match listsort in Objects/listobject.c */ if (!PyArg_ParseTupleAndKeywords(args, kwds, "O|Oi:sorted", diff --git a/Python/ceval.c b/Python/ceval.c index f9759f0f70..b082760d3f 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -113,13 +113,13 @@ static PyObject * call_function(PyObject ***, int, uint64*, uint64*); #else static PyObject * call_function(PyObject ***, int); #endif -static PyObject * fast_function(PyObject *, PyObject **, int, int, int); -static PyObject * do_call(PyObject *, PyObject ***, int, int); -static PyObject * ext_do_call(PyObject *, PyObject ***, int, int, int); -static PyObject * update_keyword_args(PyObject *, int, PyObject ***, +static PyObject * fast_function(PyObject *, PyObject **, Py_ssize_t, Py_ssize_t); +static PyObject * do_call(PyObject *, PyObject ***, Py_ssize_t, Py_ssize_t); +static PyObject * ext_do_call(PyObject *, PyObject ***, int, Py_ssize_t, Py_ssize_t); +static PyObject * update_keyword_args(PyObject *, Py_ssize_t, PyObject ***, PyObject *); -static PyObject * update_star_args(int, int, PyObject *, PyObject ***); -static PyObject * load_args(PyObject ***, int); +static PyObject * update_star_args(Py_ssize_t, Py_ssize_t, PyObject *, PyObject ***); +static PyObject * load_args(PyObject ***, Py_ssize_t); #define CALL_FLAG_VAR 1 #define CALL_FLAG_KW 2 @@ -2558,7 +2558,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) TARGET(BUILD_TUPLE_UNPACK) TARGET(BUILD_LIST_UNPACK) { int convert_to_tuple = opcode == BUILD_TUPLE_UNPACK; - int i; + Py_ssize_t i; PyObject *sum = PyList_New(0); PyObject *return_value; if (sum == NULL) @@ -2611,7 +2611,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) } TARGET(BUILD_SET_UNPACK) { - int i; + Py_ssize_t i; PyObject *sum = PySet_New(NULL); if (sum == NULL) goto error; @@ -2630,7 +2630,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) } TARGET(BUILD_MAP) { - int i; + Py_ssize_t i; PyObject *map = _PyDict_NewPresized((Py_ssize_t)oparg); if (map == NULL) goto error; @@ -2654,7 +2654,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) } TARGET(BUILD_CONST_KEY_MAP) { - int i; + Py_ssize_t i; PyObject *map; PyObject *keys = TOP(); if (!PyTuple_CheckExact(keys) || @@ -2691,7 +2691,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) int with_call = opcode == BUILD_MAP_UNPACK_WITH_CALL; int num_maps; int function_location; - int i; + Py_ssize_t i; PyObject *sum = PyDict_New(); if (sum == NULL) goto error; @@ -3265,16 +3265,20 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) TARGET(CALL_FUNCTION_VAR) TARGET(CALL_FUNCTION_KW) TARGET(CALL_FUNCTION_VAR_KW) { - int na = oparg & 0xff; - int nk = (oparg>>8) & 0xff; + Py_ssize_t nargs = oparg & 0xff; + Py_ssize_t nkwargs = (oparg>>8) & 0xff; int flags = (opcode - CALL_FUNCTION) & 3; - int n = na + 2 * nk; + Py_ssize_t n; PyObject **pfunc, *func, **sp, *res; PCALL(PCALL_ALL); - if (flags & CALL_FLAG_VAR) + + n = nargs + 2 * nkwargs; + if (flags & CALL_FLAG_VAR) { n++; - if (flags & CALL_FLAG_KW) + } + if (flags & CALL_FLAG_KW) { n++; + } pfunc = stack_pointer - n - 1; func = *pfunc; @@ -3285,13 +3289,14 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) func = PyMethod_GET_FUNCTION(func); Py_INCREF(func); Py_SETREF(*pfunc, self); - na++; - /* n++; */ - } else + nargs++; + } + else { Py_INCREF(func); + } sp = stack_pointer; READ_TIMESTAMP(intr0); - res = ext_do_call(func, &sp, flags, na, nk); + res = ext_do_call(func, &sp, flags, nargs, nkwargs); READ_TIMESTAMP(intr1); stack_pointer = sp; Py_DECREF(func); @@ -3579,9 +3584,11 @@ fast_yield: state came into existence in this frame. (An uncaught exception would have why == WHY_EXCEPTION, and we wouldn't be here). */ int i; - for (i = 0; i < f->f_iblock; i++) - if (f->f_blockstack[i].b_type == EXCEPT_HANDLER) + for (i = 0; i < f->f_iblock; i++) { + if (f->f_blockstack[i].b_type == EXCEPT_HANDLER) { break; + } + } if (i == f->f_iblock) /* We did not create this exception. */ restore_and_clear_exc_state(tstate, f); @@ -3692,12 +3699,12 @@ format_missing(const char *kind, PyCodeObject *co, PyObject *names) } static void -missing_arguments(PyCodeObject *co, int missing, int defcount, +missing_arguments(PyCodeObject *co, Py_ssize_t missing, Py_ssize_t defcount, PyObject **fastlocals) { - int i, j = 0; - int start, end; - int positional = defcount != -1; + Py_ssize_t i, j = 0; + Py_ssize_t start, end; + int positional = (defcount != -1); const char *kind = positional ? "positional" : "keyword-only"; PyObject *missing_names; @@ -3730,33 +3737,39 @@ missing_arguments(PyCodeObject *co, int missing, int defcount, } static void -too_many_positional(PyCodeObject *co, int given, int defcount, PyObject **fastlocals) +too_many_positional(PyCodeObject *co, Py_ssize_t given, Py_ssize_t defcount, + PyObject **fastlocals) { int plural; - int kwonly_given = 0; - int i; + Py_ssize_t kwonly_given = 0; + Py_ssize_t i; PyObject *sig, *kwonly_sig; + Py_ssize_t co_argcount = co->co_argcount; assert((co->co_flags & CO_VARARGS) == 0); /* Count missing keyword-only args. */ - for (i = co->co_argcount; i < co->co_argcount + co->co_kwonlyargcount; i++) - if (GETLOCAL(i) != NULL) + for (i = co_argcount; i < co_argcount + co->co_kwonlyargcount; i++) { + if (GETLOCAL(i) != NULL) { kwonly_given++; + } + } if (defcount) { - int atleast = co->co_argcount - defcount; + Py_ssize_t atleast = co_argcount - defcount; plural = 1; - sig = PyUnicode_FromFormat("from %d to %d", atleast, co->co_argcount); + sig = PyUnicode_FromFormat("from %zd to %zd", atleast, co_argcount); } else { - plural = co->co_argcount != 1; - sig = PyUnicode_FromFormat("%d", co->co_argcount); + plural = (co_argcount != 1); + sig = PyUnicode_FromFormat("%zd", co_argcount); } if (sig == NULL) return; if (kwonly_given) { - const char *format = " positional argument%s (and %d keyword-only argument%s)"; - kwonly_sig = PyUnicode_FromFormat(format, given != 1 ? "s" : "", kwonly_given, - kwonly_given != 1 ? "s" : ""); + const char *format = " positional argument%s (and %zd keyword-only argument%s)"; + kwonly_sig = PyUnicode_FromFormat(format, + given != 1 ? "s" : "", + kwonly_given, + kwonly_given != 1 ? "s" : ""); if (kwonly_sig == NULL) { Py_DECREF(sig); return; @@ -3768,7 +3781,7 @@ too_many_positional(PyCodeObject *co, int given, int defcount, PyObject **fastlo assert(kwonly_sig != NULL); } PyErr_Format(PyExc_TypeError, - "%U() takes %U positional argument%s but %d%U %s given", + "%U() takes %U positional argument%s but %zd%U %s given", co->co_name, sig, plural ? "s" : "", @@ -3786,8 +3799,10 @@ too_many_positional(PyCodeObject *co, int given, int defcount, PyObject **fastlo static PyObject * _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, - PyObject **args, int argcount, PyObject **kws, int kwcount, - PyObject **defs, int defcount, PyObject *kwdefs, PyObject *closure, + PyObject **args, Py_ssize_t argcount, + PyObject **kws, Py_ssize_t kwcount, + PyObject **defs, Py_ssize_t defcount, + PyObject *kwdefs, PyObject *closure, PyObject *name, PyObject *qualname) { PyCodeObject* co = (PyCodeObject*)_co; @@ -4633,16 +4648,16 @@ PyEval_GetFuncDesc(PyObject *func) } static void -err_args(PyObject *func, int flags, int nargs) +err_args(PyObject *func, int flags, Py_ssize_t nargs) { if (flags & METH_NOARGS) PyErr_Format(PyExc_TypeError, - "%.200s() takes no arguments (%d given)", + "%.200s() takes no arguments (%zd given)", ((PyCFunctionObject *)func)->m_ml->ml_name, nargs); else PyErr_Format(PyExc_TypeError, - "%.200s() takes exactly one argument (%d given)", + "%.200s() takes exactly one argument (%zd given)", ((PyCFunctionObject *)func)->m_ml->ml_name, nargs); } @@ -4685,9 +4700,9 @@ call_function(PyObject ***pp_stack, int oparg #endif ) { - int na = oparg & 0xff; - int nk = (oparg>>8) & 0xff; - int n = na + 2 * nk; + Py_ssize_t nargs = oparg & 0xff; + Py_ssize_t nkwargs = (oparg>>8) & 0xff; + int n = nargs + 2 * nkwargs; PyObject **pfunc = (*pp_stack) - n - 1; PyObject *func = *pfunc; PyObject *x, *w; @@ -4695,7 +4710,7 @@ call_function(PyObject ***pp_stack, int oparg /* Always dispatch PyCFunction first, because these are presumed to be the most frequent callable object. */ - if (PyCFunction_Check(func) && nk == 0) { + if (PyCFunction_Check(func) && nkwargs == 0) { int flags = PyCFunction_GET_FLAGS(func); PyThreadState *tstate = PyThreadState_GET(); @@ -4703,12 +4718,12 @@ call_function(PyObject ***pp_stack, int oparg if (flags & (METH_NOARGS | METH_O)) { PyCFunction meth = PyCFunction_GET_FUNCTION(func); PyObject *self = PyCFunction_GET_SELF(func); - if (flags & METH_NOARGS && na == 0) { + if (flags & METH_NOARGS && nargs == 0) { C_TRACE(x, (*meth)(self,NULL)); x = _Py_CheckFunctionResult(func, x, NULL); } - else if (flags & METH_O && na == 1) { + else if (flags & METH_O && nargs == 1) { PyObject *arg = EXT_POP(*pp_stack); C_TRACE(x, (*meth)(self,arg)); Py_DECREF(arg); @@ -4716,13 +4731,13 @@ call_function(PyObject ***pp_stack, int oparg x = _Py_CheckFunctionResult(func, x, NULL); } else { - err_args(func, flags, na); + err_args(func, flags, nargs); x = NULL; } } else { PyObject *callargs; - callargs = load_args(pp_stack, na); + callargs = load_args(pp_stack, nargs); if (callargs != NULL) { READ_TIMESTAMP(*pintr0); C_TRACE(x, PyCFunction_Call(func,callargs,NULL)); @@ -4744,16 +4759,18 @@ call_function(PyObject ***pp_stack, int oparg func = PyMethod_GET_FUNCTION(func); Py_INCREF(func); Py_SETREF(*pfunc, self); - na++; + nargs++; n++; - } else + } + else { Py_INCREF(func); + } READ_TIMESTAMP(*pintr0); if (PyFunction_Check(func)) { - x = fast_function(func, (*pp_stack) - n, n, na, nk); + x = fast_function(func, (*pp_stack) - n, nargs, nkwargs); } else { - x = do_call(func, pp_stack, na, nk); + x = do_call(func, pp_stack, nargs, nkwargs); } READ_TIMESTAMP(*pintr1); Py_DECREF(func); @@ -4785,7 +4802,7 @@ call_function(PyObject ***pp_stack, int oparg */ static PyObject* -_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, +_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t nargs, PyObject *globals) { PyFrameObject *f; @@ -4808,7 +4825,7 @@ _PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, fastlocals = f->f_localsplus; - for (i = 0; i < na; i++) { + for (i = 0; i < nargs; i++) { Py_INCREF(*args); fastlocals[i] = *args++; } @@ -4824,7 +4841,7 @@ _PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t na, /* Similar to _PyFunction_FastCall() but keywords are passed a (key, value) pairs in stack */ static PyObject * -fast_function(PyObject *func, PyObject **stack, int n, int nargs, int nk) +fast_function(PyObject *func, PyObject **stack, Py_ssize_t nargs, Py_ssize_t nkwargs) { PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); PyObject *globals = PyFunction_GET_GLOBALS(func); @@ -4836,7 +4853,7 @@ fast_function(PyObject *func, PyObject **stack, int n, int nargs, int nk) PCALL(PCALL_FUNCTION); PCALL(PCALL_FAST_FUNCTION); - if (co->co_kwonlyargcount == 0 && nk == 0 && + if (co->co_kwonlyargcount == 0 && nkwargs == 0 && co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { if (argdefs == NULL && co->co_argcount == nargs) { @@ -4867,13 +4884,13 @@ fast_function(PyObject *func, PyObject **stack, int n, int nargs, int nk) } return _PyEval_EvalCodeWithName((PyObject*)co, globals, (PyObject *)NULL, stack, nargs, - stack + nargs, nk, + stack + nargs, nkwargs, d, nd, kwdefs, closure, name, qualname); } PyObject * -_PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, +_PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) { PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); @@ -4882,13 +4899,15 @@ _PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, PyObject *kwdefs, *closure, *name, *qualname; PyObject *kwtuple, **k; PyObject **d; - int nd; - Py_ssize_t nk; + Py_ssize_t nd, nk; PyObject *result; PCALL(PCALL_FUNCTION); PCALL(PCALL_FAST_FUNCTION); + assert(func != NULL); + assert(nargs >= 0); + assert(nargs == 0 || args != NULL); assert(kwargs == NULL || PyDict_Check(kwargs)); if (co->co_kwonlyargcount == 0 && @@ -4949,7 +4968,7 @@ _PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, result = _PyEval_EvalCodeWithName((PyObject*)co, globals, (PyObject *)NULL, args, nargs, - k, (int)nk, + k, nk, d, nd, kwdefs, closure, name, qualname); Py_XDECREF(kwtuple); @@ -4957,7 +4976,7 @@ _PyFunction_FastCallDict(PyObject *func, PyObject **args, int nargs, } static PyObject * -update_keyword_args(PyObject *orig_kwdict, int nk, PyObject ***pp_stack, +update_keyword_args(PyObject *orig_kwdict, Py_ssize_t nk, PyObject ***pp_stack, PyObject *func) { PyObject *kwdict = NULL; @@ -4997,7 +5016,7 @@ update_keyword_args(PyObject *orig_kwdict, int nk, PyObject ***pp_stack, } static PyObject * -update_star_args(int nstack, int nstar, PyObject *stararg, +update_star_args(Py_ssize_t nstack, Py_ssize_t nstar, PyObject *stararg, PyObject ***pp_stack) { PyObject *callargs, *w; @@ -5021,14 +5040,16 @@ update_star_args(int nstack, int nstar, PyObject *stararg, if (callargs == NULL) { return NULL; } + if (nstar) { - int i; + Py_ssize_t i; for (i = 0; i < nstar; i++) { - PyObject *a = PyTuple_GET_ITEM(stararg, i); - Py_INCREF(a); - PyTuple_SET_ITEM(callargs, nstack + i, a); + PyObject *arg = PyTuple_GET_ITEM(stararg, i); + Py_INCREF(arg); + PyTuple_SET_ITEM(callargs, nstack + i, arg); } } + while (--nstack >= 0) { w = EXT_POP(*pp_stack); PyTuple_SET_ITEM(callargs, nstack, w); @@ -5037,7 +5058,7 @@ update_star_args(int nstack, int nstar, PyObject *stararg, } static PyObject * -load_args(PyObject ***pp_stack, int na) +load_args(PyObject ***pp_stack, Py_ssize_t na) { PyObject *args = PyTuple_New(na); PyObject *w; @@ -5052,18 +5073,18 @@ load_args(PyObject ***pp_stack, int na) } static PyObject * -do_call(PyObject *func, PyObject ***pp_stack, int na, int nk) +do_call(PyObject *func, PyObject ***pp_stack, Py_ssize_t nargs, Py_ssize_t nkwargs) { PyObject *callargs = NULL; PyObject *kwdict = NULL; PyObject *result = NULL; - if (nk > 0) { - kwdict = update_keyword_args(NULL, nk, pp_stack, func); + if (nkwargs > 0) { + kwdict = update_keyword_args(NULL, nkwargs, pp_stack, func); if (kwdict == NULL) goto call_fail; } - callargs = load_args(pp_stack, na); + callargs = load_args(pp_stack, nargs); if (callargs == NULL) goto call_fail; #ifdef CALL_PROFILE @@ -5095,9 +5116,10 @@ call_fail: } static PyObject * -ext_do_call(PyObject *func, PyObject ***pp_stack, int flags, int na, int nk) +ext_do_call(PyObject *func, PyObject ***pp_stack, int flags, + Py_ssize_t nargs, Py_ssize_t nkwargs) { - int nstar = 0; + Py_ssize_t nstar; PyObject *callargs = NULL; PyObject *stararg = NULL; PyObject *kwdict = NULL; @@ -5132,8 +5154,9 @@ ext_do_call(PyObject *func, PyObject ***pp_stack, int flags, int na, int nk) kwdict = d; } } - if (nk > 0) { - kwdict = update_keyword_args(kwdict, nk, pp_stack, func); + + if (nkwargs > 0) { + kwdict = update_keyword_args(kwdict, nkwargs, pp_stack, func); if (kwdict == NULL) goto ext_call_fail; } @@ -5161,9 +5184,15 @@ ext_do_call(PyObject *func, PyObject ***pp_stack, int flags, int na, int nk) } nstar = PyTuple_GET_SIZE(stararg); } - callargs = update_star_args(na, nstar, stararg, pp_stack); - if (callargs == NULL) + else { + nstar = 0; + } + + callargs = update_star_args(nargs, nstar, stararg, pp_stack); + if (callargs == NULL) { goto ext_call_fail; + } + #ifdef CALL_PROFILE /* At this point, we have to look at the type of func to update the call stats properly. Do it here so as to avoid @@ -5184,8 +5213,10 @@ ext_do_call(PyObject *func, PyObject ***pp_stack, int flags, int na, int nk) PyThreadState *tstate = PyThreadState_GET(); C_TRACE(result, PyCFunction_Call(func, callargs, kwdict)); } - else + else { result = PyObject_Call(func, callargs, kwdict); + } + ext_call_fail: Py_XDECREF(callargs); Py_XDECREF(kwdict); -- cgit v1.2.1 From 5f2acb2c1a143794ef61db34590ceee4b2d89680 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Thu, 25 Aug 2016 00:29:32 +0200 Subject: Add _PyObject_FastCallKeywords() Issue #27830: Similar to _PyObject_FastCallDict(), but keyword arguments are also passed in the same C array than positional arguments, rather than being passed as a Python dict. --- Python/ceval.c | 23 ++++++++++++++--------- 1 file changed, 14 insertions(+), 9 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index b082760d3f..266b987b4c 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -113,7 +113,6 @@ static PyObject * call_function(PyObject ***, int, uint64*, uint64*); #else static PyObject * call_function(PyObject ***, int); #endif -static PyObject * fast_function(PyObject *, PyObject **, Py_ssize_t, Py_ssize_t); static PyObject * do_call(PyObject *, PyObject ***, Py_ssize_t, Py_ssize_t); static PyObject * ext_do_call(PyObject *, PyObject ***, int, Py_ssize_t, Py_ssize_t); static PyObject * update_keyword_args(PyObject *, Py_ssize_t, PyObject ***, @@ -4767,7 +4766,7 @@ call_function(PyObject ***pp_stack, int oparg } READ_TIMESTAMP(*pintr0); if (PyFunction_Check(func)) { - x = fast_function(func, (*pp_stack) - n, nargs, nkwargs); + x = _PyFunction_FastCallKeywords(func, (*pp_stack) - n, nargs, nkwargs); } else { x = do_call(func, pp_stack, nargs, nkwargs); @@ -4780,7 +4779,7 @@ call_function(PyObject ***pp_stack, int oparg /* Clear the stack of the function object. Also removes the arguments in case they weren't consumed already - (fast_function() and err_args() leave them on the stack). + (_PyFunction_FastCallKeywords() and err_args() leave them on the stack). */ while ((*pp_stack) > pfunc) { w = EXT_POP(*pp_stack); @@ -4792,7 +4791,7 @@ call_function(PyObject ***pp_stack, int oparg return x; } -/* The fast_function() function optimize calls for which no argument +/* The _PyFunction_FastCallKeywords() function optimize calls for which no argument tuple is necessary; the objects are passed directly from the stack. For the simplest case -- a function that takes only positional arguments and is called with only positional arguments -- it @@ -4840,8 +4839,9 @@ _PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t nargs, /* Similar to _PyFunction_FastCall() but keywords are passed a (key, value) pairs in stack */ -static PyObject * -fast_function(PyObject *func, PyObject **stack, Py_ssize_t nargs, Py_ssize_t nkwargs) +PyObject * +_PyFunction_FastCallKeywords(PyObject *func, PyObject **stack, + Py_ssize_t nargs, Py_ssize_t nkwargs) { PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); PyObject *globals = PyFunction_GET_GLOBALS(func); @@ -4850,6 +4850,11 @@ fast_function(PyObject *func, PyObject **stack, Py_ssize_t nargs, Py_ssize_t nkw PyObject **d; int nd; + assert(func != NULL); + assert(nargs >= 0); + assert(nkwargs >= 0); + assert((nargs == 0 && nkwargs == 0) || stack != NULL); + PCALL(PCALL_FUNCTION); PCALL(PCALL_FAST_FUNCTION); @@ -4902,14 +4907,14 @@ _PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, Py_ssize_t nd, nk; PyObject *result; - PCALL(PCALL_FUNCTION); - PCALL(PCALL_FAST_FUNCTION); - assert(func != NULL); assert(nargs >= 0); assert(nargs == 0 || args != NULL); assert(kwargs == NULL || PyDict_Check(kwargs)); + PCALL(PCALL_FUNCTION); + PCALL(PCALL_FAST_FUNCTION); + if (co->co_kwonlyargcount == 0 && (kwargs == NULL || PyDict_Size(kwargs) == 0) && co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) -- cgit v1.2.1 From 2c15df27be9ecb04e0c14313de88a6d9299cb261 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Thu, 25 Aug 2016 23:26:50 +0200 Subject: Issue #27830: Revert, remove _PyFunction_FastCallKeywords() --- Python/ceval.c | 12 ++++++------ 1 file changed, 6 insertions(+), 6 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 266b987b4c..00d52b4b8d 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -113,6 +113,7 @@ static PyObject * call_function(PyObject ***, int, uint64*, uint64*); #else static PyObject * call_function(PyObject ***, int); #endif +static PyObject * fast_function(PyObject *, PyObject **, Py_ssize_t, Py_ssize_t); static PyObject * do_call(PyObject *, PyObject ***, Py_ssize_t, Py_ssize_t); static PyObject * ext_do_call(PyObject *, PyObject ***, int, Py_ssize_t, Py_ssize_t); static PyObject * update_keyword_args(PyObject *, Py_ssize_t, PyObject ***, @@ -4766,7 +4767,7 @@ call_function(PyObject ***pp_stack, int oparg } READ_TIMESTAMP(*pintr0); if (PyFunction_Check(func)) { - x = _PyFunction_FastCallKeywords(func, (*pp_stack) - n, nargs, nkwargs); + x = fast_function(func, (*pp_stack) - n, nargs, nkwargs); } else { x = do_call(func, pp_stack, nargs, nkwargs); @@ -4779,7 +4780,7 @@ call_function(PyObject ***pp_stack, int oparg /* Clear the stack of the function object. Also removes the arguments in case they weren't consumed already - (_PyFunction_FastCallKeywords() and err_args() leave them on the stack). + (fast_function() and err_args() leave them on the stack). */ while ((*pp_stack) > pfunc) { w = EXT_POP(*pp_stack); @@ -4791,7 +4792,7 @@ call_function(PyObject ***pp_stack, int oparg return x; } -/* The _PyFunction_FastCallKeywords() function optimize calls for which no argument +/* The fast_function() function optimize calls for which no argument tuple is necessary; the objects are passed directly from the stack. For the simplest case -- a function that takes only positional arguments and is called with only positional arguments -- it @@ -4839,9 +4840,8 @@ _PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t nargs, /* Similar to _PyFunction_FastCall() but keywords are passed a (key, value) pairs in stack */ -PyObject * -_PyFunction_FastCallKeywords(PyObject *func, PyObject **stack, - Py_ssize_t nargs, Py_ssize_t nkwargs) +static PyObject * +fast_function(PyObject *func, PyObject **stack, Py_ssize_t nargs, Py_ssize_t nkwargs) { PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); PyObject *globals = PyFunction_GET_GLOBALS(func); -- cgit v1.2.1 From 68f60ae74527753a16b9fb79d9c75b5cd4164a14 Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Mon, 29 Aug 2016 15:57:26 +0300 Subject: Issue #27818: Speed up parsing width and precision in format() strings for numbers. Patch by Stefan Behnel. --- Python/formatter_unicode.c | 25 ++++++++++++++++--------- 1 file changed, 16 insertions(+), 9 deletions(-) (limited to 'Python') diff --git a/Python/formatter_unicode.c b/Python/formatter_unicode.c index d573288a89..929884c1ec 100644 --- a/Python/formatter_unicode.c +++ b/Python/formatter_unicode.c @@ -48,16 +48,17 @@ invalid_comma_type(Py_UCS4 presentation_type) returns -1 on error. */ static int -get_integer(PyObject *str, Py_ssize_t *pos, Py_ssize_t end, +get_integer(PyObject *str, Py_ssize_t *ppos, Py_ssize_t end, Py_ssize_t *result) { - Py_ssize_t accumulator, digitval; + Py_ssize_t accumulator, digitval, pos = *ppos; int numdigits; + int kind = PyUnicode_KIND(str); + void *data = PyUnicode_DATA(str); + accumulator = numdigits = 0; - for (;;(*pos)++, numdigits++) { - if (*pos >= end) - break; - digitval = Py_UNICODE_TODECIMAL(PyUnicode_READ_CHAR(str, *pos)); + for (; pos < end; pos++, numdigits++) { + digitval = Py_UNICODE_TODECIMAL(PyUnicode_READ(kind, data, pos)); if (digitval < 0) break; /* @@ -69,10 +70,12 @@ get_integer(PyObject *str, Py_ssize_t *pos, Py_ssize_t end, if (accumulator > (PY_SSIZE_T_MAX - digitval) / 10) { PyErr_Format(PyExc_ValueError, "Too many decimal digits in format string"); + *ppos = pos; return -1; } accumulator = accumulator * 10 + digitval; } + *ppos = pos; *result = accumulator; return numdigits; } @@ -150,9 +153,11 @@ parse_internal_render_format_spec(PyObject *format_spec, char default_align) { Py_ssize_t pos = start; + int kind = PyUnicode_KIND(format_spec); + void *data = PyUnicode_DATA(format_spec); /* end-pos is used throughout this code to specify the length of the input string */ -#define READ_spec(index) PyUnicode_READ_CHAR(format_spec, index) +#define READ_spec(index) PyUnicode_READ(kind, data, index) Py_ssize_t consumed; int align_specified = 0; @@ -402,13 +407,15 @@ parse_number(PyObject *s, Py_ssize_t pos, Py_ssize_t end, Py_ssize_t *n_remainder, int *has_decimal) { Py_ssize_t remainder; + int kind = PyUnicode_KIND(s); + void *data = PyUnicode_DATA(s); - while (pos Date: Tue, 30 Aug 2016 10:47:49 -0700 Subject: Issue #27895: Spelling fixes (Contributed by Ville Skytt?). --- Python/ceval.c | 12 ++++++------ Python/condvar.h | 2 +- Python/formatter_unicode.c | 2 +- 3 files changed, 8 insertions(+), 8 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 00d52b4b8d..5a542f0063 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -2090,16 +2090,16 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) TARGET(YIELD_FROM) { PyObject *v = POP(); - PyObject *reciever = TOP(); + PyObject *receiver = TOP(); int err; - if (PyGen_CheckExact(reciever) || PyCoro_CheckExact(reciever)) { - retval = _PyGen_Send((PyGenObject *)reciever, v); + if (PyGen_CheckExact(receiver) || PyCoro_CheckExact(receiver)) { + retval = _PyGen_Send((PyGenObject *)receiver, v); } else { _Py_IDENTIFIER(send); if (v == Py_None) - retval = Py_TYPE(reciever)->tp_iternext(reciever); + retval = Py_TYPE(receiver)->tp_iternext(receiver); else - retval = _PyObject_CallMethodIdObjArgs(reciever, &PyId_send, v, NULL); + retval = _PyObject_CallMethodIdObjArgs(receiver, &PyId_send, v, NULL); } Py_DECREF(v); if (retval == NULL) { @@ -2110,7 +2110,7 @@ PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) err = _PyGen_FetchStopIterationValue(&val); if (err < 0) goto error; - Py_DECREF(reciever); + Py_DECREF(receiver); SET_TOP(val); DISPATCH(); } diff --git a/Python/condvar.h b/Python/condvar.h index bb5b1b661f..ced910fbea 100644 --- a/Python/condvar.h +++ b/Python/condvar.h @@ -238,7 +238,7 @@ _PyCOND_WAIT_MS(PyCOND_T *cv, PyMUTEX_T *cs, DWORD ms) cv->waiting++; PyMUTEX_UNLOCK(cs); /* "lost wakeup bug" would occur if the caller were interrupted here, - * but we are safe because we are using a semaphore wich has an internal + * but we are safe because we are using a semaphore which has an internal * count. */ wait = WaitForSingleObjectEx(cv->sem, ms, FALSE); diff --git a/Python/formatter_unicode.c b/Python/formatter_unicode.c index 929884c1ec..db9f5b8316 100644 --- a/Python/formatter_unicode.c +++ b/Python/formatter_unicode.c @@ -121,7 +121,7 @@ typedef struct { } InternalFormatSpec; #if 0 -/* Occassionally useful for debugging. Should normally be commented out. */ +/* Occasionally useful for debugging. Should normally be commented out. */ static void DEBUG_PRINT_FORMAT_SPEC(InternalFormatSpec *format) { -- cgit v1.2.1 From 85910de019618a6cf261de10b697d444bfc3a127 Mon Sep 17 00:00:00 2001 From: "Eric V. Smith" Date: Sat, 3 Sep 2016 09:18:34 -0400 Subject: Closes issue 27921: Disallow backslashes anywhere in f-strings. This is a temporary restriction. In 3.6 beta 2, the plan is to again allow backslashes in the string parts of f-strings, but disallow them in the expression parts. --- Python/ast.c | 10 ++++++++++ 1 file changed, 10 insertions(+) (limited to 'Python') diff --git a/Python/ast.c b/Python/ast.c index b56fadddda..0f9c19333d 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -4958,6 +4958,16 @@ parsestr(struct compiling *c, const node *n, int *bytesmode, int *fmode) return NULL; } } + + /* Temporary hack: if this is an f-string, no backslashes are allowed. */ + /* See issue 27921. */ + if (*fmode && strchr(s, '\\') != NULL) { + /* Syntax error. At a later date fix this so it only checks for + backslashes within the braces. */ + ast_error(c, n, "backslashes not allowed in f-strings"); + return NULL; + } + /* Avoid invoking escape decoding routines if possible. */ rawmode = rawmode || strchr(s, '\\') == NULL; if (*bytesmode) { -- cgit v1.2.1 From 823616bdc22856b5df918a443051ec6ec2e9073c Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Mon, 5 Sep 2016 14:50:11 -0700 Subject: Issue #24254: Preserve class attribute definition order. --- Python/bltinmodule.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index dc2daa8d1a..07d59caba1 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -145,7 +145,7 @@ builtin___build_class__(PyObject *self, PyObject *args, PyObject *kwds) if (prep == NULL) { if (PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); - ns = PyDict_New(); + ns = PyODict_New(); } else { Py_DECREF(meta); -- cgit v1.2.1 From bb0ec1fc07628252f17d66a58a4a4b3654e571c3 Mon Sep 17 00:00:00 2001 From: Larry Hastings Date: Mon, 5 Sep 2016 15:11:23 -0700 Subject: Issue #27355: Removed support for Windows CE. It was never finished, and Windows CE is no longer a relevant platform for Python. --- Python/sysmodule.c | 8 +++----- Python/thread_nt.h | 22 ---------------------- 2 files changed, 3 insertions(+), 27 deletions(-) (limited to 'Python') diff --git a/Python/sysmodule.c b/Python/sysmodule.c index c170bd5889..a54f266030 100644 --- a/Python/sysmodule.c +++ b/Python/sysmodule.c @@ -2000,7 +2000,7 @@ sys_update_path(int argc, wchar_t **argv) #endif #if defined(HAVE_REALPATH) wchar_t fullpath[MAXPATHLEN]; -#elif defined(MS_WINDOWS) && !defined(MS_WINCE) +#elif defined(MS_WINDOWS) wchar_t fullpath[MAX_PATH]; #endif @@ -2039,10 +2039,8 @@ sys_update_path(int argc, wchar_t **argv) #if SEP == '\\' /* Special case for MS filename syntax */ if (_HAVE_SCRIPT_ARGUMENT(argc, argv)) { wchar_t *q; -#if defined(MS_WINDOWS) && !defined(MS_WINCE) - /* This code here replaces the first element in argv with the full - path that it represents. Under CE, there are no relative paths so - the argument must be the full path anyway. */ +#if defined(MS_WINDOWS) + /* Replace the first element in argv with the full path. */ wchar_t *ptemp; if (GetFullPathNameW(argv0, Py_ARRAY_LENGTH(fullpath), diff --git a/Python/thread_nt.h b/Python/thread_nt.h index b29b1b6e3f..cb0e99596c 100644 --- a/Python/thread_nt.h +++ b/Python/thread_nt.h @@ -161,11 +161,7 @@ typedef struct { /* thunker to call adapt between the function type used by the system's thread start function and the internally used one. */ -#if defined(MS_WINCE) -static DWORD WINAPI -#else static unsigned __stdcall -#endif bootstrap(void *call) { callobj *obj = (callobj*)call; @@ -193,32 +189,18 @@ PyThread_start_new_thread(void (*func)(void *), void *arg) return -1; obj->func = func; obj->arg = arg; -#if defined(MS_WINCE) - hThread = CreateThread(NULL, - Py_SAFE_DOWNCAST(_pythread_stacksize, Py_ssize_t, SIZE_T), - bootstrap, obj, 0, &threadID); -#else hThread = (HANDLE)_beginthreadex(0, Py_SAFE_DOWNCAST(_pythread_stacksize, Py_ssize_t, unsigned int), bootstrap, obj, 0, &threadID); -#endif if (hThread == 0) { -#if defined(MS_WINCE) - /* Save error in variable, to prevent PyThread_get_thread_ident - from clobbering it. */ - unsigned e = GetLastError(); - dprintf(("%ld: PyThread_start_new_thread failed, win32 error code %u\n", - PyThread_get_thread_ident(), e)); -#else /* I've seen errno == EAGAIN here, which means "there are * too many threads". */ int e = errno; dprintf(("%ld: PyThread_start_new_thread failed, errno %d\n", PyThread_get_thread_ident(), e)); -#endif threadID = (unsigned)-1; HeapFree(GetProcessHeap(), 0, obj); } @@ -249,11 +231,7 @@ PyThread_exit_thread(void) dprintf(("%ld: PyThread_exit_thread called\n", PyThread_get_thread_ident())); if (!initialized) exit(0); -#if defined(MS_WINCE) - ExitThread(0); -#else _endthreadex(0); -#endif } /* -- cgit v1.2.1 From 0b77d53b22873d0be290d30321a03f4769489ddc Mon Sep 17 00:00:00 2001 From: Brett Cannon Date: Mon, 5 Sep 2016 15:33:46 -0700 Subject: Implement the frame evaluation API aspect of PEP 523. --- Python/ceval.c | 7 +++++++ Python/pystate.c | 1 + 2 files changed, 8 insertions(+) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 5a542f0063..05563a001c 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -796,6 +796,13 @@ PyEval_EvalFrame(PyFrameObject *f) { PyObject * PyEval_EvalFrameEx(PyFrameObject *f, int throwflag) +{ + PyThreadState *tstate = PyThreadState_GET(); + return tstate->interp->eval_frame(f, throwflag); +} + +PyObject * +_PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) { #ifdef DXPAIRS int lastopcode = 0; diff --git a/Python/pystate.c b/Python/pystate.c index 25110b287f..61bda2a9fb 100644 --- a/Python/pystate.c +++ b/Python/pystate.c @@ -91,6 +91,7 @@ PyInterpreterState_New(void) interp->fscodec_initialized = 0; interp->importlib = NULL; interp->import_func = NULL; + interp->eval_frame = _PyEval_EvalFrameDefault; #ifdef HAVE_DLOPEN #if HAVE_DECL_RTLD_NOW interp->dlopenflags = RTLD_NOW; -- cgit v1.2.1 From 907ccded8b6fa68f6f572ae5de6760595df0d5a1 Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Mon, 5 Sep 2016 17:44:18 -0700 Subject: require a long long data type (closes #27961) --- Python/getargs.c | 4 ---- Python/modsupport.c | 3 +-- Python/pytime.c | 16 ++-------------- Python/structmember.c | 4 ---- 4 files changed, 3 insertions(+), 24 deletions(-) (limited to 'Python') diff --git a/Python/getargs.c b/Python/getargs.c index cf0ad26920..008a4346fb 100644 --- a/Python/getargs.c +++ b/Python/getargs.c @@ -769,7 +769,6 @@ convertsimple(PyObject *arg, const char **p_format, va_list *p_va, int flags, break; } -#ifdef HAVE_LONG_LONG case 'L': {/* PY_LONG_LONG */ PY_LONG_LONG *p = va_arg( *p_va, PY_LONG_LONG * ); PY_LONG_LONG ival; @@ -793,7 +792,6 @@ convertsimple(PyObject *arg, const char **p_format, va_list *p_va, int flags, *p = ival; break; } -#endif case 'f': {/* float */ float *p = va_arg(*p_va, float *); @@ -2088,10 +2086,8 @@ skipitem(const char **p_format, va_list *p_va, int flags) case 'I': /* int sized bitfield */ case 'l': /* long int */ case 'k': /* long int sized bitfield */ -#ifdef HAVE_LONG_LONG case 'L': /* PY_LONG_LONG */ case 'K': /* PY_LONG_LONG sized bitfield */ -#endif case 'n': /* Py_ssize_t */ case 'f': /* float */ case 'd': /* double */ diff --git a/Python/modsupport.c b/Python/modsupport.c index dac18be746..4911f06e44 100644 --- a/Python/modsupport.c +++ b/Python/modsupport.c @@ -260,13 +260,12 @@ do_mkvalue(const char **p_format, va_list *p_va, int flags) return PyLong_FromUnsignedLong(n); } -#ifdef HAVE_LONG_LONG case 'L': return PyLong_FromLongLong((PY_LONG_LONG)va_arg(*p_va, PY_LONG_LONG)); case 'K': return PyLong_FromUnsignedLongLong((PY_LONG_LONG)va_arg(*p_va, unsigned PY_LONG_LONG)); -#endif + case 'u': { PyObject *v; diff --git a/Python/pytime.c b/Python/pytime.c index 81682caa96..5f166b868a 100644 --- a/Python/pytime.c +++ b/Python/pytime.c @@ -38,7 +38,7 @@ error_time_t_overflow(void) time_t _PyLong_AsTime_t(PyObject *obj) { -#if defined(HAVE_LONG_LONG) && SIZEOF_TIME_T == SIZEOF_LONG_LONG +#if SIZEOF_TIME_T == SIZEOF_LONG_LONG PY_LONG_LONG val; val = PyLong_AsLongLong(obj); #else @@ -57,7 +57,7 @@ _PyLong_AsTime_t(PyObject *obj) PyObject * _PyLong_FromTime_t(time_t t) { -#if defined(HAVE_LONG_LONG) && SIZEOF_TIME_T == SIZEOF_LONG_LONG +#if SIZEOF_TIME_T == SIZEOF_LONG_LONG return PyLong_FromLongLong((PY_LONG_LONG)t); #else Py_BUILD_ASSERT(sizeof(time_t) <= sizeof(long)); @@ -304,17 +304,10 @@ _PyTime_FromObject(_PyTime_t *t, PyObject *obj, _PyTime_round_t round, return _PyTime_FromFloatObject(t, d, round, unit_to_ns); } else { -#ifdef HAVE_LONG_LONG PY_LONG_LONG sec; Py_BUILD_ASSERT(sizeof(PY_LONG_LONG) <= sizeof(_PyTime_t)); sec = PyLong_AsLongLong(obj); -#else - long sec; - Py_BUILD_ASSERT(sizeof(PY_LONG_LONG) <= sizeof(_PyTime_t)); - - sec = PyLong_AsLong(obj); -#endif if (sec == -1 && PyErr_Occurred()) { if (PyErr_ExceptionMatches(PyExc_OverflowError)) _PyTime_overflow(); @@ -365,13 +358,8 @@ _PyTime_AsSecondsDouble(_PyTime_t t) PyObject * _PyTime_AsNanosecondsObject(_PyTime_t t) { -#ifdef HAVE_LONG_LONG Py_BUILD_ASSERT(sizeof(PY_LONG_LONG) >= sizeof(_PyTime_t)); return PyLong_FromLongLong((PY_LONG_LONG)t); -#else - Py_BUILD_ASSERT(sizeof(long) >= sizeof(_PyTime_t)); - return PyLong_FromLong((long)t); -#endif } static _PyTime_t diff --git a/Python/structmember.c b/Python/structmember.c index af0296d802..c2ddb51e80 100644 --- a/Python/structmember.c +++ b/Python/structmember.c @@ -74,14 +74,12 @@ PyMember_GetOne(const char *addr, PyMemberDef *l) PyErr_SetString(PyExc_AttributeError, l->name); Py_XINCREF(v); break; -#ifdef HAVE_LONG_LONG case T_LONGLONG: v = PyLong_FromLongLong(*(PY_LONG_LONG *)addr); break; case T_ULONGLONG: v = PyLong_FromUnsignedLongLong(*(unsigned PY_LONG_LONG *)addr); break; -#endif /* HAVE_LONG_LONG */ case T_NONE: v = Py_None; Py_INCREF(v); @@ -266,7 +264,6 @@ PyMember_SetOne(char *addr, PyMemberDef *l, PyObject *v) case T_STRING_INPLACE: PyErr_SetString(PyExc_TypeError, "readonly attribute"); return -1; -#ifdef HAVE_LONG_LONG case T_LONGLONG:{ PY_LONG_LONG value; *(PY_LONG_LONG*)addr = value = PyLong_AsLongLong(v); @@ -286,7 +283,6 @@ PyMember_SetOne(char *addr, PyMemberDef *l, PyObject *v) return -1; break; } -#endif /* HAVE_LONG_LONG */ default: PyErr_Format(PyExc_SystemError, "bad memberdescr type for %s", l->name); -- cgit v1.2.1 From b10682a8d65eacac79b39a62ff45a15e0ac95f05 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Mon, 5 Sep 2016 17:53:15 -0700 Subject: Avoid inefficient way to call functions without argument Don't pass "()" format to PyObject_CallXXX() to call a function without argument: pass NULL as the format string instead. It avoids to have to parse a string to produce 0 argument. --- Python/modsupport.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/modsupport.c b/Python/modsupport.c index 4911f06e44..37c0ce7864 100644 --- a/Python/modsupport.c +++ b/Python/modsupport.c @@ -468,7 +468,7 @@ va_build_value(const char *format, va_list va, int flags) int n = countformat(f, '\0'); va_list lva; - Py_VA_COPY(lva, va); + Py_VA_COPY(lva, va); if (n < 0) return NULL; -- cgit v1.2.1 From 06d0337c7565e35432fe744713260e2ef3e8a545 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Mon, 5 Sep 2016 18:16:01 -0700 Subject: Avoid calling functions with an empty string as format string Directly pass NULL rather than an empty string. --- Python/bltinmodule.c | 12 ++++++------ Python/pylifecycle.c | 10 +++++----- Python/pythonrun.c | 4 ++-- Python/traceback.c | 4 ++-- 4 files changed, 15 insertions(+), 15 deletions(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index 07d59caba1..be145609dd 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -1784,7 +1784,7 @@ builtin_print(PyObject *self, PyObject *args, PyObject *kwds) if (do_flush == -1) return NULL; else if (do_flush) { - tmp = _PyObject_CallMethodId(file, &PyId_flush, ""); + tmp = _PyObject_CallMethodId(file, &PyId_flush, NULL); if (tmp == NULL) return NULL; else @@ -1850,7 +1850,7 @@ builtin_input_impl(PyObject *module, PyObject *prompt) } /* First of all, flush stderr */ - tmp = _PyObject_CallMethodId(ferr, &PyId_flush, ""); + tmp = _PyObject_CallMethodId(ferr, &PyId_flush, NULL); if (tmp == NULL) PyErr_Clear(); else @@ -1859,7 +1859,7 @@ builtin_input_impl(PyObject *module, PyObject *prompt) /* We should only use (GNU) readline if Python's sys.stdin and sys.stdout are the same as C's stdin and stdout, because we need to pass it those. */ - tmp = _PyObject_CallMethodId(fin, &PyId_fileno, ""); + tmp = _PyObject_CallMethodId(fin, &PyId_fileno, NULL); if (tmp == NULL) { PyErr_Clear(); tty = 0; @@ -1872,7 +1872,7 @@ builtin_input_impl(PyObject *module, PyObject *prompt) tty = fd == fileno(stdin) && isatty(fd); } if (tty) { - tmp = _PyObject_CallMethodId(fout, &PyId_fileno, ""); + tmp = _PyObject_CallMethodId(fout, &PyId_fileno, NULL); if (tmp == NULL) { PyErr_Clear(); tty = 0; @@ -1907,7 +1907,7 @@ builtin_input_impl(PyObject *module, PyObject *prompt) stdin_errors_str = _PyUnicode_AsString(stdin_errors); if (!stdin_encoding_str || !stdin_errors_str) goto _readline_errors; - tmp = _PyObject_CallMethodId(fout, &PyId_flush, ""); + tmp = _PyObject_CallMethodId(fout, &PyId_flush, NULL); if (tmp == NULL) PyErr_Clear(); else @@ -1987,7 +1987,7 @@ builtin_input_impl(PyObject *module, PyObject *prompt) if (PyFile_WriteObject(prompt, fout, Py_PRINT_RAW) != 0) return NULL; } - tmp = _PyObject_CallMethodId(fout, &PyId_flush, ""); + tmp = _PyObject_CallMethodId(fout, &PyId_flush, NULL); if (tmp == NULL) PyErr_Clear(); else diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index 004feae7a0..1896888916 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -493,7 +493,7 @@ flush_std_files(void) int status = 0; if (fout != NULL && fout != Py_None && !file_is_closed(fout)) { - tmp = _PyObject_CallMethodId(fout, &PyId_flush, ""); + tmp = _PyObject_CallMethodId(fout, &PyId_flush, NULL); if (tmp == NULL) { PyErr_WriteUnraisable(fout); status = -1; @@ -503,7 +503,7 @@ flush_std_files(void) } if (ferr != NULL && ferr != Py_None && !file_is_closed(ferr)) { - tmp = _PyObject_CallMethodId(ferr, &PyId_flush, ""); + tmp = _PyObject_CallMethodId(ferr, &PyId_flush, NULL); if (tmp == NULL) { PyErr_Clear(); status = -1; @@ -1072,7 +1072,7 @@ create_stdio(PyObject* io, text = PyUnicode_FromString(name); if (text == NULL || _PyObject_SetAttrId(raw, &PyId_name, text) < 0) goto error; - res = _PyObject_CallMethodId(raw, &PyId_isatty, ""); + res = _PyObject_CallMethodId(raw, &PyId_isatty, NULL); if (res == NULL) goto error; isatty = PyObject_IsTrue(res); @@ -1343,7 +1343,7 @@ _Py_FatalError_PrintExc(int fd) Py_XDECREF(tb); /* sys.stderr may be buffered: call sys.stderr.flush() */ - res = _PyObject_CallMethodId(ferr, &PyId_flush, ""); + res = _PyObject_CallMethodId(ferr, &PyId_flush, NULL); if (res == NULL) PyErr_Clear(); else @@ -1453,7 +1453,7 @@ wait_for_thread_shutdown(void) PyErr_Clear(); return; } - result = _PyObject_CallMethodId(threading, &PyId__shutdown, ""); + result = _PyObject_CallMethodId(threading, &PyId__shutdown, NULL); if (result == NULL) { PyErr_WriteUnraisable(threading); } diff --git a/Python/pythonrun.c b/Python/pythonrun.c index 3fb6f15dd7..1fc86c0a3e 100644 --- a/Python/pythonrun.c +++ b/Python/pythonrun.c @@ -950,7 +950,7 @@ flush_io(void) f = _PySys_GetObjectId(&PyId_stderr); if (f != NULL) { - r = _PyObject_CallMethodId(f, &PyId_flush, ""); + r = _PyObject_CallMethodId(f, &PyId_flush, NULL); if (r) Py_DECREF(r); else @@ -958,7 +958,7 @@ flush_io(void) } f = _PySys_GetObjectId(&PyId_stdout); if (f != NULL) { - r = _PyObject_CallMethodId(f, &PyId_flush, ""); + r = _PyObject_CallMethodId(f, &PyId_flush, NULL); if (r) Py_DECREF(r); else diff --git a/Python/traceback.c b/Python/traceback.c index b33156eaa7..e8aac1bad8 100644 --- a/Python/traceback.c +++ b/Python/traceback.c @@ -314,7 +314,7 @@ _Py_DisplaySourceLine(PyObject *f, PyObject *filename, int lineno, int indent) if (fob == NULL) { PyErr_Clear(); - res = _PyObject_CallMethodId(binary, &PyId_close, ""); + res = _PyObject_CallMethodId(binary, &PyId_close, NULL); Py_DECREF(binary); if (res) Py_DECREF(res); @@ -334,7 +334,7 @@ _Py_DisplaySourceLine(PyObject *f, PyObject *filename, int lineno, int indent) break; } } - res = _PyObject_CallMethodId(fob, &PyId_close, ""); + res = _PyObject_CallMethodId(fob, &PyId_close, NULL); if (res) Py_DECREF(res); else -- cgit v1.2.1 From 914b59533a094e815809f62441d02b560e23057b Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Tue, 6 Sep 2016 10:46:49 -0700 Subject: replace PY_LONG_LONG with long long --- Python/condvar.h | 6 +++--- Python/getargs.c | 16 ++++++++-------- Python/modsupport.c | 4 ++-- Python/pytime.c | 18 +++++++++--------- Python/structmember.c | 16 ++++++++-------- Python/thread_nt.h | 2 +- 6 files changed, 31 insertions(+), 31 deletions(-) (limited to 'Python') diff --git a/Python/condvar.h b/Python/condvar.h index ced910fbea..9a71b17738 100644 --- a/Python/condvar.h +++ b/Python/condvar.h @@ -89,7 +89,7 @@ do { /* TODO: add overflow and truncation checks */ \ /* return 0 for success, 1 on timeout, -1 on error */ Py_LOCAL_INLINE(int) -PyCOND_TIMEDWAIT(PyCOND_T *cond, PyMUTEX_T *mut, PY_LONG_LONG us) +PyCOND_TIMEDWAIT(PyCOND_T *cond, PyMUTEX_T *mut, long long us) { int r; struct timespec ts; @@ -270,7 +270,7 @@ PyCOND_WAIT(PyCOND_T *cv, PyMUTEX_T *cs) } Py_LOCAL_INLINE(int) -PyCOND_TIMEDWAIT(PyCOND_T *cv, PyMUTEX_T *cs, PY_LONG_LONG us) +PyCOND_TIMEDWAIT(PyCOND_T *cv, PyMUTEX_T *cs, long long us) { return _PyCOND_WAIT_MS(cv, cs, (DWORD)(us/1000)); } @@ -363,7 +363,7 @@ PyCOND_WAIT(PyCOND_T *cv, PyMUTEX_T *cs) * 2 to indicate that we don't know. */ Py_LOCAL_INLINE(int) -PyCOND_TIMEDWAIT(PyCOND_T *cv, PyMUTEX_T *cs, PY_LONG_LONG us) +PyCOND_TIMEDWAIT(PyCOND_T *cv, PyMUTEX_T *cs, long long us) { return SleepConditionVariableSRW(cv, cs, (DWORD)(us/1000), 0) ? 2 : -1; } diff --git a/Python/getargs.c b/Python/getargs.c index 008a4346fb..0854cc45e6 100644 --- a/Python/getargs.c +++ b/Python/getargs.c @@ -769,13 +769,13 @@ convertsimple(PyObject *arg, const char **p_format, va_list *p_va, int flags, break; } - case 'L': {/* PY_LONG_LONG */ - PY_LONG_LONG *p = va_arg( *p_va, PY_LONG_LONG * ); - PY_LONG_LONG ival; + case 'L': {/* long long */ + long long *p = va_arg( *p_va, long long * ); + long long ival; if (float_argument_error(arg)) RETURN_ERR_OCCURRED; ival = PyLong_AsLongLong(arg); - if (ival == (PY_LONG_LONG)-1 && PyErr_Occurred()) + if (ival == (long long)-1 && PyErr_Occurred()) RETURN_ERR_OCCURRED; else *p = ival; @@ -783,8 +783,8 @@ convertsimple(PyObject *arg, const char **p_format, va_list *p_va, int flags, } case 'K': { /* long long sized bitfield */ - unsigned PY_LONG_LONG *p = va_arg(*p_va, unsigned PY_LONG_LONG *); - unsigned PY_LONG_LONG ival; + unsigned long long *p = va_arg(*p_va, unsigned long long *); + unsigned long long ival; if (PyLong_Check(arg)) ival = PyLong_AsUnsignedLongLongMask(arg); else @@ -2086,8 +2086,8 @@ skipitem(const char **p_format, va_list *p_va, int flags) case 'I': /* int sized bitfield */ case 'l': /* long int */ case 'k': /* long int sized bitfield */ - case 'L': /* PY_LONG_LONG */ - case 'K': /* PY_LONG_LONG sized bitfield */ + case 'L': /* long long */ + case 'K': /* long long sized bitfield */ case 'n': /* Py_ssize_t */ case 'f': /* float */ case 'd': /* double */ diff --git a/Python/modsupport.c b/Python/modsupport.c index 37c0ce7864..f3aa91f2b9 100644 --- a/Python/modsupport.c +++ b/Python/modsupport.c @@ -261,10 +261,10 @@ do_mkvalue(const char **p_format, va_list *p_va, int flags) } case 'L': - return PyLong_FromLongLong((PY_LONG_LONG)va_arg(*p_va, PY_LONG_LONG)); + return PyLong_FromLongLong((long long)va_arg(*p_va, long long)); case 'K': - return PyLong_FromUnsignedLongLong((PY_LONG_LONG)va_arg(*p_va, unsigned PY_LONG_LONG)); + return PyLong_FromUnsignedLongLong((long long)va_arg(*p_va, unsigned long long)); case 'u': { diff --git a/Python/pytime.c b/Python/pytime.c index 5f166b868a..02ef8ee7d6 100644 --- a/Python/pytime.c +++ b/Python/pytime.c @@ -39,7 +39,7 @@ time_t _PyLong_AsTime_t(PyObject *obj) { #if SIZEOF_TIME_T == SIZEOF_LONG_LONG - PY_LONG_LONG val; + long long val; val = PyLong_AsLongLong(obj); #else long val; @@ -58,7 +58,7 @@ PyObject * _PyLong_FromTime_t(time_t t) { #if SIZEOF_TIME_T == SIZEOF_LONG_LONG - return PyLong_FromLongLong((PY_LONG_LONG)t); + return PyLong_FromLongLong((long long)t); #else Py_BUILD_ASSERT(sizeof(time_t) <= sizeof(long)); return PyLong_FromLong((long)t); @@ -218,11 +218,11 @@ _PyTime_FromSeconds(int seconds) } _PyTime_t -_PyTime_FromNanoseconds(PY_LONG_LONG ns) +_PyTime_FromNanoseconds(long long ns) { _PyTime_t t; - Py_BUILD_ASSERT(sizeof(PY_LONG_LONG) <= sizeof(_PyTime_t)); - t = Py_SAFE_DOWNCAST(ns, PY_LONG_LONG, _PyTime_t); + Py_BUILD_ASSERT(sizeof(long long) <= sizeof(_PyTime_t)); + t = Py_SAFE_DOWNCAST(ns, long long, _PyTime_t); return t; } @@ -304,8 +304,8 @@ _PyTime_FromObject(_PyTime_t *t, PyObject *obj, _PyTime_round_t round, return _PyTime_FromFloatObject(t, d, round, unit_to_ns); } else { - PY_LONG_LONG sec; - Py_BUILD_ASSERT(sizeof(PY_LONG_LONG) <= sizeof(_PyTime_t)); + long long sec; + Py_BUILD_ASSERT(sizeof(long long) <= sizeof(_PyTime_t)); sec = PyLong_AsLongLong(obj); if (sec == -1 && PyErr_Occurred()) { @@ -358,8 +358,8 @@ _PyTime_AsSecondsDouble(_PyTime_t t) PyObject * _PyTime_AsNanosecondsObject(_PyTime_t t) { - Py_BUILD_ASSERT(sizeof(PY_LONG_LONG) >= sizeof(_PyTime_t)); - return PyLong_FromLongLong((PY_LONG_LONG)t); + Py_BUILD_ASSERT(sizeof(long long) >= sizeof(_PyTime_t)); + return PyLong_FromLongLong((long long)t); } static _PyTime_t diff --git a/Python/structmember.c b/Python/structmember.c index c2ddb51e80..86d4c66ca7 100644 --- a/Python/structmember.c +++ b/Python/structmember.c @@ -75,10 +75,10 @@ PyMember_GetOne(const char *addr, PyMemberDef *l) Py_XINCREF(v); break; case T_LONGLONG: - v = PyLong_FromLongLong(*(PY_LONG_LONG *)addr); + v = PyLong_FromLongLong(*(long long *)addr); break; case T_ULONGLONG: - v = PyLong_FromUnsignedLongLong(*(unsigned PY_LONG_LONG *)addr); + v = PyLong_FromUnsignedLongLong(*(unsigned long long *)addr); break; case T_NONE: v = Py_None; @@ -265,21 +265,21 @@ PyMember_SetOne(char *addr, PyMemberDef *l, PyObject *v) PyErr_SetString(PyExc_TypeError, "readonly attribute"); return -1; case T_LONGLONG:{ - PY_LONG_LONG value; - *(PY_LONG_LONG*)addr = value = PyLong_AsLongLong(v); + long long value; + *(long long*)addr = value = PyLong_AsLongLong(v); if ((value == -1) && PyErr_Occurred()) return -1; break; } case T_ULONGLONG:{ - unsigned PY_LONG_LONG value; + unsigned long long value; /* ??? PyLong_AsLongLong accepts an int, but PyLong_AsUnsignedLongLong doesn't ??? */ if (PyLong_Check(v)) - *(unsigned PY_LONG_LONG*)addr = value = PyLong_AsUnsignedLongLong(v); + *(unsigned long long*)addr = value = PyLong_AsUnsignedLongLong(v); else - *(unsigned PY_LONG_LONG*)addr = value = PyLong_AsLong(v); - if ((value == (unsigned PY_LONG_LONG)-1) && PyErr_Occurred()) + *(unsigned long long*)addr = value = PyLong_AsLong(v); + if ((value == (unsigned long long)-1) && PyErr_Occurred()) return -1; break; } diff --git a/Python/thread_nt.h b/Python/thread_nt.h index cb0e99596c..74a6ee8029 100644 --- a/Python/thread_nt.h +++ b/Python/thread_nt.h @@ -77,7 +77,7 @@ EnterNonRecursiveMutex(PNRMUTEX mutex, DWORD milliseconds) /* wait at least until the target */ DWORD now, target = GetTickCount() + milliseconds; while (mutex->locked) { - if (PyCOND_TIMEDWAIT(&mutex->cv, &mutex->cs, (PY_LONG_LONG)milliseconds*1000) < 0) { + if (PyCOND_TIMEDWAIT(&mutex->cv, &mutex->cs, (long long)milliseconds*1000) < 0) { result = WAIT_FAILED; break; } -- cgit v1.2.1 From cf6adf24ceeab86dfeee86c57d3c01e61740b665 Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Tue, 6 Sep 2016 11:58:01 -0700 Subject: require standard int types to be defined (#17884) --- Python/dtoa.c | 15 +++------------ 1 file changed, 3 insertions(+), 12 deletions(-) (limited to 'Python') diff --git a/Python/dtoa.c b/Python/dtoa.c index e0665b667e..94eb2676e2 100644 --- a/Python/dtoa.c +++ b/Python/dtoa.c @@ -151,18 +151,9 @@ #endif -#if defined(HAVE_UINT32_T) && defined(HAVE_INT32_T) -typedef PY_UINT32_T ULong; -typedef PY_INT32_T Long; -#else -#error "Failed to find an exact-width 32-bit integer type" -#endif - -#if defined(HAVE_UINT64_T) -#define ULLong PY_UINT64_T -#else -#undef ULLong -#endif +typedef uint32_t ULong; +typedef int32_t Long; +typedef uint64_t ULLong; #undef DEBUG #ifdef Py_DEBUG -- cgit v1.2.1 From 0c3c0375111bde5f7586e6c951f08a0035039a39 Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Tue, 6 Sep 2016 22:07:53 +0300 Subject: Issue #27078: Added BUILD_STRING opcode. Optimized f-strings evaluation. --- Python/ceval.c | 18 ++ Python/compile.c | 26 +-- Python/importlib.h | 409 ++++++++++++++++++++++---------------------- Python/importlib_external.h | 208 +++++++++++----------- Python/opcode_targets.h | 2 +- 5 files changed, 329 insertions(+), 334 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 05563a001c..bf19a5b2b4 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -2538,6 +2538,24 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) DISPATCH(); } + TARGET(BUILD_STRING) { + PyObject *str; + PyObject *empty = PyUnicode_New(0, 0); + if (empty == NULL) { + goto error; + } + str = _PyUnicode_JoinArray(empty, stack_pointer - oparg, oparg); + Py_DECREF(empty); + if (str == NULL) + goto error; + while (--oparg >= 0) { + PyObject *item = POP(); + Py_DECREF(item); + } + PUSH(str); + DISPATCH(); + } + TARGET(BUILD_TUPLE) { PyObject *tup = PyTuple_New(oparg); if (tup == NULL) diff --git a/Python/compile.c b/Python/compile.c index fb80f51fc0..b5629895c1 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -970,6 +970,7 @@ PyCompile_OpcodeStackEffect(int opcode, int oparg) case BUILD_TUPLE: case BUILD_LIST: case BUILD_SET: + case BUILD_STRING: return 1-oparg; case BUILD_LIST_UNPACK: case BUILD_TUPLE_UNPACK: @@ -3315,31 +3316,8 @@ compiler_call(struct compiler *c, expr_ty e) static int compiler_joined_str(struct compiler *c, expr_ty e) { - /* Concatenate parts of a string using ''.join(parts). There are - probably better ways of doing this. - - This is used for constructs like "'x=' f'{42}'", which have to - be evaluated at compile time. */ - - static PyObject *empty_string; - static PyObject *join_string; - - if (!empty_string) { - empty_string = PyUnicode_FromString(""); - if (!empty_string) - return 0; - } - if (!join_string) { - join_string = PyUnicode_FromString("join"); - if (!join_string) - return 0; - } - - ADDOP_O(c, LOAD_CONST, empty_string, consts); - ADDOP_NAME(c, LOAD_ATTR, join_string, names); VISIT_SEQ(c, expr, e->v.JoinedStr.values); - ADDOP_I(c, BUILD_LIST, asdl_seq_LEN(e->v.JoinedStr.values)); - ADDOP_I(c, CALL_FUNCTION, 1); + ADDOP_I(c, BUILD_STRING, asdl_seq_LEN(e->v.JoinedStr.values)); return 1; } diff --git a/Python/importlib.h b/Python/importlib.h index 0e90e57f1a..e26d307121 100644 --- a/Python/importlib.h +++ b/Python/importlib.h @@ -1676,210 +1676,209 @@ const unsigned char _Py_M__importlib[] = { 115,116,238,3,0,0,115,34,0,0,0,0,10,10,1,8, 1,8,1,10,1,10,1,12,1,10,1,10,1,14,1,2, 1,14,1,16,4,14,1,10,1,2,1,24,1,114,195,0, - 0,0,99,1,0,0,0,0,0,0,0,3,0,0,0,7, - 0,0,0,67,0,0,0,115,160,0,0,0,124,0,106,0, + 0,0,99,1,0,0,0,0,0,0,0,3,0,0,0,6, + 0,0,0,67,0,0,0,115,154,0,0,0,124,0,106,0, 100,1,131,1,125,1,124,0,106,0,100,2,131,1,125,2, - 124,1,100,3,107,9,114,92,124,2,100,3,107,9,114,86, - 124,1,124,2,106,1,107,3,114,86,116,2,106,3,100,4, - 106,4,100,5,124,1,155,2,100,6,124,2,106,1,155,2, - 100,7,103,5,131,1,116,5,100,8,100,9,144,1,131,2, - 1,0,124,1,83,0,110,64,124,2,100,3,107,9,114,108, - 124,2,106,1,83,0,110,48,116,2,106,3,100,10,116,5, - 100,8,100,9,144,1,131,2,1,0,124,0,100,11,25,0, - 125,1,100,12,124,0,107,7,114,156,124,1,106,6,100,13, - 131,1,100,14,25,0,125,1,124,1,83,0,41,15,122,167, - 67,97,108,99,117,108,97,116,101,32,119,104,97,116,32,95, - 95,112,97,99,107,97,103,101,95,95,32,115,104,111,117,108, - 100,32,98,101,46,10,10,32,32,32,32,95,95,112,97,99, - 107,97,103,101,95,95,32,105,115,32,110,111,116,32,103,117, - 97,114,97,110,116,101,101,100,32,116,111,32,98,101,32,100, - 101,102,105,110,101,100,32,111,114,32,99,111,117,108,100,32, - 98,101,32,115,101,116,32,116,111,32,78,111,110,101,10,32, - 32,32,32,116,111,32,114,101,112,114,101,115,101,110,116,32, - 116,104,97,116,32,105,116,115,32,112,114,111,112,101,114,32, - 118,97,108,117,101,32,105,115,32,117,110,107,110,111,119,110, - 46,10,10,32,32,32,32,114,134,0,0,0,114,95,0,0, - 0,78,218,0,122,32,95,95,112,97,99,107,97,103,101,95, - 95,32,33,61,32,95,95,115,112,101,99,95,95,46,112,97, - 114,101,110,116,32,40,122,4,32,33,61,32,250,1,41,114, - 140,0,0,0,233,3,0,0,0,122,89,99,97,110,39,116, - 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, - 116,104,95,95,114,1,0,0,0,114,131,0,0,0,114,121, - 0,0,0,114,33,0,0,0,41,7,114,42,0,0,0,114, - 123,0,0,0,114,142,0,0,0,114,143,0,0,0,114,115, - 0,0,0,114,176,0,0,0,114,122,0,0,0,41,3,218, - 7,103,108,111,98,97,108,115,114,170,0,0,0,114,88,0, - 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, - 103,101,95,95,14,4,0,0,115,30,0,0,0,0,7,10, - 1,10,1,8,1,18,1,28,2,12,1,6,1,8,1,8, - 2,6,2,12,1,8,1,8,1,14,1,114,200,0,0,0, - 99,5,0,0,0,0,0,0,0,9,0,0,0,5,0,0, - 0,67,0,0,0,115,170,0,0,0,124,4,100,1,107,2, - 114,18,116,0,124,0,131,1,125,5,110,36,124,1,100,2, - 107,9,114,30,124,1,110,2,105,0,125,6,116,1,124,6, - 131,1,125,7,116,0,124,0,124,7,124,4,131,3,125,5, - 124,3,115,154,124,4,100,1,107,2,114,86,116,0,124,0, - 106,2,100,3,131,1,100,1,25,0,131,1,83,0,113,166, - 124,0,115,96,124,5,83,0,113,166,116,3,124,0,131,1, - 116,3,124,0,106,2,100,3,131,1,100,1,25,0,131,1, - 24,0,125,8,116,4,106,5,124,5,106,6,100,2,116,3, - 124,5,106,6,131,1,124,8,24,0,133,2,25,0,25,0, - 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116,101,115,32,111,110,32,116,104,101,32,109,111,100,117,108, - 101,10,32,32,32,32,98,101,105,110,103,32,105,109,112,111, - 114,116,101,100,32,40,101,46,103,46,32,96,96,102,114,111, - 109,32,109,111,100,117,108,101,32,105,109,112,111,114,116,32, - 60,102,114,111,109,108,105,115,116,62,96,96,41,46,32,32, - 84,104,101,32,39,108,101,118,101,108,39,10,32,32,32,32, - 97,114,103,117,109,101,110,116,32,114,101,112,114,101,115,101, - 110,116,115,32,116,104,101,32,112,97,99,107,97,103,101,32, - 108,111,99,97,116,105,111,110,32,116,111,32,105,109,112,111, - 114,116,32,102,114,111,109,32,105,110,32,97,32,114,101,108, - 97,116,105,118,101,10,32,32,32,32,105,109,112,111,114,116, - 32,40,101,46,103,46,32,96,96,102,114,111,109,32,46,46, - 112,107,103,32,105,109,112,111,114,116,32,109,111,100,96,96, - 32,119,111,117,108,100,32,104,97,118,101,32,97,32,39,108, - 101,118,101,108,39,32,111,102,32,50,41,46,10,10,32,32, - 32,32,114,33,0,0,0,78,114,121,0,0,0,41,8,114, - 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100,117,108,101,10,32,32,32,32,98,101,105,110,103,32,105, + 109,112,111,114,116,101,100,32,40,101,46,103,46,32,96,96, + 102,114,111,109,32,109,111,100,117,108,101,32,105,109,112,111, + 114,116,32,60,102,114,111,109,108,105,115,116,62,96,96,41, + 46,32,32,84,104,101,32,39,108,101,118,101,108,39,10,32, + 32,32,32,97,114,103,117,109,101,110,116,32,114,101,112,114, + 101,115,101,110,116,115,32,116,104,101,32,112,97,99,107,97, + 103,101,32,108,111,99,97,116,105,111,110,32,116,111,32,105, + 109,112,111,114,116,32,102,114,111,109,32,105,110,32,97,32, + 114,101,108,97,116,105,118,101,10,32,32,32,32,105,109,112, + 111,114,116,32,40,101,46,103,46,32,96,96,102,114,111,109, + 32,46,46,112,107,103,32,105,109,112,111,114,116,32,109,111, + 100,96,96,32,119,111,117,108,100,32,104,97,118,101,32,97, + 32,39,108,101,118,101,108,39,32,111,102,32,50,41,46,10, + 10,32,32,32,32,114,33,0,0,0,78,114,121,0,0,0, + 41,8,114,187,0,0,0,114,199,0,0,0,218,9,112,97, + 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, + 41,9,114,15,0,0,0,114,198,0,0,0,218,6,108,111, + 99,97,108,115,114,193,0,0,0,114,171,0,0,0,114,89, + 0,0,0,90,8,103,108,111,98,97,108,115,95,114,170,0, + 0,0,90,7,99,117,116,95,111,102,102,114,10,0,0,0, + 114,10,0,0,0,114,11,0,0,0,218,10,95,95,105,109, + 112,111,114,116,95,95,41,4,0,0,115,26,0,0,0,0, + 11,8,1,10,2,16,1,8,1,12,1,4,3,8,1,20, + 1,4,1,6,4,26,3,32,2,114,202,0,0,0,99,1, + 0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,67, + 0,0,0,115,38,0,0,0,116,0,106,1,124,0,131,1, + 125,1,124,1,100,0,107,8,114,30,116,2,100,1,124,0, + 23,0,131,1,130,1,116,3,124,1,131,1,83,0,41,2, + 78,122,25,110,111,32,98,117,105,108,116,45,105,110,32,109, + 111,100,117,108,101,32,110,97,109,101,100,32,41,4,114,151, + 0,0,0,114,155,0,0,0,114,77,0,0,0,114,150,0, + 0,0,41,2,114,15,0,0,0,114,88,0,0,0,114,10, + 0,0,0,114,10,0,0,0,114,11,0,0,0,218,18,95, + 98,117,105,108,116,105,110,95,102,114,111,109,95,110,97,109, + 101,76,4,0,0,115,8,0,0,0,0,1,10,1,8,1, + 12,1,114,203,0,0,0,99,2,0,0,0,0,0,0,0, + 12,0,0,0,12,0,0,0,67,0,0,0,115,244,0,0, + 0,124,1,97,0,124,0,97,1,116,2,116,1,131,1,125, + 2,120,86,116,1,106,3,106,4,131,0,68,0,93,72,92, + 2,125,3,125,4,116,5,124,4,124,2,131,2,114,28,124, + 3,116,1,106,6,107,6,114,62,116,7,125,5,110,18,116, + 0,106,8,124,3,131,1,114,28,116,9,125,5,110,2,113, + 28,116,10,124,4,124,5,131,2,125,6,116,11,124,6,124, + 4,131,2,1,0,113,28,87,0,116,1,106,3,116,12,25, + 0,125,7,120,54,100,5,68,0,93,46,125,8,124,8,116, + 1,106,3,107,7,114,144,116,13,124,8,131,1,125,9,110, + 10,116,1,106,3,124,8,25,0,125,9,116,14,124,7,124, + 8,124,9,131,3,1,0,113,120,87,0,121,12,116,13,100, + 2,131,1,125,10,87,0,110,24,4,0,116,15,107,10,114, + 206,1,0,1,0,1,0,100,3,125,10,89,0,110,2,88, + 0,116,14,124,7,100,2,124,10,131,3,1,0,116,13,100, + 4,131,1,125,11,116,14,124,7,100,4,124,11,131,3,1, + 0,100,3,83,0,41,6,122,250,83,101,116,117,112,32,105, + 109,112,111,114,116,108,105,98,32,98,121,32,105,109,112,111, + 114,116,105,110,103,32,110,101,101,100,101,100,32,98,117,105, + 108,116,45,105,110,32,109,111,100,117,108,101,115,32,97,110, + 100,32,105,110,106,101,99,116,105,110,103,32,116,104,101,109, + 10,32,32,32,32,105,110,116,111,32,116,104,101,32,103,108, + 111,98,97,108,32,110,97,109,101,115,112,97,99,101,46,10, + 10,32,32,32,32,65,115,32,115,121,115,32,105,115,32,110, + 101,101,100,101,100,32,102,111,114,32,115,121,115,46,109,111, + 100,117,108,101,115,32,97,99,99,101,115,115,32,97,110,100, + 32,95,105,109,112,32,105,115,32,110,101,101,100,101,100,32, + 116,111,32,108,111,97,100,32,98,117,105,108,116,45,105,110, + 10,32,32,32,32,109,111,100,117,108,101,115,44,32,116,104, + 111,115,101,32,116,119,111,32,109,111,100,117,108,101,115,32, + 109,117,115,116,32,98,101,32,101,120,112,108,105,99,105,116, + 108,121,32,112,97,115,115,101,100,32,105,110,46,10,10,32, + 32,32,32,114,142,0,0,0,114,34,0,0,0,78,114,62, + 0,0,0,41,1,122,9,95,119,97,114,110,105,110,103,115, + 41,16,114,57,0,0,0,114,14,0,0,0,114,13,0,0, + 0,114,21,0,0,0,218,5,105,116,101,109,115,114,178,0, + 0,0,114,76,0,0,0,114,151,0,0,0,114,82,0,0, + 0,114,161,0,0,0,114,132,0,0,0,114,137,0,0,0, + 114,1,0,0,0,114,203,0,0,0,114,5,0,0,0,114, + 77,0,0,0,41,12,218,10,115,121,115,95,109,111,100,117, + 108,101,218,11,95,105,109,112,95,109,111,100,117,108,101,90, + 11,109,111,100,117,108,101,95,116,121,112,101,114,15,0,0, + 0,114,89,0,0,0,114,99,0,0,0,114,88,0,0,0, + 90,11,115,101,108,102,95,109,111,100,117,108,101,90,12,98, + 117,105,108,116,105,110,95,110,97,109,101,90,14,98,117,105, + 108,116,105,110,95,109,111,100,117,108,101,90,13,116,104,114, + 101,97,100,95,109,111,100,117,108,101,90,14,119,101,97,107, + 114,101,102,95,109,111,100,117,108,101,114,10,0,0,0,114, + 10,0,0,0,114,11,0,0,0,218,6,95,115,101,116,117, + 112,83,4,0,0,115,50,0,0,0,0,9,4,1,4,3, + 8,1,20,1,10,1,10,1,6,1,10,1,6,2,2,1, + 10,1,14,3,10,1,10,1,10,1,10,2,10,1,16,3, + 2,1,12,1,14,2,10,1,12,3,8,1,114,207,0,0, + 0,99,2,0,0,0,0,0,0,0,3,0,0,0,3,0, + 0,0,67,0,0,0,115,66,0,0,0,116,0,124,0,124, + 1,131,2,1,0,116,1,106,2,106,3,116,4,131,1,1, + 0,116,1,106,2,106,3,116,5,131,1,1,0,100,1,100, + 2,108,6,125,2,124,2,97,7,124,2,106,8,116,1,106, + 9,116,10,25,0,131,1,1,0,100,2,83,0,41,3,122, + 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, + 114,116,46,114,33,0,0,0,78,41,11,114,207,0,0,0, + 114,14,0,0,0,114,175,0,0,0,114,113,0,0,0,114, + 151,0,0,0,114,161,0,0,0,218,26,95,102,114,111,122, + 101,110,95,105,109,112,111,114,116,108,105,98,95,101,120,116, + 101,114,110,97,108,114,119,0,0,0,218,8,95,105,110,115, + 116,97,108,108,114,21,0,0,0,114,1,0,0,0,41,3, + 114,205,0,0,0,114,206,0,0,0,114,208,0,0,0,114, + 10,0,0,0,114,10,0,0,0,114,11,0,0,0,114,209, + 0,0,0,130,4,0,0,115,12,0,0,0,0,2,10,2, + 12,1,12,3,8,1,4,1,114,209,0,0,0,41,2,78, + 78,41,1,78,41,2,78,114,33,0,0,0,41,51,114,3, + 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, + 0,0,0,114,187,0,0,0,114,195,0,0,0,114,199,0, + 0,0,114,202,0,0,0,114,203,0,0,0,114,207,0,0, + 0,114,209,0,0,0,114,10,0,0,0,114,10,0,0,0, + 114,10,0,0,0,114,11,0,0,0,218,8,60,109,111,100, + 117,108,101,62,8,0,0,0,115,96,0,0,0,4,17,4, + 2,8,8,8,4,14,20,4,2,4,3,16,4,14,68,14, + 21,14,19,8,19,8,19,8,11,14,8,8,11,8,12,8, + 16,8,36,14,27,14,101,16,26,6,3,10,45,14,60,8, + 18,8,17,8,25,8,29,8,23,8,16,14,73,14,77,14, + 13,8,9,8,9,10,47,8,20,4,1,8,2,8,27,8, + 6,10,24,8,32,8,27,18,35,8,7,8,47, }; diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 4fe2a982da..a79012f85d 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -242,7 +242,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,95,97,116,111,109,105,99,106,0,0,0,115,26,0,0, 0,0,5,16,1,6,1,26,1,2,3,14,1,20,1,16, 1,14,1,2,1,14,1,14,1,6,1,114,58,0,0,0, - 105,44,13,0,0,233,2,0,0,0,114,15,0,0,0,115, + 105,45,13,0,0,233,2,0,0,0,114,15,0,0,0,115, 2,0,0,0,13,10,90,11,95,95,112,121,99,97,99,104, 101,95,95,122,4,111,112,116,45,122,3,46,112,121,122,4, 46,112,121,99,78,41,1,218,12,111,112,116,105,109,105,122, @@ -344,7 +344,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 114,4,0,0,0,114,6,0,0,0,218,17,99,97,99,104, - 101,95,102,114,111,109,95,115,111,117,114,99,101,0,1,0, + 101,95,102,114,111,109,95,115,111,117,114,99,101,1,1,0, 0,115,46,0,0,0,0,18,8,1,6,1,6,1,8,1, 4,1,8,1,12,1,12,1,16,1,8,1,8,1,8,1, 24,1,8,1,12,1,6,2,8,1,8,1,8,1,8,1, @@ -417,7 +417,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 4,0,0,0,114,6,0,0,0,218,17,115,111,117,114,99, - 101,95,102,114,111,109,95,99,97,99,104,101,44,1,0,0, + 101,95,102,114,111,109,95,99,97,99,104,101,45,1,0,0, 115,44,0,0,0,0,9,12,1,8,1,12,1,12,1,8, 1,6,1,10,1,10,1,8,1,6,1,10,1,8,1,16, 1,10,1,6,1,8,1,16,1,8,1,6,1,8,1,14, @@ -453,7 +453,7 @@ const unsigned char _Py_M__importlib_external[] = { 110,115,105,111,110,218,11,115,111,117,114,99,101,95,112,97, 116,104,114,4,0,0,0,114,4,0,0,0,114,6,0,0, 0,218,15,95,103,101,116,95,115,111,117,114,99,101,102,105, - 108,101,77,1,0,0,115,20,0,0,0,0,7,12,1,4, + 108,101,78,1,0,0,115,20,0,0,0,0,7,12,1,4, 1,16,1,26,1,4,1,2,1,12,1,18,1,18,1,114, 94,0,0,0,99,1,0,0,0,0,0,0,0,1,0,0, 0,11,0,0,0,67,0,0,0,115,74,0,0,0,124,0, @@ -466,7 +466,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,82,0,0,0,114,69,0,0,0,114,77,0, 0,0,41,1,218,8,102,105,108,101,110,97,109,101,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,218,11,95, - 103,101,116,95,99,97,99,104,101,100,96,1,0,0,115,16, + 103,101,116,95,99,97,99,104,101,100,97,1,0,0,115,16, 0,0,0,0,1,14,1,2,1,8,1,14,1,8,1,14, 1,6,2,114,98,0,0,0,99,1,0,0,0,0,0,0, 0,2,0,0,0,11,0,0,0,67,0,0,0,115,52,0, @@ -480,7 +480,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,233,128,0,0,0,41,3,114,41,0,0,0,114,43, 0,0,0,114,42,0,0,0,41,2,114,37,0,0,0,114, 44,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,218,10,95,99,97,108,99,95,109,111,100,101,108, + 0,0,0,218,10,95,99,97,108,99,95,109,111,100,101,109, 1,0,0,115,12,0,0,0,0,2,2,1,14,1,14,1, 10,3,8,1,114,100,0,0,0,99,1,0,0,0,0,0, 0,0,3,0,0,0,11,0,0,0,3,0,0,0,115,68, @@ -518,7 +518,7 @@ const unsigned char _Py_M__importlib_external[] = { 103,115,90,6,107,119,97,114,103,115,41,1,218,6,109,101, 116,104,111,100,114,4,0,0,0,114,6,0,0,0,218,19, 95,99,104,101,99,107,95,110,97,109,101,95,119,114,97,112, - 112,101,114,128,1,0,0,115,12,0,0,0,0,1,8,1, + 112,101,114,129,1,0,0,115,12,0,0,0,0,1,8,1, 8,1,10,1,4,1,20,1,122,40,95,99,104,101,99,107, 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, @@ -538,7 +538,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 108,100,114,55,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,218,5,95,119,114,97,112,139,1,0, + 0,114,6,0,0,0,218,5,95,119,114,97,112,140,1,0, 0,115,8,0,0,0,0,1,10,1,10,1,22,1,122,26, 95,99,104,101,99,107,95,110,97,109,101,46,60,108,111,99, 97,108,115,62,46,95,119,114,97,112,41,1,78,41,3,218, @@ -546,7 +546,7 @@ const unsigned char _Py_M__importlib_external[] = { 218,9,78,97,109,101,69,114,114,111,114,41,3,114,105,0, 0,0,114,106,0,0,0,114,116,0,0,0,114,4,0,0, 0,41,1,114,105,0,0,0,114,6,0,0,0,218,11,95, - 99,104,101,99,107,95,110,97,109,101,120,1,0,0,115,14, + 99,104,101,99,107,95,110,97,109,101,121,1,0,0,115,14, 0,0,0,0,8,14,7,2,1,10,1,14,2,14,5,10, 1,114,119,0,0,0,99,2,0,0,0,0,0,0,0,5, 0,0,0,4,0,0,0,67,0,0,0,115,60,0,0,0, @@ -574,7 +574,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 0,0,0,114,6,0,0,0,218,17,95,102,105,110,100,95, - 109,111,100,117,108,101,95,115,104,105,109,148,1,0,0,115, + 109,111,100,117,108,101,95,115,104,105,109,149,1,0,0,115, 10,0,0,0,0,10,14,1,16,1,4,1,22,1,114,126, 0,0,0,99,4,0,0,0,0,0,0,0,11,0,0,0, 19,0,0,0,67,0,0,0,115,128,1,0,0,105,0,125, @@ -654,7 +654,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,111,117,114,99,101,95,115,105,122,101,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,25,95,118,97,108, 105,100,97,116,101,95,98,121,116,101,99,111,100,101,95,104, - 101,97,100,101,114,165,1,0,0,115,76,0,0,0,0,11, + 101,97,100,101,114,166,1,0,0,115,76,0,0,0,0,11, 4,1,8,1,10,3,4,1,8,1,8,1,12,1,12,1, 12,1,8,1,12,1,12,1,12,1,12,1,10,1,12,1, 10,1,12,1,10,1,12,1,8,1,10,1,2,1,16,1, @@ -683,7 +683,7 @@ const unsigned char _Py_M__importlib_external[] = { 41,5,114,56,0,0,0,114,101,0,0,0,114,92,0,0, 0,114,93,0,0,0,218,4,99,111,100,101,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,17,95,99,111, - 109,112,105,108,101,95,98,121,116,101,99,111,100,101,220,1, + 109,112,105,108,101,95,98,121,116,101,99,111,100,101,221,1, 0,0,115,16,0,0,0,0,2,10,1,10,1,12,1,8, 1,12,1,6,2,12,1,114,144,0,0,0,114,62,0,0, 0,99,3,0,0,0,0,0,0,0,4,0,0,0,3,0, @@ -702,7 +702,7 @@ const unsigned char _Py_M__importlib_external[] = { 112,115,41,4,114,143,0,0,0,114,129,0,0,0,114,137, 0,0,0,114,56,0,0,0,114,4,0,0,0,114,4,0, 0,0,114,6,0,0,0,218,17,95,99,111,100,101,95,116, - 111,95,98,121,116,101,99,111,100,101,232,1,0,0,115,10, + 111,95,98,121,116,101,99,111,100,101,233,1,0,0,115,10, 0,0,0,0,3,8,1,14,1,14,1,16,1,114,147,0, 0,0,99,1,0,0,0,0,0,0,0,5,0,0,0,4, 0,0,0,67,0,0,0,115,62,0,0,0,100,1,100,2, @@ -729,7 +729,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 0,0,114,4,0,0,0,114,6,0,0,0,218,13,100,101, - 99,111,100,101,95,115,111,117,114,99,101,242,1,0,0,115, + 99,111,100,101,95,115,111,117,114,99,101,243,1,0,0,115, 10,0,0,0,0,5,8,1,12,1,10,1,12,1,114,152, 0,0,0,41,2,114,123,0,0,0,218,26,115,117,98,109, 111,100,117,108,101,95,115,101,97,114,99,104,95,108,111,99, @@ -789,7 +789,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,117,102,102,105,120,101,115,114,156,0,0,0,90,7,100, 105,114,110,97,109,101,114,4,0,0,0,114,4,0,0,0, 114,6,0,0,0,218,23,115,112,101,99,95,102,114,111,109, - 95,102,105,108,101,95,108,111,99,97,116,105,111,110,3,2, + 95,102,105,108,101,95,108,111,99,97,116,105,111,110,4,2, 0,0,115,60,0,0,0,0,12,8,4,4,1,10,2,2, 1,14,1,14,1,6,8,18,1,6,3,8,1,16,1,14, 1,10,1,6,1,6,2,4,3,8,2,10,1,2,1,14, @@ -826,7 +826,7 @@ const unsigned char _Py_M__importlib_external[] = { 67,65,76,95,77,65,67,72,73,78,69,41,2,218,3,99, 108,115,114,5,0,0,0,114,4,0,0,0,114,4,0,0, 0,114,6,0,0,0,218,14,95,111,112,101,110,95,114,101, - 103,105,115,116,114,121,81,2,0,0,115,8,0,0,0,0, + 103,105,115,116,114,121,82,2,0,0,115,8,0,0,0,0, 2,2,1,14,1,14,1,122,36,87,105,110,100,111,119,115, 82,101,103,105,115,116,114,121,70,105,110,100,101,114,46,95, 111,112,101,110,95,114,101,103,105,115,116,114,121,99,2,0, @@ -852,7 +852,7 @@ const unsigned char _Py_M__importlib_external[] = { 5,0,0,0,90,4,104,107,101,121,218,8,102,105,108,101, 112,97,116,104,114,4,0,0,0,114,4,0,0,0,114,6, 0,0,0,218,16,95,115,101,97,114,99,104,95,114,101,103, - 105,115,116,114,121,88,2,0,0,115,22,0,0,0,0,2, + 105,115,116,114,121,89,2,0,0,115,22,0,0,0,0,2, 6,1,8,2,6,1,10,1,22,1,2,1,12,1,26,1, 14,1,6,1,122,38,87,105,110,100,111,119,115,82,101,103, 105,115,116,114,121,70,105,110,100,101,114,46,95,115,101,97, @@ -874,7 +874,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,218,6,116,97,114,103,101,116,114,173,0,0,0,114,123, 0,0,0,114,163,0,0,0,114,161,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,9,102,105, - 110,100,95,115,112,101,99,103,2,0,0,115,26,0,0,0, + 110,100,95,115,112,101,99,104,2,0,0,115,26,0,0,0, 0,2,10,1,8,1,4,1,2,1,12,1,14,1,6,1, 16,1,14,1,6,1,10,1,8,1,122,31,87,105,110,100, 111,119,115,82,101,103,105,115,116,114,121,70,105,110,100,101, @@ -893,7 +893,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,123,0,0,0,41,4,114,167,0,0,0,114,122,0, 0,0,114,37,0,0,0,114,161,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,11,102,105,110, - 100,95,109,111,100,117,108,101,119,2,0,0,115,8,0,0, + 100,95,109,111,100,117,108,101,120,2,0,0,115,8,0,0, 0,0,7,12,1,8,1,8,2,122,33,87,105,110,100,111, 119,115,82,101,103,105,115,116,114,121,70,105,110,100,101,114, 46,102,105,110,100,95,109,111,100,117,108,101,41,2,78,78, @@ -903,7 +903,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,116,104,111,100,114,168,0,0,0,114,174,0,0,0,114, 177,0,0,0,114,178,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,165,0, - 0,0,69,2,0,0,115,20,0,0,0,8,2,4,3,4, + 0,0,70,2,0,0,115,20,0,0,0,8,2,4,3,4, 3,4,2,4,2,12,7,12,15,2,1,12,15,2,1,114, 165,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, 0,2,0,0,0,64,0,0,0,115,48,0,0,0,101,0, @@ -938,7 +938,7 @@ const unsigned char _Py_M__importlib_external[] = { 97,0,0,0,90,13,102,105,108,101,110,97,109,101,95,98, 97,115,101,90,9,116,97,105,108,95,110,97,109,101,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,156,0, - 0,0,138,2,0,0,115,8,0,0,0,0,3,18,1,16, + 0,0,139,2,0,0,115,8,0,0,0,0,3,18,1,16, 1,14,1,122,24,95,76,111,97,100,101,114,66,97,115,105, 99,115,46,105,115,95,112,97,99,107,97,103,101,99,2,0, 0,0,0,0,0,0,2,0,0,0,1,0,0,0,67,0, @@ -948,7 +948,7 @@ const unsigned char _Py_M__importlib_external[] = { 99,114,101,97,116,105,111,110,46,78,114,4,0,0,0,41, 2,114,103,0,0,0,114,161,0,0,0,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,13,99,114,101,97, - 116,101,95,109,111,100,117,108,101,146,2,0,0,115,0,0, + 116,101,95,109,111,100,117,108,101,147,2,0,0,115,0,0, 0,0,122,27,95,76,111,97,100,101,114,66,97,115,105,99, 115,46,99,114,101,97,116,101,95,109,111,100,117,108,101,99, 2,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0, @@ -968,7 +968,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,114,0,0,0,41,3,114,103,0,0,0,218,6,109,111, 100,117,108,101,114,143,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,6,0,0,0,218,11,101,120,101,99,95,109, - 111,100,117,108,101,149,2,0,0,115,10,0,0,0,0,2, + 111,100,117,108,101,150,2,0,0,115,10,0,0,0,0,2, 12,1,8,1,6,1,10,1,122,25,95,76,111,97,100,101, 114,66,97,115,105,99,115,46,101,120,101,99,95,109,111,100, 117,108,101,99,2,0,0,0,0,0,0,0,2,0,0,0, @@ -979,14 +979,14 @@ const unsigned char _Py_M__importlib_external[] = { 95,108,111,97,100,95,109,111,100,117,108,101,95,115,104,105, 109,41,2,114,103,0,0,0,114,122,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,11,108,111, - 97,100,95,109,111,100,117,108,101,157,2,0,0,115,2,0, + 97,100,95,109,111,100,117,108,101,158,2,0,0,115,2,0, 0,0,0,2,122,25,95,76,111,97,100,101,114,66,97,115, 105,99,115,46,108,111,97,100,95,109,111,100,117,108,101,78, 41,8,114,108,0,0,0,114,107,0,0,0,114,109,0,0, 0,114,110,0,0,0,114,156,0,0,0,114,182,0,0,0, 114,187,0,0,0,114,189,0,0,0,114,4,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,180, - 0,0,0,133,2,0,0,115,10,0,0,0,8,3,4,2, + 0,0,0,134,2,0,0,115,10,0,0,0,8,3,4,2, 8,8,8,3,8,8,114,180,0,0,0,99,0,0,0,0, 0,0,0,0,0,0,0,0,3,0,0,0,64,0,0,0, 115,74,0,0,0,101,0,90,1,100,0,90,2,100,1,100, @@ -1011,7 +1011,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,32,32,32,78,41,1,218,7,73,79,69,114, 114,111,114,41,2,114,103,0,0,0,114,37,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,10, - 112,97,116,104,95,109,116,105,109,101,164,2,0,0,115,2, + 112,97,116,104,95,109,116,105,109,101,165,2,0,0,115,2, 0,0,0,0,6,122,23,83,111,117,114,99,101,76,111,97, 100,101,114,46,112,97,116,104,95,109,116,105,109,101,99,2, 0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,67, @@ -1046,7 +1046,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,32,32,32,114,129,0,0,0,41,1,114,192, 0,0,0,41,2,114,103,0,0,0,114,37,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,10, - 112,97,116,104,95,115,116,97,116,115,172,2,0,0,115,2, + 112,97,116,104,95,115,116,97,116,115,173,2,0,0,115,2, 0,0,0,0,11,122,23,83,111,117,114,99,101,76,111,97, 100,101,114,46,112,97,116,104,95,115,116,97,116,115,99,4, 0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,67, @@ -1070,7 +1070,7 @@ const unsigned char _Py_M__importlib_external[] = { 93,0,0,0,90,10,99,97,99,104,101,95,112,97,116,104, 114,56,0,0,0,114,4,0,0,0,114,4,0,0,0,114, 6,0,0,0,218,15,95,99,97,99,104,101,95,98,121,116, - 101,99,111,100,101,185,2,0,0,115,2,0,0,0,0,8, + 101,99,111,100,101,186,2,0,0,115,2,0,0,0,0,8, 122,28,83,111,117,114,99,101,76,111,97,100,101,114,46,95, 99,97,99,104,101,95,98,121,116,101,99,111,100,101,99,3, 0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,67, @@ -1087,7 +1087,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,32,32,78,114,4,0,0,0,41,3,114,103, 0,0,0,114,37,0,0,0,114,56,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,194,0,0, - 0,195,2,0,0,115,0,0,0,0,122,21,83,111,117,114, + 0,196,2,0,0,115,0,0,0,0,122,21,83,111,117,114, 99,101,76,111,97,100,101,114,46,115,101,116,95,100,97,116, 97,99,2,0,0,0,0,0,0,0,5,0,0,0,16,0, 0,0,67,0,0,0,115,84,0,0,0,124,0,106,0,124, @@ -1107,7 +1107,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,152,0,0,0,41,5,114,103,0,0,0,114,122,0, 0,0,114,37,0,0,0,114,150,0,0,0,218,3,101,120, 99,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 218,10,103,101,116,95,115,111,117,114,99,101,202,2,0,0, + 218,10,103,101,116,95,115,111,117,114,99,101,203,2,0,0, 115,14,0,0,0,0,2,10,1,2,1,14,1,16,1,6, 1,28,1,122,23,83,111,117,114,99,101,76,111,97,100,101, 114,46,103,101,116,95,115,111,117,114,99,101,114,31,0,0, @@ -1129,7 +1129,7 @@ const unsigned char _Py_M__importlib_external[] = { 111,109,112,105,108,101,41,4,114,103,0,0,0,114,56,0, 0,0,114,37,0,0,0,114,199,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,14,115,111,117, - 114,99,101,95,116,111,95,99,111,100,101,212,2,0,0,115, + 114,99,101,95,116,111,95,99,111,100,101,213,2,0,0,115, 4,0,0,0,0,5,14,1,122,27,83,111,117,114,99,101, 76,111,97,100,101,114,46,115,111,117,114,99,101,95,116,111, 95,99,111,100,101,99,2,0,0,0,0,0,0,0,10,0, @@ -1186,7 +1186,7 @@ const unsigned char _Py_M__importlib_external[] = { 56,0,0,0,218,10,98,121,116,101,115,95,100,97,116,97, 114,150,0,0,0,90,11,99,111,100,101,95,111,98,106,101, 99,116,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,183,0,0,0,220,2,0,0,115,78,0,0,0,0, + 0,114,183,0,0,0,221,2,0,0,115,78,0,0,0,0, 7,10,1,4,1,2,1,12,1,14,1,10,2,2,1,14, 1,14,1,6,2,12,1,2,1,14,1,14,1,6,2,2, 1,6,1,8,1,12,1,18,1,6,2,8,1,6,1,10, @@ -1198,7 +1198,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,193,0,0,0,114,195,0,0,0,114,194,0,0,0,114, 198,0,0,0,114,202,0,0,0,114,183,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,114,190,0,0,0,162,2,0,0,115,14,0,0,0, + 0,0,114,190,0,0,0,163,2,0,0,115,14,0,0,0, 8,2,8,8,8,13,8,10,8,7,8,10,14,8,114,190, 0,0,0,99,0,0,0,0,0,0,0,0,0,0,0,0, 4,0,0,0,0,0,0,0,115,76,0,0,0,101,0,90, @@ -1224,7 +1224,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,102,105,110,100,101,114,46,78,41,2,114,101,0,0, 0,114,37,0,0,0,41,3,114,103,0,0,0,114,122,0, 0,0,114,37,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,181,0,0,0,21,3,0,0,115, + 0,114,6,0,0,0,114,181,0,0,0,22,3,0,0,115, 4,0,0,0,0,3,6,1,122,19,70,105,108,101,76,111, 97,100,101,114,46,95,95,105,110,105,116,95,95,99,2,0, 0,0,0,0,0,0,2,0,0,0,2,0,0,0,67,0, @@ -1233,7 +1233,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,78,41,2,218,9,95,95,99,108,97,115,115,95,95,114, 114,0,0,0,41,2,114,103,0,0,0,218,5,111,116,104, 101,114,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,218,6,95,95,101,113,95,95,27,3,0,0,115,4,0, + 0,218,6,95,95,101,113,95,95,28,3,0,0,115,4,0, 0,0,0,1,12,1,122,17,70,105,108,101,76,111,97,100, 101,114,46,95,95,101,113,95,95,99,1,0,0,0,0,0, 0,0,1,0,0,0,3,0,0,0,67,0,0,0,115,20, @@ -1241,7 +1241,7 @@ const unsigned char _Py_M__importlib_external[] = { 2,131,1,65,0,83,0,41,1,78,41,3,218,4,104,97, 115,104,114,101,0,0,0,114,37,0,0,0,41,1,114,103, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,8,95,95,104,97,115,104,95,95,31,3,0,0, + 0,0,218,8,95,95,104,97,115,104,95,95,32,3,0,0, 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, @@ -1256,7 +1256,7 @@ const unsigned char _Py_M__importlib_external[] = { 218,5,115,117,112,101,114,114,206,0,0,0,114,189,0,0, 0,41,2,114,103,0,0,0,114,122,0,0,0,41,1,114, 207,0,0,0,114,4,0,0,0,114,6,0,0,0,114,189, - 0,0,0,34,3,0,0,115,2,0,0,0,0,10,122,22, + 0,0,0,35,3,0,0,115,2,0,0,0,0,10,122,22, 70,105,108,101,76,111,97,100,101,114,46,108,111,97,100,95, 109,111,100,117,108,101,99,2,0,0,0,0,0,0,0,2, 0,0,0,1,0,0,0,67,0,0,0,115,6,0,0,0, @@ -1266,7 +1266,7 @@ const unsigned char _Py_M__importlib_external[] = { 102,111,117,110,100,32,98,121,32,116,104,101,32,102,105,110, 100,101,114,46,41,1,114,37,0,0,0,41,2,114,103,0, 0,0,114,122,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,154,0,0,0,46,3,0,0,115, + 0,114,6,0,0,0,114,154,0,0,0,47,3,0,0,115, 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, @@ -1278,7 +1278,7 @@ const unsigned char _Py_M__importlib_external[] = { 116,101,115,46,218,1,114,78,41,3,114,52,0,0,0,114, 53,0,0,0,90,4,114,101,97,100,41,3,114,103,0,0, 0,114,37,0,0,0,114,57,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,196,0,0,0,51, + 114,4,0,0,0,114,6,0,0,0,114,196,0,0,0,52, 3,0,0,115,4,0,0,0,0,2,14,1,122,19,70,105, 108,101,76,111,97,100,101,114,46,103,101,116,95,100,97,116, 97,41,11,114,108,0,0,0,114,107,0,0,0,114,109,0, @@ -1286,7 +1286,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,211,0,0,0,114,119,0,0,0,114,189,0,0,0, 114,154,0,0,0,114,196,0,0,0,114,4,0,0,0,114, 4,0,0,0,41,1,114,207,0,0,0,114,6,0,0,0, - 114,206,0,0,0,16,3,0,0,115,14,0,0,0,8,3, + 114,206,0,0,0,17,3,0,0,115,14,0,0,0,8,3, 4,2,8,6,8,4,8,3,16,12,12,5,114,206,0,0, 0,99,0,0,0,0,0,0,0,0,0,0,0,0,3,0, 0,0,64,0,0,0,115,46,0,0,0,101,0,90,1,100, @@ -1308,7 +1308,7 @@ const unsigned char _Py_M__importlib_external[] = { 109,101,90,7,115,116,95,115,105,122,101,41,3,114,103,0, 0,0,114,37,0,0,0,114,204,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,114,193,0,0,0, - 61,3,0,0,115,4,0,0,0,0,2,8,1,122,27,83, + 62,3,0,0,115,4,0,0,0,0,2,8,1,122,27,83, 111,117,114,99,101,70,105,108,101,76,111,97,100,101,114,46, 112,97,116,104,95,115,116,97,116,115,99,4,0,0,0,0, 0,0,0,5,0,0,0,5,0,0,0,67,0,0,0,115, @@ -1318,7 +1318,7 @@ const unsigned char _Py_M__importlib_external[] = { 194,0,0,0,41,5,114,103,0,0,0,114,93,0,0,0, 114,92,0,0,0,114,56,0,0,0,114,44,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,195, - 0,0,0,66,3,0,0,115,4,0,0,0,0,2,8,1, + 0,0,0,67,3,0,0,115,4,0,0,0,0,2,8,1, 122,32,83,111,117,114,99,101,70,105,108,101,76,111,97,100, 101,114,46,95,99,97,99,104,101,95,98,121,116,101,99,111, 100,101,105,182,1,0,0,41,1,114,216,0,0,0,99,3, @@ -1352,7 +1352,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,37,0,0,0,114,56,0,0,0,114,216,0,0,0,218, 6,112,97,114,101,110,116,114,97,0,0,0,114,29,0,0, 0,114,25,0,0,0,114,197,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,194,0,0,0,71, + 114,4,0,0,0,114,6,0,0,0,114,194,0,0,0,72, 3,0,0,115,42,0,0,0,0,2,12,1,4,2,16,1, 12,1,14,2,14,1,10,1,2,1,14,1,14,2,6,1, 16,3,6,1,8,1,20,1,2,1,12,1,16,1,16,2, @@ -1361,7 +1361,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,108,0,0,0,114,107,0,0,0,114,109,0,0,0,114, 110,0,0,0,114,193,0,0,0,114,195,0,0,0,114,194, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,214,0,0,0,57,3,0,0, + 0,0,114,6,0,0,0,114,214,0,0,0,58,3,0,0, 115,8,0,0,0,8,2,4,2,8,5,8,5,114,214,0, 0,0,99,0,0,0,0,0,0,0,0,0,0,0,0,2, 0,0,0,64,0,0,0,115,32,0,0,0,101,0,90,1, @@ -1381,7 +1381,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,138,0,0,0,114,144,0,0,0,41,5,114, 103,0,0,0,114,122,0,0,0,114,37,0,0,0,114,56, 0,0,0,114,205,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,183,0,0,0,106,3,0,0, + 0,0,114,6,0,0,0,114,183,0,0,0,107,3,0,0, 115,8,0,0,0,0,1,10,1,10,1,18,1,122,29,83, 111,117,114,99,101,108,101,115,115,70,105,108,101,76,111,97, 100,101,114,46,103,101,116,95,99,111,100,101,99,2,0,0, @@ -1391,14 +1391,14 @@ const unsigned char _Py_M__importlib_external[] = { 114,101,32,105,115,32,110,111,32,115,111,117,114,99,101,32, 99,111,100,101,46,78,114,4,0,0,0,41,2,114,103,0, 0,0,114,122,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,198,0,0,0,112,3,0,0,115, + 0,114,6,0,0,0,114,198,0,0,0,113,3,0,0,115, 2,0,0,0,0,2,122,31,83,111,117,114,99,101,108,101, 115,115,70,105,108,101,76,111,97,100,101,114,46,103,101,116, 95,115,111,117,114,99,101,78,41,6,114,108,0,0,0,114, 107,0,0,0,114,109,0,0,0,114,110,0,0,0,114,183, 0,0,0,114,198,0,0,0,114,4,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,219,0,0, - 0,102,3,0,0,115,6,0,0,0,8,2,4,2,8,6, + 0,103,3,0,0,115,6,0,0,0,8,2,4,2,8,6, 114,219,0,0,0,99,0,0,0,0,0,0,0,0,0,0, 0,0,3,0,0,0,64,0,0,0,115,92,0,0,0,101, 0,90,1,100,0,90,2,100,1,90,3,100,2,100,3,132, @@ -1419,7 +1419,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,124,2,124,0,95,1,100,0,83,0,41,1,78,41,2, 114,101,0,0,0,114,37,0,0,0,41,3,114,103,0,0, 0,114,101,0,0,0,114,37,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,181,0,0,0,129, + 114,4,0,0,0,114,6,0,0,0,114,181,0,0,0,130, 3,0,0,115,4,0,0,0,0,1,6,1,122,28,69,120, 116,101,110,115,105,111,110,70,105,108,101,76,111,97,100,101, 114,46,95,95,105,110,105,116,95,95,99,2,0,0,0,0, @@ -1428,7 +1428,7 @@ const unsigned char _Py_M__importlib_external[] = { 124,0,106,1,124,1,106,1,107,2,83,0,41,1,78,41, 2,114,207,0,0,0,114,114,0,0,0,41,2,114,103,0, 0,0,114,208,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,209,0,0,0,133,3,0,0,115, + 0,114,6,0,0,0,114,209,0,0,0,134,3,0,0,115, 4,0,0,0,0,1,12,1,122,26,69,120,116,101,110,115, 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, @@ -1437,7 +1437,7 @@ const unsigned char _Py_M__importlib_external[] = { 83,0,41,1,78,41,3,114,210,0,0,0,114,101,0,0, 0,114,37,0,0,0,41,1,114,103,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,211,0,0, - 0,137,3,0,0,115,2,0,0,0,0,1,122,28,69,120, + 0,138,3,0,0,115,2,0,0,0,0,1,122,28,69,120, 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, @@ -1453,7 +1453,7 @@ const unsigned char _Py_M__importlib_external[] = { 97,116,101,95,100,121,110,97,109,105,99,114,132,0,0,0, 114,101,0,0,0,114,37,0,0,0,41,3,114,103,0,0, 0,114,161,0,0,0,114,186,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,182,0,0,0,140, + 114,4,0,0,0,114,6,0,0,0,114,182,0,0,0,141, 3,0,0,115,10,0,0,0,0,2,4,1,10,1,6,1, 12,1,122,33,69,120,116,101,110,115,105,111,110,70,105,108, 101,76,111,97,100,101,114,46,99,114,101,97,116,101,95,109, @@ -1470,7 +1470,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,90,12,101,120,101,99,95,100,121,110,97,109,105,99,114, 132,0,0,0,114,101,0,0,0,114,37,0,0,0,41,2, 114,103,0,0,0,114,186,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,187,0,0,0,148,3, + 4,0,0,0,114,6,0,0,0,114,187,0,0,0,149,3, 0,0,115,6,0,0,0,0,2,14,1,6,1,122,31,69, 120,116,101,110,115,105,111,110,70,105,108,101,76,111,97,100, 101,114,46,101,120,101,99,95,109,111,100,117,108,101,99,2, @@ -1488,7 +1488,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,78,114,4,0,0,0,41,2,114,24,0,0,0,218,6, 115,117,102,102,105,120,41,1,218,9,102,105,108,101,95,110, 97,109,101,114,4,0,0,0,114,6,0,0,0,250,9,60, - 103,101,110,101,120,112,114,62,157,3,0,0,115,2,0,0, + 103,101,110,101,120,112,114,62,158,3,0,0,115,2,0,0, 0,4,1,122,49,69,120,116,101,110,115,105,111,110,70,105, 108,101,76,111,97,100,101,114,46,105,115,95,112,97,99,107, 97,103,101,46,60,108,111,99,97,108,115,62,46,60,103,101, @@ -1496,7 +1496,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,218,3,97,110,121,218,18,69,88,84,69,78,83,73, 79,78,95,83,85,70,70,73,88,69,83,41,2,114,103,0, 0,0,114,122,0,0,0,114,4,0,0,0,41,1,114,222, - 0,0,0,114,6,0,0,0,114,156,0,0,0,154,3,0, + 0,0,0,114,6,0,0,0,114,156,0,0,0,155,3,0, 0,115,6,0,0,0,0,2,14,1,12,1,122,30,69,120, 116,101,110,115,105,111,110,70,105,108,101,76,111,97,100,101, 114,46,105,115,95,112,97,99,107,97,103,101,99,2,0,0, @@ -1508,7 +1508,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,99,111,100,101,32,111,98,106,101,99,116,46,78,114,4, 0,0,0,41,2,114,103,0,0,0,114,122,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,183, - 0,0,0,160,3,0,0,115,2,0,0,0,0,2,122,28, + 0,0,0,161,3,0,0,115,2,0,0,0,0,2,122,28, 69,120,116,101,110,115,105,111,110,70,105,108,101,76,111,97, 100,101,114,46,103,101,116,95,99,111,100,101,99,2,0,0, 0,0,0,0,0,2,0,0,0,1,0,0,0,67,0,0, @@ -1518,7 +1518,7 @@ const unsigned char _Py_M__importlib_external[] = { 97,118,101,32,110,111,32,115,111,117,114,99,101,32,99,111, 100,101,46,78,114,4,0,0,0,41,2,114,103,0,0,0, 114,122,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,198,0,0,0,164,3,0,0,115,2,0, + 6,0,0,0,114,198,0,0,0,165,3,0,0,115,2,0, 0,0,0,2,122,30,69,120,116,101,110,115,105,111,110,70, 105,108,101,76,111,97,100,101,114,46,103,101,116,95,115,111, 117,114,99,101,99,2,0,0,0,0,0,0,0,2,0,0, @@ -1529,7 +1529,7 @@ const unsigned char _Py_M__importlib_external[] = { 117,110,100,32,98,121,32,116,104,101,32,102,105,110,100,101, 114,46,41,1,114,37,0,0,0,41,2,114,103,0,0,0, 114,122,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,154,0,0,0,168,3,0,0,115,2,0, + 6,0,0,0,114,154,0,0,0,169,3,0,0,115,2,0, 0,0,0,3,122,32,69,120,116,101,110,115,105,111,110,70, 105,108,101,76,111,97,100,101,114,46,103,101,116,95,102,105, 108,101,110,97,109,101,78,41,14,114,108,0,0,0,114,107, @@ -1538,7 +1538,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,187,0,0,0,114,156,0,0,0,114,183,0,0,0, 114,198,0,0,0,114,119,0,0,0,114,154,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,220,0,0,0,121,3,0,0,115,20,0,0, + 0,0,0,114,220,0,0,0,122,3,0,0,115,20,0,0, 0,8,6,4,2,8,4,8,4,8,3,8,8,8,6,8, 6,8,4,8,4,114,220,0,0,0,99,0,0,0,0,0, 0,0,0,0,0,0,0,2,0,0,0,64,0,0,0,115, @@ -1579,7 +1579,7 @@ const unsigned char _Py_M__importlib_external[] = { 97,116,104,95,102,105,110,100,101,114,41,4,114,103,0,0, 0,114,101,0,0,0,114,37,0,0,0,218,11,112,97,116, 104,95,102,105,110,100,101,114,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,181,0,0,0,181,3,0,0, + 0,0,114,6,0,0,0,114,181,0,0,0,182,3,0,0, 115,8,0,0,0,0,1,6,1,6,1,14,1,122,23,95, 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, @@ -1597,7 +1597,7 @@ const unsigned char _Py_M__importlib_external[] = { 4,114,103,0,0,0,114,218,0,0,0,218,3,100,111,116, 90,2,109,101,114,4,0,0,0,114,4,0,0,0,114,6, 0,0,0,218,23,95,102,105,110,100,95,112,97,114,101,110, - 116,95,112,97,116,104,95,110,97,109,101,115,187,3,0,0, + 116,95,112,97,116,104,95,110,97,109,101,115,188,3,0,0, 115,8,0,0,0,0,2,18,1,8,2,4,3,122,38,95, 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, @@ -1610,7 +1610,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 97,109,101,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,114,229,0,0,0,197,3,0,0,115,4,0,0,0, + 0,0,114,229,0,0,0,198,3,0,0,115,4,0,0,0, 0,1,12,1,122,31,95,78,97,109,101,115,112,97,99,101, 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, @@ -1626,7 +1626,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,90,11,112,97,114,101,110,116,95,112,97,116,104, 114,161,0,0,0,114,4,0,0,0,114,4,0,0,0,114, 6,0,0,0,218,12,95,114,101,99,97,108,99,117,108,97, - 116,101,201,3,0,0,115,16,0,0,0,0,2,12,1,10, + 116,101,202,3,0,0,115,16,0,0,0,0,2,12,1,10, 1,14,3,18,1,6,1,8,1,6,1,122,27,95,78,97, 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, @@ -1634,7 +1634,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,116,0,124,0,106,1,131,0,131,1,83,0,41,1, 78,41,2,218,4,105,116,101,114,114,236,0,0,0,41,1, 114,103,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,218,8,95,95,105,116,101,114,95,95,214,3, + 6,0,0,0,218,8,95,95,105,116,101,114,95,95,215,3, 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, 95,95,99,3,0,0,0,0,0,0,0,3,0,0,0,3, @@ -1643,14 +1643,14 @@ const unsigned char _Py_M__importlib_external[] = { 228,0,0,0,41,3,114,103,0,0,0,218,5,105,110,100, 101,120,114,37,0,0,0,114,4,0,0,0,114,4,0,0, 0,114,6,0,0,0,218,11,95,95,115,101,116,105,116,101, - 109,95,95,217,3,0,0,115,2,0,0,0,0,1,122,26, + 109,95,95,218,3,0,0,115,2,0,0,0,0,1,122,26, 95,78,97,109,101,115,112,97,99,101,80,97,116,104,46,95, 95,115,101,116,105,116,101,109,95,95,99,1,0,0,0,0, 0,0,0,1,0,0,0,2,0,0,0,67,0,0,0,115, 12,0,0,0,116,0,124,0,106,1,131,0,131,1,83,0, 41,1,78,41,2,114,33,0,0,0,114,236,0,0,0,41, 1,114,103,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,218,7,95,95,108,101,110,95,95,220,3, + 114,6,0,0,0,218,7,95,95,108,101,110,95,95,221,3, 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, @@ -1659,7 +1659,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,115,112,97,99,101,80,97,116,104,40,123,33,114,125,41, 41,2,114,50,0,0,0,114,228,0,0,0,41,1,114,103, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,8,95,95,114,101,112,114,95,95,223,3,0,0, + 0,0,218,8,95,95,114,101,112,114,95,95,224,3,0,0, 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, @@ -1667,7 +1667,7 @@ const unsigned char _Py_M__importlib_external[] = { 131,0,107,6,83,0,41,1,78,41,1,114,236,0,0,0, 41,2,114,103,0,0,0,218,4,105,116,101,109,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,12,95,95, - 99,111,110,116,97,105,110,115,95,95,226,3,0,0,115,2, + 99,111,110,116,97,105,110,115,95,95,227,3,0,0,115,2, 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, @@ -1675,7 +1675,7 @@ const unsigned char _Py_M__importlib_external[] = { 106,1,124,1,131,1,1,0,100,0,83,0,41,1,78,41, 2,114,228,0,0,0,114,160,0,0,0,41,2,114,103,0, 0,0,114,243,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,160,0,0,0,229,3,0,0,115, + 0,114,6,0,0,0,114,160,0,0,0,230,3,0,0,115, 2,0,0,0,0,1,122,21,95,78,97,109,101,115,112,97, 99,101,80,97,116,104,46,97,112,112,101,110,100,78,41,14, 114,108,0,0,0,114,107,0,0,0,114,109,0,0,0,114, @@ -1683,7 +1683,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,236,0,0,0,114,238,0,0,0,114,240,0, 0,0,114,241,0,0,0,114,242,0,0,0,114,244,0,0, 0,114,160,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,226,0,0,0,174, + 114,4,0,0,0,114,6,0,0,0,114,226,0,0,0,175, 3,0,0,115,22,0,0,0,8,5,4,2,8,6,8,10, 8,4,8,13,8,3,8,3,8,3,8,3,8,3,114,226, 0,0,0,99,0,0,0,0,0,0,0,0,0,0,0,0, @@ -1700,7 +1700,7 @@ const unsigned char _Py_M__importlib_external[] = { 41,2,114,226,0,0,0,114,228,0,0,0,41,4,114,103, 0,0,0,114,101,0,0,0,114,37,0,0,0,114,232,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,181,0,0,0,235,3,0,0,115,2,0,0,0,0, + 0,114,181,0,0,0,236,3,0,0,115,2,0,0,0,0, 1,122,25,95,78,97,109,101,115,112,97,99,101,76,111,97, 100,101,114,46,95,95,105,110,105,116,95,95,99,2,0,0, 0,0,0,0,0,2,0,0,0,2,0,0,0,67,0,0, @@ -1717,21 +1717,21 @@ const unsigned char _Py_M__importlib_external[] = { 99,101,41,62,41,2,114,50,0,0,0,114,108,0,0,0, 41,2,114,167,0,0,0,114,186,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,11,109,111,100, - 117,108,101,95,114,101,112,114,238,3,0,0,115,2,0,0, + 117,108,101,95,114,101,112,114,239,3,0,0,115,2,0,0, 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, 0,0,67,0,0,0,115,4,0,0,0,100,1,83,0,41, 2,78,84,114,4,0,0,0,41,2,114,103,0,0,0,114, 122,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,156,0,0,0,247,3,0,0,115,2,0,0, + 0,0,0,114,156,0,0,0,248,3,0,0,115,2,0,0, 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, 0,67,0,0,0,115,4,0,0,0,100,1,83,0,41,2, 78,114,32,0,0,0,114,4,0,0,0,41,2,114,103,0, 0,0,114,122,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,198,0,0,0,250,3,0,0,115, + 0,114,6,0,0,0,114,198,0,0,0,251,3,0,0,115, 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, @@ -1741,7 +1741,7 @@ const unsigned char _Py_M__importlib_external[] = { 62,114,185,0,0,0,114,200,0,0,0,84,41,1,114,201, 0,0,0,41,2,114,103,0,0,0,114,122,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,183, - 0,0,0,253,3,0,0,115,2,0,0,0,0,1,122,25, + 0,0,0,254,3,0,0,115,2,0,0,0,0,1,122,25, 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, @@ -1750,14 +1750,14 @@ const unsigned char _Py_M__importlib_external[] = { 32,102,111,114,32,109,111,100,117,108,101,32,99,114,101,97, 116,105,111,110,46,78,114,4,0,0,0,41,2,114,103,0, 0,0,114,161,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,182,0,0,0,0,4,0,0,115, + 0,114,6,0,0,0,114,182,0,0,0,1,4,0,0,115, 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, 83,0,41,1,78,114,4,0,0,0,41,2,114,103,0,0, 0,114,186,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,187,0,0,0,3,4,0,0,115,2, + 114,6,0,0,0,114,187,0,0,0,4,4,0,0,115,2, 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, @@ -1775,7 +1775,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,123,33,114,125,41,4,114,117,0,0,0,114,132,0,0, 0,114,228,0,0,0,114,188,0,0,0,41,2,114,103,0, 0,0,114,122,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,189,0,0,0,6,4,0,0,115, + 0,114,6,0,0,0,114,189,0,0,0,7,4,0,0,115, 6,0,0,0,0,7,6,1,8,1,122,28,95,78,97,109, 101,115,112,97,99,101,76,111,97,100,101,114,46,108,111,97, 100,95,109,111,100,117,108,101,78,41,12,114,108,0,0,0, @@ -1784,7 +1784,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,183,0,0,0,114,182,0,0,0,114,187,0, 0,0,114,189,0,0,0,114,4,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,114,245,0,0,0, - 234,3,0,0,115,16,0,0,0,8,1,8,3,12,9,8, + 235,3,0,0,115,16,0,0,0,8,1,8,3,12,9,8, 3,8,3,8,3,8,3,8,3,114,245,0,0,0,99,0, 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,64, 0,0,0,115,106,0,0,0,101,0,90,1,100,0,90,2, @@ -1817,7 +1817,7 @@ const unsigned char _Py_M__importlib_external[] = { 99,97,99,104,101,218,6,118,97,108,117,101,115,114,111,0, 0,0,114,248,0,0,0,41,2,114,167,0,0,0,218,6, 102,105,110,100,101,114,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,248,0,0,0,24,4,0,0,115,6, + 114,6,0,0,0,114,248,0,0,0,25,4,0,0,115,6, 0,0,0,0,4,16,1,10,1,122,28,80,97,116,104,70, 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, @@ -1837,7 +1837,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,121,0,0,0,114,102,0,0,0,41,3,114,167,0,0, 0,114,37,0,0,0,90,4,104,111,111,107,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,11,95,112,97, - 116,104,95,104,111,111,107,115,32,4,0,0,115,16,0,0, + 116,104,95,104,111,111,107,115,33,4,0,0,115,16,0,0, 0,0,3,18,1,12,1,12,1,2,1,8,1,14,1,12, 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, @@ -1868,7 +1868,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,253,0,0,0,41,3,114,167,0,0,0,114, 37,0,0,0,114,251,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,6,0,0,0,218,20,95,112,97,116,104,95, - 105,109,112,111,114,116,101,114,95,99,97,99,104,101,45,4, + 105,109,112,111,114,116,101,114,95,99,97,99,104,101,46,4, 0,0,115,22,0,0,0,0,8,8,1,2,1,12,1,14, 3,6,1,2,1,14,1,14,1,10,1,16,1,122,31,80, 97,116,104,70,105,110,100,101,114,46,95,112,97,116,104,95, @@ -1886,7 +1886,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,251,0,0,0,114,123,0,0,0,114,124,0, 0,0,114,161,0,0,0,114,4,0,0,0,114,4,0,0, 0,114,6,0,0,0,218,16,95,108,101,103,97,99,121,95, - 103,101,116,95,115,112,101,99,67,4,0,0,115,18,0,0, + 103,101,116,95,115,112,101,99,68,4,0,0,115,18,0,0, 0,0,4,10,1,16,2,10,1,4,1,8,1,12,1,12, 1,6,1,122,27,80,97,116,104,70,105,110,100,101,114,46, 95,108,101,103,97,99,121,95,103,101,116,95,115,112,101,99, @@ -1917,7 +1917,7 @@ const unsigned char _Py_M__importlib_external[] = { 110,97,109,101,115,112,97,99,101,95,112,97,116,104,90,5, 101,110,116,114,121,114,251,0,0,0,114,161,0,0,0,114, 124,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,218,9,95,103,101,116,95,115,112,101,99,82,4, + 0,0,0,218,9,95,103,101,116,95,115,112,101,99,83,4, 0,0,115,40,0,0,0,0,5,4,1,10,1,14,1,2, 1,10,1,8,1,10,1,14,2,12,1,8,1,2,1,10, 1,4,1,6,1,8,1,8,5,14,2,12,1,6,1,122, @@ -1945,7 +1945,7 @@ const unsigned char _Py_M__importlib_external[] = { 155,0,0,0,114,226,0,0,0,41,6,114,167,0,0,0, 114,122,0,0,0,114,37,0,0,0,114,176,0,0,0,114, 161,0,0,0,114,2,1,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,177,0,0,0,114,4,0, + 0,0,0,114,6,0,0,0,114,177,0,0,0,115,4,0, 0,115,26,0,0,0,0,6,8,1,6,1,14,1,8,1, 6,1,10,1,6,1,4,3,6,1,16,1,6,2,6,2, 122,20,80,97,116,104,70,105,110,100,101,114,46,102,105,110, @@ -1967,7 +1967,7 @@ const unsigned char _Py_M__importlib_external[] = { 177,0,0,0,114,123,0,0,0,41,4,114,167,0,0,0, 114,122,0,0,0,114,37,0,0,0,114,161,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,178, - 0,0,0,138,4,0,0,115,8,0,0,0,0,8,12,1, + 0,0,0,139,4,0,0,115,8,0,0,0,0,8,12,1, 8,1,4,1,122,22,80,97,116,104,70,105,110,100,101,114, 46,102,105,110,100,95,109,111,100,117,108,101,41,1,78,41, 2,78,78,41,1,78,41,12,114,108,0,0,0,114,107,0, @@ -1975,7 +1975,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,248,0,0,0,114,253,0,0,0,114,255,0,0,0, 114,0,1,0,0,114,3,1,0,0,114,177,0,0,0,114, 178,0,0,0,114,4,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,247,0,0,0,20,4,0, + 0,0,0,114,6,0,0,0,114,247,0,0,0,21,4,0, 0,115,22,0,0,0,8,2,4,2,12,8,12,13,12,22, 12,15,2,1,12,31,2,1,12,23,2,1,114,247,0,0, 0,99,0,0,0,0,0,0,0,0,0,0,0,0,3,0, @@ -2019,7 +2019,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,124,1,136,0,102,2,86,0,1,0,113,2,100,0,83, 0,41,1,78,114,4,0,0,0,41,2,114,24,0,0,0, 114,221,0,0,0,41,1,114,123,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,223,0,0,0,167,4,0,0,115, + 0,114,6,0,0,0,114,223,0,0,0,168,4,0,0,115, 2,0,0,0,4,0,122,38,70,105,108,101,70,105,110,100, 101,114,46,95,95,105,110,105,116,95,95,46,60,108,111,99, 97,108,115,62,46,60,103,101,110,101,120,112,114,62,114,61, @@ -2032,7 +2032,7 @@ const unsigned char _Py_M__importlib_external[] = { 37,0,0,0,218,14,108,111,97,100,101,114,95,100,101,116, 97,105,108,115,90,7,108,111,97,100,101,114,115,114,163,0, 0,0,114,4,0,0,0,41,1,114,123,0,0,0,114,6, - 0,0,0,114,181,0,0,0,161,4,0,0,115,16,0,0, + 0,0,0,114,181,0,0,0,162,4,0,0,115,16,0,0, 0,0,4,4,1,14,1,28,1,6,2,10,1,6,1,8, 1,122,19,70,105,108,101,70,105,110,100,101,114,46,95,95, 105,110,105,116,95,95,99,1,0,0,0,0,0,0,0,1, @@ -2042,7 +2042,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,99,116,111,114,121,32,109,116,105,109,101,46,114,31,0, 0,0,78,114,90,0,0,0,41,1,114,6,1,0,0,41, 1,114,103,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,248,0,0,0,175,4,0,0,115,2, + 114,6,0,0,0,114,248,0,0,0,176,4,0,0,115,2, 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, @@ -2065,7 +2065,7 @@ const unsigned char _Py_M__importlib_external[] = { 78,41,3,114,177,0,0,0,114,123,0,0,0,114,153,0, 0,0,41,3,114,103,0,0,0,114,122,0,0,0,114,161, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,114,120,0,0,0,181,4,0,0,115,8,0,0,0, + 0,0,114,120,0,0,0,182,4,0,0,115,8,0,0,0, 0,7,10,1,8,1,8,1,122,22,70,105,108,101,70,105, 110,100,101,114,46,102,105,110,100,95,108,111,97,100,101,114, 99,6,0,0,0,0,0,0,0,7,0,0,0,7,0,0, @@ -2076,7 +2076,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,162,0,0,0,114,122,0,0,0,114,37,0, 0,0,90,4,115,109,115,108,114,176,0,0,0,114,123,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,3,1,0,0,193,4,0,0,115,6,0,0,0,0, + 0,114,3,1,0,0,194,4,0,0,115,6,0,0,0,0, 1,10,1,12,1,122,20,70,105,108,101,70,105,110,100,101, 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, @@ -2130,7 +2130,7 @@ const unsigned char _Py_M__importlib_external[] = { 116,104,114,221,0,0,0,114,162,0,0,0,90,13,105,110, 105,116,95,102,105,108,101,110,97,109,101,90,9,102,117,108, 108,95,112,97,116,104,114,161,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,177,0,0,0,198, + 114,4,0,0,0,114,6,0,0,0,114,177,0,0,0,199, 4,0,0,115,70,0,0,0,0,5,4,1,14,1,2,1, 24,1,14,1,10,1,10,1,8,1,6,2,6,1,6,1, 10,2,6,1,4,2,8,1,12,1,16,1,8,1,10,1, @@ -2162,7 +2162,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,146,2,113,4,83,0,114,4,0,0,0,41,1,114,91, 0,0,0,41,2,114,24,0,0,0,90,2,102,110,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,250,9,60, - 115,101,116,99,111,109,112,62,19,5,0,0,115,2,0,0, + 115,101,116,99,111,109,112,62,20,5,0,0,115,2,0,0, 0,6,0,122,41,70,105,108,101,70,105,110,100,101,114,46, 95,102,105,108,108,95,99,97,99,104,101,46,60,108,111,99, 97,108,115,62,46,60,115,101,116,99,111,109,112,62,78,41, @@ -2179,7 +2179,7 @@ const unsigned char _Py_M__importlib_external[] = { 111,110,116,101,110,116,115,114,243,0,0,0,114,101,0,0, 0,114,233,0,0,0,114,221,0,0,0,90,8,110,101,119, 95,110,97,109,101,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,11,1,0,0,246,4,0,0,115,34,0, + 6,0,0,0,114,11,1,0,0,247,4,0,0,115,34,0, 0,0,0,2,6,1,2,1,22,1,20,3,10,3,12,1, 12,7,6,1,10,1,16,1,4,1,18,2,4,1,14,1, 6,1,12,1,122,22,70,105,108,101,70,105,110,100,101,114, @@ -2217,7 +2217,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,114,37,0,0,0,41,2,114,167,0,0,0,114,10,1, 0,0,114,4,0,0,0,114,6,0,0,0,218,24,112,97, 116,104,95,104,111,111,107,95,102,111,114,95,70,105,108,101, - 70,105,110,100,101,114,31,5,0,0,115,6,0,0,0,0, + 70,105,110,100,101,114,32,5,0,0,115,6,0,0,0,0, 2,8,1,14,1,122,54,70,105,108,101,70,105,110,100,101, 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, @@ -2225,7 +2225,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,41,3,114,167,0,0,0,114,10,1,0,0,114,16, 1,0,0,114,4,0,0,0,41,2,114,167,0,0,0,114, 10,1,0,0,114,6,0,0,0,218,9,112,97,116,104,95, - 104,111,111,107,21,5,0,0,115,4,0,0,0,0,10,14, + 104,111,111,107,22,5,0,0,115,4,0,0,0,0,10,14, 6,122,20,70,105,108,101,70,105,110,100,101,114,46,112,97, 116,104,95,104,111,111,107,99,1,0,0,0,0,0,0,0, 1,0,0,0,2,0,0,0,67,0,0,0,115,12,0,0, @@ -2233,7 +2233,7 @@ const unsigned char _Py_M__importlib_external[] = { 122,16,70,105,108,101,70,105,110,100,101,114,40,123,33,114, 125,41,41,2,114,50,0,0,0,114,37,0,0,0,41,1, 114,103,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,242,0,0,0,39,5,0,0,115,2,0, + 6,0,0,0,114,242,0,0,0,40,5,0,0,115,2,0, 0,0,0,1,122,19,70,105,108,101,70,105,110,100,101,114, 46,95,95,114,101,112,114,95,95,41,1,78,41,15,114,108, 0,0,0,114,107,0,0,0,114,109,0,0,0,114,110,0, @@ -2242,7 +2242,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,177,0,0,0,114,11,1,0,0,114,179,0,0,0,114, 17,1,0,0,114,242,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,4,1, - 0,0,152,4,0,0,115,20,0,0,0,8,7,4,2,8, + 0,0,153,4,0,0,115,20,0,0,0,8,7,4,2,8, 14,8,4,4,2,8,12,8,5,10,48,8,31,12,18,114, 4,1,0,0,99,4,0,0,0,0,0,0,0,6,0,0, 0,11,0,0,0,67,0,0,0,115,148,0,0,0,124,0, @@ -2265,7 +2265,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,90,9,99,112,97,116,104,110,97,109,101,114,123,0,0, 0,114,161,0,0,0,114,4,0,0,0,114,4,0,0,0, 114,6,0,0,0,218,14,95,102,105,120,95,117,112,95,109, - 111,100,117,108,101,45,5,0,0,115,34,0,0,0,0,2, + 111,100,117,108,101,46,5,0,0,115,34,0,0,0,0,2, 10,1,10,1,4,1,4,1,8,1,8,1,12,2,10,1, 4,1,16,1,2,1,8,1,8,1,8,1,12,1,14,2, 114,22,1,0,0,99,0,0,0,0,0,0,0,0,3,0, @@ -2285,7 +2285,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 0,114,4,0,0,0,114,6,0,0,0,114,158,0,0,0, - 68,5,0,0,115,8,0,0,0,0,5,12,1,8,1,8, + 69,5,0,0,115,8,0,0,0,0,5,12,1,8,1,8, 1,114,158,0,0,0,99,1,0,0,0,0,0,0,0,12, 0,0,0,12,0,0,0,67,0,0,0,115,188,1,0,0, 124,0,97,0,116,0,106,1,97,1,116,0,106,2,97,2, @@ -2337,7 +2337,7 @@ const unsigned char _Py_M__importlib_external[] = { 2,86,0,1,0,113,2,100,1,83,0,41,2,114,31,0, 0,0,78,41,1,114,33,0,0,0,41,2,114,24,0,0, 0,114,80,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,223,0,0,0,104,5,0,0,115,2, + 114,6,0,0,0,114,223,0,0,0,105,5,0,0,115,2, 0,0,0,4,0,122,25,95,115,101,116,117,112,46,60,108, 111,99,97,108,115,62,46,60,103,101,110,101,120,112,114,62, 114,62,0,0,0,122,30,105,109,112,111,114,116,108,105,98, @@ -2368,7 +2368,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 0,0,0,114,6,0,0,0,218,6,95,115,101,116,117,112, - 79,5,0,0,115,82,0,0,0,0,8,4,1,6,1,6, + 80,5,0,0,115,82,0,0,0,0,8,4,1,6,1,6, 3,10,1,10,1,10,1,12,2,10,1,16,3,22,1,14, 2,22,1,8,1,10,1,10,1,4,2,2,1,10,1,6, 1,14,1,12,2,8,1,12,1,12,1,18,3,2,1,14, @@ -2392,7 +2392,7 @@ const unsigned char _Py_M__importlib_external[] = { 2,114,30,1,0,0,90,17,115,117,112,112,111,114,116,101, 100,95,108,111,97,100,101,114,115,114,4,0,0,0,114,4, 0,0,0,114,6,0,0,0,218,8,95,105,110,115,116,97, - 108,108,147,5,0,0,115,16,0,0,0,0,2,8,1,6, + 108,108,148,5,0,0,115,16,0,0,0,0,2,8,1,6, 1,20,1,10,1,12,1,12,4,6,1,114,33,1,0,0, 41,1,122,3,119,105,110,41,2,114,1,0,0,0,114,2, 0,0,0,41,1,114,49,0,0,0,41,1,78,41,3,78, @@ -2426,7 +2426,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,6,0,0,0,218,8,60,109,111,100,117,108,101,62, 8,0,0,0,115,108,0,0,0,4,16,4,1,4,1,2, 1,6,3,8,17,8,5,8,5,8,6,8,12,8,10,8, - 9,8,5,8,7,10,22,10,116,16,1,12,2,4,1,4, + 9,8,5,8,7,10,22,10,117,16,1,12,2,4,1,4, 2,6,2,6,2,8,2,16,44,8,33,8,19,8,12,8, 12,8,28,8,17,10,55,10,12,10,10,8,14,6,3,4, 1,14,65,14,64,14,29,16,110,14,41,18,45,18,16,4, diff --git a/Python/opcode_targets.h b/Python/opcode_targets.h index 6182e806c1..9337474682 100644 --- a/Python/opcode_targets.h +++ b/Python/opcode_targets.h @@ -156,7 +156,7 @@ static void *opcode_targets[256] = { &&TARGET_SETUP_ASYNC_WITH, &&TARGET_FORMAT_VALUE, &&TARGET_BUILD_CONST_KEY_MAP, - &&_unknown_opcode, + &&TARGET_BUILD_STRING, &&_unknown_opcode, &&_unknown_opcode, &&_unknown_opcode, -- cgit v1.2.1 From 51de01488de8bc367c5588cf6e13779d7f769f26 Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Tue, 6 Sep 2016 12:44:21 -0700 Subject: dtoa.c: remove code for platforms with 64-bit integers (#17884) --- Python/dtoa.c | 104 ---------------------------------------------------------- 1 file changed, 104 deletions(-) (limited to 'Python') diff --git a/Python/dtoa.c b/Python/dtoa.c index 94eb2676e2..efcadc31e9 100644 --- a/Python/dtoa.c +++ b/Python/dtoa.c @@ -448,13 +448,8 @@ static Bigint * multadd(Bigint *b, int m, int a) /* multiply by m and add a */ { int i, wds; -#ifdef ULLong ULong *x; ULLong carry, y; -#else - ULong carry, *x, y; - ULong xi, z; -#endif Bigint *b1; wds = b->wds; @@ -462,17 +457,9 @@ multadd(Bigint *b, int m, int a) /* multiply by m and add a */ i = 0; carry = a; do { -#ifdef ULLong y = *x * (ULLong)m + carry; carry = y >> 32; *x++ = (ULong)(y & FFFFFFFF); -#else - xi = *x; - y = (xi & 0xffff) * m + carry; - z = (xi >> 16) * m + (y >> 16); - carry = z >> 16; - *x++ = (z << 16) + (y & 0xffff); -#endif } while(++i < wds); if (carry) { @@ -633,12 +620,7 @@ mult(Bigint *a, Bigint *b) int k, wa, wb, wc; ULong *x, *xa, *xae, *xb, *xbe, *xc, *xc0; ULong y; -#ifdef ULLong ULLong carry, z; -#else - ULong carry, z; - ULong z2; -#endif if ((!a->x[0] && a->wds == 1) || (!b->x[0] && b->wds == 1)) { c = Balloc(0); @@ -670,7 +652,6 @@ mult(Bigint *a, Bigint *b) xb = b->x; xbe = xb + wb; xc0 = c->x; -#ifdef ULLong for(; xb < xbe; xc0++) { if ((y = *xb++)) { x = xa; @@ -685,39 +666,6 @@ mult(Bigint *a, Bigint *b) *xc = (ULong)carry; } } -#else - for(; xb < xbe; xb++, xc0++) { - if (y = *xb & 0xffff) { - x = xa; - xc = xc0; - carry = 0; - do { - z = (*x & 0xffff) * y + (*xc & 0xffff) + carry; - carry = z >> 16; - z2 = (*x++ >> 16) * y + (*xc >> 16) + carry; - carry = z2 >> 16; - Storeinc(xc, z2, z); - } - while(x < xae); - *xc = carry; - } - if (y = *xb >> 16) { - x = xa; - xc = xc0; - carry = 0; - z2 = *xc; - do { - z = (*x & 0xffff) * y + (*xc >> 16) + carry; - carry = z >> 16; - Storeinc(xc, z, z2); - z2 = (*x++ >> 16) * y + (*xc & 0xffff) + carry; - carry = z2 >> 16; - } - while(x < xae); - *xc = z2; - } - } -#endif for(xc0 = c->x, xc = xc0 + wc; wc > 0 && !*--xc; --wc) ; c->wds = wc; return c; @@ -926,12 +874,7 @@ diff(Bigint *a, Bigint *b) Bigint *c; int i, wa, wb; ULong *xa, *xae, *xb, *xbe, *xc; -#ifdef ULLong ULLong borrow, y; -#else - ULong borrow, y; - ULong z; -#endif i = cmp(a,b); if (!i) { @@ -962,7 +905,6 @@ diff(Bigint *a, Bigint *b) xbe = xb + wb; xc = c->x; borrow = 0; -#ifdef ULLong do { y = (ULLong)*xa++ - *xb++ - borrow; borrow = y >> 32 & (ULong)1; @@ -974,23 +916,6 @@ diff(Bigint *a, Bigint *b) borrow = y >> 32 & (ULong)1; *xc++ = (ULong)(y & FFFFFFFF); } -#else - do { - y = (*xa & 0xffff) - (*xb & 0xffff) - borrow; - borrow = (y & 0x10000) >> 16; - z = (*xa++ >> 16) - (*xb++ >> 16) - borrow; - borrow = (z & 0x10000) >> 16; - Storeinc(xc, z, y); - } - while(xb < xbe); - while(xa < xae) { - y = (*xa & 0xffff) - borrow; - borrow = (y & 0x10000) >> 16; - z = (*xa++ >> 16) - borrow; - borrow = (z & 0x10000) >> 16; - Storeinc(xc, z, y); - } -#endif while(!*--xc) wa--; c->wds = wa; @@ -1235,12 +1160,7 @@ quorem(Bigint *b, Bigint *S) { int n; ULong *bx, *bxe, q, *sx, *sxe; -#ifdef ULLong ULLong borrow, carry, y, ys; -#else - ULong borrow, carry, y, ys; - ULong si, z, zs; -#endif n = S->wds; #ifdef DEBUG @@ -1262,23 +1182,11 @@ quorem(Bigint *b, Bigint *S) borrow = 0; carry = 0; do { -#ifdef ULLong ys = *sx++ * (ULLong)q + carry; carry = ys >> 32; y = *bx - (ys & FFFFFFFF) - borrow; borrow = y >> 32 & (ULong)1; *bx++ = (ULong)(y & FFFFFFFF); -#else - si = *sx++; - ys = (si & 0xffff) * q + carry; - zs = (si >> 16) * q + (ys >> 16); - carry = zs >> 16; - y = (*bx & 0xffff) - (ys & 0xffff) - borrow; - borrow = (y & 0x10000) >> 16; - z = (*bx >> 16) - (zs & 0xffff) - borrow; - borrow = (z & 0x10000) >> 16; - Storeinc(bx, z, y); -#endif } while(sx <= sxe); if (!*bxe) { @@ -1295,23 +1203,11 @@ quorem(Bigint *b, Bigint *S) bx = b->x; sx = S->x; do { -#ifdef ULLong ys = *sx++ + carry; carry = ys >> 32; y = *bx - (ys & FFFFFFFF) - borrow; borrow = y >> 32 & (ULong)1; *bx++ = (ULong)(y & FFFFFFFF); -#else - si = *sx++; - ys = (si & 0xffff) + carry; - zs = (si >> 16) + (ys >> 16); - carry = zs >> 16; - y = (*bx & 0xffff) - (ys & 0xffff) - borrow; - borrow = (y & 0x10000) >> 16; - z = (*bx >> 16) - (zs & 0xffff) - borrow; - borrow = (z & 0x10000) >> 16; - Storeinc(bx, z, y); -#endif } while(sx <= sxe); bx = b->x; -- cgit v1.2.1 From d541e7ad34b152da0aa475e55a21edbc477091ff Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Tue, 6 Sep 2016 13:24:00 -0700 Subject: replace Python aliases for standard integer types with the standard integer types (#17884) --- Python/pyhash.c | 53 +++++++++++++++++++++++++---------------------------- 1 file changed, 25 insertions(+), 28 deletions(-) (limited to 'Python') diff --git a/Python/pyhash.c b/Python/pyhash.c index 97cb54759b..9080d251b6 100644 --- a/Python/pyhash.c +++ b/Python/pyhash.c @@ -318,40 +318,37 @@ static PyHash_FuncDef PyHash_Func = {fnv, "fnv", 8 * SIZEOF_PY_HASH_T, Modified for Python by Christian Heimes: - C89 / MSVC compatibility - - PY_UINT64_T, PY_UINT32_T and PY_UINT8_T - _rotl64() on Windows - letoh64() fallback */ -typedef unsigned char PY_UINT8_T; - /* byte swap little endian to host endian * Endian conversion not only ensures that the hash function returns the same * value on all platforms. It is also required to for a good dispersion of * the hash values' least significant bits. */ #if PY_LITTLE_ENDIAN -# define _le64toh(x) ((PY_UINT64_T)(x)) +# define _le64toh(x) ((uint64_t)(x)) #elif defined(__APPLE__) # define _le64toh(x) OSSwapLittleToHostInt64(x) #elif defined(HAVE_LETOH64) # define _le64toh(x) le64toh(x) #else -# define _le64toh(x) (((PY_UINT64_T)(x) << 56) | \ - (((PY_UINT64_T)(x) << 40) & 0xff000000000000ULL) | \ - (((PY_UINT64_T)(x) << 24) & 0xff0000000000ULL) | \ - (((PY_UINT64_T)(x) << 8) & 0xff00000000ULL) | \ - (((PY_UINT64_T)(x) >> 8) & 0xff000000ULL) | \ - (((PY_UINT64_T)(x) >> 24) & 0xff0000ULL) | \ - (((PY_UINT64_T)(x) >> 40) & 0xff00ULL) | \ - ((PY_UINT64_T)(x) >> 56)) +# define _le64toh(x) (((uint64_t)(x) << 56) | \ + (((uint64_t)(x) << 40) & 0xff000000000000ULL) | \ + (((uint64_t)(x) << 24) & 0xff0000000000ULL) | \ + (((uint64_t)(x) << 8) & 0xff00000000ULL) | \ + (((uint64_t)(x) >> 8) & 0xff000000ULL) | \ + (((uint64_t)(x) >> 24) & 0xff0000ULL) | \ + (((uint64_t)(x) >> 40) & 0xff00ULL) | \ + ((uint64_t)(x) >> 56)) #endif #ifdef _MSC_VER # define ROTATE(x, b) _rotl64(x, b) #else -# define ROTATE(x, b) (PY_UINT64_T)( ((x) << (b)) | ( (x) >> (64 - (b))) ) +# define ROTATE(x, b) (uint64_t)( ((x) << (b)) | ( (x) >> (64 - (b))) ) #endif #define HALF_ROUND(a,b,c,d,s,t) \ @@ -369,22 +366,22 @@ typedef unsigned char PY_UINT8_T; static Py_hash_t siphash24(const void *src, Py_ssize_t src_sz) { - PY_UINT64_T k0 = _le64toh(_Py_HashSecret.siphash.k0); - PY_UINT64_T k1 = _le64toh(_Py_HashSecret.siphash.k1); - PY_UINT64_T b = (PY_UINT64_T)src_sz << 56; - const PY_UINT64_T *in = (PY_UINT64_T*)src; + uint64_t k0 = _le64toh(_Py_HashSecret.siphash.k0); + uint64_t k1 = _le64toh(_Py_HashSecret.siphash.k1); + uint64_t b = (uint64_t)src_sz << 56; + const uint64_t *in = (uint64_t*)src; - PY_UINT64_T v0 = k0 ^ 0x736f6d6570736575ULL; - PY_UINT64_T v1 = k1 ^ 0x646f72616e646f6dULL; - PY_UINT64_T v2 = k0 ^ 0x6c7967656e657261ULL; - PY_UINT64_T v3 = k1 ^ 0x7465646279746573ULL; + uint64_t v0 = k0 ^ 0x736f6d6570736575ULL; + uint64_t v1 = k1 ^ 0x646f72616e646f6dULL; + uint64_t v2 = k0 ^ 0x6c7967656e657261ULL; + uint64_t v3 = k1 ^ 0x7465646279746573ULL; - PY_UINT64_T t; - PY_UINT8_T *pt; - PY_UINT8_T *m; + uint64_t t; + uint8_t *pt; + uint8_t *m; while (src_sz >= 8) { - PY_UINT64_T mi = _le64toh(*in); + uint64_t mi = _le64toh(*in); in += 1; src_sz -= 8; v3 ^= mi; @@ -393,13 +390,13 @@ siphash24(const void *src, Py_ssize_t src_sz) { } t = 0; - pt = (PY_UINT8_T *)&t; - m = (PY_UINT8_T *)in; + pt = (uint8_t *)&t; + m = (uint8_t *)in; switch (src_sz) { case 7: pt[6] = m[6]; case 6: pt[5] = m[5]; case 5: pt[4] = m[4]; - case 4: Py_MEMCPY(pt, m, sizeof(PY_UINT32_T)); break; + case 4: Py_MEMCPY(pt, m, sizeof(uint32_t)); break; case 3: pt[2] = m[2]; case 2: pt[1] = m[1]; case 1: pt[0] = m[0]; -- cgit v1.2.1 From 82b75eb31160ec9c025e450ac9fa3300d560a245 Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Tue, 6 Sep 2016 13:47:26 -0700 Subject: replace Py_(u)intptr_t with the c99 standard types --- Python/ceval_gil.h | 4 ++-- Python/compile.c | 6 +++--- Python/pystate.c | 2 +- 3 files changed, 6 insertions(+), 6 deletions(-) (limited to 'Python') diff --git a/Python/ceval_gil.h b/Python/ceval_gil.h index 8d38ee9dfc..a3b450bd5c 100644 --- a/Python/ceval_gil.h +++ b/Python/ceval_gil.h @@ -178,7 +178,7 @@ static void drop_gil(PyThreadState *tstate) /* Sub-interpreter support: threads might have been switched under our feet using PyThreadState_Swap(). Fix the GIL last holder variable so that our heuristics work. */ - _Py_atomic_store_relaxed(&gil_last_holder, (Py_uintptr_t)tstate); + _Py_atomic_store_relaxed(&gil_last_holder, (uintptr_t)tstate); } MUTEX_LOCK(gil_mutex); @@ -240,7 +240,7 @@ _ready: _Py_ANNOTATE_RWLOCK_ACQUIRED(&gil_locked, /*is_write=*/1); if (tstate != (PyThreadState*)_Py_atomic_load_relaxed(&gil_last_holder)) { - _Py_atomic_store_relaxed(&gil_last_holder, (Py_uintptr_t)tstate); + _Py_atomic_store_relaxed(&gil_last_holder, (uintptr_t)tstate); ++gil_switch_number; } diff --git a/Python/compile.c b/Python/compile.c index b5629895c1..6fe5d5fa82 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -476,9 +476,9 @@ compiler_unit_check(struct compiler_unit *u) { basicblock *block; for (block = u->u_blocks; block != NULL; block = block->b_list) { - assert((Py_uintptr_t)block != 0xcbcbcbcbU); - assert((Py_uintptr_t)block != 0xfbfbfbfbU); - assert((Py_uintptr_t)block != 0xdbdbdbdbU); + assert((uintptr_t)block != 0xcbcbcbcbU); + assert((uintptr_t)block != 0xfbfbfbfbU); + assert((uintptr_t)block != 0xdbdbdbdbU); if (block->b_instr != NULL) { assert(block->b_ialloc > 0); assert(block->b_iused > 0); diff --git a/Python/pystate.c b/Python/pystate.c index 61bda2a9fb..2ab5d5d611 100644 --- a/Python/pystate.c +++ b/Python/pystate.c @@ -6,7 +6,7 @@ #define GET_TSTATE() \ ((PyThreadState*)_Py_atomic_load_relaxed(&_PyThreadState_Current)) #define SET_TSTATE(value) \ - _Py_atomic_store_relaxed(&_PyThreadState_Current, (Py_uintptr_t)(value)) + _Py_atomic_store_relaxed(&_PyThreadState_Current, (uintptr_t)(value)) #define GET_INTERP_STATE() \ (GET_TSTATE()->interp) -- cgit v1.2.1 From 7907df3f3ca86f01f3d1d7f619b042e20770249c Mon Sep 17 00:00:00 2001 From: Brett Cannon Date: Tue, 6 Sep 2016 16:20:46 -0700 Subject: Issue #27974: Remove importlib._bootstrap._ManageReload. Class was dead code. Thanks to Xiang Zhang for the patch. --- Python/importlib.h | 3545 ++++++++++++++++++++++++++-------------------------- 1 file changed, 1746 insertions(+), 1799 deletions(-) (limited to 'Python') diff --git a/Python/importlib.h b/Python/importlib.h index e26d307121..50937476c7 100644 --- a/Python/importlib.h +++ b/Python/importlib.h @@ -1,549 +1,496 @@ /* Auto-generated by Programs/_freeze_importlib.c */ const unsigned char _Py_M__importlib[] = { 99,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0, - 0,64,0,0,0,115,216,1,0,0,100,0,90,0,100,1, + 0,64,0,0,0,115,202,1,0,0,100,0,90,0,100,1, 97,1,100,2,100,3,132,0,90,2,100,4,100,5,132,0, - 90,3,71,0,100,6,100,7,132,0,100,7,131,2,90,4, - 105,0,90,5,105,0,90,6,71,0,100,8,100,9,132,0, - 100,9,101,7,131,3,90,8,71,0,100,10,100,11,132,0, + 90,3,105,0,90,4,105,0,90,5,71,0,100,6,100,7, + 132,0,100,7,101,6,131,3,90,7,71,0,100,8,100,9, + 132,0,100,9,131,2,90,8,71,0,100,10,100,11,132,0, 100,11,131,2,90,9,71,0,100,12,100,13,132,0,100,13, - 131,2,90,10,71,0,100,14,100,15,132,0,100,15,131,2, - 90,11,100,16,100,17,132,0,90,12,100,18,100,19,132,0, - 90,13,100,20,100,21,132,0,90,14,100,22,100,23,156,1, - 100,24,100,25,132,2,90,15,100,26,100,27,132,0,90,16, - 100,28,100,29,132,0,90,17,100,30,100,31,132,0,90,18, - 100,32,100,33,132,0,90,19,71,0,100,34,100,35,132,0, - 100,35,131,2,90,20,71,0,100,36,100,37,132,0,100,37, - 131,2,90,21,100,1,100,1,100,38,156,2,100,39,100,40, - 132,2,90,22,101,23,131,0,90,24,100,94,100,41,100,42, - 132,1,90,25,100,43,100,44,156,1,100,45,100,46,132,2, - 90,26,100,47,100,48,132,0,90,27,100,49,100,50,132,0, - 90,28,100,51,100,52,132,0,90,29,100,53,100,54,132,0, - 90,30,100,55,100,56,132,0,90,31,100,57,100,58,132,0, + 131,2,90,10,100,14,100,15,132,0,90,11,100,16,100,17, + 132,0,90,12,100,18,100,19,132,0,90,13,100,20,100,21, + 156,1,100,22,100,23,132,2,90,14,100,24,100,25,132,0, + 90,15,100,26,100,27,132,0,90,16,100,28,100,29,132,0, + 90,17,100,30,100,31,132,0,90,18,71,0,100,32,100,33, + 132,0,100,33,131,2,90,19,71,0,100,34,100,35,132,0, + 100,35,131,2,90,20,100,1,100,1,100,36,156,2,100,37, + 100,38,132,2,90,21,101,22,131,0,90,23,100,92,100,39, + 100,40,132,1,90,24,100,41,100,42,156,1,100,43,100,44, + 132,2,90,25,100,45,100,46,132,0,90,26,100,47,100,48, + 132,0,90,27,100,49,100,50,132,0,90,28,100,51,100,52, + 132,0,90,29,100,53,100,54,132,0,90,30,100,55,100,56, + 132,0,90,31,71,0,100,57,100,58,132,0,100,58,131,2, 90,32,71,0,100,59,100,60,132,0,100,60,131,2,90,33, - 71,0,100,61,100,62,132,0,100,62,131,2,90,34,71,0, - 100,63,100,64,132,0,100,64,131,2,90,35,100,65,100,66, - 132,0,90,36,100,67,100,68,132,0,90,37,100,95,100,69, - 100,70,132,1,90,38,100,71,100,72,132,0,90,39,100,73, - 90,40,101,40,100,74,23,0,90,41,100,75,100,76,132,0, - 90,42,100,77,100,78,132,0,90,43,100,96,100,80,100,81, - 132,1,90,44,100,82,100,83,132,0,90,45,100,84,100,85, - 132,0,90,46,100,1,100,1,102,0,100,79,102,4,100,86, - 100,87,132,1,90,47,100,88,100,89,132,0,90,48,100,90, - 100,91,132,0,90,49,100,92,100,93,132,0,90,50,100,1, - 83,0,41,97,97,83,1,0,0,67,111,114,101,32,105,109, - 112,108,101,109,101,110,116,97,116,105,111,110,32,111,102,32, - 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, - 108,101,115,32,97,110,100,32,97,116,116,114,105,98,117,116, - 101,115,32,105,110,32,111,114,100,101,114,32,116,111,10,119, - 111,114,107,46,32,79,110,101,32,115,104,111,117,108,100,32, - 117,115,101,32,105,109,112,111,114,116,108,105,98,32,97,115, - 32,116,104,101,32,112,117,98,108,105,99,45,102,97,99,105, - 110,103,32,118,101,114,115,105,111,110,32,111,102,32,116,104, - 105,115,32,109,111,100,117,108,101,46,10,10,78,99,2,0, - 0,0,0,0,0,0,3,0,0,0,7,0,0,0,67,0, - 0,0,115,60,0,0,0,120,40,100,6,68,0,93,32,125, - 2,116,0,124,1,124,2,131,2,114,6,116,1,124,0,124, - 2,116,2,124,1,124,2,131,2,131,3,1,0,113,6,87, - 0,124,0,106,3,106,4,124,1,106,3,131,1,1,0,100, - 5,83,0,41,7,122,47,83,105,109,112,108,101,32,115,117, - 98,115,116,105,116,117,116,101,32,102,111,114,32,102,117,110, - 99,116,111,111,108,115,46,117,112,100,97,116,101,95,119,114, - 97,112,112,101,114,46,218,10,95,95,109,111,100,117,108,101, - 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, - 99,95,95,78,41,4,122,10,95,95,109,111,100,117,108,101, - 95,95,122,8,95,95,110,97,109,101,95,95,122,12,95,95, - 113,117,97,108,110,97,109,101,95,95,122,7,95,95,100,111, - 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, - 116,101,41,3,90,3,110,101,119,90,3,111,108,100,218,7, - 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, - 119,114,97,112,27,0,0,0,115,8,0,0,0,0,2,10, - 1,10,1,22,1,114,12,0,0,0,99,1,0,0,0,0, - 0,0,0,1,0,0,0,2,0,0,0,67,0,0,0,115, - 12,0,0,0,116,0,116,1,131,1,124,0,131,1,83,0, - 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, - 16,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, - 0,2,0,0,0,64,0,0,0,115,40,0,0,0,101,0, - 90,1,100,0,90,2,100,1,90,3,100,2,100,3,132,0, - 90,4,100,4,100,5,132,0,90,5,100,6,100,7,132,0, - 90,6,100,8,83,0,41,9,218,13,95,77,97,110,97,103, - 101,82,101,108,111,97,100,122,63,77,97,110,97,103,101,115, - 32,116,104,101,32,112,111,115,115,105,98,108,101,32,99,108, - 101,97,110,45,117,112,32,111,102,32,115,121,115,46,109,111, - 100,117,108,101,115,32,102,111,114,32,108,111,97,100,95,109, - 111,100,117,108,101,40,41,46,99,2,0,0,0,0,0,0, - 0,2,0,0,0,2,0,0,0,67,0,0,0,115,10,0, - 0,0,124,1,124,0,95,0,100,0,83,0,41,1,78,41, - 1,218,5,95,110,97,109,101,41,2,218,4,115,101,108,102, - 114,15,0,0,0,114,10,0,0,0,114,10,0,0,0,114, - 11,0,0,0,218,8,95,95,105,110,105,116,95,95,43,0, - 0,0,115,2,0,0,0,0,1,122,22,95,77,97,110,97, - 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, - 0,0,67,0,0,0,115,18,0,0,0,124,0,106,0,116, - 1,106,2,107,6,124,0,95,3,100,0,83,0,41,1,78, - 41,4,114,18,0,0,0,114,14,0,0,0,218,7,109,111, - 100,117,108,101,115,218,10,95,105,115,95,114,101,108,111,97, - 100,41,1,114,19,0,0,0,114,10,0,0,0,114,10,0, - 0,0,114,11,0,0,0,218,9,95,95,101,110,116,101,114, - 95,95,46,0,0,0,115,2,0,0,0,0,1,122,23,95, - 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, - 0,0,0,11,0,0,0,71,0,0,0,115,66,0,0,0, - 116,0,100,1,100,2,132,0,124,1,68,0,131,1,131,1, - 114,62,124,0,106,1,12,0,114,62,121,14,116,2,106,3, - 124,0,106,4,61,0,87,0,110,20,4,0,116,5,107,10, - 114,60,1,0,1,0,1,0,89,0,110,2,88,0,100,0, - 83,0,41,3,78,99,1,0,0,0,0,0,0,0,2,0, - 0,0,3,0,0,0,115,0,0,0,115,22,0,0,0,124, - 0,93,14,125,1,124,1,100,0,107,9,86,0,1,0,113, - 2,100,0,83,0,41,1,78,114,10,0,0,0,41,2,218, - 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, - 114,62,50,0,0,0,115,2,0,0,0,4,0,122,41,95, - 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, - 19,0,0,0,218,4,97,114,103,115,114,10,0,0,0,114, - 10,0,0,0,114,11,0,0,0,218,8,95,95,101,120,105, - 116,95,95,49,0,0,0,115,10,0,0,0,0,1,26,1, - 2,1,14,1,14,1,122,22,95,77,97,110,97,103,101,82, - 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, - 0,115,8,0,0,0,8,2,4,2,8,3,8,3,114,17, - 0,0,0,99,0,0,0,0,0,0,0,0,0,0,0,0, - 1,0,0,0,64,0,0,0,115,12,0,0,0,101,0,90, - 1,100,0,90,2,100,1,83,0,41,2,218,14,95,68,101, - 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, - 0,114,31,0,0,0,64,0,0,0,115,2,0,0,0,8, - 1,114,31,0,0,0,99,0,0,0,0,0,0,0,0,0, - 0,0,0,2,0,0,0,64,0,0,0,115,56,0,0,0, - 101,0,90,1,100,0,90,2,100,1,90,3,100,2,100,3, - 132,0,90,4,100,4,100,5,132,0,90,5,100,6,100,7, - 132,0,90,6,100,8,100,9,132,0,90,7,100,10,100,11, - 132,0,90,8,100,12,83,0,41,13,218,11,95,77,111,100, - 117,108,101,76,111,99,107,122,169,65,32,114,101,99,117,114, - 115,105,118,101,32,108,111,99,107,32,105,109,112,108,101,109, - 101,110,116,97,116,105,111,110,32,119,104,105,99,104,32,105, - 115,32,97,98,108,101,32,116,111,32,100,101,116,101,99,116, - 32,100,101,97,100,108,111,99,107,115,10,32,32,32,32,40, - 101,46,103,46,32,116,104,114,101,97,100,32,49,32,116,114, - 121,105,110,103,32,116,111,32,116,97,107,101,32,108,111,99, - 107,115,32,65,32,116,104,101,110,32,66,44,32,97,110,100, - 32,116,104,114,101,97,100,32,50,32,116,114,121,105,110,103, - 32,116,111,10,32,32,32,32,116,97,107,101,32,108,111,99, - 107,115,32,66,32,116,104,101,110,32,65,41,46,10,32,32, - 32,32,99,2,0,0,0,0,0,0,0,2,0,0,0,2, - 0,0,0,67,0,0,0,115,48,0,0,0,116,0,106,1, - 131,0,124,0,95,2,116,0,106,1,131,0,124,0,95,3, - 124,1,124,0,95,4,100,0,124,0,95,5,100,1,124,0, - 95,6,100,1,124,0,95,7,100,0,83,0,41,2,78,233, - 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, - 0,218,5,111,119,110,101,114,218,5,99,111,117,110,116,218, - 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, - 0,0,1,10,1,10,1,6,1,6,1,6,1,122,20,95, - 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, - 2,0,0,0,67,0,0,0,115,64,0,0,0,116,0,106, - 1,131,0,125,1,124,0,106,2,125,2,120,44,116,3,106, - 4,124,2,131,1,125,3,124,3,100,0,107,8,114,38,100, - 1,83,0,124,3,106,2,125,2,124,2,124,1,107,2,114, - 16,100,2,83,0,113,16,87,0,100,0,83,0,41,3,78, - 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, - 0,114,10,0,0,0,114,10,0,0,0,114,11,0,0,0, - 218,12,104,97,115,95,100,101,97,100,108,111,99,107,82,0, - 0,0,115,18,0,0,0,0,2,8,1,6,1,2,1,10, - 1,8,1,4,1,6,1,8,1,122,24,95,77,111,100,117, - 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, - 16,0,0,0,67,0,0,0,115,168,0,0,0,116,0,106, - 1,131,0,125,1,124,0,116,2,124,1,60,0,122,138,120, - 132,124,0,106,3,143,96,1,0,124,0,106,4,100,1,107, - 2,115,48,124,0,106,5,124,1,107,2,114,72,124,1,124, - 0,95,5,124,0,4,0,106,4,100,2,55,0,2,0,95, - 4,100,3,83,0,124,0,106,6,131,0,114,92,116,7,100, - 4,124,0,22,0,131,1,130,1,124,0,106,8,106,9,100, - 5,131,1,114,118,124,0,4,0,106,10,100,2,55,0,2, - 0,95,10,87,0,100,6,81,0,82,0,88,0,124,0,106, - 8,106,9,131,0,1,0,124,0,106,8,106,11,131,0,1, - 0,113,20,87,0,87,0,100,6,116,2,124,1,61,0,88, - 0,100,6,83,0,41,7,122,185,10,32,32,32,32,32,32, - 32,32,65,99,113,117,105,114,101,32,116,104,101,32,109,111, - 100,117,108,101,32,108,111,99,107,46,32,32,73,102,32,97, - 32,112,111,116,101,110,116,105,97,108,32,100,101,97,100,108, - 111,99,107,32,105,115,32,100,101,116,101,99,116,101,100,44, - 10,32,32,32,32,32,32,32,32,97,32,95,68,101,97,100, - 108,111,99,107,69,114,114,111,114,32,105,115,32,114,97,105, - 115,101,100,46,10,32,32,32,32,32,32,32,32,79,116,104, - 101,114,119,105,115,101,44,32,116,104,101,32,108,111,99,107, - 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, - 32,32,114,33,0,0,0,233,1,0,0,0,84,122,23,100, - 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, - 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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, - 111,114,114,38,0,0,0,218,14,65,115,115,101,114,116,105, - 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, - 1,8,1,8,1,10,1,8,1,14,1,14,1,10,1,6, - 1,6,1,14,1,122,19,95,77,111,100,117,108,101,76,111, - 99,107,46,114,101,108,101,97,115,101,99,1,0,0,0,0, - 0,0,0,1,0,0,0,4,0,0,0,67,0,0,0,115, - 18,0,0,0,100,1,106,0,124,0,106,1,116,2,124,0, - 131,1,131,2,83,0,41,2,78,122,23,95,77,111,100,117, - 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, - 0,218,2,105,100,41,1,114,19,0,0,0,114,10,0,0, - 0,114,10,0,0,0,114,11,0,0,0,218,8,95,95,114, - 101,112,114,95,95,132,0,0,0,115,2,0,0,0,0,1, - 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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, + 0,0,0,115,42,0,0,0,122,16,116,0,124,0,106,1, + 131,1,124,0,95,2,87,0,100,0,116,3,106,4,131,0, + 1,0,88,0,124,0,106,2,106,5,131,0,1,0,100,0, + 83,0,41,1,78,41,6,218,16,95,103,101,116,95,109,111, + 100,117,108,101,95,108,111,99,107,114,43,0,0,0,114,44, + 0,0,0,218,4,95,105,109,112,218,12,114,101,108,101,97, + 115,101,95,108,111,99,107,114,34,0,0,0,41,1,114,26, + 0,0,0,114,10,0,0,0,114,10,0,0,0,114,11,0, + 0,0,218,9,95,95,101,110,116,101,114,95,95,146,0,0, + 0,115,8,0,0,0,0,1,2,1,16,2,10,1,122,28, + 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, + 0,115,14,0,0,0,124,0,106,0,106,1,131,0,1,0, + 100,0,83,0,41,1,78,41,2,114,44,0,0,0,114,35, + 0,0,0,41,3,114,26,0,0,0,218,4,97,114,103,115, + 90,6,107,119,97,114,103,115,114,10,0,0,0,114,10,0, + 0,0,114,11,0,0,0,218,8,95,95,101,120,105,116,95, + 95,153,0,0,0,115,2,0,0,0,0,1,122,27,95,77, + 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, + 0,114,0,0,0,0,114,2,0,0,0,114,27,0,0,0, + 114,48,0,0,0,114,50,0,0,0,114,10,0,0,0,114, + 10,0,0,0,114,10,0,0,0,114,11,0,0,0,114,42, + 0,0,0,140,0,0,0,115,6,0,0,0,8,2,8,4, + 8,7,114,42,0,0,0,99,1,0,0,0,0,0,0,0, + 3,0,0,0,11,0,0,0,3,0,0,0,115,106,0,0, + 0,100,1,125,1,121,14,116,0,136,0,25,0,131,0,125, + 1,87,0,110,20,4,0,116,1,107,10,114,38,1,0,1, + 0,1,0,89,0,110,2,88,0,124,1,100,1,107,8,114, + 102,116,2,100,1,107,8,114,66,116,3,136,0,131,1,125, + 1,110,8,116,4,136,0,131,1,125,1,135,0,102,1,100, + 2,100,3,132,8,125,2,116,5,106,6,124,1,124,2,131, + 2,116,0,136,0,60,0,124,1,83,0,41,4,122,109,71, + 101,116,32,111,114,32,99,114,101,97,116,101,32,116,104,101, + 32,109,111,100,117,108,101,32,108,111,99,107,32,102,111,114, + 32,97,32,103,105,118,101,110,32,109,111,100,117,108,101,32, + 110,97,109,101,46,10,10,32,32,32,32,83,104,111,117,108, 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, - 0,0,0,114,11,0,0,0,218,19,95,108,111,99,107,95, - 117,110,108,111,99,107,95,109,111,100,117,108,101,195,0,0, - 0,115,14,0,0,0,0,7,8,1,8,1,2,1,12,1, - 14,3,6,2,114,63,0,0,0,99,1,0,0,0,0,0, - 0,0,3,0,0,0,3,0,0,0,79,0,0,0,115,10, - 0,0,0,124,0,124,1,124,2,142,0,83,0,41,1,97, - 46,1,0,0,114,101,109,111,118,101,95,105,109,112,111,114, - 116,108,105,98,95,102,114,97,109,101,115,32,105,110,32,105, - 109,112,111,114,116,46,99,32,119,105,108,108,32,97,108,119, - 97,121,115,32,114,101,109,111,118,101,32,115,101,113,117,101, - 110,99,101,115,10,32,32,32,32,111,102,32,105,109,112,111, - 114,116,108,105,98,32,102,114,97,109,101,115,32,116,104,97, - 116,32,101,110,100,32,119,105,116,104,32,97,32,99,97,108, - 108,32,116,111,32,116,104,105,115,32,102,117,110,99,116,105, - 111,110,10,10,32,32,32,32,85,115,101,32,105,116,32,105, - 110,115,116,101,97,100,32,111,102,32,97,32,110,111,114,109, - 97,108,32,99,97,108,108,32,105,110,32,112,108,97,99,101, - 115,32,119,104,101,114,101,32,105,110,99,108,117,100,105,110, - 103,32,116,104,101,32,105,109,112,111,114,116,108,105,98,10, - 32,32,32,32,102,114,97,109,101,115,32,105,110,116,114,111, - 100,117,99,101,115,32,117,110,119,97,110,116,101,100,32,110, - 111,105,115,101,32,105,110,116,111,32,116,104,101,32,116,114, - 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, - 32,32,114,10,0,0,0,41,3,218,1,102,114,29,0,0, - 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, - 0,114,45,0,0,0,41,1,218,9,118,101,114,98,111,115, - 105,116,121,99,1,0,0,0,1,0,0,0,3,0,0,0, - 4,0,0,0,71,0,0,0,115,56,0,0,0,116,0,106, - 1,106,2,124,1,107,5,114,52,124,0,106,3,100,6,131, - 1,115,30,100,3,124,0,23,0,125,0,116,4,124,0,106, - 5,124,2,140,0,100,4,116,0,106,6,144,1,131,1,1, - 0,100,5,83,0,41,7,122,61,80,114,105,110,116,32,116, - 104,101,32,109,101,115,115,97,103,101,32,116,111,32,115,116, - 100,101,114,114,32,105,102,32,45,118,47,80,89,84,72,79, - 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, - 67,0,0,0,114,68,0,0,0,41,7,114,14,0,0,0, - 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, - 114,29,0,0,0,114,10,0,0,0,114,10,0,0,0,114, - 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, - 2,12,1,10,1,8,1,114,75,0,0,0,99,1,0,0, - 0,0,0,0,0,2,0,0,0,3,0,0,0,3,0,0, - 0,115,26,0,0,0,135,0,102,1,100,1,100,2,132,8, - 125,1,116,0,124,1,136,0,131,2,1,0,124,1,83,0, - 41,3,122,49,68,101,99,111,114,97,116,111,114,32,116,111, - 32,118,101,114,105,102,121,32,116,104,101,32,110,97,109,101, - 100,32,109,111,100,117,108,101,32,105,115,32,98,117,105,108, - 116,45,105,110,46,99,2,0,0,0,0,0,0,0,2,0, - 0,0,4,0,0,0,19,0,0,0,115,40,0,0,0,124, - 1,116,0,106,1,107,7,114,30,116,2,100,1,106,3,124, - 1,131,1,100,2,124,1,144,1,131,1,130,1,136,0,124, - 0,124,1,131,2,83,0,41,3,78,122,29,123,33,114,125, - 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, - 114,14,0,0,0,218,20,98,117,105,108,116,105,110,95,109, - 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, - 19,0,0,0,218,8,102,117,108,108,110,97,109,101,41,1, - 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, - 0,0,0,0,1,10,1,12,1,8,1,122,52,95,114,101, - 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, - 114,11,0,0,0,218,17,95,114,101,113,117,105,114,101,115, - 95,98,117,105,108,116,105,110,233,0,0,0,115,6,0,0, - 0,0,2,12,5,10,1,114,81,0,0,0,99,1,0,0, - 0,0,0,0,0,2,0,0,0,3,0,0,0,3,0,0, - 0,115,26,0,0,0,135,0,102,1,100,1,100,2,132,8, - 125,1,116,0,124,1,136,0,131,2,1,0,124,1,83,0, - 41,3,122,47,68,101,99,111,114,97,116,111,114,32,116,111, - 32,118,101,114,105,102,121,32,116,104,101,32,110,97,109,101, - 100,32,109,111,100,117,108,101,32,105,115,32,102,114,111,122, - 101,110,46,99,2,0,0,0,0,0,0,0,2,0,0,0, - 4,0,0,0,19,0,0,0,115,40,0,0,0,116,0,106, - 1,124,1,131,1,115,30,116,2,100,1,106,3,124,1,131, - 1,100,2,124,1,144,1,131,1,130,1,136,0,124,0,124, - 1,131,2,83,0,41,3,78,122,27,123,33,114,125,32,105, - 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, - 0,0,41,1,114,79,0,0,0,114,10,0,0,0,114,11, - 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, - 0,115,8,0,0,0,0,1,10,1,12,1,8,1,122,50, - 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, - 0,0,2,12,5,10,1,114,84,0,0,0,99,2,0,0, - 0,0,0,0,0,4,0,0,0,3,0,0,0,67,0,0, - 0,115,64,0,0,0,116,0,124,1,124,0,131,2,125,2, - 124,1,116,1,106,2,107,6,114,52,116,1,106,2,124,1, - 25,0,125,3,116,3,124,2,124,3,131,2,1,0,116,1, - 106,2,124,1,25,0,83,0,110,8,116,4,124,2,131,1, - 83,0,100,1,83,0,41,2,122,128,76,111,97,100,32,116, - 104,101,32,115,112,101,99,105,102,105,101,100,32,109,111,100, - 117,108,101,32,105,110,116,111,32,115,121,115,46,109,111,100, - 117,108,101,115,32,97,110,100,32,114,101,116,117,114,110,32, - 105,116,46,10,10,32,32,32,32,84,104,105,115,32,109,101, - 116,104,111,100,32,105,115,32,100,101,112,114,101,99,97,116, - 101,100,46,32,32,85,115,101,32,108,111,97,100,101,114,46, - 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, + 32,108,111,99,107,32,116,97,107,101,110,46,78,99,1,0, + 0,0,0,0,0,0,1,0,0,0,2,0,0,0,19,0, + 0,0,115,10,0,0,0,116,0,136,0,61,0,100,0,83, + 0,41,1,78,41,1,218,13,95,109,111,100,117,108,101,95, + 108,111,99,107,115,41,1,218,1,95,41,1,114,15,0,0, + 0,114,10,0,0,0,114,11,0,0,0,218,2,99,98,173, + 0,0,0,115,2,0,0,0,0,1,122,28,95,103,101,116, + 95,109,111,100,117,108,101,95,108,111,99,107,46,60,108,111, + 99,97,108,115,62,46,99,98,41,7,114,51,0,0,0,218, + 8,75,101,121,69,114,114,111,114,114,20,0,0,0,114,41, + 0,0,0,114,18,0,0,0,218,8,95,119,101,97,107,114, + 101,102,90,3,114,101,102,41,3,114,15,0,0,0,114,21, + 0,0,0,114,53,0,0,0,114,10,0,0,0,41,1,114, + 15,0,0,0,114,11,0,0,0,114,45,0,0,0,159,0, + 0,0,115,24,0,0,0,0,4,4,1,2,1,14,1,14, + 1,6,1,8,1,8,1,10,2,8,1,12,2,16,1,114, + 45,0,0,0,99,1,0,0,0,0,0,0,0,2,0,0, + 0,11,0,0,0,67,0,0,0,115,62,0,0,0,116,0, + 124,0,131,1,125,1,116,1,106,2,131,0,1,0,121,12, + 124,1,106,3,131,0,1,0,87,0,110,20,4,0,116,4, + 107,10,114,48,1,0,1,0,1,0,89,0,110,10,88,0, + 124,1,106,5,131,0,1,0,100,1,83,0,41,2,97,21, + 1,0,0,82,101,108,101,97,115,101,32,116,104,101,32,103, + 108,111,98,97,108,32,105,109,112,111,114,116,32,108,111,99, + 107,44,32,97,110,100,32,97,99,113,117,105,114,101,115,32, + 116,104,101,110,32,114,101,108,101,97,115,101,32,116,104,101, + 10,32,32,32,32,109,111,100,117,108,101,32,108,111,99,107, + 32,102,111,114,32,97,32,103,105,118,101,110,32,109,111,100, + 117,108,101,32,110,97,109,101,46,10,32,32,32,32,84,104, + 105,115,32,105,115,32,117,115,101,100,32,116,111,32,101,110, + 115,117,114,101,32,97,32,109,111,100,117,108,101,32,105,115, + 32,99,111,109,112,108,101,116,101,108,121,32,105,110,105,116, + 105,97,108,105,122,101,100,44,32,105,110,32,116,104,101,10, + 32,32,32,32,101,118,101,110,116,32,105,116,32,105,115,32, + 98,101,105,110,103,32,105,109,112,111,114,116,101,100,32,98, + 121,32,97,110,111,116,104,101,114,32,116,104,114,101,97,100, + 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, + 107,32,116,97,107,101,110,46,78,41,6,114,45,0,0,0, + 114,46,0,0,0,114,47,0,0,0,114,34,0,0,0,114, + 17,0,0,0,114,35,0,0,0,41,2,114,15,0,0,0, + 114,21,0,0,0,114,10,0,0,0,114,10,0,0,0,114, + 11,0,0,0,218,19,95,108,111,99,107,95,117,110,108,111, + 99,107,95,109,111,100,117,108,101,178,0,0,0,115,14,0, + 0,0,0,7,8,1,8,1,2,1,12,1,14,3,6,2, + 114,56,0,0,0,99,1,0,0,0,0,0,0,0,3,0, + 0,0,3,0,0,0,79,0,0,0,115,10,0,0,0,124, + 0,124,1,124,2,142,0,83,0,41,1,97,46,1,0,0, + 114,101,109,111,118,101,95,105,109,112,111,114,116,108,105,98, + 95,102,114,97,109,101,115,32,105,110,32,105,109,112,111,114, + 116,46,99,32,119,105,108,108,32,97,108,119,97,121,115,32, + 114,101,109,111,118,101,32,115,101,113,117,101,110,99,101,115, + 10,32,32,32,32,111,102,32,105,109,112,111,114,116,108,105, + 98,32,102,114,97,109,101,115,32,116,104,97,116,32,101,110, + 100,32,119,105,116,104,32,97,32,99,97,108,108,32,116,111, + 32,116,104,105,115,32,102,117,110,99,116,105,111,110,10,10, + 32,32,32,32,85,115,101,32,105,116,32,105,110,115,116,101, + 97,100,32,111,102,32,97,32,110,111,114,109,97,108,32,99, + 97,108,108,32,105,110,32,112,108,97,99,101,115,32,119,104, + 101,114,101,32,105,110,99,108,117,100,105,110,103,32,116,104, + 101,32,105,109,112,111,114,116,108,105,98,10,32,32,32,32, + 102,114,97,109,101,115,32,105,110,116,114,111,100,117,99,101, + 115,32,117,110,119,97,110,116,101,100,32,110,111,105,115,101, + 32,105,110,116,111,32,116,104,101,32,116,114,97,99,101,98, + 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, + 0,0,0,41,3,218,1,102,114,49,0,0,0,90,4,107, + 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, + 114,97,109,101,115,95,114,101,109,111,118,101,100,197,0,0, + 0,115,2,0,0,0,0,8,114,58,0,0,0,114,33,0, + 0,0,41,1,218,9,118,101,114,98,111,115,105,116,121,99, + 1,0,0,0,1,0,0,0,3,0,0,0,4,0,0,0, + 71,0,0,0,115,56,0,0,0,116,0,106,1,106,2,124, + 1,107,5,114,52,124,0,106,3,100,6,131,1,115,30,100, + 3,124,0,23,0,125,0,116,4,124,0,106,5,124,2,140, + 0,100,4,116,0,106,6,144,1,131,1,1,0,100,5,83, + 0,41,7,122,61,80,114,105,110,116,32,116,104,101,32,109, + 101,115,115,97,103,101,32,116,111,32,115,116,100,101,114,114, + 32,105,102,32,45,118,47,80,89,84,72,79,78,86,69,82, + 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, + 35,32,90,4,102,105,108,101,78,41,2,114,60,0,0,0, + 114,61,0,0,0,41,7,114,14,0,0,0,218,5,102,108, + 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, + 38,0,0,0,218,6,115,116,100,101,114,114,41,3,218,7, + 109,101,115,115,97,103,101,114,59,0,0,0,114,49,0,0, + 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, + 103,101,208,0,0,0,115,8,0,0,0,0,2,12,1,10, + 1,8,1,114,68,0,0,0,99,1,0,0,0,0,0,0, + 0,2,0,0,0,3,0,0,0,3,0,0,0,115,26,0, + 0,0,135,0,102,1,100,1,100,2,132,8,125,1,116,0, + 124,1,136,0,131,2,1,0,124,1,83,0,41,3,122,49, + 68,101,99,111,114,97,116,111,114,32,116,111,32,118,101,114, + 105,102,121,32,116,104,101,32,110,97,109,101,100,32,109,111, + 100,117,108,101,32,105,115,32,98,117,105,108,116,45,105,110, + 46,99,2,0,0,0,0,0,0,0,2,0,0,0,4,0, + 0,0,19,0,0,0,115,40,0,0,0,124,1,116,0,106, + 1,107,7,114,30,116,2,100,1,106,3,124,1,131,1,100, + 2,124,1,144,1,131,1,130,1,136,0,124,0,124,1,131, + 2,83,0,41,3,78,122,29,123,33,114,125,32,105,115,32, + 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, + 0,218,20,98,117,105,108,116,105,110,95,109,111,100,117,108, + 101,95,110,97,109,101,115,218,11,73,109,112,111,114,116,69, + 114,114,111,114,114,38,0,0,0,41,2,114,26,0,0,0, + 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, + 114,97,112,112,101,114,218,0,0,0,115,8,0,0,0,0, + 1,10,1,12,1,8,1,122,52,95,114,101,113,117,105,114, + 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, + 12,0,0,0,41,2,114,72,0,0,0,114,73,0,0,0, + 114,10,0,0,0,41,1,114,72,0,0,0,114,11,0,0, + 0,218,17,95,114,101,113,117,105,114,101,115,95,98,117,105, + 108,116,105,110,216,0,0,0,115,6,0,0,0,0,2,12, + 5,10,1,114,74,0,0,0,99,1,0,0,0,0,0,0, + 0,2,0,0,0,3,0,0,0,3,0,0,0,115,26,0, + 0,0,135,0,102,1,100,1,100,2,132,8,125,1,116,0, + 124,1,136,0,131,2,1,0,124,1,83,0,41,3,122,47, + 68,101,99,111,114,97,116,111,114,32,116,111,32,118,101,114, + 105,102,121,32,116,104,101,32,110,97,109,101,100,32,109,111, + 100,117,108,101,32,105,115,32,102,114,111,122,101,110,46,99, + 2,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0, + 19,0,0,0,115,40,0,0,0,116,0,106,1,124,1,131, + 1,115,30,116,2,100,1,106,3,124,1,131,1,100,2,124, + 1,144,1,131,1,130,1,136,0,124,0,124,1,131,2,83, + 0,41,3,78,122,27,123,33,114,125,32,105,115,32,110,111, + 116,32,97,32,102,114,111,122,101,110,32,109,111,100,117,108, + 101,114,15,0,0,0,41,4,114,46,0,0,0,218,9,105, + 115,95,102,114,111,122,101,110,114,70,0,0,0,114,38,0, + 0,0,41,2,114,26,0,0,0,114,71,0,0,0,41,1, + 114,72,0,0,0,114,10,0,0,0,114,11,0,0,0,218, + 24,95,114,101,113,117,105,114,101,115,95,102,114,111,122,101, + 110,95,119,114,97,112,112,101,114,229,0,0,0,115,8,0, + 0,0,0,1,10,1,12,1,8,1,122,50,95,114,101,113, + 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, + 114,12,0,0,0,41,2,114,72,0,0,0,114,76,0,0, + 0,114,10,0,0,0,41,1,114,72,0,0,0,114,11,0, + 0,0,218,16,95,114,101,113,117,105,114,101,115,95,102,114, + 111,122,101,110,227,0,0,0,115,6,0,0,0,0,2,12, + 5,10,1,114,77,0,0,0,99,2,0,0,0,0,0,0, + 0,4,0,0,0,3,0,0,0,67,0,0,0,115,64,0, + 0,0,116,0,124,1,124,0,131,2,125,2,124,1,116,1, + 106,2,107,6,114,52,116,1,106,2,124,1,25,0,125,3, + 116,3,124,2,124,3,131,2,1,0,116,1,106,2,124,1, + 25,0,83,0,110,8,116,4,124,2,131,1,83,0,100,1, + 83,0,41,2,122,128,76,111,97,100,32,116,104,101,32,115, + 112,101,99,105,102,105,101,100,32,109,111,100,117,108,101,32, + 105,110,116,111,32,115,121,115,46,109,111,100,117,108,101,115, + 32,97,110,100,32,114,101,116,117,114,110,32,105,116,46,10, + 10,32,32,32,32,84,104,105,115,32,109,101,116,104,111,100, + 32,105,115,32,100,101,112,114,101,99,97,116,101,100,46,32, + 32,85,115,101,32,108,111,97,100,101,114,46,101,120,101,99, + 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, + 218,7,109,111,100,117,108,101,115,218,5,95,101,120,101,99, + 218,5,95,108,111,97,100,41,4,114,26,0,0,0,114,71, 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, - 104,105,109,0,1,0,0,115,12,0,0,0,0,6,10,1, - 10,1,10,1,10,1,12,2,114,90,0,0,0,99,1,0, + 104,105,109,239,0,0,0,115,12,0,0,0,0,6,10,1, + 10,1,10,1,10,1,12,2,114,84,0,0,0,99,1,0, 0,0,0,0,0,0,5,0,0,0,35,0,0,0,67,0, 0,0,115,218,0,0,0,116,0,124,0,100,1,100,0,131, 3,125,1,116,1,124,1,100,2,131,2,114,54,121,10,124, @@ -565,20 +512,20 @@ 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, + 114,6,0,0,0,114,4,0,0,0,114,86,0,0,0,218, 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, + 0,218,8,95,95,102,105,108,101,95,95,114,38,0,0,0, + 41,5,114,83,0,0,0,218,6,108,111,97,100,101,114,114, + 82,0,0,0,114,15,0,0,0,218,8,102,105,108,101,110, 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, - 16,1,0,0,115,46,0,0,0,0,2,12,1,10,4,2, + 255,0,0,0,115,46,0,0,0,0,2,12,1,10,4,2, 1,10,1,14,1,6,1,2,1,10,1,14,1,6,2,8, 1,8,4,2,1,10,1,14,1,10,1,2,1,10,1,14, - 1,8,1,12,2,18,2,114,101,0,0,0,99,0,0,0, + 1,8,1,12,2,18,2,114,95,0,0,0,99,0,0,0, 0,0,0,0,0,0,0,0,0,2,0,0,0,64,0,0, 0,115,36,0,0,0,101,0,90,1,100,0,90,2,100,1, 100,2,132,0,90,3,100,3,100,4,132,0,90,4,100,5, @@ -587,20 +534,20 @@ const unsigned char _Py_M__importlib[] = { 2,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0, 67,0,0,0,115,18,0,0,0,124,1,124,0,95,0,124, 1,106,1,124,0,95,2,100,0,83,0,41,1,78,41,3, - 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, + 218,7,95,109,111,100,117,108,101,114,89,0,0,0,218,5, + 95,115,112,101,99,41,2,114,26,0,0,0,114,83,0,0, 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, + 114,27,0,0,0,37,1,0,0,115,4,0,0,0,0,1, 6,1,122,26,95,105,110,115,116,97,108,108,101,100,95,115, 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, 0,0,0,115,28,0,0,0,100,1,124,0,106,0,95,1, 124,0,106,2,116,3,106,4,124,0,106,0,106,5,60,0, - 100,0,83,0,41,2,78,84,41,6,114,104,0,0,0,218, - 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, + 100,0,83,0,41,2,78,84,41,6,114,98,0,0,0,218, + 13,95,105,110,105,116,105,97,108,105,122,105,110,103,114,97, + 0,0,0,114,14,0,0,0,114,79,0,0,0,114,15,0, + 0,0,41,1,114,26,0,0,0,114,10,0,0,0,114,10, + 0,0,0,114,11,0,0,0,114,48,0,0,0,41,1,0, 0,115,4,0,0,0,0,4,8,1,122,27,95,105,110,115, 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, @@ -615,1270 +562,1270 @@ const unsigned char _Py_M__importlib[] = { 0,0,0,3,0,0,0,115,0,0,0,115,22,0,0,0, 124,0,93,14,125,1,124,1,100,0,107,9,86,0,1,0, 113,2,100,0,83,0,41,1,78,114,10,0,0,0,41,2, - 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, - 0,0,115,2,0,0,0,4,0,122,45,95,105,110,115,116, - 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, - 0,65,1,0,0,115,18,0,0,0,0,1,2,1,6,1, - 18,1,2,1,14,1,14,1,8,2,20,2,122,26,95,105, - 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, - 0,0,52,1,0,0,115,6,0,0,0,8,2,8,4,8, - 7,114,102,0,0,0,99,0,0,0,0,0,0,0,0,0, - 0,0,0,4,0,0,0,64,0,0,0,115,114,0,0,0, - 101,0,90,1,100,0,90,2,100,1,90,3,100,2,100,2, - 100,2,100,3,156,3,100,4,100,5,132,2,90,4,100,6, - 100,7,132,0,90,5,100,8,100,9,132,0,90,6,101,7, - 100,10,100,11,132,0,131,1,90,8,101,8,106,9,100,12, - 100,11,132,0,131,1,90,8,101,7,100,13,100,14,132,0, - 131,1,90,10,101,7,100,15,100,16,132,0,131,1,90,11, - 101,11,106,9,100,17,100,16,132,0,131,1,90,11,100,2, - 83,0,41,18,218,10,77,111,100,117,108,101,83,112,101,99, - 97,208,5,0,0,84,104,101,32,115,112,101,99,105,102,105, - 99,97,116,105,111,110,32,102,111,114,32,97,32,109,111,100, - 117,108,101,44,32,117,115,101,100,32,102,111,114,32,108,111, - 97,100,105,110,103,46,10,10,32,32,32,32,65,32,109,111, - 100,117,108,101,39,115,32,115,112,101,99,32,105,115,32,116, - 104,101,32,115,111,117,114,99,101,32,102,111,114,32,105,110, - 102,111,114,109,97,116,105,111,110,32,97,98,111,117,116,32, - 116,104,101,32,109,111,100,117,108,101,46,32,32,70,111,114, - 10,32,32,32,32,100,97,116,97,32,97,115,115,111,99,105, - 97,116,101,100,32,119,105,116,104,32,116,104,101,32,109,111, - 100,117,108,101,44,32,105,110,99,108,117,100,105,110,103,32, - 115,111,117,114,99,101,44,32,117,115,101,32,116,104,101,32, - 115,112,101,99,39,115,10,32,32,32,32,108,111,97,100,101, - 114,46,10,10,32,32,32,32,96,110,97,109,101,96,32,105, - 115,32,116,104,101,32,97,98,115,111,108,117,116,101,32,110, - 97,109,101,32,111,102,32,116,104,101,32,109,111,100,117,108, - 101,46,32,32,96,108,111,97,100,101,114,96,32,105,115,32, - 116,104,101,32,108,111,97,100,101,114,10,32,32,32,32,116, - 111,32,117,115,101,32,119,104,101,110,32,108,111,97,100,105, - 110,103,32,116,104,101,32,109,111,100,117,108,101,46,32,32, - 96,112,97,114,101,110,116,96,32,105,115,32,116,104,101,32, - 110,97,109,101,32,111,102,32,116,104,101,10,32,32,32,32, - 112,97,99,107,97,103,101,32,116,104,101,32,109,111,100,117, - 108,101,32,105,115,32,105,110,46,32,32,84,104,101,32,112, - 97,114,101,110,116,32,105,115,32,100,101,114,105,118,101,100, - 32,102,114,111,109,32,116,104,101,32,110,97,109,101,46,10, - 10,32,32,32,32,96,105,115,95,112,97,99,107,97,103,101, - 96,32,100,101,116,101,114,109,105,110,101,115,32,105,102,32, - 116,104,101,32,109,111,100,117,108,101,32,105,115,32,99,111, - 110,115,105,100,101,114,101,100,32,97,32,112,97,99,107,97, - 103,101,32,111,114,10,32,32,32,32,110,111,116,46,32,32, - 79,110,32,109,111,100,117,108,101,115,32,116,104,105,115,32, - 105,115,32,114,101,102,108,101,99,116,101,100,32,98,121,32, - 116,104,101,32,96,95,95,112,97,116,104,95,95,96,32,97, - 116,116,114,105,98,117,116,101,46,10,10,32,32,32,32,96, - 111,114,105,103,105,110,96,32,105,115,32,116,104,101,32,115, - 112,101,99,105,102,105,99,32,108,111,99,97,116,105,111,110, - 32,117,115,101,100,32,98,121,32,116,104,101,32,108,111,97, - 100,101,114,32,102,114,111,109,32,119,104,105,99,104,32,116, - 111,10,32,32,32,32,108,111,97,100,32,116,104,101,32,109, - 111,100,117,108,101,44,32,105,102,32,116,104,97,116,32,105, - 110,102,111,114,109,97,116,105,111,110,32,105,115,32,97,118, - 97,105,108,97,98,108,101,46,32,32,87,104,101,110,32,102, - 105,108,101,110,97,109,101,32,105,115,10,32,32,32,32,115, - 101,116,44,32,111,114,105,103,105,110,32,119,105,108,108,32, - 109,97,116,99,104,46,10,10,32,32,32,32,96,104,97,115, - 95,108,111,99,97,116,105,111,110,96,32,105,110,100,105,99, - 97,116,101,115,32,116,104,97,116,32,97,32,115,112,101,99, - 39,115,32,34,111,114,105,103,105,110,34,32,114,101,102,108, - 101,99,116,115,32,97,32,108,111,99,97,116,105,111,110,46, - 10,32,32,32,32,87,104,101,110,32,116,104,105,115,32,105, - 115,32,84,114,117,101,44,32,96,95,95,102,105,108,101,95, - 95,96,32,97,116,116,114,105,98,117,116,101,32,111,102,32, - 116,104,101,32,109,111,100,117,108,101,32,105,115,32,115,101, - 116,46,10,10,32,32,32,32,96,99,97,99,104,101,100,96, - 32,105,115,32,116,104,101,32,108,111,99,97,116,105,111,110, - 32,111,102,32,116,104,101,32,99,97,99,104,101,100,32,98, - 121,116,101,99,111,100,101,32,102,105,108,101,44,32,105,102, - 32,97,110,121,46,32,32,73,116,10,32,32,32,32,99,111, - 114,114,101,115,112,111,110,100,115,32,116,111,32,116,104,101, - 32,96,95,95,99,97,99,104,101,100,95,95,96,32,97,116, - 116,114,105,98,117,116,101,46,10,10,32,32,32,32,96,115, - 117,98,109,111,100,117,108,101,95,115,101,97,114,99,104,95, - 108,111,99,97,116,105,111,110,115,96,32,105,115,32,116,104, - 101,32,115,101,113,117,101,110,99,101,32,111,102,32,112,97, - 116,104,32,101,110,116,114,105,101,115,32,116,111,10,32,32, - 32,32,115,101,97,114,99,104,32,119,104,101,110,32,105,109, - 112,111,114,116,105,110,103,32,115,117,98,109,111,100,117,108, - 101,115,46,32,32,73,102,32,115,101,116,44,32,105,115,95, - 112,97,99,107,97,103,101,32,115,104,111,117,108,100,32,98, - 101,10,32,32,32,32,84,114,117,101,45,45,97,110,100,32, - 70,97,108,115,101,32,111,116,104,101,114,119,105,115,101,46, - 10,10,32,32,32,32,80,97,99,107,97,103,101,115,32,97, - 114,101,32,115,105,109,112,108,121,32,109,111,100,117,108,101, - 115,32,116,104,97,116,32,40,109,97,121,41,32,104,97,118, - 101,32,115,117,98,109,111,100,117,108,101,115,46,32,32,73, - 102,32,97,32,115,112,101,99,10,32,32,32,32,104,97,115, - 32,97,32,110,111,110,45,78,111,110,101,32,118,97,108,117, - 101,32,105,110,32,96,115,117,98,109,111,100,117,108,101,95, - 115,101,97,114,99,104,95,108,111,99,97,116,105,111,110,115, - 96,44,32,116,104,101,32,105,109,112,111,114,116,10,32,32, - 32,32,115,121,115,116,101,109,32,119,105,108,108,32,99,111, - 110,115,105,100,101,114,32,109,111,100,117,108,101,115,32,108, - 111,97,100,101,100,32,102,114,111,109,32,116,104,101,32,115, - 112,101,99,32,97,115,32,112,97,99,107,97,103,101,115,46, - 10,10,32,32,32,32,79,110,108,121,32,102,105,110,100,101, - 114,115,32,40,115,101,101,32,105,109,112,111,114,116,108,105, - 98,46,97,98,99,46,77,101,116,97,80,97,116,104,70,105, - 110,100,101,114,32,97,110,100,10,32,32,32,32,105,109,112, - 111,114,116,108,105,98,46,97,98,99,46,80,97,116,104,69, - 110,116,114,121,70,105,110,100,101,114,41,32,115,104,111,117, - 108,100,32,109,111,100,105,102,121,32,77,111,100,117,108,101, - 83,112,101,99,32,105,110,115,116,97,110,99,101,115,46,10, - 10,32,32,32,32,78,41,3,218,6,111,114,105,103,105,110, - 218,12,108,111,97,100,101,114,95,115,116,97,116,101,218,10, - 105,115,95,112,97,99,107,97,103,101,99,3,0,0,0,3, - 0,0,0,6,0,0,0,2,0,0,0,67,0,0,0,115, - 54,0,0,0,124,1,124,0,95,0,124,2,124,0,95,1, - 124,3,124,0,95,2,124,4,124,0,95,3,124,5,114,32, - 103,0,110,2,100,0,124,0,95,4,100,1,124,0,95,5, - 100,0,124,0,95,6,100,0,83,0,41,2,78,70,41,7, - 114,15,0,0,0,114,99,0,0,0,114,107,0,0,0,114, - 108,0,0,0,218,26,115,117,98,109,111,100,117,108,101,95, - 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, - 115,14,0,0,0,0,2,6,1,6,1,6,1,6,1,14, - 3,6,1,122,19,77,111,100,117,108,101,83,112,101,99,46, - 95,95,105,110,105,116,95,95,99,1,0,0,0,0,0,0, - 0,2,0,0,0,4,0,0,0,67,0,0,0,115,102,0, - 0,0,100,1,106,0,124,0,106,1,131,1,100,2,106,0, - 124,0,106,2,131,1,103,2,125,1,124,0,106,3,100,0, - 107,9,114,52,124,1,106,4,100,3,106,0,124,0,106,3, - 131,1,131,1,1,0,124,0,106,5,100,0,107,9,114,80, - 124,1,106,4,100,4,106,0,124,0,106,5,131,1,131,1, - 1,0,100,5,106,0,124,0,106,6,106,7,100,6,106,8, - 124,1,131,1,131,2,83,0,41,7,78,122,9,110,97,109, - 101,61,123,33,114,125,122,11,108,111,97,100,101,114,61,123, - 33,114,125,122,11,111,114,105,103,105,110,61,123,33,114,125, - 122,29,115,117,98,109,111,100,117,108,101,95,115,101,97,114, - 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114,117,0,0,0,175,1,0,0,115,2,0,0,0,0,2, - 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, - 1,0,0,115,20,0,0,0,8,35,4,2,4,1,14,11, - 8,10,8,12,12,9,14,4,12,8,12,4,114,106,0,0, - 0,41,2,114,107,0,0,0,114,109,0,0,0,99,2,0, - 0,0,2,0,0,0,6,0,0,0,15,0,0,0,67,0, - 0,0,115,164,0,0,0,116,0,124,1,100,1,131,2,114, - 80,116,1,100,2,107,8,114,22,116,2,130,1,116,1,106, - 3,125,4,124,3,100,2,107,8,114,50,124,4,124,0,100, - 3,124,1,144,1,131,1,83,0,124,3,114,58,103,0,110, - 2,100,2,125,5,124,4,124,0,100,3,124,1,100,4,124, - 5,144,2,131,1,83,0,124,3,100,2,107,8,114,144,116, - 0,124,1,100,5,131,2,114,140,121,14,124,1,106,4,124, - 0,131,1,125,3,87,0,113,144,4,0,116,5,107,10,114, - 136,1,0,1,0,1,0,100,2,125,3,89,0,113,144,88, - 0,110,4,100,6,125,3,116,6,124,0,124,1,100,7,124, - 2,100,5,124,3,144,2,131,2,83,0,41,8,122,53,82, - 101,116,117,114,110,32,97,32,109,111,100,117,108,101,32,115, - 112,101,99,32,98,97,115,101,100,32,111,110,32,118,97,114, - 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, - 119,0,0,0,114,120,0,0,0,218,23,115,112,101,99,95, - 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, - 0,0,114,109,0,0,0,114,128,0,0,0,90,6,115,101, - 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, - 0,0,2,10,1,8,1,4,1,6,2,8,1,14,1,12, - 1,10,1,8,2,8,1,10,1,2,1,14,1,14,1,12, - 3,4,2,114,85,0,0,0,99,3,0,0,0,0,0,0, - 0,8,0,0,0,53,0,0,0,67,0,0,0,115,58,1, - 0,0,121,10,124,0,106,0,125,3,87,0,110,20,4,0, - 116,1,107,10,114,30,1,0,1,0,1,0,89,0,110,14, - 88,0,124,3,100,0,107,9,114,44,124,3,83,0,124,0, - 106,2,125,4,124,1,100,0,107,8,114,90,121,10,124,0, - 106,3,125,1,87,0,110,20,4,0,116,1,107,10,114,88, - 1,0,1,0,1,0,89,0,110,2,88,0,121,10,124,0, - 106,4,125,5,87,0,110,24,4,0,116,1,107,10,114,124, - 1,0,1,0,1,0,100,0,125,5,89,0,110,2,88,0, - 124,2,100,0,107,8,114,184,124,5,100,0,107,8,114,180, - 121,10,124,1,106,5,125,2,87,0,113,184,4,0,116,1, - 107,10,114,176,1,0,1,0,1,0,100,0,125,2,89,0, - 113,184,88,0,110,4,124,5,125,2,121,10,124,0,106,6, - 125,6,87,0,110,24,4,0,116,1,107,10,114,218,1,0, - 1,0,1,0,100,0,125,6,89,0,110,2,88,0,121,14, - 116,7,124,0,106,8,131,1,125,7,87,0,110,26,4,0, - 116,1,107,10,144,1,114,4,1,0,1,0,1,0,100,0, - 125,7,89,0,110,2,88,0,116,9,124,4,124,1,100,1, - 124,2,144,1,131,2,125,3,124,5,100,0,107,8,144,1, - 114,36,100,2,110,2,100,3,124,3,95,10,124,6,124,3, - 95,11,124,7,124,3,95,12,124,3,83,0,41,4,78,114, - 107,0,0,0,70,84,41,13,114,95,0,0,0,114,96,0, - 0,0,114,1,0,0,0,114,91,0,0,0,114,98,0,0, - 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, - 116,0,0,0,114,110,0,0,0,114,10,0,0,0,114,10, - 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, - 72,0,0,0,0,2,2,1,10,1,14,1,6,2,8,1, - 4,2,6,1,8,1,2,1,10,1,14,2,6,1,2,1, - 10,1,14,1,10,1,8,1,8,1,2,1,10,1,14,1, - 12,2,4,1,2,1,10,1,14,1,10,1,2,1,14,1, - 16,1,10,2,16,1,20,1,6,1,6,1,114,132,0,0, - 0,70,41,1,218,8,111,118,101,114,114,105,100,101,99,2, - 0,0,0,1,0,0,0,5,0,0,0,59,0,0,0,67, - 0,0,0,115,212,1,0,0,124,2,115,20,116,0,124,1, - 100,1,100,0,131,3,100,0,107,8,114,54,121,12,124,0, - 106,1,124,1,95,2,87,0,110,20,4,0,116,3,107,10, - 114,52,1,0,1,0,1,0,89,0,110,2,88,0,124,2, - 115,74,116,0,124,1,100,2,100,0,131,3,100,0,107,8, - 114,166,124,0,106,4,125,3,124,3,100,0,107,8,114,134, - 124,0,106,5,100,0,107,9,114,134,116,6,100,0,107,8, - 114,110,116,7,130,1,116,6,106,8,125,4,124,4,106,9, - 124,4,131,1,125,3,124,0,106,5,124,3,95,10,121,10, - 124,3,124,1,95,11,87,0,110,20,4,0,116,3,107,10, - 114,164,1,0,1,0,1,0,89,0,110,2,88,0,124,2, - 115,186,116,0,124,1,100,3,100,0,131,3,100,0,107,8, - 114,220,121,12,124,0,106,12,124,1,95,13,87,0,110,20, - 4,0,116,3,107,10,114,218,1,0,1,0,1,0,89,0, - 110,2,88,0,121,10,124,0,124,1,95,14,87,0,110,20, - 4,0,116,3,107,10,114,250,1,0,1,0,1,0,89,0, - 110,2,88,0,124,2,144,1,115,20,116,0,124,1,100,4, - 100,0,131,3,100,0,107,8,144,1,114,68,124,0,106,5, - 100,0,107,9,144,1,114,68,121,12,124,0,106,5,124,1, - 95,15,87,0,110,22,4,0,116,3,107,10,144,1,114,66, - 1,0,1,0,1,0,89,0,110,2,88,0,124,0,106,16, - 144,1,114,208,124,2,144,1,115,100,116,0,124,1,100,5, - 100,0,131,3,100,0,107,8,144,1,114,136,121,12,124,0, - 106,17,124,1,95,18,87,0,110,22,4,0,116,3,107,10, - 144,1,114,134,1,0,1,0,1,0,89,0,110,2,88,0, - 124,2,144,1,115,160,116,0,124,1,100,6,100,0,131,3, - 100,0,107,8,144,1,114,208,124,0,106,19,100,0,107,9, - 144,1,114,208,121,12,124,0,106,19,124,1,95,20,87,0, - 110,22,4,0,116,3,107,10,144,1,114,206,1,0,1,0, - 1,0,89,0,110,2,88,0,124,1,83,0,41,7,78,114, - 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, - 114,110,0,0,0,114,119,0,0,0,114,120,0,0,0,218, - 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, - 133,0,0,0,114,99,0,0,0,114,135,0,0,0,114,10, - 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, - 115,254,1,0,0,115,92,0,0,0,0,4,20,1,2,1, - 12,1,14,1,6,2,20,1,6,1,8,2,10,1,8,1, - 4,1,6,2,10,1,8,1,2,1,10,1,14,1,6,2, - 20,1,2,1,12,1,14,1,6,2,2,1,10,1,14,1, - 6,2,24,1,12,1,2,1,12,1,16,1,6,2,8,1, - 24,1,2,1,12,1,16,1,6,2,24,1,12,1,2,1, - 12,1,16,1,6,1,114,137,0,0,0,99,1,0,0,0, - 0,0,0,0,2,0,0,0,5,0,0,0,67,0,0,0, - 115,92,0,0,0,100,1,125,1,116,0,124,0,106,1,100, - 2,131,2,114,30,124,0,106,1,106,2,124,0,131,1,125, - 1,110,30,116,0,124,0,106,1,100,3,131,2,114,60,116, - 3,106,4,100,4,116,5,100,5,100,6,144,1,131,2,1, - 0,124,1,100,1,107,8,114,78,116,6,124,0,106,7,131, - 1,125,1,116,8,124,0,124,1,131,2,1,0,124,1,83, - 0,41,7,122,43,67,114,101,97,116,101,32,97,32,109,111, - 100,117,108,101,32,98,97,115,101,100,32,111,110,32,116,104, - 101,32,112,114,111,118,105,100,101,100,32,115,112,101,99,46, - 78,218,13,99,114,101,97,116,101,95,109,111,100,117,108,101, - 218,11,101,120,101,99,95,109,111,100,117,108,101,122,87,115, - 116,97,114,116,105,110,103,32,105,110,32,80,121,116,104,111, - 110,32,51,46,54,44,32,108,111,97,100,101,114,115,32,100, - 101,102,105,110,105,110,103,32,101,120,101,99,95,109,111,100, - 117,108,101,40,41,32,109,117,115,116,32,97,108,115,111,32, - 100,101,102,105,110,101,32,99,114,101,97,116,101,95,109,111, - 100,117,108,101,40,41,218,10,115,116,97,99,107,108,101,118, - 101,108,233,2,0,0,0,41,9,114,4,0,0,0,114,99, - 0,0,0,114,138,0,0,0,218,9,95,119,97,114,110,105, - 110,103,115,218,4,119,97,114,110,218,18,68,101,112,114,101, - 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, - 0,0,0,114,89,0,0,0,114,10,0,0,0,114,10,0, - 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, - 0,0,0,3,4,1,12,3,14,1,12,1,6,2,12,1, - 8,1,10,1,10,1,114,145,0,0,0,99,1,0,0,0, - 0,0,0,0,2,0,0,0,3,0,0,0,67,0,0,0, - 115,110,0,0,0,124,0,106,0,100,1,107,8,114,14,100, - 2,110,4,124,0,106,0,125,1,124,0,106,1,100,1,107, - 8,114,68,124,0,106,2,100,1,107,8,114,52,100,3,106, - 3,124,1,131,1,83,0,113,106,100,4,106,3,124,1,124, - 0,106,2,131,2,83,0,110,38,124,0,106,4,114,90,100, - 5,106,3,124,1,124,0,106,1,131,2,83,0,110,16,100, - 6,106,3,124,0,106,0,124,0,106,1,131,2,83,0,100, - 1,83,0,41,7,122,38,82,101,116,117,114,110,32,116,104, - 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, - 0,0,0,122,13,60,109,111,100,117,108,101,32,123,33,114, - 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, - 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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, - 117,108,101,115,114,15,0,0,0,78,122,14,109,105,115,115, - 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, - 0,0,114,110,0,0,0,114,137,0,0,0,114,4,0,0, - 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, - 0,115,32,0,0,0,0,2,6,1,8,1,10,1,16,1, - 10,1,14,1,10,1,10,1,16,2,16,1,4,1,16,1, - 12,4,14,2,22,1,114,86,0,0,0,99,1,0,0,0, - 0,0,0,0,2,0,0,0,27,0,0,0,67,0,0,0, - 115,206,0,0,0,124,0,106,0,106,1,124,0,106,2,131, - 1,1,0,116,3,106,4,124,0,106,2,25,0,125,1,116, 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1,12,6,2,1,12,8,12,4,12,9,12,9,2,1,14, - 5,2,1,14,5,2,1,114,161,0,0,0,99,0,0,0, - 0,0,0,0,0,0,0,0,0,2,0,0,0,64,0,0, - 0,115,32,0,0,0,101,0,90,1,100,0,90,2,100,1, - 90,3,100,2,100,3,132,0,90,4,100,4,100,5,132,0, - 90,5,100,6,83,0,41,7,218,18,95,73,109,112,111,114, - 116,76,111,99,107,67,111,110,116,101,120,116,122,36,67,111, - 110,116,101,120,116,32,109,97,110,97,103,101,114,32,102,111, - 114,32,116,104,101,32,105,109,112,111,114,116,32,108,111,99, - 107,46,99,1,0,0,0,0,0,0,0,1,0,0,0,1, - 0,0,0,67,0,0,0,115,12,0,0,0,116,0,106,1, - 131,0,1,0,100,1,83,0,41,2,122,24,65,99,113,117, - 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, - 0,41,1,114,19,0,0,0,114,10,0,0,0,114,10,0, - 0,0,114,11,0,0,0,114,23,0,0,0,84,3,0,0, - 115,2,0,0,0,0,2,122,28,95,73,109,112,111,114,116, - 76,111,99,107,67,111,110,116,101,120,116,46,95,95,101,110, - 116,101,114,95,95,99,4,0,0,0,0,0,0,0,4,0, - 0,0,1,0,0,0,67,0,0,0,115,12,0,0,0,116, - 0,106,1,131,0,1,0,100,1,83,0,41,2,122,60,82, - 101,108,101,97,115,101,32,116,104,101,32,105,109,112,111,114, - 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, - 8,101,120,99,95,116,121,112,101,90,9,101,120,99,95,118, - 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, - 0,2,122,27,95,73,109,112,111,114,116,76,111,99,107,67, - 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, - 114,10,0,0,0,114,10,0,0,0,114,10,0,0,0,114, - 11,0,0,0,114,166,0,0,0,80,3,0,0,115,6,0, - 0,0,8,2,4,2,8,4,114,166,0,0,0,99,3,0, - 0,0,0,0,0,0,5,0,0,0,4,0,0,0,67,0, - 0,0,115,64,0,0,0,124,1,106,0,100,1,124,2,100, - 2,24,0,131,2,125,3,116,1,124,3,131,1,124,2,107, - 0,114,36,116,2,100,3,131,1,130,1,124,3,100,4,25, - 0,125,4,124,0,114,60,100,5,106,3,124,4,124,0,131, - 2,83,0,124,4,83,0,41,6,122,50,82,101,115,111,108, - 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, - 0,0,114,45,0,0,0,122,50,97,116,116,101,109,112,116, - 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, - 122,5,123,125,46,123,125,41,4,218,6,114,115,112,108,105, - 116,218,3,108,101,110,218,10,86,97,108,117,101,69,114,114, - 111,114,114,50,0,0,0,41,5,114,15,0,0,0,218,7, - 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, - 0,0,2,16,1,12,1,8,1,8,1,114,172,0,0,0, - 99,3,0,0,0,0,0,0,0,4,0,0,0,3,0,0, - 0,67,0,0,0,115,34,0,0,0,124,0,106,0,124,1, - 124,2,131,2,125,3,124,3,100,0,107,8,114,24,100,0, - 83,0,116,1,124,1,124,3,131,2,83,0,41,1,78,41, - 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, - 99,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11, - 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, - 3,12,1,8,1,4,1,114,174,0,0,0,99,3,0,0, - 0,0,0,0,0,10,0,0,0,27,0,0,0,67,0,0, - 0,115,244,0,0,0,116,0,106,1,125,3,124,3,100,1, - 107,8,114,22,116,2,100,2,131,1,130,1,124,3,115,38, - 116,3,106,4,100,3,116,5,131,2,1,0,124,0,116,0, - 106,6,107,6,125,4,120,190,124,3,68,0,93,178,125,5, - 116,7,131,0,143,72,1,0,121,10,124,5,106,8,125,6, - 87,0,110,42,4,0,116,9,107,10,114,118,1,0,1,0, - 1,0,116,10,124,5,124,0,124,1,131,3,125,7,124,7, - 100,1,107,8,114,114,119,54,89,0,110,14,88,0,124,6, - 124,0,124,1,124,2,131,3,125,7,87,0,100,1,81,0, - 82,0,88,0,124,7,100,1,107,9,114,54,124,4,12,0, - 114,228,124,0,116,0,106,6,107,6,114,228,116,0,106,6, - 124,0,25,0,125,8,121,10,124,8,106,11,125,9,87,0, - 110,20,4,0,116,9,107,10,114,206,1,0,1,0,1,0, - 124,7,83,0,88,0,124,9,100,1,107,8,114,222,124,7, - 83,0,113,232,124,9,83,0,113,54,124,7,83,0,113,54, - 87,0,100,1,83,0,100,1,83,0,41,4,122,21,70,105, - 110,100,32,97,32,109,111,100,117,108,101,39,115,32,115,112, - 101,99,46,78,122,53,115,121,115,46,109,101,116,97,95,112, - 97,116,104,32,105,115,32,78,111,110,101,44,32,80,121,116, - 104,111,110,32,105,115,32,108,105,107,101,108,121,32,115,104, - 117,116,116,105,110,103,32,100,111,119,110,122,22,115,121,115, - 46,109,101,116,97,95,112,97,116,104,32,105,115,32,101,109, - 112,116,121,41,12,114,14,0,0,0,218,9,109,101,116,97, - 95,112,97,116,104,114,77,0,0,0,114,142,0,0,0,114, - 143,0,0,0,218,13,73,109,112,111,114,116,87,97,114,110, - 105,110,103,114,21,0,0,0,114,166,0,0,0,114,155,0, - 0,0,114,96,0,0,0,114,174,0,0,0,114,95,0,0, - 0,41,10,114,15,0,0,0,114,153,0,0,0,114,154,0, - 0,0,114,175,0,0,0,90,9,105,115,95,114,101,108,111, - 97,100,114,173,0,0,0,114,155,0,0,0,114,88,0,0, - 0,114,89,0,0,0,114,95,0,0,0,114,10,0,0,0, - 114,10,0,0,0,114,11,0,0,0,218,10,95,102,105,110, - 100,95,115,112,101,99,111,3,0,0,115,54,0,0,0,0, - 2,6,1,8,2,8,3,4,1,12,5,10,1,10,1,8, - 1,2,1,10,1,14,1,12,1,8,1,8,2,22,1,8, - 2,16,1,10,1,2,1,10,1,14,4,6,2,8,1,6, - 2,6,2,8,2,114,177,0,0,0,99,3,0,0,0,0, - 0,0,0,4,0,0,0,4,0,0,0,67,0,0,0,115, - 140,0,0,0,116,0,124,0,116,1,131,2,115,28,116,2, - 100,1,106,3,116,4,124,0,131,1,131,1,131,1,130,1, - 124,2,100,2,107,0,114,44,116,5,100,3,131,1,130,1, - 124,2,100,2,107,4,114,114,116,0,124,1,116,1,131,2, - 115,72,116,2,100,4,131,1,130,1,110,42,124,1,115,86, - 116,6,100,5,131,1,130,1,110,28,124,1,116,7,106,8, - 107,7,114,114,100,6,125,3,116,9,124,3,106,3,124,1, - 131,1,131,1,130,1,124,0,12,0,114,136,124,2,100,2, - 107,2,114,136,116,5,100,7,131,1,130,1,100,8,83,0, - 41,9,122,28,86,101,114,105,102,121,32,97,114,103,117,109, - 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, - 125,114,33,0,0,0,122,18,108,101,118,101,108,32,109,117, - 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, - 116,111,32,97,32,115,116,114,105,110,103,122,54,97,116,116, - 101,109,112,116,101,100,32,114,101,108,97,116,105,118,101,32, - 105,109,112,111,114,116,32,119,105,116,104,32,110,111,32,107, - 110,111,119,110,32,112,97,114,101,110,116,32,112,97,99,107, - 97,103,101,122,61,80,97,114,101,110,116,32,109,111,100,117, - 108,101,32,123,33,114,125,32,110,111,116,32,108,111,97,100, - 101,100,44,32,99,97,110,110,111,116,32,112,101,114,102,111, - 114,109,32,114,101,108,97,116,105,118,101,32,105,109,112,111, - 114,116,122,17,69,109,112,116,121,32,109,111,100,117,108,101, - 32,110,97,109,101,78,41,10,218,10,105,115,105,110,115,116, - 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, - 0,0,0,114,77,0,0,0,114,14,0,0,0,114,21,0, - 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, - 114,148,0,0,0,114,10,0,0,0,114,10,0,0,0,114, - 11,0,0,0,218,13,95,115,97,110,105,116,121,95,99,104, - 101,99,107,158,3,0,0,115,28,0,0,0,0,2,10,1, - 18,1,8,1,8,1,8,1,10,1,10,1,4,1,10,2, - 10,1,4,2,14,1,14,1,114,182,0,0,0,122,16,78, - 111,32,109,111,100,117,108,101,32,110,97,109,101,100,32,122, - 4,123,33,114,125,99,2,0,0,0,0,0,0,0,8,0, - 0,0,12,0,0,0,67,0,0,0,115,224,0,0,0,100, - 0,125,2,124,0,106,0,100,1,131,1,100,2,25,0,125, - 3,124,3,114,136,124,3,116,1,106,2,107,7,114,42,116, - 3,124,1,124,3,131,2,1,0,124,0,116,1,106,2,107, - 6,114,62,116,1,106,2,124,0,25,0,83,0,116,1,106, - 2,124,3,25,0,125,4,121,10,124,4,106,4,125,2,87, - 0,110,52,4,0,116,5,107,10,114,134,1,0,1,0,1, - 0,116,6,100,3,23,0,106,7,124,0,124,3,131,2,125, - 5,116,8,124,5,100,4,124,0,144,1,131,1,100,0,130, - 2,89,0,110,2,88,0,116,9,124,0,124,2,131,2,125, - 6,124,6,100,0,107,8,114,176,116,8,116,6,106,7,124, - 0,131,1,100,4,124,0,144,1,131,1,130,1,110,8,116, - 10,124,6,131,1,125,7,124,3,114,220,116,1,106,2,124, - 3,25,0,125,4,116,11,124,4,124,0,106,0,100,1,131, - 1,100,5,25,0,124,7,131,3,1,0,124,7,83,0,41, - 6,78,114,121,0,0,0,114,33,0,0,0,122,23,59,32, - 123,33,114,125,32,105,115,32,110,111,116,32,97,32,112,97, - 99,107,97,103,101,114,15,0,0,0,114,141,0,0,0,41, - 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, - 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, - 101,100,181,3,0,0,115,42,0,0,0,0,1,4,1,14, - 1,4,1,10,1,10,2,10,1,10,1,10,1,2,1,10, - 1,14,1,16,1,22,1,10,1,8,1,22,2,8,1,4, - 2,10,1,22,1,114,185,0,0,0,99,2,0,0,0,0, - 0,0,0,2,0,0,0,10,0,0,0,67,0,0,0,115, - 30,0,0,0,116,0,124,0,131,1,143,12,1,0,116,1, - 124,0,124,1,131,2,83,0,81,0,82,0,88,0,100,1, - 83,0,41,2,122,54,70,105,110,100,32,97,110,100,32,108, - 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, - 114,184,0,0,0,114,10,0,0,0,114,10,0,0,0,114, - 11,0,0,0,218,14,95,102,105,110,100,95,97,110,100,95, - 108,111,97,100,208,3,0,0,115,4,0,0,0,0,2,10, - 1,114,186,0,0,0,114,33,0,0,0,99,3,0,0,0, - 0,0,0,0,5,0,0,0,4,0,0,0,67,0,0,0, - 115,122,0,0,0,116,0,124,0,124,1,124,2,131,3,1, - 0,124,2,100,1,107,4,114,32,116,1,124,0,124,1,124, - 2,131,3,125,0,116,2,106,3,131,0,1,0,124,0,116, - 4,106,5,107,7,114,60,116,6,124,0,116,7,131,2,83, - 0,116,4,106,5,124,0,25,0,125,3,124,3,100,2,107, - 8,114,110,116,2,106,8,131,0,1,0,100,3,106,9,124, - 0,131,1,125,4,116,10,124,4,100,4,124,0,144,1,131, - 1,130,1,116,11,124,0,131,1,1,0,124,3,83,0,41, - 5,97,50,1,0,0,73,109,112,111,114,116,32,97,110,100, - 32,114,101,116,117,114,110,32,116,104,101,32,109,111,100,117, - 108,101,32,98,97,115,101,100,32,111,110,32,105,116,115,32, - 110,97,109,101,44,32,116,104,101,32,112,97,99,107,97,103, - 101,32,116,104,101,32,99,97,108,108,32,105,115,10,32,32, - 32,32,98,101,105,110,103,32,109,97,100,101,32,102,114,111, - 109,44,32,97,110,100,32,116,104,101,32,108,101,118,101,108, - 32,97,100,106,117,115,116,109,101,110,116,46,10,10,32,32, - 32,32,84,104,105,115,32,102,117,110,99,116,105,111,110,32, - 114,101,112,114,101,115,101,110,116,115,32,116,104,101,32,103, - 114,101,97,116,101,115,116,32,99,111,109,109,111,110,32,100, - 101,110,111,109,105,110,97,116,111,114,32,111,102,32,102,117, - 110,99,116,105,111,110,97,108,105,116,121,10,32,32,32,32, - 98,101,116,119,101,101,110,32,105,109,112,111,114,116,95,109, - 111,100,117,108,101,32,97,110,100,32,95,95,105,109,112,111, - 114,116,95,95,46,32,84,104,105,115,32,105,110,99,108,117, - 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, - 116,46,10,10,32,32,32,32,114,33,0,0,0,78,122,40, - 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, - 171,0,0,0,114,89,0,0,0,114,74,0,0,0,114,10, - 0,0,0,114,10,0,0,0,114,11,0,0,0,114,187,0, - 0,0,214,3,0,0,115,28,0,0,0,0,9,12,1,8, - 1,12,1,8,1,10,1,10,1,10,1,8,1,8,1,4, - 1,6,1,14,1,8,1,114,187,0,0,0,99,3,0,0, - 0,0,0,0,0,6,0,0,0,17,0,0,0,67,0,0, - 0,115,178,0,0,0,116,0,124,0,100,1,131,2,114,174, - 100,2,124,1,107,6,114,58,116,1,124,1,131,1,125,1, - 124,1,106,2,100,2,131,1,1,0,116,0,124,0,100,3, - 131,2,114,58,124,1,106,3,124,0,106,4,131,1,1,0, - 120,114,124,1,68,0,93,106,125,3,116,0,124,0,124,3, - 131,2,115,64,100,4,106,5,124,0,106,6,124,3,131,2, - 125,4,121,14,116,7,124,2,124,4,131,2,1,0,87,0, - 113,64,4,0,116,8,107,10,114,168,1,0,125,5,1,0, - 122,34,116,9,124,5,131,1,106,10,116,11,131,1,114,150, - 124,5,106,12,124,4,107,2,114,150,119,64,130,0,87,0, - 89,0,100,5,100,5,125,5,126,5,88,0,113,64,88,0, - 113,64,87,0,124,0,83,0,41,6,122,238,70,105,103,117, - 114,101,32,111,117,116,32,119,104,97,116,32,95,95,105,109, - 112,111,114,116,95,95,32,115,104,111,117,108,100,32,114,101, - 116,117,114,110,46,10,10,32,32,32,32,84,104,101,32,105, - 109,112,111,114,116,95,32,112,97,114,97,109,101,116,101,114, - 32,105,115,32,97,32,99,97,108,108,97,98,108,101,32,119, - 104,105,99,104,32,116,97,107,101,115,32,116,104,101,32,110, - 97,109,101,32,111,102,32,109,111,100,117,108,101,32,116,111, - 10,32,32,32,32,105,109,112,111,114,116,46,32,73,116,32, - 105,115,32,114,101,113,117,105,114,101,100,32,116,111,32,100, - 101,99,111,117,112,108,101,32,116,104,101,32,102,117,110,99, - 116,105,111,110,32,102,114,111,109,32,97,115,115,117,109,105, - 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, - 1,42,218,7,95,95,97,108,108,95,95,122,5,123,125,46, - 123,125,78,41,13,114,4,0,0,0,114,130,0,0,0,218, - 6,114,101,109,111,118,101,218,6,101,120,116,101,110,100,114, - 189,0,0,0,114,50,0,0,0,114,1,0,0,0,114,65, - 0,0,0,114,77,0,0,0,114,179,0,0,0,114,71,0, - 0,0,218,15,95,69,82,82,95,77,83,71,95,80,82,69, - 70,73,88,114,15,0,0,0,41,6,114,89,0,0,0,218, - 8,102,114,111,109,108,105,115,116,114,184,0,0,0,218,1, - 120,90,9,102,114,111,109,95,110,97,109,101,90,3,101,120, - 99,114,10,0,0,0,114,10,0,0,0,114,11,0,0,0, - 218,16,95,104,97,110,100,108,101,95,102,114,111,109,108,105, - 115,116,238,3,0,0,115,34,0,0,0,0,10,10,1,8, - 1,8,1,10,1,10,1,12,1,10,1,10,1,14,1,2, - 1,14,1,16,4,14,1,10,1,2,1,24,1,114,195,0, - 0,0,99,1,0,0,0,0,0,0,0,3,0,0,0,6, - 0,0,0,67,0,0,0,115,154,0,0,0,124,0,106,0, - 100,1,131,1,125,1,124,0,106,0,100,2,131,1,125,2, - 124,1,100,3,107,9,114,86,124,2,100,3,107,9,114,80, - 124,1,124,2,106,1,107,3,114,80,116,2,106,3,100,4, - 124,1,155,2,100,5,124,2,106,1,155,2,100,6,157,5, - 116,4,100,7,100,8,144,1,131,2,1,0,124,1,83,0, - 110,64,124,2,100,3,107,9,114,102,124,2,106,1,83,0, - 110,48,116,2,106,3,100,9,116,4,100,7,100,8,144,1, - 131,2,1,0,124,0,100,10,25,0,125,1,100,11,124,0, - 107,7,114,150,124,1,106,5,100,12,131,1,100,13,25,0, - 125,1,124,1,83,0,41,14,122,167,67,97,108,99,117,108, - 97,116,101,32,119,104,97,116,32,95,95,112,97,99,107,97, - 103,101,95,95,32,115,104,111,117,108,100,32,98,101,46,10, - 10,32,32,32,32,95,95,112,97,99,107,97,103,101,95,95, - 32,105,115,32,110,111,116,32,103,117,97,114,97,110,116,101, - 101,100,32,116,111,32,98,101,32,100,101,102,105,110,101,100, - 32,111,114,32,99,111,117,108,100,32,98,101,32,115,101,116, - 32,116,111,32,78,111,110,101,10,32,32,32,32,116,111,32, - 114,101,112,114,101,115,101,110,116,32,116,104,97,116,32,105, - 116,115,32,112,114,111,112,101,114,32,118,97,108,117,101,32, - 105,115,32,117,110,107,110,111,119,110,46,10,10,32,32,32, - 32,114,134,0,0,0,114,95,0,0,0,78,122,32,95,95, - 112,97,99,107,97,103,101,95,95,32,33,61,32,95,95,115, - 112,101,99,95,95,46,112,97,114,101,110,116,32,40,122,4, - 32,33,61,32,250,1,41,114,140,0,0,0,233,3,0,0, - 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, - 97,110,100,32,95,95,112,97,116,104,95,95,114,1,0,0, - 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, - 41,3,218,7,103,108,111,98,97,108,115,114,170,0,0,0, - 114,88,0,0,0,114,10,0,0,0,114,10,0,0,0,114, - 11,0,0,0,218,17,95,99,97,108,99,95,95,95,112,97, - 99,107,97,103,101,95,95,14,4,0,0,115,30,0,0,0, - 0,7,10,1,10,1,8,1,18,1,22,2,12,1,6,1, - 8,1,8,2,6,2,12,1,8,1,8,1,14,1,114,199, - 0,0,0,99,5,0,0,0,0,0,0,0,9,0,0,0, - 5,0,0,0,67,0,0,0,115,170,0,0,0,124,4,100, - 1,107,2,114,18,116,0,124,0,131,1,125,5,110,36,124, - 1,100,2,107,9,114,30,124,1,110,2,105,0,125,6,116, - 1,124,6,131,1,125,7,116,0,124,0,124,7,124,4,131, - 3,125,5,124,3,115,154,124,4,100,1,107,2,114,86,116, - 0,124,0,106,2,100,3,131,1,100,1,25,0,131,1,83, - 0,113,166,124,0,115,96,124,5,83,0,113,166,116,3,124, - 0,131,1,116,3,124,0,106,2,100,3,131,1,100,1,25, - 0,131,1,24,0,125,8,116,4,106,5,124,5,106,6,100, - 2,116,3,124,5,106,6,131,1,124,8,24,0,133,2,25, - 0,25,0,83,0,110,12,116,7,124,5,124,3,116,0,131, - 3,83,0,100,2,83,0,41,4,97,215,1,0,0,73,109, - 112,111,114,116,32,97,32,109,111,100,117,108,101,46,10,10, - 32,32,32,32,84,104,101,32,39,103,108,111,98,97,108,115, - 39,32,97,114,103,117,109,101,110,116,32,105,115,32,117,115, - 101,100,32,116,111,32,105,110,102,101,114,32,119,104,101,114, - 101,32,116,104,101,32,105,109,112,111,114,116,32,105,115,32, - 111,99,99,117,114,114,105,110,103,32,102,114,111,109,10,32, - 32,32,32,116,111,32,104,97,110,100,108,101,32,114,101,108, - 97,116,105,118,101,32,105,109,112,111,114,116,115,46,32,84, - 104,101,32,39,108,111,99,97,108,115,39,32,97,114,103,117, - 109,101,110,116,32,105,115,32,105,103,110,111,114,101,100,46, - 32,84,104,101,10,32,32,32,32,39,102,114,111,109,108,105, - 115,116,39,32,97,114,103,117,109,101,110,116,32,115,112,101, - 99,105,102,105,101,115,32,119,104,97,116,32,115,104,111,117, - 108,100,32,101,120,105,115,116,32,97,115,32,97,116,116,114, - 105,98,117,116,101,115,32,111,110,32,116,104,101,32,109,111, - 100,117,108,101,10,32,32,32,32,98,101,105,110,103,32,105, - 109,112,111,114,116,101,100,32,40,101,46,103,46,32,96,96, - 102,114,111,109,32,109,111,100,117,108,101,32,105,109,112,111, - 114,116,32,60,102,114,111,109,108,105,115,116,62,96,96,41, - 46,32,32,84,104,101,32,39,108,101,118,101,108,39,10,32, - 32,32,32,97,114,103,117,109,101,110,116,32,114,101,112,114, - 101,115,101,110,116,115,32,116,104,101,32,112,97,99,107,97, - 103,101,32,108,111,99,97,116,105,111,110,32,116,111,32,105, - 109,112,111,114,116,32,102,114,111,109,32,105,110,32,97,32, - 114,101,108,97,116,105,118,101,10,32,32,32,32,105,109,112, - 111,114,116,32,40,101,46,103,46,32,96,96,102,114,111,109, - 32,46,46,112,107,103,32,105,109,112,111,114,116,32,109,111, - 100,96,96,32,119,111,117,108,100,32,104,97,118,101,32,97, - 32,39,108,101,118,101,108,39,32,111,102,32,50,41,46,10, - 10,32,32,32,32,114,33,0,0,0,78,114,121,0,0,0, - 41,8,114,187,0,0,0,114,199,0,0,0,218,9,112,97, - 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, - 41,9,114,15,0,0,0,114,198,0,0,0,218,6,108,111, - 99,97,108,115,114,193,0,0,0,114,171,0,0,0,114,89, - 0,0,0,90,8,103,108,111,98,97,108,115,95,114,170,0, - 0,0,90,7,99,117,116,95,111,102,102,114,10,0,0,0, - 114,10,0,0,0,114,11,0,0,0,218,10,95,95,105,109, - 112,111,114,116,95,95,41,4,0,0,115,26,0,0,0,0, - 11,8,1,10,2,16,1,8,1,12,1,4,3,8,1,20, - 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45,105,110,32,109,111,100,117,108,101,32,110,97,109,101,100, + 32,41,4,114,147,0,0,0,114,151,0,0,0,114,70,0, + 0,0,114,146,0,0,0,41,2,114,15,0,0,0,114,82, + 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, + 109,95,110,97,109,101,59,4,0,0,115,8,0,0,0,0, + 1,10,1,8,1,12,1,114,199,0,0,0,99,2,0,0, + 0,0,0,0,0,12,0,0,0,12,0,0,0,67,0,0, + 0,115,244,0,0,0,124,1,97,0,124,0,97,1,116,2, + 116,1,131,1,125,2,120,86,116,1,106,3,106,4,131,0, + 68,0,93,72,92,2,125,3,125,4,116,5,124,4,124,2, + 131,2,114,28,124,3,116,1,106,6,107,6,114,62,116,7, + 125,5,110,18,116,0,106,8,124,3,131,1,114,28,116,9, + 125,5,110,2,113,28,116,10,124,4,124,5,131,2,125,6, + 116,11,124,6,124,4,131,2,1,0,113,28,87,0,116,1, + 106,3,116,12,25,0,125,7,120,54,100,5,68,0,93,46, + 125,8,124,8,116,1,106,3,107,7,114,144,116,13,124,8, + 131,1,125,9,110,10,116,1,106,3,124,8,25,0,125,9, + 116,14,124,7,124,8,124,9,131,3,1,0,113,120,87,0, + 121,12,116,13,100,2,131,1,125,10,87,0,110,24,4,0, + 116,15,107,10,114,206,1,0,1,0,1,0,100,3,125,10, + 89,0,110,2,88,0,116,14,124,7,100,2,124,10,131,3, + 1,0,116,13,100,4,131,1,125,11,116,14,124,7,100,4, + 124,11,131,3,1,0,100,3,83,0,41,6,122,250,83,101, + 116,117,112,32,105,109,112,111,114,116,108,105,98,32,98,121, + 32,105,109,112,111,114,116,105,110,103,32,110,101,101,100,101, + 100,32,98,117,105,108,116,45,105,110,32,109,111,100,117,108, + 101,115,32,97,110,100,32,105,110,106,101,99,116,105,110,103, + 32,116,104,101,109,10,32,32,32,32,105,110,116,111,32,116, + 104,101,32,103,108,111,98,97,108,32,110,97,109,101,115,112, + 97,99,101,46,10,10,32,32,32,32,65,115,32,115,121,115, + 32,105,115,32,110,101,101,100,101,100,32,102,111,114,32,115, + 121,115,46,109,111,100,117,108,101,115,32,97,99,99,101,115, + 115,32,97,110,100,32,95,105,109,112,32,105,115,32,110,101, + 101,100,101,100,32,116,111,32,108,111,97,100,32,98,117,105, + 108,116,45,105,110,10,32,32,32,32,109,111,100,117,108,101, + 115,44,32,116,104,111,115,101,32,116,119,111,32,109,111,100, + 117,108,101,115,32,109,117,115,116,32,98,101,32,101,120,112, + 108,105,99,105,116,108,121,32,112,97,115,115,101,100,32,105, + 110,46,10,10,32,32,32,32,114,138,0,0,0,114,20,0, + 0,0,78,114,55,0,0,0,41,1,122,9,95,119,97,114, + 110,105,110,103,115,41,16,114,46,0,0,0,114,14,0,0, + 0,114,13,0,0,0,114,79,0,0,0,218,5,105,116,101, + 109,115,114,174,0,0,0,114,69,0,0,0,114,147,0,0, + 0,114,75,0,0,0,114,157,0,0,0,114,128,0,0,0, + 114,133,0,0,0,114,1,0,0,0,114,199,0,0,0,114, + 5,0,0,0,114,70,0,0,0,41,12,218,10,115,121,115, + 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, + 101,114,15,0,0,0,114,83,0,0,0,114,93,0,0,0, + 114,82,0,0,0,90,11,115,101,108,102,95,109,111,100,117, + 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, + 95,115,101,116,117,112,66,4,0,0,115,50,0,0,0,0, + 9,4,1,4,3,8,1,20,1,10,1,10,1,6,1,10, + 1,6,2,2,1,10,1,14,3,10,1,10,1,10,1,10, + 2,10,1,16,3,2,1,12,1,14,2,10,1,12,3,8, + 1,114,203,0,0,0,99,2,0,0,0,0,0,0,0,3, + 0,0,0,3,0,0,0,67,0,0,0,115,66,0,0,0, + 116,0,124,0,124,1,131,2,1,0,116,1,106,2,106,3, + 116,4,131,1,1,0,116,1,106,2,106,3,116,5,131,1, + 1,0,100,1,100,2,108,6,125,2,124,2,97,7,124,2, + 106,8,116,1,106,9,116,10,25,0,131,1,1,0,100,2, + 83,0,41,3,122,50,73,110,115,116,97,108,108,32,105,109, + 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, + 32,105,109,112,111,114,116,46,114,19,0,0,0,78,41,11, + 114,203,0,0,0,114,14,0,0,0,114,171,0,0,0,114, + 109,0,0,0,114,147,0,0,0,114,157,0,0,0,218,26, + 95,102,114,111,122,101,110,95,105,109,112,111,114,116,108,105, + 98,95,101,120,116,101,114,110,97,108,114,115,0,0,0,218, + 8,95,105,110,115,116,97,108,108,114,79,0,0,0,114,1, + 0,0,0,41,3,114,201,0,0,0,114,202,0,0,0,114, + 204,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11, + 0,0,0,114,205,0,0,0,113,4,0,0,115,12,0,0, + 0,0,2,10,2,12,1,12,3,8,1,4,1,114,205,0, + 0,0,41,2,78,78,41,1,78,41,2,78,114,19,0,0, + 0,41,50,114,3,0,0,0,114,115,0,0,0,114,12,0, + 0,0,114,16,0,0,0,114,51,0,0,0,114,29,0,0, + 0,114,36,0,0,0,114,17,0,0,0,114,18,0,0,0, + 114,41,0,0,0,114,42,0,0,0,114,45,0,0,0,114, + 56,0,0,0,114,58,0,0,0,114,68,0,0,0,114,74, + 0,0,0,114,77,0,0,0,114,84,0,0,0,114,95,0, + 0,0,114,96,0,0,0,114,102,0,0,0,114,78,0,0, 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, - 0,0,0,114,187,0,0,0,114,195,0,0,0,114,199,0, - 0,0,114,202,0,0,0,114,203,0,0,0,114,207,0,0, - 0,114,209,0,0,0,114,10,0,0,0,114,10,0,0,0, + 76,65,84,69,114,128,0,0,0,114,133,0,0,0,114,141, + 0,0,0,114,91,0,0,0,114,80,0,0,0,114,145,0, + 0,0,114,146,0,0,0,114,81,0,0,0,114,147,0,0, + 0,114,157,0,0,0,114,162,0,0,0,114,168,0,0,0, + 114,170,0,0,0,114,173,0,0,0,114,178,0,0,0,114, + 188,0,0,0,114,179,0,0,0,114,181,0,0,0,114,182, + 0,0,0,114,183,0,0,0,114,191,0,0,0,114,195,0, + 0,0,114,198,0,0,0,114,199,0,0,0,114,203,0,0, + 0,114,205,0,0,0,114,10,0,0,0,114,10,0,0,0, 114,10,0,0,0,114,11,0,0,0,218,8,60,109,111,100, - 117,108,101,62,8,0,0,0,115,96,0,0,0,4,17,4, - 2,8,8,8,4,14,20,4,2,4,3,16,4,14,68,14, - 21,14,19,8,19,8,19,8,11,14,8,8,11,8,12,8, - 16,8,36,14,27,14,101,16,26,6,3,10,45,14,60,8, - 18,8,17,8,25,8,29,8,23,8,16,14,73,14,77,14, - 13,8,9,8,9,10,47,8,20,4,1,8,2,8,27,8, - 6,10,24,8,32,8,27,18,35,8,7,8,47, + 117,108,101,62,8,0,0,0,115,94,0,0,0,4,17,4, + 2,8,8,8,7,4,2,4,3,16,4,14,68,14,21,14, + 19,8,19,8,19,8,11,14,8,8,11,8,12,8,16,8, + 36,14,27,14,101,16,26,6,3,10,45,14,60,8,18,8, + 17,8,25,8,29,8,23,8,16,14,73,14,77,14,13,8, + 9,8,9,10,47,8,20,4,1,8,2,8,27,8,6,10, + 24,8,32,8,27,18,35,8,7,8,47, }; -- cgit v1.2.1 From 87da9f01c3bc74aebedc52a91aa908ddae83a579 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Tue, 6 Sep 2016 16:33:52 -0700 Subject: os.urandom() now blocks on Linux Issue #27776: The os.urandom() function does now block on Linux 3.17 and newer until the system urandom entropy pool is initialized to increase the security. This change is part of the PEP 524. --- Python/random.c | 77 ++++++++++++++++++++++++++++++++++----------------------- 1 file changed, 46 insertions(+), 31 deletions(-) (limited to 'Python') diff --git a/Python/random.c b/Python/random.c index 6fdce64bca..ea506eeeb2 100644 --- a/Python/random.c +++ b/Python/random.c @@ -77,7 +77,7 @@ win32_urandom(unsigned char *buffer, Py_ssize_t size, int raise) } /* Issue #25003: Don't use getentropy() on Solaris (available since - Solaris 11.3), it is blocking whereas os.urandom() should not block. */ + * Solaris 11.3), it is blocking whereas os.urandom() should not block. */ #elif defined(HAVE_GETENTROPY) && !defined(sun) #define PY_GETENTROPY 1 @@ -121,24 +121,20 @@ py_getentropy(char *buffer, Py_ssize_t size, int raise) /* Call getrandom() - Return 1 on success - - Return 0 if getrandom() syscall is not available (fails with ENOSYS). + - Return 0 if getrandom() syscall is not available (fails with ENOSYS) + or if getrandom(GRND_NONBLOCK) fails with EAGAIN (blocking=0 and system + urandom not initialized yet) and raise=0. - Raise an exception (if raise is non-zero) and return -1 on error: getrandom() failed with EINTR and the Python signal handler raised an exception, or getrandom() failed with a different error. */ static int -py_getrandom(void *buffer, Py_ssize_t size, int raise) +py_getrandom(void *buffer, Py_ssize_t size, int blocking, int raise) { - /* Is getrandom() supported by the running kernel? - Need Linux kernel 3.17 or newer, or Solaris 11.3 or newer */ + /* Is getrandom() supported by the running kernel? Set to 0 if getrandom() + fails with ENOSYS. Need Linux kernel 3.17 or newer, or Solaris 11.3 + or newer */ static int getrandom_works = 1; - - /* getrandom() on Linux will block if called before the kernel has - initialized the urandom entropy pool. This will cause Python - to hang on startup if called very early in the boot process - - see https://bugs.python.org/issue26839. To avoid this, use the - GRND_NONBLOCK flag. */ - const int flags = GRND_NONBLOCK; - + int flags; char *dest; long n; @@ -146,6 +142,7 @@ py_getrandom(void *buffer, Py_ssize_t size, int raise) return 0; } + flags = blocking ? 0 : GRND_NONBLOCK; dest = buffer; while (0 < size) { #ifdef sun @@ -185,15 +182,12 @@ py_getrandom(void *buffer, Py_ssize_t size, int raise) getrandom_works = 0; return 0; } - if (errno == EAGAIN) { - /* If we failed with EAGAIN, the entropy pool was - uninitialized. In this case, we return failure to fall - back to reading from /dev/urandom. - - Note: In this case the data read will not be random so - should not be used for cryptographic purposes. Retaining - the existing semantics for practical purposes. */ - getrandom_works = 0; + + /* getrandom(GRND_NONBLOCK) fails with EAGAIN if the system urandom + is not initialiazed yet. For _PyRandom_Init(), we ignore their + error and fall back on reading /dev/urandom which never blocks, + even if the system urandom is not initialized yet. */ + if (errno == EAGAIN && !raise && !blocking) { return 0; } @@ -228,13 +222,13 @@ static struct { } urandom_cache = { -1 }; -/* Read 'size' random bytes from getrandom(). Fall back on reading from +/* Read 'size' random bytes from py_getrandom(). Fall back on reading from /dev/urandom if getrandom() is not available. Return 0 on success. Raise an exception (if raise is non-zero) and return -1 on error. */ static int -dev_urandom(char *buffer, Py_ssize_t size, int raise) +dev_urandom(char *buffer, Py_ssize_t size, int blocking, int raise) { int fd; Py_ssize_t n; @@ -245,7 +239,7 @@ dev_urandom(char *buffer, Py_ssize_t size, int raise) assert(size > 0); #ifdef PY_GETRANDOM - res = py_getrandom(buffer, size, raise); + res = py_getrandom(buffer, size, blocking, raise); if (res < 0) { return -1; } @@ -381,7 +375,7 @@ lcg_urandom(unsigned int x0, unsigned char *buffer, size_t size) syscall) - Don't release the GIL to call syscalls. */ static int -pyurandom(void *buffer, Py_ssize_t size, int raise) +pyurandom(void *buffer, Py_ssize_t size, int blocking, int raise) { if (size < 0) { if (raise) { @@ -400,7 +394,7 @@ pyurandom(void *buffer, Py_ssize_t size, int raise) #elif defined(PY_GETENTROPY) return py_getentropy(buffer, size, raise); #else - return dev_urandom(buffer, size, raise); + return dev_urandom(buffer, size, blocking, raise); #endif } @@ -408,11 +402,29 @@ pyurandom(void *buffer, Py_ssize_t size, int raise) number generator (RNG). It is suitable for most cryptographic purposes except long living private keys for asymmetric encryption. - Return 0 on success, raise an exception and return -1 on error. */ + On Linux 3.17 and newer, the getrandom() syscall is used in blocking mode: + block until the system urandom entropy pool is initialized (128 bits are + collected by the kernel). + + Return 0 on success. Raise an exception and return -1 on error. */ int _PyOS_URandom(void *buffer, Py_ssize_t size) { - return pyurandom(buffer, size, 1); + return pyurandom(buffer, size, 1, 1); +} + +/* Fill buffer with size pseudo-random bytes from the operating system random + number generator (RNG). It is not suitable for cryptographic purpose. + + On Linux 3.17 and newer (when getrandom() syscall is used), if the system + urandom is not initialized yet, the function returns "weak" entropy read + from /dev/urandom. + + Return 0 on success. Raise an exception and return -1 on error. */ +int +_PyOS_URandomNonblock(void *buffer, Py_ssize_t size) +{ + return pyurandom(buffer, size, 0, 1); } void @@ -456,8 +468,11 @@ _PyRandom_Init(void) int res; /* _PyRandom_Init() is called very early in the Python initialization - and so exceptions cannot be used (use raise=0). */ - res = pyurandom(secret, secret_size, 0); + and so exceptions cannot be used (use raise=0). + + _PyRandom_Init() must not block Python initialization: call + pyurandom() is non-blocking mode (blocking=0): see the PEP 524. */ + res = pyurandom(secret, secret_size, 0, 0); if (res < 0) { Py_FatalError("failed to get random numbers to initialize Python"); } -- cgit v1.2.1 From 58a260158ae807ba57a7f83d13543907c13bc415 Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Wed, 7 Sep 2016 09:26:18 -0700 Subject: replace PY_SIZE_MAX with SIZE_MAX --- Python/asdl.c | 8 ++++---- Python/ast.c | 2 +- Python/compile.c | 4 ++-- 3 files changed, 7 insertions(+), 7 deletions(-) (limited to 'Python') diff --git a/Python/asdl.c b/Python/asdl.c index df387b2119..c211078118 100644 --- a/Python/asdl.c +++ b/Python/asdl.c @@ -9,14 +9,14 @@ _Py_asdl_seq_new(Py_ssize_t size, PyArena *arena) /* check size is sane */ if (size < 0 || - (size && (((size_t)size - 1) > (PY_SIZE_MAX / sizeof(void *))))) { + (size && (((size_t)size - 1) > (SIZE_MAX / sizeof(void *))))) { PyErr_NoMemory(); return NULL; } n = (size ? (sizeof(void *) * (size - 1)) : 0); /* check if size can be added safely */ - if (n > PY_SIZE_MAX - sizeof(asdl_seq)) { + if (n > SIZE_MAX - sizeof(asdl_seq)) { PyErr_NoMemory(); return NULL; } @@ -40,14 +40,14 @@ _Py_asdl_int_seq_new(Py_ssize_t size, PyArena *arena) /* check size is sane */ if (size < 0 || - (size && (((size_t)size - 1) > (PY_SIZE_MAX / sizeof(void *))))) { + (size && (((size_t)size - 1) > (SIZE_MAX / sizeof(void *))))) { PyErr_NoMemory(); return NULL; } n = (size ? (sizeof(void *) * (size - 1)) : 0); /* check if size can be added safely */ - if (n > PY_SIZE_MAX - sizeof(asdl_seq)) { + if (n > SIZE_MAX - sizeof(asdl_seq)) { PyErr_NoMemory(); return NULL; } diff --git a/Python/ast.c b/Python/ast.c index 0f9c19333d..c5f363b659 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -3985,7 +3985,7 @@ decode_unicode_with_escapes(struct compiling *c, const char *s, size_t len) const char *end; /* check for integer overflow */ - if (len > PY_SIZE_MAX / 6) + if (len > SIZE_MAX / 6) return NULL; /* "ä" (2 bytes) may become "\U000000E4" (10 bytes), or 1:5 "\ä" (3 bytes) may become "\u005c\U000000E4" (16 bytes), or ~1:6 */ diff --git a/Python/compile.c b/Python/compile.c index 6fe5d5fa82..45e4262b40 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -804,7 +804,7 @@ compiler_next_instr(struct compiler *c, basicblock *b) oldsize = b->b_ialloc * sizeof(struct instr); newsize = oldsize << 1; - if (oldsize > (PY_SIZE_MAX >> 1)) { + if (oldsize > (SIZE_MAX >> 1)) { PyErr_NoMemory(); return -1; } @@ -4520,7 +4520,7 @@ assemble_init(struct assembler *a, int nblocks, int firstlineno) a->a_lnotab = PyBytes_FromStringAndSize(NULL, DEFAULT_LNOTAB_SIZE); if (!a->a_lnotab) return 0; - if ((size_t)nblocks > PY_SIZE_MAX / sizeof(basicblock *)) { + if ((size_t)nblocks > SIZE_MAX / sizeof(basicblock *)) { PyErr_NoMemory(); return 0; } -- cgit v1.2.1 From 7cbba2deb3fc49bd66e11b34f8e210371bac5913 Mon Sep 17 00:00:00 2001 From: Brett Cannon Date: Wed, 7 Sep 2016 11:16:41 -0700 Subject: Add the co_extra field and accompanying APIs to code objects. This completes PEP 523. --- Python/ceval.c | 14 ++++++++++++++ Python/pystate.c | 1 + 2 files changed, 15 insertions(+) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index bf19a5b2b4..9109ea59f2 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -5608,3 +5608,17 @@ _Py_GetDXProfile(PyObject *self, PyObject *args) } #endif + +Py_ssize_t +_PyEval_RequestCodeExtraIndex(freefunc free) +{ + PyThreadState *tstate = PyThreadState_Get(); + Py_ssize_t new_index; + + if (tstate->co_extra_user_count == MAX_CO_EXTRA_USERS - 1) { + return -1; + } + new_index = tstate->co_extra_user_count++; + tstate->co_extra_freefuncs[new_index] = free; + return new_index; +} diff --git a/Python/pystate.c b/Python/pystate.c index 2ab5d5d611..959354d119 100644 --- a/Python/pystate.c +++ b/Python/pystate.c @@ -227,6 +227,7 @@ new_threadstate(PyInterpreterState *interp, int init) tstate->coroutine_wrapper = NULL; tstate->in_coroutine_wrapper = 0; + tstate->co_extra_user_count = 0; if (init) _PyThreadState_Init(tstate); -- cgit v1.2.1 From 54dc09e399e40109e5b61f0ed2e94558cc07aaa8 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Wed, 7 Sep 2016 16:56:15 -0700 Subject: Issue #15767: Use ModuleNotFoundError. --- Python/errors.c | 28 ++- Python/import.c | 3 +- Python/importlib.h | 501 ++++++++++++++++++++++++++--------------------------- 3 files changed, 274 insertions(+), 258 deletions(-) (limited to 'Python') diff --git a/Python/errors.c b/Python/errors.c index e6285e8b3b..13ae6b4561 100644 --- a/Python/errors.c +++ b/Python/errors.c @@ -697,27 +697,37 @@ PyObject *PyErr_SetFromWindowsErrWithUnicodeFilename( #endif /* MS_WINDOWS */ PyObject * -PyErr_SetImportError(PyObject *msg, PyObject *name, PyObject *path) +PyErr_SetImportErrorSubclass(PyObject *exception, PyObject *msg, + PyObject *name, PyObject *path) { + int issubclass; PyObject *kwargs, *error; - if (msg == NULL) { + issubclass = PyObject_IsSubclass(exception, PyExc_ImportError); + if (issubclass < 0) { + return NULL; + } + else if (!issubclass) { + PyErr_SetString(PyExc_TypeError, "expected a subclass of ImportError"); return NULL; } - kwargs = PyDict_New(); - if (kwargs == NULL) { + if (msg == NULL) { + PyErr_SetString(PyExc_TypeError, "expected a message argument"); return NULL; } if (name == NULL) { name = Py_None; } - if (path == NULL) { path = Py_None; } + kwargs = PyDict_New(); + if (kwargs == NULL) { + return NULL; + } if (PyDict_SetItemString(kwargs, "name", name) < 0) { goto done; } @@ -725,7 +735,7 @@ PyErr_SetImportError(PyObject *msg, PyObject *name, PyObject *path) goto done; } - error = _PyObject_FastCallDict(PyExc_ImportError, &msg, 1, kwargs); + error = _PyObject_FastCallDict(exception, &msg, 1, kwargs); if (error != NULL) { PyErr_SetObject((PyObject *)Py_TYPE(error), error); Py_DECREF(error); @@ -736,6 +746,12 @@ done: return NULL; } +PyObject * +PyErr_SetImportError(PyObject *msg, PyObject *name, PyObject *path) +{ + return PyErr_SetImportErrorSubclass(PyExc_ImportError, msg, name, path); +} + void _PyErr_BadInternalCall(const char *filename, int lineno) { diff --git a/Python/import.c b/Python/import.c index 3bac5b8e41..c780fe2976 100644 --- a/Python/import.c +++ b/Python/import.c @@ -1539,7 +1539,8 @@ PyImport_ImportModuleLevelObject(PyObject *name, PyObject *globals, PyObject *msg = PyUnicode_FromFormat("import of %R halted; " "None in sys.modules", abs_name); if (msg != NULL) { - PyErr_SetImportError(msg, abs_name, NULL); + PyErr_SetImportErrorSubclass(PyExc_ModuleNotFoundError, msg, + abs_name, NULL); Py_DECREF(msg); } mod = NULL; diff --git a/Python/importlib.h b/Python/importlib.h index 50937476c7..4ba754fd15 100644 --- a/Python/importlib.h +++ b/Python/importlib.h @@ -1516,7 +1516,8 @@ const unsigned char _Py_M__importlib[] = { 137,0,0,0,41,12,114,118,0,0,0,114,14,0,0,0, 114,79,0,0,0,114,58,0,0,0,114,127,0,0,0,114, 90,0,0,0,218,8,95,69,82,82,95,77,83,71,114,38, - 0,0,0,114,70,0,0,0,114,173,0,0,0,114,146,0, + 0,0,0,218,19,77,111,100,117,108,101,78,111,116,70,111, + 117,110,100,69,114,114,111,114,114,173,0,0,0,114,146,0, 0,0,114,5,0,0,0,41,8,114,15,0,0,0,218,7, 105,109,112,111,114,116,95,114,149,0,0,0,114,119,0,0, 0,90,13,112,97,114,101,110,116,95,109,111,100,117,108,101, @@ -1526,7 +1527,7 @@ const unsigned char _Py_M__importlib[] = { 110,108,111,99,107,101,100,164,3,0,0,115,42,0,0,0, 0,1,4,1,14,1,4,1,10,1,10,2,10,1,10,1, 10,1,2,1,10,1,14,1,16,1,22,1,10,1,8,1, - 22,2,8,1,4,2,10,1,22,1,114,181,0,0,0,99, + 22,2,8,1,4,2,10,1,22,1,114,182,0,0,0,99, 2,0,0,0,0,0,0,0,2,0,0,0,10,0,0,0, 67,0,0,0,115,30,0,0,0,116,0,124,0,131,1,143, 12,1,0,116,1,124,0,124,1,131,2,83,0,81,0,82, @@ -1534,11 +1535,11 @@ const unsigned char _Py_M__importlib[] = { 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, - 46,78,41,2,114,42,0,0,0,114,181,0,0,0,41,2, - 114,15,0,0,0,114,180,0,0,0,114,10,0,0,0,114, + 46,78,41,2,114,42,0,0,0,114,182,0,0,0,41,2, + 114,15,0,0,0,114,181,0,0,0,114,10,0,0,0,114, 10,0,0,0,114,11,0,0,0,218,14,95,102,105,110,100, 95,97,110,100,95,108,111,97,100,191,3,0,0,115,4,0, - 0,0,0,2,10,1,114,182,0,0,0,114,19,0,0,0, + 0,0,0,2,10,1,114,183,0,0,0,114,19,0,0,0, 99,3,0,0,0,0,0,0,0,5,0,0,0,4,0,0, 0,67,0,0,0,115,122,0,0,0,116,0,124,0,124,1, 124,2,131,3,1,0,124,2,100,1,107,4,114,32,116,1, @@ -1573,259 +1574,257 @@ const unsigned char _Py_M__importlib[] = { 110,32,115,121,115,46,109,111,100,117,108,101,115,114,15,0, 0,0,41,12,114,178,0,0,0,114,168,0,0,0,114,46, 0,0,0,114,142,0,0,0,114,14,0,0,0,114,79,0, - 0,0,114,182,0,0,0,218,11,95,103,99,100,95,105,109, - 112,111,114,116,114,47,0,0,0,114,38,0,0,0,114,70, + 0,0,114,183,0,0,0,218,11,95,103,99,100,95,105,109, + 112,111,114,116,114,47,0,0,0,114,38,0,0,0,114,180, 0,0,0,114,56,0,0,0,41,5,114,15,0,0,0,114, 166,0,0,0,114,167,0,0,0,114,83,0,0,0,114,67, 0,0,0,114,10,0,0,0,114,10,0,0,0,114,11,0, - 0,0,114,183,0,0,0,197,3,0,0,115,28,0,0,0, + 0,0,114,184,0,0,0,197,3,0,0,115,28,0,0,0, 0,9,12,1,8,1,12,1,8,1,10,1,10,1,10,1, - 8,1,8,1,4,1,6,1,14,1,8,1,114,183,0,0, + 8,1,8,1,4,1,6,1,14,1,8,1,114,184,0,0, 0,99,3,0,0,0,0,0,0,0,6,0,0,0,17,0, - 0,0,67,0,0,0,115,178,0,0,0,116,0,124,0,100, - 1,131,2,114,174,100,2,124,1,107,6,114,58,116,1,124, + 0,0,67,0,0,0,115,164,0,0,0,116,0,124,0,100, + 1,131,2,114,160,100,2,124,1,107,6,114,58,116,1,124, 1,131,1,125,1,124,1,106,2,100,2,131,1,1,0,116, 0,124,0,100,3,131,2,114,58,124,1,106,3,124,0,106, - 4,131,1,1,0,120,114,124,1,68,0,93,106,125,3,116, + 4,131,1,1,0,120,100,124,1,68,0,93,92,125,3,116, 0,124,0,124,3,131,2,115,64,100,4,106,5,124,0,106, 6,124,3,131,2,125,4,121,14,116,7,124,2,124,4,131, - 2,1,0,87,0,113,64,4,0,116,8,107,10,114,168,1, - 0,125,5,1,0,122,34,116,9,124,5,131,1,106,10,116, - 11,131,1,114,150,124,5,106,12,124,4,107,2,114,150,119, - 64,130,0,87,0,89,0,100,5,100,5,125,5,126,5,88, - 0,113,64,88,0,113,64,87,0,124,0,83,0,41,6,122, - 238,70,105,103,117,114,101,32,111,117,116,32,119,104,97,116, - 32,95,95,105,109,112,111,114,116,95,95,32,115,104,111,117, - 108,100,32,114,101,116,117,114,110,46,10,10,32,32,32,32, - 84,104,101,32,105,109,112,111,114,116,95,32,112,97,114,97, - 109,101,116,101,114,32,105,115,32,97,32,99,97,108,108,97, - 98,108,101,32,119,104,105,99,104,32,116,97,107,101,115,32, - 116,104,101,32,110,97,109,101,32,111,102,32,109,111,100,117, - 108,101,32,116,111,10,32,32,32,32,105,109,112,111,114,116, - 46,32,73,116,32,105,115,32,114,101,113,117,105,114,101,100, - 32,116,111,32,100,101,99,111,117,112,108,101,32,116,104,101, - 32,102,117,110,99,116,105,111,110,32,102,114,111,109,32,97, - 115,115,117,109,105,110,103,32,105,109,112,111,114,116,108,105, - 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, - 127,0,0,0,250,1,42,218,7,95,95,97,108,108,95,95, - 122,5,123,125,46,123,125,78,41,13,114,4,0,0,0,114, - 126,0,0,0,218,6,114,101,109,111,118,101,218,6,101,120, - 116,101,110,100,114,185,0,0,0,114,38,0,0,0,114,1, - 0,0,0,114,58,0,0,0,114,70,0,0,0,114,175,0, - 0,0,114,64,0,0,0,218,15,95,69,82,82,95,77,83, - 71,95,80,82,69,70,73,88,114,15,0,0,0,41,6,114, - 83,0,0,0,218,8,102,114,111,109,108,105,115,116,114,180, - 0,0,0,218,1,120,90,9,102,114,111,109,95,110,97,109, - 101,90,3,101,120,99,114,10,0,0,0,114,10,0,0,0, - 114,11,0,0,0,218,16,95,104,97,110,100,108,101,95,102, - 114,111,109,108,105,115,116,221,3,0,0,115,34,0,0,0, - 0,10,10,1,8,1,8,1,10,1,10,1,12,1,10,1, - 10,1,14,1,2,1,14,1,16,4,14,1,10,1,2,1, - 24,1,114,191,0,0,0,99,1,0,0,0,0,0,0,0, - 3,0,0,0,6,0,0,0,67,0,0,0,115,154,0,0, - 0,124,0,106,0,100,1,131,1,125,1,124,0,106,0,100, - 2,131,1,125,2,124,1,100,3,107,9,114,86,124,2,100, - 3,107,9,114,80,124,1,124,2,106,1,107,3,114,80,116, - 2,106,3,100,4,124,1,155,2,100,5,124,2,106,1,155, - 2,100,6,157,5,116,4,100,7,100,8,144,1,131,2,1, - 0,124,1,83,0,110,64,124,2,100,3,107,9,114,102,124, - 2,106,1,83,0,110,48,116,2,106,3,100,9,116,4,100, - 7,100,8,144,1,131,2,1,0,124,0,100,10,25,0,125, - 1,100,11,124,0,107,7,114,150,124,1,106,5,100,12,131, - 1,100,13,25,0,125,1,124,1,83,0,41,14,122,167,67, - 97,108,99,117,108,97,116,101,32,119,104,97,116,32,95,95, - 112,97,99,107,97,103,101,95,95,32,115,104,111,117,108,100, - 32,98,101,46,10,10,32,32,32,32,95,95,112,97,99,107, - 97,103,101,95,95,32,105,115,32,110,111,116,32,103,117,97, - 114,97,110,116,101,101,100,32,116,111,32,98,101,32,100,101, - 102,105,110,101,100,32,111,114,32,99,111,117,108,100,32,98, - 101,32,115,101,116,32,116,111,32,78,111,110,101,10,32,32, - 32,32,116,111,32,114,101,112,114,101,115,101,110,116,32,116, - 104,97,116,32,105,116,115,32,112,114,111,112,101,114,32,118, - 97,108,117,101,32,105,115,32,117,110,107,110,111,119,110,46, - 10,10,32,32,32,32,114,130,0,0,0,114,89,0,0,0, - 78,122,32,95,95,112,97,99,107,97,103,101,95,95,32,33, - 61,32,95,95,115,112,101,99,95,95,46,112,97,114,101,110, - 116,32,40,122,4,32,33,61,32,250,1,41,114,136,0,0, - 0,233,3,0,0,0,122,89,99,97,110,39,116,32,114,101, - 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, - 95,114,1,0,0,0,114,127,0,0,0,114,117,0,0,0, - 114,19,0,0,0,41,6,114,30,0,0,0,114,119,0,0, - 0,114,138,0,0,0,114,139,0,0,0,114,172,0,0,0, - 114,118,0,0,0,41,3,218,7,103,108,111,98,97,108,115, - 114,166,0,0,0,114,82,0,0,0,114,10,0,0,0,114, - 10,0,0,0,114,11,0,0,0,218,17,95,99,97,108,99, - 95,95,95,112,97,99,107,97,103,101,95,95,253,3,0,0, - 115,30,0,0,0,0,7,10,1,10,1,8,1,18,1,22, - 2,12,1,6,1,8,1,8,2,6,2,12,1,8,1,8, - 1,14,1,114,195,0,0,0,99,5,0,0,0,0,0,0, - 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114,111,109,10,32,32,32,32,116,111,32,104,97,110,100,108, - 101,32,114,101,108,97,116,105,118,101,32,105,109,112,111,114, - 116,115,46,32,84,104,101,32,39,108,111,99,97,108,115,39, - 32,97,114,103,117,109,101,110,116,32,105,115,32,105,103,110, - 111,114,101,100,46,32,84,104,101,10,32,32,32,32,39,102, - 114,111,109,108,105,115,116,39,32,97,114,103,117,109,101,110, - 116,32,115,112,101,99,105,102,105,101,115,32,119,104,97,116, - 32,115,104,111,117,108,100,32,101,120,105,115,116,32,97,115, - 32,97,116,116,114,105,98,117,116,101,115,32,111,110,32,116, - 104,101,32,109,111,100,117,108,101,10,32,32,32,32,98,101, - 105,110,103,32,105,109,112,111,114,116,101,100,32,40,101,46, - 103,46,32,96,96,102,114,111,109,32,109,111,100,117,108,101, - 32,105,109,112,111,114,116,32,60,102,114,111,109,108,105,115, - 116,62,96,96,41,46,32,32,84,104,101,32,39,108,101,118, - 101,108,39,10,32,32,32,32,97,114,103,117,109,101,110,116, - 32,114,101,112,114,101,115,101,110,116,115,32,116,104,101,32, - 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0,0,78,41,11,114,203,0,0,0,114,14,0,0,0,114, + 171,0,0,0,114,109,0,0,0,114,147,0,0,0,114,157, + 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, + 115,0,0,0,218,8,95,105,110,115,116,97,108,108,114,79, + 0,0,0,114,1,0,0,0,41,3,114,201,0,0,0,114, + 202,0,0,0,114,204,0,0,0,114,10,0,0,0,114,10, + 0,0,0,114,11,0,0,0,114,205,0,0,0,113,4,0, + 0,115,12,0,0,0,0,2,10,2,12,1,12,3,8,1, + 4,1,114,205,0,0,0,41,2,78,78,41,1,78,41,2, + 78,114,19,0,0,0,41,50,114,3,0,0,0,114,115,0, + 0,0,114,12,0,0,0,114,16,0,0,0,114,51,0,0, + 0,114,29,0,0,0,114,36,0,0,0,114,17,0,0,0, + 114,18,0,0,0,114,41,0,0,0,114,42,0,0,0,114, + 45,0,0,0,114,56,0,0,0,114,58,0,0,0,114,68, + 0,0,0,114,74,0,0,0,114,77,0,0,0,114,84,0, + 0,0,114,95,0,0,0,114,96,0,0,0,114,102,0,0, + 0,114,78,0,0,0,218,6,111,98,106,101,99,116,90,9, + 95,80,79,80,85,76,65,84,69,114,128,0,0,0,114,133, + 0,0,0,114,141,0,0,0,114,91,0,0,0,114,80,0, + 0,0,114,145,0,0,0,114,146,0,0,0,114,81,0,0, + 0,114,147,0,0,0,114,157,0,0,0,114,162,0,0,0, + 114,168,0,0,0,114,170,0,0,0,114,173,0,0,0,114, + 178,0,0,0,90,15,95,69,82,82,95,77,83,71,95,80, + 82,69,70,73,88,114,179,0,0,0,114,182,0,0,0,114, + 183,0,0,0,114,184,0,0,0,114,191,0,0,0,114,195, + 0,0,0,114,198,0,0,0,114,199,0,0,0,114,203,0, + 0,0,114,205,0,0,0,114,10,0,0,0,114,10,0,0, + 0,114,10,0,0,0,114,11,0,0,0,218,8,60,109,111, + 100,117,108,101,62,8,0,0,0,115,94,0,0,0,4,17, + 4,2,8,8,8,7,4,2,4,3,16,4,14,68,14,21, + 14,19,8,19,8,19,8,11,14,8,8,11,8,12,8,16, + 8,36,14,27,14,101,16,26,6,3,10,45,14,60,8,18, + 8,17,8,25,8,29,8,23,8,16,14,73,14,77,14,13, + 8,9,8,9,10,47,8,20,4,1,8,2,8,27,8,6, + 10,25,8,31,8,27,18,35,8,7,8,47, }; -- cgit v1.2.1 From ff13bdffd9670a5c815804cf39bb4db2b168b943 Mon Sep 17 00:00:00 2001 From: Brett Cannon Date: Wed, 7 Sep 2016 17:00:43 -0700 Subject: Issue #27911: Remove some unnecessary error checks in import.c. Thanks to Xiang Zhang for the patch. --- Python/import.c | 8 ++------ 1 file changed, 2 insertions(+), 6 deletions(-) (limited to 'Python') diff --git a/Python/import.c b/Python/import.c index c780fe2976..17188c275a 100644 --- a/Python/import.c +++ b/Python/import.c @@ -1942,19 +1942,15 @@ exec_builtin_or_dynamic(PyObject *mod) { def = PyModule_GetDef(mod); if (def == NULL) { - if (PyErr_Occurred()) { - return -1; - } return 0; } + state = PyModule_GetState(mod); - if (PyErr_Occurred()) { - return -1; - } if (state) { /* Already initialized; skip reload */ return 0; } + return PyModule_ExecDef(mod, def); } -- cgit v1.2.1 From 2c3db86a33ade21fbe9dadb182f4513f04aee19f Mon Sep 17 00:00:00 2001 From: Brett Cannon Date: Wed, 7 Sep 2016 18:39:18 -0700 Subject: Issue #26667: Add path-like object support to importlib.util. --- Python/importlib_external.h | 4332 ++++++++++++++++++++++--------------------- 1 file changed, 2168 insertions(+), 2164 deletions(-) (limited to 'Python') diff --git a/Python/importlib_external.h b/Python/importlib_external.h index a79012f85d..ce51981fcd 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -247,2189 +247,2193 @@ const unsigned char _Py_M__importlib_external[] = { 101,95,95,122,4,111,112,116,45,122,3,46,112,121,122,4, 46,112,121,99,78,41,1,218,12,111,112,116,105,109,105,122, 97,116,105,111,110,99,2,0,0,0,1,0,0,0,11,0, - 0,0,6,0,0,0,67,0,0,0,115,234,0,0,0,124, + 0,0,6,0,0,0,67,0,0,0,115,244,0,0,0,124, 1,100,1,107,9,114,52,116,0,106,1,100,2,116,2,131, 2,1,0,124,2,100,1,107,9,114,40,100,3,125,3,116, 3,124,3,131,1,130,1,124,1,114,48,100,4,110,2,100, - 5,125,2,116,4,124,0,131,1,92,2,125,4,125,5,124, - 5,106,5,100,6,131,1,92,3,125,6,125,7,125,8,116, - 6,106,7,106,8,125,9,124,9,100,1,107,8,114,104,116, - 9,100,7,131,1,130,1,100,4,106,10,124,6,114,116,124, - 6,110,2,124,8,124,7,124,9,103,3,131,1,125,10,124, - 2,100,1,107,8,114,162,116,6,106,11,106,12,100,8,107, - 2,114,154,100,4,125,2,110,8,116,6,106,11,106,12,125, - 2,116,13,124,2,131,1,125,2,124,2,100,4,107,3,114, - 214,124,2,106,14,131,0,115,200,116,15,100,9,106,16,124, - 2,131,1,131,1,130,1,100,10,106,16,124,10,116,17,124, - 2,131,3,125,10,116,18,124,4,116,19,124,10,116,20,100, - 8,25,0,23,0,131,3,83,0,41,11,97,254,2,0,0, - 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, - 115,101,116,32,116,111,32,78,111,110,101,114,32,0,0,0, - 114,31,0,0,0,218,1,46,122,36,115,121,115,46,105,109, + 5,125,2,116,4,106,5,124,0,131,1,125,0,116,6,124, + 0,131,1,92,2,125,4,125,5,124,5,106,7,100,6,131, + 1,92,3,125,6,125,7,125,8,116,8,106,9,106,10,125, + 9,124,9,100,1,107,8,114,114,116,11,100,7,131,1,130, + 1,100,4,106,12,124,6,114,126,124,6,110,2,124,8,124, + 7,124,9,103,3,131,1,125,10,124,2,100,1,107,8,114, + 172,116,8,106,13,106,14,100,8,107,2,114,164,100,4,125, + 2,110,8,116,8,106,13,106,14,125,2,116,15,124,2,131, + 1,125,2,124,2,100,4,107,3,114,224,124,2,106,16,131, + 0,115,210,116,17,100,9,106,18,124,2,131,1,131,1,130, + 1,100,10,106,18,124,10,116,19,124,2,131,3,125,10,116, + 20,124,4,116,21,124,10,116,22,100,8,25,0,23,0,131, + 3,83,0,41,11,97,254,2,0,0,71,105,118,101,110,32, + 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, - 104,101,95,116,97,103,32,105,115,32,78,111,110,101,233,0, - 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, - 121,112,101,69,114,114,111,114,114,40,0,0,0,114,34,0, - 0,0,114,8,0,0,0,218,14,105,109,112,108,101,109,101, - 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, - 101,100,69,114,114,111,114,114,28,0,0,0,218,5,102,108, - 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, - 117,101,69,114,114,111,114,114,50,0,0,0,218,4,95,79, - 80,84,114,30,0,0,0,218,8,95,80,89,67,65,67,72, - 69,218,17,66,89,84,69,67,79,68,69,95,83,85,70,70, - 73,88,69,83,41,11,114,37,0,0,0,90,14,100,101,98, - 117,103,95,111,118,101,114,114,105,100,101,114,60,0,0,0, - 218,7,109,101,115,115,97,103,101,218,4,104,101,97,100,114, - 39,0,0,0,90,4,98,97,115,101,218,3,115,101,112,218, - 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, - 114,4,0,0,0,114,6,0,0,0,218,17,99,97,99,104, - 101,95,102,114,111,109,95,115,111,117,114,99,101,1,1,0, - 0,115,46,0,0,0,0,18,8,1,6,1,6,1,8,1, - 4,1,8,1,12,1,12,1,16,1,8,1,8,1,8,1, - 24,1,8,1,12,1,6,2,8,1,8,1,8,1,8,1, - 14,1,14,1,114,82,0,0,0,99,1,0,0,0,0,0, - 0,0,8,0,0,0,5,0,0,0,67,0,0,0,115,220, - 0,0,0,116,0,106,1,106,2,100,1,107,8,114,20,116, - 3,100,2,131,1,130,1,116,4,124,0,131,1,92,2,125, - 1,125,2,116,4,124,1,131,1,92,2,125,1,125,3,124, - 3,116,5,107,3,114,68,116,6,100,3,106,7,116,5,124, - 0,131,2,131,1,130,1,124,2,106,8,100,4,131,1,125, - 4,124,4,100,11,107,7,114,102,116,6,100,7,106,7,124, - 2,131,1,131,1,130,1,110,86,124,4,100,6,107,2,114, - 188,124,2,106,9,100,4,100,5,131,2,100,12,25,0,125, - 5,124,5,106,10,116,11,131,1,115,150,116,6,100,8,106, - 7,116,11,131,1,131,1,130,1,124,5,116,12,116,11,131, - 1,100,1,133,2,25,0,125,6,124,6,106,13,131,0,115, - 188,116,6,100,9,106,7,124,5,131,1,131,1,130,1,124, - 2,106,14,100,4,131,1,100,10,25,0,125,7,116,15,124, - 1,124,7,116,16,100,10,25,0,23,0,131,2,83,0,41, - 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, - 102,105,108,101,44,32,114,101,116,117,114,110,32,116,104,101, - 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, - 46,112,121,99,32,102,105,108,101,32,100,111,101,115,32,110, - 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, - 114,125,114,61,0,0,0,114,59,0,0,0,233,3,0,0, - 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, - 118,97,108,117,101,114,62,0,0,0,62,2,0,0,0,114, - 59,0,0,0,114,83,0,0,0,233,254,255,255,255,41,17, - 114,8,0,0,0,114,67,0,0,0,114,68,0,0,0,114, - 69,0,0,0,114,40,0,0,0,114,76,0,0,0,114,74, - 0,0,0,114,50,0,0,0,218,5,99,111,117,110,116,114, - 36,0,0,0,114,10,0,0,0,114,75,0,0,0,114,33, - 0,0,0,114,73,0,0,0,218,9,112,97,114,116,105,116, - 105,111,110,114,30,0,0,0,218,15,83,79,85,82,67,69, - 95,83,85,70,70,73,88,69,83,41,8,114,37,0,0,0, - 114,79,0,0,0,90,16,112,121,99,97,99,104,101,95,102, - 105,108,101,110,97,109,101,90,7,112,121,99,97,99,104,101, - 90,9,100,111,116,95,99,111,117,110,116,114,60,0,0,0, - 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, - 4,0,0,0,114,6,0,0,0,218,17,115,111,117,114,99, - 101,95,102,114,111,109,95,99,97,99,104,101,45,1,0,0, - 115,44,0,0,0,0,9,12,1,8,1,12,1,12,1,8, - 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3,114,166,100,10,106,1,124,2,131,1,125,8,116,2,106, - 3,100,9,124,8,131,2,1,0,116,6,124,8,131,1,130, - 1,110,42,116,5,124,7,131,1,100,5,107,3,114,208,100, - 11,106,1,124,2,131,1,125,8,116,2,106,3,100,9,124, - 8,131,2,1,0,116,6,124,8,131,1,130,1,124,1,100, - 1,107,9,144,1,114,116,121,16,116,7,124,1,100,12,25, - 0,131,1,125,9,87,0,110,20,4,0,116,8,107,10,114, - 254,1,0,1,0,1,0,89,0,110,48,88,0,116,9,124, - 6,131,1,124,9,107,3,144,1,114,46,100,13,106,1,124, - 2,131,1,125,8,116,2,106,3,100,9,124,8,131,2,1, - 0,116,4,124,8,124,4,141,1,130,1,121,16,124,1,100, - 14,25,0,100,15,64,0,125,10,87,0,110,22,4,0,116, - 8,107,10,144,1,114,84,1,0,1,0,1,0,89,0,110, - 32,88,0,116,9,124,7,131,1,124,10,107,3,144,1,114, - 116,116,4,100,13,106,1,124,2,131,1,124,4,141,1,130, - 1,124,0,100,7,100,1,133,2,25,0,83,0,41,16,97, - 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, - 101,0,0,0,122,10,60,98,121,116,101,99,111,100,101,62, - 114,37,0,0,0,114,14,0,0,0,233,8,0,0,0,233, - 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, - 65,71,73,67,95,78,85,77,66,69,82,114,50,0,0,0, - 114,117,0,0,0,218,16,95,118,101,114,98,111,115,101,95, - 109,101,115,115,97,103,101,114,102,0,0,0,114,33,0,0, - 0,218,8,69,79,70,69,114,114,111,114,114,16,0,0,0, - 218,8,75,101,121,69,114,114,111,114,114,21,0,0,0,41, - 11,114,56,0,0,0,218,12,115,111,117,114,99,101,95,115, - 116,97,116,115,114,101,0,0,0,114,37,0,0,0,90,11, - 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, - 112,90,8,114,97,119,95,115,105,122,101,114,78,0,0,0, - 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, - 114,4,0,0,0,114,6,0,0,0,218,25,95,118,97,108, - 105,100,97,116,101,95,98,121,116,101,99,111,100,101,95,104, - 101,97,100,101,114,166,1,0,0,115,76,0,0,0,0,11, - 4,1,8,1,10,3,4,1,8,1,8,1,12,1,12,1, - 12,1,8,1,12,1,12,1,12,1,12,1,10,1,12,1, - 10,1,12,1,10,1,12,1,8,1,10,1,2,1,16,1, - 14,1,6,2,14,1,10,1,12,1,10,1,2,1,16,1, - 16,1,6,2,14,1,10,1,6,1,114,138,0,0,0,99, - 4,0,0,0,0,0,0,0,5,0,0,0,6,0,0,0, - 67,0,0,0,115,86,0,0,0,116,0,106,1,124,0,131, - 1,125,4,116,2,124,4,116,3,131,2,114,58,116,4,106, - 5,100,1,124,2,131,2,1,0,124,3,100,2,107,9,114, - 52,116,6,106,7,124,4,124,3,131,2,1,0,124,4,83, - 0,110,24,116,8,100,3,106,9,124,2,131,1,100,4,124, - 1,100,5,124,2,144,2,131,1,130,1,100,2,83,0,41, - 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, - 114,101,0,0,0,114,37,0,0,0,41,10,218,7,109,97, - 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, - 116,121,112,101,114,117,0,0,0,114,132,0,0,0,218,4, - 95,105,109,112,90,16,95,102,105,120,95,99,111,95,102,105, - 108,101,110,97,109,101,114,102,0,0,0,114,50,0,0,0, - 41,5,114,56,0,0,0,114,101,0,0,0,114,92,0,0, - 0,114,93,0,0,0,218,4,99,111,100,101,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,218,17,95,99,111, - 109,112,105,108,101,95,98,121,116,101,99,111,100,101,221,1, - 0,0,115,16,0,0,0,0,2,10,1,10,1,12,1,8, - 1,12,1,6,2,12,1,114,144,0,0,0,114,62,0,0, - 0,99,3,0,0,0,0,0,0,0,4,0,0,0,3,0, - 0,0,67,0,0,0,115,56,0,0,0,116,0,116,1,131, - 1,125,3,124,3,106,2,116,3,124,1,131,1,131,1,1, - 0,124,3,106,2,116,3,124,2,131,1,131,1,1,0,124, - 3,106,2,116,4,106,5,124,0,131,1,131,1,1,0,124, - 3,83,0,41,1,122,80,67,111,109,112,105,108,101,32,97, - 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, - 114,114,97,121,114,131,0,0,0,218,6,101,120,116,101,110, - 100,114,19,0,0,0,114,139,0,0,0,90,5,100,117,109, - 112,115,41,4,114,143,0,0,0,114,129,0,0,0,114,137, - 0,0,0,114,56,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,218,17,95,99,111,100,101,95,116, - 111,95,98,121,116,101,99,111,100,101,233,1,0,0,115,10, - 0,0,0,0,3,8,1,14,1,14,1,16,1,114,147,0, - 0,0,99,1,0,0,0,0,0,0,0,5,0,0,0,4, - 0,0,0,67,0,0,0,115,62,0,0,0,100,1,100,2, - 108,0,125,1,116,1,106,2,124,0,131,1,106,3,125,2, - 124,1,106,4,124,2,131,1,125,3,116,1,106,5,100,2, - 100,3,131,2,125,4,124,4,106,6,124,0,106,6,124,3, - 100,1,25,0,131,1,131,1,83,0,41,4,122,121,68,101, - 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, - 103,46,10,32,32,32,32,114,62,0,0,0,78,84,41,7, - 218,8,116,111,107,101,110,105,122,101,114,52,0,0,0,90, - 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, - 95,98,121,116,101,115,114,148,0,0,0,90,21,115,111,117, - 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, - 0,0,114,4,0,0,0,114,6,0,0,0,218,13,100,101, - 99,111,100,101,95,115,111,117,114,99,101,243,1,0,0,115, - 10,0,0,0,0,5,8,1,12,1,10,1,12,1,114,152, - 0,0,0,41,2,114,123,0,0,0,218,26,115,117,98,109, - 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, - 0,0,0,19,0,0,0,67,0,0,0,115,8,1,0,0, - 124,1,100,1,107,8,114,58,100,2,125,1,116,0,124,2, - 100,3,131,2,114,58,121,14,124,2,106,1,124,0,131,1, - 125,1,87,0,110,20,4,0,116,2,107,10,114,56,1,0, - 1,0,1,0,89,0,110,2,88,0,116,3,106,4,124,0, - 124,2,100,4,124,1,144,1,131,2,125,4,100,5,124,4, - 95,5,124,2,100,1,107,8,114,146,120,54,116,6,131,0, - 68,0,93,40,92,2,125,5,125,6,124,1,106,7,116,8, - 124,6,131,1,131,1,114,98,124,5,124,0,124,1,131,2, - 125,2,124,2,124,4,95,9,80,0,113,98,87,0,100,1, - 83,0,124,3,116,10,107,8,114,212,116,0,124,2,100,6, - 131,2,114,218,121,14,124,2,106,11,124,0,131,1,125,7, - 87,0,110,20,4,0,116,2,107,10,114,198,1,0,1,0, - 1,0,89,0,113,218,88,0,124,7,114,218,103,0,124,4, - 95,12,110,6,124,3,124,4,95,12,124,4,106,12,103,0, - 107,2,144,1,114,4,124,1,144,1,114,4,116,13,124,1, - 131,1,100,7,25,0,125,8,124,4,106,12,106,14,124,8, - 131,1,1,0,124,4,83,0,41,8,97,61,1,0,0,82, - 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, - 104,97,116,32,116,104,101,32,109,111,100,117,108,101,32,105, - 115,32,97,32,112,97,99,107,97,103,101,44,32,115,101,116, - 10,32,32,32,32,115,117,98,109,111,100,117,108,101,95,115, - 101,97,114,99,104,95,108,111,99,97,116,105,111,110,115,32, - 116,111,32,97,32,108,105,115,116,32,111,102,32,100,105,114, - 101,99,116,111,114,121,32,112,97,116,104,115,46,32,32,65, - 110,10,32,32,32,32,101,109,112,116,121,32,108,105,115,116, - 32,105,115,32,115,117,102,102,105,99,105,101,110,116,44,32, - 116,104,111,117,103,104,32,105,116,115,32,110,111,116,32,111, - 116,104,101,114,119,105,115,101,32,117,115,101,102,117,108,32, - 116,111,32,116,104,101,10,32,32,32,32,105,109,112,111,114, - 116,32,115,121,115,116,101,109,46,10,10,32,32,32,32,84, - 104,101,32,108,111,97,100,101,114,32,109,117,115,116,32,116, - 97,107,101,32,97,32,115,112,101,99,32,97,115,32,105,116, - 115,32,111,110,108,121,32,95,95,105,110,105,116,95,95,40, - 41,32,97,114,103,46,10,10,32,32,32,32,78,122,9,60, - 117,110,107,110,111,119,110,62,218,12,103,101,116,95,102,105, - 108,101,110,97,109,101,218,6,111,114,105,103,105,110,84,218, - 10,105,115,95,112,97,99,107,97,103,101,114,62,0,0,0, - 41,15,114,111,0,0,0,114,154,0,0,0,114,102,0,0, - 0,114,117,0,0,0,218,10,77,111,100,117,108,101,83,112, - 101,99,90,13,95,115,101,116,95,102,105,108,101,97,116,116, - 114,218,27,95,103,101,116,95,115,117,112,112,111,114,116,101, - 100,95,102,105,108,101,95,108,111,97,100,101,114,115,114,95, - 0,0,0,114,96,0,0,0,114,123,0,0,0,218,9,95, - 80,79,80,85,76,65,84,69,114,156,0,0,0,114,153,0, - 0,0,114,40,0,0,0,218,6,97,112,112,101,110,100,41, - 9,114,101,0,0,0,90,8,108,111,99,97,116,105,111,110, - 114,123,0,0,0,114,153,0,0,0,218,4,115,112,101,99, - 218,12,108,111,97,100,101,114,95,99,108,97,115,115,218,8, - 115,117,102,102,105,120,101,115,114,156,0,0,0,90,7,100, - 105,114,110,97,109,101,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,218,23,115,112,101,99,95,102,114,111,109, - 95,102,105,108,101,95,108,111,99,97,116,105,111,110,4,2, - 0,0,115,60,0,0,0,0,12,8,4,4,1,10,2,2, - 1,14,1,14,1,6,8,18,1,6,3,8,1,16,1,14, - 1,10,1,6,1,6,2,4,3,8,2,10,1,2,1,14, - 1,14,1,6,2,4,1,8,2,6,1,12,1,6,1,12, - 1,12,2,114,164,0,0,0,99,0,0,0,0,0,0,0, - 0,0,0,0,0,4,0,0,0,64,0,0,0,115,80,0, - 0,0,101,0,90,1,100,0,90,2,100,1,90,3,100,2, - 90,4,100,3,90,5,100,4,90,6,101,7,100,5,100,6, - 132,0,131,1,90,8,101,7,100,7,100,8,132,0,131,1, - 90,9,101,7,100,14,100,10,100,11,132,1,131,1,90,10, - 101,7,100,15,100,12,100,13,132,1,131,1,90,11,100,9, - 83,0,41,16,218,21,87,105,110,100,111,119,115,82,101,103, - 105,115,116,114,121,70,105,110,100,101,114,122,62,77,101,116, - 97,32,112,97,116,104,32,102,105,110,100,101,114,32,102,111, - 114,32,109,111,100,117,108,101,115,32,100,101,99,108,97,114, - 101,100,32,105,110,32,116,104,101,32,87,105,110,100,111,119, - 115,32,114,101,103,105,115,116,114,121,46,122,59,83,111,102, - 116,119,97,114,101,92,80,121,116,104,111,110,92,80,121,116, - 104,111,110,67,111,114,101,92,123,115,121,115,95,118,101,114, - 115,105,111,110,125,92,77,111,100,117,108,101,115,92,123,102, - 117,108,108,110,97,109,101,125,122,65,83,111,102,116,119,97, - 114,101,92,80,121,116,104,111,110,92,80,121,116,104,111,110, - 67,111,114,101,92,123,115,121,115,95,118,101,114,115,105,111, - 110,125,92,77,111,100,117,108,101,115,92,123,102,117,108,108, - 110,97,109,101,125,92,68,101,98,117,103,70,99,2,0,0, - 0,0,0,0,0,2,0,0,0,11,0,0,0,67,0,0, - 0,115,50,0,0,0,121,14,116,0,106,1,116,0,106,2, - 124,1,131,2,83,0,4,0,116,3,107,10,114,44,1,0, - 1,0,1,0,116,0,106,1,116,0,106,4,124,1,131,2, - 83,0,88,0,100,0,83,0,41,1,78,41,5,218,7,95, - 119,105,110,114,101,103,90,7,79,112,101,110,75,101,121,90, - 17,72,75,69,89,95,67,85,82,82,69,78,84,95,85,83, - 69,82,114,42,0,0,0,90,18,72,75,69,89,95,76,79, - 67,65,76,95,77,65,67,72,73,78,69,41,2,218,3,99, - 108,115,114,5,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,218,14,95,111,112,101,110,95,114,101, - 103,105,115,116,114,121,82,2,0,0,115,8,0,0,0,0, - 2,2,1,14,1,14,1,122,36,87,105,110,100,111,119,115, - 82,101,103,105,115,116,114,121,70,105,110,100,101,114,46,95, - 111,112,101,110,95,114,101,103,105,115,116,114,121,99,2,0, - 0,0,0,0,0,0,6,0,0,0,16,0,0,0,67,0, - 0,0,115,116,0,0,0,124,0,106,0,114,14,124,0,106, - 1,125,2,110,6,124,0,106,2,125,2,124,2,106,3,100, - 1,124,1,100,2,100,3,116,4,106,5,100,0,100,4,133, - 2,25,0,22,0,144,2,131,0,125,3,121,38,124,0,106, - 6,124,3,131,1,143,18,125,4,116,7,106,8,124,4,100, - 5,131,2,125,5,87,0,100,0,81,0,82,0,88,0,87, - 0,110,20,4,0,116,9,107,10,114,110,1,0,1,0,1, - 0,100,0,83,0,88,0,124,5,83,0,41,6,78,114,122, - 0,0,0,90,11,115,121,115,95,118,101,114,115,105,111,110, - 122,5,37,100,46,37,100,114,59,0,0,0,114,32,0,0, - 0,41,10,218,11,68,69,66,85,71,95,66,85,73,76,68, - 218,18,82,69,71,73,83,84,82,89,95,75,69,89,95,68, - 69,66,85,71,218,12,82,69,71,73,83,84,82,89,95,75, - 69,89,114,50,0,0,0,114,8,0,0,0,218,12,118,101, - 114,115,105,111,110,95,105,110,102,111,114,168,0,0,0,114, - 166,0,0,0,90,10,81,117,101,114,121,86,97,108,117,101, - 114,42,0,0,0,41,6,114,167,0,0,0,114,122,0,0, - 0,90,12,114,101,103,105,115,116,114,121,95,107,101,121,114, - 5,0,0,0,90,4,104,107,101,121,218,8,102,105,108,101, - 112,97,116,104,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,218,16,95,115,101,97,114,99,104,95,114,101,103, - 105,115,116,114,121,89,2,0,0,115,22,0,0,0,0,2, - 6,1,8,2,6,1,10,1,22,1,2,1,12,1,26,1, - 14,1,6,1,122,38,87,105,110,100,111,119,115,82,101,103, - 105,115,116,114,121,70,105,110,100,101,114,46,95,115,101,97, - 114,99,104,95,114,101,103,105,115,116,114,121,78,99,4,0, - 0,0,0,0,0,0,8,0,0,0,14,0,0,0,67,0, - 0,0,115,122,0,0,0,124,0,106,0,124,1,131,1,125, - 4,124,4,100,0,107,8,114,22,100,0,83,0,121,12,116, - 1,124,4,131,1,1,0,87,0,110,20,4,0,116,2,107, - 10,114,54,1,0,1,0,1,0,100,0,83,0,88,0,120, - 60,116,3,131,0,68,0,93,50,92,2,125,5,125,6,124, - 4,106,4,116,5,124,6,131,1,131,1,114,64,116,6,106, - 7,124,1,124,5,124,1,124,4,131,2,100,1,124,4,144, - 1,131,2,125,7,124,7,83,0,113,64,87,0,100,0,83, - 0,41,2,78,114,155,0,0,0,41,8,114,174,0,0,0, - 114,41,0,0,0,114,42,0,0,0,114,158,0,0,0,114, - 95,0,0,0,114,96,0,0,0,114,117,0,0,0,218,16, - 115,112,101,99,95,102,114,111,109,95,108,111,97,100,101,114, - 41,8,114,167,0,0,0,114,122,0,0,0,114,37,0,0, - 0,218,6,116,97,114,103,101,116,114,173,0,0,0,114,123, - 0,0,0,114,163,0,0,0,114,161,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,6,0,0,0,218,9,102,105, - 110,100,95,115,112,101,99,104,2,0,0,115,26,0,0,0, - 0,2,10,1,8,1,4,1,2,1,12,1,14,1,6,1, - 16,1,14,1,6,1,10,1,8,1,122,31,87,105,110,100, - 111,119,115,82,101,103,105,115,116,114,121,70,105,110,100,101, - 114,46,102,105,110,100,95,115,112,101,99,99,3,0,0,0, - 0,0,0,0,4,0,0,0,3,0,0,0,67,0,0,0, - 115,36,0,0,0,124,0,106,0,124,1,124,2,131,2,125, - 3,124,3,100,1,107,9,114,28,124,3,106,1,83,0,110, - 4,100,1,83,0,100,1,83,0,41,2,122,108,70,105,110, - 100,32,109,111,100,117,108,101,32,110,97,109,101,100,32,105, - 110,32,116,104,101,32,114,101,103,105,115,116,114,121,46,10, - 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, - 10,32,32,32,32,32,32,32,32,78,41,2,114,177,0,0, - 0,114,123,0,0,0,41,4,114,167,0,0,0,114,122,0, - 0,0,114,37,0,0,0,114,161,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,218,11,102,105,110, - 100,95,109,111,100,117,108,101,120,2,0,0,115,8,0,0, - 0,0,7,12,1,8,1,8,2,122,33,87,105,110,100,111, - 119,115,82,101,103,105,115,116,114,121,70,105,110,100,101,114, - 46,102,105,110,100,95,109,111,100,117,108,101,41,2,78,78, - 41,1,78,41,12,114,108,0,0,0,114,107,0,0,0,114, - 109,0,0,0,114,110,0,0,0,114,171,0,0,0,114,170, - 0,0,0,114,169,0,0,0,218,11,99,108,97,115,115,109, - 101,116,104,111,100,114,168,0,0,0,114,174,0,0,0,114, - 177,0,0,0,114,178,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,165,0, - 0,0,70,2,0,0,115,20,0,0,0,8,2,4,3,4, - 3,4,2,4,2,12,7,12,15,2,1,12,15,2,1,114, - 165,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, - 0,2,0,0,0,64,0,0,0,115,48,0,0,0,101,0, - 90,1,100,0,90,2,100,1,90,3,100,2,100,3,132,0, - 90,4,100,4,100,5,132,0,90,5,100,6,100,7,132,0, - 90,6,100,8,100,9,132,0,90,7,100,10,83,0,41,11, - 218,13,95,76,111,97,100,101,114,66,97,115,105,99,115,122, - 83,66,97,115,101,32,99,108,97,115,115,32,111,102,32,99, - 111,109,109,111,110,32,99,111,100,101,32,110,101,101,100,101, - 100,32,98,121,32,98,111,116,104,32,83,111,117,114,99,101, - 76,111,97,100,101,114,32,97,110,100,10,32,32,32,32,83, - 111,117,114,99,101,108,101,115,115,70,105,108,101,76,111,97, - 100,101,114,46,99,2,0,0,0,0,0,0,0,5,0,0, - 0,3,0,0,0,67,0,0,0,115,64,0,0,0,116,0, - 124,0,106,1,124,1,131,1,131,1,100,1,25,0,125,2, - 124,2,106,2,100,2,100,1,131,2,100,3,25,0,125,3, - 124,1,106,3,100,2,131,1,100,4,25,0,125,4,124,3, - 100,5,107,2,111,62,124,4,100,5,107,3,83,0,41,6, - 122,141,67,111,110,99,114,101,116,101,32,105,109,112,108,101, - 109,101,110,116,97,116,105,111,110,32,111,102,32,73,110,115, - 112,101,99,116,76,111,97,100,101,114,46,105,115,95,112,97, - 99,107,97,103,101,32,98,121,32,99,104,101,99,107,105,110, - 103,32,105,102,10,32,32,32,32,32,32,32,32,116,104,101, - 32,112,97,116,104,32,114,101,116,117,114,110,101,100,32,98, - 121,32,103,101,116,95,102,105,108,101,110,97,109,101,32,104, - 97,115,32,97,32,102,105,108,101,110,97,109,101,32,111,102, - 32,39,95,95,105,110,105,116,95,95,46,112,121,39,46,114, - 31,0,0,0,114,61,0,0,0,114,62,0,0,0,114,59, - 0,0,0,218,8,95,95,105,110,105,116,95,95,41,4,114, - 40,0,0,0,114,154,0,0,0,114,36,0,0,0,114,34, - 0,0,0,41,5,114,103,0,0,0,114,122,0,0,0,114, - 97,0,0,0,90,13,102,105,108,101,110,97,109,101,95,98, - 97,115,101,90,9,116,97,105,108,95,110,97,109,101,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,156,0, - 0,0,139,2,0,0,115,8,0,0,0,0,3,18,1,16, - 1,14,1,122,24,95,76,111,97,100,101,114,66,97,115,105, - 99,115,46,105,115,95,112,97,99,107,97,103,101,99,2,0, - 0,0,0,0,0,0,2,0,0,0,1,0,0,0,67,0, - 0,0,115,4,0,0,0,100,1,83,0,41,2,122,42,85, - 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, - 2,114,103,0,0,0,114,161,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,218,13,99,114,101,97, - 116,101,95,109,111,100,117,108,101,147,2,0,0,115,0,0, - 0,0,122,27,95,76,111,97,100,101,114,66,97,115,105,99, - 115,46,99,114,101,97,116,101,95,109,111,100,117,108,101,99, - 2,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0, - 67,0,0,0,115,56,0,0,0,124,0,106,0,124,1,106, - 1,131,1,125,2,124,2,100,1,107,8,114,36,116,2,100, - 2,106,3,124,1,106,1,131,1,131,1,130,1,116,4,106, - 5,116,6,124,2,124,1,106,7,131,3,1,0,100,1,83, - 0,41,3,122,19,69,120,101,99,117,116,101,32,116,104,101, - 32,109,111,100,117,108,101,46,78,122,52,99,97,110,110,111, - 116,32,108,111,97,100,32,109,111,100,117,108,101,32,123,33, - 114,125,32,119,104,101,110,32,103,101,116,95,99,111,100,101, - 40,41,32,114,101,116,117,114,110,115,32,78,111,110,101,41, - 8,218,8,103,101,116,95,99,111,100,101,114,108,0,0,0, - 114,102,0,0,0,114,50,0,0,0,114,117,0,0,0,218, - 25,95,99,97,108,108,95,119,105,116,104,95,102,114,97,109, - 101,115,95,114,101,109,111,118,101,100,218,4,101,120,101,99, - 114,114,0,0,0,41,3,114,103,0,0,0,218,6,109,111, - 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32,102,105,108,101,32,115,121,115,116,101,109,46,99,2,0, - 0,0,0,0,0,0,3,0,0,0,3,0,0,0,67,0, - 0,0,115,22,0,0,0,116,0,124,1,131,1,125,2,124, - 2,106,1,124,2,106,2,100,1,156,2,83,0,41,2,122, - 33,82,101,116,117,114,110,32,116,104,101,32,109,101,116,97, - 100,97,116,97,32,102,111,114,32,116,104,101,32,112,97,116, - 104,46,41,2,122,5,109,116,105,109,101,122,4,115,105,122, - 101,41,3,114,41,0,0,0,218,8,115,116,95,109,116,105, - 109,101,90,7,115,116,95,115,105,122,101,41,3,114,103,0, - 0,0,114,37,0,0,0,114,204,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,114,193,0,0,0, - 62,3,0,0,115,4,0,0,0,0,2,8,1,122,27,83, - 111,117,114,99,101,70,105,108,101,76,111,97,100,101,114,46, - 112,97,116,104,95,115,116,97,116,115,99,4,0,0,0,0, - 0,0,0,5,0,0,0,5,0,0,0,67,0,0,0,115, - 26,0,0,0,116,0,124,1,131,1,125,4,124,0,106,1, - 124,2,124,3,100,1,124,4,144,1,131,2,83,0,41,2, - 78,218,5,95,109,111,100,101,41,2,114,100,0,0,0,114, - 194,0,0,0,41,5,114,103,0,0,0,114,93,0,0,0, - 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46,114,31,0,0,0,99,1,0,0,0,0,0,0,0,2, - 0,0,0,4,0,0,0,51,0,0,0,115,26,0,0,0, - 124,0,93,18,125,1,136,0,100,0,124,1,23,0,107,2, - 86,0,1,0,113,2,100,1,83,0,41,2,114,181,0,0, - 0,78,114,4,0,0,0,41,2,114,24,0,0,0,218,6, - 115,117,102,102,105,120,41,1,218,9,102,105,108,101,95,110, - 97,109,101,114,4,0,0,0,114,6,0,0,0,250,9,60, - 103,101,110,101,120,112,114,62,158,3,0,0,115,2,0,0, - 0,4,1,122,49,69,120,116,101,110,115,105,111,110,70,105, + 0,0,4,0,0,0,3,0,0,0,115,36,0,0,0,116, + 0,124,0,106,1,131,1,100,1,25,0,137,0,116,2,135, + 0,102,1,100,2,100,3,132,8,116,3,68,0,131,1,131, + 1,83,0,41,4,122,49,82,101,116,117,114,110,32,84,114, + 117,101,32,105,102,32,116,104,101,32,101,120,116,101,110,115, + 105,111,110,32,109,111,100,117,108,101,32,105,115,32,97,32, + 112,97,99,107,97,103,101,46,114,31,0,0,0,99,1,0, + 0,0,0,0,0,0,2,0,0,0,4,0,0,0,51,0, + 0,0,115,26,0,0,0,124,0,93,18,125,1,136,0,100, + 0,124,1,23,0,107,2,86,0,1,0,113,2,100,1,83, + 0,41,2,114,182,0,0,0,78,114,4,0,0,0,41,2, + 114,24,0,0,0,218,6,115,117,102,102,105,120,41,1,218, + 9,102,105,108,101,95,110,97,109,101,114,4,0,0,0,114, + 6,0,0,0,250,9,60,103,101,110,101,120,112,114,62,162, + 3,0,0,115,2,0,0,0,4,1,122,49,69,120,116,101, + 110,115,105,111,110,70,105,108,101,76,111,97,100,101,114,46, + 105,115,95,112,97,99,107,97,103,101,46,60,108,111,99,97, + 108,115,62,46,60,103,101,110,101,120,112,114,62,41,4,114, + 40,0,0,0,114,37,0,0,0,218,3,97,110,121,218,18, + 69,88,84,69,78,83,73,79,78,95,83,85,70,70,73,88, + 69,83,41,2,114,104,0,0,0,114,123,0,0,0,114,4, + 0,0,0,41,1,114,223,0,0,0,114,6,0,0,0,114, + 157,0,0,0,159,3,0,0,115,6,0,0,0,0,2,14, + 1,12,1,122,30,69,120,116,101,110,115,105,111,110,70,105, 108,101,76,111,97,100,101,114,46,105,115,95,112,97,99,107, - 97,103,101,46,60,108,111,99,97,108,115,62,46,60,103,101, - 110,101,120,112,114,62,41,4,114,40,0,0,0,114,37,0, - 0,0,218,3,97,110,121,218,18,69,88,84,69,78,83,73, - 79,78,95,83,85,70,70,73,88,69,83,41,2,114,103,0, - 0,0,114,122,0,0,0,114,4,0,0,0,41,1,114,222, - 0,0,0,114,6,0,0,0,114,156,0,0,0,155,3,0, - 0,115,6,0,0,0,0,2,14,1,12,1,122,30,69,120, - 116,101,110,115,105,111,110,70,105,108,101,76,111,97,100,101, - 114,46,105,115,95,112,97,99,107,97,103,101,99,2,0,0, - 0,0,0,0,0,2,0,0,0,1,0,0,0,67,0,0, - 0,115,4,0,0,0,100,1,83,0,41,2,122,63,82,101, - 116,117,114,110,32,78,111,110,101,32,97,115,32,97,110,32, - 101,120,116,101,110,115,105,111,110,32,109,111,100,117,108,101, - 32,99,97,110,110,111,116,32,99,114,101,97,116,101,32,97, - 32,99,111,100,101,32,111,98,106,101,99,116,46,78,114,4, - 0,0,0,41,2,114,103,0,0,0,114,122,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,183, - 0,0,0,161,3,0,0,115,2,0,0,0,0,2,122,28, - 69,120,116,101,110,115,105,111,110,70,105,108,101,76,111,97, - 100,101,114,46,103,101,116,95,99,111,100,101,99,2,0,0, - 0,0,0,0,0,2,0,0,0,1,0,0,0,67,0,0, - 0,115,4,0,0,0,100,1,83,0,41,2,122,53,82,101, - 116,117,114,110,32,78,111,110,101,32,97,115,32,101,120,116, - 101,110,115,105,111,110,32,109,111,100,117,108,101,115,32,104, - 97,118,101,32,110,111,32,115,111,117,114,99,101,32,99,111, - 100,101,46,78,114,4,0,0,0,41,2,114,103,0,0,0, - 114,122,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,198,0,0,0,165,3,0,0,115,2,0, - 0,0,0,2,122,30,69,120,116,101,110,115,105,111,110,70, - 105,108,101,76,111,97,100,101,114,46,103,101,116,95,115,111, - 117,114,99,101,99,2,0,0,0,0,0,0,0,2,0,0, - 0,1,0,0,0,67,0,0,0,115,6,0,0,0,124,0, - 106,0,83,0,41,1,122,58,82,101,116,117,114,110,32,116, - 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, - 114,46,41,1,114,37,0,0,0,41,2,114,103,0,0,0, - 114,122,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,154,0,0,0,169,3,0,0,115,2,0, - 0,0,0,3,122,32,69,120,116,101,110,115,105,111,110,70, - 105,108,101,76,111,97,100,101,114,46,103,101,116,95,102,105, - 108,101,110,97,109,101,78,41,14,114,108,0,0,0,114,107, - 0,0,0,114,109,0,0,0,114,110,0,0,0,114,181,0, - 0,0,114,209,0,0,0,114,211,0,0,0,114,182,0,0, - 0,114,187,0,0,0,114,156,0,0,0,114,183,0,0,0, - 114,198,0,0,0,114,119,0,0,0,114,154,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,220,0,0,0,122,3,0,0,115,20,0,0, - 0,8,6,4,2,8,4,8,4,8,3,8,8,8,6,8, - 6,8,4,8,4,114,220,0,0,0,99,0,0,0,0,0, - 0,0,0,0,0,0,0,2,0,0,0,64,0,0,0,115, - 96,0,0,0,101,0,90,1,100,0,90,2,100,1,90,3, - 100,2,100,3,132,0,90,4,100,4,100,5,132,0,90,5, - 100,6,100,7,132,0,90,6,100,8,100,9,132,0,90,7, - 100,10,100,11,132,0,90,8,100,12,100,13,132,0,90,9, - 100,14,100,15,132,0,90,10,100,16,100,17,132,0,90,11, - 100,18,100,19,132,0,90,12,100,20,100,21,132,0,90,13, - 100,22,83,0,41,23,218,14,95,78,97,109,101,115,112,97, - 99,101,80,97,116,104,97,38,1,0,0,82,101,112,114,101, - 115,101,110,116,115,32,97,32,110,97,109,101,115,112,97,99, - 101,32,112,97,99,107,97,103,101,39,115,32,112,97,116,104, - 46,32,32,73,116,32,117,115,101,115,32,116,104,101,32,109, - 111,100,117,108,101,32,110,97,109,101,10,32,32,32,32,116, - 111,32,102,105,110,100,32,105,116,115,32,112,97,114,101,110, - 116,32,109,111,100,117,108,101,44,32,97,110,100,32,102,114, - 111,109,32,116,104,101,114,101,32,105,116,32,108,111,111,107, - 115,32,117,112,32,116,104,101,32,112,97,114,101,110,116,39, - 115,10,32,32,32,32,95,95,112,97,116,104,95,95,46,32, - 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, - 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83,0,41,1,78,114,4,0,0,0,41,2,114,103,0,0, - 0,114,186,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,187,0,0,0,4,4,0,0,115,2, - 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, - 3,0,0,0,67,0,0,0,115,26,0,0,0,116,0,106, - 1,100,1,124,0,106,2,131,2,1,0,116,0,106,3,124, - 0,124,1,131,2,83,0,41,2,122,98,76,111,97,100,32, - 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, - 32,123,33,114,125,41,4,114,117,0,0,0,114,132,0,0, - 0,114,228,0,0,0,114,188,0,0,0,41,2,114,103,0, - 0,0,114,122,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,189,0,0,0,7,4,0,0,115, - 6,0,0,0,0,7,6,1,8,1,122,28,95,78,97,109, - 101,115,112,97,99,101,76,111,97,100,101,114,46,108,111,97, - 100,95,109,111,100,117,108,101,78,41,12,114,108,0,0,0, - 114,107,0,0,0,114,109,0,0,0,114,181,0,0,0,114, - 179,0,0,0,114,246,0,0,0,114,156,0,0,0,114,198, - 0,0,0,114,183,0,0,0,114,182,0,0,0,114,187,0, - 0,0,114,189,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,114,245,0,0,0, - 235,3,0,0,115,16,0,0,0,8,1,8,3,12,9,8, - 3,8,3,8,3,8,3,8,3,114,245,0,0,0,99,0, - 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,64, - 0,0,0,115,106,0,0,0,101,0,90,1,100,0,90,2, - 100,1,90,3,101,4,100,2,100,3,132,0,131,1,90,5, - 101,4,100,4,100,5,132,0,131,1,90,6,101,4,100,6, - 100,7,132,0,131,1,90,7,101,4,100,8,100,9,132,0, - 131,1,90,8,101,4,100,17,100,11,100,12,132,1,131,1, - 90,9,101,4,100,18,100,13,100,14,132,1,131,1,90,10, - 101,4,100,19,100,15,100,16,132,1,131,1,90,11,100,10, - 83,0,41,20,218,10,80,97,116,104,70,105,110,100,101,114, - 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, - 0,67,0,0,0,115,42,0,0,0,120,36,116,0,106,1, - 106,2,131,0,68,0,93,22,125,1,116,3,124,1,100,1, - 131,2,114,12,124,1,106,4,131,0,1,0,113,12,87,0, - 100,2,83,0,41,3,122,125,67,97,108,108,32,116,104,101, - 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, - 101,95,99,97,99,104,101,115,78,41,5,114,8,0,0,0, - 218,19,112,97,116,104,95,105,109,112,111,114,116,101,114,95, - 99,97,99,104,101,218,6,118,97,108,117,101,115,114,111,0, - 0,0,114,248,0,0,0,41,2,114,167,0,0,0,218,6, - 102,105,110,100,101,114,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,248,0,0,0,25,4,0,0,115,6, - 0,0,0,0,4,16,1,10,1,122,28,80,97,116,104,70, - 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, - 3,0,0,0,12,0,0,0,67,0,0,0,115,86,0,0, - 0,116,0,106,1,100,1,107,9,114,30,116,0,106,1,12, - 0,114,30,116,2,106,3,100,2,116,4,131,2,1,0,120, - 50,116,0,106,1,68,0,93,36,125,2,121,8,124,2,124, - 1,131,1,83,0,4,0,116,5,107,10,114,72,1,0,1, - 0,1,0,119,38,89,0,113,38,88,0,113,38,87,0,100, - 1,83,0,100,1,83,0,41,3,122,46,83,101,97,114,99, - 104,32,115,121,115,46,112,97,116,104,95,104,111,111,107,115, - 32,102,111,114,32,97,32,102,105,110,100,101,114,32,102,111, - 114,32,39,112,97,116,104,39,46,78,122,23,115,121,115,46, - 112,97,116,104,95,104,111,111,107,115,32,105,115,32,101,109, - 112,116,121,41,6,114,8,0,0,0,218,10,112,97,116,104, - 95,104,111,111,107,115,114,63,0,0,0,114,64,0,0,0, - 114,121,0,0,0,114,102,0,0,0,41,3,114,167,0,0, - 0,114,37,0,0,0,90,4,104,111,111,107,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,218,11,95,112,97, - 116,104,95,104,111,111,107,115,33,4,0,0,115,16,0,0, - 0,0,3,18,1,12,1,12,1,2,1,8,1,14,1,12, - 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, - 0,0,3,0,0,0,19,0,0,0,67,0,0,0,115,102, - 0,0,0,124,1,100,1,107,2,114,42,121,12,116,0,106, - 1,131,0,125,1,87,0,110,20,4,0,116,2,107,10,114, - 40,1,0,1,0,1,0,100,2,83,0,88,0,121,14,116, - 3,106,4,124,1,25,0,125,2,87,0,110,40,4,0,116, - 5,107,10,114,96,1,0,1,0,1,0,124,0,106,6,124, - 1,131,1,125,2,124,2,116,3,106,4,124,1,60,0,89, - 0,110,2,88,0,124,2,83,0,41,3,122,210,71,101,116, - 32,116,104,101,32,102,105,110,100,101,114,32,102,111,114,32, - 116,104,101,32,112,97,116,104,32,101,110,116,114,121,32,102, - 114,111,109,32,115,121,115,46,112,97,116,104,95,105,109,112, - 111,114,116,101,114,95,99,97,99,104,101,46,10,10,32,32, - 32,32,32,32,32,32,73,102,32,116,104,101,32,112,97,116, - 104,32,101,110,116,114,121,32,105,115,32,110,111,116,32,105, - 110,32,116,104,101,32,99,97,99,104,101,44,32,102,105,110, - 100,32,116,104,101,32,97,112,112,114,111,112,114,105,97,116, - 101,32,102,105,110,100,101,114,10,32,32,32,32,32,32,32, - 32,97,110,100,32,99,97,99,104,101,32,105,116,46,32,73, - 102,32,110,111,32,102,105,110,100,101,114,32,105,115,32,97, - 118,97,105,108,97,98,108,101,44,32,115,116,111,114,101,32, - 78,111,110,101,46,10,10,32,32,32,32,32,32,32,32,114, - 32,0,0,0,78,41,7,114,3,0,0,0,114,47,0,0, - 0,218,17,70,105,108,101,78,111,116,70,111,117,110,100,69, - 114,114,111,114,114,8,0,0,0,114,249,0,0,0,114,134, - 0,0,0,114,253,0,0,0,41,3,114,167,0,0,0,114, - 37,0,0,0,114,251,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,218,20,95,112,97,116,104,95, - 105,109,112,111,114,116,101,114,95,99,97,99,104,101,46,4, - 0,0,115,22,0,0,0,0,8,8,1,2,1,12,1,14, - 3,6,1,2,1,14,1,14,1,10,1,16,1,122,31,80, - 97,116,104,70,105,110,100,101,114,46,95,112,97,116,104,95, - 105,109,112,111,114,116,101,114,95,99,97,99,104,101,99,3, - 0,0,0,0,0,0,0,6,0,0,0,3,0,0,0,67, - 0,0,0,115,82,0,0,0,116,0,124,2,100,1,131,2, - 114,26,124,2,106,1,124,1,131,1,92,2,125,3,125,4, - 110,14,124,2,106,2,124,1,131,1,125,3,103,0,125,4, - 124,3,100,0,107,9,114,60,116,3,106,4,124,1,124,3, - 131,2,83,0,116,3,106,5,124,1,100,0,131,2,125,5, - 124,4,124,5,95,6,124,5,83,0,41,2,78,114,120,0, - 0,0,41,7,114,111,0,0,0,114,120,0,0,0,114,178, - 0,0,0,114,117,0,0,0,114,175,0,0,0,114,157,0, - 0,0,114,153,0,0,0,41,6,114,167,0,0,0,114,122, - 0,0,0,114,251,0,0,0,114,123,0,0,0,114,124,0, - 0,0,114,161,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,218,16,95,108,101,103,97,99,121,95, - 103,101,116,95,115,112,101,99,68,4,0,0,115,18,0,0, - 0,0,4,10,1,16,2,10,1,4,1,8,1,12,1,12, - 1,6,1,122,27,80,97,116,104,70,105,110,100,101,114,46, - 95,108,101,103,97,99,121,95,103,101,116,95,115,112,101,99, - 78,99,4,0,0,0,0,0,0,0,9,0,0,0,5,0, - 0,0,67,0,0,0,115,170,0,0,0,103,0,125,4,120, - 160,124,2,68,0,93,130,125,5,116,0,124,5,116,1,116, - 2,102,2,131,2,115,30,113,10,124,0,106,3,124,5,131, - 1,125,6,124,6,100,1,107,9,114,10,116,4,124,6,100, - 2,131,2,114,72,124,6,106,5,124,1,124,3,131,2,125, - 7,110,12,124,0,106,6,124,1,124,6,131,2,125,7,124, - 7,100,1,107,8,114,94,113,10,124,7,106,7,100,1,107, - 9,114,108,124,7,83,0,124,7,106,8,125,8,124,8,100, - 1,107,8,114,130,116,9,100,3,131,1,130,1,124,4,106, - 10,124,8,131,1,1,0,113,10,87,0,116,11,106,12,124, - 1,100,1,131,2,125,7,124,4,124,7,95,8,124,7,83, - 0,100,1,83,0,41,4,122,63,70,105,110,100,32,116,104, - 101,32,108,111,97,100,101,114,32,111,114,32,110,97,109,101, - 115,112,97,99,101,95,112,97,116,104,32,102,111,114,32,116, - 104,105,115,32,109,111,100,117,108,101,47,112,97,99,107,97, - 103,101,32,110,97,109,101,46,78,114,177,0,0,0,122,19, - 115,112,101,99,32,109,105,115,115,105,110,103,32,108,111,97, - 100,101,114,41,13,114,140,0,0,0,114,72,0,0,0,218, - 5,98,121,116,101,115,114,255,0,0,0,114,111,0,0,0, - 114,177,0,0,0,114,0,1,0,0,114,123,0,0,0,114, - 153,0,0,0,114,102,0,0,0,114,146,0,0,0,114,117, - 0,0,0,114,157,0,0,0,41,9,114,167,0,0,0,114, - 122,0,0,0,114,37,0,0,0,114,176,0,0,0,218,14, - 110,97,109,101,115,112,97,99,101,95,112,97,116,104,90,5, - 101,110,116,114,121,114,251,0,0,0,114,161,0,0,0,114, - 124,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,218,9,95,103,101,116,95,115,112,101,99,83,4, - 0,0,115,40,0,0,0,0,5,4,1,10,1,14,1,2, - 1,10,1,8,1,10,1,14,2,12,1,8,1,2,1,10, - 1,4,1,6,1,8,1,8,5,14,2,12,1,6,1,122, - 20,80,97,116,104,70,105,110,100,101,114,46,95,103,101,116, - 95,115,112,101,99,99,4,0,0,0,0,0,0,0,6,0, - 0,0,4,0,0,0,67,0,0,0,115,104,0,0,0,124, - 2,100,1,107,8,114,14,116,0,106,1,125,2,124,0,106, 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114,122,0,0,0,114,37,0,0,0,114,176,0,0,0,114, - 161,0,0,0,114,2,1,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,177,0,0,0,115,4,0, - 0,115,26,0,0,0,0,6,8,1,6,1,14,1,8,1, - 6,1,10,1,6,1,4,3,6,1,16,1,6,2,6,2, - 122,20,80,97,116,104,70,105,110,100,101,114,46,102,105,110, - 100,95,115,112,101,99,99,3,0,0,0,0,0,0,0,4, - 0,0,0,3,0,0,0,67,0,0,0,115,30,0,0,0, - 124,0,106,0,124,1,124,2,131,2,125,3,124,3,100,1, - 107,8,114,24,100,1,83,0,124,3,106,1,83,0,41,2, - 122,170,102,105,110,100,32,116,104,101,32,109,111,100,117,108, - 101,32,111,110,32,115,121,115,46,112,97,116,104,32,111,114, - 32,39,112,97,116,104,39,32,98,97,115,101,100,32,111,110, - 32,115,121,115,46,112,97,116,104,95,104,111,111,107,115,32, - 97,110,100,10,32,32,32,32,32,32,32,32,115,121,115,46, - 112,97,116,104,95,105,109,112,111,114,116,101,114,95,99,97, - 99,104,101,46,10,10,32,32,32,32,32,32,32,32,84,104, - 105,115,32,109,101,116,104,111,100,32,105,115,32,100,101,112, - 114,101,99,97,116,101,100,46,32,32,85,115,101,32,102,105, - 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122,16,70,105,108,101,70,105,110,100,101,114,40,123,33,114, - 125,41,41,2,114,50,0,0,0,114,37,0,0,0,41,1, - 114,103,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,242,0,0,0,40,5,0,0,115,2,0, - 0,0,0,1,122,19,70,105,108,101,70,105,110,100,101,114, - 46,95,95,114,101,112,114,95,95,41,1,78,41,15,114,108, - 0,0,0,114,107,0,0,0,114,109,0,0,0,114,110,0, - 0,0,114,181,0,0,0,114,248,0,0,0,114,126,0,0, - 0,114,178,0,0,0,114,120,0,0,0,114,3,1,0,0, - 114,177,0,0,0,114,11,1,0,0,114,179,0,0,0,114, - 17,1,0,0,114,242,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,4,1, - 0,0,153,4,0,0,115,20,0,0,0,8,7,4,2,8, - 14,8,4,4,2,8,12,8,5,10,48,8,31,12,18,114, - 4,1,0,0,99,4,0,0,0,0,0,0,0,6,0,0, - 0,11,0,0,0,67,0,0,0,115,148,0,0,0,124,0, - 106,0,100,1,131,1,125,4,124,0,106,0,100,2,131,1, - 125,5,124,4,115,66,124,5,114,36,124,5,106,1,125,4, - 110,30,124,2,124,3,107,2,114,56,116,2,124,1,124,2, - 131,2,125,4,110,10,116,3,124,1,124,2,131,2,125,4, - 124,5,115,86,116,4,124,1,124,2,100,3,124,4,144,1, 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2,125,1,116,5,116,6,102,2,125,2,124,0,124,1,124, - 2,103,3,83,0,41,1,122,95,82,101,116,117,114,110,115, - 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, - 115,41,46,10,32,32,32,32,41,7,114,220,0,0,0,114, - 142,0,0,0,218,18,101,120,116,101,110,115,105,111,110,95, - 115,117,102,102,105,120,101,115,114,214,0,0,0,114,87,0, - 0,0,114,219,0,0,0,114,77,0,0,0,41,3,90,10, - 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, - 0,114,4,0,0,0,114,6,0,0,0,114,158,0,0,0, - 69,5,0,0,115,8,0,0,0,0,5,12,1,8,1,8, - 1,114,158,0,0,0,99,1,0,0,0,0,0,0,0,12, - 0,0,0,12,0,0,0,67,0,0,0,115,188,1,0,0, - 124,0,97,0,116,0,106,1,97,1,116,0,106,2,97,2, - 116,1,106,3,116,4,25,0,125,1,120,56,100,26,68,0, - 93,48,125,2,124,2,116,1,106,3,107,7,114,58,116,0, - 106,5,124,2,131,1,125,3,110,10,116,1,106,3,124,2, - 25,0,125,3,116,6,124,1,124,2,124,3,131,3,1,0, - 113,32,87,0,100,5,100,6,103,1,102,2,100,7,100,8, - 100,6,103,2,102,2,102,2,125,4,120,118,124,4,68,0, - 93,102,92,2,125,5,125,6,116,7,100,9,100,10,132,0, - 124,6,68,0,131,1,131,1,115,142,116,8,130,1,124,6, - 100,11,25,0,125,7,124,5,116,1,106,3,107,6,114,174, - 116,1,106,3,124,5,25,0,125,8,80,0,113,112,121,16, - 116,0,106,5,124,5,131,1,125,8,80,0,87,0,113,112, - 4,0,116,9,107,10,114,212,1,0,1,0,1,0,119,112, - 89,0,113,112,88,0,113,112,87,0,116,9,100,12,131,1, - 130,1,116,6,124,1,100,13,124,8,131,3,1,0,116,6, - 124,1,100,14,124,7,131,3,1,0,116,6,124,1,100,15, - 100,16,106,10,124,6,131,1,131,3,1,0,121,14,116,0, - 106,5,100,17,131,1,125,9,87,0,110,26,4,0,116,9, - 107,10,144,1,114,52,1,0,1,0,1,0,100,18,125,9, - 89,0,110,2,88,0,116,6,124,1,100,17,124,9,131,3, - 1,0,116,0,106,5,100,19,131,1,125,10,116,6,124,1, - 100,19,124,10,131,3,1,0,124,5,100,7,107,2,144,1, - 114,120,116,0,106,5,100,20,131,1,125,11,116,6,124,1, - 100,21,124,11,131,3,1,0,116,6,124,1,100,22,116,11, - 131,0,131,3,1,0,116,12,106,13,116,2,106,14,131,0, - 131,1,1,0,124,5,100,7,107,2,144,1,114,184,116,15, - 106,16,100,23,131,1,1,0,100,24,116,12,107,6,144,1, - 114,184,100,25,116,17,95,18,100,18,83,0,41,27,122,205, - 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, - 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4,120,118,124,4,68,0,93,102,92,2,125,5,125,6,116, + 7,100,9,100,10,132,0,124,6,68,0,131,1,131,1,115, + 142,116,8,130,1,124,6,100,11,25,0,125,7,124,5,116, + 1,106,3,107,6,114,174,116,1,106,3,124,5,25,0,125, + 8,80,0,113,112,121,16,116,0,106,5,124,5,131,1,125, + 8,80,0,87,0,113,112,4,0,116,9,107,10,114,212,1, + 0,1,0,1,0,119,112,89,0,113,112,88,0,113,112,87, + 0,116,9,100,12,131,1,130,1,116,6,124,1,100,13,124, + 8,131,3,1,0,116,6,124,1,100,14,124,7,131,3,1, + 0,116,6,124,1,100,15,100,16,106,10,124,6,131,1,131, + 3,1,0,121,14,116,0,106,5,100,17,131,1,125,9,87, + 0,110,26,4,0,116,9,107,10,144,1,114,52,1,0,1, + 0,1,0,100,18,125,9,89,0,110,2,88,0,116,6,124, + 1,100,17,124,9,131,3,1,0,116,0,106,5,100,19,131, + 1,125,10,116,6,124,1,100,19,124,10,131,3,1,0,124, + 5,100,7,107,2,144,1,114,120,116,0,106,5,100,20,131, + 1,125,11,116,6,124,1,100,21,124,11,131,3,1,0,116, + 6,124,1,100,22,116,11,131,0,131,3,1,0,116,12,106, + 13,116,2,106,14,131,0,131,1,1,0,124,5,100,7,107, + 2,144,1,114,184,116,15,106,16,100,23,131,1,1,0,100, + 24,116,12,107,6,144,1,114,184,100,25,116,17,95,18,100, + 18,83,0,41,27,122,205,83,101,116,117,112,32,116,104,101, + 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, + 32,32,32,32,114,52,0,0,0,114,63,0,0,0,218,8, + 98,117,105,108,116,105,110,115,114,140,0,0,0,90,5,112, + 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, + 0,0,0,115,26,0,0,0,124,0,93,18,125,1,116,0, + 124,1,131,1,100,0,107,2,86,0,1,0,113,2,100,1, + 83,0,41,2,114,31,0,0,0,78,41,1,114,33,0,0, + 0,41,2,114,24,0,0,0,114,81,0,0,0,114,4,0, + 0,0,114,4,0,0,0,114,6,0,0,0,114,224,0,0, + 0,109,5,0,0,115,2,0,0,0,4,0,122,25,95,115, + 101,116,117,112,46,60,108,111,99,97,108,115,62,46,60,103, + 101,110,101,120,112,114,62,114,62,0,0,0,122,30,105,109, + 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, + 0,114,27,0,0,0,114,23,0,0,0,114,32,0,0,0, + 90,7,95,116,104,114,101,97,100,78,90,8,95,119,101,97, + 107,114,101,102,90,6,119,105,110,114,101,103,114,167,0,0, + 0,114,7,0,0,0,122,4,46,112,121,119,122,6,95,100, + 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, + 115,122,7,109,97,114,115,104,97,108,41,19,114,118,0,0, + 0,114,8,0,0,0,114,143,0,0,0,114,236,0,0,0, + 114,109,0,0,0,90,18,95,98,117,105,108,116,105,110,95, + 102,114,111,109,95,110,97,109,101,114,113,0,0,0,218,3, + 97,108,108,218,14,65,115,115,101,114,116,105,111,110,69,114, + 114,111,114,114,103,0,0,0,114,28,0,0,0,114,13,0, + 0,0,114,226,0,0,0,114,147,0,0,0,114,24,1,0, + 0,114,88,0,0,0,114,161,0,0,0,114,166,0,0,0, + 114,170,0,0,0,41,12,218,17,95,98,111,111,116,115,116, + 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, + 115,90,10,98,117,105,108,116,105,110,95,111,115,114,23,0, + 0,0,114,27,0,0,0,90,9,111,115,95,109,111,100,117, + 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, + 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, + 6,95,115,101,116,117,112,84,5,0,0,115,82,0,0,0, + 0,8,4,1,6,1,6,3,10,1,10,1,10,1,12,2, + 10,1,16,3,22,1,14,2,22,1,8,1,10,1,10,1, + 4,2,2,1,10,1,6,1,14,1,12,2,8,1,12,1, + 12,1,18,3,2,1,14,1,16,2,10,1,12,3,10,1, + 12,3,10,1,10,1,12,3,14,1,14,1,10,1,10,1, + 10,1,114,32,1,0,0,99,1,0,0,0,0,0,0,0, + 2,0,0,0,3,0,0,0,67,0,0,0,115,84,0,0, + 0,116,0,124,0,131,1,1,0,116,1,131,0,125,1,116, + 2,106,3,106,4,116,5,106,6,124,1,140,0,103,1,131, + 1,1,0,116,7,106,8,100,1,107,2,114,56,116,2,106, + 9,106,10,116,11,131,1,1,0,116,2,106,9,106,10,116, + 12,131,1,1,0,116,5,124,0,95,5,116,13,124,0,95, + 13,100,2,83,0,41,3,122,41,73,110,115,116,97,108,108, + 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, + 115,46,114,27,1,0,0,78,41,14,114,32,1,0,0,114, + 159,0,0,0,114,8,0,0,0,114,253,0,0,0,114,147, + 0,0,0,114,5,1,0,0,114,18,1,0,0,114,3,0, + 0,0,114,109,0,0,0,218,9,109,101,116,97,95,112,97, + 116,104,114,161,0,0,0,114,166,0,0,0,114,248,0,0, + 0,114,215,0,0,0,41,2,114,31,1,0,0,90,17,115, + 117,112,112,111,114,116,101,100,95,108,111,97,100,101,114,115, + 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, + 8,95,105,110,115,116,97,108,108,152,5,0,0,115,16,0, + 0,0,0,2,8,1,6,1,20,1,10,1,12,1,12,4, + 6,1,114,34,1,0,0,41,1,122,3,119,105,110,41,2, + 114,1,0,0,0,114,2,0,0,0,41,1,114,49,0,0, + 0,41,1,78,41,3,78,78,78,41,3,78,78,78,41,2, + 114,62,0,0,0,114,62,0,0,0,41,1,78,41,1,78, + 41,58,114,111,0,0,0,114,12,0,0,0,90,37,95,67, + 65,83,69,95,73,78,83,69,78,83,73,84,73,86,69,95, + 80,76,65,84,70,79,82,77,83,95,66,89,84,69,83,95, + 75,69,89,114,11,0,0,0,114,13,0,0,0,114,19,0, + 0,0,114,21,0,0,0,114,30,0,0,0,114,40,0,0, + 0,114,41,0,0,0,114,45,0,0,0,114,46,0,0,0, + 114,48,0,0,0,114,58,0,0,0,218,4,116,121,112,101, + 218,8,95,95,99,111,100,101,95,95,114,142,0,0,0,114, + 17,0,0,0,114,132,0,0,0,114,16,0,0,0,114,20, + 0,0,0,90,17,95,82,65,87,95,77,65,71,73,67,95, + 78,85,77,66,69,82,114,77,0,0,0,114,76,0,0,0, + 114,88,0,0,0,114,78,0,0,0,90,23,68,69,66,85, + 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, + 114,83,0,0,0,114,89,0,0,0,114,95,0,0,0,114, + 99,0,0,0,114,101,0,0,0,114,120,0,0,0,114,127, + 0,0,0,114,139,0,0,0,114,145,0,0,0,114,148,0, + 0,0,114,153,0,0,0,218,6,111,98,106,101,99,116,114, + 160,0,0,0,114,165,0,0,0,114,166,0,0,0,114,181, + 0,0,0,114,191,0,0,0,114,207,0,0,0,114,215,0, + 0,0,114,220,0,0,0,114,226,0,0,0,114,221,0,0, + 0,114,227,0,0,0,114,246,0,0,0,114,248,0,0,0, + 114,5,1,0,0,114,23,1,0,0,114,159,0,0,0,114, + 32,1,0,0,114,34,1,0,0,114,4,0,0,0,114,4, + 0,0,0,114,4,0,0,0,114,6,0,0,0,218,8,60, + 109,111,100,117,108,101,62,8,0,0,0,115,108,0,0,0, + 4,16,4,1,4,1,2,1,6,3,8,17,8,5,8,5, + 8,6,8,12,8,10,8,9,8,5,8,7,10,22,10,117, + 16,1,12,2,4,1,4,2,6,2,6,2,8,2,16,45, + 8,34,8,19,8,12,8,12,8,28,8,17,10,55,10,12, + 10,10,8,14,6,3,4,1,14,67,14,64,14,29,16,110, + 14,41,18,45,18,16,4,3,18,53,14,60,14,42,14,127, + 0,5,14,127,0,22,10,23,8,11,8,68, }; -- cgit v1.2.1 From 9c9a45c1f0a264d3006971b8211d948d6883a05b Mon Sep 17 00:00:00 2001 From: Steve Dower Date: Thu, 8 Sep 2016 10:35:16 -0700 Subject: Issue #27781: Change file system encoding on Windows to UTF-8 (PEP 529) --- Python/bltinmodule.c | 8 +++++--- Python/pylifecycle.c | 20 ++++++++++++++++++++ Python/sysmodule.c | 50 ++++++++++++++++++++++++++++++++++++++++++++++++-- 3 files changed, 73 insertions(+), 5 deletions(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index be145609dd..252c0a7b89 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -21,16 +21,18 @@ Don't forget to modify PyUnicode_DecodeFSDefault() if you touch any of the values for Py_FileSystemDefaultEncoding! */ -#ifdef HAVE_MBCS -const char *Py_FileSystemDefaultEncoding = "mbcs"; +#if defined(__APPLE__) +const char *Py_FileSystemDefaultEncoding = "utf-8"; int Py_HasFileSystemDefaultEncoding = 1; -#elif defined(__APPLE__) +#elif defined(MS_WINDOWS) +/* may be changed by initfsencoding(), but should never be free()d */ const char *Py_FileSystemDefaultEncoding = "utf-8"; int Py_HasFileSystemDefaultEncoding = 1; #else const char *Py_FileSystemDefaultEncoding = NULL; /* set by initfsencoding() */ int Py_HasFileSystemDefaultEncoding = 0; #endif +const char *Py_FileSystemDefaultEncodeErrors = "surrogateescape"; _Py_IDENTIFIER(__builtins__); _Py_IDENTIFIER(__dict__); diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index 1896888916..3f3b614a47 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -90,6 +90,9 @@ int Py_NoUserSiteDirectory = 0; /* for -s and site.py */ 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 */ +#ifdef MS_WINDOWS +int Py_LegacyWindowsFSEncodingFlag = 0; /* Uses mbcs instead of utf-8 */ +#endif PyThreadState *_Py_Finalizing = NULL; @@ -321,6 +324,10 @@ _Py_InitializeEx_Private(int install_sigs, int install_importlib) check its value further. */ if ((p = Py_GETENV("PYTHONHASHSEED")) && *p != '\0') Py_HashRandomizationFlag = add_flag(Py_HashRandomizationFlag, p); +#ifdef MS_WINDOWS + if ((p = Py_GETENV("PYTHONLEGACYWINDOWSFSENCODING")) && *p != '\0') + Py_LegacyWindowsFSEncodingFlag = add_flag(Py_LegacyWindowsFSEncodingFlag, p); +#endif _PyRandom_Init(); @@ -958,6 +965,18 @@ initfsencoding(PyInterpreterState *interp) { PyObject *codec; +#ifdef MS_WINDOWS + if (Py_LegacyWindowsFSEncodingFlag) + { + Py_FileSystemDefaultEncoding = "mbcs"; + Py_FileSystemDefaultEncodeErrors = "replace"; + } + else + { + Py_FileSystemDefaultEncoding = "utf-8"; + Py_FileSystemDefaultEncodeErrors = "surrogatepass"; + } +#else if (Py_FileSystemDefaultEncoding == NULL) { Py_FileSystemDefaultEncoding = get_locale_encoding(); @@ -968,6 +987,7 @@ initfsencoding(PyInterpreterState *interp) interp->fscodec_initialized = 1; return 0; } +#endif /* the encoding is mbcs, utf-8 or ascii */ codec = _PyCodec_Lookup(Py_FileSystemDefaultEncoding); diff --git a/Python/sysmodule.c b/Python/sysmodule.c index a54f266030..0fe76b7a74 100644 --- a/Python/sysmodule.c +++ b/Python/sysmodule.c @@ -310,6 +310,23 @@ Return the encoding used to convert Unicode filenames in\n\ operating system filenames." ); +static PyObject * +sys_getfilesystemencodeerrors(PyObject *self) +{ + if (Py_FileSystemDefaultEncodeErrors) + return PyUnicode_FromString(Py_FileSystemDefaultEncodeErrors); + PyErr_SetString(PyExc_RuntimeError, + "filesystem encoding is not initialized"); + return NULL; +} + +PyDoc_STRVAR(getfilesystemencodeerrors_doc, + "getfilesystemencodeerrors() -> string\n\ +\n\ +Return the error mode used to convert Unicode filenames in\n\ +operating system filenames." +); + static PyObject * sys_intern(PyObject *self, PyObject *args) { @@ -866,6 +883,24 @@ sys_getwindowsversion(PyObject *self) #pragma warning(pop) +PyDoc_STRVAR(enablelegacywindowsfsencoding_doc, +"_enablelegacywindowsfsencoding()\n\ +\n\ +Changes the default filesystem encoding to mbcs:replace for consistency\n\ +with earlier versions of Python. See PEP 529 for more information.\n\ +\n\ +This is equivalent to defining the PYTHONLEGACYWINDOWSFSENCODING \n\ +environment variable before launching Python." +); + +static PyObject * +sys_enablelegacywindowsfsencoding(PyObject *self) +{ + Py_FileSystemDefaultEncoding = "mbcs"; + Py_FileSystemDefaultEncodeErrors = "replace"; + Py_RETURN_NONE; +} + #endif /* MS_WINDOWS */ #ifdef HAVE_DLOPEN @@ -1225,6 +1260,8 @@ static PyMethodDef sys_methods[] = { #endif {"getfilesystemencoding", (PyCFunction)sys_getfilesystemencoding, METH_NOARGS, getfilesystemencoding_doc}, + { "getfilesystemencodeerrors", (PyCFunction)sys_getfilesystemencodeerrors, + METH_NOARGS, getfilesystemencodeerrors_doc }, #ifdef Py_TRACE_REFS {"getobjects", _Py_GetObjects, METH_VARARGS}, #endif @@ -1240,6 +1277,8 @@ static PyMethodDef sys_methods[] = { #ifdef MS_WINDOWS {"getwindowsversion", (PyCFunction)sys_getwindowsversion, METH_NOARGS, getwindowsversion_doc}, + {"_enablelegacywindowsfsencoding", (PyCFunction)sys_enablelegacywindowsfsencoding, + METH_NOARGS, enablelegacywindowsfsencoding_doc }, #endif /* MS_WINDOWS */ {"intern", sys_intern, METH_VARARGS, intern_doc}, {"is_finalizing", sys_is_finalizing, METH_NOARGS, is_finalizing_doc}, @@ -1456,14 +1495,21 @@ version -- the version of this interpreter as a string\n\ version_info -- version information as a named tuple\n\ " ) -#ifdef MS_WINDOWS +#ifdef MS_COREDLL /* concatenating string here */ PyDoc_STR( "dllhandle -- [Windows only] integer handle of the Python DLL\n\ winver -- [Windows only] version number of the Python DLL\n\ " ) -#endif /* MS_WINDOWS */ +#endif /* MS_COREDLL */ +#ifdef MS_WINDOWS +/* concatenating string here */ +PyDoc_STR( +"_enablelegacywindowsfsencoding -- [Windows only] \n\ +" +) +#endif PyDoc_STR( "__stdin__ -- the original stdin; don't touch!\n\ __stdout__ -- the original stdout; don't touch!\n\ -- cgit v1.2.1 From 9157fe330ec0d127c07455dad7455857ad22c1c4 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Thu, 8 Sep 2016 11:12:31 -0700 Subject: Issue #28026: Raise ImportError when exec_module() exists but create_module() is missing. --- Python/importlib.h | 1794 ++++++++++++++++++++++++++-------------------------- 1 file changed, 895 insertions(+), 899 deletions(-) (limited to 'Python') diff --git a/Python/importlib.h b/Python/importlib.h index 4ba754fd15..ad73042b22 100644 --- a/Python/importlib.h +++ b/Python/importlib.h @@ -914,917 +914,913 @@ const unsigned char _Py_M__importlib[] = { 1,10,1,14,1,6,2,24,1,12,1,2,1,12,1,16, 1,6,2,8,1,24,1,2,1,12,1,16,1,6,2,24, 1,12,1,2,1,12,1,16,1,6,1,114,133,0,0,0, - 99,1,0,0,0,0,0,0,0,2,0,0,0,5,0,0, - 0,67,0,0,0,115,92,0,0,0,100,1,125,1,116,0, + 99,1,0,0,0,0,0,0,0,2,0,0,0,3,0,0, + 0,67,0,0,0,115,82,0,0,0,100,1,125,1,116,0, 124,0,106,1,100,2,131,2,114,30,124,0,106,1,106,2, - 124,0,131,1,125,1,110,30,116,0,124,0,106,1,100,3, - 131,2,114,60,116,3,106,4,100,4,116,5,100,5,100,6, - 144,1,131,2,1,0,124,1,100,1,107,8,114,78,116,6, - 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124,0,131,1,125,1,110,20,116,0,124,0,106,1,100,3, + 131,2,114,50,116,3,100,4,131,1,130,1,124,1,100,1, + 107,8,114,68,116,4,124,0,106,5,131,1,125,1,116,6, + 124,0,124,1,131,2,1,0,124,1,83,0,41,5,122,43, + 67,114,101,97,116,101,32,97,32,109,111,100,117,108,101,32, + 98,97,115,101,100,32,111,110,32,116,104,101,32,112,114,111, + 118,105,100,101,100,32,115,112,101,99,46,78,218,13,99,114, + 101,97,116,101,95,109,111,100,117,108,101,218,11,101,120,101, + 99,95,109,111,100,117,108,101,122,66,108,111,97,100,101,114, + 115,32,116,104,97,116,32,100,101,102,105,110,101,32,101,120, + 101,99,95,109,111,100,117,108,101,40,41,32,109,117,115,116, + 32,97,108,115,111,32,100,101,102,105,110,101,32,99,114,101, + 97,116,101,95,109,111,100,117,108,101,40,41,41,7,114,4, + 0,0,0,114,93,0,0,0,114,134,0,0,0,114,70,0, + 0,0,114,16,0,0,0,114,15,0,0,0,114,133,0,0, 0,41,2,114,82,0,0,0,114,83,0,0,0,114,10,0, 0,0,114,10,0,0,0,114,11,0,0,0,218,16,109,111, 100,117,108,101,95,102,114,111,109,95,115,112,101,99,41,2, - 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100,100,101,100,32,116,111,32,105,116,115,32,112,97,114,101, + 110,116,46,10,10,32,32,32,32,73,102,32,97,32,109,111, + 100,117,108,101,32,105,115,32,97,108,114,101,97,100,121,32, + 105,110,32,115,121,115,46,109,111,100,117,108,101,115,44,32, + 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, + 5,114,46,0,0,0,114,137,0,0,0,114,42,0,0,0, + 114,15,0,0,0,114,141,0,0,0,41,1,114,82,0,0, 0,114,10,0,0,0,114,10,0,0,0,114,11,0,0,0, - 114,91,0,0,0,59,2,0,0,115,16,0,0,0,0,3, - 20,1,10,1,10,1,12,2,16,2,6,1,16,2,114,91, - 0,0,0,99,2,0,0,0,0,0,0,0,4,0,0,0, - 12,0,0,0,67,0,0,0,115,194,0,0,0,124,0,106, - 0,125,2,116,1,106,2,131,0,1,0,116,3,124,2,131, - 1,143,156,1,0,116,4,106,5,106,6,124,2,131,1,124, - 1,107,9,114,64,100,1,106,7,124,2,131,1,125,3,116, - 8,124,3,100,2,124,2,144,1,131,1,130,1,124,0,106, - 9,100,3,107,8,114,120,124,0,106,10,100,3,107,8,114, - 100,116,8,100,4,100,2,124,0,106,0,144,1,131,1,130, - 1,116,11,124,0,124,1,100,5,100,6,144,1,131,2,1, - 0,124,1,83,0,116,11,124,0,124,1,100,5,100,6,144, - 1,131,2,1,0,116,12,124,0,106,9,100,7,131,2,115, - 162,124,0,106,9,106,13,124,2,131,1,1,0,110,12,124, - 0,106,9,106,14,124,1,131,1,1,0,87,0,100,3,81, - 0,82,0,88,0,116,4,106,5,124,2,25,0,83,0,41, - 8,122,70,69,120,101,99,117,116,101,32,116,104,101,32,115, - 112,101,99,39,115,32,115,112,101,99,105,102,105,101,100,32, - 109,111,100,117,108,101,32,105,110,32,97,110,32,101,120,105, - 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, - 14,109,105,115,115,105,110,103,32,108,111,97,100,101,114,114, - 129,0,0,0,84,114,135,0,0,0,41,15,114,15,0,0, - 0,114,46,0,0,0,218,12,97,99,113,117,105,114,101,95, - 108,111,99,107,114,42,0,0,0,114,14,0,0,0,114,79, - 0,0,0,114,30,0,0,0,114,38,0,0,0,114,70,0, - 0,0,114,93,0,0,0,114,106,0,0,0,114,133,0,0, - 0,114,4,0,0,0,218,11,108,111,97,100,95,109,111,100, - 117,108,101,114,135,0,0,0,41,4,114,82,0,0,0,114, - 83,0,0,0,114,15,0,0,0,218,3,109,115,103,114,10, - 0,0,0,114,10,0,0,0,114,11,0,0,0,114,80,0, - 0,0,76,2,0,0,115,32,0,0,0,0,2,6,1,8, - 1,10,1,16,1,10,1,14,1,10,1,10,1,16,2,16, - 1,4,1,16,1,12,4,14,2,22,1,114,80,0,0,0, - 99,1,0,0,0,0,0,0,0,2,0,0,0,27,0,0, - 0,67,0,0,0,115,206,0,0,0,124,0,106,0,106,1, - 124,0,106,2,131,1,1,0,116,3,106,4,124,0,106,2, - 25,0,125,1,116,5,124,1,100,1,100,0,131,3,100,0, - 107,8,114,76,121,12,124,0,106,0,124,1,95,6,87,0, - 110,20,4,0,116,7,107,10,114,74,1,0,1,0,1,0, - 89,0,110,2,88,0,116,5,124,1,100,2,100,0,131,3, - 100,0,107,8,114,154,121,40,124,1,106,8,124,1,95,9, - 116,10,124,1,100,3,131,2,115,130,124,0,106,2,106,11, - 100,4,131,1,100,5,25,0,124,1,95,9,87,0,110,20, - 4,0,116,7,107,10,114,152,1,0,1,0,1,0,89,0, - 110,2,88,0,116,5,124,1,100,6,100,0,131,3,100,0, - 107,8,114,202,121,10,124,0,124,1,95,12,87,0,110,20, - 4,0,116,7,107,10,114,200,1,0,1,0,1,0,89,0, - 110,2,88,0,124,1,83,0,41,7,78,114,85,0,0,0, - 114,130,0,0,0,114,127,0,0,0,114,117,0,0,0,114, - 19,0,0,0,114,89,0,0,0,41,13,114,93,0,0,0, - 114,143,0,0,0,114,15,0,0,0,114,14,0,0,0,114, - 79,0,0,0,114,6,0,0,0,114,85,0,0,0,114,90, - 0,0,0,114,1,0,0,0,114,130,0,0,0,114,4,0, - 0,0,114,118,0,0,0,114,89,0,0,0,41,2,114,82, - 0,0,0,114,83,0,0,0,114,10,0,0,0,114,10,0, - 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, - 108,101,101,2,0,0,115,40,0,0,0,0,4,14,2,12, - 1,16,1,2,1,12,1,14,1,6,1,16,1,2,4,8, - 1,10,1,22,1,14,1,6,1,16,1,2,1,10,1,14, - 1,6,1,114,145,0,0,0,99,1,0,0,0,0,0,0, - 0,2,0,0,0,11,0,0,0,67,0,0,0,115,120,0, - 0,0,124,0,106,0,100,0,107,9,114,30,116,1,124,0, - 106,0,100,1,131,2,115,30,116,2,124,0,131,1,83,0, - 116,3,124,0,131,1,125,1,116,4,124,1,131,1,143,56, - 1,0,124,0,106,0,100,0,107,8,114,86,124,0,106,5, - 100,0,107,8,114,98,116,6,100,2,100,3,124,0,106,7, - 144,1,131,1,130,1,110,12,124,0,106,0,106,8,124,1, - 131,1,1,0,87,0,100,0,81,0,82,0,88,0,116,9, - 106,10,124,0,106,7,25,0,83,0,41,4,78,114,135,0, - 0,0,122,14,109,105,115,115,105,110,103,32,108,111,97,100, - 101,114,114,15,0,0,0,41,11,114,93,0,0,0,114,4, - 0,0,0,114,145,0,0,0,114,141,0,0,0,114,96,0, - 0,0,114,106,0,0,0,114,70,0,0,0,114,15,0,0, - 0,114,135,0,0,0,114,14,0,0,0,114,79,0,0,0, - 41,2,114,82,0,0,0,114,83,0,0,0,114,10,0,0, - 0,114,10,0,0,0,114,11,0,0,0,218,14,95,108,111, - 97,100,95,117,110,108,111,99,107,101,100,130,2,0,0,115, - 20,0,0,0,0,2,10,2,12,1,8,2,8,1,10,1, - 10,1,10,1,18,3,22,5,114,146,0,0,0,99,1,0, - 0,0,0,0,0,0,1,0,0,0,9,0,0,0,67,0, - 0,0,115,38,0,0,0,116,0,106,1,131,0,1,0,116, - 2,124,0,106,3,131,1,143,10,1,0,116,4,124,0,131, - 1,83,0,81,0,82,0,88,0,100,1,83,0,41,2,122, - 191,82,101,116,117,114,110,32,97,32,110,101,119,32,109,111, - 100,117,108,101,32,111,98,106,101,99,116,44,32,108,111,97, - 100,101,100,32,98,121,32,116,104,101,32,115,112,101,99,39, - 115,32,108,111,97,100,101,114,46,10,10,32,32,32,32,84, - 104,101,32,109,111,100,117,108,101,32,105,115,32,110,111,116, - 32,97,100,100,101,100,32,116,111,32,105,116,115,32,112,97, - 114,101,110,116,46,10,10,32,32,32,32,73,102,32,97,32, - 109,111,100,117,108,101,32,105,115,32,97,108,114,101,97,100, - 121,32,105,110,32,115,121,115,46,109,111,100,117,108,101,115, - 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, - 78,41,5,114,46,0,0,0,114,142,0,0,0,114,42,0, - 0,0,114,15,0,0,0,114,146,0,0,0,41,1,114,82, - 0,0,0,114,10,0,0,0,114,10,0,0,0,114,11,0, - 0,0,114,81,0,0,0,153,2,0,0,115,6,0,0,0, - 0,9,8,1,12,1,114,81,0,0,0,99,0,0,0,0, - 0,0,0,0,0,0,0,0,4,0,0,0,64,0,0,0, - 115,136,0,0,0,101,0,90,1,100,0,90,2,100,1,90, - 3,101,4,100,2,100,3,132,0,131,1,90,5,101,6,100, - 19,100,5,100,6,132,1,131,1,90,7,101,6,100,20,100, - 7,100,8,132,1,131,1,90,8,101,6,100,9,100,10,132, - 0,131,1,90,9,101,6,100,11,100,12,132,0,131,1,90, - 10,101,6,101,11,100,13,100,14,132,0,131,1,131,1,90, - 12,101,6,101,11,100,15,100,16,132,0,131,1,131,1,90, - 13,101,6,101,11,100,17,100,18,132,0,131,1,131,1,90, - 14,101,6,101,15,131,1,90,16,100,4,83,0,41,21,218, - 15,66,117,105,108,116,105,110,73,109,112,111,114,116,101,114, - 122,144,77,101,116,97,32,112,97,116,104,32,105,109,112,111, - 114,116,32,102,111,114,32,98,117,105,108,116,45,105,110,32, - 109,111,100,117,108,101,115,46,10,10,32,32,32,32,65,108, - 108,32,109,101,116,104,111,100,115,32,97,114,101,32,101,105, - 116,104,101,114,32,99,108,97,115,115,32,111,114,32,115,116, - 97,116,105,99,32,109,101,116,104,111,100,115,32,116,111,32, - 97,118,111,105,100,32,116,104,101,32,110,101,101,100,32,116, - 111,10,32,32,32,32,105,110,115,116,97,110,116,105,97,116, - 101,32,116,104,101,32,99,108,97,115,115,46,10,10,32,32, - 32,32,99,1,0,0,0,0,0,0,0,1,0,0,0,2, - 0,0,0,67,0,0,0,115,12,0,0,0,100,1,106,0, - 124,0,106,1,131,1,83,0,41,2,122,115,82,101,116,117, - 114,110,32,114,101,112,114,32,102,111,114,32,116,104,101,32, - 109,111,100,117,108,101,46,10,10,32,32,32,32,32,32,32, - 32,84,104,101,32,109,101,116,104,111,100,32,105,115,32,100, - 101,112,114,101,99,97,116,101,100,46,32,32,84,104,101,32, - 105,109,112,111,114,116,32,109,97,99,104,105,110,101,114,121, - 32,100,111,101,115,32,116,104,101,32,106,111,98,32,105,116, - 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, - 117,105,108,116,45,105,110,41,62,41,2,114,38,0,0,0, - 114,1,0,0,0,41,1,114,83,0,0,0,114,10,0,0, - 0,114,10,0,0,0,114,11,0,0,0,114,86,0,0,0, - 178,2,0,0,115,2,0,0,0,0,7,122,27,66,117,105, - 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, - 0,0,4,0,0,0,5,0,0,0,67,0,0,0,115,48, - 0,0,0,124,2,100,0,107,9,114,12,100,0,83,0,116, - 0,106,1,124,1,131,1,114,40,116,2,124,1,124,0,100, - 1,100,2,144,1,131,2,83,0,110,4,100,0,83,0,100, - 0,83,0,41,3,78,114,103,0,0,0,122,8,98,117,105, - 108,116,45,105,110,41,3,114,46,0,0,0,90,10,105,115, - 95,98,117,105,108,116,105,110,114,78,0,0,0,41,4,218, - 3,99,108,115,114,71,0,0,0,218,4,112,97,116,104,218, - 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, - 99,187,2,0,0,115,10,0,0,0,0,2,8,1,4,1, - 10,1,18,2,122,25,66,117,105,108,116,105,110,73,109,112, - 111,114,116,101,114,46,102,105,110,100,95,115,112,101,99,99, - 3,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0, - 67,0,0,0,115,30,0,0,0,124,0,106,0,124,1,124, - 2,131,2,125,3,124,3,100,1,107,9,114,26,124,3,106, - 1,83,0,100,1,83,0,41,2,122,175,70,105,110,100,32, - 116,104,101,32,98,117,105,108,116,45,105,110,32,109,111,100, - 117,108,101,46,10,10,32,32,32,32,32,32,32,32,73,102, - 32,39,112,97,116,104,39,32,105,115,32,101,118,101,114,32, - 115,112,101,99,105,102,105,101,100,32,116,104,101,110,32,116, - 104,101,32,115,101,97,114,99,104,32,105,115,32,99,111,110, - 115,105,100,101,114,101,100,32,97,32,102,97,105,108,117,114, - 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, - 10,10,32,32,32,32,32,32,32,32,78,41,2,114,151,0, - 0,0,114,93,0,0,0,41,4,114,148,0,0,0,114,71, - 0,0,0,114,149,0,0,0,114,82,0,0,0,114,10,0, - 0,0,114,10,0,0,0,114,11,0,0,0,218,11,102,105, - 110,100,95,109,111,100,117,108,101,196,2,0,0,115,4,0, - 0,0,0,9,12,1,122,27,66,117,105,108,116,105,110,73, - 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, - 4,0,0,0,67,0,0,0,115,48,0,0,0,124,1,106, - 0,116,1,106,2,107,7,114,36,116,3,100,1,106,4,124, - 1,106,0,131,1,100,2,124,1,106,0,144,1,131,1,130, - 1,116,5,116,6,106,7,124,1,131,2,83,0,41,3,122, - 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, - 15,0,0,0,114,14,0,0,0,114,69,0,0,0,114,70, - 0,0,0,114,38,0,0,0,114,58,0,0,0,114,46,0, - 0,0,90,14,99,114,101,97,116,101,95,98,117,105,108,116, - 105,110,41,2,114,26,0,0,0,114,82,0,0,0,114,10, - 0,0,0,114,10,0,0,0,114,11,0,0,0,114,134,0, - 0,0,208,2,0,0,115,8,0,0,0,0,3,12,1,14, - 1,10,1,122,29,66,117,105,108,116,105,110,73,109,112,111, - 114,116,101,114,46,99,114,101,97,116,101,95,109,111,100,117, - 108,101,99,2,0,0,0,0,0,0,0,2,0,0,0,3, - 0,0,0,67,0,0,0,115,16,0,0,0,116,0,116,1, - 106,2,124,1,131,2,1,0,100,1,83,0,41,2,122,22, - 69,120,101,99,32,97,32,98,117,105,108,116,45,105,110,32, - 109,111,100,117,108,101,78,41,3,114,58,0,0,0,114,46, - 0,0,0,90,12,101,120,101,99,95,98,117,105,108,116,105, - 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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, - 137,0,0,0,41,12,114,118,0,0,0,114,14,0,0,0, - 114,79,0,0,0,114,58,0,0,0,114,127,0,0,0,114, - 90,0,0,0,218,8,95,69,82,82,95,77,83,71,114,38, - 0,0,0,218,19,77,111,100,117,108,101,78,111,116,70,111, - 117,110,100,69,114,114,111,114,114,173,0,0,0,114,146,0, - 0,0,114,5,0,0,0,41,8,114,15,0,0,0,218,7, - 105,109,112,111,114,116,95,114,149,0,0,0,114,119,0,0, - 0,90,13,112,97,114,101,110,116,95,109,111,100,117,108,101, - 114,144,0,0,0,114,82,0,0,0,114,83,0,0,0,114, - 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, - 110,108,111,99,107,101,100,164,3,0,0,115,42,0,0,0, - 0,1,4,1,14,1,4,1,10,1,10,2,10,1,10,1, - 10,1,2,1,10,1,14,1,16,1,22,1,10,1,8,1, - 22,2,8,1,4,2,10,1,22,1,114,182,0,0,0,99, - 2,0,0,0,0,0,0,0,2,0,0,0,10,0,0,0, - 67,0,0,0,115,30,0,0,0,116,0,124,0,131,1,143, - 12,1,0,116,1,124,0,124,1,131,2,83,0,81,0,82, - 0,88,0,100,1,83,0,41,2,122,54,70,105,110,100,32, - 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, - 46,78,41,2,114,42,0,0,0,114,182,0,0,0,41,2, - 114,15,0,0,0,114,181,0,0,0,114,10,0,0,0,114, - 10,0,0,0,114,11,0,0,0,218,14,95,102,105,110,100, - 95,97,110,100,95,108,111,97,100,191,3,0,0,115,4,0, - 0,0,0,2,10,1,114,183,0,0,0,114,19,0,0,0, - 99,3,0,0,0,0,0,0,0,5,0,0,0,4,0,0, - 0,67,0,0,0,115,122,0,0,0,116,0,124,0,124,1, - 124,2,131,3,1,0,124,2,100,1,107,4,114,32,116,1, - 124,0,124,1,124,2,131,3,125,0,116,2,106,3,131,0, - 1,0,124,0,116,4,106,5,107,7,114,60,116,6,124,0, - 116,7,131,2,83,0,116,4,106,5,124,0,25,0,125,3, - 124,3,100,2,107,8,114,110,116,2,106,8,131,0,1,0, - 100,3,106,9,124,0,131,1,125,4,116,10,124,4,100,4, - 124,0,144,1,131,1,130,1,116,11,124,0,131,1,1,0, - 124,3,83,0,41,5,97,50,1,0,0,73,109,112,111,114, - 116,32,97,110,100,32,114,101,116,117,114,110,32,116,104,101, - 32,109,111,100,117,108,101,32,98,97,115,101,100,32,111,110, - 32,105,116,115,32,110,97,109,101,44,32,116,104,101,32,112, - 97,99,107,97,103,101,32,116,104,101,32,99,97,108,108,32, - 105,115,10,32,32,32,32,98,101,105,110,103,32,109,97,100, - 101,32,102,114,111,109,44,32,97,110,100,32,116,104,101,32, - 108,101,118,101,108,32,97,100,106,117,115,116,109,101,110,116, - 46,10,10,32,32,32,32,84,104,105,115,32,102,117,110,99, - 116,105,111,110,32,114,101,112,114,101,115,101,110,116,115,32, - 116,104,101,32,103,114,101,97,116,101,115,116,32,99,111,109, - 109,111,110,32,100,101,110,111,109,105,110,97,116,111,114,32, - 111,102,32,102,117,110,99,116,105,111,110,97,108,105,116,121, - 10,32,32,32,32,98,101,116,119,101,101,110,32,105,109,112, - 111,114,116,95,109,111,100,117,108,101,32,97,110,100,32,95, - 95,105,109,112,111,114,116,95,95,46,32,84,104,105,115,32, - 105,110,99,108,117,100,101,115,32,115,101,116,116,105,110,103, - 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, - 105,100,32,110,111,116,46,10,10,32,32,32,32,114,19,0, - 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, - 0,0,41,12,114,178,0,0,0,114,168,0,0,0,114,46, - 0,0,0,114,142,0,0,0,114,14,0,0,0,114,79,0, - 0,0,114,183,0,0,0,218,11,95,103,99,100,95,105,109, - 112,111,114,116,114,47,0,0,0,114,38,0,0,0,114,180, - 0,0,0,114,56,0,0,0,41,5,114,15,0,0,0,114, - 166,0,0,0,114,167,0,0,0,114,83,0,0,0,114,67, - 0,0,0,114,10,0,0,0,114,10,0,0,0,114,11,0, - 0,0,114,184,0,0,0,197,3,0,0,115,28,0,0,0, - 0,9,12,1,8,1,12,1,8,1,10,1,10,1,10,1, - 8,1,8,1,4,1,6,1,14,1,8,1,114,184,0,0, - 0,99,3,0,0,0,0,0,0,0,6,0,0,0,17,0, - 0,0,67,0,0,0,115,164,0,0,0,116,0,124,0,100, - 1,131,2,114,160,100,2,124,1,107,6,114,58,116,1,124, - 1,131,1,125,1,124,1,106,2,100,2,131,1,1,0,116, - 0,124,0,100,3,131,2,114,58,124,1,106,3,124,0,106, - 4,131,1,1,0,120,100,124,1,68,0,93,92,125,3,116, - 0,124,0,124,3,131,2,115,64,100,4,106,5,124,0,106, - 6,124,3,131,2,125,4,121,14,116,7,124,2,124,4,131, - 2,1,0,87,0,113,64,4,0,116,8,107,10,114,154,1, - 0,125,5,1,0,122,20,124,5,106,9,124,4,107,2,114, - 136,119,64,130,0,87,0,89,0,100,5,100,5,125,5,126, - 5,88,0,113,64,88,0,113,64,87,0,124,0,83,0,41, - 6,122,238,70,105,103,117,114,101,32,111,117,116,32,119,104, - 97,116,32,95,95,105,109,112,111,114,116,95,95,32,115,104, - 111,117,108,100,32,114,101,116,117,114,110,46,10,10,32,32, - 32,32,84,104,101,32,105,109,112,111,114,116,95,32,112,97, - 114,97,109,101,116,101,114,32,105,115,32,97,32,99,97,108, - 108,97,98,108,101,32,119,104,105,99,104,32,116,97,107,101, - 115,32,116,104,101,32,110,97,109,101,32,111,102,32,109,111, - 100,117,108,101,32,116,111,10,32,32,32,32,105,109,112,111, - 114,116,46,32,73,116,32,105,115,32,114,101,113,117,105,114, - 101,100,32,116,111,32,100,101,99,111,117,112,108,101,32,116, - 104,101,32,102,117,110,99,116,105,111,110,32,102,114,111,109, - 32,97,115,115,117,109,105,110,103,32,105,109,112,111,114,116, - 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, - 32,114,127,0,0,0,250,1,42,218,7,95,95,97,108,108, - 95,95,122,5,123,125,46,123,125,78,41,10,114,4,0,0, - 0,114,126,0,0,0,218,6,114,101,109,111,118,101,218,6, - 101,120,116,101,110,100,114,186,0,0,0,114,38,0,0,0, - 114,1,0,0,0,114,58,0,0,0,114,180,0,0,0,114, - 15,0,0,0,41,6,114,83,0,0,0,218,8,102,114,111, - 109,108,105,115,116,114,181,0,0,0,218,1,120,90,9,102, - 114,111,109,95,110,97,109,101,90,3,101,120,99,114,10,0, - 0,0,114,10,0,0,0,114,11,0,0,0,218,16,95,104, - 97,110,100,108,101,95,102,114,111,109,108,105,115,116,222,3, - 0,0,115,32,0,0,0,0,10,10,1,8,1,8,1,10, - 1,10,1,12,1,10,1,10,1,14,1,2,1,14,1,16, - 4,10,1,2,1,24,1,114,191,0,0,0,99,1,0,0, - 0,0,0,0,0,3,0,0,0,6,0,0,0,67,0,0, - 0,115,154,0,0,0,124,0,106,0,100,1,131,1,125,1, - 124,0,106,0,100,2,131,1,125,2,124,1,100,3,107,9, - 114,86,124,2,100,3,107,9,114,80,124,1,124,2,106,1, - 107,3,114,80,116,2,106,3,100,4,124,1,155,2,100,5, - 124,2,106,1,155,2,100,6,157,5,116,4,100,7,100,8, - 144,1,131,2,1,0,124,1,83,0,110,64,124,2,100,3, - 107,9,114,102,124,2,106,1,83,0,110,48,116,2,106,3, - 100,9,116,4,100,7,100,8,144,1,131,2,1,0,124,0, - 100,10,25,0,125,1,100,11,124,0,107,7,114,150,124,1, - 106,5,100,12,131,1,100,13,25,0,125,1,124,1,83,0, - 41,14,122,167,67,97,108,99,117,108,97,116,101,32,119,104, - 97,116,32,95,95,112,97,99,107,97,103,101,95,95,32,115, - 104,111,117,108,100,32,98,101,46,10,10,32,32,32,32,95, - 95,112,97,99,107,97,103,101,95,95,32,105,115,32,110,111, - 116,32,103,117,97,114,97,110,116,101,101,100,32,116,111,32, - 98,101,32,100,101,102,105,110,101,100,32,111,114,32,99,111, - 117,108,100,32,98,101,32,115,101,116,32,116,111,32,78,111, - 110,101,10,32,32,32,32,116,111,32,114,101,112,114,101,115, - 101,110,116,32,116,104,97,116,32,105,116,115,32,112,114,111, - 112,101,114,32,118,97,108,117,101,32,105,115,32,117,110,107, - 110,111,119,110,46,10,10,32,32,32,32,114,130,0,0,0, - 114,89,0,0,0,78,122,32,95,95,112,97,99,107,97,103, - 101,95,95,32,33,61,32,95,95,115,112,101,99,95,95,46, - 112,97,114,101,110,116,32,40,122,4,32,33,61,32,250,1, - 41,114,136,0,0,0,233,3,0,0,0,122,89,99,97,110, - 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, - 112,97,116,104,95,95,114,1,0,0,0,114,127,0,0,0, - 114,117,0,0,0,114,19,0,0,0,41,6,114,30,0,0, - 0,114,119,0,0,0,114,138,0,0,0,114,139,0,0,0, - 114,172,0,0,0,114,118,0,0,0,41,3,218,7,103,108, - 111,98,97,108,115,114,166,0,0,0,114,82,0,0,0,114, - 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, - 95,253,3,0,0,115,30,0,0,0,0,7,10,1,10,1, - 8,1,18,1,22,2,12,1,6,1,8,1,8,2,6,2, - 12,1,8,1,8,1,14,1,114,195,0,0,0,99,5,0, - 0,0,0,0,0,0,9,0,0,0,5,0,0,0,67,0, - 0,0,115,170,0,0,0,124,4,100,1,107,2,114,18,116, - 0,124,0,131,1,125,5,110,36,124,1,100,2,107,9,114, - 30,124,1,110,2,105,0,125,6,116,1,124,6,131,1,125, - 7,116,0,124,0,124,7,124,4,131,3,125,5,124,3,115, - 154,124,4,100,1,107,2,114,86,116,0,124,0,106,2,100, - 3,131,1,100,1,25,0,131,1,83,0,113,166,124,0,115, - 96,124,5,83,0,113,166,116,3,124,0,131,1,116,3,124, - 0,106,2,100,3,131,1,100,1,25,0,131,1,24,0,125, - 8,116,4,106,5,124,5,106,6,100,2,116,3,124,5,106, - 6,131,1,124,8,24,0,133,2,25,0,25,0,83,0,110, - 12,116,7,124,5,124,3,116,0,131,3,83,0,100,2,83, - 0,41,4,97,215,1,0,0,73,109,112,111,114,116,32,97, - 32,109,111,100,117,108,101,46,10,10,32,32,32,32,84,104, - 101,32,39,103,108,111,98,97,108,115,39,32,97,114,103,117, - 109,101,110,116,32,105,115,32,117,115,101,100,32,116,111,32, - 105,110,102,101,114,32,119,104,101,114,101,32,116,104,101,32, - 105,109,112,111,114,116,32,105,115,32,111,99,99,117,114,114, - 105,110,103,32,102,114,111,109,10,32,32,32,32,116,111,32, - 104,97,110,100,108,101,32,114,101,108,97,116,105,118,101,32, - 105,109,112,111,114,116,115,46,32,84,104,101,32,39,108,111, - 99,97,108,115,39,32,97,114,103,117,109,101,110,116,32,105, - 115,32,105,103,110,111,114,101,100,46,32,84,104,101,10,32, - 32,32,32,39,102,114,111,109,108,105,115,116,39,32,97,114, - 103,117,109,101,110,116,32,115,112,101,99,105,102,105,101,115, - 32,119,104,97,116,32,115,104,111,117,108,100,32,101,120,105, - 115,116,32,97,115,32,97,116,116,114,105,98,117,116,101,115, - 32,111,110,32,116,104,101,32,109,111,100,117,108,101,10,32, - 32,32,32,98,101,105,110,103,32,105,109,112,111,114,116,101, - 100,32,40,101,46,103,46,32,96,96,102,114,111,109,32,109, - 111,100,117,108,101,32,105,109,112,111,114,116,32,60,102,114, - 111,109,108,105,115,116,62,96,96,41,46,32,32,84,104,101, - 32,39,108,101,118,101,108,39,10,32,32,32,32,97,114,103, - 117,109,101,110,116,32,114,101,112,114,101,115,101,110,116,115, - 32,116,104,101,32,112,97,99,107,97,103,101,32,108,111,99, - 97,116,105,111,110,32,116,111,32,105,109,112,111,114,116,32, - 102,114,111,109,32,105,110,32,97,32,114,101,108,97,116,105, - 118,101,10,32,32,32,32,105,109,112,111,114,116,32,40,101, - 46,103,46,32,96,96,102,114,111,109,32,46,46,112,107,103, - 32,105,109,112,111,114,116,32,109,111,100,96,96,32,119,111, - 117,108,100,32,104,97,118,101,32,97,32,39,108,101,118,101, - 108,39,32,111,102,32,50,41,46,10,10,32,32,32,32,114, - 19,0,0,0,78,114,117,0,0,0,41,8,114,184,0,0, - 0,114,195,0,0,0,218,9,112,97,114,116,105,116,105,111, - 110,114,164,0,0,0,114,14,0,0,0,114,79,0,0,0, - 114,1,0,0,0,114,191,0,0,0,41,9,114,15,0,0, - 0,114,194,0,0,0,218,6,108,111,99,97,108,115,114,189, - 0,0,0,114,167,0,0,0,114,83,0,0,0,90,8,103, - 108,111,98,97,108,115,95,114,166,0,0,0,90,7,99,117, - 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, - 24,4,0,0,115,26,0,0,0,0,11,8,1,10,2,16, - 1,8,1,12,1,4,3,8,1,20,1,4,1,6,4,26, - 3,32,2,114,198,0,0,0,99,1,0,0,0,0,0,0, - 0,2,0,0,0,3,0,0,0,67,0,0,0,115,38,0, - 0,0,116,0,106,1,124,0,131,1,125,1,124,1,100,0, - 107,8,114,30,116,2,100,1,124,0,23,0,131,1,130,1, - 116,3,124,1,131,1,83,0,41,2,78,122,25,110,111,32, - 98,117,105,108,116,45,105,110,32,109,111,100,117,108,101,32, - 110,97,109,101,100,32,41,4,114,147,0,0,0,114,151,0, - 0,0,114,70,0,0,0,114,146,0,0,0,41,2,114,15, - 0,0,0,114,82,0,0,0,114,10,0,0,0,114,10,0, - 0,0,114,11,0,0,0,218,18,95,98,117,105,108,116,105, - 110,95,102,114,111,109,95,110,97,109,101,59,4,0,0,115, - 8,0,0,0,0,1,10,1,8,1,12,1,114,199,0,0, - 0,99,2,0,0,0,0,0,0,0,12,0,0,0,12,0, - 0,0,67,0,0,0,115,244,0,0,0,124,1,97,0,124, - 0,97,1,116,2,116,1,131,1,125,2,120,86,116,1,106, - 3,106,4,131,0,68,0,93,72,92,2,125,3,125,4,116, - 5,124,4,124,2,131,2,114,28,124,3,116,1,106,6,107, - 6,114,62,116,7,125,5,110,18,116,0,106,8,124,3,131, - 1,114,28,116,9,125,5,110,2,113,28,116,10,124,4,124, - 5,131,2,125,6,116,11,124,6,124,4,131,2,1,0,113, - 28,87,0,116,1,106,3,116,12,25,0,125,7,120,54,100, - 5,68,0,93,46,125,8,124,8,116,1,106,3,107,7,114, - 144,116,13,124,8,131,1,125,9,110,10,116,1,106,3,124, - 8,25,0,125,9,116,14,124,7,124,8,124,9,131,3,1, - 0,113,120,87,0,121,12,116,13,100,2,131,1,125,10,87, - 0,110,24,4,0,116,15,107,10,114,206,1,0,1,0,1, - 0,100,3,125,10,89,0,110,2,88,0,116,14,124,7,100, - 2,124,10,131,3,1,0,116,13,100,4,131,1,125,11,116, - 14,124,7,100,4,124,11,131,3,1,0,100,3,83,0,41, - 6,122,250,83,101,116,117,112,32,105,109,112,111,114,116,108, - 105,98,32,98,121,32,105,109,112,111,114,116,105,110,103,32, - 110,101,101,100,101,100,32,98,117,105,108,116,45,105,110,32, - 109,111,100,117,108,101,115,32,97,110,100,32,105,110,106,101, - 99,116,105,110,103,32,116,104,101,109,10,32,32,32,32,105, - 110,116,111,32,116,104,101,32,103,108,111,98,97,108,32,110, - 97,109,101,115,112,97,99,101,46,10,10,32,32,32,32,65, - 115,32,115,121,115,32,105,115,32,110,101,101,100,101,100,32, - 102,111,114,32,115,121,115,46,109,111,100,117,108,101,115,32, - 97,99,99,101,115,115,32,97,110,100,32,95,105,109,112,32, - 105,115,32,110,101,101,100,101,100,32,116,111,32,108,111,97, - 100,32,98,117,105,108,116,45,105,110,10,32,32,32,32,109, - 111,100,117,108,101,115,44,32,116,104,111,115,101,32,116,119, - 111,32,109,111,100,117,108,101,115,32,109,117,115,116,32,98, - 101,32,101,120,112,108,105,99,105,116,108,121,32,112,97,115, - 115,101,100,32,105,110,46,10,10,32,32,32,32,114,138,0, - 0,0,114,20,0,0,0,78,114,55,0,0,0,41,1,122, - 9,95,119,97,114,110,105,110,103,115,41,16,114,46,0,0, - 0,114,14,0,0,0,114,13,0,0,0,114,79,0,0,0, - 218,5,105,116,101,109,115,114,174,0,0,0,114,69,0,0, - 0,114,147,0,0,0,114,75,0,0,0,114,157,0,0,0, - 114,128,0,0,0,114,133,0,0,0,114,1,0,0,0,114, - 199,0,0,0,114,5,0,0,0,114,70,0,0,0,41,12, - 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, - 101,95,116,121,112,101,114,15,0,0,0,114,83,0,0,0, - 114,93,0,0,0,114,82,0,0,0,90,11,115,101,108,102, - 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, - 0,0,0,218,6,95,115,101,116,117,112,66,4,0,0,115, - 50,0,0,0,0,9,4,1,4,3,8,1,20,1,10,1, - 10,1,6,1,10,1,6,2,2,1,10,1,14,3,10,1, - 10,1,10,1,10,2,10,1,16,3,2,1,12,1,14,2, - 10,1,12,3,8,1,114,203,0,0,0,99,2,0,0,0, - 0,0,0,0,3,0,0,0,3,0,0,0,67,0,0,0, - 115,66,0,0,0,116,0,124,0,124,1,131,2,1,0,116, - 1,106,2,106,3,116,4,131,1,1,0,116,1,106,2,106, - 3,116,5,131,1,1,0,100,1,100,2,108,6,125,2,124, - 2,97,7,124,2,106,8,116,1,106,9,116,10,25,0,131, - 1,1,0,100,2,83,0,41,3,122,50,73,110,115,116,97, - 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, - 111,110,32,111,102,32,105,109,112,111,114,116,46,114,19,0, - 0,0,78,41,11,114,203,0,0,0,114,14,0,0,0,114, - 171,0,0,0,114,109,0,0,0,114,147,0,0,0,114,157, - 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, - 115,0,0,0,218,8,95,105,110,115,116,97,108,108,114,79, - 0,0,0,114,1,0,0,0,41,3,114,201,0,0,0,114, - 202,0,0,0,114,204,0,0,0,114,10,0,0,0,114,10, - 0,0,0,114,11,0,0,0,114,205,0,0,0,113,4,0, - 0,115,12,0,0,0,0,2,10,2,12,1,12,3,8,1, - 4,1,114,205,0,0,0,41,2,78,78,41,1,78,41,2, - 78,114,19,0,0,0,41,50,114,3,0,0,0,114,115,0, - 0,0,114,12,0,0,0,114,16,0,0,0,114,51,0,0, - 0,114,29,0,0,0,114,36,0,0,0,114,17,0,0,0, - 114,18,0,0,0,114,41,0,0,0,114,42,0,0,0,114, - 45,0,0,0,114,56,0,0,0,114,58,0,0,0,114,68, - 0,0,0,114,74,0,0,0,114,77,0,0,0,114,84,0, - 0,0,114,95,0,0,0,114,96,0,0,0,114,102,0,0, - 0,114,78,0,0,0,218,6,111,98,106,101,99,116,90,9, - 95,80,79,80,85,76,65,84,69,114,128,0,0,0,114,133, - 0,0,0,114,141,0,0,0,114,91,0,0,0,114,80,0, - 0,0,114,145,0,0,0,114,146,0,0,0,114,81,0,0, - 0,114,147,0,0,0,114,157,0,0,0,114,162,0,0,0, - 114,168,0,0,0,114,170,0,0,0,114,173,0,0,0,114, - 178,0,0,0,90,15,95,69,82,82,95,77,83,71,95,80, - 82,69,70,73,88,114,179,0,0,0,114,182,0,0,0,114, - 183,0,0,0,114,184,0,0,0,114,191,0,0,0,114,195, - 0,0,0,114,198,0,0,0,114,199,0,0,0,114,203,0, - 0,0,114,205,0,0,0,114,10,0,0,0,114,10,0,0, - 0,114,10,0,0,0,114,11,0,0,0,218,8,60,109,111, - 100,117,108,101,62,8,0,0,0,115,94,0,0,0,4,17, - 4,2,8,8,8,7,4,2,4,3,16,4,14,68,14,21, - 14,19,8,19,8,19,8,11,14,8,8,11,8,12,8,16, - 8,36,14,27,14,101,16,26,6,3,10,45,14,60,8,18, - 8,17,8,25,8,29,8,23,8,16,14,73,14,77,14,13, - 8,9,8,9,10,47,8,20,4,1,8,2,8,27,8,6, - 10,25,8,31,8,27,18,35,8,7,8,47, + 6,95,115,101,116,117,112,65,4,0,0,115,50,0,0,0, + 0,9,4,1,4,3,8,1,20,1,10,1,10,1,6,1, + 10,1,6,2,2,1,10,1,14,3,10,1,10,1,10,1, + 10,2,10,1,16,3,2,1,12,1,14,2,10,1,12,3, + 8,1,114,201,0,0,0,99,2,0,0,0,0,0,0,0, + 3,0,0,0,3,0,0,0,67,0,0,0,115,66,0,0, + 0,116,0,124,0,124,1,131,2,1,0,116,1,106,2,106, + 3,116,4,131,1,1,0,116,1,106,2,106,3,116,5,131, + 1,1,0,100,1,100,2,108,6,125,2,124,2,97,7,124, + 2,106,8,116,1,106,9,116,10,25,0,131,1,1,0,100, + 2,83,0,41,3,122,50,73,110,115,116,97,108,108,32,105, + 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, + 102,32,105,109,112,111,114,116,46,114,19,0,0,0,78,41, + 11,114,201,0,0,0,114,14,0,0,0,114,166,0,0,0, + 114,109,0,0,0,114,142,0,0,0,114,152,0,0,0,218, + 26,95,102,114,111,122,101,110,95,105,109,112,111,114,116,108, + 105,98,95,101,120,116,101,114,110,97,108,114,115,0,0,0, + 218,8,95,105,110,115,116,97,108,108,114,79,0,0,0,114, + 1,0,0,0,41,3,114,199,0,0,0,114,200,0,0,0, + 114,202,0,0,0,114,10,0,0,0,114,10,0,0,0,114, + 11,0,0,0,114,203,0,0,0,112,4,0,0,115,12,0, + 0,0,0,2,10,2,12,1,12,3,8,1,4,1,114,203, + 0,0,0,41,2,78,78,41,1,78,41,2,78,114,19,0, + 0,0,41,50,114,3,0,0,0,114,115,0,0,0,114,12, + 0,0,0,114,16,0,0,0,114,51,0,0,0,114,29,0, + 0,0,114,36,0,0,0,114,17,0,0,0,114,18,0,0, + 0,114,41,0,0,0,114,42,0,0,0,114,45,0,0,0, + 114,56,0,0,0,114,58,0,0,0,114,68,0,0,0,114, + 74,0,0,0,114,77,0,0,0,114,84,0,0,0,114,95, + 0,0,0,114,96,0,0,0,114,102,0,0,0,114,78,0, + 0,0,218,6,111,98,106,101,99,116,90,9,95,80,79,80, + 85,76,65,84,69,114,128,0,0,0,114,133,0,0,0,114, + 136,0,0,0,114,91,0,0,0,114,80,0,0,0,114,140, + 0,0,0,114,141,0,0,0,114,81,0,0,0,114,142,0, + 0,0,114,152,0,0,0,114,157,0,0,0,114,163,0,0, + 0,114,165,0,0,0,114,170,0,0,0,114,175,0,0,0, + 90,15,95,69,82,82,95,77,83,71,95,80,82,69,70,73, + 88,114,177,0,0,0,114,180,0,0,0,114,181,0,0,0, + 114,182,0,0,0,114,189,0,0,0,114,193,0,0,0,114, + 196,0,0,0,114,197,0,0,0,114,201,0,0,0,114,203, + 0,0,0,114,10,0,0,0,114,10,0,0,0,114,10,0, + 0,0,114,11,0,0,0,218,8,60,109,111,100,117,108,101, + 62,8,0,0,0,115,94,0,0,0,4,17,4,2,8,8, + 8,7,4,2,4,3,16,4,14,68,14,21,14,19,8,19, + 8,19,8,11,14,8,8,11,8,12,8,16,8,36,14,27, + 14,101,16,26,6,3,10,45,14,60,8,17,8,17,8,25, + 8,29,8,23,8,16,14,73,14,77,14,13,8,9,8,9, + 10,47,8,20,4,1,8,2,8,27,8,6,10,25,8,31, + 8,27,18,35,8,7,8,47, }; -- cgit v1.2.1 From 0b262da03401df836e0d2cd8b20412aeeaec6af8 Mon Sep 17 00:00:00 2001 From: Steve Dower Date: Thu, 8 Sep 2016 11:21:54 -0700 Subject: Issue #23524: Finish removing _PyVerify_fd from sources --- Python/fileutils.c | 128 ++------------------------------------------------- Python/pylifecycle.c | 2 +- 2 files changed, 5 insertions(+), 125 deletions(-) (limited to 'Python') diff --git a/Python/fileutils.c b/Python/fileutils.c index 06531d9726..7ce3b63306 100644 --- a/Python/fileutils.c +++ b/Python/fileutils.c @@ -44,7 +44,7 @@ _Py_device_encoding(int fd) #endif int valid; _Py_BEGIN_SUPPRESS_IPH - valid = _PyVerify_fd(fd) && isatty(fd); + valid = isatty(fd); _Py_END_SUPPRESS_IPH if (!valid) Py_RETURN_NONE; @@ -613,13 +613,9 @@ _Py_fstat_noraise(int fd, struct _Py_stat_struct *status) HANDLE h; int type; - if (!_PyVerify_fd(fd)) - h = INVALID_HANDLE_VALUE; - else { - _Py_BEGIN_SUPPRESS_IPH - h = (HANDLE)_get_osfhandle(fd); - _Py_END_SUPPRESS_IPH - } + _Py_BEGIN_SUPPRESS_IPH + h = (HANDLE)_get_osfhandle(fd); + _Py_END_SUPPRESS_IPH if (h == INVALID_HANDLE_VALUE) { /* errno is already set by _get_osfhandle, but we also set @@ -742,12 +738,6 @@ get_inheritable(int fd, int raise) HANDLE handle; DWORD flags; - if (!_PyVerify_fd(fd)) { - if (raise) - PyErr_SetFromErrno(PyExc_OSError); - return -1; - } - _Py_BEGIN_SUPPRESS_IPH handle = (HANDLE)_get_osfhandle(fd); _Py_END_SUPPRESS_IPH @@ -819,12 +809,6 @@ set_inheritable(int fd, int inheritable, int raise, int *atomic_flag_works) } #ifdef MS_WINDOWS - if (!_PyVerify_fd(fd)) { - if (raise) - PyErr_SetFromErrno(PyExc_OSError); - return -1; - } - _Py_BEGIN_SUPPRESS_IPH handle = (HANDLE)_get_osfhandle(fd); _Py_END_SUPPRESS_IPH @@ -1190,14 +1174,6 @@ _Py_read(int fd, void *buf, size_t count) * handler raised an exception. */ assert(!PyErr_Occurred()); - if (!_PyVerify_fd(fd)) { - /* save/restore errno because PyErr_SetFromErrno() can modify it */ - err = errno; - PyErr_SetFromErrno(PyExc_OSError); - errno = err; - return -1; - } - #ifdef MS_WINDOWS if (count > INT_MAX) { /* On Windows, the count parameter of read() is an int */ @@ -1251,16 +1227,6 @@ _Py_write_impl(int fd, const void *buf, size_t count, int gil_held) int err; int async_err = 0; - if (!_PyVerify_fd(fd)) { - if (gil_held) { - /* save/restore errno because PyErr_SetFromErrno() can modify it */ - err = errno; - PyErr_SetFromErrno(PyExc_OSError); - errno = err; - } - return -1; - } - _Py_BEGIN_SUPPRESS_IPH #ifdef MS_WINDOWS if (count > 32767 && isatty(fd)) { @@ -1497,11 +1463,6 @@ _Py_dup(int fd) assert(PyGILState_Check()); #endif - if (!_PyVerify_fd(fd)) { - PyErr_SetFromErrno(PyExc_OSError); - return -1; - } - #ifdef MS_WINDOWS _Py_BEGIN_SUPPRESS_IPH handle = (HANDLE)_get_osfhandle(fd); @@ -1624,84 +1585,3 @@ error: return -1; } #endif - -#if defined _MSC_VER && _MSC_VER >= 1400 && _MSC_VER < 1900 -/* Legacy implementation of _PyVerify_fd while transitioning to - * MSVC 14.0. This should eventually be removed. (issue23524) - */ - -/* Microsoft CRT in VS2005 and higher will verify that a filehandle is - * valid and raise an assertion if it isn't. - * Normally, an invalid fd is likely to be a C program error and therefore - * an assertion can be useful, but it does contradict the POSIX standard - * which for write(2) states: - * "Otherwise, -1 shall be returned and errno set to indicate the error." - * "[EBADF] The fildes argument is not a valid file descriptor open for - * writing." - * Furthermore, python allows the user to enter any old integer - * as a fd and should merely raise a python exception on error. - * The Microsoft CRT doesn't provide an official way to check for the - * validity of a file descriptor, but we can emulate its internal behaviour - * by using the exported __pinfo data member and knowledge of the - * internal structures involved. - * The structures below must be updated for each version of visual studio - * according to the file internal.h in the CRT source, until MS comes - * up with a less hacky way to do this. - * (all of this is to avoid globally modifying the CRT behaviour using - * _set_invalid_parameter_handler() and _CrtSetReportMode()) - */ -/* The actual size of the structure is determined at runtime. - * Only the first items must be present. - */ -typedef struct { - intptr_t osfhnd; - char osfile; -} my_ioinfo; - -extern __declspec(dllimport) char * __pioinfo[]; -#define IOINFO_L2E 5 -#define IOINFO_ARRAYS 64 -#define IOINFO_ARRAY_ELTS (1 << IOINFO_L2E) -#define _NHANDLE_ (IOINFO_ARRAYS * IOINFO_ARRAY_ELTS) -#define FOPEN 0x01 -#define _NO_CONSOLE_FILENO (intptr_t)-2 - -/* This function emulates what the windows CRT does to validate file handles */ -int -_PyVerify_fd(int fd) -{ - const int i1 = fd >> IOINFO_L2E; - const int i2 = fd & ((1 << IOINFO_L2E) - 1); - - static size_t sizeof_ioinfo = 0; - - /* Determine the actual size of the ioinfo structure, - * as used by the CRT loaded in memory - */ - if (sizeof_ioinfo == 0 && __pioinfo[0] != NULL) { - sizeof_ioinfo = _msize(__pioinfo[0]) / IOINFO_ARRAY_ELTS; - } - if (sizeof_ioinfo == 0) { - /* This should not happen... */ - goto fail; - } - - /* See that it isn't a special CLEAR fileno */ - if (fd != _NO_CONSOLE_FILENO) { - /* Microsoft CRT would check that 0<=fd<_nhandle but we can't do that. Instead - * we check pointer validity and other info - */ - if (0 <= i1 && i1 < IOINFO_ARRAYS && __pioinfo[i1] != NULL) { - /* finally, check that the file is open */ - my_ioinfo* info = (my_ioinfo*)(__pioinfo[i1] + i2 * sizeof_ioinfo); - if (info->osfile & FOPEN) { - return 1; - } - } - } - fail: - errno = EBADF; - return 0; -} - -#endif /* defined _MSC_VER && _MSC_VER >= 1400 && _MSC_VER < 1900 */ diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index 3f3b614a47..dab5c3c1ab 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -1026,7 +1026,7 @@ static int is_valid_fd(int fd) { int fd2; - if (fd < 0 || !_PyVerify_fd(fd)) + if (fd < 0) return 0; _Py_BEGIN_SUPPRESS_IPH /* Prefer dup() over fstat(). fstat() can require input/output whereas -- cgit v1.2.1 From 73392d64a0328bce848b448206b668f695640538 Mon Sep 17 00:00:00 2001 From: Steve Dower Date: Tue, 30 Aug 2016 21:22:36 -0700 Subject: Issue #1602: Windows console doesn't input or print Unicode (PEP 528) Closes #17602: Adds a readline implementation for the Windows console --- Python/pylifecycle.c | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) (limited to 'Python') diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index dab5c3c1ab..1a68255c93 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -31,6 +31,9 @@ #ifdef MS_WINDOWS #undef BYTE #include "windows.h" + +extern PyTypeObject PyWindowsConsoleIO_Type; +#define PyWindowsConsoleIO_Check(op) (PyObject_TypeCheck((op), &PyWindowsConsoleIO_Type)) #endif _Py_IDENTIFIER(flush); @@ -92,6 +95,7 @@ int Py_HashRandomizationFlag = 0; /* for -R and PYTHONHASHSEED */ int Py_IsolatedFlag = 0; /* for -I, isolate from user's env */ #ifdef MS_WINDOWS int Py_LegacyWindowsFSEncodingFlag = 0; /* Uses mbcs instead of utf-8 */ +int Py_LegacyWindowsStdioFlag = 0; /* Uses FileIO instead of WindowsConsoleIO */ #endif PyThreadState *_Py_Finalizing = NULL; @@ -154,6 +158,12 @@ Py_SetStandardStreamEncoding(const char *encoding, const char *errors) return -3; } } +#ifdef MS_WINDOWS + if (_Py_StandardStreamEncoding) { + /* Overriding the stream encoding implies legacy streams */ + Py_LegacyWindowsStdioFlag = 1; + } +#endif return 0; } @@ -327,6 +337,8 @@ _Py_InitializeEx_Private(int install_sigs, int install_importlib) #ifdef MS_WINDOWS if ((p = Py_GETENV("PYTHONLEGACYWINDOWSFSENCODING")) && *p != '\0') Py_LegacyWindowsFSEncodingFlag = add_flag(Py_LegacyWindowsFSEncodingFlag, p); + if ((p = Py_GETENV("PYTHONLEGACYWINDOWSSTDIO")) && *p != '\0') + Py_LegacyWindowsStdioFlag = add_flag(Py_LegacyWindowsStdioFlag, p); #endif _PyRandom_Init(); @@ -1089,6 +1101,12 @@ create_stdio(PyObject* io, Py_INCREF(raw); } +#ifdef MS_WINDOWS + /* Windows console IO is always UTF-8 encoded */ + if (PyWindowsConsoleIO_Check(raw)) + encoding = "utf-8"; +#endif + text = PyUnicode_FromString(name); if (text == NULL || _PyObject_SetAttrId(raw, &PyId_name, text) < 0) goto error; -- cgit v1.2.1 From 703d5e702019a06489e01aa120c50783e6496ef6 Mon Sep 17 00:00:00 2001 From: Raymond Hettinger Date: Thu, 8 Sep 2016 14:45:40 -0700 Subject: Merge --- Python/ceval.c | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 9109ea59f2..0c3ef7b71b 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -2619,14 +2619,16 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) TARGET(BUILD_SET) { PyObject *set = PySet_New(NULL); int err = 0; + int i; if (set == NULL) goto error; - while (--oparg >= 0) { - PyObject *item = POP(); + for (i = oparg; i > 0; i--) { + PyObject *item = PEEK(i); if (err == 0) err = PySet_Add(set, item); Py_DECREF(item); } + STACKADJ(-oparg); if (err != 0) { Py_DECREF(set); goto error; -- cgit v1.2.1 From 13df64e507f929fb4c486ef5a4d598ee2ba46662 Mon Sep 17 00:00:00 2001 From: Christian Heimes Date: Fri, 9 Sep 2016 00:22:28 +0200 Subject: Fix potential NULL pointer dereference in update_symbols() symtable_analyze() calls analyze_block() with bound=NULL. Theoretically that NULL can be passed down to update_symbols(). update_symbols() may deference NULL and pass it to PySet_Contains() --- Python/symtable.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/symtable.c b/Python/symtable.c index 3f03184f08..45a8c2c64b 100644 --- a/Python/symtable.c +++ b/Python/symtable.c @@ -652,7 +652,7 @@ update_symbols(PyObject *symbols, PyObject *scopes, continue; } /* Handle global symbol */ - if (!PySet_Contains(bound, name)) { + if (bound && !PySet_Contains(bound, name)) { Py_DECREF(name); continue; /* it's a global */ } -- cgit v1.2.1 From 761928cf31626534ebb81a6326c61b42050ef388 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Thu, 8 Sep 2016 15:11:11 -0700 Subject: Issue #24254: Drop cls.__definition_order__. --- Python/bltinmodule.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index 252c0a7b89..da9ad55ce8 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -147,7 +147,7 @@ builtin___build_class__(PyObject *self, PyObject *args, PyObject *kwds) if (prep == NULL) { if (PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Clear(); - ns = PyODict_New(); + ns = PyDict_New(); } else { Py_DECREF(meta); -- cgit v1.2.1 From b2329bd37e66414113382ba205d3f0a8d18c4d71 Mon Sep 17 00:00:00 2001 From: Christian Heimes Date: Fri, 9 Sep 2016 00:25:03 +0200 Subject: Fix potential NULL pointer dereference in _imp_create_builtin PyModule_GetDef() can return NULL. Let's check the return value properly like in the other five cases. CID 1299590 --- Python/import.c | 4 ++++ 1 file changed, 4 insertions(+) (limited to 'Python') diff --git a/Python/import.c b/Python/import.c index 17188c275a..dfdd9409e5 100644 --- a/Python/import.c +++ b/Python/import.c @@ -1077,6 +1077,10 @@ _imp_create_builtin(PyObject *module, PyObject *spec) } else { /* Remember pointer to module init function. */ def = PyModule_GetDef(mod); + if (def == NULL) { + Py_DECREF(name); + return NULL; + } def->m_base.m_init = p->initfunc; if (_PyImport_FixupExtensionObject(mod, name, name) < 0) { Py_DECREF(name); -- cgit v1.2.1 From b164476aaf77ceffac36ddbbdc7f4df90fbfebd3 Mon Sep 17 00:00:00 2001 From: Yury Selivanov Date: Thu, 8 Sep 2016 20:50:03 -0700 Subject: Issue #27985: Implement PEP 526 -- Syntax for Variable Annotations. Patch by Ivan Levkivskyi. --- Python/Python-ast.c | 124 ++- Python/ast.c | 86 +- Python/ceval.c | 112 +++ Python/compile.c | 215 ++++- Python/graminit.c | 1811 ++++++++++++++++++++++--------------------- Python/importlib_external.h | 208 ++--- Python/opcode_targets.h | 4 +- Python/pylifecycle.c | 8 +- Python/symtable.c | 56 ++ 9 files changed, 1621 insertions(+), 1003 deletions(-) (limited to 'Python') diff --git a/Python/Python-ast.c b/Python/Python-ast.c index 1193c7c66b..6ab57dfe8e 100644 --- a/Python/Python-ast.c +++ b/Python/Python-ast.c @@ -86,6 +86,15 @@ static char *AugAssign_fields[]={ "op", "value", }; +static PyTypeObject *AnnAssign_type; +_Py_IDENTIFIER(annotation); +_Py_IDENTIFIER(simple); +static char *AnnAssign_fields[]={ + "target", + "annotation", + "value", + "simple", +}; static PyTypeObject *For_type; _Py_IDENTIFIER(iter); _Py_IDENTIFIER(orelse); @@ -466,7 +475,6 @@ static char *arg_attributes[] = { "col_offset", }; _Py_IDENTIFIER(arg); -_Py_IDENTIFIER(annotation); static char *arg_fields[]={ "arg", "annotation", @@ -873,6 +881,8 @@ static int init_types(void) if (!Assign_type) return 0; AugAssign_type = make_type("AugAssign", stmt_type, AugAssign_fields, 3); if (!AugAssign_type) return 0; + AnnAssign_type = make_type("AnnAssign", stmt_type, AnnAssign_fields, 4); + if (!AnnAssign_type) return 0; For_type = make_type("For", stmt_type, For_fields, 4); if (!For_type) return 0; AsyncFor_type = make_type("AsyncFor", stmt_type, AsyncFor_fields, 4); @@ -1406,6 +1416,34 @@ AugAssign(expr_ty target, operator_ty op, expr_ty value, int lineno, int return p; } +stmt_ty +AnnAssign(expr_ty target, expr_ty annotation, expr_ty value, int simple, int + lineno, int col_offset, PyArena *arena) +{ + stmt_ty p; + if (!target) { + PyErr_SetString(PyExc_ValueError, + "field target is required for AnnAssign"); + return NULL; + } + if (!annotation) { + PyErr_SetString(PyExc_ValueError, + "field annotation is required for AnnAssign"); + return NULL; + } + p = (stmt_ty)PyArena_Malloc(arena, sizeof(*p)); + if (!p) + return NULL; + p->kind = AnnAssign_kind; + p->v.AnnAssign.target = target; + p->v.AnnAssign.annotation = annotation; + p->v.AnnAssign.value = value; + p->v.AnnAssign.simple = simple; + p->lineno = lineno; + p->col_offset = col_offset; + return p; +} + stmt_ty For(expr_ty target, expr_ty iter, asdl_seq * body, asdl_seq * orelse, int lineno, int col_offset, PyArena *arena) @@ -2740,6 +2778,30 @@ ast2obj_stmt(void* _o) goto failed; Py_DECREF(value); break; + case AnnAssign_kind: + result = PyType_GenericNew(AnnAssign_type, NULL, NULL); + if (!result) goto failed; + value = ast2obj_expr(o->v.AnnAssign.target); + if (!value) goto failed; + if (_PyObject_SetAttrId(result, &PyId_target, value) == -1) + goto failed; + Py_DECREF(value); + value = ast2obj_expr(o->v.AnnAssign.annotation); + if (!value) goto failed; + if (_PyObject_SetAttrId(result, &PyId_annotation, value) == -1) + goto failed; + Py_DECREF(value); + value = ast2obj_expr(o->v.AnnAssign.value); + if (!value) goto failed; + if (_PyObject_SetAttrId(result, &PyId_value, value) == -1) + goto failed; + Py_DECREF(value); + value = ast2obj_int(o->v.AnnAssign.simple); + if (!value) goto failed; + if (_PyObject_SetAttrId(result, &PyId_simple, value) == -1) + goto failed; + Py_DECREF(value); + break; case For_kind: result = PyType_GenericNew(For_type, NULL, NULL); if (!result) goto failed; @@ -4535,6 +4597,64 @@ obj2ast_stmt(PyObject* obj, stmt_ty* out, PyArena* arena) if (*out == NULL) goto failed; return 0; } + isinstance = PyObject_IsInstance(obj, (PyObject*)AnnAssign_type); + if (isinstance == -1) { + return 1; + } + if (isinstance) { + expr_ty target; + expr_ty annotation; + expr_ty value; + int simple; + + if (_PyObject_HasAttrId(obj, &PyId_target)) { + int res; + tmp = _PyObject_GetAttrId(obj, &PyId_target); + if (tmp == NULL) goto failed; + res = obj2ast_expr(tmp, &target, arena); + if (res != 0) goto failed; + Py_CLEAR(tmp); + } else { + PyErr_SetString(PyExc_TypeError, "required field \"target\" missing from AnnAssign"); + return 1; + } + if (_PyObject_HasAttrId(obj, &PyId_annotation)) { + int res; + tmp = _PyObject_GetAttrId(obj, &PyId_annotation); + if (tmp == NULL) goto failed; + res = obj2ast_expr(tmp, &annotation, arena); + if (res != 0) goto failed; + Py_CLEAR(tmp); + } else { + PyErr_SetString(PyExc_TypeError, "required field \"annotation\" missing from AnnAssign"); + return 1; + } + if (exists_not_none(obj, &PyId_value)) { + int res; + tmp = _PyObject_GetAttrId(obj, &PyId_value); + if (tmp == NULL) goto failed; + res = obj2ast_expr(tmp, &value, arena); + if (res != 0) goto failed; + Py_CLEAR(tmp); + } else { + value = NULL; + } + if (_PyObject_HasAttrId(obj, &PyId_simple)) { + int res; + tmp = _PyObject_GetAttrId(obj, &PyId_simple); + if (tmp == NULL) goto failed; + res = obj2ast_int(tmp, &simple, arena); + if (res != 0) goto failed; + Py_CLEAR(tmp); + } else { + PyErr_SetString(PyExc_TypeError, "required field \"simple\" missing from AnnAssign"); + return 1; + } + *out = AnnAssign(target, annotation, value, simple, lineno, col_offset, + arena); + if (*out == NULL) goto failed; + return 0; + } isinstance = PyObject_IsInstance(obj, (PyObject*)For_type); if (isinstance == -1) { return 1; @@ -7517,6 +7637,8 @@ PyInit__ast(void) NULL; if (PyDict_SetItemString(d, "AugAssign", (PyObject*)AugAssign_type) < 0) return NULL; + if (PyDict_SetItemString(d, "AnnAssign", (PyObject*)AnnAssign_type) < 0) + return NULL; if (PyDict_SetItemString(d, "For", (PyObject*)For_type) < 0) return NULL; if (PyDict_SetItemString(d, "AsyncFor", (PyObject*)AsyncFor_type) < 0) return NULL; diff --git a/Python/ast.c b/Python/ast.c index c5f363b659..e89ec22584 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -397,6 +397,17 @@ validate_stmt(stmt_ty stmt) case AugAssign_kind: return validate_expr(stmt->v.AugAssign.target, Store) && validate_expr(stmt->v.AugAssign.value, Load); + case AnnAssign_kind: + if (stmt->v.AnnAssign.target->kind != Name_kind && + stmt->v.AnnAssign.simple) { + PyErr_SetString(PyExc_TypeError, + "AnnAssign with simple non-Name target"); + return 0; + } + return validate_expr(stmt->v.AnnAssign.target, Store) && + (!stmt->v.AnnAssign.value || + validate_expr(stmt->v.AnnAssign.value, Load)) && + validate_expr(stmt->v.AnnAssign.annotation, Load); case For_kind: return validate_expr(stmt->v.For.target, Store) && validate_expr(stmt->v.For.iter, Load) && @@ -2847,8 +2858,9 @@ static stmt_ty ast_for_expr_stmt(struct compiling *c, const node *n) { REQ(n, expr_stmt); - /* expr_stmt: testlist_star_expr (augassign (yield_expr|testlist) - | ('=' (yield_expr|testlist))*) + /* expr_stmt: testlist_star_expr (annassign | augassign (yield_expr|testlist) | + ('=' (yield_expr|testlist_star_expr))*) + annassign: ':' test ['=' test] testlist_star_expr: (test|star_expr) (',' test|star_expr)* [','] augassign: '+=' | '-=' | '*=' | '@=' | '/=' | '%=' | '&=' | '|=' | '^=' | '<<=' | '>>=' | '**=' | '//=' @@ -2900,6 +2912,76 @@ ast_for_expr_stmt(struct compiling *c, const node *n) return AugAssign(expr1, newoperator, expr2, LINENO(n), n->n_col_offset, c->c_arena); } + else if (TYPE(CHILD(n, 1)) == annassign) { + expr_ty expr1, expr2, expr3; + node *ch = CHILD(n, 0); + node *deep, *ann = CHILD(n, 1); + int simple = 1; + + /* we keep track of parens to qualify (x) as expression not name */ + deep = ch; + while (NCH(deep) == 1) { + deep = CHILD(deep, 0); + } + if (NCH(deep) > 0 && TYPE(CHILD(deep, 0)) == LPAR) { + simple = 0; + } + expr1 = ast_for_testlist(c, ch); + if (!expr1) { + return NULL; + } + switch (expr1->kind) { + case Name_kind: + if (forbidden_name(c, expr1->v.Name.id, n, 0)) { + return NULL; + } + expr1->v.Name.ctx = Store; + break; + case Attribute_kind: + if (forbidden_name(c, expr1->v.Attribute.attr, n, 1)) { + return NULL; + } + expr1->v.Attribute.ctx = Store; + break; + case Subscript_kind: + expr1->v.Subscript.ctx = Store; + break; + case List_kind: + ast_error(c, ch, + "only single target (not list) can be annotated"); + return NULL; + case Tuple_kind: + ast_error(c, ch, + "only single target (not tuple) can be annotated"); + return NULL; + default: + ast_error(c, ch, + "illegal target for annotation"); + return NULL; + } + + if (expr1->kind != Name_kind) { + simple = 0; + } + ch = CHILD(ann, 1); + expr2 = ast_for_expr(c, ch); + if (!expr2) { + return NULL; + } + if (NCH(ann) == 2) { + return AnnAssign(expr1, expr2, NULL, simple, + LINENO(n), n->n_col_offset, c->c_arena); + } + else { + ch = CHILD(ann, 3); + expr3 = ast_for_expr(c, ch); + if (!expr3) { + return NULL; + } + return AnnAssign(expr1, expr2, expr3, simple, + LINENO(n), n->n_col_offset, c->c_arena); + } + } else { int i; asdl_seq *targets; diff --git a/Python/ceval.c b/Python/ceval.c index 0c3ef7b71b..a52ee8a582 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -1873,6 +1873,62 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) DISPATCH(); } + TARGET(STORE_ANNOTATION) { + _Py_IDENTIFIER(__annotations__); + PyObject *ann_dict; + PyObject *ann = POP(); + PyObject *name = GETITEM(names, oparg); + int err; + if (f->f_locals == NULL) { + PyErr_Format(PyExc_SystemError, + "no locals found when storing annotation"); + Py_DECREF(ann); + goto error; + } + /* first try to get __annotations__ from locals... */ + if (PyDict_CheckExact(f->f_locals)) { + ann_dict = _PyDict_GetItemId(f->f_locals, + &PyId___annotations__); + if (ann_dict == NULL) { + PyErr_SetString(PyExc_NameError, + "__annotations__ not found"); + Py_DECREF(ann); + goto error; + } + Py_INCREF(ann_dict); + } + else { + PyObject *ann_str = _PyUnicode_FromId(&PyId___annotations__); + if (ann_str == NULL) { + Py_DECREF(ann); + goto error; + } + ann_dict = PyObject_GetItem(f->f_locals, ann_str); + if (ann_dict == NULL) { + if (PyErr_ExceptionMatches(PyExc_KeyError)) { + PyErr_SetString(PyExc_NameError, + "__annotations__ not found"); + } + Py_DECREF(ann); + goto error; + } + } + /* ...if succeeded, __annotations__[name] = ann */ + if (PyDict_CheckExact(ann_dict)) { + err = PyDict_SetItem(ann_dict, name, ann); + } + else { + err = PyObject_SetItem(ann_dict, name, ann); + } + Py_DECREF(ann_dict); + if (err != 0) { + Py_DECREF(ann); + goto error; + } + Py_DECREF(ann); + DISPATCH(); + } + TARGET(DELETE_SUBSCR) { PyObject *sub = TOP(); PyObject *container = SECOND(); @@ -2680,6 +2736,62 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) DISPATCH(); } + TARGET(SETUP_ANNOTATIONS) { + _Py_IDENTIFIER(__annotations__); + int err; + PyObject *ann_dict; + if (f->f_locals == NULL) { + PyErr_Format(PyExc_SystemError, + "no locals found when setting up annotations"); + goto error; + } + /* check if __annotations__ in locals()... */ + if (PyDict_CheckExact(f->f_locals)) { + ann_dict = _PyDict_GetItemId(f->f_locals, + &PyId___annotations__); + if (ann_dict == NULL) { + /* ...if not, create a new one */ + ann_dict = PyDict_New(); + if (ann_dict == NULL) { + goto error; + } + err = _PyDict_SetItemId(f->f_locals, + &PyId___annotations__, ann_dict); + Py_DECREF(ann_dict); + if (err != 0) { + goto error; + } + } + } + else { + /* do the same if locals() is not a dict */ + PyObject *ann_str = _PyUnicode_FromId(&PyId___annotations__); + if (ann_str == NULL) { + break; + } + ann_dict = PyObject_GetItem(f->f_locals, ann_str); + if (ann_dict == NULL) { + if (!PyErr_ExceptionMatches(PyExc_KeyError)) { + goto error; + } + PyErr_Clear(); + ann_dict = PyDict_New(); + if (ann_dict == NULL) { + goto error; + } + err = PyObject_SetItem(f->f_locals, ann_str, ann_dict); + Py_DECREF(ann_dict); + if (err != 0) { + goto error; + } + } + else { + Py_DECREF(ann_dict); + } + } + DISPATCH(); + } + TARGET(BUILD_CONST_KEY_MAP) { Py_ssize_t i; PyObject *map; diff --git a/Python/compile.c b/Python/compile.c index 45e4262b40..b46edd4985 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -179,6 +179,7 @@ static int compiler_visit_stmt(struct compiler *, stmt_ty); static int compiler_visit_keyword(struct compiler *, keyword_ty); static int compiler_visit_expr(struct compiler *, expr_ty); static int compiler_augassign(struct compiler *, stmt_ty); +static int compiler_annassign(struct compiler *, stmt_ty); static int compiler_visit_slice(struct compiler *, slice_ty, expr_context_ty); @@ -933,6 +934,8 @@ PyCompile_OpcodeStackEffect(int opcode, int oparg) return -1; case IMPORT_STAR: return -1; + case SETUP_ANNOTATIONS: + return 0; case YIELD_VALUE: return 0; case YIELD_FROM: @@ -1020,6 +1023,8 @@ PyCompile_OpcodeStackEffect(int opcode, int oparg) return -1; case DELETE_FAST: return 0; + case STORE_ANNOTATION: + return -1; case RAISE_VARARGS: return -oparg; @@ -1358,7 +1363,65 @@ get_const_value(expr_ty e) } } -/* Compile a sequence of statements, checking for a docstring. */ +/* Search if variable annotations are present statically in a block. */ + +static int +find_ann(asdl_seq *stmts) +{ + int i, j, res = 0; + stmt_ty st; + + for (i = 0; i < asdl_seq_LEN(stmts); i++) { + st = (stmt_ty)asdl_seq_GET(stmts, i); + switch (st->kind) { + case AnnAssign_kind: + return 1; + case For_kind: + res = find_ann(st->v.For.body) || + find_ann(st->v.For.orelse); + break; + case AsyncFor_kind: + res = find_ann(st->v.AsyncFor.body) || + find_ann(st->v.AsyncFor.orelse); + break; + case While_kind: + res = find_ann(st->v.While.body) || + find_ann(st->v.While.orelse); + break; + case If_kind: + res = find_ann(st->v.If.body) || + find_ann(st->v.If.orelse); + break; + case With_kind: + res = find_ann(st->v.With.body); + break; + case AsyncWith_kind: + res = find_ann(st->v.AsyncWith.body); + break; + case Try_kind: + for (j = 0; j < asdl_seq_LEN(st->v.Try.handlers); j++) { + excepthandler_ty handler = (excepthandler_ty)asdl_seq_GET( + st->v.Try.handlers, j); + if (find_ann(handler->v.ExceptHandler.body)) { + return 1; + } + } + res = find_ann(st->v.Try.body) || + find_ann(st->v.Try.finalbody) || + find_ann(st->v.Try.orelse); + break; + default: + res = 0; + } + if (res) { + break; + } + } + return res; +} + +/* Compile a sequence of statements, checking for a docstring + and for annotations. */ static int compiler_body(struct compiler *c, asdl_seq *stmts) @@ -1366,6 +1429,19 @@ compiler_body(struct compiler *c, asdl_seq *stmts) int i = 0; stmt_ty st; + /* Set current line number to the line number of first statement. + This way line number for SETUP_ANNOTATIONS will always + coincide with the line number of first "real" statement in module. + If body is empy, then lineno will be set later in assemble. */ + if (c->u->u_scope_type == COMPILER_SCOPE_MODULE && + !c->u->u_lineno && asdl_seq_LEN(stmts)) { + st = (stmt_ty)asdl_seq_GET(stmts, 0); + c->u->u_lineno = st->lineno; + } + /* Every annotated class and module should have __annotations__. */ + if (find_ann(stmts)) { + ADDOP(c, SETUP_ANNOTATIONS); + } if (!asdl_seq_LEN(stmts)) return 1; st = (stmt_ty)asdl_seq_GET(stmts, 0); @@ -1403,6 +1479,9 @@ compiler_mod(struct compiler *c, mod_ty mod) } break; case Interactive_kind: + if (find_ann(mod->v.Interactive.body)) { + ADDOP(c, SETUP_ANNOTATIONS); + } c->c_interactive = 1; VISIT_SEQ_IN_SCOPE(c, stmt, mod->v.Interactive.body); @@ -2743,6 +2822,8 @@ compiler_visit_stmt(struct compiler *c, stmt_ty s) break; case AugAssign_kind: return compiler_augassign(c, s); + case AnnAssign_kind: + return compiler_annassign(c, s); case For_kind: return compiler_for(c, s); case While_kind: @@ -4222,6 +4303,138 @@ compiler_augassign(struct compiler *c, stmt_ty s) return 1; } +static int +check_ann_expr(struct compiler *c, expr_ty e) +{ + VISIT(c, expr, e); + ADDOP(c, POP_TOP); + return 1; +} + +static int +check_annotation(struct compiler *c, stmt_ty s) +{ + /* Annotations are only evaluated in a module or class. */ + if (c->u->u_scope_type == COMPILER_SCOPE_MODULE || + c->u->u_scope_type == COMPILER_SCOPE_CLASS) { + return check_ann_expr(c, s->v.AnnAssign.annotation); + } + return 1; +} + +static int +check_ann_slice(struct compiler *c, slice_ty sl) +{ + switch(sl->kind) { + case Index_kind: + return check_ann_expr(c, sl->v.Index.value); + case Slice_kind: + if (sl->v.Slice.lower && !check_ann_expr(c, sl->v.Slice.lower)) { + return 0; + } + if (sl->v.Slice.upper && !check_ann_expr(c, sl->v.Slice.upper)) { + return 0; + } + if (sl->v.Slice.step && !check_ann_expr(c, sl->v.Slice.step)) { + return 0; + } + break; + default: + PyErr_SetString(PyExc_SystemError, + "unexpected slice kind"); + return 0; + } + return 1; +} + +static int +check_ann_subscr(struct compiler *c, slice_ty sl) +{ + /* We check that everything in a subscript is defined at runtime. */ + Py_ssize_t i, n; + + switch (sl->kind) { + case Index_kind: + case Slice_kind: + if (!check_ann_slice(c, sl)) { + return 0; + } + break; + case ExtSlice_kind: + n = asdl_seq_LEN(sl->v.ExtSlice.dims); + for (i = 0; i < n; i++) { + slice_ty subsl = (slice_ty)asdl_seq_GET(sl->v.ExtSlice.dims, i); + switch (subsl->kind) { + case Index_kind: + case Slice_kind: + if (!check_ann_slice(c, subsl)) { + return 0; + } + break; + case ExtSlice_kind: + default: + PyErr_SetString(PyExc_SystemError, + "extended slice invalid in nested slice"); + return 0; + } + } + break; + default: + PyErr_Format(PyExc_SystemError, + "invalid subscript kind %d", sl->kind); + return 0; + } + return 1; +} + +static int +compiler_annassign(struct compiler *c, stmt_ty s) +{ + expr_ty targ = s->v.AnnAssign.target; + + assert(s->kind == AnnAssign_kind); + + /* We perform the actual assignment first. */ + if (s->v.AnnAssign.value) { + VISIT(c, expr, s->v.AnnAssign.value); + VISIT(c, expr, targ); + } + switch (targ->kind) { + case Name_kind: + /* If we have a simple name in a module or class, store annotation. */ + if (s->v.AnnAssign.simple && + (c->u->u_scope_type == COMPILER_SCOPE_MODULE || + c->u->u_scope_type == COMPILER_SCOPE_CLASS)) { + VISIT(c, expr, s->v.AnnAssign.annotation); + ADDOP_O(c, STORE_ANNOTATION, targ->v.Name.id, names) + } + break; + case Attribute_kind: + if (!s->v.AnnAssign.value && + !check_ann_expr(c, targ->v.Attribute.value)) { + return 0; + } + break; + case Subscript_kind: + if (!s->v.AnnAssign.value && + (!check_ann_expr(c, targ->v.Subscript.value) || + !check_ann_subscr(c, targ->v.Subscript.slice))) { + return 0; + } + break; + default: + PyErr_Format(PyExc_SystemError, + "invalid node type (%d) for annotated assignment", + targ->kind); + return 0; + } + /* Annotation is evaluated last. */ + if (!s->v.AnnAssign.simple && !check_annotation(c, s)) { + return 0; + } + return 1; +} + static int compiler_push_fblock(struct compiler *c, enum fblocktype t, basicblock *b) { diff --git a/Python/graminit.c b/Python/graminit.c index 354dc121b0..c11b8317fd 100644 --- a/Python/graminit.c +++ b/Python/graminit.c @@ -459,54 +459,77 @@ static state states_15[2] = { static arc arcs_16_0[1] = { {47, 1}, }; -static arc arcs_16_1[3] = { +static arc arcs_16_1[4] = { {48, 2}, - {31, 3}, + {49, 3}, + {31, 4}, {0, 1}, }; -static arc arcs_16_2[2] = { - {49, 4}, - {9, 4}, +static arc arcs_16_2[1] = { + {0, 2}, }; static arc arcs_16_3[2] = { - {49, 5}, - {47, 5}, + {50, 2}, + {9, 2}, }; -static arc arcs_16_4[1] = { - {0, 4}, +static arc arcs_16_4[2] = { + {50, 5}, + {47, 5}, }; static arc arcs_16_5[2] = { - {31, 3}, + {31, 4}, {0, 5}, }; static state states_16[6] = { {1, arcs_16_0}, - {3, arcs_16_1}, - {2, arcs_16_2}, + {4, arcs_16_1}, + {1, arcs_16_2}, {2, arcs_16_3}, - {1, arcs_16_4}, + {2, arcs_16_4}, {2, arcs_16_5}, }; -static arc arcs_17_0[2] = { +static arc arcs_17_0[1] = { + {27, 1}, +}; +static arc arcs_17_1[1] = { + {26, 2}, +}; +static arc arcs_17_2[2] = { + {31, 3}, + {0, 2}, +}; +static arc arcs_17_3[1] = { + {26, 4}, +}; +static arc arcs_17_4[1] = { + {0, 4}, +}; +static state states_17[5] = { + {1, arcs_17_0}, + {1, arcs_17_1}, + {2, arcs_17_2}, + {1, arcs_17_3}, + {1, arcs_17_4}, +}; +static arc arcs_18_0[2] = { {26, 1}, - {50, 1}, + {51, 1}, }; -static arc arcs_17_1[2] = { +static arc arcs_18_1[2] = { {32, 2}, {0, 1}, }; -static arc arcs_17_2[3] = { +static arc arcs_18_2[3] = { {26, 1}, - {50, 1}, + {51, 1}, {0, 2}, }; -static state states_17[3] = { - {2, arcs_17_0}, - {2, arcs_17_1}, - {3, arcs_17_2}, +static state states_18[3] = { + {2, arcs_18_0}, + {2, arcs_18_1}, + {3, arcs_18_2}, }; -static arc arcs_18_0[13] = { - {51, 1}, +static arc arcs_19_0[13] = { {52, 1}, {53, 1}, {54, 1}, @@ -519,60 +542,51 @@ static arc arcs_18_0[13] = { {61, 1}, {62, 1}, {63, 1}, -}; -static arc arcs_18_1[1] = { - {0, 1}, -}; -static state states_18[2] = { - {13, arcs_18_0}, - {1, arcs_18_1}, -}; -static arc arcs_19_0[1] = { {64, 1}, }; static arc arcs_19_1[1] = { - {65, 2}, -}; -static arc arcs_19_2[1] = { - {0, 2}, + {0, 1}, }; -static state states_19[3] = { - {1, arcs_19_0}, +static state states_19[2] = { + {13, arcs_19_0}, {1, arcs_19_1}, - {1, arcs_19_2}, }; static arc arcs_20_0[1] = { - {66, 1}, + {65, 1}, }; static arc arcs_20_1[1] = { - {0, 1}, + {66, 2}, }; -static state states_20[2] = { +static arc arcs_20_2[1] = { + {0, 2}, +}; +static state states_20[3] = { {1, arcs_20_0}, {1, arcs_20_1}, + {1, arcs_20_2}, }; -static arc arcs_21_0[5] = { +static arc arcs_21_0[1] = { {67, 1}, - {68, 1}, - {69, 1}, - {70, 1}, - {71, 1}, }; static arc arcs_21_1[1] = { {0, 1}, }; static state states_21[2] = { - {5, arcs_21_0}, + {1, arcs_21_0}, {1, arcs_21_1}, }; -static arc arcs_22_0[1] = { +static arc arcs_22_0[5] = { + {68, 1}, + {69, 1}, + {70, 1}, + {71, 1}, {72, 1}, }; static arc arcs_22_1[1] = { {0, 1}, }; static state states_22[2] = { - {1, arcs_22_0}, + {5, arcs_22_0}, {1, arcs_22_1}, }; static arc arcs_23_0[1] = { @@ -588,142 +602,133 @@ static state states_23[2] = { static arc arcs_24_0[1] = { {74, 1}, }; -static arc arcs_24_1[2] = { - {9, 2}, +static arc arcs_24_1[1] = { {0, 1}, }; -static arc arcs_24_2[1] = { - {0, 2}, -}; -static state states_24[3] = { +static state states_24[2] = { {1, arcs_24_0}, - {2, arcs_24_1}, - {1, arcs_24_2}, + {1, arcs_24_1}, }; static arc arcs_25_0[1] = { - {49, 1}, + {75, 1}, }; -static arc arcs_25_1[1] = { +static arc arcs_25_1[2] = { + {9, 2}, {0, 1}, }; -static state states_25[2] = { +static arc arcs_25_2[1] = { + {0, 2}, +}; +static state states_25[3] = { {1, arcs_25_0}, - {1, arcs_25_1}, + {2, arcs_25_1}, + {1, arcs_25_2}, }; static arc arcs_26_0[1] = { - {75, 1}, + {50, 1}, +}; +static arc arcs_26_1[1] = { + {0, 1}, +}; +static state states_26[2] = { + {1, arcs_26_0}, + {1, arcs_26_1}, }; -static arc arcs_26_1[2] = { +static arc arcs_27_0[1] = { + {76, 1}, +}; +static arc arcs_27_1[2] = { {26, 2}, {0, 1}, }; -static arc arcs_26_2[2] = { - {76, 3}, +static arc arcs_27_2[2] = { + {77, 3}, {0, 2}, }; -static arc arcs_26_3[1] = { +static arc arcs_27_3[1] = { {26, 4}, }; -static arc arcs_26_4[1] = { +static arc arcs_27_4[1] = { {0, 4}, }; -static state states_26[5] = { - {1, arcs_26_0}, - {2, arcs_26_1}, - {2, arcs_26_2}, - {1, arcs_26_3}, - {1, arcs_26_4}, +static state states_27[5] = { + {1, arcs_27_0}, + {2, arcs_27_1}, + {2, arcs_27_2}, + {1, arcs_27_3}, + {1, arcs_27_4}, }; -static arc arcs_27_0[2] = { - {77, 1}, +static arc arcs_28_0[2] = { {78, 1}, + {79, 1}, }; -static arc arcs_27_1[1] = { +static arc arcs_28_1[1] = { {0, 1}, }; -static state states_27[2] = { - {2, arcs_27_0}, - {1, arcs_27_1}, +static state states_28[2] = { + {2, arcs_28_0}, + {1, arcs_28_1}, }; -static arc arcs_28_0[1] = { - {79, 1}, +static arc arcs_29_0[1] = { + {80, 1}, }; -static arc arcs_28_1[1] = { - {80, 2}, +static arc arcs_29_1[1] = { + {81, 2}, }; -static arc arcs_28_2[1] = { +static arc arcs_29_2[1] = { {0, 2}, }; -static state states_28[3] = { - {1, arcs_28_0}, - {1, arcs_28_1}, - {1, arcs_28_2}, +static state states_29[3] = { + {1, arcs_29_0}, + {1, arcs_29_1}, + {1, arcs_29_2}, }; -static arc arcs_29_0[1] = { - {76, 1}, +static arc arcs_30_0[1] = { + {77, 1}, }; -static arc arcs_29_1[3] = { - {81, 2}, +static arc arcs_30_1[3] = { {82, 2}, + {83, 2}, {12, 3}, }; -static arc arcs_29_2[4] = { - {81, 2}, +static arc arcs_30_2[4] = { {82, 2}, + {83, 2}, {12, 3}, - {79, 4}, + {80, 4}, }; -static arc arcs_29_3[1] = { - {79, 4}, +static arc arcs_30_3[1] = { + {80, 4}, }; -static arc arcs_29_4[3] = { +static arc arcs_30_4[3] = { {33, 5}, {13, 6}, - {83, 5}, + {84, 5}, }; -static arc arcs_29_5[1] = { +static arc arcs_30_5[1] = { {0, 5}, }; -static arc arcs_29_6[1] = { - {83, 7}, +static arc arcs_30_6[1] = { + {84, 7}, }; -static arc arcs_29_7[1] = { +static arc arcs_30_7[1] = { {15, 5}, }; -static state states_29[8] = { - {1, arcs_29_0}, - {3, arcs_29_1}, - {4, arcs_29_2}, - {1, arcs_29_3}, - {3, arcs_29_4}, - {1, arcs_29_5}, - {1, arcs_29_6}, - {1, arcs_29_7}, -}; -static arc arcs_30_0[1] = { - {23, 1}, -}; -static arc arcs_30_1[2] = { - {85, 2}, - {0, 1}, -}; -static arc arcs_30_2[1] = { - {23, 3}, -}; -static arc arcs_30_3[1] = { - {0, 3}, -}; -static state states_30[4] = { +static state states_30[8] = { {1, arcs_30_0}, - {2, arcs_30_1}, - {1, arcs_30_2}, + {3, arcs_30_1}, + {4, arcs_30_2}, {1, arcs_30_3}, + {3, arcs_30_4}, + {1, arcs_30_5}, + {1, arcs_30_6}, + {1, arcs_30_7}, }; static arc arcs_31_0[1] = { - {12, 1}, + {23, 1}, }; static arc arcs_31_1[2] = { - {85, 2}, + {86, 2}, {0, 1}, }; static arc arcs_31_2[1] = { @@ -739,37 +744,45 @@ static state states_31[4] = { {1, arcs_31_3}, }; static arc arcs_32_0[1] = { - {84, 1}, + {12, 1}, }; static arc arcs_32_1[2] = { - {32, 2}, + {86, 2}, {0, 1}, }; -static arc arcs_32_2[2] = { - {84, 1}, - {0, 2}, +static arc arcs_32_2[1] = { + {23, 3}, }; -static state states_32[3] = { +static arc arcs_32_3[1] = { + {0, 3}, +}; +static state states_32[4] = { {1, arcs_32_0}, {2, arcs_32_1}, - {2, arcs_32_2}, + {1, arcs_32_2}, + {1, arcs_32_3}, }; static arc arcs_33_0[1] = { - {86, 1}, + {85, 1}, }; static arc arcs_33_1[2] = { - {32, 0}, + {32, 2}, {0, 1}, }; -static state states_33[2] = { +static arc arcs_33_2[2] = { + {85, 1}, + {0, 2}, +}; +static state states_33[3] = { {1, arcs_33_0}, {2, arcs_33_1}, + {2, arcs_33_2}, }; static arc arcs_34_0[1] = { - {23, 1}, + {87, 1}, }; static arc arcs_34_1[2] = { - {81, 0}, + {32, 0}, {0, 1}, }; static state states_34[2] = { @@ -777,19 +790,15 @@ static state states_34[2] = { {2, arcs_34_1}, }; static arc arcs_35_0[1] = { - {87, 1}, -}; -static arc arcs_35_1[1] = { - {23, 2}, + {23, 1}, }; -static arc arcs_35_2[2] = { - {32, 1}, - {0, 2}, +static arc arcs_35_1[2] = { + {82, 0}, + {0, 1}, }; -static state states_35[3] = { +static state states_35[2] = { {1, arcs_35_0}, - {1, arcs_35_1}, - {2, arcs_35_2}, + {2, arcs_35_1}, }; static arc arcs_36_0[1] = { {88, 1}, @@ -810,97 +819,76 @@ static arc arcs_37_0[1] = { {89, 1}, }; static arc arcs_37_1[1] = { - {26, 2}, + {23, 2}, }; static arc arcs_37_2[2] = { + {32, 1}, + {0, 2}, +}; +static state states_37[3] = { + {1, arcs_37_0}, + {1, arcs_37_1}, + {2, arcs_37_2}, +}; +static arc arcs_38_0[1] = { + {90, 1}, +}; +static arc arcs_38_1[1] = { + {26, 2}, +}; +static arc arcs_38_2[2] = { {32, 3}, {0, 2}, }; -static arc arcs_37_3[1] = { +static arc arcs_38_3[1] = { {26, 4}, }; -static arc arcs_37_4[1] = { +static arc arcs_38_4[1] = { {0, 4}, }; -static state states_37[5] = { - {1, arcs_37_0}, - {1, arcs_37_1}, - {2, arcs_37_2}, - {1, arcs_37_3}, - {1, arcs_37_4}, +static state states_38[5] = { + {1, arcs_38_0}, + {1, arcs_38_1}, + {2, arcs_38_2}, + {1, arcs_38_3}, + {1, arcs_38_4}, }; -static arc arcs_38_0[9] = { - {90, 1}, +static arc arcs_39_0[9] = { {91, 1}, {92, 1}, {93, 1}, {94, 1}, + {95, 1}, {19, 1}, {18, 1}, {17, 1}, - {95, 1}, + {96, 1}, }; -static arc arcs_38_1[1] = { +static arc arcs_39_1[1] = { {0, 1}, }; -static state states_38[2] = { - {9, arcs_38_0}, - {1, arcs_38_1}, +static state states_39[2] = { + {9, arcs_39_0}, + {1, arcs_39_1}, }; -static arc arcs_39_0[1] = { +static arc arcs_40_0[1] = { {21, 1}, }; -static arc arcs_39_1[3] = { +static arc arcs_40_1[3] = { {19, 2}, - {94, 2}, - {92, 2}, -}; -static arc arcs_39_2[1] = { - {0, 2}, -}; -static state states_39[3] = { - {1, arcs_39_0}, - {3, arcs_39_1}, - {1, arcs_39_2}, -}; -static arc arcs_40_0[1] = { - {96, 1}, -}; -static arc arcs_40_1[1] = { - {26, 2}, + {95, 2}, + {93, 2}, }; static arc arcs_40_2[1] = { - {27, 3}, -}; -static arc arcs_40_3[1] = { - {28, 4}, -}; -static arc arcs_40_4[3] = { - {97, 1}, - {98, 5}, - {0, 4}, -}; -static arc arcs_40_5[1] = { - {27, 6}, -}; -static arc arcs_40_6[1] = { - {28, 7}, -}; -static arc arcs_40_7[1] = { - {0, 7}, + {0, 2}, }; -static state states_40[8] = { +static state states_40[3] = { {1, arcs_40_0}, - {1, arcs_40_1}, + {3, arcs_40_1}, {1, arcs_40_2}, - {1, arcs_40_3}, - {3, arcs_40_4}, - {1, arcs_40_5}, - {1, arcs_40_6}, - {1, arcs_40_7}, }; static arc arcs_41_0[1] = { - {99, 1}, + {97, 1}, }; static arc arcs_41_1[1] = { {26, 2}, @@ -911,8 +899,9 @@ static arc arcs_41_2[1] = { static arc arcs_41_3[1] = { {28, 4}, }; -static arc arcs_41_4[2] = { - {98, 5}, +static arc arcs_41_4[3] = { + {98, 1}, + {99, 5}, {0, 4}, }; static arc arcs_41_5[1] = { @@ -929,7 +918,7 @@ static state states_41[8] = { {1, arcs_41_1}, {1, arcs_41_2}, {1, arcs_41_3}, - {2, arcs_41_4}, + {3, arcs_41_4}, {1, arcs_41_5}, {1, arcs_41_6}, {1, arcs_41_7}, @@ -938,258 +927,270 @@ static arc arcs_42_0[1] = { {100, 1}, }; static arc arcs_42_1[1] = { - {65, 2}, + {26, 2}, }; static arc arcs_42_2[1] = { - {101, 3}, + {27, 3}, }; static arc arcs_42_3[1] = { - {9, 4}, + {28, 4}, }; -static arc arcs_42_4[1] = { - {27, 5}, +static arc arcs_42_4[2] = { + {99, 5}, + {0, 4}, }; static arc arcs_42_5[1] = { - {28, 6}, + {27, 6}, }; -static arc arcs_42_6[2] = { - {98, 7}, - {0, 6}, +static arc arcs_42_6[1] = { + {28, 7}, }; static arc arcs_42_7[1] = { - {27, 8}, -}; -static arc arcs_42_8[1] = { - {28, 9}, -}; -static arc arcs_42_9[1] = { - {0, 9}, + {0, 7}, }; -static state states_42[10] = { +static state states_42[8] = { {1, arcs_42_0}, {1, arcs_42_1}, {1, arcs_42_2}, {1, arcs_42_3}, - {1, arcs_42_4}, + {2, arcs_42_4}, {1, arcs_42_5}, - {2, arcs_42_6}, + {1, arcs_42_6}, {1, arcs_42_7}, - {1, arcs_42_8}, - {1, arcs_42_9}, }; static arc arcs_43_0[1] = { - {102, 1}, + {101, 1}, }; static arc arcs_43_1[1] = { - {27, 2}, + {66, 2}, }; static arc arcs_43_2[1] = { - {28, 3}, + {102, 3}, }; -static arc arcs_43_3[2] = { - {103, 4}, - {104, 5}, +static arc arcs_43_3[1] = { + {9, 4}, }; static arc arcs_43_4[1] = { - {27, 6}, + {27, 5}, }; static arc arcs_43_5[1] = { - {27, 7}, + {28, 6}, }; -static arc arcs_43_6[1] = { - {28, 8}, +static arc arcs_43_6[2] = { + {99, 7}, + {0, 6}, }; static arc arcs_43_7[1] = { - {28, 9}, + {27, 8}, }; -static arc arcs_43_8[4] = { - {103, 4}, - {98, 10}, - {104, 5}, - {0, 8}, +static arc arcs_43_8[1] = { + {28, 9}, }; static arc arcs_43_9[1] = { {0, 9}, }; -static arc arcs_43_10[1] = { - {27, 11}, -}; -static arc arcs_43_11[1] = { - {28, 12}, -}; -static arc arcs_43_12[2] = { - {104, 5}, - {0, 12}, -}; -static state states_43[13] = { +static state states_43[10] = { {1, arcs_43_0}, {1, arcs_43_1}, {1, arcs_43_2}, - {2, arcs_43_3}, + {1, arcs_43_3}, {1, arcs_43_4}, {1, arcs_43_5}, - {1, arcs_43_6}, + {2, arcs_43_6}, {1, arcs_43_7}, - {4, arcs_43_8}, + {1, arcs_43_8}, {1, arcs_43_9}, - {1, arcs_43_10}, - {1, arcs_43_11}, - {2, arcs_43_12}, }; static arc arcs_44_0[1] = { - {105, 1}, + {103, 1}, }; static arc arcs_44_1[1] = { - {106, 2}, + {27, 2}, }; -static arc arcs_44_2[2] = { - {32, 1}, - {27, 3}, +static arc arcs_44_2[1] = { + {28, 3}, }; -static arc arcs_44_3[1] = { - {28, 4}, +static arc arcs_44_3[2] = { + {104, 4}, + {105, 5}, }; static arc arcs_44_4[1] = { - {0, 4}, + {27, 6}, +}; +static arc arcs_44_5[1] = { + {27, 7}, +}; +static arc arcs_44_6[1] = { + {28, 8}, +}; +static arc arcs_44_7[1] = { + {28, 9}, }; -static state states_44[5] = { +static arc arcs_44_8[4] = { + {104, 4}, + {99, 10}, + {105, 5}, + {0, 8}, +}; +static arc arcs_44_9[1] = { + {0, 9}, +}; +static arc arcs_44_10[1] = { + {27, 11}, +}; +static arc arcs_44_11[1] = { + {28, 12}, +}; +static arc arcs_44_12[2] = { + {105, 5}, + {0, 12}, +}; +static state states_44[13] = { {1, arcs_44_0}, {1, arcs_44_1}, - {2, arcs_44_2}, - {1, arcs_44_3}, + {1, arcs_44_2}, + {2, arcs_44_3}, {1, arcs_44_4}, + {1, arcs_44_5}, + {1, arcs_44_6}, + {1, arcs_44_7}, + {4, arcs_44_8}, + {1, arcs_44_9}, + {1, arcs_44_10}, + {1, arcs_44_11}, + {2, arcs_44_12}, }; static arc arcs_45_0[1] = { - {26, 1}, + {106, 1}, }; -static arc arcs_45_1[2] = { - {85, 2}, - {0, 1}, +static arc arcs_45_1[1] = { + {107, 2}, }; -static arc arcs_45_2[1] = { - {107, 3}, +static arc arcs_45_2[2] = { + {32, 1}, + {27, 3}, }; static arc arcs_45_3[1] = { - {0, 3}, + {28, 4}, }; -static state states_45[4] = { +static arc arcs_45_4[1] = { + {0, 4}, +}; +static state states_45[5] = { {1, arcs_45_0}, - {2, arcs_45_1}, - {1, arcs_45_2}, + {1, arcs_45_1}, + {2, arcs_45_2}, {1, arcs_45_3}, + {1, arcs_45_4}, }; static arc arcs_46_0[1] = { - {108, 1}, + {26, 1}, }; static arc arcs_46_1[2] = { - {26, 2}, + {86, 2}, {0, 1}, }; -static arc arcs_46_2[2] = { - {85, 3}, - {0, 2}, +static arc arcs_46_2[1] = { + {108, 3}, }; static arc arcs_46_3[1] = { - {23, 4}, -}; -static arc arcs_46_4[1] = { - {0, 4}, + {0, 3}, }; -static state states_46[5] = { +static state states_46[4] = { {1, arcs_46_0}, {2, arcs_46_1}, - {2, arcs_46_2}, + {1, arcs_46_2}, {1, arcs_46_3}, - {1, arcs_46_4}, }; -static arc arcs_47_0[2] = { - {3, 1}, - {2, 2}, +static arc arcs_47_0[1] = { + {109, 1}, }; -static arc arcs_47_1[1] = { +static arc arcs_47_1[2] = { + {26, 2}, {0, 1}, }; -static arc arcs_47_2[1] = { - {109, 3}, +static arc arcs_47_2[2] = { + {86, 3}, + {0, 2}, }; static arc arcs_47_3[1] = { - {6, 4}, + {23, 4}, }; -static arc arcs_47_4[2] = { - {6, 4}, - {110, 1}, +static arc arcs_47_4[1] = { + {0, 4}, }; static state states_47[5] = { - {2, arcs_47_0}, - {1, arcs_47_1}, - {1, arcs_47_2}, + {1, arcs_47_0}, + {2, arcs_47_1}, + {2, arcs_47_2}, {1, arcs_47_3}, - {2, arcs_47_4}, + {1, arcs_47_4}, }; static arc arcs_48_0[2] = { - {111, 1}, - {112, 2}, + {3, 1}, + {2, 2}, }; -static arc arcs_48_1[2] = { - {96, 3}, +static arc arcs_48_1[1] = { {0, 1}, }; static arc arcs_48_2[1] = { - {0, 2}, + {110, 3}, }; static arc arcs_48_3[1] = { - {111, 4}, -}; -static arc arcs_48_4[1] = { - {98, 5}, + {6, 4}, }; -static arc arcs_48_5[1] = { - {26, 2}, +static arc arcs_48_4[2] = { + {6, 4}, + {111, 1}, }; -static state states_48[6] = { +static state states_48[5] = { {2, arcs_48_0}, - {2, arcs_48_1}, + {1, arcs_48_1}, {1, arcs_48_2}, {1, arcs_48_3}, - {1, arcs_48_4}, - {1, arcs_48_5}, + {2, arcs_48_4}, }; static arc arcs_49_0[2] = { - {111, 1}, - {114, 1}, + {112, 1}, + {113, 2}, }; -static arc arcs_49_1[1] = { +static arc arcs_49_1[2] = { + {97, 3}, {0, 1}, }; -static state states_49[2] = { - {2, arcs_49_0}, - {1, arcs_49_1}, +static arc arcs_49_2[1] = { + {0, 2}, }; -static arc arcs_50_0[1] = { - {115, 1}, +static arc arcs_49_3[1] = { + {112, 4}, }; -static arc arcs_50_1[2] = { - {35, 2}, - {27, 3}, +static arc arcs_49_4[1] = { + {99, 5}, }; -static arc arcs_50_2[1] = { - {27, 3}, +static arc arcs_49_5[1] = { + {26, 2}, }; -static arc arcs_50_3[1] = { - {26, 4}, +static state states_49[6] = { + {2, arcs_49_0}, + {2, arcs_49_1}, + {1, arcs_49_2}, + {1, arcs_49_3}, + {1, arcs_49_4}, + {1, arcs_49_5}, +}; +static arc arcs_50_0[2] = { + {112, 1}, + {115, 1}, }; -static arc arcs_50_4[1] = { - {0, 4}, +static arc arcs_50_1[1] = { + {0, 1}, }; -static state states_50[5] = { - {1, arcs_50_0}, - {2, arcs_50_1}, - {1, arcs_50_2}, - {1, arcs_50_3}, - {1, arcs_50_4}, +static state states_50[2] = { + {2, arcs_50_0}, + {1, arcs_50_1}, }; static arc arcs_51_0[1] = { - {115, 1}, + {116, 1}, }; static arc arcs_51_1[2] = { {35, 2}, @@ -1199,7 +1200,7 @@ static arc arcs_51_2[1] = { {27, 3}, }; static arc arcs_51_3[1] = { - {113, 4}, + {26, 4}, }; static arc arcs_51_4[1] = { {0, 4}, @@ -1215,108 +1216,120 @@ static arc arcs_52_0[1] = { {116, 1}, }; static arc arcs_52_1[2] = { - {117, 0}, - {0, 1}, + {35, 2}, + {27, 3}, +}; +static arc arcs_52_2[1] = { + {27, 3}, +}; +static arc arcs_52_3[1] = { + {114, 4}, +}; +static arc arcs_52_4[1] = { + {0, 4}, }; -static state states_52[2] = { +static state states_52[5] = { {1, arcs_52_0}, {2, arcs_52_1}, + {1, arcs_52_2}, + {1, arcs_52_3}, + {1, arcs_52_4}, }; static arc arcs_53_0[1] = { - {118, 1}, + {117, 1}, }; static arc arcs_53_1[2] = { - {119, 0}, + {118, 0}, {0, 1}, }; static state states_53[2] = { {1, arcs_53_0}, {2, arcs_53_1}, }; -static arc arcs_54_0[2] = { - {120, 1}, - {121, 2}, +static arc arcs_54_0[1] = { + {119, 1}, +}; +static arc arcs_54_1[2] = { + {120, 0}, + {0, 1}, +}; +static state states_54[2] = { + {1, arcs_54_0}, + {2, arcs_54_1}, }; -static arc arcs_54_1[1] = { - {118, 2}, +static arc arcs_55_0[2] = { + {121, 1}, + {122, 2}, }; -static arc arcs_54_2[1] = { +static arc arcs_55_1[1] = { + {119, 2}, +}; +static arc arcs_55_2[1] = { {0, 2}, }; -static state states_54[3] = { - {2, arcs_54_0}, - {1, arcs_54_1}, - {1, arcs_54_2}, +static state states_55[3] = { + {2, arcs_55_0}, + {1, arcs_55_1}, + {1, arcs_55_2}, }; -static arc arcs_55_0[1] = { - {107, 1}, +static arc arcs_56_0[1] = { + {108, 1}, }; -static arc arcs_55_1[2] = { - {122, 0}, +static arc arcs_56_1[2] = { + {123, 0}, {0, 1}, }; -static state states_55[2] = { - {1, arcs_55_0}, - {2, arcs_55_1}, +static state states_56[2] = { + {1, arcs_56_0}, + {2, arcs_56_1}, }; -static arc arcs_56_0[10] = { - {123, 1}, +static arc arcs_57_0[10] = { {124, 1}, {125, 1}, {126, 1}, {127, 1}, {128, 1}, {129, 1}, - {101, 1}, - {120, 2}, - {130, 3}, + {130, 1}, + {102, 1}, + {121, 2}, + {131, 3}, }; -static arc arcs_56_1[1] = { +static arc arcs_57_1[1] = { {0, 1}, }; -static arc arcs_56_2[1] = { - {101, 1}, +static arc arcs_57_2[1] = { + {102, 1}, }; -static arc arcs_56_3[2] = { - {120, 1}, +static arc arcs_57_3[2] = { + {121, 1}, {0, 3}, }; -static state states_56[4] = { - {10, arcs_56_0}, - {1, arcs_56_1}, - {1, arcs_56_2}, - {2, arcs_56_3}, -}; -static arc arcs_57_0[1] = { - {33, 1}, -}; -static arc arcs_57_1[1] = { - {107, 2}, -}; -static arc arcs_57_2[1] = { - {0, 2}, -}; -static state states_57[3] = { - {1, arcs_57_0}, +static state states_57[4] = { + {10, arcs_57_0}, {1, arcs_57_1}, {1, arcs_57_2}, + {2, arcs_57_3}, }; static arc arcs_58_0[1] = { - {131, 1}, + {33, 1}, }; -static arc arcs_58_1[2] = { - {132, 0}, - {0, 1}, +static arc arcs_58_1[1] = { + {108, 2}, }; -static state states_58[2] = { +static arc arcs_58_2[1] = { + {0, 2}, +}; +static state states_58[3] = { {1, arcs_58_0}, - {2, arcs_58_1}, + {1, arcs_58_1}, + {1, arcs_58_2}, }; static arc arcs_59_0[1] = { - {133, 1}, + {132, 1}, }; static arc arcs_59_1[2] = { - {134, 0}, + {133, 0}, {0, 1}, }; static state states_59[2] = { @@ -1324,10 +1337,10 @@ static state states_59[2] = { {2, arcs_59_1}, }; static arc arcs_60_0[1] = { - {135, 1}, + {134, 1}, }; static arc arcs_60_1[2] = { - {136, 0}, + {135, 0}, {0, 1}, }; static state states_60[2] = { @@ -1335,23 +1348,22 @@ static state states_60[2] = { {2, arcs_60_1}, }; static arc arcs_61_0[1] = { - {137, 1}, + {136, 1}, }; -static arc arcs_61_1[3] = { - {138, 0}, - {139, 0}, +static arc arcs_61_1[2] = { + {137, 0}, {0, 1}, }; static state states_61[2] = { {1, arcs_61_0}, - {3, arcs_61_1}, + {2, arcs_61_1}, }; static arc arcs_62_0[1] = { - {140, 1}, + {138, 1}, }; static arc arcs_62_1[3] = { - {141, 0}, - {142, 0}, + {139, 0}, + {140, 0}, {0, 1}, }; static state states_62[2] = { @@ -1359,528 +1371,540 @@ static state states_62[2] = { {3, arcs_62_1}, }; static arc arcs_63_0[1] = { - {143, 1}, + {141, 1}, +}; +static arc arcs_63_1[3] = { + {142, 0}, + {143, 0}, + {0, 1}, +}; +static state states_63[2] = { + {1, arcs_63_0}, + {3, arcs_63_1}, +}; +static arc arcs_64_0[1] = { + {144, 1}, }; -static arc arcs_63_1[6] = { +static arc arcs_64_1[6] = { {33, 0}, {11, 0}, - {144, 0}, {145, 0}, {146, 0}, + {147, 0}, {0, 1}, }; -static state states_63[2] = { - {1, arcs_63_0}, - {6, arcs_63_1}, +static state states_64[2] = { + {1, arcs_64_0}, + {6, arcs_64_1}, }; -static arc arcs_64_0[4] = { - {141, 1}, +static arc arcs_65_0[4] = { {142, 1}, - {147, 1}, - {148, 2}, + {143, 1}, + {148, 1}, + {149, 2}, }; -static arc arcs_64_1[1] = { - {143, 2}, +static arc arcs_65_1[1] = { + {144, 2}, }; -static arc arcs_64_2[1] = { +static arc arcs_65_2[1] = { {0, 2}, }; -static state states_64[3] = { - {4, arcs_64_0}, - {1, arcs_64_1}, - {1, arcs_64_2}, +static state states_65[3] = { + {4, arcs_65_0}, + {1, arcs_65_1}, + {1, arcs_65_2}, }; -static arc arcs_65_0[1] = { - {149, 1}, +static arc arcs_66_0[1] = { + {150, 1}, }; -static arc arcs_65_1[2] = { +static arc arcs_66_1[2] = { {34, 2}, {0, 1}, }; -static arc arcs_65_2[1] = { - {143, 3}, +static arc arcs_66_2[1] = { + {144, 3}, }; -static arc arcs_65_3[1] = { +static arc arcs_66_3[1] = { {0, 3}, }; -static state states_65[4] = { - {1, arcs_65_0}, - {2, arcs_65_1}, - {1, arcs_65_2}, - {1, arcs_65_3}, -}; -static arc arcs_66_0[2] = { - {150, 1}, - {151, 2}, +static state states_66[4] = { + {1, arcs_66_0}, + {2, arcs_66_1}, + {1, arcs_66_2}, + {1, arcs_66_3}, }; -static arc arcs_66_1[1] = { - {151, 2}, +static arc arcs_67_0[2] = { + {151, 1}, + {152, 2}, }; -static arc arcs_66_2[2] = { +static arc arcs_67_1[1] = { {152, 2}, +}; +static arc arcs_67_2[2] = { + {153, 2}, {0, 2}, }; -static state states_66[3] = { - {2, arcs_66_0}, - {1, arcs_66_1}, - {2, arcs_66_2}, +static state states_67[3] = { + {2, arcs_67_0}, + {1, arcs_67_1}, + {2, arcs_67_2}, }; -static arc arcs_67_0[10] = { +static arc arcs_68_0[10] = { {13, 1}, - {154, 2}, - {156, 3}, + {155, 2}, + {157, 3}, {23, 4}, - {159, 4}, - {160, 5}, - {82, 4}, - {161, 4}, + {160, 4}, + {161, 5}, + {83, 4}, {162, 4}, {163, 4}, + {164, 4}, }; -static arc arcs_67_1[3] = { - {49, 6}, - {153, 6}, +static arc arcs_68_1[3] = { + {50, 6}, + {154, 6}, {15, 4}, }; -static arc arcs_67_2[2] = { - {153, 7}, - {155, 4}, +static arc arcs_68_2[2] = { + {154, 7}, + {156, 4}, }; -static arc arcs_67_3[2] = { - {157, 8}, - {158, 4}, +static arc arcs_68_3[2] = { + {158, 8}, + {159, 4}, }; -static arc arcs_67_4[1] = { +static arc arcs_68_4[1] = { {0, 4}, }; -static arc arcs_67_5[2] = { - {160, 5}, +static arc arcs_68_5[2] = { + {161, 5}, {0, 5}, }; -static arc arcs_67_6[1] = { +static arc arcs_68_6[1] = { {15, 4}, }; -static arc arcs_67_7[1] = { - {155, 4}, +static arc arcs_68_7[1] = { + {156, 4}, }; -static arc arcs_67_8[1] = { - {158, 4}, +static arc arcs_68_8[1] = { + {159, 4}, }; -static state states_67[9] = { - {10, arcs_67_0}, - {3, arcs_67_1}, - {2, arcs_67_2}, - {2, arcs_67_3}, - {1, arcs_67_4}, - {2, arcs_67_5}, - {1, arcs_67_6}, - {1, arcs_67_7}, - {1, arcs_67_8}, -}; -static arc arcs_68_0[2] = { +static state states_68[9] = { + {10, arcs_68_0}, + {3, arcs_68_1}, + {2, arcs_68_2}, + {2, arcs_68_3}, + {1, arcs_68_4}, + {2, arcs_68_5}, + {1, arcs_68_6}, + {1, arcs_68_7}, + {1, arcs_68_8}, +}; +static arc arcs_69_0[2] = { {26, 1}, - {50, 1}, + {51, 1}, }; -static arc arcs_68_1[3] = { - {164, 2}, +static arc arcs_69_1[3] = { + {165, 2}, {32, 3}, {0, 1}, }; -static arc arcs_68_2[1] = { +static arc arcs_69_2[1] = { {0, 2}, }; -static arc arcs_68_3[3] = { +static arc arcs_69_3[3] = { {26, 4}, - {50, 4}, + {51, 4}, {0, 3}, }; -static arc arcs_68_4[2] = { +static arc arcs_69_4[2] = { {32, 3}, {0, 4}, }; -static state states_68[5] = { - {2, arcs_68_0}, - {3, arcs_68_1}, - {1, arcs_68_2}, - {3, arcs_68_3}, - {2, arcs_68_4}, +static state states_69[5] = { + {2, arcs_69_0}, + {3, arcs_69_1}, + {1, arcs_69_2}, + {3, arcs_69_3}, + {2, arcs_69_4}, }; -static arc arcs_69_0[3] = { +static arc arcs_70_0[3] = { {13, 1}, - {154, 2}, - {81, 3}, + {155, 2}, + {82, 3}, }; -static arc arcs_69_1[2] = { +static arc arcs_70_1[2] = { {14, 4}, {15, 5}, }; -static arc arcs_69_2[1] = { - {165, 6}, +static arc arcs_70_2[1] = { + {166, 6}, }; -static arc arcs_69_3[1] = { +static arc arcs_70_3[1] = { {23, 5}, }; -static arc arcs_69_4[1] = { +static arc arcs_70_4[1] = { {15, 5}, }; -static arc arcs_69_5[1] = { +static arc arcs_70_5[1] = { {0, 5}, }; -static arc arcs_69_6[1] = { - {155, 5}, +static arc arcs_70_6[1] = { + {156, 5}, }; -static state states_69[7] = { - {3, arcs_69_0}, - {2, arcs_69_1}, - {1, arcs_69_2}, - {1, arcs_69_3}, - {1, arcs_69_4}, - {1, arcs_69_5}, - {1, arcs_69_6}, +static state states_70[7] = { + {3, arcs_70_0}, + {2, arcs_70_1}, + {1, arcs_70_2}, + {1, arcs_70_3}, + {1, arcs_70_4}, + {1, arcs_70_5}, + {1, arcs_70_6}, }; -static arc arcs_70_0[1] = { - {166, 1}, +static arc arcs_71_0[1] = { + {167, 1}, }; -static arc arcs_70_1[2] = { +static arc arcs_71_1[2] = { {32, 2}, {0, 1}, }; -static arc arcs_70_2[2] = { - {166, 1}, +static arc arcs_71_2[2] = { + {167, 1}, {0, 2}, }; -static state states_70[3] = { - {1, arcs_70_0}, - {2, arcs_70_1}, - {2, arcs_70_2}, +static state states_71[3] = { + {1, arcs_71_0}, + {2, arcs_71_1}, + {2, arcs_71_2}, }; -static arc arcs_71_0[2] = { +static arc arcs_72_0[2] = { {26, 1}, {27, 2}, }; -static arc arcs_71_1[2] = { +static arc arcs_72_1[2] = { {27, 2}, {0, 1}, }; -static arc arcs_71_2[3] = { +static arc arcs_72_2[3] = { {26, 3}, - {167, 4}, + {168, 4}, {0, 2}, }; -static arc arcs_71_3[2] = { - {167, 4}, +static arc arcs_72_3[2] = { + {168, 4}, {0, 3}, }; -static arc arcs_71_4[1] = { +static arc arcs_72_4[1] = { {0, 4}, }; -static state states_71[5] = { - {2, arcs_71_0}, - {2, arcs_71_1}, - {3, arcs_71_2}, - {2, arcs_71_3}, - {1, arcs_71_4}, +static state states_72[5] = { + {2, arcs_72_0}, + {2, arcs_72_1}, + {3, arcs_72_2}, + {2, arcs_72_3}, + {1, arcs_72_4}, }; -static arc arcs_72_0[1] = { +static arc arcs_73_0[1] = { {27, 1}, }; -static arc arcs_72_1[2] = { +static arc arcs_73_1[2] = { {26, 2}, {0, 1}, }; -static arc arcs_72_2[1] = { +static arc arcs_73_2[1] = { {0, 2}, }; -static state states_72[3] = { - {1, arcs_72_0}, - {2, arcs_72_1}, - {1, arcs_72_2}, +static state states_73[3] = { + {1, arcs_73_0}, + {2, arcs_73_1}, + {1, arcs_73_2}, }; -static arc arcs_73_0[2] = { - {107, 1}, - {50, 1}, +static arc arcs_74_0[2] = { + {108, 1}, + {51, 1}, }; -static arc arcs_73_1[2] = { +static arc arcs_74_1[2] = { {32, 2}, {0, 1}, }; -static arc arcs_73_2[3] = { - {107, 1}, - {50, 1}, +static arc arcs_74_2[3] = { + {108, 1}, + {51, 1}, {0, 2}, }; -static state states_73[3] = { - {2, arcs_73_0}, - {2, arcs_73_1}, - {3, arcs_73_2}, +static state states_74[3] = { + {2, arcs_74_0}, + {2, arcs_74_1}, + {3, arcs_74_2}, }; -static arc arcs_74_0[1] = { +static arc arcs_75_0[1] = { {26, 1}, }; -static arc arcs_74_1[2] = { +static arc arcs_75_1[2] = { {32, 2}, {0, 1}, }; -static arc arcs_74_2[2] = { +static arc arcs_75_2[2] = { {26, 1}, {0, 2}, }; -static state states_74[3] = { - {1, arcs_74_0}, - {2, arcs_74_1}, - {2, arcs_74_2}, +static state states_75[3] = { + {1, arcs_75_0}, + {2, arcs_75_1}, + {2, arcs_75_2}, }; -static arc arcs_75_0[3] = { +static arc arcs_76_0[3] = { {26, 1}, {34, 2}, - {50, 3}, + {51, 3}, }; -static arc arcs_75_1[4] = { +static arc arcs_76_1[4] = { {27, 4}, - {164, 5}, + {165, 5}, {32, 6}, {0, 1}, }; -static arc arcs_75_2[1] = { - {107, 7}, +static arc arcs_76_2[1] = { + {108, 7}, }; -static arc arcs_75_3[3] = { - {164, 5}, +static arc arcs_76_3[3] = { + {165, 5}, {32, 6}, {0, 3}, }; -static arc arcs_75_4[1] = { +static arc arcs_76_4[1] = { {26, 7}, }; -static arc arcs_75_5[1] = { +static arc arcs_76_5[1] = { {0, 5}, }; -static arc arcs_75_6[3] = { +static arc arcs_76_6[3] = { {26, 8}, - {50, 8}, + {51, 8}, {0, 6}, }; -static arc arcs_75_7[3] = { - {164, 5}, +static arc arcs_76_7[3] = { + {165, 5}, {32, 9}, {0, 7}, }; -static arc arcs_75_8[2] = { +static arc arcs_76_8[2] = { {32, 6}, {0, 8}, }; -static arc arcs_75_9[3] = { +static arc arcs_76_9[3] = { {26, 10}, {34, 11}, {0, 9}, }; -static arc arcs_75_10[1] = { +static arc arcs_76_10[1] = { {27, 12}, }; -static arc arcs_75_11[1] = { - {107, 13}, +static arc arcs_76_11[1] = { + {108, 13}, }; -static arc arcs_75_12[1] = { +static arc arcs_76_12[1] = { {26, 13}, }; -static arc arcs_75_13[2] = { +static arc arcs_76_13[2] = { {32, 9}, {0, 13}, }; -static state states_75[14] = { - {3, arcs_75_0}, - {4, arcs_75_1}, - {1, arcs_75_2}, - {3, arcs_75_3}, - {1, arcs_75_4}, - {1, arcs_75_5}, - {3, arcs_75_6}, - {3, arcs_75_7}, - {2, arcs_75_8}, - {3, arcs_75_9}, - {1, arcs_75_10}, - {1, arcs_75_11}, - {1, arcs_75_12}, - {2, arcs_75_13}, -}; -static arc arcs_76_0[1] = { - {168, 1}, -}; -static arc arcs_76_1[1] = { +static state states_76[14] = { + {3, arcs_76_0}, + {4, arcs_76_1}, + {1, arcs_76_2}, + {3, arcs_76_3}, + {1, arcs_76_4}, + {1, arcs_76_5}, + {3, arcs_76_6}, + {3, arcs_76_7}, + {2, arcs_76_8}, + {3, arcs_76_9}, + {1, arcs_76_10}, + {1, arcs_76_11}, + {1, arcs_76_12}, + {2, arcs_76_13}, +}; +static arc arcs_77_0[1] = { + {169, 1}, +}; +static arc arcs_77_1[1] = { {23, 2}, }; -static arc arcs_76_2[2] = { +static arc arcs_77_2[2] = { {13, 3}, {27, 4}, }; -static arc arcs_76_3[2] = { +static arc arcs_77_3[2] = { {14, 5}, {15, 6}, }; -static arc arcs_76_4[1] = { +static arc arcs_77_4[1] = { {28, 7}, }; -static arc arcs_76_5[1] = { +static arc arcs_77_5[1] = { {15, 6}, }; -static arc arcs_76_6[1] = { +static arc arcs_77_6[1] = { {27, 4}, }; -static arc arcs_76_7[1] = { +static arc arcs_77_7[1] = { {0, 7}, }; -static state states_76[8] = { - {1, arcs_76_0}, - {1, arcs_76_1}, - {2, arcs_76_2}, - {2, arcs_76_3}, - {1, arcs_76_4}, - {1, arcs_76_5}, - {1, arcs_76_6}, - {1, arcs_76_7}, +static state states_77[8] = { + {1, arcs_77_0}, + {1, arcs_77_1}, + {2, arcs_77_2}, + {2, arcs_77_3}, + {1, arcs_77_4}, + {1, arcs_77_5}, + {1, arcs_77_6}, + {1, arcs_77_7}, }; -static arc arcs_77_0[1] = { - {169, 1}, +static arc arcs_78_0[1] = { + {170, 1}, }; -static arc arcs_77_1[2] = { +static arc arcs_78_1[2] = { {32, 2}, {0, 1}, }; -static arc arcs_77_2[2] = { - {169, 1}, +static arc arcs_78_2[2] = { + {170, 1}, {0, 2}, }; -static state states_77[3] = { - {1, arcs_77_0}, - {2, arcs_77_1}, - {2, arcs_77_2}, +static state states_78[3] = { + {1, arcs_78_0}, + {2, arcs_78_1}, + {2, arcs_78_2}, }; -static arc arcs_78_0[3] = { +static arc arcs_79_0[3] = { {26, 1}, {34, 2}, {33, 2}, }; -static arc arcs_78_1[3] = { - {164, 3}, +static arc arcs_79_1[3] = { + {165, 3}, {31, 2}, {0, 1}, }; -static arc arcs_78_2[1] = { +static arc arcs_79_2[1] = { {26, 3}, }; -static arc arcs_78_3[1] = { +static arc arcs_79_3[1] = { {0, 3}, }; -static state states_78[4] = { - {3, arcs_78_0}, - {3, arcs_78_1}, - {1, arcs_78_2}, - {1, arcs_78_3}, +static state states_79[4] = { + {3, arcs_79_0}, + {3, arcs_79_1}, + {1, arcs_79_2}, + {1, arcs_79_3}, }; -static arc arcs_79_0[2] = { - {164, 1}, - {171, 1}, +static arc arcs_80_0[2] = { + {165, 1}, + {172, 1}, }; -static arc arcs_79_1[1] = { +static arc arcs_80_1[1] = { {0, 1}, }; -static state states_79[2] = { - {2, arcs_79_0}, - {1, arcs_79_1}, +static state states_80[2] = { + {2, arcs_80_0}, + {1, arcs_80_1}, }; -static arc arcs_80_0[1] = { - {100, 1}, +static arc arcs_81_0[1] = { + {101, 1}, }; -static arc arcs_80_1[1] = { - {65, 2}, +static arc arcs_81_1[1] = { + {66, 2}, }; -static arc arcs_80_2[1] = { - {101, 3}, +static arc arcs_81_2[1] = { + {102, 3}, }; -static arc arcs_80_3[1] = { - {111, 4}, +static arc arcs_81_3[1] = { + {112, 4}, }; -static arc arcs_80_4[2] = { - {170, 5}, +static arc arcs_81_4[2] = { + {171, 5}, {0, 4}, }; -static arc arcs_80_5[1] = { +static arc arcs_81_5[1] = { {0, 5}, }; -static state states_80[6] = { - {1, arcs_80_0}, - {1, arcs_80_1}, - {1, arcs_80_2}, - {1, arcs_80_3}, - {2, arcs_80_4}, - {1, arcs_80_5}, +static state states_81[6] = { + {1, arcs_81_0}, + {1, arcs_81_1}, + {1, arcs_81_2}, + {1, arcs_81_3}, + {2, arcs_81_4}, + {1, arcs_81_5}, }; -static arc arcs_81_0[1] = { - {96, 1}, +static arc arcs_82_0[1] = { + {97, 1}, }; -static arc arcs_81_1[1] = { - {113, 2}, +static arc arcs_82_1[1] = { + {114, 2}, }; -static arc arcs_81_2[2] = { - {170, 3}, +static arc arcs_82_2[2] = { + {171, 3}, {0, 2}, }; -static arc arcs_81_3[1] = { +static arc arcs_82_3[1] = { {0, 3}, }; -static state states_81[4] = { - {1, arcs_81_0}, - {1, arcs_81_1}, - {2, arcs_81_2}, - {1, arcs_81_3}, +static state states_82[4] = { + {1, arcs_82_0}, + {1, arcs_82_1}, + {2, arcs_82_2}, + {1, arcs_82_3}, }; -static arc arcs_82_0[1] = { +static arc arcs_83_0[1] = { {23, 1}, }; -static arc arcs_82_1[1] = { +static arc arcs_83_1[1] = { {0, 1}, }; -static state states_82[2] = { - {1, arcs_82_0}, - {1, arcs_82_1}, +static state states_83[2] = { + {1, arcs_83_0}, + {1, arcs_83_1}, }; -static arc arcs_83_0[1] = { - {173, 1}, +static arc arcs_84_0[1] = { + {174, 1}, }; -static arc arcs_83_1[2] = { - {174, 2}, +static arc arcs_84_1[2] = { + {175, 2}, {0, 1}, }; -static arc arcs_83_2[1] = { +static arc arcs_84_2[1] = { {0, 2}, }; -static state states_83[3] = { - {1, arcs_83_0}, - {2, arcs_83_1}, - {1, arcs_83_2}, +static state states_84[3] = { + {1, arcs_84_0}, + {2, arcs_84_1}, + {1, arcs_84_2}, }; -static arc arcs_84_0[2] = { - {76, 1}, +static arc arcs_85_0[2] = { + {77, 1}, {9, 2}, }; -static arc arcs_84_1[1] = { +static arc arcs_85_1[1] = { {26, 2}, }; -static arc arcs_84_2[1] = { +static arc arcs_85_2[1] = { {0, 2}, }; -static state states_84[3] = { - {2, arcs_84_0}, - {1, arcs_84_1}, - {1, arcs_84_2}, +static state states_85[3] = { + {2, arcs_85_0}, + {1, arcs_85_1}, + {1, arcs_85_2}, }; -static dfa dfas[85] = { +static dfa dfas[86] = { {256, "single_input", 0, 3, states_0, - "\004\050\340\000\002\000\000\000\005\237\204\003\131\002\010\001\000\140\110\224\017\041"}, + "\004\050\340\000\002\000\000\000\012\076\011\007\262\004\020\002\000\300\220\050\037\102"}, {257, "file_input", 0, 2, states_1, - "\204\050\340\000\002\000\000\000\005\237\204\003\131\002\010\001\000\140\110\224\017\041"}, + "\204\050\340\000\002\000\000\000\012\076\011\007\262\004\020\002\000\300\220\050\037\102"}, {258, "eval_input", 0, 3, states_2, - "\000\040\200\000\000\000\000\000\000\000\004\000\000\000\010\001\000\140\110\224\017\000"}, + "\000\040\200\000\000\000\000\000\000\000\010\000\000\000\020\002\000\300\220\050\037\000"}, {259, "decorator", 0, 7, states_3, "\000\010\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000"}, {260, "decorators", 0, 2, states_4, @@ -1902,170 +1926,172 @@ static dfa dfas[85] = { {268, "vfpdef", 0, 2, states_12, "\000\000\200\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000"}, {269, "stmt", 0, 2, states_13, - "\000\050\340\000\002\000\000\000\005\237\204\003\131\002\010\001\000\140\110\224\017\041"}, + "\000\050\340\000\002\000\000\000\012\076\011\007\262\004\020\002\000\300\220\050\037\102"}, {270, "simple_stmt", 0, 4, states_14, - "\000\040\200\000\002\000\000\000\005\237\204\003\000\000\010\001\000\140\110\224\017\040"}, + "\000\040\200\000\002\000\000\000\012\076\011\007\000\000\020\002\000\300\220\050\037\100"}, {271, "small_stmt", 0, 2, states_15, - "\000\040\200\000\002\000\000\000\005\237\204\003\000\000\010\001\000\140\110\224\017\040"}, + "\000\040\200\000\002\000\000\000\012\076\011\007\000\000\020\002\000\300\220\050\037\100"}, {272, "expr_stmt", 0, 6, states_16, - "\000\040\200\000\002\000\000\000\000\000\004\000\000\000\010\001\000\140\110\224\017\000"}, - {273, "testlist_star_expr", 0, 3, states_17, - "\000\040\200\000\002\000\000\000\000\000\004\000\000\000\010\001\000\140\110\224\017\000"}, - {274, "augassign", 0, 2, states_18, - "\000\000\000\000\000\000\370\377\000\000\000\000\000\000\000\000\000\000\000\000\000\000"}, - {275, "del_stmt", 0, 3, states_19, - "\000\000\000\000\000\000\000\000\001\000\000\000\000\000\000\000\000\000\000\000\000\000"}, - {276, "pass_stmt", 0, 2, states_20, - "\000\000\000\000\000\000\000\000\004\000\000\000\000\000\000\000\000\000\000\000\000\000"}, - {277, "flow_stmt", 0, 2, states_21, - "\000\000\000\000\000\000\000\000\000\017\000\000\000\000\000\000\000\000\000\000\000\040"}, - {278, "break_stmt", 0, 2, states_22, - "\000\000\000\000\000\000\000\000\000\001\000\000\000\000\000\000\000\000\000\000\000\000"}, - {279, "continue_stmt", 0, 2, states_23, + "\000\040\200\000\002\000\000\000\000\000\010\000\000\000\020\002\000\300\220\050\037\000"}, + {273, "annassign", 0, 5, states_17, + "\000\000\000\010\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000"}, + {274, "testlist_star_expr", 0, 3, states_18, + "\000\040\200\000\002\000\000\000\000\000\010\000\000\000\020\002\000\300\220\050\037\000"}, + {275, "augassign", 0, 2, states_19, + "\000\000\000\000\000\000\360\377\001\000\000\000\000\000\000\000\000\000\000\000\000\000"}, + {276, "del_stmt", 0, 3, states_20, + "\000\000\000\000\000\000\000\000\002\000\000\000\000\000\000\000\000\000\000\000\000\000"}, + {277, "pass_stmt", 0, 2, states_21, + "\000\000\000\000\000\000\000\000\010\000\000\000\000\000\000\000\000\000\000\000\000\000"}, + {278, "flow_stmt", 0, 2, states_22, + "\000\000\000\000\000\000\000\000\000\036\000\000\000\000\000\000\000\000\000\000\000\100"}, + {279, "break_stmt", 0, 2, states_23, "\000\000\000\000\000\000\000\000\000\002\000\000\000\000\000\000\000\000\000\000\000\000"}, - {280, "return_stmt", 0, 3, states_24, + {280, "continue_stmt", 0, 2, states_24, "\000\000\000\000\000\000\000\000\000\004\000\000\000\000\000\000\000\000\000\000\000\000"}, - {281, "yield_stmt", 0, 2, states_25, - "\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\040"}, - {282, "raise_stmt", 0, 5, states_26, + {281, "return_stmt", 0, 3, states_25, "\000\000\000\000\000\000\000\000\000\010\000\000\000\000\000\000\000\000\000\000\000\000"}, - {283, "import_stmt", 0, 2, states_27, - "\000\000\000\000\000\000\000\000\000\220\000\000\000\000\000\000\000\000\000\000\000\000"}, - {284, "import_name", 0, 3, states_28, - "\000\000\000\000\000\000\000\000\000\200\000\000\000\000\000\000\000\000\000\000\000\000"}, - {285, "import_from", 0, 8, states_29, + {282, "yield_stmt", 0, 2, states_26, + "\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\100"}, + {283, "raise_stmt", 0, 5, states_27, "\000\000\000\000\000\000\000\000\000\020\000\000\000\000\000\000\000\000\000\000\000\000"}, - {286, "import_as_name", 0, 4, states_30, + {284, "import_stmt", 0, 2, states_28, + "\000\000\000\000\000\000\000\000\000\040\001\000\000\000\000\000\000\000\000\000\000\000"}, + {285, "import_name", 0, 3, states_29, + "\000\000\000\000\000\000\000\000\000\000\001\000\000\000\000\000\000\000\000\000\000\000"}, + {286, "import_from", 0, 8, states_30, + "\000\000\000\000\000\000\000\000\000\040\000\000\000\000\000\000\000\000\000\000\000\000"}, + {287, "import_as_name", 0, 4, states_31, "\000\000\200\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000"}, - {287, "dotted_as_name", 0, 4, states_31, + {288, "dotted_as_name", 0, 4, states_32, "\000\000\200\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000"}, - {288, 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"\000\000\000\000\000\000\000\000\000\000\000\000\040\000\000\000\000\000\000\000\000\000"}, + {338, "comp_if", 0, 4, states_82, + "\000\000\000\000\000\000\000\000\000\000\000\000\002\000\000\000\000\000\000\000\000\000"}, + {339, "encoding_decl", 0, 2, states_83, "\000\000\200\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000"}, - {339, "yield_expr", 0, 3, states_83, - "\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\040"}, - {340, "yield_arg", 0, 3, states_84, - "\000\040\200\000\000\000\000\000\000\020\004\000\000\000\010\001\000\140\110\224\017\000"}, + {340, "yield_expr", 0, 3, states_84, + "\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\000\100"}, + {341, "yield_arg", 0, 3, states_85, + "\000\040\200\000\000\000\000\000\000\040\010\000\000\000\020\002\000\300\220\050\037\000"}, }; -static label labels[175] = { +static label labels[176] = { {0, "EMPTY"}, {256, 0}, {4, 0}, {270, 0}, - {294, 0}, + {295, 0}, {257, 0}, {269, 0}, {0, 0}, {258, 0}, - {330, 0}, + {331, 0}, {259, 0}, {49, 0}, - {290, 0}, + {291, 0}, {7, 0}, - {333, 0}, + {334, 0}, {8, 0}, {260, 0}, {261, 0}, - {332, 0}, + {333, 0}, {263, 0}, {262, 0}, {55, 0}, @@ -2073,9 +2099,9 @@ static label labels[175] = { {1, 0}, {264, 0}, {51, 0}, - {304, 0}, + {305, 0}, {11, 0}, - {303, 0}, + {304, 0}, {265, 0}, {266, 0}, {22, 0}, @@ -2087,17 +2113,18 @@ static label labels[175] = { {271, 0}, {13, 0}, {272, 0}, - {275, 0}, {276, 0}, {277, 0}, - {283, 0}, - {291, 0}, + {278, 0}, + {284, 0}, {292, 0}, {293, 0}, - {273, 0}, + {294, 0}, {274, 0}, - {339, 0}, - {313, 0}, + {273, 0}, + {275, 0}, + {340, 0}, + {314, 0}, {36, 0}, {37, 0}, {38, 0}, @@ -2112,37 +2139,37 @@ static label labels[175] = { {46, 0}, {48, 0}, {1, "del"}, - {329, 0}, + {330, 0}, {1, "pass"}, - {278, 0}, {279, 0}, {280, 0}, - {282, 0}, {281, 0}, + {283, 0}, + {282, 0}, {1, "break"}, {1, "continue"}, {1, "return"}, {1, "raise"}, {1, "from"}, - {284, 0}, {285, 0}, + {286, 0}, {1, "import"}, - {289, 0}, + {290, 0}, {23, 0}, {52, 0}, - {288, 0}, - {286, 0}, - {1, "as"}, + {289, 0}, {287, 0}, + {1, "as"}, + {288, 0}, {1, "global"}, {1, "nonlocal"}, {1, "assert"}, - {296, 0}, {297, 0}, {298, 0}, {299, 0}, {300, 0}, - {295, 0}, + {301, 0}, + {296, 0}, {1, "if"}, {1, "elif"}, {1, "else"}, @@ -2150,26 +2177,26 @@ static label labels[175] = { {1, "for"}, {1, "in"}, {1, "try"}, - {302, 0}, + {303, 0}, {1, "finally"}, {1, "with"}, - {301, 0}, - {314, 0}, + {302, 0}, + {315, 0}, {1, "except"}, {5, 0}, {6, 0}, - {308, 0}, - {306, 0}, - {305, 0}, + {309, 0}, {307, 0}, + {306, 0}, + {308, 0}, {1, "lambda"}, - {309, 0}, - {1, "or"}, {310, 0}, + {1, "or"}, + {311, 0}, {1, "and"}, {1, "not"}, - {311, 0}, {312, 0}, + {313, 0}, {20, 0}, {21, 0}, {27, 0}, @@ -2178,54 +2205,54 @@ static label labels[175] = { {28, 0}, {28, 0}, {1, "is"}, - {315, 0}, - {18, 0}, {316, 0}, - {32, 0}, + {18, 0}, {317, 0}, - {19, 0}, + {32, 0}, {318, 0}, + {19, 0}, + {319, 0}, {33, 0}, {34, 0}, - {319, 0}, + {320, 0}, {14, 0}, {15, 0}, - {320, 0}, + {321, 0}, {17, 0}, {24, 0}, {47, 0}, {31, 0}, - {321, 0}, {322, 0}, - {54, 0}, {323, 0}, - {325, 0}, + {54, 0}, {324, 0}, + {326, 0}, + {325, 0}, {9, 0}, {10, 0}, {25, 0}, - {331, 0}, + {332, 0}, {26, 0}, {2, 0}, {3, 0}, {1, "None"}, {1, "True"}, {1, "False"}, - {336, 0}, - {326, 0}, + {337, 0}, {327, 0}, {328, 0}, + {329, 0}, {1, "class"}, - {334, 0}, {335, 0}, - {337, 0}, + {336, 0}, {338, 0}, + {339, 0}, {1, "yield"}, - {340, 0}, + {341, 0}, }; grammar _PyParser_Grammar = { - 85, + 86, dfas, - {175, labels}, + {176, labels}, 256 }; diff --git a/Python/importlib_external.h b/Python/importlib_external.h index ce51981fcd..7ffb25ede8 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -242,7 +242,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,95,97,116,111,109,105,99,106,0,0,0,115,26,0,0, 0,0,5,16,1,6,1,26,1,2,3,14,1,20,1,16, 1,14,1,2,1,14,1,14,1,6,1,114,58,0,0,0, - 105,45,13,0,0,233,2,0,0,0,114,15,0,0,0,115, + 105,47,13,0,0,233,2,0,0,0,114,15,0,0,0,115, 2,0,0,0,13,10,90,11,95,95,112,121,99,97,99,104, 101,95,95,122,4,111,112,116,45,122,3,46,112,121,122,4, 46,112,121,99,78,41,1,218,12,111,112,116,105,109,105,122, @@ -346,7 +346,7 @@ const unsigned char _Py_M__importlib_external[] = { 103,90,15,97,108,109,111,115,116,95,102,105,108,101,110,97, 109,101,114,4,0,0,0,114,4,0,0,0,114,6,0,0, 0,218,17,99,97,99,104,101,95,102,114,111,109,95,115,111, - 117,114,99,101,1,1,0,0,115,48,0,0,0,0,18,8, + 117,114,99,101,3,1,0,0,115,48,0,0,0,0,18,8, 1,6,1,6,1,8,1,4,1,8,1,12,1,10,1,12, 1,16,1,8,1,8,1,8,1,24,1,8,1,12,1,6, 2,8,1,8,1,8,1,8,1,14,1,14,1,114,83,0, @@ -420,7 +420,7 @@ const unsigned char _Py_M__importlib_external[] = { 112,116,95,108,101,118,101,108,90,13,98,97,115,101,95,102, 105,108,101,110,97,109,101,114,4,0,0,0,114,4,0,0, 0,114,6,0,0,0,218,17,115,111,117,114,99,101,95,102, - 114,111,109,95,99,97,99,104,101,46,1,0,0,115,46,0, + 114,111,109,95,99,97,99,104,101,48,1,0,0,115,46,0, 0,0,0,9,12,1,8,1,10,1,12,1,12,1,8,1, 6,1,10,1,10,1,8,1,6,1,10,1,8,1,16,1, 10,1,6,1,8,1,16,1,8,1,6,1,8,1,14,1, @@ -456,7 +456,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,105,111,110,218,11,115,111,117,114,99,101,95,112,97,116, 104,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, 218,15,95,103,101,116,95,115,111,117,114,99,101,102,105,108, - 101,80,1,0,0,115,20,0,0,0,0,7,12,1,4,1, + 101,82,1,0,0,115,20,0,0,0,0,7,12,1,4,1, 16,1,26,1,4,1,2,1,12,1,18,1,18,1,114,95, 0,0,0,99,1,0,0,0,0,0,0,0,1,0,0,0, 11,0,0,0,67,0,0,0,115,74,0,0,0,124,0,106, @@ -469,7 +469,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,114,83,0,0,0,114,70,0,0,0,114,78,0,0, 0,41,1,218,8,102,105,108,101,110,97,109,101,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,11,95,103, - 101,116,95,99,97,99,104,101,100,99,1,0,0,115,16,0, + 101,116,95,99,97,99,104,101,100,101,1,0,0,115,16,0, 0,0,0,1,14,1,2,1,8,1,14,1,8,1,14,1, 6,2,114,99,0,0,0,99,1,0,0,0,0,0,0,0, 2,0,0,0,11,0,0,0,67,0,0,0,115,52,0,0, @@ -483,7 +483,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,233,128,0,0,0,41,3,114,41,0,0,0,114,43,0, 0,0,114,42,0,0,0,41,2,114,37,0,0,0,114,44, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,10,95,99,97,108,99,95,109,111,100,101,111,1, + 0,0,218,10,95,99,97,108,99,95,109,111,100,101,113,1, 0,0,115,12,0,0,0,0,2,2,1,14,1,14,1,10, 3,8,1,114,101,0,0,0,99,1,0,0,0,0,0,0, 0,3,0,0,0,11,0,0,0,3,0,0,0,115,68,0, @@ -521,7 +521,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,90,6,107,119,97,114,103,115,41,1,218,6,109,101,116, 104,111,100,114,4,0,0,0,114,6,0,0,0,218,19,95, 99,104,101,99,107,95,110,97,109,101,95,119,114,97,112,112, - 101,114,131,1,0,0,115,12,0,0,0,0,1,8,1,8, + 101,114,133,1,0,0,115,12,0,0,0,0,1,8,1,8, 1,10,1,4,1,20,1,122,40,95,99,104,101,99,107,95, 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, @@ -541,7 +541,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 100,114,55,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,218,5,95,119,114,97,112,142,1,0,0, + 114,6,0,0,0,218,5,95,119,114,97,112,144,1,0,0, 115,8,0,0,0,0,1,10,1,10,1,22,1,122,26,95, 99,104,101,99,107,95,110,97,109,101,46,60,108,111,99,97, 108,115,62,46,95,119,114,97,112,41,1,78,41,3,218,10, @@ -549,7 +549,7 @@ const unsigned char _Py_M__importlib_external[] = { 9,78,97,109,101,69,114,114,111,114,41,3,114,106,0,0, 0,114,107,0,0,0,114,117,0,0,0,114,4,0,0,0, 41,1,114,106,0,0,0,114,6,0,0,0,218,11,95,99, - 104,101,99,107,95,110,97,109,101,123,1,0,0,115,14,0, + 104,101,99,107,95,110,97,109,101,125,1,0,0,115,14,0, 0,0,0,8,14,7,2,1,10,1,14,2,14,5,10,1, 114,120,0,0,0,99,2,0,0,0,0,0,0,0,5,0, 0,0,4,0,0,0,67,0,0,0,115,60,0,0,0,124, @@ -577,7 +577,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 0,0,114,6,0,0,0,218,17,95,102,105,110,100,95,109, - 111,100,117,108,101,95,115,104,105,109,151,1,0,0,115,10, + 111,100,117,108,101,95,115,104,105,109,153,1,0,0,115,10, 0,0,0,0,10,14,1,16,1,4,1,22,1,114,127,0, 0,0,99,4,0,0,0,0,0,0,0,11,0,0,0,19, 0,0,0,67,0,0,0,115,128,1,0,0,105,0,125,4, @@ -657,7 +657,7 @@ const unsigned char _Py_M__importlib_external[] = { 111,117,114,99,101,95,115,105,122,101,114,4,0,0,0,114, 4,0,0,0,114,6,0,0,0,218,25,95,118,97,108,105, 100,97,116,101,95,98,121,116,101,99,111,100,101,95,104,101, - 97,100,101,114,168,1,0,0,115,76,0,0,0,0,11,4, + 97,100,101,114,170,1,0,0,115,76,0,0,0,0,11,4, 1,8,1,10,3,4,1,8,1,8,1,12,1,12,1,12, 1,8,1,12,1,12,1,12,1,12,1,10,1,12,1,10, 1,12,1,10,1,12,1,8,1,10,1,2,1,16,1,14, @@ -686,7 +686,7 @@ const unsigned char _Py_M__importlib_external[] = { 5,114,56,0,0,0,114,102,0,0,0,114,93,0,0,0, 114,94,0,0,0,218,4,99,111,100,101,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,17,95,99,111,109, - 112,105,108,101,95,98,121,116,101,99,111,100,101,223,1,0, + 112,105,108,101,95,98,121,116,101,99,111,100,101,225,1,0, 0,115,16,0,0,0,0,2,10,1,10,1,12,1,8,1, 12,1,6,2,12,1,114,145,0,0,0,114,62,0,0,0, 99,3,0,0,0,0,0,0,0,4,0,0,0,3,0,0, @@ -705,7 +705,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,41,4,114,144,0,0,0,114,130,0,0,0,114,138,0, 0,0,114,56,0,0,0,114,4,0,0,0,114,4,0,0, 0,114,6,0,0,0,218,17,95,99,111,100,101,95,116,111, - 95,98,121,116,101,99,111,100,101,235,1,0,0,115,10,0, + 95,98,121,116,101,99,111,100,101,237,1,0,0,115,10,0, 0,0,0,3,8,1,14,1,14,1,16,1,114,148,0,0, 0,99,1,0,0,0,0,0,0,0,5,0,0,0,4,0, 0,0,67,0,0,0,115,62,0,0,0,100,1,100,2,108, @@ -732,7 +732,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 0,114,4,0,0,0,114,6,0,0,0,218,13,100,101,99, - 111,100,101,95,115,111,117,114,99,101,245,1,0,0,115,10, + 111,100,101,95,115,111,117,114,99,101,247,1,0,0,115,10, 0,0,0,0,5,8,1,12,1,10,1,12,1,114,153,0, 0,0,41,2,114,124,0,0,0,218,26,115,117,98,109,111, 100,117,108,101,95,115,101,97,114,99,104,95,108,111,99,97, @@ -794,7 +794,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,90,7,100,105,114,110,97,109,101,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,23,115,112,101,99, 95,102,114,111,109,95,102,105,108,101,95,108,111,99,97,116, - 105,111,110,6,2,0,0,115,62,0,0,0,0,12,8,4, + 105,111,110,8,2,0,0,115,62,0,0,0,0,12,8,4, 4,1,10,2,2,1,14,1,14,1,8,2,10,8,18,1, 6,3,8,1,16,1,14,1,10,1,6,1,6,2,4,3, 8,2,10,1,2,1,14,1,14,1,6,2,4,1,8,2, @@ -830,7 +830,7 @@ const unsigned char _Py_M__importlib_external[] = { 72,75,69,89,95,76,79,67,65,76,95,77,65,67,72,73, 78,69,41,2,218,3,99,108,115,114,5,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,218,14,95, - 111,112,101,110,95,114,101,103,105,115,116,114,121,86,2,0, + 111,112,101,110,95,114,101,103,105,115,116,114,121,88,2,0, 0,115,8,0,0,0,0,2,2,1,14,1,14,1,122,36, 87,105,110,100,111,119,115,82,101,103,105,115,116,114,121,70, 105,110,100,101,114,46,95,111,112,101,110,95,114,101,103,105, @@ -856,7 +856,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,121,95,107,101,121,114,5,0,0,0,90,4,104,107,101, 121,218,8,102,105,108,101,112,97,116,104,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,16,95,115,101,97, - 114,99,104,95,114,101,103,105,115,116,114,121,93,2,0,0, + 114,99,104,95,114,101,103,105,115,116,114,121,95,2,0,0, 115,22,0,0,0,0,2,6,1,8,2,6,1,10,1,22, 1,2,1,12,1,26,1,14,1,6,1,122,38,87,105,110, 100,111,119,115,82,101,103,105,115,116,114,121,70,105,110,100, @@ -878,7 +878,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,37,0,0,0,218,6,116,97,114,103,101,116, 114,174,0,0,0,114,124,0,0,0,114,164,0,0,0,114, 162,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,218,9,102,105,110,100,95,115,112,101,99,108,2, + 0,0,0,218,9,102,105,110,100,95,115,112,101,99,110,2, 0,0,115,26,0,0,0,0,2,10,1,8,1,4,1,2, 1,12,1,14,1,6,1,16,1,14,1,6,1,10,1,8, 1,122,31,87,105,110,100,111,119,115,82,101,103,105,115,116, @@ -897,7 +897,7 @@ const unsigned char _Py_M__importlib_external[] = { 78,41,2,114,178,0,0,0,114,124,0,0,0,41,4,114, 168,0,0,0,114,123,0,0,0,114,37,0,0,0,114,162, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,11,102,105,110,100,95,109,111,100,117,108,101,124, + 0,0,218,11,102,105,110,100,95,109,111,100,117,108,101,126, 2,0,0,115,8,0,0,0,0,7,12,1,8,1,8,2, 122,33,87,105,110,100,111,119,115,82,101,103,105,115,116,114, 121,70,105,110,100,101,114,46,102,105,110,100,95,109,111,100, @@ -907,7 +907,7 @@ const unsigned char _Py_M__importlib_external[] = { 11,99,108,97,115,115,109,101,116,104,111,100,114,169,0,0, 0,114,175,0,0,0,114,178,0,0,0,114,179,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,166,0,0,0,74,2,0,0,115,20,0, + 6,0,0,0,114,166,0,0,0,76,2,0,0,115,20,0, 0,0,8,2,4,3,4,3,4,2,4,2,12,7,12,15, 2,1,12,15,2,1,114,166,0,0,0,99,0,0,0,0, 0,0,0,0,0,0,0,0,2,0,0,0,64,0,0,0, @@ -942,7 +942,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,123,0,0,0,114,98,0,0,0,90,13,102,105,108, 101,110,97,109,101,95,98,97,115,101,90,9,116,97,105,108, 95,110,97,109,101,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,157,0,0,0,143,2,0,0,115,8,0, + 6,0,0,0,114,157,0,0,0,145,2,0,0,115,8,0, 0,0,0,3,18,1,16,1,14,1,122,24,95,76,111,97, 100,101,114,66,97,115,105,99,115,46,105,115,95,112,97,99, 107,97,103,101,99,2,0,0,0,0,0,0,0,2,0,0, @@ -953,7 +953,7 @@ const unsigned char _Py_M__importlib_external[] = { 78,114,4,0,0,0,41,2,114,104,0,0,0,114,162,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, 0,218,13,99,114,101,97,116,101,95,109,111,100,117,108,101, - 151,2,0,0,115,0,0,0,0,122,27,95,76,111,97,100, + 153,2,0,0,115,0,0,0,0,122,27,95,76,111,97,100, 101,114,66,97,115,105,99,115,46,99,114,101,97,116,101,95, 109,111,100,117,108,101,99,2,0,0,0,0,0,0,0,3, 0,0,0,4,0,0,0,67,0,0,0,115,56,0,0,0, @@ -972,7 +972,7 @@ const unsigned char _Py_M__importlib_external[] = { 100,218,4,101,120,101,99,114,115,0,0,0,41,3,114,104, 0,0,0,218,6,109,111,100,117,108,101,114,144,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 11,101,120,101,99,95,109,111,100,117,108,101,154,2,0,0, + 11,101,120,101,99,95,109,111,100,117,108,101,156,2,0,0, 115,10,0,0,0,0,2,12,1,8,1,6,1,10,1,122, 25,95,76,111,97,100,101,114,66,97,115,105,99,115,46,101, 120,101,99,95,109,111,100,117,108,101,99,2,0,0,0,0, @@ -984,13 +984,13 @@ const unsigned char _Py_M__importlib_external[] = { 117,108,101,95,115,104,105,109,41,2,114,104,0,0,0,114, 123,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, 0,0,0,218,11,108,111,97,100,95,109,111,100,117,108,101, - 162,2,0,0,115,2,0,0,0,0,2,122,25,95,76,111, + 164,2,0,0,115,2,0,0,0,0,2,122,25,95,76,111, 97,100,101,114,66,97,115,105,99,115,46,108,111,97,100,95, 109,111,100,117,108,101,78,41,8,114,109,0,0,0,114,108, 0,0,0,114,110,0,0,0,114,111,0,0,0,114,157,0, 0,0,114,183,0,0,0,114,188,0,0,0,114,190,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,181,0,0,0,138,2,0,0,115,10, + 114,6,0,0,0,114,181,0,0,0,140,2,0,0,115,10, 0,0,0,8,3,4,2,8,8,8,3,8,8,114,181,0, 0,0,99,0,0,0,0,0,0,0,0,0,0,0,0,3, 0,0,0,64,0,0,0,115,74,0,0,0,101,0,90,1, @@ -1016,7 +1016,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,218,7,73,79,69,114,114,111,114,41,2,114,104,0,0, 0,114,37,0,0,0,114,4,0,0,0,114,4,0,0,0, 114,6,0,0,0,218,10,112,97,116,104,95,109,116,105,109, - 101,169,2,0,0,115,2,0,0,0,0,6,122,23,83,111, + 101,171,2,0,0,115,2,0,0,0,0,6,122,23,83,111, 117,114,99,101,76,111,97,100,101,114,46,112,97,116,104,95, 109,116,105,109,101,99,2,0,0,0,0,0,0,0,2,0, 0,0,3,0,0,0,67,0,0,0,115,14,0,0,0,100, @@ -1051,7 +1051,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,41,1,114,193,0,0,0,41,2,114,104,0,0, 0,114,37,0,0,0,114,4,0,0,0,114,4,0,0,0, 114,6,0,0,0,218,10,112,97,116,104,95,115,116,97,116, - 115,177,2,0,0,115,2,0,0,0,0,11,122,23,83,111, + 115,179,2,0,0,115,2,0,0,0,0,11,122,23,83,111, 117,114,99,101,76,111,97,100,101,114,46,112,97,116,104,95, 115,116,97,116,115,99,4,0,0,0,0,0,0,0,4,0, 0,0,3,0,0,0,67,0,0,0,115,12,0,0,0,124, @@ -1074,7 +1074,7 @@ const unsigned char _Py_M__importlib_external[] = { 4,114,104,0,0,0,114,94,0,0,0,90,10,99,97,99, 104,101,95,112,97,116,104,114,56,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,15,95,99,97, - 99,104,101,95,98,121,116,101,99,111,100,101,190,2,0,0, + 99,104,101,95,98,121,116,101,99,111,100,101,192,2,0,0, 115,2,0,0,0,0,8,122,28,83,111,117,114,99,101,76, 111,97,100,101,114,46,95,99,97,99,104,101,95,98,121,116, 101,99,111,100,101,99,3,0,0,0,0,0,0,0,3,0, @@ -1091,7 +1091,7 @@ const unsigned char _Py_M__importlib_external[] = { 108,101,115,46,10,32,32,32,32,32,32,32,32,78,114,4, 0,0,0,41,3,114,104,0,0,0,114,37,0,0,0,114, 56,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,195,0,0,0,200,2,0,0,115,0,0,0, + 0,0,0,114,195,0,0,0,202,2,0,0,115,0,0,0, 0,122,21,83,111,117,114,99,101,76,111,97,100,101,114,46, 115,101,116,95,100,97,116,97,99,2,0,0,0,0,0,0, 0,5,0,0,0,16,0,0,0,67,0,0,0,115,84,0, @@ -1112,7 +1112,7 @@ const unsigned char _Py_M__importlib_external[] = { 104,0,0,0,114,123,0,0,0,114,37,0,0,0,114,151, 0,0,0,218,3,101,120,99,114,4,0,0,0,114,4,0, 0,0,114,6,0,0,0,218,10,103,101,116,95,115,111,117, - 114,99,101,207,2,0,0,115,14,0,0,0,0,2,10,1, + 114,99,101,209,2,0,0,115,14,0,0,0,0,2,10,1, 2,1,14,1,16,1,6,1,28,1,122,23,83,111,117,114, 99,101,76,111,97,100,101,114,46,103,101,116,95,115,111,117, 114,99,101,114,31,0,0,0,41,1,218,9,95,111,112,116, @@ -1134,7 +1134,7 @@ const unsigned char _Py_M__importlib_external[] = { 104,0,0,0,114,56,0,0,0,114,37,0,0,0,114,200, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, 0,0,218,14,115,111,117,114,99,101,95,116,111,95,99,111, - 100,101,217,2,0,0,115,4,0,0,0,0,5,14,1,122, + 100,101,219,2,0,0,115,4,0,0,0,0,5,14,1,122, 27,83,111,117,114,99,101,76,111,97,100,101,114,46,115,111, 117,114,99,101,95,116,111,95,99,111,100,101,99,2,0,0, 0,0,0,0,0,10,0,0,0,43,0,0,0,67,0,0, @@ -1190,7 +1190,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,218,2,115,116,114,56,0,0,0,218,10,98,121,116, 101,115,95,100,97,116,97,114,151,0,0,0,90,11,99,111, 100,101,95,111,98,106,101,99,116,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,184,0,0,0,225,2,0, + 0,0,0,114,6,0,0,0,114,184,0,0,0,227,2,0, 0,115,78,0,0,0,0,7,10,1,4,1,2,1,12,1, 14,1,10,2,2,1,14,1,14,1,6,2,12,1,2,1, 14,1,14,1,6,2,2,1,6,1,8,1,12,1,18,1, @@ -1202,7 +1202,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,114,193,0,0,0,114,194,0,0,0,114,196,0,0, 0,114,195,0,0,0,114,199,0,0,0,114,203,0,0,0, 114,184,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,191,0,0,0,167,2, + 4,0,0,0,114,6,0,0,0,114,191,0,0,0,169,2, 0,0,115,14,0,0,0,8,2,8,8,8,13,8,10,8, 7,8,10,14,8,114,191,0,0,0,99,0,0,0,0,0, 0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,115, @@ -1229,7 +1229,7 @@ const unsigned char _Py_M__importlib_external[] = { 78,41,2,114,102,0,0,0,114,37,0,0,0,41,3,114, 104,0,0,0,114,123,0,0,0,114,37,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,182,0, - 0,0,26,3,0,0,115,4,0,0,0,0,3,6,1,122, + 0,0,28,3,0,0,115,4,0,0,0,0,3,6,1,122, 19,70,105,108,101,76,111,97,100,101,114,46,95,95,105,110, 105,116,95,95,99,2,0,0,0,0,0,0,0,2,0,0, 0,2,0,0,0,67,0,0,0,115,24,0,0,0,124,0, @@ -1238,7 +1238,7 @@ const unsigned char _Py_M__importlib_external[] = { 108,97,115,115,95,95,114,115,0,0,0,41,2,114,104,0, 0,0,218,5,111,116,104,101,114,114,4,0,0,0,114,4, 0,0,0,114,6,0,0,0,218,6,95,95,101,113,95,95, - 32,3,0,0,115,4,0,0,0,0,1,12,1,122,17,70, + 34,3,0,0,115,4,0,0,0,0,1,12,1,122,17,70, 105,108,101,76,111,97,100,101,114,46,95,95,101,113,95,95, 99,1,0,0,0,0,0,0,0,1,0,0,0,3,0,0, 0,67,0,0,0,115,20,0,0,0,116,0,124,0,106,1, @@ -1246,7 +1246,7 @@ const unsigned char _Py_M__importlib_external[] = { 78,41,3,218,4,104,97,115,104,114,102,0,0,0,114,37, 0,0,0,41,1,114,104,0,0,0,114,4,0,0,0,114, 4,0,0,0,114,6,0,0,0,218,8,95,95,104,97,115, - 104,95,95,36,3,0,0,115,2,0,0,0,0,1,122,19, + 104,95,95,38,3,0,0,115,2,0,0,0,0,1,122,19, 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, 3,0,0,0,3,0,0,0,115,16,0,0,0,116,0,116, @@ -1260,7 +1260,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,32,41,3,218,5,115,117,112,101,114,114,207, 0,0,0,114,190,0,0,0,41,2,114,104,0,0,0,114, 123,0,0,0,41,1,114,208,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,190,0,0,0,39,3,0,0,115,2, + 114,6,0,0,0,114,190,0,0,0,41,3,0,0,115,2, 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, @@ -1271,7 +1271,7 @@ const unsigned char _Py_M__importlib_external[] = { 116,104,101,32,102,105,110,100,101,114,46,41,1,114,37,0, 0,0,41,2,114,104,0,0,0,114,123,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,155,0, - 0,0,51,3,0,0,115,2,0,0,0,0,3,122,23,70, + 0,0,53,3,0,0,115,2,0,0,0,0,3,122,23,70, 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, 0,0,0,9,0,0,0,67,0,0,0,115,32,0,0,0, @@ -1283,14 +1283,14 @@ const unsigned char _Py_M__importlib_external[] = { 3,114,52,0,0,0,114,53,0,0,0,90,4,114,101,97, 100,41,3,114,104,0,0,0,114,37,0,0,0,114,57,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,197,0,0,0,56,3,0,0,115,4,0,0,0,0, + 0,114,197,0,0,0,58,3,0,0,115,4,0,0,0,0, 2,14,1,122,19,70,105,108,101,76,111,97,100,101,114,46, 103,101,116,95,100,97,116,97,41,11,114,109,0,0,0,114, 108,0,0,0,114,110,0,0,0,114,111,0,0,0,114,182, 0,0,0,114,210,0,0,0,114,212,0,0,0,114,120,0, 0,0,114,190,0,0,0,114,155,0,0,0,114,197,0,0, 0,114,4,0,0,0,114,4,0,0,0,41,1,114,208,0, - 0,0,114,6,0,0,0,114,207,0,0,0,21,3,0,0, + 0,0,114,6,0,0,0,114,207,0,0,0,23,3,0,0, 115,14,0,0,0,8,3,4,2,8,6,8,4,8,3,16, 12,12,5,114,207,0,0,0,99,0,0,0,0,0,0,0, 0,0,0,0,0,3,0,0,0,64,0,0,0,115,46,0, @@ -1312,7 +1312,7 @@ const unsigned char _Py_M__importlib_external[] = { 8,115,116,95,109,116,105,109,101,90,7,115,116,95,115,105, 122,101,41,3,114,104,0,0,0,114,37,0,0,0,114,205, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,114,194,0,0,0,66,3,0,0,115,4,0,0,0, + 0,0,114,194,0,0,0,68,3,0,0,115,4,0,0,0, 0,2,8,1,122,27,83,111,117,114,99,101,70,105,108,101, 76,111,97,100,101,114,46,112,97,116,104,95,115,116,97,116, 115,99,4,0,0,0,0,0,0,0,5,0,0,0,5,0, @@ -1322,7 +1322,7 @@ const unsigned char _Py_M__importlib_external[] = { 2,114,101,0,0,0,114,195,0,0,0,41,5,114,104,0, 0,0,114,94,0,0,0,114,93,0,0,0,114,56,0,0, 0,114,44,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,196,0,0,0,71,3,0,0,115,4, + 114,6,0,0,0,114,196,0,0,0,73,3,0,0,115,4, 0,0,0,0,2,8,1,122,32,83,111,117,114,99,101,70, 105,108,101,76,111,97,100,101,114,46,95,99,97,99,104,101, 95,98,121,116,101,99,111,100,101,105,182,1,0,0,41,1, @@ -1357,7 +1357,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,217,0,0,0,218,6,112,97,114,101,110,116,114,98, 0,0,0,114,29,0,0,0,114,25,0,0,0,114,198,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,195,0,0,0,76,3,0,0,115,42,0,0,0,0, + 0,114,195,0,0,0,78,3,0,0,115,42,0,0,0,0, 2,12,1,4,2,16,1,12,1,14,2,14,1,10,1,2, 1,14,1,14,2,6,1,16,3,6,1,8,1,20,1,2, 1,12,1,16,1,16,2,8,1,122,25,83,111,117,114,99, @@ -1366,7 +1366,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,110,0,0,0,114,111,0,0,0,114,194,0,0,0, 114,196,0,0,0,114,195,0,0,0,114,4,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,215, - 0,0,0,62,3,0,0,115,8,0,0,0,8,2,4,2, + 0,0,0,64,3,0,0,115,8,0,0,0,8,2,4,2, 8,5,8,5,114,215,0,0,0,99,0,0,0,0,0,0, 0,0,0,0,0,0,2,0,0,0,64,0,0,0,115,32, 0,0,0,101,0,90,1,100,0,90,2,100,1,90,3,100, @@ -1386,7 +1386,7 @@ const unsigned char _Py_M__importlib_external[] = { 145,0,0,0,41,5,114,104,0,0,0,114,123,0,0,0, 114,37,0,0,0,114,56,0,0,0,114,206,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,184, - 0,0,0,111,3,0,0,115,8,0,0,0,0,1,10,1, + 0,0,0,113,3,0,0,115,8,0,0,0,0,1,10,1, 10,1,18,1,122,29,83,111,117,114,99,101,108,101,115,115, 70,105,108,101,76,111,97,100,101,114,46,103,101,116,95,99, 111,100,101,99,2,0,0,0,0,0,0,0,2,0,0,0, @@ -1396,13 +1396,13 @@ const unsigned char _Py_M__importlib_external[] = { 115,111,117,114,99,101,32,99,111,100,101,46,78,114,4,0, 0,0,41,2,114,104,0,0,0,114,123,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,199,0, - 0,0,117,3,0,0,115,2,0,0,0,0,2,122,31,83, + 0,0,119,3,0,0,115,2,0,0,0,0,2,122,31,83, 111,117,114,99,101,108,101,115,115,70,105,108,101,76,111,97, 100,101,114,46,103,101,116,95,115,111,117,114,99,101,78,41, 6,114,109,0,0,0,114,108,0,0,0,114,110,0,0,0, 114,111,0,0,0,114,184,0,0,0,114,199,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,220,0,0,0,107,3,0,0,115,6,0,0, + 0,0,0,114,220,0,0,0,109,3,0,0,115,6,0,0, 0,8,2,4,2,8,6,114,220,0,0,0,99,0,0,0, 0,0,0,0,0,0,0,0,0,3,0,0,0,64,0,0, 0,115,92,0,0,0,101,0,90,1,100,0,90,2,100,1, @@ -1424,7 +1424,7 @@ const unsigned char _Py_M__importlib_external[] = { 83,0,41,1,78,41,2,114,102,0,0,0,114,37,0,0, 0,41,3,114,104,0,0,0,114,102,0,0,0,114,37,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,182,0,0,0,134,3,0,0,115,4,0,0,0,0, + 0,114,182,0,0,0,136,3,0,0,115,4,0,0,0,0, 1,6,1,122,28,69,120,116,101,110,115,105,111,110,70,105, 108,101,76,111,97,100,101,114,46,95,95,105,110,105,116,95, 95,99,2,0,0,0,0,0,0,0,2,0,0,0,2,0, @@ -1433,7 +1433,7 @@ const unsigned char _Py_M__importlib_external[] = { 2,83,0,41,1,78,41,2,114,208,0,0,0,114,115,0, 0,0,41,2,114,104,0,0,0,114,209,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,210,0, - 0,0,138,3,0,0,115,4,0,0,0,0,1,12,1,122, + 0,0,140,3,0,0,115,4,0,0,0,0,1,12,1,122, 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, @@ -1441,7 +1441,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,106,2,131,1,65,0,83,0,41,1,78,41,3,114,211, 0,0,0,114,102,0,0,0,114,37,0,0,0,41,1,114, 104,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,212,0,0,0,142,3,0,0,115,2,0,0, + 0,0,0,114,212,0,0,0,144,3,0,0,115,2,0,0, 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, @@ -1458,7 +1458,7 @@ const unsigned char _Py_M__importlib_external[] = { 105,99,114,133,0,0,0,114,102,0,0,0,114,37,0,0, 0,41,3,114,104,0,0,0,114,162,0,0,0,114,187,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,183,0,0,0,145,3,0,0,115,10,0,0,0,0, + 0,114,183,0,0,0,147,3,0,0,115,10,0,0,0,0, 2,4,1,10,1,6,1,12,1,122,33,69,120,116,101,110, 115,105,111,110,70,105,108,101,76,111,97,100,101,114,46,99, 114,101,97,116,101,95,109,111,100,117,108,101,99,2,0,0, @@ -1475,7 +1475,7 @@ const unsigned char _Py_M__importlib_external[] = { 121,110,97,109,105,99,114,133,0,0,0,114,102,0,0,0, 114,37,0,0,0,41,2,114,104,0,0,0,114,187,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 114,188,0,0,0,153,3,0,0,115,6,0,0,0,0,2, + 114,188,0,0,0,155,3,0,0,115,6,0,0,0,0,2, 14,1,6,1,122,31,69,120,116,101,110,115,105,111,110,70, 105,108,101,76,111,97,100,101,114,46,101,120,101,99,95,109, 111,100,117,108,101,99,2,0,0,0,0,0,0,0,2,0, @@ -1492,7 +1492,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,41,2,114,182,0,0,0,78,114,4,0,0,0,41,2, 114,24,0,0,0,218,6,115,117,102,102,105,120,41,1,218, 9,102,105,108,101,95,110,97,109,101,114,4,0,0,0,114, - 6,0,0,0,250,9,60,103,101,110,101,120,112,114,62,162, + 6,0,0,0,250,9,60,103,101,110,101,120,112,114,62,164, 3,0,0,115,2,0,0,0,4,1,122,49,69,120,116,101, 110,115,105,111,110,70,105,108,101,76,111,97,100,101,114,46, 105,115,95,112,97,99,107,97,103,101,46,60,108,111,99,97, @@ -1501,7 +1501,7 @@ const unsigned char _Py_M__importlib_external[] = { 69,88,84,69,78,83,73,79,78,95,83,85,70,70,73,88, 69,83,41,2,114,104,0,0,0,114,123,0,0,0,114,4, 0,0,0,41,1,114,223,0,0,0,114,6,0,0,0,114, - 157,0,0,0,159,3,0,0,115,6,0,0,0,0,2,14, + 157,0,0,0,161,3,0,0,115,6,0,0,0,0,2,14, 1,12,1,122,30,69,120,116,101,110,115,105,111,110,70,105, 108,101,76,111,97,100,101,114,46,105,115,95,112,97,99,107, 97,103,101,99,2,0,0,0,0,0,0,0,2,0,0,0, @@ -1512,7 +1512,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,101,97,116,101,32,97,32,99,111,100,101,32,111,98,106, 101,99,116,46,78,114,4,0,0,0,41,2,114,104,0,0, 0,114,123,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,184,0,0,0,165,3,0,0,115,2, + 114,6,0,0,0,114,184,0,0,0,167,3,0,0,115,2, 0,0,0,0,2,122,28,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,103,101,116,95,99, 111,100,101,99,2,0,0,0,0,0,0,0,2,0,0,0, @@ -1523,7 +1523,7 @@ const unsigned char _Py_M__importlib_external[] = { 117,114,99,101,32,99,111,100,101,46,78,114,4,0,0,0, 41,2,114,104,0,0,0,114,123,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,114,199,0,0,0, - 169,3,0,0,115,2,0,0,0,0,2,122,30,69,120,116, + 171,3,0,0,115,2,0,0,0,0,2,122,30,69,120,116, 101,110,115,105,111,110,70,105,108,101,76,111,97,100,101,114, 46,103,101,116,95,115,111,117,114,99,101,99,2,0,0,0, 0,0,0,0,2,0,0,0,1,0,0,0,67,0,0,0, @@ -1534,7 +1534,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,32,102,105,110,100,101,114,46,41,1,114,37,0,0,0, 41,2,114,104,0,0,0,114,123,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,114,155,0,0,0, - 173,3,0,0,115,2,0,0,0,0,3,122,32,69,120,116, + 175,3,0,0,115,2,0,0,0,0,3,122,32,69,120,116, 101,110,115,105,111,110,70,105,108,101,76,111,97,100,101,114, 46,103,101,116,95,102,105,108,101,110,97,109,101,78,41,14, 114,109,0,0,0,114,108,0,0,0,114,110,0,0,0,114, @@ -1542,7 +1542,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,183,0,0,0,114,188,0,0,0,114,157,0, 0,0,114,184,0,0,0,114,199,0,0,0,114,120,0,0, 0,114,155,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,221,0,0,0,126, + 114,4,0,0,0,114,6,0,0,0,114,221,0,0,0,128, 3,0,0,115,20,0,0,0,8,6,4,2,8,4,8,4, 8,3,8,8,8,6,8,6,8,4,8,4,114,221,0,0, 0,99,0,0,0,0,0,0,0,0,0,0,0,0,2,0, @@ -1584,7 +1584,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,41,4,114,104,0,0,0,114,102,0,0,0,114,37,0, 0,0,218,11,112,97,116,104,95,102,105,110,100,101,114,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,182, - 0,0,0,186,3,0,0,115,8,0,0,0,0,1,6,1, + 0,0,0,188,3,0,0,115,8,0,0,0,0,1,6,1, 6,1,14,1,122,23,95,78,97,109,101,115,112,97,99,101, 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, @@ -1602,7 +1602,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,218,3,100,111,116,90,2,109,101,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,23,95,102,105,110, 100,95,112,97,114,101,110,116,95,112,97,116,104,95,110,97, - 109,101,115,192,3,0,0,115,8,0,0,0,0,2,18,1, + 109,101,115,194,3,0,0,115,8,0,0,0,0,2,18,1, 8,2,4,3,122,38,95,78,97,109,101,115,112,97,99,101, 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, @@ -1614,7 +1614,7 @@ const unsigned char _Py_M__importlib_external[] = { 3,114,104,0,0,0,90,18,112,97,114,101,110,116,95,109, 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, - 4,0,0,0,114,6,0,0,0,114,230,0,0,0,202,3, + 4,0,0,0,114,6,0,0,0,114,230,0,0,0,204,3, 0,0,115,4,0,0,0,0,1,12,1,122,31,95,78,97, 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, @@ -1630,7 +1630,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,41,3,114,104,0,0,0,90,11,112,97,114,101, 110,116,95,112,97,116,104,114,162,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,12,95,114,101, - 99,97,108,99,117,108,97,116,101,206,3,0,0,115,16,0, + 99,97,108,99,117,108,97,116,101,208,3,0,0,115,16,0, 0,0,0,2,12,1,10,1,14,3,18,1,6,1,8,1, 6,1,122,27,95,78,97,109,101,115,112,97,99,101,80,97, 116,104,46,95,114,101,99,97,108,99,117,108,97,116,101,99, @@ -1639,7 +1639,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,131,1,83,0,41,1,78,41,2,218,4,105,116,101,114, 114,237,0,0,0,41,1,114,104,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,8,95,95,105, - 116,101,114,95,95,219,3,0,0,115,2,0,0,0,0,1, + 116,101,114,95,95,221,3,0,0,115,2,0,0,0,0,1, 122,23,95,78,97,109,101,115,112,97,99,101,80,97,116,104, 46,95,95,105,116,101,114,95,95,99,3,0,0,0,0,0, 0,0,3,0,0,0,3,0,0,0,67,0,0,0,115,14, @@ -1647,7 +1647,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,41,1,78,41,1,114,229,0,0,0,41,3,114,104,0, 0,0,218,5,105,110,100,101,120,114,37,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,218,11,95, - 95,115,101,116,105,116,101,109,95,95,222,3,0,0,115,2, + 95,115,101,116,105,116,101,109,95,95,224,3,0,0,115,2, 0,0,0,0,1,122,26,95,78,97,109,101,115,112,97,99, 101,80,97,116,104,46,95,95,115,101,116,105,116,101,109,95, 95,99,1,0,0,0,0,0,0,0,1,0,0,0,2,0, @@ -1655,7 +1655,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,131,0,131,1,83,0,41,1,78,41,2,114,33,0,0, 0,114,237,0,0,0,41,1,114,104,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,7,95,95, - 108,101,110,95,95,225,3,0,0,115,2,0,0,0,0,1, + 108,101,110,95,95,227,3,0,0,115,2,0,0,0,0,1, 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, 0,1,0,0,0,2,0,0,0,67,0,0,0,115,12,0, @@ -1664,7 +1664,7 @@ const unsigned char _Py_M__importlib_external[] = { 104,40,123,33,114,125,41,41,2,114,50,0,0,0,114,229, 0,0,0,41,1,114,104,0,0,0,114,4,0,0,0,114, 4,0,0,0,114,6,0,0,0,218,8,95,95,114,101,112, - 114,95,95,228,3,0,0,115,2,0,0,0,0,1,122,23, + 114,95,95,230,3,0,0,115,2,0,0,0,0,1,122,23, 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, 2,0,0,0,2,0,0,0,67,0,0,0,115,12,0,0, @@ -1672,7 +1672,7 @@ const unsigned char _Py_M__importlib_external[] = { 41,1,114,237,0,0,0,41,2,114,104,0,0,0,218,4, 105,116,101,109,114,4,0,0,0,114,4,0,0,0,114,6, 0,0,0,218,12,95,95,99,111,110,116,97,105,110,115,95, - 95,231,3,0,0,115,2,0,0,0,0,1,122,27,95,78, + 95,233,3,0,0,115,2,0,0,0,0,1,122,27,95,78, 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, 0,0,2,0,0,0,2,0,0,0,67,0,0,0,115,16, @@ -1680,7 +1680,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,83,0,41,1,78,41,2,114,229,0,0,0,114,161,0, 0,0,41,2,114,104,0,0,0,114,244,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,161,0, - 0,0,234,3,0,0,115,2,0,0,0,0,1,122,21,95, + 0,0,236,3,0,0,115,2,0,0,0,0,1,122,21,95, 78,97,109,101,115,112,97,99,101,80,97,116,104,46,97,112, 112,101,110,100,78,41,14,114,109,0,0,0,114,108,0,0, 0,114,110,0,0,0,114,111,0,0,0,114,182,0,0,0, @@ -1688,7 +1688,7 @@ const unsigned char _Py_M__importlib_external[] = { 239,0,0,0,114,241,0,0,0,114,242,0,0,0,114,243, 0,0,0,114,245,0,0,0,114,161,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,227,0,0,0,179,3,0,0,115,22,0,0,0,8, + 0,114,227,0,0,0,181,3,0,0,115,22,0,0,0,8, 5,4,2,8,6,8,10,8,4,8,13,8,3,8,3,8, 3,8,3,8,3,114,227,0,0,0,99,0,0,0,0,0, 0,0,0,0,0,0,0,3,0,0,0,64,0,0,0,115, @@ -1704,7 +1704,7 @@ const unsigned char _Py_M__importlib_external[] = { 100,0,83,0,41,1,78,41,2,114,227,0,0,0,114,229, 0,0,0,41,4,114,104,0,0,0,114,102,0,0,0,114, 37,0,0,0,114,233,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,182,0,0,0,240,3,0, + 0,0,0,114,6,0,0,0,114,182,0,0,0,242,3,0, 0,115,2,0,0,0,0,1,122,25,95,78,97,109,101,115, 112,97,99,101,76,111,97,100,101,114,46,95,95,105,110,105, 116,95,95,99,2,0,0,0,0,0,0,0,2,0,0,0, @@ -1721,14 +1721,14 @@ const unsigned char _Py_M__importlib_external[] = { 110,97,109,101,115,112,97,99,101,41,62,41,2,114,50,0, 0,0,114,109,0,0,0,41,2,114,168,0,0,0,114,187, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,11,109,111,100,117,108,101,95,114,101,112,114,243, + 0,0,218,11,109,111,100,117,108,101,95,114,101,112,114,245, 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, 0,0,100,1,83,0,41,2,78,84,114,4,0,0,0,41, 2,114,104,0,0,0,114,123,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,157,0,0,0,252, + 114,4,0,0,0,114,6,0,0,0,114,157,0,0,0,254, 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, @@ -1736,7 +1736,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,100,1,83,0,41,2,78,114,32,0,0,0,114,4,0, 0,0,41,2,114,104,0,0,0,114,123,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,199,0, - 0,0,255,3,0,0,115,2,0,0,0,0,1,122,27,95, + 0,0,1,4,0,0,115,2,0,0,0,0,1,122,27,95, 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, @@ -1745,7 +1745,7 @@ const unsigned char _Py_M__importlib_external[] = { 60,115,116,114,105,110,103,62,114,186,0,0,0,114,201,0, 0,0,84,41,1,114,202,0,0,0,41,2,114,104,0,0, 0,114,123,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,184,0,0,0,2,4,0,0,115,2, + 114,6,0,0,0,114,184,0,0,0,4,4,0,0,115,2, 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, @@ -1755,14 +1755,14 @@ const unsigned char _Py_M__importlib_external[] = { 108,101,32,99,114,101,97,116,105,111,110,46,78,114,4,0, 0,0,41,2,114,104,0,0,0,114,162,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,183,0, - 0,0,5,4,0,0,115,0,0,0,0,122,30,95,78,97, + 0,0,7,4,0,0,115,0,0,0,0,122,30,95,78,97, 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, 115,4,0,0,0,100,0,83,0,41,1,78,114,4,0,0, 0,41,2,114,104,0,0,0,114,187,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,188,0,0, - 0,8,4,0,0,115,2,0,0,0,0,1,122,28,95,78, + 0,10,4,0,0,115,2,0,0,0,0,1,122,28,95,78, 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, @@ -1780,7 +1780,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,133,0,0,0,114,229,0,0,0,114,189,0, 0,0,41,2,114,104,0,0,0,114,123,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,190,0, - 0,0,11,4,0,0,115,6,0,0,0,0,7,6,1,8, + 0,0,13,4,0,0,115,6,0,0,0,0,7,6,1,8, 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, 41,12,114,109,0,0,0,114,108,0,0,0,114,110,0,0, @@ -1788,7 +1788,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,157,0,0,0,114,199,0,0,0,114,184,0,0,0,114, 183,0,0,0,114,188,0,0,0,114,190,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,114,246,0,0,0,239,3,0,0,115,16,0,0,0, + 0,0,114,246,0,0,0,241,3,0,0,115,16,0,0,0, 8,1,8,3,12,9,8,3,8,3,8,3,8,3,8,3, 114,246,0,0,0,99,0,0,0,0,0,0,0,0,0,0, 0,0,4,0,0,0,64,0,0,0,115,106,0,0,0,101, @@ -1822,7 +1822,7 @@ const unsigned char _Py_M__importlib_external[] = { 108,117,101,115,114,112,0,0,0,114,249,0,0,0,41,2, 114,168,0,0,0,218,6,102,105,110,100,101,114,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,249,0,0, - 0,29,4,0,0,115,6,0,0,0,0,4,16,1,10,1, + 0,31,4,0,0,115,6,0,0,0,0,4,16,1,10,1, 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, @@ -1841,7 +1841,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,114,64,0,0,0,114,122,0,0,0,114,103,0,0, 0,41,3,114,168,0,0,0,114,37,0,0,0,90,4,104, 111,111,107,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,11,95,112,97,116,104,95,104,111,111,107,115,37, + 0,0,218,11,95,112,97,116,104,95,104,111,111,107,115,39, 4,0,0,115,16,0,0,0,0,3,18,1,12,1,12,1, 2,1,8,1,14,1,12,2,122,22,80,97,116,104,70,105, 110,100,101,114,46,95,112,97,116,104,95,104,111,111,107,115, @@ -1873,7 +1873,7 @@ const unsigned char _Py_M__importlib_external[] = { 3,114,168,0,0,0,114,37,0,0,0,114,252,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, 20,95,112,97,116,104,95,105,109,112,111,114,116,101,114,95, - 99,97,99,104,101,50,4,0,0,115,22,0,0,0,0,8, + 99,97,99,104,101,52,4,0,0,115,22,0,0,0,0,8, 8,1,2,1,12,1,14,3,6,1,2,1,14,1,14,1, 10,1,16,1,122,31,80,97,116,104,70,105,110,100,101,114, 46,95,112,97,116,104,95,105,109,112,111,114,116,101,114,95, @@ -1890,7 +1890,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,168,0,0,0,114,123,0,0,0,114,252,0,0,0,114, 124,0,0,0,114,125,0,0,0,114,162,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,218,16,95, - 108,101,103,97,99,121,95,103,101,116,95,115,112,101,99,72, + 108,101,103,97,99,121,95,103,101,116,95,115,112,101,99,74, 4,0,0,115,18,0,0,0,0,4,10,1,16,2,10,1, 4,1,8,1,12,1,12,1,6,1,122,27,80,97,116,104, 70,105,110,100,101,114,46,95,108,101,103,97,99,121,95,103, @@ -1922,7 +1922,7 @@ const unsigned char _Py_M__importlib_external[] = { 95,112,97,116,104,90,5,101,110,116,114,121,114,252,0,0, 0,114,162,0,0,0,114,125,0,0,0,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,9,95,103,101,116, - 95,115,112,101,99,87,4,0,0,115,40,0,0,0,0,5, + 95,115,112,101,99,89,4,0,0,115,40,0,0,0,0,5, 4,1,10,1,14,1,2,1,10,1,8,1,10,1,14,2, 12,1,8,1,2,1,10,1,4,1,6,1,8,1,8,5, 14,2,12,1,6,1,122,20,80,97,116,104,70,105,110,100, @@ -1950,7 +1950,7 @@ const unsigned char _Py_M__importlib_external[] = { 41,6,114,168,0,0,0,114,123,0,0,0,114,37,0,0, 0,114,177,0,0,0,114,162,0,0,0,114,3,1,0,0, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,114, - 178,0,0,0,119,4,0,0,115,26,0,0,0,0,6,8, + 178,0,0,0,121,4,0,0,115,26,0,0,0,0,6,8, 1,6,1,14,1,8,1,6,1,10,1,6,1,4,3,6, 1,16,1,6,2,6,2,122,20,80,97,116,104,70,105,110, 100,101,114,46,102,105,110,100,95,115,112,101,99,99,3,0, @@ -1971,7 +1971,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,78,41,2,114,178,0,0,0,114,124,0,0,0, 41,4,114,168,0,0,0,114,123,0,0,0,114,37,0,0, 0,114,162,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,179,0,0,0,143,4,0,0,115,8, + 114,6,0,0,0,114,179,0,0,0,145,4,0,0,115,8, 0,0,0,0,8,12,1,8,1,4,1,122,22,80,97,116, 104,70,105,110,100,101,114,46,102,105,110,100,95,109,111,100, 117,108,101,41,1,78,41,2,78,78,41,1,78,41,12,114, @@ -1980,7 +1980,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,114,0,1,0,0,114,1,1,0,0,114,4,1,0, 0,114,178,0,0,0,114,179,0,0,0,114,4,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,114, - 248,0,0,0,25,4,0,0,115,22,0,0,0,8,2,4, + 248,0,0,0,27,4,0,0,115,22,0,0,0,8,2,4, 2,12,8,12,13,12,22,12,15,2,1,12,31,2,1,12, 23,2,1,114,248,0,0,0,99,0,0,0,0,0,0,0, 0,0,0,0,0,3,0,0,0,64,0,0,0,115,90,0, @@ -2024,7 +2024,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,0,113,2,100,0,83,0,41,1,78,114,4,0,0,0, 41,2,114,24,0,0,0,114,222,0,0,0,41,1,114,124, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,224,0, - 0,0,172,4,0,0,115,2,0,0,0,4,0,122,38,70, + 0,0,174,4,0,0,115,2,0,0,0,4,0,122,38,70, 105,108,101,70,105,110,100,101,114,46,95,95,105,110,105,116, 95,95,46,60,108,111,99,97,108,115,62,46,60,103,101,110, 101,120,112,114,62,114,61,0,0,0,114,31,0,0,0,78, @@ -2036,7 +2036,7 @@ const unsigned char _Py_M__importlib_external[] = { 5,114,104,0,0,0,114,37,0,0,0,218,14,108,111,97, 100,101,114,95,100,101,116,97,105,108,115,90,7,108,111,97, 100,101,114,115,114,164,0,0,0,114,4,0,0,0,41,1, - 114,124,0,0,0,114,6,0,0,0,114,182,0,0,0,166, + 114,124,0,0,0,114,6,0,0,0,114,182,0,0,0,168, 4,0,0,115,16,0,0,0,0,4,4,1,14,1,28,1, 6,2,10,1,6,1,8,1,122,19,70,105,108,101,70,105, 110,100,101,114,46,95,95,105,110,105,116,95,95,99,1,0, @@ -2047,7 +2047,7 @@ const unsigned char _Py_M__importlib_external[] = { 105,109,101,46,114,31,0,0,0,78,114,91,0,0,0,41, 1,114,7,1,0,0,41,1,114,104,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,249,0,0, - 0,180,4,0,0,115,2,0,0,0,0,2,122,28,70,105, + 0,182,4,0,0,115,2,0,0,0,0,2,122,28,70,105, 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, @@ -2069,7 +2069,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,32,32,32,78,41,3,114,178,0,0,0,114, 124,0,0,0,114,154,0,0,0,41,3,114,104,0,0,0, 114,123,0,0,0,114,162,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,121,0,0,0,186,4, + 4,0,0,0,114,6,0,0,0,114,121,0,0,0,188,4, 0,0,115,8,0,0,0,0,7,10,1,8,1,8,1,122, 22,70,105,108,101,70,105,110,100,101,114,46,102,105,110,100, 95,108,111,97,100,101,114,99,6,0,0,0,0,0,0,0, @@ -2080,7 +2080,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,41,7,114,104,0,0,0,114,163,0,0,0,114, 123,0,0,0,114,37,0,0,0,90,4,115,109,115,108,114, 177,0,0,0,114,124,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,4,1,0,0,198,4,0, + 0,0,0,114,6,0,0,0,114,4,1,0,0,200,4,0, 0,115,6,0,0,0,0,1,10,1,12,1,122,20,70,105, 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, @@ -2135,7 +2135,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,90,13,105,110,105,116,95,102,105,108,101,110,97, 109,101,90,9,102,117,108,108,95,112,97,116,104,114,162,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,178,0,0,0,203,4,0,0,115,70,0,0,0,0, + 0,114,178,0,0,0,205,4,0,0,115,70,0,0,0,0, 5,4,1,14,1,2,1,24,1,14,1,10,1,10,1,8, 1,6,2,6,1,6,1,10,2,6,1,4,2,8,1,12, 1,16,1,8,1,10,1,8,1,24,4,8,2,16,1,16, @@ -2166,7 +2166,7 @@ const unsigned char _Py_M__importlib_external[] = { 125,1,124,1,106,0,131,0,146,2,113,4,83,0,114,4, 0,0,0,41,1,114,92,0,0,0,41,2,114,24,0,0, 0,90,2,102,110,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,250,9,60,115,101,116,99,111,109,112,62,24, + 6,0,0,0,250,9,60,115,101,116,99,111,109,112,62,26, 5,0,0,115,2,0,0,0,6,0,122,41,70,105,108,101, 70,105,110,100,101,114,46,95,102,105,108,108,95,99,97,99, 104,101,46,60,108,111,99,97,108,115,62,46,60,115,101,116, @@ -2184,7 +2184,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,102,0,0,0,114,234,0,0,0,114,222,0, 0,0,90,8,110,101,119,95,110,97,109,101,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,114,12,1,0,0, - 251,4,0,0,115,34,0,0,0,0,2,6,1,2,1,22, + 253,4,0,0,115,34,0,0,0,0,2,6,1,2,1,22, 1,20,3,10,3,12,1,12,7,6,1,10,1,16,1,4, 1,18,2,4,1,14,1,6,1,12,1,122,22,70,105,108, 101,70,105,110,100,101,114,46,95,102,105,108,108,95,99,97, @@ -2221,7 +2221,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,103,0,0,0,41,1,114,37,0,0,0,41,2,114, 168,0,0,0,114,11,1,0,0,114,4,0,0,0,114,6, 0,0,0,218,24,112,97,116,104,95,104,111,111,107,95,102, - 111,114,95,70,105,108,101,70,105,110,100,101,114,36,5,0, + 111,114,95,70,105,108,101,70,105,110,100,101,114,38,5,0, 0,115,6,0,0,0,0,2,8,1,14,1,122,54,70,105, 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, @@ -2229,7 +2229,7 @@ const unsigned char _Py_M__importlib_external[] = { 110,100,101,114,114,4,0,0,0,41,3,114,168,0,0,0, 114,11,1,0,0,114,17,1,0,0,114,4,0,0,0,41, 2,114,168,0,0,0,114,11,1,0,0,114,6,0,0,0, - 218,9,112,97,116,104,95,104,111,111,107,26,5,0,0,115, + 218,9,112,97,116,104,95,104,111,111,107,28,5,0,0,115, 4,0,0,0,0,10,14,6,122,20,70,105,108,101,70,105, 110,100,101,114,46,112,97,116,104,95,104,111,111,107,99,1, 0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,67, @@ -2238,7 +2238,7 @@ const unsigned char _Py_M__importlib_external[] = { 100,101,114,40,123,33,114,125,41,41,2,114,50,0,0,0, 114,37,0,0,0,41,1,114,104,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,114,243,0,0,0, - 44,5,0,0,115,2,0,0,0,0,1,122,19,70,105,108, + 46,5,0,0,115,2,0,0,0,0,1,122,19,70,105,108, 101,70,105,110,100,101,114,46,95,95,114,101,112,114,95,95, 41,1,78,41,15,114,109,0,0,0,114,108,0,0,0,114, 110,0,0,0,114,111,0,0,0,114,182,0,0,0,114,249, @@ -2246,7 +2246,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,114,4,1,0,0,114,178,0,0,0,114,12,1,0, 0,114,180,0,0,0,114,18,1,0,0,114,243,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,5,1,0,0,157,4,0,0,115,20,0, + 6,0,0,0,114,5,1,0,0,159,4,0,0,115,20,0, 0,0,8,7,4,2,8,14,8,4,4,2,8,12,8,5, 10,48,8,31,12,18,114,5,1,0,0,99,4,0,0,0, 0,0,0,0,6,0,0,0,11,0,0,0,67,0,0,0, @@ -2269,7 +2269,7 @@ const unsigned char _Py_M__importlib_external[] = { 112,97,116,104,110,97,109,101,90,9,99,112,97,116,104,110, 97,109,101,114,124,0,0,0,114,162,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,14,95,102, - 105,120,95,117,112,95,109,111,100,117,108,101,50,5,0,0, + 105,120,95,117,112,95,109,111,100,117,108,101,52,5,0,0, 115,34,0,0,0,0,2,10,1,10,1,4,1,4,1,8, 1,8,1,12,2,10,1,4,1,16,1,2,1,8,1,8, 1,8,1,12,1,14,2,114,23,1,0,0,99,0,0,0, @@ -2289,7 +2289,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 111,100,101,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,114,159,0,0,0,73,5,0,0,115,8,0,0,0, + 0,0,114,159,0,0,0,75,5,0,0,115,8,0,0,0, 0,5,12,1,8,1,8,1,114,159,0,0,0,99,1,0, 0,0,0,0,0,0,12,0,0,0,12,0,0,0,67,0, 0,0,115,188,1,0,0,124,0,97,0,116,0,106,1,97, @@ -2342,7 +2342,7 @@ const unsigned char _Py_M__importlib_external[] = { 83,0,41,2,114,31,0,0,0,78,41,1,114,33,0,0, 0,41,2,114,24,0,0,0,114,81,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,224,0,0, - 0,109,5,0,0,115,2,0,0,0,4,0,122,25,95,115, + 0,111,5,0,0,115,2,0,0,0,4,0,122,25,95,115, 101,116,117,112,46,60,108,111,99,97,108,115,62,46,60,103, 101,110,101,120,112,114,62,114,62,0,0,0,122,30,105,109, 112,111,114,116,108,105,98,32,114,101,113,117,105,114,101,115, @@ -2372,7 +2372,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 6,95,115,101,116,117,112,84,5,0,0,115,82,0,0,0, + 6,95,115,101,116,117,112,86,5,0,0,115,82,0,0,0, 0,8,4,1,6,1,6,3,10,1,10,1,10,1,12,2, 10,1,16,3,22,1,14,2,22,1,8,1,10,1,10,1, 4,2,2,1,10,1,6,1,14,1,12,2,8,1,12,1, @@ -2396,7 +2396,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,215,0,0,0,41,2,114,31,1,0,0,90,17,115, 117,112,112,111,114,116,101,100,95,108,111,97,100,101,114,115, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 8,95,105,110,115,116,97,108,108,152,5,0,0,115,16,0, + 8,95,105,110,115,116,97,108,108,154,5,0,0,115,16,0, 0,0,0,2,8,1,6,1,20,1,10,1,12,1,12,4, 6,1,114,34,1,0,0,41,1,122,3,119,105,110,41,2, 114,1,0,0,0,114,2,0,0,0,41,1,114,49,0,0, @@ -2430,7 +2430,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,4,0,0,0,114,6,0,0,0,218,8,60, 109,111,100,117,108,101,62,8,0,0,0,115,108,0,0,0, 4,16,4,1,4,1,2,1,6,3,8,17,8,5,8,5, - 8,6,8,12,8,10,8,9,8,5,8,7,10,22,10,117, + 8,6,8,12,8,10,8,9,8,5,8,7,10,22,10,119, 16,1,12,2,4,1,4,2,6,2,6,2,8,2,16,45, 8,34,8,19,8,12,8,12,8,28,8,17,10,55,10,12, 10,10,8,14,6,3,4,1,14,67,14,64,14,29,16,110, diff --git a/Python/opcode_targets.h b/Python/opcode_targets.h index 9337474682..270ae5dbad 100644 --- a/Python/opcode_targets.h +++ b/Python/opcode_targets.h @@ -84,7 +84,7 @@ static void *opcode_targets[256] = { &&TARGET_WITH_CLEANUP_FINISH, &&TARGET_RETURN_VALUE, &&TARGET_IMPORT_STAR, - &&_unknown_opcode, + &&TARGET_SETUP_ANNOTATIONS, &&TARGET_YIELD_VALUE, &&TARGET_POP_BLOCK, &&TARGET_END_FINALLY, @@ -126,7 +126,7 @@ static void *opcode_targets[256] = { &&TARGET_LOAD_FAST, &&TARGET_STORE_FAST, &&TARGET_DELETE_FAST, - &&_unknown_opcode, + &&TARGET_STORE_ANNOTATION, &&_unknown_opcode, &&_unknown_opcode, &&TARGET_RAISE_VARARGS, diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index 1a68255c93..a2399ed576 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -937,11 +937,17 @@ Py_GetPythonHome(void) static void initmain(PyInterpreterState *interp) { - PyObject *m, *d, *loader; + PyObject *m, *d, *loader, *ann_dict; m = PyImport_AddModule("__main__"); if (m == NULL) Py_FatalError("can't create __main__ module"); d = PyModule_GetDict(m); + ann_dict = PyDict_New(); + if ((ann_dict == NULL) || + (PyDict_SetItemString(d, "__annotations__", ann_dict) < 0)) { + Py_FatalError("Failed to initialize __main__.__annotations__"); + } + Py_DECREF(ann_dict); if (PyDict_GetItemString(d, "__builtins__") == NULL) { PyObject *bimod = PyImport_ImportModule("builtins"); if (bimod == NULL) { diff --git a/Python/symtable.c b/Python/symtable.c index 45a8c2c64b..b8d9398f2d 100644 --- a/Python/symtable.c +++ b/Python/symtable.c @@ -1201,6 +1201,44 @@ symtable_visit_stmt(struct symtable *st, stmt_ty s) VISIT_SEQ(st, expr, s->v.Assign.targets); VISIT(st, expr, s->v.Assign.value); break; + case AnnAssign_kind: + if (s->v.AnnAssign.target->kind == Name_kind) { + expr_ty e_name = s->v.AnnAssign.target; + long cur = symtable_lookup(st, e_name->v.Name.id); + if (cur < 0) { + VISIT_QUIT(st, 0); + } + if ((cur & (DEF_GLOBAL | DEF_NONLOCAL)) + && s->v.AnnAssign.simple) { + PyErr_Format(PyExc_SyntaxError, + "annotated name '%U' can't be %s", + e_name->v.Name.id, + cur & DEF_GLOBAL ? "global" : "nonlocal"); + PyErr_SyntaxLocationObject(st->st_filename, + s->lineno, + s->col_offset); + VISIT_QUIT(st, 0); + } + if (s->v.AnnAssign.simple && + !symtable_add_def(st, e_name->v.Name.id, + DEF_ANNOT | DEF_LOCAL)) { + VISIT_QUIT(st, 0); + } + else { + if (s->v.AnnAssign.value + && !symtable_add_def(st, e_name->v.Name.id, DEF_LOCAL)) { + VISIT_QUIT(st, 0); + } + } + } + else { + VISIT(st, expr, s->v.AnnAssign.target); + } + VISIT(st, expr, s->v.AnnAssign.annotation); + if (s->v.AnnAssign.value) { + VISIT(st, expr, s->v.AnnAssign.value); + } + break; case AugAssign_kind: VISIT(st, expr, s->v.AugAssign.target); VISIT(st, expr, s->v.AugAssign.value); @@ -1258,6 +1296,15 @@ symtable_visit_stmt(struct symtable *st, stmt_ty s) long cur = symtable_lookup(st, name); if (cur < 0) VISIT_QUIT(st, 0); + if (cur & DEF_ANNOT) { + PyErr_Format(PyExc_SyntaxError, + "annotated name '%U' can't be global", + name); + PyErr_SyntaxLocationObject(st->st_filename, + s->lineno, + s->col_offset); + VISIT_QUIT(st, 0); + } if (cur & (DEF_LOCAL | USE)) { char buf[256]; char *c_name = _PyUnicode_AsString(name); @@ -1289,6 +1336,15 @@ symtable_visit_stmt(struct symtable *st, stmt_ty s) long cur = symtable_lookup(st, name); if (cur < 0) VISIT_QUIT(st, 0); + if (cur & DEF_ANNOT) { + PyErr_Format(PyExc_SyntaxError, + "annotated name '%U' can't be nonlocal", + name); + PyErr_SyntaxLocationObject(st->st_filename, + s->lineno, + s->col_offset); + VISIT_QUIT(st, 0); + } if (cur & (DEF_LOCAL | USE)) { char buf[256]; char *c_name = _PyUnicode_AsString(name); -- cgit v1.2.1 From 17668cfa5e0e6f50376cc233d9b063b908a19845 Mon Sep 17 00:00:00 2001 From: Yury Selivanov Date: Thu, 8 Sep 2016 22:01:51 -0700 Subject: Issue #28003: Implement PEP 525 -- Asynchronous Generators. --- Python/ceval.c | 112 +++++++++++++++++++++++++++++++++++------------- Python/compile.c | 13 +++--- Python/pylifecycle.c | 1 + Python/pystate.c | 5 +++ Python/symtable.c | 6 ++- Python/sysmodule.c | 119 +++++++++++++++++++++++++++++++++++++++++++++++++++ 6 files changed, 220 insertions(+), 36 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index a52ee8a582..f737a2f3a0 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -1204,7 +1204,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) f->f_stacktop = NULL; /* remains NULL unless yield suspends frame */ f->f_executing = 1; - if (co->co_flags & (CO_GENERATOR | CO_COROUTINE)) { + if (co->co_flags & (CO_GENERATOR | CO_COROUTINE | CO_ASYNC_GENERATOR)) { if (!throwflag && f->f_exc_type != NULL && f->f_exc_type != Py_None) { /* We were in an except handler when we left, restore the exception state which was put aside @@ -2083,36 +2083,45 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) PyObject *aiter = TOP(); PyTypeObject *type = Py_TYPE(aiter); - if (type->tp_as_async != NULL) - getter = type->tp_as_async->am_anext; + if (PyAsyncGen_CheckExact(aiter)) { + awaitable = type->tp_as_async->am_anext(aiter); + if (awaitable == NULL) { + goto error; + } + } else { + if (type->tp_as_async != NULL){ + getter = type->tp_as_async->am_anext; + } - if (getter != NULL) { - next_iter = (*getter)(aiter); - if (next_iter == NULL) { + if (getter != NULL) { + next_iter = (*getter)(aiter); + if (next_iter == NULL) { + goto error; + } + } + else { + PyErr_Format( + PyExc_TypeError, + "'async for' requires an iterator with " + "__anext__ method, got %.100s", + type->tp_name); goto error; } - } - else { - PyErr_Format( - PyExc_TypeError, - "'async for' requires an iterator with " - "__anext__ method, got %.100s", - type->tp_name); - goto error; - } - awaitable = _PyCoro_GetAwaitableIter(next_iter); - if (awaitable == NULL) { - PyErr_Format( - PyExc_TypeError, - "'async for' received an invalid object " - "from __anext__: %.100s", - Py_TYPE(next_iter)->tp_name); + awaitable = _PyCoro_GetAwaitableIter(next_iter); + if (awaitable == NULL) { + PyErr_Format( + PyExc_TypeError, + "'async for' received an invalid object " + "from __anext__: %.100s", + Py_TYPE(next_iter)->tp_name); - Py_DECREF(next_iter); - goto error; - } else - Py_DECREF(next_iter); + Py_DECREF(next_iter); + goto error; + } else { + Py_DECREF(next_iter); + } + } PUSH(awaitable); PREDICT(LOAD_CONST); @@ -2187,6 +2196,17 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) TARGET(YIELD_VALUE) { retval = POP(); + + if (co->co_flags & CO_ASYNC_GENERATOR) { + PyObject *w = _PyAsyncGenValueWrapperNew(retval); + Py_DECREF(retval); + if (w == NULL) { + retval = NULL; + goto error; + } + retval = w; + } + f->f_stacktop = stack_pointer; why = WHY_YIELD; goto fast_yield; @@ -3712,7 +3732,7 @@ fast_block_end: assert((retval != NULL) ^ (PyErr_Occurred() != NULL)); fast_yield: - if (co->co_flags & (CO_GENERATOR | CO_COROUTINE)) { + if (co->co_flags & (CO_GENERATOR | CO_COROUTINE | CO_ASYNC_GENERATOR)) { /* The purpose of this block is to put aside the generator's exception state and restore that of the calling frame. If the current @@ -4156,8 +4176,8 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, freevars[PyTuple_GET_SIZE(co->co_cellvars) + i] = o; } - /* Handle generator/coroutine */ - if (co->co_flags & (CO_GENERATOR | CO_COROUTINE)) { + /* Handle generator/coroutine/asynchronous generator */ + if (co->co_flags & (CO_GENERATOR | CO_COROUTINE | CO_ASYNC_GENERATOR)) { PyObject *gen; PyObject *coro_wrapper = tstate->coroutine_wrapper; int is_coro = co->co_flags & CO_COROUTINE; @@ -4182,6 +4202,8 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, * and return that as the value. */ if (is_coro) { gen = PyCoro_New(f, name, qualname); + } else if (co->co_flags & CO_ASYNC_GENERATOR) { + gen = PyAsyncGen_New(f, name, qualname); } else { gen = PyGen_NewWithQualName(f, name, qualname); } @@ -4660,6 +4682,38 @@ _PyEval_GetCoroutineWrapper(void) return tstate->coroutine_wrapper; } +void +_PyEval_SetAsyncGenFirstiter(PyObject *firstiter) +{ + PyThreadState *tstate = PyThreadState_GET(); + + Py_XINCREF(firstiter); + Py_XSETREF(tstate->async_gen_firstiter, firstiter); +} + +PyObject * +_PyEval_GetAsyncGenFirstiter(void) +{ + PyThreadState *tstate = PyThreadState_GET(); + return tstate->async_gen_firstiter; +} + +void +_PyEval_SetAsyncGenFinalizer(PyObject *finalizer) +{ + PyThreadState *tstate = PyThreadState_GET(); + + Py_XINCREF(finalizer); + Py_XSETREF(tstate->async_gen_finalizer, finalizer); +} + +PyObject * +_PyEval_GetAsyncGenFinalizer(void) +{ + PyThreadState *tstate = PyThreadState_GET(); + return tstate->async_gen_finalizer; +} + PyObject * PyEval_GetBuiltins(void) { diff --git a/Python/compile.c b/Python/compile.c index b46edd4985..faae4f5828 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -1886,8 +1886,6 @@ compiler_function(struct compiler *c, stmt_ty s, int is_async) return 0; } - if (is_async) - co->co_flags |= CO_COROUTINE; compiler_make_closure(c, co, funcflags, qualname); Py_DECREF(qualname); Py_DECREF(co); @@ -2801,6 +2799,9 @@ compiler_visit_stmt(struct compiler *c, stmt_ty s) if (c->u->u_ste->ste_type != FunctionBlock) return compiler_error(c, "'return' outside function"); if (s->v.Return.value) { + if (c->u->u_ste->ste_coroutine && c->u->u_ste->ste_generator) + return compiler_error( + c, "'return' with value in async generator"); VISIT(c, expr, s->v.Return.value); } else @@ -4115,8 +4116,6 @@ compiler_visit_expr(struct compiler *c, expr_ty e) case Yield_kind: if (c->u->u_ste->ste_type != FunctionBlock) return compiler_error(c, "'yield' outside function"); - if (c->u->u_scope_type == COMPILER_SCOPE_ASYNC_FUNCTION) - return compiler_error(c, "'yield' inside async function"); if (e->v.Yield.value) { VISIT(c, expr, e->v.Yield.value); } @@ -4992,8 +4991,12 @@ compute_code_flags(struct compiler *c) flags |= CO_NEWLOCALS | CO_OPTIMIZED; if (ste->ste_nested) flags |= CO_NESTED; - if (ste->ste_generator) + if (ste->ste_generator && !ste->ste_coroutine) flags |= CO_GENERATOR; + if (!ste->ste_generator && ste->ste_coroutine) + flags |= CO_COROUTINE; + if (ste->ste_generator && ste->ste_coroutine) + flags |= CO_ASYNC_GENERATOR; if (ste->ste_varargs) flags |= CO_VARARGS; if (ste->ste_varkeywords) diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index a2399ed576..f93afd234d 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -694,6 +694,7 @@ Py_FinalizeEx(void) _PyGC_Fini(); _PyRandom_Fini(); _PyArg_Fini(); + PyAsyncGen_Fini(); /* Cleanup Unicode implementation */ _PyUnicode_Fini(); diff --git a/Python/pystate.c b/Python/pystate.c index 959354d119..a0a8c97008 100644 --- a/Python/pystate.c +++ b/Python/pystate.c @@ -229,6 +229,9 @@ new_threadstate(PyInterpreterState *interp, int init) tstate->in_coroutine_wrapper = 0; tstate->co_extra_user_count = 0; + tstate->async_gen_firstiter = NULL; + tstate->async_gen_finalizer = NULL; + if (init) _PyThreadState_Init(tstate); @@ -408,6 +411,8 @@ PyThreadState_Clear(PyThreadState *tstate) Py_CLEAR(tstate->c_traceobj); Py_CLEAR(tstate->coroutine_wrapper); + Py_CLEAR(tstate->async_gen_firstiter); + Py_CLEAR(tstate->async_gen_finalizer); } diff --git a/Python/symtable.c b/Python/symtable.c index b8d9398f2d..e55813feb5 100644 --- a/Python/symtable.c +++ b/Python/symtable.c @@ -63,6 +63,7 @@ ste_new(struct symtable *st, identifier name, _Py_block_ty block, ste->ste_nested = 1; ste->ste_child_free = 0; ste->ste_generator = 0; + ste->ste_coroutine = 0; ste->ste_returns_value = 0; ste->ste_needs_class_closure = 0; @@ -378,7 +379,7 @@ error_at_directive(PySTEntryObject *ste, PyObject *name) PyLong_AsLong(PyTuple_GET_ITEM(data, 2))); return 0; - } + } } PyErr_SetString(PyExc_RuntimeError, "BUG: internal directive bookkeeping broken"); @@ -1397,6 +1398,7 @@ symtable_visit_stmt(struct symtable *st, stmt_ty s) FunctionBlock, (void *)s, s->lineno, s->col_offset)) VISIT_QUIT(st, 0); + st->st_cur->ste_coroutine = 1; VISIT(st, arguments, s->v.AsyncFunctionDef.args); VISIT_SEQ(st, stmt, s->v.AsyncFunctionDef.body); if (!symtable_exit_block(st, s)) @@ -1492,7 +1494,7 @@ symtable_visit_expr(struct symtable *st, expr_ty e) break; case Await_kind: VISIT(st, expr, e->v.Await.value); - st->st_cur->ste_generator = 1; + st->st_cur->ste_coroutine = 1; break; case Compare_kind: VISIT(st, expr, e->v.Compare.left); diff --git a/Python/sysmodule.c b/Python/sysmodule.c index 0fe76b7a74..3a02ae9eaf 100644 --- a/Python/sysmodule.c +++ b/Python/sysmodule.c @@ -717,6 +717,113 @@ Return the wrapper for coroutine objects set by sys.set_coroutine_wrapper." ); +static PyTypeObject AsyncGenHooksType; + +PyDoc_STRVAR(asyncgen_hooks_doc, +"asyncgen_hooks\n\ +\n\ +A struct sequence providing information about asynhronous\n\ +generators hooks. The attributes are read only."); + +static PyStructSequence_Field asyncgen_hooks_fields[] = { + {"firstiter", "Hook to intercept first iteration"}, + {"finalizer", "Hook to intercept finalization"}, + {0} +}; + +static PyStructSequence_Desc asyncgen_hooks_desc = { + "asyncgen_hooks", /* name */ + asyncgen_hooks_doc, /* doc */ + asyncgen_hooks_fields , /* fields */ + 2 +}; + + +static PyObject * +sys_set_asyncgen_hooks(PyObject *self, PyObject *args, PyObject *kw) +{ + static char *keywords[] = {"firstiter", "finalizer", NULL}; + PyObject *firstiter = NULL; + PyObject *finalizer = NULL; + + if (!PyArg_ParseTupleAndKeywords( + args, kw, "|OO", keywords, + &firstiter, &finalizer)) { + return NULL; + } + + if (finalizer && finalizer != Py_None) { + if (!PyCallable_Check(finalizer)) { + PyErr_Format(PyExc_TypeError, + "callable finalizer expected, got %.50s", + Py_TYPE(finalizer)->tp_name); + return NULL; + } + _PyEval_SetAsyncGenFinalizer(finalizer); + } + else if (finalizer == Py_None) { + _PyEval_SetAsyncGenFinalizer(NULL); + } + + if (firstiter && firstiter != Py_None) { + if (!PyCallable_Check(firstiter)) { + PyErr_Format(PyExc_TypeError, + "callable firstiter expected, got %.50s", + Py_TYPE(firstiter)->tp_name); + return NULL; + } + _PyEval_SetAsyncGenFirstiter(firstiter); + } + else if (firstiter == Py_None) { + _PyEval_SetAsyncGenFirstiter(NULL); + } + + Py_RETURN_NONE; +} + +PyDoc_STRVAR(set_asyncgen_hooks_doc, +"set_asyncgen_hooks(*, firstiter=None, finalizer=None)\n\ +\n\ +Set a finalizer for async generators objects." +); + +static PyObject * +sys_get_asyncgen_hooks(PyObject *self, PyObject *args) +{ + PyObject *res; + PyObject *firstiter = _PyEval_GetAsyncGenFirstiter(); + PyObject *finalizer = _PyEval_GetAsyncGenFinalizer(); + + res = PyStructSequence_New(&AsyncGenHooksType); + if (res == NULL) { + return NULL; + } + + if (firstiter == NULL) { + firstiter = Py_None; + } + + if (finalizer == NULL) { + finalizer = Py_None; + } + + Py_INCREF(firstiter); + PyStructSequence_SET_ITEM(res, 0, firstiter); + + Py_INCREF(finalizer); + PyStructSequence_SET_ITEM(res, 1, finalizer); + + return res; +} + +PyDoc_STRVAR(get_asyncgen_hooks_doc, +"get_asyncgen_hooks()\n\ +\n\ +Return a namedtuple of installed asynchronous generators hooks \ +(firstiter, finalizer)." +); + + static PyTypeObject Hash_InfoType; PyDoc_STRVAR(hash_info_doc, @@ -1315,6 +1422,10 @@ static PyMethodDef sys_methods[] = { set_coroutine_wrapper_doc}, {"get_coroutine_wrapper", sys_get_coroutine_wrapper, METH_NOARGS, get_coroutine_wrapper_doc}, + {"set_asyncgen_hooks", sys_set_asyncgen_hooks, + METH_VARARGS | METH_KEYWORDS, set_asyncgen_hooks_doc}, + {"get_asyncgen_hooks", sys_get_asyncgen_hooks, METH_NOARGS, + get_asyncgen_hooks_doc}, {NULL, NULL} /* sentinel */ }; @@ -1950,6 +2061,14 @@ _PySys_Init(void) SET_SYS_FROM_STRING("thread_info", PyThread_GetInfo()); #endif + /* initialize asyncgen_hooks */ + if (AsyncGenHooksType.tp_name == NULL) { + if (PyStructSequence_InitType2( + &AsyncGenHooksType, &asyncgen_hooks_desc) < 0) { + return NULL; + } + } + #undef SET_SYS_FROM_STRING #undef SET_SYS_FROM_STRING_BORROW if (PyErr_Occurred()) -- cgit v1.2.1 From 5f9440b6881420f506ab7cb897c30d14933dcfea Mon Sep 17 00:00:00 2001 From: Yury Selivanov Date: Thu, 8 Sep 2016 23:38:21 -0700 Subject: ceval: tighten the code of STORE_ANNOTATION --- Python/ceval.c | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index f737a2f3a0..75ec7b2abe 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -1921,11 +1921,10 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) err = PyObject_SetItem(ann_dict, name, ann); } Py_DECREF(ann_dict); + Py_DECREF(ann); if (err != 0) { - Py_DECREF(ann); goto error; } - Py_DECREF(ann); DISPATCH(); } -- cgit v1.2.1 From d6f6b39aecf494e88eba6b33c82a66cf150fb9f2 Mon Sep 17 00:00:00 2001 From: Yury Selivanov Date: Fri, 9 Sep 2016 00:05:42 -0700 Subject: Issue #28003: Fix a compiler warning --- Python/sysmodule.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/sysmodule.c b/Python/sysmodule.c index 3a02ae9eaf..44191fcb47 100644 --- a/Python/sysmodule.c +++ b/Python/sysmodule.c @@ -1422,7 +1422,7 @@ static PyMethodDef sys_methods[] = { set_coroutine_wrapper_doc}, {"get_coroutine_wrapper", sys_get_coroutine_wrapper, METH_NOARGS, get_coroutine_wrapper_doc}, - {"set_asyncgen_hooks", sys_set_asyncgen_hooks, + {"set_asyncgen_hooks", (PyCFunction)sys_set_asyncgen_hooks, METH_VARARGS | METH_KEYWORDS, set_asyncgen_hooks_doc}, {"get_asyncgen_hooks", sys_get_asyncgen_hooks, METH_NOARGS, get_asyncgen_hooks_doc}, -- cgit v1.2.1 From 28f90ff4e19dd2030155b50984419a302d94421c Mon Sep 17 00:00:00 2001 From: Guido van Rossum Date: Fri, 9 Sep 2016 09:36:26 -0700 Subject: Issue #27999: Make "global after use" a SyntaxError, and ditto for nonlocal. Patch by Ivan Levkivskyi. --- Python/symtable.c | 104 +++++++++++++++++++----------------------------------- 1 file changed, 36 insertions(+), 68 deletions(-) (limited to 'Python') diff --git a/Python/symtable.c b/Python/symtable.c index e55813feb5..9325dc170f 100644 --- a/Python/symtable.c +++ b/Python/symtable.c @@ -6,16 +6,22 @@ /* error strings used for warnings */ #define GLOBAL_AFTER_ASSIGN \ -"name '%.400s' is assigned to before global declaration" +"name '%U' is assigned to before global declaration" #define NONLOCAL_AFTER_ASSIGN \ -"name '%.400s' is assigned to before nonlocal declaration" +"name '%U' is assigned to before nonlocal declaration" #define GLOBAL_AFTER_USE \ -"name '%.400s' is used prior to global declaration" +"name '%U' is used prior to global declaration" #define NONLOCAL_AFTER_USE \ -"name '%.400s' is used prior to nonlocal declaration" +"name '%U' is used prior to nonlocal declaration" + +#define GLOBAL_ANNOT \ +"annotated name '%U' can't be global" + +#define NONLOCAL_ANNOT \ +"annotated name '%U' can't be nonlocal" #define IMPORT_STAR_WARNING "import * only allowed at module level" @@ -161,7 +167,6 @@ PyTypeObject PySTEntry_Type = { }; static int symtable_analyze(struct symtable *st); -static int symtable_warn(struct symtable *st, const char *msg, int lineno); static int symtable_enter_block(struct symtable *st, identifier name, _Py_block_ty block, void *ast, int lineno, int col_offset); @@ -907,27 +912,6 @@ symtable_analyze(struct symtable *st) return r; } - -static int -symtable_warn(struct symtable *st, const char *msg, int lineno) -{ - PyObject *message = PyUnicode_FromString(msg); - if (message == NULL) - return 0; - if (PyErr_WarnExplicitObject(PyExc_SyntaxWarning, message, st->st_filename, - lineno, NULL, NULL) < 0) { - Py_DECREF(message); - if (PyErr_ExceptionMatches(PyExc_SyntaxWarning)) { - PyErr_SetString(PyExc_SyntaxError, msg); - PyErr_SyntaxLocationObject(st->st_filename, st->st_cur->ste_lineno, - st->st_cur->ste_col_offset); - } - return 0; - } - Py_DECREF(message); - return 1; -} - /* symtable_enter_block() gets a reference via ste_new. This reference is released when the block is exited, via the DECREF in symtable_exit_block(). @@ -1212,9 +1196,8 @@ symtable_visit_stmt(struct symtable *st, stmt_ty s) if ((cur & (DEF_GLOBAL | DEF_NONLOCAL)) && s->v.AnnAssign.simple) { PyErr_Format(PyExc_SyntaxError, - "annotated name '%U' can't be %s", - e_name->v.Name.id, - cur & DEF_GLOBAL ? "global" : "nonlocal"); + cur & DEF_GLOBAL ? GLOBAL_ANNOT : NONLOCAL_ANNOT, + e_name->v.Name.id); PyErr_SyntaxLocationObject(st->st_filename, s->lineno, s->col_offset); @@ -1297,31 +1280,24 @@ symtable_visit_stmt(struct symtable *st, stmt_ty s) long cur = symtable_lookup(st, name); if (cur < 0) VISIT_QUIT(st, 0); - if (cur & DEF_ANNOT) { + if (cur & (DEF_LOCAL | USE | DEF_ANNOT)) { + char* msg; + if (cur & DEF_ANNOT) { + msg = GLOBAL_ANNOT; + } + if (cur & DEF_LOCAL) { + msg = GLOBAL_AFTER_ASSIGN; + } + else { + msg = GLOBAL_AFTER_USE; + } PyErr_Format(PyExc_SyntaxError, - "annotated name '%U' can't be global", - name); + msg, name); PyErr_SyntaxLocationObject(st->st_filename, s->lineno, s->col_offset); VISIT_QUIT(st, 0); } - if (cur & (DEF_LOCAL | USE)) { - char buf[256]; - char *c_name = _PyUnicode_AsString(name); - if (!c_name) - return 0; - if (cur & DEF_LOCAL) - PyOS_snprintf(buf, sizeof(buf), - GLOBAL_AFTER_ASSIGN, - c_name); - else - PyOS_snprintf(buf, sizeof(buf), - GLOBAL_AFTER_USE, - c_name); - if (!symtable_warn(st, buf, s->lineno)) - VISIT_QUIT(st, 0); - } if (!symtable_add_def(st, name, DEF_GLOBAL)) VISIT_QUIT(st, 0); if (!symtable_record_directive(st, name, s)) @@ -1337,31 +1313,23 @@ symtable_visit_stmt(struct symtable *st, stmt_ty s) long cur = symtable_lookup(st, name); if (cur < 0) VISIT_QUIT(st, 0); - if (cur & DEF_ANNOT) { - PyErr_Format(PyExc_SyntaxError, - "annotated name '%U' can't be nonlocal", - name); + if (cur & (DEF_LOCAL | USE | DEF_ANNOT)) { + char* msg; + if (cur & DEF_ANNOT) { + msg = NONLOCAL_ANNOT; + } + if (cur & DEF_LOCAL) { + msg = NONLOCAL_AFTER_ASSIGN; + } + else { + msg = NONLOCAL_AFTER_USE; + } + PyErr_Format(PyExc_SyntaxError, msg, name); PyErr_SyntaxLocationObject(st->st_filename, s->lineno, s->col_offset); VISIT_QUIT(st, 0); } - if (cur & (DEF_LOCAL | USE)) { - char buf[256]; - char *c_name = _PyUnicode_AsString(name); - if (!c_name) - return 0; - if (cur & DEF_LOCAL) - PyOS_snprintf(buf, sizeof(buf), - NONLOCAL_AFTER_ASSIGN, - c_name); - else - PyOS_snprintf(buf, sizeof(buf), - NONLOCAL_AFTER_USE, - c_name); - if (!symtable_warn(st, buf, s->lineno)) - VISIT_QUIT(st, 0); - } if (!symtable_add_def(st, name, DEF_NONLOCAL)) VISIT_QUIT(st, 0); if (!symtable_record_directive(st, name, s)) -- cgit v1.2.1 From b26bd4a4bf3de9dbedbbbd1209fea77cd7af7689 Mon Sep 17 00:00:00 2001 From: Yury Selivanov Date: Fri, 9 Sep 2016 10:36:01 -0700 Subject: Issue #28008: Implement PEP 530 -- asynchronous comprehensions. --- Python/Python-ast.c | 27 ++++++- Python/ast.c | 35 ++++++--- Python/compile.c | 218 ++++++++++++++++++++++++++++++++++++++++++++++++---- Python/graminit.c | 37 +++++---- Python/symtable.c | 6 ++ 5 files changed, 277 insertions(+), 46 deletions(-) (limited to 'Python') diff --git a/Python/Python-ast.c b/Python/Python-ast.c index 6ab57dfe8e..f10e315707 100644 --- a/Python/Python-ast.c +++ b/Python/Python-ast.c @@ -435,10 +435,12 @@ static PyTypeObject *NotIn_type; static PyTypeObject *comprehension_type; static PyObject* ast2obj_comprehension(void*); _Py_IDENTIFIER(ifs); +_Py_IDENTIFIER(is_async); static char *comprehension_fields[]={ "target", "iter", "ifs", + "is_async", }; static PyTypeObject *excepthandler_type; static char *excepthandler_attributes[] = { @@ -1148,7 +1150,7 @@ static int init_types(void) NotIn_singleton = PyType_GenericNew(NotIn_type, NULL, NULL); if (!NotIn_singleton) return 0; comprehension_type = make_type("comprehension", &AST_type, - comprehension_fields, 3); + comprehension_fields, 4); if (!comprehension_type) return 0; if (!add_attributes(comprehension_type, NULL, 0)) return 0; excepthandler_type = make_type("excepthandler", &AST_type, NULL, 0); @@ -2445,7 +2447,8 @@ Index(expr_ty value, PyArena *arena) } comprehension_ty -comprehension(expr_ty target, expr_ty iter, asdl_seq * ifs, PyArena *arena) +comprehension(expr_ty target, expr_ty iter, asdl_seq * ifs, int is_async, + PyArena *arena) { comprehension_ty p; if (!target) { @@ -2464,6 +2467,7 @@ comprehension(expr_ty target, expr_ty iter, asdl_seq * ifs, PyArena *arena) p->target = target; p->iter = iter; p->ifs = ifs; + p->is_async = is_async; return p; } @@ -3722,6 +3726,11 @@ ast2obj_comprehension(void* _o) if (_PyObject_SetAttrId(result, &PyId_ifs, value) == -1) goto failed; Py_DECREF(value); + value = ast2obj_int(o->is_async); + if (!value) goto failed; + if (_PyObject_SetAttrId(result, &PyId_is_async, value) == -1) + goto failed; + Py_DECREF(value); return result; failed: Py_XDECREF(value); @@ -7146,6 +7155,7 @@ obj2ast_comprehension(PyObject* obj, comprehension_ty* out, PyArena* arena) expr_ty target; expr_ty iter; asdl_seq* ifs; + int is_async; if (_PyObject_HasAttrId(obj, &PyId_target)) { int res; @@ -7193,7 +7203,18 @@ obj2ast_comprehension(PyObject* obj, comprehension_ty* out, PyArena* arena) PyErr_SetString(PyExc_TypeError, "required field \"ifs\" missing from comprehension"); return 1; } - *out = comprehension(target, iter, ifs, arena); + if (_PyObject_HasAttrId(obj, &PyId_is_async)) { + int res; + tmp = _PyObject_GetAttrId(obj, &PyId_is_async); + if (tmp == NULL) goto failed; + res = obj2ast_int(tmp, &is_async, arena); + if (res != 0) goto failed; + Py_CLEAR(tmp); + } else { + PyErr_SetString(PyExc_TypeError, "required field \"is_async\" missing from comprehension"); + return 1; + } + *out = comprehension(target, iter, ifs, is_async, arena); return 0; failed: Py_XDECREF(tmp); diff --git a/Python/ast.c b/Python/ast.c index e89ec22584..37193329c8 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -1747,14 +1747,21 @@ static int count_comp_fors(struct compiling *c, const node *n) { int n_fors = 0; + int is_async; count_comp_for: + is_async = 0; n_fors++; REQ(n, comp_for); - if (NCH(n) == 5) - n = CHILD(n, 4); - else + if (TYPE(CHILD(n, 0)) == ASYNC) { + is_async = 1; + } + if (NCH(n) == (5 + is_async)) { + n = CHILD(n, 4 + is_async); + } + else { return n_fors; + } count_comp_iter: REQ(n, comp_iter); n = CHILD(n, 0); @@ -1817,14 +1824,19 @@ ast_for_comprehension(struct compiling *c, const node *n) asdl_seq *t; expr_ty expression, first; node *for_ch; + int is_async = 0; REQ(n, comp_for); - for_ch = CHILD(n, 1); + if (TYPE(CHILD(n, 0)) == ASYNC) { + is_async = 1; + } + + for_ch = CHILD(n, 1 + is_async); t = ast_for_exprlist(c, for_ch, Store); if (!t) return NULL; - expression = ast_for_expr(c, CHILD(n, 3)); + expression = ast_for_expr(c, CHILD(n, 3 + is_async)); if (!expression) return NULL; @@ -1832,19 +1844,20 @@ ast_for_comprehension(struct compiling *c, const node *n) (x for x, in ...) has 1 element in t, but still requires a Tuple. */ first = (expr_ty)asdl_seq_GET(t, 0); if (NCH(for_ch) == 1) - comp = comprehension(first, expression, NULL, c->c_arena); + comp = comprehension(first, expression, NULL, + is_async, c->c_arena); else - comp = comprehension(Tuple(t, Store, first->lineno, first->col_offset, - c->c_arena), - expression, NULL, c->c_arena); + comp = comprehension(Tuple(t, Store, first->lineno, + first->col_offset, c->c_arena), + expression, NULL, is_async, c->c_arena); if (!comp) return NULL; - if (NCH(n) == 5) { + if (NCH(n) == (5 + is_async)) { int j, n_ifs; asdl_seq *ifs; - n = CHILD(n, 4); + n = CHILD(n, 4 + is_async); n_ifs = count_comp_ifs(c, n); if (n_ifs == -1) return NULL; diff --git a/Python/compile.c b/Python/compile.c index faae4f5828..20fe4bc5b5 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -202,6 +202,16 @@ static int compiler_call_helper(struct compiler *c, int n, static int compiler_try_except(struct compiler *, stmt_ty); static int compiler_set_qualname(struct compiler *); +static int compiler_sync_comprehension_generator( + struct compiler *c, + asdl_seq *generators, int gen_index, + expr_ty elt, expr_ty val, int type); + +static int compiler_async_comprehension_generator( + struct compiler *c, + asdl_seq *generators, int gen_index, + expr_ty elt, expr_ty val, int type); + static PyCodeObject *assemble(struct compiler *, int addNone); static PyObject *__doc__; @@ -2165,14 +2175,14 @@ compiler_for(struct compiler *c, stmt_ty s) static int compiler_async_for(struct compiler *c, stmt_ty s) { - static PyObject *stopiter_error = NULL; + _Py_IDENTIFIER(StopAsyncIteration); + basicblock *try, *except, *end, *after_try, *try_cleanup, *after_loop, *after_loop_else; - if (stopiter_error == NULL) { - stopiter_error = PyUnicode_InternFromString("StopAsyncIteration"); - if (stopiter_error == NULL) - return 0; + PyObject *stop_aiter_error = _PyUnicode_FromId(&PyId_StopAsyncIteration); + if (stop_aiter_error == NULL) { + return 0; } try = compiler_new_block(c); @@ -2214,7 +2224,7 @@ compiler_async_for(struct compiler *c, stmt_ty s) compiler_use_next_block(c, except); ADDOP(c, DUP_TOP); - ADDOP_O(c, LOAD_GLOBAL, stopiter_error, names); + ADDOP_O(c, LOAD_GLOBAL, stop_aiter_error, names); ADDOP_I(c, COMPARE_OP, PyCmp_EXC_MATCH); ADDOP_JABS(c, POP_JUMP_IF_FALSE, try_cleanup); @@ -3627,10 +3637,27 @@ compiler_call_helper(struct compiler *c, - iterate over the generator sequence instead of using recursion */ + static int compiler_comprehension_generator(struct compiler *c, asdl_seq *generators, int gen_index, expr_ty elt, expr_ty val, int type) +{ + comprehension_ty gen; + gen = (comprehension_ty)asdl_seq_GET(generators, gen_index); + if (gen->is_async) { + return compiler_async_comprehension_generator( + c, generators, gen_index, elt, val, type); + } else { + return compiler_sync_comprehension_generator( + c, generators, gen_index, elt, val, type); + } +} + +static int +compiler_sync_comprehension_generator(struct compiler *c, + asdl_seq *generators, int gen_index, + expr_ty elt, expr_ty val, int type) { /* generate code for the iterator, then each of the ifs, and then write to the element */ @@ -3717,21 +3744,168 @@ compiler_comprehension_generator(struct compiler *c, return 1; } +static int +compiler_async_comprehension_generator(struct compiler *c, + asdl_seq *generators, int gen_index, + expr_ty elt, expr_ty val, int type) +{ + _Py_IDENTIFIER(StopAsyncIteration); + + comprehension_ty gen; + basicblock *anchor, *skip, *if_cleanup, *try, + *after_try, *except, *try_cleanup; + Py_ssize_t i, n; + + PyObject *stop_aiter_error = _PyUnicode_FromId(&PyId_StopAsyncIteration); + if (stop_aiter_error == NULL) { + return 0; + } + + try = compiler_new_block(c); + after_try = compiler_new_block(c); + try_cleanup = compiler_new_block(c); + except = compiler_new_block(c); + skip = compiler_new_block(c); + if_cleanup = compiler_new_block(c); + anchor = compiler_new_block(c); + + if (skip == NULL || if_cleanup == NULL || anchor == NULL || + try == NULL || after_try == NULL || + except == NULL || after_try == NULL) { + return 0; + } + + gen = (comprehension_ty)asdl_seq_GET(generators, gen_index); + + if (gen_index == 0) { + /* Receive outermost iter as an implicit argument */ + c->u->u_argcount = 1; + ADDOP_I(c, LOAD_FAST, 0); + } + else { + /* Sub-iter - calculate on the fly */ + VISIT(c, expr, gen->iter); + ADDOP(c, GET_AITER); + ADDOP_O(c, LOAD_CONST, Py_None, consts); + ADDOP(c, YIELD_FROM); + } + + compiler_use_next_block(c, try); + + + ADDOP_JREL(c, SETUP_EXCEPT, except); + if (!compiler_push_fblock(c, EXCEPT, try)) + return 0; + + ADDOP(c, GET_ANEXT); + ADDOP_O(c, LOAD_CONST, Py_None, consts); + ADDOP(c, YIELD_FROM); + VISIT(c, expr, gen->target); + ADDOP(c, POP_BLOCK); + compiler_pop_fblock(c, EXCEPT, try); + ADDOP_JREL(c, JUMP_FORWARD, after_try); + + + compiler_use_next_block(c, except); + ADDOP(c, DUP_TOP); + ADDOP_O(c, LOAD_GLOBAL, stop_aiter_error, names); + ADDOP_I(c, COMPARE_OP, PyCmp_EXC_MATCH); + ADDOP_JABS(c, POP_JUMP_IF_FALSE, try_cleanup); + + ADDOP(c, POP_TOP); + ADDOP(c, POP_TOP); + ADDOP(c, POP_TOP); + ADDOP(c, POP_EXCEPT); /* for SETUP_EXCEPT */ + ADDOP_JABS(c, JUMP_ABSOLUTE, anchor); + + + compiler_use_next_block(c, try_cleanup); + ADDOP(c, END_FINALLY); + + compiler_use_next_block(c, after_try); + + n = asdl_seq_LEN(gen->ifs); + for (i = 0; i < n; i++) { + expr_ty e = (expr_ty)asdl_seq_GET(gen->ifs, i); + VISIT(c, expr, e); + ADDOP_JABS(c, POP_JUMP_IF_FALSE, if_cleanup); + NEXT_BLOCK(c); + } + + if (++gen_index < asdl_seq_LEN(generators)) + if (!compiler_comprehension_generator(c, + generators, gen_index, + elt, val, type)) + return 0; + + /* only append after the last for generator */ + if (gen_index >= asdl_seq_LEN(generators)) { + /* comprehension specific code */ + switch (type) { + case COMP_GENEXP: + VISIT(c, expr, elt); + ADDOP(c, YIELD_VALUE); + ADDOP(c, POP_TOP); + break; + case COMP_LISTCOMP: + VISIT(c, expr, elt); + ADDOP_I(c, LIST_APPEND, gen_index + 1); + break; + case COMP_SETCOMP: + VISIT(c, expr, elt); + ADDOP_I(c, SET_ADD, gen_index + 1); + break; + case COMP_DICTCOMP: + /* With 'd[k] = v', v is evaluated before k, so we do + the same. */ + VISIT(c, expr, val); + VISIT(c, expr, elt); + ADDOP_I(c, MAP_ADD, gen_index + 1); + break; + default: + return 0; + } + + compiler_use_next_block(c, skip); + } + compiler_use_next_block(c, if_cleanup); + ADDOP_JABS(c, JUMP_ABSOLUTE, try); + compiler_use_next_block(c, anchor); + ADDOP(c, POP_TOP); + + return 1; +} + static int compiler_comprehension(struct compiler *c, expr_ty e, int type, identifier name, asdl_seq *generators, expr_ty elt, expr_ty val) { PyCodeObject *co = NULL; - expr_ty outermost_iter; + comprehension_ty outermost; PyObject *qualname = NULL; + int is_async_function = c->u->u_ste->ste_coroutine; + int is_async_generator = 0; - outermost_iter = ((comprehension_ty) - asdl_seq_GET(generators, 0))->iter; + outermost = (comprehension_ty) asdl_seq_GET(generators, 0); if (!compiler_enter_scope(c, name, COMPILER_SCOPE_COMPREHENSION, (void *)e, e->lineno)) + { goto error; + } + + is_async_generator = c->u->u_ste->ste_coroutine; + + if (is_async_generator && !is_async_function) { + if (e->lineno > c->u->u_lineno) { + c->u->u_lineno = e->lineno; + c->u->u_lineno_set = 0; + } + compiler_error(c, "asynchronous comprehension outside of " + "an asynchronous function"); + goto error_in_scope; + } if (type != COMP_GENEXP) { int op; @@ -3774,9 +3948,24 @@ compiler_comprehension(struct compiler *c, expr_ty e, int type, Py_DECREF(qualname); Py_DECREF(co); - VISIT(c, expr, outermost_iter); - ADDOP(c, GET_ITER); + VISIT(c, expr, outermost->iter); + + if (outermost->is_async) { + ADDOP(c, GET_AITER); + ADDOP_O(c, LOAD_CONST, Py_None, consts); + ADDOP(c, YIELD_FROM); + } else { + ADDOP(c, GET_ITER); + } + ADDOP_I(c, CALL_FUNCTION, 1); + + if (is_async_generator && type != COMP_GENEXP) { + ADDOP(c, GET_AWAITABLE); + ADDOP_O(c, LOAD_CONST, Py_None, consts); + ADDOP(c, YIELD_FROM); + } + return 1; error_in_scope: compiler_exit_scope(c); @@ -4140,11 +4329,8 @@ compiler_visit_expr(struct compiler *c, expr_ty e) if (c->u->u_ste->ste_type != FunctionBlock) return compiler_error(c, "'await' outside function"); - if (c->u->u_scope_type == COMPILER_SCOPE_COMPREHENSION) - return compiler_error( - c, "'await' expressions in comprehensions are not supported"); - - if (c->u->u_scope_type != COMPILER_SCOPE_ASYNC_FUNCTION) + if (c->u->u_scope_type != COMPILER_SCOPE_ASYNC_FUNCTION && + c->u->u_scope_type != COMPILER_SCOPE_COMPREHENSION) return compiler_error(c, "'await' outside async function"); VISIT(c, expr, e->v.Await.value); diff --git a/Python/graminit.c b/Python/graminit.c index c11b8317fd..f2584e0a2a 100644 --- a/Python/graminit.c +++ b/Python/graminit.c @@ -1812,32 +1812,37 @@ static state states_80[2] = { {2, arcs_80_0}, {1, arcs_80_1}, }; -static arc arcs_81_0[1] = { - {101, 1}, +static arc arcs_81_0[2] = { + {21, 1}, + {101, 2}, }; static arc arcs_81_1[1] = { - {66, 2}, + {101, 2}, }; static arc arcs_81_2[1] = { - {102, 3}, + {66, 3}, }; static arc arcs_81_3[1] = { - {112, 4}, + {102, 4}, }; -static arc arcs_81_4[2] = { - {171, 5}, - {0, 4}, +static arc arcs_81_4[1] = { + {112, 5}, }; -static arc arcs_81_5[1] = { +static arc arcs_81_5[2] = { + {171, 6}, {0, 5}, }; -static state states_81[6] = { - {1, arcs_81_0}, +static arc arcs_81_6[1] = { + {0, 6}, +}; +static state states_81[7] = { + {2, arcs_81_0}, {1, arcs_81_1}, {1, arcs_81_2}, {1, arcs_81_3}, - {2, arcs_81_4}, - {1, arcs_81_5}, + {1, arcs_81_4}, + {2, arcs_81_5}, + {1, arcs_81_6}, }; static arc arcs_82_0[1] = { {97, 1}, @@ -2060,9 +2065,9 @@ static dfa dfas[86] = { {335, "argument", 0, 4, states_79, "\000\040\200\000\006\000\000\000\000\000\010\000\000\000\020\002\000\300\220\050\037\000"}, {336, "comp_iter", 0, 2, states_80, - "\000\000\000\000\000\000\000\000\000\000\000\000\042\000\000\000\000\000\000\000\000\000"}, - {337, "comp_for", 0, 6, states_81, - "\000\000\000\000\000\000\000\000\000\000\000\000\040\000\000\000\000\000\000\000\000\000"}, + "\000\000\040\000\000\000\000\000\000\000\000\000\042\000\000\000\000\000\000\000\000\000"}, + {337, "comp_for", 0, 7, states_81, + "\000\000\040\000\000\000\000\000\000\000\000\000\040\000\000\000\000\000\000\000\000\000"}, {338, "comp_if", 0, 4, states_82, "\000\000\000\000\000\000\000\000\000\000\000\000\002\000\000\000\000\000\000\000\000\000"}, {339, "encoding_decl", 0, 2, states_83, diff --git a/Python/symtable.c b/Python/symtable.c index 9325dc170f..f762904240 100644 --- a/Python/symtable.c +++ b/Python/symtable.c @@ -1682,6 +1682,9 @@ symtable_visit_comprehension(struct symtable *st, comprehension_ty lc) VISIT(st, expr, lc->target); VISIT(st, expr, lc->iter); VISIT_SEQ(st, expr, lc->ifs); + if (lc->is_async) { + st->st_cur->ste_coroutine = 1; + } return 1; } @@ -1734,6 +1737,9 @@ symtable_handle_comprehension(struct symtable *st, expr_ty e, return 0; } st->st_cur->ste_generator = is_generator; + if (outermost->is_async) { + st->st_cur->ste_coroutine = 1; + } /* Outermost iter is received as an argument */ if (!symtable_implicit_arg(st, 0)) { symtable_exit_block(st, (void *)e); -- cgit v1.2.1 From 2b5865ab2c78d3bdaf8ad7047762b5d0d41d8654 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Fri, 9 Sep 2016 10:17:08 -0700 Subject: Rework CALL_FUNCTION* opcodes Issue #27213: Rework CALL_FUNCTION* opcodes to produce shorter and more efficient bytecode: * CALL_FUNCTION now only accepts position arguments * CALL_FUNCTION_KW accepts position arguments and keyword arguments, but keys of keyword arguments are packed into a constant tuple. * CALL_FUNCTION_EX is the most generic, it expects a tuple and a dict for positional and keyword arguments. CALL_FUNCTION_VAR and CALL_FUNCTION_VAR_KW opcodes have been removed. 2 tests of test_traceback are currently broken: skip test, the issue #28050 was created to track the issue. Patch by Demur Rumed, design by Serhiy Storchaka, reviewed by Serhiy Storchaka and Victor Stinner. --- Python/ceval.c | 492 +++---- Python/compile.c | 159 +-- Python/importlib.h | 2890 +++++++++++++++++++------------------- Python/importlib_external.h | 3207 ++++++++++++++++++++++--------------------- Python/opcode_targets.h | 4 +- 5 files changed, 3326 insertions(+), 3426 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 75ec7b2abe..9b9245ed42 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -109,19 +109,15 @@ typedef PyObject *(*callproc)(PyObject *, PyObject *, PyObject *); /* Forward declarations */ #ifdef WITH_TSC -static PyObject * call_function(PyObject ***, int, uint64*, uint64*); +static PyObject * call_function(PyObject ***, Py_ssize_t, PyObject *, uint64*, uint64*); #else -static PyObject * call_function(PyObject ***, int); +static PyObject * call_function(PyObject ***, Py_ssize_t, PyObject *); #endif -static PyObject * fast_function(PyObject *, PyObject **, Py_ssize_t, Py_ssize_t); -static PyObject * do_call(PyObject *, PyObject ***, Py_ssize_t, Py_ssize_t); -static PyObject * ext_do_call(PyObject *, PyObject ***, int, Py_ssize_t, Py_ssize_t); -static PyObject * update_keyword_args(PyObject *, Py_ssize_t, PyObject ***, - PyObject *); -static PyObject * update_star_args(Py_ssize_t, Py_ssize_t, PyObject *, PyObject ***); +static PyObject * fast_function(PyObject *, PyObject ***, Py_ssize_t, PyObject *); +static PyObject * do_call(PyObject *, PyObject ***, Py_ssize_t, PyObject *); +static PyObject * do_call_core(PyObject *, PyObject *, PyObject *); +static PyObject * create_keyword_args(PyObject *, PyObject ***, PyObject *); static PyObject * load_args(PyObject ***, Py_ssize_t); -#define CALL_FLAG_VAR 1 -#define CALL_FLAG_KW 2 #ifdef LLTRACE static int lltrace; @@ -2659,8 +2655,14 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) TARGET(BUILD_LIST_UNPACK) { int convert_to_tuple = opcode == BUILD_TUPLE_UNPACK; Py_ssize_t i; - PyObject *sum = PyList_New(0); + PyObject *sum; PyObject *return_value; + + if (convert_to_tuple && oparg == 1 && PyTuple_CheckExact(TOP())) { + DISPATCH(); + } + + sum = PyList_New(0); if (sum == NULL) goto error; @@ -2847,29 +2849,25 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) TARGET(BUILD_MAP_UNPACK_WITH_CALL) TARGET(BUILD_MAP_UNPACK) { int with_call = opcode == BUILD_MAP_UNPACK_WITH_CALL; - int num_maps; - int function_location; Py_ssize_t i; - PyObject *sum = PyDict_New(); + PyObject *sum; + + if (with_call && oparg == 1 && PyDict_CheckExact(TOP())) { + DISPATCH(); + } + + sum = PyDict_New(); if (sum == NULL) goto error; - if (with_call) { - num_maps = oparg & 0xff; - function_location = (oparg>>8) & 0xff; - } - else { - num_maps = oparg; - } - for (i = num_maps; i > 0; i--) { + for (i = oparg; i > 0; i--) { PyObject *arg = PEEK(i); - if (with_call) { + if (with_call && PyDict_Size(sum)) { PyObject *intersection = _PyDictView_Intersect(sum, arg); if (intersection == NULL) { if (PyErr_ExceptionMatches(PyExc_AttributeError)) { - PyObject *func = ( - PEEK(function_location + num_maps)); + PyObject *func = PEEK(2 + oparg); PyErr_Format(PyExc_TypeError, "%.200s%.200s argument after ** " "must be a mapping, not %.200s", @@ -2884,7 +2882,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) if (PySet_GET_SIZE(intersection)) { Py_ssize_t idx = 0; PyObject *key; - PyObject *func = PEEK(function_location + num_maps); + PyObject *func = PEEK(2 + oparg); Py_hash_t hash; _PySet_NextEntry(intersection, &idx, &key, &hash); if (!PyUnicode_Check(key)) { @@ -2918,7 +2916,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) } } - while (num_maps--) + while (oparg--) Py_DECREF(POP()); PUSH(sum); DISPATCH(); @@ -3409,63 +3407,62 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) PCALL(PCALL_ALL); sp = stack_pointer; #ifdef WITH_TSC - res = call_function(&sp, oparg, &intr0, &intr1); + res = call_function(&sp, oparg, NULL, &intr0, &intr1); #else - res = call_function(&sp, oparg); + res = call_function(&sp, oparg, NULL); #endif stack_pointer = sp; PUSH(res); - if (res == NULL) + if (res == NULL) { goto error; + } DISPATCH(); } - TARGET(CALL_FUNCTION_VAR) - TARGET(CALL_FUNCTION_KW) - TARGET(CALL_FUNCTION_VAR_KW) { - Py_ssize_t nargs = oparg & 0xff; - Py_ssize_t nkwargs = (oparg>>8) & 0xff; - int flags = (opcode - CALL_FUNCTION) & 3; - Py_ssize_t n; - PyObject **pfunc, *func, **sp, *res; + TARGET(CALL_FUNCTION_KW) { + PyObject **sp, *res, *names; + + names = POP(); + assert(PyTuple_CheckExact(names) && PyTuple_GET_SIZE(names) <= oparg); PCALL(PCALL_ALL); + sp = stack_pointer; +#ifdef WITH_TSC + res = call_function(&sp, oparg, names, &intr0, &intr1); +#else + res = call_function(&sp, oparg, names); +#endif + stack_pointer = sp; + PUSH(res); + Py_DECREF(names); - n = nargs + 2 * nkwargs; - if (flags & CALL_FLAG_VAR) { - n++; - } - if (flags & CALL_FLAG_KW) { - n++; + if (res == NULL) { + goto error; } - pfunc = stack_pointer - n - 1; - func = *pfunc; + DISPATCH(); + } - if (PyMethod_Check(func) - && PyMethod_GET_SELF(func) != NULL) { - PyObject *self = PyMethod_GET_SELF(func); - Py_INCREF(self); - func = PyMethod_GET_FUNCTION(func); - Py_INCREF(func); - Py_SETREF(*pfunc, self); - nargs++; - } - else { - Py_INCREF(func); + TARGET(CALL_FUNCTION_EX) { + PyObject *func, *callargs, *kwargs = NULL, *result; + PCALL(PCALL_ALL); + if (oparg & 0x01) { + kwargs = POP(); + assert(PyDict_CheckExact(kwargs)); } - sp = stack_pointer; + callargs = POP(); + assert(PyTuple_CheckExact(callargs)); + func = TOP(); + READ_TIMESTAMP(intr0); - res = ext_do_call(func, &sp, flags, nargs, nkwargs); + result = do_call_core(func, callargs, kwargs); READ_TIMESTAMP(intr1); - stack_pointer = sp; Py_DECREF(func); + Py_DECREF(callargs); + Py_XDECREF(kwargs); - while (stack_pointer > pfunc) { - PyObject *o = POP(); - Py_DECREF(o); - } - PUSH(res); - if (res == NULL) + SET_TOP(result); + if (result == NULL) { goto error; + } DISPATCH(); } @@ -3950,7 +3947,6 @@ too_many_positional(PyCodeObject *co, Py_ssize_t given, Py_ssize_t defcount, Py_DECREF(kwonly_sig); } - /* This is gonna seem *real weird*, but if you put some other code between PyEval_EvalFrame() and PyEval_EvalCodeEx() you will need to adjust the test in the if statements in Misc/gdbinit (pystack and pystackv). */ @@ -3959,6 +3955,7 @@ static PyObject * _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, PyObject **args, Py_ssize_t argcount, PyObject **kws, Py_ssize_t kwcount, + PyObject *kwnames, PyObject **kwstack, PyObject **defs, Py_ssize_t defcount, PyObject *kwdefs, PyObject *closure, PyObject *name, PyObject *qualname) @@ -3972,6 +3969,7 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, const Py_ssize_t total_args = co->co_argcount + co->co_kwonlyargcount; Py_ssize_t i, n; PyObject *kwdict; + Py_ssize_t kwcount2 = kwnames == NULL ? 0 : PyTuple_GET_SIZE(kwnames); assert((kwcount == 0) || (kws != NULL)); @@ -4033,7 +4031,7 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, } } - /* Handle keyword arguments (passed as an array of (key, value)) */ + /* Handle keyword arguments passed as an array of (key, value) pairs */ for (i = 0; i < kwcount; i++) { PyObject **co_varnames; PyObject *keyword = kws[2*i]; @@ -4092,6 +4090,61 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, SETLOCAL(j, value); } + /* Handle keyword arguments passed as keys tuple + values array */ + for (i = 0; i < kwcount2; i++) { + PyObject **co_varnames; + PyObject *keyword = PyTuple_GET_ITEM(kwnames, i); + PyObject *value = kwstack[i]; + int j; + if (keyword == NULL || !PyUnicode_Check(keyword)) { + PyErr_Format(PyExc_TypeError, + "%U() keywords must be strings", + co->co_name); + goto fail; + } + /* Speed hack: do raw pointer compares. As names are + normally interned this should almost always hit. */ + co_varnames = ((PyTupleObject *)(co->co_varnames))->ob_item; + for (j = 0; j < total_args; j++) { + PyObject *nm = co_varnames[j]; + if (nm == keyword) + goto kw_found2; + } + /* Slow fallback, just in case */ + for (j = 0; j < total_args; j++) { + PyObject *nm = co_varnames[j]; + int cmp = PyObject_RichCompareBool( + keyword, nm, Py_EQ); + if (cmp > 0) + goto kw_found2; + else if (cmp < 0) + goto fail; + } + if (j >= total_args && kwdict == NULL) { + PyErr_Format(PyExc_TypeError, + "%U() got an unexpected " + "keyword argument '%S'", + co->co_name, + keyword); + goto fail; + } + if (PyDict_SetItem(kwdict, keyword, value) == -1) { + goto fail; + } + continue; + kw_found2: + if (GETLOCAL(j) != NULL) { + PyErr_Format(PyExc_TypeError, + "%U() got multiple " + "values for argument '%S'", + co->co_name, + keyword); + goto fail; + } + Py_INCREF(value); + SETLOCAL(j, value); + } + /* Check the number of positional arguments */ if (argcount > co->co_argcount && !(co->co_flags & CO_VARARGS)) { too_many_positional(co, argcount, defcount, fastlocals); @@ -4244,6 +4297,7 @@ PyEval_EvalCodeEx(PyObject *_co, PyObject *globals, PyObject *locals, return _PyEval_EvalCodeWithName(_co, globals, locals, args, argcount, kws, kwcount, + NULL, NULL, defs, defcount, kwdefs, closure, NULL, NULL); @@ -4886,28 +4940,27 @@ if (tstate->use_tracing && tstate->c_profilefunc) { \ } static PyObject * -call_function(PyObject ***pp_stack, int oparg +call_function(PyObject ***pp_stack, Py_ssize_t oparg, PyObject *names #ifdef WITH_TSC , uint64* pintr0, uint64* pintr1 #endif ) { - Py_ssize_t nargs = oparg & 0xff; - Py_ssize_t nkwargs = (oparg>>8) & 0xff; - int n = nargs + 2 * nkwargs; - PyObject **pfunc = (*pp_stack) - n - 1; + PyObject **pfunc = (*pp_stack) - oparg - 1; PyObject *func = *pfunc; PyObject *x, *w; + Py_ssize_t nk = names == NULL ? 0 : PyTuple_GET_SIZE(names); + Py_ssize_t nargs = oparg - nk; /* Always dispatch PyCFunction first, because these are presumed to be the most frequent callable object. */ - if (PyCFunction_Check(func) && nkwargs == 0) { + if (PyCFunction_Check(func)) { int flags = PyCFunction_GET_FLAGS(func); PyThreadState *tstate = PyThreadState_GET(); PCALL(PCALL_CFUNCTION); - if (flags & (METH_NOARGS | METH_O)) { + if (names == NULL && flags & (METH_NOARGS | METH_O)) { PyCFunction meth = PyCFunction_GET_FUNCTION(func); PyObject *self = PyCFunction_GET_SELF(func); if (flags & METH_NOARGS && nargs == 0) { @@ -4928,48 +4981,57 @@ call_function(PyObject ***pp_stack, int oparg } } else { - PyObject *callargs; + PyObject *callargs, *kwdict = NULL; + if (names != NULL) { + kwdict = create_keyword_args(names, pp_stack, func); + if (kwdict == NULL) { + x = NULL; + goto cfuncerror; + } + } callargs = load_args(pp_stack, nargs); if (callargs != NULL) { READ_TIMESTAMP(*pintr0); - C_TRACE(x, PyCFunction_Call(func,callargs,NULL)); + C_TRACE(x, PyCFunction_Call(func, callargs, kwdict)); READ_TIMESTAMP(*pintr1); - Py_XDECREF(callargs); + Py_DECREF(callargs); } else { x = NULL; } + Py_XDECREF(kwdict); } } else { - if (PyMethod_Check(func) && PyMethod_GET_SELF(func) != NULL) { - /* optimize access to bound methods */ - PyObject *self = PyMethod_GET_SELF(func); - PCALL(PCALL_METHOD); - PCALL(PCALL_BOUND_METHOD); - Py_INCREF(self); - func = PyMethod_GET_FUNCTION(func); - Py_INCREF(func); - Py_SETREF(*pfunc, self); - nargs++; - n++; - } - else { - Py_INCREF(func); - } - READ_TIMESTAMP(*pintr0); - if (PyFunction_Check(func)) { - x = fast_function(func, (*pp_stack) - n, nargs, nkwargs); - } - else { - x = do_call(func, pp_stack, nargs, nkwargs); - } - READ_TIMESTAMP(*pintr1); - Py_DECREF(func); - - assert((x != NULL) ^ (PyErr_Occurred() != NULL)); + if (PyMethod_Check(func) && PyMethod_GET_SELF(func) != NULL) { + /* optimize access to bound methods */ + PyObject *self = PyMethod_GET_SELF(func); + PCALL(PCALL_METHOD); + PCALL(PCALL_BOUND_METHOD); + Py_INCREF(self); + func = PyMethod_GET_FUNCTION(func); + Py_INCREF(func); + Py_SETREF(*pfunc, self); + nargs++; + } + else { + Py_INCREF(func); + } + + READ_TIMESTAMP(*pintr0); + if (PyFunction_Check(func)) { + x = fast_function(func, pp_stack, nargs, names); + } else { + x = do_call(func, pp_stack, nargs, names); + } + READ_TIMESTAMP(*pintr1); + + Py_DECREF(func); } +cfuncerror: + assert((x != NULL) ^ (PyErr_Occurred() != NULL)); + /* Clear the stack of the function object. Also removes the arguments in case they weren't consumed already (fast_function() and err_args() leave them on the stack). @@ -4980,7 +5042,6 @@ call_function(PyObject ***pp_stack, int oparg PCALL(PCALL_POP); } - assert((x != NULL) ^ (PyErr_Occurred() != NULL)); return x; } @@ -5033,19 +5094,16 @@ _PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t nargs, /* Similar to _PyFunction_FastCall() but keywords are passed a (key, value) pairs in stack */ static PyObject * -fast_function(PyObject *func, PyObject **stack, Py_ssize_t nargs, Py_ssize_t nkwargs) +fast_function(PyObject *func, PyObject ***pp_stack, Py_ssize_t nargs, PyObject *names) { PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); PyObject *globals = PyFunction_GET_GLOBALS(func); PyObject *argdefs = PyFunction_GET_DEFAULTS(func); PyObject *kwdefs, *closure, *name, *qualname; PyObject **d; - int nd; - - assert(func != NULL); - assert(nargs >= 0); - assert(nkwargs >= 0); - assert((nargs == 0 && nkwargs == 0) || stack != NULL); + Py_ssize_t nkwargs = names == NULL ? 0 : PyTuple_GET_SIZE(names); + Py_ssize_t nd; + PyObject **stack = (*pp_stack)-nargs-nkwargs; PCALL(PCALL_FUNCTION); PCALL(PCALL_FAST_FUNCTION); @@ -5081,8 +5139,9 @@ fast_function(PyObject *func, PyObject **stack, Py_ssize_t nargs, Py_ssize_t nkw } return _PyEval_EvalCodeWithName((PyObject*)co, globals, (PyObject *)NULL, stack, nargs, - stack + nargs, nkwargs, - d, nd, kwdefs, + NULL, 0, + names, stack + nargs, + d, (int)nd, kwdefs, closure, name, qualname); } @@ -5166,6 +5225,7 @@ _PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, result = _PyEval_EvalCodeWithName((PyObject*)co, globals, (PyObject *)NULL, args, nargs, k, nk, + NULL, NULL, d, nd, kwdefs, closure, name, qualname); Py_XDECREF(kwtuple); @@ -5173,22 +5233,17 @@ _PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, } static PyObject * -update_keyword_args(PyObject *orig_kwdict, Py_ssize_t nk, PyObject ***pp_stack, +create_keyword_args(PyObject *names, PyObject ***pp_stack, PyObject *func) { - PyObject *kwdict = NULL; - if (orig_kwdict == NULL) - kwdict = PyDict_New(); - else { - kwdict = PyDict_Copy(orig_kwdict); - Py_DECREF(orig_kwdict); - } + Py_ssize_t nk = PyTuple_GET_SIZE(names); + PyObject *kwdict = _PyDict_NewPresized(nk); if (kwdict == NULL) return NULL; while (--nk >= 0) { int err; PyObject *value = EXT_POP(*pp_stack); - PyObject *key = EXT_POP(*pp_stack); + PyObject *key = PyTuple_GET_ITEM(names, nk); if (PyDict_GetItem(kwdict, key) != NULL) { PyErr_Format(PyExc_TypeError, "%.200s%s got multiple values " @@ -5196,13 +5251,11 @@ update_keyword_args(PyObject *orig_kwdict, Py_ssize_t nk, PyObject ***pp_stack, PyEval_GetFuncName(func), PyEval_GetFuncDesc(func), key); - Py_DECREF(key); Py_DECREF(value); Py_DECREF(kwdict); return NULL; } err = PyDict_SetItem(kwdict, key, value); - Py_DECREF(key); Py_DECREF(value); if (err) { Py_DECREF(kwdict); @@ -5213,183 +5266,51 @@ update_keyword_args(PyObject *orig_kwdict, Py_ssize_t nk, PyObject ***pp_stack, } static PyObject * -update_star_args(Py_ssize_t nstack, Py_ssize_t nstar, PyObject *stararg, - PyObject ***pp_stack) +load_args(PyObject ***pp_stack, Py_ssize_t nargs) { - PyObject *callargs, *w; + PyObject *args = PyTuple_New(nargs); - if (!nstack) { - if (!stararg) { - /* There are no positional arguments on the stack and there is no - sequence to be unpacked. */ - return PyTuple_New(0); - } - if (PyTuple_CheckExact(stararg)) { - /* No arguments are passed on the stack and the sequence is not a - tuple subclass so we can just pass the stararg tuple directly - to the function. */ - Py_INCREF(stararg); - return stararg; - } - } - - callargs = PyTuple_New(nstack + nstar); - if (callargs == NULL) { + if (args == NULL) { return NULL; } - if (nstar) { - Py_ssize_t i; - for (i = 0; i < nstar; i++) { - PyObject *arg = PyTuple_GET_ITEM(stararg, i); - Py_INCREF(arg); - PyTuple_SET_ITEM(callargs, nstack + i, arg); - } - } - - while (--nstack >= 0) { - w = EXT_POP(*pp_stack); - PyTuple_SET_ITEM(callargs, nstack, w); - } - return callargs; -} - -static PyObject * -load_args(PyObject ***pp_stack, Py_ssize_t na) -{ - PyObject *args = PyTuple_New(na); - PyObject *w; - - if (args == NULL) - return NULL; - while (--na >= 0) { - w = EXT_POP(*pp_stack); - PyTuple_SET_ITEM(args, na, w); + while (--nargs >= 0) { + PyObject *arg= EXT_POP(*pp_stack); + PyTuple_SET_ITEM(args, nargs, arg); } return args; } static PyObject * -do_call(PyObject *func, PyObject ***pp_stack, Py_ssize_t nargs, Py_ssize_t nkwargs) +do_call(PyObject *func, PyObject ***pp_stack, Py_ssize_t nargs, PyObject *kwnames) { - PyObject *callargs = NULL; - PyObject *kwdict = NULL; - PyObject *result = NULL; + PyObject *callargs, *kwdict, *result; - if (nkwargs > 0) { - kwdict = update_keyword_args(NULL, nkwargs, pp_stack, func); - if (kwdict == NULL) - goto call_fail; + if (kwnames != NULL) { + kwdict = create_keyword_args(kwnames, pp_stack, func); + if (kwdict == NULL) { + return NULL; + } + } + else { + kwdict = NULL; } + callargs = load_args(pp_stack, nargs); - if (callargs == NULL) - goto call_fail; -#ifdef CALL_PROFILE - /* At this point, we have to look at the type of func to - update the call stats properly. Do it here so as to avoid - exposing the call stats machinery outside ceval.c - */ - if (PyFunction_Check(func)) - PCALL(PCALL_FUNCTION); - else if (PyMethod_Check(func)) - PCALL(PCALL_METHOD); - else if (PyType_Check(func)) - PCALL(PCALL_TYPE); - else if (PyCFunction_Check(func)) - PCALL(PCALL_CFUNCTION); - else - PCALL(PCALL_OTHER); -#endif - if (PyCFunction_Check(func)) { - PyThreadState *tstate = PyThreadState_GET(); - C_TRACE(result, PyCFunction_Call(func, callargs, kwdict)); + if (callargs == NULL) { + Py_XDECREF(kwdict); + return NULL; } - else - result = PyObject_Call(func, callargs, kwdict); -call_fail: + + result = do_call_core(func, callargs, kwdict); Py_XDECREF(callargs); Py_XDECREF(kwdict); return result; } static PyObject * -ext_do_call(PyObject *func, PyObject ***pp_stack, int flags, - Py_ssize_t nargs, Py_ssize_t nkwargs) +do_call_core(PyObject *func, PyObject *callargs, PyObject *kwdict) { - Py_ssize_t nstar; - PyObject *callargs = NULL; - PyObject *stararg = NULL; - PyObject *kwdict = NULL; - PyObject *result = NULL; - - if (flags & CALL_FLAG_KW) { - kwdict = EXT_POP(*pp_stack); - if (!PyDict_CheckExact(kwdict)) { - PyObject *d; - d = PyDict_New(); - if (d == NULL) - goto ext_call_fail; - if (PyDict_Update(d, kwdict) != 0) { - Py_DECREF(d); - /* PyDict_Update raises attribute - * error (percolated from an attempt - * to get 'keys' attribute) instead of - * a type error if its second argument - * is not a mapping. - */ - if (PyErr_ExceptionMatches(PyExc_AttributeError)) { - PyErr_Format(PyExc_TypeError, - "%.200s%.200s argument after ** " - "must be a mapping, not %.200s", - PyEval_GetFuncName(func), - PyEval_GetFuncDesc(func), - kwdict->ob_type->tp_name); - } - goto ext_call_fail; - } - Py_DECREF(kwdict); - kwdict = d; - } - } - - if (nkwargs > 0) { - kwdict = update_keyword_args(kwdict, nkwargs, pp_stack, func); - if (kwdict == NULL) - goto ext_call_fail; - } - - if (flags & CALL_FLAG_VAR) { - stararg = EXT_POP(*pp_stack); - if (!PyTuple_Check(stararg)) { - PyObject *t = NULL; - if (Py_TYPE(stararg)->tp_iter == NULL && - !PySequence_Check(stararg)) { - PyErr_Format(PyExc_TypeError, - "%.200s%.200s argument after * " - "must be an iterable, not %.200s", - PyEval_GetFuncName(func), - PyEval_GetFuncDesc(func), - stararg->ob_type->tp_name); - goto ext_call_fail; - } - t = PySequence_Tuple(stararg); - if (t == NULL) { - goto ext_call_fail; - } - Py_DECREF(stararg); - stararg = t; - } - nstar = PyTuple_GET_SIZE(stararg); - } - else { - nstar = 0; - } - - callargs = update_star_args(nargs, nstar, stararg, pp_stack); - if (callargs == NULL) { - goto ext_call_fail; - } - #ifdef CALL_PROFILE /* At this point, we have to look at the type of func to update the call stats properly. Do it here so as to avoid @@ -5406,19 +5327,16 @@ ext_do_call(PyObject *func, PyObject ***pp_stack, int flags, else PCALL(PCALL_OTHER); #endif + if (PyCFunction_Check(func)) { + PyObject *result; PyThreadState *tstate = PyThreadState_GET(); C_TRACE(result, PyCFunction_Call(func, callargs, kwdict)); + return result; } else { - result = PyObject_Call(func, callargs, kwdict); + return PyObject_Call(func, callargs, kwdict); } - -ext_call_fail: - Py_XDECREF(callargs); - Py_XDECREF(kwdict); - Py_XDECREF(stararg); - return result; } /* Extract a slice index from a PyLong or an object with the diff --git a/Python/compile.c b/Python/compile.c index 20fe4bc5b5..36683d30e1 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -991,7 +991,7 @@ PyCompile_OpcodeStackEffect(int opcode, int oparg) case BUILD_MAP_UNPACK: return 1 - oparg; case BUILD_MAP_UNPACK_WITH_CALL: - return 1 - (oparg & 0xFF); + return 1 - oparg; case BUILD_MAP: return 1 - 2*oparg; case BUILD_CONST_KEY_MAP: @@ -1038,15 +1038,12 @@ PyCompile_OpcodeStackEffect(int opcode, int oparg) case RAISE_VARARGS: return -oparg; -#define NARGS(o) (((o) % 256) + 2*(((o) / 256) % 256)) case CALL_FUNCTION: - return -NARGS(oparg); - case CALL_FUNCTION_VAR: + return -oparg; case CALL_FUNCTION_KW: - return -NARGS(oparg)-1; - case CALL_FUNCTION_VAR_KW: - return -NARGS(oparg)-2; -#undef NARGS + return -oparg-1; + case CALL_FUNCTION_EX: + return - ((oparg & 0x01) != 0) - ((oparg & 0x02) != 0); case MAKE_FUNCTION: return -1 - ((oparg & 0x01) != 0) - ((oparg & 0x02) != 0) - ((oparg & 0x04) != 0) - ((oparg & 0x08) != 0); @@ -3500,22 +3497,29 @@ compiler_call_helper(struct compiler *c, asdl_seq *args, asdl_seq *keywords) { - int code = 0; - Py_ssize_t nelts, i, nseen; - int nkw; + Py_ssize_t i, nseen, nelts, nkwelts; + int musttupleunpack = 0, mustdictunpack = 0; /* the number of tuples and dictionaries on the stack */ Py_ssize_t nsubargs = 0, nsubkwargs = 0; - nkw = 0; - nseen = 0; /* the number of positional arguments on the stack */ nelts = asdl_seq_LEN(args); + nkwelts = asdl_seq_LEN(keywords); + + for (i = 0; i < nkwelts; i++) { + keyword_ty kw = asdl_seq_GET(keywords, i); + if (kw->arg == NULL) { + mustdictunpack = 1; + break; + } + } + + nseen = n; /* the number of positional arguments on the stack */ for (i = 0; i < nelts; i++) { expr_ty elt = asdl_seq_GET(args, i); if (elt->kind == Starred_kind) { /* A star-arg. If we've seen positional arguments, - pack the positional arguments into a - tuple. */ + pack the positional arguments into a tuple. */ if (nseen) { ADDOP_I(c, BUILD_TUPLE, nseen); nseen = 0; @@ -3523,102 +3527,80 @@ compiler_call_helper(struct compiler *c, } VISIT(c, expr, elt->v.Starred.value); nsubargs++; - } - else if (nsubargs) { - /* We've seen star-args already, so we - count towards items-to-pack-into-tuple. */ - VISIT(c, expr, elt); - nseen++; + musttupleunpack = 1; } else { - /* Positional arguments before star-arguments - are left on the stack. */ VISIT(c, expr, elt); - n++; + nseen++; } } - if (nseen) { - /* Pack up any trailing positional arguments. */ - ADDOP_I(c, BUILD_TUPLE, nseen); - nsubargs++; - } - if (nsubargs) { - code |= 1; - if (nsubargs > 1) { + + /* Same dance again for keyword arguments */ + if (musttupleunpack || mustdictunpack) { + if (nseen) { + /* Pack up any trailing positional arguments. */ + ADDOP_I(c, BUILD_TUPLE, nseen); + nsubargs++; + } + if (musttupleunpack || nsubargs > 1) { /* If we ended up with more than one stararg, we need to concatenate them into a single sequence. */ - ADDOP_I(c, BUILD_LIST_UNPACK, nsubargs); + ADDOP_I(c, BUILD_TUPLE_UNPACK, nsubargs); } - } - - /* Same dance again for keyword arguments */ - nseen = 0; /* the number of keyword arguments on the stack following */ - nelts = asdl_seq_LEN(keywords); - for (i = 0; i < nelts; i++) { - keyword_ty kw = asdl_seq_GET(keywords, i); - if (kw->arg == NULL) { - /* A keyword argument unpacking. */ - if (nseen) { - if (nsubkwargs) { + else if (nsubargs == 0) { + ADDOP_I(c, BUILD_TUPLE, 0); + } + nseen = 0; /* the number of keyword arguments on the stack following */ + for (i = 0; i < nkwelts; i++) { + keyword_ty kw = asdl_seq_GET(keywords, i); + if (kw->arg == NULL) { + /* A keyword argument unpacking. */ + if (nseen) { if (!compiler_subkwargs(c, keywords, i - nseen, i)) return 0; nsubkwargs++; + nseen = 0; } - else { - Py_ssize_t j; - for (j = 0; j < nseen; j++) { - VISIT(c, keyword, asdl_seq_GET(keywords, j)); - } - nkw = nseen; - } - nseen = 0; + VISIT(c, expr, kw->value); + nsubkwargs++; + } + else { + nseen++; } - VISIT(c, expr, kw->value); - nsubkwargs++; - } - else { - nseen++; } - } - if (nseen) { - if (nsubkwargs) { + if (nseen) { /* Pack up any trailing keyword arguments. */ - if (!compiler_subkwargs(c, keywords, nelts - nseen, nelts)) + if (!compiler_subkwargs(c, keywords, nkwelts - nseen, nkwelts)) return 0; nsubkwargs++; } - else { - VISIT_SEQ(c, keyword, keywords); - nkw = nseen; + if (mustdictunpack || nsubkwargs > 1) { + /* Pack it all up */ + ADDOP_I(c, BUILD_MAP_UNPACK_WITH_CALL, nsubkwargs); } + ADDOP_I(c, CALL_FUNCTION_EX, nsubkwargs > 0); + return 1; } - if (nsubkwargs) { - code |= 2; - if (nsubkwargs > 1) { - /* Pack it all up */ - int function_pos = n + (code & 1) + 2 * nkw + 1; - ADDOP_I(c, BUILD_MAP_UNPACK_WITH_CALL, nsubkwargs | (function_pos << 8)); + else if (nkwelts) { + PyObject *names; + VISIT_SEQ(c, keyword, keywords); + names = PyTuple_New(nkwelts); + if (names == NULL) { + return 0; + } + for (i = 0; i < nkwelts; i++) { + keyword_ty kw = asdl_seq_GET(keywords, i); + Py_INCREF(kw->arg); + PyTuple_SET_ITEM(names, i, kw->arg); } + ADDOP_N(c, LOAD_CONST, names, consts); + ADDOP_I(c, CALL_FUNCTION_KW, n + nelts + nkwelts); + return 1; } - assert(n < 1<<8); - assert(nkw < 1<<24); - n |= nkw << 8; - - switch (code) { - case 0: - ADDOP_I(c, CALL_FUNCTION, n); - break; - case 1: - ADDOP_I(c, CALL_FUNCTION_VAR, n); - break; - case 2: - ADDOP_I(c, CALL_FUNCTION_KW, n); - break; - case 3: - ADDOP_I(c, CALL_FUNCTION_VAR_KW, n); - break; + else { + ADDOP_I(c, CALL_FUNCTION, n + nelts); + return 1; } - return 1; } @@ -4040,7 +4022,6 @@ compiler_dictcomp(struct compiler *c, expr_ty e) static int compiler_visit_keyword(struct compiler *c, keyword_ty k) { - ADDOP_O(c, LOAD_CONST, k->arg, consts); VISIT(c, expr, k->value); return 1; } diff --git a/Python/importlib.h b/Python/importlib.h index ad73042b22..c63621ede4 100644 --- a/Python/importlib.h +++ b/Python/importlib.h @@ -366,1461 +366,1461 @@ const unsigned char _Py_M__importlib[] = { 99,107,95,109,111,100,117,108,101,178,0,0,0,115,14,0, 0,0,0,7,8,1,8,1,2,1,12,1,14,3,6,2, 114,56,0,0,0,99,1,0,0,0,0,0,0,0,3,0, - 0,0,3,0,0,0,79,0,0,0,115,10,0,0,0,124, - 0,124,1,124,2,142,0,83,0,41,1,97,46,1,0,0, - 114,101,109,111,118,101,95,105,109,112,111,114,116,108,105,98, - 95,102,114,97,109,101,115,32,105,110,32,105,109,112,111,114, - 116,46,99,32,119,105,108,108,32,97,108,119,97,121,115,32, - 114,101,109,111,118,101,32,115,101,113,117,101,110,99,101,115, - 10,32,32,32,32,111,102,32,105,109,112,111,114,116,108,105, - 98,32,102,114,97,109,101,115,32,116,104,97,116,32,101,110, - 100,32,119,105,116,104,32,97,32,99,97,108,108,32,116,111, - 32,116,104,105,115,32,102,117,110,99,116,105,111,110,10,10, - 32,32,32,32,85,115,101,32,105,116,32,105,110,115,116,101, - 97,100,32,111,102,32,97,32,110,111,114,109,97,108,32,99, - 97,108,108,32,105,110,32,112,108,97,99,101,115,32,119,104, - 101,114,101,32,105,110,99,108,117,100,105,110,103,32,116,104, - 101,32,105,109,112,111,114,116,108,105,98,10,32,32,32,32, - 102,114,97,109,101,115,32,105,110,116,114,111,100,117,99,101, - 115,32,117,110,119,97,110,116,101,100,32,110,111,105,115,101, - 32,105,110,116,111,32,116,104,101,32,116,114,97,99,101,98, - 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, - 0,0,0,41,3,218,1,102,114,49,0,0,0,90,4,107, - 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, - 114,97,109,101,115,95,114,101,109,111,118,101,100,197,0,0, - 0,115,2,0,0,0,0,8,114,58,0,0,0,114,33,0, - 0,0,41,1,218,9,118,101,114,98,111,115,105,116,121,99, - 1,0,0,0,1,0,0,0,3,0,0,0,4,0,0,0, - 71,0,0,0,115,56,0,0,0,116,0,106,1,106,2,124, - 1,107,5,114,52,124,0,106,3,100,6,131,1,115,30,100, - 3,124,0,23,0,125,0,116,4,124,0,106,5,124,2,140, - 0,100,4,116,0,106,6,144,1,131,1,1,0,100,5,83, - 0,41,7,122,61,80,114,105,110,116,32,116,104,101,32,109, - 101,115,115,97,103,101,32,116,111,32,115,116,100,101,114,114, - 32,105,102,32,45,118,47,80,89,84,72,79,78,86,69,82, - 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, - 35,32,90,4,102,105,108,101,78,41,2,114,60,0,0,0, - 114,61,0,0,0,41,7,114,14,0,0,0,218,5,102,108, - 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, - 38,0,0,0,218,6,115,116,100,101,114,114,41,3,218,7, - 109,101,115,115,97,103,101,114,59,0,0,0,114,49,0,0, - 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, - 103,101,208,0,0,0,115,8,0,0,0,0,2,12,1,10, - 1,8,1,114,68,0,0,0,99,1,0,0,0,0,0,0, - 0,2,0,0,0,3,0,0,0,3,0,0,0,115,26,0, - 0,0,135,0,102,1,100,1,100,2,132,8,125,1,116,0, - 124,1,136,0,131,2,1,0,124,1,83,0,41,3,122,49, - 68,101,99,111,114,97,116,111,114,32,116,111,32,118,101,114, - 105,102,121,32,116,104,101,32,110,97,109,101,100,32,109,111, - 100,117,108,101,32,105,115,32,98,117,105,108,116,45,105,110, - 46,99,2,0,0,0,0,0,0,0,2,0,0,0,4,0, - 0,0,19,0,0,0,115,40,0,0,0,124,1,116,0,106, - 1,107,7,114,30,116,2,100,1,106,3,124,1,131,1,100, - 2,124,1,144,1,131,1,130,1,136,0,124,0,124,1,131, - 2,83,0,41,3,78,122,29,123,33,114,125,32,105,115,32, - 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, - 0,218,20,98,117,105,108,116,105,110,95,109,111,100,117,108, - 101,95,110,97,109,101,115,218,11,73,109,112,111,114,116,69, - 114,114,111,114,114,38,0,0,0,41,2,114,26,0,0,0, - 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, - 114,97,112,112,101,114,218,0,0,0,115,8,0,0,0,0, - 1,10,1,12,1,8,1,122,52,95,114,101,113,117,105,114, - 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, - 12,0,0,0,41,2,114,72,0,0,0,114,73,0,0,0, - 114,10,0,0,0,41,1,114,72,0,0,0,114,11,0,0, - 0,218,17,95,114,101,113,117,105,114,101,115,95,98,117,105, - 108,116,105,110,216,0,0,0,115,6,0,0,0,0,2,12, - 5,10,1,114,74,0,0,0,99,1,0,0,0,0,0,0, - 0,2,0,0,0,3,0,0,0,3,0,0,0,115,26,0, - 0,0,135,0,102,1,100,1,100,2,132,8,125,1,116,0, - 124,1,136,0,131,2,1,0,124,1,83,0,41,3,122,47, - 68,101,99,111,114,97,116,111,114,32,116,111,32,118,101,114, - 105,102,121,32,116,104,101,32,110,97,109,101,100,32,109,111, - 100,117,108,101,32,105,115,32,102,114,111,122,101,110,46,99, - 2,0,0,0,0,0,0,0,2,0,0,0,4,0,0,0, - 19,0,0,0,115,40,0,0,0,116,0,106,1,124,1,131, - 1,115,30,116,2,100,1,106,3,124,1,131,1,100,2,124, - 1,144,1,131,1,130,1,136,0,124,0,124,1,131,2,83, - 0,41,3,78,122,27,123,33,114,125,32,105,115,32,110,111, - 116,32,97,32,102,114,111,122,101,110,32,109,111,100,117,108, - 101,114,15,0,0,0,41,4,114,46,0,0,0,218,9,105, - 115,95,102,114,111,122,101,110,114,70,0,0,0,114,38,0, - 0,0,41,2,114,26,0,0,0,114,71,0,0,0,41,1, - 114,72,0,0,0,114,10,0,0,0,114,11,0,0,0,218, - 24,95,114,101,113,117,105,114,101,115,95,102,114,111,122,101, - 110,95,119,114,97,112,112,101,114,229,0,0,0,115,8,0, - 0,0,0,1,10,1,12,1,8,1,122,50,95,114,101,113, - 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, - 114,12,0,0,0,41,2,114,72,0,0,0,114,76,0,0, - 0,114,10,0,0,0,41,1,114,72,0,0,0,114,11,0, - 0,0,218,16,95,114,101,113,117,105,114,101,115,95,102,114, - 111,122,101,110,227,0,0,0,115,6,0,0,0,0,2,12, - 5,10,1,114,77,0,0,0,99,2,0,0,0,0,0,0, - 0,4,0,0,0,3,0,0,0,67,0,0,0,115,64,0, - 0,0,116,0,124,1,124,0,131,2,125,2,124,1,116,1, - 106,2,107,6,114,52,116,1,106,2,124,1,25,0,125,3, - 116,3,124,2,124,3,131,2,1,0,116,1,106,2,124,1, - 25,0,83,0,110,8,116,4,124,2,131,1,83,0,100,1, - 83,0,41,2,122,128,76,111,97,100,32,116,104,101,32,115, - 112,101,99,105,102,105,101,100,32,109,111,100,117,108,101,32, - 105,110,116,111,32,115,121,115,46,109,111,100,117,108,101,115, - 32,97,110,100,32,114,101,116,117,114,110,32,105,116,46,10, - 10,32,32,32,32,84,104,105,115,32,109,101,116,104,111,100, - 32,105,115,32,100,101,112,114,101,99,97,116,101,100,46,32, - 32,85,115,101,32,108,111,97,100,101,114,46,101,120,101,99, - 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, - 218,7,109,111,100,117,108,101,115,218,5,95,101,120,101,99, - 218,5,95,108,111,97,100,41,4,114,26,0,0,0,114,71, - 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, - 104,105,109,239,0,0,0,115,12,0,0,0,0,6,10,1, - 10,1,10,1,10,1,12,2,114,84,0,0,0,99,1,0, - 0,0,0,0,0,0,5,0,0,0,35,0,0,0,67,0, - 0,0,115,218,0,0,0,116,0,124,0,100,1,100,0,131, - 3,125,1,116,1,124,1,100,2,131,2,114,54,121,10,124, - 1,106,2,124,0,131,1,83,0,4,0,116,3,107,10,114, - 52,1,0,1,0,1,0,89,0,110,2,88,0,121,10,124, - 0,106,4,125,2,87,0,110,20,4,0,116,5,107,10,114, - 84,1,0,1,0,1,0,89,0,110,18,88,0,124,2,100, - 0,107,9,114,102,116,6,124,2,131,1,83,0,121,10,124, - 0,106,7,125,3,87,0,110,24,4,0,116,5,107,10,114, - 136,1,0,1,0,1,0,100,3,125,3,89,0,110,2,88, - 0,121,10,124,0,106,8,125,4,87,0,110,52,4,0,116, - 5,107,10,114,200,1,0,1,0,1,0,124,1,100,0,107, - 8,114,184,100,4,106,9,124,3,131,1,83,0,110,12,100, - 5,106,9,124,3,124,1,131,2,83,0,89,0,110,14,88, - 0,100,6,106,9,124,3,124,4,131,2,83,0,100,0,83, - 0,41,7,78,218,10,95,95,108,111,97,100,101,114,95,95, - 218,11,109,111,100,117,108,101,95,114,101,112,114,250,1,63, - 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, - 33,114,125,32,102,114,111,109,32,123,33,114,125,62,41,10, - 114,6,0,0,0,114,4,0,0,0,114,86,0,0,0,218, - 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, - 0,218,8,95,95,102,105,108,101,95,95,114,38,0,0,0, - 41,5,114,83,0,0,0,218,6,108,111,97,100,101,114,114, - 82,0,0,0,114,15,0,0,0,218,8,102,105,108,101,110, - 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, - 255,0,0,0,115,46,0,0,0,0,2,12,1,10,4,2, - 1,10,1,14,1,6,1,2,1,10,1,14,1,6,2,8, - 1,8,4,2,1,10,1,14,1,10,1,2,1,10,1,14, - 1,8,1,12,2,18,2,114,95,0,0,0,99,0,0,0, - 0,0,0,0,0,0,0,0,0,2,0,0,0,64,0,0, - 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116,104,101,110,32,116,104,101,32,115,101,97,114,99,104,32, 105,115,32,99,111,110,115,105,100,101,114,101,100,32,97,32, - 112,97,99,107,97,103,101,32,111,114,10,32,32,32,32,110, - 111,116,46,32,32,79,110,32,109,111,100,117,108,101,115,32, - 116,104,105,115,32,105,115,32,114,101,102,108,101,99,116,101, - 100,32,98,121,32,116,104,101,32,96,95,95,112,97,116,104, - 95,95,96,32,97,116,116,114,105,98,117,116,101,46,10,10, - 32,32,32,32,96,111,114,105,103,105,110,96,32,105,115,32, - 116,104,101,32,115,112,101,99,105,102,105,99,32,108,111,99, - 97,116,105,111,110,32,117,115,101,100,32,98,121,32,116,104, - 101,32,108,111,97,100,101,114,32,102,114,111,109,32,119,104, - 105,99,104,32,116,111,10,32,32,32,32,108,111,97,100,32, - 116,104,101,32,109,111,100,117,108,101,44,32,105,102,32,116, - 104,97,116,32,105,110,102,111,114,109,97,116,105,111,110,32, - 105,115,32,97,118,97,105,108,97,98,108,101,46,32,32,87, - 104,101,110,32,102,105,108,101,110,97,109,101,32,105,115,10, - 32,32,32,32,115,101,116,44,32,111,114,105,103,105,110,32, - 119,105,108,108,32,109,97,116,99,104,46,10,10,32,32,32, - 32,96,104,97,115,95,108,111,99,97,116,105,111,110,96,32, - 105,110,100,105,99,97,116,101,115,32,116,104,97,116,32,97, - 32,115,112,101,99,39,115,32,34,111,114,105,103,105,110,34, - 32,114,101,102,108,101,99,116,115,32,97,32,108,111,99,97, - 116,105,111,110,46,10,32,32,32,32,87,104,101,110,32,116, - 104,105,115,32,105,115,32,84,114,117,101,44,32,96,95,95, - 102,105,108,101,95,95,96,32,97,116,116,114,105,98,117,116, - 101,32,111,102,32,116,104,101,32,109,111,100,117,108,101,32, - 105,115,32,115,101,116,46,10,10,32,32,32,32,96,99,97, - 99,104,101,100,96,32,105,115,32,116,104,101,32,108,111,99, - 97,116,105,111,110,32,111,102,32,116,104,101,32,99,97,99, - 104,101,100,32,98,121,116,101,99,111,100,101,32,102,105,108, - 101,44,32,105,102,32,97,110,121,46,32,32,73,116,10,32, - 32,32,32,99,111,114,114,101,115,112,111,110,100,115,32,116, - 111,32,116,104,101,32,96,95,95,99,97,99,104,101,100,95, - 95,96,32,97,116,116,114,105,98,117,116,101,46,10,10,32, - 32,32,32,96,115,117,98,109,111,100,117,108,101,95,115,101, - 97,114,99,104,95,108,111,99,97,116,105,111,110,115,96,32, - 105,115,32,116,104,101,32,115,101,113,117,101,110,99,101,32, - 111,102,32,112,97,116,104,32,101,110,116,114,105,101,115,32, - 116,111,10,32,32,32,32,115,101,97,114,99,104,32,119,104, - 101,110,32,105,109,112,111,114,116,105,110,103,32,115,117,98, - 109,111,100,117,108,101,115,46,32,32,73,102,32,115,101,116, - 44,32,105,115,95,112,97,99,107,97,103,101,32,115,104,111, - 117,108,100,32,98,101,10,32,32,32,32,84,114,117,101,45, - 45,97,110,100,32,70,97,108,115,101,32,111,116,104,101,114, - 119,105,115,101,46,10,10,32,32,32,32,80,97,99,107,97, - 103,101,115,32,97,114,101,32,115,105,109,112,108,121,32,109, - 111,100,117,108,101,115,32,116,104,97,116,32,40,109,97,121, - 41,32,104,97,118,101,32,115,117,98,109,111,100,117,108,101, - 115,46,32,32,73,102,32,97,32,115,112,101,99,10,32,32, - 32,32,104,97,115,32,97,32,110,111,110,45,78,111,110,101, - 32,118,97,108,117,101,32,105,110,32,96,115,117,98,109,111, - 100,117,108,101,95,115,101,97,114,99,104,95,108,111,99,97, - 116,105,111,110,115,96,44,32,116,104,101,32,105,109,112,111, - 114,116,10,32,32,32,32,115,121,115,116,101,109,32,119,105, - 108,108,32,99,111,110,115,105,100,101,114,32,109,111,100,117, - 108,101,115,32,108,111,97,100,101,100,32,102,114,111,109,32, - 116,104,101,32,115,112,101,99,32,97,115,32,112,97,99,107, - 97,103,101,115,46,10,10,32,32,32,32,79,110,108,121,32, - 102,105,110,100,101,114,115,32,40,115,101,101,32,105,109,112, - 111,114,116,108,105,98,46,97,98,99,46,77,101,116,97,80, - 97,116,104,70,105,110,100,101,114,32,97,110,100,10,32,32, - 32,32,105,109,112,111,114,116,108,105,98,46,97,98,99,46, - 80,97,116,104,69,110,116,114,121,70,105,110,100,101,114,41, - 32,115,104,111,117,108,100,32,109,111,100,105,102,121,32,77, - 111,100,117,108,101,83,112,101,99,32,105,110,115,116,97,110, - 99,101,115,46,10,10,32,32,32,32,78,41,3,218,6,111, - 114,105,103,105,110,218,12,108,111,97,100,101,114,95,115,116, - 97,116,101,218,10,105,115,95,112,97,99,107,97,103,101,99, - 3,0,0,0,3,0,0,0,6,0,0,0,2,0,0,0, - 67,0,0,0,115,54,0,0,0,124,1,124,0,95,0,124, - 2,124,0,95,1,124,3,124,0,95,2,124,4,124,0,95, - 3,124,5,114,32,103,0,110,2,100,0,124,0,95,4,100, - 1,124,0,95,5,100,0,124,0,95,6,100,0,83,0,41, - 2,78,70,41,7,114,15,0,0,0,114,93,0,0,0,114, - 103,0,0,0,114,104,0,0,0,218,26,115,117,98,109,111, - 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, - 26,0,0,0,114,15,0,0,0,114,93,0,0,0,114,103, - 0,0,0,114,104,0,0,0,114,105,0,0,0,114,10,0, - 0,0,114,10,0,0,0,114,11,0,0,0,114,27,0,0, - 0,99,1,0,0,115,14,0,0,0,0,2,6,1,6,1, - 6,1,6,1,14,3,6,1,122,19,77,111,100,117,108,101, - 83,112,101,99,46,95,95,105,110,105,116,95,95,99,1,0, - 0,0,0,0,0,0,2,0,0,0,4,0,0,0,67,0, - 0,0,115,102,0,0,0,100,1,106,0,124,0,106,1,131, - 1,100,2,106,0,124,0,106,2,131,1,103,2,125,1,124, - 0,106,3,100,0,107,9,114,52,124,1,106,4,100,3,106, - 0,124,0,106,3,131,1,131,1,1,0,124,0,106,5,100, - 0,107,9,114,80,124,1,106,4,100,4,106,0,124,0,106, - 5,131,1,131,1,1,0,100,5,106,0,124,0,106,6,106, - 7,100,6,106,8,124,1,131,1,131,2,83,0,41,7,78, - 122,9,110,97,109,101,61,123,33,114,125,122,11,108,111,97, - 100,101,114,61,123,33,114,125,122,11,111,114,105,103,105,110, - 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, - 41,9,114,38,0,0,0,114,15,0,0,0,114,93,0,0, - 0,114,103,0,0,0,218,6,97,112,112,101,110,100,114,106, - 0,0,0,218,9,95,95,99,108,97,115,115,95,95,114,1, - 0,0,0,218,4,106,111,105,110,41,2,114,26,0,0,0, - 114,49,0,0,0,114,10,0,0,0,114,10,0,0,0,114, - 11,0,0,0,114,40,0,0,0,111,1,0,0,115,16,0, - 0,0,0,1,10,1,14,1,10,1,18,1,10,1,8,1, - 10,1,122,19,77,111,100,117,108,101,83,112,101,99,46,95, - 95,114,101,112,114,95,95,99,2,0,0,0,0,0,0,0, - 3,0,0,0,11,0,0,0,67,0,0,0,115,102,0,0, - 0,124,0,106,0,125,2,121,70,124,0,106,1,124,1,106, - 1,107,2,111,76,124,0,106,2,124,1,106,2,107,2,111, - 76,124,0,106,3,124,1,106,3,107,2,111,76,124,2,124, - 1,106,0,107,2,111,76,124,0,106,4,124,1,106,4,107, - 2,111,76,124,0,106,5,124,1,106,5,107,2,83,0,4, - 0,116,6,107,10,114,96,1,0,1,0,1,0,100,1,83, - 0,88,0,100,0,83,0,41,2,78,70,41,7,114,106,0, - 0,0,114,15,0,0,0,114,93,0,0,0,114,103,0,0, - 0,218,6,99,97,99,104,101,100,218,12,104,97,115,95,108, - 111,99,97,116,105,111,110,114,90,0,0,0,41,3,114,26, - 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, - 6,95,95,101,113,95,95,121,1,0,0,115,20,0,0,0, - 0,1,6,1,2,1,12,1,12,1,12,1,10,1,12,1, - 12,1,14,1,122,17,77,111,100,117,108,101,83,112,101,99, - 46,95,95,101,113,95,95,99,1,0,0,0,0,0,0,0, - 1,0,0,0,2,0,0,0,67,0,0,0,115,58,0,0, - 0,124,0,106,0,100,0,107,8,114,52,124,0,106,1,100, - 0,107,9,114,52,124,0,106,2,114,52,116,3,100,0,107, - 8,114,38,116,4,130,1,116,3,106,5,124,0,106,1,131, - 1,124,0,95,0,124,0,106,0,83,0,41,1,78,41,6, - 114,108,0,0,0,114,103,0,0,0,114,107,0,0,0,218, - 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, - 99,97,99,104,101,100,41,1,114,26,0,0,0,114,10,0, - 0,0,114,10,0,0,0,114,11,0,0,0,114,112,0,0, - 0,133,1,0,0,115,12,0,0,0,0,2,10,1,16,1, - 8,1,4,1,14,1,122,17,77,111,100,117,108,101,83,112, - 101,99,46,99,97,99,104,101,100,99,2,0,0,0,0,0, - 0,0,2,0,0,0,2,0,0,0,67,0,0,0,115,10, - 0,0,0,124,1,124,0,95,0,100,0,83,0,41,1,78, - 41,1,114,108,0,0,0,41,2,114,26,0,0,0,114,112, + 102,97,105,108,117,114,101,46,10,10,32,32,32,32,32,32, + 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, + 78,41,2,114,146,0,0,0,114,93,0,0,0,41,4,114, + 143,0,0,0,114,71,0,0,0,114,144,0,0,0,114,82, 0,0,0,114,10,0,0,0,114,10,0,0,0,114,11,0, - 0,0,114,112,0,0,0,142,1,0,0,115,2,0,0,0, - 0,2,99,1,0,0,0,0,0,0,0,1,0,0,0,2, - 0,0,0,67,0,0,0,115,38,0,0,0,124,0,106,0, - 100,1,107,8,114,28,124,0,106,1,106,2,100,2,131,1, - 100,3,25,0,83,0,110,6,124,0,106,1,83,0,100,1, - 83,0,41,4,122,32,84,104,101,32,110,97,109,101,32,111, - 102,32,116,104,101,32,109,111,100,117,108,101,39,115,32,112, - 97,114,101,110,116,46,78,218,1,46,114,19,0,0,0,41, - 3,114,106,0,0,0,114,15,0,0,0,218,10,114,112,97, - 114,116,105,116,105,111,110,41,1,114,26,0,0,0,114,10, - 0,0,0,114,10,0,0,0,114,11,0,0,0,218,6,112, - 97,114,101,110,116,146,1,0,0,115,6,0,0,0,0,3, - 10,1,18,2,122,17,77,111,100,117,108,101,83,112,101,99, - 46,112,97,114,101,110,116,99,1,0,0,0,0,0,0,0, - 1,0,0,0,1,0,0,0,67,0,0,0,115,6,0,0, - 0,124,0,106,0,83,0,41,1,78,41,1,114,107,0,0, - 0,41,1,114,26,0,0,0,114,10,0,0,0,114,10,0, - 0,0,114,11,0,0,0,114,113,0,0,0,154,1,0,0, - 115,2,0,0,0,0,2,122,23,77,111,100,117,108,101,83, - 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, - 0,67,0,0,0,115,14,0,0,0,116,0,124,1,131,1, - 124,0,95,1,100,0,83,0,41,1,78,41,2,218,4,98, - 111,111,108,114,107,0,0,0,41,2,114,26,0,0,0,218, - 5,118,97,108,117,101,114,10,0,0,0,114,10,0,0,0, - 114,11,0,0,0,114,113,0,0,0,158,1,0,0,115,2, - 0,0,0,0,2,41,12,114,1,0,0,0,114,0,0,0, - 0,114,2,0,0,0,114,3,0,0,0,114,27,0,0,0, - 114,40,0,0,0,114,114,0,0,0,218,8,112,114,111,112, - 101,114,116,121,114,112,0,0,0,218,6,115,101,116,116,101, - 114,114,119,0,0,0,114,113,0,0,0,114,10,0,0,0, - 114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,114, - 102,0,0,0,62,1,0,0,115,20,0,0,0,8,35,4, - 2,4,1,14,11,8,10,8,12,12,9,14,4,12,8,12, - 4,114,102,0,0,0,41,2,114,103,0,0,0,114,105,0, - 0,0,99,2,0,0,0,2,0,0,0,6,0,0,0,15, - 0,0,0,67,0,0,0,115,164,0,0,0,116,0,124,1, - 100,1,131,2,114,80,116,1,100,2,107,8,114,22,116,2, - 130,1,116,1,106,3,125,4,124,3,100,2,107,8,114,50, - 124,4,124,0,100,3,124,1,144,1,131,1,83,0,124,3, - 114,58,103,0,110,2,100,2,125,5,124,4,124,0,100,3, - 124,1,100,4,124,5,144,2,131,1,83,0,124,3,100,2, - 107,8,114,144,116,0,124,1,100,5,131,2,114,140,121,14, - 124,1,106,4,124,0,131,1,125,3,87,0,113,144,4,0, - 116,5,107,10,114,136,1,0,1,0,1,0,100,2,125,3, - 89,0,113,144,88,0,110,4,100,6,125,3,116,6,124,0, - 124,1,100,7,124,2,100,5,124,3,144,2,131,2,83,0, - 41,8,122,53,82,101,116,117,114,110,32,97,32,109,111,100, - 117,108,101,32,115,112,101,99,32,98,97,115,101,100,32,111, - 110,32,118,97,114,105,111,117,115,32,108,111,97,100,101,114, - 32,109,101,116,104,111,100,115,46,90,12,103,101,116,95,102, - 105,108,101,110,97,109,101,78,114,93,0,0,0,114,106,0, - 0,0,114,105,0,0,0,70,114,103,0,0,0,41,7,114, - 4,0,0,0,114,115,0,0,0,114,116,0,0,0,218,23, - 115,112,101,99,95,102,114,111,109,95,102,105,108,101,95,108, - 111,99,97,116,105,111,110,114,105,0,0,0,114,70,0,0, - 0,114,102,0,0,0,41,6,114,15,0,0,0,114,93,0, - 0,0,114,103,0,0,0,114,105,0,0,0,114,124,0,0, - 0,90,6,115,101,97,114,99,104,114,10,0,0,0,114,10, - 0,0,0,114,11,0,0,0,114,78,0,0,0,163,1,0, - 0,115,34,0,0,0,0,2,10,1,8,1,4,1,6,2, - 8,1,14,1,12,1,10,1,8,2,8,1,10,1,2,1, - 14,1,14,1,12,3,4,2,114,78,0,0,0,99,3,0, - 0,0,0,0,0,0,8,0,0,0,53,0,0,0,67,0, - 0,0,115,58,1,0,0,121,10,124,0,106,0,125,3,87, - 0,110,20,4,0,116,1,107,10,114,30,1,0,1,0,1, - 0,89,0,110,14,88,0,124,3,100,0,107,9,114,44,124, - 3,83,0,124,0,106,2,125,4,124,1,100,0,107,8,114, - 90,121,10,124,0,106,3,125,1,87,0,110,20,4,0,116, - 1,107,10,114,88,1,0,1,0,1,0,89,0,110,2,88, - 0,121,10,124,0,106,4,125,5,87,0,110,24,4,0,116, - 1,107,10,114,124,1,0,1,0,1,0,100,0,125,5,89, - 0,110,2,88,0,124,2,100,0,107,8,114,184,124,5,100, - 0,107,8,114,180,121,10,124,1,106,5,125,2,87,0,113, - 184,4,0,116,1,107,10,114,176,1,0,1,0,1,0,100, - 0,125,2,89,0,113,184,88,0,110,4,124,5,125,2,121, - 10,124,0,106,6,125,6,87,0,110,24,4,0,116,1,107, - 10,114,218,1,0,1,0,1,0,100,0,125,6,89,0,110, - 2,88,0,121,14,116,7,124,0,106,8,131,1,125,7,87, - 0,110,26,4,0,116,1,107,10,144,1,114,4,1,0,1, - 0,1,0,100,0,125,7,89,0,110,2,88,0,116,9,124, - 4,124,1,100,1,124,2,144,1,131,2,125,3,124,5,100, - 0,107,8,144,1,114,36,100,2,110,2,100,3,124,3,95, - 10,124,6,124,3,95,11,124,7,124,3,95,12,124,3,83, - 0,41,4,78,114,103,0,0,0,70,84,41,13,114,89,0, - 0,0,114,90,0,0,0,114,1,0,0,0,114,85,0,0, - 0,114,92,0,0,0,90,7,95,79,82,73,71,73,78,218, - 10,95,95,99,97,99,104,101,100,95,95,218,4,108,105,115, - 116,218,8,95,95,112,97,116,104,95,95,114,102,0,0,0, - 114,107,0,0,0,114,112,0,0,0,114,106,0,0,0,41, - 8,114,83,0,0,0,114,93,0,0,0,114,103,0,0,0, - 114,82,0,0,0,114,15,0,0,0,90,8,108,111,99,97, - 116,105,111,110,114,112,0,0,0,114,106,0,0,0,114,10, - 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, - 192,1,0,0,115,72,0,0,0,0,2,2,1,10,1,14, - 1,6,2,8,1,4,2,6,1,8,1,2,1,10,1,14, - 2,6,1,2,1,10,1,14,1,10,1,8,1,8,1,2, - 1,10,1,14,1,12,2,4,1,2,1,10,1,14,1,10, - 1,2,1,14,1,16,1,10,2,16,1,20,1,6,1,6, - 1,114,128,0,0,0,70,41,1,218,8,111,118,101,114,114, - 105,100,101,99,2,0,0,0,1,0,0,0,5,0,0,0, - 59,0,0,0,67,0,0,0,115,212,1,0,0,124,2,115, - 20,116,0,124,1,100,1,100,0,131,3,100,0,107,8,114, - 54,121,12,124,0,106,1,124,1,95,2,87,0,110,20,4, - 0,116,3,107,10,114,52,1,0,1,0,1,0,89,0,110, - 2,88,0,124,2,115,74,116,0,124,1,100,2,100,0,131, - 3,100,0,107,8,114,166,124,0,106,4,125,3,124,3,100, - 0,107,8,114,134,124,0,106,5,100,0,107,9,114,134,116, - 6,100,0,107,8,114,110,116,7,130,1,116,6,106,8,125, - 4,124,4,106,9,124,4,131,1,125,3,124,0,106,5,124, - 3,95,10,121,10,124,3,124,1,95,11,87,0,110,20,4, - 0,116,3,107,10,114,164,1,0,1,0,1,0,89,0,110, - 2,88,0,124,2,115,186,116,0,124,1,100,3,100,0,131, - 3,100,0,107,8,114,220,121,12,124,0,106,12,124,1,95, - 13,87,0,110,20,4,0,116,3,107,10,114,218,1,0,1, - 0,1,0,89,0,110,2,88,0,121,10,124,0,124,1,95, - 14,87,0,110,20,4,0,116,3,107,10,114,250,1,0,1, - 0,1,0,89,0,110,2,88,0,124,2,144,1,115,20,116, - 0,124,1,100,4,100,0,131,3,100,0,107,8,144,1,114, - 68,124,0,106,5,100,0,107,9,144,1,114,68,121,12,124, - 0,106,5,124,1,95,15,87,0,110,22,4,0,116,3,107, - 10,144,1,114,66,1,0,1,0,1,0,89,0,110,2,88, - 0,124,0,106,16,144,1,114,208,124,2,144,1,115,100,116, - 0,124,1,100,5,100,0,131,3,100,0,107,8,144,1,114, - 136,121,12,124,0,106,17,124,1,95,18,87,0,110,22,4, - 0,116,3,107,10,144,1,114,134,1,0,1,0,1,0,89, - 0,110,2,88,0,124,2,144,1,115,160,116,0,124,1,100, - 6,100,0,131,3,100,0,107,8,144,1,114,208,124,0,106, - 19,100,0,107,9,144,1,114,208,121,12,124,0,106,19,124, - 1,95,20,87,0,110,22,4,0,116,3,107,10,144,1,114, - 206,1,0,1,0,1,0,89,0,110,2,88,0,124,1,83, - 0,41,7,78,114,1,0,0,0,114,85,0,0,0,218,11, - 95,95,112,97,99,107,97,103,101,95,95,114,127,0,0,0, - 114,92,0,0,0,114,125,0,0,0,41,21,114,6,0,0, - 0,114,15,0,0,0,114,1,0,0,0,114,90,0,0,0, - 114,93,0,0,0,114,106,0,0,0,114,115,0,0,0,114, - 116,0,0,0,218,16,95,78,97,109,101,115,112,97,99,101, - 76,111,97,100,101,114,218,7,95,95,110,101,119,95,95,90, - 5,95,112,97,116,104,114,85,0,0,0,114,119,0,0,0, - 114,130,0,0,0,114,89,0,0,0,114,127,0,0,0,114, - 113,0,0,0,114,103,0,0,0,114,92,0,0,0,114,112, - 0,0,0,114,125,0,0,0,41,5,114,82,0,0,0,114, - 83,0,0,0,114,129,0,0,0,114,93,0,0,0,114,131, + 0,0,218,11,102,105,110,100,95,109,111,100,117,108,101,195, + 2,0,0,115,4,0,0,0,0,9,12,1,122,27,66,117, + 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, + 0,0,2,0,0,0,4,0,0,0,67,0,0,0,115,46, + 0,0,0,124,1,106,0,116,1,106,2,107,7,114,34,116, + 3,100,1,106,4,124,1,106,0,131,1,124,1,106,0,100, + 2,141,2,130,1,116,5,116,6,106,7,124,1,131,2,83, + 0,41,3,122,24,67,114,101,97,116,101,32,97,32,98,117, + 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, + 108,116,45,105,110,32,109,111,100,117,108,101,41,1,114,15, + 0,0,0,41,8,114,15,0,0,0,114,14,0,0,0,114, + 69,0,0,0,114,70,0,0,0,114,38,0,0,0,114,58, + 0,0,0,114,46,0,0,0,90,14,99,114,101,97,116,101, + 95,98,117,105,108,116,105,110,41,2,114,26,0,0,0,114, + 82,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11, + 0,0,0,114,134,0,0,0,207,2,0,0,115,8,0,0, + 0,0,3,12,1,12,1,10,1,122,29,66,117,105,108,116, + 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, + 0,2,0,0,0,3,0,0,0,67,0,0,0,115,16,0, + 0,0,116,0,116,1,106,2,124,1,131,2,1,0,100,1, + 83,0,41,2,122,22,69,120,101,99,32,97,32,98,117,105, + 108,116,45,105,110,32,109,111,100,117,108,101,78,41,3,114, + 58,0,0,0,114,46,0,0,0,90,12,101,120,101,99,95, + 98,117,105,108,116,105,110,41,2,114,26,0,0,0,114,83, 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, - 95,97,116,116,114,115,237,1,0,0,115,92,0,0,0,0, - 4,20,1,2,1,12,1,14,1,6,2,20,1,6,1,8, - 2,10,1,8,1,4,1,6,2,10,1,8,1,2,1,10, - 1,14,1,6,2,20,1,2,1,12,1,14,1,6,2,2, - 1,10,1,14,1,6,2,24,1,12,1,2,1,12,1,16, - 1,6,2,8,1,24,1,2,1,12,1,16,1,6,2,24, - 1,12,1,2,1,12,1,16,1,6,1,114,133,0,0,0, - 99,1,0,0,0,0,0,0,0,2,0,0,0,3,0,0, - 0,67,0,0,0,115,82,0,0,0,100,1,125,1,116,0, - 124,0,106,1,100,2,131,2,114,30,124,0,106,1,106,2, - 124,0,131,1,125,1,110,20,116,0,124,0,106,1,100,3, - 131,2,114,50,116,3,100,4,131,1,130,1,124,1,100,1, - 107,8,114,68,116,4,124,0,106,5,131,1,125,1,116,6, - 124,0,124,1,131,2,1,0,124,1,83,0,41,5,122,43, - 67,114,101,97,116,101,32,97,32,109,111,100,117,108,101,32, - 98,97,115,101,100,32,111,110,32,116,104,101,32,112,114,111, - 118,105,100,101,100,32,115,112,101,99,46,78,218,13,99,114, - 101,97,116,101,95,109,111,100,117,108,101,218,11,101,120,101, - 99,95,109,111,100,117,108,101,122,66,108,111,97,100,101,114, - 115,32,116,104,97,116,32,100,101,102,105,110,101,32,101,120, - 101,99,95,109,111,100,117,108,101,40,41,32,109,117,115,116, - 32,97,108,115,111,32,100,101,102,105,110,101,32,99,114,101, - 97,116,101,95,109,111,100,117,108,101,40,41,41,7,114,4, - 0,0,0,114,93,0,0,0,114,134,0,0,0,114,70,0, - 0,0,114,16,0,0,0,114,15,0,0,0,114,133,0,0, - 0,41,2,114,82,0,0,0,114,83,0,0,0,114,10,0, - 0,0,114,10,0,0,0,114,11,0,0,0,218,16,109,111, - 100,117,108,101,95,102,114,111,109,95,115,112,101,99,41,2, - 0,0,115,18,0,0,0,0,3,4,1,12,3,14,1,12, - 1,8,2,8,1,10,1,10,1,114,136,0,0,0,99,1, - 0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,67, - 0,0,0,115,110,0,0,0,124,0,106,0,100,1,107,8, - 114,14,100,2,110,4,124,0,106,0,125,1,124,0,106,1, - 100,1,107,8,114,68,124,0,106,2,100,1,107,8,114,52, - 100,3,106,3,124,1,131,1,83,0,113,106,100,4,106,3, - 124,1,124,0,106,2,131,2,83,0,110,38,124,0,106,4, - 114,90,100,5,106,3,124,1,124,0,106,1,131,2,83,0, - 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9,114,64,100,1,106,7,124,2,131,1,125,3,116,8,124, - 3,100,2,124,2,144,1,131,1,130,1,124,0,106,9,100, - 3,107,8,114,120,124,0,106,10,100,3,107,8,114,100,116, - 8,100,4,100,2,124,0,106,0,144,1,131,1,130,1,116, - 11,124,0,124,1,100,5,100,6,144,1,131,2,1,0,124, - 1,83,0,116,11,124,0,124,1,100,5,100,6,144,1,131, - 2,1,0,116,12,124,0,106,9,100,7,131,2,115,162,124, - 0,106,9,106,13,124,2,131,1,1,0,110,12,124,0,106, - 9,106,14,124,1,131,1,1,0,87,0,100,3,81,0,82, - 0,88,0,116,4,106,5,124,2,25,0,83,0,41,8,122, - 70,69,120,101,99,117,116,101,32,116,104,101,32,115,112,101, - 99,39,115,32,115,112,101,99,105,102,105,101,100,32,109,111, - 100,117,108,101,32,105,110,32,97,110,32,101,120,105,115,116, - 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, - 109,111,100,117,108,101,115,114,15,0,0,0,78,122,14,109, - 105,115,115,105,110,103,32,108,111,97,100,101,114,114,129,0, 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115,121,115,46,109,101,116,97,95,112,97,116,104,32,105,115, - 32,101,109,112,116,121,41,12,114,14,0,0,0,218,9,109, - 101,116,97,95,112,97,116,104,114,70,0,0,0,218,9,95, - 119,97,114,110,105,110,103,115,218,4,119,97,114,110,218,13, - 73,109,112,111,114,116,87,97,114,110,105,110,103,114,79,0, - 0,0,114,157,0,0,0,114,146,0,0,0,114,90,0,0, - 0,114,165,0,0,0,114,89,0,0,0,41,10,114,15,0, - 0,0,114,144,0,0,0,114,145,0,0,0,114,166,0,0, - 0,90,9,105,115,95,114,101,108,111,97,100,114,164,0,0, - 0,114,146,0,0,0,114,82,0,0,0,114,83,0,0,0, - 114,89,0,0,0,114,10,0,0,0,114,10,0,0,0,114, - 11,0,0,0,218,10,95,102,105,110,100,95,115,112,101,99, - 93,3,0,0,115,54,0,0,0,0,2,6,1,8,2,8, - 3,4,1,12,5,10,1,10,1,8,1,2,1,10,1,14, - 1,12,1,8,1,8,2,22,1,8,2,16,1,10,1,2, - 1,10,1,14,4,6,2,8,1,6,2,6,2,8,2,114, - 170,0,0,0,99,3,0,0,0,0,0,0,0,4,0,0, - 0,4,0,0,0,67,0,0,0,115,140,0,0,0,116,0, - 124,0,116,1,131,2,115,28,116,2,100,1,106,3,116,4, - 124,0,131,1,131,1,131,1,130,1,124,2,100,2,107,0, - 114,44,116,5,100,3,131,1,130,1,124,2,100,2,107,4, - 114,114,116,0,124,1,116,1,131,2,115,72,116,2,100,4, - 131,1,130,1,110,42,124,1,115,86,116,6,100,5,131,1, - 130,1,110,28,124,1,116,7,106,8,107,7,114,114,100,6, - 125,3,116,9,124,3,106,3,124,1,131,1,131,1,130,1, - 124,0,12,0,114,136,124,2,100,2,107,2,114,136,116,5, - 100,7,131,1,130,1,100,8,83,0,41,9,122,28,86,101, - 114,105,102,121,32,97,114,103,117,109,101,110,116,115,32,97, - 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, - 115,116,114,44,32,110,111,116,32,123,125,114,19,0,0,0, - 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, - 116,114,105,110,103,122,54,97,116,116,101,109,112,116,101,100, - 32,114,101,108,97,116,105,118,101,32,105,109,112,111,114,116, - 32,119,105,116,104,32,110,111,32,107,110,111,119,110,32,112, - 97,114,101,110,116,32,112,97,99,107,97,103,101,122,61,80, - 97,114,101,110,116,32,109,111,100,117,108,101,32,123,33,114, - 125,32,110,111,116,32,108,111,97,100,101,100,44,32,99,97, - 110,110,111,116,32,112,101,114,102,111,114,109,32,114,101,108, - 97,116,105,118,101,32,105,109,112,111,114,116,122,17,69,109, - 112,116,121,32,109,111,100,117,108,101,32,110,97,109,101,78, - 41,10,218,10,105,115,105,110,115,116,97,110,99,101,218,3, - 115,116,114,218,9,84,121,112,101,69,114,114,111,114,114,38, - 0,0,0,114,13,0,0,0,114,160,0,0,0,114,70,0, - 0,0,114,14,0,0,0,114,79,0,0,0,218,11,83,121, - 115,116,101,109,69,114,114,111,114,41,4,114,15,0,0,0, - 114,161,0,0,0,114,162,0,0,0,114,139,0,0,0,114, - 10,0,0,0,114,10,0,0,0,114,11,0,0,0,218,13, - 95,115,97,110,105,116,121,95,99,104,101,99,107,140,3,0, - 0,115,28,0,0,0,0,2,10,1,18,1,8,1,8,1, - 8,1,10,1,10,1,4,1,10,2,10,1,4,2,14,1, - 14,1,114,175,0,0,0,122,16,78,111,32,109,111,100,117, - 108,101,32,110,97,109,101,100,32,122,4,123,33,114,125,99, - 2,0,0,0,0,0,0,0,8,0,0,0,12,0,0,0, - 67,0,0,0,115,224,0,0,0,100,0,125,2,124,0,106, - 0,100,1,131,1,100,2,25,0,125,3,124,3,114,136,124, - 3,116,1,106,2,107,7,114,42,116,3,124,1,124,3,131, - 2,1,0,124,0,116,1,106,2,107,6,114,62,116,1,106, - 2,124,0,25,0,83,0,116,1,106,2,124,3,25,0,125, - 4,121,10,124,4,106,4,125,2,87,0,110,52,4,0,116, - 5,107,10,114,134,1,0,1,0,1,0,116,6,100,3,23, - 0,106,7,124,0,124,3,131,2,125,5,116,8,124,5,100, - 4,124,0,144,1,131,1,100,0,130,2,89,0,110,2,88, - 0,116,9,124,0,124,2,131,2,125,6,124,6,100,0,107, - 8,114,176,116,8,116,6,106,7,124,0,131,1,100,4,124, - 0,144,1,131,1,130,1,110,8,116,10,124,6,131,1,125, - 7,124,3,114,220,116,1,106,2,124,3,25,0,125,4,116, - 11,124,4,124,0,106,0,100,1,131,1,100,5,25,0,124, - 7,131,3,1,0,124,7,83,0,41,6,78,114,117,0,0, - 0,114,19,0,0,0,122,23,59,32,123,33,114,125,32,105, - 115,32,110,111,116,32,97,32,112,97,99,107,97,103,101,114, - 15,0,0,0,233,2,0,0,0,41,12,114,118,0,0,0, - 114,14,0,0,0,114,79,0,0,0,114,58,0,0,0,114, - 127,0,0,0,114,90,0,0,0,218,8,95,69,82,82,95, - 77,83,71,114,38,0,0,0,218,19,77,111,100,117,108,101, - 78,111,116,70,111,117,110,100,69,114,114,111,114,114,170,0, - 0,0,114,141,0,0,0,114,5,0,0,0,41,8,114,15, - 0,0,0,218,7,105,109,112,111,114,116,95,114,144,0,0, - 0,114,119,0,0,0,90,13,112,97,114,101,110,116,95,109, - 111,100,117,108,101,114,139,0,0,0,114,82,0,0,0,114, - 83,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11, - 0,0,0,218,23,95,102,105,110,100,95,97,110,100,95,108, - 111,97,100,95,117,110,108,111,99,107,101,100,163,3,0,0, - 115,42,0,0,0,0,1,4,1,14,1,4,1,10,1,10, - 2,10,1,10,1,10,1,2,1,10,1,14,1,16,1,22, - 1,10,1,8,1,22,2,8,1,4,2,10,1,22,1,114, - 180,0,0,0,99,2,0,0,0,0,0,0,0,2,0,0, - 0,10,0,0,0,67,0,0,0,115,30,0,0,0,116,0, - 124,0,131,1,143,12,1,0,116,1,124,0,124,1,131,2, - 83,0,81,0,82,0,88,0,100,1,83,0,41,2,122,54, - 70,105,110,100,32,97,110,100,32,108,111,97,100,32,116,104, - 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, - 32,108,111,99,107,46,78,41,2,114,42,0,0,0,114,180, - 0,0,0,41,2,114,15,0,0,0,114,179,0,0,0,114, - 10,0,0,0,114,10,0,0,0,114,11,0,0,0,218,14, - 95,102,105,110,100,95,97,110,100,95,108,111,97,100,190,3, - 0,0,115,4,0,0,0,0,2,10,1,114,181,0,0,0, - 114,19,0,0,0,99,3,0,0,0,0,0,0,0,5,0, - 0,0,4,0,0,0,67,0,0,0,115,122,0,0,0,116, - 0,124,0,124,1,124,2,131,3,1,0,124,2,100,1,107, - 4,114,32,116,1,124,0,124,1,124,2,131,3,125,0,116, - 2,106,3,131,0,1,0,124,0,116,4,106,5,107,7,114, - 60,116,6,124,0,116,7,131,2,83,0,116,4,106,5,124, - 0,25,0,125,3,124,3,100,2,107,8,114,110,116,2,106, - 8,131,0,1,0,100,3,106,9,124,0,131,1,125,4,116, - 10,124,4,100,4,124,0,144,1,131,1,130,1,116,11,124, - 0,131,1,1,0,124,3,83,0,41,5,97,50,1,0,0, - 73,109,112,111,114,116,32,97,110,100,32,114,101,116,117,114, - 110,32,116,104,101,32,109,111,100,117,108,101,32,98,97,115, - 101,100,32,111,110,32,105,116,115,32,110,97,109,101,44,32, - 116,104,101,32,112,97,99,107,97,103,101,32,116,104,101,32, - 99,97,108,108,32,105,115,10,32,32,32,32,98,101,105,110, - 103,32,109,97,100,101,32,102,114,111,109,44,32,97,110,100, - 32,116,104,101,32,108,101,118,101,108,32,97,100,106,117,115, - 116,109,101,110,116,46,10,10,32,32,32,32,84,104,105,115, - 32,102,117,110,99,116,105,111,110,32,114,101,112,114,101,115, - 101,110,116,115,32,116,104,101,32,103,114,101,97,116,101,115, - 116,32,99,111,109,109,111,110,32,100,101,110,111,109,105,110, - 97,116,111,114,32,111,102,32,102,117,110,99,116,105,111,110, - 97,108,105,116,121,10,32,32,32,32,98,101,116,119,101,101, - 110,32,105,109,112,111,114,116,95,109,111,100,117,108,101,32, - 97,110,100,32,95,95,105,109,112,111,114,116,95,95,46,32, - 84,104,105,115,32,105,110,99,108,117,100,101,115,32,115,101, - 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, - 32,32,114,19,0,0,0,78,122,40,105,109,112,111,114,116, - 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, - 101,115,114,15,0,0,0,41,12,114,175,0,0,0,114,163, - 0,0,0,114,46,0,0,0,114,137,0,0,0,114,14,0, - 0,0,114,79,0,0,0,114,181,0,0,0,218,11,95,103, - 99,100,95,105,109,112,111,114,116,114,47,0,0,0,114,38, - 0,0,0,114,178,0,0,0,114,56,0,0,0,41,5,114, - 15,0,0,0,114,161,0,0,0,114,162,0,0,0,114,83, - 0,0,0,114,67,0,0,0,114,10,0,0,0,114,10,0, - 0,0,114,11,0,0,0,114,182,0,0,0,196,3,0,0, - 115,28,0,0,0,0,9,12,1,8,1,12,1,8,1,10, - 1,10,1,10,1,8,1,8,1,4,1,6,1,14,1,8, - 1,114,182,0,0,0,99,3,0,0,0,0,0,0,0,6, - 0,0,0,17,0,0,0,67,0,0,0,115,164,0,0,0, - 116,0,124,0,100,1,131,2,114,160,100,2,124,1,107,6, - 114,58,116,1,124,1,131,1,125,1,124,1,106,2,100,2, - 131,1,1,0,116,0,124,0,100,3,131,2,114,58,124,1, - 106,3,124,0,106,4,131,1,1,0,120,100,124,1,68,0, - 93,92,125,3,116,0,124,0,124,3,131,2,115,64,100,4, - 106,5,124,0,106,6,124,3,131,2,125,4,121,14,116,7, - 124,2,124,4,131,2,1,0,87,0,113,64,4,0,116,8, - 107,10,114,154,1,0,125,5,1,0,122,20,124,5,106,9, - 124,4,107,2,114,136,119,64,130,0,87,0,89,0,100,5, - 100,5,125,5,126,5,88,0,113,64,88,0,113,64,87,0, - 124,0,83,0,41,6,122,238,70,105,103,117,114,101,32,111, - 117,116,32,119,104,97,116,32,95,95,105,109,112,111,114,116, - 95,95,32,115,104,111,117,108,100,32,114,101,116,117,114,110, - 46,10,10,32,32,32,32,84,104,101,32,105,109,112,111,114, - 116,95,32,112,97,114,97,109,101,116,101,114,32,105,115,32, - 97,32,99,97,108,108,97,98,108,101,32,119,104,105,99,104, - 32,116,97,107,101,115,32,116,104,101,32,110,97,109,101,32, - 111,102,32,109,111,100,117,108,101,32,116,111,10,32,32,32, - 32,105,109,112,111,114,116,46,32,73,116,32,105,115,32,114, - 101,113,117,105,114,101,100,32,116,111,32,100,101,99,111,117, - 112,108,101,32,116,104,101,32,102,117,110,99,116,105,111,110, - 32,102,114,111,109,32,97,115,115,117,109,105,110,103,32,105, - 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, - 10,10,32,32,32,32,114,127,0,0,0,250,1,42,218,7, - 95,95,97,108,108,95,95,122,5,123,125,46,123,125,78,41, - 10,114,4,0,0,0,114,126,0,0,0,218,6,114,101,109, - 111,118,101,218,6,101,120,116,101,110,100,114,184,0,0,0, - 114,38,0,0,0,114,1,0,0,0,114,58,0,0,0,114, - 178,0,0,0,114,15,0,0,0,41,6,114,83,0,0,0, - 218,8,102,114,111,109,108,105,115,116,114,179,0,0,0,218, - 1,120,90,9,102,114,111,109,95,110,97,109,101,90,3,101, - 120,99,114,10,0,0,0,114,10,0,0,0,114,11,0,0, - 0,218,16,95,104,97,110,100,108,101,95,102,114,111,109,108, - 105,115,116,221,3,0,0,115,32,0,0,0,0,10,10,1, - 8,1,8,1,10,1,10,1,12,1,10,1,10,1,14,1, - 2,1,14,1,16,4,10,1,2,1,24,1,114,189,0,0, - 0,99,1,0,0,0,0,0,0,0,3,0,0,0,6,0, - 0,0,67,0,0,0,115,154,0,0,0,124,0,106,0,100, - 1,131,1,125,1,124,0,106,0,100,2,131,1,125,2,124, - 1,100,3,107,9,114,86,124,2,100,3,107,9,114,80,124, - 1,124,2,106,1,107,3,114,80,116,2,106,3,100,4,124, - 1,155,2,100,5,124,2,106,1,155,2,100,6,157,5,116, - 4,100,7,100,8,144,1,131,2,1,0,124,1,83,0,110, - 64,124,2,100,3,107,9,114,102,124,2,106,1,83,0,110, - 48,116,2,106,3,100,9,116,4,100,7,100,8,144,1,131, - 2,1,0,124,0,100,10,25,0,125,1,100,11,124,0,107, - 7,114,150,124,1,106,5,100,12,131,1,100,13,25,0,125, - 1,124,1,83,0,41,14,122,167,67,97,108,99,117,108,97, - 116,101,32,119,104,97,116,32,95,95,112,97,99,107,97,103, - 101,95,95,32,115,104,111,117,108,100,32,98,101,46,10,10, - 32,32,32,32,95,95,112,97,99,107,97,103,101,95,95,32, - 105,115,32,110,111,116,32,103,117,97,114,97,110,116,101,101, - 100,32,116,111,32,98,101,32,100,101,102,105,110,101,100,32, - 111,114,32,99,111,117,108,100,32,98,101,32,115,101,116,32, - 116,111,32,78,111,110,101,10,32,32,32,32,116,111,32,114, - 101,112,114,101,115,101,110,116,32,116,104,97,116,32,105,116, - 115,32,112,114,111,112,101,114,32,118,97,108,117,101,32,105, - 115,32,117,110,107,110,111,119,110,46,10,10,32,32,32,32, - 114,130,0,0,0,114,89,0,0,0,78,122,32,95,95,112, - 97,99,107,97,103,101,95,95,32,33,61,32,95,95,115,112, - 101,99,95,95,46,112,97,114,101,110,116,32,40,122,4,32, - 33,61,32,250,1,41,90,10,115,116,97,99,107,108,101,118, - 101,108,233,3,0,0,0,122,89,99,97,110,39,116,32,114, - 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, - 95,95,114,1,0,0,0,114,127,0,0,0,114,117,0,0, - 0,114,19,0,0,0,41,6,114,30,0,0,0,114,119,0, - 0,0,114,167,0,0,0,114,168,0,0,0,114,169,0,0, - 0,114,118,0,0,0,41,3,218,7,103,108,111,98,97,108, - 115,114,161,0,0,0,114,82,0,0,0,114,10,0,0,0, - 114,10,0,0,0,114,11,0,0,0,218,17,95,99,97,108, - 99,95,95,95,112,97,99,107,97,103,101,95,95,252,3,0, - 0,115,30,0,0,0,0,7,10,1,10,1,8,1,18,1, - 22,2,12,1,6,1,8,1,8,2,6,2,12,1,8,1, - 8,1,14,1,114,193,0,0,0,99,5,0,0,0,0,0, - 0,0,9,0,0,0,5,0,0,0,67,0,0,0,115,170, - 0,0,0,124,4,100,1,107,2,114,18,116,0,124,0,131, - 1,125,5,110,36,124,1,100,2,107,9,114,30,124,1,110, - 2,105,0,125,6,116,1,124,6,131,1,125,7,116,0,124, - 0,124,7,124,4,131,3,125,5,124,3,115,154,124,4,100, - 1,107,2,114,86,116,0,124,0,106,2,100,3,131,1,100, - 1,25,0,131,1,83,0,113,166,124,0,115,96,124,5,83, - 0,113,166,116,3,124,0,131,1,116,3,124,0,106,2,100, - 3,131,1,100,1,25,0,131,1,24,0,125,8,116,4,106, - 5,124,5,106,6,100,2,116,3,124,5,106,6,131,1,124, - 8,24,0,133,2,25,0,25,0,83,0,110,12,116,7,124, - 5,124,3,116,0,131,3,83,0,100,2,83,0,41,4,97, - 215,1,0,0,73,109,112,111,114,116,32,97,32,109,111,100, - 117,108,101,46,10,10,32,32,32,32,84,104,101,32,39,103, - 108,111,98,97,108,115,39,32,97,114,103,117,109,101,110,116, - 32,105,115,32,117,115,101,100,32,116,111,32,105,110,102,101, - 114,32,119,104,101,114,101,32,116,104,101,32,105,109,112,111, - 114,116,32,105,115,32,111,99,99,117,114,114,105,110,103,32, - 102,114,111,109,10,32,32,32,32,116,111,32,104,97,110,100, - 108,101,32,114,101,108,97,116,105,118,101,32,105,109,112,111, - 114,116,115,46,32,84,104,101,32,39,108,111,99,97,108,115, - 39,32,97,114,103,117,109,101,110,116,32,105,115,32,105,103, - 110,111,114,101,100,46,32,84,104,101,10,32,32,32,32,39, - 102,114,111,109,108,105,115,116,39,32,97,114,103,117,109,101, - 110,116,32,115,112,101,99,105,102,105,101,115,32,119,104,97, - 116,32,115,104,111,117,108,100,32,101,120,105,115,116,32,97, - 115,32,97,116,116,114,105,98,117,116,101,115,32,111,110,32, - 116,104,101,32,109,111,100,117,108,101,10,32,32,32,32,98, - 101,105,110,103,32,105,109,112,111,114,116,101,100,32,40,101, - 46,103,46,32,96,96,102,114,111,109,32,109,111,100,117,108, - 101,32,105,109,112,111,114,116,32,60,102,114,111,109,108,105, - 115,116,62,96,96,41,46,32,32,84,104,101,32,39,108,101, - 118,101,108,39,10,32,32,32,32,97,114,103,117,109,101,110, - 116,32,114,101,112,114,101,115,101,110,116,115,32,116,104,101, - 32,112,97,99,107,97,103,101,32,108,111,99,97,116,105,111, - 110,32,116,111,32,105,109,112,111,114,116,32,102,114,111,109, - 32,105,110,32,97,32,114,101,108,97,116,105,118,101,10,32, - 32,32,32,105,109,112,111,114,116,32,40,101,46,103,46,32, - 96,96,102,114,111,109,32,46,46,112,107,103,32,105,109,112, - 111,114,116,32,109,111,100,96,96,32,119,111,117,108,100,32, - 104,97,118,101,32,97,32,39,108,101,118,101,108,39,32,111, - 102,32,50,41,46,10,10,32,32,32,32,114,19,0,0,0, - 78,114,117,0,0,0,41,8,114,182,0,0,0,114,193,0, - 0,0,218,9,112,97,114,116,105,116,105,111,110,114,159,0, - 0,0,114,14,0,0,0,114,79,0,0,0,114,1,0,0, - 0,114,189,0,0,0,41,9,114,15,0,0,0,114,192,0, - 0,0,218,6,108,111,99,97,108,115,114,187,0,0,0,114, - 162,0,0,0,114,83,0,0,0,90,8,103,108,111,98,97, - 108,115,95,114,161,0,0,0,90,7,99,117,116,95,111,102, - 102,114,10,0,0,0,114,10,0,0,0,114,11,0,0,0, - 218,10,95,95,105,109,112,111,114,116,95,95,23,4,0,0, - 115,26,0,0,0,0,11,8,1,10,2,16,1,8,1,12, - 1,4,3,8,1,20,1,4,1,6,4,26,3,32,2,114, - 196,0,0,0,99,1,0,0,0,0,0,0,0,2,0,0, - 0,3,0,0,0,67,0,0,0,115,38,0,0,0,116,0, - 106,1,124,0,131,1,125,1,124,1,100,0,107,8,114,30, - 116,2,100,1,124,0,23,0,131,1,130,1,116,3,124,1, - 131,1,83,0,41,2,78,122,25,110,111,32,98,117,105,108, - 116,45,105,110,32,109,111,100,117,108,101,32,110,97,109,101, - 100,32,41,4,114,142,0,0,0,114,146,0,0,0,114,70, - 0,0,0,114,141,0,0,0,41,2,114,15,0,0,0,114, - 82,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11, - 0,0,0,218,18,95,98,117,105,108,116,105,110,95,102,114, - 111,109,95,110,97,109,101,58,4,0,0,115,8,0,0,0, - 0,1,10,1,8,1,12,1,114,197,0,0,0,99,2,0, - 0,0,0,0,0,0,12,0,0,0,12,0,0,0,67,0, - 0,0,115,244,0,0,0,124,1,97,0,124,0,97,1,116, - 2,116,1,131,1,125,2,120,86,116,1,106,3,106,4,131, - 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103,32,116,104,101,109,10,32,32,32,32,105,110,116,111,32, - 116,104,101,32,103,108,111,98,97,108,32,110,97,109,101,115, - 112,97,99,101,46,10,10,32,32,32,32,65,115,32,115,121, - 115,32,105,115,32,110,101,101,100,101,100,32,102,111,114,32, - 115,121,115,46,109,111,100,117,108,101,115,32,97,99,99,101, - 115,115,32,97,110,100,32,95,105,109,112,32,105,115,32,110, - 101,101,100,101,100,32,116,111,32,108,111,97,100,32,98,117, - 105,108,116,45,105,110,10,32,32,32,32,109,111,100,117,108, - 101,115,44,32,116,104,111,115,101,32,116,119,111,32,109,111, - 100,117,108,101,115,32,109,117,115,116,32,98,101,32,101,120, - 112,108,105,99,105,116,108,121,32,112,97,115,115,101,100,32, - 105,110,46,10,10,32,32,32,32,114,167,0,0,0,114,20, - 0,0,0,78,114,55,0,0,0,41,1,122,9,95,119,97, - 114,110,105,110,103,115,41,16,114,46,0,0,0,114,14,0, - 0,0,114,13,0,0,0,114,79,0,0,0,218,5,105,116, - 101,109,115,114,171,0,0,0,114,69,0,0,0,114,142,0, - 0,0,114,75,0,0,0,114,152,0,0,0,114,128,0,0, - 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0,0,0,114,82,0,0,0,114,10,0,0,0,114,10,0, + 0,0,114,11,0,0,0,218,18,95,98,117,105,108,116,105, + 110,95,102,114,111,109,95,110,97,109,101,58,4,0,0,115, + 8,0,0,0,0,1,10,1,8,1,12,1,114,197,0,0, + 0,99,2,0,0,0,0,0,0,0,12,0,0,0,12,0, + 0,0,67,0,0,0,115,244,0,0,0,124,1,97,0,124, + 0,97,1,116,2,116,1,131,1,125,2,120,86,116,1,106, + 3,106,4,131,0,68,0,93,72,92,2,125,3,125,4,116, + 5,124,4,124,2,131,2,114,28,124,3,116,1,106,6,107, + 6,114,62,116,7,125,5,110,18,116,0,106,8,124,3,131, + 1,114,28,116,9,125,5,110,2,113,28,116,10,124,4,124, + 5,131,2,125,6,116,11,124,6,124,4,131,2,1,0,113, + 28,87,0,116,1,106,3,116,12,25,0,125,7,120,54,100, + 5,68,0,93,46,125,8,124,8,116,1,106,3,107,7,114, + 144,116,13,124,8,131,1,125,9,110,10,116,1,106,3,124, + 8,25,0,125,9,116,14,124,7,124,8,124,9,131,3,1, + 0,113,120,87,0,121,12,116,13,100,2,131,1,125,10,87, + 0,110,24,4,0,116,15,107,10,114,206,1,0,1,0,1, + 0,100,3,125,10,89,0,110,2,88,0,116,14,124,7,100, + 2,124,10,131,3,1,0,116,13,100,4,131,1,125,11,116, + 14,124,7,100,4,124,11,131,3,1,0,100,3,83,0,41, + 6,122,250,83,101,116,117,112,32,105,109,112,111,114,116,108, + 105,98,32,98,121,32,105,109,112,111,114,116,105,110,103,32, + 110,101,101,100,101,100,32,98,117,105,108,116,45,105,110,32, + 109,111,100,117,108,101,115,32,97,110,100,32,105,110,106,101, + 99,116,105,110,103,32,116,104,101,109,10,32,32,32,32,105, + 110,116,111,32,116,104,101,32,103,108,111,98,97,108,32,110, + 97,109,101,115,112,97,99,101,46,10,10,32,32,32,32,65, + 115,32,115,121,115,32,105,115,32,110,101,101,100,101,100,32, + 102,111,114,32,115,121,115,46,109,111,100,117,108,101,115,32, + 97,99,99,101,115,115,32,97,110,100,32,95,105,109,112,32, + 105,115,32,110,101,101,100,101,100,32,116,111,32,108,111,97, + 100,32,98,117,105,108,116,45,105,110,10,32,32,32,32,109, + 111,100,117,108,101,115,44,32,116,104,111,115,101,32,116,119, + 111,32,109,111,100,117,108,101,115,32,109,117,115,116,32,98, + 101,32,101,120,112,108,105,99,105,116,108,121,32,112,97,115, + 115,101,100,32,105,110,46,10,10,32,32,32,32,114,167,0, + 0,0,114,20,0,0,0,78,114,55,0,0,0,41,1,122, + 9,95,119,97,114,110,105,110,103,115,41,16,114,46,0,0, + 0,114,14,0,0,0,114,13,0,0,0,114,79,0,0,0, + 218,5,105,116,101,109,115,114,171,0,0,0,114,69,0,0, + 0,114,142,0,0,0,114,75,0,0,0,114,152,0,0,0, + 114,128,0,0,0,114,133,0,0,0,114,1,0,0,0,114, + 197,0,0,0,114,5,0,0,0,114,70,0,0,0,41,12, + 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, + 101,95,116,121,112,101,114,15,0,0,0,114,83,0,0,0, + 114,93,0,0,0,114,82,0,0,0,90,11,115,101,108,102, + 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, + 0,0,0,218,6,95,115,101,116,117,112,65,4,0,0,115, + 50,0,0,0,0,9,4,1,4,3,8,1,20,1,10,1, + 10,1,6,1,10,1,6,2,2,1,10,1,14,3,10,1, + 10,1,10,1,10,2,10,1,16,3,2,1,12,1,14,2, + 10,1,12,3,8,1,114,201,0,0,0,99,2,0,0,0, + 0,0,0,0,3,0,0,0,3,0,0,0,67,0,0,0, + 115,66,0,0,0,116,0,124,0,124,1,131,2,1,0,116, + 1,106,2,106,3,116,4,131,1,1,0,116,1,106,2,106, + 3,116,5,131,1,1,0,100,1,100,2,108,6,125,2,124, + 2,97,7,124,2,106,8,116,1,106,9,116,10,25,0,131, + 1,1,0,100,2,83,0,41,3,122,50,73,110,115,116,97, + 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, + 111,110,32,111,102,32,105,109,112,111,114,116,46,114,19,0, + 0,0,78,41,11,114,201,0,0,0,114,14,0,0,0,114, + 166,0,0,0,114,109,0,0,0,114,142,0,0,0,114,152, + 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, + 115,0,0,0,218,8,95,105,110,115,116,97,108,108,114,79, + 0,0,0,114,1,0,0,0,41,3,114,199,0,0,0,114, + 200,0,0,0,114,202,0,0,0,114,10,0,0,0,114,10, + 0,0,0,114,11,0,0,0,114,203,0,0,0,112,4,0, + 0,115,12,0,0,0,0,2,10,2,12,1,12,3,8,1, + 4,1,114,203,0,0,0,41,2,78,78,41,1,78,41,2, + 78,114,19,0,0,0,41,50,114,3,0,0,0,114,115,0, + 0,0,114,12,0,0,0,114,16,0,0,0,114,51,0,0, + 0,114,29,0,0,0,114,36,0,0,0,114,17,0,0,0, + 114,18,0,0,0,114,41,0,0,0,114,42,0,0,0,114, + 45,0,0,0,114,56,0,0,0,114,58,0,0,0,114,68, + 0,0,0,114,74,0,0,0,114,77,0,0,0,114,84,0, + 0,0,114,95,0,0,0,114,96,0,0,0,114,102,0,0, + 0,114,78,0,0,0,218,6,111,98,106,101,99,116,90,9, + 95,80,79,80,85,76,65,84,69,114,128,0,0,0,114,133, + 0,0,0,114,136,0,0,0,114,91,0,0,0,114,80,0, + 0,0,114,140,0,0,0,114,141,0,0,0,114,81,0,0, + 0,114,142,0,0,0,114,152,0,0,0,114,157,0,0,0, + 114,163,0,0,0,114,165,0,0,0,114,170,0,0,0,114, + 175,0,0,0,90,15,95,69,82,82,95,77,83,71,95,80, + 82,69,70,73,88,114,177,0,0,0,114,180,0,0,0,114, + 181,0,0,0,114,182,0,0,0,114,189,0,0,0,114,193, + 0,0,0,114,196,0,0,0,114,197,0,0,0,114,201,0, + 0,0,114,203,0,0,0,114,10,0,0,0,114,10,0,0, + 0,114,10,0,0,0,114,11,0,0,0,218,8,60,109,111, + 100,117,108,101,62,8,0,0,0,115,94,0,0,0,4,17, + 4,2,8,8,8,7,4,2,4,3,16,4,14,68,14,21, + 14,19,8,19,8,19,8,11,14,8,8,11,8,12,8,16, + 8,36,14,27,14,101,16,26,6,3,10,45,14,60,8,17, + 8,17,8,25,8,29,8,23,8,16,14,73,14,77,14,13, + 8,9,8,9,10,47,8,20,4,1,8,2,8,27,8,6, + 10,25,8,31,8,27,18,35,8,7,8,47, }; diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 7ffb25ede8..f2bcb287d6 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -139,16 +139,16 @@ const unsigned char _Py_M__importlib_external[] = { 114,4,0,0,0,114,6,0,0,0,218,10,95,112,97,116, 104,95,106,111,105,110,57,0,0,0,115,4,0,0,0,0, 2,10,1,114,30,0,0,0,99,1,0,0,0,0,0,0, - 0,5,0,0,0,5,0,0,0,67,0,0,0,115,98,0, + 0,5,0,0,0,5,0,0,0,67,0,0,0,115,96,0, 0,0,116,0,116,1,131,1,100,1,107,2,114,36,124,0, 106,2,116,3,131,1,92,3,125,1,125,2,125,3,124,1, - 124,3,102,2,83,0,120,52,116,4,124,0,131,1,68,0, - 93,40,125,4,124,4,116,1,107,6,114,46,124,0,106,5, - 124,4,100,2,100,1,144,1,131,1,92,2,125,1,125,3, - 124,1,124,3,102,2,83,0,113,46,87,0,100,3,124,0, - 102,2,83,0,41,4,122,32,82,101,112,108,97,99,101,109, - 101,110,116,32,102,111,114,32,111,115,46,112,97,116,104,46, - 115,112,108,105,116,40,41,46,233,1,0,0,0,90,8,109, + 124,3,102,2,83,0,120,50,116,4,124,0,131,1,68,0, + 93,38,125,4,124,4,116,1,107,6,114,46,124,0,106,5, + 124,4,100,1,100,2,141,2,92,2,125,1,125,3,124,1, + 124,3,102,2,83,0,113,46,87,0,100,3,124,0,102,2, + 83,0,41,4,122,32,82,101,112,108,97,99,101,109,101,110, + 116,32,102,111,114,32,111,115,46,112,97,116,104,46,115,112, + 108,105,116,40,41,46,233,1,0,0,0,41,1,90,8,109, 97,120,115,112,108,105,116,218,0,41,6,218,3,108,101,110, 114,23,0,0,0,218,10,114,112,97,114,116,105,116,105,111, 110,114,27,0,0,0,218,8,114,101,118,101,114,115,101,100, @@ -157,7 +157,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,18,0,0,0,114,4,0,0,0,114,4,0,0,0,114, 6,0,0,0,218,11,95,112,97,116,104,95,115,112,108,105, 116,63,0,0,0,115,16,0,0,0,0,2,12,1,16,1, - 8,1,14,1,8,1,20,1,12,1,114,40,0,0,0,99, + 8,1,14,1,8,1,18,1,12,1,114,40,0,0,0,99, 1,0,0,0,0,0,0,0,1,0,0,0,2,0,0,0, 67,0,0,0,115,10,0,0,0,116,0,106,1,124,0,131, 1,83,0,41,1,122,126,83,116,97,116,32,116,104,101,32, @@ -242,7 +242,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,95,97,116,111,109,105,99,106,0,0,0,115,26,0,0, 0,0,5,16,1,6,1,26,1,2,3,14,1,20,1,16, 1,14,1,2,1,14,1,14,1,6,1,114,58,0,0,0, - 105,47,13,0,0,233,2,0,0,0,114,15,0,0,0,115, + 105,48,13,0,0,233,2,0,0,0,114,15,0,0,0,115, 2,0,0,0,13,10,90,11,95,95,112,121,99,97,99,104, 101,95,95,122,4,111,112,116,45,122,3,46,112,121,122,4, 46,112,121,99,78,41,1,218,12,111,112,116,105,109,105,122, @@ -346,7 +346,7 @@ const unsigned char _Py_M__importlib_external[] = { 103,90,15,97,108,109,111,115,116,95,102,105,108,101,110,97, 109,101,114,4,0,0,0,114,4,0,0,0,114,6,0,0, 0,218,17,99,97,99,104,101,95,102,114,111,109,95,115,111, - 117,114,99,101,3,1,0,0,115,48,0,0,0,0,18,8, + 117,114,99,101,4,1,0,0,115,48,0,0,0,0,18,8, 1,6,1,6,1,8,1,4,1,8,1,12,1,10,1,12, 1,16,1,8,1,8,1,8,1,24,1,8,1,12,1,6, 2,8,1,8,1,8,1,8,1,14,1,14,1,114,83,0, @@ -420,7 +420,7 @@ const unsigned char _Py_M__importlib_external[] = { 112,116,95,108,101,118,101,108,90,13,98,97,115,101,95,102, 105,108,101,110,97,109,101,114,4,0,0,0,114,4,0,0, 0,114,6,0,0,0,218,17,115,111,117,114,99,101,95,102, - 114,111,109,95,99,97,99,104,101,48,1,0,0,115,46,0, + 114,111,109,95,99,97,99,104,101,49,1,0,0,115,46,0, 0,0,0,9,12,1,8,1,10,1,12,1,12,1,8,1, 6,1,10,1,10,1,8,1,6,1,10,1,8,1,16,1, 10,1,6,1,8,1,16,1,8,1,6,1,8,1,14,1, @@ -456,7 +456,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,105,111,110,218,11,115,111,117,114,99,101,95,112,97,116, 104,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, 218,15,95,103,101,116,95,115,111,117,114,99,101,102,105,108, - 101,82,1,0,0,115,20,0,0,0,0,7,12,1,4,1, + 101,83,1,0,0,115,20,0,0,0,0,7,12,1,4,1, 16,1,26,1,4,1,2,1,12,1,18,1,18,1,114,95, 0,0,0,99,1,0,0,0,0,0,0,0,1,0,0,0, 11,0,0,0,67,0,0,0,115,74,0,0,0,124,0,106, @@ -469,7 +469,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,114,83,0,0,0,114,70,0,0,0,114,78,0,0, 0,41,1,218,8,102,105,108,101,110,97,109,101,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,11,95,103, - 101,116,95,99,97,99,104,101,100,101,1,0,0,115,16,0, + 101,116,95,99,97,99,104,101,100,102,1,0,0,115,16,0, 0,0,0,1,14,1,2,1,8,1,14,1,8,1,14,1, 6,2,114,99,0,0,0,99,1,0,0,0,0,0,0,0, 2,0,0,0,11,0,0,0,67,0,0,0,115,52,0,0, @@ -483,7 +483,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,233,128,0,0,0,41,3,114,41,0,0,0,114,43,0, 0,0,114,42,0,0,0,41,2,114,37,0,0,0,114,44, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,10,95,99,97,108,99,95,109,111,100,101,113,1, + 0,0,218,10,95,99,97,108,99,95,109,111,100,101,114,1, 0,0,115,12,0,0,0,0,2,2,1,14,1,14,1,10, 3,8,1,114,101,0,0,0,99,1,0,0,0,0,0,0, 0,3,0,0,0,11,0,0,0,3,0,0,0,115,68,0, @@ -508,252 +508,253 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 4,0,0,0,5,0,0,0,31,0,0,0,115,64,0,0, + 4,0,0,0,4,0,0,0,31,0,0,0,115,68,0,0, 0,124,1,100,0,107,8,114,16,124,0,106,0,125,1,110, - 34,124,0,106,0,124,1,107,3,114,50,116,1,100,1,124, - 0,106,0,124,1,102,2,22,0,100,2,124,1,144,1,131, - 1,130,1,136,0,124,0,124,1,124,2,124,3,142,2,83, - 0,41,3,78,122,30,108,111,97,100,101,114,32,102,111,114, - 32,37,115,32,99,97,110,110,111,116,32,104,97,110,100,108, - 101,32,37,115,218,4,110,97,109,101,41,2,114,102,0,0, - 0,218,11,73,109,112,111,114,116,69,114,114,111,114,41,4, - 218,4,115,101,108,102,114,102,0,0,0,218,4,97,114,103, - 115,90,6,107,119,97,114,103,115,41,1,218,6,109,101,116, - 104,111,100,114,4,0,0,0,114,6,0,0,0,218,19,95, - 99,104,101,99,107,95,110,97,109,101,95,119,114,97,112,112, - 101,114,133,1,0,0,115,12,0,0,0,0,1,8,1,8, - 1,10,1,4,1,20,1,122,40,95,99,104,101,99,107,95, - 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, - 0,0,83,0,0,0,115,60,0,0,0,120,40,100,5,68, - 0,93,32,125,2,116,0,124,1,124,2,131,2,114,6,116, - 1,124,0,124,2,116,2,124,1,124,2,131,2,131,3,1, - 0,113,6,87,0,124,0,106,3,106,4,124,1,106,3,131, - 1,1,0,100,0,83,0,41,6,78,218,10,95,95,109,111, - 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, - 95,95,100,111,99,95,95,41,4,122,10,95,95,109,111,100, - 117,108,101,95,95,122,8,95,95,110,97,109,101,95,95,122, - 12,95,95,113,117,97,108,110,97,109,101,95,95,122,7,95, - 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, - 100,114,55,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,218,5,95,119,114,97,112,144,1,0,0, - 115,8,0,0,0,0,1,10,1,10,1,22,1,122,26,95, + 32,124,0,106,0,124,1,107,3,114,48,116,1,100,1,124, + 0,106,0,124,1,102,2,22,0,124,1,100,2,141,2,130, + 1,136,0,124,0,124,1,102,2,124,2,152,2,124,3,151, + 1,142,1,83,0,41,3,78,122,30,108,111,97,100,101,114, + 32,102,111,114,32,37,115,32,99,97,110,110,111,116,32,104, + 97,110,100,108,101,32,37,115,41,1,218,4,110,97,109,101, + 41,2,114,102,0,0,0,218,11,73,109,112,111,114,116,69, + 114,114,111,114,41,4,218,4,115,101,108,102,114,102,0,0, + 0,218,4,97,114,103,115,90,6,107,119,97,114,103,115,41, + 1,218,6,109,101,116,104,111,100,114,4,0,0,0,114,6, + 0,0,0,218,19,95,99,104,101,99,107,95,110,97,109,101, + 95,119,114,97,112,112,101,114,134,1,0,0,115,12,0,0, + 0,0,1,8,1,8,1,10,1,4,1,18,1,122,40,95, 99,104,101,99,107,95,110,97,109,101,46,60,108,111,99,97, - 108,115,62,46,95,119,114,97,112,41,1,78,41,3,218,10, - 95,98,111,111,116,115,116,114,97,112,114,117,0,0,0,218, - 9,78,97,109,101,69,114,114,111,114,41,3,114,106,0,0, - 0,114,107,0,0,0,114,117,0,0,0,114,4,0,0,0, - 41,1,114,106,0,0,0,114,6,0,0,0,218,11,95,99, - 104,101,99,107,95,110,97,109,101,125,1,0,0,115,14,0, - 0,0,0,8,14,7,2,1,10,1,14,2,14,5,10,1, - 114,120,0,0,0,99,2,0,0,0,0,0,0,0,5,0, - 0,0,4,0,0,0,67,0,0,0,115,60,0,0,0,124, - 0,106,0,124,1,131,1,92,2,125,2,125,3,124,2,100, - 1,107,8,114,56,116,1,124,3,131,1,114,56,100,2,125, - 4,116,2,106,3,124,4,106,4,124,3,100,3,25,0,131, - 1,116,5,131,2,1,0,124,2,83,0,41,4,122,155,84, - 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, - 32,95,95,105,110,105,116,95,95,114,62,0,0,0,41,6, - 218,11,102,105,110,100,95,108,111,97,100,101,114,114,33,0, - 0,0,114,63,0,0,0,114,64,0,0,0,114,50,0,0, - 0,218,13,73,109,112,111,114,116,87,97,114,110,105,110,103, - 41,5,114,104,0,0,0,218,8,102,117,108,108,110,97,109, - 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, - 0,0,114,6,0,0,0,218,17,95,102,105,110,100,95,109, - 111,100,117,108,101,95,115,104,105,109,153,1,0,0,115,10, - 0,0,0,0,10,14,1,16,1,4,1,22,1,114,127,0, - 0,0,99,4,0,0,0,0,0,0,0,11,0,0,0,19, - 0,0,0,67,0,0,0,115,128,1,0,0,105,0,125,4, - 124,2,100,1,107,9,114,22,124,2,124,4,100,2,60,0, - 110,4,100,3,125,2,124,3,100,1,107,9,114,42,124,3, - 124,4,100,4,60,0,124,0,100,1,100,5,133,2,25,0, - 125,5,124,0,100,5,100,6,133,2,25,0,125,6,124,0, - 100,6,100,7,133,2,25,0,125,7,124,5,116,0,107,3, - 114,122,100,8,106,1,124,2,124,5,131,2,125,8,116,2, - 106,3,100,9,124,8,131,2,1,0,116,4,124,8,124,4, - 141,1,130,1,110,86,116,5,124,6,131,1,100,5,107,3, - 114,166,100,10,106,1,124,2,131,1,125,8,116,2,106,3, - 100,9,124,8,131,2,1,0,116,6,124,8,131,1,130,1, - 110,42,116,5,124,7,131,1,100,5,107,3,114,208,100,11, - 106,1,124,2,131,1,125,8,116,2,106,3,100,9,124,8, - 131,2,1,0,116,6,124,8,131,1,130,1,124,1,100,1, - 107,9,144,1,114,116,121,16,116,7,124,1,100,12,25,0, - 131,1,125,9,87,0,110,20,4,0,116,8,107,10,114,254, - 1,0,1,0,1,0,89,0,110,48,88,0,116,9,124,6, - 131,1,124,9,107,3,144,1,114,46,100,13,106,1,124,2, - 131,1,125,8,116,2,106,3,100,9,124,8,131,2,1,0, - 116,4,124,8,124,4,141,1,130,1,121,16,124,1,100,14, + 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, + 3,0,0,0,7,0,0,0,83,0,0,0,115,60,0,0, + 0,120,40,100,5,68,0,93,32,125,2,116,0,124,1,124, + 2,131,2,114,6,116,1,124,0,124,2,116,2,124,1,124, + 2,131,2,131,3,1,0,113,6,87,0,124,0,106,3,106, + 4,124,1,106,3,131,1,1,0,100,0,83,0,41,6,78, + 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, + 109,101,95,95,218,7,95,95,100,111,99,95,95,41,4,122, + 10,95,95,109,111,100,117,108,101,95,95,122,8,95,95,110, + 97,109,101,95,95,122,12,95,95,113,117,97,108,110,97,109, + 101,95,95,122,7,95,95,100,111,99,95,95,41,5,218,7, + 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, + 101,119,90,3,111,108,100,114,55,0,0,0,114,4,0,0, + 0,114,4,0,0,0,114,6,0,0,0,218,5,95,119,114, + 97,112,145,1,0,0,115,8,0,0,0,0,1,10,1,10, 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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, + 62,0,0,0,41,6,218,11,102,105,110,100,95,108,111,97, + 100,101,114,114,33,0,0,0,114,63,0,0,0,114,64,0, + 0,0,114,50,0,0,0,218,13,73,109,112,111,114,116,87, + 97,114,110,105,110,103,41,5,114,104,0,0,0,218,8,102, + 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, + 0,0,0,114,4,0,0,0,114,6,0,0,0,218,17,95, + 102,105,110,100,95,109,111,100,117,108,101,95,115,104,105,109, + 154,1,0,0,115,10,0,0,0,0,10,14,1,16,1,4, + 1,22,1,114,127,0,0,0,99,4,0,0,0,0,0,0, + 0,11,0,0,0,22,0,0,0,67,0,0,0,115,142,1, + 0,0,105,0,125,4,124,2,100,1,107,9,114,22,124,2, + 124,4,100,2,60,0,110,4,100,3,125,2,124,3,100,1, + 107,9,114,42,124,3,124,4,100,4,60,0,124,0,100,1, + 100,5,133,2,25,0,125,5,124,0,100,5,100,6,133,2, + 25,0,125,6,124,0,100,6,100,7,133,2,25,0,125,7, + 124,5,116,0,107,3,114,126,100,8,106,1,124,2,124,5, + 131,2,125,8,116,2,106,3,100,9,124,8,131,2,1,0, + 116,4,124,8,102,1,124,4,151,1,142,1,130,1,110,86, + 116,5,124,6,131,1,100,5,107,3,114,170,100,10,106,1, + 124,2,131,1,125,8,116,2,106,3,100,9,124,8,131,2, + 1,0,116,6,124,8,131,1,130,1,110,42,116,5,124,7, + 131,1,100,5,107,3,114,212,100,11,106,1,124,2,131,1, + 125,8,116,2,106,3,100,9,124,8,131,2,1,0,116,6, + 124,8,131,1,130,1,124,1,100,1,107,9,144,1,114,130, + 121,16,116,7,124,1,100,12,25,0,131,1,125,9,87,0, + 110,22,4,0,116,8,107,10,144,1,114,4,1,0,1,0, + 1,0,89,0,110,52,88,0,116,9,124,6,131,1,124,9, + 107,3,144,1,114,56,100,13,106,1,124,2,131,1,125,8, + 116,2,106,3,100,9,124,8,131,2,1,0,116,4,124,8, + 102,1,124,4,151,1,142,1,130,1,121,16,124,1,100,14, 25,0,100,15,64,0,125,10,87,0,110,22,4,0,116,8, - 107,10,144,1,114,84,1,0,1,0,1,0,89,0,110,32, - 88,0,116,9,124,7,131,1,124,10,107,3,144,1,114,116, - 116,4,100,13,106,1,124,2,131,1,124,4,141,1,130,1, - 124,0,100,7,100,1,133,2,25,0,83,0,41,16,97,122, - 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, - 110,99,97,116,101,100,46,10,10,32,32,32,32,78,114,102, - 0,0,0,122,10,60,98,121,116,101,99,111,100,101,62,114, - 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131,1,125,3,124,3,106,2,116,3,124,1,131,1,131,1, + 1,0,124,3,106,2,116,3,124,2,131,1,131,1,1,0, + 124,3,106,2,116,4,106,5,124,0,131,1,131,1,1,0, + 124,3,83,0,41,1,122,80,67,111,109,112,105,108,101,32, + 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, + 97,114,114,97,121,114,132,0,0,0,218,6,101,120,116,101, + 110,100,114,19,0,0,0,114,140,0,0,0,90,5,100,117, + 109,112,115,41,4,114,144,0,0,0,114,130,0,0,0,114, + 138,0,0,0,114,56,0,0,0,114,4,0,0,0,114,4, + 0,0,0,114,6,0,0,0,218,17,95,99,111,100,101,95, + 116,111,95,98,121,116,101,99,111,100,101,238,1,0,0,115, + 10,0,0,0,0,3,8,1,14,1,14,1,16,1,114,148, + 0,0,0,99,1,0,0,0,0,0,0,0,5,0,0,0, + 4,0,0,0,67,0,0,0,115,62,0,0,0,100,1,100, + 2,108,0,125,1,116,1,106,2,124,0,131,1,106,3,125, + 2,124,1,106,4,124,2,131,1,125,3,116,1,106,5,100, + 2,100,3,131,2,125,4,124,4,106,6,124,0,106,6,124, + 3,100,1,25,0,131,1,131,1,83,0,41,4,122,121,68, + 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, + 110,103,46,10,32,32,32,32,114,62,0,0,0,78,84,41, + 7,218,8,116,111,107,101,110,105,122,101,114,52,0,0,0, + 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, + 101,95,98,121,116,101,115,114,149,0,0,0,90,21,115,111, + 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, + 0,0,0,114,4,0,0,0,114,6,0,0,0,218,13,100, + 101,99,111,100,101,95,115,111,117,114,99,101,248,1,0,0, + 115,10,0,0,0,0,5,8,1,12,1,10,1,12,1,114, + 153,0,0,0,41,2,114,124,0,0,0,218,26,115,117,98, + 109,111,100,117,108,101,95,115,101,97,114,99,104,95,108,111, + 99,97,116,105,111,110,115,99,2,0,0,0,2,0,0,0, + 9,0,0,0,19,0,0,0,67,0,0,0,115,18,1,0, + 0,124,1,100,1,107,8,114,60,100,2,125,1,116,0,124, + 2,100,3,131,2,114,70,121,14,124,2,106,1,124,0,131, + 1,125,1,87,0,113,70,4,0,116,2,107,10,114,56,1, + 0,1,0,1,0,89,0,113,70,88,0,110,10,116,3,106, + 4,124,1,131,1,125,1,116,5,106,6,124,0,124,2,124, + 1,100,4,141,3,125,4,100,5,124,4,95,7,124,2,100, + 1,107,8,114,156,120,54,116,8,131,0,68,0,93,40,92, 2,125,5,125,6,124,1,106,9,116,10,124,6,131,1,131, - 1,114,110,124,5,124,0,124,1,131,2,125,2,124,2,124, - 4,95,11,80,0,113,110,87,0,100,1,83,0,124,3,116, - 12,107,8,114,224,116,0,124,2,100,6,131,2,114,230,121, + 1,114,108,124,5,124,0,124,1,131,2,125,2,124,2,124, + 4,95,11,80,0,113,108,87,0,100,1,83,0,124,3,116, + 12,107,8,114,222,116,0,124,2,100,6,131,2,114,228,121, 14,124,2,106,13,124,0,131,1,125,7,87,0,110,20,4, - 0,116,2,107,10,114,210,1,0,1,0,1,0,89,0,113, - 230,88,0,124,7,114,230,103,0,124,4,95,14,110,6,124, + 0,116,2,107,10,114,208,1,0,1,0,1,0,89,0,113, + 228,88,0,124,7,114,228,103,0,124,4,95,14,110,6,124, 3,124,4,95,14,124,4,106,14,103,0,107,2,144,1,114, - 16,124,1,144,1,114,16,116,15,124,1,131,1,100,7,25, + 14,124,1,144,1,114,14,116,15,124,1,131,1,100,7,25, 0,125,8,124,4,106,14,106,16,124,8,131,1,1,0,124, 4,83,0,41,8,97,61,1,0,0,82,101,116,117,114,110, 32,97,32,109,111,100,117,108,101,32,115,112,101,99,32,98, @@ -777,75 +778,75 @@ const unsigned char _Py_M__importlib_external[] = { 121,32,95,95,105,110,105,116,95,95,40,41,32,97,114,103, 46,10,10,32,32,32,32,78,122,9,60,117,110,107,110,111, 119,110,62,218,12,103,101,116,95,102,105,108,101,110,97,109, - 101,218,6,111,114,105,103,105,110,84,218,10,105,115,95,112, - 97,99,107,97,103,101,114,62,0,0,0,41,17,114,112,0, - 0,0,114,155,0,0,0,114,103,0,0,0,114,3,0,0, - 0,114,67,0,0,0,114,118,0,0,0,218,10,77,111,100, - 117,108,101,83,112,101,99,90,13,95,115,101,116,95,102,105, - 108,101,97,116,116,114,218,27,95,103,101,116,95,115,117,112, - 112,111,114,116,101,100,95,102,105,108,101,95,108,111,97,100, - 101,114,115,114,96,0,0,0,114,97,0,0,0,114,124,0, - 0,0,218,9,95,80,79,80,85,76,65,84,69,114,157,0, - 0,0,114,154,0,0,0,114,40,0,0,0,218,6,97,112, - 112,101,110,100,41,9,114,102,0,0,0,90,8,108,111,99, - 97,116,105,111,110,114,124,0,0,0,114,154,0,0,0,218, - 4,115,112,101,99,218,12,108,111,97,100,101,114,95,99,108, - 97,115,115,218,8,115,117,102,102,105,120,101,115,114,157,0, - 0,0,90,7,100,105,114,110,97,109,101,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,218,23,115,112,101,99, - 95,102,114,111,109,95,102,105,108,101,95,108,111,99,97,116, - 105,111,110,8,2,0,0,115,62,0,0,0,0,12,8,4, - 4,1,10,2,2,1,14,1,14,1,8,2,10,8,18,1, - 6,3,8,1,16,1,14,1,10,1,6,1,6,2,4,3, - 8,2,10,1,2,1,14,1,14,1,6,2,4,1,8,2, - 6,1,12,1,6,1,12,1,12,2,114,165,0,0,0,99, - 0,0,0,0,0,0,0,0,0,0,0,0,4,0,0,0, - 64,0,0,0,115,80,0,0,0,101,0,90,1,100,0,90, - 2,100,1,90,3,100,2,90,4,100,3,90,5,100,4,90, - 6,101,7,100,5,100,6,132,0,131,1,90,8,101,7,100, - 7,100,8,132,0,131,1,90,9,101,7,100,14,100,10,100, - 11,132,1,131,1,90,10,101,7,100,15,100,12,100,13,132, - 1,131,1,90,11,100,9,83,0,41,16,218,21,87,105,110, - 100,111,119,115,82,101,103,105,115,116,114,121,70,105,110,100, - 101,114,122,62,77,101,116,97,32,112,97,116,104,32,102,105, - 110,100,101,114,32,102,111,114,32,109,111,100,117,108,101,115, - 32,100,101,99,108,97,114,101,100,32,105,110,32,116,104,101, - 32,87,105,110,100,111,119,115,32,114,101,103,105,115,116,114, - 121,46,122,59,83,111,102,116,119,97,114,101,92,80,121,116, - 104,111,110,92,80,121,116,104,111,110,67,111,114,101,92,123, - 115,121,115,95,118,101,114,115,105,111,110,125,92,77,111,100, - 117,108,101,115,92,123,102,117,108,108,110,97,109,101,125,122, - 65,83,111,102,116,119,97,114,101,92,80,121,116,104,111,110, - 92,80,121,116,104,111,110,67,111,114,101,92,123,115,121,115, - 95,118,101,114,115,105,111,110,125,92,77,111,100,117,108,101, - 115,92,123,102,117,108,108,110,97,109,101,125,92,68,101,98, - 117,103,70,99,2,0,0,0,0,0,0,0,2,0,0,0, - 11,0,0,0,67,0,0,0,115,50,0,0,0,121,14,116, - 0,106,1,116,0,106,2,124,1,131,2,83,0,4,0,116, - 3,107,10,114,44,1,0,1,0,1,0,116,0,106,1,116, - 0,106,4,124,1,131,2,83,0,88,0,100,0,83,0,41, - 1,78,41,5,218,7,95,119,105,110,114,101,103,90,7,79, - 112,101,110,75,101,121,90,17,72,75,69,89,95,67,85,82, - 82,69,78,84,95,85,83,69,82,114,42,0,0,0,90,18, - 72,75,69,89,95,76,79,67,65,76,95,77,65,67,72,73, - 78,69,41,2,218,3,99,108,115,114,5,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,218,14,95, - 111,112,101,110,95,114,101,103,105,115,116,114,121,88,2,0, - 0,115,8,0,0,0,0,2,2,1,14,1,14,1,122,36, - 87,105,110,100,111,119,115,82,101,103,105,115,116,114,121,70, - 105,110,100,101,114,46,95,111,112,101,110,95,114,101,103,105, - 115,116,114,121,99,2,0,0,0,0,0,0,0,6,0,0, - 0,16,0,0,0,67,0,0,0,115,116,0,0,0,124,0, - 106,0,114,14,124,0,106,1,125,2,110,6,124,0,106,2, - 125,2,124,2,106,3,100,1,124,1,100,2,100,3,116,4, - 106,5,100,0,100,4,133,2,25,0,22,0,144,2,131,0, - 125,3,121,38,124,0,106,6,124,3,131,1,143,18,125,4, - 116,7,106,8,124,4,100,5,131,2,125,5,87,0,100,0, - 81,0,82,0,88,0,87,0,110,20,4,0,116,9,107,10, - 114,110,1,0,1,0,1,0,100,0,83,0,88,0,124,5, - 83,0,41,6,78,114,123,0,0,0,90,11,115,121,115,95, - 118,101,114,115,105,111,110,122,5,37,100,46,37,100,114,59, - 0,0,0,114,32,0,0,0,41,10,218,11,68,69,66,85, + 101,41,1,218,6,111,114,105,103,105,110,84,218,10,105,115, + 95,112,97,99,107,97,103,101,114,62,0,0,0,41,17,114, + 112,0,0,0,114,155,0,0,0,114,103,0,0,0,114,3, + 0,0,0,114,67,0,0,0,114,118,0,0,0,218,10,77, + 111,100,117,108,101,83,112,101,99,90,13,95,115,101,116,95, + 102,105,108,101,97,116,116,114,218,27,95,103,101,116,95,115, + 117,112,112,111,114,116,101,100,95,102,105,108,101,95,108,111, + 97,100,101,114,115,114,96,0,0,0,114,97,0,0,0,114, + 124,0,0,0,218,9,95,80,79,80,85,76,65,84,69,114, + 157,0,0,0,114,154,0,0,0,114,40,0,0,0,218,6, + 97,112,112,101,110,100,41,9,114,102,0,0,0,90,8,108, + 111,99,97,116,105,111,110,114,124,0,0,0,114,154,0,0, + 0,218,4,115,112,101,99,218,12,108,111,97,100,101,114,95, + 99,108,97,115,115,218,8,115,117,102,102,105,120,101,115,114, + 157,0,0,0,90,7,100,105,114,110,97,109,101,114,4,0, + 0,0,114,4,0,0,0,114,6,0,0,0,218,23,115,112, + 101,99,95,102,114,111,109,95,102,105,108,101,95,108,111,99, + 97,116,105,111,110,9,2,0,0,115,62,0,0,0,0,12, + 8,4,4,1,10,2,2,1,14,1,14,1,8,2,10,8, + 16,1,6,3,8,1,16,1,14,1,10,1,6,1,6,2, + 4,3,8,2,10,1,2,1,14,1,14,1,6,2,4,1, + 8,2,6,1,12,1,6,1,12,1,12,2,114,165,0,0, + 0,99,0,0,0,0,0,0,0,0,0,0,0,0,4,0, + 0,0,64,0,0,0,115,80,0,0,0,101,0,90,1,100, + 0,90,2,100,1,90,3,100,2,90,4,100,3,90,5,100, + 4,90,6,101,7,100,5,100,6,132,0,131,1,90,8,101, + 7,100,7,100,8,132,0,131,1,90,9,101,7,100,14,100, + 10,100,11,132,1,131,1,90,10,101,7,100,15,100,12,100, + 13,132,1,131,1,90,11,100,9,83,0,41,16,218,21,87, + 105,110,100,111,119,115,82,101,103,105,115,116,114,121,70,105, + 110,100,101,114,122,62,77,101,116,97,32,112,97,116,104,32, + 102,105,110,100,101,114,32,102,111,114,32,109,111,100,117,108, + 101,115,32,100,101,99,108,97,114,101,100,32,105,110,32,116, + 104,101,32,87,105,110,100,111,119,115,32,114,101,103,105,115, + 116,114,121,46,122,59,83,111,102,116,119,97,114,101,92,80, + 121,116,104,111,110,92,80,121,116,104,111,110,67,111,114,101, + 92,123,115,121,115,95,118,101,114,115,105,111,110,125,92,77, + 111,100,117,108,101,115,92,123,102,117,108,108,110,97,109,101, + 125,122,65,83,111,102,116,119,97,114,101,92,80,121,116,104, + 111,110,92,80,121,116,104,111,110,67,111,114,101,92,123,115, + 121,115,95,118,101,114,115,105,111,110,125,92,77,111,100,117, + 108,101,115,92,123,102,117,108,108,110,97,109,101,125,92,68, + 101,98,117,103,70,99,2,0,0,0,0,0,0,0,2,0, + 0,0,11,0,0,0,67,0,0,0,115,50,0,0,0,121, + 14,116,0,106,1,116,0,106,2,124,1,131,2,83,0,4, + 0,116,3,107,10,114,44,1,0,1,0,1,0,116,0,106, + 1,116,0,106,4,124,1,131,2,83,0,88,0,100,0,83, + 0,41,1,78,41,5,218,7,95,119,105,110,114,101,103,90, + 7,79,112,101,110,75,101,121,90,17,72,75,69,89,95,67, + 85,82,82,69,78,84,95,85,83,69,82,114,42,0,0,0, + 90,18,72,75,69,89,95,76,79,67,65,76,95,77,65,67, + 72,73,78,69,41,2,218,3,99,108,115,114,5,0,0,0, + 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, + 14,95,111,112,101,110,95,114,101,103,105,115,116,114,121,89, + 2,0,0,115,8,0,0,0,0,2,2,1,14,1,14,1, + 122,36,87,105,110,100,111,119,115,82,101,103,105,115,116,114, + 121,70,105,110,100,101,114,46,95,111,112,101,110,95,114,101, + 103,105,115,116,114,121,99,2,0,0,0,0,0,0,0,6, + 0,0,0,16,0,0,0,67,0,0,0,115,112,0,0,0, + 124,0,106,0,114,14,124,0,106,1,125,2,110,6,124,0, + 106,2,125,2,124,2,106,3,124,1,100,1,116,4,106,5, + 100,0,100,2,133,2,25,0,22,0,100,3,141,2,125,3, + 121,38,124,0,106,6,124,3,131,1,143,18,125,4,116,7, + 106,8,124,4,100,4,131,2,125,5,87,0,100,0,81,0, + 82,0,88,0,87,0,110,20,4,0,116,9,107,10,114,106, + 1,0,1,0,1,0,100,0,83,0,88,0,124,5,83,0, + 41,5,78,122,5,37,100,46,37,100,114,59,0,0,0,41, + 2,114,123,0,0,0,90,11,115,121,115,95,118,101,114,115, + 105,111,110,114,32,0,0,0,41,10,218,11,68,69,66,85, 71,95,66,85,73,76,68,218,18,82,69,71,73,83,84,82, 89,95,75,69,89,95,68,69,66,85,71,218,12,82,69,71, 73,83,84,82,89,95,75,69,89,114,50,0,0,0,114,8, @@ -856,21 +857,21 @@ const unsigned char _Py_M__importlib_external[] = { 114,121,95,107,101,121,114,5,0,0,0,90,4,104,107,101, 121,218,8,102,105,108,101,112,97,116,104,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,16,95,115,101,97, - 114,99,104,95,114,101,103,105,115,116,114,121,95,2,0,0, - 115,22,0,0,0,0,2,6,1,8,2,6,1,10,1,22, + 114,99,104,95,114,101,103,105,115,116,114,121,96,2,0,0, + 115,22,0,0,0,0,2,6,1,8,2,6,1,6,1,22, 1,2,1,12,1,26,1,14,1,6,1,122,38,87,105,110, 100,111,119,115,82,101,103,105,115,116,114,121,70,105,110,100, 101,114,46,95,115,101,97,114,99,104,95,114,101,103,105,115, 116,114,121,78,99,4,0,0,0,0,0,0,0,8,0,0, - 0,14,0,0,0,67,0,0,0,115,122,0,0,0,124,0, + 0,14,0,0,0,67,0,0,0,115,120,0,0,0,124,0, 106,0,124,1,131,1,125,4,124,4,100,0,107,8,114,22, 100,0,83,0,121,12,116,1,124,4,131,1,1,0,87,0, 110,20,4,0,116,2,107,10,114,54,1,0,1,0,1,0, - 100,0,83,0,88,0,120,60,116,3,131,0,68,0,93,50, + 100,0,83,0,88,0,120,58,116,3,131,0,68,0,93,48, 92,2,125,5,125,6,124,4,106,4,116,5,124,6,131,1, 131,1,114,64,116,6,106,7,124,1,124,5,124,1,124,4, - 131,2,100,1,124,4,144,1,131,2,125,7,124,7,83,0, - 113,64,87,0,100,0,83,0,41,2,78,114,156,0,0,0, + 131,2,124,4,100,1,141,3,125,7,124,7,83,0,113,64, + 87,0,100,0,83,0,41,2,78,41,1,114,156,0,0,0, 41,8,114,175,0,0,0,114,41,0,0,0,114,42,0,0, 0,114,159,0,0,0,114,96,0,0,0,114,97,0,0,0, 114,118,0,0,0,218,16,115,112,101,99,95,102,114,111,109, @@ -878,9 +879,9 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,37,0,0,0,218,6,116,97,114,103,101,116, 114,174,0,0,0,114,124,0,0,0,114,164,0,0,0,114, 162,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,218,9,102,105,110,100,95,115,112,101,99,110,2, + 0,0,0,218,9,102,105,110,100,95,115,112,101,99,111,2, 0,0,115,26,0,0,0,0,2,10,1,8,1,4,1,2, - 1,12,1,14,1,6,1,16,1,14,1,6,1,10,1,8, + 1,12,1,14,1,6,1,16,1,14,1,6,1,8,1,8, 1,122,31,87,105,110,100,111,119,115,82,101,103,105,115,116, 114,121,70,105,110,100,101,114,46,102,105,110,100,95,115,112, 101,99,99,3,0,0,0,0,0,0,0,4,0,0,0,3, @@ -897,7 +898,7 @@ const unsigned char _Py_M__importlib_external[] = { 78,41,2,114,178,0,0,0,114,124,0,0,0,41,4,114, 168,0,0,0,114,123,0,0,0,114,37,0,0,0,114,162, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,11,102,105,110,100,95,109,111,100,117,108,101,126, + 0,0,218,11,102,105,110,100,95,109,111,100,117,108,101,127, 2,0,0,115,8,0,0,0,0,7,12,1,8,1,8,2, 122,33,87,105,110,100,111,119,115,82,101,103,105,115,116,114, 121,70,105,110,100,101,114,46,102,105,110,100,95,109,111,100, @@ -907,7 +908,7 @@ const unsigned char _Py_M__importlib_external[] = { 11,99,108,97,115,115,109,101,116,104,111,100,114,169,0,0, 0,114,175,0,0,0,114,178,0,0,0,114,179,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,166,0,0,0,76,2,0,0,115,20,0, + 6,0,0,0,114,166,0,0,0,77,2,0,0,115,20,0, 0,0,8,2,4,3,4,3,4,2,4,2,12,7,12,15, 2,1,12,15,2,1,114,166,0,0,0,99,0,0,0,0, 0,0,0,0,0,0,0,0,2,0,0,0,64,0,0,0, @@ -942,7 +943,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,123,0,0,0,114,98,0,0,0,90,13,102,105,108, 101,110,97,109,101,95,98,97,115,101,90,9,116,97,105,108, 95,110,97,109,101,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,157,0,0,0,145,2,0,0,115,8,0, + 6,0,0,0,114,157,0,0,0,146,2,0,0,115,8,0, 0,0,0,3,18,1,16,1,14,1,122,24,95,76,111,97, 100,101,114,66,97,115,105,99,115,46,105,115,95,112,97,99, 107,97,103,101,99,2,0,0,0,0,0,0,0,2,0,0, @@ -953,7 +954,7 @@ const unsigned char _Py_M__importlib_external[] = { 78,114,4,0,0,0,41,2,114,104,0,0,0,114,162,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, 0,218,13,99,114,101,97,116,101,95,109,111,100,117,108,101, - 153,2,0,0,115,0,0,0,0,122,27,95,76,111,97,100, + 154,2,0,0,115,0,0,0,0,122,27,95,76,111,97,100, 101,114,66,97,115,105,99,115,46,99,114,101,97,116,101,95, 109,111,100,117,108,101,99,2,0,0,0,0,0,0,0,3, 0,0,0,4,0,0,0,67,0,0,0,115,56,0,0,0, @@ -972,7 +973,7 @@ const unsigned char _Py_M__importlib_external[] = { 100,218,4,101,120,101,99,114,115,0,0,0,41,3,114,104, 0,0,0,218,6,109,111,100,117,108,101,114,144,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 11,101,120,101,99,95,109,111,100,117,108,101,156,2,0,0, + 11,101,120,101,99,95,109,111,100,117,108,101,157,2,0,0, 115,10,0,0,0,0,2,12,1,8,1,6,1,10,1,122, 25,95,76,111,97,100,101,114,66,97,115,105,99,115,46,101, 120,101,99,95,109,111,100,117,108,101,99,2,0,0,0,0, @@ -984,13 +985,13 @@ const unsigned char _Py_M__importlib_external[] = { 117,108,101,95,115,104,105,109,41,2,114,104,0,0,0,114, 123,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, 0,0,0,218,11,108,111,97,100,95,109,111,100,117,108,101, - 164,2,0,0,115,2,0,0,0,0,2,122,25,95,76,111, + 165,2,0,0,115,2,0,0,0,0,2,122,25,95,76,111, 97,100,101,114,66,97,115,105,99,115,46,108,111,97,100,95, 109,111,100,117,108,101,78,41,8,114,109,0,0,0,114,108, 0,0,0,114,110,0,0,0,114,111,0,0,0,114,157,0, 0,0,114,183,0,0,0,114,188,0,0,0,114,190,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,181,0,0,0,140,2,0,0,115,10, + 114,6,0,0,0,114,181,0,0,0,141,2,0,0,115,10, 0,0,0,8,3,4,2,8,8,8,3,8,8,114,181,0, 0,0,99,0,0,0,0,0,0,0,0,0,0,0,0,3, 0,0,0,64,0,0,0,115,74,0,0,0,101,0,90,1, @@ -1016,7 +1017,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,218,7,73,79,69,114,114,111,114,41,2,114,104,0,0, 0,114,37,0,0,0,114,4,0,0,0,114,4,0,0,0, 114,6,0,0,0,218,10,112,97,116,104,95,109,116,105,109, - 101,171,2,0,0,115,2,0,0,0,0,6,122,23,83,111, + 101,172,2,0,0,115,2,0,0,0,0,6,122,23,83,111, 117,114,99,101,76,111,97,100,101,114,46,112,97,116,104,95, 109,116,105,109,101,99,2,0,0,0,0,0,0,0,2,0, 0,0,3,0,0,0,67,0,0,0,115,14,0,0,0,100, @@ -1051,7 +1052,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,41,1,114,193,0,0,0,41,2,114,104,0,0, 0,114,37,0,0,0,114,4,0,0,0,114,4,0,0,0, 114,6,0,0,0,218,10,112,97,116,104,95,115,116,97,116, - 115,179,2,0,0,115,2,0,0,0,0,11,122,23,83,111, + 115,180,2,0,0,115,2,0,0,0,0,11,122,23,83,111, 117,114,99,101,76,111,97,100,101,114,46,112,97,116,104,95, 115,116,97,116,115,99,4,0,0,0,0,0,0,0,4,0, 0,0,3,0,0,0,67,0,0,0,115,12,0,0,0,124, @@ -1074,7 +1075,7 @@ const unsigned char _Py_M__importlib_external[] = { 4,114,104,0,0,0,114,94,0,0,0,90,10,99,97,99, 104,101,95,112,97,116,104,114,56,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,15,95,99,97, - 99,104,101,95,98,121,116,101,99,111,100,101,192,2,0,0, + 99,104,101,95,98,121,116,101,99,111,100,101,193,2,0,0, 115,2,0,0,0,0,8,122,28,83,111,117,114,99,101,76, 111,97,100,101,114,46,95,99,97,99,104,101,95,98,121,116, 101,99,111,100,101,99,3,0,0,0,0,0,0,0,3,0, @@ -1091,1298 +1092,1298 @@ const unsigned char _Py_M__importlib_external[] = { 108,101,115,46,10,32,32,32,32,32,32,32,32,78,114,4, 0,0,0,41,3,114,104,0,0,0,114,37,0,0,0,114, 56,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,195,0,0,0,202,2,0,0,115,0,0,0, + 0,0,0,114,195,0,0,0,203,2,0,0,115,0,0,0, 0,122,21,83,111,117,114,99,101,76,111,97,100,101,114,46, 115,101,116,95,100,97,116,97,99,2,0,0,0,0,0,0, - 0,5,0,0,0,16,0,0,0,67,0,0,0,115,84,0, + 0,5,0,0,0,16,0,0,0,67,0,0,0,115,82,0, 0,0,124,0,106,0,124,1,131,1,125,2,121,14,124,0, - 106,1,124,2,131,1,125,3,87,0,110,50,4,0,116,2, - 107,10,114,74,1,0,125,4,1,0,122,22,116,3,100,1, - 100,2,124,1,144,1,131,1,124,4,130,2,87,0,89,0, - 100,3,100,3,125,4,126,4,88,0,110,2,88,0,116,4, - 124,3,131,1,83,0,41,4,122,52,67,111,110,99,114,101, - 116,101,32,105,109,112,108,101,109,101,110,116,97,116,105,111, - 110,32,111,102,32,73,110,115,112,101,99,116,76,111,97,100, - 101,114,46,103,101,116,95,115,111,117,114,99,101,46,122,39, - 115,111,117,114,99,101,32,110,111,116,32,97,118,97,105,108, - 97,98,108,101,32,116,104,114,111,117,103,104,32,103,101,116, - 95,100,97,116,97,40,41,114,102,0,0,0,78,41,5,114, + 106,1,124,2,131,1,125,3,87,0,110,48,4,0,116,2, + 107,10,114,72,1,0,125,4,1,0,122,20,116,3,100,1, + 124,1,100,2,141,2,124,4,130,2,87,0,89,0,100,3, + 100,3,125,4,126,4,88,0,110,2,88,0,116,4,124,3, + 131,1,83,0,41,4,122,52,67,111,110,99,114,101,116,101, + 32,105,109,112,108,101,109,101,110,116,97,116,105,111,110,32, + 111,102,32,73,110,115,112,101,99,116,76,111,97,100,101,114, + 46,103,101,116,95,115,111,117,114,99,101,46,122,39,115,111, + 117,114,99,101,32,110,111,116,32,97,118,97,105,108,97,98, + 108,101,32,116,104,114,111,117,103,104,32,103,101,116,95,100, + 97,116,97,40,41,41,1,114,102,0,0,0,78,41,5,114, 155,0,0,0,218,8,103,101,116,95,100,97,116,97,114,42, 0,0,0,114,103,0,0,0,114,153,0,0,0,41,5,114, 104,0,0,0,114,123,0,0,0,114,37,0,0,0,114,151, 0,0,0,218,3,101,120,99,114,4,0,0,0,114,4,0, 0,0,114,6,0,0,0,218,10,103,101,116,95,115,111,117, - 114,99,101,209,2,0,0,115,14,0,0,0,0,2,10,1, - 2,1,14,1,16,1,6,1,28,1,122,23,83,111,117,114, + 114,99,101,210,2,0,0,115,14,0,0,0,0,2,10,1, + 2,1,14,1,16,1,4,1,28,1,122,23,83,111,117,114, 99,101,76,111,97,100,101,114,46,103,101,116,95,115,111,117, 114,99,101,114,31,0,0,0,41,1,218,9,95,111,112,116, 105,109,105,122,101,99,3,0,0,0,1,0,0,0,4,0, - 0,0,9,0,0,0,67,0,0,0,115,26,0,0,0,116, - 0,106,1,116,2,124,1,124,2,100,1,100,2,100,3,100, - 4,124,3,144,2,131,4,83,0,41,5,122,130,82,101,116, - 117,114,110,32,116,104,101,32,99,111,100,101,32,111,98,106, - 101,99,116,32,99,111,109,112,105,108,101,100,32,102,114,111, - 109,32,115,111,117,114,99,101,46,10,10,32,32,32,32,32, - 32,32,32,84,104,101,32,39,100,97,116,97,39,32,97,114, - 103,117,109,101,110,116,32,99,97,110,32,98,101,32,97,110, - 121,32,111,98,106,101,99,116,32,116,121,112,101,32,116,104, - 97,116,32,99,111,109,112,105,108,101,40,41,32,115,117,112, - 112,111,114,116,115,46,10,32,32,32,32,32,32,32,32,114, - 186,0,0,0,218,12,100,111,110,116,95,105,110,104,101,114, - 105,116,84,114,72,0,0,0,41,3,114,118,0,0,0,114, - 185,0,0,0,218,7,99,111,109,112,105,108,101,41,4,114, - 104,0,0,0,114,56,0,0,0,114,37,0,0,0,114,200, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,14,115,111,117,114,99,101,95,116,111,95,99,111, - 100,101,219,2,0,0,115,4,0,0,0,0,5,14,1,122, - 27,83,111,117,114,99,101,76,111,97,100,101,114,46,115,111, - 117,114,99,101,95,116,111,95,99,111,100,101,99,2,0,0, - 0,0,0,0,0,10,0,0,0,43,0,0,0,67,0,0, - 0,115,106,1,0,0,124,0,106,0,124,1,131,1,125,2, - 100,1,125,3,121,12,116,1,124,2,131,1,125,4,87,0, - 110,24,4,0,116,2,107,10,114,50,1,0,1,0,1,0, - 100,1,125,4,89,0,110,174,88,0,121,14,124,0,106,3, - 124,2,131,1,125,5,87,0,110,20,4,0,116,4,107,10, - 114,86,1,0,1,0,1,0,89,0,110,138,88,0,116,5, - 124,5,100,2,25,0,131,1,125,3,121,14,124,0,106,6, - 124,4,131,1,125,6,87,0,110,20,4,0,116,7,107,10, - 114,134,1,0,1,0,1,0,89,0,110,90,88,0,121,26, - 116,8,124,6,100,3,124,5,100,4,124,1,100,5,124,4, - 144,3,131,1,125,7,87,0,110,24,4,0,116,9,116,10, - 102,2,107,10,114,186,1,0,1,0,1,0,89,0,110,38, - 88,0,116,11,106,12,100,6,124,4,124,2,131,3,1,0, - 116,13,124,7,100,4,124,1,100,7,124,4,100,8,124,2, - 144,3,131,1,83,0,124,0,106,6,124,2,131,1,125,8, - 124,0,106,14,124,8,124,2,131,2,125,9,116,11,106,12, - 100,9,124,2,131,2,1,0,116,15,106,16,12,0,144,1, - 114,102,124,4,100,1,107,9,144,1,114,102,124,3,100,1, - 107,9,144,1,114,102,116,17,124,9,124,3,116,18,124,8, - 131,1,131,3,125,6,121,30,124,0,106,19,124,2,124,4, - 124,6,131,3,1,0,116,11,106,12,100,10,124,4,131,2, - 1,0,87,0,110,22,4,0,116,2,107,10,144,1,114,100, - 1,0,1,0,1,0,89,0,110,2,88,0,124,9,83,0, - 41,11,122,190,67,111,110,99,114,101,116,101,32,105,109,112, - 108,101,109,101,110,116,97,116,105,111,110,32,111,102,32,73, - 110,115,112,101,99,116,76,111,97,100,101,114,46,103,101,116, - 95,99,111,100,101,46,10,10,32,32,32,32,32,32,32,32, - 82,101,97,100,105,110,103,32,111,102,32,98,121,116,101,99, - 111,100,101,32,114,101,113,117,105,114,101,115,32,112,97,116, - 104,95,115,116,97,116,115,32,116,111,32,98,101,32,105,109, - 112,108,101,109,101,110,116,101,100,46,32,84,111,32,119,114, - 105,116,101,10,32,32,32,32,32,32,32,32,98,121,116,101, - 99,111,100,101,44,32,115,101,116,95,100,97,116,97,32,109, - 117,115,116,32,97,108,115,111,32,98,101,32,105,109,112,108, - 101,109,101,110,116,101,100,46,10,10,32,32,32,32,32,32, - 32,32,78,114,130,0,0,0,114,136,0,0,0,114,102,0, - 0,0,114,37,0,0,0,122,13,123,125,32,109,97,116,99, - 104,101,115,32,123,125,114,93,0,0,0,114,94,0,0,0, - 122,19,99,111,100,101,32,111,98,106,101,99,116,32,102,114, - 111,109,32,123,125,122,10,119,114,111,116,101,32,123,33,114, - 125,41,20,114,155,0,0,0,114,83,0,0,0,114,70,0, - 0,0,114,194,0,0,0,114,192,0,0,0,114,16,0,0, - 0,114,197,0,0,0,114,42,0,0,0,114,139,0,0,0, - 114,103,0,0,0,114,134,0,0,0,114,118,0,0,0,114, - 133,0,0,0,114,145,0,0,0,114,203,0,0,0,114,8, - 0,0,0,218,19,100,111,110,116,95,119,114,105,116,101,95, - 98,121,116,101,99,111,100,101,114,148,0,0,0,114,33,0, - 0,0,114,196,0,0,0,41,10,114,104,0,0,0,114,123, - 0,0,0,114,94,0,0,0,114,137,0,0,0,114,93,0, - 0,0,218,2,115,116,114,56,0,0,0,218,10,98,121,116, - 101,115,95,100,97,116,97,114,151,0,0,0,90,11,99,111, - 100,101,95,111,98,106,101,99,116,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,184,0,0,0,227,2,0, - 0,115,78,0,0,0,0,7,10,1,4,1,2,1,12,1, - 14,1,10,2,2,1,14,1,14,1,6,2,12,1,2,1, - 14,1,14,1,6,2,2,1,6,1,8,1,12,1,18,1, - 6,2,8,1,6,1,10,1,4,1,8,1,10,1,12,1, - 12,1,20,1,10,1,6,1,10,1,2,1,14,1,16,1, - 16,1,6,1,122,21,83,111,117,114,99,101,76,111,97,100, - 101,114,46,103,101,116,95,99,111,100,101,78,114,91,0,0, - 0,41,10,114,109,0,0,0,114,108,0,0,0,114,110,0, - 0,0,114,193,0,0,0,114,194,0,0,0,114,196,0,0, - 0,114,195,0,0,0,114,199,0,0,0,114,203,0,0,0, - 114,184,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,191,0,0,0,169,2, - 0,0,115,14,0,0,0,8,2,8,8,8,13,8,10,8, - 7,8,10,14,8,114,191,0,0,0,99,0,0,0,0,0, - 0,0,0,0,0,0,0,4,0,0,0,0,0,0,0,115, - 76,0,0,0,101,0,90,1,100,0,90,2,100,1,90,3, - 100,2,100,3,132,0,90,4,100,4,100,5,132,0,90,5, - 100,6,100,7,132,0,90,6,101,7,135,0,102,1,100,8, - 100,9,132,8,131,1,90,8,101,7,100,10,100,11,132,0, - 131,1,90,9,100,12,100,13,132,0,90,10,135,0,83,0, - 41,14,218,10,70,105,108,101,76,111,97,100,101,114,122,103, - 66,97,115,101,32,102,105,108,101,32,108,111,97,100,101,114, - 32,99,108,97,115,115,32,119,104,105,99,104,32,105,109,112, - 108,101,109,101,110,116,115,32,116,104,101,32,108,111,97,100, - 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, - 3,0,0,0,2,0,0,0,67,0,0,0,115,16,0,0, - 0,124,1,124,0,95,0,124,2,124,0,95,1,100,1,83, - 0,41,2,122,75,67,97,99,104,101,32,116,104,101,32,109, - 111,100,117,108,101,32,110,97,109,101,32,97,110,100,32,116, - 104,101,32,112,97,116,104,32,116,111,32,116,104,101,32,102, - 105,108,101,32,102,111,117,110,100,32,98,121,32,116,104,101, - 10,32,32,32,32,32,32,32,32,102,105,110,100,101,114,46, - 78,41,2,114,102,0,0,0,114,37,0,0,0,41,3,114, - 104,0,0,0,114,123,0,0,0,114,37,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,182,0, - 0,0,28,3,0,0,115,4,0,0,0,0,3,6,1,122, - 19,70,105,108,101,76,111,97,100,101,114,46,95,95,105,110, - 105,116,95,95,99,2,0,0,0,0,0,0,0,2,0,0, - 0,2,0,0,0,67,0,0,0,115,24,0,0,0,124,0, - 106,0,124,1,106,0,107,2,111,22,124,0,106,1,124,1, - 106,1,107,2,83,0,41,1,78,41,2,218,9,95,95,99, - 108,97,115,115,95,95,114,115,0,0,0,41,2,114,104,0, - 0,0,218,5,111,116,104,101,114,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,218,6,95,95,101,113,95,95, - 34,3,0,0,115,4,0,0,0,0,1,12,1,122,17,70, - 105,108,101,76,111,97,100,101,114,46,95,95,101,113,95,95, - 99,1,0,0,0,0,0,0,0,1,0,0,0,3,0,0, - 0,67,0,0,0,115,20,0,0,0,116,0,124,0,106,1, - 131,1,116,0,124,0,106,2,131,1,65,0,83,0,41,1, - 78,41,3,218,4,104,97,115,104,114,102,0,0,0,114,37, - 0,0,0,41,1,114,104,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,218,8,95,95,104,97,115, - 104,95,95,38,3,0,0,115,2,0,0,0,0,1,122,19, - 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, - 3,0,0,0,3,0,0,0,115,16,0,0,0,116,0,116, - 1,124,0,131,2,106,2,124,1,131,1,83,0,41,1,122, - 100,76,111,97,100,32,97,32,109,111,100,117,108,101,32,102, - 114,111,109,32,97,32,102,105,108,101,46,10,10,32,32,32, - 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, - 32,32,32,32,32,41,3,218,5,115,117,112,101,114,114,207, - 0,0,0,114,190,0,0,0,41,2,114,104,0,0,0,114, - 123,0,0,0,41,1,114,208,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,190,0,0,0,41,3,0,0,115,2, - 0,0,0,0,10,122,22,70,105,108,101,76,111,97,100,101, - 114,46,108,111,97,100,95,109,111,100,117,108,101,99,2,0, - 0,0,0,0,0,0,2,0,0,0,1,0,0,0,67,0, - 0,0,115,6,0,0,0,124,0,106,0,83,0,41,1,122, - 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, - 116,104,101,32,102,105,110,100,101,114,46,41,1,114,37,0, - 0,0,41,2,114,104,0,0,0,114,123,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,155,0, - 0,0,53,3,0,0,115,2,0,0,0,0,3,122,23,70, - 105,108,101,76,111,97,100,101,114,46,103,101,116,95,102,105, 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0,0,0,0,0,3,0,0,0,64,0,0,0,115,46,0, - 0,0,101,0,90,1,100,0,90,2,100,1,90,3,100,2, - 100,3,132,0,90,4,100,4,100,5,132,0,90,5,100,6, - 100,7,156,1,100,8,100,9,132,2,90,6,100,10,83,0, - 41,11,218,16,83,111,117,114,99,101,70,105,108,101,76,111, - 97,100,101,114,122,62,67,111,110,99,114,101,116,101,32,105, + 0,0,8,0,0,0,67,0,0,0,115,22,0,0,0,116, + 0,106,1,116,2,124,1,124,2,100,1,100,2,124,3,100, + 3,141,6,83,0,41,4,122,130,82,101,116,117,114,110,32, + 116,104,101,32,99,111,100,101,32,111,98,106,101,99,116,32, + 99,111,109,112,105,108,101,100,32,102,114,111,109,32,115,111, + 117,114,99,101,46,10,10,32,32,32,32,32,32,32,32,84, + 104,101,32,39,100,97,116,97,39,32,97,114,103,117,109,101, + 110,116,32,99,97,110,32,98,101,32,97,110,121,32,111,98, + 106,101,99,116,32,116,121,112,101,32,116,104,97,116,32,99, + 111,109,112,105,108,101,40,41,32,115,117,112,112,111,114,116, + 115,46,10,32,32,32,32,32,32,32,32,114,186,0,0,0, + 84,41,2,218,12,100,111,110,116,95,105,110,104,101,114,105, + 116,114,72,0,0,0,41,3,114,118,0,0,0,114,185,0, + 0,0,218,7,99,111,109,112,105,108,101,41,4,114,104,0, + 0,0,114,56,0,0,0,114,37,0,0,0,114,200,0,0, + 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, + 218,14,115,111,117,114,99,101,95,116,111,95,99,111,100,101, + 220,2,0,0,115,4,0,0,0,0,5,12,1,122,27,83, + 111,117,114,99,101,76,111,97,100,101,114,46,115,111,117,114, + 99,101,95,116,111,95,99,111,100,101,99,2,0,0,0,0, + 0,0,0,10,0,0,0,43,0,0,0,67,0,0,0,115, + 94,1,0,0,124,0,106,0,124,1,131,1,125,2,100,1, + 125,3,121,12,116,1,124,2,131,1,125,4,87,0,110,24, + 4,0,116,2,107,10,114,50,1,0,1,0,1,0,100,1, + 125,4,89,0,110,162,88,0,121,14,124,0,106,3,124,2, + 131,1,125,5,87,0,110,20,4,0,116,4,107,10,114,86, + 1,0,1,0,1,0,89,0,110,126,88,0,116,5,124,5, + 100,2,25,0,131,1,125,3,121,14,124,0,106,6,124,4, + 131,1,125,6,87,0,110,20,4,0,116,7,107,10,114,134, + 1,0,1,0,1,0,89,0,110,78,88,0,121,20,116,8, + 124,6,124,5,124,1,124,4,100,3,141,4,125,7,87,0, + 110,24,4,0,116,9,116,10,102,2,107,10,114,180,1,0, + 1,0,1,0,89,0,110,32,88,0,116,11,106,12,100,4, + 124,4,124,2,131,3,1,0,116,13,124,7,124,1,124,4, + 124,2,100,5,141,4,83,0,124,0,106,6,124,2,131,1, + 125,8,124,0,106,14,124,8,124,2,131,2,125,9,116,11, + 106,12,100,6,124,2,131,2,1,0,116,15,106,16,12,0, + 144,1,114,90,124,4,100,1,107,9,144,1,114,90,124,3, + 100,1,107,9,144,1,114,90,116,17,124,9,124,3,116,18, + 124,8,131,1,131,3,125,6,121,30,124,0,106,19,124,2, + 124,4,124,6,131,3,1,0,116,11,106,12,100,7,124,4, + 131,2,1,0,87,0,110,22,4,0,116,2,107,10,144,1, + 114,88,1,0,1,0,1,0,89,0,110,2,88,0,124,9, + 83,0,41,8,122,190,67,111,110,99,114,101,116,101,32,105, 109,112,108,101,109,101,110,116,97,116,105,111,110,32,111,102, - 32,83,111,117,114,99,101,76,111,97,100,101,114,32,117,115, - 105,110,103,32,116,104,101,32,102,105,108,101,32,115,121,115, - 116,101,109,46,99,2,0,0,0,0,0,0,0,3,0,0, - 0,3,0,0,0,67,0,0,0,115,22,0,0,0,116,0, - 124,1,131,1,125,2,124,2,106,1,124,2,106,2,100,1, - 156,2,83,0,41,2,122,33,82,101,116,117,114,110,32,116, - 104,101,32,109,101,116,97,100,97,116,97,32,102,111,114,32, - 116,104,101,32,112,97,116,104,46,41,2,122,5,109,116,105, - 109,101,122,4,115,105,122,101,41,3,114,41,0,0,0,218, - 8,115,116,95,109,116,105,109,101,90,7,115,116,95,115,105, - 122,101,41,3,114,104,0,0,0,114,37,0,0,0,114,205, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,114,194,0,0,0,68,3,0,0,115,4,0,0,0, - 0,2,8,1,122,27,83,111,117,114,99,101,70,105,108,101, - 76,111,97,100,101,114,46,112,97,116,104,95,115,116,97,116, - 115,99,4,0,0,0,0,0,0,0,5,0,0,0,5,0, - 0,0,67,0,0,0,115,26,0,0,0,116,0,124,1,131, - 1,125,4,124,0,106,1,124,2,124,3,100,1,124,4,144, - 1,131,2,83,0,41,2,78,218,5,95,109,111,100,101,41, - 2,114,101,0,0,0,114,195,0,0,0,41,5,114,104,0, - 0,0,114,94,0,0,0,114,93,0,0,0,114,56,0,0, - 0,114,44,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,196,0,0,0,73,3,0,0,115,4, - 0,0,0,0,2,8,1,122,32,83,111,117,114,99,101,70, - 105,108,101,76,111,97,100,101,114,46,95,99,97,99,104,101, - 95,98,121,116,101,99,111,100,101,105,182,1,0,0,41,1, - 114,217,0,0,0,99,3,0,0,0,1,0,0,0,9,0, - 0,0,17,0,0,0,67,0,0,0,115,250,0,0,0,116, - 0,124,1,131,1,92,2,125,4,125,5,103,0,125,6,120, - 40,124,4,114,56,116,1,124,4,131,1,12,0,114,56,116, - 0,124,4,131,1,92,2,125,4,125,7,124,6,106,2,124, - 7,131,1,1,0,113,18,87,0,120,108,116,3,124,6,131, - 1,68,0,93,96,125,7,116,4,124,4,124,7,131,2,125, - 4,121,14,116,5,106,6,124,4,131,1,1,0,87,0,113, - 68,4,0,116,7,107,10,114,118,1,0,1,0,1,0,119, - 68,89,0,113,68,4,0,116,8,107,10,114,162,1,0,125, - 8,1,0,122,18,116,9,106,10,100,1,124,4,124,8,131, - 3,1,0,100,2,83,0,100,2,125,8,126,8,88,0,113, - 68,88,0,113,68,87,0,121,28,116,11,124,1,124,2,124, - 3,131,3,1,0,116,9,106,10,100,3,124,1,131,2,1, - 0,87,0,110,48,4,0,116,8,107,10,114,244,1,0,125, - 8,1,0,122,20,116,9,106,10,100,1,124,1,124,8,131, - 3,1,0,87,0,89,0,100,2,100,2,125,8,126,8,88, - 0,110,2,88,0,100,2,83,0,41,4,122,27,87,114,105, - 116,101,32,98,121,116,101,115,32,100,97,116,97,32,116,111, - 32,97,32,102,105,108,101,46,122,27,99,111,117,108,100,32, - 110,111,116,32,99,114,101,97,116,101,32,123,33,114,125,58, - 32,123,33,114,125,78,122,12,99,114,101,97,116,101,100,32, - 123,33,114,125,41,12,114,40,0,0,0,114,48,0,0,0, - 114,161,0,0,0,114,35,0,0,0,114,30,0,0,0,114, - 3,0,0,0,90,5,109,107,100,105,114,218,15,70,105,108, - 101,69,120,105,115,116,115,69,114,114,111,114,114,42,0,0, - 0,114,118,0,0,0,114,133,0,0,0,114,58,0,0,0, - 41,9,114,104,0,0,0,114,37,0,0,0,114,56,0,0, - 0,114,217,0,0,0,218,6,112,97,114,101,110,116,114,98, - 0,0,0,114,29,0,0,0,114,25,0,0,0,114,198,0, - 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,195,0,0,0,78,3,0,0,115,42,0,0,0,0, - 2,12,1,4,2,16,1,12,1,14,2,14,1,10,1,2, - 1,14,1,14,2,6,1,16,3,6,1,8,1,20,1,2, - 1,12,1,16,1,16,2,8,1,122,25,83,111,117,114,99, - 101,70,105,108,101,76,111,97,100,101,114,46,115,101,116,95, - 100,97,116,97,78,41,7,114,109,0,0,0,114,108,0,0, - 0,114,110,0,0,0,114,111,0,0,0,114,194,0,0,0, - 114,196,0,0,0,114,195,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,215, - 0,0,0,64,3,0,0,115,8,0,0,0,8,2,4,2, - 8,5,8,5,114,215,0,0,0,99,0,0,0,0,0,0, - 0,0,0,0,0,0,2,0,0,0,64,0,0,0,115,32, - 0,0,0,101,0,90,1,100,0,90,2,100,1,90,3,100, - 2,100,3,132,0,90,4,100,4,100,5,132,0,90,5,100, - 6,83,0,41,7,218,20,83,111,117,114,99,101,108,101,115, - 115,70,105,108,101,76,111,97,100,101,114,122,45,76,111,97, - 100,101,114,32,119,104,105,99,104,32,104,97,110,100,108,101, - 115,32,115,111,117,114,99,101,108,101,115,115,32,102,105,108, - 101,32,105,109,112,111,114,116,115,46,99,2,0,0,0,0, - 0,0,0,5,0,0,0,6,0,0,0,67,0,0,0,115, - 56,0,0,0,124,0,106,0,124,1,131,1,125,2,124,0, - 106,1,124,2,131,1,125,3,116,2,124,3,100,1,124,1, - 100,2,124,2,144,2,131,1,125,4,116,3,124,4,100,1, - 124,1,100,3,124,2,144,2,131,1,83,0,41,4,78,114, - 102,0,0,0,114,37,0,0,0,114,93,0,0,0,41,4, - 114,155,0,0,0,114,197,0,0,0,114,139,0,0,0,114, - 145,0,0,0,41,5,114,104,0,0,0,114,123,0,0,0, - 114,37,0,0,0,114,56,0,0,0,114,206,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,184, - 0,0,0,113,3,0,0,115,8,0,0,0,0,1,10,1, - 10,1,18,1,122,29,83,111,117,114,99,101,108,101,115,115, - 70,105,108,101,76,111,97,100,101,114,46,103,101,116,95,99, - 111,100,101,99,2,0,0,0,0,0,0,0,2,0,0,0, - 1,0,0,0,67,0,0,0,115,4,0,0,0,100,1,83, - 0,41,2,122,39,82,101,116,117,114,110,32,78,111,110,101, - 32,97,115,32,116,104,101,114,101,32,105,115,32,110,111,32, - 115,111,117,114,99,101,32,99,111,100,101,46,78,114,4,0, - 0,0,41,2,114,104,0,0,0,114,123,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,199,0, - 0,0,119,3,0,0,115,2,0,0,0,0,2,122,31,83, - 111,117,114,99,101,108,101,115,115,70,105,108,101,76,111,97, - 100,101,114,46,103,101,116,95,115,111,117,114,99,101,78,41, - 6,114,109,0,0,0,114,108,0,0,0,114,110,0,0,0, - 114,111,0,0,0,114,184,0,0,0,114,199,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,220,0,0,0,109,3,0,0,115,6,0,0, - 0,8,2,4,2,8,6,114,220,0,0,0,99,0,0,0, - 0,0,0,0,0,0,0,0,0,3,0,0,0,64,0,0, - 0,115,92,0,0,0,101,0,90,1,100,0,90,2,100,1, - 90,3,100,2,100,3,132,0,90,4,100,4,100,5,132,0, - 90,5,100,6,100,7,132,0,90,6,100,8,100,9,132,0, - 90,7,100,10,100,11,132,0,90,8,100,12,100,13,132,0, - 90,9,100,14,100,15,132,0,90,10,100,16,100,17,132,0, - 90,11,101,12,100,18,100,19,132,0,131,1,90,13,100,20, - 83,0,41,21,218,19,69,120,116,101,110,115,105,111,110,70, - 105,108,101,76,111,97,100,101,114,122,93,76,111,97,100,101, - 114,32,102,111,114,32,101,120,116,101,110,115,105,111,110,32, - 109,111,100,117,108,101,115,46,10,10,32,32,32,32,84,104, - 101,32,99,111,110,115,116,114,117,99,116,111,114,32,105,115, - 32,100,101,115,105,103,110,101,100,32,116,111,32,119,111,114, - 107,32,119,105,116,104,32,70,105,108,101,70,105,110,100,101, - 114,46,10,10,32,32,32,32,99,3,0,0,0,0,0,0, - 0,3,0,0,0,2,0,0,0,67,0,0,0,115,16,0, - 0,0,124,1,124,0,95,0,124,2,124,0,95,1,100,0, - 83,0,41,1,78,41,2,114,102,0,0,0,114,37,0,0, - 0,41,3,114,104,0,0,0,114,102,0,0,0,114,37,0, - 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,182,0,0,0,136,3,0,0,115,4,0,0,0,0, - 1,6,1,122,28,69,120,116,101,110,115,105,111,110,70,105, - 108,101,76,111,97,100,101,114,46,95,95,105,110,105,116,95, - 95,99,2,0,0,0,0,0,0,0,2,0,0,0,2,0, - 0,0,67,0,0,0,115,24,0,0,0,124,0,106,0,124, - 1,106,0,107,2,111,22,124,0,106,1,124,1,106,1,107, - 2,83,0,41,1,78,41,2,114,208,0,0,0,114,115,0, - 0,0,41,2,114,104,0,0,0,114,209,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,210,0, - 0,0,140,3,0,0,115,4,0,0,0,0,1,12,1,122, - 26,69,120,116,101,110,115,105,111,110,70,105,108,101,76,111, + 32,73,110,115,112,101,99,116,76,111,97,100,101,114,46,103, + 101,116,95,99,111,100,101,46,10,10,32,32,32,32,32,32, + 32,32,82,101,97,100,105,110,103,32,111,102,32,98,121,116, + 101,99,111,100,101,32,114,101,113,117,105,114,101,115,32,112, + 97,116,104,95,115,116,97,116,115,32,116,111,32,98,101,32, + 105,109,112,108,101,109,101,110,116,101,100,46,32,84,111,32, + 119,114,105,116,101,10,32,32,32,32,32,32,32,32,98,121, + 116,101,99,111,100,101,44,32,115,101,116,95,100,97,116,97, + 32,109,117,115,116,32,97,108,115,111,32,98,101,32,105,109, + 112,108,101,109,101,110,116,101,100,46,10,10,32,32,32,32, + 32,32,32,32,78,114,130,0,0,0,41,3,114,136,0,0, + 0,114,102,0,0,0,114,37,0,0,0,122,13,123,125,32, + 109,97,116,99,104,101,115,32,123,125,41,3,114,102,0,0, + 0,114,93,0,0,0,114,94,0,0,0,122,19,99,111,100, + 101,32,111,98,106,101,99,116,32,102,114,111,109,32,123,125, + 122,10,119,114,111,116,101,32,123,33,114,125,41,20,114,155, + 0,0,0,114,83,0,0,0,114,70,0,0,0,114,194,0, + 0,0,114,192,0,0,0,114,16,0,0,0,114,197,0,0, + 0,114,42,0,0,0,114,139,0,0,0,114,103,0,0,0, + 114,134,0,0,0,114,118,0,0,0,114,133,0,0,0,114, + 145,0,0,0,114,203,0,0,0,114,8,0,0,0,218,19, + 100,111,110,116,95,119,114,105,116,101,95,98,121,116,101,99, + 111,100,101,114,148,0,0,0,114,33,0,0,0,114,196,0, + 0,0,41,10,114,104,0,0,0,114,123,0,0,0,114,94, + 0,0,0,114,137,0,0,0,114,93,0,0,0,218,2,115, + 116,114,56,0,0,0,218,10,98,121,116,101,115,95,100,97, + 116,97,114,151,0,0,0,90,11,99,111,100,101,95,111,98, + 106,101,99,116,114,4,0,0,0,114,4,0,0,0,114,6, + 0,0,0,114,184,0,0,0,228,2,0,0,115,78,0,0, + 0,0,7,10,1,4,1,2,1,12,1,14,1,10,2,2, + 1,14,1,14,1,6,2,12,1,2,1,14,1,14,1,6, + 2,2,1,4,1,4,1,12,1,18,1,6,2,8,1,6, + 1,6,1,2,1,8,1,10,1,12,1,12,1,20,1,10, + 1,6,1,10,1,2,1,14,1,16,1,16,1,6,1,122, + 21,83,111,117,114,99,101,76,111,97,100,101,114,46,103,101, + 116,95,99,111,100,101,78,114,91,0,0,0,41,10,114,109, + 0,0,0,114,108,0,0,0,114,110,0,0,0,114,193,0, + 0,0,114,194,0,0,0,114,196,0,0,0,114,195,0,0, + 0,114,199,0,0,0,114,203,0,0,0,114,184,0,0,0, + 114,4,0,0,0,114,4,0,0,0,114,4,0,0,0,114, + 6,0,0,0,114,191,0,0,0,170,2,0,0,115,14,0, + 0,0,8,2,8,8,8,13,8,10,8,7,8,10,14,8, + 114,191,0,0,0,99,0,0,0,0,0,0,0,0,0,0, + 0,0,4,0,0,0,0,0,0,0,115,76,0,0,0,101, + 0,90,1,100,0,90,2,100,1,90,3,100,2,100,3,132, + 0,90,4,100,4,100,5,132,0,90,5,100,6,100,7,132, + 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32,32,32,32,102,105,110,100,101,114,46,78,41,2,114,102, + 0,0,0,114,37,0,0,0,41,3,114,104,0,0,0,114, + 123,0,0,0,114,37,0,0,0,114,4,0,0,0,114,4, + 0,0,0,114,6,0,0,0,114,182,0,0,0,29,3,0, + 0,115,4,0,0,0,0,3,6,1,122,19,70,105,108,101, + 76,111,97,100,101,114,46,95,95,105,110,105,116,95,95,99, + 2,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0, + 67,0,0,0,115,24,0,0,0,124,0,106,0,124,1,106, + 0,107,2,111,22,124,0,106,1,124,1,106,1,107,2,83, + 0,41,1,78,41,2,218,9,95,95,99,108,97,115,115,95, + 95,114,115,0,0,0,41,2,114,104,0,0,0,218,5,111, + 116,104,101,114,114,4,0,0,0,114,4,0,0,0,114,6, + 0,0,0,218,6,95,95,101,113,95,95,35,3,0,0,115, + 4,0,0,0,0,1,12,1,122,17,70,105,108,101,76,111, 97,100,101,114,46,95,95,101,113,95,95,99,1,0,0,0, 0,0,0,0,1,0,0,0,3,0,0,0,67,0,0,0, 115,20,0,0,0,116,0,124,0,106,1,131,1,116,0,124, - 0,106,2,131,1,65,0,83,0,41,1,78,41,3,114,211, - 0,0,0,114,102,0,0,0,114,37,0,0,0,41,1,114, - 104,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,212,0,0,0,144,3,0,0,115,2,0,0, - 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0,100,0,83,0,41,1,78,114,4,0,0,0,41,2,114, + 104,0,0,0,114,187,0,0,0,114,4,0,0,0,114,4, + 0,0,0,114,6,0,0,0,114,188,0,0,0,11,4,0, + 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, + 0,0,0,3,0,0,0,67,0,0,0,115,26,0,0,0, + 116,0,106,1,100,1,124,0,106,2,131,2,1,0,116,0, + 106,3,124,0,124,1,131,2,83,0,41,2,122,98,76,111, + 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, + 97,116,104,32,123,33,114,125,41,4,114,118,0,0,0,114, + 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0,0,41,2,114,104,0,0,0,114,162,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,183,0, - 0,0,7,4,0,0,115,0,0,0,0,122,30,95,78,97, - 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, - 115,4,0,0,0,100,0,83,0,41,1,78,114,4,0,0, - 0,41,2,114,104,0,0,0,114,187,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,6,0,0,0,114,188,0,0, - 0,10,4,0,0,115,2,0,0,0,0,1,122,28,95,78, - 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, - 26,0,0,0,116,0,106,1,100,1,124,0,106,2,131,2, - 1,0,116,0,106,3,124,0,124,1,131,2,83,0,41,2, - 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, - 116,104,32,112,97,116,104,32,123,33,114,125,41,4,114,118, - 0,0,0,114,133,0,0,0,114,229,0,0,0,114,189,0, - 0,0,41,2,114,104,0,0,0,114,123,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,190,0, - 0,0,13,4,0,0,115,6,0,0,0,0,7,6,1,8, - 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, - 41,12,114,109,0,0,0,114,108,0,0,0,114,110,0,0, - 0,114,182,0,0,0,114,180,0,0,0,114,247,0,0,0, - 114,157,0,0,0,114,199,0,0,0,114,184,0,0,0,114, - 183,0,0,0,114,188,0,0,0,114,190,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,114,246,0,0,0,241,3,0,0,115,16,0,0,0, - 8,1,8,3,12,9,8,3,8,3,8,3,8,3,8,3, - 114,246,0,0,0,99,0,0,0,0,0,0,0,0,0,0, - 0,0,4,0,0,0,64,0,0,0,115,106,0,0,0,101, - 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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, - 104,101,46,10,10,32,32,32,32,32,32,32,32,73,102,32, - 116,104,101,32,112,97,116,104,32,101,110,116,114,121,32,105, - 115,32,110,111,116,32,105,110,32,116,104,101,32,99,97,99, - 104,101,44,32,102,105,110,100,32,116,104,101,32,97,112,112, - 114,111,112,114,105,97,116,101,32,102,105,110,100,101,114,10, - 32,32,32,32,32,32,32,32,97,110,100,32,99,97,99,104, - 101,32,105,116,46,32,73,102,32,110,111,32,102,105,110,100, - 101,114,32,105,115,32,97,118,97,105,108,97,98,108,101,44, - 32,115,116,111,114,101,32,78,111,110,101,46,10,10,32,32, - 32,32,32,32,32,32,114,32,0,0,0,78,41,7,114,3, - 0,0,0,114,47,0,0,0,218,17,70,105,108,101,78,111, - 116,70,111,117,110,100,69,114,114,111,114,114,8,0,0,0, - 114,250,0,0,0,114,135,0,0,0,114,254,0,0,0,41, - 3,114,168,0,0,0,114,37,0,0,0,114,252,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 20,95,112,97,116,104,95,105,109,112,111,114,116,101,114,95, - 99,97,99,104,101,52,4,0,0,115,22,0,0,0,0,8, - 8,1,2,1,12,1,14,3,6,1,2,1,14,1,14,1, - 10,1,16,1,122,31,80,97,116,104,70,105,110,100,101,114, - 46,95,112,97,116,104,95,105,109,112,111,114,116,101,114,95, - 99,97,99,104,101,99,3,0,0,0,0,0,0,0,6,0, - 0,0,3,0,0,0,67,0,0,0,115,82,0,0,0,116, - 0,124,2,100,1,131,2,114,26,124,2,106,1,124,1,131, - 1,92,2,125,3,125,4,110,14,124,2,106,2,124,1,131, - 1,125,3,103,0,125,4,124,3,100,0,107,9,114,60,116, - 3,106,4,124,1,124,3,131,2,83,0,116,3,106,5,124, - 1,100,0,131,2,125,5,124,4,124,5,95,6,124,5,83, - 0,41,2,78,114,121,0,0,0,41,7,114,112,0,0,0, - 114,121,0,0,0,114,179,0,0,0,114,118,0,0,0,114, - 176,0,0,0,114,158,0,0,0,114,154,0,0,0,41,6, - 114,168,0,0,0,114,123,0,0,0,114,252,0,0,0,114, - 124,0,0,0,114,125,0,0,0,114,162,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,218,16,95, - 108,101,103,97,99,121,95,103,101,116,95,115,112,101,99,74, - 4,0,0,115,18,0,0,0,0,4,10,1,16,2,10,1, - 4,1,8,1,12,1,12,1,6,1,122,27,80,97,116,104, - 70,105,110,100,101,114,46,95,108,101,103,97,99,121,95,103, - 101,116,95,115,112,101,99,78,99,4,0,0,0,0,0,0, - 0,9,0,0,0,5,0,0,0,67,0,0,0,115,170,0, - 0,0,103,0,125,4,120,160,124,2,68,0,93,130,125,5, - 116,0,124,5,116,1,116,2,102,2,131,2,115,30,113,10, - 124,0,106,3,124,5,131,1,125,6,124,6,100,1,107,9, - 114,10,116,4,124,6,100,2,131,2,114,72,124,6,106,5, - 124,1,124,3,131,2,125,7,110,12,124,0,106,6,124,1, - 124,6,131,2,125,7,124,7,100,1,107,8,114,94,113,10, - 124,7,106,7,100,1,107,9,114,108,124,7,83,0,124,7, - 106,8,125,8,124,8,100,1,107,8,114,130,116,9,100,3, - 131,1,130,1,124,4,106,10,124,8,131,1,1,0,113,10, - 87,0,116,11,106,12,124,1,100,1,131,2,125,7,124,4, - 124,7,95,8,124,7,83,0,100,1,83,0,41,4,122,63, - 70,105,110,100,32,116,104,101,32,108,111,97,100,101,114,32, - 111,114,32,110,97,109,101,115,112,97,99,101,95,112,97,116, - 104,32,102,111,114,32,116,104,105,115,32,109,111,100,117,108, - 101,47,112,97,99,107,97,103,101,32,110,97,109,101,46,78, - 114,178,0,0,0,122,19,115,112,101,99,32,109,105,115,115, - 105,110,103,32,108,111,97,100,101,114,41,13,114,141,0,0, - 0,114,73,0,0,0,218,5,98,121,116,101,115,114,0,1, - 0,0,114,112,0,0,0,114,178,0,0,0,114,1,1,0, - 0,114,124,0,0,0,114,154,0,0,0,114,103,0,0,0, - 114,147,0,0,0,114,118,0,0,0,114,158,0,0,0,41, - 9,114,168,0,0,0,114,123,0,0,0,114,37,0,0,0, - 114,177,0,0,0,218,14,110,97,109,101,115,112,97,99,101, - 95,112,97,116,104,90,5,101,110,116,114,121,114,252,0,0, - 0,114,162,0,0,0,114,125,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,218,9,95,103,101,116, - 95,115,112,101,99,89,4,0,0,115,40,0,0,0,0,5, - 4,1,10,1,14,1,2,1,10,1,8,1,10,1,14,2, - 12,1,8,1,2,1,10,1,4,1,6,1,8,1,8,5, - 14,2,12,1,6,1,122,20,80,97,116,104,70,105,110,100, - 101,114,46,95,103,101,116,95,115,112,101,99,99,4,0,0, - 0,0,0,0,0,6,0,0,0,4,0,0,0,67,0,0, - 0,115,104,0,0,0,124,2,100,1,107,8,114,14,116,0, - 106,1,125,2,124,0,106,2,124,1,124,2,124,3,131,3, - 125,4,124,4,100,1,107,8,114,42,100,1,83,0,110,58, - 124,4,106,3,100,1,107,8,114,96,124,4,106,4,125,5, - 124,5,114,90,100,2,124,4,95,5,116,6,124,1,124,5, - 124,0,106,2,131,3,124,4,95,4,124,4,83,0,113,100, - 100,1,83,0,110,4,124,4,83,0,100,1,83,0,41,3, - 122,141,84,114,121,32,116,111,32,102,105,110,100,32,97,32, - 115,112,101,99,32,102,111,114,32,39,102,117,108,108,110,97, - 109,101,39,32,111,110,32,115,121,115,46,112,97,116,104,32, - 111,114,32,39,112,97,116,104,39,46,10,10,32,32,32,32, - 32,32,32,32,84,104,101,32,115,101,97,114,99,104,32,105, - 115,32,98,97,115,101,100,32,111,110,32,115,121,115,46,112, - 97,116,104,95,104,111,111,107,115,32,97,110,100,32,115,121, - 115,46,112,97,116,104,95,105,109,112,111,114,116,101,114,95, - 99,97,99,104,101,46,10,32,32,32,32,32,32,32,32,78, - 90,9,110,97,109,101,115,112,97,99,101,41,7,114,8,0, - 0,0,114,37,0,0,0,114,4,1,0,0,114,124,0,0, - 0,114,154,0,0,0,114,156,0,0,0,114,227,0,0,0, - 41,6,114,168,0,0,0,114,123,0,0,0,114,37,0,0, - 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100,101,114,32,97,110,100,32,116,104,101,32,102,105,108,101, - 32,115,117,102,102,105,120,101,115,32,116,104,101,32,108,111, - 97,100,101,114,10,32,32,32,32,32,32,32,32,114,101,99, - 111,103,110,105,122,101,115,46,99,1,0,0,0,0,0,0, - 0,2,0,0,0,3,0,0,0,51,0,0,0,115,22,0, - 0,0,124,0,93,14,125,1,124,1,136,0,102,2,86,0, - 1,0,113,2,100,0,83,0,41,1,78,114,4,0,0,0, - 41,2,114,24,0,0,0,114,222,0,0,0,41,1,114,124, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,224,0, - 0,0,174,4,0,0,115,2,0,0,0,4,0,122,38,70, - 105,108,101,70,105,110,100,101,114,46,95,95,105,110,105,116, - 95,95,46,60,108,111,99,97,108,115,62,46,60,103,101,110, - 101,120,112,114,62,114,61,0,0,0,114,31,0,0,0,78, - 114,91,0,0,0,41,7,114,147,0,0,0,218,8,95,108, - 111,97,100,101,114,115,114,37,0,0,0,218,11,95,112,97, - 116,104,95,109,116,105,109,101,218,3,115,101,116,218,11,95, - 112,97,116,104,95,99,97,99,104,101,218,19,95,114,101,108, - 97,120,101,100,95,112,97,116,104,95,99,97,99,104,101,41, - 5,114,104,0,0,0,114,37,0,0,0,218,14,108,111,97, - 100,101,114,95,100,101,116,97,105,108,115,90,7,108,111,97, - 100,101,114,115,114,164,0,0,0,114,4,0,0,0,41,1, - 114,124,0,0,0,114,6,0,0,0,114,182,0,0,0,168, - 4,0,0,115,16,0,0,0,0,4,4,1,14,1,28,1, - 6,2,10,1,6,1,8,1,122,19,70,105,108,101,70,105, - 110,100,101,114,46,95,95,105,110,105,116,95,95,99,1,0, - 0,0,0,0,0,0,1,0,0,0,2,0,0,0,67,0, - 0,0,115,10,0,0,0,100,3,124,0,95,0,100,2,83, - 0,41,4,122,31,73,110,118,97,108,105,100,97,116,101,32, - 116,104,101,32,100,105,114,101,99,116,111,114,121,32,109,116, - 105,109,101,46,114,31,0,0,0,78,114,91,0,0,0,41, - 1,114,7,1,0,0,41,1,114,104,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,6,0,0,0,114,249,0,0, - 0,182,4,0,0,115,2,0,0,0,0,2,122,28,70,105, - 108,101,70,105,110,100,101,114,46,105,110,118,97,108,105,100, - 97,116,101,95,99,97,99,104,101,115,99,2,0,0,0,0, - 0,0,0,3,0,0,0,2,0,0,0,67,0,0,0,115, - 42,0,0,0,124,0,106,0,124,1,131,1,125,2,124,2, - 100,1,107,8,114,26,100,1,103,0,102,2,83,0,124,2, - 106,1,124,2,106,2,112,38,103,0,102,2,83,0,41,2, - 122,197,84,114,121,32,116,111,32,102,105,110,100,32,97,32, - 108,111,97,100,101,114,32,102,111,114,32,116,104,101,32,115, - 112,101,99,105,102,105,101,100,32,109,111,100,117,108,101,44, - 32,111,114,32,116,104,101,32,110,97,109,101,115,112,97,99, - 101,10,32,32,32,32,32,32,32,32,112,97,99,107,97,103, - 101,32,112,111,114,116,105,111,110,115,46,32,82,101,116,117, - 114,110,115,32,40,108,111,97,100,101,114,44,32,108,105,115, - 116,45,111,102,45,112,111,114,116,105,111,110,115,41,46,10, - 10,32,32,32,32,32,32,32,32,84,104,105,115,32,109,101, - 116,104,111,100,32,105,115,32,100,101,112,114,101,99,97,116, - 101,100,46,32,32,85,115,101,32,102,105,110,100,95,115,112, - 101,99,40,41,32,105,110,115,116,101,97,100,46,10,10,32, - 32,32,32,32,32,32,32,78,41,3,114,178,0,0,0,114, - 124,0,0,0,114,154,0,0,0,41,3,114,104,0,0,0, - 114,123,0,0,0,114,162,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,121,0,0,0,188,4, - 0,0,115,8,0,0,0,0,7,10,1,8,1,8,1,122, - 22,70,105,108,101,70,105,110,100,101,114,46,102,105,110,100, - 95,108,111,97,100,101,114,99,6,0,0,0,0,0,0,0, - 7,0,0,0,7,0,0,0,67,0,0,0,115,30,0,0, - 0,124,1,124,2,124,3,131,2,125,6,116,0,124,2,124, - 3,100,1,124,6,100,2,124,4,144,2,131,2,83,0,41, - 3,78,114,124,0,0,0,114,154,0,0,0,41,1,114,165, - 0,0,0,41,7,114,104,0,0,0,114,163,0,0,0,114, - 123,0,0,0,114,37,0,0,0,90,4,115,109,115,108,114, - 177,0,0,0,114,124,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,4,1,0,0,200,4,0, - 0,115,6,0,0,0,0,1,10,1,12,1,122,20,70,105, - 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, - 15,0,0,0,67,0,0,0,115,100,1,0,0,100,1,125, - 3,124,1,106,0,100,2,131,1,100,3,25,0,125,4,121, - 24,116,1,124,0,106,2,112,34,116,3,106,4,131,0,131, - 1,106,5,125,5,87,0,110,24,4,0,116,6,107,10,114, - 66,1,0,1,0,1,0,100,10,125,5,89,0,110,2,88, - 0,124,5,124,0,106,7,107,3,114,92,124,0,106,8,131, - 0,1,0,124,5,124,0,95,7,116,9,131,0,114,114,124, - 0,106,10,125,6,124,4,106,11,131,0,125,7,110,10,124, - 0,106,12,125,6,124,4,125,7,124,7,124,6,107,6,114, - 218,116,13,124,0,106,2,124,4,131,2,125,8,120,72,124, - 0,106,14,68,0,93,54,92,2,125,9,125,10,100,5,124, - 9,23,0,125,11,116,13,124,8,124,11,131,2,125,12,116, - 15,124,12,131,1,114,152,124,0,106,16,124,10,124,1,124, - 12,124,8,103,1,124,2,131,5,83,0,113,152,87,0,116, - 17,124,8,131,1,125,3,120,90,124,0,106,14,68,0,93, - 80,92,2,125,9,125,10,116,13,124,0,106,2,124,4,124, - 9,23,0,131,2,125,12,116,18,106,19,100,6,124,12,100, - 7,100,3,144,1,131,2,1,0,124,7,124,9,23,0,124, - 6,107,6,114,226,116,15,124,12,131,1,114,226,124,0,106, - 16,124,10,124,1,124,12,100,8,124,2,131,5,83,0,113, - 226,87,0,124,3,144,1,114,96,116,18,106,19,100,9,124, - 8,131,2,1,0,116,18,106,20,124,1,100,8,131,2,125, - 13,124,8,103,1,124,13,95,21,124,13,83,0,100,8,83, - 0,41,11,122,111,84,114,121,32,116,111,32,102,105,110,100, - 32,97,32,115,112,101,99,32,102,111,114,32,116,104,101,32, - 115,112,101,99,105,102,105,101,100,32,109,111,100,117,108,101, - 46,10,10,32,32,32,32,32,32,32,32,82,101,116,117,114, - 110,115,32,116,104,101,32,109,97,116,99,104,105,110,103,32, - 115,112,101,99,44,32,111,114,32,78,111,110,101,32,105,102, - 32,110,111,116,32,102,111,117,110,100,46,10,32,32,32,32, - 32,32,32,32,70,114,61,0,0,0,114,59,0,0,0,114, - 31,0,0,0,114,182,0,0,0,122,9,116,114,121,105,110, - 103,32,123,125,90,9,118,101,114,98,111,115,105,116,121,78, - 122,25,112,111,115,115,105,98,108,101,32,110,97,109,101,115, - 112,97,99,101,32,102,111,114,32,123,125,114,91,0,0,0, - 41,22,114,34,0,0,0,114,41,0,0,0,114,37,0,0, - 0,114,3,0,0,0,114,47,0,0,0,114,216,0,0,0, - 114,42,0,0,0,114,7,1,0,0,218,11,95,102,105,108, - 108,95,99,97,99,104,101,114,7,0,0,0,114,10,1,0, - 0,114,92,0,0,0,114,9,1,0,0,114,30,0,0,0, - 114,6,1,0,0,114,46,0,0,0,114,4,1,0,0,114, - 48,0,0,0,114,118,0,0,0,114,133,0,0,0,114,158, - 0,0,0,114,154,0,0,0,41,14,114,104,0,0,0,114, - 123,0,0,0,114,177,0,0,0,90,12,105,115,95,110,97, - 109,101,115,112,97,99,101,90,11,116,97,105,108,95,109,111, - 100,117,108,101,114,130,0,0,0,90,5,99,97,99,104,101, - 90,12,99,97,99,104,101,95,109,111,100,117,108,101,90,9, - 98,97,115,101,95,112,97,116,104,114,222,0,0,0,114,163, - 0,0,0,90,13,105,110,105,116,95,102,105,108,101,110,97, - 109,101,90,9,102,117,108,108,95,112,97,116,104,114,162,0, - 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,178,0,0,0,205,4,0,0,115,70,0,0,0,0, - 5,4,1,14,1,2,1,24,1,14,1,10,1,10,1,8, - 1,6,2,6,1,6,1,10,2,6,1,4,2,8,1,12, - 1,16,1,8,1,10,1,8,1,24,4,8,2,16,1,16, - 1,18,1,12,1,8,1,10,1,12,1,6,1,12,1,12, - 1,8,1,4,1,122,20,70,105,108,101,70,105,110,100,101, - 114,46,102,105,110,100,95,115,112,101,99,99,1,0,0,0, - 0,0,0,0,9,0,0,0,13,0,0,0,67,0,0,0, - 115,194,0,0,0,124,0,106,0,125,1,121,22,116,1,106, - 2,124,1,112,22,116,1,106,3,131,0,131,1,125,2,87, - 0,110,30,4,0,116,4,116,5,116,6,102,3,107,10,114, - 58,1,0,1,0,1,0,103,0,125,2,89,0,110,2,88, - 0,116,7,106,8,106,9,100,1,131,1,115,84,116,10,124, - 2,131,1,124,0,95,11,110,78,116,10,131,0,125,3,120, - 64,124,2,68,0,93,56,125,4,124,4,106,12,100,2,131, - 1,92,3,125,5,125,6,125,7,124,6,114,138,100,3,106, - 13,124,5,124,7,106,14,131,0,131,2,125,8,110,4,124, - 5,125,8,124,3,106,15,124,8,131,1,1,0,113,96,87, - 0,124,3,124,0,95,11,116,7,106,8,106,9,116,16,131, - 1,114,190,100,4,100,5,132,0,124,2,68,0,131,1,124, - 0,95,17,100,6,83,0,41,7,122,68,70,105,108,108,32, - 116,104,101,32,99,97,99,104,101,32,111,102,32,112,111,116, - 101,110,116,105,97,108,32,109,111,100,117,108,101,115,32,97, - 110,100,32,112,97,99,107,97,103,101,115,32,102,111,114,32, - 116,104,105,115,32,100,105,114,101,99,116,111,114,121,46,114, - 0,0,0,0,114,61,0,0,0,122,5,123,125,46,123,125, - 99,1,0,0,0,0,0,0,0,2,0,0,0,3,0,0, - 0,83,0,0,0,115,20,0,0,0,104,0,124,0,93,12, - 125,1,124,1,106,0,131,0,146,2,113,4,83,0,114,4, - 0,0,0,41,1,114,92,0,0,0,41,2,114,24,0,0, - 0,90,2,102,110,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,250,9,60,115,101,116,99,111,109,112,62,26, - 5,0,0,115,2,0,0,0,6,0,122,41,70,105,108,101, - 70,105,110,100,101,114,46,95,102,105,108,108,95,99,97,99, - 104,101,46,60,108,111,99,97,108,115,62,46,60,115,101,116, - 99,111,109,112,62,78,41,18,114,37,0,0,0,114,3,0, - 0,0,90,7,108,105,115,116,100,105,114,114,47,0,0,0, - 114,255,0,0,0,218,15,80,101,114,109,105,115,115,105,111, - 110,69,114,114,111,114,218,18,78,111,116,65,68,105,114,101, - 99,116,111,114,121,69,114,114,111,114,114,8,0,0,0,114, - 9,0,0,0,114,10,0,0,0,114,8,1,0,0,114,9, - 1,0,0,114,87,0,0,0,114,50,0,0,0,114,92,0, - 0,0,218,3,97,100,100,114,11,0,0,0,114,10,1,0, - 0,41,9,114,104,0,0,0,114,37,0,0,0,90,8,99, - 111,110,116,101,110,116,115,90,21,108,111,119,101,114,95,115, - 117,102,102,105,120,95,99,111,110,116,101,110,116,115,114,244, - 0,0,0,114,102,0,0,0,114,234,0,0,0,114,222,0, - 0,0,90,8,110,101,119,95,110,97,109,101,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,114,12,1,0,0, - 253,4,0,0,115,34,0,0,0,0,2,6,1,2,1,22, - 1,20,3,10,3,12,1,12,7,6,1,10,1,16,1,4, - 1,18,2,4,1,14,1,6,1,12,1,122,22,70,105,108, - 101,70,105,110,100,101,114,46,95,102,105,108,108,95,99,97, - 99,104,101,99,1,0,0,0,0,0,0,0,3,0,0,0, - 3,0,0,0,7,0,0,0,115,18,0,0,0,135,0,135, - 1,102,2,100,1,100,2,132,8,125,2,124,2,83,0,41, - 3,97,20,1,0,0,65,32,99,108,97,115,115,32,109,101, - 116,104,111,100,32,119,104,105,99,104,32,114,101,116,117,114, - 110,115,32,97,32,99,108,111,115,117,114,101,32,116,111,32, - 117,115,101,32,111,110,32,115,121,115,46,112,97,116,104,95, - 104,111,111,107,10,32,32,32,32,32,32,32,32,119,104,105, - 99,104,32,119,105,108,108,32,114,101,116,117,114,110,32,97, - 110,32,105,110,115,116,97,110,99,101,32,117,115,105,110,103, - 32,116,104,101,32,115,112,101,99,105,102,105,101,100,32,108, - 111,97,100,101,114,115,32,97,110,100,32,116,104,101,32,112, - 97,116,104,10,32,32,32,32,32,32,32,32,99,97,108,108, - 101,100,32,111,110,32,116,104,101,32,99,108,111,115,117,114, - 101,46,10,10,32,32,32,32,32,32,32,32,73,102,32,116, - 104,101,32,112,97,116,104,32,99,97,108,108,101,100,32,111, - 110,32,116,104,101,32,99,108,111,115,117,114,101,32,105,115, - 32,110,111,116,32,97,32,100,105,114,101,99,116,111,114,121, - 44,32,73,109,112,111,114,116,69,114,114,111,114,32,105,115, - 10,32,32,32,32,32,32,32,32,114,97,105,115,101,100,46, - 10,10,32,32,32,32,32,32,32,32,99,1,0,0,0,0, - 0,0,0,1,0,0,0,4,0,0,0,19,0,0,0,115, - 32,0,0,0,116,0,124,0,131,1,115,22,116,1,100,1, - 100,2,124,0,144,1,131,1,130,1,136,0,124,0,136,1, - 140,1,83,0,41,3,122,45,80,97,116,104,32,104,111,111, - 107,32,102,111,114,32,105,109,112,111,114,116,108,105,98,46, - 109,97,99,104,105,110,101,114,121,46,70,105,108,101,70,105, - 110,100,101,114,46,122,30,111,110,108,121,32,100,105,114,101, - 99,116,111,114,105,101,115,32,97,114,101,32,115,117,112,112, - 111,114,116,101,100,114,37,0,0,0,41,2,114,48,0,0, - 0,114,103,0,0,0,41,1,114,37,0,0,0,41,2,114, - 168,0,0,0,114,11,1,0,0,114,4,0,0,0,114,6, - 0,0,0,218,24,112,97,116,104,95,104,111,111,107,95,102, - 111,114,95,70,105,108,101,70,105,110,100,101,114,38,5,0, - 0,115,6,0,0,0,0,2,8,1,14,1,122,54,70,105, - 108,101,70,105,110,100,101,114,46,112,97,116,104,95,104,111, - 111,107,46,60,108,111,99,97,108,115,62,46,112,97,116,104, - 95,104,111,111,107,95,102,111,114,95,70,105,108,101,70,105, - 110,100,101,114,114,4,0,0,0,41,3,114,168,0,0,0, - 114,11,1,0,0,114,17,1,0,0,114,4,0,0,0,41, - 2,114,168,0,0,0,114,11,1,0,0,114,6,0,0,0, - 218,9,112,97,116,104,95,104,111,111,107,28,5,0,0,115, - 4,0,0,0,0,10,14,6,122,20,70,105,108,101,70,105, - 110,100,101,114,46,112,97,116,104,95,104,111,111,107,99,1, - 0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,67, - 0,0,0,115,12,0,0,0,100,1,106,0,124,0,106,1, - 131,1,83,0,41,2,78,122,16,70,105,108,101,70,105,110, - 100,101,114,40,123,33,114,125,41,41,2,114,50,0,0,0, - 114,37,0,0,0,41,1,114,104,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,114,243,0,0,0, - 46,5,0,0,115,2,0,0,0,0,1,122,19,70,105,108, - 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41,2,114,31,0,0,0,78,41,1,114,33,0,0,0,41, + 2,114,24,0,0,0,114,81,0,0,0,114,4,0,0,0, + 114,4,0,0,0,114,6,0,0,0,114,224,0,0,0,112, + 5,0,0,115,2,0,0,0,4,0,122,25,95,115,101,116, + 117,112,46,60,108,111,99,97,108,115,62,46,60,103,101,110, + 101,120,112,114,62,114,62,0,0,0,122,30,105,109,112,111, + 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, + 27,0,0,0,114,23,0,0,0,114,32,0,0,0,90,7, + 95,116,104,114,101,97,100,78,90,8,95,119,101,97,107,114, + 101,102,90,6,119,105,110,114,101,103,114,167,0,0,0,114, + 7,0,0,0,122,4,46,112,121,119,122,6,95,100,46,112, + 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, + 7,109,97,114,115,104,97,108,41,19,114,118,0,0,0,114, + 8,0,0,0,114,143,0,0,0,114,236,0,0,0,114,109, + 0,0,0,90,18,95,98,117,105,108,116,105,110,95,102,114, + 111,109,95,110,97,109,101,114,113,0,0,0,218,3,97,108, + 108,218,14,65,115,115,101,114,116,105,111,110,69,114,114,111, + 114,114,103,0,0,0,114,28,0,0,0,114,13,0,0,0, + 114,226,0,0,0,114,147,0,0,0,114,24,1,0,0,114, + 88,0,0,0,114,161,0,0,0,114,166,0,0,0,114,170, + 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, + 10,98,117,105,108,116,105,110,95,111,115,114,23,0,0,0, + 114,27,0,0,0,90,9,111,115,95,109,111,100,117,108,101, + 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, + 0,0,0,114,4,0,0,0,114,6,0,0,0,218,6,95, + 115,101,116,117,112,87,5,0,0,115,82,0,0,0,0,8, + 4,1,6,1,6,3,10,1,10,1,10,1,12,2,10,1, + 16,3,22,1,14,2,22,1,8,1,10,1,10,1,4,2, + 2,1,10,1,6,1,14,1,12,2,8,1,12,1,12,1, + 18,3,2,1,14,1,16,2,10,1,12,3,10,1,12,3, + 10,1,10,1,12,3,14,1,14,1,10,1,10,1,10,1, + 114,32,1,0,0,99,1,0,0,0,0,0,0,0,2,0, + 0,0,3,0,0,0,67,0,0,0,115,86,0,0,0,116, + 0,124,0,131,1,1,0,116,1,131,0,125,1,116,2,106, + 3,106,4,116,5,106,6,124,1,152,1,142,0,103,1,131, + 1,1,0,116,7,106,8,100,1,107,2,114,58,116,2,106, 9,106,10,116,11,131,1,1,0,116,2,106,9,106,10,116, 12,131,1,1,0,116,5,124,0,95,5,116,13,124,0,95, 13,100,2,83,0,41,3,122,41,73,110,115,116,97,108,108, @@ -2396,8 +2397,8 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,215,0,0,0,41,2,114,31,1,0,0,90,17,115, 117,112,112,111,114,116,101,100,95,108,111,97,100,101,114,115, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 8,95,105,110,115,116,97,108,108,154,5,0,0,115,16,0, - 0,0,0,2,8,1,6,1,20,1,10,1,12,1,12,4, + 8,95,105,110,115,116,97,108,108,155,5,0,0,115,16,0, + 0,0,0,2,8,1,6,1,22,1,10,1,12,1,12,4, 6,1,114,34,1,0,0,41,1,122,3,119,105,110,41,2, 114,1,0,0,0,114,2,0,0,0,41,1,114,49,0,0, 0,41,1,78,41,3,78,78,78,41,3,78,78,78,41,2, @@ -2430,7 +2431,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,4,0,0,0,114,6,0,0,0,218,8,60, 109,111,100,117,108,101,62,8,0,0,0,115,108,0,0,0, 4,16,4,1,4,1,2,1,6,3,8,17,8,5,8,5, - 8,6,8,12,8,10,8,9,8,5,8,7,10,22,10,119, + 8,6,8,12,8,10,8,9,8,5,8,7,10,22,10,120, 16,1,12,2,4,1,4,2,6,2,6,2,8,2,16,45, 8,34,8,19,8,12,8,12,8,28,8,17,10,55,10,12, 10,10,8,14,6,3,4,1,14,67,14,64,14,29,16,110, diff --git a/Python/opcode_targets.h b/Python/opcode_targets.h index 270ae5dbad..6d996f064d 100644 --- a/Python/opcode_targets.h +++ b/Python/opcode_targets.h @@ -139,9 +139,9 @@ static void *opcode_targets[256] = { &&TARGET_STORE_DEREF, &&TARGET_DELETE_DEREF, &&_unknown_opcode, - &&TARGET_CALL_FUNCTION_VAR, + &&_unknown_opcode, &&TARGET_CALL_FUNCTION_KW, - &&TARGET_CALL_FUNCTION_VAR_KW, + &&TARGET_CALL_FUNCTION_EX, &&TARGET_SETUP_WITH, &&TARGET_EXTENDED_ARG, &&TARGET_LIST_APPEND, -- cgit v1.2.1 From 90854a874a441fd07a196e9e8a4a8b6c1ff0e670 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Fri, 9 Sep 2016 12:36:44 -0700 Subject: Add _PyObject_FastCallKeywords() Issue #27830: Add _PyObject_FastCallKeywords(): avoid the creation of a temporary dictionary for keyword arguments. Other changes: * Cleanup call_function() and fast_function() (ex: rename nk to nkwargs) * Remove now useless do_call(), replaced with _PyObject_FastCallKeywords() --- Python/ceval.c | 89 ++++++++++++++++++++++++---------------------------------- 1 file changed, 36 insertions(+), 53 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 9b9245ed42..0e874b7f21 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -113,8 +113,7 @@ static PyObject * call_function(PyObject ***, Py_ssize_t, PyObject *, uint64*, u #else static PyObject * call_function(PyObject ***, Py_ssize_t, PyObject *); #endif -static PyObject * fast_function(PyObject *, PyObject ***, Py_ssize_t, PyObject *); -static PyObject * do_call(PyObject *, PyObject ***, Py_ssize_t, PyObject *); +static PyObject * fast_function(PyObject *, PyObject **, Py_ssize_t, PyObject *); static PyObject * do_call_core(PyObject *, PyObject *, PyObject *); static PyObject * create_keyword_args(PyObject *, PyObject ***, PyObject *); static PyObject * load_args(PyObject ***, Py_ssize_t); @@ -4940,7 +4939,7 @@ if (tstate->use_tracing && tstate->c_profilefunc) { \ } static PyObject * -call_function(PyObject ***pp_stack, Py_ssize_t oparg, PyObject *names +call_function(PyObject ***pp_stack, Py_ssize_t oparg, PyObject *kwnames #ifdef WITH_TSC , uint64* pintr0, uint64* pintr1 #endif @@ -4949,8 +4948,8 @@ call_function(PyObject ***pp_stack, Py_ssize_t oparg, PyObject *names PyObject **pfunc = (*pp_stack) - oparg - 1; PyObject *func = *pfunc; PyObject *x, *w; - Py_ssize_t nk = names == NULL ? 0 : PyTuple_GET_SIZE(names); - Py_ssize_t nargs = oparg - nk; + Py_ssize_t nkwargs = (kwnames == NULL) ? 0 : PyTuple_GET_SIZE(kwnames); + Py_ssize_t nargs = oparg - nkwargs; /* Always dispatch PyCFunction first, because these are presumed to be the most frequent callable object. @@ -4960,7 +4959,7 @@ call_function(PyObject ***pp_stack, Py_ssize_t oparg, PyObject *names PyThreadState *tstate = PyThreadState_GET(); PCALL(PCALL_CFUNCTION); - if (names == NULL && flags & (METH_NOARGS | METH_O)) { + if (kwnames == NULL && flags & (METH_NOARGS | METH_O)) { PyCFunction meth = PyCFunction_GET_FUNCTION(func); PyObject *self = PyCFunction_GET_SELF(func); if (flags & METH_NOARGS && nargs == 0) { @@ -4982,8 +4981,8 @@ call_function(PyObject ***pp_stack, Py_ssize_t oparg, PyObject *names } else { PyObject *callargs, *kwdict = NULL; - if (names != NULL) { - kwdict = create_keyword_args(names, pp_stack, func); + if (kwnames != NULL) { + kwdict = create_keyword_args(kwnames, pp_stack, func); if (kwdict == NULL) { x = NULL; goto cfuncerror; @@ -5003,6 +5002,9 @@ call_function(PyObject ***pp_stack, Py_ssize_t oparg, PyObject *names } } else { + Py_ssize_t nkwargs = (kwnames == NULL) ? 0 : PyTuple_GET_SIZE(kwnames); + PyObject **stack; + if (PyMethod_Check(func) && PyMethod_GET_SELF(func) != NULL) { /* optimize access to bound methods */ PyObject *self = PyMethod_GET_SELF(func); @@ -5018,11 +5020,14 @@ call_function(PyObject ***pp_stack, Py_ssize_t oparg, PyObject *names Py_INCREF(func); } + stack = (*pp_stack) - nargs - nkwargs; + READ_TIMESTAMP(*pintr0); if (PyFunction_Check(func)) { - x = fast_function(func, pp_stack, nargs, names); - } else { - x = do_call(func, pp_stack, nargs, names); + x = fast_function(func, stack, nargs, kwnames); + } + else { + x = _PyObject_FastCallKeywords(func, stack, nargs, kwnames); } READ_TIMESTAMP(*pintr1); @@ -5055,8 +5060,8 @@ cfuncerror: */ static PyObject* -_PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t nargs, - PyObject *globals) +_PyFunction_FastCall(PyCodeObject *co, PyObject **args, Py_ssize_t nargs, + PyObject *globals) { PyFrameObject *f; PyThreadState *tstate = PyThreadState_GET(); @@ -5091,19 +5096,19 @@ _PyFunction_FastCallNoKw(PyCodeObject *co, PyObject **args, Py_ssize_t nargs, return result; } -/* Similar to _PyFunction_FastCall() but keywords are passed a (key, value) - pairs in stack */ static PyObject * -fast_function(PyObject *func, PyObject ***pp_stack, Py_ssize_t nargs, PyObject *names) +fast_function(PyObject *func, PyObject **stack, + Py_ssize_t nargs, PyObject *kwnames) { PyCodeObject *co = (PyCodeObject *)PyFunction_GET_CODE(func); PyObject *globals = PyFunction_GET_GLOBALS(func); PyObject *argdefs = PyFunction_GET_DEFAULTS(func); PyObject *kwdefs, *closure, *name, *qualname; PyObject **d; - Py_ssize_t nkwargs = names == NULL ? 0 : PyTuple_GET_SIZE(names); + Py_ssize_t nkwargs = (kwnames == NULL) ? 0 : PyTuple_GET_SIZE(kwnames); Py_ssize_t nd; - PyObject **stack = (*pp_stack)-nargs-nkwargs; + + assert((nargs == 0 && nkwargs == 0) || stack != NULL); PCALL(PCALL_FUNCTION); PCALL(PCALL_FAST_FUNCTION); @@ -5112,15 +5117,14 @@ fast_function(PyObject *func, PyObject ***pp_stack, Py_ssize_t nargs, PyObject * co->co_flags == (CO_OPTIMIZED | CO_NEWLOCALS | CO_NOFREE)) { if (argdefs == NULL && co->co_argcount == nargs) { - return _PyFunction_FastCallNoKw(co, stack, nargs, globals); + return _PyFunction_FastCall(co, stack, nargs, globals); } else if (nargs == 0 && argdefs != NULL && co->co_argcount == Py_SIZE(argdefs)) { /* function called with no arguments, but all parameters have a default value: use default values as arguments .*/ stack = &PyTuple_GET_ITEM(argdefs, 0); - return _PyFunction_FastCallNoKw(co, stack, Py_SIZE(argdefs), - globals); + return _PyFunction_FastCall(co, stack, Py_SIZE(argdefs), globals); } } @@ -5140,11 +5144,18 @@ fast_function(PyObject *func, PyObject ***pp_stack, Py_ssize_t nargs, PyObject * return _PyEval_EvalCodeWithName((PyObject*)co, globals, (PyObject *)NULL, stack, nargs, NULL, 0, - names, stack + nargs, + kwnames, stack + nargs, d, (int)nd, kwdefs, closure, name, qualname); } +PyObject * +_PyFunction_FastCallKeywords(PyObject *func, PyObject **stack, + Py_ssize_t nargs, PyObject *kwnames) +{ + return fast_function(func, stack, nargs, kwnames); +} + PyObject * _PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, PyObject *kwargs) @@ -5172,15 +5183,14 @@ _PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, { /* Fast paths */ if (argdefs == NULL && co->co_argcount == nargs) { - return _PyFunction_FastCallNoKw(co, args, nargs, globals); + return _PyFunction_FastCall(co, args, nargs, globals); } else if (nargs == 0 && argdefs != NULL && co->co_argcount == Py_SIZE(argdefs)) { /* function called with no arguments, but all parameters have a default value: use default values as arguments .*/ args = &PyTuple_GET_ITEM(argdefs, 0); - return _PyFunction_FastCallNoKw(co, args, Py_SIZE(argdefs), - globals); + return _PyFunction_FastCall(co, args, Py_SIZE(argdefs), globals); } } @@ -5242,8 +5252,8 @@ create_keyword_args(PyObject *names, PyObject ***pp_stack, return NULL; while (--nk >= 0) { int err; - PyObject *value = EXT_POP(*pp_stack); PyObject *key = PyTuple_GET_ITEM(names, nk); + PyObject *value = EXT_POP(*pp_stack); if (PyDict_GetItem(kwdict, key) != NULL) { PyErr_Format(PyExc_TypeError, "%.200s%s got multiple values " @@ -5281,33 +5291,6 @@ load_args(PyObject ***pp_stack, Py_ssize_t nargs) return args; } -static PyObject * -do_call(PyObject *func, PyObject ***pp_stack, Py_ssize_t nargs, PyObject *kwnames) -{ - PyObject *callargs, *kwdict, *result; - - if (kwnames != NULL) { - kwdict = create_keyword_args(kwnames, pp_stack, func); - if (kwdict == NULL) { - return NULL; - } - } - else { - kwdict = NULL; - } - - callargs = load_args(pp_stack, nargs); - if (callargs == NULL) { - Py_XDECREF(kwdict); - return NULL; - } - - result = do_call_core(func, callargs, kwdict); - Py_XDECREF(callargs); - Py_XDECREF(kwdict); - return result; -} - static PyObject * do_call_core(PyObject *func, PyObject *callargs, PyObject *kwdict) { -- cgit v1.2.1 From 020f777c418f8cec467dd0c5413d9778c5c21003 Mon Sep 17 00:00:00 2001 From: Eric Snow Date: Fri, 9 Sep 2016 13:30:54 -0700 Subject: Issue #24320: Drop an old setuptools-induced hack. --- Python/importlib_external.h | 105 ++++++++++++++++++++++---------------------- 1 file changed, 52 insertions(+), 53 deletions(-) (limited to 'Python') diff --git a/Python/importlib_external.h b/Python/importlib_external.h index f2bcb287d6..3fcd0394f3 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -2380,61 +2380,60 @@ const unsigned char _Py_M__importlib_external[] = { 18,3,2,1,14,1,16,2,10,1,12,3,10,1,12,3, 10,1,10,1,12,3,14,1,14,1,10,1,10,1,10,1, 114,32,1,0,0,99,1,0,0,0,0,0,0,0,2,0, - 0,0,3,0,0,0,67,0,0,0,115,86,0,0,0,116, + 0,0,3,0,0,0,67,0,0,0,115,74,0,0,0,116, 0,124,0,131,1,1,0,116,1,131,0,125,1,116,2,106, 3,106,4,116,5,106,6,124,1,152,1,142,0,103,1,131, 1,1,0,116,7,106,8,100,1,107,2,114,58,116,2,106, 9,106,10,116,11,131,1,1,0,116,2,106,9,106,10,116, - 12,131,1,1,0,116,5,124,0,95,5,116,13,124,0,95, - 13,100,2,83,0,41,3,122,41,73,110,115,116,97,108,108, - 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, - 115,46,114,27,1,0,0,78,41,14,114,32,1,0,0,114, - 159,0,0,0,114,8,0,0,0,114,253,0,0,0,114,147, - 0,0,0,114,5,1,0,0,114,18,1,0,0,114,3,0, - 0,0,114,109,0,0,0,218,9,109,101,116,97,95,112,97, - 116,104,114,161,0,0,0,114,166,0,0,0,114,248,0,0, - 0,114,215,0,0,0,41,2,114,31,1,0,0,90,17,115, - 117,112,112,111,114,116,101,100,95,108,111,97,100,101,114,115, - 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 8,95,105,110,115,116,97,108,108,155,5,0,0,115,16,0, - 0,0,0,2,8,1,6,1,22,1,10,1,12,1,12,4, - 6,1,114,34,1,0,0,41,1,122,3,119,105,110,41,2, - 114,1,0,0,0,114,2,0,0,0,41,1,114,49,0,0, - 0,41,1,78,41,3,78,78,78,41,3,78,78,78,41,2, - 114,62,0,0,0,114,62,0,0,0,41,1,78,41,1,78, - 41,58,114,111,0,0,0,114,12,0,0,0,90,37,95,67, - 65,83,69,95,73,78,83,69,78,83,73,84,73,86,69,95, - 80,76,65,84,70,79,82,77,83,95,66,89,84,69,83,95, - 75,69,89,114,11,0,0,0,114,13,0,0,0,114,19,0, - 0,0,114,21,0,0,0,114,30,0,0,0,114,40,0,0, - 0,114,41,0,0,0,114,45,0,0,0,114,46,0,0,0, - 114,48,0,0,0,114,58,0,0,0,218,4,116,121,112,101, - 218,8,95,95,99,111,100,101,95,95,114,142,0,0,0,114, - 17,0,0,0,114,132,0,0,0,114,16,0,0,0,114,20, - 0,0,0,90,17,95,82,65,87,95,77,65,71,73,67,95, - 78,85,77,66,69,82,114,77,0,0,0,114,76,0,0,0, - 114,88,0,0,0,114,78,0,0,0,90,23,68,69,66,85, - 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, - 114,83,0,0,0,114,89,0,0,0,114,95,0,0,0,114, - 99,0,0,0,114,101,0,0,0,114,120,0,0,0,114,127, - 0,0,0,114,139,0,0,0,114,145,0,0,0,114,148,0, - 0,0,114,153,0,0,0,218,6,111,98,106,101,99,116,114, - 160,0,0,0,114,165,0,0,0,114,166,0,0,0,114,181, - 0,0,0,114,191,0,0,0,114,207,0,0,0,114,215,0, - 0,0,114,220,0,0,0,114,226,0,0,0,114,221,0,0, - 0,114,227,0,0,0,114,246,0,0,0,114,248,0,0,0, - 114,5,1,0,0,114,23,1,0,0,114,159,0,0,0,114, - 32,1,0,0,114,34,1,0,0,114,4,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,218,8,60, - 109,111,100,117,108,101,62,8,0,0,0,115,108,0,0,0, - 4,16,4,1,4,1,2,1,6,3,8,17,8,5,8,5, - 8,6,8,12,8,10,8,9,8,5,8,7,10,22,10,120, - 16,1,12,2,4,1,4,2,6,2,6,2,8,2,16,45, - 8,34,8,19,8,12,8,12,8,28,8,17,10,55,10,12, - 10,10,8,14,6,3,4,1,14,67,14,64,14,29,16,110, - 14,41,18,45,18,16,4,3,18,53,14,60,14,42,14,127, - 0,5,14,127,0,22,10,23,8,11,8,68, + 12,131,1,1,0,100,2,83,0,41,3,122,41,73,110,115, + 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, + 110,101,110,116,115,46,114,27,1,0,0,78,41,13,114,32, + 1,0,0,114,159,0,0,0,114,8,0,0,0,114,253,0, + 0,0,114,147,0,0,0,114,5,1,0,0,114,18,1,0, + 0,114,3,0,0,0,114,109,0,0,0,218,9,109,101,116, + 97,95,112,97,116,104,114,161,0,0,0,114,166,0,0,0, + 114,248,0,0,0,41,2,114,31,1,0,0,90,17,115,117, + 112,112,111,114,116,101,100,95,108,111,97,100,101,114,115,114, + 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,8, + 95,105,110,115,116,97,108,108,155,5,0,0,115,12,0,0, + 0,0,2,8,1,6,1,22,1,10,1,12,1,114,34,1, + 0,0,41,1,122,3,119,105,110,41,2,114,1,0,0,0, + 114,2,0,0,0,41,1,114,49,0,0,0,41,1,78,41, + 3,78,78,78,41,3,78,78,78,41,2,114,62,0,0,0, + 114,62,0,0,0,41,1,78,41,1,78,41,58,114,111,0, + 0,0,114,12,0,0,0,90,37,95,67,65,83,69,95,73, + 78,83,69,78,83,73,84,73,86,69,95,80,76,65,84,70, + 79,82,77,83,95,66,89,84,69,83,95,75,69,89,114,11, + 0,0,0,114,13,0,0,0,114,19,0,0,0,114,21,0, + 0,0,114,30,0,0,0,114,40,0,0,0,114,41,0,0, + 0,114,45,0,0,0,114,46,0,0,0,114,48,0,0,0, + 114,58,0,0,0,218,4,116,121,112,101,218,8,95,95,99, + 111,100,101,95,95,114,142,0,0,0,114,17,0,0,0,114, + 132,0,0,0,114,16,0,0,0,114,20,0,0,0,90,17, + 95,82,65,87,95,77,65,71,73,67,95,78,85,77,66,69, + 82,114,77,0,0,0,114,76,0,0,0,114,88,0,0,0, + 114,78,0,0,0,90,23,68,69,66,85,71,95,66,89,84, + 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, + 68,69,95,83,85,70,70,73,88,69,83,114,83,0,0,0, + 114,89,0,0,0,114,95,0,0,0,114,99,0,0,0,114, + 101,0,0,0,114,120,0,0,0,114,127,0,0,0,114,139, + 0,0,0,114,145,0,0,0,114,148,0,0,0,114,153,0, + 0,0,218,6,111,98,106,101,99,116,114,160,0,0,0,114, + 165,0,0,0,114,166,0,0,0,114,181,0,0,0,114,191, + 0,0,0,114,207,0,0,0,114,215,0,0,0,114,220,0, + 0,0,114,226,0,0,0,114,221,0,0,0,114,227,0,0, + 0,114,246,0,0,0,114,248,0,0,0,114,5,1,0,0, + 114,23,1,0,0,114,159,0,0,0,114,32,1,0,0,114, + 34,1,0,0,114,4,0,0,0,114,4,0,0,0,114,4, + 0,0,0,114,6,0,0,0,218,8,60,109,111,100,117,108, + 101,62,8,0,0,0,115,108,0,0,0,4,16,4,1,4, + 1,2,1,6,3,8,17,8,5,8,5,8,6,8,12,8, + 10,8,9,8,5,8,7,10,22,10,120,16,1,12,2,4, + 1,4,2,6,2,6,2,8,2,16,45,8,34,8,19,8, + 12,8,12,8,28,8,17,10,55,10,12,10,10,8,14,6, + 3,4,1,14,67,14,64,14,29,16,110,14,41,18,45,18, + 16,4,3,18,53,14,60,14,42,14,127,0,5,14,127,0, + 22,10,23,8,11,8,68, }; -- cgit v1.2.1 From 2615f24fb54cece9f22c5e2b1d206e8dd559631a Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Fri, 9 Sep 2016 14:07:44 -0700 Subject: Issue #27810: Add _PyCFunction_FastCallKeywords() Use _PyCFunction_FastCallKeywords() in ceval.c: it allows to remove a lot of code from ceval.c which was only used to call C functions. --- Python/ceval.c | 164 ++++++++++----------------------------------------------- 1 file changed, 28 insertions(+), 136 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 0e874b7f21..b2ddaa3170 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -115,8 +115,6 @@ static PyObject * call_function(PyObject ***, Py_ssize_t, PyObject *); #endif static PyObject * fast_function(PyObject *, PyObject **, Py_ssize_t, PyObject *); static PyObject * do_call_core(PyObject *, PyObject *, PyObject *); -static PyObject * create_keyword_args(PyObject *, PyObject ***, PyObject *); -static PyObject * load_args(PyObject ***, Py_ssize_t); #ifdef LLTRACE static int lltrace; @@ -4892,21 +4890,6 @@ PyEval_GetFuncDesc(PyObject *func) return " object"; } -static void -err_args(PyObject *func, int flags, Py_ssize_t nargs) -{ - if (flags & METH_NOARGS) - PyErr_Format(PyExc_TypeError, - "%.200s() takes no arguments (%zd given)", - ((PyCFunctionObject *)func)->m_ml->ml_name, - nargs); - else - PyErr_Format(PyExc_TypeError, - "%.200s() takes exactly one argument (%zd given)", - ((PyCFunctionObject *)func)->m_ml->ml_name, - nargs); -} - #define C_TRACE(x, call) \ if (tstate->use_tracing && tstate->c_profilefunc) { \ if (call_trace(tstate->c_profilefunc, tstate->c_profileobj, \ @@ -4950,91 +4933,49 @@ call_function(PyObject ***pp_stack, Py_ssize_t oparg, PyObject *kwnames PyObject *x, *w; Py_ssize_t nkwargs = (kwnames == NULL) ? 0 : PyTuple_GET_SIZE(kwnames); Py_ssize_t nargs = oparg - nkwargs; + PyObject **stack; /* Always dispatch PyCFunction first, because these are presumed to be the most frequent callable object. */ if (PyCFunction_Check(func)) { - int flags = PyCFunction_GET_FLAGS(func); PyThreadState *tstate = PyThreadState_GET(); PCALL(PCALL_CFUNCTION); - if (kwnames == NULL && flags & (METH_NOARGS | METH_O)) { - PyCFunction meth = PyCFunction_GET_FUNCTION(func); - PyObject *self = PyCFunction_GET_SELF(func); - if (flags & METH_NOARGS && nargs == 0) { - C_TRACE(x, (*meth)(self,NULL)); - x = _Py_CheckFunctionResult(func, x, NULL); - } - else if (flags & METH_O && nargs == 1) { - PyObject *arg = EXT_POP(*pp_stack); - C_TRACE(x, (*meth)(self,arg)); - Py_DECREF(arg); + stack = (*pp_stack) - nargs - nkwargs; + C_TRACE(x, _PyCFunction_FastCallKeywords(func, stack, nargs, kwnames)); + } + else { + if (PyMethod_Check(func) && PyMethod_GET_SELF(func) != NULL) { + /* optimize access to bound methods */ + PyObject *self = PyMethod_GET_SELF(func); + PCALL(PCALL_METHOD); + PCALL(PCALL_BOUND_METHOD); + Py_INCREF(self); + func = PyMethod_GET_FUNCTION(func); + Py_INCREF(func); + Py_SETREF(*pfunc, self); + nargs++; + } + else { + Py_INCREF(func); + } - x = _Py_CheckFunctionResult(func, x, NULL); - } - else { - err_args(func, flags, nargs); - x = NULL; - } + stack = (*pp_stack) - nargs - nkwargs; + + READ_TIMESTAMP(*pintr0); + if (PyFunction_Check(func)) { + x = fast_function(func, stack, nargs, kwnames); } else { - PyObject *callargs, *kwdict = NULL; - if (kwnames != NULL) { - kwdict = create_keyword_args(kwnames, pp_stack, func); - if (kwdict == NULL) { - x = NULL; - goto cfuncerror; - } - } - callargs = load_args(pp_stack, nargs); - if (callargs != NULL) { - READ_TIMESTAMP(*pintr0); - C_TRACE(x, PyCFunction_Call(func, callargs, kwdict)); - READ_TIMESTAMP(*pintr1); - Py_DECREF(callargs); - } - else { - x = NULL; - } - Py_XDECREF(kwdict); + x = _PyObject_FastCallKeywords(func, stack, nargs, kwnames); } - } - else { - Py_ssize_t nkwargs = (kwnames == NULL) ? 0 : PyTuple_GET_SIZE(kwnames); - PyObject **stack; - - if (PyMethod_Check(func) && PyMethod_GET_SELF(func) != NULL) { - /* optimize access to bound methods */ - PyObject *self = PyMethod_GET_SELF(func); - PCALL(PCALL_METHOD); - PCALL(PCALL_BOUND_METHOD); - Py_INCREF(self); - func = PyMethod_GET_FUNCTION(func); - Py_INCREF(func); - Py_SETREF(*pfunc, self); - nargs++; - } - else { - Py_INCREF(func); - } - - stack = (*pp_stack) - nargs - nkwargs; - - READ_TIMESTAMP(*pintr0); - if (PyFunction_Check(func)) { - x = fast_function(func, stack, nargs, kwnames); - } - else { - x = _PyObject_FastCallKeywords(func, stack, nargs, kwnames); - } - READ_TIMESTAMP(*pintr1); - - Py_DECREF(func); + READ_TIMESTAMP(*pintr1); + + Py_DECREF(func); } -cfuncerror: assert((x != NULL) ^ (PyErr_Occurred() != NULL)); /* Clear the stack of the function object. Also removes @@ -5242,55 +5183,6 @@ _PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, return result; } -static PyObject * -create_keyword_args(PyObject *names, PyObject ***pp_stack, - PyObject *func) -{ - Py_ssize_t nk = PyTuple_GET_SIZE(names); - PyObject *kwdict = _PyDict_NewPresized(nk); - if (kwdict == NULL) - return NULL; - while (--nk >= 0) { - int err; - PyObject *key = PyTuple_GET_ITEM(names, nk); - PyObject *value = EXT_POP(*pp_stack); - if (PyDict_GetItem(kwdict, key) != NULL) { - PyErr_Format(PyExc_TypeError, - "%.200s%s got multiple values " - "for keyword argument '%U'", - PyEval_GetFuncName(func), - PyEval_GetFuncDesc(func), - key); - Py_DECREF(value); - Py_DECREF(kwdict); - return NULL; - } - err = PyDict_SetItem(kwdict, key, value); - Py_DECREF(value); - if (err) { - Py_DECREF(kwdict); - return NULL; - } - } - return kwdict; -} - -static PyObject * -load_args(PyObject ***pp_stack, Py_ssize_t nargs) -{ - PyObject *args = PyTuple_New(nargs); - - if (args == NULL) { - return NULL; - } - - while (--nargs >= 0) { - PyObject *arg= EXT_POP(*pp_stack); - PyTuple_SET_ITEM(args, nargs, arg); - } - return args; -} - static PyObject * do_call_core(PyObject *func, PyObject *callargs, PyObject *kwdict) { -- cgit v1.2.1 From 033712922fc31dd53c74ed2d299f81b969ae7e98 Mon Sep 17 00:00:00 2001 From: Brett Cannon Date: Fri, 9 Sep 2016 14:57:09 -0700 Subject: Issue #26331: Implement the parsing part of PEP 515. Thanks to Georg Brandl for the patch. --- Python/ast.c | 27 ++++++++++++++++++++++- Python/pystrtod.c | 66 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 92 insertions(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/ast.c b/Python/ast.c index 37193329c8..dcaa697a38 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -4018,7 +4018,7 @@ ast_for_stmt(struct compiling *c, const node *n) } static PyObject * -parsenumber(struct compiling *c, const char *s) +parsenumber_raw(struct compiling *c, const char *s) { const char *end; long x; @@ -4060,6 +4060,31 @@ parsenumber(struct compiling *c, const char *s) } } +static PyObject * +parsenumber(struct compiling *c, const char *s) +{ + char *dup, *end; + PyObject *res = NULL; + + assert(s != NULL); + + if (strchr(s, '_') == NULL) { + return parsenumber_raw(c, s); + } + /* Create a duplicate without underscores. */ + dup = PyMem_Malloc(strlen(s) + 1); + end = dup; + for (; *s; s++) { + if (*s != '_') { + *end++ = *s; + } + } + *end = '\0'; + res = parsenumber_raw(c, dup); + PyMem_Free(dup); + return res; +} + static PyObject * decode_utf8(struct compiling *c, const char **sPtr, const char *end) { diff --git a/Python/pystrtod.c b/Python/pystrtod.c index 5f3af92dca..64d0c52e48 100644 --- a/Python/pystrtod.c +++ b/Python/pystrtod.c @@ -370,6 +370,72 @@ PyOS_string_to_double(const char *s, return result; } +/* Remove underscores that follow the underscore placement rule from + the string and then call the `innerfunc` function on the result. + It should return a new object or NULL on exception. + + `what` is used for the error message emitted when underscores are detected + that don't follow the rule. `arg` is an opaque pointer passed to the inner + function. + + This is used to implement underscore-agnostic conversion for floats + and complex numbers. +*/ +PyObject * +_Py_string_to_number_with_underscores( + const char *s, Py_ssize_t orig_len, const char *what, PyObject *obj, void *arg, + PyObject *(*innerfunc)(const char *, Py_ssize_t, void *)) +{ + char prev; + const char *p, *last; + char *dup, *end; + PyObject *result; + + if (strchr(s, '_') == NULL) { + return innerfunc(s, orig_len, arg); + } + + dup = PyMem_Malloc(orig_len + 1); + end = dup; + prev = '\0'; + last = s + orig_len; + for (p = s; *p; p++) { + if (*p == '_') { + /* Underscores are only allowed after digits. */ + if (!(prev >= '0' && prev <= '9')) { + goto error; + } + } + else { + *end++ = *p; + /* Underscores are only allowed before digits. */ + if (prev == '_' && !(*p >= '0' && *p <= '9')) { + goto error; + } + } + prev = *p; + } + /* Underscores are not allowed at the end. */ + if (prev == '_') { + goto error; + } + /* No embedded NULs allowed. */ + if (p != last) { + goto error; + } + *end = '\0'; + result = innerfunc(dup, end - dup, arg); + PyMem_Free(dup); + return result; + + error: + PyMem_Free(dup); + PyErr_Format(PyExc_ValueError, + "could not convert string to %s: " + "%R", what, obj); + return NULL; +} + #ifdef PY_NO_SHORT_FLOAT_REPR /* Given a string that may have a decimal point in the current -- cgit v1.2.1 From 831deb2ea3f31f273438acc797ae12d183a21422 Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Fri, 9 Sep 2016 14:57:58 -0700 Subject: remove ceval timestamp support --- Python/ceval.c | 154 +---------------------------------------------------- Python/pystate.c | 3 -- Python/sysmodule.c | 30 ----------- 3 files changed, 1 insertion(+), 186 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index b2ddaa3170..2d42fe28ee 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -20,82 +20,6 @@ #include -#ifndef WITH_TSC - -#define READ_TIMESTAMP(var) - -#else - -typedef unsigned long long uint64; - -/* PowerPC support. - "__ppc__" appears to be the preprocessor definition to detect on OS X, whereas - "__powerpc__" appears to be the correct one for Linux with GCC -*/ -#if defined(__ppc__) || defined (__powerpc__) - -#define READ_TIMESTAMP(var) ppc_getcounter(&var) - -static void -ppc_getcounter(uint64 *v) -{ - unsigned long tbu, tb, tbu2; - - loop: - asm volatile ("mftbu %0" : "=r" (tbu) ); - asm volatile ("mftb %0" : "=r" (tb) ); - asm volatile ("mftbu %0" : "=r" (tbu2)); - if (__builtin_expect(tbu != tbu2, 0)) goto loop; - - /* The slightly peculiar way of writing the next lines is - compiled better by GCC than any other way I tried. */ - ((long*)(v))[0] = tbu; - ((long*)(v))[1] = tb; -} - -#elif defined(__i386__) - -/* this is for linux/x86 (and probably any other GCC/x86 combo) */ - -#define READ_TIMESTAMP(val) \ - __asm__ __volatile__("rdtsc" : "=A" (val)) - -#elif defined(__x86_64__) - -/* for gcc/x86_64, the "A" constraint in DI mode means *either* rax *or* rdx; - not edx:eax as it does for i386. Since rdtsc puts its result in edx:eax - even in 64-bit mode, we need to use "a" and "d" for the lower and upper - 32-bit pieces of the result. */ - -#define READ_TIMESTAMP(val) do { \ - unsigned int h, l; \ - __asm__ __volatile__("rdtsc" : "=a" (l), "=d" (h)); \ - (val) = ((uint64)l) | (((uint64)h) << 32); \ - } while(0) - - -#else - -#error "Don't know how to implement timestamp counter for this architecture" - -#endif - -void dump_tsc(int opcode, int ticked, uint64 inst0, uint64 inst1, - uint64 loop0, uint64 loop1, uint64 intr0, uint64 intr1) -{ - uint64 intr, inst, loop; - PyThreadState *tstate = PyThreadState_Get(); - if (!tstate->interp->tscdump) - return; - intr = intr1 - intr0; - inst = inst1 - inst0 - intr; - loop = loop1 - loop0 - intr; - fprintf(stderr, "opcode=%03d t=%d inst=%06lld loop=%06lld\n", - opcode, ticked, inst, loop); -} - -#endif - /* Turn this on if your compiler chokes on the big switch: */ /* #define CASE_TOO_BIG 1 */ @@ -108,11 +32,7 @@ void dump_tsc(int opcode, int ticked, uint64 inst0, uint64 inst1, typedef PyObject *(*callproc)(PyObject *, PyObject *, PyObject *); /* Forward declarations */ -#ifdef WITH_TSC -static PyObject * call_function(PyObject ***, Py_ssize_t, PyObject *, uint64*, uint64*); -#else static PyObject * call_function(PyObject ***, Py_ssize_t, PyObject *); -#endif static PyObject * fast_function(PyObject *, PyObject **, Py_ssize_t, PyObject *); static PyObject * do_call_core(PyObject *, PyObject *, PyObject *); @@ -938,46 +858,6 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) #define GETITEM(v, i) PyTuple_GetItem((v), (i)) #endif -#ifdef WITH_TSC -/* Use Pentium timestamp counter to mark certain events: - inst0 -- beginning of switch statement for opcode dispatch - inst1 -- end of switch statement (may be skipped) - loop0 -- the top of the mainloop - loop1 -- place where control returns again to top of mainloop - (may be skipped) - intr1 -- beginning of long interruption - intr2 -- end of long interruption - - Many opcodes call out to helper C functions. In some cases, the - time in those functions should be counted towards the time for the - opcode, but not in all cases. For example, a CALL_FUNCTION opcode - calls another Python function; there's no point in charge all the - bytecode executed by the called function to the caller. - - It's hard to make a useful judgement statically. In the presence - of operator overloading, it's impossible to tell if a call will - execute new Python code or not. - - It's a case-by-case judgement. I'll use intr1 for the following - cases: - - IMPORT_STAR - IMPORT_FROM - CALL_FUNCTION (and friends) - - */ - uint64 inst0, inst1, loop0, loop1, intr0 = 0, intr1 = 0; - int ticked = 0; - - READ_TIMESTAMP(inst0); - READ_TIMESTAMP(inst1); - READ_TIMESTAMP(loop0); - READ_TIMESTAMP(loop1); - - /* shut up the compiler */ - opcode = 0; -#endif - /* Code access macros */ #ifdef WORDS_BIGENDIAN @@ -1225,23 +1105,6 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) #endif for (;;) { -#ifdef WITH_TSC - if (inst1 == 0) { - /* Almost surely, the opcode executed a break - or a continue, preventing inst1 from being set - on the way out of the loop. - */ - READ_TIMESTAMP(inst1); - loop1 = inst1; - } - dump_tsc(opcode, ticked, inst0, inst1, loop0, loop1, - intr0, intr1); - ticked = 0; - inst1 = 0; - intr0 = 0; - intr1 = 0; - READ_TIMESTAMP(loop0); -#endif assert(stack_pointer >= f->f_valuestack); /* else underflow */ assert(STACK_LEVEL() <= co->co_stacksize); /* else overflow */ assert(!PyErr_Occurred()); @@ -1260,9 +1123,6 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) a try: finally: block uninterruptible. */ goto fast_next_opcode; } -#ifdef WITH_TSC - ticked = 1; -#endif if (_Py_atomic_load_relaxed(&pendingcalls_to_do)) { if (Py_MakePendingCalls() < 0) goto error; @@ -3403,11 +3263,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) PyObject **sp, *res; PCALL(PCALL_ALL); sp = stack_pointer; -#ifdef WITH_TSC - res = call_function(&sp, oparg, NULL, &intr0, &intr1); -#else res = call_function(&sp, oparg, NULL); -#endif stack_pointer = sp; PUSH(res); if (res == NULL) { @@ -3423,11 +3279,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) assert(PyTuple_CheckExact(names) && PyTuple_GET_SIZE(names) <= oparg); PCALL(PCALL_ALL); sp = stack_pointer; -#ifdef WITH_TSC - res = call_function(&sp, oparg, names, &intr0, &intr1); -#else res = call_function(&sp, oparg, names); -#endif stack_pointer = sp; PUSH(res); Py_DECREF(names); @@ -4922,11 +4774,7 @@ if (tstate->use_tracing && tstate->c_profilefunc) { \ } static PyObject * -call_function(PyObject ***pp_stack, Py_ssize_t oparg, PyObject *kwnames -#ifdef WITH_TSC - , uint64* pintr0, uint64* pintr1 -#endif - ) +call_function(PyObject ***pp_stack, Py_ssize_t oparg, PyObject *kwnames) { PyObject **pfunc = (*pp_stack) - oparg - 1; PyObject *func = *pfunc; diff --git a/Python/pystate.c b/Python/pystate.c index a0a8c97008..65c244e6f7 100644 --- a/Python/pystate.c +++ b/Python/pystate.c @@ -98,9 +98,6 @@ PyInterpreterState_New(void) #else interp->dlopenflags = RTLD_LAZY; #endif -#endif -#ifdef WITH_TSC - interp->tscdump = 0; #endif HEAD_LOCK(); diff --git a/Python/sysmodule.c b/Python/sysmodule.c index 44191fcb47..b7afe93ca5 100644 --- a/Python/sysmodule.c +++ b/Python/sysmodule.c @@ -609,33 +609,6 @@ PyDoc_STRVAR(getswitchinterval_doc, #endif /* WITH_THREAD */ -#ifdef WITH_TSC -static PyObject * -sys_settscdump(PyObject *self, PyObject *args) -{ - int bool; - PyThreadState *tstate = PyThreadState_Get(); - - if (!PyArg_ParseTuple(args, "i:settscdump", &bool)) - return NULL; - if (bool) - tstate->interp->tscdump = 1; - else - tstate->interp->tscdump = 0; - Py_INCREF(Py_None); - return Py_None; - -} - -PyDoc_STRVAR(settscdump_doc, -"settscdump(bool)\n\ -\n\ -If true, tell the Python interpreter to dump VM measurements to\n\ -stderr. If false, turn off dump. The measurements are based on the\n\ -processor's time-stamp counter." -); -#endif /* TSC */ - static PyObject * sys_setrecursionlimit(PyObject *self, PyObject *args) { @@ -1410,9 +1383,6 @@ static PyMethodDef sys_methods[] = { {"getprofile", sys_getprofile, METH_NOARGS, getprofile_doc}, {"setrecursionlimit", sys_setrecursionlimit, METH_VARARGS, setrecursionlimit_doc}, -#ifdef WITH_TSC - {"settscdump", sys_settscdump, METH_VARARGS, settscdump_doc}, -#endif {"settrace", sys_settrace, METH_O, settrace_doc}, {"gettrace", sys_gettrace, METH_NOARGS, gettrace_doc}, {"call_tracing", sys_call_tracing, METH_VARARGS, call_tracing_doc}, -- cgit v1.2.1 From f261e8a43d5683fb84faec07d5e3ad4d6fb5b95f Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Fri, 9 Sep 2016 15:02:11 -0700 Subject: remove READ_TIMESTAMP macro --- Python/ceval.c | 3 --- 1 file changed, 3 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 2d42fe28ee..ac482e137b 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -1213,9 +1213,6 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) } #endif - /* Main switch on opcode */ - READ_TIMESTAMP(inst0); - switch (opcode) { /* BEWARE! -- cgit v1.2.1 From 6f1dfed100c862df022ddcdc11e82f9cba9fbaec Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Fri, 9 Sep 2016 15:03:18 -0700 Subject: remove more READ_TIMESTAMP --- Python/ceval.c | 12 ------------ 1 file changed, 12 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index ac482e137b..d3bd8b569b 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -2823,11 +2823,9 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) PyObject *fromlist = POP(); PyObject *level = TOP(); PyObject *res; - READ_TIMESTAMP(intr0); res = import_name(f, name, fromlist, level); Py_DECREF(level); Py_DECREF(fromlist); - READ_TIMESTAMP(intr1); SET_TOP(res); if (res == NULL) goto error; @@ -2846,9 +2844,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) "no locals found during 'import *'"); goto error; } - READ_TIMESTAMP(intr0); err = import_all_from(locals, from); - READ_TIMESTAMP(intr1); PyFrame_LocalsToFast(f, 0); Py_DECREF(from); if (err != 0) @@ -2860,9 +2856,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) PyObject *name = GETITEM(names, oparg); PyObject *from = TOP(); PyObject *res; - READ_TIMESTAMP(intr0); res = import_from(from, name); - READ_TIMESTAMP(intr1); PUSH(res); if (res == NULL) goto error; @@ -3298,9 +3292,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) assert(PyTuple_CheckExact(callargs)); func = TOP(); - READ_TIMESTAMP(intr0); result = do_call_core(func, callargs, kwargs); - READ_TIMESTAMP(intr1); Py_DECREF(func); Py_DECREF(callargs); Py_XDECREF(kwargs); @@ -3451,7 +3443,6 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) assert(0); error: - READ_TIMESTAMP(inst1); assert(why == WHY_NOT); why = WHY_EXCEPTION; @@ -3555,7 +3546,6 @@ fast_block_end: if (why != WHY_NOT) break; - READ_TIMESTAMP(loop1); assert(!PyErr_Occurred()); @@ -4809,14 +4799,12 @@ call_function(PyObject ***pp_stack, Py_ssize_t oparg, PyObject *kwnames) stack = (*pp_stack) - nargs - nkwargs; - READ_TIMESTAMP(*pintr0); if (PyFunction_Check(func)) { x = fast_function(func, stack, nargs, kwnames); } else { x = _PyObject_FastCallKeywords(func, stack, nargs, kwnames); } - READ_TIMESTAMP(*pintr1); Py_DECREF(func); } -- cgit v1.2.1 From 7d9e9f40d8903147693be8d2bbb4a129005ca49e Mon Sep 17 00:00:00 2001 From: ?ukasz Langa Date: Fri, 9 Sep 2016 17:37:37 -0700 Subject: DTrace support: function calls, GC activity, line execution Tested on macOS 10.11 dtrace, Ubuntu 16.04 SystemTap, and libbcc. Largely based by an initial patch by Jes?s Cea Avi?n, with some influence from Dave Malcolm's SystemTap patch and Nikhil Benesch's unification patch. Things deliberately left out for simplicity: - ustack helpers, I have no way of testing them at this point since they are Solaris-specific - PyFrameObject * in function__entry/function__return, this is SystemTap-specific - SPARC support - dynamic tracing - sys module dtrace facility introspection All of those might be added later. --- Python/ceval.c | 78 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 76 insertions(+), 2 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index d3bd8b569b..a396e81ef7 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -15,6 +15,7 @@ #include "dictobject.h" #include "frameobject.h" #include "opcode.h" +#include "pydtrace.h" #include "setobject.h" #include "structmember.h" @@ -50,6 +51,9 @@ static void call_exc_trace(Py_tracefunc, PyObject *, PyThreadState *, PyFrameObject *); static int maybe_call_line_trace(Py_tracefunc, PyObject *, PyThreadState *, PyFrameObject *, int *, int *, int *); +static void maybe_dtrace_line(PyFrameObject *, int *, int *, int *); +static void dtrace_function_entry(PyFrameObject *); +static void dtrace_function_return(PyFrameObject *); static PyObject * cmp_outcome(int, PyObject *, PyObject *); static PyObject * import_name(PyFrameObject *, PyObject *, PyObject *, PyObject *); @@ -822,7 +826,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) #ifdef LLTRACE #define FAST_DISPATCH() \ { \ - if (!lltrace && !_Py_TracingPossible) { \ + if (!lltrace && !_Py_TracingPossible && !PyDTrace_LINE_ENABLED()) { \ f->f_lasti = INSTR_OFFSET(); \ NEXTOPARG(); \ goto *opcode_targets[opcode]; \ @@ -832,7 +836,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) #else #define FAST_DISPATCH() \ { \ - if (!_Py_TracingPossible) { \ + if (!_Py_TracingPossible && !PyDTrace_LINE_ENABLED()) { \ f->f_lasti = INSTR_OFFSET(); \ NEXTOPARG(); \ goto *opcode_targets[opcode]; \ @@ -1042,6 +1046,9 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) } } + if (PyDTrace_FUNCTION_ENTRY_ENABLED()) + dtrace_function_entry(f); + co = f->f_code; names = co->co_names; consts = co->co_consts; @@ -1162,6 +1169,9 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) fast_next_opcode: f->f_lasti = INSTR_OFFSET(); + if (PyDTrace_LINE_ENABLED()) + maybe_dtrace_line(f, &instr_lb, &instr_ub, &instr_prev); + /* line-by-line tracing support */ if (_Py_TracingPossible && @@ -3620,6 +3630,8 @@ fast_yield: /* pop frame */ exit_eval_frame: + if (PyDTrace_FUNCTION_RETURN_ENABLED()) + dtrace_function_return(f); Py_LeaveRecursiveCall(); f->f_executing = 0; tstate->frame = f->f_back; @@ -5415,3 +5427,65 @@ _PyEval_RequestCodeExtraIndex(freefunc free) tstate->co_extra_freefuncs[new_index] = free; return new_index; } + +static void +dtrace_function_entry(PyFrameObject *f) +{ + char* filename; + char* funcname; + int lineno; + + filename = PyUnicode_AsUTF8(f->f_code->co_filename); + funcname = PyUnicode_AsUTF8(f->f_code->co_name); + lineno = PyCode_Addr2Line(f->f_code, f->f_lasti); + + PyDTrace_FUNCTION_ENTRY(filename, funcname, lineno); +} + +static void +dtrace_function_return(PyFrameObject *f) +{ + char* filename; + char* funcname; + int lineno; + + filename = PyUnicode_AsUTF8(f->f_code->co_filename); + funcname = PyUnicode_AsUTF8(f->f_code->co_name); + lineno = PyCode_Addr2Line(f->f_code, f->f_lasti); + + PyDTrace_FUNCTION_RETURN(filename, funcname, lineno); +} + +/* DTrace equivalent of maybe_call_line_trace. */ +static void +maybe_dtrace_line(PyFrameObject *frame, + int *instr_lb, int *instr_ub, int *instr_prev) +{ + int line = frame->f_lineno; + char *co_filename, *co_name; + + /* If the last instruction executed isn't in the current + instruction window, reset the window. + */ + if (frame->f_lasti < *instr_lb || frame->f_lasti >= *instr_ub) { + PyAddrPair bounds; + line = _PyCode_CheckLineNumber(frame->f_code, frame->f_lasti, + &bounds); + *instr_lb = bounds.ap_lower; + *instr_ub = bounds.ap_upper; + } + /* If the last instruction falls at the start of a line or if + it represents a jump backwards, update the frame's line + number and call the trace function. */ + if (frame->f_lasti == *instr_lb || frame->f_lasti < *instr_prev) { + frame->f_lineno = line; + co_filename = PyUnicode_AsUTF8(frame->f_code->co_filename); + if (!co_filename) + co_filename = "?"; + co_name = PyUnicode_AsUTF8(frame->f_code->co_name); + if (!co_name) + co_name = "?"; + PyDTrace_LINE(co_filename, co_name, line); + } + *instr_prev = frame->f_lasti; +} -- cgit v1.2.1 From 66bb1f875a7615c255128fb1e2fd6e9e50e4cefa Mon Sep 17 00:00:00 2001 From: "Eric V. Smith" Date: Fri, 9 Sep 2016 21:56:20 -0400 Subject: Issue 27948: Allow backslashes in the literal string portion of f-strings, but not in the expressions. Also, require expressions to begin and end with literal curly braces. --- Python/ast.c | 484 ++++++++++++++++++++++++++--------------------------------- 1 file changed, 211 insertions(+), 273 deletions(-) (limited to 'Python') diff --git a/Python/ast.c b/Python/ast.c index dcaa697a38..bc9b43e967 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -4155,141 +4155,74 @@ decode_unicode_with_escapes(struct compiling *c, const char *s, size_t len) return v; } -/* Compile this expression in to an expr_ty. We know that we can - temporarily modify the character before the start of this string - (it's '{'), and we know we can temporarily modify the character - after this string (it is a '}'). Leverage this to create a - sub-string with enough room for us to add parens around the - expression. This is to allow strings with embedded newlines, for - example. */ +/* Compile this expression in to an expr_ty. Add parens around the + expression, in order to allow leading spaces in the expression. */ static expr_ty -fstring_compile_expr(PyObject *str, Py_ssize_t expr_start, - Py_ssize_t expr_end, struct compiling *c, const node *n) +fstring_compile_expr(const char *expr_start, const char *expr_end, + struct compiling *c, const node *n) { + int all_whitespace = 1; + int kind; + void *data; PyCompilerFlags cf; mod_ty mod; - char *utf_expr; + char *str; + PyObject *o; + Py_ssize_t len; Py_ssize_t i; - Py_UCS4 end_ch = -1; - int all_whitespace; - PyObject *sub = NULL; - /* We only decref sub if we allocated it with a PyUnicode_Substring. - decref_sub records that. */ - int decref_sub = 0; - - assert(str); - - assert(expr_start >= 0 && expr_start < PyUnicode_GET_LENGTH(str)); - assert(expr_end >= 0 && expr_end < PyUnicode_GET_LENGTH(str)); assert(expr_end >= expr_start); - - /* There has to be at least one character on each side of the - expression inside this str. This will have been caught before - we're called. */ - assert(expr_start >= 1); - assert(expr_end <= PyUnicode_GET_LENGTH(str)-1); - - /* If the substring is all whitespace, it's an error. We need to - catch this here, and not when we call PyParser_ASTFromString, - because turning the expression '' in to '()' would go from - being invalid to valid. */ - /* Note that this code says an empty string is all - whitespace. That's important. There's a test for it: f'{}'. */ - all_whitespace = 1; - for (i = expr_start; i < expr_end; i++) { - if (!Py_UNICODE_ISSPACE(PyUnicode_READ_CHAR(str, i))) { + assert(*(expr_start-1) == '{'); + assert(*expr_end == '}' || *expr_end == '!' || *expr_end == ':'); + + /* We know there are no escapes here, because backslashes are not allowed, + and we know it's utf-8 encoded (per PEP 263). But, in order to check + that each char is not whitespace, we need to decode it to unicode. + Which is unfortunate, but such is life. */ + + /* If the substring is all whitespace, it's an error. We need to catch + this here, and not when we call PyParser_ASTFromString, because turning + the expression '' in to '()' would go from being invalid to valid. */ + /* Note that this code says an empty string is all whitespace. That's + important. There's a test for it: f'{}'. */ + o = PyUnicode_DecodeUTF8(expr_start, expr_end-expr_start, NULL); + if (o == NULL) + return NULL; + len = PyUnicode_GET_LENGTH(o); + kind = PyUnicode_KIND(o); + data = PyUnicode_DATA(o); + for (i = 0; i < len; i++) { + if (!Py_UNICODE_ISSPACE(PyUnicode_READ(kind, data, i))) { all_whitespace = 0; break; } } + Py_DECREF(o); if (all_whitespace) { ast_error(c, n, "f-string: empty expression not allowed"); - goto error; - } - - /* If the substring will be the entire source string, we can't use - PyUnicode_Substring, since it will return another reference to - our original string. Because we're modifying the string in - place, that's a no-no. So, detect that case and just use our - string directly. */ - - if (expr_start-1 == 0 && expr_end+1 == PyUnicode_GET_LENGTH(str)) { - /* If str is well formed, then the first and last chars must - be '{' and '}', respectively. But, if there's a syntax - error, for example f'{3!', then the last char won't be a - closing brace. So, remember the last character we read in - order for us to restore it. */ - end_ch = PyUnicode_ReadChar(str, expr_end-expr_start+1); - assert(end_ch != (Py_UCS4)-1); - - /* In all cases, however, start_ch must be '{'. */ - assert(PyUnicode_ReadChar(str, 0) == '{'); - - sub = str; - } else { - /* Create a substring object. It must be a new object, with - refcount==1, so that we can modify it. */ - sub = PyUnicode_Substring(str, expr_start-1, expr_end+1); - if (!sub) - goto error; - assert(sub != str); /* Make sure it's a new string. */ - decref_sub = 1; /* Remember to deallocate it on error. */ + return NULL; } - /* Put () around the expression. */ - if (PyUnicode_WriteChar(sub, 0, '(') < 0 || - PyUnicode_WriteChar(sub, expr_end-expr_start+1, ')') < 0) - goto error; + /* Reuse len to be the length of the utf-8 input string. */ + len = expr_end - expr_start; + /* Allocate 3 extra bytes: open paren, close paren, null byte. */ + str = PyMem_RawMalloc(len + 3); + if (str == NULL) + return NULL; - /* No need to free the memory returned here: it's managed by the - string. */ - utf_expr = PyUnicode_AsUTF8(sub); - if (!utf_expr) - goto error; + str[0] = '('; + memcpy(str+1, expr_start, len); + str[len+1] = ')'; + str[len+2] = 0; cf.cf_flags = PyCF_ONLY_AST; - mod = PyParser_ASTFromString(utf_expr, "", + mod = PyParser_ASTFromString(str, "", Py_eval_input, &cf, c->c_arena); + PyMem_RawFree(str); if (!mod) - goto error; - - if (sub != str) - /* Clear instead of decref in case we ever modify this code to change - the error handling: this is safest because the XDECREF won't try - and decref it when it's NULL. */ - /* No need to restore the chars in sub, since we know it's getting - ready to get deleted (refcount must be 1, since we got a new string - in PyUnicode_Substring). */ - Py_CLEAR(sub); - else { - assert(!decref_sub); - assert(end_ch != (Py_UCS4)-1); - /* Restore str, which we earlier modified directly. */ - if (PyUnicode_WriteChar(str, 0, '{') < 0 || - PyUnicode_WriteChar(str, expr_end-expr_start+1, end_ch) < 0) - goto error; - } + return NULL; return mod->v.Expression.body; - -error: - /* Only decref sub if it was the result of a call to SubString. */ - if (decref_sub) - Py_XDECREF(sub); - - if (end_ch != (Py_UCS4)-1) { - /* We only get here if we modified str. Make sure that's the - case: str will be equal to sub. */ - if (str == sub) { - /* Don't check the error, because we've already set the - error state (that's why we're in 'error', after - all). */ - PyUnicode_WriteChar(str, 0, '{'); - PyUnicode_WriteChar(str, expr_end-expr_start+1, end_ch); - } - } - return NULL; } /* Return -1 on error. @@ -4301,35 +4234,38 @@ error: doubled braces. */ static int -fstring_find_literal(PyObject *str, Py_ssize_t *ofs, PyObject **literal, - int recurse_lvl, struct compiling *c, const node *n) +fstring_find_literal(const char **str, const char *end, int raw, + PyObject **literal, int recurse_lvl, + struct compiling *c, const node *n) { - /* Get any literal string. It ends when we hit an un-doubled brace, or the - end of the string. */ + /* Get any literal string. It ends when we hit an un-doubled left + brace (which isn't part of a unicode name escape such as + "\N{EULER CONSTANT}"), or the end of the string. */ - Py_ssize_t literal_start, literal_end; + const char *literal_start = *str; + const char *literal_end; + int in_named_escape = 0; int result = 0; - enum PyUnicode_Kind kind = PyUnicode_KIND(str); - void *data = PyUnicode_DATA(str); - assert(*literal == NULL); - - literal_start = *ofs; - for (; *ofs < PyUnicode_GET_LENGTH(str); *ofs += 1) { - Py_UCS4 ch = PyUnicode_READ(kind, data, *ofs); - if (ch == '{' || ch == '}') { + for (; *str < end; (*str)++) { + char ch = **str; + if (!in_named_escape && ch == '{' && (*str)-literal_start >= 2 && + *(*str-2) == '\\' && *(*str-1) == 'N') { + in_named_escape = 1; + } else if (in_named_escape && ch == '}') { + in_named_escape = 0; + } else if (ch == '{' || ch == '}') { /* Check for doubled braces, but only at the top level. If we checked at every level, then f'{0:{3}}' would fail with the two closing braces. */ if (recurse_lvl == 0) { - if (*ofs + 1 < PyUnicode_GET_LENGTH(str) && - PyUnicode_READ(kind, data, *ofs + 1) == ch) { + if (*str+1 < end && *(*str+1) == ch) { /* We're going to tell the caller that the literal ends here, but that they should continue scanning. But also skip over the second brace when we resume scanning. */ - literal_end = *ofs + 1; - *ofs += 2; + literal_end = *str+1; + *str += 2; result = 1; goto done; } @@ -4341,34 +4277,36 @@ fstring_find_literal(PyObject *str, Py_ssize_t *ofs, PyObject **literal, return -1; } } - /* We're either at a '{', which means we're starting another expression; or a '}', which means we're at the end of this f-string (for a nested format_spec). */ break; } } - literal_end = *ofs; - - assert(*ofs == PyUnicode_GET_LENGTH(str) || - PyUnicode_READ(kind, data, *ofs) == '{' || - PyUnicode_READ(kind, data, *ofs) == '}'); + literal_end = *str; + assert(*str <= end); + assert(*str == end || **str == '{' || **str == '}'); done: if (literal_start != literal_end) { - *literal = PyUnicode_Substring(str, literal_start, literal_end); + if (raw) + *literal = PyUnicode_DecodeUTF8Stateful(literal_start, + literal_end-literal_start, + NULL, NULL); + else + *literal = decode_unicode_with_escapes(c, literal_start, + literal_end-literal_start); if (!*literal) return -1; } - return result; } /* Forward declaration because parsing is recursive. */ static expr_ty -fstring_parse(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, +fstring_parse(const char **str, const char *end, int raw, int recurse_lvl, struct compiling *c, const node *n); -/* Parse the f-string str, starting at ofs. We know *ofs starts an +/* Parse the f-string at *str, ending at end. We know *str starts an expression (so it must be a '{'). Returns the FormattedValue node, which includes the expression, conversion character, and format_spec expression. @@ -4379,23 +4317,20 @@ fstring_parse(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, find the end of all valid ones. Any errors inside the expression will be caught when we parse it later. */ static int -fstring_find_expr(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, +fstring_find_expr(const char **str, const char *end, int raw, int recurse_lvl, expr_ty *expression, struct compiling *c, const node *n) { /* Return -1 on error, else 0. */ - Py_ssize_t expr_start; - Py_ssize_t expr_end; + const char *expr_start; + const char *expr_end; expr_ty simple_expression; expr_ty format_spec = NULL; /* Optional format specifier. */ - Py_UCS4 conversion = -1; /* The conversion char. -1 if not specified. */ - - enum PyUnicode_Kind kind = PyUnicode_KIND(str); - void *data = PyUnicode_DATA(str); + char conversion = -1; /* The conversion char. -1 if not specified. */ /* 0 if we're not in a string, else the quote char we're trying to match (single or double quote). */ - Py_UCS4 quote_char = 0; + char quote_char = 0; /* If we're inside a string, 1=normal, 3=triple-quoted. */ int string_type = 0; @@ -4412,22 +4347,30 @@ fstring_find_expr(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, /* The first char must be a left brace, or we wouldn't have gotten here. Skip over it. */ - assert(PyUnicode_READ(kind, data, *ofs) == '{'); - *ofs += 1; + assert(**str == '{'); + *str += 1; - expr_start = *ofs; - for (; *ofs < PyUnicode_GET_LENGTH(str); *ofs += 1) { - Py_UCS4 ch; + expr_start = *str; + for (; *str < end; (*str)++) { + char ch; /* Loop invariants. */ assert(nested_depth >= 0); - assert(*ofs >= expr_start); + assert(*str >= expr_start && *str < end); if (quote_char) assert(string_type == 1 || string_type == 3); else assert(string_type == 0); - ch = PyUnicode_READ(kind, data, *ofs); + ch = **str; + /* Nowhere inside an expression is a backslash allowed. */ + if (ch == '\\') { + /* Error: can't include a backslash character, inside + parens or strings or not. */ + ast_error(c, n, "f-string expression part " + "cannot include a backslash"); + return -1; + } if (quote_char) { /* We're inside a string. See if we're at the end. */ /* This code needs to implement the same non-error logic @@ -4443,11 +4386,9 @@ fstring_find_expr(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, /* Does this match the string_type (single or triple quoted)? */ if (string_type == 3) { - if (*ofs+2 < PyUnicode_GET_LENGTH(str) && - PyUnicode_READ(kind, data, *ofs+1) == ch && - PyUnicode_READ(kind, data, *ofs+2) == ch) { + if (*str+2 < end && *(*str+1) == ch && *(*str+2) == ch) { /* We're at the end of a triple quoted string. */ - *ofs += 2; + *str += 2; string_type = 0; quote_char = 0; continue; @@ -4459,21 +4400,11 @@ fstring_find_expr(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, continue; } } - /* We're inside a string, and not finished with the - string. If this is a backslash, skip the next char (it - might be an end quote that needs skipping). Otherwise, - just consume this character normally. */ - if (ch == '\\' && *ofs+1 < PyUnicode_GET_LENGTH(str)) { - /* Just skip the next char, whatever it is. */ - *ofs += 1; - } } else if (ch == '\'' || ch == '"') { /* Is this a triple quoted string? */ - if (*ofs+2 < PyUnicode_GET_LENGTH(str) && - PyUnicode_READ(kind, data, *ofs+1) == ch && - PyUnicode_READ(kind, data, *ofs+2) == ch) { + if (*str+2 < end && *(*str+1) == ch && *(*str+2) == ch) { string_type = 3; - *ofs += 2; + *str += 2; } else { /* Start of a normal string. */ string_type = 1; @@ -4495,18 +4426,17 @@ fstring_find_expr(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, /* First, test for the special case of "!=". Since '=' is not an allowed conversion character, nothing is lost in this test. */ - if (ch == '!' && *ofs+1 < PyUnicode_GET_LENGTH(str) && - PyUnicode_READ(kind, data, *ofs+1) == '=') + if (ch == '!' && *str+1 < end && *(*str+1) == '=') { /* This isn't a conversion character, just continue. */ continue; - + } /* Normal way out of this loop. */ break; } else { /* Just consume this char and loop around. */ } } - expr_end = *ofs; + expr_end = *str; /* If we leave this loop in a string or with mismatched parens, we don't care. We'll get a syntax error when compiling the expression. But, we can produce a better error message, so @@ -4520,24 +4450,24 @@ fstring_find_expr(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, return -1; } - if (*ofs >= PyUnicode_GET_LENGTH(str)) + if (*str >= end) goto unexpected_end_of_string; /* Compile the expression as soon as possible, so we show errors related to the expression before errors related to the conversion or format_spec. */ - simple_expression = fstring_compile_expr(str, expr_start, expr_end, c, n); + simple_expression = fstring_compile_expr(expr_start, expr_end, c, n); if (!simple_expression) return -1; /* Check for a conversion char, if present. */ - if (PyUnicode_READ(kind, data, *ofs) == '!') { - *ofs += 1; - if (*ofs >= PyUnicode_GET_LENGTH(str)) + if (**str == '!') { + *str += 1; + if (*str >= end) goto unexpected_end_of_string; - conversion = PyUnicode_READ(kind, data, *ofs); - *ofs += 1; + conversion = **str; + *str += 1; /* Validate the conversion. */ if (!(conversion == 's' || conversion == 'r' @@ -4549,30 +4479,29 @@ fstring_find_expr(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, } /* Check for the format spec, if present. */ - if (*ofs >= PyUnicode_GET_LENGTH(str)) + if (*str >= end) goto unexpected_end_of_string; - if (PyUnicode_READ(kind, data, *ofs) == ':') { - *ofs += 1; - if (*ofs >= PyUnicode_GET_LENGTH(str)) + if (**str == ':') { + *str += 1; + if (*str >= end) goto unexpected_end_of_string; /* Parse the format spec. */ - format_spec = fstring_parse(str, ofs, recurse_lvl+1, c, n); + format_spec = fstring_parse(str, end, raw, recurse_lvl+1, c, n); if (!format_spec) return -1; } - if (*ofs >= PyUnicode_GET_LENGTH(str) || - PyUnicode_READ(kind, data, *ofs) != '}') + if (*str >= end || **str != '}') goto unexpected_end_of_string; /* We're at a right brace. Consume it. */ - assert(*ofs < PyUnicode_GET_LENGTH(str)); - assert(PyUnicode_READ(kind, data, *ofs) == '}'); - *ofs += 1; + assert(*str < end); + assert(**str == '}'); + *str += 1; - /* And now create the FormattedValue node that represents this entire - expression with the conversion and format spec. */ + /* And now create the FormattedValue node that represents this + entire expression with the conversion and format spec. */ *expression = FormattedValue(simple_expression, (int)conversion, format_spec, LINENO(n), n->n_col_offset, c->c_arena); @@ -4610,8 +4539,9 @@ unexpected_end_of_string: we're finished. */ static int -fstring_find_literal_and_expr(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, - PyObject **literal, expr_ty *expression, +fstring_find_literal_and_expr(const char **str, const char *end, int raw, + int recurse_lvl, PyObject **literal, + expr_ty *expression, struct compiling *c, const node *n) { int result; @@ -4619,7 +4549,7 @@ fstring_find_literal_and_expr(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, assert(*literal == NULL && *expression == NULL); /* Get any literal string. */ - result = fstring_find_literal(str, ofs, literal, recurse_lvl, c, n); + result = fstring_find_literal(str, end, raw, literal, recurse_lvl, c, n); if (result < 0) goto error; @@ -4629,10 +4559,7 @@ fstring_find_literal_and_expr(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, /* We have a literal, but don't look at the expression. */ return 1; - assert(*ofs <= PyUnicode_GET_LENGTH(str)); - - if (*ofs >= PyUnicode_GET_LENGTH(str) || - PyUnicode_READ_CHAR(str, *ofs) == '}') + if (*str >= end || **str == '}') /* We're at the end of the string or the end of a nested f-string: no expression. The top-level error case where we expect to be at the end of the string but we're at a '}' is @@ -4640,10 +4567,9 @@ fstring_find_literal_and_expr(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, return 0; /* We must now be the start of an expression, on a '{'. */ - assert(*ofs < PyUnicode_GET_LENGTH(str) && - PyUnicode_READ_CHAR(str, *ofs) == '{'); + assert(**str == '{'); - if (fstring_find_expr(str, ofs, recurse_lvl, expression, c, n) < 0) + if (fstring_find_expr(str, end, raw, recurse_lvl, expression, c, n) < 0) goto error; return 0; @@ -4852,13 +4778,11 @@ FstringParser_ConcatAndDel(FstringParser *state, PyObject *str) return 0; } -/* Parse an f-string. The f-string is in str, starting at ofs, with no 'f' - or quotes. str is not decref'd, since we don't know if it's used elsewhere. - And if we're only looking at a part of a string, then decref'ing is - definitely not the right thing to do! */ +/* Parse an f-string. The f-string is in *str to end, with no + 'f' or quotes. */ static int -FstringParser_ConcatFstring(FstringParser *state, PyObject *str, - Py_ssize_t *ofs, int recurse_lvl, +FstringParser_ConcatFstring(FstringParser *state, const char **str, + const char *end, int raw, int recurse_lvl, struct compiling *c, const node *n) { FstringParser_check_invariants(state); @@ -4872,7 +4796,7 @@ FstringParser_ConcatFstring(FstringParser *state, PyObject *str, expression, literal will be NULL. If we're at the end of the f-string, expression will be NULL (unless result == 1, see below). */ - int result = fstring_find_literal_and_expr(str, ofs, recurse_lvl, + int result = fstring_find_literal_and_expr(str, end, raw, recurse_lvl, &literal, &expression, c, n); if (result < 0) @@ -4925,16 +4849,14 @@ FstringParser_ConcatFstring(FstringParser *state, PyObject *str, return -1; } - assert(*ofs <= PyUnicode_GET_LENGTH(str)); - /* If recurse_lvl is zero, then we must be at the end of the string. Otherwise, we must be at a right brace. */ - if (recurse_lvl == 0 && *ofs < PyUnicode_GET_LENGTH(str)) { + if (recurse_lvl == 0 && *str < end-1) { ast_error(c, n, "f-string: unexpected end of string"); return -1; } - if (recurse_lvl != 0 && PyUnicode_READ_CHAR(str, *ofs) != '}') { + if (recurse_lvl != 0 && **str != '}') { ast_error(c, n, "f-string: expecting '}'"); return -1; } @@ -4991,17 +4913,17 @@ error: return NULL; } -/* Given an f-string (with no 'f' or quotes) that's in str starting at - ofs, parse it into an expr_ty. Return NULL on error. Does not - decref str. */ +/* Given an f-string (with no 'f' or quotes) that's in *str and ends + at end, parse it into an expr_ty. Return NULL on error. Adjust + str to point past the parsed portion. */ static expr_ty -fstring_parse(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, +fstring_parse(const char **str, const char *end, int raw, int recurse_lvl, struct compiling *c, const node *n) { FstringParser state; FstringParser_Init(&state); - if (FstringParser_ConcatFstring(&state, str, ofs, recurse_lvl, + if (FstringParser_ConcatFstring(&state, str, end, raw, recurse_lvl, c, n) < 0) { FstringParser_Dealloc(&state); return NULL; @@ -5012,19 +4934,25 @@ fstring_parse(PyObject *str, Py_ssize_t *ofs, int recurse_lvl, /* n is a Python string literal, including the bracketing quote characters, and r, b, u, &/or f prefixes (if any), and embedded - escape sequences (if any). parsestr parses it, and returns the + escape sequences (if any). parsestr parses it, and sets *result to decoded Python string object. If the string is an f-string, set - *fmode and return the unparsed string object. + *fstr and *fstrlen to the unparsed string object. Return 0 if no + errors occurred. */ -static PyObject * -parsestr(struct compiling *c, const node *n, int *bytesmode, int *fmode) +static int +parsestr(struct compiling *c, const node *n, int *bytesmode, int *rawmode, + PyObject **result, const char **fstr, Py_ssize_t *fstrlen) { size_t len; const char *s = STR(n); int quote = Py_CHARMASK(*s); - int rawmode = 0; + int fmode = 0; + *bytesmode = 0; + *rawmode = 0; + *result = NULL; + *fstr = NULL; if (Py_ISALPHA(quote)) { - while (!*bytesmode || !rawmode) { + while (!*bytesmode || !*rawmode) { if (quote == 'b' || quote == 'B') { quote = *++s; *bytesmode = 1; @@ -5034,24 +4962,24 @@ parsestr(struct compiling *c, const node *n, int *bytesmode, int *fmode) } else if (quote == 'r' || quote == 'R') { quote = *++s; - rawmode = 1; + *rawmode = 1; } else if (quote == 'f' || quote == 'F') { quote = *++s; - *fmode = 1; + fmode = 1; } else { break; } } } - if (*fmode && *bytesmode) { + if (fmode && *bytesmode) { PyErr_BadInternalCall(); - return NULL; + return -1; } if (quote != '\'' && quote != '\"') { PyErr_BadInternalCall(); - return NULL; + return -1; } /* Skip the leading quote char. */ s++; @@ -5059,12 +4987,12 @@ parsestr(struct compiling *c, const node *n, int *bytesmode, int *fmode) if (len > INT_MAX) { PyErr_SetString(PyExc_OverflowError, "string to parse is too long"); - return NULL; + return -1; } if (s[--len] != quote) { /* Last quote char must match the first. */ PyErr_BadInternalCall(); - return NULL; + return -1; } if (len >= 4 && s[0] == quote && s[1] == quote) { /* A triple quoted string. We've already skipped one quote at @@ -5075,21 +5003,21 @@ parsestr(struct compiling *c, const node *n, int *bytesmode, int *fmode) /* And check that the last two match. */ if (s[--len] != quote || s[--len] != quote) { PyErr_BadInternalCall(); - return NULL; + return -1; } } - /* Temporary hack: if this is an f-string, no backslashes are allowed. */ - /* See issue 27921. */ - if (*fmode && strchr(s, '\\') != NULL) { - /* Syntax error. At a later date fix this so it only checks for - backslashes within the braces. */ - ast_error(c, n, "backslashes not allowed in f-strings"); - return NULL; + if (fmode) { + /* Just return the bytes. The caller will parse the resulting + string. */ + *fstr = s; + *fstrlen = len; + return 0; } + /* Not an f-string. */ /* Avoid invoking escape decoding routines if possible. */ - rawmode = rawmode || strchr(s, '\\') == NULL; + *rawmode = *rawmode || strchr(s, '\\') == NULL; if (*bytesmode) { /* Disallow non-ASCII characters. */ const char *ch; @@ -5097,19 +5025,20 @@ parsestr(struct compiling *c, const node *n, int *bytesmode, int *fmode) if (Py_CHARMASK(*ch) >= 0x80) { ast_error(c, n, "bytes can only contain ASCII " "literal characters."); - return NULL; + return -1; } } - if (rawmode) - return PyBytes_FromStringAndSize(s, len); + if (*rawmode) + *result = PyBytes_FromStringAndSize(s, len); else - return PyBytes_DecodeEscape(s, len, NULL, /* ignored */ 0, NULL); + *result = PyBytes_DecodeEscape(s, len, NULL, /* ignored */ 0, NULL); } else { - if (rawmode) - return PyUnicode_DecodeUTF8Stateful(s, len, NULL, NULL); + if (*rawmode) + *result = PyUnicode_DecodeUTF8Stateful(s, len, NULL, NULL); else - return decode_unicode_with_escapes(c, s, len); + *result = decode_unicode_with_escapes(c, s, len); } + return *result == NULL ? -1 : 0; } /* Accepts a STRING+ atom, and produces an expr_ty node. Run through @@ -5131,13 +5060,15 @@ parsestrplus(struct compiling *c, const node *n) FstringParser_Init(&state); for (i = 0; i < NCH(n); i++) { - int this_bytesmode = 0; - int this_fmode = 0; + int this_bytesmode; + int this_rawmode; PyObject *s; + const char *fstr; + Py_ssize_t fstrlen = -1; /* Silence a compiler warning. */ REQ(CHILD(n, i), STRING); - s = parsestr(c, CHILD(n, i), &this_bytesmode, &this_fmode); - if (!s) + if (parsestr(c, CHILD(n, i), &this_bytesmode, &this_rawmode, &s, + &fstr, &fstrlen) != 0) goto error; /* Check that we're not mixing bytes with unicode. */ @@ -5148,29 +5079,36 @@ parsestrplus(struct compiling *c, const node *n) } bytesmode = this_bytesmode; - assert(bytesmode ? PyBytes_CheckExact(s) : PyUnicode_CheckExact(s)); - - if (bytesmode) { - /* For bytes, concat as we go. */ - if (i == 0) { - /* First time, just remember this value. */ - bytes_str = s; - } else { - PyBytes_ConcatAndDel(&bytes_str, s); - if (!bytes_str) - goto error; - } - } else if (this_fmode) { - /* This is an f-string. Concatenate and decref it. */ - Py_ssize_t ofs = 0; - int result = FstringParser_ConcatFstring(&state, s, &ofs, 0, c, n); - Py_DECREF(s); + if (fstr != NULL) { + int result; + assert(s == NULL && !bytesmode); + /* This is an f-string. Parse and concatenate it. */ + result = FstringParser_ConcatFstring(&state, &fstr, fstr+fstrlen, + this_rawmode, 0, c, n); if (result < 0) goto error; } else { - /* This is a regular string. Concatenate it. */ - if (FstringParser_ConcatAndDel(&state, s) < 0) - goto error; + assert(bytesmode ? PyBytes_CheckExact(s) : + PyUnicode_CheckExact(s)); + + /* A string or byte string. */ + assert(s != NULL && fstr == NULL); + if (bytesmode) { + /* For bytes, concat as we go. */ + if (i == 0) { + /* First time, just remember this value. */ + bytes_str = s; + } else { + PyBytes_ConcatAndDel(&bytes_str, s); + if (!bytes_str) + goto error; + } + } else { + assert(s != NULL && fstr == NULL); + /* This is a regular string. Concatenate it. */ + if (FstringParser_ConcatAndDel(&state, s) < 0) + goto error; + } } } if (bytesmode) { -- cgit v1.2.1 From 6937d6d76a3b6e4a40ef14a624ba1f1145c792c4 Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Fri, 9 Sep 2016 19:31:12 -0700 Subject: just start with an int rather than casting --- Python/ast.c | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'Python') diff --git a/Python/ast.c b/Python/ast.c index bc9b43e967..092031cc8c 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -4326,7 +4326,7 @@ fstring_find_expr(const char **str, const char *end, int raw, int recurse_lvl, const char *expr_end; expr_ty simple_expression; expr_ty format_spec = NULL; /* Optional format specifier. */ - char conversion = -1; /* The conversion char. -1 if not specified. */ + int conversion = -1; /* The conversion char. -1 if not specified. */ /* 0 if we're not in a string, else the quote char we're trying to match (single or double quote). */ @@ -4502,7 +4502,7 @@ fstring_find_expr(const char **str, const char *end, int raw, int recurse_lvl, /* And now create the FormattedValue node that represents this entire expression with the conversion and format spec. */ - *expression = FormattedValue(simple_expression, (int)conversion, + *expression = FormattedValue(simple_expression, conversion, format_spec, LINENO(n), n->n_col_offset, c->c_arena); if (!*expression) -- cgit v1.2.1 From faaa020659710cecd2d7bb6eaf0c0a6944cff835 Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Fri, 9 Sep 2016 19:48:47 -0700 Subject: add dtrace inline stubs --- Python/dtrace_stubs.c | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 Python/dtrace_stubs.c (limited to 'Python') diff --git a/Python/dtrace_stubs.c b/Python/dtrace_stubs.c new file mode 100644 index 0000000000..d051363640 --- /dev/null +++ b/Python/dtrace_stubs.c @@ -0,0 +1,24 @@ +#include +#include "pydtrace.h" + +#ifndef WITH_DTRACE +extern inline void PyDTrace_LINE(const char *arg0, const char *arg1, int arg2); +extern inline void PyDTrace_FUNCTION_ENTRY(const char *arg0, const char *arg1, int arg2); +extern inline void PyDTrace_FUNCTION_RETURN(const char *arg0, const char *arg1, int arg2); +extern inline void PyDTrace_GC_START(int arg0); +extern inline void PyDTrace_GC_DONE(int arg0); +extern inline void PyDTrace_INSTANCE_NEW_START(int arg0); +extern inline void PyDTrace_INSTANCE_NEW_DONE(int arg0); +extern inline void PyDTrace_INSTANCE_DELETE_START(int arg0); +extern inline void PyDTrace_INSTANCE_DELETE_DONE(int arg0); + +extern inline int PyDTrace_LINE_ENABLED(void); +extern inline int PyDTrace_FUNCTION_ENTRY_ENABLED(void); +extern inline int PyDTrace_FUNCTION_RETURN_ENABLED(void); +extern inline int PyDTrace_GC_START_ENABLED(void); +extern inline int PyDTrace_GC_DONE_ENABLED(void); +extern inline int PyDTrace_INSTANCE_NEW_START_ENABLED(void); +extern inline int PyDTrace_INSTANCE_NEW_DONE_ENABLED(void); +extern inline int PyDTrace_INSTANCE_DELETE_START_ENABLED(void); +extern inline int PyDTrace_INSTANCE_DELETE_DONE_ENABLED(void); +#endif -- cgit v1.2.1 From 9c78a93118dbae1dda426dcdc34a694d810f13ed Mon Sep 17 00:00:00 2001 From: "Eric V. Smith" Date: Fri, 9 Sep 2016 23:06:47 -0400 Subject: Issue 27080: PEP 515: add '_' formatting option. --- Python/formatter_unicode.c | 72 ++++++++++++++++++++++++++++++++-------------- 1 file changed, 51 insertions(+), 21 deletions(-) (limited to 'Python') diff --git a/Python/formatter_unicode.c b/Python/formatter_unicode.c index db9f5b8316..95c507ec6e 100644 --- a/Python/formatter_unicode.c +++ b/Python/formatter_unicode.c @@ -32,14 +32,20 @@ invalid_comma_type(Py_UCS4 presentation_type) { if (presentation_type > 32 && presentation_type < 128) PyErr_Format(PyExc_ValueError, - "Cannot specify ',' with '%c'.", + "Cannot specify ',' or '_' with '%c'.", (char)presentation_type); else PyErr_Format(PyExc_ValueError, - "Cannot specify ',' with '\\x%x'.", + "Cannot specify ',' or '_' with '\\x%x'.", (unsigned int)presentation_type); } +static void +invalid_comma_and_underscore() +{ + PyErr_Format(PyExc_ValueError, "Cannot specify both ',' and '_'."); +} + /* get_integer consumes 0 or more decimal digit characters from an input string, updates *result with the corresponding positive @@ -108,6 +114,12 @@ is_sign_element(Py_UCS4 c) } } +/* Locale type codes. LT_NO_LOCALE must be zero. */ +#define LT_NO_LOCALE 0 +#define LT_DEFAULT_LOCALE 1 +#define LT_UNDERSCORE_LOCALE 2 +#define LT_UNDER_FOUR_LOCALE 3 +#define LT_CURRENT_LOCALE 4 typedef struct { Py_UCS4 fill_char; @@ -223,9 +235,22 @@ parse_internal_render_format_spec(PyObject *format_spec, /* Comma signifies add thousands separators */ if (end-pos && READ_spec(pos) == ',') { - format->thousands_separators = 1; + format->thousands_separators = LT_DEFAULT_LOCALE; ++pos; } + /* Underscore signifies add thousands separators */ + if (end-pos && READ_spec(pos) == '_') { + if (format->thousands_separators != 0) { + invalid_comma_and_underscore(); + return 0; + } + format->thousands_separators = LT_UNDERSCORE_LOCALE; + ++pos; + } + if (end-pos && READ_spec(pos) == ',') { + invalid_comma_and_underscore(); + return 0; + } /* Parse field precision */ if (end-pos && READ_spec(pos) == '.') { @@ -275,6 +300,16 @@ parse_internal_render_format_spec(PyObject *format_spec, case '\0': /* These are allowed. See PEP 378.*/ break; + case 'b': + case 'o': + case 'x': + case 'X': + /* Underscores are allowed in bin/oct/hex. See PEP 515. */ + if (format->thousands_separators == LT_UNDERSCORE_LOCALE) { + /* Every four digits, not every three, in bin/oct/hex. */ + format->thousands_separators = LT_UNDER_FOUR_LOCALE; + break; + } default: invalid_comma_type(format->type); return 0; @@ -351,11 +386,6 @@ fill_padding(_PyUnicodeWriter *writer, /*********** common routines for numeric formatting *********************/ /************************************************************************/ -/* Locale type codes. */ -#define LT_CURRENT_LOCALE 0 -#define LT_DEFAULT_LOCALE 1 -#define LT_NO_LOCALE 2 - /* Locale info needed for formatting integers and the part of floats before and including the decimal. Note that locales only support 8-bit chars, not unicode. */ @@ -667,8 +697,8 @@ static const char no_grouping[1] = {CHAR_MAX}; /* Find the decimal point character(s?), thousands_separator(s?), and grouping description, either for the current locale if type is - LT_CURRENT_LOCALE, a hard-coded locale if LT_DEFAULT_LOCALE, or - none if LT_NO_LOCALE. */ + LT_CURRENT_LOCALE, a hard-coded locale if LT_DEFAULT_LOCALE or + LT_UNDERSCORE_LOCALE/LT_UNDER_FOUR_LOCALE, or none if LT_NO_LOCALE. */ static int get_locale_info(int type, LocaleInfo *locale_info) { @@ -691,16 +721,22 @@ get_locale_info(int type, LocaleInfo *locale_info) break; } case LT_DEFAULT_LOCALE: + case LT_UNDERSCORE_LOCALE: + case LT_UNDER_FOUR_LOCALE: locale_info->decimal_point = PyUnicode_FromOrdinal('.'); - locale_info->thousands_sep = PyUnicode_FromOrdinal(','); + locale_info->thousands_sep = PyUnicode_FromOrdinal( + type == LT_DEFAULT_LOCALE ? ',' : '_'); if (!locale_info->decimal_point || !locale_info->thousands_sep) { Py_XDECREF(locale_info->decimal_point); Py_XDECREF(locale_info->thousands_sep); return -1; } - locale_info->grouping = "\3"; /* Group every 3 characters. The + if (type != LT_UNDER_FOUR_LOCALE) + locale_info->grouping = "\3"; /* Group every 3 characters. The (implicit) trailing 0 means repeat infinitely. */ + else + locale_info->grouping = "\4"; /* Bin/oct/hex group every four. */ break; case LT_NO_LOCALE: locale_info->decimal_point = PyUnicode_FromOrdinal('.'); @@ -952,9 +988,7 @@ format_long_internal(PyObject *value, const InternalFormatSpec *format, /* Determine the grouping, separator, and decimal point, if any. */ if (get_locale_info(format->type == 'n' ? LT_CURRENT_LOCALE : - (format->thousands_separators ? - LT_DEFAULT_LOCALE : - LT_NO_LOCALE), + format->thousands_separators, &locale) == -1) goto done; @@ -1099,9 +1133,7 @@ format_float_internal(PyObject *value, /* Determine the grouping, separator, and decimal point, if any. */ if (get_locale_info(format->type == 'n' ? LT_CURRENT_LOCALE : - (format->thousands_separators ? - LT_DEFAULT_LOCALE : - LT_NO_LOCALE), + format->thousands_separators, &locale) == -1) goto done; @@ -1277,9 +1309,7 @@ format_complex_internal(PyObject *value, /* Determine the grouping, separator, and decimal point, if any. */ if (get_locale_info(format->type == 'n' ? LT_CURRENT_LOCALE : - (format->thousands_separators ? - LT_DEFAULT_LOCALE : - LT_NO_LOCALE), + format->thousands_separators, &locale) == -1) goto done; -- cgit v1.2.1 From 572489f9a0bd0439f47b1daed179f28785858b71 Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Fri, 9 Sep 2016 20:14:05 -0700 Subject: make invalid_comma_and_underscore a real prototype --- Python/formatter_unicode.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/formatter_unicode.c b/Python/formatter_unicode.c index 95c507ec6e..c4a2d9dbfe 100644 --- a/Python/formatter_unicode.c +++ b/Python/formatter_unicode.c @@ -41,7 +41,7 @@ invalid_comma_type(Py_UCS4 presentation_type) } static void -invalid_comma_and_underscore() +invalid_comma_and_underscore(void) { PyErr_Format(PyExc_ValueError, "Cannot specify both ',' and '_'."); } -- cgit v1.2.1 From 14e79902895c8f92b5cf80483619fac1e3832425 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Fri, 9 Sep 2016 17:40:22 -0700 Subject: Add METH_FASTCALL calling convention Issue #27810: Add a new calling convention for C functions: PyObject* func(PyObject *self, PyObject **args, Py_ssize_t nargs, PyObject *kwnames); Where args is a C array of positional arguments followed by values of keyword arguments. nargs is the number of positional arguments, kwnames are keys of keyword arguments. kwnames can be NULL. --- Python/getargs.c | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/getargs.c b/Python/getargs.c index 0854cc45e6..5e85ea4fc1 100644 --- a/Python/getargs.c +++ b/Python/getargs.c @@ -1992,8 +1992,9 @@ vgetargskeywordsfast(PyObject *args, PyObject *keywords, return cleanreturn(0, &freelist); } } - else if (i < nargs) + else if (i < nargs) { current_arg = PyTuple_GET_ITEM(args, i); + } if (current_arg) { msg = convertitem(current_arg, &format, p_va, flags, -- cgit v1.2.1 From e44f8ec767caa8cedbbf3ce18b0c573df619e694 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Fri, 9 Sep 2016 17:40:38 -0700 Subject: Emit METH_FASTCALL code in Argument Clinic Issue #27810: * Modify vgetargskeywordsfast() to work on a C array of PyObject* rather than working on a tuple directly. * Add _PyArg_ParseStack() * Argument Clinic now emits code using the new METH_FASTCALL calling convention --- Python/getargs.c | 184 +++++++++++++++++++++++++++++++++++++++++++++++-------- 1 file changed, 157 insertions(+), 27 deletions(-) (limited to 'Python') diff --git a/Python/getargs.c b/Python/getargs.c index 5e85ea4fc1..017098e226 100644 --- a/Python/getargs.c +++ b/Python/getargs.c @@ -79,6 +79,10 @@ static int vgetargskeywords(PyObject *, PyObject *, const char *, char **, va_list *, int); static int vgetargskeywordsfast(PyObject *, PyObject *, struct _PyArg_Parser *, va_list *, int); +static int vgetargskeywordsfast_impl(PyObject **args, Py_ssize_t nargs, + PyObject *keywords, PyObject *kwnames, + struct _PyArg_Parser *parser, + va_list *p_va, int flags); static const char *skipitem(const char **, va_list *, int); int @@ -1469,6 +1473,46 @@ _PyArg_ParseTupleAndKeywordsFast_SizeT(PyObject *args, PyObject *keywords, return retval; } +int +_PyArg_ParseStack(PyObject **args, Py_ssize_t nargs, PyObject *kwnames, + struct _PyArg_Parser *parser, ...) +{ + int retval; + va_list va; + + if ((kwnames != NULL && !PyTuple_Check(kwnames)) || + parser == NULL) + { + PyErr_BadInternalCall(); + return 0; + } + + va_start(va, parser); + retval = vgetargskeywordsfast_impl(args, nargs, NULL, kwnames, parser, &va, 0); + va_end(va); + return retval; +} + +int +_PyArg_ParseStack_SizeT(PyObject **args, Py_ssize_t nargs, PyObject *kwnames, + struct _PyArg_Parser *parser, ...) +{ + int retval; + va_list va; + + if ((kwnames != NULL && !PyTuple_Check(kwnames)) || + parser == NULL) + { + PyErr_BadInternalCall(); + return 0; + } + + va_start(va, parser); + retval = vgetargskeywordsfast_impl(args, nargs, NULL, kwnames, parser, &va, FLAG_SIZE_T); + va_end(va); + return retval; +} + int _PyArg_VaParseTupleAndKeywordsFast(PyObject *args, PyObject *keywords, @@ -1899,10 +1943,37 @@ parser_clear(struct _PyArg_Parser *parser) Py_CLEAR(parser->kwtuple); } +static PyObject* +find_keyword(PyObject *kwnames, PyObject **kwstack, PyObject *key) +{ + Py_ssize_t i, nkwargs; + + nkwargs = PyTuple_GET_SIZE(kwnames); + for (i=0; i < nkwargs; i++) { + PyObject *kwname = PyTuple_GET_ITEM(kwnames, i); + + /* ptr==ptr should match in most cases since keyword keys + should be interned strings */ + if (kwname == key) { + return kwstack[i]; + } + if (!PyUnicode_Check(kwname)) { + /* ignore non-string keyword keys: + an error will be raised above */ + continue; + } + if (_PyUnicode_EQ(kwname, key)) { + return kwstack[i]; + } + } + return NULL; +} + static int -vgetargskeywordsfast(PyObject *args, PyObject *keywords, - struct _PyArg_Parser *parser, - va_list *p_va, int flags) +vgetargskeywordsfast_impl(PyObject **args, Py_ssize_t nargs, + PyObject *keywords, PyObject *kwnames, + struct _PyArg_Parser *parser, + va_list *p_va, int flags) { PyObject *kwtuple; char msgbuf[512]; @@ -1911,17 +1982,20 @@ vgetargskeywordsfast(PyObject *args, PyObject *keywords, const char *msg; PyObject *keyword; int i, pos, len; - Py_ssize_t nargs, nkeywords; + Py_ssize_t nkeywords; PyObject *current_arg; freelistentry_t static_entries[STATIC_FREELIST_ENTRIES]; freelist_t freelist; + PyObject **kwstack = NULL; freelist.entries = static_entries; freelist.first_available = 0; freelist.entries_malloced = 0; - assert(args != NULL && PyTuple_Check(args)); assert(keywords == NULL || PyDict_Check(keywords)); + assert(kwnames == NULL || PyTuple_Check(kwnames)); + assert((keywords != NULL || kwnames != NULL) + || (keywords == NULL && kwnames == NULL)); assert(parser != NULL); assert(p_va != NULL); @@ -1942,8 +2016,16 @@ vgetargskeywordsfast(PyObject *args, PyObject *keywords, freelist.entries_malloced = 1; } - nargs = PyTuple_GET_SIZE(args); - nkeywords = (keywords == NULL) ? 0 : PyDict_Size(keywords); + if (keywords != NULL) { + nkeywords = PyDict_Size(keywords); + } + else if (kwnames != NULL) { + nkeywords = PyTuple_GET_SIZE(kwnames); + kwstack = args + nargs; + } + else { + nkeywords = 0; + } if (nargs + nkeywords > len) { PyErr_Format(PyExc_TypeError, "%s%s takes at most %d argument%s (%zd given)", @@ -1976,9 +2058,14 @@ vgetargskeywordsfast(PyObject *args, PyObject *keywords, current_arg = NULL; if (nkeywords && i >= pos) { - current_arg = PyDict_GetItem(keywords, keyword); - if (!current_arg && PyErr_Occurred()) { - return cleanreturn(0, &freelist); + if (keywords != NULL) { + current_arg = PyDict_GetItem(keywords, keyword); + if (!current_arg && PyErr_Occurred()) { + return cleanreturn(0, &freelist); + } + } + else { + current_arg = find_keyword(kwnames, kwstack, keyword); } } if (current_arg) { @@ -1993,7 +2080,7 @@ vgetargskeywordsfast(PyObject *args, PyObject *keywords, } } else if (i < nargs) { - current_arg = PyTuple_GET_ITEM(args, i); + current_arg = args[i]; } if (current_arg) { @@ -2040,24 +2127,52 @@ vgetargskeywordsfast(PyObject *args, PyObject *keywords, /* make sure there are no extraneous keyword arguments */ if (nkeywords > 0) { - PyObject *key, *value; - Py_ssize_t pos = 0; - while (PyDict_Next(keywords, &pos, &key, &value)) { - int match; - if (!PyUnicode_Check(key)) { - PyErr_SetString(PyExc_TypeError, - "keywords must be strings"); - return cleanreturn(0, &freelist); + if (keywords != NULL) { + PyObject *key, *value; + Py_ssize_t pos = 0; + while (PyDict_Next(keywords, &pos, &key, &value)) { + int match; + if (!PyUnicode_Check(key)) { + PyErr_SetString(PyExc_TypeError, + "keywords must be strings"); + return cleanreturn(0, &freelist); + } + match = PySequence_Contains(kwtuple, key); + if (match <= 0) { + if (!match) { + PyErr_Format(PyExc_TypeError, + "'%U' is an invalid keyword " + "argument for this function", + key); + } + return cleanreturn(0, &freelist); + } } - match = PySequence_Contains(kwtuple, key); - if (match <= 0) { - if (!match) { - PyErr_Format(PyExc_TypeError, - "'%U' is an invalid keyword " - "argument for this function", - key); + } + else { + Py_ssize_t j, nkwargs; + + nkwargs = PyTuple_GET_SIZE(kwnames); + for (j=0; j < nkwargs; j++) { + PyObject *key = PyTuple_GET_ITEM(kwnames, j); + int match; + + if (!PyUnicode_Check(key)) { + PyErr_SetString(PyExc_TypeError, + "keywords must be strings"); + return cleanreturn(0, &freelist); + } + + match = PySequence_Contains(kwtuple, key); + if (match <= 0) { + if (!match) { + PyErr_Format(PyExc_TypeError, + "'%U' is an invalid keyword " + "argument for this function", + key); + } + return cleanreturn(0, &freelist); } - return cleanreturn(0, &freelist); } } } @@ -2065,6 +2180,21 @@ vgetargskeywordsfast(PyObject *args, PyObject *keywords, return cleanreturn(1, &freelist); } +static int +vgetargskeywordsfast(PyObject *args, PyObject *keywords, + struct _PyArg_Parser *parser, va_list *p_va, int flags) +{ + PyObject **stack; + Py_ssize_t nargs; + + assert(args != NULL && PyTuple_Check(args)); + + stack = &PyTuple_GET_ITEM(args, 0); + nargs = PyTuple_GET_SIZE(args); + return vgetargskeywordsfast_impl(stack, nargs, keywords, NULL, + parser, p_va, flags); +} + static const char * skipitem(const char **p_format, va_list *p_va, int flags) -- cgit v1.2.1 From daa2ed44798ad45ac665321cae21a23661d0e044 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Fri, 9 Sep 2016 20:00:13 -0700 Subject: Issue #27810: Rerun Argument Clinic on all modules --- Python/clinic/bltinmodule.c.h | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) (limited to 'Python') diff --git a/Python/clinic/bltinmodule.c.h b/Python/clinic/bltinmodule.c.h index 4c44340ef6..c88deef33f 100644 --- a/Python/clinic/bltinmodule.c.h +++ b/Python/clinic/bltinmodule.c.h @@ -148,7 +148,7 @@ PyDoc_STRVAR(builtin_compile__doc__, "in addition to any features explicitly specified."); #define BUILTIN_COMPILE_METHODDEF \ - {"compile", (PyCFunction)builtin_compile, METH_VARARGS|METH_KEYWORDS, builtin_compile__doc__}, + {"compile", (PyCFunction)builtin_compile, METH_FASTCALL, builtin_compile__doc__}, static PyObject * builtin_compile_impl(PyObject *module, PyObject *source, PyObject *filename, @@ -156,7 +156,7 @@ builtin_compile_impl(PyObject *module, PyObject *source, PyObject *filename, int optimize); static PyObject * -builtin_compile(PyObject *module, PyObject *args, PyObject *kwargs) +builtin_compile(PyObject *module, PyObject **args, Py_ssize_t nargs, PyObject *kwnames) { PyObject *return_value = NULL; static const char * const _keywords[] = {"source", "filename", "mode", "flags", "dont_inherit", "optimize", NULL}; @@ -168,7 +168,7 @@ builtin_compile(PyObject *module, PyObject *args, PyObject *kwargs) int dont_inherit = 0; int optimize = -1; - if (!_PyArg_ParseTupleAndKeywordsFast(args, kwargs, &_parser, + if (!_PyArg_ParseStack(args, nargs, kwnames, &_parser, &source, PyUnicode_FSDecoder, &filename, &mode, &flags, &dont_inherit, &optimize)) { goto exit; } @@ -674,4 +674,4 @@ builtin_issubclass(PyObject *module, PyObject *args) exit: return return_value; } -/*[clinic end generated code: output=790cb3d26531dfda input=a9049054013a1b77]*/ +/*[clinic end generated code: output=63483deb75805f7c input=a9049054013a1b77]*/ -- cgit v1.2.1 From ad7dfd4fdad5752e927c009df2f36e681b299164 Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Fri, 9 Sep 2016 20:45:06 -0700 Subject: fix export of size_t parse stack function --- Python/getargs.c | 2 ++ 1 file changed, 2 insertions(+) (limited to 'Python') diff --git a/Python/getargs.c b/Python/getargs.c index 017098e226..87a5d26a88 100644 --- a/Python/getargs.c +++ b/Python/getargs.c @@ -26,6 +26,8 @@ int _PyArg_VaParseTupleAndKeywordsFast(PyObject *, PyObject *, #ifdef HAVE_DECLSPEC_DLL /* Export functions */ PyAPI_FUNC(int) _PyArg_Parse_SizeT(PyObject *, const char *, ...); +PyAPI_FUNC(int) _PyArg_ParseStack_SizeT(PyObject **args, Py_ssize_t nargs, PyObject *kwnames, + struct _PyArg_Parser *parser, ...); PyAPI_FUNC(int) _PyArg_ParseTuple_SizeT(PyObject *, const char *, ...); PyAPI_FUNC(int) _PyArg_ParseTupleAndKeywords_SizeT(PyObject *, PyObject *, const char *, char **, ...); -- cgit v1.2.1 From 4e5e1c4d80d5f21111dea3096cbde4292c4e1fd7 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Fri, 9 Sep 2016 20:56:52 -0700 Subject: Issue #27810: Fix getargs.c compilation on Windows --- Python/getargs.c | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/getargs.c b/Python/getargs.c index 87a5d26a88..7339191cf7 100644 --- a/Python/getargs.c +++ b/Python/getargs.c @@ -35,11 +35,12 @@ PyAPI_FUNC(PyObject *) _Py_BuildValue_SizeT(const char *, ...); PyAPI_FUNC(int) _PyArg_VaParse_SizeT(PyObject *, const char *, va_list); PyAPI_FUNC(int) _PyArg_VaParseTupleAndKeywords_SizeT(PyObject *, PyObject *, const char *, char **, va_list); - PyAPI_FUNC(int) _PyArg_ParseTupleAndKeywordsFast_SizeT(PyObject *, PyObject *, struct _PyArg_Parser *, ...); PyAPI_FUNC(int) _PyArg_VaParseTupleAndKeywordsFast_SizeT(PyObject *, PyObject *, struct _PyArg_Parser *, va_list); +PyAPI_FUNC(int) _PyArg_ParseStack_SizeT(PyObject **args, Py_ssize_t nargs, + PyObject *kwnames, struct _PyArg_Parser *parser, ...); #endif #define FLAG_COMPAT 1 -- cgit v1.2.1 From 2286749cb025118308ce513a1b4ba90daa6e968e Mon Sep 17 00:00:00 2001 From: ?ukasz Langa Date: Fri, 9 Sep 2016 21:47:46 -0700 Subject: Don't run garbage collection on interpreter exit if it was explicitly disabled by the user. --- Python/pylifecycle.c | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) (limited to 'Python') diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index f93afd234d..5b5cc2b55e 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -600,12 +600,12 @@ Py_FinalizeEx(void) * XXX but I'm unclear on exactly how that one happens. In any case, * XXX I haven't seen a real-life report of either of these. */ - PyGC_Collect(); + _PyGC_CollectIfEnabled(); #ifdef COUNT_ALLOCS /* With COUNT_ALLOCS, it helps to run GC multiple times: each collection might release some types from the type list, so they become garbage. */ - while (PyGC_Collect() > 0) + while (_PyGC_CollectIfEnabled() > 0) /* nothing */; #endif /* Destroy all modules */ @@ -632,7 +632,7 @@ Py_FinalizeEx(void) * XXX Python code getting called. */ #if 0 - PyGC_Collect(); + _PyGC_CollectIfEnabled(); #endif /* Disable tracemalloc after all Python objects have been destroyed, -- cgit v1.2.1 From 087ceac9f7760db89fa2418ff41e3791322f55f0 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Fri, 9 Sep 2016 23:11:52 -0700 Subject: Fix check_force_ascii() Issue #27938: Normalize aliases of the ASCII encoding, because _Py_normalize_encoding() now correctly normalize encoding names. --- Python/fileutils.c | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) (limited to 'Python') diff --git a/Python/fileutils.c b/Python/fileutils.c index 7ce3b63306..e3bfb0c502 100644 --- a/Python/fileutils.c +++ b/Python/fileutils.c @@ -104,23 +104,24 @@ check_force_ascii(void) char *loc; #if defined(HAVE_LANGINFO_H) && defined(CODESET) char *codeset, **alias; - char encoding[100]; + char encoding[20]; /* longest name: "iso_646.irv_1991\0" */ int is_ascii; unsigned int i; char* ascii_aliases[] = { "ascii", + /* Aliases from Lib/encodings/aliases.py */ "646", - "ansi-x3.4-1968", - "ansi-x3-4-1968", - "ansi-x3.4-1986", + "ansi_x3.4_1968", + "ansi_x3.4_1986", + "ansi_x3_4_1968", "cp367", "csascii", "ibm367", - "iso646-us", - "iso-646.irv-1991", - "iso-ir-6", + "iso646_us", + "iso_646.irv_1991", + "iso_ir_6", "us", - "us-ascii", + "us_ascii", NULL }; #endif -- cgit v1.2.1 From a772d529a832fd9b1523a1f54eb7bd4c69410bdb Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Sat, 10 Sep 2016 17:04:36 -0700 Subject: Backed out changeset 3934e070c9db --- Python/getargs.c | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) (limited to 'Python') diff --git a/Python/getargs.c b/Python/getargs.c index 7339191cf7..87a5d26a88 100644 --- a/Python/getargs.c +++ b/Python/getargs.c @@ -35,12 +35,11 @@ PyAPI_FUNC(PyObject *) _Py_BuildValue_SizeT(const char *, ...); PyAPI_FUNC(int) _PyArg_VaParse_SizeT(PyObject *, const char *, va_list); PyAPI_FUNC(int) _PyArg_VaParseTupleAndKeywords_SizeT(PyObject *, PyObject *, const char *, char **, va_list); + PyAPI_FUNC(int) _PyArg_ParseTupleAndKeywordsFast_SizeT(PyObject *, PyObject *, struct _PyArg_Parser *, ...); PyAPI_FUNC(int) _PyArg_VaParseTupleAndKeywordsFast_SizeT(PyObject *, PyObject *, struct _PyArg_Parser *, va_list); -PyAPI_FUNC(int) _PyArg_ParseStack_SizeT(PyObject **args, Py_ssize_t nargs, - PyObject *kwnames, struct _PyArg_Parser *parser, ...); #endif #define FLAG_COMPAT 1 -- cgit v1.2.1 From 0780d6cb0e6e406d0030dee40156a6dd00066147 Mon Sep 17 00:00:00 2001 From: Nick Coghlan Date: Sun, 11 Sep 2016 14:45:49 +1000 Subject: Issue #23722: Initialize __class__ from type.__new__() The __class__ cell used by zero-argument super() is now initialized from type.__new__ rather than __build_class__, so class methods relying on that will now work correctly when called from metaclass methods during class creation. Patch by Martin Teichmann. --- Python/bltinmodule.c | 10 +- Python/compile.c | 15 +- Python/importlib_external.h | 2485 ++++++++++++++++++++++--------------------- 3 files changed, 1257 insertions(+), 1253 deletions(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index da9ad55ce8..cee013f57b 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -54,7 +54,7 @@ _Py_IDENTIFIER(stderr); static PyObject * builtin___build_class__(PyObject *self, PyObject *args, PyObject *kwds) { - PyObject *func, *name, *bases, *mkw, *meta, *winner, *prep, *ns, *cell; + PyObject *func, *name, *bases, *mkw, *meta, *winner, *prep, *ns, *none; PyObject *cls = NULL; Py_ssize_t nargs; int isclass = 0; /* initialize to prevent gcc warning */ @@ -167,15 +167,13 @@ builtin___build_class__(PyObject *self, PyObject *args, PyObject *kwds) Py_DECREF(bases); return NULL; } - cell = PyEval_EvalCodeEx(PyFunction_GET_CODE(func), PyFunction_GET_GLOBALS(func), ns, + none = PyEval_EvalCodeEx(PyFunction_GET_CODE(func), PyFunction_GET_GLOBALS(func), ns, NULL, 0, NULL, 0, NULL, 0, NULL, PyFunction_GET_CLOSURE(func)); - if (cell != NULL) { + if (none != NULL) { PyObject *margs[3] = {name, bases, ns}; cls = _PyObject_FastCallDict(meta, margs, 3, mkw); - if (cls != NULL && PyCell_Check(cell)) - PyCell_Set(cell, cls); - Py_DECREF(cell); + Py_DECREF(none); } Py_DECREF(ns); Py_DECREF(meta); diff --git a/Python/compile.c b/Python/compile.c index 36683d30e1..4631dbbf18 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -1968,7 +1968,7 @@ compiler_class(struct compiler *c, stmt_ty s) return 0; } if (c->u->u_ste->ste_needs_class_closure) { - /* return the (empty) __class__ cell */ + /* store __classcell__ into class namespace */ str = PyUnicode_InternFromString("__class__"); if (str == NULL) { compiler_exit_scope(c); @@ -1981,15 +1981,20 @@ compiler_class(struct compiler *c, stmt_ty s) return 0; } assert(i == 0); - /* Return the cell where to store __class__ */ + ADDOP_I(c, LOAD_CLOSURE, i); + str = PyUnicode_InternFromString("__classcell__"); + if (!str || !compiler_nameop(c, str, Store)) { + Py_XDECREF(str); + compiler_exit_scope(c); + return 0; + } + Py_DECREF(str); } else { + /* This happens when nobody references the cell. */ assert(PyDict_Size(c->u->u_cellvars) == 0); - /* This happens when nobody references the cell. Return None. */ - ADDOP_O(c, LOAD_CONST, Py_None, consts); } - ADDOP_IN_SCOPE(c, RETURN_VALUE); /* create the code object */ co = assemble(c, 1); } diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 3fcd0394f3..04bf75924d 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -242,7 +242,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,95,97,116,111,109,105,99,106,0,0,0,115,26,0,0, 0,0,5,16,1,6,1,26,1,2,3,14,1,20,1,16, 1,14,1,2,1,14,1,14,1,6,1,114,58,0,0,0, - 105,48,13,0,0,233,2,0,0,0,114,15,0,0,0,115, + 105,49,13,0,0,233,2,0,0,0,114,15,0,0,0,115, 2,0,0,0,13,10,90,11,95,95,112,121,99,97,99,104, 101,95,95,122,4,111,112,116,45,122,3,46,112,121,122,4, 46,112,121,99,78,41,1,218,12,111,112,116,105,109,105,122, @@ -346,7 +346,7 @@ const unsigned char _Py_M__importlib_external[] = { 103,90,15,97,108,109,111,115,116,95,102,105,108,101,110,97, 109,101,114,4,0,0,0,114,4,0,0,0,114,6,0,0, 0,218,17,99,97,99,104,101,95,102,114,111,109,95,115,111, - 117,114,99,101,4,1,0,0,115,48,0,0,0,0,18,8, + 117,114,99,101,5,1,0,0,115,48,0,0,0,0,18,8, 1,6,1,6,1,8,1,4,1,8,1,12,1,10,1,12, 1,16,1,8,1,8,1,8,1,24,1,8,1,12,1,6, 2,8,1,8,1,8,1,8,1,14,1,14,1,114,83,0, @@ -420,7 +420,7 @@ const unsigned char _Py_M__importlib_external[] = { 112,116,95,108,101,118,101,108,90,13,98,97,115,101,95,102, 105,108,101,110,97,109,101,114,4,0,0,0,114,4,0,0, 0,114,6,0,0,0,218,17,115,111,117,114,99,101,95,102, - 114,111,109,95,99,97,99,104,101,49,1,0,0,115,46,0, + 114,111,109,95,99,97,99,104,101,50,1,0,0,115,46,0, 0,0,0,9,12,1,8,1,10,1,12,1,12,1,8,1, 6,1,10,1,10,1,8,1,6,1,10,1,8,1,16,1, 10,1,6,1,8,1,16,1,8,1,6,1,8,1,14,1, @@ -456,7 +456,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,105,111,110,218,11,115,111,117,114,99,101,95,112,97,116, 104,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, 218,15,95,103,101,116,95,115,111,117,114,99,101,102,105,108, - 101,83,1,0,0,115,20,0,0,0,0,7,12,1,4,1, + 101,84,1,0,0,115,20,0,0,0,0,7,12,1,4,1, 16,1,26,1,4,1,2,1,12,1,18,1,18,1,114,95, 0,0,0,99,1,0,0,0,0,0,0,0,1,0,0,0, 11,0,0,0,67,0,0,0,115,74,0,0,0,124,0,106, @@ -469,7 +469,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,114,83,0,0,0,114,70,0,0,0,114,78,0,0, 0,41,1,218,8,102,105,108,101,110,97,109,101,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,11,95,103, - 101,116,95,99,97,99,104,101,100,102,1,0,0,115,16,0, + 101,116,95,99,97,99,104,101,100,103,1,0,0,115,16,0, 0,0,0,1,14,1,2,1,8,1,14,1,8,1,14,1, 6,2,114,99,0,0,0,99,1,0,0,0,0,0,0,0, 2,0,0,0,11,0,0,0,67,0,0,0,115,52,0,0, @@ -483,7 +483,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,233,128,0,0,0,41,3,114,41,0,0,0,114,43,0, 0,0,114,42,0,0,0,41,2,114,37,0,0,0,114,44, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,10,95,99,97,108,99,95,109,111,100,101,114,1, + 0,0,218,10,95,99,97,108,99,95,109,111,100,101,115,1, 0,0,115,12,0,0,0,0,2,2,1,14,1,14,1,10, 3,8,1,114,101,0,0,0,99,1,0,0,0,0,0,0, 0,3,0,0,0,11,0,0,0,3,0,0,0,115,68,0, @@ -521,7 +521,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,218,4,97,114,103,115,90,6,107,119,97,114,103,115,41, 1,218,6,109,101,116,104,111,100,114,4,0,0,0,114,6, 0,0,0,218,19,95,99,104,101,99,107,95,110,97,109,101, - 95,119,114,97,112,112,101,114,134,1,0,0,115,12,0,0, + 95,119,114,97,112,112,101,114,135,1,0,0,115,12,0,0, 0,0,1,8,1,8,1,10,1,4,1,18,1,122,40,95, 99,104,101,99,107,95,110,97,109,101,46,60,108,111,99,97, 108,115,62,46,95,99,104,101,99,107,95,110,97,109,101,95, @@ -542,14 +542,14 @@ const unsigned char _Py_M__importlib_external[] = { 116,95,95,218,6,117,112,100,97,116,101,41,3,90,3,110, 101,119,90,3,111,108,100,114,55,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,5,95,119,114, - 97,112,145,1,0,0,115,8,0,0,0,0,1,10,1,10, + 97,112,146,1,0,0,115,8,0,0,0,0,1,10,1,10, 1,22,1,122,26,95,99,104,101,99,107,95,110,97,109,101, 46,60,108,111,99,97,108,115,62,46,95,119,114,97,112,41, 1,78,41,3,218,10,95,98,111,111,116,115,116,114,97,112, 114,117,0,0,0,218,9,78,97,109,101,69,114,114,111,114, 41,3,114,106,0,0,0,114,107,0,0,0,114,117,0,0, 0,114,4,0,0,0,41,1,114,106,0,0,0,114,6,0, - 0,0,218,11,95,99,104,101,99,107,95,110,97,109,101,126, + 0,0,218,11,95,99,104,101,99,107,95,110,97,109,101,127, 1,0,0,115,14,0,0,0,0,8,14,7,2,1,10,1, 14,2,14,5,10,1,114,120,0,0,0,99,2,0,0,0, 0,0,0,0,5,0,0,0,4,0,0,0,67,0,0,0, @@ -578,7 +578,7 @@ const unsigned char _Py_M__importlib_external[] = { 8,112,111,114,116,105,111,110,115,218,3,109,115,103,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,218,17,95, 102,105,110,100,95,109,111,100,117,108,101,95,115,104,105,109, - 154,1,0,0,115,10,0,0,0,0,10,14,1,16,1,4, + 155,1,0,0,115,10,0,0,0,0,10,14,1,16,1,4, 1,22,1,114,127,0,0,0,99,4,0,0,0,0,0,0, 0,11,0,0,0,22,0,0,0,67,0,0,0,115,142,1, 0,0,105,0,125,4,124,2,100,1,107,9,114,22,124,2, @@ -658,7 +658,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,218,11,115,111,117,114,99,101,95,115,105,122,101,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,218,25,95, 118,97,108,105,100,97,116,101,95,98,121,116,101,99,111,100, - 101,95,104,101,97,100,101,114,171,1,0,0,115,76,0,0, + 101,95,104,101,97,100,101,114,172,1,0,0,115,76,0,0, 0,0,11,4,1,8,1,10,3,4,1,8,1,8,1,12, 1,12,1,12,1,8,1,12,1,12,1,16,1,12,1,10, 1,12,1,10,1,12,1,10,1,12,1,8,1,10,1,2, @@ -687,7 +687,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,41,5,114,56,0,0,0,114,102,0,0,0,114,93,0, 0,0,114,94,0,0,0,218,4,99,111,100,101,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,17,95,99, - 111,109,112,105,108,101,95,98,121,116,101,99,111,100,101,226, + 111,109,112,105,108,101,95,98,121,116,101,99,111,100,101,227, 1,0,0,115,16,0,0,0,0,2,10,1,10,1,12,1, 8,1,12,1,6,2,10,1,114,145,0,0,0,114,62,0, 0,0,99,3,0,0,0,0,0,0,0,4,0,0,0,3, @@ -706,7 +706,7 @@ const unsigned char _Py_M__importlib_external[] = { 109,112,115,41,4,114,144,0,0,0,114,130,0,0,0,114, 138,0,0,0,114,56,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,6,0,0,0,218,17,95,99,111,100,101,95, - 116,111,95,98,121,116,101,99,111,100,101,238,1,0,0,115, + 116,111,95,98,121,116,101,99,111,100,101,239,1,0,0,115, 10,0,0,0,0,3,8,1,14,1,14,1,16,1,114,148, 0,0,0,99,1,0,0,0,0,0,0,0,5,0,0,0, 4,0,0,0,67,0,0,0,115,62,0,0,0,100,1,100, @@ -733,7 +733,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 0,0,0,114,4,0,0,0,114,6,0,0,0,218,13,100, - 101,99,111,100,101,95,115,111,117,114,99,101,248,1,0,0, + 101,99,111,100,101,95,115,111,117,114,99,101,249,1,0,0, 115,10,0,0,0,0,5,8,1,12,1,10,1,12,1,114, 153,0,0,0,41,2,114,124,0,0,0,218,26,115,117,98, 109,111,100,117,108,101,95,115,101,97,114,99,104,95,108,111, @@ -795,7 +795,7 @@ const unsigned char _Py_M__importlib_external[] = { 157,0,0,0,90,7,100,105,114,110,97,109,101,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,23,115,112, 101,99,95,102,114,111,109,95,102,105,108,101,95,108,111,99, - 97,116,105,111,110,9,2,0,0,115,62,0,0,0,0,12, + 97,116,105,111,110,10,2,0,0,115,62,0,0,0,0,12, 8,4,4,1,10,2,2,1,14,1,14,1,8,2,10,8, 16,1,6,3,8,1,16,1,14,1,10,1,6,1,6,2, 4,3,8,2,10,1,2,1,14,1,14,1,6,2,4,1, @@ -831,7 +831,7 @@ const unsigned char _Py_M__importlib_external[] = { 90,18,72,75,69,89,95,76,79,67,65,76,95,77,65,67, 72,73,78,69,41,2,218,3,99,108,115,114,5,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 14,95,111,112,101,110,95,114,101,103,105,115,116,114,121,89, + 14,95,111,112,101,110,95,114,101,103,105,115,116,114,121,90, 2,0,0,115,8,0,0,0,0,2,2,1,14,1,14,1, 122,36,87,105,110,100,111,119,115,82,101,103,105,115,116,114, 121,70,105,110,100,101,114,46,95,111,112,101,110,95,114,101, @@ -857,7 +857,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,121,95,107,101,121,114,5,0,0,0,90,4,104,107,101, 121,218,8,102,105,108,101,112,97,116,104,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,16,95,115,101,97, - 114,99,104,95,114,101,103,105,115,116,114,121,96,2,0,0, + 114,99,104,95,114,101,103,105,115,116,114,121,97,2,0,0, 115,22,0,0,0,0,2,6,1,8,2,6,1,6,1,22, 1,2,1,12,1,26,1,14,1,6,1,122,38,87,105,110, 100,111,119,115,82,101,103,105,115,116,114,121,70,105,110,100, @@ -879,7 +879,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,37,0,0,0,218,6,116,97,114,103,101,116, 114,174,0,0,0,114,124,0,0,0,114,164,0,0,0,114, 162,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,218,9,102,105,110,100,95,115,112,101,99,111,2, + 0,0,0,218,9,102,105,110,100,95,115,112,101,99,112,2, 0,0,115,26,0,0,0,0,2,10,1,8,1,4,1,2, 1,12,1,14,1,6,1,16,1,14,1,6,1,8,1,8, 1,122,31,87,105,110,100,111,119,115,82,101,103,105,115,116, @@ -898,7 +898,7 @@ const unsigned char _Py_M__importlib_external[] = { 78,41,2,114,178,0,0,0,114,124,0,0,0,41,4,114, 168,0,0,0,114,123,0,0,0,114,37,0,0,0,114,162, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,11,102,105,110,100,95,109,111,100,117,108,101,127, + 0,0,218,11,102,105,110,100,95,109,111,100,117,108,101,128, 2,0,0,115,8,0,0,0,0,7,12,1,8,1,8,2, 122,33,87,105,110,100,111,119,115,82,101,103,105,115,116,114, 121,70,105,110,100,101,114,46,102,105,110,100,95,109,111,100, @@ -908,7 +908,7 @@ const unsigned char _Py_M__importlib_external[] = { 11,99,108,97,115,115,109,101,116,104,111,100,114,169,0,0, 0,114,175,0,0,0,114,178,0,0,0,114,179,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,166,0,0,0,77,2,0,0,115,20,0, + 6,0,0,0,114,166,0,0,0,78,2,0,0,115,20,0, 0,0,8,2,4,3,4,3,4,2,4,2,12,7,12,15, 2,1,12,15,2,1,114,166,0,0,0,99,0,0,0,0, 0,0,0,0,0,0,0,0,2,0,0,0,64,0,0,0, @@ -943,7 +943,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,123,0,0,0,114,98,0,0,0,90,13,102,105,108, 101,110,97,109,101,95,98,97,115,101,90,9,116,97,105,108, 95,110,97,109,101,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,157,0,0,0,146,2,0,0,115,8,0, + 6,0,0,0,114,157,0,0,0,147,2,0,0,115,8,0, 0,0,0,3,18,1,16,1,14,1,122,24,95,76,111,97, 100,101,114,66,97,115,105,99,115,46,105,115,95,112,97,99, 107,97,103,101,99,2,0,0,0,0,0,0,0,2,0,0, @@ -954,7 +954,7 @@ const unsigned char _Py_M__importlib_external[] = { 78,114,4,0,0,0,41,2,114,104,0,0,0,114,162,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, 0,218,13,99,114,101,97,116,101,95,109,111,100,117,108,101, - 154,2,0,0,115,0,0,0,0,122,27,95,76,111,97,100, + 155,2,0,0,115,0,0,0,0,122,27,95,76,111,97,100, 101,114,66,97,115,105,99,115,46,99,114,101,97,116,101,95, 109,111,100,117,108,101,99,2,0,0,0,0,0,0,0,3, 0,0,0,4,0,0,0,67,0,0,0,115,56,0,0,0, @@ -973,7 +973,7 @@ const unsigned char _Py_M__importlib_external[] = { 100,218,4,101,120,101,99,114,115,0,0,0,41,3,114,104, 0,0,0,218,6,109,111,100,117,108,101,114,144,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 11,101,120,101,99,95,109,111,100,117,108,101,157,2,0,0, + 11,101,120,101,99,95,109,111,100,117,108,101,158,2,0,0, 115,10,0,0,0,0,2,12,1,8,1,6,1,10,1,122, 25,95,76,111,97,100,101,114,66,97,115,105,99,115,46,101, 120,101,99,95,109,111,100,117,108,101,99,2,0,0,0,0, @@ -985,13 +985,13 @@ const unsigned char _Py_M__importlib_external[] = { 117,108,101,95,115,104,105,109,41,2,114,104,0,0,0,114, 123,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, 0,0,0,218,11,108,111,97,100,95,109,111,100,117,108,101, - 165,2,0,0,115,2,0,0,0,0,2,122,25,95,76,111, + 166,2,0,0,115,2,0,0,0,0,2,122,25,95,76,111, 97,100,101,114,66,97,115,105,99,115,46,108,111,97,100,95, 109,111,100,117,108,101,78,41,8,114,109,0,0,0,114,108, 0,0,0,114,110,0,0,0,114,111,0,0,0,114,157,0, 0,0,114,183,0,0,0,114,188,0,0,0,114,190,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,181,0,0,0,141,2,0,0,115,10, + 114,6,0,0,0,114,181,0,0,0,142,2,0,0,115,10, 0,0,0,8,3,4,2,8,8,8,3,8,8,114,181,0, 0,0,99,0,0,0,0,0,0,0,0,0,0,0,0,3, 0,0,0,64,0,0,0,115,74,0,0,0,101,0,90,1, @@ -1017,7 +1017,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,218,7,73,79,69,114,114,111,114,41,2,114,104,0,0, 0,114,37,0,0,0,114,4,0,0,0,114,4,0,0,0, 114,6,0,0,0,218,10,112,97,116,104,95,109,116,105,109, - 101,172,2,0,0,115,2,0,0,0,0,6,122,23,83,111, + 101,173,2,0,0,115,2,0,0,0,0,6,122,23,83,111, 117,114,99,101,76,111,97,100,101,114,46,112,97,116,104,95, 109,116,105,109,101,99,2,0,0,0,0,0,0,0,2,0, 0,0,3,0,0,0,67,0,0,0,115,14,0,0,0,100, @@ -1052,7 +1052,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,41,1,114,193,0,0,0,41,2,114,104,0,0, 0,114,37,0,0,0,114,4,0,0,0,114,4,0,0,0, 114,6,0,0,0,218,10,112,97,116,104,95,115,116,97,116, - 115,180,2,0,0,115,2,0,0,0,0,11,122,23,83,111, + 115,181,2,0,0,115,2,0,0,0,0,11,122,23,83,111, 117,114,99,101,76,111,97,100,101,114,46,112,97,116,104,95, 115,116,97,116,115,99,4,0,0,0,0,0,0,0,4,0, 0,0,3,0,0,0,67,0,0,0,115,12,0,0,0,124, @@ -1075,7 +1075,7 @@ const unsigned char _Py_M__importlib_external[] = { 4,114,104,0,0,0,114,94,0,0,0,90,10,99,97,99, 104,101,95,112,97,116,104,114,56,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,15,95,99,97, - 99,104,101,95,98,121,116,101,99,111,100,101,193,2,0,0, + 99,104,101,95,98,121,116,101,99,111,100,101,194,2,0,0, 115,2,0,0,0,0,8,122,28,83,111,117,114,99,101,76, 111,97,100,101,114,46,95,99,97,99,104,101,95,98,121,116, 101,99,111,100,101,99,3,0,0,0,0,0,0,0,3,0, @@ -1092,7 +1092,7 @@ const unsigned char _Py_M__importlib_external[] = { 108,101,115,46,10,32,32,32,32,32,32,32,32,78,114,4, 0,0,0,41,3,114,104,0,0,0,114,37,0,0,0,114, 56,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,195,0,0,0,203,2,0,0,115,0,0,0, + 0,0,0,114,195,0,0,0,204,2,0,0,115,0,0,0, 0,122,21,83,111,117,114,99,101,76,111,97,100,101,114,46, 115,101,116,95,100,97,116,97,99,2,0,0,0,0,0,0, 0,5,0,0,0,16,0,0,0,67,0,0,0,115,82,0, @@ -1113,7 +1113,7 @@ const unsigned char _Py_M__importlib_external[] = { 104,0,0,0,114,123,0,0,0,114,37,0,0,0,114,151, 0,0,0,218,3,101,120,99,114,4,0,0,0,114,4,0, 0,0,114,6,0,0,0,218,10,103,101,116,95,115,111,117, - 114,99,101,210,2,0,0,115,14,0,0,0,0,2,10,1, + 114,99,101,211,2,0,0,115,14,0,0,0,0,2,10,1, 2,1,14,1,16,1,4,1,28,1,122,23,83,111,117,114, 99,101,76,111,97,100,101,114,46,103,101,116,95,115,111,117, 114,99,101,114,31,0,0,0,41,1,218,9,95,111,112,116, @@ -1135,7 +1135,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,114,56,0,0,0,114,37,0,0,0,114,200,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, 218,14,115,111,117,114,99,101,95,116,111,95,99,111,100,101, - 220,2,0,0,115,4,0,0,0,0,5,12,1,122,27,83, + 221,2,0,0,115,4,0,0,0,0,5,12,1,122,27,83, 111,117,114,99,101,76,111,97,100,101,114,46,115,111,117,114, 99,101,95,116,111,95,99,111,100,101,99,2,0,0,0,0, 0,0,0,10,0,0,0,43,0,0,0,67,0,0,0,115, @@ -1191,7 +1191,7 @@ const unsigned char _Py_M__importlib_external[] = { 116,114,56,0,0,0,218,10,98,121,116,101,115,95,100,97, 116,97,114,151,0,0,0,90,11,99,111,100,101,95,111,98, 106,101,99,116,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,184,0,0,0,228,2,0,0,115,78,0,0, + 0,0,0,114,184,0,0,0,229,2,0,0,115,78,0,0, 0,0,7,10,1,4,1,2,1,12,1,14,1,10,2,2, 1,14,1,14,1,6,2,12,1,2,1,14,1,14,1,6, 2,2,1,4,1,4,1,12,1,18,1,6,2,8,1,6, @@ -1203,1237 +1203,1238 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,114,194,0,0,0,114,196,0,0,0,114,195,0,0, 0,114,199,0,0,0,114,203,0,0,0,114,184,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,191,0,0,0,170,2,0,0,115,14,0, + 6,0,0,0,114,191,0,0,0,171,2,0,0,115,14,0, 0,0,8,2,8,8,8,13,8,10,8,7,8,10,14,8, 114,191,0,0,0,99,0,0,0,0,0,0,0,0,0,0, - 0,0,4,0,0,0,0,0,0,0,115,76,0,0,0,101, + 0,0,4,0,0,0,0,0,0,0,115,80,0,0,0,101, 0,90,1,100,0,90,2,100,1,90,3,100,2,100,3,132, 0,90,4,100,4,100,5,132,0,90,5,100,6,100,7,132, 0,90,6,101,7,135,0,102,1,100,8,100,9,132,8,131, 1,90,8,101,7,100,10,100,11,132,0,131,1,90,9,100, - 12,100,13,132,0,90,10,135,0,83,0,41,14,218,10,70, - 105,108,101,76,111,97,100,101,114,122,103,66,97,115,101,32, - 102,105,108,101,32,108,111,97,100,101,114,32,99,108,97,115, - 115,32,119,104,105,99,104,32,105,109,112,108,101,109,101,110, - 116,115,32,116,104,101,32,108,111,97,100,101,114,32,112,114, - 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, - 0,0,0,67,0,0,0,115,16,0,0,0,124,1,124,0, - 95,0,124,2,124,0,95,1,100,1,83,0,41,2,122,75, - 67,97,99,104,101,32,116,104,101,32,109,111,100,117,108,101, - 32,110,97,109,101,32,97,110,100,32,116,104,101,32,112,97, - 116,104,32,116,111,32,116,104,101,32,102,105,108,101,32,102, - 111,117,110,100,32,98,121,32,116,104,101,10,32,32,32,32, - 32,32,32,32,102,105,110,100,101,114,46,78,41,2,114,102, - 0,0,0,114,37,0,0,0,41,3,114,104,0,0,0,114, - 123,0,0,0,114,37,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,182,0,0,0,29,3,0, - 0,115,4,0,0,0,0,3,6,1,122,19,70,105,108,101, - 76,111,97,100,101,114,46,95,95,105,110,105,116,95,95,99, - 2,0,0,0,0,0,0,0,2,0,0,0,2,0,0,0, - 67,0,0,0,115,24,0,0,0,124,0,106,0,124,1,106, - 0,107,2,111,22,124,0,106,1,124,1,106,1,107,2,83, - 0,41,1,78,41,2,218,9,95,95,99,108,97,115,115,95, - 95,114,115,0,0,0,41,2,114,104,0,0,0,218,5,111, - 116,104,101,114,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,218,6,95,95,101,113,95,95,35,3,0,0,115, - 4,0,0,0,0,1,12,1,122,17,70,105,108,101,76,111, - 97,100,101,114,46,95,95,101,113,95,95,99,1,0,0,0, - 0,0,0,0,1,0,0,0,3,0,0,0,67,0,0,0, - 115,20,0,0,0,116,0,124,0,106,1,131,1,116,0,124, - 0,106,2,131,1,65,0,83,0,41,1,78,41,3,218,4, - 104,97,115,104,114,102,0,0,0,114,37,0,0,0,41,1, - 114,104,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,218,8,95,95,104,97,115,104,95,95,39,3, - 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, - 0,0,0,115,16,0,0,0,116,0,116,1,124,0,131,2, - 106,2,124,1,131,1,83,0,41,1,122,100,76,111,97,100, - 32,97,32,109,111,100,117,108,101,32,102,114,111,109,32,97, - 32,102,105,108,101,46,10,10,32,32,32,32,32,32,32,32, - 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, - 41,3,218,5,115,117,112,101,114,114,207,0,0,0,114,190, - 0,0,0,41,2,114,104,0,0,0,114,123,0,0,0,41, - 1,114,208,0,0,0,114,4,0,0,0,114,6,0,0,0, - 114,190,0,0,0,42,3,0,0,115,2,0,0,0,0,10, - 122,22,70,105,108,101,76,111,97,100,101,114,46,108,111,97, - 100,95,109,111,100,117,108,101,99,2,0,0,0,0,0,0, - 0,2,0,0,0,1,0,0,0,67,0,0,0,115,6,0, - 0,0,124,0,106,0,83,0,41,1,122,58,82,101,116,117, - 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, - 105,110,100,101,114,46,41,1,114,37,0,0,0,41,2,114, - 104,0,0,0,114,123,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,155,0,0,0,54,3,0, - 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, - 0,0,67,0,0,0,115,32,0,0,0,116,0,106,1,124, - 1,100,1,131,2,143,10,125,2,124,2,106,2,131,0,83, - 0,81,0,82,0,88,0,100,2,83,0,41,3,122,39,82, - 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, - 98,121,116,101,115,46,218,1,114,78,41,3,114,52,0,0, - 0,114,53,0,0,0,90,4,114,101,97,100,41,3,114,104, - 0,0,0,114,37,0,0,0,114,57,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,6,0,0,0,114,197,0,0, - 0,59,3,0,0,115,4,0,0,0,0,2,14,1,122,19, - 70,105,108,101,76,111,97,100,101,114,46,103,101,116,95,100, - 97,116,97,41,11,114,109,0,0,0,114,108,0,0,0,114, - 110,0,0,0,114,111,0,0,0,114,182,0,0,0,114,210, - 0,0,0,114,212,0,0,0,114,120,0,0,0,114,190,0, - 0,0,114,155,0,0,0,114,197,0,0,0,114,4,0,0, - 0,114,4,0,0,0,41,1,114,208,0,0,0,114,6,0, - 0,0,114,207,0,0,0,24,3,0,0,115,14,0,0,0, - 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0,41,3,114,104,0,0,0,114,162,0,0,0,114,187,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,184,0,0,0,168,3,0,0,115,2,0,0,0,0, - 2,122,28,69,120,116,101,110,115,105,111,110,70,105,108,101, - 76,111,97,100,101,114,46,103,101,116,95,99,111,100,101,99, - 2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0, - 67,0,0,0,115,4,0,0,0,100,1,83,0,41,2,122, - 53,82,101,116,117,114,110,32,78,111,110,101,32,97,115,32, - 101,120,116,101,110,115,105,111,110,32,109,111,100,117,108,101, - 115,32,104,97,118,101,32,110,111,32,115,111,117,114,99,101, - 32,99,111,100,101,46,78,114,4,0,0,0,41,2,114,104, - 0,0,0,114,123,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,199,0,0,0,172,3,0,0, - 115,2,0,0,0,0,2,122,30,69,120,116,101,110,115,105, - 111,110,70,105,108,101,76,111,97,100,101,114,46,103,101,116, - 95,115,111,117,114,99,101,99,2,0,0,0,0,0,0,0, - 2,0,0,0,1,0,0,0,67,0,0,0,115,6,0,0, - 0,124,0,106,0,83,0,41,1,122,58,82,101,116,117,114, - 110,32,116,104,101,32,112,97,116,104,32,116,111,32,116,104, - 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117,114,110,32,114,101,112,114,32,102,111,114,32,116,104,101, + 32,109,111,100,117,108,101,46,10,10,32,32,32,32,32,32, + 32,32,84,104,101,32,109,101,116,104,111,100,32,105,115,32, + 100,101,112,114,101,99,97,116,101,100,46,32,32,84,104,101, + 32,105,109,112,111,114,116,32,109,97,99,104,105,110,101,114, + 121,32,100,111,101,115,32,116,104,101,32,106,111,98,32,105, + 116,115,101,108,102,46,10,10,32,32,32,32,32,32,32,32, + 122,25,60,109,111,100,117,108,101,32,123,33,114,125,32,40, + 110,97,109,101,115,112,97,99,101,41,62,41,2,114,50,0, + 0,0,114,109,0,0,0,41,2,114,168,0,0,0,114,187, + 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, + 0,0,218,11,109,111,100,117,108,101,95,114,101,112,114,247, + 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, + 0,0,100,1,83,0,41,2,78,84,114,4,0,0,0,41, + 2,114,104,0,0,0,114,123,0,0,0,114,4,0,0,0, + 114,4,0,0,0,114,6,0,0,0,114,157,0,0,0,0, + 4,0,0,115,2,0,0,0,0,1,122,27,95,78,97,109, + 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, - 0,100,0,83,0,41,1,78,114,4,0,0,0,41,2,114, - 104,0,0,0,114,187,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,188,0,0,0,11,4,0, - 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, - 0,0,0,3,0,0,0,67,0,0,0,115,26,0,0,0, - 116,0,106,1,100,1,124,0,106,2,131,2,1,0,116,0, - 106,3,124,0,124,1,131,2,83,0,41,2,122,98,76,111, - 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, - 97,116,104,32,123,33,114,125,41,4,114,118,0,0,0,114, - 133,0,0,0,114,229,0,0,0,114,189,0,0,0,41,2, - 114,104,0,0,0,114,123,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,190,0,0,0,14,4, - 0,0,115,6,0,0,0,0,7,6,1,8,1,122,28,95, + 0,100,1,83,0,41,2,78,114,32,0,0,0,114,4,0, + 0,0,41,2,114,104,0,0,0,114,123,0,0,0,114,4, + 0,0,0,114,4,0,0,0,114,6,0,0,0,114,199,0, + 0,0,3,4,0,0,115,2,0,0,0,0,1,122,27,95, 78,97,109,101,115,112,97,99,101,76,111,97,100,101,114,46, - 108,111,97,100,95,109,111,100,117,108,101,78,41,12,114,109, - 0,0,0,114,108,0,0,0,114,110,0,0,0,114,182,0, - 0,0,114,180,0,0,0,114,247,0,0,0,114,157,0,0, - 0,114,199,0,0,0,114,184,0,0,0,114,183,0,0,0, - 114,188,0,0,0,114,190,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,246, - 0,0,0,242,3,0,0,115,16,0,0,0,8,1,8,3, - 12,9,8,3,8,3,8,3,8,3,8,3,114,246,0,0, - 0,99,0,0,0,0,0,0,0,0,0,0,0,0,4,0, - 0,0,64,0,0,0,115,106,0,0,0,101,0,90,1,100, - 0,90,2,100,1,90,3,101,4,100,2,100,3,132,0,131, - 1,90,5,101,4,100,4,100,5,132,0,131,1,90,6,101, - 4,100,6,100,7,132,0,131,1,90,7,101,4,100,8,100, - 9,132,0,131,1,90,8,101,4,100,17,100,11,100,12,132, - 1,131,1,90,9,101,4,100,18,100,13,100,14,132,1,131, - 1,90,10,101,4,100,19,100,15,100,16,132,1,131,1,90, - 11,100,10,83,0,41,20,218,10,80,97,116,104,70,105,110, - 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, - 4,0,0,0,67,0,0,0,115,42,0,0,0,120,36,116, - 0,106,1,106,2,131,0,68,0,93,22,125,1,116,3,124, - 1,100,1,131,2,114,12,124,1,106,4,131,0,1,0,113, - 12,87,0,100,2,83,0,41,3,122,125,67,97,108,108,32, - 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, - 100,97,116,101,95,99,97,99,104,101,115,78,41,5,114,8, - 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, - 114,112,0,0,0,114,249,0,0,0,41,2,114,168,0,0, - 0,218,6,102,105,110,100,101,114,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,249,0,0,0,32,4,0, - 0,115,6,0,0,0,0,4,16,1,10,1,122,28,80,97, - 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, - 86,0,0,0,116,0,106,1,100,1,107,9,114,30,116,0, - 106,1,12,0,114,30,116,2,106,3,100,2,116,4,131,2, - 1,0,120,50,116,0,106,1,68,0,93,36,125,2,121,8, - 124,2,124,1,131,1,83,0,4,0,116,5,107,10,114,72, - 1,0,1,0,1,0,119,38,89,0,113,38,88,0,113,38, - 87,0,100,1,83,0,100,1,83,0,41,3,122,46,83,101, - 97,114,99,104,32,115,121,115,46,112,97,116,104,95,104,111, - 111,107,115,32,102,111,114,32,97,32,102,105,110,100,101,114, - 32,102,111,114,32,39,112,97,116,104,39,46,78,122,23,115, - 121,115,46,112,97,116,104,95,104,111,111,107,115,32,105,115, - 32,101,109,112,116,121,41,6,114,8,0,0,0,218,10,112, - 97,116,104,95,104,111,111,107,115,114,63,0,0,0,114,64, - 0,0,0,114,122,0,0,0,114,103,0,0,0,41,3,114, - 168,0,0,0,114,37,0,0,0,90,4,104,111,111,107,114, - 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,11, - 95,112,97,116,104,95,104,111,111,107,115,40,4,0,0,115, - 16,0,0,0,0,3,18,1,12,1,12,1,2,1,8,1, - 14,1,12,2,122,22,80,97,116,104,70,105,110,100,101,114, - 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, - 0,115,102,0,0,0,124,1,100,1,107,2,114,42,121,12, - 116,0,106,1,131,0,125,1,87,0,110,20,4,0,116,2, - 107,10,114,40,1,0,1,0,1,0,100,2,83,0,88,0, - 121,14,116,3,106,4,124,1,25,0,125,2,87,0,110,40, - 4,0,116,5,107,10,114,96,1,0,1,0,1,0,124,0, - 106,6,124,1,131,1,125,2,124,2,116,3,106,4,124,1, - 60,0,89,0,110,2,88,0,124,2,83,0,41,3,122,210, - 71,101,116,32,116,104,101,32,102,105,110,100,101,114,32,102, - 111,114,32,116,104,101,32,112,97,116,104,32,101,110,116,114, - 121,32,102,114,111,109,32,115,121,115,46,112,97,116,104,95, - 105,109,112,111,114,116,101,114,95,99,97,99,104,101,46,10, - 10,32,32,32,32,32,32,32,32,73,102,32,116,104,101,32, - 112,97,116,104,32,101,110,116,114,121,32,105,115,32,110,111, - 116,32,105,110,32,116,104,101,32,99,97,99,104,101,44,32, - 102,105,110,100,32,116,104,101,32,97,112,112,114,111,112,114, - 105,97,116,101,32,102,105,110,100,101,114,10,32,32,32,32, - 32,32,32,32,97,110,100,32,99,97,99,104,101,32,105,116, - 46,32,73,102,32,110,111,32,102,105,110,100,101,114,32,105, - 115,32,97,118,97,105,108,97,98,108,101,44,32,115,116,111, - 114,101,32,78,111,110,101,46,10,10,32,32,32,32,32,32, - 32,32,114,32,0,0,0,78,41,7,114,3,0,0,0,114, - 47,0,0,0,218,17,70,105,108,101,78,111,116,70,111,117, - 110,100,69,114,114,111,114,114,8,0,0,0,114,250,0,0, - 0,114,135,0,0,0,114,254,0,0,0,41,3,114,168,0, - 0,0,114,37,0,0,0,114,252,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,218,20,95,112,97, - 116,104,95,105,109,112,111,114,116,101,114,95,99,97,99,104, - 101,53,4,0,0,115,22,0,0,0,0,8,8,1,2,1, - 12,1,14,3,6,1,2,1,14,1,14,1,10,1,16,1, - 122,31,80,97,116,104,70,105,110,100,101,114,46,95,112,97, - 116,104,95,105,109,112,111,114,116,101,114,95,99,97,99,104, - 101,99,3,0,0,0,0,0,0,0,6,0,0,0,3,0, - 0,0,67,0,0,0,115,82,0,0,0,116,0,124,2,100, - 1,131,2,114,26,124,2,106,1,124,1,131,1,92,2,125, - 3,125,4,110,14,124,2,106,2,124,1,131,1,125,3,103, - 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104,90,5,101,110,116,114,121,114,252,0,0,0,114,162,0, - 0,0,114,125,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,218,9,95,103,101,116,95,115,112,101, - 99,90,4,0,0,115,40,0,0,0,0,5,4,1,10,1, - 14,1,2,1,10,1,8,1,10,1,14,2,12,1,8,1, - 2,1,10,1,4,1,6,1,8,1,8,5,14,2,12,1, - 6,1,122,20,80,97,116,104,70,105,110,100,101,114,46,95, - 103,101,116,95,115,112,101,99,99,4,0,0,0,0,0,0, - 0,6,0,0,0,4,0,0,0,67,0,0,0,115,104,0, - 0,0,124,2,100,1,107,8,114,14,116,0,106,1,125,2, - 124,0,106,2,124,1,124,2,124,3,131,3,125,4,124,4, - 100,1,107,8,114,42,100,1,83,0,110,58,124,4,106,3, - 100,1,107,8,114,96,124,4,106,4,125,5,124,5,114,90, - 100,2,124,4,95,5,116,6,124,1,124,5,124,0,106,2, - 131,3,124,4,95,4,124,4,83,0,113,100,100,1,83,0, - 110,4,124,4,83,0,100,1,83,0,41,3,122,141,84,114, - 121,32,116,111,32,102,105,110,100,32,97,32,115,112,101,99, - 32,102,111,114,32,39,102,117,108,108,110,97,109,101,39,32, - 111,110,32,115,121,115,46,112,97,116,104,32,111,114,32,39, - 112,97,116,104,39,46,10,10,32,32,32,32,32,32,32,32, - 84,104,101,32,115,101,97,114,99,104,32,105,115,32,98,97, - 115,101,100,32,111,110,32,115,121,115,46,112,97,116,104,95, - 104,111,111,107,115,32,97,110,100,32,115,121,115,46,112,97, - 116,104,95,105,109,112,111,114,116,101,114,95,99,97,99,104, - 101,46,10,32,32,32,32,32,32,32,32,78,90,9,110,97, - 109,101,115,112,97,99,101,41,7,114,8,0,0,0,114,37, - 0,0,0,114,4,1,0,0,114,124,0,0,0,114,154,0, - 0,0,114,156,0,0,0,114,227,0,0,0,41,6,114,168, - 0,0,0,114,123,0,0,0,114,37,0,0,0,114,177,0, - 0,0,114,162,0,0,0,114,3,1,0,0,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,114,178,0,0,0, - 122,4,0,0,115,26,0,0,0,0,6,8,1,6,1,14, - 1,8,1,6,1,10,1,6,1,4,3,6,1,16,1,6, - 2,6,2,122,20,80,97,116,104,70,105,110,100,101,114,46, - 102,105,110,100,95,115,112,101,99,99,3,0,0,0,0,0, - 0,0,4,0,0,0,3,0,0,0,67,0,0,0,115,30, - 0,0,0,124,0,106,0,124,1,124,2,131,2,125,3,124, - 3,100,1,107,8,114,24,100,1,83,0,124,3,106,1,83, - 0,41,2,122,170,102,105,110,100,32,116,104,101,32,109,111, - 100,117,108,101,32,111,110,32,115,121,115,46,112,97,116,104, - 32,111,114,32,39,112,97,116,104,39,32,98,97,115,101,100, - 32,111,110,32,115,121,115,46,112,97,116,104,95,104,111,111, - 107,115,32,97,110,100,10,32,32,32,32,32,32,32,32,115, + 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, + 16,0,0,0,116,0,100,1,100,2,100,3,100,4,100,5, + 141,4,83,0,41,6,78,114,32,0,0,0,122,8,60,115, + 116,114,105,110,103,62,114,186,0,0,0,84,41,1,114,201, + 0,0,0,41,1,114,202,0,0,0,41,2,114,104,0,0, + 0,114,123,0,0,0,114,4,0,0,0,114,4,0,0,0, + 114,6,0,0,0,114,184,0,0,0,6,4,0,0,115,2, + 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, + 0,67,0,0,0,115,4,0,0,0,100,1,83,0,41,2, + 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, + 0,0,41,2,114,104,0,0,0,114,162,0,0,0,114,4, + 0,0,0,114,4,0,0,0,114,6,0,0,0,114,183,0, + 0,0,9,4,0,0,115,0,0,0,0,122,30,95,78,97, + 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, + 115,4,0,0,0,100,0,83,0,41,1,78,114,4,0,0, + 0,41,2,114,104,0,0,0,114,187,0,0,0,114,4,0, + 0,0,114,4,0,0,0,114,6,0,0,0,114,188,0,0, + 0,12,4,0,0,115,2,0,0,0,0,1,122,28,95,78, + 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, + 26,0,0,0,116,0,106,1,100,1,124,0,106,2,131,2, + 1,0,116,0,106,3,124,0,124,1,131,2,83,0,41,2, + 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, + 116,104,32,112,97,116,104,32,123,33,114,125,41,4,114,118, + 0,0,0,114,133,0,0,0,114,229,0,0,0,114,189,0, + 0,0,41,2,114,104,0,0,0,114,123,0,0,0,114,4, + 0,0,0,114,4,0,0,0,114,6,0,0,0,114,190,0, + 0,0,15,4,0,0,115,6,0,0,0,0,7,6,1,8, + 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, + 41,12,114,109,0,0,0,114,108,0,0,0,114,110,0,0, + 0,114,182,0,0,0,114,180,0,0,0,114,247,0,0,0, + 114,157,0,0,0,114,199,0,0,0,114,184,0,0,0,114, + 183,0,0,0,114,188,0,0,0,114,190,0,0,0,114,4, + 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, + 0,0,114,246,0,0,0,243,3,0,0,115,16,0,0,0, + 8,1,8,3,12,9,8,3,8,3,8,3,8,3,8,3, + 114,246,0,0,0,99,0,0,0,0,0,0,0,0,0,0, + 0,0,4,0,0,0,64,0,0,0,115,106,0,0,0,101, + 0,90,1,100,0,90,2,100,1,90,3,101,4,100,2,100, + 3,132,0,131,1,90,5,101,4,100,4,100,5,132,0,131, + 1,90,6,101,4,100,6,100,7,132,0,131,1,90,7,101, + 4,100,8,100,9,132,0,131,1,90,8,101,4,100,17,100, + 11,100,12,132,1,131,1,90,9,101,4,100,18,100,13,100, + 14,132,1,131,1,90,10,101,4,100,19,100,15,100,16,132, + 1,131,1,90,11,100,10,83,0,41,20,218,10,80,97,116, + 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, + 2,0,0,0,4,0,0,0,67,0,0,0,115,42,0,0, + 0,120,36,116,0,106,1,106,2,131,0,68,0,93,22,125, + 1,116,3,124,1,100,1,131,2,114,12,124,1,106,4,131, + 0,1,0,113,12,87,0,100,2,83,0,41,3,122,125,67, + 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, - 95,99,97,99,104,101,46,10,10,32,32,32,32,32,32,32, - 32,84,104,105,115,32,109,101,116,104,111,100,32,105,115,32, - 100,101,112,114,101,99,97,116,101,100,46,32,32,85,115,101, - 32,102,105,110,100,95,115,112,101,99,40,41,32,105,110,115, - 116,101,97,100,46,10,10,32,32,32,32,32,32,32,32,78, - 41,2,114,178,0,0,0,114,124,0,0,0,41,4,114,168, - 0,0,0,114,123,0,0,0,114,37,0,0,0,114,162,0, - 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,179,0,0,0,146,4,0,0,115,8,0,0,0,0, - 8,12,1,8,1,4,1,122,22,80,97,116,104,70,105,110, - 100,101,114,46,102,105,110,100,95,109,111,100,117,108,101,41, - 1,78,41,2,78,78,41,1,78,41,12,114,109,0,0,0, - 114,108,0,0,0,114,110,0,0,0,114,111,0,0,0,114, - 180,0,0,0,114,249,0,0,0,114,254,0,0,0,114,0, - 1,0,0,114,1,1,0,0,114,4,1,0,0,114,178,0, - 0,0,114,179,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,114,248,0,0,0, - 28,4,0,0,115,22,0,0,0,8,2,4,2,12,8,12, - 13,12,22,12,15,2,1,12,31,2,1,12,23,2,1,114, - 248,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, - 0,3,0,0,0,64,0,0,0,115,90,0,0,0,101,0, - 90,1,100,0,90,2,100,1,90,3,100,2,100,3,132,0, - 90,4,100,4,100,5,132,0,90,5,101,6,90,7,100,6, - 100,7,132,0,90,8,100,8,100,9,132,0,90,9,100,19, - 100,11,100,12,132,1,90,10,100,13,100,14,132,0,90,11, - 101,12,100,15,100,16,132,0,131,1,90,13,100,17,100,18, - 132,0,90,14,100,10,83,0,41,20,218,10,70,105,108,101, - 70,105,110,100,101,114,122,172,70,105,108,101,45,98,97,115, - 101,100,32,102,105,110,100,101,114,46,10,10,32,32,32,32, - 73,110,116,101,114,97,99,116,105,111,110,115,32,119,105,116, - 104,32,116,104,101,32,102,105,108,101,32,115,121,115,116,101, - 109,32,97,114,101,32,99,97,99,104,101,100,32,102,111,114, - 32,112,101,114,102,111,114,109,97,110,99,101,44,32,98,101, - 105,110,103,10,32,32,32,32,114,101,102,114,101,115,104,101, - 100,32,119,104,101,110,32,116,104,101,32,100,105,114,101,99, - 116,111,114,121,32,116,104,101,32,102,105,110,100,101,114,32, - 105,115,32,104,97,110,100,108,105,110,103,32,104,97,115,32, - 98,101,101,110,32,109,111,100,105,102,105,101,100,46,10,10, - 32,32,32,32,99,2,0,0,0,0,0,0,0,5,0,0, - 0,5,0,0,0,7,0,0,0,115,88,0,0,0,103,0, - 125,3,120,40,124,2,68,0,93,32,92,2,137,0,125,4, - 124,3,106,0,135,0,102,1,100,1,100,2,132,8,124,4, - 68,0,131,1,131,1,1,0,113,10,87,0,124,3,124,0, - 95,1,124,1,112,58,100,3,124,0,95,2,100,6,124,0, - 95,3,116,4,131,0,124,0,95,5,116,4,131,0,124,0, - 95,6,100,5,83,0,41,7,122,154,73,110,105,116,105,97, - 108,105,122,101,32,119,105,116,104,32,116,104,101,32,112,97, - 116,104,32,116,111,32,115,101,97,114,99,104,32,111,110,32, - 97,110,100,32,97,32,118,97,114,105,97,98,108,101,32,110, - 117,109,98,101,114,32,111,102,10,32,32,32,32,32,32,32, - 32,50,45,116,117,112,108,101,115,32,99,111,110,116,97,105, - 110,105,110,103,32,116,104,101,32,108,111,97,100,101,114,32, - 97,110,100,32,116,104,101,32,102,105,108,101,32,115,117,102, - 102,105,120,101,115,32,116,104,101,32,108,111,97,100,101,114, - 10,32,32,32,32,32,32,32,32,114,101,99,111,103,110,105, - 122,101,115,46,99,1,0,0,0,0,0,0,0,2,0,0, - 0,3,0,0,0,51,0,0,0,115,22,0,0,0,124,0, - 93,14,125,1,124,1,136,0,102,2,86,0,1,0,113,2, - 100,0,83,0,41,1,78,114,4,0,0,0,41,2,114,24, - 0,0,0,114,222,0,0,0,41,1,114,124,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,224,0,0,0,175,4, - 0,0,115,2,0,0,0,4,0,122,38,70,105,108,101,70, - 105,110,100,101,114,46,95,95,105,110,105,116,95,95,46,60, - 108,111,99,97,108,115,62,46,60,103,101,110,101,120,112,114, - 62,114,61,0,0,0,114,31,0,0,0,78,114,91,0,0, - 0,41,7,114,147,0,0,0,218,8,95,108,111,97,100,101, - 114,115,114,37,0,0,0,218,11,95,112,97,116,104,95,109, - 116,105,109,101,218,3,115,101,116,218,11,95,112,97,116,104, - 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1,0,0,114,88,0,0,0,114,161,0,0,0,114,166,0, + 0,0,114,170,0,0,0,41,12,218,17,95,98,111,111,116, + 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, + 23,0,0,0,114,27,0,0,0,90,9,111,115,95,109,111, + 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, + 108,101,114,4,0,0,0,114,4,0,0,0,114,6,0,0, + 0,218,6,95,115,101,116,117,112,88,5,0,0,115,82,0, + 0,0,0,8,4,1,6,1,6,3,10,1,10,1,10,1, + 12,2,10,1,16,3,22,1,14,2,22,1,8,1,10,1, + 10,1,4,2,2,1,10,1,6,1,14,1,12,2,8,1, + 12,1,12,1,18,3,2,1,14,1,16,2,10,1,12,3, + 10,1,12,3,10,1,10,1,12,3,14,1,14,1,10,1, + 10,1,10,1,114,32,1,0,0,99,1,0,0,0,0,0, + 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0,114,153,0,0,0,218,6,111,98,106,101,99,116,114,160, + 0,0,0,114,165,0,0,0,114,166,0,0,0,114,181,0, + 0,0,114,191,0,0,0,114,207,0,0,0,114,215,0,0, + 0,114,220,0,0,0,114,226,0,0,0,114,221,0,0,0, + 114,227,0,0,0,114,246,0,0,0,114,248,0,0,0,114, + 5,1,0,0,114,23,1,0,0,114,159,0,0,0,114,32, + 1,0,0,114,34,1,0,0,114,4,0,0,0,114,4,0, + 0,0,114,4,0,0,0,114,6,0,0,0,218,8,60,109, + 111,100,117,108,101,62,8,0,0,0,115,108,0,0,0,4, + 16,4,1,4,1,2,1,6,3,8,17,8,5,8,5,8, + 6,8,12,8,10,8,9,8,5,8,7,10,22,10,121,16, + 1,12,2,4,1,4,2,6,2,6,2,8,2,16,45,8, + 34,8,19,8,12,8,12,8,28,8,17,10,55,10,12,10, + 10,8,14,6,3,4,1,14,67,14,64,14,29,16,110,14, + 41,18,45,18,16,4,3,18,53,14,60,14,42,14,127,0, + 5,14,127,0,22,10,23,8,11,8,68, }; -- cgit v1.2.1 From 2fdfdf47618ed421642a743b67d2616c7dae138e Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Sun, 11 Sep 2016 13:48:15 +0300 Subject: Issue #27129: Replaced wordcode related magic constants with macros. --- Python/ceval.c | 48 +++++----- Python/compile.c | 13 +-- Python/peephole.c | 217 ++++++++++++++++++++++++---------------------- Python/wordcode_helpers.h | 35 ++++---- 4 files changed, 159 insertions(+), 154 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index a396e81ef7..11ad1fed26 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -62,7 +62,7 @@ static int import_all_from(PyObject *, PyObject *); static void format_exc_check_arg(PyObject *, const char *, PyObject *); static void format_exc_unbound(PyCodeObject *co, int oparg); static PyObject * unicode_concatenate(PyObject *, PyObject *, - PyFrameObject *, const unsigned short *); + PyFrameObject *, const _Py_CODEUNIT *); static PyObject * special_lookup(PyObject *, _Py_Identifier *); #define NAME_ERROR_MSG \ @@ -725,7 +725,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) int lastopcode = 0; #endif PyObject **stack_pointer; /* Next free slot in value stack */ - const unsigned short *next_instr; + const _Py_CODEUNIT *next_instr; int opcode; /* Current opcode */ int oparg; /* Current opcode argument, if any */ enum why_code why; /* Reason for block stack unwind */ @@ -743,7 +743,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) time it is tested. */ int instr_ub = -1, instr_lb = 0, instr_prev = -1; - const unsigned short *first_instr; + const _Py_CODEUNIT *first_instr; PyObject *names; PyObject *consts; @@ -864,23 +864,16 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) /* Code access macros */ -#ifdef WORDS_BIGENDIAN - #define OPCODE(word) ((word) >> 8) - #define OPARG(word) ((word) & 255) -#else - #define OPCODE(word) ((word) & 255) - #define OPARG(word) ((word) >> 8) -#endif /* The integer overflow is checked by an assertion below. */ -#define INSTR_OFFSET() (2*(int)(next_instr - first_instr)) +#define INSTR_OFFSET() (sizeof(_Py_CODEUNIT) * (int)(next_instr - first_instr)) #define NEXTOPARG() do { \ - unsigned short word = *next_instr; \ - opcode = OPCODE(word); \ - oparg = OPARG(word); \ + _Py_CODEUNIT word = *next_instr; \ + opcode = _Py_OPCODE(word); \ + oparg = _Py_OPARG(word); \ next_instr++; \ } while (0) -#define JUMPTO(x) (next_instr = first_instr + (x)/2) -#define JUMPBY(x) (next_instr += (x)/2) +#define JUMPTO(x) (next_instr = first_instr + (x) / sizeof(_Py_CODEUNIT)) +#define JUMPBY(x) (next_instr += (x) / sizeof(_Py_CODEUNIT)) /* OpCode prediction macros Some opcodes tend to come in pairs thus making it possible to @@ -913,10 +906,10 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) #else #define PREDICT(op) \ do{ \ - unsigned short word = *next_instr; \ - opcode = OPCODE(word); \ + _Py_CODEUNIT word = *next_instr; \ + opcode = _Py_OPCODE(word); \ if (opcode == op){ \ - oparg = OPARG(word); \ + oparg = _Py_OPARG(word); \ next_instr++; \ goto PRED_##op; \ } \ @@ -1056,9 +1049,9 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) freevars = f->f_localsplus + co->co_nlocals; assert(PyBytes_Check(co->co_code)); assert(PyBytes_GET_SIZE(co->co_code) <= INT_MAX); - assert(PyBytes_GET_SIZE(co->co_code) % 2 == 0); - assert(_Py_IS_ALIGNED(PyBytes_AS_STRING(co->co_code), 2)); - first_instr = (unsigned short*) PyBytes_AS_STRING(co->co_code); + assert(PyBytes_GET_SIZE(co->co_code) % sizeof(_Py_CODEUNIT) == 0); + assert(_Py_IS_ALIGNED(PyBytes_AS_STRING(co->co_code), sizeof(_Py_CODEUNIT))); + first_instr = (_Py_CODEUNIT *) PyBytes_AS_STRING(co->co_code); /* f->f_lasti refers to the index of the last instruction, unless it's -1 in which case next_instr should be first_instr. @@ -1074,10 +1067,11 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) FOR_ITER is effectively a single opcode and f->f_lasti will point to the beginning of the combined pair.) */ + assert(f->f_lasti >= -1); next_instr = first_instr; if (f->f_lasti >= 0) { - assert(f->f_lasti % 2 == 0); - next_instr += f->f_lasti/2 + 1; + assert(f->f_lasti % sizeof(_Py_CODEUNIT) == 0); + next_instr += f->f_lasti / sizeof(_Py_CODEUNIT) + 1; } stack_pointer = f->f_stacktop; assert(stack_pointer != NULL); @@ -1125,7 +1119,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) Py_MakePendingCalls() above. */ if (_Py_atomic_load_relaxed(&eval_breaker)) { - if (OPCODE(*next_instr) == SETUP_FINALLY) { + if (_Py_OPCODE(*next_instr) == SETUP_FINALLY) { /* Make the last opcode before a try: finally: block uninterruptible. */ goto fast_next_opcode; @@ -2049,7 +2043,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) f->f_stacktop = stack_pointer; why = WHY_YIELD; /* and repeat... */ - f->f_lasti -= 2; + f->f_lasti -= sizeof(_Py_CODEUNIT); goto fast_yield; } @@ -5321,7 +5315,7 @@ format_exc_unbound(PyCodeObject *co, int oparg) static PyObject * unicode_concatenate(PyObject *v, PyObject *w, - PyFrameObject *f, const unsigned short *next_instr) + PyFrameObject *f, const _Py_CODEUNIT *next_instr) { PyObject *res; if (Py_REFCNT(v) == 2) { diff --git a/Python/compile.c b/Python/compile.c index 4631dbbf18..6d64c076e1 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -4948,7 +4948,7 @@ assemble_lnotab(struct assembler *a, struct instr *i) Py_ssize_t len; unsigned char *lnotab; - d_bytecode = a->a_offset - a->a_lineno_off; + d_bytecode = (a->a_offset - a->a_lineno_off) * sizeof(_Py_CODEUNIT); d_lineno = i->i_lineno - a->a_lineno; assert(d_bytecode >= 0); @@ -5055,21 +5055,21 @@ assemble_emit(struct assembler *a, struct instr *i) { int size, arg = 0; Py_ssize_t len = PyBytes_GET_SIZE(a->a_bytecode); - char *code; + _Py_CODEUNIT *code; arg = i->i_oparg; size = instrsize(arg); if (i->i_lineno && !assemble_lnotab(a, i)) return 0; - if (a->a_offset + size >= len) { + if (a->a_offset + size >= len / (int)sizeof(_Py_CODEUNIT)) { if (len > PY_SSIZE_T_MAX / 2) return 0; if (_PyBytes_Resize(&a->a_bytecode, len * 2) < 0) return 0; } - code = PyBytes_AS_STRING(a->a_bytecode) + a->a_offset; + code = (_Py_CODEUNIT *)PyBytes_AS_STRING(a->a_bytecode) + a->a_offset; a->a_offset += size; - write_op_arg((unsigned char*)code, i->i_opcode, arg, size); + write_op_arg(code, i->i_opcode, arg, size); return 1; } @@ -5106,6 +5106,7 @@ assemble_jump_offsets(struct assembler *a, struct compiler *c) if (instr->i_jrel) { instr->i_oparg -= bsize; } + instr->i_oparg *= sizeof(_Py_CODEUNIT); if (instrsize(instr->i_oparg) != isize) { extended_arg_recompile = 1; } @@ -5351,7 +5352,7 @@ assemble(struct compiler *c, int addNone) if (_PyBytes_Resize(&a.a_lnotab, a.a_lnotab_off) < 0) goto error; - if (_PyBytes_Resize(&a.a_bytecode, a.a_offset) < 0) + if (_PyBytes_Resize(&a.a_bytecode, a.a_offset * sizeof(_Py_CODEUNIT)) < 0) goto error; co = makecode(c, &a); diff --git a/Python/peephole.c b/Python/peephole.c index b2c0279b73..68e36f7331 100644 --- a/Python/peephole.c +++ b/Python/peephole.c @@ -17,7 +17,8 @@ || op==POP_JUMP_IF_FALSE || op==POP_JUMP_IF_TRUE \ || op==JUMP_IF_FALSE_OR_POP || op==JUMP_IF_TRUE_OR_POP) #define JUMPS_ON_TRUE(op) (op==POP_JUMP_IF_TRUE || op==JUMP_IF_TRUE_OR_POP) -#define GETJUMPTGT(arr, i) (get_arg(arr, i) + (ABSOLUTE_JUMP(arr[i]) ? 0 : i+2)) +#define GETJUMPTGT(arr, i) (get_arg(arr, i) / sizeof(_Py_CODEUNIT) + \ + (ABSOLUTE_JUMP(_Py_OPCODE(arr[i])) ? 0 : i+1)) #define ISBASICBLOCK(blocks, start, end) \ (blocks[start]==blocks[end]) @@ -40,7 +41,7 @@ #define CONST_STACK_PUSH_OP(i) do { \ PyObject *_x; \ - assert(codestr[i] == LOAD_CONST); \ + assert(_Py_OPCODE(codestr[i]) == LOAD_CONST); \ assert(PyList_GET_SIZE(consts) > (Py_ssize_t)get_arg(codestr, i)); \ _x = PyList_GET_ITEM(consts, get_arg(codestr, i)); \ if (++const_stack_top >= const_stack_size) { \ @@ -72,33 +73,33 @@ Callers are responsible to check CONST_STACK_LEN beforehand. */ static Py_ssize_t -lastn_const_start(unsigned char *codestr, Py_ssize_t i, Py_ssize_t n) +lastn_const_start(const _Py_CODEUNIT *codestr, Py_ssize_t i, Py_ssize_t n) { - assert(n > 0 && (i&1) == 0); + assert(n > 0); for (;;) { - i -= 2; + i--; assert(i >= 0); - if (codestr[i] == LOAD_CONST) { + if (_Py_OPCODE(codestr[i]) == LOAD_CONST) { if (!--n) { - while (i > 0 && codestr[i-2] == EXTENDED_ARG) { - i -= 2; + while (i > 0 && _Py_OPCODE(codestr[i-1]) == EXTENDED_ARG) { + i--; } return i; } } else { - assert(codestr[i] == NOP || codestr[i] == EXTENDED_ARG); + assert(_Py_OPCODE(codestr[i]) == NOP || + _Py_OPCODE(codestr[i]) == EXTENDED_ARG); } } } /* Scans through EXTENDED ARGs, seeking the index of the effective opcode */ static Py_ssize_t -find_op(unsigned char *codestr, Py_ssize_t i) +find_op(const _Py_CODEUNIT *codestr, Py_ssize_t i) { - assert((i&1) == 0); - while (codestr[i] == EXTENDED_ARG) { - i += 2; + while (_Py_OPCODE(codestr[i]) == EXTENDED_ARG) { + i++; } return i; } @@ -106,27 +107,34 @@ find_op(unsigned char *codestr, Py_ssize_t i) /* Given the index of the effective opcode, scan back to construct the oparg with EXTENDED_ARG */ static unsigned int -get_arg(unsigned char *codestr, Py_ssize_t i) +get_arg(const _Py_CODEUNIT *codestr, Py_ssize_t i) { - unsigned int oparg = codestr[i+1]; - assert((i&1) == 0); - if (i >= 2 && codestr[i-2] == EXTENDED_ARG) { - oparg |= codestr[i-1] << 8; - if (i >= 4 && codestr[i-4] == EXTENDED_ARG) { - oparg |= codestr[i-3] << 16; - if (i >= 6 && codestr[i-6] == EXTENDED_ARG) { - oparg |= codestr[i-5] << 24; + _Py_CODEUNIT word; + unsigned int oparg = _Py_OPARG(codestr[i]); + if (i >= 1 && _Py_OPCODE(word = codestr[i-1]) == EXTENDED_ARG) { + oparg |= _Py_OPARG(word) << 8; + if (i >= 2 && _Py_OPCODE(word = codestr[i-2]) == EXTENDED_ARG) { + oparg |= _Py_OPARG(word) << 16; + if (i >= 3 && _Py_OPCODE(word = codestr[i-3]) == EXTENDED_ARG) { + oparg |= _Py_OPARG(word) << 24; } } } return oparg; } +/* Fill the region with NOPs. */ +static void +fill_nops(_Py_CODEUNIT *codestr, Py_ssize_t start, Py_ssize_t end) +{ + memset(codestr + start, NOP, (end - start) * sizeof(_Py_CODEUNIT)); +} + /* Given the index of the effective opcode, attempt to replace the argument, taking into account EXTENDED_ARG. Returns -1 on failure, or the new op index on success */ static Py_ssize_t -set_arg(unsigned char *codestr, Py_ssize_t i, unsigned int oparg) +set_arg(_Py_CODEUNIT *codestr, Py_ssize_t i, unsigned int oparg) { unsigned int curarg = get_arg(codestr, i); int curilen, newilen; @@ -138,8 +146,8 @@ set_arg(unsigned char *codestr, Py_ssize_t i, unsigned int oparg) return -1; } - write_op_arg(codestr + i + 2 - curilen, codestr[i], oparg, newilen); - memset(codestr + i + 2 - curilen + newilen, NOP, curilen - newilen); + write_op_arg(codestr + i + 1 - curilen, _Py_OPCODE(codestr[i]), oparg, newilen); + fill_nops(codestr, i + 1 - curilen + newilen, i + 1); return i-curilen+newilen; } @@ -147,17 +155,16 @@ set_arg(unsigned char *codestr, Py_ssize_t i, unsigned int oparg) Preceding memory in the region is overwritten with NOPs. Returns -1 on failure, op index on success */ static Py_ssize_t -copy_op_arg(unsigned char *codestr, Py_ssize_t i, unsigned char op, +copy_op_arg(_Py_CODEUNIT *codestr, Py_ssize_t i, unsigned char op, unsigned int oparg, Py_ssize_t maxi) { int ilen = instrsize(oparg); - assert((i&1) == 0); if (i + ilen > maxi) { return -1; } write_op_arg(codestr + maxi - ilen, op, oparg, ilen); - memset(codestr + i, NOP, maxi - i - ilen); - return maxi - 2; + fill_nops(codestr, i, maxi - ilen); + return maxi - 1; } /* Replace LOAD_CONST c1, LOAD_CONST c2 ... LOAD_CONST cn, BUILD_TUPLE n @@ -170,7 +177,7 @@ copy_op_arg(unsigned char *codestr, Py_ssize_t i, unsigned char op, test; for BUILD_SET it assembles a frozenset rather than a tuple. */ static Py_ssize_t -fold_tuple_on_constants(unsigned char *codestr, Py_ssize_t c_start, +fold_tuple_on_constants(_Py_CODEUNIT *codestr, Py_ssize_t c_start, Py_ssize_t opcode_end, unsigned char opcode, PyObject *consts, PyObject **objs, int n) { @@ -222,7 +229,7 @@ fold_tuple_on_constants(unsigned char *codestr, Py_ssize_t c_start, becoming large in the presence of code like: (None,)*1000. */ static Py_ssize_t -fold_binops_on_constants(unsigned char *codestr, Py_ssize_t c_start, +fold_binops_on_constants(_Py_CODEUNIT *codestr, Py_ssize_t c_start, Py_ssize_t opcode_end, unsigned char opcode, PyObject *consts, PyObject **objs) { @@ -311,7 +318,7 @@ fold_binops_on_constants(unsigned char *codestr, Py_ssize_t c_start, } static Py_ssize_t -fold_unaryops_on_constants(unsigned char *codestr, Py_ssize_t c_start, +fold_unaryops_on_constants(_Py_CODEUNIT *codestr, Py_ssize_t c_start, Py_ssize_t opcode_end, unsigned char opcode, PyObject *consts, PyObject *v) { @@ -359,7 +366,7 @@ fold_unaryops_on_constants(unsigned char *codestr, Py_ssize_t c_start, } static unsigned int * -markblocks(unsigned char *code, Py_ssize_t len) +markblocks(_Py_CODEUNIT *code, Py_ssize_t len) { unsigned int *blocks = PyMem_New(unsigned int, len); int i, j, opcode, blockcnt = 0; @@ -371,8 +378,8 @@ markblocks(unsigned char *code, Py_ssize_t len) memset(blocks, 0, len*sizeof(int)); /* Mark labels in the first pass */ - for (i=0 ; i= 2 && codestr[op_start-2] == EXTENDED_ARG) { - op_start -= 2; + while (op_start >= 1 && _Py_OPCODE(codestr[op_start-1]) == EXTENDED_ARG) { + op_start--; } - nexti = i + 2; - while (nexti < codelen && codestr[nexti] == EXTENDED_ARG) - nexti += 2; - nextop = nexti < codelen ? codestr[nexti] : 0; + nexti = i + 1; + while (nexti < codelen && _Py_OPCODE(codestr[nexti]) == EXTENDED_ARG) + nexti++; + nextop = nexti < codelen ? _Py_OPCODE(codestr[nexti]) : 0; if (!in_consts) { CONST_STACK_RESET(); @@ -488,10 +496,10 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, with POP_JUMP_IF_TRUE */ case UNARY_NOT: if (nextop != POP_JUMP_IF_FALSE - || !ISBASICBLOCK(blocks, op_start, i+2)) + || !ISBASICBLOCK(blocks, op_start, i + 1)) break; - memset(codestr + op_start, NOP, i - op_start + 2); - codestr[nexti] = POP_JUMP_IF_TRUE; + fill_nops(codestr, op_start, i + 1); + codestr[nexti] = PACKOPARG(POP_JUMP_IF_TRUE, _Py_OPARG(codestr[nexti])); break; /* not a is b --> a is not b @@ -503,10 +511,10 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, j = get_arg(codestr, i); if (j < 6 || j > 9 || nextop != UNARY_NOT || - !ISBASICBLOCK(blocks, op_start, i + 2)) + !ISBASICBLOCK(blocks, op_start, i + 1)) break; - codestr[i+1] = (j^1); - memset(codestr + i + 2, NOP, nexti - i); + codestr[i] = PACKOPARG(opcode, j^1); + fill_nops(codestr, i + 1, nexti + 1); break; /* Skip over LOAD_CONST trueconst @@ -515,10 +523,10 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, case LOAD_CONST: CONST_STACK_PUSH_OP(i); if (nextop != POP_JUMP_IF_FALSE || - !ISBASICBLOCK(blocks, op_start, i + 2) || + !ISBASICBLOCK(blocks, op_start, i + 1) || !PyObject_IsTrue(PyList_GET_ITEM(consts, get_arg(codestr, i)))) break; - memset(codestr + op_start, NOP, nexti - op_start + 2); + fill_nops(codestr, op_start, nexti + 1); CONST_STACK_POP(1); break; @@ -537,10 +545,10 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, ISBASICBLOCK(blocks, h, op_start)) || ((opcode == BUILD_LIST || opcode == BUILD_SET) && ((nextop==COMPARE_OP && - (codestr[nexti+1]==6 || - codestr[nexti+1]==7)) || - nextop == GET_ITER) && ISBASICBLOCK(blocks, h, i + 2))) { - h = fold_tuple_on_constants(codestr, h, i+2, opcode, + (_Py_OPARG(codestr[nexti]) == PyCmp_IN || + _Py_OPARG(codestr[nexti]) == PyCmp_NOT_IN)) || + nextop == GET_ITER) && ISBASICBLOCK(blocks, h, i + 1))) { + h = fold_tuple_on_constants(codestr, h, i + 1, opcode, consts, CONST_STACK_LASTN(j), j); if (h >= 0) { CONST_STACK_POP(j); @@ -550,23 +558,20 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, } } if (nextop != UNPACK_SEQUENCE || - !ISBASICBLOCK(blocks, op_start, i + 2) || + !ISBASICBLOCK(blocks, op_start, i + 1) || j != get_arg(codestr, nexti) || opcode == BUILD_SET) break; if (j < 2) { - memset(codestr+op_start, NOP, nexti - op_start + 2); + fill_nops(codestr, op_start, nexti + 1); } else if (j == 2) { - codestr[op_start] = ROT_TWO; - codestr[op_start + 1] = 0; - memset(codestr + op_start + 2, NOP, nexti - op_start); + codestr[op_start] = PACKOPARG(ROT_TWO, 0); + fill_nops(codestr, op_start + 1, nexti + 1); CONST_STACK_RESET(); } else if (j == 3) { - codestr[op_start] = ROT_THREE; - codestr[op_start + 1] = 0; - codestr[op_start + 2] = ROT_TWO; - codestr[op_start + 3] = 0; - memset(codestr + op_start + 4, NOP, nexti - op_start - 2); + codestr[op_start] = PACKOPARG(ROT_THREE, 0); + codestr[op_start + 1] = PACKOPARG(ROT_TWO, 0); + fill_nops(codestr, op_start + 2, nexti + 1); CONST_STACK_RESET(); } break; @@ -590,7 +595,7 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, break; h = lastn_const_start(codestr, op_start, 2); if (ISBASICBLOCK(blocks, h, op_start)) { - h = fold_binops_on_constants(codestr, h, i+2, opcode, + h = fold_binops_on_constants(codestr, h, i + 1, opcode, consts, CONST_STACK_LASTN(2)); if (h >= 0) { CONST_STACK_POP(2); @@ -608,7 +613,7 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, break; h = lastn_const_start(codestr, op_start, 1); if (ISBASICBLOCK(blocks, h, op_start)) { - h = fold_unaryops_on_constants(codestr, h, i+2, opcode, + h = fold_unaryops_on_constants(codestr, h, i + 1, opcode, consts, *CONST_STACK_LASTN(1)); if (h >= 0) { CONST_STACK_POP(1); @@ -628,15 +633,15 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, x:JUMP_IF_FALSE_OR_POP y y:JUMP_IF_FALSE_OR_POP z --> x:JUMP_IF_FALSE_OR_POP z x:JUMP_IF_FALSE_OR_POP y y:JUMP_IF_TRUE_OR_POP z - --> x:POP_JUMP_IF_FALSE y+2 - where y+2 is the instruction following the second test. + --> x:POP_JUMP_IF_FALSE y+1 + where y+1 is the instruction following the second test. */ case JUMP_IF_FALSE_OR_POP: case JUMP_IF_TRUE_OR_POP: - h = get_arg(codestr, i); + h = get_arg(codestr, i) / sizeof(_Py_CODEUNIT); tgt = find_op(codestr, h); - j = codestr[tgt]; + j = _Py_OPCODE(codestr[tgt]); if (CONDITIONAL_JUMP(j)) { /* NOTE: all possible jumps here are absolute. */ if (JUMPS_ON_TRUE(j) == JUMPS_ON_TRUE(opcode)) { @@ -649,14 +654,14 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, jump past it), and all conditional jumps pop their argument when they're not taken (so change the first jump to pop its argument when it's taken). */ - h = set_arg(codestr, i, tgt + 2); + h = set_arg(codestr, i, (tgt + 1) * sizeof(_Py_CODEUNIT)); j = opcode == JUMP_IF_TRUE_OR_POP ? POP_JUMP_IF_TRUE : POP_JUMP_IF_FALSE; } if (h >= 0) { nexti = h; - codestr[nexti] = j; + codestr[nexti] = PACKOPARG(j, _Py_OPARG(codestr[nexti])); break; } } @@ -678,32 +683,32 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, tgt = find_op(codestr, h); /* Replace JUMP_* to a RETURN into just a RETURN */ if (UNCONDITIONAL_JUMP(opcode) && - codestr[tgt] == RETURN_VALUE) { - codestr[op_start] = RETURN_VALUE; - codestr[op_start + 1] = 0; - memset(codestr + op_start + 2, NOP, i - op_start); - } else if (UNCONDITIONAL_JUMP(codestr[tgt])) { + _Py_OPCODE(codestr[tgt]) == RETURN_VALUE) { + codestr[op_start] = PACKOPARG(RETURN_VALUE, 0); + fill_nops(codestr, op_start + 1, i + 1); + } else if (UNCONDITIONAL_JUMP(_Py_OPCODE(codestr[tgt]))) { j = GETJUMPTGT(codestr, tgt); if (opcode == JUMP_FORWARD) { /* JMP_ABS can go backwards */ opcode = JUMP_ABSOLUTE; } else if (!ABSOLUTE_JUMP(opcode)) { - if ((Py_ssize_t)j < i + 2) { + if ((Py_ssize_t)j < i + 1) { break; /* No backward relative jumps */ } - j -= i + 2; /* Calc relative jump addr */ + j -= i + 1; /* Calc relative jump addr */ } - copy_op_arg(codestr, op_start, opcode, j, i+2); + j *= sizeof(_Py_CODEUNIT); + copy_op_arg(codestr, op_start, opcode, j, i + 1); } break; /* Remove unreachable ops after RETURN */ case RETURN_VALUE: - h = i + 2; - while (h + 2 < codelen && ISBASICBLOCK(blocks, i, h + 2)) { - h += 2; + h = i + 1; + while (h + 1 < codelen && ISBASICBLOCK(blocks, i, h + 1)) { + h++; } - if (h > i + 2) { - memset(codestr + i + 2, NOP, h - i); + if (h > i + 1) { + fill_nops(codestr, i + 1, h + 1); nexti = find_op(codestr, h); } break; @@ -711,20 +716,21 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, } /* Fixup lnotab */ - for (i=0, nops=0 ; i new code offset */ blocks[i] = i - nops; - if (codestr[i] == NOP) - nops += 2; + if (_Py_OPCODE(codestr[i]) == NOP) + nops++; } cum_orig_offset = 0; last_offset = 0; for (i=0 ; i < tabsiz ; i+=2) { unsigned int offset_delta, new_offset; cum_orig_offset += lnotab[i]; - assert((cum_orig_offset & 1) == 0); - new_offset = blocks[cum_orig_offset]; + assert(cum_orig_offset % sizeof(_Py_CODEUNIT) == 0); + new_offset = blocks[cum_orig_offset / sizeof(_Py_CODEUNIT)] * + sizeof(_Py_CODEUNIT); offset_delta = new_offset - last_offset; assert(offset_delta <= 255); lnotab[i] = (unsigned char)offset_delta; @@ -732,13 +738,13 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, } /* Remove NOPs and fixup jump targets */ - for (op_start=0, i=0, h=0 ; i nexti) goto exitUnchanged; /* If instrsize(j) < nexti, we'll emit EXTENDED_ARG 0 */ @@ -772,7 +779,7 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, CONST_STACK_DELETE(); PyMem_Free(blocks); - code = PyBytes_FromStringAndSize((char *)codestr, h); + code = PyBytes_FromStringAndSize((char *)codestr, h * sizeof(_Py_CODEUNIT)); PyMem_Free(codestr); return code; diff --git a/Python/wordcode_helpers.h b/Python/wordcode_helpers.h index b61ba33d8f..b0e3a91776 100644 --- a/Python/wordcode_helpers.h +++ b/Python/wordcode_helpers.h @@ -2,35 +2,38 @@ optimizer. */ -/* Minimum number of bytes necessary to encode instruction with EXTENDED_ARGs */ +#ifdef WORDS_BIGENDIAN +# define PACKOPARG(opcode, oparg) ((_Py_CODEUNIT)(((opcode) << 8) | (oparg))) +#else +# define PACKOPARG(opcode, oparg) ((_Py_CODEUNIT)(((oparg) << 8) | (opcode))) +#endif + +/* Minimum number of code units necessary to encode instruction with + EXTENDED_ARGs */ static int instrsize(unsigned int oparg) { - return oparg <= 0xff ? 2 : - oparg <= 0xffff ? 4 : - oparg <= 0xffffff ? 6 : - 8; + return oparg <= 0xff ? 1 : + oparg <= 0xffff ? 2 : + oparg <= 0xffffff ? 3 : + 4; } /* Spits out op/oparg pair using ilen bytes. codestr should be pointed at the desired location of the first EXTENDED_ARG */ static void -write_op_arg(unsigned char *codestr, unsigned char opcode, +write_op_arg(_Py_CODEUNIT *codestr, unsigned char opcode, unsigned int oparg, int ilen) { switch (ilen) { - case 8: - *codestr++ = EXTENDED_ARG; - *codestr++ = (oparg >> 24) & 0xff; - case 6: - *codestr++ = EXTENDED_ARG; - *codestr++ = (oparg >> 16) & 0xff; case 4: - *codestr++ = EXTENDED_ARG; - *codestr++ = (oparg >> 8) & 0xff; + *codestr++ = PACKOPARG(EXTENDED_ARG, (oparg >> 24) & 0xff); + case 3: + *codestr++ = PACKOPARG(EXTENDED_ARG, (oparg >> 16) & 0xff); case 2: - *codestr++ = opcode; - *codestr++ = oparg & 0xff; + *codestr++ = PACKOPARG(EXTENDED_ARG, (oparg >> 8) & 0xff); + case 1: + *codestr++ = PACKOPARG(opcode, oparg & 0xff); break; default: assert(0); -- cgit v1.2.1 From ca1f8ea6e59dfe16f0ca2da55e71fc635da6343a Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Sun, 11 Sep 2016 15:19:12 +0300 Subject: Fixed refactoring bug in dd046963bd42 (issue27129). --- Python/peephole.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/peephole.c b/Python/peephole.c index 68e36f7331..84eb2dbefd 100644 --- a/Python/peephole.c +++ b/Python/peephole.c @@ -475,7 +475,7 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, CONST_STACK_CREATE(); for (i=find_op(codestr, 0) ; i= 1 && _Py_OPCODE(codestr[op_start-1]) == EXTENDED_ARG) { op_start--; -- cgit v1.2.1 From dbb07196c8bebd4c6563e3416eac0e3c866303c4 Mon Sep 17 00:00:00 2001 From: Guido van Rossum Date: Sun, 11 Sep 2016 09:45:24 -0700 Subject: Issue #28076: Variable annotations should be mangled for private names. By Ivan Levkivskyi. --- Python/compile.c | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/compile.c b/Python/compile.c index 6d64c076e1..6bab86eb0b 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -4562,6 +4562,7 @@ static int compiler_annassign(struct compiler *c, stmt_ty s) { expr_ty targ = s->v.AnnAssign.target; + PyObject* mangled; assert(s->kind == AnnAssign_kind); @@ -4576,8 +4577,13 @@ compiler_annassign(struct compiler *c, stmt_ty s) if (s->v.AnnAssign.simple && (c->u->u_scope_type == COMPILER_SCOPE_MODULE || c->u->u_scope_type == COMPILER_SCOPE_CLASS)) { + mangled = _Py_Mangle(c->u->u_private, targ->v.Name.id); + if (!mangled) { + return 0; + } VISIT(c, expr, s->v.AnnAssign.annotation); - ADDOP_O(c, STORE_ANNOTATION, targ->v.Name.id, names) + /* ADDOP_N decrefs its argument */ + ADDOP_N(c, STORE_ANNOTATION, mangled, names); } break; case Attribute_kind: -- cgit v1.2.1 From e74d571e49d3fdb4389b79fa1392dd75e2acb916 Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Mon, 12 Sep 2016 00:52:40 +0300 Subject: Issue #27213: Fixed different issues with reworked CALL_FUNCTION* opcodes. * BUILD_TUPLE_UNPACK and BUILD_MAP_UNPACK_WITH_CALL no longer generated with single tuple or dict. * Restored more informative error messages for incorrect var-positional and var-keyword arguments. * Removed code duplications in _PyEval_EvalCodeWithName(). * Removed redundant runtime checks and parameters in _PyStack_AsDict(). * Added a workaround and enabled previously disabled test in test_traceback. * Removed dead code from the dis module. --- Python/ceval.c | 141 +- Python/compile.c | 9 +- Python/importlib.h | 2892 ++++++++++++++++---------------- Python/importlib_external.h | 3804 +++++++++++++++++++++---------------------- 4 files changed, 3409 insertions(+), 3437 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 11ad1fed26..06d3a659bd 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -2513,14 +2513,9 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) TARGET(BUILD_LIST_UNPACK) { int convert_to_tuple = opcode == BUILD_TUPLE_UNPACK; Py_ssize_t i; - PyObject *sum; + PyObject *sum = PyList_New(0); PyObject *return_value; - if (convert_to_tuple && oparg == 1 && PyTuple_CheckExact(TOP())) { - DISPATCH(); - } - - sum = PyList_New(0); if (sum == NULL) goto error; @@ -2708,13 +2703,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) TARGET(BUILD_MAP_UNPACK) { int with_call = opcode == BUILD_MAP_UNPACK_WITH_CALL; Py_ssize_t i; - PyObject *sum; - - if (with_call && oparg == 1 && PyDict_CheckExact(TOP())) { - DISPATCH(); - } - - sum = PyDict_New(); + PyObject *sum = PyDict_New(); if (sum == NULL) goto error; @@ -3290,11 +3279,53 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) PCALL(PCALL_ALL); if (oparg & 0x01) { kwargs = POP(); + if (!PyDict_CheckExact(kwargs)) { + PyObject *d = PyDict_New(); + if (d == NULL) + goto error; + if (PyDict_Update(d, kwargs) != 0) { + Py_DECREF(d); + /* PyDict_Update raises attribute + * error (percolated from an attempt + * to get 'keys' attribute) instead of + * a type error if its second argument + * is not a mapping. + */ + if (PyErr_ExceptionMatches(PyExc_AttributeError)) { + func = SECOND(); + PyErr_Format(PyExc_TypeError, + "%.200s%.200s argument after ** " + "must be a mapping, not %.200s", + PyEval_GetFuncName(func), + PyEval_GetFuncDesc(func), + kwargs->ob_type->tp_name); + } + goto error; + } + Py_DECREF(kwargs); + kwargs = d; + } assert(PyDict_CheckExact(kwargs)); } callargs = POP(); - assert(PyTuple_CheckExact(callargs)); func = TOP(); + if (!PyTuple_Check(callargs)) { + if (Py_TYPE(callargs)->tp_iter == NULL && + !PySequence_Check(callargs)) { + PyErr_Format(PyExc_TypeError, + "%.200s%.200s argument after * " + "must be an iterable, not %.200s", + PyEval_GetFuncName(func), + PyEval_GetFuncDesc(func), + callargs->ob_type->tp_name); + goto error; + } + Py_SETREF(callargs, PySequence_Tuple(callargs)); + if (callargs == NULL) { + goto error; + } + } + assert(PyTuple_Check(callargs)); result = do_call_core(func, callargs, kwargs); Py_DECREF(func); @@ -3796,8 +3827,8 @@ too_many_positional(PyCodeObject *co, Py_ssize_t given, Py_ssize_t defcount, static PyObject * _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, PyObject **args, Py_ssize_t argcount, - PyObject **kws, Py_ssize_t kwcount, - PyObject *kwnames, PyObject **kwstack, + PyObject **kwnames, PyObject **kwargs, + Py_ssize_t kwcount, int kwstep, PyObject **defs, Py_ssize_t defcount, PyObject *kwdefs, PyObject *closure, PyObject *name, PyObject *qualname) @@ -3811,9 +3842,6 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, const Py_ssize_t total_args = co->co_argcount + co->co_kwonlyargcount; Py_ssize_t i, n; PyObject *kwdict; - Py_ssize_t kwcount2 = kwnames == NULL ? 0 : PyTuple_GET_SIZE(kwnames); - - assert((kwcount == 0) || (kws != NULL)); if (globals == NULL) { PyErr_SetString(PyExc_SystemError, @@ -3873,11 +3901,12 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, } } - /* Handle keyword arguments passed as an array of (key, value) pairs */ - for (i = 0; i < kwcount; i++) { + /* Handle keyword arguments passed as two strided arrays */ + kwcount *= kwstep; + for (i = 0; i < kwcount; i += kwstep) { PyObject **co_varnames; - PyObject *keyword = kws[2*i]; - PyObject *value = kws[2*i + 1]; + PyObject *keyword = kwnames[i]; + PyObject *value = kwargs[i]; Py_ssize_t j; if (keyword == NULL || !PyUnicode_Check(keyword)) { @@ -3932,61 +3961,6 @@ _PyEval_EvalCodeWithName(PyObject *_co, PyObject *globals, PyObject *locals, SETLOCAL(j, value); } - /* Handle keyword arguments passed as keys tuple + values array */ - for (i = 0; i < kwcount2; i++) { - PyObject **co_varnames; - PyObject *keyword = PyTuple_GET_ITEM(kwnames, i); - PyObject *value = kwstack[i]; - int j; - if (keyword == NULL || !PyUnicode_Check(keyword)) { - PyErr_Format(PyExc_TypeError, - "%U() keywords must be strings", - co->co_name); - goto fail; - } - /* Speed hack: do raw pointer compares. As names are - normally interned this should almost always hit. */ - co_varnames = ((PyTupleObject *)(co->co_varnames))->ob_item; - for (j = 0; j < total_args; j++) { - PyObject *nm = co_varnames[j]; - if (nm == keyword) - goto kw_found2; - } - /* Slow fallback, just in case */ - for (j = 0; j < total_args; j++) { - PyObject *nm = co_varnames[j]; - int cmp = PyObject_RichCompareBool( - keyword, nm, Py_EQ); - if (cmp > 0) - goto kw_found2; - else if (cmp < 0) - goto fail; - } - if (j >= total_args && kwdict == NULL) { - PyErr_Format(PyExc_TypeError, - "%U() got an unexpected " - "keyword argument '%S'", - co->co_name, - keyword); - goto fail; - } - if (PyDict_SetItem(kwdict, keyword, value) == -1) { - goto fail; - } - continue; - kw_found2: - if (GETLOCAL(j) != NULL) { - PyErr_Format(PyExc_TypeError, - "%U() got multiple " - "values for argument '%S'", - co->co_name, - keyword); - goto fail; - } - Py_INCREF(value); - SETLOCAL(j, value); - } - /* Check the number of positional arguments */ if (argcount > co->co_argcount && !(co->co_flags & CO_VARARGS)) { too_many_positional(co, argcount, defcount, fastlocals); @@ -4138,8 +4112,7 @@ PyEval_EvalCodeEx(PyObject *_co, PyObject *globals, PyObject *locals, { return _PyEval_EvalCodeWithName(_co, globals, locals, args, argcount, - kws, kwcount, - NULL, NULL, + kws, kws + 1, kwcount, 2, defs, defcount, kwdefs, closure, NULL, NULL); @@ -4923,8 +4896,9 @@ fast_function(PyObject *func, PyObject **stack, } return _PyEval_EvalCodeWithName((PyObject*)co, globals, (PyObject *)NULL, stack, nargs, - NULL, 0, - kwnames, stack + nargs, + nkwargs ? &PyTuple_GET_ITEM(kwnames, 0) : NULL, + stack + nargs, + nkwargs, 1, d, (int)nd, kwdefs, closure, name, qualname); } @@ -5014,8 +4988,7 @@ _PyFunction_FastCallDict(PyObject *func, PyObject **args, Py_ssize_t nargs, result = _PyEval_EvalCodeWithName((PyObject*)co, globals, (PyObject *)NULL, args, nargs, - k, nk, - NULL, NULL, + k, k + 1, nk, 2, d, nd, kwdefs, closure, name, qualname); Py_XDECREF(kwtuple); diff --git a/Python/compile.c b/Python/compile.c index 6bab86eb0b..9502feef7c 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -3503,7 +3503,7 @@ compiler_call_helper(struct compiler *c, asdl_seq *keywords) { Py_ssize_t i, nseen, nelts, nkwelts; - int musttupleunpack = 0, mustdictunpack = 0; + int mustdictunpack = 0; /* the number of tuples and dictionaries on the stack */ Py_ssize_t nsubargs = 0, nsubkwargs = 0; @@ -3532,7 +3532,6 @@ compiler_call_helper(struct compiler *c, } VISIT(c, expr, elt->v.Starred.value); nsubargs++; - musttupleunpack = 1; } else { VISIT(c, expr, elt); @@ -3541,13 +3540,13 @@ compiler_call_helper(struct compiler *c, } /* Same dance again for keyword arguments */ - if (musttupleunpack || mustdictunpack) { + if (nsubargs || mustdictunpack) { if (nseen) { /* Pack up any trailing positional arguments. */ ADDOP_I(c, BUILD_TUPLE, nseen); nsubargs++; } - if (musttupleunpack || nsubargs > 1) { + if (nsubargs > 1) { /* If we ended up with more than one stararg, we need to concatenate them into a single sequence. */ ADDOP_I(c, BUILD_TUPLE_UNPACK, nsubargs); @@ -3579,7 +3578,7 @@ compiler_call_helper(struct compiler *c, return 0; nsubkwargs++; } - if (mustdictunpack || nsubkwargs > 1) { + if (nsubkwargs > 1) { /* Pack it all up */ ADDOP_I(c, BUILD_MAP_UNPACK_WITH_CALL, nsubkwargs); } diff --git a/Python/importlib.h b/Python/importlib.h index c63621ede4..51a6794364 100644 --- a/Python/importlib.h +++ b/Python/importlib.h @@ -366,1461 +366,1461 @@ const unsigned char _Py_M__importlib[] = { 99,107,95,109,111,100,117,108,101,178,0,0,0,115,14,0, 0,0,0,7,8,1,8,1,2,1,12,1,14,3,6,2, 114,56,0,0,0,99,1,0,0,0,0,0,0,0,3,0, - 0,0,3,0,0,0,79,0,0,0,115,14,0,0,0,124, - 0,124,1,152,1,124,2,151,1,142,1,83,0,41,1,97, - 46,1,0,0,114,101,109,111,118,101,95,105,109,112,111,114, - 116,108,105,98,95,102,114,97,109,101,115,32,105,110,32,105, - 109,112,111,114,116,46,99,32,119,105,108,108,32,97,108,119, - 97,121,115,32,114,101,109,111,118,101,32,115,101,113,117,101, - 110,99,101,115,10,32,32,32,32,111,102,32,105,109,112,111, - 114,116,108,105,98,32,102,114,97,109,101,115,32,116,104,97, - 116,32,101,110,100,32,119,105,116,104,32,97,32,99,97,108, - 108,32,116,111,32,116,104,105,115,32,102,117,110,99,116,105, - 111,110,10,10,32,32,32,32,85,115,101,32,105,116,32,105, - 110,115,116,101,97,100,32,111,102,32,97,32,110,111,114,109, - 97,108,32,99,97,108,108,32,105,110,32,112,108,97,99,101, - 115,32,119,104,101,114,101,32,105,110,99,108,117,100,105,110, - 103,32,116,104,101,32,105,109,112,111,114,116,108,105,98,10, - 32,32,32,32,102,114,97,109,101,115,32,105,110,116,114,111, - 100,117,99,101,115,32,117,110,119,97,110,116,101,100,32,110, - 111,105,115,101,32,105,110,116,111,32,116,104,101,32,116,114, - 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, - 32,32,114,10,0,0,0,41,3,218,1,102,114,49,0,0, - 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, - 100,197,0,0,0,115,2,0,0,0,0,8,114,58,0,0, - 0,114,33,0,0,0,41,1,218,9,118,101,114,98,111,115, - 105,116,121,99,1,0,0,0,1,0,0,0,3,0,0,0, - 5,0,0,0,71,0,0,0,115,56,0,0,0,116,0,106, - 1,106,2,124,1,107,5,114,52,124,0,106,3,100,6,131, - 1,115,30,100,3,124,0,23,0,125,0,116,4,124,0,106, - 5,124,2,152,1,142,0,116,0,106,6,100,4,141,2,1, - 0,100,5,83,0,41,7,122,61,80,114,105,110,116,32,116, - 104,101,32,109,101,115,115,97,103,101,32,116,111,32,115,116, - 100,101,114,114,32,105,102,32,45,118,47,80,89,84,72,79, - 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, - 116,32,122,2,35,32,41,1,90,4,102,105,108,101,78,41, - 2,114,60,0,0,0,114,61,0,0,0,41,7,114,14,0, - 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, - 112,114,105,110,116,114,38,0,0,0,218,6,115,116,100,101, - 114,114,41,3,218,7,109,101,115,115,97,103,101,114,59,0, - 0,0,114,49,0,0,0,114,10,0,0,0,114,10,0,0, - 0,114,11,0,0,0,218,16,95,118,101,114,98,111,115,101, - 95,109,101,115,115,97,103,101,208,0,0,0,115,8,0,0, - 0,0,2,12,1,10,1,8,1,114,68,0,0,0,99,1, - 0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,3, - 0,0,0,115,26,0,0,0,135,0,102,1,100,1,100,2, - 132,8,125,1,116,0,124,1,136,0,131,2,1,0,124,1, - 83,0,41,3,122,49,68,101,99,111,114,97,116,111,114,32, - 116,111,32,118,101,114,105,102,121,32,116,104,101,32,110,97, - 109,101,100,32,109,111,100,117,108,101,32,105,115,32,98,117, - 105,108,116,45,105,110,46,99,2,0,0,0,0,0,0,0, - 2,0,0,0,4,0,0,0,19,0,0,0,115,38,0,0, - 0,124,1,116,0,106,1,107,7,114,28,116,2,100,1,106, - 3,124,1,131,1,124,1,100,2,141,2,130,1,136,0,124, - 0,124,1,131,2,83,0,41,3,78,122,29,123,33,114,125, - 32,105,115,32,110,111,116,32,97,32,98,117,105,108,116,45, - 105,110,32,109,111,100,117,108,101,41,1,114,15,0,0,0, - 41,4,114,14,0,0,0,218,20,98,117,105,108,116,105,110, - 95,109,111,100,117,108,101,95,110,97,109,101,115,218,11,73, - 109,112,111,114,116,69,114,114,111,114,114,38,0,0,0,41, - 2,114,26,0,0,0,218,8,102,117,108,108,110,97,109,101, - 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, - 108,116,105,110,95,119,114,97,112,112,101,114,218,0,0,0, - 115,8,0,0,0,0,1,10,1,10,1,8,1,122,52,95, - 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, - 112,101,114,41,1,114,12,0,0,0,41,2,114,72,0,0, - 0,114,73,0,0,0,114,10,0,0,0,41,1,114,72,0, - 0,0,114,11,0,0,0,218,17,95,114,101,113,117,105,114, - 101,115,95,98,117,105,108,116,105,110,216,0,0,0,115,6, - 0,0,0,0,2,12,5,10,1,114,74,0,0,0,99,1, - 0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,3, - 0,0,0,115,26,0,0,0,135,0,102,1,100,1,100,2, - 132,8,125,1,116,0,124,1,136,0,131,2,1,0,124,1, - 83,0,41,3,122,47,68,101,99,111,114,97,116,111,114,32, - 116,111,32,118,101,114,105,102,121,32,116,104,101,32,110,97, - 109,101,100,32,109,111,100,117,108,101,32,105,115,32,102,114, - 111,122,101,110,46,99,2,0,0,0,0,0,0,0,2,0, - 0,0,4,0,0,0,19,0,0,0,115,38,0,0,0,116, - 0,106,1,124,1,131,1,115,28,116,2,100,1,106,3,124, - 1,131,1,124,1,100,2,141,2,130,1,136,0,124,0,124, - 1,131,2,83,0,41,3,78,122,27,123,33,114,125,32,105, - 115,32,110,111,116,32,97,32,102,114,111,122,101,110,32,109, - 111,100,117,108,101,41,1,114,15,0,0,0,41,4,114,46, - 0,0,0,218,9,105,115,95,102,114,111,122,101,110,114,70, - 0,0,0,114,38,0,0,0,41,2,114,26,0,0,0,114, - 71,0,0,0,41,1,114,72,0,0,0,114,10,0,0,0, - 114,11,0,0,0,218,24,95,114,101,113,117,105,114,101,115, - 95,102,114,111,122,101,110,95,119,114,97,112,112,101,114,229, - 0,0,0,115,8,0,0,0,0,1,10,1,10,1,8,1, - 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, - 112,112,101,114,41,1,114,12,0,0,0,41,2,114,72,0, - 0,0,114,76,0,0,0,114,10,0,0,0,41,1,114,72, - 0,0,0,114,11,0,0,0,218,16,95,114,101,113,117,105, - 114,101,115,95,102,114,111,122,101,110,227,0,0,0,115,6, - 0,0,0,0,2,12,5,10,1,114,77,0,0,0,99,2, - 0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,67, - 0,0,0,115,64,0,0,0,116,0,124,1,124,0,131,2, - 125,2,124,1,116,1,106,2,107,6,114,52,116,1,106,2, - 124,1,25,0,125,3,116,3,124,2,124,3,131,2,1,0, - 116,1,106,2,124,1,25,0,83,0,110,8,116,4,124,2, - 131,1,83,0,100,1,83,0,41,2,122,128,76,111,97,100, - 32,116,104,101,32,115,112,101,99,105,102,105,101,100,32,109, - 111,100,117,108,101,32,105,110,116,111,32,115,121,115,46,109, - 111,100,117,108,101,115,32,97,110,100,32,114,101,116,117,114, - 110,32,105,116,46,10,10,32,32,32,32,84,104,105,115,32, - 109,101,116,104,111,100,32,105,115,32,100,101,112,114,101,99, - 97,116,101,100,46,32,32,85,115,101,32,108,111,97,100,101, - 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, - 114,114,14,0,0,0,218,7,109,111,100,117,108,101,115,218, - 5,95,101,120,101,99,218,5,95,108,111,97,100,41,4,114, - 26,0,0,0,114,71,0,0,0,218,4,115,112,101,99,218, - 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, - 100,117,108,101,95,115,104,105,109,239,0,0,0,115,12,0, - 0,0,0,6,10,1,10,1,10,1,10,1,12,2,114,84, - 0,0,0,99,1,0,0,0,0,0,0,0,5,0,0,0, - 35,0,0,0,67,0,0,0,115,218,0,0,0,116,0,124, - 0,100,1,100,0,131,3,125,1,116,1,124,1,100,2,131, - 2,114,54,121,10,124,1,106,2,124,0,131,1,83,0,4, - 0,116,3,107,10,114,52,1,0,1,0,1,0,89,0,110, - 2,88,0,121,10,124,0,106,4,125,2,87,0,110,20,4, - 0,116,5,107,10,114,84,1,0,1,0,1,0,89,0,110, - 18,88,0,124,2,100,0,107,9,114,102,116,6,124,2,131, - 1,83,0,121,10,124,0,106,7,125,3,87,0,110,24,4, - 0,116,5,107,10,114,136,1,0,1,0,1,0,100,3,125, - 3,89,0,110,2,88,0,121,10,124,0,106,8,125,4,87, - 0,110,52,4,0,116,5,107,10,114,200,1,0,1,0,1, - 0,124,1,100,0,107,8,114,184,100,4,106,9,124,3,131, - 1,83,0,110,12,100,5,106,9,124,3,124,1,131,2,83, - 0,89,0,110,14,88,0,100,6,106,9,124,3,124,4,131, - 2,83,0,100,0,83,0,41,7,78,218,10,95,95,108,111, - 97,100,101,114,95,95,218,11,109,111,100,117,108,101,95,114, - 101,112,114,250,1,63,122,13,60,109,111,100,117,108,101,32, - 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, - 33,114,125,62,41,10,114,6,0,0,0,114,4,0,0,0, - 114,86,0,0,0,218,9,69,120,99,101,112,116,105,111,110, - 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, - 95,114,38,0,0,0,41,5,114,83,0,0,0,218,6,108, - 111,97,100,101,114,114,82,0,0,0,114,15,0,0,0,218, - 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, - 101,95,114,101,112,114,255,0,0,0,115,46,0,0,0,0, - 2,12,1,10,4,2,1,10,1,14,1,6,1,2,1,10, - 1,14,1,6,2,8,1,8,4,2,1,10,1,14,1,10, - 1,2,1,10,1,14,1,8,1,12,2,18,2,114,95,0, - 0,0,99,0,0,0,0,0,0,0,0,0,0,0,0,2, - 0,0,0,64,0,0,0,115,36,0,0,0,101,0,90,1, - 100,0,90,2,100,1,100,2,132,0,90,3,100,3,100,4, - 132,0,90,4,100,5,100,6,132,0,90,5,100,7,83,0, - 41,8,218,17,95,105,110,115,116,97,108,108,101,100,95,115, - 97,102,101,108,121,99,2,0,0,0,0,0,0,0,2,0, - 0,0,2,0,0,0,67,0,0,0,115,18,0,0,0,124, - 1,124,0,95,0,124,1,106,1,124,0,95,2,100,0,83, - 0,41,1,78,41,3,218,7,95,109,111,100,117,108,101,114, - 89,0,0,0,218,5,95,115,112,101,99,41,2,114,26,0, - 0,0,114,83,0,0,0,114,10,0,0,0,114,10,0,0, - 0,114,11,0,0,0,114,27,0,0,0,37,1,0,0,115, - 4,0,0,0,0,1,6,1,122,26,95,105,110,115,116,97, - 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, - 0,3,0,0,0,67,0,0,0,115,28,0,0,0,100,1, - 124,0,106,0,95,1,124,0,106,2,116,3,106,4,124,0, - 106,0,106,5,60,0,100,0,83,0,41,2,78,84,41,6, - 114,98,0,0,0,218,13,95,105,110,105,116,105,97,108,105, - 122,105,110,103,114,97,0,0,0,114,14,0,0,0,114,79, - 0,0,0,114,15,0,0,0,41,1,114,26,0,0,0,114, - 10,0,0,0,114,10,0,0,0,114,11,0,0,0,114,48, - 0,0,0,41,1,0,0,115,4,0,0,0,0,4,8,1, - 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, - 0,0,115,98,0,0,0,122,82,124,0,106,0,125,2,116, - 1,100,1,100,2,132,0,124,1,68,0,131,1,131,1,114, - 64,121,14,116,2,106,3,124,2,106,4,61,0,87,0,113, - 80,4,0,116,5,107,10,114,60,1,0,1,0,1,0,89, - 0,113,80,88,0,110,16,116,6,100,3,124,2,106,4,124, - 2,106,7,131,3,1,0,87,0,100,0,100,4,124,0,106, - 0,95,8,88,0,100,0,83,0,41,5,78,99,1,0,0, - 0,0,0,0,0,2,0,0,0,3,0,0,0,115,0,0, - 0,115,22,0,0,0,124,0,93,14,125,1,124,1,100,0, - 107,9,86,0,1,0,113,2,100,0,83,0,41,1,78,114, - 10,0,0,0,41,2,90,2,46,48,90,3,97,114,103,114, - 10,0,0,0,114,10,0,0,0,114,11,0,0,0,250,9, - 60,103,101,110,101,120,112,114,62,51,1,0,0,115,2,0, - 0,0,4,0,122,45,95,105,110,115,116,97,108,108,101,100, - 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, - 32,35,32,123,33,114,125,70,41,9,114,98,0,0,0,218, - 3,97,110,121,114,14,0,0,0,114,79,0,0,0,114,15, - 0,0,0,114,54,0,0,0,114,68,0,0,0,114,93,0, - 0,0,114,99,0,0,0,41,3,114,26,0,0,0,114,49, - 0,0,0,114,82,0,0,0,114,10,0,0,0,114,10,0, - 0,0,114,11,0,0,0,114,50,0,0,0,48,1,0,0, - 115,18,0,0,0,0,1,2,1,6,1,18,1,2,1,14, - 1,14,1,8,2,20,2,122,26,95,105,110,115,116,97,108, - 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, - 114,2,0,0,0,114,27,0,0,0,114,48,0,0,0,114, - 50,0,0,0,114,10,0,0,0,114,10,0,0,0,114,10, - 0,0,0,114,11,0,0,0,114,96,0,0,0,35,1,0, - 0,115,6,0,0,0,8,2,8,4,8,7,114,96,0,0, - 0,99,0,0,0,0,0,0,0,0,0,0,0,0,4,0, - 0,0,64,0,0,0,115,114,0,0,0,101,0,90,1,100, - 0,90,2,100,1,90,3,100,2,100,2,100,2,100,3,156, - 3,100,4,100,5,132,2,90,4,100,6,100,7,132,0,90, - 5,100,8,100,9,132,0,90,6,101,7,100,10,100,11,132, - 0,131,1,90,8,101,8,106,9,100,12,100,11,132,0,131, - 1,90,8,101,7,100,13,100,14,132,0,131,1,90,10,101, - 7,100,15,100,16,132,0,131,1,90,11,101,11,106,9,100, - 17,100,16,132,0,131,1,90,11,100,2,83,0,41,18,218, - 10,77,111,100,117,108,101,83,112,101,99,97,208,5,0,0, - 84,104,101,32,115,112,101,99,105,102,105,99,97,116,105,111, - 110,32,102,111,114,32,97,32,109,111,100,117,108,101,44,32, - 117,115,101,100,32,102,111,114,32,108,111,97,100,105,110,103, - 46,10,10,32,32,32,32,65,32,109,111,100,117,108,101,39, - 115,32,115,112,101,99,32,105,115,32,116,104,101,32,115,111, - 117,114,99,101,32,102,111,114,32,105,110,102,111,114,109,97, - 116,105,111,110,32,97,98,111,117,116,32,116,104,101,32,109, - 111,100,117,108,101,46,32,32,70,111,114,10,32,32,32,32, - 100,97,116,97,32,97,115,115,111,99,105,97,116,101,100,32, - 119,105,116,104,32,116,104,101,32,109,111,100,117,108,101,44, - 32,105,110,99,108,117,100,105,110,103,32,115,111,117,114,99, - 101,44,32,117,115,101,32,116,104,101,32,115,112,101,99,39, - 115,10,32,32,32,32,108,111,97,100,101,114,46,10,10,32, - 32,32,32,96,110,97,109,101,96,32,105,115,32,116,104,101, - 32,97,98,115,111,108,117,116,101,32,110,97,109,101,32,111, - 102,32,116,104,101,32,109,111,100,117,108,101,46,32,32,96, - 108,111,97,100,101,114,96,32,105,115,32,116,104,101,32,108, - 111,97,100,101,114,10,32,32,32,32,116,111,32,117,115,101, - 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88,1,0,1,0,1,0,89,0,110,2,88,0,121,10,124, - 0,106,4,125,5,87,0,110,24,4,0,116,1,107,10,114, - 124,1,0,1,0,1,0,100,0,125,5,89,0,110,2,88, - 0,124,2,100,0,107,8,114,184,124,5,100,0,107,8,114, - 180,121,10,124,1,106,5,125,2,87,0,113,184,4,0,116, - 1,107,10,114,176,1,0,1,0,1,0,100,0,125,2,89, - 0,113,184,88,0,110,4,124,5,125,2,121,10,124,0,106, - 6,125,6,87,0,110,24,4,0,116,1,107,10,114,218,1, - 0,1,0,1,0,100,0,125,6,89,0,110,2,88,0,121, - 14,116,7,124,0,106,8,131,1,125,7,87,0,110,26,4, - 0,116,1,107,10,144,1,114,4,1,0,1,0,1,0,100, - 0,125,7,89,0,110,2,88,0,116,9,124,4,124,1,124, - 2,100,1,141,3,125,3,124,5,100,0,107,8,144,1,114, - 34,100,2,110,2,100,3,124,3,95,10,124,6,124,3,95, - 11,124,7,124,3,95,12,124,3,83,0,41,4,78,41,1, - 114,103,0,0,0,70,84,41,13,114,89,0,0,0,114,90, - 0,0,0,114,1,0,0,0,114,85,0,0,0,114,92,0, - 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, - 95,112,97,116,104,95,95,114,102,0,0,0,114,107,0,0, - 0,114,112,0,0,0,114,106,0,0,0,41,8,114,83,0, - 0,0,114,93,0,0,0,114,103,0,0,0,114,82,0,0, - 0,114,15,0,0,0,90,8,108,111,99,97,116,105,111,110, - 114,112,0,0,0,114,106,0,0,0,114,10,0,0,0,114, - 10,0,0,0,114,11,0,0,0,218,17,95,115,112,101,99, - 95,102,114,111,109,95,109,111,100,117,108,101,192,1,0,0, - 115,72,0,0,0,0,2,2,1,10,1,14,1,6,2,8, - 1,4,2,6,1,8,1,2,1,10,1,14,2,6,1,2, - 1,10,1,14,1,10,1,8,1,8,1,2,1,10,1,14, - 1,12,2,4,1,2,1,10,1,14,1,10,1,2,1,14, - 1,16,1,10,2,14,1,20,1,6,1,6,1,114,128,0, - 0,0,70,41,1,218,8,111,118,101,114,114,105,100,101,99, - 2,0,0,0,1,0,0,0,5,0,0,0,59,0,0,0, - 67,0,0,0,115,212,1,0,0,124,2,115,20,116,0,124, - 1,100,1,100,0,131,3,100,0,107,8,114,54,121,12,124, - 0,106,1,124,1,95,2,87,0,110,20,4,0,116,3,107, - 10,114,52,1,0,1,0,1,0,89,0,110,2,88,0,124, - 2,115,74,116,0,124,1,100,2,100,0,131,3,100,0,107, - 8,114,166,124,0,106,4,125,3,124,3,100,0,107,8,114, - 134,124,0,106,5,100,0,107,9,114,134,116,6,100,0,107, - 8,114,110,116,7,130,1,116,6,106,8,125,4,124,4,106, - 9,124,4,131,1,125,3,124,0,106,5,124,3,95,10,121, - 10,124,3,124,1,95,11,87,0,110,20,4,0,116,3,107, - 10,114,164,1,0,1,0,1,0,89,0,110,2,88,0,124, - 2,115,186,116,0,124,1,100,3,100,0,131,3,100,0,107, - 8,114,220,121,12,124,0,106,12,124,1,95,13,87,0,110, - 20,4,0,116,3,107,10,114,218,1,0,1,0,1,0,89, - 0,110,2,88,0,121,10,124,0,124,1,95,14,87,0,110, - 20,4,0,116,3,107,10,114,250,1,0,1,0,1,0,89, - 0,110,2,88,0,124,2,144,1,115,20,116,0,124,1,100, - 4,100,0,131,3,100,0,107,8,144,1,114,68,124,0,106, - 5,100,0,107,9,144,1,114,68,121,12,124,0,106,5,124, - 1,95,15,87,0,110,22,4,0,116,3,107,10,144,1,114, - 66,1,0,1,0,1,0,89,0,110,2,88,0,124,0,106, - 16,144,1,114,208,124,2,144,1,115,100,116,0,124,1,100, - 5,100,0,131,3,100,0,107,8,144,1,114,136,121,12,124, - 0,106,17,124,1,95,18,87,0,110,22,4,0,116,3,107, - 10,144,1,114,134,1,0,1,0,1,0,89,0,110,2,88, - 0,124,2,144,1,115,160,116,0,124,1,100,6,100,0,131, - 3,100,0,107,8,144,1,114,208,124,0,106,19,100,0,107, - 9,144,1,114,208,121,12,124,0,106,19,124,1,95,20,87, - 0,110,22,4,0,116,3,107,10,144,1,114,206,1,0,1, - 0,1,0,89,0,110,2,88,0,124,1,83,0,41,7,78, - 114,1,0,0,0,114,85,0,0,0,218,11,95,95,112,97, - 99,107,97,103,101,95,95,114,127,0,0,0,114,92,0,0, - 0,114,125,0,0,0,41,21,114,6,0,0,0,114,15,0, - 0,0,114,1,0,0,0,114,90,0,0,0,114,93,0,0, - 0,114,106,0,0,0,114,115,0,0,0,114,116,0,0,0, - 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, - 116,104,114,85,0,0,0,114,119,0,0,0,114,130,0,0, - 0,114,89,0,0,0,114,127,0,0,0,114,113,0,0,0, - 114,103,0,0,0,114,92,0,0,0,114,112,0,0,0,114, - 125,0,0,0,41,5,114,82,0,0,0,114,83,0,0,0, - 114,129,0,0,0,114,93,0,0,0,114,131,0,0,0,114, - 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, - 114,115,237,1,0,0,115,92,0,0,0,0,4,20,1,2, - 1,12,1,14,1,6,2,20,1,6,1,8,2,10,1,8, - 1,4,1,6,2,10,1,8,1,2,1,10,1,14,1,6, - 2,20,1,2,1,12,1,14,1,6,2,2,1,10,1,14, - 1,6,2,24,1,12,1,2,1,12,1,16,1,6,2,8, - 1,24,1,2,1,12,1,16,1,6,2,24,1,12,1,2, - 1,12,1,16,1,6,1,114,133,0,0,0,99,1,0,0, - 0,0,0,0,0,2,0,0,0,3,0,0,0,67,0,0, - 0,115,82,0,0,0,100,1,125,1,116,0,124,0,106,1, - 100,2,131,2,114,30,124,0,106,1,106,2,124,0,131,1, - 125,1,110,20,116,0,124,0,106,1,100,3,131,2,114,50, - 116,3,100,4,131,1,130,1,124,1,100,1,107,8,114,68, - 116,4,124,0,106,5,131,1,125,1,116,6,124,0,124,1, - 131,2,1,0,124,1,83,0,41,5,122,43,67,114,101,97, - 116,101,32,97,32,109,111,100,117,108,101,32,98,97,115,101, - 100,32,111,110,32,116,104,101,32,112,114,111,118,105,100,101, - 100,32,115,112,101,99,46,78,218,13,99,114,101,97,116,101, - 95,109,111,100,117,108,101,218,11,101,120,101,99,95,109,111, - 100,117,108,101,122,66,108,111,97,100,101,114,115,32,116,104, - 97,116,32,100,101,102,105,110,101,32,101,120,101,99,95,109, - 111,100,117,108,101,40,41,32,109,117,115,116,32,97,108,115, - 111,32,100,101,102,105,110,101,32,99,114,101,97,116,101,95, - 109,111,100,117,108,101,40,41,41,7,114,4,0,0,0,114, - 93,0,0,0,114,134,0,0,0,114,70,0,0,0,114,16, - 0,0,0,114,15,0,0,0,114,133,0,0,0,41,2,114, - 82,0,0,0,114,83,0,0,0,114,10,0,0,0,114,10, - 0,0,0,114,11,0,0,0,218,16,109,111,100,117,108,101, - 95,102,114,111,109,95,115,112,101,99,41,2,0,0,115,18, - 0,0,0,0,3,4,1,12,3,14,1,12,1,8,2,8, - 1,10,1,10,1,114,136,0,0,0,99,1,0,0,0,0, - 0,0,0,2,0,0,0,3,0,0,0,67,0,0,0,115, - 110,0,0,0,124,0,106,0,100,1,107,8,114,14,100,2, - 110,4,124,0,106,0,125,1,124,0,106,1,100,1,107,8, - 114,68,124,0,106,2,100,1,107,8,114,52,100,3,106,3, - 124,1,131,1,83,0,113,106,100,4,106,3,124,1,124,0, - 106,2,131,2,83,0,110,38,124,0,106,4,114,90,100,5, - 106,3,124,1,124,0,106,1,131,2,83,0,110,16,100,6, - 106,3,124,0,106,0,124,0,106,1,131,2,83,0,100,1, - 83,0,41,7,122,38,82,101,116,117,114,110,32,116,104,101, - 32,114,101,112,114,32,116,111,32,117,115,101,32,102,111,114, - 32,116,104,101,32,109,111,100,117,108,101,46,78,114,87,0, - 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, - 123,125,41,62,41,5,114,15,0,0,0,114,103,0,0,0, - 114,93,0,0,0,114,38,0,0,0,114,113,0,0,0,41, - 2,114,82,0,0,0,114,15,0,0,0,114,10,0,0,0, - 114,10,0,0,0,114,11,0,0,0,114,91,0,0,0,58, - 2,0,0,115,16,0,0,0,0,3,20,1,10,1,10,1, - 12,2,16,2,6,1,16,2,114,91,0,0,0,99,2,0, - 0,0,0,0,0,0,4,0,0,0,12,0,0,0,67,0, - 0,0,115,186,0,0,0,124,0,106,0,125,2,116,1,106, - 2,131,0,1,0,116,3,124,2,131,1,143,148,1,0,116, - 4,106,5,106,6,124,2,131,1,124,1,107,9,114,62,100, - 1,106,7,124,2,131,1,125,3,116,8,124,3,124,2,100, - 2,141,2,130,1,124,0,106,9,100,3,107,8,114,114,124, - 0,106,10,100,3,107,8,114,96,116,8,100,4,124,0,106, - 0,100,2,141,2,130,1,116,11,124,0,124,1,100,5,100, - 6,141,3,1,0,124,1,83,0,116,11,124,0,124,1,100, - 5,100,6,141,3,1,0,116,12,124,0,106,9,100,7,131, - 2,115,154,124,0,106,9,106,13,124,2,131,1,1,0,110, - 12,124,0,106,9,106,14,124,1,131,1,1,0,87,0,100, - 3,81,0,82,0,88,0,116,4,106,5,124,2,25,0,83, - 0,41,8,122,70,69,120,101,99,117,116,101,32,116,104,101, - 32,115,112,101,99,39,115,32,115,112,101,99,105,102,105,101, - 100,32,109,111,100,117,108,101,32,105,110,32,97,110,32,101, - 120,105,115,116,105,110,103,32,109,111,100,117,108,101,39,115, - 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, - 115,121,115,46,109,111,100,117,108,101,115,41,1,114,15,0, - 0,0,78,122,14,109,105,115,115,105,110,103,32,108,111,97, - 100,101,114,84,41,1,114,129,0,0,0,114,135,0,0,0, - 41,15,114,15,0,0,0,114,46,0,0,0,218,12,97,99, - 113,117,105,114,101,95,108,111,99,107,114,42,0,0,0,114, - 14,0,0,0,114,79,0,0,0,114,30,0,0,0,114,38, - 0,0,0,114,70,0,0,0,114,93,0,0,0,114,106,0, - 0,0,114,133,0,0,0,114,4,0,0,0,218,11,108,111, - 97,100,95,109,111,100,117,108,101,114,135,0,0,0,41,4, - 114,82,0,0,0,114,83,0,0,0,114,15,0,0,0,218, - 3,109,115,103,114,10,0,0,0,114,10,0,0,0,114,11, - 0,0,0,114,80,0,0,0,75,2,0,0,115,32,0,0, - 0,0,2,6,1,8,1,10,1,16,1,10,1,12,1,10, - 1,10,1,14,2,14,1,4,1,14,1,12,4,14,2,22, - 1,114,80,0,0,0,99,1,0,0,0,0,0,0,0,2, - 0,0,0,27,0,0,0,67,0,0,0,115,206,0,0,0, - 124,0,106,0,106,1,124,0,106,2,131,1,1,0,116,3, - 106,4,124,0,106,2,25,0,125,1,116,5,124,1,100,1, - 100,0,131,3,100,0,107,8,114,76,121,12,124,0,106,0, - 124,1,95,6,87,0,110,20,4,0,116,7,107,10,114,74, - 1,0,1,0,1,0,89,0,110,2,88,0,116,5,124,1, - 100,2,100,0,131,3,100,0,107,8,114,154,121,40,124,1, - 106,8,124,1,95,9,116,10,124,1,100,3,131,2,115,130, - 124,0,106,2,106,11,100,4,131,1,100,5,25,0,124,1, - 95,9,87,0,110,20,4,0,116,7,107,10,114,152,1,0, - 1,0,1,0,89,0,110,2,88,0,116,5,124,1,100,6, - 100,0,131,3,100,0,107,8,114,202,121,10,124,0,124,1, - 95,12,87,0,110,20,4,0,116,7,107,10,114,200,1,0, - 1,0,1,0,89,0,110,2,88,0,124,1,83,0,41,7, - 78,114,85,0,0,0,114,130,0,0,0,114,127,0,0,0, - 114,117,0,0,0,114,19,0,0,0,114,89,0,0,0,41, - 13,114,93,0,0,0,114,138,0,0,0,114,15,0,0,0, - 114,14,0,0,0,114,79,0,0,0,114,6,0,0,0,114, - 85,0,0,0,114,90,0,0,0,114,1,0,0,0,114,130, - 0,0,0,114,4,0,0,0,114,118,0,0,0,114,89,0, - 0,0,41,2,114,82,0,0,0,114,83,0,0,0,114,10, - 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, - 109,112,97,116,105,98,108,101,100,2,0,0,115,40,0,0, - 0,0,4,14,2,12,1,16,1,2,1,12,1,14,1,6, - 1,16,1,2,4,8,1,10,1,22,1,14,1,6,1,16, - 1,2,1,10,1,14,1,6,1,114,140,0,0,0,99,1, - 0,0,0,0,0,0,0,2,0,0,0,11,0,0,0,67, - 0,0,0,115,118,0,0,0,124,0,106,0,100,0,107,9, - 114,30,116,1,124,0,106,0,100,1,131,2,115,30,116,2, - 124,0,131,1,83,0,116,3,124,0,131,1,125,1,116,4, - 124,1,131,1,143,54,1,0,124,0,106,0,100,0,107,8, - 114,84,124,0,106,5,100,0,107,8,114,96,116,6,100,2, - 124,0,106,7,100,3,141,2,130,1,110,12,124,0,106,0, - 106,8,124,1,131,1,1,0,87,0,100,0,81,0,82,0, - 88,0,116,9,106,10,124,0,106,7,25,0,83,0,41,4, - 78,114,135,0,0,0,122,14,109,105,115,115,105,110,103,32, - 108,111,97,100,101,114,41,1,114,15,0,0,0,41,11,114, - 93,0,0,0,114,4,0,0,0,114,140,0,0,0,114,136, - 0,0,0,114,96,0,0,0,114,106,0,0,0,114,70,0, - 0,0,114,15,0,0,0,114,135,0,0,0,114,14,0,0, - 0,114,79,0,0,0,41,2,114,82,0,0,0,114,83,0, - 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, - 100,129,2,0,0,115,20,0,0,0,0,2,10,2,12,1, - 8,2,8,1,10,1,10,1,10,1,16,3,22,5,114,141, - 0,0,0,99,1,0,0,0,0,0,0,0,1,0,0,0, - 9,0,0,0,67,0,0,0,115,38,0,0,0,116,0,106, - 1,131,0,1,0,116,2,124,0,106,3,131,1,143,10,1, - 0,116,4,124,0,131,1,83,0,81,0,82,0,88,0,100, - 1,83,0,41,2,122,191,82,101,116,117,114,110,32,97,32, - 110,101,119,32,109,111,100,117,108,101,32,111,98,106,101,99, - 116,44,32,108,111,97,100,101,100,32,98,121,32,116,104,101, - 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110,218,10,86,97,108,117,101,69,114,114,111,114,114,38,0, - 0,0,41,5,114,15,0,0,0,218,7,112,97,99,107,97, - 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, - 97,109,101,75,3,0,0,115,10,0,0,0,0,2,16,1, - 12,1,8,1,8,1,114,163,0,0,0,99,3,0,0,0, - 0,0,0,0,4,0,0,0,3,0,0,0,67,0,0,0, - 115,34,0,0,0,124,0,106,0,124,1,124,2,131,2,125, - 3,124,3,100,0,107,8,114,24,100,0,83,0,116,1,124, - 1,124,3,131,2,83,0,41,1,78,41,2,114,147,0,0, - 0,114,78,0,0,0,41,4,218,6,102,105,110,100,101,114, - 114,15,0,0,0,114,144,0,0,0,114,93,0,0,0,114, - 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, - 121,84,3,0,0,115,8,0,0,0,0,3,12,1,8,1, - 4,1,114,165,0,0,0,99,3,0,0,0,0,0,0,0, - 10,0,0,0,27,0,0,0,67,0,0,0,115,244,0,0, - 0,116,0,106,1,125,3,124,3,100,1,107,8,114,22,116, - 2,100,2,131,1,130,1,124,3,115,38,116,3,106,4,100, - 3,116,5,131,2,1,0,124,0,116,0,106,6,107,6,125, - 4,120,190,124,3,68,0,93,178,125,5,116,7,131,0,143, - 72,1,0,121,10,124,5,106,8,125,6,87,0,110,42,4, - 0,116,9,107,10,114,118,1,0,1,0,1,0,116,10,124, - 5,124,0,124,1,131,3,125,7,124,7,100,1,107,8,114, - 114,119,54,89,0,110,14,88,0,124,6,124,0,124,1,124, - 2,131,3,125,7,87,0,100,1,81,0,82,0,88,0,124, - 7,100,1,107,9,114,54,124,4,12,0,114,228,124,0,116, - 0,106,6,107,6,114,228,116,0,106,6,124,0,25,0,125, - 8,121,10,124,8,106,11,125,9,87,0,110,20,4,0,116, - 9,107,10,114,206,1,0,1,0,1,0,124,7,83,0,88, - 0,124,9,100,1,107,8,114,222,124,7,83,0,113,232,124, - 9,83,0,113,54,124,7,83,0,113,54,87,0,100,1,83, - 0,100,1,83,0,41,4,122,21,70,105,110,100,32,97,32, - 109,111,100,117,108,101,39,115,32,115,112,101,99,46,78,122, - 53,115,121,115,46,109,101,116,97,95,112,97,116,104,32,105, - 115,32,78,111,110,101,44,32,80,121,116,104,111,110,32,105, - 115,32,108,105,107,101,108,121,32,115,104,117,116,116,105,110, - 103,32,100,111,119,110,122,22,115,121,115,46,109,101,116,97, - 95,112,97,116,104,32,105,115,32,101,109,112,116,121,41,12, - 114,14,0,0,0,218,9,109,101,116,97,95,112,97,116,104, - 114,70,0,0,0,218,9,95,119,97,114,110,105,110,103,115, - 218,4,119,97,114,110,218,13,73,109,112,111,114,116,87,97, - 114,110,105,110,103,114,79,0,0,0,114,157,0,0,0,114, - 146,0,0,0,114,90,0,0,0,114,165,0,0,0,114,89, - 0,0,0,41,10,114,15,0,0,0,114,144,0,0,0,114, - 145,0,0,0,114,166,0,0,0,90,9,105,115,95,114,101, - 108,111,97,100,114,164,0,0,0,114,146,0,0,0,114,82, - 0,0,0,114,83,0,0,0,114,89,0,0,0,114,10,0, - 0,0,114,10,0,0,0,114,11,0,0,0,218,10,95,102, - 105,110,100,95,115,112,101,99,93,3,0,0,115,54,0,0, - 0,0,2,6,1,8,2,8,3,4,1,12,5,10,1,10, - 1,8,1,2,1,10,1,14,1,12,1,8,1,8,2,22, - 1,8,2,16,1,10,1,2,1,10,1,14,4,6,2,8, - 1,6,2,6,2,8,2,114,170,0,0,0,99,3,0,0, - 0,0,0,0,0,4,0,0,0,4,0,0,0,67,0,0, - 0,115,140,0,0,0,116,0,124,0,116,1,131,2,115,28, - 116,2,100,1,106,3,116,4,124,0,131,1,131,1,131,1, - 130,1,124,2,100,2,107,0,114,44,116,5,100,3,131,1, - 130,1,124,2,100,2,107,4,114,114,116,0,124,1,116,1, - 131,2,115,72,116,2,100,4,131,1,130,1,110,42,124,1, - 115,86,116,6,100,5,131,1,130,1,110,28,124,1,116,7, - 106,8,107,7,114,114,100,6,125,3,116,9,124,3,106,3, - 124,1,131,1,131,1,130,1,124,0,12,0,114,136,124,2, - 100,2,107,2,114,136,116,5,100,7,131,1,130,1,100,8, - 83,0,41,9,122,28,86,101,114,105,102,121,32,97,114,103, - 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, - 32,123,125,114,19,0,0,0,122,18,108,101,118,101,108,32, - 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, - 116,32,116,111,32,97,32,115,116,114,105,110,103,122,54,97, - 116,116,101,109,112,116,101,100,32,114,101,108,97,116,105,118, - 101,32,105,109,112,111,114,116,32,119,105,116,104,32,110,111, - 32,107,110,111,119,110,32,112,97,114,101,110,116,32,112,97, - 99,107,97,103,101,122,61,80,97,114,101,110,116,32,109,111, - 100,117,108,101,32,123,33,114,125,32,110,111,116,32,108,111, - 97,100,101,100,44,32,99,97,110,110,111,116,32,112,101,114, - 102,111,114,109,32,114,101,108,97,116,105,118,101,32,105,109, - 112,111,114,116,122,17,69,109,112,116,121,32,109,111,100,117, - 108,101,32,110,97,109,101,78,41,10,218,10,105,115,105,110, - 115,116,97,110,99,101,218,3,115,116,114,218,9,84,121,112, - 101,69,114,114,111,114,114,38,0,0,0,114,13,0,0,0, - 114,160,0,0,0,114,70,0,0,0,114,14,0,0,0,114, - 79,0,0,0,218,11,83,121,115,116,101,109,69,114,114,111, - 114,41,4,114,15,0,0,0,114,161,0,0,0,114,162,0, - 0,0,114,139,0,0,0,114,10,0,0,0,114,10,0,0, - 0,114,11,0,0,0,218,13,95,115,97,110,105,116,121,95, - 99,104,101,99,107,140,3,0,0,115,28,0,0,0,0,2, - 10,1,18,1,8,1,8,1,8,1,10,1,10,1,4,1, - 10,2,10,1,4,2,14,1,14,1,114,175,0,0,0,122, - 16,78,111,32,109,111,100,117,108,101,32,110,97,109,101,100, - 32,122,4,123,33,114,125,99,2,0,0,0,0,0,0,0, - 8,0,0,0,12,0,0,0,67,0,0,0,115,220,0,0, - 0,100,0,125,2,124,0,106,0,100,1,131,1,100,2,25, - 0,125,3,124,3,114,134,124,3,116,1,106,2,107,7,114, - 42,116,3,124,1,124,3,131,2,1,0,124,0,116,1,106, - 2,107,6,114,62,116,1,106,2,124,0,25,0,83,0,116, - 1,106,2,124,3,25,0,125,4,121,10,124,4,106,4,125, - 2,87,0,110,50,4,0,116,5,107,10,114,132,1,0,1, - 0,1,0,116,6,100,3,23,0,106,7,124,0,124,3,131, - 2,125,5,116,8,124,5,124,0,100,4,141,2,100,0,130, - 2,89,0,110,2,88,0,116,9,124,0,124,2,131,2,125, - 6,124,6,100,0,107,8,114,172,116,8,116,6,106,7,124, - 0,131,1,124,0,100,4,141,2,130,1,110,8,116,10,124, - 6,131,1,125,7,124,3,114,216,116,1,106,2,124,3,25, - 0,125,4,116,11,124,4,124,0,106,0,100,1,131,1,100, - 5,25,0,124,7,131,3,1,0,124,7,83,0,41,6,78, - 114,117,0,0,0,114,19,0,0,0,122,23,59,32,123,33, - 114,125,32,105,115,32,110,111,116,32,97,32,112,97,99,107, - 97,103,101,41,1,114,15,0,0,0,233,2,0,0,0,41, - 12,114,118,0,0,0,114,14,0,0,0,114,79,0,0,0, - 114,58,0,0,0,114,127,0,0,0,114,90,0,0,0,218, - 8,95,69,82,82,95,77,83,71,114,38,0,0,0,218,19, - 77,111,100,117,108,101,78,111,116,70,111,117,110,100,69,114, - 114,111,114,114,170,0,0,0,114,141,0,0,0,114,5,0, - 0,0,41,8,114,15,0,0,0,218,7,105,109,112,111,114, - 116,95,114,144,0,0,0,114,119,0,0,0,90,13,112,97, - 114,101,110,116,95,109,111,100,117,108,101,114,139,0,0,0, - 114,82,0,0,0,114,83,0,0,0,114,10,0,0,0,114, - 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, - 101,100,163,3,0,0,115,42,0,0,0,0,1,4,1,14, - 1,4,1,10,1,10,2,10,1,10,1,10,1,2,1,10, - 1,14,1,16,1,20,1,10,1,8,1,20,2,8,1,4, - 2,10,1,22,1,114,180,0,0,0,99,2,0,0,0,0, - 0,0,0,2,0,0,0,10,0,0,0,67,0,0,0,115, - 30,0,0,0,116,0,124,0,131,1,143,12,1,0,116,1, - 124,0,124,1,131,2,83,0,81,0,82,0,88,0,100,1, - 83,0,41,2,122,54,70,105,110,100,32,97,110,100,32,108, - 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, - 42,0,0,0,114,180,0,0,0,41,2,114,15,0,0,0, - 114,179,0,0,0,114,10,0,0,0,114,10,0,0,0,114, - 11,0,0,0,218,14,95,102,105,110,100,95,97,110,100,95, - 108,111,97,100,190,3,0,0,115,4,0,0,0,0,2,10, - 1,114,181,0,0,0,114,19,0,0,0,99,3,0,0,0, - 0,0,0,0,5,0,0,0,4,0,0,0,67,0,0,0, - 115,120,0,0,0,116,0,124,0,124,1,124,2,131,3,1, - 0,124,2,100,1,107,4,114,32,116,1,124,0,124,1,124, - 2,131,3,125,0,116,2,106,3,131,0,1,0,124,0,116, - 4,106,5,107,7,114,60,116,6,124,0,116,7,131,2,83, - 0,116,4,106,5,124,0,25,0,125,3,124,3,100,2,107, - 8,114,108,116,2,106,8,131,0,1,0,100,3,106,9,124, - 0,131,1,125,4,116,10,124,4,124,0,100,4,141,2,130, - 1,116,11,124,0,131,1,1,0,124,3,83,0,41,5,97, - 50,1,0,0,73,109,112,111,114,116,32,97,110,100,32,114, - 101,116,117,114,110,32,116,104,101,32,109,111,100,117,108,101, - 32,98,97,115,101,100,32,111,110,32,105,116,115,32,110,97, - 109,101,44,32,116,104,101,32,112,97,99,107,97,103,101,32, - 116,104,101,32,99,97,108,108,32,105,115,10,32,32,32,32, - 98,101,105,110,103,32,109,97,100,101,32,102,114,111,109,44, - 32,97,110,100,32,116,104,101,32,108,101,118,101,108,32,97, - 100,106,117,115,116,109,101,110,116,46,10,10,32,32,32,32, - 84,104,105,115,32,102,117,110,99,116,105,111,110,32,114,101, - 112,114,101,115,101,110,116,115,32,116,104,101,32,103,114,101, - 97,116,101,115,116,32,99,111,109,109,111,110,32,100,101,110, - 111,109,105,110,97,116,111,114,32,111,102,32,102,117,110,99, - 116,105,111,110,97,108,105,116,121,10,32,32,32,32,98,101, - 116,119,101,101,110,32,105,109,112,111,114,116,95,109,111,100, - 117,108,101,32,97,110,100,32,95,95,105,109,112,111,114,116, - 95,95,46,32,84,104,105,115,32,105,110,99,108,117,100,101, - 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, - 10,10,32,32,32,32,114,19,0,0,0,78,122,40,105,109, - 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, - 111,100,117,108,101,115,41,1,114,15,0,0,0,41,12,114, - 175,0,0,0,114,163,0,0,0,114,46,0,0,0,114,137, - 0,0,0,114,14,0,0,0,114,79,0,0,0,114,181,0, - 0,0,218,11,95,103,99,100,95,105,109,112,111,114,116,114, - 47,0,0,0,114,38,0,0,0,114,178,0,0,0,114,56, - 0,0,0,41,5,114,15,0,0,0,114,161,0,0,0,114, - 162,0,0,0,114,83,0,0,0,114,67,0,0,0,114,10, - 0,0,0,114,10,0,0,0,114,11,0,0,0,114,182,0, - 0,0,196,3,0,0,115,28,0,0,0,0,9,12,1,8, - 1,12,1,8,1,10,1,10,1,10,1,8,1,8,1,4, - 1,6,1,12,1,8,1,114,182,0,0,0,99,3,0,0, - 0,0,0,0,0,6,0,0,0,17,0,0,0,67,0,0, - 0,115,164,0,0,0,116,0,124,0,100,1,131,2,114,160, - 100,2,124,1,107,6,114,58,116,1,124,1,131,1,125,1, - 124,1,106,2,100,2,131,1,1,0,116,0,124,0,100,3, - 131,2,114,58,124,1,106,3,124,0,106,4,131,1,1,0, - 120,100,124,1,68,0,93,92,125,3,116,0,124,0,124,3, - 131,2,115,64,100,4,106,5,124,0,106,6,124,3,131,2, - 125,4,121,14,116,7,124,2,124,4,131,2,1,0,87,0, - 113,64,4,0,116,8,107,10,114,154,1,0,125,5,1,0, - 122,20,124,5,106,9,124,4,107,2,114,136,119,64,130,0, - 87,0,89,0,100,5,100,5,125,5,126,5,88,0,113,64, - 88,0,113,64,87,0,124,0,83,0,41,6,122,238,70,105, - 103,117,114,101,32,111,117,116,32,119,104,97,116,32,95,95, - 105,109,112,111,114,116,95,95,32,115,104,111,117,108,100,32, - 114,101,116,117,114,110,46,10,10,32,32,32,32,84,104,101, - 32,105,109,112,111,114,116,95,32,112,97,114,97,109,101,116, - 101,114,32,105,115,32,97,32,99,97,108,108,97,98,108,101, - 32,119,104,105,99,104,32,116,97,107,101,115,32,116,104,101, - 32,110,97,109,101,32,111,102,32,109,111,100,117,108,101,32, - 116,111,10,32,32,32,32,105,109,112,111,114,116,46,32,73, - 116,32,105,115,32,114,101,113,117,105,114,101,100,32,116,111, - 32,100,101,99,111,117,112,108,101,32,116,104,101,32,102,117, - 110,99,116,105,111,110,32,102,114,111,109,32,97,115,115,117, - 109,105,110,103,32,105,109,112,111,114,116,108,105,98,39,115, - 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, - 115,105,114,101,100,46,10,10,32,32,32,32,114,127,0,0, - 0,250,1,42,218,7,95,95,97,108,108,95,95,122,5,123, - 125,46,123,125,78,41,10,114,4,0,0,0,114,126,0,0, - 0,218,6,114,101,109,111,118,101,218,6,101,120,116,101,110, - 100,114,184,0,0,0,114,38,0,0,0,114,1,0,0,0, - 114,58,0,0,0,114,178,0,0,0,114,15,0,0,0,41, - 6,114,83,0,0,0,218,8,102,114,111,109,108,105,115,116, - 114,179,0,0,0,218,1,120,90,9,102,114,111,109,95,110, - 97,109,101,90,3,101,120,99,114,10,0,0,0,114,10,0, - 0,0,114,11,0,0,0,218,16,95,104,97,110,100,108,101, - 95,102,114,111,109,108,105,115,116,221,3,0,0,115,32,0, - 0,0,0,10,10,1,8,1,8,1,10,1,10,1,12,1, - 10,1,10,1,14,1,2,1,14,1,16,4,10,1,2,1, - 24,1,114,189,0,0,0,99,1,0,0,0,0,0,0,0, - 3,0,0,0,6,0,0,0,67,0,0,0,115,150,0,0, - 0,124,0,106,0,100,1,131,1,125,1,124,0,106,0,100, - 2,131,1,125,2,124,1,100,3,107,9,114,84,124,2,100, - 3,107,9,114,78,124,1,124,2,106,1,107,3,114,78,116, - 2,106,3,100,4,124,1,155,2,100,5,124,2,106,1,155, - 2,100,6,157,5,116,4,100,7,100,8,141,3,1,0,124, - 1,83,0,110,62,124,2,100,3,107,9,114,100,124,2,106, - 1,83,0,110,46,116,2,106,3,100,9,116,4,100,7,100, - 8,141,3,1,0,124,0,100,10,25,0,125,1,100,11,124, - 0,107,7,114,146,124,1,106,5,100,12,131,1,100,13,25, - 0,125,1,124,1,83,0,41,14,122,167,67,97,108,99,117, - 108,97,116,101,32,119,104,97,116,32,95,95,112,97,99,107, - 97,103,101,95,95,32,115,104,111,117,108,100,32,98,101,46, - 10,10,32,32,32,32,95,95,112,97,99,107,97,103,101,95, - 95,32,105,115,32,110,111,116,32,103,117,97,114,97,110,116, - 101,101,100,32,116,111,32,98,101,32,100,101,102,105,110,101, - 100,32,111,114,32,99,111,117,108,100,32,98,101,32,115,101, - 116,32,116,111,32,78,111,110,101,10,32,32,32,32,116,111, - 32,114,101,112,114,101,115,101,110,116,32,116,104,97,116,32, - 105,116,115,32,112,114,111,112,101,114,32,118,97,108,117,101, - 32,105,115,32,117,110,107,110,111,119,110,46,10,10,32,32, - 32,32,114,130,0,0,0,114,89,0,0,0,78,122,32,95, - 95,112,97,99,107,97,103,101,95,95,32,33,61,32,95,95, - 115,112,101,99,95,95,46,112,97,114,101,110,116,32,40,122, - 4,32,33,61,32,250,1,41,233,3,0,0,0,41,1,90, - 10,115,116,97,99,107,108,101,118,101,108,122,89,99,97,110, - 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, - 112,97,116,104,95,95,114,1,0,0,0,114,127,0,0,0, - 114,117,0,0,0,114,19,0,0,0,41,6,114,30,0,0, - 0,114,119,0,0,0,114,167,0,0,0,114,168,0,0,0, - 114,169,0,0,0,114,118,0,0,0,41,3,218,7,103,108, - 111,98,97,108,115,114,161,0,0,0,114,82,0,0,0,114, - 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, - 95,252,3,0,0,115,30,0,0,0,0,7,10,1,10,1, - 8,1,18,1,22,2,10,1,6,1,8,1,8,2,6,2, - 10,1,8,1,8,1,14,1,114,193,0,0,0,99,5,0, - 0,0,0,0,0,0,9,0,0,0,5,0,0,0,67,0, - 0,0,115,170,0,0,0,124,4,100,1,107,2,114,18,116, - 0,124,0,131,1,125,5,110,36,124,1,100,2,107,9,114, - 30,124,1,110,2,105,0,125,6,116,1,124,6,131,1,125, - 7,116,0,124,0,124,7,124,4,131,3,125,5,124,3,115, - 154,124,4,100,1,107,2,114,86,116,0,124,0,106,2,100, - 3,131,1,100,1,25,0,131,1,83,0,113,166,124,0,115, - 96,124,5,83,0,113,166,116,3,124,0,131,1,116,3,124, - 0,106,2,100,3,131,1,100,1,25,0,131,1,24,0,125, - 8,116,4,106,5,124,5,106,6,100,2,116,3,124,5,106, - 6,131,1,124,8,24,0,133,2,25,0,25,0,83,0,110, - 12,116,7,124,5,124,3,116,0,131,3,83,0,100,2,83, - 0,41,4,97,215,1,0,0,73,109,112,111,114,116,32,97, - 32,109,111,100,117,108,101,46,10,10,32,32,32,32,84,104, - 101,32,39,103,108,111,98,97,108,115,39,32,97,114,103,117, - 109,101,110,116,32,105,115,32,117,115,101,100,32,116,111,32, - 105,110,102,101,114,32,119,104,101,114,101,32,116,104,101,32, - 105,109,112,111,114,116,32,105,115,32,111,99,99,117,114,114, - 105,110,103,32,102,114,111,109,10,32,32,32,32,116,111,32, - 104,97,110,100,108,101,32,114,101,108,97,116,105,118,101,32, - 105,109,112,111,114,116,115,46,32,84,104,101,32,39,108,111, - 99,97,108,115,39,32,97,114,103,117,109,101,110,116,32,105, - 115,32,105,103,110,111,114,101,100,46,32,84,104,101,10,32, - 32,32,32,39,102,114,111,109,108,105,115,116,39,32,97,114, - 103,117,109,101,110,116,32,115,112,101,99,105,102,105,101,115, - 32,119,104,97,116,32,115,104,111,117,108,100,32,101,120,105, - 115,116,32,97,115,32,97,116,116,114,105,98,117,116,101,115, - 32,111,110,32,116,104,101,32,109,111,100,117,108,101,10,32, - 32,32,32,98,101,105,110,103,32,105,109,112,111,114,116,101, - 100,32,40,101,46,103,46,32,96,96,102,114,111,109,32,109, - 111,100,117,108,101,32,105,109,112,111,114,116,32,60,102,114, - 111,109,108,105,115,116,62,96,96,41,46,32,32,84,104,101, - 32,39,108,101,118,101,108,39,10,32,32,32,32,97,114,103, - 117,109,101,110,116,32,114,101,112,114,101,115,101,110,116,115, - 32,116,104,101,32,112,97,99,107,97,103,101,32,108,111,99, - 97,116,105,111,110,32,116,111,32,105,109,112,111,114,116,32, - 102,114,111,109,32,105,110,32,97,32,114,101,108,97,116,105, - 118,101,10,32,32,32,32,105,109,112,111,114,116,32,40,101, - 46,103,46,32,96,96,102,114,111,109,32,46,46,112,107,103, - 32,105,109,112,111,114,116,32,109,111,100,96,96,32,119,111, - 117,108,100,32,104,97,118,101,32,97,32,39,108,101,118,101, - 108,39,32,111,102,32,50,41,46,10,10,32,32,32,32,114, - 19,0,0,0,78,114,117,0,0,0,41,8,114,182,0,0, - 0,114,193,0,0,0,218,9,112,97,114,116,105,116,105,111, - 110,114,159,0,0,0,114,14,0,0,0,114,79,0,0,0, - 114,1,0,0,0,114,189,0,0,0,41,9,114,15,0,0, - 0,114,192,0,0,0,218,6,108,111,99,97,108,115,114,187, - 0,0,0,114,162,0,0,0,114,83,0,0,0,90,8,103, - 108,111,98,97,108,115,95,114,161,0,0,0,90,7,99,117, - 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, - 23,4,0,0,115,26,0,0,0,0,11,8,1,10,2,16, - 1,8,1,12,1,4,3,8,1,20,1,4,1,6,4,26, - 3,32,2,114,196,0,0,0,99,1,0,0,0,0,0,0, - 0,2,0,0,0,3,0,0,0,67,0,0,0,115,38,0, - 0,0,116,0,106,1,124,0,131,1,125,1,124,1,100,0, - 107,8,114,30,116,2,100,1,124,0,23,0,131,1,130,1, - 116,3,124,1,131,1,83,0,41,2,78,122,25,110,111,32, - 98,117,105,108,116,45,105,110,32,109,111,100,117,108,101,32, - 110,97,109,101,100,32,41,4,114,142,0,0,0,114,146,0, - 0,0,114,70,0,0,0,114,141,0,0,0,41,2,114,15, - 0,0,0,114,82,0,0,0,114,10,0,0,0,114,10,0, - 0,0,114,11,0,0,0,218,18,95,98,117,105,108,116,105, - 110,95,102,114,111,109,95,110,97,109,101,58,4,0,0,115, - 8,0,0,0,0,1,10,1,8,1,12,1,114,197,0,0, - 0,99,2,0,0,0,0,0,0,0,12,0,0,0,12,0, - 0,0,67,0,0,0,115,244,0,0,0,124,1,97,0,124, - 0,97,1,116,2,116,1,131,1,125,2,120,86,116,1,106, - 3,106,4,131,0,68,0,93,72,92,2,125,3,125,4,116, - 5,124,4,124,2,131,2,114,28,124,3,116,1,106,6,107, - 6,114,62,116,7,125,5,110,18,116,0,106,8,124,3,131, - 1,114,28,116,9,125,5,110,2,113,28,116,10,124,4,124, - 5,131,2,125,6,116,11,124,6,124,4,131,2,1,0,113, - 28,87,0,116,1,106,3,116,12,25,0,125,7,120,54,100, - 5,68,0,93,46,125,8,124,8,116,1,106,3,107,7,114, - 144,116,13,124,8,131,1,125,9,110,10,116,1,106,3,124, - 8,25,0,125,9,116,14,124,7,124,8,124,9,131,3,1, - 0,113,120,87,0,121,12,116,13,100,2,131,1,125,10,87, - 0,110,24,4,0,116,15,107,10,114,206,1,0,1,0,1, - 0,100,3,125,10,89,0,110,2,88,0,116,14,124,7,100, - 2,124,10,131,3,1,0,116,13,100,4,131,1,125,11,116, - 14,124,7,100,4,124,11,131,3,1,0,100,3,83,0,41, - 6,122,250,83,101,116,117,112,32,105,109,112,111,114,116,108, - 105,98,32,98,121,32,105,109,112,111,114,116,105,110,103,32, - 110,101,101,100,101,100,32,98,117,105,108,116,45,105,110,32, - 109,111,100,117,108,101,115,32,97,110,100,32,105,110,106,101, - 99,116,105,110,103,32,116,104,101,109,10,32,32,32,32,105, - 110,116,111,32,116,104,101,32,103,108,111,98,97,108,32,110, - 97,109,101,115,112,97,99,101,46,10,10,32,32,32,32,65, - 115,32,115,121,115,32,105,115,32,110,101,101,100,101,100,32, - 102,111,114,32,115,121,115,46,109,111,100,117,108,101,115,32, - 97,99,99,101,115,115,32,97,110,100,32,95,105,109,112,32, - 105,115,32,110,101,101,100,101,100,32,116,111,32,108,111,97, - 100,32,98,117,105,108,116,45,105,110,10,32,32,32,32,109, - 111,100,117,108,101,115,44,32,116,104,111,115,101,32,116,119, - 111,32,109,111,100,117,108,101,115,32,109,117,115,116,32,98, - 101,32,101,120,112,108,105,99,105,116,108,121,32,112,97,115, - 115,101,100,32,105,110,46,10,10,32,32,32,32,114,167,0, - 0,0,114,20,0,0,0,78,114,55,0,0,0,41,1,122, - 9,95,119,97,114,110,105,110,103,115,41,16,114,46,0,0, - 0,114,14,0,0,0,114,13,0,0,0,114,79,0,0,0, - 218,5,105,116,101,109,115,114,171,0,0,0,114,69,0,0, - 0,114,142,0,0,0,114,75,0,0,0,114,152,0,0,0, - 114,128,0,0,0,114,133,0,0,0,114,1,0,0,0,114, - 197,0,0,0,114,5,0,0,0,114,70,0,0,0,41,12, - 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, - 101,95,116,121,112,101,114,15,0,0,0,114,83,0,0,0, - 114,93,0,0,0,114,82,0,0,0,90,11,115,101,108,102, - 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, - 0,0,0,218,6,95,115,101,116,117,112,65,4,0,0,115, - 50,0,0,0,0,9,4,1,4,3,8,1,20,1,10,1, - 10,1,6,1,10,1,6,2,2,1,10,1,14,3,10,1, - 10,1,10,1,10,2,10,1,16,3,2,1,12,1,14,2, - 10,1,12,3,8,1,114,201,0,0,0,99,2,0,0,0, - 0,0,0,0,3,0,0,0,3,0,0,0,67,0,0,0, - 115,66,0,0,0,116,0,124,0,124,1,131,2,1,0,116, - 1,106,2,106,3,116,4,131,1,1,0,116,1,106,2,106, - 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4,1,4,3,8,1,20,1,10,1,10,1,6,1,10,1, + 6,2,2,1,10,1,14,3,10,1,10,1,10,1,10,2, + 10,1,16,3,2,1,12,1,14,2,10,1,12,3,8,1, + 114,201,0,0,0,99,2,0,0,0,0,0,0,0,3,0, + 0,0,3,0,0,0,67,0,0,0,115,66,0,0,0,116, + 0,124,0,124,1,131,2,1,0,116,1,106,2,106,3,116, + 4,131,1,1,0,116,1,106,2,106,3,116,5,131,1,1, + 0,100,1,100,2,108,6,125,2,124,2,97,7,124,2,106, + 8,116,1,106,9,116,10,25,0,131,1,1,0,100,2,83, + 0,41,3,122,50,73,110,115,116,97,108,108,32,105,109,112, + 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, + 105,109,112,111,114,116,46,114,19,0,0,0,78,41,11,114, + 201,0,0,0,114,14,0,0,0,114,166,0,0,0,114,109, + 0,0,0,114,142,0,0,0,114,152,0,0,0,218,26,95, + 102,114,111,122,101,110,95,105,109,112,111,114,116,108,105,98, + 95,101,120,116,101,114,110,97,108,114,115,0,0,0,218,8, + 95,105,110,115,116,97,108,108,114,79,0,0,0,114,1,0, + 0,0,41,3,114,199,0,0,0,114,200,0,0,0,114,202, + 0,0,0,114,10,0,0,0,114,10,0,0,0,114,11,0, + 0,0,114,203,0,0,0,112,4,0,0,115,12,0,0,0, + 0,2,10,2,12,1,12,3,8,1,4,1,114,203,0,0, + 0,41,2,78,78,41,1,78,41,2,78,114,19,0,0,0, + 41,50,114,3,0,0,0,114,115,0,0,0,114,12,0,0, + 0,114,16,0,0,0,114,51,0,0,0,114,29,0,0,0, + 114,36,0,0,0,114,17,0,0,0,114,18,0,0,0,114, + 41,0,0,0,114,42,0,0,0,114,45,0,0,0,114,56, + 0,0,0,114,58,0,0,0,114,68,0,0,0,114,74,0, + 0,0,114,77,0,0,0,114,84,0,0,0,114,95,0,0, + 0,114,96,0,0,0,114,102,0,0,0,114,78,0,0,0, + 218,6,111,98,106,101,99,116,90,9,95,80,79,80,85,76, + 65,84,69,114,128,0,0,0,114,133,0,0,0,114,136,0, + 0,0,114,91,0,0,0,114,80,0,0,0,114,140,0,0, + 0,114,141,0,0,0,114,81,0,0,0,114,142,0,0,0, + 114,152,0,0,0,114,157,0,0,0,114,163,0,0,0,114, + 165,0,0,0,114,170,0,0,0,114,175,0,0,0,90,15, + 95,69,82,82,95,77,83,71,95,80,82,69,70,73,88,114, + 177,0,0,0,114,180,0,0,0,114,181,0,0,0,114,182, + 0,0,0,114,189,0,0,0,114,193,0,0,0,114,196,0, + 0,0,114,197,0,0,0,114,201,0,0,0,114,203,0,0, + 0,114,10,0,0,0,114,10,0,0,0,114,10,0,0,0, + 114,11,0,0,0,218,8,60,109,111,100,117,108,101,62,8, + 0,0,0,115,94,0,0,0,4,17,4,2,8,8,8,7, + 4,2,4,3,16,4,14,68,14,21,14,19,8,19,8,19, + 8,11,14,8,8,11,8,12,8,16,8,36,14,27,14,101, + 16,26,6,3,10,45,14,60,8,17,8,17,8,25,8,29, + 8,23,8,16,14,73,14,77,14,13,8,9,8,9,10,47, + 8,20,4,1,8,2,8,27,8,6,10,25,8,31,8,27, + 18,35,8,7,8,47, }; diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 04bf75924d..935733f701 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -508,579 +508,555 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 4,0,0,0,4,0,0,0,31,0,0,0,115,68,0,0, + 4,0,0,0,4,0,0,0,31,0,0,0,115,66,0,0, 0,124,1,100,0,107,8,114,16,124,0,106,0,125,1,110, 32,124,0,106,0,124,1,107,3,114,48,116,1,100,1,124, 0,106,0,124,1,102,2,22,0,124,1,100,2,141,2,130, - 1,136,0,124,0,124,1,102,2,124,2,152,2,124,3,151, - 1,142,1,83,0,41,3,78,122,30,108,111,97,100,101,114, - 32,102,111,114,32,37,115,32,99,97,110,110,111,116,32,104, - 97,110,100,108,101,32,37,115,41,1,218,4,110,97,109,101, - 41,2,114,102,0,0,0,218,11,73,109,112,111,114,116,69, - 114,114,111,114,41,4,218,4,115,101,108,102,114,102,0,0, - 0,218,4,97,114,103,115,90,6,107,119,97,114,103,115,41, - 1,218,6,109,101,116,104,111,100,114,4,0,0,0,114,6, - 0,0,0,218,19,95,99,104,101,99,107,95,110,97,109,101, - 95,119,114,97,112,112,101,114,135,1,0,0,115,12,0,0, - 0,0,1,8,1,8,1,10,1,4,1,18,1,122,40,95, - 99,104,101,99,107,95,110,97,109,101,46,60,108,111,99,97, - 108,115,62,46,95,99,104,101,99,107,95,110,97,109,101,95, - 119,114,97,112,112,101,114,99,2,0,0,0,0,0,0,0, - 3,0,0,0,7,0,0,0,83,0,0,0,115,60,0,0, - 0,120,40,100,5,68,0,93,32,125,2,116,0,124,1,124, - 2,131,2,114,6,116,1,124,0,124,2,116,2,124,1,124, - 2,131,2,131,3,1,0,113,6,87,0,124,0,106,3,106, - 4,124,1,106,3,131,1,1,0,100,0,83,0,41,6,78, - 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, - 109,101,95,95,218,7,95,95,100,111,99,95,95,41,4,122, - 10,95,95,109,111,100,117,108,101,95,95,122,8,95,95,110, - 97,109,101,95,95,122,12,95,95,113,117,97,108,110,97,109, - 101,95,95,122,7,95,95,100,111,99,95,95,41,5,218,7, - 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, - 101,119,90,3,111,108,100,114,55,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,218,5,95,119,114, - 97,112,146,1,0,0,115,8,0,0,0,0,1,10,1,10, - 1,22,1,122,26,95,99,104,101,99,107,95,110,97,109,101, - 46,60,108,111,99,97,108,115,62,46,95,119,114,97,112,41, - 1,78,41,3,218,10,95,98,111,111,116,115,116,114,97,112, - 114,117,0,0,0,218,9,78,97,109,101,69,114,114,111,114, - 41,3,114,106,0,0,0,114,107,0,0,0,114,117,0,0, - 0,114,4,0,0,0,41,1,114,106,0,0,0,114,6,0, - 0,0,218,11,95,99,104,101,99,107,95,110,97,109,101,127, - 1,0,0,115,14,0,0,0,0,8,14,7,2,1,10,1, - 14,2,14,5,10,1,114,120,0,0,0,99,2,0,0,0, - 0,0,0,0,5,0,0,0,4,0,0,0,67,0,0,0, - 115,60,0,0,0,124,0,106,0,124,1,131,1,92,2,125, - 2,125,3,124,2,100,1,107,8,114,56,116,1,124,3,131, - 1,114,56,100,2,125,4,116,2,106,3,124,4,106,4,124, - 3,100,3,25,0,131,1,116,5,131,2,1,0,124,2,83, - 0,41,4,122,155,84,114,121,32,116,111,32,102,105,110,100, - 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, - 62,0,0,0,41,6,218,11,102,105,110,100,95,108,111,97, - 100,101,114,114,33,0,0,0,114,63,0,0,0,114,64,0, - 0,0,114,50,0,0,0,218,13,73,109,112,111,114,116,87, - 97,114,110,105,110,103,41,5,114,104,0,0,0,218,8,102, - 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, - 0,0,0,114,4,0,0,0,114,6,0,0,0,218,17,95, - 102,105,110,100,95,109,111,100,117,108,101,95,115,104,105,109, - 155,1,0,0,115,10,0,0,0,0,10,14,1,16,1,4, - 1,22,1,114,127,0,0,0,99,4,0,0,0,0,0,0, - 0,11,0,0,0,22,0,0,0,67,0,0,0,115,142,1, - 0,0,105,0,125,4,124,2,100,1,107,9,114,22,124,2, - 124,4,100,2,60,0,110,4,100,3,125,2,124,3,100,1, - 107,9,114,42,124,3,124,4,100,4,60,0,124,0,100,1, - 100,5,133,2,25,0,125,5,124,0,100,5,100,6,133,2, - 25,0,125,6,124,0,100,6,100,7,133,2,25,0,125,7, - 124,5,116,0,107,3,114,126,100,8,106,1,124,2,124,5, - 131,2,125,8,116,2,106,3,100,9,124,8,131,2,1,0, - 116,4,124,8,102,1,124,4,151,1,142,1,130,1,110,86, - 116,5,124,6,131,1,100,5,107,3,114,170,100,10,106,1, - 124,2,131,1,125,8,116,2,106,3,100,9,124,8,131,2, - 1,0,116,6,124,8,131,1,130,1,110,42,116,5,124,7, - 131,1,100,5,107,3,114,212,100,11,106,1,124,2,131,1, + 1,136,0,124,0,124,1,102,2,124,2,152,2,124,3,142, + 1,83,0,41,3,78,122,30,108,111,97,100,101,114,32,102, + 111,114,32,37,115,32,99,97,110,110,111,116,32,104,97,110, + 100,108,101,32,37,115,41,1,218,4,110,97,109,101,41,2, + 114,102,0,0,0,218,11,73,109,112,111,114,116,69,114,114, + 111,114,41,4,218,4,115,101,108,102,114,102,0,0,0,218, + 4,97,114,103,115,90,6,107,119,97,114,103,115,41,1,218, + 6,109,101,116,104,111,100,114,4,0,0,0,114,6,0,0, + 0,218,19,95,99,104,101,99,107,95,110,97,109,101,95,119, + 114,97,112,112,101,114,135,1,0,0,115,12,0,0,0,0, + 1,8,1,8,1,10,1,4,1,18,1,122,40,95,99,104, + 101,99,107,95,110,97,109,101,46,60,108,111,99,97,108,115, + 62,46,95,99,104,101,99,107,95,110,97,109,101,95,119,114, + 97,112,112,101,114,99,2,0,0,0,0,0,0,0,3,0, + 0,0,7,0,0,0,83,0,0,0,115,60,0,0,0,120, + 40,100,5,68,0,93,32,125,2,116,0,124,1,124,2,131, + 2,114,6,116,1,124,0,124,2,116,2,124,1,124,2,131, + 2,131,3,1,0,113,6,87,0,124,0,106,3,106,4,124, + 1,106,3,131,1,1,0,100,0,83,0,41,6,78,218,10, + 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, + 95,95,218,7,95,95,100,111,99,95,95,41,4,122,10,95, + 95,109,111,100,117,108,101,95,95,122,8,95,95,110,97,109, + 101,95,95,122,12,95,95,113,117,97,108,110,97,109,101,95, + 95,122,7,95,95,100,111,99,95,95,41,5,218,7,104,97, + 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, + 90,3,111,108,100,114,55,0,0,0,114,4,0,0,0,114, + 4,0,0,0,114,6,0,0,0,218,5,95,119,114,97,112, + 146,1,0,0,115,8,0,0,0,0,1,10,1,10,1,22, + 1,122,26,95,99,104,101,99,107,95,110,97,109,101,46,60, + 108,111,99,97,108,115,62,46,95,119,114,97,112,41,1,78, + 41,3,218,10,95,98,111,111,116,115,116,114,97,112,114,117, + 0,0,0,218,9,78,97,109,101,69,114,114,111,114,41,3, + 114,106,0,0,0,114,107,0,0,0,114,117,0,0,0,114, + 4,0,0,0,41,1,114,106,0,0,0,114,6,0,0,0, + 218,11,95,99,104,101,99,107,95,110,97,109,101,127,1,0, + 0,115,14,0,0,0,0,8,14,7,2,1,10,1,14,2, + 14,5,10,1,114,120,0,0,0,99,2,0,0,0,0,0, + 0,0,5,0,0,0,4,0,0,0,67,0,0,0,115,60, + 0,0,0,124,0,106,0,124,1,131,1,92,2,125,2,125, + 3,124,2,100,1,107,8,114,56,116,1,124,3,131,1,114, + 56,100,2,125,4,116,2,106,3,124,4,106,4,124,3,100, + 3,25,0,131,1,116,5,131,2,1,0,124,2,83,0,41, + 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, + 115,105,110,103,32,95,95,105,110,105,116,95,95,114,62,0, + 0,0,41,6,218,11,102,105,110,100,95,108,111,97,100,101, + 114,114,33,0,0,0,114,63,0,0,0,114,64,0,0,0, + 114,50,0,0,0,218,13,73,109,112,111,114,116,87,97,114, + 110,105,110,103,41,5,114,104,0,0,0,218,8,102,117,108, + 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, + 0,114,4,0,0,0,114,6,0,0,0,218,17,95,102,105, + 110,100,95,109,111,100,117,108,101,95,115,104,105,109,155,1, + 0,0,115,10,0,0,0,0,10,14,1,16,1,4,1,22, + 1,114,127,0,0,0,99,4,0,0,0,0,0,0,0,11, + 0,0,0,22,0,0,0,67,0,0,0,115,136,1,0,0, + 105,0,125,4,124,2,100,1,107,9,114,22,124,2,124,4, + 100,2,60,0,110,4,100,3,125,2,124,3,100,1,107,9, + 114,42,124,3,124,4,100,4,60,0,124,0,100,1,100,5, + 133,2,25,0,125,5,124,0,100,5,100,6,133,2,25,0, + 125,6,124,0,100,6,100,7,133,2,25,0,125,7,124,5, + 116,0,107,3,114,124,100,8,106,1,124,2,124,5,131,2, + 125,8,116,2,106,3,100,9,124,8,131,2,1,0,116,4, + 124,8,102,1,124,4,142,1,130,1,110,86,116,5,124,6, + 131,1,100,5,107,3,114,168,100,10,106,1,124,2,131,1, 125,8,116,2,106,3,100,9,124,8,131,2,1,0,116,6, - 124,8,131,1,130,1,124,1,100,1,107,9,144,1,114,130, - 121,16,116,7,124,1,100,12,25,0,131,1,125,9,87,0, - 110,22,4,0,116,8,107,10,144,1,114,4,1,0,1,0, - 1,0,89,0,110,52,88,0,116,9,124,6,131,1,124,9, - 107,3,144,1,114,56,100,13,106,1,124,2,131,1,125,8, - 116,2,106,3,100,9,124,8,131,2,1,0,116,4,124,8, - 102,1,124,4,151,1,142,1,130,1,121,16,124,1,100,14, - 25,0,100,15,64,0,125,10,87,0,110,22,4,0,116,8, - 107,10,144,1,114,94,1,0,1,0,1,0,89,0,110,36, - 88,0,116,9,124,7,131,1,124,10,107,3,144,1,114,130, - 116,4,100,13,106,1,124,2,131,1,102,1,124,4,151,1, - 142,1,130,1,124,0,100,7,100,1,133,2,25,0,83,0, - 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, - 32,78,114,102,0,0,0,122,10,60,98,121,116,101,99,111, - 100,101,62,114,37,0,0,0,114,14,0,0,0,233,8,0, - 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, - 218,12,77,65,71,73,67,95,78,85,77,66,69,82,114,50, - 0,0,0,114,118,0,0,0,218,16,95,118,101,114,98,111, - 115,101,95,109,101,115,115,97,103,101,114,103,0,0,0,114, - 33,0,0,0,218,8,69,79,70,69,114,114,111,114,114,16, - 0,0,0,218,8,75,101,121,69,114,114,111,114,114,21,0, - 0,0,41,11,114,56,0,0,0,218,12,115,111,117,114,99, - 101,95,115,116,97,116,115,114,102,0,0,0,114,37,0,0, - 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, - 116,97,109,112,90,8,114,97,119,95,115,105,122,101,114,79, - 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, - 0,0,0,114,4,0,0,0,114,6,0,0,0,218,25,95, - 118,97,108,105,100,97,116,101,95,98,121,116,101,99,111,100, - 101,95,104,101,97,100,101,114,172,1,0,0,115,76,0,0, - 0,0,11,4,1,8,1,10,3,4,1,8,1,8,1,12, - 1,12,1,12,1,8,1,12,1,12,1,16,1,12,1,10, - 1,12,1,10,1,12,1,10,1,12,1,8,1,10,1,2, - 1,16,1,16,1,6,2,14,1,10,1,12,1,14,1,2, - 1,16,1,16,1,6,2,14,1,12,1,8,1,114,139,0, - 0,0,99,4,0,0,0,0,0,0,0,5,0,0,0,5, - 0,0,0,67,0,0,0,115,82,0,0,0,116,0,106,1, - 124,0,131,1,125,4,116,2,124,4,116,3,131,2,114,58, - 116,4,106,5,100,1,124,2,131,2,1,0,124,3,100,2, 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0,0,114,94,0,0,0,218,4,99,111,100,101,114,4,0, - 0,0,114,4,0,0,0,114,6,0,0,0,218,17,95,99, - 111,109,112,105,108,101,95,98,121,116,101,99,111,100,101,227, - 1,0,0,115,16,0,0,0,0,2,10,1,10,1,12,1, - 8,1,12,1,6,2,10,1,114,145,0,0,0,114,62,0, - 0,0,99,3,0,0,0,0,0,0,0,4,0,0,0,3, - 0,0,0,67,0,0,0,115,56,0,0,0,116,0,116,1, - 131,1,125,3,124,3,106,2,116,3,124,1,131,1,131,1, - 1,0,124,3,106,2,116,3,124,2,131,1,131,1,1,0, - 124,3,106,2,116,4,106,5,124,0,131,1,131,1,1,0, - 124,3,83,0,41,1,122,80,67,111,109,112,105,108,101,32, - 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, - 97,114,114,97,121,114,132,0,0,0,218,6,101,120,116,101, - 110,100,114,19,0,0,0,114,140,0,0,0,90,5,100,117, - 109,112,115,41,4,114,144,0,0,0,114,130,0,0,0,114, - 138,0,0,0,114,56,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,218,17,95,99,111,100,101,95, - 116,111,95,98,121,116,101,99,111,100,101,239,1,0,0,115, - 10,0,0,0,0,3,8,1,14,1,14,1,16,1,114,148, - 0,0,0,99,1,0,0,0,0,0,0,0,5,0,0,0, - 4,0,0,0,67,0,0,0,115,62,0,0,0,100,1,100, - 2,108,0,125,1,116,1,106,2,124,0,131,1,106,3,125, - 2,124,1,106,4,124,2,131,1,125,3,116,1,106,5,100, - 2,100,3,131,2,125,4,124,4,106,6,124,0,106,6,124, - 3,100,1,25,0,131,1,131,1,83,0,41,4,122,121,68, - 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, - 110,103,46,10,32,32,32,32,114,62,0,0,0,78,84,41, - 7,218,8,116,111,107,101,110,105,122,101,114,52,0,0,0, - 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, - 101,95,98,121,116,101,115,114,149,0,0,0,90,21,115,111, - 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, - 0,0,0,114,4,0,0,0,114,6,0,0,0,218,13,100, - 101,99,111,100,101,95,115,111,117,114,99,101,249,1,0,0, - 115,10,0,0,0,0,5,8,1,12,1,10,1,12,1,114, - 153,0,0,0,41,2,114,124,0,0,0,218,26,115,117,98, - 109,111,100,117,108,101,95,115,101,97,114,99,104,95,108,111, - 99,97,116,105,111,110,115,99,2,0,0,0,2,0,0,0, - 9,0,0,0,19,0,0,0,67,0,0,0,115,18,1,0, - 0,124,1,100,1,107,8,114,60,100,2,125,1,116,0,124, 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111,99,97,116,105,111,110,46,10,10,32,32,32,32,84,111, - 32,105,110,100,105,99,97,116,101,32,116,104,97,116,32,116, - 104,101,32,109,111,100,117,108,101,32,105,115,32,97,32,112, - 97,99,107,97,103,101,44,32,115,101,116,10,32,32,32,32, - 115,117,98,109,111,100,117,108,101,95,115,101,97,114,99,104, - 95,108,111,99,97,116,105,111,110,115,32,116,111,32,97,32, - 108,105,115,116,32,111,102,32,100,105,114,101,99,116,111,114, - 121,32,112,97,116,104,115,46,32,32,65,110,10,32,32,32, - 32,101,109,112,116,121,32,108,105,115,116,32,105,115,32,115, - 117,102,102,105,99,105,101,110,116,44,32,116,104,111,117,103, - 104,32,105,116,115,32,110,111,116,32,111,116,104,101,114,119, - 105,115,101,32,117,115,101,102,117,108,32,116,111,32,116,104, - 101,10,32,32,32,32,105,109,112,111,114,116,32,115,121,115, - 116,101,109,46,10,10,32,32,32,32,84,104,101,32,108,111, - 97,100,101,114,32,109,117,115,116,32,116,97,107,101,32,97, - 32,115,112,101,99,32,97,115,32,105,116,115,32,111,110,108, - 121,32,95,95,105,110,105,116,95,95,40,41,32,97,114,103, - 46,10,10,32,32,32,32,78,122,9,60,117,110,107,110,111, - 119,110,62,218,12,103,101,116,95,102,105,108,101,110,97,109, - 101,41,1,218,6,111,114,105,103,105,110,84,218,10,105,115, - 95,112,97,99,107,97,103,101,114,62,0,0,0,41,17,114, - 112,0,0,0,114,155,0,0,0,114,103,0,0,0,114,3, - 0,0,0,114,67,0,0,0,114,118,0,0,0,218,10,77, - 111,100,117,108,101,83,112,101,99,90,13,95,115,101,116,95, - 102,105,108,101,97,116,116,114,218,27,95,103,101,116,95,115, - 117,112,112,111,114,116,101,100,95,102,105,108,101,95,108,111, - 97,100,101,114,115,114,96,0,0,0,114,97,0,0,0,114, - 124,0,0,0,218,9,95,80,79,80,85,76,65,84,69,114, - 157,0,0,0,114,154,0,0,0,114,40,0,0,0,218,6, - 97,112,112,101,110,100,41,9,114,102,0,0,0,90,8,108, - 111,99,97,116,105,111,110,114,124,0,0,0,114,154,0,0, - 0,218,4,115,112,101,99,218,12,108,111,97,100,101,114,95, - 99,108,97,115,115,218,8,115,117,102,102,105,120,101,115,114, - 157,0,0,0,90,7,100,105,114,110,97,109,101,114,4,0, - 0,0,114,4,0,0,0,114,6,0,0,0,218,23,115,112, - 101,99,95,102,114,111,109,95,102,105,108,101,95,108,111,99, - 97,116,105,111,110,10,2,0,0,115,62,0,0,0,0,12, - 8,4,4,1,10,2,2,1,14,1,14,1,8,2,10,8, - 16,1,6,3,8,1,16,1,14,1,10,1,6,1,6,2, - 4,3,8,2,10,1,2,1,14,1,14,1,6,2,4,1, - 8,2,6,1,12,1,6,1,12,1,12,2,114,165,0,0, - 0,99,0,0,0,0,0,0,0,0,0,0,0,0,4,0, - 0,0,64,0,0,0,115,80,0,0,0,101,0,90,1,100, - 0,90,2,100,1,90,3,100,2,90,4,100,3,90,5,100, - 4,90,6,101,7,100,5,100,6,132,0,131,1,90,8,101, - 7,100,7,100,8,132,0,131,1,90,9,101,7,100,14,100, - 10,100,11,132,1,131,1,90,10,101,7,100,15,100,12,100, - 13,132,1,131,1,90,11,100,9,83,0,41,16,218,21,87, - 105,110,100,111,119,115,82,101,103,105,115,116,114,121,70,105, - 110,100,101,114,122,62,77,101,116,97,32,112,97,116,104,32, - 102,105,110,100,101,114,32,102,111,114,32,109,111,100,117,108, - 101,115,32,100,101,99,108,97,114,101,100,32,105,110,32,116, - 104,101,32,87,105,110,100,111,119,115,32,114,101,103,105,115, - 116,114,121,46,122,59,83,111,102,116,119,97,114,101,92,80, - 121,116,104,111,110,92,80,121,116,104,111,110,67,111,114,101, - 92,123,115,121,115,95,118,101,114,115,105,111,110,125,92,77, - 111,100,117,108,101,115,92,123,102,117,108,108,110,97,109,101, - 125,122,65,83,111,102,116,119,97,114,101,92,80,121,116,104, - 111,110,92,80,121,116,104,111,110,67,111,114,101,92,123,115, - 121,115,95,118,101,114,115,105,111,110,125,92,77,111,100,117, - 108,101,115,92,123,102,117,108,108,110,97,109,101,125,92,68, - 101,98,117,103,70,99,2,0,0,0,0,0,0,0,2,0, - 0,0,11,0,0,0,67,0,0,0,115,50,0,0,0,121, - 14,116,0,106,1,116,0,106,2,124,1,131,2,83,0,4, - 0,116,3,107,10,114,44,1,0,1,0,1,0,116,0,106, - 1,116,0,106,4,124,1,131,2,83,0,88,0,100,0,83, - 0,41,1,78,41,5,218,7,95,119,105,110,114,101,103,90, - 7,79,112,101,110,75,101,121,90,17,72,75,69,89,95,67, - 85,82,82,69,78,84,95,85,83,69,82,114,42,0,0,0, - 90,18,72,75,69,89,95,76,79,67,65,76,95,77,65,67, - 72,73,78,69,41,2,218,3,99,108,115,114,5,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 14,95,111,112,101,110,95,114,101,103,105,115,116,114,121,90, - 2,0,0,115,8,0,0,0,0,2,2,1,14,1,14,1, - 122,36,87,105,110,100,111,119,115,82,101,103,105,115,116,114, - 121,70,105,110,100,101,114,46,95,111,112,101,110,95,114,101, - 103,105,115,116,114,121,99,2,0,0,0,0,0,0,0,6, - 0,0,0,16,0,0,0,67,0,0,0,115,112,0,0,0, - 124,0,106,0,114,14,124,0,106,1,125,2,110,6,124,0, - 106,2,125,2,124,2,106,3,124,1,100,1,116,4,106,5, - 100,0,100,2,133,2,25,0,22,0,100,3,141,2,125,3, - 121,38,124,0,106,6,124,3,131,1,143,18,125,4,116,7, - 106,8,124,4,100,4,131,2,125,5,87,0,100,0,81,0, - 82,0,88,0,87,0,110,20,4,0,116,9,107,10,114,106, - 1,0,1,0,1,0,100,0,83,0,88,0,124,5,83,0, - 41,5,78,122,5,37,100,46,37,100,114,59,0,0,0,41, - 2,114,123,0,0,0,90,11,115,121,115,95,118,101,114,115, - 105,111,110,114,32,0,0,0,41,10,218,11,68,69,66,85, - 71,95,66,85,73,76,68,218,18,82,69,71,73,83,84,82, - 89,95,75,69,89,95,68,69,66,85,71,218,12,82,69,71, - 73,83,84,82,89,95,75,69,89,114,50,0,0,0,114,8, - 0,0,0,218,12,118,101,114,115,105,111,110,95,105,110,102, - 111,114,169,0,0,0,114,167,0,0,0,90,10,81,117,101, - 114,121,86,97,108,117,101,114,42,0,0,0,41,6,114,168, - 0,0,0,114,123,0,0,0,90,12,114,101,103,105,115,116, - 114,121,95,107,101,121,114,5,0,0,0,90,4,104,107,101, - 121,218,8,102,105,108,101,112,97,116,104,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,218,16,95,115,101,97, - 114,99,104,95,114,101,103,105,115,116,114,121,97,2,0,0, - 115,22,0,0,0,0,2,6,1,8,2,6,1,6,1,22, - 1,2,1,12,1,26,1,14,1,6,1,122,38,87,105,110, - 100,111,119,115,82,101,103,105,115,116,114,121,70,105,110,100, - 101,114,46,95,115,101,97,114,99,104,95,114,101,103,105,115, - 116,114,121,78,99,4,0,0,0,0,0,0,0,8,0,0, - 0,14,0,0,0,67,0,0,0,115,120,0,0,0,124,0, - 106,0,124,1,131,1,125,4,124,4,100,0,107,8,114,22, - 100,0,83,0,121,12,116,1,124,4,131,1,1,0,87,0, - 110,20,4,0,116,2,107,10,114,54,1,0,1,0,1,0, - 100,0,83,0,88,0,120,58,116,3,131,0,68,0,93,48, - 92,2,125,5,125,6,124,4,106,4,116,5,124,6,131,1, - 131,1,114,64,116,6,106,7,124,1,124,5,124,1,124,4, - 131,2,124,4,100,1,141,3,125,7,124,7,83,0,113,64, - 87,0,100,0,83,0,41,2,78,41,1,114,156,0,0,0, - 41,8,114,175,0,0,0,114,41,0,0,0,114,42,0,0, - 0,114,159,0,0,0,114,96,0,0,0,114,97,0,0,0, - 114,118,0,0,0,218,16,115,112,101,99,95,102,114,111,109, - 95,108,111,97,100,101,114,41,8,114,168,0,0,0,114,123, - 0,0,0,114,37,0,0,0,218,6,116,97,114,103,101,116, - 114,174,0,0,0,114,124,0,0,0,114,164,0,0,0,114, - 162,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,218,9,102,105,110,100,95,115,112,101,99,112,2, - 0,0,115,26,0,0,0,0,2,10,1,8,1,4,1,2, - 1,12,1,14,1,6,1,16,1,14,1,6,1,8,1,8, - 1,122,31,87,105,110,100,111,119,115,82,101,103,105,115,116, - 114,121,70,105,110,100,101,114,46,102,105,110,100,95,115,112, - 101,99,99,3,0,0,0,0,0,0,0,4,0,0,0,3, - 0,0,0,67,0,0,0,115,36,0,0,0,124,0,106,0, - 124,1,124,2,131,2,125,3,124,3,100,1,107,9,114,28, - 124,3,106,1,83,0,110,4,100,1,83,0,100,1,83,0, - 41,2,122,108,70,105,110,100,32,109,111,100,117,108,101,32, - 110,97,109,101,100,32,105,110,32,116,104,101,32,114,101,103, - 105,115,116,114,121,46,10,10,32,32,32,32,32,32,32,32, - 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, - 78,41,2,114,178,0,0,0,114,124,0,0,0,41,4,114, - 168,0,0,0,114,123,0,0,0,114,37,0,0,0,114,162, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,11,102,105,110,100,95,109,111,100,117,108,101,128, - 2,0,0,115,8,0,0,0,0,7,12,1,8,1,8,2, - 122,33,87,105,110,100,111,119,115,82,101,103,105,115,116,114, - 121,70,105,110,100,101,114,46,102,105,110,100,95,109,111,100, - 117,108,101,41,2,78,78,41,1,78,41,12,114,109,0,0, - 0,114,108,0,0,0,114,110,0,0,0,114,111,0,0,0, - 114,172,0,0,0,114,171,0,0,0,114,170,0,0,0,218, - 11,99,108,97,115,115,109,101,116,104,111,100,114,169,0,0, - 0,114,175,0,0,0,114,178,0,0,0,114,179,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,166,0,0,0,78,2,0,0,115,20,0, - 0,0,8,2,4,3,4,3,4,2,4,2,12,7,12,15, - 2,1,12,15,2,1,114,166,0,0,0,99,0,0,0,0, - 0,0,0,0,0,0,0,0,2,0,0,0,64,0,0,0, - 115,48,0,0,0,101,0,90,1,100,0,90,2,100,1,90, - 3,100,2,100,3,132,0,90,4,100,4,100,5,132,0,90, - 5,100,6,100,7,132,0,90,6,100,8,100,9,132,0,90, - 7,100,10,83,0,41,11,218,13,95,76,111,97,100,101,114, - 66,97,115,105,99,115,122,83,66,97,115,101,32,99,108,97, - 115,115,32,111,102,32,99,111,109,109,111,110,32,99,111,100, - 101,32,110,101,101,100,101,100,32,98,121,32,98,111,116,104, - 32,83,111,117,114,99,101,76,111,97,100,101,114,32,97,110, - 100,10,32,32,32,32,83,111,117,114,99,101,108,101,115,115, - 70,105,108,101,76,111,97,100,101,114,46,99,2,0,0,0, - 0,0,0,0,5,0,0,0,3,0,0,0,67,0,0,0, - 115,64,0,0,0,116,0,124,0,106,1,124,1,131,1,131, - 1,100,1,25,0,125,2,124,2,106,2,100,2,100,1,131, - 2,100,3,25,0,125,3,124,1,106,3,100,2,131,1,100, - 4,25,0,125,4,124,3,100,5,107,2,111,62,124,4,100, - 5,107,3,83,0,41,6,122,141,67,111,110,99,114,101,116, - 101,32,105,109,112,108,101,109,101,110,116,97,116,105,111,110, - 32,111,102,32,73,110,115,112,101,99,116,76,111,97,100,101, - 114,46,105,115,95,112,97,99,107,97,103,101,32,98,121,32, - 99,104,101,99,107,105,110,103,32,105,102,10,32,32,32,32, - 32,32,32,32,116,104,101,32,112,97,116,104,32,114,101,116, - 117,114,110,101,100,32,98,121,32,103,101,116,95,102,105,108, - 101,110,97,109,101,32,104,97,115,32,97,32,102,105,108,101, - 110,97,109,101,32,111,102,32,39,95,95,105,110,105,116,95, - 95,46,112,121,39,46,114,31,0,0,0,114,61,0,0,0, - 114,62,0,0,0,114,59,0,0,0,218,8,95,95,105,110, - 105,116,95,95,41,4,114,40,0,0,0,114,155,0,0,0, - 114,36,0,0,0,114,34,0,0,0,41,5,114,104,0,0, - 0,114,123,0,0,0,114,98,0,0,0,90,13,102,105,108, - 101,110,97,109,101,95,98,97,115,101,90,9,116,97,105,108, - 95,110,97,109,101,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,157,0,0,0,147,2,0,0,115,8,0, - 0,0,0,3,18,1,16,1,14,1,122,24,95,76,111,97, - 100,101,114,66,97,115,105,99,115,46,105,115,95,112,97,99, - 107,97,103,101,99,2,0,0,0,0,0,0,0,2,0,0, - 0,1,0,0,0,67,0,0,0,115,4,0,0,0,100,1, - 83,0,41,2,122,42,85,115,101,32,100,101,102,97,117,108, - 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, - 78,114,4,0,0,0,41,2,114,104,0,0,0,114,162,0, - 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,218,13,99,114,101,97,116,101,95,109,111,100,117,108,101, - 155,2,0,0,115,0,0,0,0,122,27,95,76,111,97,100, - 101,114,66,97,115,105,99,115,46,99,114,101,97,116,101,95, - 109,111,100,117,108,101,99,2,0,0,0,0,0,0,0,3, - 0,0,0,4,0,0,0,67,0,0,0,115,56,0,0,0, - 124,0,106,0,124,1,106,1,131,1,125,2,124,2,100,1, - 107,8,114,36,116,2,100,2,106,3,124,1,106,1,131,1, - 131,1,130,1,116,4,106,5,116,6,124,2,124,1,106,7, - 131,3,1,0,100,1,83,0,41,3,122,19,69,120,101,99, - 117,116,101,32,116,104,101,32,109,111,100,117,108,101,46,78, - 122,52,99,97,110,110,111,116,32,108,111,97,100,32,109,111, - 100,117,108,101,32,123,33,114,125,32,119,104,101,110,32,103, - 101,116,95,99,111,100,101,40,41,32,114,101,116,117,114,110, - 115,32,78,111,110,101,41,8,218,8,103,101,116,95,99,111, - 100,101,114,109,0,0,0,114,103,0,0,0,114,50,0,0, - 0,114,118,0,0,0,218,25,95,99,97,108,108,95,119,105, - 116,104,95,102,114,97,109,101,115,95,114,101,109,111,118,101, - 100,218,4,101,120,101,99,114,115,0,0,0,41,3,114,104, - 0,0,0,218,6,109,111,100,117,108,101,114,144,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 11,101,120,101,99,95,109,111,100,117,108,101,158,2,0,0, - 115,10,0,0,0,0,2,12,1,8,1,6,1,10,1,122, - 25,95,76,111,97,100,101,114,66,97,115,105,99,115,46,101, - 120,101,99,95,109,111,100,117,108,101,99,2,0,0,0,0, - 0,0,0,2,0,0,0,3,0,0,0,67,0,0,0,115, - 12,0,0,0,116,0,106,1,124,0,124,1,131,2,83,0, - 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109,101,39,32,40,109,97,110,100,97,116,111,114,121,41,32, + 105,115,32,116,104,101,32,110,117,109,101,114,105,99,32,116, + 105,109,101,115,116,97,109,112,32,111,102,32,108,97,115,116, + 32,115,111,117,114,99,101,10,32,32,32,32,32,32,32,32, + 32,32,99,111,100,101,32,109,111,100,105,102,105,99,97,116, + 105,111,110,59,10,32,32,32,32,32,32,32,32,45,32,39, + 115,105,122,101,39,32,40,111,112,116,105,111,110,97,108,41, + 32,105,115,32,116,104,101,32,115,105,122,101,32,105,110,32, + 98,121,116,101,115,32,111,102,32,116,104,101,32,115,111,117, + 114,99,101,32,99,111,100,101,46,10,10,32,32,32,32,32, + 32,32,32,73,109,112,108,101,109,101,110,116,105,110,103,32, + 116,104,105,115,32,109,101,116,104,111,100,32,97,108,108,111, + 119,115,32,116,104,101,32,108,111,97,100,101,114,32,116,111, + 32,114,101,97,100,32,98,121,116,101,99,111,100,101,32,102, + 105,108,101,115,46,10,32,32,32,32,32,32,32,32,82,97, + 105,115,101,115,32,73,79,69,114,114,111,114,32,119,104,101, + 110,32,116,104,101,32,112,97,116,104,32,99,97,110,110,111, + 116,32,98,101,32,104,97,110,100,108,101,100,46,10,32,32, + 32,32,32,32,32,32,114,130,0,0,0,41,1,114,193,0, + 0,0,41,2,114,104,0,0,0,114,37,0,0,0,114,4, + 0,0,0,114,4,0,0,0,114,6,0,0,0,218,10,112, + 97,116,104,95,115,116,97,116,115,181,2,0,0,115,2,0, + 0,0,0,11,122,23,83,111,117,114,99,101,76,111,97,100, + 101,114,46,112,97,116,104,95,115,116,97,116,115,99,4,0, + 0,0,0,0,0,0,4,0,0,0,3,0,0,0,67,0, + 0,0,115,12,0,0,0,124,0,106,0,124,2,124,3,131, + 2,83,0,41,1,122,228,79,112,116,105,111,110,97,108,32, 109,101,116,104,111,100,32,119,104,105,99,104,32,119,114,105, 116,101,115,32,100,97,116,97,32,40,98,121,116,101,115,41, 32,116,111,32,97,32,102,105,108,101,32,112,97,116,104,32, @@ -1089,1352 +1065,1376 @@ const unsigned char _Py_M__importlib_external[] = { 104,105,115,32,109,101,116,104,111,100,32,97,108,108,111,119, 115,32,102,111,114,32,116,104,101,32,119,114,105,116,105,110, 103,32,111,102,32,98,121,116,101,99,111,100,101,32,102,105, - 108,101,115,46,10,32,32,32,32,32,32,32,32,78,114,4, - 0,0,0,41,3,114,104,0,0,0,114,37,0,0,0,114, + 108,101,115,46,10,10,32,32,32,32,32,32,32,32,84,104, + 101,32,115,111,117,114,99,101,32,112,97,116,104,32,105,115, + 32,110,101,101,100,101,100,32,105,110,32,111,114,100,101,114, + 32,116,111,32,99,111,114,114,101,99,116,108,121,32,116,114, + 97,110,115,102,101,114,32,112,101,114,109,105,115,115,105,111, + 110,115,10,32,32,32,32,32,32,32,32,41,1,218,8,115, + 101,116,95,100,97,116,97,41,4,114,104,0,0,0,114,94, + 0,0,0,90,10,99,97,99,104,101,95,112,97,116,104,114, 56,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,195,0,0,0,204,2,0,0,115,0,0,0, - 0,122,21,83,111,117,114,99,101,76,111,97,100,101,114,46, - 115,101,116,95,100,97,116,97,99,2,0,0,0,0,0,0, - 0,5,0,0,0,16,0,0,0,67,0,0,0,115,82,0, - 0,0,124,0,106,0,124,1,131,1,125,2,121,14,124,0, - 106,1,124,2,131,1,125,3,87,0,110,48,4,0,116,2, - 107,10,114,72,1,0,125,4,1,0,122,20,116,3,100,1, - 124,1,100,2,141,2,124,4,130,2,87,0,89,0,100,3, - 100,3,125,4,126,4,88,0,110,2,88,0,116,4,124,3, - 131,1,83,0,41,4,122,52,67,111,110,99,114,101,116,101, - 32,105,109,112,108,101,109,101,110,116,97,116,105,111,110,32, - 111,102,32,73,110,115,112,101,99,116,76,111,97,100,101,114, - 46,103,101,116,95,115,111,117,114,99,101,46,122,39,115,111, - 117,114,99,101,32,110,111,116,32,97,118,97,105,108,97,98, - 108,101,32,116,104,114,111,117,103,104,32,103,101,116,95,100, - 97,116,97,40,41,41,1,114,102,0,0,0,78,41,5,114, - 155,0,0,0,218,8,103,101,116,95,100,97,116,97,114,42, - 0,0,0,114,103,0,0,0,114,153,0,0,0,41,5,114, - 104,0,0,0,114,123,0,0,0,114,37,0,0,0,114,151, - 0,0,0,218,3,101,120,99,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,218,10,103,101,116,95,115,111,117, - 114,99,101,211,2,0,0,115,14,0,0,0,0,2,10,1, - 2,1,14,1,16,1,4,1,28,1,122,23,83,111,117,114, - 99,101,76,111,97,100,101,114,46,103,101,116,95,115,111,117, - 114,99,101,114,31,0,0,0,41,1,218,9,95,111,112,116, - 105,109,105,122,101,99,3,0,0,0,1,0,0,0,4,0, - 0,0,8,0,0,0,67,0,0,0,115,22,0,0,0,116, - 0,106,1,116,2,124,1,124,2,100,1,100,2,124,3,100, - 3,141,6,83,0,41,4,122,130,82,101,116,117,114,110,32, - 116,104,101,32,99,111,100,101,32,111,98,106,101,99,116,32, - 99,111,109,112,105,108,101,100,32,102,114,111,109,32,115,111, - 117,114,99,101,46,10,10,32,32,32,32,32,32,32,32,84, - 104,101,32,39,100,97,116,97,39,32,97,114,103,117,109,101, - 110,116,32,99,97,110,32,98,101,32,97,110,121,32,111,98, - 106,101,99,116,32,116,121,112,101,32,116,104,97,116,32,99, - 111,109,112,105,108,101,40,41,32,115,117,112,112,111,114,116, - 115,46,10,32,32,32,32,32,32,32,32,114,186,0,0,0, - 84,41,2,218,12,100,111,110,116,95,105,110,104,101,114,105, - 116,114,72,0,0,0,41,3,114,118,0,0,0,114,185,0, - 0,0,218,7,99,111,109,112,105,108,101,41,4,114,104,0, - 0,0,114,56,0,0,0,114,37,0,0,0,114,200,0,0, + 0,0,0,218,15,95,99,97,99,104,101,95,98,121,116,101, + 99,111,100,101,194,2,0,0,115,2,0,0,0,0,8,122, + 28,83,111,117,114,99,101,76,111,97,100,101,114,46,95,99, + 97,99,104,101,95,98,121,116,101,99,111,100,101,99,3,0, + 0,0,0,0,0,0,3,0,0,0,1,0,0,0,67,0, + 0,0,115,4,0,0,0,100,1,83,0,41,2,122,150,79, + 112,116,105,111,110,97,108,32,109,101,116,104,111,100,32,119, + 104,105,99,104,32,119,114,105,116,101,115,32,100,97,116,97, + 32,40,98,121,116,101,115,41,32,116,111,32,97,32,102,105, + 108,101,32,112,97,116,104,32,40,97,32,115,116,114,41,46, + 10,10,32,32,32,32,32,32,32,32,73,109,112,108,101,109, + 101,110,116,105,110,103,32,116,104,105,115,32,109,101,116,104, + 111,100,32,97,108,108,111,119,115,32,102,111,114,32,116,104, + 101,32,119,114,105,116,105,110,103,32,111,102,32,98,121,116, + 101,99,111,100,101,32,102,105,108,101,115,46,10,32,32,32, + 32,32,32,32,32,78,114,4,0,0,0,41,3,114,104,0, + 0,0,114,37,0,0,0,114,56,0,0,0,114,4,0,0, + 0,114,4,0,0,0,114,6,0,0,0,114,195,0,0,0, + 204,2,0,0,115,0,0,0,0,122,21,83,111,117,114,99, + 101,76,111,97,100,101,114,46,115,101,116,95,100,97,116,97, + 99,2,0,0,0,0,0,0,0,5,0,0,0,16,0,0, + 0,67,0,0,0,115,82,0,0,0,124,0,106,0,124,1, + 131,1,125,2,121,14,124,0,106,1,124,2,131,1,125,3, + 87,0,110,48,4,0,116,2,107,10,114,72,1,0,125,4, + 1,0,122,20,116,3,100,1,124,1,100,2,141,2,124,4, + 130,2,87,0,89,0,100,3,100,3,125,4,126,4,88,0, + 110,2,88,0,116,4,124,3,131,1,83,0,41,4,122,52, + 67,111,110,99,114,101,116,101,32,105,109,112,108,101,109,101, + 110,116,97,116,105,111,110,32,111,102,32,73,110,115,112,101, + 99,116,76,111,97,100,101,114,46,103,101,116,95,115,111,117, + 114,99,101,46,122,39,115,111,117,114,99,101,32,110,111,116, + 32,97,118,97,105,108,97,98,108,101,32,116,104,114,111,117, + 103,104,32,103,101,116,95,100,97,116,97,40,41,41,1,114, + 102,0,0,0,78,41,5,114,155,0,0,0,218,8,103,101, + 116,95,100,97,116,97,114,42,0,0,0,114,103,0,0,0, + 114,153,0,0,0,41,5,114,104,0,0,0,114,123,0,0, + 0,114,37,0,0,0,114,151,0,0,0,218,3,101,120,99, + 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, + 10,103,101,116,95,115,111,117,114,99,101,211,2,0,0,115, + 14,0,0,0,0,2,10,1,2,1,14,1,16,1,4,1, + 28,1,122,23,83,111,117,114,99,101,76,111,97,100,101,114, + 46,103,101,116,95,115,111,117,114,99,101,114,31,0,0,0, + 41,1,218,9,95,111,112,116,105,109,105,122,101,99,3,0, + 0,0,1,0,0,0,4,0,0,0,8,0,0,0,67,0, + 0,0,115,22,0,0,0,116,0,106,1,116,2,124,1,124, + 2,100,1,100,2,124,3,100,3,141,6,83,0,41,4,122, + 130,82,101,116,117,114,110,32,116,104,101,32,99,111,100,101, + 32,111,98,106,101,99,116,32,99,111,109,112,105,108,101,100, + 32,102,114,111,109,32,115,111,117,114,99,101,46,10,10,32, + 32,32,32,32,32,32,32,84,104,101,32,39,100,97,116,97, + 39,32,97,114,103,117,109,101,110,116,32,99,97,110,32,98, + 101,32,97,110,121,32,111,98,106,101,99,116,32,116,121,112, + 101,32,116,104,97,116,32,99,111,109,112,105,108,101,40,41, + 32,115,117,112,112,111,114,116,115,46,10,32,32,32,32,32, + 32,32,32,114,186,0,0,0,84,41,2,218,12,100,111,110, + 116,95,105,110,104,101,114,105,116,114,72,0,0,0,41,3, + 114,118,0,0,0,114,185,0,0,0,218,7,99,111,109,112, + 105,108,101,41,4,114,104,0,0,0,114,56,0,0,0,114, + 37,0,0,0,114,200,0,0,0,114,4,0,0,0,114,4, + 0,0,0,114,6,0,0,0,218,14,115,111,117,114,99,101, + 95,116,111,95,99,111,100,101,221,2,0,0,115,4,0,0, + 0,0,5,12,1,122,27,83,111,117,114,99,101,76,111,97, + 100,101,114,46,115,111,117,114,99,101,95,116,111,95,99,111, + 100,101,99,2,0,0,0,0,0,0,0,10,0,0,0,43, + 0,0,0,67,0,0,0,115,94,1,0,0,124,0,106,0, + 124,1,131,1,125,2,100,1,125,3,121,12,116,1,124,2, + 131,1,125,4,87,0,110,24,4,0,116,2,107,10,114,50, + 1,0,1,0,1,0,100,1,125,4,89,0,110,162,88,0, + 121,14,124,0,106,3,124,2,131,1,125,5,87,0,110,20, + 4,0,116,4,107,10,114,86,1,0,1,0,1,0,89,0, + 110,126,88,0,116,5,124,5,100,2,25,0,131,1,125,3, + 121,14,124,0,106,6,124,4,131,1,125,6,87,0,110,20, + 4,0,116,7,107,10,114,134,1,0,1,0,1,0,89,0, + 110,78,88,0,121,20,116,8,124,6,124,5,124,1,124,4, + 100,3,141,4,125,7,87,0,110,24,4,0,116,9,116,10, + 102,2,107,10,114,180,1,0,1,0,1,0,89,0,110,32, + 88,0,116,11,106,12,100,4,124,4,124,2,131,3,1,0, + 116,13,124,7,124,1,124,4,124,2,100,5,141,4,83,0, + 124,0,106,6,124,2,131,1,125,8,124,0,106,14,124,8, + 124,2,131,2,125,9,116,11,106,12,100,6,124,2,131,2, + 1,0,116,15,106,16,12,0,144,1,114,90,124,4,100,1, + 107,9,144,1,114,90,124,3,100,1,107,9,144,1,114,90, + 116,17,124,9,124,3,116,18,124,8,131,1,131,3,125,6, + 121,30,124,0,106,19,124,2,124,4,124,6,131,3,1,0, + 116,11,106,12,100,7,124,4,131,2,1,0,87,0,110,22, + 4,0,116,2,107,10,144,1,114,88,1,0,1,0,1,0, + 89,0,110,2,88,0,124,9,83,0,41,8,122,190,67,111, + 110,99,114,101,116,101,32,105,109,112,108,101,109,101,110,116, + 97,116,105,111,110,32,111,102,32,73,110,115,112,101,99,116, + 76,111,97,100,101,114,46,103,101,116,95,99,111,100,101,46, + 10,10,32,32,32,32,32,32,32,32,82,101,97,100,105,110, + 103,32,111,102,32,98,121,116,101,99,111,100,101,32,114,101, + 113,117,105,114,101,115,32,112,97,116,104,95,115,116,97,116, + 115,32,116,111,32,98,101,32,105,109,112,108,101,109,101,110, + 116,101,100,46,32,84,111,32,119,114,105,116,101,10,32,32, + 32,32,32,32,32,32,98,121,116,101,99,111,100,101,44,32, + 115,101,116,95,100,97,116,97,32,109,117,115,116,32,97,108, + 115,111,32,98,101,32,105,109,112,108,101,109,101,110,116,101, + 100,46,10,10,32,32,32,32,32,32,32,32,78,114,130,0, + 0,0,41,3,114,136,0,0,0,114,102,0,0,0,114,37, + 0,0,0,122,13,123,125,32,109,97,116,99,104,101,115,32, + 123,125,41,3,114,102,0,0,0,114,93,0,0,0,114,94, + 0,0,0,122,19,99,111,100,101,32,111,98,106,101,99,116, + 32,102,114,111,109,32,123,125,122,10,119,114,111,116,101,32, + 123,33,114,125,41,20,114,155,0,0,0,114,83,0,0,0, + 114,70,0,0,0,114,194,0,0,0,114,192,0,0,0,114, + 16,0,0,0,114,197,0,0,0,114,42,0,0,0,114,139, + 0,0,0,114,103,0,0,0,114,134,0,0,0,114,118,0, + 0,0,114,133,0,0,0,114,145,0,0,0,114,203,0,0, + 0,114,8,0,0,0,218,19,100,111,110,116,95,119,114,105, + 116,101,95,98,121,116,101,99,111,100,101,114,148,0,0,0, + 114,33,0,0,0,114,196,0,0,0,41,10,114,104,0,0, + 0,114,123,0,0,0,114,94,0,0,0,114,137,0,0,0, + 114,93,0,0,0,218,2,115,116,114,56,0,0,0,218,10, + 98,121,116,101,115,95,100,97,116,97,114,151,0,0,0,90, + 11,99,111,100,101,95,111,98,106,101,99,116,114,4,0,0, + 0,114,4,0,0,0,114,6,0,0,0,114,184,0,0,0, + 229,2,0,0,115,78,0,0,0,0,7,10,1,4,1,2, + 1,12,1,14,1,10,2,2,1,14,1,14,1,6,2,12, + 1,2,1,14,1,14,1,6,2,2,1,4,1,4,1,12, + 1,18,1,6,2,8,1,6,1,6,1,2,1,8,1,10, + 1,12,1,12,1,20,1,10,1,6,1,10,1,2,1,14, + 1,16,1,16,1,6,1,122,21,83,111,117,114,99,101,76, + 111,97,100,101,114,46,103,101,116,95,99,111,100,101,78,114, + 91,0,0,0,41,10,114,109,0,0,0,114,108,0,0,0, + 114,110,0,0,0,114,193,0,0,0,114,194,0,0,0,114, + 196,0,0,0,114,195,0,0,0,114,199,0,0,0,114,203, + 0,0,0,114,184,0,0,0,114,4,0,0,0,114,4,0, + 0,0,114,4,0,0,0,114,6,0,0,0,114,191,0,0, + 0,171,2,0,0,115,14,0,0,0,8,2,8,8,8,13, + 8,10,8,7,8,10,14,8,114,191,0,0,0,99,0,0, + 0,0,0,0,0,0,0,0,0,0,4,0,0,0,0,0, + 0,0,115,80,0,0,0,101,0,90,1,100,0,90,2,100, + 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111,32,116,104,101,32,102,105,108,101,32,102,111,117,110,100, + 32,98,121,32,116,104,101,10,32,32,32,32,32,32,32,32, + 102,105,110,100,101,114,46,78,41,2,114,102,0,0,0,114, + 37,0,0,0,41,3,114,104,0,0,0,114,123,0,0,0, + 114,37,0,0,0,114,4,0,0,0,114,4,0,0,0,114, + 6,0,0,0,114,182,0,0,0,30,3,0,0,115,4,0, + 0,0,0,3,6,1,122,19,70,105,108,101,76,111,97,100, + 101,114,46,95,95,105,110,105,116,95,95,99,2,0,0,0, + 0,0,0,0,2,0,0,0,2,0,0,0,67,0,0,0, + 115,24,0,0,0,124,0,106,0,124,1,106,0,107,2,111, + 22,124,0,106,1,124,1,106,1,107,2,83,0,41,1,78, + 41,2,218,9,95,95,99,108,97,115,115,95,95,114,115,0, + 0,0,41,2,114,104,0,0,0,218,5,111,116,104,101,114, + 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, + 6,95,95,101,113,95,95,36,3,0,0,115,4,0,0,0, + 0,1,12,1,122,17,70,105,108,101,76,111,97,100,101,114, + 46,95,95,101,113,95,95,99,1,0,0,0,0,0,0,0, + 1,0,0,0,3,0,0,0,67,0,0,0,115,20,0,0, + 0,116,0,124,0,106,1,131,1,116,0,124,0,106,2,131, + 1,65,0,83,0,41,1,78,41,3,218,4,104,97,115,104, + 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100,117,108,101,32,110,97,109,101,32,97,110,100,32,116,104, - 101,32,112,97,116,104,32,116,111,32,116,104,101,32,102,105, - 108,101,32,102,111,117,110,100,32,98,121,32,116,104,101,10, - 32,32,32,32,32,32,32,32,102,105,110,100,101,114,46,78, - 41,2,114,102,0,0,0,114,37,0,0,0,41,3,114,104, - 0,0,0,114,123,0,0,0,114,37,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,6,0,0,0,114,182,0,0, - 0,30,3,0,0,115,4,0,0,0,0,3,6,1,122,19, - 70,105,108,101,76,111,97,100,101,114,46,95,95,105,110,105, - 116,95,95,99,2,0,0,0,0,0,0,0,2,0,0,0, - 2,0,0,0,67,0,0,0,115,24,0,0,0,124,0,106, - 0,124,1,106,0,107,2,111,22,124,0,106,1,124,1,106, - 1,107,2,83,0,41,1,78,41,2,218,9,95,95,99,108, - 97,115,115,95,95,114,115,0,0,0,41,2,114,104,0,0, - 0,218,5,111,116,104,101,114,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,218,6,95,95,101,113,95,95,36, - 3,0,0,115,4,0,0,0,0,1,12,1,122,17,70,105, - 108,101,76,111,97,100,101,114,46,95,95,101,113,95,95,99, - 1,0,0,0,0,0,0,0,1,0,0,0,3,0,0,0, - 67,0,0,0,115,20,0,0,0,116,0,124,0,106,1,131, - 1,116,0,124,0,106,2,131,1,65,0,83,0,41,1,78, - 41,3,218,4,104,97,115,104,114,102,0,0,0,114,37,0, - 0,0,41,1,114,104,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,218,8,95,95,104,97,115,104, - 95,95,40,3,0,0,115,2,0,0,0,0,1,122,19,70, - 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, - 0,0,0,3,0,0,0,115,16,0,0,0,116,0,116,1, - 124,0,131,2,106,2,124,1,131,1,83,0,41,1,122,100, - 76,111,97,100,32,97,32,109,111,100,117,108,101,32,102,114, - 111,109,32,97,32,102,105,108,101,46,10,10,32,32,32,32, - 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, - 32,32,32,32,41,3,218,5,115,117,112,101,114,114,207,0, - 0,0,114,190,0,0,0,41,2,114,104,0,0,0,114,123, - 0,0,0,41,1,114,208,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,190,0,0,0,43,3,0,0,115,2,0, - 0,0,0,10,122,22,70,105,108,101,76,111,97,100,101,114, - 46,108,111,97,100,95,109,111,100,117,108,101,99,2,0,0, - 0,0,0,0,0,2,0,0,0,1,0,0,0,67,0,0, - 0,115,6,0,0,0,124,0,106,0,83,0,41,1,122,58, - 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, - 104,101,32,102,105,110,100,101,114,46,41,1,114,37,0,0, - 0,41,2,114,104,0,0,0,114,123,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,6,0,0,0,114,155,0,0, - 0,55,3,0,0,115,2,0,0,0,0,3,122,23,70,105, - 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, - 0,0,9,0,0,0,67,0,0,0,115,32,0,0,0,116, - 0,106,1,124,1,100,1,131,2,143,10,125,2,124,2,106, - 2,131,0,83,0,81,0,82,0,88,0,100,2,83,0,41, - 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, - 114,52,0,0,0,114,53,0,0,0,90,4,114,101,97,100, - 41,3,114,104,0,0,0,114,37,0,0,0,114,57,0,0, - 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 114,197,0,0,0,60,3,0,0,115,4,0,0,0,0,2, - 14,1,122,19,70,105,108,101,76,111,97,100,101,114,46,103, - 101,116,95,100,97,116,97,78,41,12,114,109,0,0,0,114, - 108,0,0,0,114,110,0,0,0,114,111,0,0,0,114,182, - 0,0,0,114,210,0,0,0,114,212,0,0,0,114,120,0, - 0,0,114,190,0,0,0,114,155,0,0,0,114,197,0,0, - 0,90,13,95,95,99,108,97,115,115,99,101,108,108,95,95, - 114,4,0,0,0,114,4,0,0,0,41,1,114,208,0,0, - 0,114,6,0,0,0,114,207,0,0,0,25,3,0,0,115, - 14,0,0,0,8,3,4,2,8,6,8,4,8,3,16,12, - 12,5,114,207,0,0,0,99,0,0,0,0,0,0,0,0, - 0,0,0,0,3,0,0,0,64,0,0,0,115,46,0,0, - 0,101,0,90,1,100,0,90,2,100,1,90,3,100,2,100, - 3,132,0,90,4,100,4,100,5,132,0,90,5,100,6,100, - 7,156,1,100,8,100,9,132,2,90,6,100,10,83,0,41, - 11,218,16,83,111,117,114,99,101,70,105,108,101,76,111,97, - 100,101,114,122,62,67,111,110,99,114,101,116,101,32,105,109, - 112,108,101,109,101,110,116,97,116,105,111,110,32,111,102,32, - 83,111,117,114,99,101,76,111,97,100,101,114,32,117,115,105, - 110,103,32,116,104,101,32,102,105,108,101,32,115,121,115,116, - 101,109,46,99,2,0,0,0,0,0,0,0,3,0,0,0, - 3,0,0,0,67,0,0,0,115,22,0,0,0,116,0,124, - 1,131,1,125,2,124,2,106,1,124,2,106,2,100,1,156, - 2,83,0,41,2,122,33,82,101,116,117,114,110,32,116,104, - 101,32,109,101,116,97,100,97,116,97,32,102,111,114,32,116, - 104,101,32,112,97,116,104,46,41,2,122,5,109,116,105,109, - 101,122,4,115,105,122,101,41,3,114,41,0,0,0,218,8, - 115,116,95,109,116,105,109,101,90,7,115,116,95,115,105,122, - 101,41,3,114,104,0,0,0,114,37,0,0,0,114,205,0, - 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,194,0,0,0,70,3,0,0,115,4,0,0,0,0, - 2,8,1,122,27,83,111,117,114,99,101,70,105,108,101,76, - 111,97,100,101,114,46,112,97,116,104,95,115,116,97,116,115, - 99,4,0,0,0,0,0,0,0,5,0,0,0,5,0,0, - 0,67,0,0,0,115,24,0,0,0,116,0,124,1,131,1, - 125,4,124,0,106,1,124,2,124,3,124,4,100,1,141,3, - 83,0,41,2,78,41,1,218,5,95,109,111,100,101,41,2, - 114,101,0,0,0,114,195,0,0,0,41,5,114,104,0,0, - 0,114,94,0,0,0,114,93,0,0,0,114,56,0,0,0, - 114,44,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,196,0,0,0,75,3,0,0,115,4,0, - 0,0,0,2,8,1,122,32,83,111,117,114,99,101,70,105, - 108,101,76,111,97,100,101,114,46,95,99,97,99,104,101,95, - 98,121,116,101,99,111,100,101,105,182,1,0,0,41,1,114, - 217,0,0,0,99,3,0,0,0,1,0,0,0,9,0,0, - 0,17,0,0,0,67,0,0,0,115,250,0,0,0,116,0, - 124,1,131,1,92,2,125,4,125,5,103,0,125,6,120,40, - 124,4,114,56,116,1,124,4,131,1,12,0,114,56,116,0, - 124,4,131,1,92,2,125,4,125,7,124,6,106,2,124,7, - 131,1,1,0,113,18,87,0,120,108,116,3,124,6,131,1, - 68,0,93,96,125,7,116,4,124,4,124,7,131,2,125,4, - 121,14,116,5,106,6,124,4,131,1,1,0,87,0,113,68, - 4,0,116,7,107,10,114,118,1,0,1,0,1,0,119,68, - 89,0,113,68,4,0,116,8,107,10,114,162,1,0,125,8, - 1,0,122,18,116,9,106,10,100,1,124,4,124,8,131,3, - 1,0,100,2,83,0,100,2,125,8,126,8,88,0,113,68, - 88,0,113,68,87,0,121,28,116,11,124,1,124,2,124,3, - 131,3,1,0,116,9,106,10,100,3,124,1,131,2,1,0, - 87,0,110,48,4,0,116,8,107,10,114,244,1,0,125,8, - 1,0,122,20,116,9,106,10,100,1,124,1,124,8,131,3, - 1,0,87,0,89,0,100,2,100,2,125,8,126,8,88,0, - 110,2,88,0,100,2,83,0,41,4,122,27,87,114,105,116, - 101,32,98,121,116,101,115,32,100,97,116,97,32,116,111,32, - 97,32,102,105,108,101,46,122,27,99,111,117,108,100,32,110, - 111,116,32,99,114,101,97,116,101,32,123,33,114,125,58,32, - 123,33,114,125,78,122,12,99,114,101,97,116,101,100,32,123, - 33,114,125,41,12,114,40,0,0,0,114,48,0,0,0,114, - 161,0,0,0,114,35,0,0,0,114,30,0,0,0,114,3, - 0,0,0,90,5,109,107,100,105,114,218,15,70,105,108,101, - 69,120,105,115,116,115,69,114,114,111,114,114,42,0,0,0, - 114,118,0,0,0,114,133,0,0,0,114,58,0,0,0,41, - 9,114,104,0,0,0,114,37,0,0,0,114,56,0,0,0, - 114,217,0,0,0,218,6,112,97,114,101,110,116,114,98,0, - 0,0,114,29,0,0,0,114,25,0,0,0,114,198,0,0, - 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 114,195,0,0,0,80,3,0,0,115,42,0,0,0,0,2, - 12,1,4,2,16,1,12,1,14,2,14,1,10,1,2,1, - 14,1,14,2,6,1,16,3,6,1,8,1,20,1,2,1, - 12,1,16,1,16,2,8,1,122,25,83,111,117,114,99,101, - 70,105,108,101,76,111,97,100,101,114,46,115,101,116,95,100, - 97,116,97,78,41,7,114,109,0,0,0,114,108,0,0,0, - 114,110,0,0,0,114,111,0,0,0,114,194,0,0,0,114, - 196,0,0,0,114,195,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,215,0, - 0,0,66,3,0,0,115,8,0,0,0,8,2,4,2,8, - 5,8,5,114,215,0,0,0,99,0,0,0,0,0,0,0, - 0,0,0,0,0,2,0,0,0,64,0,0,0,115,32,0, - 0,0,101,0,90,1,100,0,90,2,100,1,90,3,100,2, - 100,3,132,0,90,4,100,4,100,5,132,0,90,5,100,6, - 83,0,41,7,218,20,83,111,117,114,99,101,108,101,115,115, - 70,105,108,101,76,111,97,100,101,114,122,45,76,111,97,100, - 101,114,32,119,104,105,99,104,32,104,97,110,100,108,101,115, - 32,115,111,117,114,99,101,108,101,115,115,32,102,105,108,101, - 32,105,109,112,111,114,116,115,46,99,2,0,0,0,0,0, - 0,0,5,0,0,0,5,0,0,0,67,0,0,0,115,48, - 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101,110,115,105,111,110,70,105,108,101,76,111,97,100,101,114, - 46,103,101,116,95,102,105,108,101,110,97,109,101,78,41,14, - 114,109,0,0,0,114,108,0,0,0,114,110,0,0,0,114, - 111,0,0,0,114,182,0,0,0,114,210,0,0,0,114,212, - 0,0,0,114,183,0,0,0,114,188,0,0,0,114,157,0, - 0,0,114,184,0,0,0,114,199,0,0,0,114,120,0,0, - 0,114,155,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,221,0,0,0,130, - 3,0,0,115,20,0,0,0,8,6,4,2,8,4,8,4, - 8,3,8,8,8,6,8,6,8,4,8,4,114,221,0,0, - 0,99,0,0,0,0,0,0,0,0,0,0,0,0,2,0, - 0,0,64,0,0,0,115,96,0,0,0,101,0,90,1,100, - 0,90,2,100,1,90,3,100,2,100,3,132,0,90,4,100, - 4,100,5,132,0,90,5,100,6,100,7,132,0,90,6,100, - 8,100,9,132,0,90,7,100,10,100,11,132,0,90,8,100, - 12,100,13,132,0,90,9,100,14,100,15,132,0,90,10,100, - 16,100,17,132,0,90,11,100,18,100,19,132,0,90,12,100, - 20,100,21,132,0,90,13,100,22,83,0,41,23,218,14,95, - 78,97,109,101,115,112,97,99,101,80,97,116,104,97,38,1, - 0,0,82,101,112,114,101,115,101,110,116,115,32,97,32,110, - 97,109,101,115,112,97,99,101,32,112,97,99,107,97,103,101, - 39,115,32,112,97,116,104,46,32,32,73,116,32,117,115,101, - 115,32,116,104,101,32,109,111,100,117,108,101,32,110,97,109, - 101,10,32,32,32,32,116,111,32,102,105,110,100,32,105,116, - 115,32,112,97,114,101,110,116,32,109,111,100,117,108,101,44, - 32,97,110,100,32,102,114,111,109,32,116,104,101,114,101,32, - 105,116,32,108,111,111,107,115,32,117,112,32,116,104,101,32, - 112,97,114,101,110,116,39,115,10,32,32,32,32,95,95,112, - 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, - 0,4,0,0,0,2,0,0,0,67,0,0,0,115,36,0, - 0,0,124,1,124,0,95,0,124,2,124,0,95,1,116,2, - 124,0,106,3,131,0,131,1,124,0,95,4,124,3,124,0, - 95,5,100,0,83,0,41,1,78,41,6,218,5,95,110,97, - 109,101,218,5,95,112,97,116,104,114,97,0,0,0,218,16, - 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, - 114,41,4,114,104,0,0,0,114,102,0,0,0,114,37,0, - 0,0,218,11,112,97,116,104,95,102,105,110,100,101,114,114, - 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,182, - 0,0,0,190,3,0,0,115,8,0,0,0,0,1,6,1, - 6,1,14,1,122,23,95,78,97,109,101,115,112,97,99,101, - 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, - 0,0,115,38,0,0,0,124,0,106,0,106,1,100,1,131, - 1,92,3,125,1,125,2,125,3,124,2,100,2,107,2,114, - 30,100,6,83,0,124,1,100,5,102,2,83,0,41,7,122, - 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, - 61,0,0,0,114,32,0,0,0,114,8,0,0,0,114,37, - 0,0,0,90,8,95,95,112,97,116,104,95,95,41,2,122, - 3,115,121,115,122,4,112,97,116,104,41,2,114,228,0,0, - 0,114,34,0,0,0,41,4,114,104,0,0,0,114,219,0, - 0,0,218,3,100,111,116,90,2,109,101,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,218,23,95,102,105,110, - 100,95,112,97,114,101,110,116,95,112,97,116,104,95,110,97, - 109,101,115,196,3,0,0,115,8,0,0,0,0,2,18,1, - 8,2,4,3,122,38,95,78,97,109,101,115,112,97,99,101, - 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, - 0,115,28,0,0,0,124,0,106,0,131,0,92,2,125,1, - 125,2,116,1,116,2,106,3,124,1,25,0,124,2,131,2, - 83,0,41,1,78,41,4,114,235,0,0,0,114,114,0,0, - 0,114,8,0,0,0,218,7,109,111,100,117,108,101,115,41, - 3,114,104,0,0,0,90,18,112,97,114,101,110,116,95,109, - 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, - 4,0,0,0,114,6,0,0,0,114,230,0,0,0,206,3, - 0,0,115,4,0,0,0,0,1,12,1,122,31,95,78,97, - 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, - 0,115,80,0,0,0,116,0,124,0,106,1,131,0,131,1, - 125,1,124,1,124,0,106,2,107,3,114,74,124,0,106,3, - 124,0,106,4,124,1,131,2,125,2,124,2,100,0,107,9, - 114,68,124,2,106,5,100,0,107,8,114,68,124,2,106,6, - 114,68,124,2,106,6,124,0,95,7,124,1,124,0,95,2, - 124,0,106,7,83,0,41,1,78,41,8,114,97,0,0,0, - 114,230,0,0,0,114,231,0,0,0,114,232,0,0,0,114, - 228,0,0,0,114,124,0,0,0,114,154,0,0,0,114,229, - 0,0,0,41,3,114,104,0,0,0,90,11,112,97,114,101, - 110,116,95,112,97,116,104,114,162,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,218,12,95,114,101, - 99,97,108,99,117,108,97,116,101,210,3,0,0,115,16,0, - 0,0,0,2,12,1,10,1,14,3,18,1,6,1,8,1, - 6,1,122,27,95,78,97,109,101,115,112,97,99,101,80,97, - 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, - 67,0,0,0,115,12,0,0,0,116,0,124,0,106,1,131, - 0,131,1,83,0,41,1,78,41,2,218,4,105,116,101,114, - 114,237,0,0,0,41,1,114,104,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,218,8,95,95,105, - 116,101,114,95,95,223,3,0,0,115,2,0,0,0,0,1, - 122,23,95,78,97,109,101,115,112,97,99,101,80,97,116,104, - 46,95,95,105,116,101,114,95,95,99,3,0,0,0,0,0, - 0,0,3,0,0,0,3,0,0,0,67,0,0,0,115,14, - 0,0,0,124,2,124,0,106,0,124,1,60,0,100,0,83, - 0,41,1,78,41,1,114,229,0,0,0,41,3,114,104,0, - 0,0,218,5,105,110,100,101,120,114,37,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,218,11,95, - 95,115,101,116,105,116,101,109,95,95,226,3,0,0,115,2, - 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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, - 41,12,114,109,0,0,0,114,108,0,0,0,114,110,0,0, - 0,114,182,0,0,0,114,180,0,0,0,114,247,0,0,0, - 114,157,0,0,0,114,199,0,0,0,114,184,0,0,0,114, - 183,0,0,0,114,188,0,0,0,114,190,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,114,246,0,0,0,243,3,0,0,115,16,0,0,0, - 8,1,8,3,12,9,8,3,8,3,8,3,8,3,8,3, - 114,246,0,0,0,99,0,0,0,0,0,0,0,0,0,0, - 0,0,4,0,0,0,64,0,0,0,115,106,0,0,0,101, - 0,90,1,100,0,90,2,100,1,90,3,101,4,100,2,100, - 3,132,0,131,1,90,5,101,4,100,4,100,5,132,0,131, - 1,90,6,101,4,100,6,100,7,132,0,131,1,90,7,101, - 4,100,8,100,9,132,0,131,1,90,8,101,4,100,17,100, - 11,100,12,132,1,131,1,90,9,101,4,100,18,100,13,100, - 14,132,1,131,1,90,10,101,4,100,19,100,15,100,16,132, - 1,131,1,90,11,100,10,83,0,41,20,218,10,80,97,116, - 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, - 2,0,0,0,4,0,0,0,67,0,0,0,115,42,0,0, - 0,120,36,116,0,106,1,106,2,131,0,68,0,93,22,125, - 1,116,3,124,1,100,1,131,2,114,12,124,1,106,4,131, - 0,1,0,113,12,87,0,100,2,83,0,41,3,122,125,67, - 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, - 41,5,114,8,0,0,0,218,19,112,97,116,104,95,105,109, - 112,111,114,116,101,114,95,99,97,99,104,101,218,6,118,97, - 108,117,101,115,114,112,0,0,0,114,249,0,0,0,41,2, - 114,168,0,0,0,218,6,102,105,110,100,101,114,114,4,0, - 0,0,114,4,0,0,0,114,6,0,0,0,114,249,0,0, - 0,33,4,0,0,115,6,0,0,0,0,4,16,1,10,1, - 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, - 0,0,0,115,86,0,0,0,116,0,106,1,100,1,107,9, - 114,30,116,0,106,1,12,0,114,30,116,2,106,3,100,2, - 116,4,131,2,1,0,120,50,116,0,106,1,68,0,93,36, - 125,2,121,8,124,2,124,1,131,1,83,0,4,0,116,5, - 107,10,114,72,1,0,1,0,1,0,119,38,89,0,113,38, - 88,0,113,38,87,0,100,1,83,0,100,1,83,0,41,3, - 122,46,83,101,97,114,99,104,32,115,121,115,46,112,97,116, - 104,95,104,111,111,107,115,32,102,111,114,32,97,32,102,105, - 110,100,101,114,32,102,111,114,32,39,112,97,116,104,39,46, - 78,122,23,115,121,115,46,112,97,116,104,95,104,111,111,107, - 115,32,105,115,32,101,109,112,116,121,41,6,114,8,0,0, - 0,218,10,112,97,116,104,95,104,111,111,107,115,114,63,0, - 0,0,114,64,0,0,0,114,122,0,0,0,114,103,0,0, - 0,41,3,114,168,0,0,0,114,37,0,0,0,90,4,104, - 111,111,107,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,11,95,112,97,116,104,95,104,111,111,107,115,41, - 4,0,0,115,16,0,0,0,0,3,18,1,12,1,12,1, - 2,1,8,1,14,1,12,2,122,22,80,97,116,104,70,105, - 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, - 0,67,0,0,0,115,102,0,0,0,124,1,100,1,107,2, - 114,42,121,12,116,0,106,1,131,0,125,1,87,0,110,20, - 4,0,116,2,107,10,114,40,1,0,1,0,1,0,100,2, - 83,0,88,0,121,14,116,3,106,4,124,1,25,0,125,2, - 87,0,110,40,4,0,116,5,107,10,114,96,1,0,1,0, - 1,0,124,0,106,6,124,1,131,1,125,2,124,2,116,3, - 106,4,124,1,60,0,89,0,110,2,88,0,124,2,83,0, - 41,3,122,210,71,101,116,32,116,104,101,32,102,105,110,100, - 101,114,32,102,111,114,32,116,104,101,32,112,97,116,104,32, - 101,110,116,114,121,32,102,114,111,109,32,115,121,115,46,112, - 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30,4,0,116,4,116,5,116,6,102,3,107,10,114,58,1, - 0,1,0,1,0,103,0,125,2,89,0,110,2,88,0,116, - 7,106,8,106,9,100,1,131,1,115,84,116,10,124,2,131, - 1,124,0,95,11,110,78,116,10,131,0,125,3,120,64,124, - 2,68,0,93,56,125,4,124,4,106,12,100,2,131,1,92, - 3,125,5,125,6,125,7,124,6,114,138,100,3,106,13,124, - 5,124,7,106,14,131,0,131,2,125,8,110,4,124,5,125, - 8,124,3,106,15,124,8,131,1,1,0,113,96,87,0,124, - 3,124,0,95,11,116,7,106,8,106,9,116,16,131,1,114, - 190,100,4,100,5,132,0,124,2,68,0,131,1,124,0,95, - 17,100,6,83,0,41,7,122,68,70,105,108,108,32,116,104, - 101,32,99,97,99,104,101,32,111,102,32,112,111,116,101,110, - 116,105,97,108,32,109,111,100,117,108,101,115,32,97,110,100, - 32,112,97,99,107,97,103,101,115,32,102,111,114,32,116,104, - 105,115,32,100,105,114,101,99,116,111,114,121,46,114,0,0, - 0,0,114,61,0,0,0,122,5,123,125,46,123,125,99,1, - 0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,83, - 0,0,0,115,20,0,0,0,104,0,124,0,93,12,125,1, - 124,1,106,0,131,0,146,2,113,4,83,0,114,4,0,0, - 0,41,1,114,92,0,0,0,41,2,114,24,0,0,0,90, - 2,102,110,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,250,9,60,115,101,116,99,111,109,112,62,28,5,0, - 0,115,2,0,0,0,6,0,122,41,70,105,108,101,70,105, - 110,100,101,114,46,95,102,105,108,108,95,99,97,99,104,101, - 46,60,108,111,99,97,108,115,62,46,60,115,101,116,99,111, - 109,112,62,78,41,18,114,37,0,0,0,114,3,0,0,0, - 90,7,108,105,115,116,100,105,114,114,47,0,0,0,114,255, - 0,0,0,218,15,80,101,114,109,105,115,115,105,111,110,69, - 114,114,111,114,218,18,78,111,116,65,68,105,114,101,99,116, - 111,114,121,69,114,114,111,114,114,8,0,0,0,114,9,0, - 0,0,114,10,0,0,0,114,8,1,0,0,114,9,1,0, - 0,114,87,0,0,0,114,50,0,0,0,114,92,0,0,0, - 218,3,97,100,100,114,11,0,0,0,114,10,1,0,0,41, - 9,114,104,0,0,0,114,37,0,0,0,90,8,99,111,110, - 116,101,110,116,115,90,21,108,111,119,101,114,95,115,117,102, - 102,105,120,95,99,111,110,116,101,110,116,115,114,244,0,0, - 0,114,102,0,0,0,114,234,0,0,0,114,222,0,0,0, - 90,8,110,101,119,95,110,97,109,101,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,12,1,0,0,255,4, - 0,0,115,34,0,0,0,0,2,6,1,2,1,22,1,20, - 3,10,3,12,1,12,7,6,1,10,1,16,1,4,1,18, - 2,4,1,14,1,6,1,12,1,122,22,70,105,108,101,70, - 105,110,100,101,114,46,95,102,105,108,108,95,99,97,99,104, - 101,99,1,0,0,0,0,0,0,0,3,0,0,0,3,0, - 0,0,7,0,0,0,115,18,0,0,0,135,0,135,1,102, - 2,100,1,100,2,132,8,125,2,124,2,83,0,41,3,97, - 20,1,0,0,65,32,99,108,97,115,115,32,109,101,116,104, - 111,100,32,119,104,105,99,104,32,114,101,116,117,114,110,115, - 32,97,32,99,108,111,115,117,114,101,32,116,111,32,117,115, - 101,32,111,110,32,115,121,115,46,112,97,116,104,95,104,111, - 111,107,10,32,32,32,32,32,32,32,32,119,104,105,99,104, - 32,119,105,108,108,32,114,101,116,117,114,110,32,97,110,32, - 105,110,115,116,97,110,99,101,32,117,115,105,110,103,32,116, - 104,101,32,115,112,101,99,105,102,105,101,100,32,108,111,97, - 100,101,114,115,32,97,110,100,32,116,104,101,32,112,97,116, - 104,10,32,32,32,32,32,32,32,32,99,97,108,108,101,100, - 32,111,110,32,116,104,101,32,99,108,111,115,117,114,101,46, - 10,10,32,32,32,32,32,32,32,32,73,102,32,116,104,101, - 32,112,97,116,104,32,99,97,108,108,101,100,32,111,110,32, - 116,104,101,32,99,108,111,115,117,114,101,32,105,115,32,110, - 111,116,32,97,32,100,105,114,101,99,116,111,114,121,44,32, - 73,109,112,111,114,116,69,114,114,111,114,32,105,115,10,32, - 32,32,32,32,32,32,32,114,97,105,115,101,100,46,10,10, - 32,32,32,32,32,32,32,32,99,1,0,0,0,0,0,0, - 0,1,0,0,0,4,0,0,0,19,0,0,0,115,34,0, - 0,0,116,0,124,0,131,1,115,20,116,1,100,1,124,0, - 100,2,141,2,130,1,136,0,124,0,102,1,136,1,152,2, - 142,0,83,0,41,3,122,45,80,97,116,104,32,104,111,111, - 107,32,102,111,114,32,105,109,112,111,114,116,108,105,98,46, - 109,97,99,104,105,110,101,114,121,46,70,105,108,101,70,105, - 110,100,101,114,46,122,30,111,110,108,121,32,100,105,114,101, - 99,116,111,114,105,101,115,32,97,114,101,32,115,117,112,112, - 111,114,116,101,100,41,1,114,37,0,0,0,41,2,114,48, - 0,0,0,114,103,0,0,0,41,1,114,37,0,0,0,41, - 2,114,168,0,0,0,114,11,1,0,0,114,4,0,0,0, - 114,6,0,0,0,218,24,112,97,116,104,95,104,111,111,107, - 95,102,111,114,95,70,105,108,101,70,105,110,100,101,114,40, - 5,0,0,115,6,0,0,0,0,2,8,1,12,1,122,54, - 70,105,108,101,70,105,110,100,101,114,46,112,97,116,104,95, - 104,111,111,107,46,60,108,111,99,97,108,115,62,46,112,97, - 116,104,95,104,111,111,107,95,102,111,114,95,70,105,108,101, - 70,105,110,100,101,114,114,4,0,0,0,41,3,114,168,0, - 0,0,114,11,1,0,0,114,17,1,0,0,114,4,0,0, - 0,41,2,114,168,0,0,0,114,11,1,0,0,114,6,0, - 0,0,218,9,112,97,116,104,95,104,111,111,107,30,5,0, - 0,115,4,0,0,0,0,10,14,6,122,20,70,105,108,101, - 70,105,110,100,101,114,46,112,97,116,104,95,104,111,111,107, - 99,1,0,0,0,0,0,0,0,1,0,0,0,2,0,0, - 0,67,0,0,0,115,12,0,0,0,100,1,106,0,124,0, - 106,1,131,1,83,0,41,2,78,122,16,70,105,108,101,70, - 105,110,100,101,114,40,123,33,114,125,41,41,2,114,50,0, - 0,0,114,37,0,0,0,41,1,114,104,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,243,0, - 0,0,48,5,0,0,115,2,0,0,0,0,1,122,19,70, - 105,108,101,70,105,110,100,101,114,46,95,95,114,101,112,114, - 95,95,41,1,78,41,15,114,109,0,0,0,114,108,0,0, - 0,114,110,0,0,0,114,111,0,0,0,114,182,0,0,0, - 114,249,0,0,0,114,127,0,0,0,114,179,0,0,0,114, - 121,0,0,0,114,4,1,0,0,114,178,0,0,0,114,12, - 1,0,0,114,180,0,0,0,114,18,1,0,0,114,243,0, - 0,0,114,4,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,5,1,0,0,161,4,0,0,115, - 20,0,0,0,8,7,4,2,8,14,8,4,4,2,8,12, - 8,5,10,48,8,31,12,18,114,5,1,0,0,99,4,0, - 0,0,0,0,0,0,6,0,0,0,11,0,0,0,67,0, - 0,0,115,146,0,0,0,124,0,106,0,100,1,131,1,125, - 4,124,0,106,0,100,2,131,1,125,5,124,4,115,66,124, - 5,114,36,124,5,106,1,125,4,110,30,124,2,124,3,107, - 2,114,56,116,2,124,1,124,2,131,2,125,4,110,10,116, - 3,124,1,124,2,131,2,125,4,124,5,115,84,116,4,124, - 1,124,2,124,4,100,3,141,3,125,5,121,36,124,5,124, - 0,100,2,60,0,124,4,124,0,100,1,60,0,124,2,124, - 0,100,4,60,0,124,3,124,0,100,5,60,0,87,0,110, - 20,4,0,116,5,107,10,114,140,1,0,1,0,1,0,89, - 0,110,2,88,0,100,0,83,0,41,6,78,218,10,95,95, - 108,111,97,100,101,114,95,95,218,8,95,95,115,112,101,99, - 95,95,41,1,114,124,0,0,0,90,8,95,95,102,105,108, - 101,95,95,90,10,95,95,99,97,99,104,101,100,95,95,41, - 6,218,3,103,101,116,114,124,0,0,0,114,220,0,0,0, - 114,215,0,0,0,114,165,0,0,0,218,9,69,120,99,101, - 112,116,105,111,110,41,6,90,2,110,115,114,102,0,0,0, - 90,8,112,97,116,104,110,97,109,101,90,9,99,112,97,116, - 104,110,97,109,101,114,124,0,0,0,114,162,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,14, - 95,102,105,120,95,117,112,95,109,111,100,117,108,101,54,5, - 0,0,115,34,0,0,0,0,2,10,1,10,1,4,1,4, - 1,8,1,8,1,12,2,10,1,4,1,14,1,2,1,8, - 1,8,1,8,1,12,1,14,2,114,23,1,0,0,99,0, - 0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,67, - 0,0,0,115,38,0,0,0,116,0,116,1,106,2,131,0, - 102,2,125,0,116,3,116,4,102,2,125,1,116,5,116,6, - 102,2,125,2,124,0,124,1,124,2,103,3,83,0,41,1, - 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, - 32,41,7,114,221,0,0,0,114,143,0,0,0,218,18,101, - 120,116,101,110,115,105,111,110,95,115,117,102,102,105,120,101, - 115,114,215,0,0,0,114,88,0,0,0,114,220,0,0,0, - 114,78,0,0,0,41,3,90,10,101,120,116,101,110,115,105, - 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, - 6,0,0,0,114,159,0,0,0,77,5,0,0,115,8,0, - 0,0,0,5,12,1,8,1,8,1,114,159,0,0,0,99, - 1,0,0,0,0,0,0,0,12,0,0,0,12,0,0,0, - 67,0,0,0,115,188,1,0,0,124,0,97,0,116,0,106, - 1,97,1,116,0,106,2,97,2,116,1,106,3,116,4,25, - 0,125,1,120,56,100,26,68,0,93,48,125,2,124,2,116, - 1,106,3,107,7,114,58,116,0,106,5,124,2,131,1,125, - 3,110,10,116,1,106,3,124,2,25,0,125,3,116,6,124, - 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0,0,218,8,95,105,110,115,116,97,108,108,156,5,0,0, - 115,12,0,0,0,0,2,8,1,6,1,22,1,10,1,12, - 1,114,34,1,0,0,41,1,122,3,119,105,110,41,2,114, - 1,0,0,0,114,2,0,0,0,41,1,114,49,0,0,0, - 41,1,78,41,3,78,78,78,41,3,78,78,78,41,2,114, - 62,0,0,0,114,62,0,0,0,41,1,78,41,1,78,41, - 58,114,111,0,0,0,114,12,0,0,0,90,37,95,67,65, - 83,69,95,73,78,83,69,78,83,73,84,73,86,69,95,80, - 76,65,84,70,79,82,77,83,95,66,89,84,69,83,95,75, - 69,89,114,11,0,0,0,114,13,0,0,0,114,19,0,0, - 0,114,21,0,0,0,114,30,0,0,0,114,40,0,0,0, - 114,41,0,0,0,114,45,0,0,0,114,46,0,0,0,114, - 48,0,0,0,114,58,0,0,0,218,4,116,121,112,101,218, - 8,95,95,99,111,100,101,95,95,114,142,0,0,0,114,17, - 0,0,0,114,132,0,0,0,114,16,0,0,0,114,20,0, - 0,0,90,17,95,82,65,87,95,77,65,71,73,67,95,78, - 85,77,66,69,82,114,77,0,0,0,114,76,0,0,0,114, - 88,0,0,0,114,78,0,0,0,90,23,68,69,66,85,71, - 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, - 83,0,0,0,114,89,0,0,0,114,95,0,0,0,114,99, - 0,0,0,114,101,0,0,0,114,120,0,0,0,114,127,0, - 0,0,114,139,0,0,0,114,145,0,0,0,114,148,0,0, - 0,114,153,0,0,0,218,6,111,98,106,101,99,116,114,160, - 0,0,0,114,165,0,0,0,114,166,0,0,0,114,181,0, - 0,0,114,191,0,0,0,114,207,0,0,0,114,215,0,0, - 0,114,220,0,0,0,114,226,0,0,0,114,221,0,0,0, - 114,227,0,0,0,114,246,0,0,0,114,248,0,0,0,114, - 5,1,0,0,114,23,1,0,0,114,159,0,0,0,114,32, - 1,0,0,114,34,1,0,0,114,4,0,0,0,114,4,0, - 0,0,114,4,0,0,0,114,6,0,0,0,218,8,60,109, - 111,100,117,108,101,62,8,0,0,0,115,108,0,0,0,4, - 16,4,1,4,1,2,1,6,3,8,17,8,5,8,5,8, - 6,8,12,8,10,8,9,8,5,8,7,10,22,10,121,16, - 1,12,2,4,1,4,2,6,2,6,2,8,2,16,45,8, - 34,8,19,8,12,8,12,8,28,8,17,10,55,10,12,10, - 10,8,14,6,3,4,1,14,67,14,64,14,29,16,110,14, - 41,18,45,18,16,4,3,18,53,14,60,14,42,14,127,0, - 5,14,127,0,22,10,23,8,11,8,68, + 112,111,114,116,32,99,111,109,112,111,110,101,110,116,115,46, + 114,27,1,0,0,78,41,13,114,32,1,0,0,114,159,0, + 0,0,114,8,0,0,0,114,253,0,0,0,114,147,0,0, + 0,114,5,1,0,0,114,18,1,0,0,114,3,0,0,0, + 114,109,0,0,0,218,9,109,101,116,97,95,112,97,116,104, + 114,161,0,0,0,114,166,0,0,0,114,248,0,0,0,41, + 2,114,31,1,0,0,90,17,115,117,112,112,111,114,116,101, + 100,95,108,111,97,100,101,114,115,114,4,0,0,0,114,4, + 0,0,0,114,6,0,0,0,218,8,95,105,110,115,116,97, + 108,108,156,5,0,0,115,12,0,0,0,0,2,8,1,6, + 1,20,1,10,1,12,1,114,34,1,0,0,41,1,122,3, + 119,105,110,41,2,114,1,0,0,0,114,2,0,0,0,41, + 1,114,49,0,0,0,41,1,78,41,3,78,78,78,41,3, + 78,78,78,41,2,114,62,0,0,0,114,62,0,0,0,41, + 1,78,41,1,78,41,58,114,111,0,0,0,114,12,0,0, + 0,90,37,95,67,65,83,69,95,73,78,83,69,78,83,73, + 84,73,86,69,95,80,76,65,84,70,79,82,77,83,95,66, + 89,84,69,83,95,75,69,89,114,11,0,0,0,114,13,0, + 0,0,114,19,0,0,0,114,21,0,0,0,114,30,0,0, + 0,114,40,0,0,0,114,41,0,0,0,114,45,0,0,0, + 114,46,0,0,0,114,48,0,0,0,114,58,0,0,0,218, + 4,116,121,112,101,218,8,95,95,99,111,100,101,95,95,114, + 142,0,0,0,114,17,0,0,0,114,132,0,0,0,114,16, + 0,0,0,114,20,0,0,0,90,17,95,82,65,87,95,77, + 65,71,73,67,95,78,85,77,66,69,82,114,77,0,0,0, + 114,76,0,0,0,114,88,0,0,0,114,78,0,0,0,90, + 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, + 70,73,88,69,83,114,83,0,0,0,114,89,0,0,0,114, + 95,0,0,0,114,99,0,0,0,114,101,0,0,0,114,120, + 0,0,0,114,127,0,0,0,114,139,0,0,0,114,145,0, + 0,0,114,148,0,0,0,114,153,0,0,0,218,6,111,98, + 106,101,99,116,114,160,0,0,0,114,165,0,0,0,114,166, + 0,0,0,114,181,0,0,0,114,191,0,0,0,114,207,0, + 0,0,114,215,0,0,0,114,220,0,0,0,114,226,0,0, + 0,114,221,0,0,0,114,227,0,0,0,114,246,0,0,0, + 114,248,0,0,0,114,5,1,0,0,114,23,1,0,0,114, + 159,0,0,0,114,32,1,0,0,114,34,1,0,0,114,4, + 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, + 0,0,218,8,60,109,111,100,117,108,101,62,8,0,0,0, + 115,108,0,0,0,4,16,4,1,4,1,2,1,6,3,8, + 17,8,5,8,5,8,6,8,12,8,10,8,9,8,5,8, + 7,10,22,10,121,16,1,12,2,4,1,4,2,6,2,6, + 2,8,2,16,45,8,34,8,19,8,12,8,12,8,28,8, + 17,10,55,10,12,10,10,8,14,6,3,4,1,14,67,14, + 64,14,29,16,110,14,41,18,45,18,16,4,3,18,53,14, + 60,14,42,14,127,0,5,14,127,0,22,10,23,8,11,8, + 68, }; -- cgit v1.2.1 From f44bfdae681b2ece4e8f1dec0bf4a46d98fe533b Mon Sep 17 00:00:00 2001 From: "Eric V. Smith" Date: Sun, 11 Sep 2016 18:58:20 -0400 Subject: Make an f-string error message more exact and consistent. --- Python/ast.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/ast.c b/Python/ast.c index 092031cc8c..765d24e11b 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -4419,7 +4419,7 @@ fstring_find_expr(const char **str, const char *end, int raw, int recurse_lvl, } else if (ch == '#') { /* Error: can't include a comment character, inside parens or not. */ - ast_error(c, n, "f-string cannot include '#'"); + ast_error(c, n, "f-string expression part cannot include '#'"); return -1; } else if (nested_depth == 0 && (ch == '!' || ch == ':' || ch == '}')) { -- cgit v1.2.1 From 3308039cf159aa66866e32c9dd0e9a39ac64a73f Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Mon, 12 Sep 2016 11:16:37 +0200 Subject: Issue #27213: Fix reference leaks --- Python/ceval.c | 2 ++ 1 file changed, 2 insertions(+) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 06d3a659bd..c9ac03f90f 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -3300,6 +3300,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) PyEval_GetFuncDesc(func), kwargs->ob_type->tp_name); } + Py_DECREF(kwargs); goto error; } Py_DECREF(kwargs); @@ -3318,6 +3319,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) PyEval_GetFuncName(func), PyEval_GetFuncDesc(func), callargs->ob_type->tp_name); + Py_DECREF(callargs); goto error; } Py_SETREF(callargs, PySequence_Tuple(callargs)); -- cgit v1.2.1 From af28671b2c1ff0e7b5c27f588b5620de8d17e676 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Mon, 12 Sep 2016 13:37:07 +0200 Subject: Document kwnames in _PyObject_FastCallKeywords() and _PyStack_AsDict() Issue #27213. --- Python/ceval.c | 5 +++++ 1 file changed, 5 insertions(+) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index c9ac03f90f..ff36d365b3 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -4863,7 +4863,12 @@ fast_function(PyObject *func, PyObject **stack, Py_ssize_t nkwargs = (kwnames == NULL) ? 0 : PyTuple_GET_SIZE(kwnames); Py_ssize_t nd; + assert(PyFunction_Check(func)); + assert(nargs >= 0); + assert(kwnames == NULL || PyTuple_CheckExact(kwnames)); assert((nargs == 0 && nkwargs == 0) || stack != NULL); + /* kwnames must only contains str strings, no subclass, and all keys must + be unique */ PCALL(PCALL_FUNCTION); PCALL(PCALL_FAST_FUNCTION); -- cgit v1.2.1 From a516e391d34bf1983282a237d9eb60d7c2cbb82f Mon Sep 17 00:00:00 2001 From: Christian Heimes Date: Tue, 13 Sep 2016 20:22:02 +0200 Subject: Issue #28126: Replace Py_MEMCPY with memcpy(). Visual Studio can properly optimize memcpy(). --- Python/marshal.c | 4 ++-- Python/pyhash.c | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) (limited to 'Python') diff --git a/Python/marshal.c b/Python/marshal.c index 627a8428e5..87a4b240a4 100644 --- a/Python/marshal.c +++ b/Python/marshal.c @@ -130,7 +130,7 @@ w_string(const char *s, Py_ssize_t n, WFILE *p) m = p->end - p->ptr; if (p->fp != NULL) { if (n <= m) { - Py_MEMCPY(p->ptr, s, n); + memcpy(p->ptr, s, n); p->ptr += n; } else { @@ -140,7 +140,7 @@ w_string(const char *s, Py_ssize_t n, WFILE *p) } else { if (n <= m || w_reserve(p, n - m)) { - Py_MEMCPY(p->ptr, s, n); + memcpy(p->ptr, s, n); p->ptr += n; } } diff --git a/Python/pyhash.c b/Python/pyhash.c index 9080d251b6..57a2da715e 100644 --- a/Python/pyhash.c +++ b/Python/pyhash.c @@ -396,7 +396,7 @@ siphash24(const void *src, Py_ssize_t src_sz) { case 7: pt[6] = m[6]; case 6: pt[5] = m[5]; case 5: pt[4] = m[4]; - case 4: Py_MEMCPY(pt, m, sizeof(uint32_t)); break; + case 4: memcpy(pt, m, sizeof(uint32_t)); break; case 3: pt[2] = m[2]; case 2: pt[1] = m[1]; case 1: pt[0] = m[0]; -- cgit v1.2.1 From 75a546e4742311e7ed442e47410c55e57de71fd6 Mon Sep 17 00:00:00 2001 From: Yury Selivanov Date: Thu, 15 Sep 2016 12:50:23 -0400 Subject: Issue #26182: Raise DeprecationWarning for improper use of async/await keywords --- Python/ast.c | 20 ++++++++++++++++++++ 1 file changed, 20 insertions(+) (limited to 'Python') diff --git a/Python/ast.c b/Python/ast.c index 765d24e11b..deea579c0d 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -938,6 +938,26 @@ forbidden_name(struct compiling *c, identifier name, const node *n, ast_error(c, n, "assignment to keyword"); return 1; } + if (PyUnicode_CompareWithASCIIString(name, "async") == 0 || + PyUnicode_CompareWithASCIIString(name, "await") == 0) + { + PyObject *message = PyUnicode_FromString( + "'async' and 'await' will become reserved keywords" + " in Python 3.7"); + if (message == NULL) { + return 1; + } + if (PyErr_WarnExplicitObject( + PyExc_DeprecationWarning, + message, + c->c_filename, + LINENO(n), + NULL, + NULL) < 0) + { + return 1; + } + } if (full_checks) { const char * const *p; for (p = FORBIDDEN; *p; p++) { -- cgit v1.2.1 From acffd14de543f9752af1ee29c36739c14b05767c Mon Sep 17 00:00:00 2001 From: Steve Dower Date: Sat, 17 Sep 2016 17:27:48 -0700 Subject: Issue #27932: Prevent memory leak in win32_ver(). --- Python/sysmodule.c | 46 ++++++++++++++++++++++++++++++++++++++++++---- 1 file changed, 42 insertions(+), 4 deletions(-) (limited to 'Python') diff --git a/Python/sysmodule.c b/Python/sysmodule.c index b7afe93ca5..5dd0d10834 100644 --- a/Python/sysmodule.c +++ b/Python/sysmodule.c @@ -894,10 +894,11 @@ Return information about the running version of Windows as a named tuple.\n\ The members are named: major, minor, build, platform, service_pack,\n\ service_pack_major, service_pack_minor, suite_mask, and product_type. For\n\ backward compatibility, only the first 5 items are available by indexing.\n\ -All elements are numbers, except service_pack which is a string. Platform\n\ -may be 0 for win32s, 1 for Windows 9x/ME, 2 for Windows NT/2000/XP/Vista/7,\n\ -3 for Windows CE. Product_type may be 1 for a workstation, 2 for a domain\n\ -controller, 3 for a server." +All elements are numbers, except service_pack and platform_type which are\n\ +strings, and platform_version which is a 3-tuple. Platform is always 2.\n\ +Product_type may be 1 for a workstation, 2 for a domain controller, 3 for a\n\ +server. Platform_version is a 3-tuple containing a version number that is\n\ +intended for identifying the OS rather than feature detection." ); static PyTypeObject WindowsVersionType = {0, 0, 0, 0, 0, 0}; @@ -912,6 +913,7 @@ static PyStructSequence_Field windows_version_fields[] = { {"service_pack_minor", "Service Pack minor version number"}, {"suite_mask", "Bit mask identifying available product suites"}, {"product_type", "System product type"}, + {"platform_version", "Diagnostic version number"}, {0} }; @@ -936,6 +938,12 @@ sys_getwindowsversion(PyObject *self) PyObject *version; int pos = 0; OSVERSIONINFOEX ver; + DWORD realMajor, realMinor, realBuild; + HANDLE hKernel32; + wchar_t kernel32_path[MAX_PATH]; + LPVOID verblock; + DWORD verblock_size; + ver.dwOSVersionInfoSize = sizeof(ver); if (!GetVersionEx((OSVERSIONINFO*) &ver)) return PyErr_SetFromWindowsErr(0); @@ -954,10 +962,40 @@ sys_getwindowsversion(PyObject *self) PyStructSequence_SET_ITEM(version, pos++, PyLong_FromLong(ver.wSuiteMask)); PyStructSequence_SET_ITEM(version, pos++, PyLong_FromLong(ver.wProductType)); + realMajor = ver.dwMajorVersion; + realMinor = ver.dwMinorVersion; + realBuild = ver.dwBuildNumber; + + // GetVersion will lie if we are running in a compatibility mode. + // We need to read the version info from a system file resource + // to accurately identify the OS version. If we fail for any reason, + // just return whatever GetVersion said. + hKernel32 = GetModuleHandleW(L"kernel32.dll"); + if (hKernel32 && GetModuleFileNameW(hKernel32, kernel32_path, MAX_PATH) && + (verblock_size = GetFileVersionInfoSizeW(kernel32_path, NULL)) && + (verblock = PyMem_RawMalloc(verblock_size))) { + VS_FIXEDFILEINFO *ffi; + UINT ffi_len; + + if (GetFileVersionInfoW(kernel32_path, 0, verblock_size, verblock) && + VerQueryValueW(verblock, L"", (LPVOID)&ffi, &ffi_len)) { + realMajor = HIWORD(ffi->dwProductVersionMS); + realMinor = LOWORD(ffi->dwProductVersionMS); + realBuild = HIWORD(ffi->dwProductVersionLS); + } + PyMem_RawFree(verblock); + } + PyStructSequence_SET_ITEM(version, pos++, PyTuple_Pack(3, + PyLong_FromLong(realMajor), + PyLong_FromLong(realMinor), + PyLong_FromLong(realBuild) + )); + if (PyErr_Occurred()) { Py_DECREF(version); return NULL; } + return version; } -- cgit v1.2.1 From e8fcafd5f84d083f7ab78bffb672a621047c0bc4 Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Sun, 18 Sep 2016 23:49:51 -0700 Subject: delete dead code --- Python/ast.c | 3 --- 1 file changed, 3 deletions(-) (limited to 'Python') diff --git a/Python/ast.c b/Python/ast.c index deea579c0d..76daf6f446 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -3149,9 +3149,6 @@ ast_for_flow_stmt(struct compiling *c, const node *n) "unexpected flow_stmt: %d", TYPE(ch)); return NULL; } - - PyErr_SetString(PyExc_SystemError, "unhandled flow statement"); - return NULL; } static alias_ty -- cgit v1.2.1 From 31cb9f369965c4e70f7db1542686a0e845bb06db Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Tue, 20 Sep 2016 20:39:33 -0700 Subject: replace usage of Py_VA_COPY with the (C99) standard va_copy --- Python/getargs.c | 12 ++++++------ Python/modsupport.c | 2 +- 2 files changed, 7 insertions(+), 7 deletions(-) (limited to 'Python') diff --git a/Python/getargs.c b/Python/getargs.c index 87a5d26a88..cd80eda0e2 100644 --- a/Python/getargs.c +++ b/Python/getargs.c @@ -142,7 +142,7 @@ PyArg_VaParse(PyObject *args, const char *format, va_list va) { va_list lva; - Py_VA_COPY(lva, va); + va_copy(lva, va); return vgetargs1(args, format, &lva, 0); } @@ -152,7 +152,7 @@ _PyArg_VaParse_SizeT(PyObject *args, const char *format, va_list va) { va_list lva; - Py_VA_COPY(lva, va); + va_copy(lva, va); return vgetargs1(args, format, &lva, FLAG_SIZE_T); } @@ -1402,7 +1402,7 @@ PyArg_VaParseTupleAndKeywords(PyObject *args, return 0; } - Py_VA_COPY(lva, va); + va_copy(lva, va); retval = vgetargskeywords(args, keywords, format, kwlist, &lva, 0); return retval; @@ -1426,7 +1426,7 @@ _PyArg_VaParseTupleAndKeywords_SizeT(PyObject *args, return 0; } - Py_VA_COPY(lva, va); + va_copy(lva, va); retval = vgetargskeywords(args, keywords, format, kwlist, &lva, FLAG_SIZE_T); @@ -1531,7 +1531,7 @@ _PyArg_VaParseTupleAndKeywordsFast(PyObject *args, PyObject *keywords, return 0; } - Py_VA_COPY(lva, va); + va_copy(lva, va); retval = vgetargskeywordsfast(args, keywords, parser, &lva, 0); return retval; @@ -1552,7 +1552,7 @@ _PyArg_VaParseTupleAndKeywordsFast_SizeT(PyObject *args, PyObject *keywords, return 0; } - Py_VA_COPY(lva, va); + va_copy(lva, va); retval = vgetargskeywordsfast(args, keywords, parser, &lva, FLAG_SIZE_T); return retval; diff --git a/Python/modsupport.c b/Python/modsupport.c index f3aa91f2b9..bdaf8b22c5 100644 --- a/Python/modsupport.c +++ b/Python/modsupport.c @@ -468,7 +468,7 @@ va_build_value(const char *format, va_list va, int flags) int n = countformat(f, '\0'); va_list lva; - Py_VA_COPY(lva, va); + va_copy(lva, va); if (n < 0) return NULL; -- cgit v1.2.1 From dcf5141d78a919ed53f1cd8acd2542c95be2e5a6 Mon Sep 17 00:00:00 2001 From: Christian Heimes Date: Wed, 21 Sep 2016 11:37:27 +0200 Subject: va_end() all va_copy()ed va_lists. --- Python/getargs.c | 14 ++++++++++++-- Python/modsupport.c | 14 +++++++++----- 2 files changed, 21 insertions(+), 7 deletions(-) (limited to 'Python') diff --git a/Python/getargs.c b/Python/getargs.c index cd80eda0e2..43656eb2aa 100644 --- a/Python/getargs.c +++ b/Python/getargs.c @@ -141,20 +141,26 @@ int PyArg_VaParse(PyObject *args, const char *format, va_list va) { va_list lva; + int retval; va_copy(lva, va); - return vgetargs1(args, format, &lva, 0); + retval = vgetargs1(args, format, &lva, 0); + va_end(lva); + return retval; } int _PyArg_VaParse_SizeT(PyObject *args, const char *format, va_list va) { va_list lva; + int retval; va_copy(lva, va); - return vgetargs1(args, format, &lva, FLAG_SIZE_T); + retval = vgetargs1(args, format, &lva, FLAG_SIZE_T); + va_end(lva); + return retval; } @@ -1405,6 +1411,7 @@ PyArg_VaParseTupleAndKeywords(PyObject *args, va_copy(lva, va); retval = vgetargskeywords(args, keywords, format, kwlist, &lva, 0); + va_end(lva); return retval; } @@ -1430,6 +1437,7 @@ _PyArg_VaParseTupleAndKeywords_SizeT(PyObject *args, retval = vgetargskeywords(args, keywords, format, kwlist, &lva, FLAG_SIZE_T); + va_end(lva); return retval; } @@ -1534,6 +1542,7 @@ _PyArg_VaParseTupleAndKeywordsFast(PyObject *args, PyObject *keywords, va_copy(lva, va); retval = vgetargskeywordsfast(args, keywords, parser, &lva, 0); + va_end(lva); return retval; } @@ -1555,6 +1564,7 @@ _PyArg_VaParseTupleAndKeywordsFast_SizeT(PyObject *args, PyObject *keywords, va_copy(lva, va); retval = vgetargskeywordsfast(args, keywords, parser, &lva, FLAG_SIZE_T); + va_end(lva); return retval; } diff --git a/Python/modsupport.c b/Python/modsupport.c index bdaf8b22c5..aabee8fa59 100644 --- a/Python/modsupport.c +++ b/Python/modsupport.c @@ -467,8 +467,7 @@ va_build_value(const char *format, va_list va, int flags) const char *f = format; int n = countformat(f, '\0'); va_list lva; - - va_copy(lva, va); + PyObject *retval; if (n < 0) return NULL; @@ -476,9 +475,14 @@ va_build_value(const char *format, va_list va, int flags) Py_INCREF(Py_None); return Py_None; } - if (n == 1) - return do_mkvalue(&f, &lva, flags); - return do_mktuple(&f, &lva, '\0', n, flags); + va_copy(lva, va); + if (n == 1) { + retval = do_mkvalue(&f, &lva, flags); + } else { + retval = do_mktuple(&f, &lva, '\0', n, flags); + } + va_end(lva); + return retval; } -- cgit v1.2.1 From f66fc0cf7578db63bce994ce14465f7b61aaa614 Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Thu, 22 Sep 2016 19:41:20 +0300 Subject: Issue #28086: Single var-positional argument of tuple subtype was passed unscathed to the C-defined function. Now it is converted to exact tuple. --- Python/ceval.c | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index ff36d365b3..39cf33019d 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -3310,7 +3310,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) } callargs = POP(); func = TOP(); - if (!PyTuple_Check(callargs)) { + if (!PyTuple_CheckExact(callargs)) { if (Py_TYPE(callargs)->tp_iter == NULL && !PySequence_Check(callargs)) { PyErr_Format(PyExc_TypeError, @@ -3327,7 +3327,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) goto error; } } - assert(PyTuple_Check(callargs)); + assert(PyTuple_CheckExact(callargs)); result = do_call_core(func, callargs, kwargs); Py_DECREF(func); -- cgit v1.2.1 From eb54e383fbe29fd13d1d92e478caa1bd6b18d098 Mon Sep 17 00:00:00 2001 From: Christian Heimes Date: Fri, 23 Sep 2016 20:26:30 +0200 Subject: Issue #28100: Refactor error messages, patch by Ivan Levkivskyi --- Python/symtable.c | 20 ++++++++------------ 1 file changed, 8 insertions(+), 12 deletions(-) (limited to 'Python') diff --git a/Python/symtable.c b/Python/symtable.c index f762904240..bf30eccdab 100644 --- a/Python/symtable.c +++ b/Python/symtable.c @@ -1282,15 +1282,13 @@ symtable_visit_stmt(struct symtable *st, stmt_ty s) VISIT_QUIT(st, 0); if (cur & (DEF_LOCAL | USE | DEF_ANNOT)) { char* msg; - if (cur & DEF_ANNOT) { + if (cur & USE) { + msg = GLOBAL_AFTER_USE; + } else if (cur & DEF_ANNOT) { msg = GLOBAL_ANNOT; - } - if (cur & DEF_LOCAL) { + } else { /* DEF_LOCAL */ msg = GLOBAL_AFTER_ASSIGN; } - else { - msg = GLOBAL_AFTER_USE; - } PyErr_Format(PyExc_SyntaxError, msg, name); PyErr_SyntaxLocationObject(st->st_filename, @@ -1315,15 +1313,13 @@ symtable_visit_stmt(struct symtable *st, stmt_ty s) VISIT_QUIT(st, 0); if (cur & (DEF_LOCAL | USE | DEF_ANNOT)) { char* msg; - if (cur & DEF_ANNOT) { + if (cur & USE) { + msg = NONLOCAL_AFTER_USE; + } else if (cur & DEF_ANNOT) { msg = NONLOCAL_ANNOT; - } - if (cur & DEF_LOCAL) { + } else { /* DEF_LOCAL */ msg = NONLOCAL_AFTER_ASSIGN; } - else { - msg = NONLOCAL_AFTER_USE; - } PyErr_Format(PyExc_SyntaxError, msg, name); PyErr_SyntaxLocationObject(st->st_filename, s->lineno, -- cgit v1.2.1 From ada5f796e97b5a38b43571134f846366876ae54d Mon Sep 17 00:00:00 2001 From: Alexander Belopolsky Date: Wed, 28 Sep 2016 17:31:35 -0400 Subject: Issue #28148: Stop using localtime() and gmtime() in the time module. Introduced platform independent _PyTime_localtime API that is similar to POSIX localtime_r, but available on all platforms. Patch by Ed Schouten. --- Python/pytime.c | 52 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 52 insertions(+) (limited to 'Python') diff --git a/Python/pytime.c b/Python/pytime.c index 02ef8ee7d6..3015a6be0b 100644 --- a/Python/pytime.c +++ b/Python/pytime.c @@ -766,3 +766,55 @@ _PyTime_Init(void) return 0; } + +int +_PyTime_localtime(time_t t, struct tm *tm) +{ +#ifdef MS_WINDOWS + int error; + + error = localtime_s(tm, &t); + if (error != 0) { + errno = error; + PyErr_SetFromErrno(PyExc_OSError); + return -1; + } + return 0; +#else /* !MS_WINDOWS */ + if (localtime_r(&t, tm) == NULL) { +#ifdef EINVAL + if (errno == 0) + errno = EINVAL; +#endif + PyErr_SetFromErrno(PyExc_OSError); + return -1; + } + return 0; +#endif /* MS_WINDOWS */ +} + +int +_PyTime_gmtime(time_t t, struct tm *tm) +{ +#ifdef MS_WINDOWS + int error; + + error = gmtime_s(tm, &t); + if (error != 0) { + errno = error; + PyErr_SetFromErrno(PyExc_OSError); + return -1; + } + return 0; +#else /* !MS_WINDOWS */ + if (gmtime_r(&t, tm) == NULL) { +#ifdef EINVAL + if (errno == 0) + errno = EINVAL; +#endif + PyErr_SetFromErrno(PyExc_OSError); + return -1; + } + return 0; +#endif /* MS_WINDOWS */ +} -- cgit v1.2.1 From a9d40323166c43221f8a4f57170cb057f95ad2dc Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Sun, 2 Oct 2016 10:33:46 +0300 Subject: Issue #28257: Improved error message when pass a non-iterable as a var-positional argument. Added opcode BUILD_TUPLE_UNPACK_WITH_CALL. --- Python/ceval.c | 13 ++- Python/compile.c | 4 +- Python/importlib_external.h | 212 ++++++++++++++++++++++---------------------- Python/opcode_targets.h | 2 +- 4 files changed, 121 insertions(+), 110 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 39cf33019d..717ac33891 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -2509,9 +2509,10 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) DISPATCH(); } + TARGET(BUILD_TUPLE_UNPACK_WITH_CALL) TARGET(BUILD_TUPLE_UNPACK) TARGET(BUILD_LIST_UNPACK) { - int convert_to_tuple = opcode == BUILD_TUPLE_UNPACK; + int convert_to_tuple = opcode != BUILD_LIST_UNPACK; Py_ssize_t i; PyObject *sum = PyList_New(0); PyObject *return_value; @@ -2524,6 +2525,16 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) none_val = _PyList_Extend((PyListObject *)sum, PEEK(i)); if (none_val == NULL) { + if (opcode == BUILD_TUPLE_UNPACK_WITH_CALL && + PyErr_ExceptionMatches(PyExc_TypeError)) { + PyObject *func = PEEK(1 + oparg); + PyErr_Format(PyExc_TypeError, + "%.200s%.200s argument after * " + "must be an iterable, not %.200s", + PyEval_GetFuncName(func), + PyEval_GetFuncDesc(func), + PEEK(i)->ob_type->tp_name); + } Py_DECREF(sum); goto error; } diff --git a/Python/compile.c b/Python/compile.c index 9502feef7c..c0c81e1228 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -987,9 +987,9 @@ PyCompile_OpcodeStackEffect(int opcode, int oparg) return 1-oparg; case BUILD_LIST_UNPACK: case BUILD_TUPLE_UNPACK: + case BUILD_TUPLE_UNPACK_WITH_CALL: case BUILD_SET_UNPACK: case BUILD_MAP_UNPACK: - return 1 - oparg; case BUILD_MAP_UNPACK_WITH_CALL: return 1 - oparg; case BUILD_MAP: @@ -3549,7 +3549,7 @@ compiler_call_helper(struct compiler *c, if (nsubargs > 1) { /* If we ended up with more than one stararg, we need to concatenate them into a single sequence. */ - ADDOP_I(c, BUILD_TUPLE_UNPACK, nsubargs); + ADDOP_I(c, BUILD_TUPLE_UNPACK_WITH_CALL, nsubargs); } else if (nsubargs == 0) { ADDOP_I(c, BUILD_TUPLE, 0); diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 0b3b4d03ba..0afe7dea94 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -242,7 +242,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,95,97,116,111,109,105,99,106,0,0,0,115,26,0,0, 0,0,5,16,1,6,1,26,1,2,3,14,1,20,1,16, 1,14,1,2,1,14,1,14,1,6,1,114,58,0,0,0, - 105,49,13,0,0,233,2,0,0,0,114,15,0,0,0,115, + 105,50,13,0,0,233,2,0,0,0,114,15,0,0,0,115, 2,0,0,0,13,10,90,11,95,95,112,121,99,97,99,104, 101,95,95,122,4,111,112,116,45,122,3,46,112,121,122,4, 46,112,121,99,78,41,1,218,12,111,112,116,105,109,105,122, @@ -346,7 +346,7 @@ const unsigned char _Py_M__importlib_external[] = { 103,90,15,97,108,109,111,115,116,95,102,105,108,101,110,97, 109,101,114,4,0,0,0,114,4,0,0,0,114,6,0,0, 0,218,17,99,97,99,104,101,95,102,114,111,109,95,115,111, - 117,114,99,101,5,1,0,0,115,48,0,0,0,0,18,8, + 117,114,99,101,6,1,0,0,115,48,0,0,0,0,18,8, 1,6,1,6,1,8,1,4,1,8,1,12,1,10,1,12, 1,16,1,8,1,8,1,8,1,24,1,8,1,12,1,6, 2,8,1,8,1,8,1,8,1,14,1,14,1,114,83,0, @@ -420,7 +420,7 @@ const unsigned char _Py_M__importlib_external[] = { 112,116,95,108,101,118,101,108,90,13,98,97,115,101,95,102, 105,108,101,110,97,109,101,114,4,0,0,0,114,4,0,0, 0,114,6,0,0,0,218,17,115,111,117,114,99,101,95,102, - 114,111,109,95,99,97,99,104,101,50,1,0,0,115,46,0, + 114,111,109,95,99,97,99,104,101,51,1,0,0,115,46,0, 0,0,0,9,12,1,8,1,10,1,12,1,12,1,8,1, 6,1,10,1,10,1,8,1,6,1,10,1,8,1,16,1, 10,1,6,1,8,1,16,1,8,1,6,1,8,1,14,1, @@ -456,7 +456,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,105,111,110,218,11,115,111,117,114,99,101,95,112,97,116, 104,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, 218,15,95,103,101,116,95,115,111,117,114,99,101,102,105,108, - 101,84,1,0,0,115,20,0,0,0,0,7,12,1,4,1, + 101,85,1,0,0,115,20,0,0,0,0,7,12,1,4,1, 16,1,26,1,4,1,2,1,12,1,18,1,18,1,114,95, 0,0,0,99,1,0,0,0,0,0,0,0,1,0,0,0, 11,0,0,0,67,0,0,0,115,74,0,0,0,124,0,106, @@ -469,7 +469,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,114,83,0,0,0,114,70,0,0,0,114,78,0,0, 0,41,1,218,8,102,105,108,101,110,97,109,101,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,11,95,103, - 101,116,95,99,97,99,104,101,100,103,1,0,0,115,16,0, + 101,116,95,99,97,99,104,101,100,104,1,0,0,115,16,0, 0,0,0,1,14,1,2,1,8,1,14,1,8,1,14,1, 6,2,114,99,0,0,0,99,1,0,0,0,0,0,0,0, 2,0,0,0,11,0,0,0,67,0,0,0,115,52,0,0, @@ -483,7 +483,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,233,128,0,0,0,41,3,114,41,0,0,0,114,43,0, 0,0,114,42,0,0,0,41,2,114,37,0,0,0,114,44, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,10,95,99,97,108,99,95,109,111,100,101,115,1, + 0,0,218,10,95,99,97,108,99,95,109,111,100,101,116,1, 0,0,115,12,0,0,0,0,2,2,1,14,1,14,1,10, 3,8,1,114,101,0,0,0,99,1,0,0,0,0,0,0, 0,3,0,0,0,11,0,0,0,3,0,0,0,115,68,0, @@ -512,7 +512,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,124,1,100,0,107,8,114,16,124,0,106,0,125,1,110, 32,124,0,106,0,124,1,107,3,114,48,116,1,100,1,124, 0,106,0,124,1,102,2,22,0,124,1,100,2,141,2,130, - 1,136,0,124,0,124,1,102,2,124,2,152,2,124,3,142, + 1,136,0,124,0,124,1,102,2,124,2,158,2,124,3,142, 1,83,0,41,3,78,122,30,108,111,97,100,101,114,32,102, 111,114,32,37,115,32,99,97,110,110,111,116,32,104,97,110, 100,108,101,32,37,115,41,1,218,4,110,97,109,101,41,2, @@ -521,7 +521,7 @@ const unsigned char _Py_M__importlib_external[] = { 4,97,114,103,115,90,6,107,119,97,114,103,115,41,1,218, 6,109,101,116,104,111,100,114,4,0,0,0,114,6,0,0, 0,218,19,95,99,104,101,99,107,95,110,97,109,101,95,119, - 114,97,112,112,101,114,135,1,0,0,115,12,0,0,0,0, + 114,97,112,112,101,114,136,1,0,0,115,12,0,0,0,0, 1,8,1,8,1,10,1,4,1,18,1,122,40,95,99,104, 101,99,107,95,110,97,109,101,46,60,108,111,99,97,108,115, 62,46,95,99,104,101,99,107,95,110,97,109,101,95,119,114, @@ -540,7 +540,7 @@ const unsigned char _Py_M__importlib_external[] = { 95,95,100,105,99,116,95,95,218,6,117,112,100,97,116,101, 41,3,90,3,110,101,119,90,3,111,108,100,114,55,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 218,5,95,119,114,97,112,146,1,0,0,115,8,0,0,0, + 218,5,95,119,114,97,112,147,1,0,0,115,8,0,0,0, 0,1,10,1,10,1,22,1,122,26,95,99,104,101,99,107, 95,110,97,109,101,46,60,108,111,99,97,108,115,62,46,95, 119,114,97,112,41,1,78,41,3,218,10,95,98,111,111,116, @@ -548,7 +548,7 @@ const unsigned char _Py_M__importlib_external[] = { 69,114,114,111,114,41,3,114,106,0,0,0,114,107,0,0, 0,114,117,0,0,0,114,4,0,0,0,41,1,114,106,0, 0,0,114,6,0,0,0,218,11,95,99,104,101,99,107,95, - 110,97,109,101,127,1,0,0,115,14,0,0,0,0,8,14, + 110,97,109,101,128,1,0,0,115,14,0,0,0,0,8,14, 7,2,1,10,1,14,2,14,5,10,1,114,120,0,0,0, 99,2,0,0,0,0,0,0,0,5,0,0,0,4,0,0, 0,67,0,0,0,115,60,0,0,0,124,0,106,0,124,1, @@ -576,7 +576,7 @@ const unsigned char _Py_M__importlib_external[] = { 97,100,101,114,218,8,112,111,114,116,105,111,110,115,218,3, 109,115,103,114,4,0,0,0,114,4,0,0,0,114,6,0, 0,0,218,17,95,102,105,110,100,95,109,111,100,117,108,101, - 95,115,104,105,109,155,1,0,0,115,10,0,0,0,0,10, + 95,115,104,105,109,156,1,0,0,115,10,0,0,0,0,10, 14,1,16,1,4,1,22,1,114,127,0,0,0,99,4,0, 0,0,0,0,0,0,11,0,0,0,22,0,0,0,67,0, 0,0,115,136,1,0,0,105,0,125,4,124,2,100,1,107, @@ -656,7 +656,7 @@ const unsigned char _Py_M__importlib_external[] = { 218,11,115,111,117,114,99,101,95,115,105,122,101,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,25,95,118, 97,108,105,100,97,116,101,95,98,121,116,101,99,111,100,101, - 95,104,101,97,100,101,114,172,1,0,0,115,76,0,0,0, + 95,104,101,97,100,101,114,173,1,0,0,115,76,0,0,0, 0,11,4,1,8,1,10,3,4,1,8,1,8,1,12,1, 12,1,12,1,8,1,12,1,12,1,14,1,12,1,10,1, 12,1,10,1,12,1,10,1,12,1,8,1,10,1,2,1, @@ -685,7 +685,7 @@ const unsigned char _Py_M__importlib_external[] = { 41,5,114,56,0,0,0,114,102,0,0,0,114,93,0,0, 0,114,94,0,0,0,218,4,99,111,100,101,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,17,95,99,111, - 109,112,105,108,101,95,98,121,116,101,99,111,100,101,227,1, + 109,112,105,108,101,95,98,121,116,101,99,111,100,101,228,1, 0,0,115,16,0,0,0,0,2,10,1,10,1,12,1,8, 1,12,1,6,2,10,1,114,145,0,0,0,114,62,0,0, 0,99,3,0,0,0,0,0,0,0,4,0,0,0,3,0, @@ -704,7 +704,7 @@ const unsigned char _Py_M__importlib_external[] = { 112,115,41,4,114,144,0,0,0,114,130,0,0,0,114,138, 0,0,0,114,56,0,0,0,114,4,0,0,0,114,4,0, 0,0,114,6,0,0,0,218,17,95,99,111,100,101,95,116, - 111,95,98,121,116,101,99,111,100,101,239,1,0,0,115,10, + 111,95,98,121,116,101,99,111,100,101,240,1,0,0,115,10, 0,0,0,0,3,8,1,14,1,14,1,16,1,114,148,0, 0,0,99,1,0,0,0,0,0,0,0,5,0,0,0,4, 0,0,0,67,0,0,0,115,62,0,0,0,100,1,100,2, @@ -731,7 +731,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 0,0,114,4,0,0,0,114,6,0,0,0,218,13,100,101, - 99,111,100,101,95,115,111,117,114,99,101,249,1,0,0,115, + 99,111,100,101,95,115,111,117,114,99,101,250,1,0,0,115, 10,0,0,0,0,5,8,1,12,1,10,1,12,1,114,153, 0,0,0,41,2,114,124,0,0,0,218,26,115,117,98,109, 111,100,117,108,101,95,115,101,97,114,99,104,95,108,111,99, @@ -793,7 +793,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,90,7,100,105,114,110,97,109,101,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,23,115,112,101, 99,95,102,114,111,109,95,102,105,108,101,95,108,111,99,97, - 116,105,111,110,10,2,0,0,115,62,0,0,0,0,12,8, + 116,105,111,110,11,2,0,0,115,62,0,0,0,0,12,8, 4,4,1,10,2,2,1,14,1,14,1,8,2,10,8,16, 1,6,3,8,1,16,1,14,1,10,1,6,1,6,2,4, 3,8,2,10,1,2,1,14,1,14,1,6,2,4,1,8, @@ -829,7 +829,7 @@ const unsigned char _Py_M__importlib_external[] = { 18,72,75,69,89,95,76,79,67,65,76,95,77,65,67,72, 73,78,69,41,2,218,3,99,108,115,114,5,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,14, - 95,111,112,101,110,95,114,101,103,105,115,116,114,121,90,2, + 95,111,112,101,110,95,114,101,103,105,115,116,114,121,91,2, 0,0,115,8,0,0,0,0,2,2,1,14,1,14,1,122, 36,87,105,110,100,111,119,115,82,101,103,105,115,116,114,121, 70,105,110,100,101,114,46,95,111,112,101,110,95,114,101,103, @@ -855,7 +855,7 @@ const unsigned char _Py_M__importlib_external[] = { 121,95,107,101,121,114,5,0,0,0,90,4,104,107,101,121, 218,8,102,105,108,101,112,97,116,104,114,4,0,0,0,114, 4,0,0,0,114,6,0,0,0,218,16,95,115,101,97,114, - 99,104,95,114,101,103,105,115,116,114,121,97,2,0,0,115, + 99,104,95,114,101,103,105,115,116,114,121,98,2,0,0,115, 22,0,0,0,0,2,6,1,8,2,6,1,6,1,22,1, 2,1,12,1,26,1,14,1,6,1,122,38,87,105,110,100, 111,119,115,82,101,103,105,115,116,114,121,70,105,110,100,101, @@ -877,7 +877,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,114,37,0,0,0,218,6,116,97,114,103,101,116,114, 174,0,0,0,114,124,0,0,0,114,164,0,0,0,114,162, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,9,102,105,110,100,95,115,112,101,99,112,2,0, + 0,0,218,9,102,105,110,100,95,115,112,101,99,113,2,0, 0,115,26,0,0,0,0,2,10,1,8,1,4,1,2,1, 12,1,14,1,6,1,16,1,14,1,6,1,8,1,8,1, 122,31,87,105,110,100,111,119,115,82,101,103,105,115,116,114, @@ -896,7 +896,7 @@ const unsigned char _Py_M__importlib_external[] = { 41,2,114,178,0,0,0,114,124,0,0,0,41,4,114,168, 0,0,0,114,123,0,0,0,114,37,0,0,0,114,162,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,218,11,102,105,110,100,95,109,111,100,117,108,101,128,2, + 0,218,11,102,105,110,100,95,109,111,100,117,108,101,129,2, 0,0,115,8,0,0,0,0,7,12,1,8,1,8,2,122, 33,87,105,110,100,111,119,115,82,101,103,105,115,116,114,121, 70,105,110,100,101,114,46,102,105,110,100,95,109,111,100,117, @@ -906,7 +906,7 @@ const unsigned char _Py_M__importlib_external[] = { 99,108,97,115,115,109,101,116,104,111,100,114,169,0,0,0, 114,175,0,0,0,114,178,0,0,0,114,179,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,166,0,0,0,78,2,0,0,115,20,0,0, + 0,0,0,114,166,0,0,0,79,2,0,0,115,20,0,0, 0,8,2,4,3,4,3,4,2,4,2,12,7,12,15,2, 1,12,15,2,1,114,166,0,0,0,99,0,0,0,0,0, 0,0,0,0,0,0,0,2,0,0,0,64,0,0,0,115, @@ -941,7 +941,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,123,0,0,0,114,98,0,0,0,90,13,102,105,108,101, 110,97,109,101,95,98,97,115,101,90,9,116,97,105,108,95, 110,97,109,101,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,157,0,0,0,147,2,0,0,115,8,0,0, + 0,0,0,114,157,0,0,0,148,2,0,0,115,8,0,0, 0,0,3,18,1,16,1,14,1,122,24,95,76,111,97,100, 101,114,66,97,115,105,99,115,46,105,115,95,112,97,99,107, 97,103,101,99,2,0,0,0,0,0,0,0,2,0,0,0, @@ -951,7 +951,7 @@ const unsigned char _Py_M__importlib_external[] = { 111,100,117,108,101,32,99,114,101,97,116,105,111,110,46,78, 114,4,0,0,0,41,2,114,104,0,0,0,114,162,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 218,13,99,114,101,97,116,101,95,109,111,100,117,108,101,155, + 218,13,99,114,101,97,116,101,95,109,111,100,117,108,101,156, 2,0,0,115,0,0,0,0,122,27,95,76,111,97,100,101, 114,66,97,115,105,99,115,46,99,114,101,97,116,101,95,109, 111,100,117,108,101,99,2,0,0,0,0,0,0,0,3,0, @@ -971,7 +971,7 @@ const unsigned char _Py_M__importlib_external[] = { 218,4,101,120,101,99,114,115,0,0,0,41,3,114,104,0, 0,0,218,6,109,111,100,117,108,101,114,144,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,11, - 101,120,101,99,95,109,111,100,117,108,101,158,2,0,0,115, + 101,120,101,99,95,109,111,100,117,108,101,159,2,0,0,115, 10,0,0,0,0,2,12,1,8,1,6,1,10,1,122,25, 95,76,111,97,100,101,114,66,97,115,105,99,115,46,101,120, 101,99,95,109,111,100,117,108,101,99,2,0,0,0,0,0, @@ -982,14 +982,14 @@ const unsigned char _Py_M__importlib_external[] = { 118,0,0,0,218,17,95,108,111,97,100,95,109,111,100,117, 108,101,95,115,104,105,109,41,2,114,104,0,0,0,114,123, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,11,108,111,97,100,95,109,111,100,117,108,101,166, + 0,0,218,11,108,111,97,100,95,109,111,100,117,108,101,167, 2,0,0,115,2,0,0,0,0,2,122,25,95,76,111,97, 100,101,114,66,97,115,105,99,115,46,108,111,97,100,95,109, 111,100,117,108,101,78,41,8,114,109,0,0,0,114,108,0, 0,0,114,110,0,0,0,114,111,0,0,0,114,157,0,0, 0,114,183,0,0,0,114,188,0,0,0,114,190,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,181,0,0,0,142,2,0,0,115,10,0, + 6,0,0,0,114,181,0,0,0,143,2,0,0,115,10,0, 0,0,8,3,4,2,8,8,8,3,8,8,114,181,0,0, 0,99,0,0,0,0,0,0,0,0,0,0,0,0,3,0, 0,0,64,0,0,0,115,74,0,0,0,101,0,90,1,100, @@ -1015,7 +1015,7 @@ const unsigned char _Py_M__importlib_external[] = { 218,7,73,79,69,114,114,111,114,41,2,114,104,0,0,0, 114,37,0,0,0,114,4,0,0,0,114,4,0,0,0,114, 6,0,0,0,218,10,112,97,116,104,95,109,116,105,109,101, - 173,2,0,0,115,2,0,0,0,0,6,122,23,83,111,117, + 174,2,0,0,115,2,0,0,0,0,6,122,23,83,111,117, 114,99,101,76,111,97,100,101,114,46,112,97,116,104,95,109, 116,105,109,101,99,2,0,0,0,0,0,0,0,2,0,0, 0,3,0,0,0,67,0,0,0,115,14,0,0,0,100,1, @@ -1050,7 +1050,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,41,1,114,193,0,0,0,41,2,114,104,0,0,0, 114,37,0,0,0,114,4,0,0,0,114,4,0,0,0,114, 6,0,0,0,218,10,112,97,116,104,95,115,116,97,116,115, - 181,2,0,0,115,2,0,0,0,0,11,122,23,83,111,117, + 182,2,0,0,115,2,0,0,0,0,11,122,23,83,111,117, 114,99,101,76,111,97,100,101,114,46,112,97,116,104,95,115, 116,97,116,115,99,4,0,0,0,0,0,0,0,4,0,0, 0,3,0,0,0,67,0,0,0,115,12,0,0,0,124,0, @@ -1073,7 +1073,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,104,0,0,0,114,94,0,0,0,90,10,99,97,99,104, 101,95,112,97,116,104,114,56,0,0,0,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,15,95,99,97,99, - 104,101,95,98,121,116,101,99,111,100,101,194,2,0,0,115, + 104,101,95,98,121,116,101,99,111,100,101,195,2,0,0,115, 2,0,0,0,0,8,122,28,83,111,117,114,99,101,76,111, 97,100,101,114,46,95,99,97,99,104,101,95,98,121,116,101, 99,111,100,101,99,3,0,0,0,0,0,0,0,3,0,0, @@ -1090,7 +1090,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,115,46,10,32,32,32,32,32,32,32,32,78,114,4,0, 0,0,41,3,114,104,0,0,0,114,37,0,0,0,114,56, 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,114,195,0,0,0,204,2,0,0,115,0,0,0,0, + 0,0,114,195,0,0,0,205,2,0,0,115,0,0,0,0, 122,21,83,111,117,114,99,101,76,111,97,100,101,114,46,115, 101,116,95,100,97,116,97,99,2,0,0,0,0,0,0,0, 5,0,0,0,16,0,0,0,67,0,0,0,115,82,0,0, @@ -1111,7 +1111,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,123,0,0,0,114,37,0,0,0,114,151,0, 0,0,218,3,101,120,99,114,4,0,0,0,114,4,0,0, 0,114,6,0,0,0,218,10,103,101,116,95,115,111,117,114, - 99,101,211,2,0,0,115,14,0,0,0,0,2,10,1,2, + 99,101,212,2,0,0,115,14,0,0,0,0,2,10,1,2, 1,14,1,16,1,4,1,28,1,122,23,83,111,117,114,99, 101,76,111,97,100,101,114,46,103,101,116,95,115,111,117,114, 99,101,114,31,0,0,0,41,1,218,9,95,111,112,116,105, @@ -1132,7 +1132,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,218,7,99,111,109,112,105,108,101,41,4,114,104,0,0, 0,114,56,0,0,0,114,37,0,0,0,114,200,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 14,115,111,117,114,99,101,95,116,111,95,99,111,100,101,221, + 14,115,111,117,114,99,101,95,116,111,95,99,111,100,101,222, 2,0,0,115,4,0,0,0,0,5,12,1,122,27,83,111, 117,114,99,101,76,111,97,100,101,114,46,115,111,117,114,99, 101,95,116,111,95,99,111,100,101,99,2,0,0,0,0,0, @@ -1189,7 +1189,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,56,0,0,0,218,10,98,121,116,101,115,95,100,97,116, 97,114,151,0,0,0,90,11,99,111,100,101,95,111,98,106, 101,99,116,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,114,184,0,0,0,229,2,0,0,115,78,0,0,0, + 0,0,114,184,0,0,0,230,2,0,0,115,78,0,0,0, 0,7,10,1,4,1,2,1,12,1,14,1,10,2,2,1, 14,1,14,1,6,2,12,1,2,1,14,1,14,1,6,2, 2,1,4,1,4,1,12,1,18,1,6,2,8,1,6,1, @@ -1201,7 +1201,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,194,0,0,0,114,196,0,0,0,114,195,0,0,0, 114,199,0,0,0,114,203,0,0,0,114,184,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,191,0,0,0,171,2,0,0,115,14,0,0, + 0,0,0,114,191,0,0,0,172,2,0,0,115,14,0,0, 0,8,2,8,8,8,13,8,10,8,7,8,10,14,8,114, 191,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, 0,4,0,0,0,0,0,0,0,115,80,0,0,0,101,0, @@ -1228,7 +1228,7 @@ const unsigned char _Py_M__importlib_external[] = { 2,114,102,0,0,0,114,37,0,0,0,41,3,114,104,0, 0,0,114,123,0,0,0,114,37,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,114,182,0,0,0, - 30,3,0,0,115,4,0,0,0,0,3,6,1,122,19,70, + 31,3,0,0,115,4,0,0,0,0,3,6,1,122,19,70, 105,108,101,76,111,97,100,101,114,46,95,95,105,110,105,116, 95,95,99,2,0,0,0,0,0,0,0,2,0,0,0,2, 0,0,0,67,0,0,0,115,24,0,0,0,124,0,106,0, @@ -1236,7 +1236,7 @@ const unsigned char _Py_M__importlib_external[] = { 107,2,83,0,41,1,78,41,2,218,9,95,95,99,108,97, 115,115,95,95,114,115,0,0,0,41,2,114,104,0,0,0, 218,5,111,116,104,101,114,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,218,6,95,95,101,113,95,95,36,3, + 0,114,6,0,0,0,218,6,95,95,101,113,95,95,37,3, 0,0,115,4,0,0,0,0,1,12,1,122,17,70,105,108, 101,76,111,97,100,101,114,46,95,95,101,113,95,95,99,1, 0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,67, @@ -1245,7 +1245,7 @@ const unsigned char _Py_M__importlib_external[] = { 3,218,4,104,97,115,104,114,102,0,0,0,114,37,0,0, 0,41,1,114,104,0,0,0,114,4,0,0,0,114,4,0, 0,0,114,6,0,0,0,218,8,95,95,104,97,115,104,95, - 95,40,3,0,0,115,2,0,0,0,0,1,122,19,70,105, + 95,41,3,0,0,115,2,0,0,0,0,1,122,19,70,105, 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, 0,0,3,0,0,0,115,16,0,0,0,116,0,116,1,124, @@ -1259,7 +1259,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,41,3,218,5,115,117,112,101,114,114,207,0,0, 0,114,190,0,0,0,41,2,114,104,0,0,0,114,123,0, 0,0,41,1,114,208,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,190,0,0,0,43,3,0,0,115,2,0,0, + 0,0,0,114,190,0,0,0,44,3,0,0,115,2,0,0, 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, @@ -1270,7 +1270,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,32,102,105,110,100,101,114,46,41,1,114,37,0,0,0, 41,2,114,104,0,0,0,114,123,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,114,155,0,0,0, - 55,3,0,0,115,2,0,0,0,0,3,122,23,70,105,108, + 56,3,0,0,115,2,0,0,0,0,3,122,23,70,105,108, 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, 0,9,0,0,0,67,0,0,0,115,32,0,0,0,116,0, @@ -1282,7 +1282,7 @@ const unsigned char _Py_M__importlib_external[] = { 52,0,0,0,114,53,0,0,0,90,4,114,101,97,100,41, 3,114,104,0,0,0,114,37,0,0,0,114,57,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,114, - 197,0,0,0,60,3,0,0,115,4,0,0,0,0,2,14, + 197,0,0,0,61,3,0,0,115,4,0,0,0,0,2,14, 1,122,19,70,105,108,101,76,111,97,100,101,114,46,103,101, 116,95,100,97,116,97,78,41,12,114,109,0,0,0,114,108, 0,0,0,114,110,0,0,0,114,111,0,0,0,114,182,0, @@ -1290,7 +1290,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,190,0,0,0,114,155,0,0,0,114,197,0,0,0, 90,13,95,95,99,108,97,115,115,99,101,108,108,95,95,114, 4,0,0,0,114,4,0,0,0,41,1,114,208,0,0,0, - 114,6,0,0,0,114,207,0,0,0,25,3,0,0,115,14, + 114,6,0,0,0,114,207,0,0,0,26,3,0,0,115,14, 0,0,0,8,3,4,2,8,6,8,4,8,3,16,12,12, 5,114,207,0,0,0,99,0,0,0,0,0,0,0,0,0, 0,0,0,3,0,0,0,64,0,0,0,115,46,0,0,0, @@ -1312,7 +1312,7 @@ const unsigned char _Py_M__importlib_external[] = { 116,105,109,101,90,7,115,116,95,115,105,122,101,41,3,114, 104,0,0,0,114,37,0,0,0,114,205,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,194,0, - 0,0,70,3,0,0,115,4,0,0,0,0,2,8,1,122, + 0,0,71,3,0,0,115,4,0,0,0,0,2,8,1,122, 27,83,111,117,114,99,101,70,105,108,101,76,111,97,100,101, 114,46,112,97,116,104,95,115,116,97,116,115,99,4,0,0, 0,0,0,0,0,5,0,0,0,5,0,0,0,67,0,0, @@ -1322,7 +1322,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,195,0,0,0,41,5,114,104,0,0,0,114,94,0, 0,0,114,93,0,0,0,114,56,0,0,0,114,44,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 114,196,0,0,0,75,3,0,0,115,4,0,0,0,0,2, + 114,196,0,0,0,76,3,0,0,115,4,0,0,0,0,2, 8,1,122,32,83,111,117,114,99,101,70,105,108,101,76,111, 97,100,101,114,46,95,99,97,99,104,101,95,98,121,116,101, 99,111,100,101,105,182,1,0,0,41,1,114,217,0,0,0, @@ -1357,7 +1357,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,218,6,112,97,114,101,110,116,114,98,0,0,0,114,29, 0,0,0,114,25,0,0,0,114,198,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,195,0,0, - 0,80,3,0,0,115,42,0,0,0,0,2,12,1,4,2, + 0,81,3,0,0,115,42,0,0,0,0,2,12,1,4,2, 16,1,12,1,14,2,14,1,10,1,2,1,14,1,14,2, 6,1,16,3,6,1,8,1,20,1,2,1,12,1,16,1, 16,2,8,1,122,25,83,111,117,114,99,101,70,105,108,101, @@ -1365,7 +1365,7 @@ const unsigned char _Py_M__importlib_external[] = { 41,7,114,109,0,0,0,114,108,0,0,0,114,110,0,0, 0,114,111,0,0,0,114,194,0,0,0,114,196,0,0,0, 114,195,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,215,0,0,0,66,3, + 4,0,0,0,114,6,0,0,0,114,215,0,0,0,67,3, 0,0,115,8,0,0,0,8,2,4,2,8,5,8,5,114, 215,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, 0,2,0,0,0,64,0,0,0,115,32,0,0,0,101,0, @@ -1385,7 +1385,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,197,0,0,0,114,139,0,0,0,114,145,0,0,0, 41,5,114,104,0,0,0,114,123,0,0,0,114,37,0,0, 0,114,56,0,0,0,114,206,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,184,0,0,0,115, + 114,4,0,0,0,114,6,0,0,0,114,184,0,0,0,116, 3,0,0,115,8,0,0,0,0,1,10,1,10,1,14,1, 122,29,83,111,117,114,99,101,108,101,115,115,70,105,108,101, 76,111,97,100,101,114,46,103,101,116,95,99,111,100,101,99, @@ -1395,14 +1395,14 @@ const unsigned char _Py_M__importlib_external[] = { 116,104,101,114,101,32,105,115,32,110,111,32,115,111,117,114, 99,101,32,99,111,100,101,46,78,114,4,0,0,0,41,2, 114,104,0,0,0,114,123,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,199,0,0,0,121,3, + 4,0,0,0,114,6,0,0,0,114,199,0,0,0,122,3, 0,0,115,2,0,0,0,0,2,122,31,83,111,117,114,99, 101,108,101,115,115,70,105,108,101,76,111,97,100,101,114,46, 103,101,116,95,115,111,117,114,99,101,78,41,6,114,109,0, 0,0,114,108,0,0,0,114,110,0,0,0,114,111,0,0, 0,114,184,0,0,0,114,199,0,0,0,114,4,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,114, - 220,0,0,0,111,3,0,0,115,6,0,0,0,8,2,4, + 220,0,0,0,112,3,0,0,115,6,0,0,0,8,2,4, 2,8,6,114,220,0,0,0,99,0,0,0,0,0,0,0, 0,0,0,0,0,3,0,0,0,64,0,0,0,115,92,0, 0,0,101,0,90,1,100,0,90,2,100,1,90,3,100,2, @@ -1424,7 +1424,7 @@ const unsigned char _Py_M__importlib_external[] = { 78,41,2,114,102,0,0,0,114,37,0,0,0,41,3,114, 104,0,0,0,114,102,0,0,0,114,37,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,182,0, - 0,0,138,3,0,0,115,4,0,0,0,0,1,6,1,122, + 0,0,139,3,0,0,115,4,0,0,0,0,1,6,1,122, 28,69,120,116,101,110,115,105,111,110,70,105,108,101,76,111, 97,100,101,114,46,95,95,105,110,105,116,95,95,99,2,0, 0,0,0,0,0,0,2,0,0,0,2,0,0,0,67,0, @@ -1432,7 +1432,7 @@ const unsigned char _Py_M__importlib_external[] = { 2,111,22,124,0,106,1,124,1,106,1,107,2,83,0,41, 1,78,41,2,114,208,0,0,0,114,115,0,0,0,41,2, 114,104,0,0,0,114,209,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,210,0,0,0,142,3, + 4,0,0,0,114,6,0,0,0,114,210,0,0,0,143,3, 0,0,115,4,0,0,0,0,1,12,1,122,26,69,120,116, 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, @@ -1441,7 +1441,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,65,0,83,0,41,1,78,41,3,114,211,0,0,0,114, 102,0,0,0,114,37,0,0,0,41,1,114,104,0,0,0, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,114, - 212,0,0,0,146,3,0,0,115,2,0,0,0,0,1,122, + 212,0,0,0,147,3,0,0,115,2,0,0,0,0,1,122, 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, @@ -1458,7 +1458,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,102,0,0,0,114,37,0,0,0,41,3,114, 104,0,0,0,114,162,0,0,0,114,187,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,183,0, - 0,0,149,3,0,0,115,10,0,0,0,0,2,4,1,10, + 0,0,150,3,0,0,115,10,0,0,0,0,2,4,1,10, 1,6,1,12,1,122,33,69,120,116,101,110,115,105,111,110, 70,105,108,101,76,111,97,100,101,114,46,99,114,101,97,116, 101,95,109,111,100,117,108,101,99,2,0,0,0,0,0,0, @@ -1475,7 +1475,7 @@ const unsigned char _Py_M__importlib_external[] = { 105,99,114,133,0,0,0,114,102,0,0,0,114,37,0,0, 0,41,2,114,104,0,0,0,114,187,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,188,0,0, - 0,157,3,0,0,115,6,0,0,0,0,2,14,1,6,1, + 0,158,3,0,0,115,6,0,0,0,0,2,14,1,6,1, 122,31,69,120,116,101,110,115,105,111,110,70,105,108,101,76, 111,97,100,101,114,46,101,120,101,99,95,109,111,100,117,108, 101,99,2,0,0,0,0,0,0,0,2,0,0,0,4,0, @@ -1492,7 +1492,7 @@ const unsigned char _Py_M__importlib_external[] = { 182,0,0,0,78,114,4,0,0,0,41,2,114,24,0,0, 0,218,6,115,117,102,102,105,120,41,1,218,9,102,105,108, 101,95,110,97,109,101,114,4,0,0,0,114,6,0,0,0, - 250,9,60,103,101,110,101,120,112,114,62,166,3,0,0,115, + 250,9,60,103,101,110,101,120,112,114,62,167,3,0,0,115, 2,0,0,0,4,1,122,49,69,120,116,101,110,115,105,111, 110,70,105,108,101,76,111,97,100,101,114,46,105,115,95,112, 97,99,107,97,103,101,46,60,108,111,99,97,108,115,62,46, @@ -1501,7 +1501,7 @@ const unsigned char _Py_M__importlib_external[] = { 78,83,73,79,78,95,83,85,70,70,73,88,69,83,41,2, 114,104,0,0,0,114,123,0,0,0,114,4,0,0,0,41, 1,114,223,0,0,0,114,6,0,0,0,114,157,0,0,0, - 163,3,0,0,115,6,0,0,0,0,2,14,1,12,1,122, + 164,3,0,0,115,6,0,0,0,0,2,14,1,12,1,122, 30,69,120,116,101,110,115,105,111,110,70,105,108,101,76,111, 97,100,101,114,46,105,115,95,112,97,99,107,97,103,101,99, 2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0, @@ -1512,7 +1512,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,32,97,32,99,111,100,101,32,111,98,106,101,99,116,46, 78,114,4,0,0,0,41,2,114,104,0,0,0,114,123,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,184,0,0,0,169,3,0,0,115,2,0,0,0,0, + 0,114,184,0,0,0,170,3,0,0,115,2,0,0,0,0, 2,122,28,69,120,116,101,110,115,105,111,110,70,105,108,101, 76,111,97,100,101,114,46,103,101,116,95,99,111,100,101,99, 2,0,0,0,0,0,0,0,2,0,0,0,1,0,0,0, @@ -1522,7 +1522,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,32,104,97,118,101,32,110,111,32,115,111,117,114,99,101, 32,99,111,100,101,46,78,114,4,0,0,0,41,2,114,104, 0,0,0,114,123,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,199,0,0,0,173,3,0,0, + 0,0,114,6,0,0,0,114,199,0,0,0,174,3,0,0, 115,2,0,0,0,0,2,122,30,69,120,116,101,110,115,105, 111,110,70,105,108,101,76,111,97,100,101,114,46,103,101,116, 95,115,111,117,114,99,101,99,2,0,0,0,0,0,0,0, @@ -1533,7 +1533,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,102,111,117,110,100,32,98,121,32,116,104,101,32,102,105, 110,100,101,114,46,41,1,114,37,0,0,0,41,2,114,104, 0,0,0,114,123,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,155,0,0,0,177,3,0,0, + 0,0,114,6,0,0,0,114,155,0,0,0,178,3,0,0, 115,2,0,0,0,0,3,122,32,69,120,116,101,110,115,105, 111,110,70,105,108,101,76,111,97,100,101,114,46,103,101,116, 95,102,105,108,101,110,97,109,101,78,41,14,114,109,0,0, @@ -1542,7 +1542,7 @@ const unsigned char _Py_M__importlib_external[] = { 183,0,0,0,114,188,0,0,0,114,157,0,0,0,114,184, 0,0,0,114,199,0,0,0,114,120,0,0,0,114,155,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,221,0,0,0,130,3,0,0,115, + 0,114,6,0,0,0,114,221,0,0,0,131,3,0,0,115, 20,0,0,0,8,6,4,2,8,4,8,4,8,3,8,8, 8,6,8,6,8,4,8,4,114,221,0,0,0,99,0,0, 0,0,0,0,0,0,0,0,0,0,2,0,0,0,64,0, @@ -1583,7 +1583,7 @@ const unsigned char _Py_M__importlib_external[] = { 12,95,112,97,116,104,95,102,105,110,100,101,114,41,4,114, 104,0,0,0,114,102,0,0,0,114,37,0,0,0,218,11, 112,97,116,104,95,102,105,110,100,101,114,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,182,0,0,0,190, + 114,4,0,0,0,114,6,0,0,0,114,182,0,0,0,191, 3,0,0,115,8,0,0,0,0,1,6,1,6,1,14,1, 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, @@ -1601,7 +1601,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,41,4,114,104,0,0,0,114,219,0,0,0,218,3,100, 111,116,90,2,109,101,114,4,0,0,0,114,4,0,0,0, 114,6,0,0,0,218,23,95,102,105,110,100,95,112,97,114, - 101,110,116,95,112,97,116,104,95,110,97,109,101,115,196,3, + 101,110,116,95,112,97,116,104,95,110,97,109,101,115,197,3, 0,0,115,8,0,0,0,0,2,18,1,8,2,4,3,122, 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, @@ -1614,7 +1614,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, - 6,0,0,0,114,230,0,0,0,206,3,0,0,115,4,0, + 6,0,0,0,114,230,0,0,0,207,3,0,0,115,4,0, 0,0,0,1,12,1,122,31,95,78,97,109,101,115,112,97, 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, @@ -1630,7 +1630,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,104,0,0,0,90,11,112,97,114,101,110,116,95,112,97, 116,104,114,162,0,0,0,114,4,0,0,0,114,4,0,0, 0,114,6,0,0,0,218,12,95,114,101,99,97,108,99,117, - 108,97,116,101,210,3,0,0,115,16,0,0,0,0,2,12, + 108,97,116,101,211,3,0,0,115,16,0,0,0,0,2,12, 1,10,1,14,3,18,1,6,1,8,1,6,1,122,27,95, 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, @@ -1639,7 +1639,7 @@ const unsigned char _Py_M__importlib_external[] = { 41,1,78,41,2,218,4,105,116,101,114,114,237,0,0,0, 41,1,114,104,0,0,0,114,4,0,0,0,114,4,0,0, 0,114,6,0,0,0,218,8,95,95,105,116,101,114,95,95, - 223,3,0,0,115,2,0,0,0,0,1,122,23,95,78,97, + 224,3,0,0,115,2,0,0,0,0,1,122,23,95,78,97, 109,101,115,112,97,99,101,80,97,116,104,46,95,95,105,116, 101,114,95,95,99,3,0,0,0,0,0,0,0,3,0,0, 0,3,0,0,0,67,0,0,0,115,14,0,0,0,124,2, @@ -1647,7 +1647,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,114,229,0,0,0,41,3,114,104,0,0,0,218,5,105, 110,100,101,120,114,37,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,6,0,0,0,218,11,95,95,115,101,116,105, - 116,101,109,95,95,226,3,0,0,115,2,0,0,0,0,1, + 116,101,109,95,95,227,3,0,0,115,2,0,0,0,0,1, 122,26,95,78,97,109,101,115,112,97,99,101,80,97,116,104, 46,95,95,115,101,116,105,116,101,109,95,95,99,1,0,0, 0,0,0,0,0,1,0,0,0,2,0,0,0,67,0,0, @@ -1655,7 +1655,7 @@ const unsigned char _Py_M__importlib_external[] = { 83,0,41,1,78,41,2,114,33,0,0,0,114,237,0,0, 0,41,1,114,104,0,0,0,114,4,0,0,0,114,4,0, 0,0,114,6,0,0,0,218,7,95,95,108,101,110,95,95, - 229,3,0,0,115,2,0,0,0,0,1,122,22,95,78,97, + 230,3,0,0,115,2,0,0,0,0,1,122,22,95,78,97, 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, 2,0,0,0,67,0,0,0,115,12,0,0,0,100,1,106, @@ -1663,7 +1663,7 @@ const unsigned char _Py_M__importlib_external[] = { 97,109,101,115,112,97,99,101,80,97,116,104,40,123,33,114, 125,41,41,2,114,50,0,0,0,114,229,0,0,0,41,1, 114,104,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,218,8,95,95,114,101,112,114,95,95,232,3, + 6,0,0,0,218,8,95,95,114,101,112,114,95,95,233,3, 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, @@ -1671,7 +1671,7 @@ const unsigned char _Py_M__importlib_external[] = { 106,0,131,0,107,6,83,0,41,1,78,41,1,114,237,0, 0,0,41,2,114,104,0,0,0,218,4,105,116,101,109,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,12, - 95,95,99,111,110,116,97,105,110,115,95,95,235,3,0,0, + 95,95,99,111,110,116,97,105,110,115,95,95,236,3,0,0, 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, @@ -1679,7 +1679,7 @@ const unsigned char _Py_M__importlib_external[] = { 106,0,106,1,124,1,131,1,1,0,100,0,83,0,41,1, 78,41,2,114,229,0,0,0,114,161,0,0,0,41,2,114, 104,0,0,0,114,244,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,161,0,0,0,238,3,0, + 0,0,0,114,6,0,0,0,114,161,0,0,0,239,3,0, 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, 41,14,114,109,0,0,0,114,108,0,0,0,114,110,0,0, @@ -1688,7 +1688,7 @@ const unsigned char _Py_M__importlib_external[] = { 241,0,0,0,114,242,0,0,0,114,243,0,0,0,114,245, 0,0,0,114,161,0,0,0,114,4,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,227,0,0, - 0,183,3,0,0,115,22,0,0,0,8,5,4,2,8,6, + 0,184,3,0,0,115,22,0,0,0,8,5,4,2,8,6, 8,10,8,4,8,13,8,3,8,3,8,3,8,3,8,3, 114,227,0,0,0,99,0,0,0,0,0,0,0,0,0,0, 0,0,3,0,0,0,64,0,0,0,115,80,0,0,0,101, @@ -1704,7 +1704,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,78,41,2,114,227,0,0,0,114,229,0,0,0,41,4, 114,104,0,0,0,114,102,0,0,0,114,37,0,0,0,114, 233,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,182,0,0,0,244,3,0,0,115,2,0,0, + 0,0,0,114,182,0,0,0,245,3,0,0,115,2,0,0, 0,0,1,122,25,95,78,97,109,101,115,112,97,99,101,76, 111,97,100,101,114,46,95,95,105,110,105,116,95,95,99,2, 0,0,0,0,0,0,0,2,0,0,0,2,0,0,0,67, @@ -1721,21 +1721,21 @@ const unsigned char _Py_M__importlib_external[] = { 112,97,99,101,41,62,41,2,114,50,0,0,0,114,109,0, 0,0,41,2,114,168,0,0,0,114,187,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,218,11,109, - 111,100,117,108,101,95,114,101,112,114,247,3,0,0,115,2, + 111,100,117,108,101,95,114,101,112,114,248,3,0,0,115,2, 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, 1,0,0,0,67,0,0,0,115,4,0,0,0,100,1,83, 0,41,2,78,84,114,4,0,0,0,41,2,114,104,0,0, 0,114,123,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,157,0,0,0,0,4,0,0,115,2, + 114,6,0,0,0,114,157,0,0,0,1,4,0,0,115,2, 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, 0,0,0,67,0,0,0,115,4,0,0,0,100,1,83,0, 41,2,78,114,32,0,0,0,114,4,0,0,0,41,2,114, 104,0,0,0,114,123,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,199,0,0,0,3,4,0, + 0,0,0,114,6,0,0,0,114,199,0,0,0,4,4,0, 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, @@ -1745,7 +1745,7 @@ const unsigned char _Py_M__importlib_external[] = { 62,114,186,0,0,0,84,41,1,114,201,0,0,0,41,1, 114,202,0,0,0,41,2,114,104,0,0,0,114,123,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 114,184,0,0,0,6,4,0,0,115,2,0,0,0,0,1, + 114,184,0,0,0,7,4,0,0,115,2,0,0,0,0,1, 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, @@ -1754,14 +1754,14 @@ const unsigned char _Py_M__importlib_external[] = { 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, 104,0,0,0,114,162,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,183,0,0,0,9,4,0, + 0,0,0,114,6,0,0,0,114,183,0,0,0,10,4,0, 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, 100,0,83,0,41,1,78,114,4,0,0,0,41,2,114,104, 0,0,0,114,187,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,188,0,0,0,12,4,0,0, + 0,0,114,6,0,0,0,114,188,0,0,0,13,4,0,0, 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, @@ -1779,7 +1779,7 @@ const unsigned char _Py_M__importlib_external[] = { 116,104,32,123,33,114,125,41,4,114,118,0,0,0,114,133, 0,0,0,114,229,0,0,0,114,189,0,0,0,41,2,114, 104,0,0,0,114,123,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,190,0,0,0,15,4,0, + 0,0,0,114,6,0,0,0,114,190,0,0,0,16,4,0, 0,115,6,0,0,0,0,7,6,1,8,1,122,28,95,78, 97,109,101,115,112,97,99,101,76,111,97,100,101,114,46,108, 111,97,100,95,109,111,100,117,108,101,78,41,12,114,109,0, @@ -1788,7 +1788,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,199,0,0,0,114,184,0,0,0,114,183,0,0,0,114, 188,0,0,0,114,190,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,246,0, - 0,0,243,3,0,0,115,16,0,0,0,8,1,8,3,12, + 0,0,244,3,0,0,115,16,0,0,0,8,1,8,3,12, 9,8,3,8,3,8,3,8,3,8,3,114,246,0,0,0, 99,0,0,0,0,0,0,0,0,0,0,0,0,4,0,0, 0,64,0,0,0,115,106,0,0,0,101,0,90,1,100,0, @@ -1821,7 +1821,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,95,99,97,99,104,101,218,6,118,97,108,117,101,115,114, 112,0,0,0,114,249,0,0,0,41,2,114,168,0,0,0, 218,6,102,105,110,100,101,114,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,249,0,0,0,33,4,0,0, + 0,0,114,6,0,0,0,114,249,0,0,0,34,4,0,0, 115,6,0,0,0,0,4,16,1,10,1,122,28,80,97,116, 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, @@ -1841,7 +1841,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,114,122,0,0,0,114,103,0,0,0,41,3,114,168, 0,0,0,114,37,0,0,0,90,4,104,111,111,107,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,218,11,95, - 112,97,116,104,95,104,111,111,107,115,41,4,0,0,115,16, + 112,97,116,104,95,104,111,111,107,115,42,4,0,0,115,16, 0,0,0,0,3,18,1,12,1,12,1,2,1,8,1,14, 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, @@ -1873,7 +1873,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,37,0,0,0,114,252,0,0,0,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,20,95,112,97,116, 104,95,105,109,112,111,114,116,101,114,95,99,97,99,104,101, - 54,4,0,0,115,22,0,0,0,0,8,8,1,2,1,12, + 55,4,0,0,115,22,0,0,0,0,8,8,1,2,1,12, 1,14,3,6,1,2,1,14,1,14,1,10,1,16,1,122, 31,80,97,116,104,70,105,110,100,101,114,46,95,112,97,116, 104,95,105,109,112,111,114,116,101,114,95,99,97,99,104,101, @@ -1890,7 +1890,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,123,0,0,0,114,252,0,0,0,114,124,0,0,0,114, 125,0,0,0,114,162,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,6,0,0,0,218,16,95,108,101,103,97,99, - 121,95,103,101,116,95,115,112,101,99,76,4,0,0,115,18, + 121,95,103,101,116,95,115,112,101,99,77,4,0,0,115,18, 0,0,0,0,4,10,1,16,2,10,1,4,1,8,1,12, 1,12,1,6,1,122,27,80,97,116,104,70,105,110,100,101, 114,46,95,108,101,103,97,99,121,95,103,101,116,95,115,112, @@ -1922,7 +1922,7 @@ const unsigned char _Py_M__importlib_external[] = { 90,5,101,110,116,114,121,114,252,0,0,0,114,162,0,0, 0,114,125,0,0,0,114,4,0,0,0,114,4,0,0,0, 114,6,0,0,0,218,9,95,103,101,116,95,115,112,101,99, - 91,4,0,0,115,40,0,0,0,0,5,4,1,10,1,14, + 92,4,0,0,115,40,0,0,0,0,5,4,1,10,1,14, 1,2,1,10,1,8,1,10,1,14,2,12,1,8,1,2, 1,10,1,4,1,6,1,8,1,8,5,14,2,12,1,6, 1,122,20,80,97,116,104,70,105,110,100,101,114,46,95,103, @@ -1949,7 +1949,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,156,0,0,0,114,227,0,0,0,41,6,114,168,0, 0,0,114,123,0,0,0,114,37,0,0,0,114,177,0,0, 0,114,162,0,0,0,114,3,1,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,178,0,0,0,123, + 114,4,0,0,0,114,6,0,0,0,114,178,0,0,0,124, 4,0,0,115,26,0,0,0,0,6,8,1,6,1,14,1, 8,1,6,1,10,1,6,1,4,3,6,1,16,1,6,2, 6,2,122,20,80,97,116,104,70,105,110,100,101,114,46,102, @@ -1971,7 +1971,7 @@ const unsigned char _Py_M__importlib_external[] = { 2,114,178,0,0,0,114,124,0,0,0,41,4,114,168,0, 0,0,114,123,0,0,0,114,37,0,0,0,114,162,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 114,179,0,0,0,147,4,0,0,115,8,0,0,0,0,8, + 114,179,0,0,0,148,4,0,0,115,8,0,0,0,0,8, 12,1,8,1,4,1,122,22,80,97,116,104,70,105,110,100, 101,114,46,102,105,110,100,95,109,111,100,117,108,101,41,1, 78,41,2,78,78,41,1,78,41,12,114,109,0,0,0,114, @@ -1979,7 +1979,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,249,0,0,0,114,254,0,0,0,114,0,1, 0,0,114,1,1,0,0,114,4,1,0,0,114,178,0,0, 0,114,179,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,248,0,0,0,29, + 114,4,0,0,0,114,6,0,0,0,114,248,0,0,0,30, 4,0,0,115,22,0,0,0,8,2,4,2,12,8,12,13, 12,22,12,15,2,1,12,31,2,1,12,23,2,1,114,248, 0,0,0,99,0,0,0,0,0,0,0,0,0,0,0,0, @@ -2023,7 +2023,7 @@ const unsigned char _Py_M__importlib_external[] = { 14,125,1,124,1,136,0,102,2,86,0,1,0,113,2,100, 0,83,0,41,1,78,114,4,0,0,0,41,2,114,24,0, 0,0,114,222,0,0,0,41,1,114,124,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,224,0,0,0,176,4,0, + 0,0,0,114,6,0,0,0,114,224,0,0,0,177,4,0, 0,115,2,0,0,0,4,0,122,38,70,105,108,101,70,105, 110,100,101,114,46,95,95,105,110,105,116,95,95,46,60,108, 111,99,97,108,115,62,46,60,103,101,110,101,120,112,114,62, @@ -2036,7 +2036,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,37,0,0,0,218,14,108,111,97,100,101,114,95,100, 101,116,97,105,108,115,90,7,108,111,97,100,101,114,115,114, 164,0,0,0,114,4,0,0,0,41,1,114,124,0,0,0, - 114,6,0,0,0,114,182,0,0,0,170,4,0,0,115,16, + 114,6,0,0,0,114,182,0,0,0,171,4,0,0,115,16, 0,0,0,0,4,4,1,14,1,28,1,6,2,10,1,6, 1,8,1,122,19,70,105,108,101,70,105,110,100,101,114,46, 95,95,105,110,105,116,95,95,99,1,0,0,0,0,0,0, @@ -2046,7 +2046,7 @@ const unsigned char _Py_M__importlib_external[] = { 105,114,101,99,116,111,114,121,32,109,116,105,109,101,46,114, 31,0,0,0,78,114,91,0,0,0,41,1,114,7,1,0, 0,41,1,114,104,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,249,0,0,0,184,4,0,0, + 0,0,114,6,0,0,0,114,249,0,0,0,185,4,0,0, 115,2,0,0,0,0,2,122,28,70,105,108,101,70,105,110, 100,101,114,46,105,110,118,97,108,105,100,97,116,101,95,99, 97,99,104,101,115,99,2,0,0,0,0,0,0,0,3,0, @@ -2069,7 +2069,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,78,41,3,114,178,0,0,0,114,124,0,0,0,114, 154,0,0,0,41,3,114,104,0,0,0,114,123,0,0,0, 114,162,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,121,0,0,0,190,4,0,0,115,8,0, + 6,0,0,0,114,121,0,0,0,191,4,0,0,115,8,0, 0,0,0,7,10,1,8,1,8,1,122,22,70,105,108,101, 70,105,110,100,101,114,46,102,105,110,100,95,108,111,97,100, 101,114,99,6,0,0,0,0,0,0,0,7,0,0,0,6, @@ -2080,7 +2080,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,163,0,0,0,114,123,0,0,0,114,37,0, 0,0,90,4,115,109,115,108,114,177,0,0,0,114,124,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,4,1,0,0,202,4,0,0,115,6,0,0,0,0, + 0,114,4,1,0,0,203,4,0,0,115,6,0,0,0,0, 1,10,1,8,1,122,20,70,105,108,101,70,105,110,100,101, 114,46,95,103,101,116,95,115,112,101,99,78,99,3,0,0, 0,0,0,0,0,14,0,0,0,15,0,0,0,67,0,0, @@ -2134,7 +2134,7 @@ const unsigned char _Py_M__importlib_external[] = { 116,104,114,222,0,0,0,114,163,0,0,0,90,13,105,110, 105,116,95,102,105,108,101,110,97,109,101,90,9,102,117,108, 108,95,112,97,116,104,114,162,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,178,0,0,0,207, + 114,4,0,0,0,114,6,0,0,0,114,178,0,0,0,208, 4,0,0,115,70,0,0,0,0,5,4,1,14,1,2,1, 24,1,14,1,10,1,10,1,8,1,6,2,6,1,6,1, 10,2,6,1,4,2,8,1,12,1,16,1,8,1,10,1, @@ -2166,7 +2166,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,146,2,113,4,83,0,114,4,0,0,0,41,1,114,92, 0,0,0,41,2,114,24,0,0,0,90,2,102,110,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,250,9,60, - 115,101,116,99,111,109,112,62,28,5,0,0,115,2,0,0, + 115,101,116,99,111,109,112,62,29,5,0,0,115,2,0,0, 0,6,0,122,41,70,105,108,101,70,105,110,100,101,114,46, 95,102,105,108,108,95,99,97,99,104,101,46,60,108,111,99, 97,108,115,62,46,60,115,101,116,99,111,109,112,62,78,41, @@ -2183,7 +2183,7 @@ const unsigned char _Py_M__importlib_external[] = { 111,110,116,101,110,116,115,114,244,0,0,0,114,102,0,0, 0,114,234,0,0,0,114,222,0,0,0,90,8,110,101,119, 95,110,97,109,101,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,12,1,0,0,255,4,0,0,115,34,0, + 6,0,0,0,114,12,1,0,0,0,5,0,0,115,34,0, 0,0,0,2,6,1,2,1,22,1,20,3,10,3,12,1, 12,7,6,1,10,1,16,1,4,1,18,2,4,1,14,1, 6,1,12,1,122,22,70,105,108,101,70,105,110,100,101,114, @@ -2211,7 +2211,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,99,1,0,0,0,0,0,0,0,1,0,0,0, 4,0,0,0,19,0,0,0,115,34,0,0,0,116,0,124, 0,131,1,115,20,116,1,100,1,124,0,100,2,141,2,130, - 1,136,0,124,0,102,1,136,1,152,2,142,0,83,0,41, + 1,136,0,124,0,102,1,136,1,158,2,142,0,83,0,41, 3,122,45,80,97,116,104,32,104,111,111,107,32,102,111,114, 32,105,109,112,111,114,116,108,105,98,46,109,97,99,104,105, 110,101,114,121,46,70,105,108,101,70,105,110,100,101,114,46, @@ -2221,7 +2221,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,41,1,114,37,0,0,0,41,2,114,168,0,0, 0,114,11,1,0,0,114,4,0,0,0,114,6,0,0,0, 218,24,112,97,116,104,95,104,111,111,107,95,102,111,114,95, - 70,105,108,101,70,105,110,100,101,114,40,5,0,0,115,6, + 70,105,108,101,70,105,110,100,101,114,41,5,0,0,115,6, 0,0,0,0,2,8,1,12,1,122,54,70,105,108,101,70, 105,110,100,101,114,46,112,97,116,104,95,104,111,111,107,46, 60,108,111,99,97,108,115,62,46,112,97,116,104,95,104,111, @@ -2229,7 +2229,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,114,4,0,0,0,41,3,114,168,0,0,0,114,11,1, 0,0,114,17,1,0,0,114,4,0,0,0,41,2,114,168, 0,0,0,114,11,1,0,0,114,6,0,0,0,218,9,112, - 97,116,104,95,104,111,111,107,30,5,0,0,115,4,0,0, + 97,116,104,95,104,111,111,107,31,5,0,0,115,4,0,0, 0,0,10,14,6,122,20,70,105,108,101,70,105,110,100,101, 114,46,112,97,116,104,95,104,111,111,107,99,1,0,0,0, 0,0,0,0,1,0,0,0,2,0,0,0,67,0,0,0, @@ -2237,7 +2237,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,41,2,78,122,16,70,105,108,101,70,105,110,100,101,114, 40,123,33,114,125,41,41,2,114,50,0,0,0,114,37,0, 0,0,41,1,114,104,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,114,243,0,0,0,48,5,0, + 0,0,0,114,6,0,0,0,114,243,0,0,0,49,5,0, 0,115,2,0,0,0,0,1,122,19,70,105,108,101,70,105, 110,100,101,114,46,95,95,114,101,112,114,95,95,41,1,78, 41,15,114,109,0,0,0,114,108,0,0,0,114,110,0,0, @@ -2246,7 +2246,7 @@ const unsigned char _Py_M__importlib_external[] = { 4,1,0,0,114,178,0,0,0,114,12,1,0,0,114,180, 0,0,0,114,18,1,0,0,114,243,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,5,1,0,0,161,4,0,0,115,20,0,0,0,8, + 0,114,5,1,0,0,162,4,0,0,115,20,0,0,0,8, 7,4,2,8,14,8,4,4,2,8,12,8,5,10,48,8, 31,12,18,114,5,1,0,0,99,4,0,0,0,0,0,0, 0,6,0,0,0,11,0,0,0,67,0,0,0,115,146,0, @@ -2269,7 +2269,7 @@ const unsigned char _Py_M__importlib_external[] = { 104,110,97,109,101,90,9,99,112,97,116,104,110,97,109,101, 114,124,0,0,0,114,162,0,0,0,114,4,0,0,0,114, 4,0,0,0,114,6,0,0,0,218,14,95,102,105,120,95, - 117,112,95,109,111,100,117,108,101,54,5,0,0,115,34,0, + 117,112,95,109,111,100,117,108,101,55,5,0,0,115,34,0, 0,0,0,2,10,1,10,1,4,1,4,1,8,1,8,1, 12,2,10,1,4,1,14,1,2,1,8,1,8,1,8,1, 12,1,14,2,114,23,1,0,0,99,0,0,0,0,0,0, @@ -2289,7 +2289,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,114, - 159,0,0,0,77,5,0,0,115,8,0,0,0,0,5,12, + 159,0,0,0,78,5,0,0,115,8,0,0,0,0,5,12, 1,8,1,8,1,114,159,0,0,0,99,1,0,0,0,0, 0,0,0,12,0,0,0,12,0,0,0,67,0,0,0,115, 188,1,0,0,124,0,97,0,116,0,106,1,97,1,116,0, @@ -2341,7 +2341,7 @@ const unsigned char _Py_M__importlib_external[] = { 1,100,0,107,2,86,0,1,0,113,2,100,1,83,0,41, 2,114,31,0,0,0,78,41,1,114,33,0,0,0,41,2, 114,24,0,0,0,114,81,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,224,0,0,0,113,5, + 4,0,0,0,114,6,0,0,0,114,224,0,0,0,114,5, 0,0,115,2,0,0,0,4,0,122,25,95,115,101,116,117, 112,46,60,108,111,99,97,108,115,62,46,60,103,101,110,101, 120,112,114,62,114,62,0,0,0,122,30,105,109,112,111,114, @@ -2371,7 +2371,7 @@ const unsigned char _Py_M__importlib_external[] = { 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, 0,0,0,114,4,0,0,0,114,6,0,0,0,218,6,95, - 115,101,116,117,112,88,5,0,0,115,82,0,0,0,0,8, + 115,101,116,117,112,89,5,0,0,115,82,0,0,0,0,8, 4,1,6,1,6,3,10,1,10,1,10,1,12,2,10,1, 16,3,22,1,14,2,22,1,8,1,10,1,10,1,4,2, 2,1,10,1,6,1,14,1,12,2,8,1,12,1,12,1, @@ -2394,7 +2394,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,41,2,114,31,1,0,0,90,17,115,117,112,112, 111,114,116,101,100,95,108,111,97,100,101,114,115,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,8,95,105, - 110,115,116,97,108,108,156,5,0,0,115,12,0,0,0,0, + 110,115,116,97,108,108,157,5,0,0,115,12,0,0,0,0, 2,8,1,6,1,20,1,10,1,12,1,114,34,1,0,0, 41,1,114,0,0,0,0,41,2,114,1,0,0,0,114,2, 0,0,0,41,1,114,49,0,0,0,41,1,78,41,3,78, @@ -2428,7 +2428,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,6,0,0,0,218,8,60,109,111,100,117,108,101,62, 8,0,0,0,115,108,0,0,0,4,16,4,1,4,1,2, 1,6,3,8,17,8,5,8,5,8,6,8,12,8,10,8, - 9,8,5,8,7,10,22,10,121,16,1,12,2,4,1,4, + 9,8,5,8,7,10,22,10,122,16,1,12,2,4,1,4, 2,6,2,6,2,8,2,16,45,8,34,8,19,8,12,8, 12,8,28,8,17,10,55,10,12,10,10,8,14,6,3,4, 1,14,67,14,64,14,29,16,110,14,41,18,45,18,16,4, diff --git a/Python/opcode_targets.h b/Python/opcode_targets.h index 6d996f064d..72d24080d8 100644 --- a/Python/opcode_targets.h +++ b/Python/opcode_targets.h @@ -157,7 +157,7 @@ static void *opcode_targets[256] = { &&TARGET_FORMAT_VALUE, &&TARGET_BUILD_CONST_KEY_MAP, &&TARGET_BUILD_STRING, - &&_unknown_opcode, + &&TARGET_BUILD_TUPLE_UNPACK_WITH_CALL, &&_unknown_opcode, &&_unknown_opcode, &&_unknown_opcode, -- cgit v1.2.1 From 5ca9d515bdb90ee5588987dd8f8b2b723b21f4c3 Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Sun, 2 Oct 2016 11:06:43 +0300 Subject: Issue #27358: Optimized merging var-keyword arguments and improved error message when pass a non-mapping as a var-keyword argument. --- Python/ceval.c | 98 ++++++++++++++++++++++++++++++++-------------------------- 1 file changed, 54 insertions(+), 44 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 717ac33891..c443305211 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -2710,9 +2710,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) DISPATCH(); } - TARGET(BUILD_MAP_UNPACK_WITH_CALL) TARGET(BUILD_MAP_UNPACK) { - int with_call = opcode == BUILD_MAP_UNPACK_WITH_CALL; Py_ssize_t i; PyObject *sum = PyDict_New(); if (sum == NULL) @@ -2720,55 +2718,67 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) for (i = oparg; i > 0; i--) { PyObject *arg = PEEK(i); - if (with_call && PyDict_Size(sum)) { - PyObject *intersection = _PyDictView_Intersect(sum, arg); - - if (intersection == NULL) { - if (PyErr_ExceptionMatches(PyExc_AttributeError)) { - PyObject *func = PEEK(2 + oparg); - PyErr_Format(PyExc_TypeError, - "%.200s%.200s argument after ** " - "must be a mapping, not %.200s", - PyEval_GetFuncName(func), - PyEval_GetFuncDesc(func), - arg->ob_type->tp_name); - } - Py_DECREF(sum); - goto error; - } - - if (PySet_GET_SIZE(intersection)) { - Py_ssize_t idx = 0; - PyObject *key; - PyObject *func = PEEK(2 + oparg); - Py_hash_t hash; - _PySet_NextEntry(intersection, &idx, &key, &hash); - if (!PyUnicode_Check(key)) { - PyErr_Format(PyExc_TypeError, - "%.200s%.200s keywords must be strings", - PyEval_GetFuncName(func), - PyEval_GetFuncDesc(func)); - } else { - PyErr_Format(PyExc_TypeError, - "%.200s%.200s got multiple " - "values for keyword argument '%U'", - PyEval_GetFuncName(func), - PyEval_GetFuncDesc(func), - key); - } - Py_DECREF(intersection); - Py_DECREF(sum); - goto error; + if (PyDict_Update(sum, arg) < 0) { + if (PyErr_ExceptionMatches(PyExc_AttributeError)) { + PyErr_Format(PyExc_TypeError, + "'%.200s' object is not a mapping1", + arg->ob_type->tp_name); } - Py_DECREF(intersection); + Py_DECREF(sum); + goto error; } + } - if (PyDict_Update(sum, arg) < 0) { + while (oparg--) + Py_DECREF(POP()); + PUSH(sum); + DISPATCH(); + } + + TARGET(BUILD_MAP_UNPACK_WITH_CALL) { + Py_ssize_t i; + PyObject *sum = PyDict_New(); + if (sum == NULL) + goto error; + + for (i = oparg; i > 0; i--) { + PyObject *arg = PEEK(i); + if (_PyDict_MergeEx(sum, arg, 2) < 0) { + PyObject *func = PEEK(2 + oparg); if (PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Format(PyExc_TypeError, - "'%.200s' object is not a mapping", + "%.200s%.200s argument after ** " + "must be a mapping, not %.200s", + PyEval_GetFuncName(func), + PyEval_GetFuncDesc(func), arg->ob_type->tp_name); } + else if (PyErr_ExceptionMatches(PyExc_KeyError)) { + PyObject *exc, *val, *tb; + PyErr_Fetch(&exc, &val, &tb); + if (val && PyTuple_Check(val) && PyTuple_GET_SIZE(val) == 1) { + PyObject *key = PyTuple_GET_ITEM(val, 0); + if (!PyUnicode_Check(key)) { + PyErr_Format(PyExc_TypeError, + "%.200s%.200s keywords must be strings", + PyEval_GetFuncName(func), + PyEval_GetFuncDesc(func)); + } else { + PyErr_Format(PyExc_TypeError, + "%.200s%.200s got multiple " + "values for keyword argument '%U'", + PyEval_GetFuncName(func), + PyEval_GetFuncDesc(func), + key); + } + Py_XDECREF(exc); + Py_XDECREF(val); + Py_XDECREF(tb); + } + else { + PyErr_Restore(exc, val, tb); + } + } Py_DECREF(sum); goto error; } -- cgit v1.2.1 From 1344635504637fc1aedbde3896bef330448a490f Mon Sep 17 00:00:00 2001 From: Berker Peksag Date: Sun, 2 Oct 2016 13:08:25 +0300 Subject: Issue #27358: Fix typo in error message --- Python/ceval.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index c443305211..82cc9a2835 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -2721,7 +2721,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) if (PyDict_Update(sum, arg) < 0) { if (PyErr_ExceptionMatches(PyExc_AttributeError)) { PyErr_Format(PyExc_TypeError, - "'%.200s' object is not a mapping1", + "'%.200s' object is not a mapping", arg->ob_type->tp_name); } Py_DECREF(sum); -- cgit v1.2.1 From d2070e92c29f9f716823c9abcc9b4e4d7c27588a Mon Sep 17 00:00:00 2001 From: Benjamin Peterson Date: Thu, 20 Oct 2016 22:37:00 -0700 Subject: mark dtrace stubs as static inline; remove stubs C99 inline semantics don't work everywhere. (https://bugs.python.org/issue28092) We don't want these to have external visibility anyway. --- Python/dtrace_stubs.c | 24 ------------------------ 1 file changed, 24 deletions(-) delete mode 100644 Python/dtrace_stubs.c (limited to 'Python') diff --git a/Python/dtrace_stubs.c b/Python/dtrace_stubs.c deleted file mode 100644 index d051363640..0000000000 --- a/Python/dtrace_stubs.c +++ /dev/null @@ -1,24 +0,0 @@ -#include -#include "pydtrace.h" - -#ifndef WITH_DTRACE -extern inline void PyDTrace_LINE(const char *arg0, const char *arg1, int arg2); -extern inline void PyDTrace_FUNCTION_ENTRY(const char *arg0, const char *arg1, int arg2); -extern inline void PyDTrace_FUNCTION_RETURN(const char *arg0, const char *arg1, int arg2); -extern inline void PyDTrace_GC_START(int arg0); -extern inline void PyDTrace_GC_DONE(int arg0); -extern inline void PyDTrace_INSTANCE_NEW_START(int arg0); -extern inline void PyDTrace_INSTANCE_NEW_DONE(int arg0); -extern inline void PyDTrace_INSTANCE_DELETE_START(int arg0); -extern inline void PyDTrace_INSTANCE_DELETE_DONE(int arg0); - -extern inline int PyDTrace_LINE_ENABLED(void); -extern inline int PyDTrace_FUNCTION_ENTRY_ENABLED(void); -extern inline int PyDTrace_FUNCTION_RETURN_ENABLED(void); -extern inline int PyDTrace_GC_START_ENABLED(void); -extern inline int PyDTrace_GC_DONE_ENABLED(void); -extern inline int PyDTrace_INSTANCE_NEW_START_ENABLED(void); -extern inline int PyDTrace_INSTANCE_NEW_DONE_ENABLED(void); -extern inline int PyDTrace_INSTANCE_DELETE_START_ENABLED(void); -extern inline int PyDTrace_INSTANCE_DELETE_DONE_ENABLED(void); -#endif -- cgit v1.2.1 From 3888fec2a7d9d5688a9ada16652bdbc11449869f Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Fri, 21 Oct 2016 17:09:17 +0300 Subject: Issue #28410: Added _PyErr_FormatFromCause() -- the helper for raising new exception with setting current exception as __cause__. _PyErr_FormatFromCause(exception, format, args...) is equivalent to Python raise exception(format % args) from sys.exc_info()[1] --- Python/errors.c | 41 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 41 insertions(+) (limited to 'Python') diff --git a/Python/errors.c b/Python/errors.c index 12bde287df..918f4dffab 100644 --- a/Python/errors.c +++ b/Python/errors.c @@ -401,6 +401,47 @@ _PyErr_ChainExceptions(PyObject *exc, PyObject *val, PyObject *tb) } } +static PyObject * +_PyErr_FormatVFromCause(PyObject *exception, const char *format, va_list vargs) +{ + PyObject *exc, *val, *val2, *tb; + + assert(PyErr_Occurred()); + PyErr_Fetch(&exc, &val, &tb); + PyErr_NormalizeException(&exc, &val, &tb); + if (tb != NULL) { + PyException_SetTraceback(val, tb); + Py_DECREF(tb); + } + Py_DECREF(exc); + assert(!PyErr_Occurred()); + + PyErr_FormatV(exception, format, vargs); + + PyErr_Fetch(&exc, &val2, &tb); + PyErr_NormalizeException(&exc, &val2, &tb); + Py_INCREF(val); + PyException_SetCause(val2, val); + PyException_SetContext(val2, val); + PyErr_Restore(exc, val2, tb); + + return NULL; +} + +PyObject * +_PyErr_FormatFromCause(PyObject *exception, const char *format, ...) +{ + va_list vargs; +#ifdef HAVE_STDARG_PROTOTYPES + va_start(vargs, format); +#else + va_start(vargs); +#endif + _PyErr_FormatVFromCause(exception, format, vargs); + va_end(vargs); + return NULL; +} + /* Convenience functions to set a type error exception and return 0 */ int -- cgit v1.2.1 From cb908e42142f558092d2dfcb587106a1e65c5bb1 Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Tue, 25 Oct 2016 09:30:43 +0300 Subject: Issue #28517: Fixed of-by-one error in the peephole optimizer that caused keeping unreachable code. --- Python/importlib.h | 2296 +++++++++++++------------ Python/importlib_external.h | 3915 +++++++++++++++++++++---------------------- Python/peephole.c | 4 +- 3 files changed, 3106 insertions(+), 3109 deletions(-) (limited to 'Python') diff --git a/Python/importlib.h b/Python/importlib.h index 7497f2288d..195fbfd13b 100644 --- a/Python/importlib.h +++ b/Python/importlib.h @@ -468,965 +468,964 @@ const unsigned char _Py_M__importlib[] = { 105,114,101,115,95,102,114,111,122,101,110,227,0,0,0,115, 6,0,0,0,0,2,12,5,10,1,114,77,0,0,0,99, 2,0,0,0,0,0,0,0,4,0,0,0,3,0,0,0, - 67,0,0,0,115,64,0,0,0,116,0,124,1,124,0,131, - 2,125,2,124,1,116,1,106,2,107,6,114,52,116,1,106, + 67,0,0,0,115,62,0,0,0,116,0,124,1,124,0,131, + 2,125,2,124,1,116,1,106,2,107,6,114,50,116,1,106, 2,124,1,25,0,125,3,116,3,124,2,124,3,131,2,1, - 0,116,1,106,2,124,1,25,0,83,0,110,8,116,4,124, - 2,131,1,83,0,100,1,83,0,41,2,122,128,76,111,97, - 100,32,116,104,101,32,115,112,101,99,105,102,105,101,100,32, - 109,111,100,117,108,101,32,105,110,116,111,32,115,121,115,46, - 109,111,100,117,108,101,115,32,97,110,100,32,114,101,116,117, - 114,110,32,105,116,46,10,10,32,32,32,32,84,104,105,115, - 32,109,101,116,104,111,100,32,105,115,32,100,101,112,114,101, - 99,97,116,101,100,46,32,32,85,115,101,32,108,111,97,100, - 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, - 101,114,114,14,0,0,0,218,7,109,111,100,117,108,101,115, - 218,5,95,101,120,101,99,218,5,95,108,111,97,100,41,4, - 114,26,0,0,0,114,71,0,0,0,218,4,115,112,101,99, - 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, - 111,100,117,108,101,95,115,104,105,109,239,0,0,0,115,12, - 0,0,0,0,6,10,1,10,1,10,1,10,1,12,2,114, - 84,0,0,0,99,1,0,0,0,0,0,0,0,5,0,0, - 0,35,0,0,0,67,0,0,0,115,218,0,0,0,116,0, - 124,0,100,1,100,0,131,3,125,1,116,1,124,1,100,2, - 131,2,114,54,121,10,124,1,106,2,124,0,131,1,83,0, - 4,0,116,3,107,10,114,52,1,0,1,0,1,0,89,0, - 110,2,88,0,121,10,124,0,106,4,125,2,87,0,110,20, - 4,0,116,5,107,10,114,84,1,0,1,0,1,0,89,0, - 110,18,88,0,124,2,100,0,107,9,114,102,116,6,124,2, - 131,1,83,0,121,10,124,0,106,7,125,3,87,0,110,24, - 4,0,116,5,107,10,114,136,1,0,1,0,1,0,100,3, - 125,3,89,0,110,2,88,0,121,10,124,0,106,8,125,4, - 87,0,110,52,4,0,116,5,107,10,114,200,1,0,1,0, - 1,0,124,1,100,0,107,8,114,184,100,4,106,9,124,3, - 131,1,83,0,110,12,100,5,106,9,124,3,124,1,131,2, - 83,0,89,0,110,14,88,0,100,6,106,9,124,3,124,4, - 131,2,83,0,100,0,83,0,41,7,78,218,10,95,95,108, - 111,97,100,101,114,95,95,218,11,109,111,100,117,108,101,95, - 114,101,112,114,250,1,63,122,13,60,109,111,100,117,108,101, - 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, - 123,33,114,125,62,41,10,114,6,0,0,0,114,4,0,0, - 0,114,86,0,0,0,218,9,69,120,99,101,112,116,105,111, - 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, - 95,95,114,38,0,0,0,41,5,114,83,0,0,0,218,6, - 108,111,97,100,101,114,114,82,0,0,0,114,15,0,0,0, - 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, - 108,101,95,114,101,112,114,255,0,0,0,115,46,0,0,0, - 0,2,12,1,10,4,2,1,10,1,14,1,6,1,2,1, - 10,1,14,1,6,2,8,1,8,4,2,1,10,1,14,1, - 10,1,2,1,10,1,14,1,8,1,12,2,18,2,114,95, - 0,0,0,99,0,0,0,0,0,0,0,0,0,0,0,0, - 2,0,0,0,64,0,0,0,115,36,0,0,0,101,0,90, - 1,100,0,90,2,100,1,100,2,132,0,90,3,100,3,100, - 4,132,0,90,4,100,5,100,6,132,0,90,5,100,7,83, - 0,41,8,218,17,95,105,110,115,116,97,108,108,101,100,95, - 115,97,102,101,108,121,99,2,0,0,0,0,0,0,0,2, - 0,0,0,2,0,0,0,67,0,0,0,115,18,0,0,0, - 124,1,124,0,95,0,124,1,106,1,124,0,95,2,100,0, - 83,0,41,1,78,41,3,218,7,95,109,111,100,117,108,101, - 114,89,0,0,0,218,5,95,115,112,101,99,41,2,114,26, - 0,0,0,114,83,0,0,0,114,10,0,0,0,114,10,0, - 0,0,114,11,0,0,0,114,27,0,0,0,37,1,0,0, - 115,4,0,0,0,0,1,6,1,122,26,95,105,110,115,116, - 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, - 0,0,3,0,0,0,67,0,0,0,115,28,0,0,0,100, - 1,124,0,106,0,95,1,124,0,106,2,116,3,106,4,124, - 0,106,0,106,5,60,0,100,0,83,0,41,2,78,84,41, - 6,114,98,0,0,0,218,13,95,105,110,105,116,105,97,108, - 105,122,105,110,103,114,97,0,0,0,114,14,0,0,0,114, - 79,0,0,0,114,15,0,0,0,41,1,114,26,0,0,0, - 114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,114, - 48,0,0,0,41,1,0,0,115,4,0,0,0,0,4,8, - 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, - 0,0,0,115,98,0,0,0,122,82,124,0,106,0,125,2, - 116,1,100,1,100,2,132,0,124,1,68,0,131,1,131,1, - 114,64,121,14,116,2,106,3,124,2,106,4,61,0,87,0, - 113,80,4,0,116,5,107,10,114,60,1,0,1,0,1,0, - 89,0,113,80,88,0,110,16,116,6,100,3,124,2,106,4, - 124,2,106,7,131,3,1,0,87,0,100,0,100,4,124,0, - 106,0,95,8,88,0,100,0,83,0,41,5,78,99,1,0, - 0,0,0,0,0,0,2,0,0,0,3,0,0,0,115,0, - 0,0,115,22,0,0,0,124,0,93,14,125,1,124,1,100, - 0,107,9,86,0,1,0,113,2,100,0,83,0,41,1,78, - 114,10,0,0,0,41,2,90,2,46,48,90,3,97,114,103, - 114,10,0,0,0,114,10,0,0,0,114,11,0,0,0,250, - 9,60,103,101,110,101,120,112,114,62,51,1,0,0,115,2, - 0,0,0,4,0,122,45,95,105,110,115,116,97,108,108,101, - 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, - 125,32,35,32,123,33,114,125,70,41,9,114,98,0,0,0, - 218,3,97,110,121,114,14,0,0,0,114,79,0,0,0,114, - 15,0,0,0,114,54,0,0,0,114,68,0,0,0,114,93, - 0,0,0,114,99,0,0,0,41,3,114,26,0,0,0,114, - 49,0,0,0,114,82,0,0,0,114,10,0,0,0,114,10, - 0,0,0,114,11,0,0,0,114,50,0,0,0,48,1,0, - 0,115,18,0,0,0,0,1,2,1,6,1,18,1,2,1, - 14,1,14,1,8,2,20,2,122,26,95,105,110,115,116,97, - 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, - 0,114,2,0,0,0,114,27,0,0,0,114,48,0,0,0, - 114,50,0,0,0,114,10,0,0,0,114,10,0,0,0,114, - 10,0,0,0,114,11,0,0,0,114,96,0,0,0,35,1, - 0,0,115,6,0,0,0,8,2,8,4,8,7,114,96,0, - 0,0,99,0,0,0,0,0,0,0,0,0,0,0,0,4, - 0,0,0,64,0,0,0,115,114,0,0,0,101,0,90,1, - 100,0,90,2,100,1,90,3,100,2,100,2,100,2,100,3, - 156,3,100,4,100,5,132,2,90,4,100,6,100,7,132,0, - 90,5,100,8,100,9,132,0,90,6,101,7,100,10,100,11, - 132,0,131,1,90,8,101,8,106,9,100,12,100,11,132,0, - 131,1,90,8,101,7,100,13,100,14,132,0,131,1,90,10, - 101,7,100,15,100,16,132,0,131,1,90,11,101,11,106,9, - 100,17,100,16,132,0,131,1,90,11,100,2,83,0,41,18, - 218,10,77,111,100,117,108,101,83,112,101,99,97,208,5,0, - 0,84,104,101,32,115,112,101,99,105,102,105,99,97,116,105, - 111,110,32,102,111,114,32,97,32,109,111,100,117,108,101,44, - 32,117,115,101,100,32,102,111,114,32,108,111,97,100,105,110, - 103,46,10,10,32,32,32,32,65,32,109,111,100,117,108,101, - 39,115,32,115,112,101,99,32,105,115,32,116,104,101,32,115, - 111,117,114,99,101,32,102,111,114,32,105,110,102,111,114,109, - 97,116,105,111,110,32,97,98,111,117,116,32,116,104,101,32, - 109,111,100,117,108,101,46,32,32,70,111,114,10,32,32,32, - 32,100,97,116,97,32,97,115,115,111,99,105,97,116,101,100, - 32,119,105,116,104,32,116,104,101,32,109,111,100,117,108,101, - 44,32,105,110,99,108,117,100,105,110,103,32,115,111,117,114, - 99,101,44,32,117,115,101,32,116,104,101,32,115,112,101,99, - 39,115,10,32,32,32,32,108,111,97,100,101,114,46,10,10, - 32,32,32,32,96,110,97,109,101,96,32,105,115,32,116,104, - 101,32,97,98,115,111,108,117,116,101,32,110,97,109,101,32, - 111,102,32,116,104,101,32,109,111,100,117,108,101,46,32,32, - 96,108,111,97,100,101,114,96,32,105,115,32,116,104,101,32, - 108,111,97,100,101,114,10,32,32,32,32,116,111,32,117,115, - 101,32,119,104,101,110,32,108,111,97,100,105,110,103,32,116, - 104,101,32,109,111,100,117,108,101,46,32,32,96,112,97,114, - 101,110,116,96,32,105,115,32,116,104,101,32,110,97,109,101, - 32,111,102,32,116,104,101,10,32,32,32,32,112,97,99,107, - 97,103,101,32,116,104,101,32,109,111,100,117,108,101,32,105, - 115,32,105,110,46,32,32,84,104,101,32,112,97,114,101,110, - 116,32,105,115,32,100,101,114,105,118,101,100,32,102,114,111, - 109,32,116,104,101,32,110,97,109,101,46,10,10,32,32,32, - 32,96,105,115,95,112,97,99,107,97,103,101,96,32,100,101, - 116,101,114,109,105,110,101,115,32,105,102,32,116,104,101,32, - 109,111,100,117,108,101,32,105,115,32,99,111,110,115,105,100, - 101,114,101,100,32,97,32,112,97,99,107,97,103,101,32,111, - 114,10,32,32,32,32,110,111,116,46,32,32,79,110,32,109, - 111,100,117,108,101,115,32,116,104,105,115,32,105,115,32,114, - 101,102,108,101,99,116,101,100,32,98,121,32,116,104,101,32, - 96,95,95,112,97,116,104,95,95,96,32,97,116,116,114,105, - 98,117,116,101,46,10,10,32,32,32,32,96,111,114,105,103, - 105,110,96,32,105,115,32,116,104,101,32,115,112,101,99,105, - 102,105,99,32,108,111,99,97,116,105,111,110,32,117,115,101, - 100,32,98,121,32,116,104,101,32,108,111,97,100,101,114,32, - 102,114,111,109,32,119,104,105,99,104,32,116,111,10,32,32, - 32,32,108,111,97,100,32,116,104,101,32,109,111,100,117,108, - 101,44,32,105,102,32,116,104,97,116,32,105,110,102,111,114, - 109,97,116,105,111,110,32,105,115,32,97,118,97,105,108,97, - 98,108,101,46,32,32,87,104,101,110,32,102,105,108,101,110, - 97,109,101,32,105,115,10,32,32,32,32,115,101,116,44,32, - 111,114,105,103,105,110,32,119,105,108,108,32,109,97,116,99, - 104,46,10,10,32,32,32,32,96,104,97,115,95,108,111,99, - 97,116,105,111,110,96,32,105,110,100,105,99,97,116,101,115, - 32,116,104,97,116,32,97,32,115,112,101,99,39,115,32,34, - 111,114,105,103,105,110,34,32,114,101,102,108,101,99,116,115, - 32,97,32,108,111,99,97,116,105,111,110,46,10,32,32,32, - 32,87,104,101,110,32,116,104,105,115,32,105,115,32,84,114, - 117,101,44,32,96,95,95,102,105,108,101,95,95,96,32,97, - 116,116,114,105,98,117,116,101,32,111,102,32,116,104,101,32, - 109,111,100,117,108,101,32,105,115,32,115,101,116,46,10,10, - 32,32,32,32,96,99,97,99,104,101,100,96,32,105,115,32, - 116,104,101,32,108,111,99,97,116,105,111,110,32,111,102,32, - 116,104,101,32,99,97,99,104,101,100,32,98,121,116,101,99, - 111,100,101,32,102,105,108,101,44,32,105,102,32,97,110,121, - 46,32,32,73,116,10,32,32,32,32,99,111,114,114,101,115, - 112,111,110,100,115,32,116,111,32,116,104,101,32,96,95,95, - 99,97,99,104,101,100,95,95,96,32,97,116,116,114,105,98, - 117,116,101,46,10,10,32,32,32,32,96,115,117,98,109,111, - 100,117,108,101,95,115,101,97,114,99,104,95,108,111,99,97, - 116,105,111,110,115,96,32,105,115,32,116,104,101,32,115,101, - 113,117,101,110,99,101,32,111,102,32,112,97,116,104,32,101, - 110,116,114,105,101,115,32,116,111,10,32,32,32,32,115,101, - 97,114,99,104,32,119,104,101,110,32,105,109,112,111,114,116, - 105,110,103,32,115,117,98,109,111,100,117,108,101,115,46,32, - 32,73,102,32,115,101,116,44,32,105,115,95,112,97,99,107, - 97,103,101,32,115,104,111,117,108,100,32,98,101,10,32,32, - 32,32,84,114,117,101,45,45,97,110,100,32,70,97,108,115, - 101,32,111,116,104,101,114,119,105,115,101,46,10,10,32,32, - 32,32,80,97,99,107,97,103,101,115,32,97,114,101,32,115, - 105,109,112,108,121,32,109,111,100,117,108,101,115,32,116,104, - 97,116,32,40,109,97,121,41,32,104,97,118,101,32,115,117, - 98,109,111,100,117,108,101,115,46,32,32,73,102,32,97,32, - 115,112,101,99,10,32,32,32,32,104,97,115,32,97,32,110, - 111,110,45,78,111,110,101,32,118,97,108,117,101,32,105,110, - 32,96,115,117,98,109,111,100,117,108,101,95,115,101,97,114, - 99,104,95,108,111,99,97,116,105,111,110,115,96,44,32,116, - 104,101,32,105,109,112,111,114,116,10,32,32,32,32,115,121, - 115,116,101,109,32,119,105,108,108,32,99,111,110,115,105,100, - 101,114,32,109,111,100,117,108,101,115,32,108,111,97,100,101, - 100,32,102,114,111,109,32,116,104,101,32,115,112,101,99,32, - 97,115,32,112,97,99,107,97,103,101,115,46,10,10,32,32, - 32,32,79,110,108,121,32,102,105,110,100,101,114,115,32,40, - 115,101,101,32,105,109,112,111,114,116,108,105,98,46,97,98, - 99,46,77,101,116,97,80,97,116,104,70,105,110,100,101,114, - 32,97,110,100,10,32,32,32,32,105,109,112,111,114,116,108, - 105,98,46,97,98,99,46,80,97,116,104,69,110,116,114,121, - 70,105,110,100,101,114,41,32,115,104,111,117,108,100,32,109, - 111,100,105,102,121,32,77,111,100,117,108,101,83,112,101,99, - 32,105,110,115,116,97,110,99,101,115,46,10,10,32,32,32, - 32,78,41,3,218,6,111,114,105,103,105,110,218,12,108,111, - 97,100,101,114,95,115,116,97,116,101,218,10,105,115,95,112, - 97,99,107,97,103,101,99,3,0,0,0,3,0,0,0,6, - 0,0,0,2,0,0,0,67,0,0,0,115,54,0,0,0, - 124,1,124,0,95,0,124,2,124,0,95,1,124,3,124,0, - 95,2,124,4,124,0,95,3,124,5,114,32,103,0,110,2, - 100,0,124,0,95,4,100,1,124,0,95,5,100,0,124,0, - 95,6,100,0,83,0,41,2,78,70,41,7,114,15,0,0, - 0,114,93,0,0,0,114,103,0,0,0,114,104,0,0,0, - 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, - 99,104,101,100,41,6,114,26,0,0,0,114,15,0,0,0, - 114,93,0,0,0,114,103,0,0,0,114,104,0,0,0,114, - 105,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11, - 0,0,0,114,27,0,0,0,99,1,0,0,115,14,0,0, - 0,0,2,6,1,6,1,6,1,6,1,14,3,6,1,122, - 19,77,111,100,117,108,101,83,112,101,99,46,95,95,105,110, - 105,116,95,95,99,1,0,0,0,0,0,0,0,2,0,0, - 0,4,0,0,0,67,0,0,0,115,102,0,0,0,100,1, - 106,0,124,0,106,1,131,1,100,2,106,0,124,0,106,2, - 131,1,103,2,125,1,124,0,106,3,100,0,107,9,114,52, - 124,1,106,4,100,3,106,0,124,0,106,3,131,1,131,1, - 1,0,124,0,106,5,100,0,107,9,114,80,124,1,106,4, - 100,4,106,0,124,0,106,5,131,1,131,1,1,0,100,5, - 106,0,124,0,106,6,106,7,100,6,106,8,124,1,131,1, - 131,2,83,0,41,7,78,122,9,110,97,109,101,61,123,33, - 114,125,122,11,108,111,97,100,101,114,61,123,33,114,125,122, - 11,111,114,105,103,105,110,61,123,33,114,125,122,29,115,117, - 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, - 123,125,41,122,2,44,32,41,9,114,38,0,0,0,114,15, - 0,0,0,114,93,0,0,0,114,103,0,0,0,218,6,97, - 112,112,101,110,100,114,106,0,0,0,218,9,95,95,99,108, - 97,115,115,95,95,114,1,0,0,0,218,4,106,111,105,110, - 41,2,114,26,0,0,0,114,49,0,0,0,114,10,0,0, - 0,114,10,0,0,0,114,11,0,0,0,114,40,0,0,0, - 111,1,0,0,115,16,0,0,0,0,1,10,1,14,1,10, - 1,18,1,10,1,8,1,10,1,122,19,77,111,100,117,108, - 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, - 0,0,0,115,102,0,0,0,124,0,106,0,125,2,121,70, - 124,0,106,1,124,1,106,1,107,2,111,76,124,0,106,2, - 124,1,106,2,107,2,111,76,124,0,106,3,124,1,106,3, - 107,2,111,76,124,2,124,1,106,0,107,2,111,76,124,0, - 106,4,124,1,106,4,107,2,111,76,124,0,106,5,124,1, - 106,5,107,2,83,0,4,0,116,6,107,10,114,96,1,0, - 1,0,1,0,100,1,83,0,88,0,100,0,83,0,41,2, - 78,70,41,7,114,106,0,0,0,114,15,0,0,0,114,93, - 0,0,0,114,103,0,0,0,218,6,99,97,99,104,101,100, - 218,12,104,97,115,95,108,111,99,97,116,105,111,110,114,90, - 0,0,0,41,3,114,26,0,0,0,90,5,111,116,104,101, - 114,90,4,115,109,115,108,114,10,0,0,0,114,10,0,0, - 0,114,11,0,0,0,218,6,95,95,101,113,95,95,121,1, - 0,0,115,20,0,0,0,0,1,6,1,2,1,12,1,12, - 1,12,1,10,1,12,1,12,1,14,1,122,17,77,111,100, - 117,108,101,83,112,101,99,46,95,95,101,113,95,95,99,1, - 0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,67, - 0,0,0,115,58,0,0,0,124,0,106,0,100,0,107,8, - 114,52,124,0,106,1,100,0,107,9,114,52,124,0,106,2, - 114,52,116,3,100,0,107,8,114,38,116,4,130,1,116,3, - 106,5,124,0,106,1,131,1,124,0,95,0,124,0,106,0, - 83,0,41,1,78,41,6,114,108,0,0,0,114,103,0,0, - 0,114,107,0,0,0,218,19,95,98,111,111,116,115,116,114, - 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, - 26,0,0,0,114,10,0,0,0,114,10,0,0,0,114,11, - 0,0,0,114,112,0,0,0,133,1,0,0,115,12,0,0, - 0,0,2,10,1,16,1,8,1,4,1,14,1,122,17,77, - 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, - 0,67,0,0,0,115,10,0,0,0,124,1,124,0,95,0, - 100,0,83,0,41,1,78,41,1,114,108,0,0,0,41,2, - 114,26,0,0,0,114,112,0,0,0,114,10,0,0,0,114, - 10,0,0,0,114,11,0,0,0,114,112,0,0,0,142,1, - 0,0,115,2,0,0,0,0,2,99,1,0,0,0,0,0, - 0,0,1,0,0,0,2,0,0,0,67,0,0,0,115,38, - 0,0,0,124,0,106,0,100,1,107,8,114,28,124,0,106, - 1,106,2,100,2,131,1,100,3,25,0,83,0,110,6,124, - 0,106,1,83,0,100,1,83,0,41,4,122,32,84,104,101, - 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, - 46,114,19,0,0,0,41,3,114,106,0,0,0,114,15,0, - 0,0,218,10,114,112,97,114,116,105,116,105,111,110,41,1, - 114,26,0,0,0,114,10,0,0,0,114,10,0,0,0,114, - 11,0,0,0,218,6,112,97,114,101,110,116,146,1,0,0, - 115,6,0,0,0,0,3,10,1,18,2,122,17,77,111,100, - 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, - 0,0,0,115,6,0,0,0,124,0,106,0,83,0,41,1, - 78,41,1,114,107,0,0,0,41,1,114,26,0,0,0,114, - 10,0,0,0,114,10,0,0,0,114,11,0,0,0,114,113, - 0,0,0,154,1,0,0,115,2,0,0,0,0,2,122,23, - 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, - 2,0,0,0,2,0,0,0,67,0,0,0,115,14,0,0, - 0,116,0,124,1,131,1,124,0,95,1,100,0,83,0,41, - 1,78,41,2,218,4,98,111,111,108,114,107,0,0,0,41, - 2,114,26,0,0,0,218,5,118,97,108,117,101,114,10,0, - 0,0,114,10,0,0,0,114,11,0,0,0,114,113,0,0, - 0,158,1,0,0,115,2,0,0,0,0,2,41,12,114,1, - 0,0,0,114,0,0,0,0,114,2,0,0,0,114,3,0, - 0,0,114,27,0,0,0,114,40,0,0,0,114,114,0,0, - 0,218,8,112,114,111,112,101,114,116,121,114,112,0,0,0, - 218,6,115,101,116,116,101,114,114,119,0,0,0,114,113,0, - 0,0,114,10,0,0,0,114,10,0,0,0,114,10,0,0, - 0,114,11,0,0,0,114,102,0,0,0,62,1,0,0,115, - 20,0,0,0,8,35,4,2,4,1,14,11,8,10,8,12, - 12,9,14,4,12,8,12,4,114,102,0,0,0,41,2,114, - 103,0,0,0,114,105,0,0,0,99,2,0,0,0,2,0, - 0,0,6,0,0,0,14,0,0,0,67,0,0,0,115,154, - 0,0,0,116,0,124,1,100,1,131,2,114,74,116,1,100, - 2,107,8,114,22,116,2,130,1,116,1,106,3,125,4,124, - 3,100,2,107,8,114,48,124,4,124,0,124,1,100,3,141, - 2,83,0,124,3,114,56,103,0,110,2,100,2,125,5,124, - 4,124,0,124,1,124,5,100,4,141,3,83,0,124,3,100, - 2,107,8,114,138,116,0,124,1,100,5,131,2,114,134,121, - 14,124,1,106,4,124,0,131,1,125,3,87,0,113,138,4, - 0,116,5,107,10,114,130,1,0,1,0,1,0,100,2,125, - 3,89,0,113,138,88,0,110,4,100,6,125,3,116,6,124, - 0,124,1,124,2,124,3,100,7,141,4,83,0,41,8,122, - 53,82,101,116,117,114,110,32,97,32,109,111,100,117,108,101, - 32,115,112,101,99,32,98,97,115,101,100,32,111,110,32,118, - 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, - 110,97,109,101,78,41,1,114,93,0,0,0,41,2,114,93, - 0,0,0,114,106,0,0,0,114,105,0,0,0,70,41,2, - 114,103,0,0,0,114,105,0,0,0,41,7,114,4,0,0, - 0,114,115,0,0,0,114,116,0,0,0,218,23,115,112,101, - 99,95,102,114,111,109,95,102,105,108,101,95,108,111,99,97, - 116,105,111,110,114,105,0,0,0,114,70,0,0,0,114,102, - 0,0,0,41,6,114,15,0,0,0,114,93,0,0,0,114, - 103,0,0,0,114,105,0,0,0,114,124,0,0,0,90,6, - 115,101,97,114,99,104,114,10,0,0,0,114,10,0,0,0, - 114,11,0,0,0,114,78,0,0,0,163,1,0,0,115,34, - 0,0,0,0,2,10,1,8,1,4,1,6,2,8,1,12, - 1,12,1,6,1,8,2,8,1,10,1,2,1,14,1,14, - 1,12,3,4,2,114,78,0,0,0,99,3,0,0,0,0, - 0,0,0,8,0,0,0,53,0,0,0,67,0,0,0,115, - 56,1,0,0,121,10,124,0,106,0,125,3,87,0,110,20, - 4,0,116,1,107,10,114,30,1,0,1,0,1,0,89,0, - 110,14,88,0,124,3,100,0,107,9,114,44,124,3,83,0, - 124,0,106,2,125,4,124,1,100,0,107,8,114,90,121,10, - 124,0,106,3,125,1,87,0,110,20,4,0,116,1,107,10, - 114,88,1,0,1,0,1,0,89,0,110,2,88,0,121,10, - 124,0,106,4,125,5,87,0,110,24,4,0,116,1,107,10, - 114,124,1,0,1,0,1,0,100,0,125,5,89,0,110,2, - 88,0,124,2,100,0,107,8,114,184,124,5,100,0,107,8, - 114,180,121,10,124,1,106,5,125,2,87,0,113,184,4,0, - 116,1,107,10,114,176,1,0,1,0,1,0,100,0,125,2, - 89,0,113,184,88,0,110,4,124,5,125,2,121,10,124,0, - 106,6,125,6,87,0,110,24,4,0,116,1,107,10,114,218, - 1,0,1,0,1,0,100,0,125,6,89,0,110,2,88,0, - 121,14,116,7,124,0,106,8,131,1,125,7,87,0,110,26, - 4,0,116,1,107,10,144,1,114,4,1,0,1,0,1,0, - 100,0,125,7,89,0,110,2,88,0,116,9,124,4,124,1, - 124,2,100,1,141,3,125,3,124,5,100,0,107,8,144,1, - 114,34,100,2,110,2,100,3,124,3,95,10,124,6,124,3, - 95,11,124,7,124,3,95,12,124,3,83,0,41,4,78,41, - 1,114,103,0,0,0,70,84,41,13,114,89,0,0,0,114, - 90,0,0,0,114,1,0,0,0,114,85,0,0,0,114,92, - 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, - 95,95,112,97,116,104,95,95,114,102,0,0,0,114,107,0, - 0,0,114,112,0,0,0,114,106,0,0,0,41,8,114,83, - 0,0,0,114,93,0,0,0,114,103,0,0,0,114,82,0, - 0,0,114,15,0,0,0,90,8,108,111,99,97,116,105,111, - 110,114,112,0,0,0,114,106,0,0,0,114,10,0,0,0, - 114,10,0,0,0,114,11,0,0,0,218,17,95,115,112,101, - 99,95,102,114,111,109,95,109,111,100,117,108,101,192,1,0, - 0,115,72,0,0,0,0,2,2,1,10,1,14,1,6,2, - 8,1,4,2,6,1,8,1,2,1,10,1,14,2,6,1, - 2,1,10,1,14,1,10,1,8,1,8,1,2,1,10,1, - 14,1,12,2,4,1,2,1,10,1,14,1,10,1,2,1, - 14,1,16,1,10,2,14,1,20,1,6,1,6,1,114,128, - 0,0,0,70,41,1,218,8,111,118,101,114,114,105,100,101, - 99,2,0,0,0,1,0,0,0,5,0,0,0,59,0,0, - 0,67,0,0,0,115,212,1,0,0,124,2,115,20,116,0, - 124,1,100,1,100,0,131,3,100,0,107,8,114,54,121,12, - 124,0,106,1,124,1,95,2,87,0,110,20,4,0,116,3, - 107,10,114,52,1,0,1,0,1,0,89,0,110,2,88,0, - 124,2,115,74,116,0,124,1,100,2,100,0,131,3,100,0, - 107,8,114,166,124,0,106,4,125,3,124,3,100,0,107,8, - 114,134,124,0,106,5,100,0,107,9,114,134,116,6,100,0, - 107,8,114,110,116,7,130,1,116,6,106,8,125,4,124,4, - 106,9,124,4,131,1,125,3,124,0,106,5,124,3,95,10, - 121,10,124,3,124,1,95,11,87,0,110,20,4,0,116,3, - 107,10,114,164,1,0,1,0,1,0,89,0,110,2,88,0, - 124,2,115,186,116,0,124,1,100,3,100,0,131,3,100,0, - 107,8,114,220,121,12,124,0,106,12,124,1,95,13,87,0, - 110,20,4,0,116,3,107,10,114,218,1,0,1,0,1,0, - 89,0,110,2,88,0,121,10,124,0,124,1,95,14,87,0, - 110,20,4,0,116,3,107,10,114,250,1,0,1,0,1,0, - 89,0,110,2,88,0,124,2,144,1,115,20,116,0,124,1, - 100,4,100,0,131,3,100,0,107,8,144,1,114,68,124,0, - 106,5,100,0,107,9,144,1,114,68,121,12,124,0,106,5, - 124,1,95,15,87,0,110,22,4,0,116,3,107,10,144,1, - 114,66,1,0,1,0,1,0,89,0,110,2,88,0,124,0, - 106,16,144,1,114,208,124,2,144,1,115,100,116,0,124,1, - 100,5,100,0,131,3,100,0,107,8,144,1,114,136,121,12, - 124,0,106,17,124,1,95,18,87,0,110,22,4,0,116,3, - 107,10,144,1,114,134,1,0,1,0,1,0,89,0,110,2, - 88,0,124,2,144,1,115,160,116,0,124,1,100,6,100,0, - 131,3,100,0,107,8,144,1,114,208,124,0,106,19,100,0, - 107,9,144,1,114,208,121,12,124,0,106,19,124,1,95,20, - 87,0,110,22,4,0,116,3,107,10,144,1,114,206,1,0, - 1,0,1,0,89,0,110,2,88,0,124,1,83,0,41,7, - 78,114,1,0,0,0,114,85,0,0,0,218,11,95,95,112, - 97,99,107,97,103,101,95,95,114,127,0,0,0,114,92,0, - 0,0,114,125,0,0,0,41,21,114,6,0,0,0,114,15, - 0,0,0,114,1,0,0,0,114,90,0,0,0,114,93,0, - 0,0,114,106,0,0,0,114,115,0,0,0,114,116,0,0, - 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, - 97,116,104,114,85,0,0,0,114,119,0,0,0,114,130,0, - 0,0,114,89,0,0,0,114,127,0,0,0,114,113,0,0, - 0,114,103,0,0,0,114,92,0,0,0,114,112,0,0,0, - 114,125,0,0,0,41,5,114,82,0,0,0,114,83,0,0, - 0,114,129,0,0,0,114,93,0,0,0,114,131,0,0,0, - 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, - 116,114,115,237,1,0,0,115,92,0,0,0,0,4,20,1, - 2,1,12,1,14,1,6,2,20,1,6,1,8,2,10,1, - 8,1,4,1,6,2,10,1,8,1,2,1,10,1,14,1, - 6,2,20,1,2,1,12,1,14,1,6,2,2,1,10,1, - 14,1,6,2,24,1,12,1,2,1,12,1,16,1,6,2, - 8,1,24,1,2,1,12,1,16,1,6,2,24,1,12,1, - 2,1,12,1,16,1,6,1,114,133,0,0,0,99,1,0, - 0,0,0,0,0,0,2,0,0,0,3,0,0,0,67,0, - 0,0,115,82,0,0,0,100,1,125,1,116,0,124,0,106, - 1,100,2,131,2,114,30,124,0,106,1,106,2,124,0,131, - 1,125,1,110,20,116,0,124,0,106,1,100,3,131,2,114, - 50,116,3,100,4,131,1,130,1,124,1,100,1,107,8,114, - 68,116,4,124,0,106,5,131,1,125,1,116,6,124,0,124, - 1,131,2,1,0,124,1,83,0,41,5,122,43,67,114,101, - 97,116,101,32,97,32,109,111,100,117,108,101,32,98,97,115, - 101,100,32,111,110,32,116,104,101,32,112,114,111,118,105,100, - 101,100,32,115,112,101,99,46,78,218,13,99,114,101,97,116, - 101,95,109,111,100,117,108,101,218,11,101,120,101,99,95,109, - 111,100,117,108,101,122,66,108,111,97,100,101,114,115,32,116, - 104,97,116,32,100,101,102,105,110,101,32,101,120,101,99,95, - 109,111,100,117,108,101,40,41,32,109,117,115,116,32,97,108, - 115,111,32,100,101,102,105,110,101,32,99,114,101,97,116,101, - 95,109,111,100,117,108,101,40,41,41,7,114,4,0,0,0, - 114,93,0,0,0,114,134,0,0,0,114,70,0,0,0,114, - 16,0,0,0,114,15,0,0,0,114,133,0,0,0,41,2, - 114,82,0,0,0,114,83,0,0,0,114,10,0,0,0,114, - 10,0,0,0,114,11,0,0,0,218,16,109,111,100,117,108, - 101,95,102,114,111,109,95,115,112,101,99,41,2,0,0,115, - 18,0,0,0,0,3,4,1,12,3,14,1,12,1,8,2, - 8,1,10,1,10,1,114,136,0,0,0,99,1,0,0,0, - 0,0,0,0,2,0,0,0,3,0,0,0,67,0,0,0, - 115,110,0,0,0,124,0,106,0,100,1,107,8,114,14,100, - 2,110,4,124,0,106,0,125,1,124,0,106,1,100,1,107, - 8,114,68,124,0,106,2,100,1,107,8,114,52,100,3,106, - 3,124,1,131,1,83,0,113,106,100,4,106,3,124,1,124, - 0,106,2,131,2,83,0,110,38,124,0,106,4,114,90,100, - 5,106,3,124,1,124,0,106,1,131,2,83,0,110,16,100, - 6,106,3,124,0,106,0,124,0,106,1,131,2,83,0,100, - 1,83,0,41,7,122,38,82,101,116,117,114,110,32,116,104, - 101,32,114,101,112,114,32,116,111,32,117,115,101,32,102,111, - 114,32,116,104,101,32,109,111,100,117,108,101,46,78,114,87, - 0,0,0,122,13,60,109,111,100,117,108,101,32,123,33,114, + 0,116,1,106,2,124,1,25,0,83,0,116,4,124,2,131, + 1,83,0,100,1,83,0,41,2,122,128,76,111,97,100,32, + 116,104,101,32,115,112,101,99,105,102,105,101,100,32,109,111, + 100,117,108,101,32,105,110,116,111,32,115,121,115,46,109,111, + 100,117,108,101,115,32,97,110,100,32,114,101,116,117,114,110, + 32,105,116,46,10,10,32,32,32,32,84,104,105,115,32,109, + 101,116,104,111,100,32,105,115,32,100,101,112,114,101,99,97, + 116,101,100,46,32,32,85,115,101,32,108,111,97,100,101,114, + 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, + 114,14,0,0,0,218,7,109,111,100,117,108,101,115,218,5, + 95,101,120,101,99,218,5,95,108,111,97,100,41,4,114,26, + 0,0,0,114,71,0,0,0,218,4,115,112,101,99,218,6, + 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, + 117,108,101,95,115,104,105,109,239,0,0,0,115,12,0,0, + 0,0,6,10,1,10,1,10,1,10,1,10,2,114,84,0, + 0,0,99,1,0,0,0,0,0,0,0,5,0,0,0,35, + 0,0,0,67,0,0,0,115,216,0,0,0,116,0,124,0, 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62,122,18,60,109,111,100,117,108,101,32,123,33,114,125,32, - 40,123,125,41,62,41,5,114,15,0,0,0,114,103,0,0, - 0,114,93,0,0,0,114,38,0,0,0,114,113,0,0,0, - 41,2,114,82,0,0,0,114,15,0,0,0,114,10,0,0, - 0,114,10,0,0,0,114,11,0,0,0,114,91,0,0,0, - 58,2,0,0,115,16,0,0,0,0,3,20,1,10,1,10, - 1,12,2,16,2,6,1,16,2,114,91,0,0,0,99,2, - 0,0,0,0,0,0,0,4,0,0,0,12,0,0,0,67, - 0,0,0,115,186,0,0,0,124,0,106,0,125,2,116,1, - 106,2,131,0,1,0,116,3,124,2,131,1,143,148,1,0, - 116,4,106,5,106,6,124,2,131,1,124,1,107,9,114,62, - 100,1,106,7,124,2,131,1,125,3,116,8,124,3,124,2, - 100,2,141,2,130,1,124,0,106,9,100,3,107,8,114,114, - 124,0,106,10,100,3,107,8,114,96,116,8,100,4,124,0, - 106,0,100,2,141,2,130,1,116,11,124,0,124,1,100,5, - 100,6,141,3,1,0,124,1,83,0,116,11,124,0,124,1, - 100,5,100,6,141,3,1,0,116,12,124,0,106,9,100,7, - 131,2,115,154,124,0,106,9,106,13,124,2,131,1,1,0, - 110,12,124,0,106,9,106,14,124,1,131,1,1,0,87,0, - 100,3,81,0,82,0,88,0,116,4,106,5,124,2,25,0, - 83,0,41,8,122,70,69,120,101,99,117,116,101,32,116,104, - 101,32,115,112,101,99,39,115,32,115,112,101,99,105,102,105, - 101,100,32,109,111,100,117,108,101,32,105,110,32,97,110,32, - 101,120,105,115,116,105,110,103,32,109,111,100,117,108,101,39, - 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, - 32,115,121,115,46,109,111,100,117,108,101,115,41,1,114,15, - 0,0,0,78,122,14,109,105,115,115,105,110,103,32,108,111, - 97,100,101,114,84,41,1,114,129,0,0,0,114,135,0,0, - 0,41,15,114,15,0,0,0,114,46,0,0,0,218,12,97, - 99,113,117,105,114,101,95,108,111,99,107,114,42,0,0,0, - 114,14,0,0,0,114,79,0,0,0,114,30,0,0,0,114, - 38,0,0,0,114,70,0,0,0,114,93,0,0,0,114,106, - 0,0,0,114,133,0,0,0,114,4,0,0,0,218,11,108, - 111,97,100,95,109,111,100,117,108,101,114,135,0,0,0,41, - 4,114,82,0,0,0,114,83,0,0,0,114,15,0,0,0, - 218,3,109,115,103,114,10,0,0,0,114,10,0,0,0,114, - 11,0,0,0,114,80,0,0,0,75,2,0,0,115,32,0, - 0,0,0,2,6,1,8,1,10,1,16,1,10,1,12,1, - 10,1,10,1,14,2,14,1,4,1,14,1,12,4,14,2, - 22,1,114,80,0,0,0,99,1,0,0,0,0,0,0,0, - 2,0,0,0,27,0,0,0,67,0,0,0,115,206,0,0, - 0,124,0,106,0,106,1,124,0,106,2,131,1,1,0,116, - 3,106,4,124,0,106,2,25,0,125,1,116,5,124,1,100, - 1,100,0,131,3,100,0,107,8,114,76,121,12,124,0,106, - 0,124,1,95,6,87,0,110,20,4,0,116,7,107,10,114, - 74,1,0,1,0,1,0,89,0,110,2,88,0,116,5,124, - 1,100,2,100,0,131,3,100,0,107,8,114,154,121,40,124, - 1,106,8,124,1,95,9,116,10,124,1,100,3,131,2,115, - 130,124,0,106,2,106,11,100,4,131,1,100,5,25,0,124, - 1,95,9,87,0,110,20,4,0,116,7,107,10,114,152,1, - 0,1,0,1,0,89,0,110,2,88,0,116,5,124,1,100, - 6,100,0,131,3,100,0,107,8,114,202,121,10,124,0,124, - 1,95,12,87,0,110,20,4,0,116,7,107,10,114,200,1, - 0,1,0,1,0,89,0,110,2,88,0,124,1,83,0,41, - 7,78,114,85,0,0,0,114,130,0,0,0,114,127,0,0, - 0,114,117,0,0,0,114,19,0,0,0,114,89,0,0,0, - 41,13,114,93,0,0,0,114,138,0,0,0,114,15,0,0, - 0,114,14,0,0,0,114,79,0,0,0,114,6,0,0,0, - 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114,93,0,0,0,114,4,0,0,0,114,140,0,0,0,114, - 136,0,0,0,114,96,0,0,0,114,106,0,0,0,114,70, - 0,0,0,114,15,0,0,0,114,135,0,0,0,114,14,0, - 0,0,114,79,0,0,0,41,2,114,82,0,0,0,114,83, - 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, - 101,100,129,2,0,0,115,20,0,0,0,0,2,10,2,12, - 1,8,2,8,1,10,1,10,1,10,1,16,3,22,5,114, - 141,0,0,0,99,1,0,0,0,0,0,0,0,1,0,0, - 0,9,0,0,0,67,0,0,0,115,38,0,0,0,116,0, - 106,1,131,0,1,0,116,2,124,0,106,3,131,1,143,10, - 1,0,116,4,124,0,131,1,83,0,81,0,82,0,88,0, - 100,1,83,0,41,2,122,191,82,101,116,117,114,110,32,97, - 32,110,101,119,32,109,111,100,117,108,101,32,111,98,106,101, - 99,116,44,32,108,111,97,100,101,100,32,98,121,32,116,104, - 101,32,115,112,101,99,39,115,32,108,111,97,100,101,114,46, - 10,10,32,32,32,32,84,104,101,32,109,111,100,117,108,101, - 32,105,115,32,110,111,116,32,97,100,100,101,100,32,116,111, - 32,105,116,115,32,112,97,114,101,110,116,46,10,10,32,32, - 32,32,73,102,32,97,32,109,111,100,117,108,101,32,105,115, - 32,97,108,114,101,97,100,121,32,105,110,32,115,121,115,46, - 109,111,100,117,108,101,115,44,32,116,104,97,116,32,101,120, - 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, - 46,10,10,32,32,32,32,78,41,5,114,46,0,0,0,114, - 137,0,0,0,114,42,0,0,0,114,15,0,0,0,114,141, - 0,0,0,41,1,114,82,0,0,0,114,10,0,0,0,114, - 10,0,0,0,114,11,0,0,0,114,81,0,0,0,152,2, - 0,0,115,6,0,0,0,0,9,8,1,12,1,114,81,0, - 0,0,99,0,0,0,0,0,0,0,0,0,0,0,0,4, - 0,0,0,64,0,0,0,115,136,0,0,0,101,0,90,1, - 100,0,90,2,100,1,90,3,101,4,100,2,100,3,132,0, - 131,1,90,5,101,6,100,19,100,5,100,6,132,1,131,1, - 90,7,101,6,100,20,100,7,100,8,132,1,131,1,90,8, - 101,6,100,9,100,10,132,0,131,1,90,9,101,6,100,11, - 100,12,132,0,131,1,90,10,101,6,101,11,100,13,100,14, - 132,0,131,1,131,1,90,12,101,6,101,11,100,15,100,16, - 132,0,131,1,131,1,90,13,101,6,101,11,100,17,100,18, - 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114,11,0,0,0,218,13,95,114,101,115,111,108,118,101,95, - 110,97,109,101,75,3,0,0,115,10,0,0,0,0,2,16, - 1,12,1,8,1,8,1,114,163,0,0,0,99,3,0,0, - 0,0,0,0,0,4,0,0,0,3,0,0,0,67,0,0, - 0,115,34,0,0,0,124,0,106,0,124,1,124,2,131,2, - 125,3,124,3,100,0,107,8,114,24,100,0,83,0,116,1, - 124,1,124,3,131,2,83,0,41,1,78,41,2,114,147,0, - 0,0,114,78,0,0,0,41,4,218,6,102,105,110,100,101, - 114,114,15,0,0,0,114,144,0,0,0,114,93,0,0,0, - 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, - 99,121,84,3,0,0,115,8,0,0,0,0,3,12,1,8, - 1,4,1,114,165,0,0,0,99,3,0,0,0,0,0,0, - 0,10,0,0,0,27,0,0,0,67,0,0,0,115,244,0, - 0,0,116,0,106,1,125,3,124,3,100,1,107,8,114,22, - 116,2,100,2,131,1,130,1,124,3,115,38,116,3,106,4, - 100,3,116,5,131,2,1,0,124,0,116,0,106,6,107,6, - 125,4,120,190,124,3,68,0,93,178,125,5,116,7,131,0, - 143,72,1,0,121,10,124,5,106,8,125,6,87,0,110,42, - 4,0,116,9,107,10,114,118,1,0,1,0,1,0,116,10, - 124,5,124,0,124,1,131,3,125,7,124,7,100,1,107,8, - 114,114,119,54,89,0,110,14,88,0,124,6,124,0,124,1, - 124,2,131,3,125,7,87,0,100,1,81,0,82,0,88,0, - 124,7,100,1,107,9,114,54,124,4,12,0,114,228,124,0, - 116,0,106,6,107,6,114,228,116,0,106,6,124,0,25,0, - 125,8,121,10,124,8,106,11,125,9,87,0,110,20,4,0, - 116,9,107,10,114,206,1,0,1,0,1,0,124,7,83,0, - 88,0,124,9,100,1,107,8,114,222,124,7,83,0,113,232, + 99,1,0,0,0,0,0,0,0,1,0,0,0,1,0,0, + 0,67,0,0,0,115,12,0,0,0,116,0,106,1,131,0, + 1,0,100,1,83,0,41,2,122,24,65,99,113,117,105,114, + 101,32,116,104,101,32,105,109,112,111,114,116,32,108,111,99, + 107,46,78,41,2,114,46,0,0,0,114,137,0,0,0,41, + 1,114,26,0,0,0,114,10,0,0,0,114,10,0,0,0, + 114,11,0,0,0,114,48,0,0,0,66,3,0,0,115,2, + 0,0,0,0,2,122,28,95,73,109,112,111,114,116,76,111, + 99,107,67,111,110,116,101,120,116,46,95,95,101,110,116,101, + 114,95,95,99,4,0,0,0,0,0,0,0,4,0,0,0, + 1,0,0,0,67,0,0,0,115,12,0,0,0,116,0,106, + 1,131,0,1,0,100,1,83,0,41,2,122,60,82,101,108, + 101,97,115,101,32,116,104,101,32,105,109,112,111,114,116,32, + 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, + 99,101,112,116,105,111,110,115,46,78,41,2,114,46,0,0, + 0,114,47,0,0,0,41,4,114,26,0,0,0,90,8,101, + 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, + 114,50,0,0,0,70,3,0,0,115,2,0,0,0,0,2, + 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, + 3,0,0,0,114,48,0,0,0,114,50,0,0,0,114,10, + 0,0,0,114,10,0,0,0,114,10,0,0,0,114,11,0, + 0,0,114,157,0,0,0,62,3,0,0,115,6,0,0,0, + 8,2,4,2,8,4,114,157,0,0,0,99,3,0,0,0, + 0,0,0,0,5,0,0,0,4,0,0,0,67,0,0,0, + 115,64,0,0,0,124,1,106,0,100,1,124,2,100,2,24, + 0,131,2,125,3,116,1,124,3,131,1,124,2,107,0,114, + 36,116,2,100,3,131,1,130,1,124,3,100,4,25,0,125, + 4,124,0,114,60,100,5,106,3,124,4,124,0,131,2,83, + 0,124,4,83,0,41,6,122,50,82,101,115,111,108,118,101, + 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, + 115,111,108,117,116,101,32,111,110,101,46,114,117,0,0,0, + 114,33,0,0,0,122,50,97,116,116,101,109,112,116,101,100, + 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, + 108,32,112,97,99,107,97,103,101,114,19,0,0,0,122,5, + 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, + 114,38,0,0,0,41,5,114,15,0,0,0,218,7,112,97, + 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, + 101,95,110,97,109,101,75,3,0,0,115,10,0,0,0,0, + 2,16,1,12,1,8,1,8,1,114,163,0,0,0,99,3, + 0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,67, + 0,0,0,115,34,0,0,0,124,0,106,0,124,1,124,2, + 131,2,125,3,124,3,100,0,107,8,114,24,100,0,83,0, + 116,1,124,1,124,3,131,2,83,0,41,1,78,41,2,114, + 147,0,0,0,114,78,0,0,0,41,4,218,6,102,105,110, + 100,101,114,114,15,0,0,0,114,144,0,0,0,114,93,0, + 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, + 103,97,99,121,84,3,0,0,115,8,0,0,0,0,3,12, + 1,8,1,4,1,114,165,0,0,0,99,3,0,0,0,0, + 0,0,0,10,0,0,0,27,0,0,0,67,0,0,0,115, + 242,0,0,0,116,0,106,1,125,3,124,3,100,1,107,8, + 114,22,116,2,100,2,131,1,130,1,124,3,115,38,116,3, + 106,4,100,3,116,5,131,2,1,0,124,0,116,0,106,6, + 107,6,125,4,120,188,124,3,68,0,93,176,125,5,116,7, + 131,0,143,72,1,0,121,10,124,5,106,8,125,6,87,0, + 110,42,4,0,116,9,107,10,114,118,1,0,1,0,1,0, + 116,10,124,5,124,0,124,1,131,3,125,7,124,7,100,1, + 107,8,114,114,119,54,89,0,110,14,88,0,124,6,124,0, + 124,1,124,2,131,3,125,7,87,0,100,1,81,0,82,0, + 88,0,124,7,100,1,107,9,114,54,124,4,12,0,114,226, + 124,0,116,0,106,6,107,6,114,226,116,0,106,6,124,0, + 25,0,125,8,121,10,124,8,106,11,125,9,87,0,110,20, + 4,0,116,9,107,10,114,206,1,0,1,0,1,0,124,7, + 83,0,88,0,124,9,100,1,107,8,114,220,124,7,83,0, 124,9,83,0,113,54,124,7,83,0,113,54,87,0,100,1, 83,0,100,1,83,0,41,4,122,21,70,105,110,100,32,97, 32,109,111,100,117,108,101,39,115,32,115,112,101,99,46,78, @@ -1449,7 +1448,7 @@ const unsigned char _Py_M__importlib[] = { 0,0,0,2,6,1,8,2,8,3,4,1,12,5,10,1, 10,1,8,1,2,1,10,1,14,1,12,1,8,1,8,2, 22,1,8,2,16,1,10,1,2,1,10,1,14,4,6,2, - 8,1,6,2,6,2,8,2,114,170,0,0,0,99,3,0, + 8,1,4,2,6,2,8,2,114,170,0,0,0,99,3,0, 0,0,0,0,0,0,4,0,0,0,4,0,0,0,67,0, 0,0,115,140,0,0,0,116,0,124,0,116,1,131,2,115, 28,116,2,100,1,106,3,116,4,124,0,131,1,131,1,131, @@ -1616,209 +1615,208 @@ const unsigned char _Py_M__importlib[] = { 0,0,0,0,10,10,1,8,1,8,1,10,1,10,1,12, 1,10,1,10,1,14,1,2,1,14,1,16,4,10,1,2, 1,24,1,114,189,0,0,0,99,1,0,0,0,0,0,0, - 0,3,0,0,0,6,0,0,0,67,0,0,0,115,150,0, + 0,3,0,0,0,6,0,0,0,67,0,0,0,115,146,0, 0,0,124,0,106,0,100,1,131,1,125,1,124,0,106,0, - 100,2,131,1,125,2,124,1,100,3,107,9,114,84,124,2, + 100,2,131,1,125,2,124,1,100,3,107,9,114,82,124,2, 100,3,107,9,114,78,124,1,124,2,106,1,107,3,114,78, 116,2,106,3,100,4,124,1,155,2,100,5,124,2,106,1, 155,2,100,6,157,5,116,4,100,7,100,8,141,3,1,0, - 124,1,83,0,110,62,124,2,100,3,107,9,114,100,124,2, - 106,1,83,0,110,46,116,2,106,3,100,9,116,4,100,7, - 100,8,141,3,1,0,124,0,100,10,25,0,125,1,100,11, - 124,0,107,7,114,146,124,1,106,5,100,12,131,1,100,13, - 25,0,125,1,124,1,83,0,41,14,122,167,67,97,108,99, - 117,108,97,116,101,32,119,104,97,116,32,95,95,112,97,99, - 107,97,103,101,95,95,32,115,104,111,117,108,100,32,98,101, - 46,10,10,32,32,32,32,95,95,112,97,99,107,97,103,101, - 95,95,32,105,115,32,110,111,116,32,103,117,97,114,97,110, - 116,101,101,100,32,116,111,32,98,101,32,100,101,102,105,110, - 101,100,32,111,114,32,99,111,117,108,100,32,98,101,32,115, - 101,116,32,116,111,32,78,111,110,101,10,32,32,32,32,116, - 111,32,114,101,112,114,101,115,101,110,116,32,116,104,97,116, - 32,105,116,115,32,112,114,111,112,101,114,32,118,97,108,117, - 101,32,105,115,32,117,110,107,110,111,119,110,46,10,10,32, - 32,32,32,114,130,0,0,0,114,89,0,0,0,78,122,32, - 95,95,112,97,99,107,97,103,101,95,95,32,33,61,32,95, - 95,115,112,101,99,95,95,46,112,97,114,101,110,116,32,40, - 122,4,32,33,61,32,250,1,41,233,3,0,0,0,41,1, - 90,10,115,116,97,99,107,108,101,118,101,108,122,89,99,97, - 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, - 95,112,97,116,104,95,95,114,1,0,0,0,114,127,0,0, - 0,114,117,0,0,0,114,19,0,0,0,41,6,114,30,0, - 0,0,114,119,0,0,0,114,167,0,0,0,114,168,0,0, - 0,114,169,0,0,0,114,118,0,0,0,41,3,218,7,103, - 108,111,98,97,108,115,114,161,0,0,0,114,82,0,0,0, - 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, - 95,95,252,3,0,0,115,30,0,0,0,0,7,10,1,10, - 1,8,1,18,1,22,2,10,1,6,1,8,1,8,2,6, - 2,10,1,8,1,8,1,14,1,114,193,0,0,0,99,5, - 0,0,0,0,0,0,0,9,0,0,0,5,0,0,0,67, - 0,0,0,115,170,0,0,0,124,4,100,1,107,2,114,18, - 116,0,124,0,131,1,125,5,110,36,124,1,100,2,107,9, - 114,30,124,1,110,2,105,0,125,6,116,1,124,6,131,1, - 125,7,116,0,124,0,124,7,124,4,131,3,125,5,124,3, - 115,154,124,4,100,1,107,2,114,86,116,0,124,0,106,2, - 100,3,131,1,100,1,25,0,131,1,83,0,113,166,124,0, - 115,96,124,5,83,0,113,166,116,3,124,0,131,1,116,3, - 124,0,106,2,100,3,131,1,100,1,25,0,131,1,24,0, - 125,8,116,4,106,5,124,5,106,6,100,2,116,3,124,5, - 106,6,131,1,124,8,24,0,133,2,25,0,25,0,83,0, - 110,12,116,7,124,5,124,3,116,0,131,3,83,0,100,2, - 83,0,41,4,97,215,1,0,0,73,109,112,111,114,116,32, - 97,32,109,111,100,117,108,101,46,10,10,32,32,32,32,84, - 104,101,32,39,103,108,111,98,97,108,115,39,32,97,114,103, - 117,109,101,110,116,32,105,115,32,117,115,101,100,32,116,111, - 32,105,110,102,101,114,32,119,104,101,114,101,32,116,104,101, - 32,105,109,112,111,114,116,32,105,115,32,111,99,99,117,114, - 114,105,110,103,32,102,114,111,109,10,32,32,32,32,116,111, - 32,104,97,110,100,108,101,32,114,101,108,97,116,105,118,101, - 32,105,109,112,111,114,116,115,46,32,84,104,101,32,39,108, - 111,99,97,108,115,39,32,97,114,103,117,109,101,110,116,32, - 105,115,32,105,103,110,111,114,101,100,46,32,84,104,101,10, - 32,32,32,32,39,102,114,111,109,108,105,115,116,39,32,97, - 114,103,117,109,101,110,116,32,115,112,101,99,105,102,105,101, - 115,32,119,104,97,116,32,115,104,111,117,108,100,32,101,120, - 105,115,116,32,97,115,32,97,116,116,114,105,98,117,116,101, - 115,32,111,110,32,116,104,101,32,109,111,100,117,108,101,10, - 32,32,32,32,98,101,105,110,103,32,105,109,112,111,114,116, - 101,100,32,40,101,46,103,46,32,96,96,102,114,111,109,32, - 109,111,100,117,108,101,32,105,109,112,111,114,116,32,60,102, - 114,111,109,108,105,115,116,62,96,96,41,46,32,32,84,104, - 101,32,39,108,101,118,101,108,39,10,32,32,32,32,97,114, - 103,117,109,101,110,116,32,114,101,112,114,101,115,101,110,116, - 115,32,116,104,101,32,112,97,99,107,97,103,101,32,108,111, - 99,97,116,105,111,110,32,116,111,32,105,109,112,111,114,116, - 32,102,114,111,109,32,105,110,32,97,32,114,101,108,97,116, - 105,118,101,10,32,32,32,32,105,109,112,111,114,116,32,40, - 101,46,103,46,32,96,96,102,114,111,109,32,46,46,112,107, - 103,32,105,109,112,111,114,116,32,109,111,100,96,96,32,119, - 111,117,108,100,32,104,97,118,101,32,97,32,39,108,101,118, - 101,108,39,32,111,102,32,50,41,46,10,10,32,32,32,32, - 114,19,0,0,0,78,114,117,0,0,0,41,8,114,182,0, - 0,0,114,193,0,0,0,218,9,112,97,114,116,105,116,105, - 111,110,114,159,0,0,0,114,14,0,0,0,114,79,0,0, - 0,114,1,0,0,0,114,189,0,0,0,41,9,114,15,0, - 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8,1,18,1,4,1,4,4,26,3,32,2,114,196,0,0, + 0,99,1,0,0,0,0,0,0,0,2,0,0,0,3,0, + 0,0,67,0,0,0,115,38,0,0,0,116,0,106,1,124, + 0,131,1,125,1,124,1,100,0,107,8,114,30,116,2,100, + 1,124,0,23,0,131,1,130,1,116,3,124,1,131,1,83, + 0,41,2,78,122,25,110,111,32,98,117,105,108,116,45,105, + 110,32,109,111,100,117,108,101,32,110,97,109,101,100,32,41, + 4,114,142,0,0,0,114,146,0,0,0,114,70,0,0,0, + 114,141,0,0,0,41,2,114,15,0,0,0,114,82,0,0, + 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, + 110,97,109,101,58,4,0,0,115,8,0,0,0,0,1,10, + 1,8,1,12,1,114,197,0,0,0,99,2,0,0,0,0, + 0,0,0,12,0,0,0,12,0,0,0,67,0,0,0,115, + 244,0,0,0,124,1,97,0,124,0,97,1,116,2,116,1, + 131,1,125,2,120,86,116,1,106,3,106,4,131,0,68,0, + 93,72,92,2,125,3,125,4,116,5,124,4,124,2,131,2, + 114,28,124,3,116,1,106,6,107,6,114,62,116,7,125,5, + 110,18,116,0,106,8,124,3,131,1,114,28,116,9,125,5, + 110,2,113,28,116,10,124,4,124,5,131,2,125,6,116,11, + 124,6,124,4,131,2,1,0,113,28,87,0,116,1,106,3, + 116,12,25,0,125,7,120,54,100,5,68,0,93,46,125,8, + 124,8,116,1,106,3,107,7,114,144,116,13,124,8,131,1, + 125,9,110,10,116,1,106,3,124,8,25,0,125,9,116,14, + 124,7,124,8,124,9,131,3,1,0,113,120,87,0,121,12, + 116,13,100,2,131,1,125,10,87,0,110,24,4,0,116,15, + 107,10,114,206,1,0,1,0,1,0,100,3,125,10,89,0, + 110,2,88,0,116,14,124,7,100,2,124,10,131,3,1,0, + 116,13,100,4,131,1,125,11,116,14,124,7,100,4,124,11, + 131,3,1,0,100,3,83,0,41,6,122,250,83,101,116,117, + 112,32,105,109,112,111,114,116,108,105,98,32,98,121,32,105, + 109,112,111,114,116,105,110,103,32,110,101,101,100,101,100,32, + 98,117,105,108,116,45,105,110,32,109,111,100,117,108,101,115, + 32,97,110,100,32,105,110,106,101,99,116,105,110,103,32,116, + 104,101,109,10,32,32,32,32,105,110,116,111,32,116,104,101, + 32,103,108,111,98,97,108,32,110,97,109,101,115,112,97,99, + 101,46,10,10,32,32,32,32,65,115,32,115,121,115,32,105, + 115,32,110,101,101,100,101,100,32,102,111,114,32,115,121,115, + 46,109,111,100,117,108,101,115,32,97,99,99,101,115,115,32, + 97,110,100,32,95,105,109,112,32,105,115,32,110,101,101,100, + 101,100,32,116,111,32,108,111,97,100,32,98,117,105,108,116, + 45,105,110,10,32,32,32,32,109,111,100,117,108,101,115,44, + 32,116,104,111,115,101,32,116,119,111,32,109,111,100,117,108, + 101,115,32,109,117,115,116,32,98,101,32,101,120,112,108,105, + 99,105,116,108,121,32,112,97,115,115,101,100,32,105,110,46, + 10,10,32,32,32,32,114,167,0,0,0,114,20,0,0,0, + 78,114,55,0,0,0,41,1,114,167,0,0,0,41,16,114, + 46,0,0,0,114,14,0,0,0,114,13,0,0,0,114,79, + 0,0,0,218,5,105,116,101,109,115,114,171,0,0,0,114, + 69,0,0,0,114,142,0,0,0,114,75,0,0,0,114,152, + 0,0,0,114,128,0,0,0,114,133,0,0,0,114,1,0, + 0,0,114,197,0,0,0,114,5,0,0,0,114,70,0,0, + 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, + 100,117,108,101,95,116,121,112,101,114,15,0,0,0,114,83, + 0,0,0,114,93,0,0,0,114,82,0,0,0,90,11,115, + 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, + 0,114,11,0,0,0,218,6,95,115,101,116,117,112,65,4, + 0,0,115,50,0,0,0,0,9,4,1,4,3,8,1,20, + 1,10,1,10,1,6,1,10,1,6,2,2,1,10,1,14, + 3,10,1,10,1,10,1,10,2,10,1,16,3,2,1,12, + 1,14,2,10,1,12,3,8,1,114,201,0,0,0,99,2, + 0,0,0,0,0,0,0,3,0,0,0,3,0,0,0,67, + 0,0,0,115,66,0,0,0,116,0,124,0,124,1,131,2, + 1,0,116,1,106,2,106,3,116,4,131,1,1,0,116,1, + 106,2,106,3,116,5,131,1,1,0,100,1,100,2,108,6, + 125,2,124,2,97,7,124,2,106,8,116,1,106,9,116,10, + 25,0,131,1,1,0,100,2,83,0,41,3,122,50,73,110, + 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, + 114,19,0,0,0,78,41,11,114,201,0,0,0,114,14,0, + 0,0,114,166,0,0,0,114,109,0,0,0,114,142,0,0, + 0,114,152,0,0,0,218,26,95,102,114,111,122,101,110,95, + 105,109,112,111,114,116,108,105,98,95,101,120,116,101,114,110, + 97,108,114,115,0,0,0,218,8,95,105,110,115,116,97,108, + 108,114,79,0,0,0,114,1,0,0,0,41,3,114,199,0, + 0,0,114,200,0,0,0,114,202,0,0,0,114,10,0,0, + 0,114,10,0,0,0,114,11,0,0,0,114,203,0,0,0, + 112,4,0,0,115,12,0,0,0,0,2,10,2,12,1,12, + 3,8,1,4,1,114,203,0,0,0,41,2,78,78,41,1, + 78,41,2,78,114,19,0,0,0,41,50,114,3,0,0,0, + 114,115,0,0,0,114,12,0,0,0,114,16,0,0,0,114, + 51,0,0,0,114,29,0,0,0,114,36,0,0,0,114,17, + 0,0,0,114,18,0,0,0,114,41,0,0,0,114,42,0, + 0,0,114,45,0,0,0,114,56,0,0,0,114,58,0,0, + 0,114,68,0,0,0,114,74,0,0,0,114,77,0,0,0, + 114,84,0,0,0,114,95,0,0,0,114,96,0,0,0,114, + 102,0,0,0,114,78,0,0,0,218,6,111,98,106,101,99, + 116,90,9,95,80,79,80,85,76,65,84,69,114,128,0,0, + 0,114,133,0,0,0,114,136,0,0,0,114,91,0,0,0, + 114,80,0,0,0,114,140,0,0,0,114,141,0,0,0,114, + 81,0,0,0,114,142,0,0,0,114,152,0,0,0,114,157, + 0,0,0,114,163,0,0,0,114,165,0,0,0,114,170,0, + 0,0,114,175,0,0,0,90,15,95,69,82,82,95,77,83, + 71,95,80,82,69,70,73,88,114,177,0,0,0,114,180,0, + 0,0,114,181,0,0,0,114,182,0,0,0,114,189,0,0, + 0,114,193,0,0,0,114,196,0,0,0,114,197,0,0,0, + 114,201,0,0,0,114,203,0,0,0,114,10,0,0,0,114, + 10,0,0,0,114,10,0,0,0,114,11,0,0,0,218,8, + 60,109,111,100,117,108,101,62,8,0,0,0,115,94,0,0, + 0,4,17,4,2,8,8,8,7,4,2,4,3,16,4,14, + 68,14,21,14,19,8,19,8,19,8,11,14,8,8,11,8, + 12,8,16,8,36,14,27,14,101,16,26,6,3,10,45,14, + 60,8,17,8,17,8,25,8,29,8,23,8,16,14,73,14, + 77,14,13,8,9,8,9,10,47,8,20,4,1,8,2,8, + 27,8,6,10,25,8,31,8,27,18,35,8,7,8,47, }; diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 0afe7dea94..c5ebc6054c 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -459,1979 +459,1978 @@ const unsigned char _Py_M__importlib_external[] = { 101,85,1,0,0,115,20,0,0,0,0,7,12,1,4,1, 16,1,26,1,4,1,2,1,12,1,18,1,18,1,114,95, 0,0,0,99,1,0,0,0,0,0,0,0,1,0,0,0, - 11,0,0,0,67,0,0,0,115,74,0,0,0,124,0,106, + 11,0,0,0,67,0,0,0,115,72,0,0,0,124,0,106, 0,116,1,116,2,131,1,131,1,114,46,121,8,116,3,124, 0,131,1,83,0,4,0,116,4,107,10,114,42,1,0,1, - 0,1,0,89,0,113,70,88,0,110,24,124,0,106,0,116, - 1,116,5,131,1,131,1,114,66,124,0,83,0,110,4,100, - 0,83,0,100,0,83,0,41,1,78,41,6,218,8,101,110, - 100,115,119,105,116,104,218,5,116,117,112,108,101,114,88,0, - 0,0,114,83,0,0,0,114,70,0,0,0,114,78,0,0, - 0,41,1,218,8,102,105,108,101,110,97,109,101,114,4,0, - 0,0,114,4,0,0,0,114,6,0,0,0,218,11,95,103, - 101,116,95,99,97,99,104,101,100,104,1,0,0,115,16,0, - 0,0,0,1,14,1,2,1,8,1,14,1,8,1,14,1, - 6,2,114,99,0,0,0,99,1,0,0,0,0,0,0,0, - 2,0,0,0,11,0,0,0,67,0,0,0,115,52,0,0, - 0,121,14,116,0,124,0,131,1,106,1,125,1,87,0,110, - 24,4,0,116,2,107,10,114,38,1,0,1,0,1,0,100, - 1,125,1,89,0,110,2,88,0,124,1,100,2,79,0,125, - 1,124,1,83,0,41,3,122,51,67,97,108,99,117,108,97, - 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, - 0,233,128,0,0,0,41,3,114,41,0,0,0,114,43,0, - 0,0,114,42,0,0,0,41,2,114,37,0,0,0,114,44, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,10,95,99,97,108,99,95,109,111,100,101,116,1, - 0,0,115,12,0,0,0,0,2,2,1,14,1,14,1,10, - 3,8,1,114,101,0,0,0,99,1,0,0,0,0,0,0, - 0,3,0,0,0,11,0,0,0,3,0,0,0,115,68,0, - 0,0,100,6,135,0,102,1,100,2,100,3,132,9,125,1, - 121,10,116,0,106,1,125,2,87,0,110,28,4,0,116,2, - 107,10,114,52,1,0,1,0,1,0,100,4,100,5,132,0, - 125,2,89,0,110,2,88,0,124,2,124,1,136,0,131,2, - 1,0,124,1,83,0,41,7,122,252,68,101,99,111,114,97, - 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, - 4,0,0,0,4,0,0,0,31,0,0,0,115,66,0,0, - 0,124,1,100,0,107,8,114,16,124,0,106,0,125,1,110, - 32,124,0,106,0,124,1,107,3,114,48,116,1,100,1,124, - 0,106,0,124,1,102,2,22,0,124,1,100,2,141,2,130, - 1,136,0,124,0,124,1,102,2,124,2,158,2,124,3,142, - 1,83,0,41,3,78,122,30,108,111,97,100,101,114,32,102, - 111,114,32,37,115,32,99,97,110,110,111,116,32,104,97,110, - 100,108,101,32,37,115,41,1,218,4,110,97,109,101,41,2, - 114,102,0,0,0,218,11,73,109,112,111,114,116,69,114,114, - 111,114,41,4,218,4,115,101,108,102,114,102,0,0,0,218, - 4,97,114,103,115,90,6,107,119,97,114,103,115,41,1,218, - 6,109,101,116,104,111,100,114,4,0,0,0,114,6,0,0, - 0,218,19,95,99,104,101,99,107,95,110,97,109,101,95,119, - 114,97,112,112,101,114,136,1,0,0,115,12,0,0,0,0, - 1,8,1,8,1,10,1,4,1,18,1,122,40,95,99,104, - 101,99,107,95,110,97,109,101,46,60,108,111,99,97,108,115, - 62,46,95,99,104,101,99,107,95,110,97,109,101,95,119,114, - 97,112,112,101,114,99,2,0,0,0,0,0,0,0,3,0, - 0,0,7,0,0,0,83,0,0,0,115,60,0,0,0,120, - 40,100,5,68,0,93,32,125,2,116,0,124,1,124,2,131, - 2,114,6,116,1,124,0,124,2,116,2,124,1,124,2,131, - 2,131,3,1,0,113,6,87,0,124,0,106,3,106,4,124, - 1,106,3,131,1,1,0,100,0,83,0,41,6,78,218,10, - 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, - 95,95,218,7,95,95,100,111,99,95,95,41,4,114,108,0, - 0,0,114,109,0,0,0,114,110,0,0,0,114,111,0,0, - 0,41,5,218,7,104,97,115,97,116,116,114,218,7,115,101, - 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, - 41,3,90,3,110,101,119,90,3,111,108,100,114,55,0,0, + 0,1,0,89,0,113,68,88,0,110,22,124,0,106,0,116, + 1,116,5,131,1,131,1,114,64,124,0,83,0,100,0,83, + 0,100,0,83,0,41,1,78,41,6,218,8,101,110,100,115, + 119,105,116,104,218,5,116,117,112,108,101,114,88,0,0,0, + 114,83,0,0,0,114,70,0,0,0,114,78,0,0,0,41, + 1,218,8,102,105,108,101,110,97,109,101,114,4,0,0,0, + 114,4,0,0,0,114,6,0,0,0,218,11,95,103,101,116, + 95,99,97,99,104,101,100,104,1,0,0,115,16,0,0,0, + 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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, - 78,114,102,0,0,0,122,10,60,98,121,116,101,99,111,100, - 101,62,114,37,0,0,0,114,14,0,0,0,233,8,0,0, - 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, - 12,77,65,71,73,67,95,78,85,77,66,69,82,114,50,0, - 0,0,114,118,0,0,0,218,16,95,118,101,114,98,111,115, - 101,95,109,101,115,115,97,103,101,114,103,0,0,0,114,33, - 0,0,0,218,8,69,79,70,69,114,114,111,114,114,16,0, - 0,0,218,8,75,101,121,69,114,114,111,114,114,21,0,0, - 0,41,11,114,56,0,0,0,218,12,115,111,117,114,99,101, - 95,115,116,97,116,115,114,102,0,0,0,114,37,0,0,0, - 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, - 97,109,112,90,8,114,97,119,95,115,105,122,101,114,79,0, - 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, - 0,0,114,4,0,0,0,114,6,0,0,0,218,25,95,118, - 97,108,105,100,97,116,101,95,98,121,116,101,99,111,100,101, - 95,104,101,97,100,101,114,173,1,0,0,115,76,0,0,0, - 0,11,4,1,8,1,10,3,4,1,8,1,8,1,12,1, - 12,1,12,1,8,1,12,1,12,1,14,1,12,1,10,1, - 12,1,10,1,12,1,10,1,12,1,8,1,10,1,2,1, - 16,1,16,1,6,2,14,1,10,1,12,1,12,1,2,1, - 16,1,16,1,6,2,14,1,12,1,6,1,114,139,0,0, - 0,99,4,0,0,0,0,0,0,0,5,0,0,0,5,0, - 0,0,67,0,0,0,115,82,0,0,0,116,0,106,1,124, - 0,131,1,125,4,116,2,124,4,116,3,131,2,114,58,116, - 4,106,5,100,1,124,2,131,2,1,0,124,3,100,2,107, - 9,114,52,116,6,106,7,124,4,124,3,131,2,1,0,124, - 4,83,0,110,20,116,8,100,3,106,9,124,2,131,1,124, - 1,124,2,100,4,141,3,130,1,100,2,83,0,41,5,122, - 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, - 111,98,106,101,99,116,32,105,110,32,123,33,114,125,41,2, - 114,102,0,0,0,114,37,0,0,0,41,10,218,7,109,97, - 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, - 116,121,112,101,114,118,0,0,0,114,133,0,0,0,218,4, - 95,105,109,112,90,16,95,102,105,120,95,99,111,95,102,105, - 108,101,110,97,109,101,114,103,0,0,0,114,50,0,0,0, - 41,5,114,56,0,0,0,114,102,0,0,0,114,93,0,0, - 0,114,94,0,0,0,218,4,99,111,100,101,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,218,17,95,99,111, - 109,112,105,108,101,95,98,121,116,101,99,111,100,101,228,1, - 0,0,115,16,0,0,0,0,2,10,1,10,1,12,1,8, - 1,12,1,6,2,10,1,114,145,0,0,0,114,62,0,0, - 0,99,3,0,0,0,0,0,0,0,4,0,0,0,3,0, - 0,0,67,0,0,0,115,56,0,0,0,116,0,116,1,131, - 1,125,3,124,3,106,2,116,3,124,1,131,1,131,1,1, - 0,124,3,106,2,116,3,124,2,131,1,131,1,1,0,124, - 3,106,2,116,4,106,5,124,0,131,1,131,1,1,0,124, - 3,83,0,41,1,122,80,67,111,109,112,105,108,101,32,97, - 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, - 114,114,97,121,114,132,0,0,0,218,6,101,120,116,101,110, - 100,114,19,0,0,0,114,140,0,0,0,90,5,100,117,109, - 112,115,41,4,114,144,0,0,0,114,130,0,0,0,114,138, - 0,0,0,114,56,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,218,17,95,99,111,100,101,95,116, - 111,95,98,121,116,101,99,111,100,101,240,1,0,0,115,10, - 0,0,0,0,3,8,1,14,1,14,1,16,1,114,148,0, - 0,0,99,1,0,0,0,0,0,0,0,5,0,0,0,4, - 0,0,0,67,0,0,0,115,62,0,0,0,100,1,100,2, - 108,0,125,1,116,1,106,2,124,0,131,1,106,3,125,2, - 124,1,106,4,124,2,131,1,125,3,116,1,106,5,100,2, - 100,3,131,2,125,4,124,4,106,6,124,0,106,6,124,3, - 100,1,25,0,131,1,131,1,83,0,41,4,122,121,68,101, - 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, - 103,46,10,32,32,32,32,114,62,0,0,0,78,84,41,7, - 218,8,116,111,107,101,110,105,122,101,114,52,0,0,0,90, - 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, - 95,98,121,116,101,115,114,149,0,0,0,90,21,115,111,117, - 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, - 0,0,114,4,0,0,0,114,6,0,0,0,218,13,100,101, - 99,111,100,101,95,115,111,117,114,99,101,250,1,0,0,115, - 10,0,0,0,0,5,8,1,12,1,10,1,12,1,114,153, - 0,0,0,41,2,114,124,0,0,0,218,26,115,117,98,109, - 111,100,117,108,101,95,115,101,97,114,99,104,95,108,111,99, - 97,116,105,111,110,115,99,2,0,0,0,2,0,0,0,9, - 0,0,0,19,0,0,0,67,0,0,0,115,18,1,0,0, - 124,1,100,1,107,8,114,60,100,2,125,1,116,0,124,2, - 100,3,131,2,114,70,121,14,124,2,106,1,124,0,131,1, - 125,1,87,0,113,70,4,0,116,2,107,10,114,56,1,0, - 1,0,1,0,89,0,113,70,88,0,110,10,116,3,106,4, - 124,1,131,1,125,1,116,5,106,6,124,0,124,2,124,1, - 100,4,141,3,125,4,100,5,124,4,95,7,124,2,100,1, - 107,8,114,156,120,54,116,8,131,0,68,0,93,40,92,2, - 125,5,125,6,124,1,106,9,116,10,124,6,131,1,131,1, - 114,108,124,5,124,0,124,1,131,2,125,2,124,2,124,4, - 95,11,80,0,113,108,87,0,100,1,83,0,124,3,116,12, - 107,8,114,222,116,0,124,2,100,6,131,2,114,228,121,14, - 124,2,106,13,124,0,131,1,125,7,87,0,110,20,4,0, - 116,2,107,10,114,208,1,0,1,0,1,0,89,0,113,228, - 88,0,124,7,114,228,103,0,124,4,95,14,110,6,124,3, - 124,4,95,14,124,4,106,14,103,0,107,2,144,1,114,14, - 124,1,144,1,114,14,116,15,124,1,131,1,100,7,25,0, - 125,8,124,4,106,14,106,16,124,8,131,1,1,0,124,4, - 83,0,41,8,97,61,1,0,0,82,101,116,117,114,110,32, - 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, - 105,110,100,105,99,97,116,101,32,116,104,97,116,32,116,104, - 101,32,109,111,100,117,108,101,32,105,115,32,97,32,112,97, - 99,107,97,103,101,44,32,115,101,116,10,32,32,32,32,115, - 117,98,109,111,100,117,108,101,95,115,101,97,114,99,104,95, - 108,111,99,97,116,105,111,110,115,32,116,111,32,97,32,108, - 105,115,116,32,111,102,32,100,105,114,101,99,116,111,114,121, - 32,112,97,116,104,115,46,32,32,65,110,10,32,32,32,32, - 101,109,112,116,121,32,108,105,115,116,32,105,115,32,115,117, - 102,102,105,99,105,101,110,116,44,32,116,104,111,117,103,104, - 32,105,116,115,32,110,111,116,32,111,116,104,101,114,119,105, - 115,101,32,117,115,101,102,117,108,32,116,111,32,116,104,101, - 10,32,32,32,32,105,109,112,111,114,116,32,115,121,115,116, - 101,109,46,10,10,32,32,32,32,84,104,101,32,108,111,97, - 100,101,114,32,109,117,115,116,32,116,97,107,101,32,97,32, - 115,112,101,99,32,97,115,32,105,116,115,32,111,110,108,121, - 32,95,95,105,110,105,116,95,95,40,41,32,97,114,103,46, - 10,10,32,32,32,32,78,122,9,60,117,110,107,110,111,119, - 110,62,218,12,103,101,116,95,102,105,108,101,110,97,109,101, - 41,1,218,6,111,114,105,103,105,110,84,218,10,105,115,95, - 112,97,99,107,97,103,101,114,62,0,0,0,41,17,114,112, - 0,0,0,114,155,0,0,0,114,103,0,0,0,114,3,0, - 0,0,114,67,0,0,0,114,118,0,0,0,218,10,77,111, - 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114,6,0,0,0,218,16,95,115,101,97,114,99,104,95,114, + 101,103,105,115,116,114,121,98,2,0,0,115,22,0,0,0, + 0,2,6,1,8,2,6,1,6,1,22,1,2,1,12,1, + 26,1,14,1,6,1,122,38,87,105,110,100,111,119,115,82, + 101,103,105,115,116,114,121,70,105,110,100,101,114,46,95,115, + 101,97,114,99,104,95,114,101,103,105,115,116,114,121,78,99, + 4,0,0,0,0,0,0,0,8,0,0,0,14,0,0,0, + 67,0,0,0,115,120,0,0,0,124,0,106,0,124,1,131, + 1,125,4,124,4,100,0,107,8,114,22,100,0,83,0,121, + 12,116,1,124,4,131,1,1,0,87,0,110,20,4,0,116, + 2,107,10,114,54,1,0,1,0,1,0,100,0,83,0,88, + 0,120,58,116,3,131,0,68,0,93,48,92,2,125,5,125, + 6,124,4,106,4,116,5,124,6,131,1,131,1,114,64,116, + 6,106,7,124,1,124,5,124,1,124,4,131,2,124,4,100, + 1,141,3,125,7,124,7,83,0,113,64,87,0,100,0,83, + 0,41,2,78,41,1,114,156,0,0,0,41,8,114,175,0, + 0,0,114,41,0,0,0,114,42,0,0,0,114,159,0,0, + 0,114,96,0,0,0,114,97,0,0,0,114,118,0,0,0, + 218,16,115,112,101,99,95,102,114,111,109,95,108,111,97,100, + 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110,92,80,121,116,104,111,110,67,111,114,101,92,123,115,121, - 115,95,118,101,114,115,105,111,110,125,92,77,111,100,117,108, - 101,115,92,123,102,117,108,108,110,97,109,101,125,92,68,101, - 98,117,103,70,99,2,0,0,0,0,0,0,0,2,0,0, - 0,11,0,0,0,67,0,0,0,115,50,0,0,0,121,14, - 116,0,106,1,116,0,106,2,124,1,131,2,83,0,4,0, - 116,3,107,10,114,44,1,0,1,0,1,0,116,0,106,1, - 116,0,106,4,124,1,131,2,83,0,88,0,100,0,83,0, - 41,1,78,41,5,218,7,95,119,105,110,114,101,103,90,7, - 79,112,101,110,75,101,121,90,17,72,75,69,89,95,67,85, - 82,82,69,78,84,95,85,83,69,82,114,42,0,0,0,90, - 18,72,75,69,89,95,76,79,67,65,76,95,77,65,67,72, - 73,78,69,41,2,218,3,99,108,115,114,5,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,14, - 95,111,112,101,110,95,114,101,103,105,115,116,114,121,91,2, - 0,0,115,8,0,0,0,0,2,2,1,14,1,14,1,122, - 36,87,105,110,100,111,119,115,82,101,103,105,115,116,114,121, - 70,105,110,100,101,114,46,95,111,112,101,110,95,114,101,103, - 105,115,116,114,121,99,2,0,0,0,0,0,0,0,6,0, - 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218,8,102,105,108,101,112,97,116,104,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,218,16,95,115,101,97,114, - 99,104,95,114,101,103,105,115,116,114,121,98,2,0,0,115, - 22,0,0,0,0,2,6,1,8,2,6,1,6,1,22,1, - 2,1,12,1,26,1,14,1,6,1,122,38,87,105,110,100, - 111,119,115,82,101,103,105,115,116,114,121,70,105,110,100,101, - 114,46,95,115,101,97,114,99,104,95,114,101,103,105,115,116, - 114,121,78,99,4,0,0,0,0,0,0,0,8,0,0,0, - 14,0,0,0,67,0,0,0,115,120,0,0,0,124,0,106, - 0,124,1,131,1,125,4,124,4,100,0,107,8,114,22,100, - 0,83,0,121,12,116,1,124,4,131,1,1,0,87,0,110, - 20,4,0,116,2,107,10,114,54,1,0,1,0,1,0,100, - 0,83,0,88,0,120,58,116,3,131,0,68,0,93,48,92, - 2,125,5,125,6,124,4,106,4,116,5,124,6,131,1,131, - 1,114,64,116,6,106,7,124,1,124,5,124,1,124,4,131, - 2,124,4,100,1,141,3,125,7,124,7,83,0,113,64,87, - 0,100,0,83,0,41,2,78,41,1,114,156,0,0,0,41, - 8,114,175,0,0,0,114,41,0,0,0,114,42,0,0,0, - 114,159,0,0,0,114,96,0,0,0,114,97,0,0,0,114, - 118,0,0,0,218,16,115,112,101,99,95,102,114,111,109,95, 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120,101,99,95,109,111,100,117,108,101,40,41,32,105,110,115, - 116,101,97,100,46,10,10,32,32,32,32,32,32,32,32,78, - 41,2,114,178,0,0,0,114,124,0,0,0,41,4,114,168, - 0,0,0,114,123,0,0,0,114,37,0,0,0,114,162,0, - 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,218,11,102,105,110,100,95,109,111,100,117,108,101,129,2, - 0,0,115,8,0,0,0,0,7,12,1,8,1,8,2,122, - 33,87,105,110,100,111,119,115,82,101,103,105,115,116,114,121, - 70,105,110,100,101,114,46,102,105,110,100,95,109,111,100,117, - 108,101,41,2,78,78,41,1,78,41,12,114,109,0,0,0, - 114,108,0,0,0,114,110,0,0,0,114,111,0,0,0,114, - 172,0,0,0,114,171,0,0,0,114,170,0,0,0,218,11, - 99,108,97,115,115,109,101,116,104,111,100,114,169,0,0,0, - 114,175,0,0,0,114,178,0,0,0,114,179,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,166,0,0,0,79,2,0,0,115,20,0,0, - 0,8,2,4,3,4,3,4,2,4,2,12,7,12,15,2, - 1,12,15,2,1,114,166,0,0,0,99,0,0,0,0,0, - 0,0,0,0,0,0,0,2,0,0,0,64,0,0,0,115, - 48,0,0,0,101,0,90,1,100,0,90,2,100,1,90,3, - 100,2,100,3,132,0,90,4,100,4,100,5,132,0,90,5, - 100,6,100,7,132,0,90,6,100,8,100,9,132,0,90,7, - 100,10,83,0,41,11,218,13,95,76,111,97,100,101,114,66, - 97,115,105,99,115,122,83,66,97,115,101,32,99,108,97,115, - 115,32,111,102,32,99,111,109,109,111,110,32,99,111,100,101, - 32,110,101,101,100,101,100,32,98,121,32,98,111,116,104,32, - 83,111,117,114,99,101,76,111,97,100,101,114,32,97,110,100, - 10,32,32,32,32,83,111,117,114,99,101,108,101,115,115,70, - 105,108,101,76,111,97,100,101,114,46,99,2,0,0,0,0, - 0,0,0,5,0,0,0,3,0,0,0,67,0,0,0,115, - 64,0,0,0,116,0,124,0,106,1,124,1,131,1,131,1, - 100,1,25,0,125,2,124,2,106,2,100,2,100,1,131,2, - 100,3,25,0,125,3,124,1,106,3,100,2,131,1,100,4, - 25,0,125,4,124,3,100,5,107,2,111,62,124,4,100,5, - 107,3,83,0,41,6,122,141,67,111,110,99,114,101,116,101, - 32,105,109,112,108,101,109,101,110,116,97,116,105,111,110,32, - 111,102,32,73,110,115,112,101,99,116,76,111,97,100,101,114, - 46,105,115,95,112,97,99,107,97,103,101,32,98,121,32,99, - 104,101,99,107,105,110,103,32,105,102,10,32,32,32,32,32, - 32,32,32,116,104,101,32,112,97,116,104,32,114,101,116,117, - 114,110,101,100,32,98,121,32,103,101,116,95,102,105,108,101, - 110,97,109,101,32,104,97,115,32,97,32,102,105,108,101,110, - 97,109,101,32,111,102,32,39,95,95,105,110,105,116,95,95, - 46,112,121,39,46,114,31,0,0,0,114,61,0,0,0,114, - 62,0,0,0,114,59,0,0,0,218,8,95,95,105,110,105, - 116,95,95,41,4,114,40,0,0,0,114,155,0,0,0,114, - 36,0,0,0,114,34,0,0,0,41,5,114,104,0,0,0, - 114,123,0,0,0,114,98,0,0,0,90,13,102,105,108,101, - 110,97,109,101,95,98,97,115,101,90,9,116,97,105,108,95, - 110,97,109,101,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,157,0,0,0,148,2,0,0,115,8,0,0, - 0,0,3,18,1,16,1,14,1,122,24,95,76,111,97,100, - 101,114,66,97,115,105,99,115,46,105,115,95,112,97,99,107, - 97,103,101,99,2,0,0,0,0,0,0,0,2,0,0,0, - 1,0,0,0,67,0,0,0,115,4,0,0,0,100,1,83, - 0,41,2,122,42,85,115,101,32,100,101,102,97,117,108,116, - 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, - 114,4,0,0,0,41,2,114,104,0,0,0,114,162,0,0, - 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 218,13,99,114,101,97,116,101,95,109,111,100,117,108,101,156, - 2,0,0,115,0,0,0,0,122,27,95,76,111,97,100,101, - 114,66,97,115,105,99,115,46,99,114,101,97,116,101,95,109, - 111,100,117,108,101,99,2,0,0,0,0,0,0,0,3,0, - 0,0,4,0,0,0,67,0,0,0,115,56,0,0,0,124, - 0,106,0,124,1,106,1,131,1,125,2,124,2,100,1,107, - 8,114,36,116,2,100,2,106,3,124,1,106,1,131,1,131, - 1,130,1,116,4,106,5,116,6,124,2,124,1,106,7,131, - 3,1,0,100,1,83,0,41,3,122,19,69,120,101,99,117, - 116,101,32,116,104,101,32,109,111,100,117,108,101,46,78,122, - 52,99,97,110,110,111,116,32,108,111,97,100,32,109,111,100, - 117,108,101,32,123,33,114,125,32,119,104,101,110,32,103,101, - 116,95,99,111,100,101,40,41,32,114,101,116,117,114,110,115, - 32,78,111,110,101,41,8,218,8,103,101,116,95,99,111,100, - 101,114,109,0,0,0,114,103,0,0,0,114,50,0,0,0, - 114,118,0,0,0,218,25,95,99,97,108,108,95,119,105,116, - 104,95,102,114,97,109,101,115,95,114,101,109,111,118,101,100, - 218,4,101,120,101,99,114,115,0,0,0,41,3,114,104,0, - 0,0,218,6,109,111,100,117,108,101,114,144,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,11, - 101,120,101,99,95,109,111,100,117,108,101,159,2,0,0,115, - 10,0,0,0,0,2,12,1,8,1,6,1,10,1,122,25, - 95,76,111,97,100,101,114,66,97,115,105,99,115,46,101,120, - 101,99,95,109,111,100,117,108,101,99,2,0,0,0,0,0, - 0,0,2,0,0,0,3,0,0,0,67,0,0,0,115,12, - 0,0,0,116,0,106,1,124,0,124,1,131,2,83,0,41, - 1,122,26,84,104,105,115,32,109,111,100,117,108,101,32,105, - 115,32,100,101,112,114,101,99,97,116,101,100,46,41,2,114, - 118,0,0,0,218,17,95,108,111,97,100,95,109,111,100,117, - 108,101,95,115,104,105,109,41,2,114,104,0,0,0,114,123, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,11,108,111,97,100,95,109,111,100,117,108,101,167, - 2,0,0,115,2,0,0,0,0,2,122,25,95,76,111,97, - 100,101,114,66,97,115,105,99,115,46,108,111,97,100,95,109, - 111,100,117,108,101,78,41,8,114,109,0,0,0,114,108,0, - 0,0,114,110,0,0,0,114,111,0,0,0,114,157,0,0, - 0,114,183,0,0,0,114,188,0,0,0,114,190,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,181,0,0,0,143,2,0,0,115,10,0, - 0,0,8,3,4,2,8,8,8,3,8,8,114,181,0,0, - 0,99,0,0,0,0,0,0,0,0,0,0,0,0,3,0, - 0,0,64,0,0,0,115,74,0,0,0,101,0,90,1,100, - 0,90,2,100,1,100,2,132,0,90,3,100,3,100,4,132, - 0,90,4,100,5,100,6,132,0,90,5,100,7,100,8,132, - 0,90,6,100,9,100,10,132,0,90,7,100,18,100,12,156, - 1,100,13,100,14,132,2,90,8,100,15,100,16,132,0,90, - 9,100,17,83,0,41,19,218,12,83,111,117,114,99,101,76, - 111,97,100,101,114,99,2,0,0,0,0,0,0,0,2,0, - 0,0,1,0,0,0,67,0,0,0,115,8,0,0,0,116, - 0,130,1,100,1,83,0,41,2,122,178,79,112,116,105,111, - 110,97,108,32,109,101,116,104,111,100,32,116,104,97,116,32, - 114,101,116,117,114,110,115,32,116,104,101,32,109,111,100,105, - 102,105,99,97,116,105,111,110,32,116,105,109,101,32,40,97, - 110,32,105,110,116,41,32,102,111,114,32,116,104,101,10,32, - 32,32,32,32,32,32,32,115,112,101,99,105,102,105,101,100, - 32,112,97,116,104,44,32,119,104,101,114,101,32,112,97,116, - 104,32,105,115,32,97,32,115,116,114,46,10,10,32,32,32, - 32,32,32,32,32,82,97,105,115,101,115,32,73,79,69,114, - 114,111,114,32,119,104,101,110,32,116,104,101,32,112,97,116, - 104,32,99,97,110,110,111,116,32,98,101,32,104,97,110,100, - 108,101,100,46,10,32,32,32,32,32,32,32,32,78,41,1, - 218,7,73,79,69,114,114,111,114,41,2,114,104,0,0,0, - 114,37,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,218,10,112,97,116,104,95,109,116,105,109,101, - 174,2,0,0,115,2,0,0,0,0,6,122,23,83,111,117, - 114,99,101,76,111,97,100,101,114,46,112,97,116,104,95,109, - 116,105,109,101,99,2,0,0,0,0,0,0,0,2,0,0, - 0,3,0,0,0,67,0,0,0,115,14,0,0,0,100,1, - 124,0,106,0,124,1,131,1,105,1,83,0,41,2,97,170, - 1,0,0,79,112,116,105,111,110,97,108,32,109,101,116,104, - 111,100,32,114,101,116,117,114,110,105,110,103,32,97,32,109, - 101,116,97,100,97,116,97,32,100,105,99,116,32,102,111,114, - 32,116,104,101,32,115,112,101,99,105,102,105,101,100,32,112, - 97,116,104,10,32,32,32,32,32,32,32,32,116,111,32,98, - 121,32,116,104,101,32,112,97,116,104,32,40,115,116,114,41, - 46,10,32,32,32,32,32,32,32,32,80,111,115,115,105,98, - 108,101,32,107,101,121,115,58,10,32,32,32,32,32,32,32, - 32,45,32,39,109,116,105,109,101,39,32,40,109,97,110,100, - 97,116,111,114,121,41,32,105,115,32,116,104,101,32,110,117, - 109,101,114,105,99,32,116,105,109,101,115,116,97,109,112,32, - 111,102,32,108,97,115,116,32,115,111,117,114,99,101,10,32, - 32,32,32,32,32,32,32,32,32,99,111,100,101,32,109,111, - 100,105,102,105,99,97,116,105,111,110,59,10,32,32,32,32, - 32,32,32,32,45,32,39,115,105,122,101,39,32,40,111,112, - 116,105,111,110,97,108,41,32,105,115,32,116,104,101,32,115, - 105,122,101,32,105,110,32,98,121,116,101,115,32,111,102,32, - 116,104,101,32,115,111,117,114,99,101,32,99,111,100,101,46, - 10,10,32,32,32,32,32,32,32,32,73,109,112,108,101,109, - 101,110,116,105,110,103,32,116,104,105,115,32,109,101,116,104, - 111,100,32,97,108,108,111,119,115,32,116,104,101,32,108,111, - 97,100,101,114,32,116,111,32,114,101,97,100,32,98,121,116, - 101,99,111,100,101,32,102,105,108,101,115,46,10,32,32,32, - 32,32,32,32,32,82,97,105,115,101,115,32,73,79,69,114, - 114,111,114,32,119,104,101,110,32,116,104,101,32,112,97,116, - 104,32,99,97,110,110,111,116,32,98,101,32,104,97,110,100, - 108,101,100,46,10,32,32,32,32,32,32,32,32,114,130,0, - 0,0,41,1,114,193,0,0,0,41,2,114,104,0,0,0, - 114,37,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,218,10,112,97,116,104,95,115,116,97,116,115, - 182,2,0,0,115,2,0,0,0,0,11,122,23,83,111,117, - 114,99,101,76,111,97,100,101,114,46,112,97,116,104,95,115, - 116,97,116,115,99,4,0,0,0,0,0,0,0,4,0,0, - 0,3,0,0,0,67,0,0,0,115,12,0,0,0,124,0, - 106,0,124,2,124,3,131,2,83,0,41,1,122,228,79,112, - 116,105,111,110,97,108,32,109,101,116,104,111,100,32,119,104, - 105,99,104,32,119,114,105,116,101,115,32,100,97,116,97,32, - 40,98,121,116,101,115,41,32,116,111,32,97,32,102,105,108, - 101,32,112,97,116,104,32,40,97,32,115,116,114,41,46,10, - 10,32,32,32,32,32,32,32,32,73,109,112,108,101,109,101, - 110,116,105,110,103,32,116,104,105,115,32,109,101,116,104,111, - 100,32,97,108,108,111,119,115,32,102,111,114,32,116,104,101, - 32,119,114,105,116,105,110,103,32,111,102,32,98,121,116,101, - 99,111,100,101,32,102,105,108,101,115,46,10,10,32,32,32, - 32,32,32,32,32,84,104,101,32,115,111,117,114,99,101,32, - 112,97,116,104,32,105,115,32,110,101,101,100,101,100,32,105, - 110,32,111,114,100,101,114,32,116,111,32,99,111,114,114,101, - 99,116,108,121,32,116,114,97,110,115,102,101,114,32,112,101, - 114,109,105,115,115,105,111,110,115,10,32,32,32,32,32,32, - 32,32,41,1,218,8,115,101,116,95,100,97,116,97,41,4, - 114,104,0,0,0,114,94,0,0,0,90,10,99,97,99,104, - 101,95,112,97,116,104,114,56,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,218,15,95,99,97,99, - 104,101,95,98,121,116,101,99,111,100,101,195,2,0,0,115, - 2,0,0,0,0,8,122,28,83,111,117,114,99,101,76,111, - 97,100,101,114,46,95,99,97,99,104,101,95,98,121,116,101, - 99,111,100,101,99,3,0,0,0,0,0,0,0,3,0,0, - 0,1,0,0,0,67,0,0,0,115,4,0,0,0,100,1, - 83,0,41,2,122,150,79,112,116,105,111,110,97,108,32,109, - 101,116,104,111,100,32,119,104,105,99,104,32,119,114,105,116, - 101,115,32,100,97,116,97,32,40,98,121,116,101,115,41,32, - 116,111,32,97,32,102,105,108,101,32,112,97,116,104,32,40, - 97,32,115,116,114,41,46,10,10,32,32,32,32,32,32,32, - 32,73,109,112,108,101,109,101,110,116,105,110,103,32,116,104, - 105,115,32,109,101,116,104,111,100,32,97,108,108,111,119,115, - 32,102,111,114,32,116,104,101,32,119,114,105,116,105,110,103, - 32,111,102,32,98,121,116,101,99,111,100,101,32,102,105,108, - 101,115,46,10,32,32,32,32,32,32,32,32,78,114,4,0, - 0,0,41,3,114,104,0,0,0,114,37,0,0,0,114,56, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,114,195,0,0,0,205,2,0,0,115,0,0,0,0, - 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41,2,218,12,100,111,110,116,95,105,110,104,101,114,105,116, - 114,72,0,0,0,41,3,114,118,0,0,0,114,185,0,0, - 0,218,7,99,111,109,112,105,108,101,41,4,114,104,0,0, - 0,114,56,0,0,0,114,37,0,0,0,114,200,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 14,115,111,117,114,99,101,95,116,111,95,99,111,100,101,222, - 2,0,0,115,4,0,0,0,0,5,12,1,122,27,83,111, - 117,114,99,101,76,111,97,100,101,114,46,115,111,117,114,99, - 101,95,116,111,95,99,111,100,101,99,2,0,0,0,0,0, - 0,0,10,0,0,0,43,0,0,0,67,0,0,0,115,94, - 1,0,0,124,0,106,0,124,1,131,1,125,2,100,1,125, - 3,121,12,116,1,124,2,131,1,125,4,87,0,110,24,4, - 0,116,2,107,10,114,50,1,0,1,0,1,0,100,1,125, - 4,89,0,110,162,88,0,121,14,124,0,106,3,124,2,131, - 1,125,5,87,0,110,20,4,0,116,4,107,10,114,86,1, - 0,1,0,1,0,89,0,110,126,88,0,116,5,124,5,100, - 2,25,0,131,1,125,3,121,14,124,0,106,6,124,4,131, - 1,125,6,87,0,110,20,4,0,116,7,107,10,114,134,1, - 0,1,0,1,0,89,0,110,78,88,0,121,20,116,8,124, - 6,124,5,124,1,124,4,100,3,141,4,125,7,87,0,110, - 24,4,0,116,9,116,10,102,2,107,10,114,180,1,0,1, - 0,1,0,89,0,110,32,88,0,116,11,106,12,100,4,124, - 4,124,2,131,3,1,0,116,13,124,7,124,1,124,4,124, - 2,100,5,141,4,83,0,124,0,106,6,124,2,131,1,125, - 8,124,0,106,14,124,8,124,2,131,2,125,9,116,11,106, - 12,100,6,124,2,131,2,1,0,116,15,106,16,12,0,144, - 1,114,90,124,4,100,1,107,9,144,1,114,90,124,3,100, - 1,107,9,144,1,114,90,116,17,124,9,124,3,116,18,124, - 8,131,1,131,3,125,6,121,30,124,0,106,19,124,2,124, - 4,124,6,131,3,1,0,116,11,106,12,100,7,124,4,131, - 2,1,0,87,0,110,22,4,0,116,2,107,10,144,1,114, - 88,1,0,1,0,1,0,89,0,110,2,88,0,124,9,83, - 0,41,8,122,190,67,111,110,99,114,101,116,101,32,105,109, - 112,108,101,109,101,110,116,97,116,105,111,110,32,111,102,32, - 73,110,115,112,101,99,116,76,111,97,100,101,114,46,103,101, - 116,95,99,111,100,101,46,10,10,32,32,32,32,32,32,32, - 32,82,101,97,100,105,110,103,32,111,102,32,98,121,116,101, - 99,111,100,101,32,114,101,113,117,105,114,101,115,32,112,97, - 116,104,95,115,116,97,116,115,32,116,111,32,98,101,32,105, - 109,112,108,101,109,101,110,116,101,100,46,32,84,111,32,119, - 114,105,116,101,10,32,32,32,32,32,32,32,32,98,121,116, - 101,99,111,100,101,44,32,115,101,116,95,100,97,116,97,32, - 109,117,115,116,32,97,108,115,111,32,98,101,32,105,109,112, - 108,101,109,101,110,116,101,100,46,10,10,32,32,32,32,32, - 32,32,32,78,114,130,0,0,0,41,3,114,136,0,0,0, - 114,102,0,0,0,114,37,0,0,0,122,13,123,125,32,109, - 97,116,99,104,101,115,32,123,125,41,3,114,102,0,0,0, - 114,93,0,0,0,114,94,0,0,0,122,19,99,111,100,101, - 32,111,98,106,101,99,116,32,102,114,111,109,32,123,125,122, - 10,119,114,111,116,101,32,123,33,114,125,41,20,114,155,0, - 0,0,114,83,0,0,0,114,70,0,0,0,114,194,0,0, - 0,114,192,0,0,0,114,16,0,0,0,114,197,0,0,0, - 114,42,0,0,0,114,139,0,0,0,114,103,0,0,0,114, - 134,0,0,0,114,118,0,0,0,114,133,0,0,0,114,145, - 0,0,0,114,203,0,0,0,114,8,0,0,0,218,19,100, - 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119,115,82,101,103,105,115,116,114,121,70,105,110,100,101,114, + 46,102,105,110,100,95,109,111,100,117,108,101,41,2,78,78, + 41,1,78,41,12,114,109,0,0,0,114,108,0,0,0,114, + 110,0,0,0,114,111,0,0,0,114,172,0,0,0,114,171, + 0,0,0,114,170,0,0,0,218,11,99,108,97,115,115,109, + 101,116,104,111,100,114,169,0,0,0,114,175,0,0,0,114, + 178,0,0,0,114,179,0,0,0,114,4,0,0,0,114,4, + 0,0,0,114,4,0,0,0,114,6,0,0,0,114,166,0, + 0,0,79,2,0,0,115,20,0,0,0,8,2,4,3,4, + 3,4,2,4,2,12,7,12,15,2,1,12,15,2,1,114, + 166,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, + 0,2,0,0,0,64,0,0,0,115,48,0,0,0,101,0, 90,1,100,0,90,2,100,1,90,3,100,2,100,3,132,0, 90,4,100,4,100,5,132,0,90,5,100,6,100,7,132,0, - 90,6,101,7,135,0,102,1,100,8,100,9,132,8,131,1, - 90,8,101,7,100,10,100,11,132,0,131,1,90,9,100,12, - 100,13,132,0,90,10,135,0,90,11,100,14,83,0,41,15, - 218,10,70,105,108,101,76,111,97,100,101,114,122,103,66,97, - 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, - 0,0,2,0,0,0,67,0,0,0,115,16,0,0,0,124, - 1,124,0,95,0,124,2,124,0,95,1,100,1,83,0,41, - 2,122,75,67,97,99,104,101,32,116,104,101,32,109,111,100, - 117,108,101,32,110,97,109,101,32,97,110,100,32,116,104,101, - 32,112,97,116,104,32,116,111,32,116,104,101,32,102,105,108, - 101,32,102,111,117,110,100,32,98,121,32,116,104,101,10,32, - 32,32,32,32,32,32,32,102,105,110,100,101,114,46,78,41, - 2,114,102,0,0,0,114,37,0,0,0,41,3,114,104,0, - 0,0,114,123,0,0,0,114,37,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,114,182,0,0,0, - 31,3,0,0,115,4,0,0,0,0,3,6,1,122,19,70, - 105,108,101,76,111,97,100,101,114,46,95,95,105,110,105,116, - 95,95,99,2,0,0,0,0,0,0,0,2,0,0,0,2, - 0,0,0,67,0,0,0,115,24,0,0,0,124,0,106,0, - 124,1,106,0,107,2,111,22,124,0,106,1,124,1,106,1, - 107,2,83,0,41,1,78,41,2,218,9,95,95,99,108,97, - 115,115,95,95,114,115,0,0,0,41,2,114,104,0,0,0, - 218,5,111,116,104,101,114,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,218,6,95,95,101,113,95,95,37,3, - 0,0,115,4,0,0,0,0,1,12,1,122,17,70,105,108, - 101,76,111,97,100,101,114,46,95,95,101,113,95,95,99,1, - 0,0,0,0,0,0,0,1,0,0,0,3,0,0,0,67, - 0,0,0,115,20,0,0,0,116,0,124,0,106,1,131,1, - 116,0,124,0,106,2,131,1,65,0,83,0,41,1,78,41, - 3,218,4,104,97,115,104,114,102,0,0,0,114,37,0,0, - 0,41,1,114,104,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,218,8,95,95,104,97,115,104,95, - 95,41,3,0,0,115,2,0,0,0,0,1,122,19,70,105, - 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, - 0,0,3,0,0,0,115,16,0,0,0,116,0,116,1,124, - 0,131,2,106,2,124,1,131,1,83,0,41,1,122,100,76, - 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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, + 0,115,42,0,0,0,120,36,116,0,106,1,106,2,131,0, + 68,0,93,22,125,1,116,3,124,1,100,1,131,2,114,12, + 124,1,106,4,131,0,1,0,113,12,87,0,100,2,83,0, + 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, + 99,104,101,115,78,41,5,114,8,0,0,0,218,19,112,97, 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, - 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102,111,114,32,39,112,97,116,104,39,46,78,122,23,115,121, - 115,46,112,97,116,104,95,104,111,111,107,115,32,105,115,32, - 101,109,112,116,121,41,6,114,8,0,0,0,218,10,112,97, - 116,104,95,104,111,111,107,115,114,63,0,0,0,114,64,0, - 0,0,114,122,0,0,0,114,103,0,0,0,41,3,114,168, - 0,0,0,114,37,0,0,0,90,4,104,111,111,107,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,218,11,95, - 112,97,116,104,95,104,111,111,107,115,42,4,0,0,115,16, - 0,0,0,0,3,18,1,12,1,12,1,2,1,8,1,14, - 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, - 115,102,0,0,0,124,1,100,1,107,2,114,42,121,12,116, - 0,106,1,131,0,125,1,87,0,110,20,4,0,116,2,107, - 10,114,40,1,0,1,0,1,0,100,2,83,0,88,0,121, - 14,116,3,106,4,124,1,25,0,125,2,87,0,110,40,4, - 0,116,5,107,10,114,96,1,0,1,0,1,0,124,0,106, - 6,124,1,131,1,125,2,124,2,116,3,106,4,124,1,60, - 0,89,0,110,2,88,0,124,2,83,0,41,3,122,210,71, - 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0,114,37,0,0,0,114,252,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,218,20,95,112,97,116, - 104,95,105,109,112,111,114,116,101,114,95,99,97,99,104,101, - 55,4,0,0,115,22,0,0,0,0,8,8,1,2,1,12, - 1,14,3,6,1,2,1,14,1,14,1,10,1,16,1,122, - 31,80,97,116,104,70,105,110,100,101,114,46,95,112,97,116, - 104,95,105,109,112,111,114,116,101,114,95,99,97,99,104,101, - 99,3,0,0,0,0,0,0,0,6,0,0,0,3,0,0, - 0,67,0,0,0,115,82,0,0,0,116,0,124,2,100,1, - 131,2,114,26,124,2,106,1,124,1,131,1,92,2,125,3, - 125,4,110,14,124,2,106,2,124,1,131,1,125,3,103,0, - 125,4,124,3,100,0,107,9,114,60,116,3,106,4,124,1, - 124,3,131,2,83,0,116,3,106,5,124,1,100,0,131,2, - 125,5,124,4,124,5,95,6,124,5,83,0,41,2,78,114, - 121,0,0,0,41,7,114,112,0,0,0,114,121,0,0,0, - 114,179,0,0,0,114,118,0,0,0,114,176,0,0,0,114, - 158,0,0,0,114,154,0,0,0,41,6,114,168,0,0,0, - 114,123,0,0,0,114,252,0,0,0,114,124,0,0,0,114, - 125,0,0,0,114,162,0,0,0,114,4,0,0,0,114,4, - 0,0,0,114,6,0,0,0,218,16,95,108,101,103,97,99, - 121,95,103,101,116,95,115,112,101,99,77,4,0,0,115,18, - 0,0,0,0,4,10,1,16,2,10,1,4,1,8,1,12, - 1,12,1,6,1,122,27,80,97,116,104,70,105,110,100,101, - 114,46,95,108,101,103,97,99,121,95,103,101,116,95,115,112, - 101,99,78,99,4,0,0,0,0,0,0,0,9,0,0,0, - 5,0,0,0,67,0,0,0,115,170,0,0,0,103,0,125, - 4,120,160,124,2,68,0,93,130,125,5,116,0,124,5,116, - 1,116,2,102,2,131,2,115,30,113,10,124,0,106,3,124, - 5,131,1,125,6,124,6,100,1,107,9,114,10,116,4,124, - 6,100,2,131,2,114,72,124,6,106,5,124,1,124,3,131, - 2,125,7,110,12,124,0,106,6,124,1,124,6,131,2,125, - 7,124,7,100,1,107,8,114,94,113,10,124,7,106,7,100, - 1,107,9,114,108,124,7,83,0,124,7,106,8,125,8,124, - 8,100,1,107,8,114,130,116,9,100,3,131,1,130,1,124, - 4,106,10,124,8,131,1,1,0,113,10,87,0,116,11,106, - 12,124,1,100,1,131,2,125,7,124,4,124,7,95,8,124, - 7,83,0,100,1,83,0,41,4,122,63,70,105,110,100,32, - 116,104,101,32,108,111,97,100,101,114,32,111,114,32,110,97, - 109,101,115,112,97,99,101,95,112,97,116,104,32,102,111,114, - 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108,111,97,100,101,114,44,32,108,105,115,116,45,111,102,45, - 112,111,114,116,105,111,110,115,41,46,10,10,32,32,32,32, - 32,32,32,32,84,104,105,115,32,109,101,116,104,111,100,32, - 105,115,32,100,101,112,114,101,99,97,116,101,100,46,32,32, - 85,115,101,32,102,105,110,100,95,115,112,101,99,40,41,32, - 105,110,115,116,101,97,100,46,10,10,32,32,32,32,32,32, - 32,32,78,41,3,114,178,0,0,0,114,124,0,0,0,114, - 154,0,0,0,41,3,114,104,0,0,0,114,123,0,0,0, - 114,162,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,121,0,0,0,191,4,0,0,115,8,0, - 0,0,0,7,10,1,8,1,8,1,122,22,70,105,108,101, - 70,105,110,100,101,114,46,102,105,110,100,95,108,111,97,100, - 101,114,99,6,0,0,0,0,0,0,0,7,0,0,0,6, - 0,0,0,67,0,0,0,115,26,0,0,0,124,1,124,2, - 124,3,131,2,125,6,116,0,124,2,124,3,124,6,124,4, - 100,1,141,4,83,0,41,2,78,41,2,114,124,0,0,0, - 114,154,0,0,0,41,1,114,165,0,0,0,41,7,114,104, - 0,0,0,114,163,0,0,0,114,123,0,0,0,114,37,0, - 0,0,90,4,115,109,115,108,114,177,0,0,0,114,124,0, - 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,114,4,1,0,0,203,4,0,0,115,6,0,0,0,0, - 1,10,1,8,1,122,20,70,105,108,101,70,105,110,100,101, - 114,46,95,103,101,116,95,115,112,101,99,78,99,3,0,0, - 0,0,0,0,0,14,0,0,0,15,0,0,0,67,0,0, - 0,115,98,1,0,0,100,1,125,3,124,1,106,0,100,2, - 131,1,100,3,25,0,125,4,121,24,116,1,124,0,106,2, - 112,34,116,3,106,4,131,0,131,1,106,5,125,5,87,0, - 110,24,4,0,116,6,107,10,114,66,1,0,1,0,1,0, - 100,10,125,5,89,0,110,2,88,0,124,5,124,0,106,7, - 107,3,114,92,124,0,106,8,131,0,1,0,124,5,124,0, - 95,7,116,9,131,0,114,114,124,0,106,10,125,6,124,4, - 106,11,131,0,125,7,110,10,124,0,106,12,125,6,124,4, - 125,7,124,7,124,6,107,6,114,218,116,13,124,0,106,2, - 124,4,131,2,125,8,120,72,124,0,106,14,68,0,93,54, - 92,2,125,9,125,10,100,5,124,9,23,0,125,11,116,13, - 124,8,124,11,131,2,125,12,116,15,124,12,131,1,114,152, - 124,0,106,16,124,10,124,1,124,12,124,8,103,1,124,2, - 131,5,83,0,113,152,87,0,116,17,124,8,131,1,125,3, - 120,88,124,0,106,14,68,0,93,78,92,2,125,9,125,10, - 116,13,124,0,106,2,124,4,124,9,23,0,131,2,125,12, - 116,18,106,19,100,6,124,12,100,3,100,7,141,3,1,0, - 124,7,124,9,23,0,124,6,107,6,114,226,116,15,124,12, - 131,1,114,226,124,0,106,16,124,10,124,1,124,12,100,8, - 124,2,131,5,83,0,113,226,87,0,124,3,144,1,114,94, - 116,18,106,19,100,9,124,8,131,2,1,0,116,18,106,20, - 124,1,100,8,131,2,125,13,124,8,103,1,124,13,95,21, - 124,13,83,0,100,8,83,0,41,11,122,111,84,114,121,32, - 116,111,32,102,105,110,100,32,97,32,115,112,101,99,32,102, - 111,114,32,116,104,101,32,115,112,101,99,105,102,105,101,100, - 32,109,111,100,117,108,101,46,10,10,32,32,32,32,32,32, - 32,32,82,101,116,117,114,110,115,32,116,104,101,32,109,97, - 116,99,104,105,110,103,32,115,112,101,99,44,32,111,114,32, - 78,111,110,101,32,105,102,32,110,111,116,32,102,111,117,110, - 100,46,10,32,32,32,32,32,32,32,32,70,114,61,0,0, - 0,114,59,0,0,0,114,31,0,0,0,114,182,0,0,0, - 122,9,116,114,121,105,110,103,32,123,125,41,1,90,9,118, - 101,114,98,111,115,105,116,121,78,122,25,112,111,115,115,105, - 98,108,101,32,110,97,109,101,115,112,97,99,101,32,102,111, - 114,32,123,125,114,91,0,0,0,41,22,114,34,0,0,0, - 114,41,0,0,0,114,37,0,0,0,114,3,0,0,0,114, - 47,0,0,0,114,216,0,0,0,114,42,0,0,0,114,7, - 1,0,0,218,11,95,102,105,108,108,95,99,97,99,104,101, - 114,7,0,0,0,114,10,1,0,0,114,92,0,0,0,114, - 9,1,0,0,114,30,0,0,0,114,6,1,0,0,114,46, - 0,0,0,114,4,1,0,0,114,48,0,0,0,114,118,0, - 0,0,114,133,0,0,0,114,158,0,0,0,114,154,0,0, - 0,41,14,114,104,0,0,0,114,123,0,0,0,114,177,0, - 0,0,90,12,105,115,95,110,97,109,101,115,112,97,99,101, - 90,11,116,97,105,108,95,109,111,100,117,108,101,114,130,0, - 0,0,90,5,99,97,99,104,101,90,12,99,97,99,104,101, - 95,109,111,100,117,108,101,90,9,98,97,115,101,95,112,97, - 116,104,114,222,0,0,0,114,163,0,0,0,90,13,105,110, - 105,116,95,102,105,108,101,110,97,109,101,90,9,102,117,108, - 108,95,112,97,116,104,114,162,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,178,0,0,0,208, - 4,0,0,115,70,0,0,0,0,5,4,1,14,1,2,1, - 24,1,14,1,10,1,10,1,8,1,6,2,6,1,6,1, - 10,2,6,1,4,2,8,1,12,1,16,1,8,1,10,1, - 8,1,24,4,8,2,16,1,16,1,16,1,12,1,8,1, - 10,1,12,1,6,1,12,1,12,1,8,1,4,1,122,20, - 70,105,108,101,70,105,110,100,101,114,46,102,105,110,100,95, - 115,112,101,99,99,1,0,0,0,0,0,0,0,9,0,0, - 0,13,0,0,0,67,0,0,0,115,194,0,0,0,124,0, - 106,0,125,1,121,22,116,1,106,2,124,1,112,22,116,1, - 106,3,131,0,131,1,125,2,87,0,110,30,4,0,116,4, - 116,5,116,6,102,3,107,10,114,58,1,0,1,0,1,0, - 103,0,125,2,89,0,110,2,88,0,116,7,106,8,106,9, - 100,1,131,1,115,84,116,10,124,2,131,1,124,0,95,11, - 110,78,116,10,131,0,125,3,120,64,124,2,68,0,93,56, - 125,4,124,4,106,12,100,2,131,1,92,3,125,5,125,6, - 125,7,124,6,114,138,100,3,106,13,124,5,124,7,106,14, - 131,0,131,2,125,8,110,4,124,5,125,8,124,3,106,15, - 124,8,131,1,1,0,113,96,87,0,124,3,124,0,95,11, - 116,7,106,8,106,9,116,16,131,1,114,190,100,4,100,5, - 132,0,124,2,68,0,131,1,124,0,95,17,100,6,83,0, - 41,7,122,68,70,105,108,108,32,116,104,101,32,99,97,99, - 104,101,32,111,102,32,112,111,116,101,110,116,105,97,108,32, - 109,111,100,117,108,101,115,32,97,110,100,32,112,97,99,107, - 97,103,101,115,32,102,111,114,32,116,104,105,115,32,100,105, - 114,101,99,116,111,114,121,46,114,0,0,0,0,114,61,0, - 0,0,122,5,123,125,46,123,125,99,1,0,0,0,0,0, - 0,0,2,0,0,0,3,0,0,0,83,0,0,0,115,20, - 0,0,0,104,0,124,0,93,12,125,1,124,1,106,0,131, - 0,146,2,113,4,83,0,114,4,0,0,0,41,1,114,92, - 0,0,0,41,2,114,24,0,0,0,90,2,102,110,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,250,9,60, - 115,101,116,99,111,109,112,62,29,5,0,0,115,2,0,0, - 0,6,0,122,41,70,105,108,101,70,105,110,100,101,114,46, - 95,102,105,108,108,95,99,97,99,104,101,46,60,108,111,99, - 97,108,115,62,46,60,115,101,116,99,111,109,112,62,78,41, - 18,114,37,0,0,0,114,3,0,0,0,90,7,108,105,115, - 116,100,105,114,114,47,0,0,0,114,255,0,0,0,218,15, - 80,101,114,109,105,115,115,105,111,110,69,114,114,111,114,218, - 18,78,111,116,65,68,105,114,101,99,116,111,114,121,69,114, - 114,111,114,114,8,0,0,0,114,9,0,0,0,114,10,0, - 0,0,114,8,1,0,0,114,9,1,0,0,114,87,0,0, - 0,114,50,0,0,0,114,92,0,0,0,218,3,97,100,100, - 114,11,0,0,0,114,10,1,0,0,41,9,114,104,0,0, - 0,114,37,0,0,0,90,8,99,111,110,116,101,110,116,115, - 90,21,108,111,119,101,114,95,115,117,102,102,105,120,95,99, - 111,110,116,101,110,116,115,114,244,0,0,0,114,102,0,0, - 0,114,234,0,0,0,114,222,0,0,0,90,8,110,101,119, - 95,110,97,109,101,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,12,1,0,0,0,5,0,0,115,34,0, - 0,0,0,2,6,1,2,1,22,1,20,3,10,3,12,1, - 12,7,6,1,10,1,16,1,4,1,18,2,4,1,14,1, - 6,1,12,1,122,22,70,105,108,101,70,105,110,100,101,114, - 46,95,102,105,108,108,95,99,97,99,104,101,99,1,0,0, - 0,0,0,0,0,3,0,0,0,3,0,0,0,7,0,0, - 0,115,18,0,0,0,135,0,135,1,102,2,100,1,100,2, - 132,8,125,2,124,2,83,0,41,3,97,20,1,0,0,65, - 32,99,108,97,115,115,32,109,101,116,104,111,100,32,119,104, - 105,99,104,32,114,101,116,117,114,110,115,32,97,32,99,108, - 111,115,117,114,101,32,116,111,32,117,115,101,32,111,110,32, - 115,121,115,46,112,97,116,104,95,104,111,111,107,10,32,32, - 32,32,32,32,32,32,119,104,105,99,104,32,119,105,108,108, - 32,114,101,116,117,114,110,32,97,110,32,105,110,115,116,97, - 110,99,101,32,117,115,105,110,103,32,116,104,101,32,115,112, - 101,99,105,102,105,101,100,32,108,111,97,100,101,114,115,32, - 97,110,100,32,116,104,101,32,112,97,116,104,10,32,32,32, - 32,32,32,32,32,99,97,108,108,101,100,32,111,110,32,116, - 104,101,32,99,108,111,115,117,114,101,46,10,10,32,32,32, - 32,32,32,32,32,73,102,32,116,104,101,32,112,97,116,104, - 32,99,97,108,108,101,100,32,111,110,32,116,104,101,32,99, - 108,111,115,117,114,101,32,105,115,32,110,111,116,32,97,32, - 100,105,114,101,99,116,111,114,121,44,32,73,109,112,111,114, - 116,69,114,114,111,114,32,105,115,10,32,32,32,32,32,32, - 32,32,114,97,105,115,101,100,46,10,10,32,32,32,32,32, - 32,32,32,99,1,0,0,0,0,0,0,0,1,0,0,0, - 4,0,0,0,19,0,0,0,115,34,0,0,0,116,0,124, - 0,131,1,115,20,116,1,100,1,124,0,100,2,141,2,130, - 1,136,0,124,0,102,1,136,1,158,2,142,0,83,0,41, - 3,122,45,80,97,116,104,32,104,111,111,107,32,102,111,114, - 32,105,109,112,111,114,116,108,105,98,46,109,97,99,104,105, - 110,101,114,121,46,70,105,108,101,70,105,110,100,101,114,46, - 122,30,111,110,108,121,32,100,105,114,101,99,116,111,114,105, - 101,115,32,97,114,101,32,115,117,112,112,111,114,116,101,100, - 41,1,114,37,0,0,0,41,2,114,48,0,0,0,114,103, - 0,0,0,41,1,114,37,0,0,0,41,2,114,168,0,0, - 0,114,11,1,0,0,114,4,0,0,0,114,6,0,0,0, - 218,24,112,97,116,104,95,104,111,111,107,95,102,111,114,95, - 70,105,108,101,70,105,110,100,101,114,41,5,0,0,115,6, - 0,0,0,0,2,8,1,12,1,122,54,70,105,108,101,70, - 105,110,100,101,114,46,112,97,116,104,95,104,111,111,107,46, - 60,108,111,99,97,108,115,62,46,112,97,116,104,95,104,111, - 111,107,95,102,111,114,95,70,105,108,101,70,105,110,100,101, - 114,114,4,0,0,0,41,3,114,168,0,0,0,114,11,1, - 0,0,114,17,1,0,0,114,4,0,0,0,41,2,114,168, - 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111,100,117,108,101,90,13,119,105,110,114,101,103,95,109,111, + 100,117,108,101,114,4,0,0,0,114,4,0,0,0,114,6, + 0,0,0,218,6,95,115,101,116,117,112,89,5,0,0,115, + 82,0,0,0,0,8,4,1,6,1,6,3,10,1,10,1, + 10,1,12,2,10,1,16,3,22,1,14,2,22,1,8,1, + 10,1,10,1,4,2,2,1,10,1,6,1,14,1,12,2, + 8,1,12,1,12,1,18,3,2,1,14,1,16,2,10,1, + 12,3,10,1,12,3,10,1,10,1,12,3,14,1,14,1, + 10,1,10,1,10,1,114,32,1,0,0,99,1,0,0,0, + 0,0,0,0,2,0,0,0,3,0,0,0,67,0,0,0, + 115,72,0,0,0,116,0,124,0,131,1,1,0,116,1,131, + 0,125,1,116,2,106,3,106,4,116,5,106,6,124,1,142, + 0,103,1,131,1,1,0,116,7,106,8,100,1,107,2,114, + 56,116,2,106,9,106,10,116,11,131,1,1,0,116,2,106, + 9,106,10,116,12,131,1,1,0,100,2,83,0,41,3,122, + 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, + 111,109,112,111,110,101,110,116,115,46,114,27,1,0,0,78, + 41,13,114,32,1,0,0,114,159,0,0,0,114,8,0,0, + 0,114,253,0,0,0,114,147,0,0,0,114,5,1,0,0, + 114,18,1,0,0,114,3,0,0,0,114,109,0,0,0,218, + 9,109,101,116,97,95,112,97,116,104,114,161,0,0,0,114, + 166,0,0,0,114,248,0,0,0,41,2,114,31,1,0,0, + 90,17,115,117,112,112,111,114,116,101,100,95,108,111,97,100, + 101,114,115,114,4,0,0,0,114,4,0,0,0,114,6,0, + 0,0,218,8,95,105,110,115,116,97,108,108,157,5,0,0, + 115,12,0,0,0,0,2,8,1,6,1,20,1,10,1,12, + 1,114,34,1,0,0,41,1,114,0,0,0,0,41,2,114, + 1,0,0,0,114,2,0,0,0,41,1,114,49,0,0,0, + 41,1,78,41,3,78,78,78,41,3,78,78,78,41,2,114, + 62,0,0,0,114,62,0,0,0,41,1,78,41,1,78,41, + 58,114,111,0,0,0,114,12,0,0,0,90,37,95,67,65, + 83,69,95,73,78,83,69,78,83,73,84,73,86,69,95,80, + 76,65,84,70,79,82,77,83,95,66,89,84,69,83,95,75, + 69,89,114,11,0,0,0,114,13,0,0,0,114,19,0,0, + 0,114,21,0,0,0,114,30,0,0,0,114,40,0,0,0, + 114,41,0,0,0,114,45,0,0,0,114,46,0,0,0,114, + 48,0,0,0,114,58,0,0,0,218,4,116,121,112,101,218, + 8,95,95,99,111,100,101,95,95,114,142,0,0,0,114,17, + 0,0,0,114,132,0,0,0,114,16,0,0,0,114,20,0, + 0,0,90,17,95,82,65,87,95,77,65,71,73,67,95,78, + 85,77,66,69,82,114,77,0,0,0,114,76,0,0,0,114, + 88,0,0,0,114,78,0,0,0,90,23,68,69,66,85,71, + 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, + 83,0,0,0,114,89,0,0,0,114,95,0,0,0,114,99, + 0,0,0,114,101,0,0,0,114,120,0,0,0,114,127,0, + 0,0,114,139,0,0,0,114,145,0,0,0,114,148,0,0, + 0,114,153,0,0,0,218,6,111,98,106,101,99,116,114,160, + 0,0,0,114,165,0,0,0,114,166,0,0,0,114,181,0, + 0,0,114,191,0,0,0,114,207,0,0,0,114,215,0,0, + 0,114,220,0,0,0,114,226,0,0,0,114,221,0,0,0, + 114,227,0,0,0,114,246,0,0,0,114,248,0,0,0,114, + 5,1,0,0,114,23,1,0,0,114,159,0,0,0,114,32, + 1,0,0,114,34,1,0,0,114,4,0,0,0,114,4,0, + 0,0,114,4,0,0,0,114,6,0,0,0,218,8,60,109, + 111,100,117,108,101,62,8,0,0,0,115,108,0,0,0,4, + 16,4,1,4,1,2,1,6,3,8,17,8,5,8,5,8, + 6,8,12,8,10,8,9,8,5,8,7,10,22,10,122,16, + 1,12,2,4,1,4,2,6,2,6,2,8,2,16,45,8, + 34,8,19,8,12,8,12,8,28,8,17,10,55,10,12,10, + 10,8,14,6,3,4,1,14,67,14,64,14,29,16,110,14, + 41,18,45,18,16,4,3,18,53,14,60,14,42,14,127,0, + 5,14,127,0,22,10,23,8,11,8,68, }; diff --git a/Python/peephole.c b/Python/peephole.c index 84eb2dbefd..dd8f3e4807 100644 --- a/Python/peephole.c +++ b/Python/peephole.c @@ -704,11 +704,11 @@ PyCode_Optimize(PyObject *code, PyObject* consts, PyObject *names, /* Remove unreachable ops after RETURN */ case RETURN_VALUE: h = i + 1; - while (h + 1 < codelen && ISBASICBLOCK(blocks, i, h + 1)) { + while (h < codelen && ISBASICBLOCK(blocks, i, h)) { h++; } if (h > i + 1) { - fill_nops(codestr, i + 1, h + 1); + fill_nops(codestr, i + 1, h); nexti = find_op(codestr, h); } break; -- cgit v1.2.1 From ef9f0416d8818ee0728b56b29ff148623101784a Mon Sep 17 00:00:00 2001 From: "Eric V. Smith" Date: Mon, 31 Oct 2016 14:46:26 -0400 Subject: Issue 28128: Print out better error/warning messages for invalid string escapes. Backport to 3.6. --- Python/ast.c | 66 +++++++++++++++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 61 insertions(+), 5 deletions(-) (limited to 'Python') diff --git a/Python/ast.c b/Python/ast.c index 76daf6f446..91e7d0129f 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -4113,8 +4113,34 @@ decode_utf8(struct compiling *c, const char **sPtr, const char *end) return PyUnicode_DecodeUTF8(t, s - t, NULL); } +static int +warn_invalid_escape_sequence(struct compiling *c, const node *n, + char first_invalid_escape_char) +{ + PyObject *msg = PyUnicode_FromFormat("invalid escape sequence \\%c", + first_invalid_escape_char); + if (msg == NULL) { + return -1; + } + if (PyErr_WarnExplicitObject(PyExc_DeprecationWarning, msg, + c->c_filename, LINENO(n), + NULL, NULL) < 0 && + PyErr_ExceptionMatches(PyExc_DeprecationWarning)) + { + const char *s = PyUnicode_AsUTF8(msg); + if (s != NULL) { + ast_error(c, n, s); + } + Py_DECREF(msg); + return -1; + } + Py_DECREF(msg); + return 0; +} + static PyObject * -decode_unicode_with_escapes(struct compiling *c, const char *s, size_t len) +decode_unicode_with_escapes(struct compiling *c, const node *n, const char *s, + size_t len) { PyObject *v, *u; char *buf; @@ -4167,11 +4193,41 @@ decode_unicode_with_escapes(struct compiling *c, const char *s, size_t len) len = p - buf; s = buf; - v = PyUnicode_DecodeUnicodeEscape(s, len, NULL); + const char *first_invalid_escape; + v = _PyUnicode_DecodeUnicodeEscape(s, len, NULL, &first_invalid_escape); + + if (v != NULL && first_invalid_escape != NULL) { + if (warn_invalid_escape_sequence(c, n, *first_invalid_escape) < 0) { + /* We have not decref u before because first_invalid_escape points + inside u. */ + Py_XDECREF(u); + Py_DECREF(v); + return NULL; + } + } Py_XDECREF(u); return v; } +static PyObject * +decode_bytes_with_escapes(struct compiling *c, const node *n, const char *s, + size_t len) +{ + const char *first_invalid_escape; + PyObject *result = _PyBytes_DecodeEscape(s, len, NULL, 0, NULL, + &first_invalid_escape); + if (result == NULL) + return NULL; + + if (first_invalid_escape != NULL) { + if (warn_invalid_escape_sequence(c, n, *first_invalid_escape) < 0) { + Py_DECREF(result); + return NULL; + } + } + return result; +} + /* Compile this expression in to an expr_ty. Add parens around the expression, in order to allow leading spaces in the expression. */ static expr_ty @@ -4310,7 +4366,7 @@ done: literal_end-literal_start, NULL, NULL); else - *literal = decode_unicode_with_escapes(c, literal_start, + *literal = decode_unicode_with_escapes(c, n, literal_start, literal_end-literal_start); if (!*literal) return -1; @@ -5048,12 +5104,12 @@ parsestr(struct compiling *c, const node *n, int *bytesmode, int *rawmode, if (*rawmode) *result = PyBytes_FromStringAndSize(s, len); else - *result = PyBytes_DecodeEscape(s, len, NULL, /* ignored */ 0, NULL); + *result = decode_bytes_with_escapes(c, n, s, len); } else { if (*rawmode) *result = PyUnicode_DecodeUTF8Stateful(s, len, NULL, NULL); else - *result = decode_unicode_with_escapes(c, s, len); + *result = decode_unicode_with_escapes(c, n, s, len); } return *result == NULL ? -1 : 0; } -- cgit v1.2.1 From abe4b1fd6b97191893e76c74fc2e2c9b69ce9418 Mon Sep 17 00:00:00 2001 From: "Eric V. Smith" Date: Mon, 7 Nov 2016 17:54:01 -0500 Subject: Fixed issue #28633: segfault when concatenating bytes literal and f-string. --- Python/ast.c | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) (limited to 'Python') diff --git a/Python/ast.c b/Python/ast.c index 91e7d0129f..fcd1563a69 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -5147,7 +5147,8 @@ parsestrplus(struct compiling *c, const node *n) /* Check that we're not mixing bytes with unicode. */ if (i != 0 && bytesmode != this_bytesmode) { ast_error(c, n, "cannot mix bytes and nonbytes literals"); - Py_DECREF(s); + /* s is NULL if the current string part is an f-string. */ + Py_XDECREF(s); goto error; } bytesmode = this_bytesmode; @@ -5161,11 +5162,12 @@ parsestrplus(struct compiling *c, const node *n) if (result < 0) goto error; } else { + /* A string or byte string. */ + assert(s != NULL && fstr == NULL); + assert(bytesmode ? PyBytes_CheckExact(s) : PyUnicode_CheckExact(s)); - /* A string or byte string. */ - assert(s != NULL && fstr == NULL); if (bytesmode) { /* For bytes, concat as we go. */ if (i == 0) { @@ -5177,7 +5179,6 @@ parsestrplus(struct compiling *c, const node *n) goto error; } } else { - assert(s != NULL && fstr == NULL); /* This is a regular string. Concatenate it. */ if (FstringParser_ConcatAndDel(&state, s) < 0) goto error; -- cgit v1.2.1 From 1407e3dac2e80b37f8c292cb06d92f39b912d615 Mon Sep 17 00:00:00 2001 From: Yury Selivanov Date: Tue, 8 Nov 2016 15:13:07 -0500 Subject: Issue #27243: Change PendingDeprecationWarning -> DeprecationWarning. As it was agreed in the issue, __aiter__ returning an awaitable should result in PendingDeprecationWarning in 3.5 and in DeprecationWarning in 3.6. --- Python/ceval.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 82cc9a2835..0add7ecc09 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -1911,7 +1911,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) Py_DECREF(iter); if (PyErr_WarnFormat( - PyExc_PendingDeprecationWarning, 1, + PyExc_DeprecationWarning, 1, "'%.100s' implements legacy __aiter__ protocol; " "__aiter__ should return an asynchronous " "iterator, not awaitable", -- cgit v1.2.1 From 188886c591347d747b56691ac91bc712e2e0bb13 Mon Sep 17 00:00:00 2001 From: Yury Selivanov Date: Tue, 8 Nov 2016 16:54:18 -0500 Subject: Issue #26182: Fix ia refleak in code that raises DeprecationWarning. --- Python/ast.c | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) (limited to 'Python') diff --git a/Python/ast.c b/Python/ast.c index fcd1563a69..bfae6ed7d4 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -944,17 +944,19 @@ forbidden_name(struct compiling *c, identifier name, const node *n, PyObject *message = PyUnicode_FromString( "'async' and 'await' will become reserved keywords" " in Python 3.7"); + int ret; if (message == NULL) { return 1; } - if (PyErr_WarnExplicitObject( + ret = PyErr_WarnExplicitObject( PyExc_DeprecationWarning, message, c->c_filename, LINENO(n), NULL, - NULL) < 0) - { + NULL); + Py_DECREF(message); + if (ret < 0) { return 1; } } -- cgit v1.2.1 From cd04b2ede7e37916bf65f25d1e549e5de80dff94 Mon Sep 17 00:00:00 2001 From: Raymond Hettinger Date: Fri, 11 Nov 2016 04:31:18 -0800 Subject: Issue #28665: Harmonize STORE_DEREF with STORE_FAST and LOAD_DEREF giving a 40% speedup. --- Python/ceval.c | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index b2c90cc3b4..6bdc9983e3 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -2462,8 +2462,9 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) TARGET(STORE_DEREF) { PyObject *v = POP(); PyObject *cell = freevars[oparg]; - PyCell_Set(cell, v); - Py_DECREF(v); + PyObject *oldobj = PyCell_GET(cell); + PyCell_SET(cell, v); + Py_XDECREF(oldobj); DISPATCH(); } -- cgit v1.2.1 From da22e7f2daa3cdcae574441f05526e8231a8ad3b Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Tue, 15 Nov 2016 09:12:10 +0100 Subject: Fix warn_invalid_escape_sequence() Issue #28691: Fix warn_invalid_escape_sequence(): handle correctly DeprecationWarning raised as an exception. First clear the current exception to replace the DeprecationWarning exception with a SyntaxError exception. Unit test written by Serhiy Storchaka. --- Python/ast.c | 8 +++++++- 1 file changed, 7 insertions(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/ast.c b/Python/ast.c index bfae6ed7d4..14bcdb1b0a 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -4129,7 +4129,13 @@ warn_invalid_escape_sequence(struct compiling *c, const node *n, NULL, NULL) < 0 && PyErr_ExceptionMatches(PyExc_DeprecationWarning)) { - const char *s = PyUnicode_AsUTF8(msg); + const char *s; + + /* Replace the DeprecationWarning exception with a SyntaxError + to get a more accurate error report */ + PyErr_Clear(); + + s = PyUnicode_AsUTF8(msg); if (s != NULL) { ast_error(c, n, s); } -- cgit v1.2.1 From 0af37fbc56ae6aaccab23c642142744f4e83871f Mon Sep 17 00:00:00 2001 From: Xavier de Gaye Date: Wed, 16 Nov 2016 07:24:20 +0100 Subject: Issue #26920: Fix not getting the locale's charset upon initializing the interpreter, on platforms that do not have langinfo --- Python/pylifecycle.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index 5b5cc2b55e..71f23dd150 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -315,7 +315,7 @@ _Py_InitializeEx_Private(int install_sigs, int install_importlib) initialized = 1; _Py_Finalizing = NULL; -#if defined(HAVE_LANGINFO_H) && defined(HAVE_SETLOCALE) +#ifdef HAVE_SETLOCALE /* Set up the LC_CTYPE locale, so we can obtain the locale's charset without having to switch locales. */ -- cgit v1.2.1 From faf10a89470013359a6db36079f3b7264baf9cc5 Mon Sep 17 00:00:00 2001 From: Xavier de Gaye Date: Sat, 19 Nov 2016 16:19:29 +0100 Subject: Issue #28746: Fix the set_inheritable() file descriptor method on platforms that do not have the ioctl FIOCLEX and FIONCLEX commands --- Python/fileutils.c | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/fileutils.c b/Python/fileutils.c index e3bfb0c502..6a32c42c80 100644 --- a/Python/fileutils.c +++ b/Python/fileutils.c @@ -886,7 +886,7 @@ set_inheritable(int fd, int inheritable, int raise, int *atomic_flag_works) return 0; } - res = fcntl(fd, F_SETFD, flags); + res = fcntl(fd, F_SETFD, new_flags); if (res < 0) { if (raise) PyErr_SetFromErrno(PyExc_OSError); -- cgit v1.2.1 From 57c0f2e61c8a5893c37e576a3a03ba5e57c1132c Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Sun, 20 Nov 2016 09:13:07 +0200 Subject: Replaced outdated macros _PyUnicode_AsString and _PyUnicode_AsStringAndSize with PyUnicode_AsUTF8 and PyUnicode_AsUTF8AndSize. --- Python/bltinmodule.c | 8 ++++---- Python/ceval.c | 4 ++-- Python/future.c | 2 +- Python/pylifecycle.c | 4 ++-- Python/pythonrun.c | 8 ++++---- Python/structmember.c | 2 +- Python/sysmodule.c | 4 ++-- 7 files changed, 16 insertions(+), 16 deletions(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index cee013f57b..a49cb9d103 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -1903,8 +1903,8 @@ builtin_input_impl(PyObject *module, PyObject *prompt) /* stdin is a text stream, so it must have an encoding. */ goto _readline_errors; - stdin_encoding_str = _PyUnicode_AsString(stdin_encoding); - stdin_errors_str = _PyUnicode_AsString(stdin_errors); + stdin_encoding_str = PyUnicode_AsUTF8(stdin_encoding); + stdin_errors_str = PyUnicode_AsUTF8(stdin_errors); if (!stdin_encoding_str || !stdin_errors_str) goto _readline_errors; tmp = _PyObject_CallMethodId(fout, &PyId_flush, NULL); @@ -1920,8 +1920,8 @@ builtin_input_impl(PyObject *module, PyObject *prompt) stdout_errors = _PyObject_GetAttrId(fout, &PyId_errors); if (!stdout_encoding || !stdout_errors) goto _readline_errors; - stdout_encoding_str = _PyUnicode_AsString(stdout_encoding); - stdout_errors_str = _PyUnicode_AsString(stdout_errors); + stdout_encoding_str = PyUnicode_AsUTF8(stdout_encoding); + stdout_errors_str = PyUnicode_AsUTF8(stdout_errors); if (!stdout_encoding_str || !stdout_errors_str) goto _readline_errors; stringpo = PyObject_Str(prompt); diff --git a/Python/ceval.c b/Python/ceval.c index 6bdc9983e3..a9d7c2f6d3 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -4712,7 +4712,7 @@ PyEval_GetFuncName(PyObject *func) if (PyMethod_Check(func)) return PyEval_GetFuncName(PyMethod_GET_FUNCTION(func)); else if (PyFunction_Check(func)) - return _PyUnicode_AsString(((PyFunctionObject*)func)->func_name); + return PyUnicode_AsUTF8(((PyFunctionObject*)func)->func_name); else if (PyCFunction_Check(func)) return ((PyCFunctionObject*)func)->m_ml->ml_name; else @@ -5286,7 +5286,7 @@ format_exc_check_arg(PyObject *exc, const char *format_str, PyObject *obj) if (!obj) return; - obj_str = _PyUnicode_AsString(obj); + obj_str = PyUnicode_AsUTF8(obj); if (!obj_str) return; diff --git a/Python/future.c b/Python/future.c index d94b23d4d2..9c1f43032a 100644 --- a/Python/future.c +++ b/Python/future.c @@ -21,7 +21,7 @@ future_check_features(PyFutureFeatures *ff, stmt_ty s, PyObject *filename) names = s->v.ImportFrom.names; for (i = 0; i < asdl_seq_LEN(names); i++) { alias_ty name = (alias_ty)asdl_seq_GET(names, i); - const char *feature = _PyUnicode_AsString(name->name); + const char *feature = PyUnicode_AsUTF8(name->name); if (!feature) return 0; if (strcmp(feature, FUTURE_NESTED_SCOPES) == 0) { diff --git a/Python/pylifecycle.c b/Python/pylifecycle.c index 71f23dd150..a4f7f823bc 100644 --- a/Python/pylifecycle.c +++ b/Python/pylifecycle.c @@ -205,7 +205,7 @@ get_codec_name(const char *encoding) if (!name) goto error; - name_utf8 = _PyUnicode_AsString(name); + name_utf8 = PyUnicode_AsUTF8(name); if (name_utf8 == NULL) goto error; name_str = _PyMem_RawStrdup(name_utf8); @@ -1285,7 +1285,7 @@ initstdio(void) encoding_attr = PyObject_GetAttrString(std, "encoding"); if (encoding_attr != NULL) { const char * std_encoding; - std_encoding = _PyUnicode_AsString(encoding_attr); + std_encoding = PyUnicode_AsUTF8(encoding_attr); if (std_encoding != NULL) { PyObject *codec_info = _PyCodec_Lookup(std_encoding); Py_XDECREF(codec_info); diff --git a/Python/pythonrun.c b/Python/pythonrun.c index 5b1b78672b..c881f901ab 100644 --- a/Python/pythonrun.c +++ b/Python/pythonrun.c @@ -171,7 +171,7 @@ PyRun_InteractiveOneObject(FILE *fp, PyObject *filename, PyCompilerFlags *flags) if (v && v != Py_None) { oenc = _PyObject_GetAttrId(v, &PyId_encoding); if (oenc) - enc = _PyUnicode_AsString(oenc); + enc = PyUnicode_AsUTF8(oenc); if (!enc) PyErr_Clear(); } @@ -182,7 +182,7 @@ PyRun_InteractiveOneObject(FILE *fp, PyObject *filename, PyCompilerFlags *flags) if (v == NULL) PyErr_Clear(); else if (PyUnicode_Check(v)) { - ps1 = _PyUnicode_AsString(v); + ps1 = PyUnicode_AsUTF8(v); if (ps1 == NULL) { PyErr_Clear(); ps1 = ""; @@ -195,7 +195,7 @@ PyRun_InteractiveOneObject(FILE *fp, PyObject *filename, PyCompilerFlags *flags) if (w == NULL) PyErr_Clear(); else if (PyUnicode_Check(w)) { - ps2 = _PyUnicode_AsString(w); + ps2 = PyUnicode_AsUTF8(w); if (ps2 == NULL) { PyErr_Clear(); ps2 = ""; @@ -514,7 +514,7 @@ print_error_text(PyObject *f, int offset, PyObject *text_obj) char *text; char *nl; - text = _PyUnicode_AsString(text_obj); + text = PyUnicode_AsUTF8(text_obj); if (text == NULL) return; diff --git a/Python/structmember.c b/Python/structmember.c index 86d4c66ca7..be2737d405 100644 --- a/Python/structmember.c +++ b/Python/structmember.c @@ -252,7 +252,7 @@ PyMember_SetOne(char *addr, PyMemberDef *l, PyObject *v) char *string; Py_ssize_t len; - string = _PyUnicode_AsStringAndSize(v, &len); + string = PyUnicode_AsUTF8AndSize(v, &len); if (string == NULL || len != 1) { PyErr_BadArgument(); return -1; diff --git a/Python/sysmodule.c b/Python/sysmodule.c index e348b3873e..52034ff7fb 100644 --- a/Python/sysmodule.c +++ b/Python/sysmodule.c @@ -114,7 +114,7 @@ sys_displayhook_unencodable(PyObject *outf, PyObject *o) stdout_encoding = _PyObject_GetAttrId(outf, &PyId_encoding); if (stdout_encoding == NULL) goto error; - stdout_encoding_str = _PyUnicode_AsString(stdout_encoding); + stdout_encoding_str = PyUnicode_AsUTF8(stdout_encoding); if (stdout_encoding_str == NULL) goto error; @@ -2411,7 +2411,7 @@ sys_format(_Py_Identifier *key, FILE *fp, const char *format, va_list va) if (message != NULL) { if (sys_pyfile_write_unicode(message, file) != 0) { PyErr_Clear(); - utf8 = _PyUnicode_AsString(message); + utf8 = PyUnicode_AsUTF8(message); if (utf8 != NULL) fputs(utf8, fp); } -- cgit v1.2.1 From a016e87125f3ab6157fea573e77a44a24c3565c8 Mon Sep 17 00:00:00 2001 From: Raymond Hettinger Date: Mon, 21 Nov 2016 17:24:23 -0800 Subject: Issue #27100: With statement reports missing __enter__ before __exit__. (Contributed by Jonathan Ellington.) --- Python/ceval.c | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index a9d7c2f6d3..ebf073a87f 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -3133,15 +3133,15 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) _Py_IDENTIFIER(__exit__); _Py_IDENTIFIER(__enter__); PyObject *mgr = TOP(); - PyObject *exit = special_lookup(mgr, &PyId___exit__), *enter; + PyObject *enter = special_lookup(mgr, &PyId___enter__), *exit; PyObject *res; + if (enter == NULL) + goto error; + exit = special_lookup(mgr, &PyId___exit__); if (exit == NULL) goto error; SET_TOP(exit); - enter = special_lookup(mgr, &PyId___enter__); Py_DECREF(mgr); - if (enter == NULL) - goto error; res = PyObject_CallFunctionObjArgs(enter, NULL); Py_DECREF(enter); if (res == NULL) -- cgit v1.2.1 From ea51eb9cef802e33478f61e5f7eb682f57fafce2 Mon Sep 17 00:00:00 2001 From: Raymond Hettinger Date: Tue, 22 Nov 2016 11:50:40 -0800 Subject: Issue #27100: Fix ref leak --- Python/ceval.c | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index ebf073a87f..83296f637f 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -3138,8 +3138,10 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) if (enter == NULL) goto error; exit = special_lookup(mgr, &PyId___exit__); - if (exit == NULL) + if (exit == NULL) { + Py_DECREF(enter); goto error; + } SET_TOP(exit); Py_DECREF(mgr); res = PyObject_CallFunctionObjArgs(enter, NULL); -- cgit v1.2.1 From d27f18c0fd746ef7078a84dfe0fcbfa18d43d0c8 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Thu, 24 Nov 2016 22:33:01 +0100 Subject: Fix _PyGen_yf() Issue #28782: Fix a bug in the implementation ``yield from`` when checking if the next instruction is YIELD_FROM. Regression introduced by WORDCODE (issue #26647). Reviewed by Serhiy Storchaka and Yury Selivanov. --- Python/ceval.c | 1 + 1 file changed, 1 insertion(+) (limited to 'Python') diff --git a/Python/ceval.c b/Python/ceval.c index 83296f637f..d5172b9631 100644 --- a/Python/ceval.c +++ b/Python/ceval.c @@ -2043,6 +2043,7 @@ _PyEval_EvalFrameDefault(PyFrameObject *f, int throwflag) f->f_stacktop = stack_pointer; why = WHY_YIELD; /* and repeat... */ + assert(f->f_lasti >= (int)sizeof(_Py_CODEUNIT)); f->f_lasti -= sizeof(_Py_CODEUNIT); goto fast_yield; } -- cgit v1.2.1 From f1b02866add58317c7f9c6c813c282659981a147 Mon Sep 17 00:00:00 2001 From: Nick Coghlan Date: Mon, 5 Dec 2016 16:47:55 +1000 Subject: Issue #23722: improve __classcell__ compatibility Handling zero-argument super() in __init_subclass__ and __set_name__ involved moving __class__ initialisation to type.__new__. This requires cooperation from custom metaclasses to ensure that the new __classcell__ entry is passed along appropriately. The initial implementation of that change resulted in abruptly broken zero-argument super() support in metaclasses that didn't adhere to the new requirements (such as Django's metaclass for Model definitions). The updated approach adopted here instead emits a deprecation warning for those cases, and makes them work the same way they did in Python 3.5. This patch also improves the related class machinery documentation to cover these details and to include more reader-friendly cross-references and index entries. --- Python/bltinmodule.c | 40 +- Python/compile.c | 8 +- Python/importlib_external.h | 2354 +++++++++++++++++++++---------------------- 3 files changed, 1218 insertions(+), 1184 deletions(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index a49cb9d103..69e5f08b0e 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -54,8 +54,8 @@ _Py_IDENTIFIER(stderr); static PyObject * builtin___build_class__(PyObject *self, PyObject *args, PyObject *kwds) { - PyObject *func, *name, *bases, *mkw, *meta, *winner, *prep, *ns, *none; - PyObject *cls = NULL; + PyObject *func, *name, *bases, *mkw, *meta, *winner, *prep, *ns; + PyObject *cls = NULL, *cell = NULL; Py_ssize_t nargs; int isclass = 0; /* initialize to prevent gcc warning */ @@ -167,14 +167,44 @@ builtin___build_class__(PyObject *self, PyObject *args, PyObject *kwds) Py_DECREF(bases); return NULL; } - none = PyEval_EvalCodeEx(PyFunction_GET_CODE(func), PyFunction_GET_GLOBALS(func), ns, + cell = PyEval_EvalCodeEx(PyFunction_GET_CODE(func), PyFunction_GET_GLOBALS(func), ns, NULL, 0, NULL, 0, NULL, 0, NULL, PyFunction_GET_CLOSURE(func)); - if (none != NULL) { + if (cell != NULL) { PyObject *margs[3] = {name, bases, ns}; cls = _PyObject_FastCallDict(meta, margs, 3, mkw); - Py_DECREF(none); + if (cls != NULL && PyType_Check(cls) && PyCell_Check(cell)) { + PyObject *cell_cls = PyCell_GET(cell); + if (cell_cls != cls) { + /* TODO: In 3.7, DeprecationWarning will become RuntimeError. + * At that point, cell_error won't be needed. + */ + int cell_error; + if (cell_cls == NULL) { + const char *msg = + "__class__ not set defining %.200R as %.200R. " + "Was __classcell__ propagated to type.__new__?"; + cell_error = PyErr_WarnFormat( + PyExc_DeprecationWarning, 1, msg, name, cls); + } else { + const char *msg = + "__class__ set to %.200R defining %.200R as %.200R"; + PyErr_Format(PyExc_TypeError, msg, cell_cls, name, cls); + cell_error = 1; + } + if (cell_error) { + Py_DECREF(cls); + cls = NULL; + goto error; + } else { + /* Fill in the cell, since type.__new__ didn't do it */ + PyCell_Set(cell, cls); + } + } + } } +error: + Py_XDECREF(cell); Py_DECREF(ns); Py_DECREF(meta); Py_XDECREF(mkw); diff --git a/Python/compile.c b/Python/compile.c index a8d7fcd717..35151cdd59 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -1967,8 +1967,9 @@ compiler_class(struct compiler *c, stmt_ty s) compiler_exit_scope(c); return 0; } + /* Return __classcell__ if it is referenced, otherwise return None */ if (c->u->u_ste->ste_needs_class_closure) { - /* store __classcell__ into class namespace */ + /* Store __classcell__ into class namespace & return it */ str = PyUnicode_InternFromString("__class__"); if (str == NULL) { compiler_exit_scope(c); @@ -1983,6 +1984,7 @@ compiler_class(struct compiler *c, stmt_ty s) assert(i == 0); ADDOP_I(c, LOAD_CLOSURE, i); + ADDOP(c, DUP_TOP); str = PyUnicode_InternFromString("__classcell__"); if (!str || !compiler_nameop(c, str, Store)) { Py_XDECREF(str); @@ -1992,9 +1994,11 @@ compiler_class(struct compiler *c, stmt_ty s) Py_DECREF(str); } else { - /* This happens when nobody references the cell. */ + /* No methods referenced __class__, so just return None */ assert(PyDict_Size(c->u->u_cellvars) == 0); + ADDOP_O(c, LOAD_CONST, Py_None, consts); } + ADDOP_IN_SCOPE(c, RETURN_VALUE); /* create the code object */ co = assemble(c, 1); } diff --git a/Python/importlib_external.h b/Python/importlib_external.h index c5ebc6054c..1b767c5a9b 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -242,7 +242,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,95,97,116,111,109,105,99,106,0,0,0,115,26,0,0, 0,0,5,16,1,6,1,26,1,2,3,14,1,20,1,16, 1,14,1,2,1,14,1,14,1,6,1,114,58,0,0,0, - 105,50,13,0,0,233,2,0,0,0,114,15,0,0,0,115, + 105,51,13,0,0,233,2,0,0,0,114,15,0,0,0,115, 2,0,0,0,13,10,90,11,95,95,112,121,99,97,99,104, 101,95,95,122,4,111,112,116,45,122,3,46,112,121,122,4, 46,112,121,99,78,41,1,218,12,111,112,116,105,109,105,122, @@ -346,7 +346,7 @@ const unsigned char _Py_M__importlib_external[] = { 103,90,15,97,108,109,111,115,116,95,102,105,108,101,110,97, 109,101,114,4,0,0,0,114,4,0,0,0,114,6,0,0, 0,218,17,99,97,99,104,101,95,102,114,111,109,95,115,111, - 117,114,99,101,6,1,0,0,115,48,0,0,0,0,18,8, + 117,114,99,101,7,1,0,0,115,48,0,0,0,0,18,8, 1,6,1,6,1,8,1,4,1,8,1,12,1,10,1,12, 1,16,1,8,1,8,1,8,1,24,1,8,1,12,1,6, 2,8,1,8,1,8,1,8,1,14,1,14,1,114,83,0, @@ -420,7 +420,7 @@ const unsigned char _Py_M__importlib_external[] = { 112,116,95,108,101,118,101,108,90,13,98,97,115,101,95,102, 105,108,101,110,97,109,101,114,4,0,0,0,114,4,0,0, 0,114,6,0,0,0,218,17,115,111,117,114,99,101,95,102, - 114,111,109,95,99,97,99,104,101,51,1,0,0,115,46,0, + 114,111,109,95,99,97,99,104,101,52,1,0,0,115,46,0, 0,0,0,9,12,1,8,1,10,1,12,1,12,1,8,1, 6,1,10,1,10,1,8,1,6,1,10,1,8,1,16,1, 10,1,6,1,8,1,16,1,8,1,6,1,8,1,14,1, @@ -456,7 +456,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,105,111,110,218,11,115,111,117,114,99,101,95,112,97,116, 104,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, 218,15,95,103,101,116,95,115,111,117,114,99,101,102,105,108, - 101,85,1,0,0,115,20,0,0,0,0,7,12,1,4,1, + 101,86,1,0,0,115,20,0,0,0,0,7,12,1,4,1, 16,1,26,1,4,1,2,1,12,1,18,1,18,1,114,95, 0,0,0,99,1,0,0,0,0,0,0,0,1,0,0,0, 11,0,0,0,67,0,0,0,115,72,0,0,0,124,0,106, @@ -469,7 +469,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,83,0,0,0,114,70,0,0,0,114,78,0,0,0,41, 1,218,8,102,105,108,101,110,97,109,101,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,11,95,103,101,116, - 95,99,97,99,104,101,100,104,1,0,0,115,16,0,0,0, + 95,99,97,99,104,101,100,105,1,0,0,115,16,0,0,0, 0,1,14,1,2,1,8,1,14,1,8,1,14,1,4,2, 114,99,0,0,0,99,1,0,0,0,0,0,0,0,2,0, 0,0,11,0,0,0,67,0,0,0,115,52,0,0,0,121, @@ -483,7 +483,7 @@ const unsigned char _Py_M__importlib_external[] = { 128,0,0,0,41,3,114,41,0,0,0,114,43,0,0,0, 114,42,0,0,0,41,2,114,37,0,0,0,114,44,0,0, 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 218,10,95,99,97,108,99,95,109,111,100,101,116,1,0,0, + 218,10,95,99,97,108,99,95,109,111,100,101,117,1,0,0, 115,12,0,0,0,0,2,2,1,14,1,14,1,10,3,8, 1,114,101,0,0,0,99,1,0,0,0,0,0,0,0,3, 0,0,0,11,0,0,0,3,0,0,0,115,68,0,0,0, @@ -521,7 +521,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,103,115,90,6,107,119,97,114,103,115,41,1,218,6,109, 101,116,104,111,100,114,4,0,0,0,114,6,0,0,0,218, 19,95,99,104,101,99,107,95,110,97,109,101,95,119,114,97, - 112,112,101,114,136,1,0,0,115,12,0,0,0,0,1,8, + 112,112,101,114,137,1,0,0,115,12,0,0,0,0,1,8, 1,8,1,10,1,4,1,18,1,122,40,95,99,104,101,99, 107,95,110,97,109,101,46,60,108,111,99,97,108,115,62,46, 95,99,104,101,99,107,95,110,97,109,101,95,119,114,97,112, @@ -540,7 +540,7 @@ const unsigned char _Py_M__importlib_external[] = { 100,105,99,116,95,95,218,6,117,112,100,97,116,101,41,3, 90,3,110,101,119,90,3,111,108,100,114,55,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,5, - 95,119,114,97,112,147,1,0,0,115,8,0,0,0,0,1, + 95,119,114,97,112,148,1,0,0,115,8,0,0,0,0,1, 10,1,10,1,22,1,122,26,95,99,104,101,99,107,95,110, 97,109,101,46,60,108,111,99,97,108,115,62,46,95,119,114, 97,112,41,1,78,41,3,218,10,95,98,111,111,116,115,116, @@ -548,7 +548,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,111,114,41,3,114,106,0,0,0,114,107,0,0,0,114, 117,0,0,0,114,4,0,0,0,41,1,114,106,0,0,0, 114,6,0,0,0,218,11,95,99,104,101,99,107,95,110,97, - 109,101,128,1,0,0,115,14,0,0,0,0,8,14,7,2, + 109,101,129,1,0,0,115,14,0,0,0,0,8,14,7,2, 1,10,1,14,2,14,5,10,1,114,120,0,0,0,99,2, 0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,67, 0,0,0,115,60,0,0,0,124,0,106,0,124,1,131,1, @@ -576,7 +576,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,114,218,8,112,111,114,116,105,111,110,115,218,3,109,115, 103,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, 218,17,95,102,105,110,100,95,109,111,100,117,108,101,95,115, - 104,105,109,156,1,0,0,115,10,0,0,0,0,10,14,1, + 104,105,109,157,1,0,0,115,10,0,0,0,0,10,14,1, 16,1,4,1,22,1,114,127,0,0,0,99,4,0,0,0, 0,0,0,0,11,0,0,0,22,0,0,0,67,0,0,0, 115,136,1,0,0,105,0,125,4,124,2,100,1,107,9,114, @@ -656,7 +656,7 @@ const unsigned char _Py_M__importlib_external[] = { 115,111,117,114,99,101,95,115,105,122,101,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,25,95,118,97,108, 105,100,97,116,101,95,98,121,116,101,99,111,100,101,95,104, - 101,97,100,101,114,173,1,0,0,115,76,0,0,0,0,11, + 101,97,100,101,114,174,1,0,0,115,76,0,0,0,0,11, 4,1,8,1,10,3,4,1,8,1,8,1,12,1,12,1, 12,1,8,1,12,1,12,1,14,1,12,1,10,1,12,1, 10,1,12,1,10,1,12,1,8,1,10,1,2,1,16,1, @@ -685,7 +685,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,114,102,0,0,0,114,93,0,0,0,114,94,0, 0,0,218,4,99,111,100,101,114,4,0,0,0,114,4,0, 0,0,114,6,0,0,0,218,17,95,99,111,109,112,105,108, - 101,95,98,121,116,101,99,111,100,101,228,1,0,0,115,16, + 101,95,98,121,116,101,99,111,100,101,229,1,0,0,115,16, 0,0,0,0,2,10,1,10,1,12,1,8,1,12,1,4, 2,10,1,114,145,0,0,0,114,62,0,0,0,99,3,0, 0,0,0,0,0,0,4,0,0,0,3,0,0,0,67,0, @@ -704,7 +704,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,144,0,0,0,114,130,0,0,0,114,138,0,0,0,114, 56,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, 0,0,0,218,17,95,99,111,100,101,95,116,111,95,98,121, - 116,101,99,111,100,101,240,1,0,0,115,10,0,0,0,0, + 116,101,99,111,100,101,241,1,0,0,115,10,0,0,0,0, 3,8,1,14,1,14,1,16,1,114,148,0,0,0,99,1, 0,0,0,0,0,0,0,5,0,0,0,4,0,0,0,67, 0,0,0,115,62,0,0,0,100,1,100,2,108,0,125,1, @@ -731,7 +731,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,110,99,111,100,105,110,103,90,15,110,101,119,108,105,110, 101,95,100,101,99,111,100,101,114,114,4,0,0,0,114,4, 0,0,0,114,6,0,0,0,218,13,100,101,99,111,100,101, - 95,115,111,117,114,99,101,250,1,0,0,115,10,0,0,0, + 95,115,111,117,114,99,101,251,1,0,0,115,10,0,0,0, 0,5,8,1,12,1,10,1,12,1,114,153,0,0,0,41, 2,114,124,0,0,0,218,26,115,117,98,109,111,100,117,108, 101,95,115,101,97,114,99,104,95,108,111,99,97,116,105,111, @@ -793,7 +793,7 @@ const unsigned char _Py_M__importlib_external[] = { 7,100,105,114,110,97,109,101,114,4,0,0,0,114,4,0, 0,0,114,6,0,0,0,218,23,115,112,101,99,95,102,114, 111,109,95,102,105,108,101,95,108,111,99,97,116,105,111,110, - 11,2,0,0,115,62,0,0,0,0,12,8,4,4,1,10, + 12,2,0,0,115,62,0,0,0,0,12,8,4,4,1,10, 2,2,1,14,1,14,1,8,2,10,8,16,1,6,3,8, 1,16,1,14,1,10,1,6,1,6,2,4,3,8,2,10, 1,2,1,14,1,14,1,6,2,4,1,8,2,6,1,12, @@ -829,7 +829,7 @@ const unsigned char _Py_M__importlib_external[] = { 89,95,76,79,67,65,76,95,77,65,67,72,73,78,69,41, 2,218,3,99,108,115,114,5,0,0,0,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,14,95,111,112,101, - 110,95,114,101,103,105,115,116,114,121,91,2,0,0,115,8, + 110,95,114,101,103,105,115,116,114,121,92,2,0,0,115,8, 0,0,0,0,2,2,1,14,1,14,1,122,36,87,105,110, 100,111,119,115,82,101,103,105,115,116,114,121,70,105,110,100, 101,114,46,95,111,112,101,110,95,114,101,103,105,115,116,114, @@ -855,7 +855,7 @@ const unsigned char _Py_M__importlib_external[] = { 121,114,5,0,0,0,90,4,104,107,101,121,218,8,102,105, 108,101,112,97,116,104,114,4,0,0,0,114,4,0,0,0, 114,6,0,0,0,218,16,95,115,101,97,114,99,104,95,114, - 101,103,105,115,116,114,121,98,2,0,0,115,22,0,0,0, + 101,103,105,115,116,114,121,99,2,0,0,115,22,0,0,0, 0,2,6,1,8,2,6,1,6,1,22,1,2,1,12,1, 26,1,14,1,6,1,122,38,87,105,110,100,111,119,115,82, 101,103,105,115,116,114,121,70,105,110,100,101,114,46,95,115, @@ -877,7 +877,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,0,0,218,6,116,97,114,103,101,116,114,174,0,0,0, 114,124,0,0,0,114,164,0,0,0,114,162,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,9, - 102,105,110,100,95,115,112,101,99,113,2,0,0,115,26,0, + 102,105,110,100,95,115,112,101,99,114,2,0,0,115,26,0, 0,0,0,2,10,1,8,1,4,1,2,1,12,1,14,1, 6,1,16,1,14,1,6,1,8,1,8,1,122,31,87,105, 110,100,111,119,115,82,101,103,105,115,116,114,121,70,105,110, @@ -896,7 +896,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,124,0,0,0,41,4,114,168,0,0,0,114,123,0, 0,0,114,37,0,0,0,114,162,0,0,0,114,4,0,0, 0,114,4,0,0,0,114,6,0,0,0,218,11,102,105,110, - 100,95,109,111,100,117,108,101,129,2,0,0,115,8,0,0, + 100,95,109,111,100,117,108,101,130,2,0,0,115,8,0,0, 0,0,7,12,1,8,1,6,2,122,33,87,105,110,100,111, 119,115,82,101,103,105,115,116,114,121,70,105,110,100,101,114, 46,102,105,110,100,95,109,111,100,117,108,101,41,2,78,78, @@ -906,7 +906,7 @@ const unsigned char _Py_M__importlib_external[] = { 101,116,104,111,100,114,169,0,0,0,114,175,0,0,0,114, 178,0,0,0,114,179,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,166,0, - 0,0,79,2,0,0,115,20,0,0,0,8,2,4,3,4, + 0,0,80,2,0,0,115,20,0,0,0,8,2,4,3,4, 3,4,2,4,2,12,7,12,15,2,1,12,15,2,1,114, 166,0,0,0,99,0,0,0,0,0,0,0,0,0,0,0, 0,2,0,0,0,64,0,0,0,115,48,0,0,0,101,0, @@ -941,7 +941,7 @@ const unsigned char _Py_M__importlib_external[] = { 98,0,0,0,90,13,102,105,108,101,110,97,109,101,95,98, 97,115,101,90,9,116,97,105,108,95,110,97,109,101,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,157,0, - 0,0,148,2,0,0,115,8,0,0,0,0,3,18,1,16, + 0,0,149,2,0,0,115,8,0,0,0,0,3,18,1,16, 1,14,1,122,24,95,76,111,97,100,101,114,66,97,115,105, 99,115,46,105,115,95,112,97,99,107,97,103,101,99,2,0, 0,0,0,0,0,0,2,0,0,0,1,0,0,0,67,0, @@ -951,7 +951,7 @@ const unsigned char _Py_M__importlib_external[] = { 99,114,101,97,116,105,111,110,46,78,114,4,0,0,0,41, 2,114,104,0,0,0,114,162,0,0,0,114,4,0,0,0, 114,4,0,0,0,114,6,0,0,0,218,13,99,114,101,97, - 116,101,95,109,111,100,117,108,101,156,2,0,0,115,0,0, + 116,101,95,109,111,100,117,108,101,157,2,0,0,115,0,0, 0,0,122,27,95,76,111,97,100,101,114,66,97,115,105,99, 115,46,99,114,101,97,116,101,95,109,111,100,117,108,101,99, 2,0,0,0,0,0,0,0,3,0,0,0,4,0,0,0, @@ -971,7 +971,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,115,0,0,0,41,3,114,104,0,0,0,218,6,109,111, 100,117,108,101,114,144,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,6,0,0,0,218,11,101,120,101,99,95,109, - 111,100,117,108,101,159,2,0,0,115,10,0,0,0,0,2, + 111,100,117,108,101,160,2,0,0,115,10,0,0,0,0,2, 12,1,8,1,6,1,10,1,122,25,95,76,111,97,100,101, 114,66,97,115,105,99,115,46,101,120,101,99,95,109,111,100, 117,108,101,99,2,0,0,0,0,0,0,0,2,0,0,0, @@ -982,14 +982,14 @@ const unsigned char _Py_M__importlib_external[] = { 95,108,111,97,100,95,109,111,100,117,108,101,95,115,104,105, 109,41,2,114,104,0,0,0,114,123,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,218,11,108,111, - 97,100,95,109,111,100,117,108,101,167,2,0,0,115,2,0, + 97,100,95,109,111,100,117,108,101,168,2,0,0,115,2,0, 0,0,0,2,122,25,95,76,111,97,100,101,114,66,97,115, 105,99,115,46,108,111,97,100,95,109,111,100,117,108,101,78, 41,8,114,109,0,0,0,114,108,0,0,0,114,110,0,0, 0,114,111,0,0,0,114,157,0,0,0,114,183,0,0,0, 114,188,0,0,0,114,190,0,0,0,114,4,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,181, - 0,0,0,143,2,0,0,115,10,0,0,0,8,3,4,2, + 0,0,0,144,2,0,0,115,10,0,0,0,8,3,4,2, 8,8,8,3,8,8,114,181,0,0,0,99,0,0,0,0, 0,0,0,0,0,0,0,0,3,0,0,0,64,0,0,0, 115,74,0,0,0,101,0,90,1,100,0,90,2,100,1,100, @@ -1014,7 +1014,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,32,32,32,78,41,1,218,7,73,79,69,114, 114,111,114,41,2,114,104,0,0,0,114,37,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,10, - 112,97,116,104,95,109,116,105,109,101,174,2,0,0,115,2, + 112,97,116,104,95,109,116,105,109,101,175,2,0,0,115,2, 0,0,0,0,6,122,23,83,111,117,114,99,101,76,111,97, 100,101,114,46,112,97,116,104,95,109,116,105,109,101,99,2, 0,0,0,0,0,0,0,2,0,0,0,3,0,0,0,67, @@ -1049,7 +1049,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,32,32,32,114,130,0,0,0,41,1,114,193, 0,0,0,41,2,114,104,0,0,0,114,37,0,0,0,114, 4,0,0,0,114,4,0,0,0,114,6,0,0,0,218,10, - 112,97,116,104,95,115,116,97,116,115,182,2,0,0,115,2, + 112,97,116,104,95,115,116,97,116,115,183,2,0,0,115,2, 0,0,0,0,11,122,23,83,111,117,114,99,101,76,111,97, 100,101,114,46,112,97,116,104,95,115,116,97,116,115,99,4, 0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,67, @@ -1073,7 +1073,7 @@ const unsigned char _Py_M__importlib_external[] = { 94,0,0,0,90,10,99,97,99,104,101,95,112,97,116,104, 114,56,0,0,0,114,4,0,0,0,114,4,0,0,0,114, 6,0,0,0,218,15,95,99,97,99,104,101,95,98,121,116, - 101,99,111,100,101,195,2,0,0,115,2,0,0,0,0,8, + 101,99,111,100,101,196,2,0,0,115,2,0,0,0,0,8, 122,28,83,111,117,114,99,101,76,111,97,100,101,114,46,95, 99,97,99,104,101,95,98,121,116,101,99,111,100,101,99,3, 0,0,0,0,0,0,0,3,0,0,0,1,0,0,0,67, @@ -1090,7 +1090,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,32,32,32,32,32,78,114,4,0,0,0,41,3,114,104, 0,0,0,114,37,0,0,0,114,56,0,0,0,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,195,0,0, - 0,205,2,0,0,115,0,0,0,0,122,21,83,111,117,114, + 0,206,2,0,0,115,0,0,0,0,122,21,83,111,117,114, 99,101,76,111,97,100,101,114,46,115,101,116,95,100,97,116, 97,99,2,0,0,0,0,0,0,0,5,0,0,0,16,0, 0,0,67,0,0,0,115,82,0,0,0,124,0,106,0,124, @@ -1110,7 +1110,7 @@ const unsigned char _Py_M__importlib_external[] = { 0,114,153,0,0,0,41,5,114,104,0,0,0,114,123,0, 0,0,114,37,0,0,0,114,151,0,0,0,218,3,101,120, 99,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 218,10,103,101,116,95,115,111,117,114,99,101,212,2,0,0, + 218,10,103,101,116,95,115,111,117,114,99,101,213,2,0,0, 115,14,0,0,0,0,2,10,1,2,1,14,1,16,1,4, 1,28,1,122,23,83,111,117,114,99,101,76,111,97,100,101, 114,46,103,101,116,95,115,111,117,114,99,101,114,31,0,0, @@ -1132,7 +1132,7 @@ const unsigned char _Py_M__importlib_external[] = { 112,105,108,101,41,4,114,104,0,0,0,114,56,0,0,0, 114,37,0,0,0,114,200,0,0,0,114,4,0,0,0,114, 4,0,0,0,114,6,0,0,0,218,14,115,111,117,114,99, - 101,95,116,111,95,99,111,100,101,222,2,0,0,115,4,0, + 101,95,116,111,95,99,111,100,101,223,2,0,0,115,4,0, 0,0,0,5,12,1,122,27,83,111,117,114,99,101,76,111, 97,100,101,114,46,115,111,117,114,99,101,95,116,111,95,99, 111,100,101,99,2,0,0,0,0,0,0,0,10,0,0,0, @@ -1189,7 +1189,7 @@ const unsigned char _Py_M__importlib_external[] = { 10,98,121,116,101,115,95,100,97,116,97,114,151,0,0,0, 90,11,99,111,100,101,95,111,98,106,101,99,116,114,4,0, 0,0,114,4,0,0,0,114,6,0,0,0,114,184,0,0, - 0,230,2,0,0,115,78,0,0,0,0,7,10,1,4,1, + 0,231,2,0,0,115,78,0,0,0,0,7,10,1,4,1, 2,1,12,1,14,1,10,2,2,1,14,1,14,1,6,2, 12,1,2,1,14,1,14,1,6,2,2,1,4,1,4,1, 12,1,18,1,6,2,8,1,6,1,6,1,2,1,8,1, @@ -1201,7 +1201,7 @@ const unsigned char _Py_M__importlib_external[] = { 114,196,0,0,0,114,195,0,0,0,114,199,0,0,0,114, 203,0,0,0,114,184,0,0,0,114,4,0,0,0,114,4, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,191,0, - 0,0,172,2,0,0,115,14,0,0,0,8,2,8,8,8, + 0,0,173,2,0,0,115,14,0,0,0,8,2,8,8,8, 13,8,10,8,7,8,10,14,8,114,191,0,0,0,99,0, 0,0,0,0,0,0,0,0,0,0,0,4,0,0,0,0, 0,0,0,115,80,0,0,0,101,0,90,1,100,0,90,2, @@ -1209,7 +1209,7 @@ const unsigned char _Py_M__importlib_external[] = { 132,0,90,5,100,6,100,7,132,0,90,6,101,7,135,0, 102,1,100,8,100,9,132,8,131,1,90,8,101,7,100,10, 100,11,132,0,131,1,90,9,100,12,100,13,132,0,90,10, - 135,0,90,11,100,14,83,0,41,15,218,10,70,105,108,101, + 135,0,4,0,90,11,83,0,41,14,218,10,70,105,108,101, 76,111,97,100,101,114,122,103,66,97,115,101,32,102,105,108, 101,32,108,111,97,100,101,114,32,99,108,97,115,115,32,119, 104,105,99,104,32,105,109,112,108,101,109,101,110,116,115,32, @@ -1227,7 +1227,7 @@ const unsigned char _Py_M__importlib_external[] = { 32,102,105,110,100,101,114,46,78,41,2,114,102,0,0,0, 114,37,0,0,0,41,3,114,104,0,0,0,114,123,0,0, 0,114,37,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,182,0,0,0,31,3,0,0,115,4, + 114,6,0,0,0,114,182,0,0,0,32,3,0,0,115,4, 0,0,0,0,3,6,1,122,19,70,105,108,101,76,111,97, 100,101,114,46,95,95,105,110,105,116,95,95,99,2,0,0, 0,0,0,0,0,2,0,0,0,2,0,0,0,67,0,0, @@ -1236,7 +1236,7 @@ const unsigned char _Py_M__importlib_external[] = { 78,41,2,218,9,95,95,99,108,97,115,115,95,95,114,115, 0,0,0,41,2,114,104,0,0,0,218,5,111,116,104,101, 114,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 218,6,95,95,101,113,95,95,37,3,0,0,115,4,0,0, + 218,6,95,95,101,113,95,95,38,3,0,0,115,4,0,0, 0,0,1,12,1,122,17,70,105,108,101,76,111,97,100,101, 114,46,95,95,101,113,95,95,99,1,0,0,0,0,0,0, 0,1,0,0,0,3,0,0,0,67,0,0,0,115,20,0, @@ -1244,7 +1244,7 @@ const unsigned char _Py_M__importlib_external[] = { 131,1,65,0,83,0,41,1,78,41,3,218,4,104,97,115, 104,114,102,0,0,0,114,37,0,0,0,41,1,114,104,0, 0,0,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,218,8,95,95,104,97,115,104,95,95,41,3,0,0,115, + 0,218,8,95,95,104,97,115,104,95,95,42,3,0,0,115, 2,0,0,0,0,1,122,19,70,105,108,101,76,111,97,100, 101,114,46,95,95,104,97,115,104,95,95,99,2,0,0,0, 0,0,0,0,2,0,0,0,3,0,0,0,3,0,0,0, @@ -1259,7 +1259,7 @@ const unsigned char _Py_M__importlib_external[] = { 5,115,117,112,101,114,114,207,0,0,0,114,190,0,0,0, 41,2,114,104,0,0,0,114,123,0,0,0,41,1,114,208, 0,0,0,114,4,0,0,0,114,6,0,0,0,114,190,0, - 0,0,44,3,0,0,115,2,0,0,0,0,10,122,22,70, + 0,0,45,3,0,0,115,2,0,0,0,0,10,122,22,70, 105,108,101,76,111,97,100,101,114,46,108,111,97,100,95,109, 111,100,117,108,101,99,2,0,0,0,0,0,0,0,2,0, 0,0,1,0,0,0,67,0,0,0,115,6,0,0,0,124, @@ -1269,7 +1269,7 @@ const unsigned char _Py_M__importlib_external[] = { 111,117,110,100,32,98,121,32,116,104,101,32,102,105,110,100, 101,114,46,41,1,114,37,0,0,0,41,2,114,104,0,0, 0,114,123,0,0,0,114,4,0,0,0,114,4,0,0,0, - 114,6,0,0,0,114,155,0,0,0,56,3,0,0,115,2, + 114,6,0,0,0,114,155,0,0,0,57,3,0,0,115,2, 0,0,0,0,3,122,23,70,105,108,101,76,111,97,100,101, 114,46,103,101,116,95,102,105,108,101,110,97,109,101,99,2, 0,0,0,0,0,0,0,3,0,0,0,9,0,0,0,67, @@ -1281,1156 +1281,1156 @@ const unsigned char _Py_M__importlib_external[] = { 101,115,46,218,1,114,78,41,3,114,52,0,0,0,114,53, 0,0,0,90,4,114,101,97,100,41,3,114,104,0,0,0, 114,37,0,0,0,114,57,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,197,0,0,0,61,3, + 4,0,0,0,114,6,0,0,0,114,197,0,0,0,62,3, 0,0,115,4,0,0,0,0,2,14,1,122,19,70,105,108, 101,76,111,97,100,101,114,46,103,101,116,95,100,97,116,97, - 78,41,12,114,109,0,0,0,114,108,0,0,0,114,110,0, - 0,0,114,111,0,0,0,114,182,0,0,0,114,210,0,0, - 0,114,212,0,0,0,114,120,0,0,0,114,190,0,0,0, - 114,155,0,0,0,114,197,0,0,0,90,13,95,95,99,108, - 97,115,115,99,101,108,108,95,95,114,4,0,0,0,114,4, - 0,0,0,41,1,114,208,0,0,0,114,6,0,0,0,114, - 207,0,0,0,26,3,0,0,115,14,0,0,0,8,3,4, - 2,8,6,8,4,8,3,16,12,12,5,114,207,0,0,0, - 99,0,0,0,0,0,0,0,0,0,0,0,0,3,0,0, - 0,64,0,0,0,115,46,0,0,0,101,0,90,1,100,0, - 90,2,100,1,90,3,100,2,100,3,132,0,90,4,100,4, - 100,5,132,0,90,5,100,6,100,7,156,1,100,8,100,9, - 132,2,90,6,100,10,83,0,41,11,218,16,83,111,117,114, - 99,101,70,105,108,101,76,111,97,100,101,114,122,62,67,111, - 110,99,114,101,116,101,32,105,109,112,108,101,109,101,110,116, - 97,116,105,111,110,32,111,102,32,83,111,117,114,99,101,76, - 111,97,100,101,114,32,117,115,105,110,103,32,116,104,101,32, - 102,105,108,101,32,115,121,115,116,101,109,46,99,2,0,0, - 0,0,0,0,0,3,0,0,0,3,0,0,0,67,0,0, - 0,115,22,0,0,0,116,0,124,1,131,1,125,2,124,2, - 106,1,124,2,106,2,100,1,156,2,83,0,41,2,122,33, - 82,101,116,117,114,110,32,116,104,101,32,109,101,116,97,100, - 97,116,97,32,102,111,114,32,116,104,101,32,112,97,116,104, - 46,41,2,114,130,0,0,0,114,131,0,0,0,41,3,114, - 41,0,0,0,218,8,115,116,95,109,116,105,109,101,90,7, - 115,116,95,115,105,122,101,41,3,114,104,0,0,0,114,37, - 0,0,0,114,205,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,194,0,0,0,71,3,0,0, - 115,4,0,0,0,0,2,8,1,122,27,83,111,117,114,99, - 101,70,105,108,101,76,111,97,100,101,114,46,112,97,116,104, - 95,115,116,97,116,115,99,4,0,0,0,0,0,0,0,5, - 0,0,0,5,0,0,0,67,0,0,0,115,24,0,0,0, - 116,0,124,1,131,1,125,4,124,0,106,1,124,2,124,3, - 124,4,100,1,141,3,83,0,41,2,78,41,1,218,5,95, - 109,111,100,101,41,2,114,101,0,0,0,114,195,0,0,0, - 41,5,114,104,0,0,0,114,94,0,0,0,114,93,0,0, - 0,114,56,0,0,0,114,44,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,196,0,0,0,76, - 3,0,0,115,4,0,0,0,0,2,8,1,122,32,83,111, - 117,114,99,101,70,105,108,101,76,111,97,100,101,114,46,95, - 99,97,99,104,101,95,98,121,116,101,99,111,100,101,105,182, - 1,0,0,41,1,114,217,0,0,0,99,3,0,0,0,1, - 0,0,0,9,0,0,0,17,0,0,0,67,0,0,0,115, - 250,0,0,0,116,0,124,1,131,1,92,2,125,4,125,5, - 103,0,125,6,120,40,124,4,114,56,116,1,124,4,131,1, - 12,0,114,56,116,0,124,4,131,1,92,2,125,4,125,7, - 124,6,106,2,124,7,131,1,1,0,113,18,87,0,120,108, - 116,3,124,6,131,1,68,0,93,96,125,7,116,4,124,4, - 124,7,131,2,125,4,121,14,116,5,106,6,124,4,131,1, - 1,0,87,0,113,68,4,0,116,7,107,10,114,118,1,0, - 1,0,1,0,119,68,89,0,113,68,4,0,116,8,107,10, - 114,162,1,0,125,8,1,0,122,18,116,9,106,10,100,1, - 124,4,124,8,131,3,1,0,100,2,83,0,100,2,125,8, - 126,8,88,0,113,68,88,0,113,68,87,0,121,28,116,11, - 124,1,124,2,124,3,131,3,1,0,116,9,106,10,100,3, - 124,1,131,2,1,0,87,0,110,48,4,0,116,8,107,10, - 114,244,1,0,125,8,1,0,122,20,116,9,106,10,100,1, - 124,1,124,8,131,3,1,0,87,0,89,0,100,2,100,2, - 125,8,126,8,88,0,110,2,88,0,100,2,83,0,41,4, - 122,27,87,114,105,116,101,32,98,121,116,101,115,32,100,97, - 116,97,32,116,111,32,97,32,102,105,108,101,46,122,27,99, - 111,117,108,100,32,110,111,116,32,99,114,101,97,116,101,32, - 123,33,114,125,58,32,123,33,114,125,78,122,12,99,114,101, - 97,116,101,100,32,123,33,114,125,41,12,114,40,0,0,0, - 114,48,0,0,0,114,161,0,0,0,114,35,0,0,0,114, - 30,0,0,0,114,3,0,0,0,90,5,109,107,100,105,114, - 218,15,70,105,108,101,69,120,105,115,116,115,69,114,114,111, - 114,114,42,0,0,0,114,118,0,0,0,114,133,0,0,0, - 114,58,0,0,0,41,9,114,104,0,0,0,114,37,0,0, - 0,114,56,0,0,0,114,217,0,0,0,218,6,112,97,114, - 101,110,116,114,98,0,0,0,114,29,0,0,0,114,25,0, - 0,0,114,198,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,195,0,0,0,81,3,0,0,115, - 42,0,0,0,0,2,12,1,4,2,16,1,12,1,14,2, - 14,1,10,1,2,1,14,1,14,2,6,1,16,3,6,1, - 8,1,20,1,2,1,12,1,16,1,16,2,8,1,122,25, - 83,111,117,114,99,101,70,105,108,101,76,111,97,100,101,114, - 46,115,101,116,95,100,97,116,97,78,41,7,114,109,0,0, - 0,114,108,0,0,0,114,110,0,0,0,114,111,0,0,0, - 114,194,0,0,0,114,196,0,0,0,114,195,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,215,0,0,0,67,3,0,0,115,8,0,0, - 0,8,2,4,2,8,5,8,5,114,215,0,0,0,99,0, - 0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,64, - 0,0,0,115,32,0,0,0,101,0,90,1,100,0,90,2, - 100,1,90,3,100,2,100,3,132,0,90,4,100,4,100,5, - 132,0,90,5,100,6,83,0,41,7,218,20,83,111,117,114, - 99,101,108,101,115,115,70,105,108,101,76,111,97,100,101,114, - 122,45,76,111,97,100,101,114,32,119,104,105,99,104,32,104, - 97,110,100,108,101,115,32,115,111,117,114,99,101,108,101,115, - 115,32,102,105,108,101,32,105,109,112,111,114,116,115,46,99, - 2,0,0,0,0,0,0,0,5,0,0,0,5,0,0,0, - 67,0,0,0,115,48,0,0,0,124,0,106,0,124,1,131, - 1,125,2,124,0,106,1,124,2,131,1,125,3,116,2,124, - 3,124,1,124,2,100,1,141,3,125,4,116,3,124,4,124, - 1,124,2,100,2,141,3,83,0,41,3,78,41,2,114,102, - 0,0,0,114,37,0,0,0,41,2,114,102,0,0,0,114, - 93,0,0,0,41,4,114,155,0,0,0,114,197,0,0,0, - 114,139,0,0,0,114,145,0,0,0,41,5,114,104,0,0, - 0,114,123,0,0,0,114,37,0,0,0,114,56,0,0,0, - 114,206,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,114,184,0,0,0,116,3,0,0,115,8,0, - 0,0,0,1,10,1,10,1,14,1,122,29,83,111,117,114, - 99,101,108,101,115,115,70,105,108,101,76,111,97,100,101,114, - 46,103,101,116,95,99,111,100,101,99,2,0,0,0,0,0, - 0,0,2,0,0,0,1,0,0,0,67,0,0,0,115,4, - 0,0,0,100,1,83,0,41,2,122,39,82,101,116,117,114, - 110,32,78,111,110,101,32,97,115,32,116,104,101,114,101,32, - 105,115,32,110,111,32,115,111,117,114,99,101,32,99,111,100, - 101,46,78,114,4,0,0,0,41,2,114,104,0,0,0,114, - 123,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,199,0,0,0,122,3,0,0,115,2,0,0, - 0,0,2,122,31,83,111,117,114,99,101,108,101,115,115,70, - 105,108,101,76,111,97,100,101,114,46,103,101,116,95,115,111, - 117,114,99,101,78,41,6,114,109,0,0,0,114,108,0,0, - 0,114,110,0,0,0,114,111,0,0,0,114,184,0,0,0, - 114,199,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,220,0,0,0,112,3, - 0,0,115,6,0,0,0,8,2,4,2,8,6,114,220,0, - 0,0,99,0,0,0,0,0,0,0,0,0,0,0,0,3, - 0,0,0,64,0,0,0,115,92,0,0,0,101,0,90,1, - 100,0,90,2,100,1,90,3,100,2,100,3,132,0,90,4, - 100,4,100,5,132,0,90,5,100,6,100,7,132,0,90,6, - 100,8,100,9,132,0,90,7,100,10,100,11,132,0,90,8, - 100,12,100,13,132,0,90,9,100,14,100,15,132,0,90,10, - 100,16,100,17,132,0,90,11,101,12,100,18,100,19,132,0, - 131,1,90,13,100,20,83,0,41,21,218,19,69,120,116,101, - 110,115,105,111,110,70,105,108,101,76,111,97,100,101,114,122, - 93,76,111,97,100,101,114,32,102,111,114,32,101,120,116,101, - 110,115,105,111,110,32,109,111,100,117,108,101,115,46,10,10, - 32,32,32,32,84,104,101,32,99,111,110,115,116,114,117,99, - 116,111,114,32,105,115,32,100,101,115,105,103,110,101,100,32, - 116,111,32,119,111,114,107,32,119,105,116,104,32,70,105,108, - 101,70,105,110,100,101,114,46,10,10,32,32,32,32,99,3, - 0,0,0,0,0,0,0,3,0,0,0,2,0,0,0,67, - 0,0,0,115,16,0,0,0,124,1,124,0,95,0,124,2, - 124,0,95,1,100,0,83,0,41,1,78,41,2,114,102,0, - 0,0,114,37,0,0,0,41,3,114,104,0,0,0,114,102, - 0,0,0,114,37,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,182,0,0,0,139,3,0,0, - 115,4,0,0,0,0,1,6,1,122,28,69,120,116,101,110, - 115,105,111,110,70,105,108,101,76,111,97,100,101,114,46,95, - 95,105,110,105,116,95,95,99,2,0,0,0,0,0,0,0, - 2,0,0,0,2,0,0,0,67,0,0,0,115,24,0,0, - 0,124,0,106,0,124,1,106,0,107,2,111,22,124,0,106, - 1,124,1,106,1,107,2,83,0,41,1,78,41,2,114,208, - 0,0,0,114,115,0,0,0,41,2,114,104,0,0,0,114, - 209,0,0,0,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,114,210,0,0,0,143,3,0,0,115,4,0,0, - 0,0,1,12,1,122,26,69,120,116,101,110,115,105,111,110, - 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, - 0,0,67,0,0,0,115,20,0,0,0,116,0,124,0,106, - 1,131,1,116,0,124,0,106,2,131,1,65,0,83,0,41, - 1,78,41,3,114,211,0,0,0,114,102,0,0,0,114,37, - 0,0,0,41,1,114,104,0,0,0,114,4,0,0,0,114, - 4,0,0,0,114,6,0,0,0,114,212,0,0,0,147,3, - 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, - 3,0,0,0,4,0,0,0,67,0,0,0,115,36,0,0, - 0,116,0,106,1,116,2,106,3,124,1,131,2,125,2,116, - 0,106,4,100,1,124,1,106,5,124,0,106,6,131,3,1, - 0,124,2,83,0,41,2,122,38,67,114,101,97,116,101,32, - 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, - 101,32,123,33,114,125,32,108,111,97,100,101,100,32,102,114, - 111,109,32,123,33,114,125,41,7,114,118,0,0,0,114,185, - 0,0,0,114,143,0,0,0,90,14,99,114,101,97,116,101, - 95,100,121,110,97,109,105,99,114,133,0,0,0,114,102,0, - 0,0,114,37,0,0,0,41,3,114,104,0,0,0,114,162, - 0,0,0,114,187,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,183,0,0,0,150,3,0,0, - 115,10,0,0,0,0,2,4,1,10,1,6,1,12,1,122, - 33,69,120,116,101,110,115,105,111,110,70,105,108,101,76,111, - 97,100,101,114,46,99,114,101,97,116,101,95,109,111,100,117, - 108,101,99,2,0,0,0,0,0,0,0,2,0,0,0,4, - 0,0,0,67,0,0,0,115,36,0,0,0,116,0,106,1, - 116,2,106,3,124,1,131,2,1,0,116,0,106,4,100,1, - 124,0,106,5,124,0,106,6,131,3,1,0,100,2,83,0, - 41,3,122,30,73,110,105,116,105,97,108,105,122,101,32,97, - 110,32,101,120,116,101,110,115,105,111,110,32,109,111,100,117, - 108,101,122,40,101,120,116,101,110,115,105,111,110,32,109,111, - 100,117,108,101,32,123,33,114,125,32,101,120,101,99,117,116, - 101,100,32,102,114,111,109,32,123,33,114,125,78,41,7,114, - 118,0,0,0,114,185,0,0,0,114,143,0,0,0,90,12, 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46,10,10,32,32,32,32,32,32,32,32,114,32,0,0,0, - 78,41,7,114,3,0,0,0,114,47,0,0,0,218,17,70, - 105,108,101,78,111,116,70,111,117,110,100,69,114,114,111,114, - 114,8,0,0,0,114,250,0,0,0,114,135,0,0,0,114, - 254,0,0,0,41,3,114,168,0,0,0,114,37,0,0,0, - 114,252,0,0,0,114,4,0,0,0,114,4,0,0,0,114, - 6,0,0,0,218,20,95,112,97,116,104,95,105,109,112,111, - 114,116,101,114,95,99,97,99,104,101,55,4,0,0,115,22, - 0,0,0,0,8,8,1,2,1,12,1,14,3,6,1,2, - 1,14,1,14,1,10,1,16,1,122,31,80,97,116,104,70, - 105,110,100,101,114,46,95,112,97,116,104,95,105,109,112,111, - 114,116,101,114,95,99,97,99,104,101,99,3,0,0,0,0, - 0,0,0,6,0,0,0,3,0,0,0,67,0,0,0,115, - 82,0,0,0,116,0,124,2,100,1,131,2,114,26,124,2, - 106,1,124,1,131,1,92,2,125,3,125,4,110,14,124,2, - 106,2,124,1,131,1,125,3,103,0,125,4,124,3,100,0, - 107,9,114,60,116,3,106,4,124,1,124,3,131,2,83,0, - 116,3,106,5,124,1,100,0,131,2,125,5,124,4,124,5, - 95,6,124,5,83,0,41,2,78,114,121,0,0,0,41,7, - 114,112,0,0,0,114,121,0,0,0,114,179,0,0,0,114, - 118,0,0,0,114,176,0,0,0,114,158,0,0,0,114,154, - 0,0,0,41,6,114,168,0,0,0,114,123,0,0,0,114, - 252,0,0,0,114,124,0,0,0,114,125,0,0,0,114,162, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,6,0, - 0,0,218,16,95,108,101,103,97,99,121,95,103,101,116,95, - 115,112,101,99,77,4,0,0,115,18,0,0,0,0,4,10, - 1,16,2,10,1,4,1,8,1,12,1,12,1,6,1,122, - 27,80,97,116,104,70,105,110,100,101,114,46,95,108,101,103, - 97,99,121,95,103,101,116,95,115,112,101,99,78,99,4,0, - 0,0,0,0,0,0,9,0,0,0,5,0,0,0,67,0, - 0,0,115,170,0,0,0,103,0,125,4,120,160,124,2,68, - 0,93,130,125,5,116,0,124,5,116,1,116,2,102,2,131, - 2,115,30,113,10,124,0,106,3,124,5,131,1,125,6,124, - 6,100,1,107,9,114,10,116,4,124,6,100,2,131,2,114, - 72,124,6,106,5,124,1,124,3,131,2,125,7,110,12,124, - 0,106,6,124,1,124,6,131,2,125,7,124,7,100,1,107, - 8,114,94,113,10,124,7,106,7,100,1,107,9,114,108,124, - 7,83,0,124,7,106,8,125,8,124,8,100,1,107,8,114, - 130,116,9,100,3,131,1,130,1,124,4,106,10,124,8,131, - 1,1,0,113,10,87,0,116,11,106,12,124,1,100,1,131, - 2,125,7,124,4,124,7,95,8,124,7,83,0,100,1,83, - 0,41,4,122,63,70,105,110,100,32,116,104,101,32,108,111, - 97,100,101,114,32,111,114,32,110,97,109,101,115,112,97,99, - 101,95,112,97,116,104,32,102,111,114,32,116,104,105,115,32, - 109,111,100,117,108,101,47,112,97,99,107,97,103,101,32,110, - 97,109,101,46,78,114,178,0,0,0,122,19,115,112,101,99, - 32,109,105,115,115,105,110,103,32,108,111,97,100,101,114,41, - 13,114,141,0,0,0,114,73,0,0,0,218,5,98,121,116, - 101,115,114,0,1,0,0,114,112,0,0,0,114,178,0,0, - 0,114,1,1,0,0,114,124,0,0,0,114,154,0,0,0, - 114,103,0,0,0,114,147,0,0,0,114,118,0,0,0,114, - 158,0,0,0,41,9,114,168,0,0,0,114,123,0,0,0, - 114,37,0,0,0,114,177,0,0,0,218,14,110,97,109,101, - 115,112,97,99,101,95,112,97,116,104,90,5,101,110,116,114, - 121,114,252,0,0,0,114,162,0,0,0,114,125,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 9,95,103,101,116,95,115,112,101,99,92,4,0,0,115,40, - 0,0,0,0,5,4,1,10,1,14,1,2,1,10,1,8, - 1,10,1,14,2,12,1,8,1,2,1,10,1,4,1,6, - 1,8,1,8,5,14,2,12,1,6,1,122,20,80,97,116, - 104,70,105,110,100,101,114,46,95,103,101,116,95,115,112,101, - 99,99,4,0,0,0,0,0,0,0,6,0,0,0,4,0, - 0,0,67,0,0,0,115,100,0,0,0,124,2,100,1,107, - 8,114,14,116,0,106,1,125,2,124,0,106,2,124,1,124, - 2,124,3,131,3,125,4,124,4,100,1,107,8,114,40,100, - 1,83,0,124,4,106,3,100,1,107,8,114,92,124,4,106, - 4,125,5,124,5,114,86,100,2,124,4,95,5,116,6,124, - 1,124,5,124,0,106,2,131,3,124,4,95,4,124,4,83, - 0,100,1,83,0,110,4,124,4,83,0,100,1,83,0,41, - 3,122,141,84,114,121,32,116,111,32,102,105,110,100,32,97, - 32,115,112,101,99,32,102,111,114,32,39,102,117,108,108,110, - 97,109,101,39,32,111,110,32,115,121,115,46,112,97,116,104, - 32,111,114,32,39,112,97,116,104,39,46,10,10,32,32,32, - 32,32,32,32,32,84,104,101,32,115,101,97,114,99,104,32, - 105,115,32,98,97,115,101,100,32,111,110,32,115,121,115,46, - 112,97,116,104,95,104,111,111,107,115,32,97,110,100,32,115, - 121,115,46,112,97,116,104,95,105,109,112,111,114,116,101,114, - 95,99,97,99,104,101,46,10,32,32,32,32,32,32,32,32, - 78,90,9,110,97,109,101,115,112,97,99,101,41,7,114,8, - 0,0,0,114,37,0,0,0,114,4,1,0,0,114,124,0, - 0,0,114,154,0,0,0,114,156,0,0,0,114,227,0,0, - 0,41,6,114,168,0,0,0,114,123,0,0,0,114,37,0, - 0,0,114,177,0,0,0,114,162,0,0,0,114,3,1,0, - 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 114,178,0,0,0,124,4,0,0,115,26,0,0,0,0,6, - 8,1,6,1,14,1,8,1,4,1,10,1,6,1,4,3, - 6,1,16,1,4,2,6,2,122,20,80,97,116,104,70,105, - 110,100,101,114,46,102,105,110,100,95,115,112,101,99,99,3, - 0,0,0,0,0,0,0,4,0,0,0,3,0,0,0,67, - 0,0,0,115,30,0,0,0,124,0,106,0,124,1,124,2, - 131,2,125,3,124,3,100,1,107,8,114,24,100,1,83,0, - 124,3,106,1,83,0,41,2,122,170,102,105,110,100,32,116, - 104,101,32,109,111,100,117,108,101,32,111,110,32,115,121,115, - 46,112,97,116,104,32,111,114,32,39,112,97,116,104,39,32, - 98,97,115,101,100,32,111,110,32,115,121,115,46,112,97,116, - 104,95,104,111,111,107,115,32,97,110,100,10,32,32,32,32, - 32,32,32,32,115,121,115,46,112,97,116,104,95,105,109,112, - 111,114,116,101,114,95,99,97,99,104,101,46,10,10,32,32, - 32,32,32,32,32,32,84,104,105,115,32,109,101,116,104,111, - 100,32,105,115,32,100,101,112,114,101,99,97,116,101,100,46, - 32,32,85,115,101,32,102,105,110,100,95,115,112,101,99,40, - 41,32,105,110,115,116,101,97,100,46,10,10,32,32,32,32, - 32,32,32,32,78,41,2,114,178,0,0,0,114,124,0,0, - 0,41,4,114,168,0,0,0,114,123,0,0,0,114,37,0, - 0,0,114,162,0,0,0,114,4,0,0,0,114,4,0,0, - 0,114,6,0,0,0,114,179,0,0,0,148,4,0,0,115, - 8,0,0,0,0,8,12,1,8,1,4,1,122,22,80,97, - 116,104,70,105,110,100,101,114,46,102,105,110,100,95,109,111, - 100,117,108,101,41,1,78,41,2,78,78,41,1,78,41,12, - 114,109,0,0,0,114,108,0,0,0,114,110,0,0,0,114, - 111,0,0,0,114,180,0,0,0,114,249,0,0,0,114,254, - 0,0,0,114,0,1,0,0,114,1,1,0,0,114,4,1, - 0,0,114,178,0,0,0,114,179,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 114,248,0,0,0,30,4,0,0,115,22,0,0,0,8,2, - 4,2,12,8,12,13,12,22,12,15,2,1,12,31,2,1, - 12,23,2,1,114,248,0,0,0,99,0,0,0,0,0,0, - 0,0,0,0,0,0,3,0,0,0,64,0,0,0,115,90, - 0,0,0,101,0,90,1,100,0,90,2,100,1,90,3,100, - 2,100,3,132,0,90,4,100,4,100,5,132,0,90,5,101, - 6,90,7,100,6,100,7,132,0,90,8,100,8,100,9,132, - 0,90,9,100,19,100,11,100,12,132,1,90,10,100,13,100, - 14,132,0,90,11,101,12,100,15,100,16,132,0,131,1,90, - 13,100,17,100,18,132,0,90,14,100,10,83,0,41,20,218, - 10,70,105,108,101,70,105,110,100,101,114,122,172,70,105,108, - 101,45,98,97,115,101,100,32,102,105,110,100,101,114,46,10, - 10,32,32,32,32,73,110,116,101,114,97,99,116,105,111,110, - 115,32,119,105,116,104,32,116,104,101,32,102,105,108,101,32, - 115,121,115,116,101,109,32,97,114,101,32,99,97,99,104,101, - 100,32,102,111,114,32,112,101,114,102,111,114,109,97,110,99, - 101,44,32,98,101,105,110,103,10,32,32,32,32,114,101,102, - 114,101,115,104,101,100,32,119,104,101,110,32,116,104,101,32, - 100,105,114,101,99,116,111,114,121,32,116,104,101,32,102,105, - 110,100,101,114,32,105,115,32,104,97,110,100,108,105,110,103, - 32,104,97,115,32,98,101,101,110,32,109,111,100,105,102,105, - 101,100,46,10,10,32,32,32,32,99,2,0,0,0,0,0, - 0,0,5,0,0,0,5,0,0,0,7,0,0,0,115,88, - 0,0,0,103,0,125,3,120,40,124,2,68,0,93,32,92, - 2,137,0,125,4,124,3,106,0,135,0,102,1,100,1,100, - 2,132,8,124,4,68,0,131,1,131,1,1,0,113,10,87, - 0,124,3,124,0,95,1,124,1,112,58,100,3,124,0,95, - 2,100,6,124,0,95,3,116,4,131,0,124,0,95,5,116, - 4,131,0,124,0,95,6,100,5,83,0,41,7,122,154,73, - 110,105,116,105,97,108,105,122,101,32,119,105,116,104,32,116, - 104,101,32,112,97,116,104,32,116,111,32,115,101,97,114,99, - 104,32,111,110,32,97,110,100,32,97,32,118,97,114,105,97, - 98,108,101,32,110,117,109,98,101,114,32,111,102,10,32,32, - 32,32,32,32,32,32,50,45,116,117,112,108,101,115,32,99, - 111,110,116,97,105,110,105,110,103,32,116,104,101,32,108,111, - 97,100,101,114,32,97,110,100,32,116,104,101,32,102,105,108, - 101,32,115,117,102,102,105,120,101,115,32,116,104,101,32,108, - 111,97,100,101,114,10,32,32,32,32,32,32,32,32,114,101, - 99,111,103,110,105,122,101,115,46,99,1,0,0,0,0,0, - 0,0,2,0,0,0,3,0,0,0,51,0,0,0,115,22, - 0,0,0,124,0,93,14,125,1,124,1,136,0,102,2,86, - 0,1,0,113,2,100,0,83,0,41,1,78,114,4,0,0, - 0,41,2,114,24,0,0,0,114,222,0,0,0,41,1,114, - 124,0,0,0,114,4,0,0,0,114,6,0,0,0,114,224, - 0,0,0,177,4,0,0,115,2,0,0,0,4,0,122,38, - 70,105,108,101,70,105,110,100,101,114,46,95,95,105,110,105, - 116,95,95,46,60,108,111,99,97,108,115,62,46,60,103,101, - 110,101,120,112,114,62,114,61,0,0,0,114,31,0,0,0, - 78,114,91,0,0,0,41,7,114,147,0,0,0,218,8,95, - 108,111,97,100,101,114,115,114,37,0,0,0,218,11,95,112, - 97,116,104,95,109,116,105,109,101,218,3,115,101,116,218,11, - 95,112,97,116,104,95,99,97,99,104,101,218,19,95,114,101, - 108,97,120,101,100,95,112,97,116,104,95,99,97,99,104,101, - 41,5,114,104,0,0,0,114,37,0,0,0,218,14,108,111, - 97,100,101,114,95,100,101,116,97,105,108,115,90,7,108,111, - 97,100,101,114,115,114,164,0,0,0,114,4,0,0,0,41, - 1,114,124,0,0,0,114,6,0,0,0,114,182,0,0,0, - 171,4,0,0,115,16,0,0,0,0,4,4,1,14,1,28, - 1,6,2,10,1,6,1,8,1,122,19,70,105,108,101,70, - 105,110,100,101,114,46,95,95,105,110,105,116,95,95,99,1, - 0,0,0,0,0,0,0,1,0,0,0,2,0,0,0,67, - 0,0,0,115,10,0,0,0,100,3,124,0,95,0,100,2, - 83,0,41,4,122,31,73,110,118,97,108,105,100,97,116,101, - 32,116,104,101,32,100,105,114,101,99,116,111,114,121,32,109, - 116,105,109,101,46,114,31,0,0,0,78,114,91,0,0,0, - 41,1,114,7,1,0,0,41,1,114,104,0,0,0,114,4, - 0,0,0,114,4,0,0,0,114,6,0,0,0,114,249,0, - 0,0,185,4,0,0,115,2,0,0,0,0,2,122,28,70, - 105,108,101,70,105,110,100,101,114,46,105,110,118,97,108,105, - 100,97,116,101,95,99,97,99,104,101,115,99,2,0,0,0, - 0,0,0,0,3,0,0,0,2,0,0,0,67,0,0,0, - 115,42,0,0,0,124,0,106,0,124,1,131,1,125,2,124, - 2,100,1,107,8,114,26,100,1,103,0,102,2,83,0,124, - 2,106,1,124,2,106,2,112,38,103,0,102,2,83,0,41, - 2,122,197,84,114,121,32,116,111,32,102,105,110,100,32,97, - 32,108,111,97,100,101,114,32,102,111,114,32,116,104,101,32, - 115,112,101,99,105,102,105,101,100,32,109,111,100,117,108,101, - 44,32,111,114,32,116,104,101,32,110,97,109,101,115,112,97, - 99,101,10,32,32,32,32,32,32,32,32,112,97,99,107,97, - 103,101,32,112,111,114,116,105,111,110,115,46,32,82,101,116, - 117,114,110,115,32,40,108,111,97,100,101,114,44,32,108,105, - 115,116,45,111,102,45,112,111,114,116,105,111,110,115,41,46, - 10,10,32,32,32,32,32,32,32,32,84,104,105,115,32,109, - 101,116,104,111,100,32,105,115,32,100,101,112,114,101,99,97, - 116,101,100,46,32,32,85,115,101,32,102,105,110,100,95,115, - 112,101,99,40,41,32,105,110,115,116,101,97,100,46,10,10, - 32,32,32,32,32,32,32,32,78,41,3,114,178,0,0,0, - 114,124,0,0,0,114,154,0,0,0,41,3,114,104,0,0, - 0,114,123,0,0,0,114,162,0,0,0,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,121,0,0,0,191, - 4,0,0,115,8,0,0,0,0,7,10,1,8,1,8,1, - 122,22,70,105,108,101,70,105,110,100,101,114,46,102,105,110, - 100,95,108,111,97,100,101,114,99,6,0,0,0,0,0,0, - 0,7,0,0,0,6,0,0,0,67,0,0,0,115,26,0, - 0,0,124,1,124,2,124,3,131,2,125,6,116,0,124,2, - 124,3,124,6,124,4,100,1,141,4,83,0,41,2,78,41, - 2,114,124,0,0,0,114,154,0,0,0,41,1,114,165,0, - 0,0,41,7,114,104,0,0,0,114,163,0,0,0,114,123, - 0,0,0,114,37,0,0,0,90,4,115,109,115,108,114,177, - 0,0,0,114,124,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,4,1,0,0,203,4,0,0, - 115,6,0,0,0,0,1,10,1,8,1,122,20,70,105,108, - 101,70,105,110,100,101,114,46,95,103,101,116,95,115,112,101, - 99,78,99,3,0,0,0,0,0,0,0,14,0,0,0,15, - 0,0,0,67,0,0,0,115,98,1,0,0,100,1,125,3, - 124,1,106,0,100,2,131,1,100,3,25,0,125,4,121,24, - 116,1,124,0,106,2,112,34,116,3,106,4,131,0,131,1, - 106,5,125,5,87,0,110,24,4,0,116,6,107,10,114,66, - 1,0,1,0,1,0,100,10,125,5,89,0,110,2,88,0, - 124,5,124,0,106,7,107,3,114,92,124,0,106,8,131,0, - 1,0,124,5,124,0,95,7,116,9,131,0,114,114,124,0, - 106,10,125,6,124,4,106,11,131,0,125,7,110,10,124,0, - 106,12,125,6,124,4,125,7,124,7,124,6,107,6,114,218, - 116,13,124,0,106,2,124,4,131,2,125,8,120,72,124,0, - 106,14,68,0,93,54,92,2,125,9,125,10,100,5,124,9, - 23,0,125,11,116,13,124,8,124,11,131,2,125,12,116,15, - 124,12,131,1,114,152,124,0,106,16,124,10,124,1,124,12, - 124,8,103,1,124,2,131,5,83,0,113,152,87,0,116,17, - 124,8,131,1,125,3,120,88,124,0,106,14,68,0,93,78, - 92,2,125,9,125,10,116,13,124,0,106,2,124,4,124,9, - 23,0,131,2,125,12,116,18,106,19,100,6,124,12,100,3, - 100,7,141,3,1,0,124,7,124,9,23,0,124,6,107,6, - 114,226,116,15,124,12,131,1,114,226,124,0,106,16,124,10, - 124,1,124,12,100,8,124,2,131,5,83,0,113,226,87,0, - 124,3,144,1,114,94,116,18,106,19,100,9,124,8,131,2, - 1,0,116,18,106,20,124,1,100,8,131,2,125,13,124,8, - 103,1,124,13,95,21,124,13,83,0,100,8,83,0,41,11, - 122,111,84,114,121,32,116,111,32,102,105,110,100,32,97,32, - 115,112,101,99,32,102,111,114,32,116,104,101,32,115,112,101, - 99,105,102,105,101,100,32,109,111,100,117,108,101,46,10,10, - 32,32,32,32,32,32,32,32,82,101,116,117,114,110,115,32, - 116,104,101,32,109,97,116,99,104,105,110,103,32,115,112,101, - 99,44,32,111,114,32,78,111,110,101,32,105,102,32,110,111, - 116,32,102,111,117,110,100,46,10,32,32,32,32,32,32,32, - 32,70,114,61,0,0,0,114,59,0,0,0,114,31,0,0, - 0,114,182,0,0,0,122,9,116,114,121,105,110,103,32,123, - 125,41,1,90,9,118,101,114,98,111,115,105,116,121,78,122, - 25,112,111,115,115,105,98,108,101,32,110,97,109,101,115,112, - 97,99,101,32,102,111,114,32,123,125,114,91,0,0,0,41, - 22,114,34,0,0,0,114,41,0,0,0,114,37,0,0,0, - 114,3,0,0,0,114,47,0,0,0,114,216,0,0,0,114, - 42,0,0,0,114,7,1,0,0,218,11,95,102,105,108,108, - 95,99,97,99,104,101,114,7,0,0,0,114,10,1,0,0, - 114,92,0,0,0,114,9,1,0,0,114,30,0,0,0,114, - 6,1,0,0,114,46,0,0,0,114,4,1,0,0,114,48, - 0,0,0,114,118,0,0,0,114,133,0,0,0,114,158,0, - 0,0,114,154,0,0,0,41,14,114,104,0,0,0,114,123, - 0,0,0,114,177,0,0,0,90,12,105,115,95,110,97,109, - 101,115,112,97,99,101,90,11,116,97,105,108,95,109,111,100, - 117,108,101,114,130,0,0,0,90,5,99,97,99,104,101,90, - 12,99,97,99,104,101,95,109,111,100,117,108,101,90,9,98, - 97,115,101,95,112,97,116,104,114,222,0,0,0,114,163,0, - 0,0,90,13,105,110,105,116,95,102,105,108,101,110,97,109, - 101,90,9,102,117,108,108,95,112,97,116,104,114,162,0,0, - 0,114,4,0,0,0,114,4,0,0,0,114,6,0,0,0, - 114,178,0,0,0,208,4,0,0,115,70,0,0,0,0,5, - 4,1,14,1,2,1,24,1,14,1,10,1,10,1,8,1, - 6,2,6,1,6,1,10,2,6,1,4,2,8,1,12,1, - 16,1,8,1,10,1,8,1,24,4,8,2,16,1,16,1, - 16,1,12,1,8,1,10,1,12,1,6,1,12,1,12,1, - 8,1,4,1,122,20,70,105,108,101,70,105,110,100,101,114, - 46,102,105,110,100,95,115,112,101,99,99,1,0,0,0,0, - 0,0,0,9,0,0,0,13,0,0,0,67,0,0,0,115, - 194,0,0,0,124,0,106,0,125,1,121,22,116,1,106,2, - 124,1,112,22,116,1,106,3,131,0,131,1,125,2,87,0, - 110,30,4,0,116,4,116,5,116,6,102,3,107,10,114,58, - 1,0,1,0,1,0,103,0,125,2,89,0,110,2,88,0, - 116,7,106,8,106,9,100,1,131,1,115,84,116,10,124,2, - 131,1,124,0,95,11,110,78,116,10,131,0,125,3,120,64, - 124,2,68,0,93,56,125,4,124,4,106,12,100,2,131,1, - 92,3,125,5,125,6,125,7,124,6,114,138,100,3,106,13, - 124,5,124,7,106,14,131,0,131,2,125,8,110,4,124,5, - 125,8,124,3,106,15,124,8,131,1,1,0,113,96,87,0, - 124,3,124,0,95,11,116,7,106,8,106,9,116,16,131,1, - 114,190,100,4,100,5,132,0,124,2,68,0,131,1,124,0, - 95,17,100,6,83,0,41,7,122,68,70,105,108,108,32,116, - 104,101,32,99,97,99,104,101,32,111,102,32,112,111,116,101, - 110,116,105,97,108,32,109,111,100,117,108,101,115,32,97,110, - 100,32,112,97,99,107,97,103,101,115,32,102,111,114,32,116, - 104,105,115,32,100,105,114,101,99,116,111,114,121,46,114,0, - 0,0,0,114,61,0,0,0,122,5,123,125,46,123,125,99, - 1,0,0,0,0,0,0,0,2,0,0,0,3,0,0,0, - 83,0,0,0,115,20,0,0,0,104,0,124,0,93,12,125, - 1,124,1,106,0,131,0,146,2,113,4,83,0,114,4,0, - 0,0,41,1,114,92,0,0,0,41,2,114,24,0,0,0, - 90,2,102,110,114,4,0,0,0,114,4,0,0,0,114,6, - 0,0,0,250,9,60,115,101,116,99,111,109,112,62,29,5, - 0,0,115,2,0,0,0,6,0,122,41,70,105,108,101,70, - 105,110,100,101,114,46,95,102,105,108,108,95,99,97,99,104, - 101,46,60,108,111,99,97,108,115,62,46,60,115,101,116,99, - 111,109,112,62,78,41,18,114,37,0,0,0,114,3,0,0, - 0,90,7,108,105,115,116,100,105,114,114,47,0,0,0,114, - 255,0,0,0,218,15,80,101,114,109,105,115,115,105,111,110, - 69,114,114,111,114,218,18,78,111,116,65,68,105,114,101,99, - 116,111,114,121,69,114,114,111,114,114,8,0,0,0,114,9, - 0,0,0,114,10,0,0,0,114,8,1,0,0,114,9,1, - 0,0,114,87,0,0,0,114,50,0,0,0,114,92,0,0, - 0,218,3,97,100,100,114,11,0,0,0,114,10,1,0,0, - 41,9,114,104,0,0,0,114,37,0,0,0,90,8,99,111, - 110,116,101,110,116,115,90,21,108,111,119,101,114,95,115,117, - 102,102,105,120,95,99,111,110,116,101,110,116,115,114,244,0, - 0,0,114,102,0,0,0,114,234,0,0,0,114,222,0,0, - 0,90,8,110,101,119,95,110,97,109,101,114,4,0,0,0, - 114,4,0,0,0,114,6,0,0,0,114,12,1,0,0,0, - 5,0,0,115,34,0,0,0,0,2,6,1,2,1,22,1, - 20,3,10,3,12,1,12,7,6,1,10,1,16,1,4,1, - 18,2,4,1,14,1,6,1,12,1,122,22,70,105,108,101, - 70,105,110,100,101,114,46,95,102,105,108,108,95,99,97,99, - 104,101,99,1,0,0,0,0,0,0,0,3,0,0,0,3, - 0,0,0,7,0,0,0,115,18,0,0,0,135,0,135,1, - 102,2,100,1,100,2,132,8,125,2,124,2,83,0,41,3, - 97,20,1,0,0,65,32,99,108,97,115,115,32,109,101,116, - 104,111,100,32,119,104,105,99,104,32,114,101,116,117,114,110, - 115,32,97,32,99,108,111,115,117,114,101,32,116,111,32,117, - 115,101,32,111,110,32,115,121,115,46,112,97,116,104,95,104, - 111,111,107,10,32,32,32,32,32,32,32,32,119,104,105,99, - 104,32,119,105,108,108,32,114,101,116,117,114,110,32,97,110, - 32,105,110,115,116,97,110,99,101,32,117,115,105,110,103,32, - 116,104,101,32,115,112,101,99,105,102,105,101,100,32,108,111, - 97,100,101,114,115,32,97,110,100,32,116,104,101,32,112,97, - 116,104,10,32,32,32,32,32,32,32,32,99,97,108,108,101, - 100,32,111,110,32,116,104,101,32,99,108,111,115,117,114,101, - 46,10,10,32,32,32,32,32,32,32,32,73,102,32,116,104, - 101,32,112,97,116,104,32,99,97,108,108,101,100,32,111,110, - 32,116,104,101,32,99,108,111,115,117,114,101,32,105,115,32, - 110,111,116,32,97,32,100,105,114,101,99,116,111,114,121,44, - 32,73,109,112,111,114,116,69,114,114,111,114,32,105,115,10, - 32,32,32,32,32,32,32,32,114,97,105,115,101,100,46,10, - 10,32,32,32,32,32,32,32,32,99,1,0,0,0,0,0, - 0,0,1,0,0,0,4,0,0,0,19,0,0,0,115,34, - 0,0,0,116,0,124,0,131,1,115,20,116,1,100,1,124, - 0,100,2,141,2,130,1,136,0,124,0,102,1,136,1,158, - 2,142,0,83,0,41,3,122,45,80,97,116,104,32,104,111, - 111,107,32,102,111,114,32,105,109,112,111,114,116,108,105,98, - 46,109,97,99,104,105,110,101,114,121,46,70,105,108,101,70, - 105,110,100,101,114,46,122,30,111,110,108,121,32,100,105,114, - 101,99,116,111,114,105,101,115,32,97,114,101,32,115,117,112, - 112,111,114,116,101,100,41,1,114,37,0,0,0,41,2,114, - 48,0,0,0,114,103,0,0,0,41,1,114,37,0,0,0, - 41,2,114,168,0,0,0,114,11,1,0,0,114,4,0,0, - 0,114,6,0,0,0,218,24,112,97,116,104,95,104,111,111, - 107,95,102,111,114,95,70,105,108,101,70,105,110,100,101,114, - 41,5,0,0,115,6,0,0,0,0,2,8,1,12,1,122, - 54,70,105,108,101,70,105,110,100,101,114,46,112,97,116,104, - 95,104,111,111,107,46,60,108,111,99,97,108,115,62,46,112, - 97,116,104,95,104,111,111,107,95,102,111,114,95,70,105,108, - 101,70,105,110,100,101,114,114,4,0,0,0,41,3,114,168, - 0,0,0,114,11,1,0,0,114,17,1,0,0,114,4,0, - 0,0,41,2,114,168,0,0,0,114,11,1,0,0,114,6, - 0,0,0,218,9,112,97,116,104,95,104,111,111,107,31,5, - 0,0,115,4,0,0,0,0,10,14,6,122,20,70,105,108, - 101,70,105,110,100,101,114,46,112,97,116,104,95,104,111,111, - 107,99,1,0,0,0,0,0,0,0,1,0,0,0,2,0, - 0,0,67,0,0,0,115,12,0,0,0,100,1,106,0,124, - 0,106,1,131,1,83,0,41,2,78,122,16,70,105,108,101, - 70,105,110,100,101,114,40,123,33,114,125,41,41,2,114,50, - 0,0,0,114,37,0,0,0,41,1,114,104,0,0,0,114, - 4,0,0,0,114,4,0,0,0,114,6,0,0,0,114,243, - 0,0,0,49,5,0,0,115,2,0,0,0,0,1,122,19, - 70,105,108,101,70,105,110,100,101,114,46,95,95,114,101,112, - 114,95,95,41,1,78,41,15,114,109,0,0,0,114,108,0, - 0,0,114,110,0,0,0,114,111,0,0,0,114,182,0,0, - 0,114,249,0,0,0,114,127,0,0,0,114,179,0,0,0, - 114,121,0,0,0,114,4,1,0,0,114,178,0,0,0,114, - 12,1,0,0,114,180,0,0,0,114,18,1,0,0,114,243, - 0,0,0,114,4,0,0,0,114,4,0,0,0,114,4,0, - 0,0,114,6,0,0,0,114,5,1,0,0,162,4,0,0, - 115,20,0,0,0,8,7,4,2,8,14,8,4,4,2,8, - 12,8,5,10,48,8,31,12,18,114,5,1,0,0,99,4, - 0,0,0,0,0,0,0,6,0,0,0,11,0,0,0,67, - 0,0,0,115,146,0,0,0,124,0,106,0,100,1,131,1, - 125,4,124,0,106,0,100,2,131,1,125,5,124,4,115,66, - 124,5,114,36,124,5,106,1,125,4,110,30,124,2,124,3, - 107,2,114,56,116,2,124,1,124,2,131,2,125,4,110,10, - 116,3,124,1,124,2,131,2,125,4,124,5,115,84,116,4, - 124,1,124,2,124,4,100,3,141,3,125,5,121,36,124,5, - 124,0,100,2,60,0,124,4,124,0,100,1,60,0,124,2, - 124,0,100,4,60,0,124,3,124,0,100,5,60,0,87,0, - 110,20,4,0,116,5,107,10,114,140,1,0,1,0,1,0, - 89,0,110,2,88,0,100,0,83,0,41,6,78,218,10,95, - 95,108,111,97,100,101,114,95,95,218,8,95,95,115,112,101, - 99,95,95,41,1,114,124,0,0,0,90,8,95,95,102,105, - 108,101,95,95,90,10,95,95,99,97,99,104,101,100,95,95, - 41,6,218,3,103,101,116,114,124,0,0,0,114,220,0,0, - 0,114,215,0,0,0,114,165,0,0,0,218,9,69,120,99, - 101,112,116,105,111,110,41,6,90,2,110,115,114,102,0,0, - 0,90,8,112,97,116,104,110,97,109,101,90,9,99,112,97, - 116,104,110,97,109,101,114,124,0,0,0,114,162,0,0,0, - 114,4,0,0,0,114,4,0,0,0,114,6,0,0,0,218, - 14,95,102,105,120,95,117,112,95,109,111,100,117,108,101,55, - 5,0,0,115,34,0,0,0,0,2,10,1,10,1,4,1, - 4,1,8,1,8,1,12,2,10,1,4,1,14,1,2,1, - 8,1,8,1,8,1,12,1,14,2,114,23,1,0,0,99, - 0,0,0,0,0,0,0,0,3,0,0,0,3,0,0,0, - 67,0,0,0,115,38,0,0,0,116,0,116,1,106,2,131, - 0,102,2,125,0,116,3,116,4,102,2,125,1,116,5,116, - 6,102,2,125,2,124,0,124,1,124,2,103,3,83,0,41, - 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, - 32,32,41,7,114,221,0,0,0,114,143,0,0,0,218,18, - 101,120,116,101,110,115,105,111,110,95,115,117,102,102,105,120, - 101,115,114,215,0,0,0,114,88,0,0,0,114,220,0,0, - 0,114,78,0,0,0,41,3,90,10,101,120,116,101,110,115, - 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, - 114,6,0,0,0,114,159,0,0,0,78,5,0,0,115,8, - 0,0,0,0,5,12,1,8,1,8,1,114,159,0,0,0, - 99,1,0,0,0,0,0,0,0,12,0,0,0,12,0,0, - 0,67,0,0,0,115,188,1,0,0,124,0,97,0,116,0, - 106,1,97,1,116,0,106,2,97,2,116,1,106,3,116,4, - 25,0,125,1,120,56,100,26,68,0,93,48,125,2,124,2, - 116,1,106,3,107,7,114,58,116,0,106,5,124,2,131,1, - 125,3,110,10,116,1,106,3,124,2,25,0,125,3,116,6, - 124,1,124,2,124,3,131,3,1,0,113,32,87,0,100,5, - 100,6,103,1,102,2,100,7,100,8,100,6,103,2,102,2, - 102,2,125,4,120,118,124,4,68,0,93,102,92,2,125,5, - 125,6,116,7,100,9,100,10,132,0,124,6,68,0,131,1, - 131,1,115,142,116,8,130,1,124,6,100,11,25,0,125,7, - 124,5,116,1,106,3,107,6,114,174,116,1,106,3,124,5, - 25,0,125,8,80,0,113,112,121,16,116,0,106,5,124,5, - 131,1,125,8,80,0,87,0,113,112,4,0,116,9,107,10, - 114,212,1,0,1,0,1,0,119,112,89,0,113,112,88,0, - 113,112,87,0,116,9,100,12,131,1,130,1,116,6,124,1, - 100,13,124,8,131,3,1,0,116,6,124,1,100,14,124,7, - 131,3,1,0,116,6,124,1,100,15,100,16,106,10,124,6, - 131,1,131,3,1,0,121,14,116,0,106,5,100,17,131,1, - 125,9,87,0,110,26,4,0,116,9,107,10,144,1,114,52, - 1,0,1,0,1,0,100,18,125,9,89,0,110,2,88,0, - 116,6,124,1,100,17,124,9,131,3,1,0,116,0,106,5, - 100,19,131,1,125,10,116,6,124,1,100,19,124,10,131,3, - 1,0,124,5,100,7,107,2,144,1,114,120,116,0,106,5, - 100,20,131,1,125,11,116,6,124,1,100,21,124,11,131,3, - 1,0,116,6,124,1,100,22,116,11,131,0,131,3,1,0, - 116,12,106,13,116,2,106,14,131,0,131,1,1,0,124,5, - 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101,115,32,112,111,115,105,120,32,111,114,32,110,116,114,3, + 0,0,0,114,27,0,0,0,114,23,0,0,0,114,32,0, + 0,0,90,7,95,116,104,114,101,97,100,78,90,8,95,119, + 101,97,107,114,101,102,90,6,119,105,110,114,101,103,114,167, + 0,0,0,114,7,0,0,0,122,4,46,112,121,119,122,6, + 95,100,46,112,121,100,84,41,4,114,52,0,0,0,114,63, + 0,0,0,114,25,1,0,0,114,140,0,0,0,41,19,114, + 118,0,0,0,114,8,0,0,0,114,143,0,0,0,114,236, + 0,0,0,114,109,0,0,0,90,18,95,98,117,105,108,116, + 105,110,95,102,114,111,109,95,110,97,109,101,114,113,0,0, + 0,218,3,97,108,108,218,14,65,115,115,101,114,116,105,111, + 110,69,114,114,111,114,114,103,0,0,0,114,28,0,0,0, + 114,13,0,0,0,114,226,0,0,0,114,147,0,0,0,114, + 24,1,0,0,114,88,0,0,0,114,161,0,0,0,114,166, + 0,0,0,114,170,0,0,0,41,12,218,17,95,98,111,111, + 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, + 114,23,0,0,0,114,27,0,0,0,90,9,111,115,95,109, + 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, + 117,108,101,114,4,0,0,0,114,4,0,0,0,114,6,0, + 0,0,218,6,95,115,101,116,117,112,90,5,0,0,115,82, + 0,0,0,0,8,4,1,6,1,6,3,10,1,10,1,10, + 1,12,2,10,1,16,3,22,1,14,2,22,1,8,1,10, + 1,10,1,4,2,2,1,10,1,6,1,14,1,12,2,8, + 1,12,1,12,1,18,3,2,1,14,1,16,2,10,1,12, + 3,10,1,12,3,10,1,10,1,12,3,14,1,14,1,10, + 1,10,1,10,1,114,32,1,0,0,99,1,0,0,0,0, + 0,0,0,2,0,0,0,3,0,0,0,67,0,0,0,115, + 72,0,0,0,116,0,124,0,131,1,1,0,116,1,131,0, + 125,1,116,2,106,3,106,4,116,5,106,6,124,1,142,0, + 103,1,131,1,1,0,116,7,106,8,100,1,107,2,114,56, + 116,2,106,9,106,10,116,11,131,1,1,0,116,2,106,9, + 106,10,116,12,131,1,1,0,100,2,83,0,41,3,122,41, + 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, + 109,112,111,110,101,110,116,115,46,114,27,1,0,0,78,41, + 13,114,32,1,0,0,114,159,0,0,0,114,8,0,0,0, + 114,253,0,0,0,114,147,0,0,0,114,5,1,0,0,114, + 18,1,0,0,114,3,0,0,0,114,109,0,0,0,218,9, + 109,101,116,97,95,112,97,116,104,114,161,0,0,0,114,166, + 0,0,0,114,248,0,0,0,41,2,114,31,1,0,0,90, + 17,115,117,112,112,111,114,116,101,100,95,108,111,97,100,101, + 114,115,114,4,0,0,0,114,4,0,0,0,114,6,0,0, + 0,218,8,95,105,110,115,116,97,108,108,158,5,0,0,115, + 12,0,0,0,0,2,8,1,6,1,20,1,10,1,12,1, + 114,34,1,0,0,41,1,114,0,0,0,0,41,2,114,1, + 0,0,0,114,2,0,0,0,41,1,114,49,0,0,0,41, + 1,78,41,3,78,78,78,41,3,78,78,78,41,2,114,62, + 0,0,0,114,62,0,0,0,41,1,78,41,1,78,41,58, + 114,111,0,0,0,114,12,0,0,0,90,37,95,67,65,83, + 69,95,73,78,83,69,78,83,73,84,73,86,69,95,80,76, + 65,84,70,79,82,77,83,95,66,89,84,69,83,95,75,69, + 89,114,11,0,0,0,114,13,0,0,0,114,19,0,0,0, + 114,21,0,0,0,114,30,0,0,0,114,40,0,0,0,114, + 41,0,0,0,114,45,0,0,0,114,46,0,0,0,114,48, + 0,0,0,114,58,0,0,0,218,4,116,121,112,101,218,8, + 95,95,99,111,100,101,95,95,114,142,0,0,0,114,17,0, + 0,0,114,132,0,0,0,114,16,0,0,0,114,20,0,0, + 0,90,17,95,82,65,87,95,77,65,71,73,67,95,78,85, + 77,66,69,82,114,77,0,0,0,114,76,0,0,0,114,88, + 0,0,0,114,78,0,0,0,90,23,68,69,66,85,71,95, + 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, + 69,67,79,68,69,95,83,85,70,70,73,88,69,83,114,83, + 0,0,0,114,89,0,0,0,114,95,0,0,0,114,99,0, + 0,0,114,101,0,0,0,114,120,0,0,0,114,127,0,0, + 0,114,139,0,0,0,114,145,0,0,0,114,148,0,0,0, + 114,153,0,0,0,218,6,111,98,106,101,99,116,114,160,0, + 0,0,114,165,0,0,0,114,166,0,0,0,114,181,0,0, + 0,114,191,0,0,0,114,207,0,0,0,114,215,0,0,0, + 114,220,0,0,0,114,226,0,0,0,114,221,0,0,0,114, + 227,0,0,0,114,246,0,0,0,114,248,0,0,0,114,5, + 1,0,0,114,23,1,0,0,114,159,0,0,0,114,32,1, + 0,0,114,34,1,0,0,114,4,0,0,0,114,4,0,0, + 0,114,4,0,0,0,114,6,0,0,0,218,8,60,109,111, + 100,117,108,101,62,8,0,0,0,115,108,0,0,0,4,16, + 4,1,4,1,2,1,6,3,8,17,8,5,8,5,8,6, + 8,12,8,10,8,9,8,5,8,7,10,22,10,123,16,1, + 12,2,4,1,4,2,6,2,6,2,8,2,16,45,8,34, + 8,19,8,12,8,12,8,28,8,17,10,55,10,12,10,10, + 8,14,6,3,4,1,14,67,14,64,14,29,16,110,14,41, + 18,45,18,16,4,3,18,53,14,60,14,42,14,127,0,5, + 14,127,0,22,10,23,8,11,8,68, }; -- cgit v1.2.1 From 3759dfc49056abec76793c75729aa85eea4f32cd Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Sun, 11 Dec 2016 19:37:19 +0200 Subject: Issue #28739: f-string expressions no longer accepted as docstrings and by ast.literal_eval() even if they do not include subexpressions. --- Python/ast.c | 11 +++++------ Python/compile.c | 3 ++- 2 files changed, 7 insertions(+), 7 deletions(-) (limited to 'Python') diff --git a/Python/ast.c b/Python/ast.c index 82f4529bf9..217ea14bf3 100644 --- a/Python/ast.c +++ b/Python/ast.c @@ -4789,6 +4789,7 @@ ExprList_Finish(ExprList *l, PyArena *arena) typedef struct { PyObject *last_str; ExprList expr_list; + int fmode; } FstringParser; #ifdef NDEBUG @@ -4807,6 +4808,7 @@ static void FstringParser_Init(FstringParser *state) { state->last_str = NULL; + state->fmode = 0; ExprList_Init(&state->expr_list); FstringParser_check_invariants(state); } @@ -4869,6 +4871,7 @@ FstringParser_ConcatFstring(FstringParser *state, const char **str, struct compiling *c, const node *n) { FstringParser_check_invariants(state); + state->fmode = 1; /* Parse the f-string. */ while (1) { @@ -4960,7 +4963,8 @@ FstringParser_Finish(FstringParser *state, struct compiling *c, /* If we're just a constant string with no expressions, return that. */ - if(state->expr_list.size == 0) { + if (!state->fmode) { + assert(!state->expr_list.size); if (!state->last_str) { /* Create a zero length string. */ state->last_str = PyUnicode_FromStringAndSize(NULL, 0); @@ -4984,11 +4988,6 @@ FstringParser_Finish(FstringParser *state, struct compiling *c, if (!seq) goto error; - /* If there's only one expression, return it. Otherwise, we need - to join them together. */ - if (seq->size == 1) - return seq->elements[0]; - return JoinedStr(seq, LINENO(n), n->n_col_offset, c->c_arena); error: diff --git a/Python/compile.c b/Python/compile.c index 35151cdd59..0e16075852 100644 --- a/Python/compile.c +++ b/Python/compile.c @@ -3415,7 +3415,8 @@ static int compiler_joined_str(struct compiler *c, expr_ty e) { VISIT_SEQ(c, expr, e->v.JoinedStr.values); - ADDOP_I(c, BUILD_STRING, asdl_seq_LEN(e->v.JoinedStr.values)); + if (asdl_seq_LEN(e->v.JoinedStr.values) != 1) + ADDOP_I(c, BUILD_STRING, asdl_seq_LEN(e->v.JoinedStr.values)); return 1; } -- cgit v1.2.1 From 40232e96fe1a1d5a925e8f2c850fdcd4cf09c8d3 Mon Sep 17 00:00:00 2001 From: Steve Dower Date: Mon, 12 Dec 2016 11:17:59 -0800 Subject: Issue #28896: Disable WindowsRegistryFinder by default. --- Python/importlib_external.h | 109 +++++++++++++++++++++----------------------- 1 file changed, 53 insertions(+), 56 deletions(-) (limited to 'Python') diff --git a/Python/importlib_external.h b/Python/importlib_external.h index 1b767c5a9b..2f40978fb7 100644 --- a/Python/importlib_external.h +++ b/Python/importlib_external.h @@ -2334,7 +2334,7 @@ const unsigned char _Py_M__importlib_external[] = { 111,111,116,115,116,114,97,112,32,109,111,100,117,108,101,46, 10,10,32,32,32,32,114,52,0,0,0,114,63,0,0,0, 218,8,98,117,105,108,116,105,110,115,114,140,0,0,0,90, - 5,112,111,115,105,120,250,1,47,218,2,110,116,250,1,92, + 5,112,111,115,105,120,250,1,47,90,2,110,116,250,1,92, 99,1,0,0,0,0,0,0,0,2,0,0,0,3,0,0, 0,115,0,0,0,115,26,0,0,0,124,0,93,18,125,1, 116,0,124,1,131,1,100,0,107,2,86,0,1,0,113,2, @@ -2376,61 +2376,58 @@ const unsigned char _Py_M__importlib_external[] = { 1,10,1,4,2,2,1,10,1,6,1,14,1,12,2,8, 1,12,1,12,1,18,3,2,1,14,1,16,2,10,1,12, 3,10,1,12,3,10,1,10,1,12,3,14,1,14,1,10, - 1,10,1,10,1,114,32,1,0,0,99,1,0,0,0,0, + 1,10,1,10,1,114,31,1,0,0,99,1,0,0,0,0, 0,0,0,2,0,0,0,3,0,0,0,67,0,0,0,115, - 72,0,0,0,116,0,124,0,131,1,1,0,116,1,131,0, + 50,0,0,0,116,0,124,0,131,1,1,0,116,1,131,0, 125,1,116,2,106,3,106,4,116,5,106,6,124,1,142,0, - 103,1,131,1,1,0,116,7,106,8,100,1,107,2,114,56, - 116,2,106,9,106,10,116,11,131,1,1,0,116,2,106,9, - 106,10,116,12,131,1,1,0,100,2,83,0,41,3,122,41, - 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, - 109,112,111,110,101,110,116,115,46,114,27,1,0,0,78,41, - 13,114,32,1,0,0,114,159,0,0,0,114,8,0,0,0, - 114,253,0,0,0,114,147,0,0,0,114,5,1,0,0,114, - 18,1,0,0,114,3,0,0,0,114,109,0,0,0,218,9, - 109,101,116,97,95,112,97,116,104,114,161,0,0,0,114,166, - 0,0,0,114,248,0,0,0,41,2,114,31,1,0,0,90, - 17,115,117,112,112,111,114,116,101,100,95,108,111,97,100,101, - 114,115,114,4,0,0,0,114,4,0,0,0,114,6,0,0, - 0,218,8,95,105,110,115,116,97,108,108,158,5,0,0,115, - 12,0,0,0,0,2,8,1,6,1,20,1,10,1,12,1, - 114,34,1,0,0,41,1,114,0,0,0,0,41,2,114,1, - 0,0,0,114,2,0,0,0,41,1,114,49,0,0,0,41, - 1,78,41,3,78,78,78,41,3,78,78,78,41,2,114,62, - 0,0,0,114,62,0,0,0,41,1,78,41,1,78,41,58, - 114,111,0,0,0,114,12,0,0,0,90,37,95,67,65,83, - 69,95,73,78,83,69,78,83,73,84,73,86,69,95,80,76, - 65,84,70,79,82,77,83,95,66,89,84,69,83,95,75,69, - 89,114,11,0,0,0,114,13,0,0,0,114,19,0,0,0, - 114,21,0,0,0,114,30,0,0,0,114,40,0,0,0,114, - 41,0,0,0,114,45,0,0,0,114,46,0,0,0,114,48, - 0,0,0,114,58,0,0,0,218,4,116,121,112,101,218,8, - 95,95,99,111,100,101,95,95,114,142,0,0,0,114,17,0, - 0,0,114,132,0,0,0,114,16,0,0,0,114,20,0,0, - 0,90,17,95,82,65,87,95,77,65,71,73,67,95,78,85, - 77,66,69,82,114,77,0,0,0,114,76,0,0,0,114,88, - 0,0,0,114,78,0,0,0,90,23,68,69,66,85,71,95, - 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, - 69,67,79,68,69,95,83,85,70,70,73,88,69,83,114,83, - 0,0,0,114,89,0,0,0,114,95,0,0,0,114,99,0, - 0,0,114,101,0,0,0,114,120,0,0,0,114,127,0,0, - 0,114,139,0,0,0,114,145,0,0,0,114,148,0,0,0, - 114,153,0,0,0,218,6,111,98,106,101,99,116,114,160,0, - 0,0,114,165,0,0,0,114,166,0,0,0,114,181,0,0, - 0,114,191,0,0,0,114,207,0,0,0,114,215,0,0,0, - 114,220,0,0,0,114,226,0,0,0,114,221,0,0,0,114, - 227,0,0,0,114,246,0,0,0,114,248,0,0,0,114,5, - 1,0,0,114,23,1,0,0,114,159,0,0,0,114,32,1, - 0,0,114,34,1,0,0,114,4,0,0,0,114,4,0,0, - 0,114,4,0,0,0,114,6,0,0,0,218,8,60,109,111, - 100,117,108,101,62,8,0,0,0,115,108,0,0,0,4,16, - 4,1,4,1,2,1,6,3,8,17,8,5,8,5,8,6, - 8,12,8,10,8,9,8,5,8,7,10,22,10,123,16,1, - 12,2,4,1,4,2,6,2,6,2,8,2,16,45,8,34, - 8,19,8,12,8,12,8,28,8,17,10,55,10,12,10,10, - 8,14,6,3,4,1,14,67,14,64,14,29,16,110,14,41, - 18,45,18,16,4,3,18,53,14,60,14,42,14,127,0,5, - 14,127,0,22,10,23,8,11,8,68, + 103,1,131,1,1,0,116,2,106,7,106,8,116,9,131,1, + 1,0,100,1,83,0,41,2,122,41,73,110,115,116,97,108, + 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, + 116,115,46,78,41,10,114,31,1,0,0,114,159,0,0,0, + 114,8,0,0,0,114,253,0,0,0,114,147,0,0,0,114, + 5,1,0,0,114,18,1,0,0,218,9,109,101,116,97,95, + 112,97,116,104,114,161,0,0,0,114,248,0,0,0,41,2, + 114,30,1,0,0,90,17,115,117,112,112,111,114,116,101,100, + 95,108,111,97,100,101,114,115,114,4,0,0,0,114,4,0, + 0,0,114,6,0,0,0,218,8,95,105,110,115,116,97,108, + 108,158,5,0,0,115,8,0,0,0,0,2,8,1,6,1, + 20,1,114,33,1,0,0,41,1,114,0,0,0,0,41,2, + 114,1,0,0,0,114,2,0,0,0,41,1,114,49,0,0, + 0,41,1,78,41,3,78,78,78,41,3,78,78,78,41,2, + 114,62,0,0,0,114,62,0,0,0,41,1,78,41,1,78, + 41,58,114,111,0,0,0,114,12,0,0,0,90,37,95,67, + 65,83,69,95,73,78,83,69,78,83,73,84,73,86,69,95, + 80,76,65,84,70,79,82,77,83,95,66,89,84,69,83,95, + 75,69,89,114,11,0,0,0,114,13,0,0,0,114,19,0, + 0,0,114,21,0,0,0,114,30,0,0,0,114,40,0,0, + 0,114,41,0,0,0,114,45,0,0,0,114,46,0,0,0, + 114,48,0,0,0,114,58,0,0,0,218,4,116,121,112,101, + 218,8,95,95,99,111,100,101,95,95,114,142,0,0,0,114, + 17,0,0,0,114,132,0,0,0,114,16,0,0,0,114,20, + 0,0,0,90,17,95,82,65,87,95,77,65,71,73,67,95, + 78,85,77,66,69,82,114,77,0,0,0,114,76,0,0,0, + 114,88,0,0,0,114,78,0,0,0,90,23,68,69,66,85, + 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, + 114,83,0,0,0,114,89,0,0,0,114,95,0,0,0,114, + 99,0,0,0,114,101,0,0,0,114,120,0,0,0,114,127, + 0,0,0,114,139,0,0,0,114,145,0,0,0,114,148,0, + 0,0,114,153,0,0,0,218,6,111,98,106,101,99,116,114, + 160,0,0,0,114,165,0,0,0,114,166,0,0,0,114,181, + 0,0,0,114,191,0,0,0,114,207,0,0,0,114,215,0, + 0,0,114,220,0,0,0,114,226,0,0,0,114,221,0,0, + 0,114,227,0,0,0,114,246,0,0,0,114,248,0,0,0, + 114,5,1,0,0,114,23,1,0,0,114,159,0,0,0,114, + 31,1,0,0,114,33,1,0,0,114,4,0,0,0,114,4, + 0,0,0,114,4,0,0,0,114,6,0,0,0,218,8,60, + 109,111,100,117,108,101,62,8,0,0,0,115,108,0,0,0, + 4,16,4,1,4,1,2,1,6,3,8,17,8,5,8,5, + 8,6,8,12,8,10,8,9,8,5,8,7,10,22,10,123, + 16,1,12,2,4,1,4,2,6,2,6,2,8,2,16,45, + 8,34,8,19,8,12,8,12,8,28,8,17,10,55,10,12, + 10,10,8,14,6,3,4,1,14,67,14,64,14,29,16,110, + 14,41,18,45,18,16,4,3,18,53,14,60,14,42,14,127, + 0,5,14,127,0,22,10,23,8,11,8,68, }; -- cgit v1.2.1 From 7ce4d17c0d9aa59119a8a9b730be0cfd2c593ef7 Mon Sep 17 00:00:00 2001 From: Xavier de Gaye Date: Thu, 15 Dec 2016 20:59:58 +0100 Subject: Issue #26919: On Android, operating system data is now always encoded/decoded to/from UTF-8, instead of the locale encoding to avoid inconsistencies with os.fsencode() and os.fsdecode() which are already using UTF-8. --- Python/fileutils.c | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) (limited to 'Python') diff --git a/Python/fileutils.c b/Python/fileutils.c index 6a32c42c80..e84d66e99a 100644 --- a/Python/fileutils.c +++ b/Python/fileutils.c @@ -20,7 +20,7 @@ extern int winerror_to_errno(int); #include #endif /* HAVE_FCNTL_H */ -#ifdef __APPLE__ +#if defined(__APPLE__) || defined(__ANDROID__) extern wchar_t* _Py_DecodeUTF8_surrogateescape(const char *s, Py_ssize_t size); #endif @@ -273,7 +273,7 @@ decode_ascii_surrogateescape(const char *arg, size_t *size) wchar_t* Py_DecodeLocale(const char* arg, size_t *size) { -#ifdef __APPLE__ +#if defined(__APPLE__) || defined(__ANDROID__) wchar_t *wstr; wstr = _Py_DecodeUTF8_surrogateescape(arg, strlen(arg)); if (size != NULL) { @@ -406,7 +406,7 @@ oom: if (size != NULL) *size = (size_t)-1; return NULL; -#endif /* __APPLE__ */ +#endif /* __APPLE__ or __ANDROID__ */ } /* Encode a wide character string to the locale encoding with the @@ -424,7 +424,7 @@ oom: char* Py_EncodeLocale(const wchar_t *text, size_t *error_pos) { -#ifdef __APPLE__ +#if defined(__APPLE__) || defined(__ANDROID__) Py_ssize_t len; PyObject *unicode, *bytes = NULL; char *cpath; @@ -522,7 +522,7 @@ Py_EncodeLocale(const wchar_t *text, size_t *error_pos) bytes = result; } return result; -#endif /* __APPLE__ */ +#endif /* __APPLE__ or __ANDROID__ */ } -- cgit v1.2.1 From f9d2ba6b16dab9d8057cd682ae8d7d044a750756 Mon Sep 17 00:00:00 2001 From: Victor Stinner Date: Sat, 7 Jan 2017 00:07:45 +0100 Subject: Issue #29157: Prefer getrandom() over getentropy() * dev_urandom() now calls py_getentropy(). Prepare the fallback to support getentropy() failure and falls back on reading from /dev/urandom. * Simplify dev_urandom(). pyurandom() is now responsible to call getentropy() or getrandom(). Enhance also dev_urandom() and pyurandom() documentation. * getrandom() is now preferred over getentropy(). The glibc 2.24 now implements getentropy() on Linux using the getrandom() syscall. But getentropy() doesn't support non-blocking mode. Since getrandom() is tried first, it's not more needed to explicitly exclude getentropy() on Solaris. Replace: "if defined(HAVE_GETENTROPY) && !defined(sun)" with "if defined(HAVE_GETENTROPY)" * Enhance py_getrandom() documentation. py_getentropy() now supports ENOSYS, EPERM & EINTR --- Python/random.c | 274 ++++++++++++++++++++++++++++++++++++++------------------ 1 file changed, 187 insertions(+), 87 deletions(-) (limited to 'Python') diff --git a/Python/random.c b/Python/random.c index 0f945a3d01..c97d5e7100 100644 --- a/Python/random.c +++ b/Python/random.c @@ -77,57 +77,23 @@ win32_urandom(unsigned char *buffer, Py_ssize_t size, int raise) return 0; } -/* Issue #25003: Don't use getentropy() on Solaris (available since - * Solaris 11.3), it is blocking whereas os.urandom() should not block. */ -#elif defined(HAVE_GETENTROPY) && !defined(sun) -#define PY_GETENTROPY 1 - -/* Fill buffer with size pseudo-random bytes generated by getentropy(). - Return 0 on success, or raise an exception and return -1 on error. - - If raise is zero, don't raise an exception on error. */ -static int -py_getentropy(char *buffer, Py_ssize_t size, int raise) -{ - while (size > 0) { - Py_ssize_t len = Py_MIN(size, 256); - int res; - - if (raise) { - Py_BEGIN_ALLOW_THREADS - res = getentropy(buffer, len); - Py_END_ALLOW_THREADS - } - else { - res = getentropy(buffer, len); - } - - if (res < 0) { - if (raise) { - PyErr_SetFromErrno(PyExc_OSError); - } - return -1; - } - - buffer += len; - size -= len; - } - return 0; -} - -#else +#else /* !MS_WINDOWS */ #if defined(HAVE_GETRANDOM) || defined(HAVE_GETRANDOM_SYSCALL) #define PY_GETRANDOM 1 -/* Call getrandom() +/* Call getrandom() to get random bytes: + - Return 1 on success - - Return 0 if getrandom() syscall is not available (failed with ENOSYS or - EPERM) or if getrandom(GRND_NONBLOCK) failed with EAGAIN (system urandom - not initialized yet) and raise=0. + - Return 0 if getrandom() is not available (failed with ENOSYS or EPERM), + or if getrandom(GRND_NONBLOCK) failed with EAGAIN (system urandom not + initialized yet) and raise=0. - Raise an exception (if raise is non-zero) and return -1 on error: - getrandom() failed with EINTR and the Python signal handler raised an - exception, or getrandom() failed with a different error. */ + if getrandom() failed with EINTR, raise is non-zero and the Python signal + handler raised an exception, or if getrandom() failed with a different + error. + + getrandom() is retried if it failed with EINTR: interrupted by a signal. */ static int py_getrandom(void *buffer, Py_ssize_t size, int blocking, int raise) { @@ -148,7 +114,8 @@ py_getrandom(void *buffer, Py_ssize_t size, int blocking, int raise) while (0 < size) { #ifdef sun /* Issue #26735: On Solaris, getrandom() is limited to returning up - to 1024 bytes */ + to 1024 bytes. Call it multiple times if more bytes are + requested. */ n = Py_MIN(size, 1024); #else n = Py_MIN(size, LONG_MAX); @@ -179,18 +146,19 @@ py_getrandom(void *buffer, Py_ssize_t size, int blocking, int raise) #endif if (n < 0) { - /* ENOSYS: getrandom() syscall not supported by the kernel (but - * maybe supported by the host which built Python). EPERM: - * getrandom() syscall blocked by SECCOMP or something else. */ + /* ENOSYS: the syscall is not supported by the kernel. + EPERM: the syscall is blocked by a security policy (ex: SECCOMP) + or something else. */ if (errno == ENOSYS || errno == EPERM) { getrandom_works = 0; return 0; } /* getrandom(GRND_NONBLOCK) fails with EAGAIN if the system urandom - is not initialiazed yet. For _PyRandom_Init(), we ignore their + is not initialiazed yet. For _PyRandom_Init(), we ignore the error and fall back on reading /dev/urandom which never blocks, - even if the system urandom is not initialized yet. */ + even if the system urandom is not initialized yet: + see the PEP 524. */ if (errno == EAGAIN && !raise && !blocking) { return 0; } @@ -217,7 +185,80 @@ py_getrandom(void *buffer, Py_ssize_t size, int blocking, int raise) } return 1; } -#endif + +#elif defined(HAVE_GETENTROPY) +#define PY_GETENTROPY 1 + +/* Fill buffer with size pseudo-random bytes generated by getentropy(): + + - Return 1 on success + - Return 0 if getentropy() syscall is not available (failed with ENOSYS or + EPERM). + - Raise an exception (if raise is non-zero) and return -1 on error: + if getentropy() failed with EINTR, raise is non-zero and the Python signal + handler raised an exception, or if getentropy() failed with a different + error. + + getentropy() is retried if it failed with EINTR: interrupted by a signal. */ +static int +py_getentropy(char *buffer, Py_ssize_t size, int raise) +{ + /* Is getentropy() supported by the running kernel? Set to 0 if + getentropy() failed with ENOSYS or EPERM. */ + static int getentropy_works = 1; + + if (!getentropy_works) { + return 0; + } + + while (size > 0) { + /* getentropy() is limited to returning up to 256 bytes. Call it + multiple times if more bytes are requested. */ + Py_ssize_t len = Py_MIN(size, 256); + int res; + + if (raise) { + Py_BEGIN_ALLOW_THREADS + res = getentropy(buffer, len); + Py_END_ALLOW_THREADS + } + else { + res = getentropy(buffer, len); + } + + if (res < 0) { + /* ENOSYS: the syscall is not supported by the running kernel. + EPERM: the syscall is blocked by a security policy (ex: SECCOMP) + or something else. */ + if (errno == ENOSYS || errno == EPERM) { + getentropy_works = 0; + return 0; + } + + if (errno == EINTR) { + if (raise) { + if (PyErr_CheckSignals()) { + return -1; + } + } + + /* retry getentropy() if it was interrupted by a signal */ + continue; + } + + if (raise) { + PyErr_SetFromErrno(PyExc_OSError); + } + return -1; + } + + buffer += len; + size -= len; + } + return 1; +} +#endif /* defined(HAVE_GETENTROPY) && !defined(sun) */ + static struct { int fd; @@ -225,35 +266,38 @@ static struct { ino_t st_ino; } urandom_cache = { -1 }; +/* Read random bytes from the /dev/urandom device: + + - Return 0 on success + - Raise an exception (if raise is non-zero) and return -1 on error + + Possible causes of errors: + + - open() failed with ENOENT, ENXIO, ENODEV, EACCES: the /dev/urandom device + was not found. For example, it was removed manually or not exposed in a + chroot or container. + - open() failed with a different error + - fstat() failed + - read() failed or returned 0 -/* Read 'size' random bytes from py_getrandom(). Fall back on reading from - /dev/urandom if getrandom() is not available. + read() is retried if it failed with EINTR: interrupted by a signal. - Return 0 on success. Raise an exception (if raise is non-zero) and return -1 - on error. */ + The file descriptor of the device is kept open between calls to avoid using + many file descriptors when run in parallel from multiple threads: + see the issue #18756. + + st_dev and st_ino fields of the file descriptor (from fstat()) are cached to + check if the file descriptor was replaced by a different file (which is + likely a bug in the application): see the issue #21207. + + If the file descriptor was closed or replaced, open a new file descriptor + but don't close the old file descriptor: it probably points to something + important for some third-party code. */ static int -dev_urandom(char *buffer, Py_ssize_t size, int blocking, int raise) +dev_urandom(char *buffer, Py_ssize_t size, int raise) { int fd; Py_ssize_t n; -#ifdef PY_GETRANDOM - int res; -#endif - - assert(size > 0); - -#ifdef PY_GETRANDOM - res = py_getrandom(buffer, size, blocking, raise); - if (res < 0) { - return -1; - } - if (res == 1) { - return 0; - } - /* getrandom() failed with ENOSYS or EPERM, - fall back on reading /dev/urandom */ -#endif - if (raise) { struct _Py_stat_struct st; @@ -275,9 +319,10 @@ dev_urandom(char *buffer, Py_ssize_t size, int blocking, int raise) fd = _Py_open("/dev/urandom", O_RDONLY); if (fd < 0) { if (errno == ENOENT || errno == ENXIO || - errno == ENODEV || errno == EACCES) + errno == ENODEV || errno == EACCES) { PyErr_SetString(PyExc_NotImplementedError, "/dev/urandom (or equivalent) not found"); + } /* otherwise, keep the OSError exception raised by _Py_open() */ return -1; } @@ -349,8 +394,8 @@ dev_urandom_close(void) urandom_cache.fd = -1; } } +#endif /* !MS_WINDOWS */ -#endif /* Fill buffer with pseudo-random bytes generated by a linear congruent generator (LCG): @@ -373,14 +418,56 @@ lcg_urandom(unsigned int x0, unsigned char *buffer, size_t size) } } -/* If raise is zero: - - Don't raise exceptions on error - - Don't call PyErr_CheckSignals() on EINTR (retry directly the interrupted - syscall) - - Don't release the GIL to call syscalls. */ +/* Read random bytes: + + - Return 0 on success + - Raise an exception (if raise is non-zero) and return -1 on error + + Used sources of entropy ordered by preference, preferred source first: + + - CryptGenRandom() on Windows + - getrandom() function (ex: Linux and Solaris): call py_getrandom() + - getentropy() function (ex: OpenBSD): call py_getentropy() + - /dev/urandom device + + Read from the /dev/urandom device if getrandom() or getentropy() function + is not available or does not work. + + Prefer getrandom() over getentropy() because getrandom() supports blocking + and non-blocking mode: see the PEP 524. Python requires non-blocking RNG at + startup to initialize its hash secret, but os.urandom() must block until the + system urandom is initialized (at least on Linux 3.17 and newer). + + Prefer getrandom() and getentropy() over reading directly /dev/urandom + because these functions don't need file descriptors and so avoid ENFILE or + EMFILE errors (too many open files): see the issue #18756. + + Only the getrandom() function supports non-blocking mode. + + Only use RNG running in the kernel. They are more secure because it is + harder to get the internal state of a RNG running in the kernel land than a + RNG running in the user land. The kernel has a direct access to the hardware + and has access to hardware RNG, they are used as entropy sources. + + Note: the OpenSSL RAND_pseudo_bytes() function does not automatically reseed + its RNG on fork(), two child processes (with the same pid) generate the same + random numbers: see issue #18747. Kernel RNGs don't have this issue, + they have access to good quality entropy sources. + + If raise is zero: + + - Don't raise an exception on error + - Don't call the Python signal handler (don't call PyErr_CheckSignals()) if + a function fails with EINTR: retry directly the interrupted function + - Don't release the GIL to call functions. +*/ static int pyurandom(void *buffer, Py_ssize_t size, int blocking, int raise) { +#if defined(PY_GETRANDOM) || defined(PY_GETENTROPY) + int res; +#endif + if (size < 0) { if (raise) { PyErr_Format(PyExc_ValueError, @@ -395,10 +482,25 @@ pyurandom(void *buffer, Py_ssize_t size, int blocking, int raise) #ifdef MS_WINDOWS return win32_urandom((unsigned char *)buffer, size, raise); -#elif defined(PY_GETENTROPY) - return py_getentropy(buffer, size, raise); #else - return dev_urandom(buffer, size, blocking, raise); + +#if defined(PY_GETRANDOM) || defined(PY_GETENTROPY) +#ifdef PY_GETRANDOM + res = py_getrandom(buffer, size, blocking, raise); +#else + res = py_getentropy(buffer, size, raise); +#endif + if (res < 0) { + return -1; + } + if (res == 1) { + return 0; + } + /* getrandom() or getentropy() function is not available: failed with + ENOSYS or EPERM. Fall back on reading from /dev/urandom. */ +#endif + + return dev_urandom(buffer, size, raise); #endif } @@ -491,8 +593,6 @@ _PyRandom_Fini(void) CryptReleaseContext(hCryptProv, 0); hCryptProv = 0; } -#elif defined(PY_GETENTROPY) - /* nothing to clean */ #else dev_urandom_close(); #endif -- cgit v1.2.1 From 660076761180bac82ff7467926a4b1d41a50945f Mon Sep 17 00:00:00 2001 From: Serhiy Storchaka Date: Fri, 20 Jan 2017 08:33:06 +0200 Subject: Issue #29327: Fixed a crash when pass the iterable keyword argument to sorted(). --- Python/bltinmodule.c | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) (limited to 'Python') diff --git a/Python/bltinmodule.c b/Python/bltinmodule.c index 69e5f08b0e..8acdfc3222 100644 --- a/Python/bltinmodule.c +++ b/Python/bltinmodule.c @@ -2123,7 +2123,7 @@ builtin_sorted(PyObject *self, PyObject *args, PyObject *kwds) { PyObject *newlist, *v, *seq, *keyfunc=NULL, **newargs; PyObject *callable; - static char *kwlist[] = {"iterable", "key", "reverse", 0}; + static char *kwlist[] = {"", "key", "reverse", 0}; int reverse; Py_ssize_t nargs; @@ -2142,6 +2142,7 @@ builtin_sorted(PyObject *self, PyObject *args, PyObject *kwds) return NULL; } + assert(PyTuple_GET_SIZE(args) >= 1); newargs = &PyTuple_GET_ITEM(args, 1); nargs = PyTuple_GET_SIZE(args) - 1; v = _PyObject_FastCallDict(callable, newargs, nargs, kwds); -- cgit v1.2.1